{"meta":{"query_hash":"461ca0eeae0b","filters":{"venue":"Biogeosciences"},"cohort_total":713,"direct_labels_cover":0,"predictions_cover":713,"exported":713,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/461ca0eeae0b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Biogeosciences"},"results":[{"id":"W1643008739","doi":"10.5194/bg-12-4509-2015","title":"Reviews and Syntheses: optical sampling of the flux tower footprint","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures; National Aeronautics and Space Administration; University of Alberta; National Science Foundation","keywords":"Remote sensing; Photochemical Reflectance Index; Context (archaeology); Sampling (signal processing); Footprint; Flux (metallurgy); Extrapolation; Environmental science; Normalized Difference Vegetation Index; Scale (ratio); Vegetation (pathology); Computer science; Leaf area index; Geography; Ecology; Mathematics; Cartography; Telecommunications; Statistics","score_opus":0.05159202578115609,"score_gpt":0.2547995435404065,"score_spread":0.20320751775925042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1643008739","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001760402,0.99302846,0.0009109147,0.00090332865,0.0014718553,0.000019323883,0.00034975668,0.00003329179,0.0031071196],"genre_scores_gemma":[0.001706335,0.99284124,0.0016440436,0.00103678,0.0010603239,0.00006763224,0.00048231072,0.000034450724,0.0011268955],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988236,0.0003001966,0.00019935408,0.00026016173,0.00036492682,0.000051727326],"domain_scores_gemma":[0.9931899,0.004441472,0.0007845894,0.00034367625,0.0011146191,0.00012569291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024375939,0.0015352155,0.0020199586,0.007530968,0.0004600133,0.0025362836,0.0012525033,0.0011930827,0.011280159],"category_scores_gemma":[0.0104233045,0.0005968863,0.0010622309,0.011586294,0.0010658416,0.0034310091,0.0011736188,0.0020178815,0.0030969353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098540826,0.000044731714,0.00037910254,0.09197909,0.0003221304,0.00014451257,0.0005322354,0.0009099516,0.001015565,0.026133271,0.12829025,0.7501506],"study_design_scores_gemma":[0.0000055027404,0.000023747469,0.0011156091,0.021665454,0.00013626514,0.00014296189,0.00012192196,0.00008365289,0.0002506237,0.0030277777,0.9734031,0.000023259097],"about_ca_topic_score_codex":0.004388699,"about_ca_topic_score_gemma":0.0050449544,"teacher_disagreement_score":0.011280159,"about_ca_system_score_codex":0.0022637986,"about_ca_system_score_gemma":0.0041488865,"threshold_uncertainty_score":0.03773588},"labels":[],"label_agreement":null},{"id":"W1664373259","doi":"10.5194/bg-13-2945-2016","title":"Contributions of dynamic environmental signals during life-cycle transitions to early life-history traits in lodgepole pine ( <i>Pinus contorta</i> Dougl.)","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pinus contorta; Dormancy; Germination; Life history theory; Climate change; Perennial plant; Biology; Ecology; Growing season; Environmental science; Agronomy; Life history","score_opus":0.0067294135586687745,"score_gpt":0.20932848277360114,"score_spread":0.20259906921493237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1664373259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99970907,0.000054956072,0.00002958038,0.000004489593,5.0127676e-7,0.0000010255726,0.000085322354,0.0000013773698,0.00011371699],"genre_scores_gemma":[0.9997738,0.000018463763,0.000027029164,0.0000034918194,5.101977e-7,0.0000010340252,0.00011706353,6.644327e-7,0.00005808549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999291,0.000011554337,0.0000036611927,0.000024322591,0.0000119699835,0.000019403999],"domain_scores_gemma":[0.9997025,0.000047698653,0.000107058644,0.000015218691,0.000047306294,0.000080201266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013754246,0.00012895129,0.00011856504,0.00054301164,0.00031550726,0.00043980058,0.00013631955,0.00010995475,0.0005007039],"category_scores_gemma":[0.00031527606,0.00008991825,0.00010136464,0.00039053537,0.00020306188,0.00009318725,0.00016726137,0.00016774054,0.000048316884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006500632,0.0000139038175,0.98801106,0.000008750515,0.000035714376,0.00007432839,0.00013530058,0.00021598095,0.008583488,0.000027438007,0.00004795708,0.0027811124],"study_design_scores_gemma":[3.0680528e-7,0.000003948694,0.9997775,5.491776e-7,0.000002479984,0.000010509634,0.000041964555,0.00007960968,0.00004879226,0.0000045000897,0.000029246292,6.467167e-7],"about_ca_topic_score_codex":0.08112986,"about_ca_topic_score_gemma":0.21866606,"teacher_disagreement_score":0.08112986,"about_ca_system_score_codex":0.0005755257,"about_ca_system_score_gemma":0.0003121209,"threshold_uncertainty_score":0.16131526},"labels":[],"label_agreement":null},{"id":"W1749674364","doi":"10.5194/bg-12-5103-2015","title":"Downward particle flux and carbon export in the Beaufort Sea, Arctic Ocean; the role of zooplankton","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Golder Associates (Canada); Takuvik Joint International Laboratory; Université Laval","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; International Atomic Energy Agency; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; ArcticNet; Gobierno del Principado de Asturias","keywords":"Sediment trap; Oceanography; Zooplankton; Flux (metallurgy); Photic zone; Arctic; Pellets; Continental shelf; Environmental science; Geology; Atmospheric sciences; Water column; Chemistry; Phytoplankton; Ecology; Biology","score_opus":0.015151133168088997,"score_gpt":0.20670220851023768,"score_spread":0.19155107534214869,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1749674364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985286,0.00027257315,0.000074008705,0.000031872027,0.000004621091,0.000002661394,0.00053884165,0.0000061622627,0.0005405342],"genre_scores_gemma":[0.9980673,0.00017711835,0.0002673841,0.000028538625,0.000009216216,0.0000052770915,0.00072148966,0.0000063052894,0.0007174254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998492,0.000014683862,0.0000067191595,0.0000424332,0.000060427185,0.000026533691],"domain_scores_gemma":[0.9995939,0.000037203765,0.00015868984,0.000015073858,0.00012669738,0.00006839088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028713865,0.00052587024,0.00021192538,0.00070058694,0.0007629254,0.0009178231,0.00031118462,0.00039715137,0.0006237517],"category_scores_gemma":[0.00033702957,0.00022076121,0.00029760215,0.00089952693,0.00031991221,0.0003875234,0.00037780948,0.0002550728,0.00017839287],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003069697,0.000029923956,0.97442424,0.00003989486,0.00009655031,0.000272471,0.0005640655,0.00039268035,0.017157128,0.000048183232,0.0002209907,0.006446959],"study_design_scores_gemma":[0.0000012590968,0.000014898349,0.9992675,0.0000018837057,0.000005589338,0.000023359644,0.00006143797,0.00014252398,0.00025203428,0.0000031362852,0.0002239744,0.0000024002723],"about_ca_topic_score_codex":0.53947127,"about_ca_topic_score_gemma":0.6223735,"teacher_disagreement_score":0.53947127,"about_ca_system_score_codex":0.0022757505,"about_ca_system_score_gemma":0.0012468345,"threshold_uncertainty_score":0.9264817},"labels":[],"label_agreement":null},{"id":"W1820764679","doi":"10.5194/bg-12-6999-2015","title":"Impact of forest harvesting on water quality and fluorescence characteristics of dissolved organic matter in eastern Canadian Boreal Shield lakes in summer","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Dissolved organic carbon; Environmental science; Boreal; Taiga; Water quality; Hydrology (agriculture); Aquatic ecosystem; Organic matter; Ecosystem; Ecology; Geology; Biology","score_opus":0.03383514990232122,"score_gpt":0.26737839691731136,"score_spread":0.23354324701499013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1820764679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996253,0.00004185877,0.000021911865,0.000009209219,9.1632916e-7,0.0000034407087,0.000094051284,0.0000018690457,0.00020133083],"genre_scores_gemma":[0.99949396,0.000037039616,0.00008927386,0.000012784383,8.6040455e-7,0.000004205542,0.00016898826,8.237284e-7,0.0001920532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984276,0.000009535956,0.0000066620037,0.000028770073,0.00005256178,0.00005972508],"domain_scores_gemma":[0.9996592,0.000021775804,0.000072998635,0.000010960416,0.00014276923,0.000092227456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024792756,0.00023407533,0.00023519881,0.00032686678,0.0012841345,0.000589706,0.00024788882,0.00019391598,0.00034836738],"category_scores_gemma":[0.00032669824,0.00013746653,0.00017543517,0.00044250226,0.00050188106,0.00024269054,0.00036576833,0.00018341589,0.000033957298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000536087,0.00008794023,0.9589493,0.00003802697,0.00007742652,0.00026436712,0.0011263791,0.00042274702,0.03215031,0.000046273766,0.00021579176,0.006085305],"study_design_scores_gemma":[0.0000010750427,0.000015205064,0.9992551,0.0000010151776,0.000005802023,0.000009399426,0.00021441361,0.00009665291,0.00030623394,0.0000026097703,0.00009046295,0.00000198966],"about_ca_topic_score_codex":0.830869,"about_ca_topic_score_gemma":0.9364005,"teacher_disagreement_score":0.16913098,"about_ca_system_score_codex":0.004821462,"about_ca_system_score_gemma":0.003286469,"threshold_uncertainty_score":0.340254},"labels":[],"label_agreement":null},{"id":"W1883568588","doi":"10.5194/bg-12-5705-2015","title":"Microtopographic variation in soil respiration and its controlling factors vary with plant phenophases in a desert–shrub ecosystem","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Beijing Forestry University; National Natural Science Foundation of China; Academy of Finland; Itä-Suomen Yliopisto","keywords":"Shrub; Soil respiration; Environmental science; Spatial variability; Biomass (ecology); Ecosystem; Sand dune stabilization; Phenology; Ecology; Common spatial pattern; Atmospheric sciences; Agronomy; Hydrology (agriculture); Biology; Geology","score_opus":0.018667519678659265,"score_gpt":0.20241616756069103,"score_spread":0.18374864788203177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1883568588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974245,0.0000340987,0.000066613444,0.0000031598956,5.030285e-7,0.0000016158034,0.00006618476,0.0000021649344,0.000083300256],"genre_scores_gemma":[0.99973816,0.000018631086,0.00007731464,0.000003741672,0.0000010283093,0.0000027479202,0.000106918385,7.689638e-7,0.000050662322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986494,0.00002560099,0.000012339812,0.000051442225,0.00002094899,0.000024656323],"domain_scores_gemma":[0.99977154,0.000030064504,0.000078946,0.000018102925,0.000048842856,0.00005254716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025267026,0.00022548102,0.00028077097,0.00064770406,0.00029408917,0.0002973829,0.0002001533,0.00014726598,0.0003364591],"category_scores_gemma":[0.00022104387,0.00015527628,0.0002345702,0.000503415,0.00027740662,0.00021212712,0.0002834074,0.00011279953,0.00007123958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000076549746,0.000022769742,0.97002745,0.00002829773,0.00008762128,0.00009975022,0.0003164389,0.00023667113,0.025584726,0.000026696442,0.00003615695,0.0034568198],"study_design_scores_gemma":[5.1230705e-7,0.000005813335,0.9996921,5.046185e-7,0.0000027883116,0.000010266535,0.000050089646,0.000121697245,0.000091866714,0.000003138824,0.000020217905,9.796298e-7],"about_ca_topic_score_codex":0.01554877,"about_ca_topic_score_gemma":0.037885934,"teacher_disagreement_score":0.01554877,"about_ca_system_score_codex":0.0004450962,"about_ca_system_score_gemma":0.00023546607,"threshold_uncertainty_score":0.030916512},"labels":[],"label_agreement":null},{"id":"W1898496237","doi":"10.5194/bg-12-7503-2015","title":"Do land surface models need to include differential plant species responses to drought? Examining model predictions across a mesic-xeric gradient in Europe","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Macquarie University; National Science Foundation; Imperial College London; Microsoft Research; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; Natural Resources Canada; Université Laval; Commonwealth Scientific and Industrial Research Organisation; U.S. Department of Energy","keywords":"Deserts and xeric shrublands; Biosphere model; Environmental science; Vegetation (pathology); Biosphere; Climate model; Climate change; Precipitation; Atmospheric sciences; Climatology; Ecology; Geography; Biology; Geology; Meteorology; Habitat","score_opus":0.05551862723508981,"score_gpt":0.25348054420432387,"score_spread":0.19796191696923404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1898496237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99527305,0.00011304344,0.0028857242,0.00024708128,0.000011156135,0.0000073085057,0.00030947404,0.00007610316,0.0010770572],"genre_scores_gemma":[0.9987785,0.00004723342,0.00079904473,0.00004881114,0.0000034437069,0.000006954728,0.00017124545,0.000019950492,0.00012478326],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997657,0.00010703947,0.000017279663,0.00005667296,0.000017845017,0.000035435416],"domain_scores_gemma":[0.99926144,0.000418249,0.00006292407,0.00006935226,0.00011928301,0.000068832436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015435427,0.00047787573,0.0005699796,0.00038940503,0.00038927546,0.0009577551,0.0007006066,0.0010455422,0.00083687063],"category_scores_gemma":[0.0027692597,0.00038099813,0.0006682816,0.00058584445,0.00041226015,0.0012959791,0.00040794277,0.0005115296,0.00013543422],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118847835,0.000053960182,0.06733412,0.000035637626,0.00013404233,0.000050753013,0.00006440279,0.9250436,0.002539899,0.0009935702,0.00036603346,0.003265124],"study_design_scores_gemma":[0.00004854847,0.00004100792,0.030712387,0.0000106556645,0.000045012705,0.000014385704,0.00007103916,0.9668987,0.0008616779,0.00090112945,0.00037562623,0.000019803656],"about_ca_topic_score_codex":0.027533457,"about_ca_topic_score_gemma":0.019259939,"teacher_disagreement_score":0.027533457,"about_ca_system_score_codex":0.000812307,"about_ca_system_score_gemma":0.00046144726,"threshold_uncertainty_score":0.05474639},"labels":[],"label_agreement":null},{"id":"W1911135842","doi":"10.5194/bg-12-6823-2015","title":"Photomineralization and photomethanification of dissolved organic matter in Saguenay River surface water","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Photobleaching; Environmental chemistry; Saturation (graph theory); Chemistry; Absorbance; Surface water; Water column; Irradiance; Organic matter; Environmental science; Oceanography; Geology; Phytoplankton; Environmental engineering; Fluorescence","score_opus":0.01796527716983803,"score_gpt":0.20732891316680893,"score_spread":0.1893636359969709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1911135842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993623,0.00021512073,0.00013136529,0.0000073761707,0.0000014975656,0.000003761513,0.00011071069,0.0000034299828,0.00016435562],"genre_scores_gemma":[0.9987583,0.00022161037,0.00044093715,0.000014709361,0.0000015636582,0.000013398136,0.00025511527,0.0000028920672,0.00029141695],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999014,0.000012409526,0.00000856167,0.00003352848,0.00002772516,0.000016320044],"domain_scores_gemma":[0.9999336,0.000008767453,0.000019532716,0.000002374822,0.000027989412,0.00000773942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014178644,0.00028950154,0.00029752555,0.00026868103,0.00024889223,0.00042142082,0.0001693602,0.00028196283,0.00020937501],"category_scores_gemma":[0.00012271084,0.0001375696,0.00022378606,0.00030011294,0.00020349468,0.00025917307,0.00020485703,0.00019217141,0.0000593827],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029602752,0.00002242655,0.102911316,0.00018664861,0.000076993,0.00014670799,0.00042039176,0.0006172668,0.88647664,0.00006782108,0.00004317186,0.008734648],"study_design_scores_gemma":[0.000011561089,0.00035069018,0.7911942,0.000017185901,0.000071645496,0.00012469613,0.00078270194,0.0025548255,0.20236067,0.00005061604,0.0024619007,0.000019276154],"about_ca_topic_score_codex":0.029491369,"about_ca_topic_score_gemma":0.037689358,"teacher_disagreement_score":0.029491369,"about_ca_system_score_codex":0.0006890876,"about_ca_system_score_gemma":0.00028113392,"threshold_uncertainty_score":0.058639407},"labels":[],"label_agreement":null},{"id":"W1953631918","doi":"10.5194/bg-13-2511-2016","title":"Looking beyond stratification: a model-based analysis of the biological drivers of oxygen deficiency in the North Sea","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Koninklijk Nederlands Instituut voor Onderzoek der Zee; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universität Hamburg; Deutsche Forschungsgemeinschaft; Department for Environment, Food and Rural Affairs, UK Government; Deutsches Klimarechenzentrum; Centre for Environment, Fisheries and Aquaculture Science","keywords":"Thermocline; Stratification (seeds); Oceanography; Oxygen; Temperate climate; Environmental science; Atmospheric sciences; Ecology; Geology; Biology; Chemistry","score_opus":0.02071764045893122,"score_gpt":0.20821244201229225,"score_spread":0.18749480155336104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953631918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99473107,0.00014494755,0.0033909406,0.00018178538,0.000016938387,0.000014683941,0.00027535504,0.00007181545,0.0011724008],"genre_scores_gemma":[0.9975656,0.000079152625,0.0015640111,0.000033058997,0.000011383698,0.000025689964,0.00022197631,0.000020850091,0.00047817384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998876,0.00004950368,0.000006361683,0.00002455087,0.000009063539,0.000023014587],"domain_scores_gemma":[0.99930644,0.00045824432,0.000076214055,0.00002819818,0.000058352143,0.000072449206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059768016,0.00068527873,0.0007654243,0.0005589435,0.000536731,0.00091461145,0.00087911607,0.0012096087,0.0015294519],"category_scores_gemma":[0.0012945795,0.00046077828,0.0012473535,0.000347816,0.00050018926,0.000584959,0.0007241081,0.0006196786,0.00011500529],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006412282,0.000059108548,0.012629669,0.00002103279,0.00009530992,0.000054200616,0.00001844695,0.9849947,0.0006479415,0.0004767349,0.00013452357,0.0008041711],"study_design_scores_gemma":[0.00001313108,0.00002416673,0.003410001,0.0000023012458,0.000018974146,0.000004537305,0.000014810602,0.99623775,0.000044405646,0.00017707006,0.000047494643,0.000005264139],"about_ca_topic_score_codex":0.06589248,"about_ca_topic_score_gemma":0.03235502,"teacher_disagreement_score":0.06589248,"about_ca_system_score_codex":0.0013616735,"about_ca_system_score_gemma":0.0011493197,"threshold_uncertainty_score":0.13101792},"labels":[],"label_agreement":null},{"id":"W1953989680","doi":"10.5194/bg-13-133-2016","title":"Concentration maxima of volatile organic iodine compounds in the bottom layer water and the cold, dense water over the Chukchi Sea in the western Arctic Ocean: a possibility of production related to the degradation of organic matter","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"JST-Mirai Program; Japan Society for the Promotion of Science","keywords":"Bottom water; Oceanography; Diiodomethane; Water column; Organic matter; Colored dissolved organic matter; Arctic; Seawater; Water mass; Total organic carbon; Geology; Dissolved organic carbon; Environmental science; Environmental chemistry; Phytoplankton; Chemistry; Nutrient","score_opus":0.009397398264859125,"score_gpt":0.19540854190610235,"score_spread":0.18601114364124322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1953989680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99963474,0.000050068338,0.00003704865,0.000005372391,0.0000015425325,0.0000026688588,0.00009221668,0.000002277727,0.00017401975],"genre_scores_gemma":[0.99939466,0.00005279352,0.00016534716,0.000010135205,0.000002445535,0.000004968731,0.00018441852,0.0000014647143,0.00018367378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990344,0.0000057032485,0.000006254165,0.000029182827,0.000024309424,0.00003119273],"domain_scores_gemma":[0.99980026,0.000017357492,0.000054803702,0.0000045157203,0.00007103518,0.0000520243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012973124,0.00048636226,0.0003164758,0.0008950692,0.00089601334,0.00058173644,0.0002492406,0.00031342905,0.00040633848],"category_scores_gemma":[0.0001683165,0.00036827388,0.00028659793,0.0009748659,0.00041034498,0.00029829782,0.00042559524,0.0002391901,0.00007226592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001788578,0.000028530181,0.9145354,0.00006606565,0.00009073351,0.00023605739,0.00071885413,0.00023628962,0.0808687,0.00001996739,0.000074596785,0.0029459319],"study_design_scores_gemma":[0.0000026580044,0.000024771016,0.9975042,0.0000035579972,0.000023075037,0.000025732663,0.00045437185,0.00029759298,0.0015404095,0.000003437595,0.00011505314,0.000005061141],"about_ca_topic_score_codex":0.1752569,"about_ca_topic_score_gemma":0.2499929,"teacher_disagreement_score":0.1752569,"about_ca_system_score_codex":0.0008609655,"about_ca_system_score_gemma":0.00086342316,"threshold_uncertainty_score":0.3484736},"labels":[],"label_agreement":null},{"id":"W1964368913","doi":"10.5194/bg-9-4553-2012","title":"Diversity of cultured photosynthetic flagellates in the northeast Pacific and Arctic Oceans in summer","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Protist diversity and phylogeny","field":"Biochemistry, Genetics and Molecular Biology","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Soochow University; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; University of Oxford; Northwestern University","keywords":"Biology; Phytoplankton; Arctic; Botany; Picoplankton; Algae; Emiliania huxleyi; Chlorophyll a; Oceanography; Ecology; Geology","score_opus":0.017653578044101215,"score_gpt":0.2245222140926907,"score_spread":0.20686863604858946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964368913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988167,0.00027441522,0.00010068961,0.00000811547,0.000006596761,0.0000120613095,0.00042506782,0.0000026405382,0.0003538067],"genre_scores_gemma":[0.9960901,0.0005762302,0.0008514916,0.000027180315,0.000011978794,0.000026175072,0.0016464092,0.0000061431233,0.0007641822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996419,0.00002376627,0.000034946253,0.0001268079,0.0000911016,0.000081522725],"domain_scores_gemma":[0.99975663,0.00003244267,0.00006127554,0.000013835408,0.000073616604,0.00006214393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024404335,0.0005812861,0.00039788085,0.0010862848,0.00093017425,0.0006849441,0.00028093028,0.0002483662,0.00038420764],"category_scores_gemma":[0.00035133274,0.00024995452,0.00030822845,0.0012010798,0.0003426993,0.0003324613,0.0006556807,0.00019900374,0.00015709616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068943034,0.000104700935,0.67064106,0.00021586251,0.000108314794,0.0005974109,0.003210244,0.0002745236,0.3110991,0.000042971227,0.00011398058,0.012902306],"study_design_scores_gemma":[0.0000055706664,0.00026509576,0.98669773,0.000019199426,0.000049182036,0.00041555546,0.0025069255,0.00024882788,0.008604012,0.00001469835,0.0011625584,0.000010625057],"about_ca_topic_score_codex":0.019577391,"about_ca_topic_score_gemma":0.03405567,"teacher_disagreement_score":0.019577391,"about_ca_system_score_codex":0.0003147961,"about_ca_system_score_gemma":0.0005846321,"threshold_uncertainty_score":0.03892684},"labels":[],"label_agreement":null},{"id":"W1965720988","doi":"10.5194/bg-12-3043-2015","title":"Pleistocene sediment offloading and the global sulfur cycle","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sulfur cycle; Sedimentation; Sediment; δ34S; Pyrite; Geology; Erosion; Sulfur; Continental shelf; Quaternary; Oceanography; Sea level; Sulfate; Holocene; Environmental science; Geochemistry; Paleontology; Chemistry; Hydrothermal circulation","score_opus":0.029381733436992467,"score_gpt":0.25797475076722315,"score_spread":0.22859301733023069,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965720988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99725705,0.0005458926,0.000108236134,0.0001378738,0.000008265086,0.0000014600002,0.0006107348,0.000016063488,0.0013143105],"genre_scores_gemma":[0.9986105,0.00048421713,0.000055644676,0.0000259365,0.000008992876,0.0000010809101,0.0003783154,0.000005561462,0.0004297401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999972,0.0000044874687,0.000003279081,0.0000094934685,0.000005245832,0.0000054768516],"domain_scores_gemma":[0.99987936,0.000015555874,0.000049905808,0.000010923632,0.000024815748,0.000019414252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012883157,0.00025714174,0.00014171143,0.0005420499,0.00029500437,0.0005781523,0.00007626666,0.00018490935,0.0019125274],"category_scores_gemma":[0.0003423401,0.000117851974,0.00015387812,0.0007082087,0.0003500551,0.00029243177,0.00034748676,0.00017608474,0.00015649931],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004456193,0.00003665405,0.95759326,0.00013275922,0.00015898641,0.00031877848,0.00053463486,0.0042594573,0.009780424,0.0030621416,0.0006985422,0.022978805],"study_design_scores_gemma":[0.000016340242,0.000027803962,0.99509746,0.000012721729,0.000027051496,0.00007636657,0.00011951991,0.0011791073,0.00065981876,0.00086540804,0.0019140628,0.000004309552],"about_ca_topic_score_codex":0.019687863,"about_ca_topic_score_gemma":0.033444542,"teacher_disagreement_score":0.019687863,"about_ca_system_score_codex":0.0008170662,"about_ca_system_score_gemma":0.0003878272,"threshold_uncertainty_score":0.039146543},"labels":[],"label_agreement":null},{"id":"W1967860462","doi":"10.5194/bg-12-2707-2015","title":"Autonomous profiling float observations of the high-biomass plume downstream of the Kerguelen Plateau in the Southern Ocean","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Antarctic Climate and Ecosystems Cooperative Research Centre; Université de Paris; Campus France; Centre National de la Recherche Scientifique; Commonwealth Scientific and Industrial Research Organisation","keywords":"Water column; Mixed layer; Phytoplankton; Oceanography; Stratification (seeds); Plume; Environmental science; Plateau (mathematics); Chlorophyll a; Ocean color; Ocean gyre; Spatial variability; Surface water; Temperature salinity diagrams; Atmospheric sciences; Salinity; Geology; Satellite; Chemistry; Ecology; Geography; Meteorology","score_opus":0.029782894418685868,"score_gpt":0.19971951054713055,"score_spread":0.16993661612844468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967860462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993247,0.000024730982,0.00007967134,0.000007308715,0.000001039581,0.000005005192,0.00013655121,0.000009441039,0.00041163212],"genre_scores_gemma":[0.9987979,0.00003058798,0.00049885904,0.000007656021,0.0000016586213,0.000009256624,0.00036120036,0.0000027080907,0.00029012182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999385,0.000004968752,0.000002765076,0.000018383218,0.00002120744,0.000014221336],"domain_scores_gemma":[0.99989533,0.000011190666,0.000023716635,0.000009862212,0.00003469374,0.00002514574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001060417,0.00021267777,0.00023110087,0.0005830781,0.00032453673,0.00039154186,0.00032685432,0.00023213483,0.00037225318],"category_scores_gemma":[0.00024336949,0.0001655986,0.0001373257,0.0003872937,0.0001544579,0.00025755638,0.00047201343,0.00016596993,0.00013303851],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017378782,0.00008727956,0.8695382,0.00004169623,0.00009421766,0.00033378034,0.0009994248,0.002560148,0.11130694,0.000081099184,0.00028076794,0.014502602],"study_design_scores_gemma":[0.000006590398,0.000029148081,0.99620265,0.000004034458,0.000007892347,0.000030057774,0.00018578509,0.002334951,0.00082064566,0.000007049223,0.00036691115,0.0000043324962],"about_ca_topic_score_codex":0.05342802,"about_ca_topic_score_gemma":0.103792645,"teacher_disagreement_score":0.05342802,"about_ca_system_score_codex":0.0005070531,"about_ca_system_score_gemma":0.00043981988,"threshold_uncertainty_score":0.10623407},"labels":[],"label_agreement":null},{"id":"W1969435584","doi":"10.5194/bg-12-29-2015","title":"Distribution and biophysical processes of beaded streams in Arctic permafrost landscapes","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Thermokarst; Permafrost; STREAMS; Geology; Landform; Riparian zone; Arctic; Perennial stream; Stadial; Hydrology (agriculture); Aggradation; Channel (broadcasting); Physical geography; Geomorphology; Holocene; Fluvial; Habitat; Oceanography; Ecology; Geography; Structural basin","score_opus":0.03898905714592489,"score_gpt":0.24590491682795235,"score_spread":0.20691585968202747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969435584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997594,0.000022329821,0.000044947305,0.0000039141255,4.3788808e-7,0.000001301411,0.000052812687,0.0000013046171,0.000113529604],"genre_scores_gemma":[0.9997112,0.000024262275,0.000101689235,0.0000023577682,7.843911e-7,0.0000018730804,0.00008543131,6.565606e-7,0.00007159877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985707,0.000024591362,0.0000134609545,0.000045863653,0.000024847068,0.0000341861],"domain_scores_gemma":[0.9994999,0.00006534737,0.00023462623,0.000025229841,0.00008428125,0.000090704474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024277643,0.00009563718,0.00012324806,0.0010617913,0.00045826088,0.0007492076,0.00017540841,0.00014949005,0.0005485527],"category_scores_gemma":[0.0006038828,0.000118914904,0.00011207784,0.0012514694,0.00043957992,0.0003525752,0.00043014213,0.00012636138,0.000053397962],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002786045,0.000013426515,0.9956435,0.0000053093554,0.000013380957,0.000050565563,0.00060496817,0.00017986387,0.000600086,0.000043395376,0.000030790747,0.0027869197],"study_design_scores_gemma":[5.996638e-7,0.000007424585,0.99852294,0.000004305146,0.0000031117463,0.00003671003,0.0007915212,0.00044701653,0.000057095218,0.000034337776,0.000092954484,0.0000019520594],"about_ca_topic_score_codex":0.036770508,"about_ca_topic_score_gemma":0.11864802,"teacher_disagreement_score":0.036770508,"about_ca_system_score_codex":0.00054588483,"about_ca_system_score_gemma":0.00032900713,"threshold_uncertainty_score":0.073112965},"labels":[],"label_agreement":null},{"id":"W1971234286","doi":"10.5194/bg-9-1351-2012","title":"Multifactor controls on terrestrial N <sub>2</sub> O flux over North America from 1979 through 2010","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Environmental science; Fertilizer; Atmospheric sciences; Nitrous oxide; Greenhouse gas; Flux (metallurgy); Terrestrial ecosystem; Ecosystem; Climate change; Deposition (geology); Global warming; Ozone; Environmental chemistry; Chemistry; Ecology; Oceanography; Geography; Meteorology; Geology","score_opus":0.013056432114188362,"score_gpt":0.21584201939938144,"score_spread":0.20278558728519308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971234286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747086,0.0002320764,0.00027452363,0.00019540518,0.000014762983,0.0000034892594,0.0012163721,0.000028187349,0.0005644103],"genre_scores_gemma":[0.9985721,0.0000898405,0.00014021495,0.00002661793,0.000006917812,0.0000055162236,0.00083579787,0.000006306433,0.000316629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997845,0.00003616037,0.000007673522,0.00011343127,0.000022856773,0.000035322715],"domain_scores_gemma":[0.99959975,0.00007542071,0.00014096129,0.00003370958,0.00009139258,0.00005877273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032131613,0.0003118166,0.0001998968,0.00031487475,0.0002840247,0.00046041142,0.0002559342,0.00022432566,0.0009419934],"category_scores_gemma":[0.00043093282,0.00016769864,0.0005817142,0.0004231292,0.00025075034,0.0003201551,0.00037829837,0.00022285896,0.00010484589],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002179304,0.000050815874,0.97658235,0.00004320756,0.00046249654,0.00030055956,0.00017180397,0.0046382607,0.010080811,0.00032716568,0.0010731709,0.006051455],"study_design_scores_gemma":[0.0000026549867,0.000009300503,0.9962025,0.0000033301058,0.000033386677,0.000013004872,0.00006774721,0.002935664,0.00022254889,0.000051915013,0.0004534175,0.000004645825],"about_ca_topic_score_codex":0.20660454,"about_ca_topic_score_gemma":0.24786317,"teacher_disagreement_score":0.79339546,"about_ca_system_score_codex":0.0013134036,"about_ca_system_score_gemma":0.0008130055,"threshold_uncertainty_score":0.4108039},"labels":[],"label_agreement":null},{"id":"W1971423935","doi":"10.5194/bg-10-5335-2013","title":"The use of forest stand age information in an atmospheric CO <sub>2</sub> inversion applied to North America","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Northern Research Station; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Aeronautics and Space Administration; National Science Foundation","keywords":"Eddy covariance; Inversion (geology); Carbon sink; Carbon flux; Atmospheric sciences; Environmental science; Flux (metallurgy); Carbon cycle; Ecosystem; Climatology; Physical geography; Geography; Geology; Ecology; Chemistry; Biology; Paleontology","score_opus":0.009666307571100884,"score_gpt":0.18631779130190881,"score_spread":0.17665148373080794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971423935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98257875,0.00013561524,0.015055239,0.000094438066,0.000023987259,0.0000132919085,0.0003916806,0.00019700857,0.001509936],"genre_scores_gemma":[0.98885506,0.00005244571,0.010575944,0.000024955476,0.000007724132,0.0000059051135,0.00030523134,0.000020904321,0.00015174744],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999212,0.000017513972,0.0000046950727,0.000025767109,0.000012478045,0.000018378694],"domain_scores_gemma":[0.9998018,0.00006125125,0.000028243923,0.00002312755,0.00006765434,0.000017834738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036761462,0.00038749367,0.00020706846,0.00039876884,0.00028215078,0.00045672146,0.00026363842,0.00022444547,0.00044409133],"category_scores_gemma":[0.0010081842,0.00015822033,0.00032239532,0.0005856923,0.00019865377,0.00035391384,0.00023897171,0.00025738898,0.000060004833],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003241136,0.00012552712,0.3825545,0.000085743,0.00029622554,0.00043003805,0.0002695099,0.43840426,0.061531644,0.0016759535,0.0012157889,0.11308662],"study_design_scores_gemma":[0.000035574318,0.000020567873,0.13299736,0.000013283722,0.000058047033,0.000051399857,0.00011829969,0.85915536,0.005501103,0.0006313792,0.0013885329,0.000029138766],"about_ca_topic_score_codex":0.14832425,"about_ca_topic_score_gemma":0.22021963,"teacher_disagreement_score":0.85167575,"about_ca_system_score_codex":0.00049975386,"about_ca_system_score_gemma":0.0014541271,"threshold_uncertainty_score":0.29492182},"labels":[],"label_agreement":null},{"id":"W1971849548","doi":"10.5194/bg-12-323-2015","title":"Atmospheric inversion of surface carbon flux with consideration of the spatial distribution of US crop production and consumption","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministry of Science and Technology of the People's Republic of China; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Environmental science; Sink (geography); Carbon sink; Primary production; Spatial distribution; Atmospheric sciences; Carbon flux; Spatial variability; Biomass (ecology); Ecosystem; Agronomy; Ecology; Geography; Geology; Mathematics; Remote sensing","score_opus":0.011211015414288851,"score_gpt":0.19491497552254824,"score_spread":0.1837039601082594,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971849548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533406,0.00009071627,0.03983468,0.00023135472,0.000032724172,0.000020283624,0.0020147848,0.0005452967,0.003889453],"genre_scores_gemma":[0.98656553,0.000027123277,0.012105562,0.000025986523,0.000008483286,0.000011070814,0.001021396,0.000044041677,0.00019089335],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999169,0.00002076133,0.000005010184,0.000026787588,0.000020927755,0.000009540357],"domain_scores_gemma":[0.99978906,0.00006472938,0.000034233333,0.000039259303,0.00006026029,0.000012460782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036572912,0.0003049184,0.00016276201,0.00029323497,0.00018077143,0.00028443278,0.0003345362,0.00025885671,0.00071818754],"category_scores_gemma":[0.0014808478,0.0002415382,0.00046441396,0.00063024164,0.00020676109,0.00036955246,0.0002686567,0.00035022633,0.00008523508],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011746994,0.000065618544,0.09441374,0.000039077317,0.00017684192,0.000071053495,0.00007387323,0.86173725,0.013600273,0.0028407064,0.0013323445,0.025531704],"study_design_scores_gemma":[0.000050305913,0.0000129707,0.031464472,0.0000044615495,0.000025550627,0.000012496697,0.000019646193,0.9642442,0.0019929826,0.0011815561,0.000977319,0.000014058349],"about_ca_topic_score_codex":0.0991354,"about_ca_topic_score_gemma":0.10148953,"teacher_disagreement_score":0.0991354,"about_ca_system_score_codex":0.0006737011,"about_ca_system_score_gemma":0.0014516439,"threshold_uncertainty_score":0.19711673},"labels":[],"label_agreement":null},{"id":"W1972169618","doi":"10.5194/bg-10-1877-2013","title":"Copepod community growth rates in relation to body size, temperature, and food availability in the East China Sea: a test of metabolic theory of ecology","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Physiological and biochemical adaptations","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Copepod; Zooplankton; Ecology; Biology; Growth rate; Ecosystem; Marine ecosystem; Community structure; China sea; Environmental science; Oceanography; Crustacean; Mathematics","score_opus":0.015245823834773077,"score_gpt":0.22138392971546994,"score_spread":0.20613810588069686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972169618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998288,0.0000146986795,0.00008593167,0.00000620599,9.102075e-7,8.0843125e-7,0.000023768403,0.0000010391913,0.00003779153],"genre_scores_gemma":[0.99979407,0.000012860404,0.0000871148,0.000006298922,0.0000010182371,0.000003046465,0.00006267898,8.5176265e-7,0.000032074466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988544,0.000031943564,0.00001119015,0.000034408542,0.000019950121,0.000017125623],"domain_scores_gemma":[0.9992667,0.00019941854,0.00022250459,0.00008880475,0.00011178645,0.000110812376],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055794045,0.00025858416,0.0001746036,0.00033739978,0.0002028604,0.00022395318,0.00020336239,0.00017201545,0.00036429215],"category_scores_gemma":[0.00080674374,0.00016431481,0.00036326074,0.00025451553,0.00031732116,0.00031130275,0.0003194231,0.00026812268,0.00005119097],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013942299,0.000036510744,0.98623234,0.000019072088,0.000119807555,0.0000578349,0.00011355815,0.0018856179,0.0092067905,0.00006964022,0.000055847933,0.0020636502],"study_design_scores_gemma":[0.0000043445584,0.000018903456,0.9953585,9.4393425e-7,0.000014343572,0.000011617041,0.000040562234,0.0041757966,0.00032952073,0.000024477498,0.000018134586,0.0000027557232],"about_ca_topic_score_codex":0.011434158,"about_ca_topic_score_gemma":0.012443112,"teacher_disagreement_score":0.011434158,"about_ca_system_score_codex":0.00037230673,"about_ca_system_score_gemma":0.00033854393,"threshold_uncertainty_score":0.022735238},"labels":[],"label_agreement":null},{"id":"W1972640610","doi":"10.5194/bg-8-715-2011","title":"Age structure and disturbance legacy of North American forests","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":333,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"U.S. Forest Service; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Disturbance (geology); Forest inventory; Forest ecology; Forest dynamics; Environmental science; Ecosystem; Forest management; Forest restoration; Geography; Ecology; Environmental resource management; Physical geography; Agroforestry","score_opus":0.009030144214676837,"score_gpt":0.20206761348807828,"score_spread":0.19303746927340143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972640610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942907,0.00030635126,0.00034448432,0.000036630612,0.0000039648576,0.0000075709722,0.0031349042,0.000013318755,0.0018620339],"genre_scores_gemma":[0.9970187,0.0002005123,0.00037257335,0.0000127452095,0.0000052682,0.000008990726,0.0019447139,0.0000034799396,0.0004330475],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998945,0.0000156895,0.000009187467,0.000032144264,0.000028787617,0.000019686006],"domain_scores_gemma":[0.99918336,0.000111853056,0.00030452549,0.00006586774,0.0002597085,0.000074707714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023073012,0.00011401775,0.00009802273,0.0012683094,0.00032443,0.00048313977,0.00014750939,0.00008252556,0.0010332862],"category_scores_gemma":[0.0006327276,0.00006978926,0.00010197436,0.0015779751,0.00014778336,0.00028273783,0.00018532327,0.00012718812,0.00010514975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001603013,0.000008111258,0.99080056,0.000010733216,0.000027636026,0.00003086911,0.00017589166,0.0004711915,0.00038439946,0.00008968909,0.00038429885,0.007600607],"study_design_scores_gemma":[2.8584333e-7,0.0000015605913,0.99900347,0.000002370379,0.0000034019256,0.000013670944,0.000079707504,0.00021048695,0.00004073916,0.000025146082,0.00061813573,0.0000011621854],"about_ca_topic_score_codex":0.12169848,"about_ca_topic_score_gemma":0.3499135,"teacher_disagreement_score":0.8783015,"about_ca_system_score_codex":0.00058220734,"about_ca_system_score_gemma":0.00033163602,"threshold_uncertainty_score":0.2419802},"labels":[],"label_agreement":null},{"id":"W1973999518","doi":"10.5194/bg-8-1237-2011","title":"Air-sea CO <sub>2</sub> fluxes on the Bering Sea shelf","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Bureau of Ocean Energy Management; National Oceanic and Atmospheric Administration","keywords":"Oceanography; Sink (geography); Seawater; Environmental science; Phytoplankton; Sea ice; Geology; Nutrient; Geography; Ecology; Biology","score_opus":0.030090699547608932,"score_gpt":0.21559343872839967,"score_spread":0.18550273918079074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973999518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961915,0.00038345312,0.000058704423,0.000042575277,0.00001467738,0.0000019193137,0.0015706044,0.000017936873,0.0017185472],"genre_scores_gemma":[0.9966924,0.0003057931,0.00015095687,0.00003191799,0.000016418036,0.0000054759917,0.0016245226,0.000009260272,0.0011632955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993515,0.00000826463,0.0000057351403,0.000024640189,0.000013705701,0.000012453075],"domain_scores_gemma":[0.9997949,0.000024781275,0.000052368985,0.000011695825,0.000084013656,0.000032313696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001601958,0.00044043848,0.00025953213,0.00048665228,0.0003196677,0.0006468888,0.00013236747,0.00020745797,0.0026535895],"category_scores_gemma":[0.00019600072,0.00013543088,0.00018118162,0.00051177863,0.00015320408,0.0005601339,0.00029847224,0.0002321023,0.0005425417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059449836,0.000037573667,0.9482159,0.0001381016,0.00020259008,0.0003330797,0.00026394695,0.0018799622,0.026143914,0.00015739648,0.0017717645,0.020261295],"study_design_scores_gemma":[0.0000016681114,0.000013057201,0.99833655,0.000005263811,0.000011165667,0.00001298774,0.000046107758,0.00047150854,0.00044058263,0.000018268549,0.00064076675,0.0000021148467],"about_ca_topic_score_codex":0.03437497,"about_ca_topic_score_gemma":0.04253973,"teacher_disagreement_score":0.03437497,"about_ca_system_score_codex":0.00089868315,"about_ca_system_score_gemma":0.00021614757,"threshold_uncertainty_score":0.06834978},"labels":[],"label_agreement":null},{"id":"W1979265800","doi":"10.5194/bg-10-917-2013","title":"Estimating absorption coefficients of colored dissolved organic matter (CDOM) using a semi-analytical algorithm for southern Beaufort Sea waters: application to deriving concentrations of dissolved organic carbon from space","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"JST-Mirai Program; Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration; Agence Nationale de la Recherche; National Science Foundation","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Ocean color; Spectral slope; Environmental science; Absorption (acoustics); Seawater; Arctic; Oceanography; Geology; Chemistry; Satellite; Phytoplankton; Spectral line; Physics; Nutrient","score_opus":0.01216806994282931,"score_gpt":0.22061096634730326,"score_spread":0.20844289640447394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979265800","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24650505,0.00034004054,0.7497099,0.000062292806,0.000026414193,0.00011897893,0.00022886551,0.002040181,0.0009682577],"genre_scores_gemma":[0.37577,0.0001345235,0.622277,0.000049433245,0.000010010289,0.0001189523,0.00042027692,0.00006781836,0.0011519268],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961746,0.000071188195,0.000028291764,0.00011390246,0.00014095358,0.000028230936],"domain_scores_gemma":[0.9993525,0.00017534563,0.00011686899,0.000057261088,0.00027306433,0.000024970017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007644297,0.00072462443,0.00037354341,0.0011990572,0.00044754468,0.00068050437,0.00076693384,0.000600839,0.00039036523],"category_scores_gemma":[0.0014621685,0.000309502,0.00067093247,0.0007904563,0.00026440292,0.000428885,0.00043628179,0.00037017462,0.00037375288],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024124992,0.00020130537,0.043849304,0.0002283886,0.00023227453,0.00042870306,0.0004022295,0.16334134,0.26707822,0.00087003206,0.0011560135,0.52197105],"study_design_scores_gemma":[0.000014824308,0.000055639124,0.014852242,0.000006149214,0.000030337254,0.00011678427,0.0000433918,0.95067006,0.03275363,0.0002454815,0.0011789352,0.000032509928],"about_ca_topic_score_codex":0.016862115,"about_ca_topic_score_gemma":0.017412461,"teacher_disagreement_score":0.016862115,"about_ca_system_score_codex":0.0006125181,"about_ca_system_score_gemma":0.0010752995,"threshold_uncertainty_score":0.03352797},"labels":[],"label_agreement":null},{"id":"W1983599614","doi":"10.5194/bg-9-1957-2012","title":"Oxygen exchange and ice melt measured at the ice-water interface by eddy correlation","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Environment Research Council; Canada Excellence Research Chairs, Government of Canada; Forsknings- og Innovationsstyrelsen; Sight Research UK; Danish Agency for Science and Higher Education; Deutsches Krebsforschungszentrum; National Science Foundation","keywords":"Ice water; Oxygen; Interface (matter); Melt pond; Environmental science; Geology; Atmospheric sciences; Materials science; Sea ice; Oceanography; Chemistry; Cryosphere; Sea ice thickness; Composite material","score_opus":0.016533610600380482,"score_gpt":0.212589827516454,"score_spread":0.19605621691607353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983599614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99881566,0.00005658618,0.0007903685,0.0000039015504,0.000002055214,0.0000028217396,0.000097363016,0.000009760887,0.00022144332],"genre_scores_gemma":[0.99884206,0.00004038508,0.00080470386,0.000005749346,0.0000032871733,0.000004701627,0.00018176745,0.000005555584,0.00011173298],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999925,0.00000984374,0.0000049918103,0.000022439584,0.000024714447,0.000012987878],"domain_scores_gemma":[0.99984455,0.000041392763,0.00004874711,0.0000067039077,0.000042240976,0.00001639599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022915665,0.00019361317,0.00022710094,0.0003790899,0.00022198987,0.0004123185,0.00015124904,0.00015589819,0.00022721985],"category_scores_gemma":[0.00036600517,0.00014201496,0.00012444529,0.00045606215,0.00011421568,0.00046079673,0.00023118088,0.00019079624,0.00006203511],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066597335,0.00012555093,0.458026,0.00008156723,0.0001118853,0.00012478649,0.00037910565,0.0015924044,0.5222091,0.0001769994,0.00015109076,0.016355546],"study_design_scores_gemma":[0.000015400736,0.00014909811,0.94808525,0.000009367746,0.00003907317,0.000055155833,0.00013500423,0.016231328,0.034776136,0.00005069229,0.00044043592,0.000013053206],"about_ca_topic_score_codex":0.0054536285,"about_ca_topic_score_gemma":0.00861679,"teacher_disagreement_score":0.0054536285,"about_ca_system_score_codex":0.00028610026,"about_ca_system_score_gemma":0.00018261684,"threshold_uncertainty_score":0.010843754},"labels":[],"label_agreement":null},{"id":"W1983970710","doi":"10.5194/bg-11-5007-2014","title":"Insights into oxygen transport and net community production in sea ice from oxygen, nitrogen and argon concentrations","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Fonds De La Recherche Scientifique - FNRS; ArcticNet; National Science Foundation","keywords":"Nitrogen; Argon; Oxygen; Saturation (graph theory); Sea ice; Environmental science; New production; Chemistry; Bubble; Atmospheric sciences; Oceanography; Geology; Nutrient; Physics","score_opus":0.012588540841738204,"score_gpt":0.20375499497210778,"score_spread":0.19116645413036956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983970710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99842286,0.00025869565,0.00045724507,0.000029090968,0.000003742976,0.000002674219,0.00024191308,0.000005098634,0.00057878834],"genre_scores_gemma":[0.9988889,0.00015847315,0.00051153585,0.00001109416,0.0000047525464,0.0000035984503,0.00023024854,0.0000034853767,0.00018792877],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989617,0.00002659318,0.000007560185,0.00003252093,0.000024784234,0.00001246112],"domain_scores_gemma":[0.99975353,0.000092185335,0.000055776465,0.0000125944325,0.000060077917,0.000025791724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037136348,0.0003224752,0.00024311298,0.0006195829,0.00027688473,0.00045589724,0.00018762417,0.00019290668,0.00057036214],"category_scores_gemma":[0.0005500603,0.0002014881,0.0002019836,0.00043669099,0.00025225765,0.00064031786,0.00033235576,0.00020862355,0.000097068834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021880357,0.000029529523,0.9123589,0.000086109125,0.00010566502,0.00009799444,0.00036777314,0.0027690441,0.0757054,0.00016823306,0.000086598135,0.008006063],"study_design_scores_gemma":[0.0000026926834,0.00003737318,0.9902271,0.000010912933,0.000021453832,0.000039572846,0.00037033128,0.0051443754,0.0035786717,0.00013879716,0.00042258608,0.000006146474],"about_ca_topic_score_codex":0.01686594,"about_ca_topic_score_gemma":0.031746797,"teacher_disagreement_score":0.01686594,"about_ca_system_score_codex":0.00041117298,"about_ca_system_score_gemma":0.00028799704,"threshold_uncertainty_score":0.03353554},"labels":[],"label_agreement":null},{"id":"W1984100365","doi":"10.5194/bg-10-4493-2013","title":"Apparent optical properties of the Canadian Beaufort Sea – Part 1: Observational overview and water column relationships","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency","keywords":"Colored dissolved organic matter; Ocean color; Arctic; Water column; Environmental science; Canada Basin; Oceanography; Water mass; Seawater; Spectral slope; Attenuation; Beaufort sea; Dissolved organic carbon; Irradiance; Satellite; Attenuation coefficient; Sea ice; Chlorophyll a; Remote sensing; Atmospheric sciences; Geology; Phytoplankton; Spectral line; Chemistry; Physics","score_opus":0.09110036194522439,"score_gpt":0.20128958654439355,"score_spread":0.11018922459916916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984100365","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9283425,0.0047022398,0.0015036659,0.0004391576,0.000032149484,0.00009533948,0.052101918,0.00021325551,0.012569693],"genre_scores_gemma":[0.96600556,0.0013397728,0.0026300189,0.00014343244,0.000019864392,0.00004661755,0.027893888,0.00004116072,0.0018796643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99931085,0.0000305387,0.000025873356,0.00014299563,0.0003673376,0.00012234133],"domain_scores_gemma":[0.99818987,0.000079250276,0.0002327732,0.000120369295,0.00118934,0.00018839406],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006532983,0.00083165773,0.0003739047,0.0028936656,0.0018767009,0.0012283763,0.0010752457,0.00034665194,0.0012494297],"category_scores_gemma":[0.000967969,0.00029594725,0.0006078065,0.007036943,0.00064954587,0.0005185713,0.0006186226,0.0003993617,0.00030936807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010189697,0.00005687263,0.949261,0.00020378898,0.00036165462,0.00017498802,0.00067837216,0.002880269,0.0029656384,0.0004288274,0.009645572,0.033241034],"study_design_scores_gemma":[0.0000031786171,0.0000074996406,0.991206,0.000020958378,0.000026651927,0.00003281136,0.0001990162,0.0008789753,0.00032306596,0.000022215681,0.007258376,0.000021204274],"about_ca_topic_score_codex":0.99302703,"about_ca_topic_score_gemma":0.99610955,"teacher_disagreement_score":0.014427212,"about_ca_system_score_codex":0.014427212,"about_ca_system_score_gemma":0.011425037,"threshold_uncertainty_score":0.10467726},"labels":[],"label_agreement":null},{"id":"W1985785318","doi":"10.5194/bg-10-5651-2013","title":"Comparing soil biogeochemical processes in novel and natural boreal forest ecosystems","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biogeochemical cycle; Environmental science; Ecosystem; Land reclamation; Soil organic matter; Soil water; Organic matter; Ecology; Boreal; Soil science; Biology","score_opus":0.019432480333031524,"score_gpt":0.21270316918507953,"score_spread":0.193270688852048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985785318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995852,0.00007459983,0.0001350236,0.0000027886224,5.7114113e-7,0.0000030181081,0.000040963736,0.0000024722628,0.00015524708],"genre_scores_gemma":[0.9993124,0.00007136663,0.00041934935,0.0000039278757,8.3143647e-7,0.0000024813944,0.000130679,0.0000010353702,0.00005791545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988055,0.000020820693,0.0000069265793,0.000034587316,0.000030958134,0.000026064788],"domain_scores_gemma":[0.9998275,0.000021870153,0.000066047,0.000013137538,0.00003975965,0.00003163824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002605998,0.00020548813,0.00013252623,0.00045751495,0.00038750566,0.00051323685,0.00025251394,0.00012630248,0.00021163884],"category_scores_gemma":[0.00021256061,0.000078425925,0.00010701984,0.00041825665,0.0005529032,0.00027568964,0.00026056377,0.000107958615,0.000024775727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055204536,0.00013944082,0.7661977,0.00015167457,0.0001642958,0.0003506933,0.0007093721,0.0021949604,0.2157993,0.00025501242,0.000052000632,0.013433613],"study_design_scores_gemma":[0.0000030204264,0.00005839772,0.99610436,0.0000026730263,0.000012642275,0.00007890654,0.00031086383,0.0005556339,0.002618555,0.00003143808,0.00022021904,0.0000032270666],"about_ca_topic_score_codex":0.040579233,"about_ca_topic_score_gemma":0.18801245,"teacher_disagreement_score":0.040579233,"about_ca_system_score_codex":0.0010495286,"about_ca_system_score_gemma":0.0006495366,"threshold_uncertainty_score":0.08068609},"labels":[],"label_agreement":null},{"id":"W1987665126","doi":"10.5194/bg-5-1739-2008","title":"Corrigendum to &amp;quot;Peatlands and the carbon cycle: from local processes to global implications a synthesis&amp;quot; published in Biogeosciences, 5, 1475–1491, 2008","year":2008,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Peat; Carbon cycle; Carbon fibers; Chemistry; Ecology; Mathematics; Biology; Ecosystem","score_opus":0.01813027394231022,"score_gpt":0.24419544797980156,"score_spread":0.22606517403749132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987665126","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014610273,0.0063468493,0.0016205941,0.031922013,0.9404306,0.000048044167,0.0010590841,0.00032014374,0.018106561],"genre_scores_gemma":[0.0060145054,0.022131147,0.0046498375,0.053558074,0.2471974,0.00020710663,0.003125857,0.0014575524,0.6616585],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990339,0.00012728189,0.00015125495,0.00017181295,0.00045204817,0.00006369368],"domain_scores_gemma":[0.99388945,0.0009899988,0.00025343618,0.00033616874,0.0042434526,0.00028742306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010100689,0.0014727735,0.0015749802,0.0022534034,0.0015820331,0.00239402,0.001443507,0.0019794877,0.116978295],"category_scores_gemma":[0.012020119,0.00062941713,0.0009652909,0.002184126,0.0010912629,0.0016644718,0.000989881,0.0031304623,0.068667546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019884375,0.0000060180937,0.000032601463,0.00019420097,0.000005482485,0.00005208398,0.000010737584,0.00006853417,0.000081233964,0.00093908294,0.98427737,0.014312698],"study_design_scores_gemma":[0.000012881795,0.000020254565,0.00072269974,0.0001608873,0.000011448436,0.00010631546,0.000027882346,0.000148127,0.00019211043,0.0013810149,0.9972017,0.000014727138],"about_ca_topic_score_codex":0.014386967,"about_ca_topic_score_gemma":0.019331304,"teacher_disagreement_score":0.116978295,"about_ca_system_score_codex":0.0021335687,"about_ca_system_score_gemma":0.001155614,"threshold_uncertainty_score":0.39133137},"labels":[],"label_agreement":null},{"id":"W1987823356","doi":"10.5194/bg-9-4835-2012","title":"Phytoplankton distribution in unusually low sea ice cover over the Pacific Arctic","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"State Oceanic Administration; National Natural Science Foundation of China; Centre National de la Recherche Scientifique; European Commission","keywords":"Oceanography; Phytoplankton; Sea ice; Arctic ice pack; Arctic; Canada Basin; Melt pond; Geology; Environmental science; Structural basin; Antarctic sea ice; Ecology; Nutrient; Biology; Paleontology","score_opus":0.009840140106262841,"score_gpt":0.21069093375426248,"score_spread":0.20085079364799965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987823356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996619,0.000042648895,0.000009181678,0.0000028283514,5.19627e-7,6.01135e-7,0.00009860151,6.507739e-7,0.00018312517],"genre_scores_gemma":[0.9995585,0.00004766473,0.000026829879,0.000003936385,0.0000012457547,0.0000015287662,0.00021624603,6.503753e-7,0.0001434755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999944,0.0000056166887,0.0000041482067,0.000015839947,0.000011024307,0.000019374591],"domain_scores_gemma":[0.999808,0.000021501408,0.000051233135,0.0000056760687,0.000058171077,0.00005537383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015096807,0.00013969107,0.00013934451,0.00082222925,0.00052614574,0.00035699733,0.00009979395,0.00011408398,0.0005525305],"category_scores_gemma":[0.00021760064,0.00011057975,0.000087676235,0.0005816932,0.00021653951,0.00011627671,0.00021016544,0.00010050293,0.0001007407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017011205,0.000013330052,0.98696613,0.000016940061,0.000021990663,0.00010883973,0.00033668973,0.00011431811,0.0100116655,0.000017138223,0.00008477619,0.0021380135],"study_design_scores_gemma":[5.805885e-7,0.0000091056245,0.9996575,0.0000011377555,0.0000027582712,0.000026722115,0.0001343805,0.000030632993,0.000083670304,0.0000015959782,0.0000512372,6.2116493e-7],"about_ca_topic_score_codex":0.07539105,"about_ca_topic_score_gemma":0.15546589,"teacher_disagreement_score":0.07539105,"about_ca_system_score_codex":0.0005920347,"about_ca_system_score_gemma":0.00030194828,"threshold_uncertainty_score":0.14990443},"labels":[],"label_agreement":null},{"id":"W1988111767","doi":"10.5194/bg-7-1625-2010","title":"A regional high-resolution carbon flux inversion of North America for 2004","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Biological and Environmental Research; National Oceanic and Atmospheric Administration; U.S. Department of Energy","keywords":"Biome; Inversion (geology); Biosphere; Environmental science; Carbon cycle; Grid; Carbon flux; Climatology; Atmospheric sciences; Meteorology; Ecosystem; Geology; Geography; Geodesy; Ecology","score_opus":0.007789468571354023,"score_gpt":0.1949712582057987,"score_spread":0.18718178963444468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988111767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96931756,0.00010598086,0.00816652,0.00022294202,0.0000332977,0.000030005893,0.013424722,0.0013734465,0.0073254947],"genre_scores_gemma":[0.9709014,0.000037791484,0.015302225,0.000049794784,0.000010508958,0.000020005855,0.0124425255,0.000113418304,0.0011222386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993825,0.000008188054,0.0000029550486,0.00002642872,0.0000137193565,0.000010468178],"domain_scores_gemma":[0.99985266,0.000013676903,0.000021398286,0.000025023264,0.000071514456,0.000015660158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022079657,0.0002576247,0.00021138895,0.00040902258,0.00027810837,0.00033385435,0.00034640712,0.00027173018,0.0016756544],"category_scores_gemma":[0.00048137686,0.00016953405,0.0002974586,0.0008523543,0.000115673996,0.0003476905,0.0001634474,0.00030590722,0.00029818807],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061271177,0.0005313418,0.34356803,0.00012259306,0.00067343295,0.00062441867,0.0005207481,0.4440502,0.048222385,0.004156849,0.035126083,0.12179126],"study_design_scores_gemma":[0.0001764625,0.000053418924,0.3236524,0.000021153472,0.00009984158,0.00010634508,0.00022735944,0.6496879,0.008944016,0.0015407791,0.015436833,0.000053534182],"about_ca_topic_score_codex":0.13729703,"about_ca_topic_score_gemma":0.2421955,"teacher_disagreement_score":0.13729703,"about_ca_system_score_codex":0.000709229,"about_ca_system_score_gemma":0.001215344,"threshold_uncertainty_score":0.27299577},"labels":[],"label_agreement":null},{"id":"W1988945708","doi":"10.5194/bg-10-3445-2013","title":"Photosynthetic parameters in the Beaufort Sea in relation to the phytoplankton community structure","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Photosynthesis; Phytoplankton; Environmental science; Trophic level; Irradiance; Chlorophyll a; Biomass (ecology); Community structure; Atmospheric sciences; Oceanography; Ecology; Biology; Geology; Physics; Nutrient; Botany","score_opus":0.01652882014248985,"score_gpt":0.20472406316962363,"score_spread":0.18819524302713378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988945708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987489,0.000065914304,0.00027899267,0.000017156393,0.0000018674425,0.0000011624799,0.00036291196,0.000025810343,0.000497278],"genre_scores_gemma":[0.9990707,0.000016319942,0.00029453728,0.000004896197,0.0000015091484,0.0000013009872,0.00049924734,0.0000056670383,0.00010573492],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998629,0.000024249024,0.000005859685,0.000042476175,0.000034341057,0.000030121812],"domain_scores_gemma":[0.99946946,0.00015344273,0.0001242245,0.000054368295,0.00012796359,0.00007051996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003781154,0.00030809917,0.00019958674,0.0006483297,0.00042354243,0.0004888959,0.00023876947,0.00024124795,0.00042679172],"category_scores_gemma":[0.0007699607,0.00015652424,0.00032073463,0.0006924503,0.00030025118,0.0003279174,0.00023452123,0.0002005172,0.00013257893],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035591534,0.000044370376,0.8706442,0.000044716417,0.00026301807,0.00033637043,0.0004846518,0.08483861,0.027897608,0.00048506056,0.0010398757,0.01356557],"study_design_scores_gemma":[0.0000034715695,0.000019275052,0.9736172,0.0000023910386,0.0000075092244,0.000040572926,0.0000716513,0.024900647,0.0009036078,0.00008583966,0.00033680224,0.000011005366],"about_ca_topic_score_codex":0.14274874,"about_ca_topic_score_gemma":0.119293116,"teacher_disagreement_score":0.14274874,"about_ca_system_score_codex":0.0011162366,"about_ca_system_score_gemma":0.00041443974,"threshold_uncertainty_score":0.2838357},"labels":[],"label_agreement":null},{"id":"W1989445615","doi":"10.5194/bg-12-2347-2015","title":"Glacial meltwater and primary production are drivers of strong CO <sub>2</sub> uptake in fjord and coastal waters adjacent to the Greenland Ice Sheet","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Comisión de Investigaciones Científicas; Vlaamse regering; Fonds Wetenschappelijk Onderzoek; Kommissionen for Videnskabelige Undersøgelser i Grønland; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; ArcticNet","keywords":"Fjord; Meltwater; Greenland ice sheet; Glacial period; Geology; Oceanography; Glacier; Ice sheet; Geomorphology","score_opus":0.026937417853583022,"score_gpt":0.2123378075077288,"score_spread":0.18540038965414576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989445615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996717,0.000033572345,0.000011800387,0.000016951413,0.0000013762508,7.7166374e-7,0.00009261882,0.0000024108479,0.00016878784],"genre_scores_gemma":[0.99966943,0.000020845913,0.000021137572,0.000009970295,0.000002072135,9.825043e-7,0.00016004784,0.000001519863,0.000114095936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999175,0.000009334838,0.000008394295,0.000023031742,0.00001000449,0.000031749118],"domain_scores_gemma":[0.9997019,0.00004445085,0.000115410265,0.000014380083,0.000038112492,0.00008569384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001880671,0.00021346542,0.00022555824,0.0005665009,0.00041612086,0.0008380178,0.00022958529,0.00027012068,0.0009984571],"category_scores_gemma":[0.0004225685,0.00017752037,0.00028149493,0.00049703155,0.00037688375,0.00027201712,0.0004677597,0.00015124558,0.00013355927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005796425,0.000013680927,0.99350464,0.000011258712,0.000051239254,0.00012888772,0.00018393545,0.00024373509,0.0040103793,0.000040956817,0.00013456313,0.0016187835],"study_design_scores_gemma":[7.414278e-7,0.0000035845742,0.99952424,0.0000015811515,0.00000552023,0.0000082335,0.00011100003,0.00022876408,0.000050370934,0.000007510556,0.00005748428,0.0000010193379],"about_ca_topic_score_codex":0.119549856,"about_ca_topic_score_gemma":0.2371173,"teacher_disagreement_score":0.119549856,"about_ca_system_score_codex":0.0008199547,"about_ca_system_score_gemma":0.00067918433,"threshold_uncertainty_score":0.23770803},"labels":[],"label_agreement":null},{"id":"W1989679779","doi":"10.5194/bg-10-53-2013","title":"Sediment-water column fluxes of carbon, oxygen and nutrients in Bedford Basin, Nova Scotia, inferred from <sup>224</sup> Ra measurements","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Water column; Benthic zone; Biogeochemistry; Bottom water; Sediment; Oceanography; Dissolved organic carbon; Organic matter; Environmental science; Sediment–water interface; Hydrology (agriculture); Chemistry; Geology; Geomorphology","score_opus":0.020422853827030883,"score_gpt":0.19830021913660398,"score_spread":0.1778773653095731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989679779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805415,0.000097434844,0.000092650975,0.000040849067,0.0000027591468,0.000011917008,0.0008928305,0.00001567911,0.00079181156],"genre_scores_gemma":[0.99868053,0.000071983915,0.00027790372,0.000020246278,0.0000011021361,0.000007960735,0.00039671455,0.00000386536,0.00053966325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999211,0.000007112508,0.0000073034716,0.00002438085,0.000018016306,0.00002216333],"domain_scores_gemma":[0.9998165,0.00003293719,0.00003164785,0.000009280815,0.000069747846,0.000039934126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014958401,0.00029376944,0.00017067137,0.00046874094,0.00066265126,0.00071619556,0.0005321281,0.00032029644,0.0009850909],"category_scores_gemma":[0.0005146548,0.00031542848,0.00022422559,0.0005336992,0.00048072162,0.0001885589,0.00030353575,0.00019329242,0.00018505292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039784124,0.000059785354,0.93989414,0.00021222106,0.00015682215,0.0009463912,0.0008431244,0.026227761,0.020462135,0.00040305385,0.0012952354,0.009101498],"study_design_scores_gemma":[0.000038383736,0.00001888873,0.9797044,0.000026031024,0.000028055721,0.000052427684,0.00047522012,0.017812269,0.0008993182,0.00004914043,0.00088263396,0.0000133838885],"about_ca_topic_score_codex":0.97460777,"about_ca_topic_score_gemma":0.9820758,"teacher_disagreement_score":0.025392234,"about_ca_system_score_codex":0.009146357,"about_ca_system_score_gemma":0.0045974674,"threshold_uncertainty_score":0.066361845},"labels":[],"label_agreement":null},{"id":"W1991521911","doi":"10.5194/bg-9-4661-2012","title":"Activity and abundance of denitrifying bacteria in the subsurface biosphere of diffuse hydrothermal vents of the Juan de Fuca Ridge","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Max-Planck-Gesellschaft; Joint Institute for the Study of the Atmosphere and Ocean; University of Washington; Canadian Institute for Advanced Research; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Hydrothermal vent; Denitrification; Anammox; Anoxic waters; Chemocline; Denitrifying bacteria; Environmental chemistry; Nitrate; Oxygen minimum zone; Biology; Hydrothermal circulation; Ecology; Chemistry; Nitrogen; Paleontology","score_opus":0.015516146985138818,"score_gpt":0.22810882131786692,"score_spread":0.2125926743327281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991521911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995208,0.00009305083,0.000035220335,0.000003428947,8.785142e-7,0.0000017492532,0.00013603193,0.0000019759952,0.0002070022],"genre_scores_gemma":[0.9993469,0.000064786575,0.00012974831,0.0000036217468,0.0000023921716,0.000004602245,0.0002490568,0.0000010356093,0.0001977769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987185,0.000008726671,0.0000076016513,0.000057049423,0.000023135455,0.000031568903],"domain_scores_gemma":[0.9998548,0.000015000028,0.000049859293,0.0000059480103,0.000035242894,0.000039081635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001708661,0.0004907224,0.00032029857,0.0006657626,0.0003339696,0.00051441154,0.0001611438,0.00027937628,0.000371455],"category_scores_gemma":[0.0002027643,0.00019434172,0.00025506745,0.0003923867,0.00029471875,0.00017023318,0.00036082198,0.00014277779,0.00007921204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023032067,0.000026586447,0.8842928,0.00007330289,0.00006609586,0.00013133517,0.0006817944,0.0002963384,0.1087829,0.000032287844,0.000027541795,0.0053587155],"study_design_scores_gemma":[0.0000027466642,0.000041046325,0.9978669,0.000004474487,0.0000096022995,0.00005987677,0.00029160397,0.00024292684,0.001304531,0.000007033572,0.00016607727,0.0000033025412],"about_ca_topic_score_codex":0.016722579,"about_ca_topic_score_gemma":0.01715347,"teacher_disagreement_score":0.016722579,"about_ca_system_score_codex":0.00041436724,"about_ca_system_score_gemma":0.00030216455,"threshold_uncertainty_score":0.03325051},"labels":[],"label_agreement":null},{"id":"W1991864041","doi":"10.5194/bg-10-7971-2013","title":"Shifting environmental controls on CH <sub>4</sub> fluxes in a sub-boreal peatland","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Thompson Rivers University","funders":"Office of Science; Natural Sciences and Engineering Research Council of Canada; U.S. Fish and Wildlife Service; Michigan Technological University; U.S. Department of Energy","keywords":"Eddy covariance; Peat; Flux (metallurgy); Animal science; Atmosphere (unit); Abiotic component; Atmospheric sciences; Boreal; Environmental science; Chemistry; Ecosystem; Ecology; Biology; Physics; Meteorology","score_opus":0.007231563905945645,"score_gpt":0.1992305294888076,"score_spread":0.19199896558286195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991864041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998198,0.0000108226495,0.00003108411,0.000005671536,4.8163895e-7,9.1290644e-7,0.000031266598,0.000002058077,0.000097971206],"genre_scores_gemma":[0.99978036,0.000010987974,0.00007698826,0.000005945225,0.0000011338601,0.0000020063171,0.000059339272,0.0000013493909,0.00006180037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999089,0.000023537958,0.0000071372356,0.00002811566,0.00001165229,0.000020570995],"domain_scores_gemma":[0.9997235,0.00005109526,0.00009929844,0.000015203648,0.000053704374,0.000057153076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002641016,0.00017936886,0.00020306205,0.00025002295,0.00035633025,0.00047845184,0.00014385587,0.00014914492,0.00044818188],"category_scores_gemma":[0.00031512429,0.00011947023,0.00013475407,0.00015171501,0.0003294057,0.00027635833,0.0002932442,0.00013817566,0.000059925234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003343511,0.00006843178,0.8832934,0.000025708388,0.000079874415,0.00024342847,0.00030721704,0.00088035327,0.10947608,0.00011053565,0.00009681983,0.0050838087],"study_design_scores_gemma":[0.0000012942065,0.00001712858,0.9983808,0.0000011843937,0.0000046829336,0.000023245264,0.00010289091,0.0005668228,0.00078983756,0.000017982293,0.000091438575,0.0000026321213],"about_ca_topic_score_codex":0.020705633,"about_ca_topic_score_gemma":0.06537285,"teacher_disagreement_score":0.020705633,"about_ca_system_score_codex":0.00062448694,"about_ca_system_score_gemma":0.00030982145,"threshold_uncertainty_score":0.04117024},"labels":[],"label_agreement":null},{"id":"W1992515216","doi":"10.5194/bg-12-3321-2015","title":"WETCHIMP-WSL: intercomparison of wetland methane emissions models over West Siberia","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Observatoire de Paris, Université de Recherche Paris Sciences et Lettres; University of California, Los Angeles; Goddard Space Flight Center; Natural Environment Research Council; Tomsk State University; Institut National de la Recherche Agronomique; Sight Research UK; University of Bristol; Bundesministerium für Bildung und Forschung; University of Edinburgh; U.S. Department of Energy; European Commission; National Science Foundation; University of Washington; Montana State University; Russian Foundation for Basic Research; Ministry of Environment; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Wetland; Environmental science; Greenhouse gas; Permafrost; Climate change; Coupled model intercomparison project; Methane; Latitude; Atmospheric methane; Atmospheric sciences; Global warming; Hydrology (agriculture); Climatology; Climate model; Ecology; Geography; Geology","score_opus":0.03980611413951696,"score_gpt":0.2776890357418185,"score_spread":0.23788292160230157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992515216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99502337,0.000056086592,0.000889907,0.00016382035,0.00002540298,0.00002518871,0.002262647,0.00043079432,0.0011227626],"genre_scores_gemma":[0.9922793,0.000028463995,0.0033139484,0.00006357651,0.00001439234,0.00006884797,0.0036865305,0.00006946078,0.00047549178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974555,0.00011421556,0.000017793218,0.00005068976,0.000032185544,0.000039578554],"domain_scores_gemma":[0.99943024,0.00018810827,0.000060412694,0.000101254365,0.00011662956,0.00010330609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015405326,0.0010257136,0.00084931246,0.00047642188,0.0009079117,0.0008164828,0.0012587071,0.0010027809,0.0018539645],"category_scores_gemma":[0.0014487223,0.00047576812,0.0011719051,0.00066795206,0.0004460115,0.0007523714,0.0007159458,0.0008033235,0.00031662852],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00083434844,0.0006215021,0.087117575,0.00011050669,0.0007957287,0.0003773633,0.00019847887,0.8869241,0.005303712,0.00039361758,0.0031283668,0.014194754],"study_design_scores_gemma":[0.00033191493,0.0001362584,0.045736413,0.000010068834,0.000084082734,0.000024128596,0.000086311295,0.95089066,0.0018287487,0.00022801847,0.00060898816,0.000034441367],"about_ca_topic_score_codex":0.12891787,"about_ca_topic_score_gemma":0.09469732,"teacher_disagreement_score":0.12891787,"about_ca_system_score_codex":0.0016388024,"about_ca_system_score_gemma":0.0020332935,"threshold_uncertainty_score":0.25633496},"labels":[],"label_agreement":null},{"id":"W1992582989","doi":"10.5194/bg-8-2935-2011","title":"Seasonal and interannual variability of physical and biological dynamics at the shelfbreak front of the Middle Atlantic Bight: nutrient supply mechanisms","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research; Oregon State University; National Aeronautics and Space Administration","keywords":"Oceanography; Environmental science; Advection; Water column; Phytoplankton; Spring bloom; Mixed layer; Nutrient; Water mass; Sink (geography); Front (military); Climatology; Geology; Ecology; Geography","score_opus":0.01574389216765169,"score_gpt":0.18182821528904008,"score_spread":0.1660843231213884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1992582989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995208,0.000013289259,0.00015299527,0.000024624527,0.0000025160818,0.0000019413387,0.00010769871,0.000010405683,0.00016578032],"genre_scores_gemma":[0.9996214,0.000009963809,0.000090714464,0.000006225032,0.0000015163484,0.0000022146262,0.00015944801,0.0000018312088,0.00010666353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999547,0.000009900315,0.000003669886,0.000011392486,0.000007694279,0.00001255384],"domain_scores_gemma":[0.9998497,0.000045420642,0.000027730814,0.00001574918,0.000022389286,0.00003900053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022490667,0.00022719971,0.00016987337,0.00020159667,0.00029383134,0.00053281506,0.00029838487,0.00041427228,0.0007415677],"category_scores_gemma":[0.0004648015,0.0001893148,0.00035353683,0.00015691621,0.00022434277,0.00034304152,0.00029202108,0.0002577099,0.00006455089],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042247493,0.00033006186,0.66826516,0.000046765028,0.0002604187,0.0003557124,0.00020792634,0.29554838,0.025063448,0.0008700921,0.0008102526,0.007819403],"study_design_scores_gemma":[0.00005856633,0.00009547329,0.38167235,0.000008313224,0.00004638035,0.00003754989,0.00008673679,0.6160412,0.0014448086,0.00023660128,0.00025654625,0.000015447935],"about_ca_topic_score_codex":0.026795264,"about_ca_topic_score_gemma":0.028082935,"teacher_disagreement_score":0.026795264,"about_ca_system_score_codex":0.00071938866,"about_ca_system_score_gemma":0.00029045893,"threshold_uncertainty_score":0.053278625},"labels":[],"label_agreement":null},{"id":"W1993653242","doi":"10.5194/bg-11-217-2014","title":"Evaluating terrestrial CO <sub>2</sub> flux diagnoses and uncertainties from a simple land surface model and its residuals","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration; Natural Resources Canada; Université Laval; Microsoft Research; Office of Science; U.S. Department of Energy; National Science Foundation","keywords":"FluxNet; Eddy covariance; Environmental science; Atmospheric sciences; Flux (metallurgy); Ecosystem respiration; Terrestrial ecosystem; Primary production; Ecosystem; Range (aeronautics); Ecosystem model; Carbon cycle; Biometeorology; Atmosphere (unit); Precipitation; Climatology; Ecology; Meteorology; Canopy; Chemistry; Geography; Physics; Geology","score_opus":0.025497883316966882,"score_gpt":0.26572822171914756,"score_spread":0.24023033840218067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993653242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866002,0.000050053226,0.012129823,0.000057584653,0.000004861131,0.000011299688,0.00020768539,0.0001864087,0.0007521213],"genre_scores_gemma":[0.99660397,0.000011076184,0.002971409,0.000009423824,0.0000018999766,0.0000060403418,0.00025688426,0.000018942712,0.00012030821],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999728,0.00010922004,0.000014859627,0.00006415354,0.00006176303,0.000021954362],"domain_scores_gemma":[0.9986808,0.0008419568,0.00015603966,0.00009981492,0.00018087149,0.000040545838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012994566,0.0006906942,0.0003363246,0.00034892315,0.00024799307,0.00053598895,0.00034783673,0.00046144772,0.0004231875],"category_scores_gemma":[0.0032372924,0.00029539305,0.0004189506,0.00029128007,0.00024797273,0.00044574353,0.00027551016,0.0003571943,0.00009517855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007249158,0.00004542598,0.039106812,0.000016828031,0.00008044813,0.000034251545,0.000012221807,0.9524952,0.0019403083,0.0001940127,0.000124397,0.005877645],"study_design_scores_gemma":[0.000006231705,0.000018049894,0.009885346,0.000001735665,0.000008393451,0.0000060742295,0.0000065467902,0.9886742,0.0012592196,0.00007285918,0.00005659244,0.0000046975983],"about_ca_topic_score_codex":0.048162375,"about_ca_topic_score_gemma":0.037090078,"teacher_disagreement_score":0.048162375,"about_ca_system_score_codex":0.00092438556,"about_ca_system_score_gemma":0.0006474723,"threshold_uncertainty_score":0.09576404},"labels":[],"label_agreement":null},{"id":"W1994453594","doi":"10.5194/bg-6-2355-2009","title":"The consumption of atmospheric methane by soil in a simulated future climate","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Environmental science; Atmospheric sciences; Temperate climate; Tundra; Water content; Methane; Sink (geography); Latitude; Subtropics; Atmospheric methane; Snow; Ecosystem; Ecology; Geography; Meteorology","score_opus":0.00523018486206232,"score_gpt":0.21531582795918805,"score_spread":0.21008564309712574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994453594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98757905,0.00010702365,0.005169665,0.00017931242,0.000031518954,0.000023146125,0.0034109557,0.0001641548,0.003335176],"genre_scores_gemma":[0.9964934,0.00006110415,0.0014250705,0.000025372425,0.0000068954564,0.000031394946,0.0013916413,0.000024923474,0.00054030283],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998951,0.000036580477,0.0000055640667,0.000025338388,0.000018670175,0.000018633335],"domain_scores_gemma":[0.9996723,0.00015655834,0.00004385336,0.000024897598,0.000056930214,0.00004540431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047641486,0.0005329453,0.00042120033,0.00036563375,0.00031081875,0.0006506053,0.00069910527,0.0010882092,0.0012392765],"category_scores_gemma":[0.00091985165,0.00027072607,0.0006372639,0.00064182124,0.0004022986,0.0006645803,0.00038766643,0.0004735179,0.00015762627],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014159505,0.000037146376,0.0070772185,0.000019556552,0.000032981246,0.000045854034,0.000014867967,0.9899525,0.00095109176,0.00064041204,0.0002925187,0.0007942229],"study_design_scores_gemma":[0.00005377429,0.00006231309,0.0041754795,0.0000027052215,0.000016641015,0.000013759817,0.0000142719555,0.99449265,0.00055826793,0.00024732848,0.0003504826,0.0000123038635],"about_ca_topic_score_codex":0.031892426,"about_ca_topic_score_gemma":0.01887627,"teacher_disagreement_score":0.031892426,"about_ca_system_score_codex":0.0012513733,"about_ca_system_score_gemma":0.0007194802,"threshold_uncertainty_score":0.06341356},"labels":[],"label_agreement":null},{"id":"W1996107419","doi":"10.5194/bg-9-4707-2012","title":"Simulating the effects of phosphorus limitation in the Mississippi and Atchafalaya River plumes","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration","keywords":"Oceanography; Phosphorus; Environmental science; Bay; River delta; Phytoplankton; Continental shelf; Hydrology (agriculture); Nutrient; Particulates; Plume; Hypoxia (environmental); Sediment; Estuary; Delta; Geology; Ecology; Geomorphology","score_opus":0.012210535465591373,"score_gpt":0.2082214657424756,"score_spread":0.19601093027688424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996107419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985544,0.000025937441,0.00037121723,0.00007446096,0.0000064292067,0.000007949299,0.00017588881,0.000025825851,0.00075787917],"genre_scores_gemma":[0.99847275,0.00002905111,0.0008357804,0.000016550204,0.0000019473093,0.000015847956,0.00029054147,0.000007409266,0.00033001625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992,0.00002271975,0.0000042089805,0.000016254642,0.0000096061385,0.000027177282],"domain_scores_gemma":[0.999688,0.00011902285,0.00004649619,0.000016533631,0.00006506296,0.00006484405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002251633,0.0005318492,0.00037036894,0.0003834959,0.00060739997,0.0006438743,0.00063921424,0.0009394053,0.0011913815],"category_scores_gemma":[0.0008143143,0.00034750978,0.00060944207,0.0004377509,0.0003798246,0.0003982924,0.00051710854,0.0005642962,0.00007260272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015014909,0.00012602612,0.031663783,0.000017673647,0.00007574172,0.00017530016,0.000063324245,0.9632031,0.0020600539,0.0004485771,0.00026902088,0.0017472217],"study_design_scores_gemma":[0.000082560175,0.00008149947,0.0096499985,0.000004848935,0.00003023059,0.000016458911,0.00010742562,0.9890259,0.000528275,0.0001439724,0.0003178078,0.000011052245],"about_ca_topic_score_codex":0.15203574,"about_ca_topic_score_gemma":0.11538079,"teacher_disagreement_score":0.15203574,"about_ca_system_score_codex":0.0019049076,"about_ca_system_score_gemma":0.0016591785,"threshold_uncertainty_score":0.3023016},"labels":[],"label_agreement":null},{"id":"W1996185185","doi":"10.5194/bg-10-5243-2013","title":"Erosion control blankets, organic amendments and site variability influenced the initial plant community at a limestone quarry in the Canadian Rocky Mountains","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Graymont; Consejo Nacional de Ciencia y Tecnología","keywords":"Revegetation; Environmental science; Vegetation (pathology); Agronomy; Seeding; Erosion control; Erosion; Plant cover; Plant community; Nutrient; Manure; Native plant; Ecological succession; Ecology; Canopy; Geology; Introduced species; Biology","score_opus":0.018254905823109156,"score_gpt":0.22428700465677526,"score_spread":0.2060320988336661,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996185185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962044,0.000024675059,0.000020211426,0.0000069160524,5.2035824e-7,0.000008207871,0.00007941731,0.000003359479,0.00023625305],"genre_scores_gemma":[0.99804187,0.000053953077,0.0002776595,0.00001993534,9.132039e-7,0.000008985614,0.00025346415,0.0000032141409,0.001339939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997329,0.000020200827,0.000007134387,0.00005681234,0.00007043363,0.0001124495],"domain_scores_gemma":[0.9994967,0.000062044885,0.0000673135,0.000011196023,0.00015637343,0.00020643909],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024827366,0.00023042146,0.00026784136,0.0003859477,0.0015263327,0.0005260432,0.0006324156,0.0001830263,0.0011187135],"category_scores_gemma":[0.00034793324,0.00020915315,0.00017770157,0.0003794419,0.000518236,0.00013627548,0.00026468566,0.00021731887,0.00011591701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018729176,0.0005393385,0.76592815,0.00019418557,0.00014320477,0.0012021462,0.0038088043,0.0012279773,0.19290559,0.00017128875,0.00087347435,0.031133004],"study_design_scores_gemma":[0.000006882857,0.00017091971,0.9966067,0.0000040666873,0.000013629759,0.000034572742,0.00076678995,0.00030174,0.001607953,0.0000061236024,0.00047413717,0.000006512178],"about_ca_topic_score_codex":0.9052248,"about_ca_topic_score_gemma":0.9883979,"teacher_disagreement_score":0.0947752,"about_ca_system_score_codex":0.008140302,"about_ca_system_score_gemma":0.006042623,"threshold_uncertainty_score":0.19066668},"labels":[],"label_agreement":null},{"id":"W1998365257","doi":"10.5194/bg-11-4157-2014","title":"Terrestrial ecosystems response to future changes in climate and atmospheric CO <sub>2</sub> concentration","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Carbon sink; Climate change; Carbon cycle; Atmospheric sciences; Terrestrial ecosystem; Atmospheric carbon cycle; Carbon dioxide in Earth's atmosphere; Atmosphere (unit); Latitude; Ecosystem; Climatology; Meteorology; Geography; Ecology; Geology; Oceanography","score_opus":0.005700311268318774,"score_gpt":0.20366575578799084,"score_spread":0.19796544451967207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998365257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98503566,0.00023410983,0.0012692942,0.00054858613,0.000047229354,0.000026452872,0.004573178,0.00011728974,0.008148172],"genre_scores_gemma":[0.99760985,0.00012336927,0.00042145903,0.000054873897,0.0000041558387,0.0000100798725,0.0011484361,0.000014224798,0.00061358867],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986446,0.00003323877,0.000005594656,0.000019884892,0.000032000004,0.000044816512],"domain_scores_gemma":[0.99979347,0.000045699893,0.000027727641,0.0000121241965,0.000082236045,0.000038672457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033805755,0.00046795481,0.00024353288,0.0002752904,0.00047498214,0.0008559891,0.00056385103,0.00063532265,0.001987917],"category_scores_gemma":[0.00070078095,0.00020723716,0.0006935982,0.0005406961,0.00035104598,0.00046454437,0.00028865787,0.00039714252,0.00020840188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016053158,0.000042258776,0.057716098,0.00007710378,0.00022024795,0.00016362911,0.000029143643,0.9317868,0.004209718,0.0011275603,0.0020033666,0.0024634195],"study_design_scores_gemma":[0.00012853913,0.00016365008,0.15090966,0.000023689125,0.000153124,0.00010221719,0.00026264932,0.838916,0.0032572707,0.0012809902,0.0047418303,0.000060328908],"about_ca_topic_score_codex":0.43751362,"about_ca_topic_score_gemma":0.37865677,"teacher_disagreement_score":0.43751362,"about_ca_system_score_codex":0.0038621046,"about_ca_system_score_gemma":0.001953571,"threshold_uncertainty_score":0.869934},"labels":[],"label_agreement":null},{"id":"W1999010909","doi":"10.5194/bg-11-5565-2014","title":"Corrigendum to &amp;quot;Mechanisms of microbial carbon sequestration in the ocean – future research directions&amp;quot; published in Biogeosciences, 11, 5285–5306, 2014","year":2014,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Carbon sequestration; Chemistry; Environmental science; Carbon dioxide; Organic chemistry","score_opus":0.041748394970416706,"score_gpt":0.2960218957756994,"score_spread":0.25427350080528266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999010909","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012774795,0.0017599425,0.00084476906,0.03422117,0.9441165,0.000028847653,0.00078992767,0.00033235652,0.017778667],"genre_scores_gemma":[0.0055466723,0.008293115,0.004066404,0.049894128,0.19326188,0.00014284287,0.0021251906,0.0009868639,0.7356829],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99853694,0.00013381868,0.00018569514,0.000231575,0.0007627948,0.000149232],"domain_scores_gemma":[0.9905123,0.0013738443,0.00043692777,0.00061915215,0.006336038,0.0007216951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015339083,0.0012910204,0.0019147933,0.0024629426,0.0027830428,0.0041506737,0.0019071138,0.004246847,0.14359973],"category_scores_gemma":[0.016599474,0.0008206958,0.0010381829,0.0024541286,0.0016687878,0.002133037,0.001582553,0.0057750116,0.08885684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001656181,0.000006855699,0.00003201412,0.00008864521,0.000003170961,0.000057681773,0.000007760165,0.00004716167,0.000097667034,0.00080205774,0.9871452,0.011695168],"study_design_scores_gemma":[0.000013961412,0.000022149494,0.0006576249,0.00012708078,0.000014068028,0.00010766236,0.000033111286,0.00023102148,0.00035547948,0.0015793114,0.9968382,0.000020340527],"about_ca_topic_score_codex":0.017076472,"about_ca_topic_score_gemma":0.029699551,"teacher_disagreement_score":0.14359973,"about_ca_system_score_codex":0.0032017375,"about_ca_system_score_gemma":0.0033839454,"threshold_uncertainty_score":0.48038894},"labels":[],"label_agreement":null},{"id":"W1999773550","doi":"10.5194/bg-12-2047-2015","title":"Inorganic carbon dynamics of melt-pond-covered first-year sea ice in the Canadian Arctic","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; ArcticNet","keywords":"Oceanography; Arctic; Sea ice; Arctic ice pack; Environmental science; The arctic; Carbon fibers; Carbon dioxide; Physical geography; Climatology; Atmospheric sciences; Geology; Geography; Ecology; Biology; Materials science","score_opus":0.01572857695866743,"score_gpt":0.2001454290197996,"score_spread":0.18441685206113217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999773550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99751484,0.0002708967,0.000052308038,0.00004619511,0.000006713811,0.0000046364607,0.0010117175,0.000010676442,0.0010821142],"genre_scores_gemma":[0.9979983,0.00015190929,0.00011118385,0.00002039728,0.0000030876245,0.000003894021,0.0010833477,0.00000719754,0.00062056654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981433,0.0000044247467,0.0000059564313,0.00004003937,0.0000707195,0.00006453506],"domain_scores_gemma":[0.99963975,0.000010789972,0.000035081885,0.0000072434023,0.0002281432,0.000079076184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018986581,0.00065027404,0.0006023877,0.0014293778,0.00292354,0.0012912571,0.00068048725,0.00042133607,0.0010714342],"category_scores_gemma":[0.0002986837,0.00031531905,0.0005336748,0.0016919136,0.00054497865,0.0004195899,0.00059755176,0.00039486837,0.00015879012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004777252,0.0000740805,0.9443819,0.000149266,0.00018392735,0.0003358413,0.0018608432,0.0025292775,0.036944043,0.00025803028,0.0010098332,0.011795263],"study_design_scores_gemma":[0.000005230832,0.000011791021,0.9958126,0.000011894282,0.000018347706,0.000028114333,0.0005785438,0.0013163153,0.0010769065,0.00001788993,0.0011099897,0.000012428457],"about_ca_topic_score_codex":0.9789914,"about_ca_topic_score_gemma":0.9891257,"teacher_disagreement_score":0.02100861,"about_ca_system_score_codex":0.018389182,"about_ca_system_score_gemma":0.009227108,"threshold_uncertainty_score":0.13342345},"labels":[],"label_agreement":null},{"id":"W1999786433","doi":"10.5194/bg-5-311-2008","title":"Distribution of micro-organisms along a transect in the South-East Pacific Ocean (BIOSOPE cruise) using epifluorescence microscopy","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; National Aeronautics and Space Administration","keywords":"Upwelling; Transect; Ocean gyre; Oceanography; Mesopelagic zone; Autotroph; Photic zone; Eutrophication; Biology; Abundance (ecology); Phytoplankton; Ecology; Pelagic zone; Geology; Nutrient; Subtropics","score_opus":0.02378090286603102,"score_gpt":0.20843900414111635,"score_spread":0.18465810127508533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999786433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984542,0.00009529377,0.00014847101,0.000007914531,0.0000015524956,0.000008677842,0.00046419317,0.0000057060997,0.0008140623],"genre_scores_gemma":[0.99494594,0.00025175378,0.001263703,0.000025627509,0.0000032431308,0.0000329858,0.001525718,0.0000070124415,0.0019441387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999448,0.0000030509195,0.000002700955,0.000021445327,0.000018821436,0.0000091264665],"domain_scores_gemma":[0.99978,0.000018160692,0.000056447872,0.000006987796,0.00008422395,0.000054095515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008643196,0.00031478168,0.0001359881,0.0010388151,0.00040473836,0.00030119557,0.00016902399,0.00023168621,0.00092185335],"category_scores_gemma":[0.00016096781,0.00018416804,0.0001685248,0.0006346439,0.00020705424,0.00020323873,0.0004092012,0.0002529069,0.0001839999],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002243766,0.000025914269,0.5809731,0.00012691237,0.00007929668,0.00040295898,0.0015296107,0.00029851115,0.40849847,0.000034234447,0.0002446818,0.007561919],"study_design_scores_gemma":[7.9770854e-7,0.000020831769,0.9978447,0.0000032216617,0.0000046632877,0.000036732916,0.00020277033,0.00007470275,0.0015370833,0.000001923012,0.00027077962,0.0000017557147],"about_ca_topic_score_codex":0.05372614,"about_ca_topic_score_gemma":0.14221685,"teacher_disagreement_score":0.05372614,"about_ca_system_score_codex":0.00035791507,"about_ca_system_score_gemma":0.0003023216,"threshold_uncertainty_score":0.10682684},"labels":[],"label_agreement":null},{"id":"W2000013224","doi":"10.5194/bg-10-699-2013","title":"High-latitude cooling associated with landscape changes from North American boreal forest fires","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Center for Atmospheric Research; National Science Foundation","keywords":"Boreal; Environmental science; Ecological succession; Taiga; Albedo (alchemy); Climatology; Climate change; Vegetation (pathology); Latitude; Climate model; Physical geography; Fire regime; Atmospheric sciences; Geography; Ecology; Ecosystem; Oceanography; Geology; Forestry","score_opus":0.0063593164954949535,"score_gpt":0.18721969358267115,"score_spread":0.1808603770871762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000013224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981294,0.000039796927,0.00044500854,0.00007684076,0.000016136712,0.000007562619,0.00022379956,0.000031552143,0.0010298118],"genre_scores_gemma":[0.9994973,0.000018914943,0.00018522343,0.000018638253,0.0000027826632,0.000005775387,0.00013828173,0.0000044593467,0.00012865388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99986506,0.000043613345,0.000006661536,0.00003463259,0.000015828067,0.00003414356],"domain_scores_gemma":[0.9998228,0.00004958608,0.000028098979,0.00001731503,0.00003831029,0.000043991964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043349984,0.00043437516,0.0002534022,0.00021087441,0.0005253935,0.00064240687,0.00038752228,0.00045314466,0.0013122645],"category_scores_gemma":[0.00056741305,0.00018537717,0.0005604834,0.00020314148,0.00029409057,0.00036898535,0.00030100497,0.00033916402,0.00008162605],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003537821,0.00027224538,0.27853236,0.000059548274,0.00027425901,0.00022892568,0.00009395342,0.70673406,0.006018968,0.000785606,0.0013667112,0.0052796737],"study_design_scores_gemma":[0.00012542793,0.00022613595,0.2974523,0.000014370134,0.0001027795,0.00011177558,0.0002157405,0.6985139,0.001256979,0.00091404177,0.0010280744,0.00003843587],"about_ca_topic_score_codex":0.06280311,"about_ca_topic_score_gemma":0.09364629,"teacher_disagreement_score":0.9371969,"about_ca_system_score_codex":0.0011557104,"about_ca_system_score_gemma":0.0005964859,"threshold_uncertainty_score":0.12487513},"labels":[],"label_agreement":null},{"id":"W2000685228","doi":"10.5194/bg-10-3997-2013","title":"Photosynthate translocation increases in response to low seawater pH in a coral–dinoflagellate symbiosis","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Centre Scientifique de Monaco","keywords":"Stylophora pistillata; Seawater; Photosynthesis; Coral; Symbiodinium; Symbiosis; Carbon fibers; Biology; Respiration; Botany; Dinoflagellate; Dissolved organic carbon; Total inorganic carbon; Carbon dioxide; Ecology; Bacteria","score_opus":0.008860932170356614,"score_gpt":0.20845821512405913,"score_spread":0.19959728295370252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2000685228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992299,0.00024755785,0.00023085758,0.000036318423,0.0000036141673,0.0000032205458,0.00006274668,0.000008895435,0.00017687927],"genre_scores_gemma":[0.99926,0.00007418273,0.00023007547,0.00002376798,0.0000016725054,0.000006289856,0.00007164054,0.0000025361917,0.0003298858],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998846,0.000014564661,0.000008464558,0.00004150443,0.000024554824,0.00002628571],"domain_scores_gemma":[0.9998005,0.000026945185,0.000067547306,0.000020589508,0.000027217682,0.00005723286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017754966,0.00028505665,0.0003724198,0.00015520997,0.0002769286,0.00041218058,0.00018833502,0.00049751974,0.0007856446],"category_scores_gemma":[0.00017885733,0.00021676054,0.00022894242,0.00009321631,0.00032276806,0.00031070944,0.0005932053,0.00040188694,0.00014328897],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017619644,0.000007874842,0.004334837,0.00002344078,0.00000518432,0.000033856693,0.000041123414,0.000035285288,0.9948249,0.000012803885,0.0000073851747,0.0004971799],"study_design_scores_gemma":[0.00004492845,0.0016617203,0.6277779,0.000018404464,0.00004690525,0.00049320585,0.00062173745,0.0025919704,0.36524087,0.00018944812,0.0012853865,0.000027607484],"about_ca_topic_score_codex":0.001741345,"about_ca_topic_score_gemma":0.002214406,"teacher_disagreement_score":0.001741345,"about_ca_system_score_codex":0.0004584241,"about_ca_system_score_gemma":0.00022587978,"threshold_uncertainty_score":0.0034624338},"labels":[],"label_agreement":null},{"id":"W2001946245","doi":"10.5194/bg-12-2791-2015","title":"Carbon budget estimation of a subarctic catchment using a dynamic ecosystem model at high spatial resolution","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Vetenskapsrådet; Lunds Universitet; Svenska Forskningsrådet Formas","keywords":"Subarctic climate; Environmental science; Drainage basin; Estimation; Ecosystem; Carbon fibers; Carbon cycle; Hydrology (agriculture); Physical geography; Ecology; Geography; Geology; Oceanography; Computer science","score_opus":0.018608330436939692,"score_gpt":0.24464768552410568,"score_spread":0.226039355087166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001946245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959955,0.00007589383,0.0025706012,0.00009295568,0.000008100979,0.0000099202,0.0005081584,0.00010574455,0.0006332229],"genre_scores_gemma":[0.99725336,0.000045895016,0.0021078172,0.000017267565,0.0000048040147,0.000010294505,0.00037463228,0.000010320654,0.00017563217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990845,0.00002023332,0.0000054957045,0.00003395857,0.000011080242,0.000020782449],"domain_scores_gemma":[0.99978644,0.00006978594,0.000028685934,0.000027059477,0.000046341655,0.00004168119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037157242,0.00048449705,0.00049869606,0.00053297705,0.0004878734,0.0009104381,0.0008127352,0.0011065813,0.000995835],"category_scores_gemma":[0.0006572367,0.00040016242,0.00077607663,0.00080606935,0.00039282572,0.0005127772,0.000409132,0.0005922895,0.000113650414],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006911092,0.000115935305,0.02413014,0.000016652872,0.00007774092,0.00010023017,0.000024371033,0.97146803,0.0017657417,0.0003119451,0.00015800091,0.0017621964],"study_design_scores_gemma":[0.000017430553,0.000010153915,0.006856976,0.0000019286292,0.000011995299,0.0000061847527,0.000012133202,0.9927631,0.000146693,0.000085101565,0.00008257323,0.000005799851],"about_ca_topic_score_codex":0.12353669,"about_ca_topic_score_gemma":0.075089425,"teacher_disagreement_score":0.12353669,"about_ca_system_score_codex":0.001863213,"about_ca_system_score_gemma":0.001225023,"threshold_uncertainty_score":0.24563527},"labels":[],"label_agreement":null},{"id":"W2002315403","doi":"10.5194/bg-9-925-2012","title":"Tracing the transport of colored dissolved organic matter in water masses of the Southern Beaufort Sea: relationship with hydrographic characteristics","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Takuvik Joint International Laboratory; Université Laval","funders":"Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; National Science Foundation","keywords":"Hydrography; Beaufort sea; Oceanography; Colored dissolved organic matter; Water mass; Dissolved organic carbon; Tracing; Environmental science; Colored; Geography; Geology; Ecology; Sea ice; Biology; Phytoplankton; Computer science","score_opus":0.01549774418837089,"score_gpt":0.16876652389720975,"score_spread":0.15326877970883887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002315403","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995091,0.000029960913,0.00009736374,0.000009790589,9.694123e-7,0.0000019929043,0.00011572148,0.000007824026,0.00022739162],"genre_scores_gemma":[0.9992749,0.00002180741,0.00034044439,0.000007453369,0.0000020662312,0.0000034614675,0.00020744686,0.0000024898773,0.00013994533],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999125,0.000011615063,0.0000029670473,0.000024998306,0.000026160302,0.000021801125],"domain_scores_gemma":[0.9996948,0.000056031382,0.00009474979,0.000013489611,0.00009038743,0.00005061338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018274329,0.00028240483,0.0002137432,0.00080682983,0.0005331038,0.00061501417,0.00025525453,0.00027410974,0.0002886857],"category_scores_gemma":[0.00039071447,0.00019051846,0.00021465572,0.000912819,0.0002634462,0.0002851488,0.00027180297,0.00016508292,0.00010027395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012826135,0.00002586071,0.97176975,0.000017300476,0.00004949643,0.00016342806,0.0005801732,0.0015344529,0.019145483,0.000053198633,0.00013578839,0.0063968142],"study_design_scores_gemma":[0.0000023695568,0.000025516862,0.99634165,0.0000019286972,0.0000055322926,0.00002290744,0.00013178172,0.0026765184,0.0005775829,0.000009098699,0.0002010206,0.0000041440017],"about_ca_topic_score_codex":0.1933999,"about_ca_topic_score_gemma":0.23889463,"teacher_disagreement_score":0.1933999,"about_ca_system_score_codex":0.0009534422,"about_ca_system_score_gemma":0.00047779625,"threshold_uncertainty_score":0.38454837},"labels":[],"label_agreement":null},{"id":"W2003258270","doi":"10.5194/bg-12-3119-2015","title":"Environmental correlates of peatland carbon fluxes in a thawing landscape: do transitional thaw stages matter?","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Peat; Permafrost; Environmental science; Ecosystem; Substrate (aquarium); Flux (metallurgy); Atmospheric sciences; Wetland; Soil science; Ecology; Geology; Chemistry","score_opus":0.025740169443842692,"score_gpt":0.21623857961595555,"score_spread":0.19049841017211286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003258270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99966705,0.000060786402,0.00006180846,0.000012848291,0.0000011201151,7.8338826e-7,0.000061551866,0.0000014855469,0.00013260204],"genre_scores_gemma":[0.99983895,0.00001827651,0.000023592536,0.000006091243,0.0000025010715,6.105751e-7,0.00006200536,0.0000012640628,0.000046754674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998776,0.000042165055,0.000008675954,0.00002873422,0.000011543004,0.000031205134],"domain_scores_gemma":[0.9986743,0.0005391492,0.0004131582,0.000070411996,0.00010962412,0.0001934666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000553025,0.00013713779,0.00024930693,0.00037816644,0.00022861607,0.000593391,0.00014630135,0.00023773771,0.001251427],"category_scores_gemma":[0.0014949462,0.00010710764,0.00020472873,0.00043162,0.00036234505,0.00042812273,0.0002652399,0.00023508516,0.00010019099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000902615,0.000013873158,0.9971316,0.0000056588447,0.000046401794,0.000041689847,0.00007469629,0.00013987176,0.0011177043,0.000035948837,0.000024767265,0.0012775064],"study_design_scores_gemma":[2.5705816e-7,0.0000064527703,0.99969125,7.9258365e-7,0.000004066995,0.0000083489995,0.000049699,0.00016965388,0.000032392756,0.000021957512,0.000014497812,5.852846e-7],"about_ca_topic_score_codex":0.0051025,"about_ca_topic_score_gemma":0.0101822615,"teacher_disagreement_score":0.0051025,"about_ca_system_score_codex":0.00017053471,"about_ca_system_score_gemma":0.00019613196,"threshold_uncertainty_score":0.010145545},"labels":[],"label_agreement":null},{"id":"W2004899697","doi":"10.5194/bg-4-853-2007","title":"Relationship between photosynthetic parameters and different proxies of phytoplankton biomass in the subtropical ocean","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Comisión Nacional de Investigación Científica y Tecnológica; Centre National de la Recherche Scientifique; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Phytoplankton; Irradiance; Biomass (ecology); Environmental science; Photosynthesis; Chlorophyll a; Atmospheric sciences; Subtropics; Estimator; Particulates; Oceanography; Chlorophyll; Botany; Biology; Ecology; Nutrient; Geology; Mathematics; Statistics; Physics","score_opus":0.029701234957914248,"score_gpt":0.229197141498116,"score_spread":0.19949590654020177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004899697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995641,0.00005477942,0.00012993265,0.0000062272993,4.4056182e-7,6.509529e-7,0.000060540468,0.000004511327,0.00017873428],"genre_scores_gemma":[0.999688,0.00002543816,0.00008976394,0.0000043085415,6.222328e-7,7.4297213e-7,0.00011952881,0.0000011833911,0.00007043321],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993,0.000018510713,0.0000054604025,0.000014625956,0.000022275626,0.000009101353],"domain_scores_gemma":[0.99931,0.00026157097,0.00012416771,0.00006809114,0.00018321283,0.000052993237],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039920548,0.0002374079,0.00013977967,0.0004738963,0.00014322763,0.00035026993,0.00009325027,0.00016781701,0.00049042853],"category_scores_gemma":[0.0014001715,0.00011216766,0.00013272617,0.00043120378,0.00021719602,0.00024637728,0.00022725604,0.0001773742,0.00012643996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014109246,0.000016490683,0.9757657,0.000015196206,0.000128004,0.00005884599,0.000106881096,0.0018025748,0.016059343,0.000050747287,0.00004599819,0.0058091017],"study_design_scores_gemma":[0.000001345686,0.000014165448,0.9976069,0.0000013205217,0.000007773841,0.000029793302,0.000055378583,0.0014117789,0.00078315334,0.000039452025,0.00004674783,0.0000021308454],"about_ca_topic_score_codex":0.008513219,"about_ca_topic_score_gemma":0.013793483,"teacher_disagreement_score":0.008513219,"about_ca_system_score_codex":0.00025774873,"about_ca_system_score_gemma":0.00012170227,"threshold_uncertainty_score":0.016927302},"labels":[],"label_agreement":null},{"id":"W2005746666","doi":"10.5194/bg-9-3213-2012","title":"Optical characterisation of suspended particles in the Mackenzie River plume (Canadian Arctic Ocean) and implications for ocean colour remote sensing","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Collège Boréal; Takuvik Joint International Laboratory; Université du Québec à Rimouski; University of Manitoba","funders":"Goddard Space Flight Center; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; National Aeronautics and Space Administration","keywords":"Arctic; Environmental science; Permafrost; Ocean color; Colored dissolved organic matter; Plume; Terrigenous sediment; Oceanography; Biogeochemical cycle; Remote sensing; Geology; Satellite; Meteorology; Phytoplankton; Geomorphology; Sediment","score_opus":0.02693658613683945,"score_gpt":0.23107327447601594,"score_spread":0.2041366883391765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005746666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952825,0.00020873165,0.001652091,0.000048565616,0.0000048758693,0.000023586139,0.0006877213,0.000055815315,0.002036105],"genre_scores_gemma":[0.9940154,0.00012466637,0.004562695,0.000017973121,0.0000018940261,0.000010138538,0.0007341819,0.000011893486,0.0005210913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990404,0.0000043775703,0.0000032170192,0.000019010222,0.000048891554,0.000020523827],"domain_scores_gemma":[0.99984074,0.000013247648,0.000017171498,0.000004783962,0.000106989755,0.00001697295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019227974,0.00033361703,0.00013689516,0.00089644454,0.00067561876,0.0005728184,0.00032143286,0.00015727032,0.00045323712],"category_scores_gemma":[0.0003529206,0.000118883276,0.00020366801,0.0009484889,0.00021508308,0.0001791031,0.00026803065,0.00018223119,0.00007013665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025839807,0.00008892308,0.76177704,0.00014215223,0.000118827695,0.00015270572,0.0006219808,0.014606242,0.13074563,0.00039425242,0.0014375875,0.089656256],"study_design_scores_gemma":[0.000007823209,0.000023829094,0.96544033,0.000011412801,0.000030831907,0.00004185799,0.000382067,0.024498919,0.008321087,0.00003665236,0.001184027,0.000021062018],"about_ca_topic_score_codex":0.8640443,"about_ca_topic_score_gemma":0.9244678,"teacher_disagreement_score":0.13595569,"about_ca_system_score_codex":0.0026961393,"about_ca_system_score_gemma":0.0021486068,"threshold_uncertainty_score":0.27351266},"labels":[],"label_agreement":null},{"id":"W2008259308","doi":"10.5194/bg-5-1273-2008","title":"Wetland succession in a permafrost collapse: interactions between fire and thermokarst","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Pacific Northwest Research Station; U.S. Geological Survey; U.S. Department of Agriculture; U.S. Forest Service; National Science Foundation","keywords":"Thermokarst; Permafrost; Peat; Sphagnum; Ecological succession; Black spruce; Environmental science; Wetland; Taiga; Subarctic climate; Boreal; Ecosystem; Ecology; Physical geography; Hydrology (agriculture); Geology; Geography; Oceanography","score_opus":0.0514937069265172,"score_gpt":0.2662230251422637,"score_spread":0.2147293182157465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008259308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999819,0.000026676877,0.000014635354,0.000007609466,7.2601415e-7,9.135902e-7,0.000019896699,9.0751763e-7,0.00010969557],"genre_scores_gemma":[0.99986625,0.000012520616,0.00002078607,0.0000060135335,0.0000017018175,0.000001307649,0.000035990477,4.5297068e-7,0.000055033055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999877,0.00004022414,0.000008089819,0.000024723302,0.000016451278,0.000033507105],"domain_scores_gemma":[0.9995259,0.00010058119,0.00015986638,0.000017549175,0.000041166317,0.00015499955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032670042,0.000102853686,0.00016487857,0.00048847136,0.000355633,0.0004738735,0.0001424654,0.00022803656,0.0010556334],"category_scores_gemma":[0.0006877941,0.0001125201,0.00017508006,0.000289106,0.00032060072,0.00021180314,0.00035302102,0.00021747223,0.00009157858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017174795,0.000052973402,0.9955427,0.000004903331,0.000027791131,0.00012755934,0.00016976272,0.00010087426,0.0022531673,0.00001963127,0.00003240763,0.0014965043],"study_design_scores_gemma":[7.9880306e-7,0.00002472442,0.9995865,8.700016e-7,0.0000027751937,0.00003815835,0.00013261386,0.00013337932,0.000043272616,0.00000746354,0.000028447701,9.280879e-7],"about_ca_topic_score_codex":0.010039285,"about_ca_topic_score_gemma":0.028666466,"teacher_disagreement_score":0.010039285,"about_ca_system_score_codex":0.00036742206,"about_ca_system_score_gemma":0.00023908065,"threshold_uncertainty_score":0.019961655},"labels":[],"label_agreement":null},{"id":"W2009684012","doi":"10.5194/bg-12-2063-2015","title":"Numerical analysis of the primary processes controlling oxygen dynamics on the Louisiana shelf","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration","keywords":"Water column; Pycnocline; Environmental science; Oceanography; Hypoxia (environmental); Biogeochemical cycle; Sink (geography); Hydrology (agriculture); Primary production; Oxygen; Geology; Ecology; Environmental chemistry; Ecosystem; Chemistry; Biology","score_opus":0.017247115675271648,"score_gpt":0.20280420607498872,"score_spread":0.18555709039971707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009684012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955716,0.00005270936,0.0011875174,0.00015140515,0.000007593663,0.000012095483,0.00032958723,0.00004921231,0.0026382771],"genre_scores_gemma":[0.9979315,0.000032251777,0.0009344247,0.000029245262,0.0000033158144,0.000017038434,0.0002100202,0.000009239513,0.00083299616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992716,0.000016074366,0.0000042996785,0.00001735294,0.000010222528,0.000024835046],"domain_scores_gemma":[0.99954444,0.00019406166,0.00007231389,0.000024240837,0.00010359535,0.00006132473],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019260746,0.00039380754,0.00031731906,0.0004502838,0.00069825933,0.000799509,0.0005532984,0.0009806743,0.001868431],"category_scores_gemma":[0.00083576766,0.0002824043,0.00048273258,0.00038457426,0.0005673814,0.00034787453,0.00054412254,0.00048990146,0.000116587806],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007335282,0.00006426051,0.02487997,0.000021499443,0.00003920165,0.00014428119,0.000057384692,0.9690963,0.00289313,0.0010052591,0.0002992066,0.0014261456],"study_design_scores_gemma":[0.000022717117,0.000026035643,0.006185515,0.0000033743063,0.000007588953,0.00000808091,0.00005998426,0.9930374,0.00027348023,0.00017120158,0.00019782079,0.0000067805295],"about_ca_topic_score_codex":0.11985302,"about_ca_topic_score_gemma":0.07107721,"teacher_disagreement_score":0.11985302,"about_ca_system_score_codex":0.0018644717,"about_ca_system_score_gemma":0.0014066397,"threshold_uncertainty_score":0.23831081},"labels":[],"label_agreement":null},{"id":"W2009925919","doi":"10.5194/bg-11-2827-2014","title":"Synoptic evaluation of carbon cycling in the Beaufort Sea during summer: contrasting river inputs, ecosystem metabolism and air–sea CO <sub>2</sub> fluxes","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique; University of Manitoba; Université Laval; Golder Associates (Canada)","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Canada Excellence Research Chairs, Government of Canada; Agence Nationale de la Recherche; ArcticNet; European Space Agency","keywords":"Primary production; Environmental science; Oceanography; Arctic; Sea ice; Carbon cycle; Upwelling; Ecosystem; Arctic sea ice decline; Biogeochemical cycle; Atmospheric sciences; Arctic ice pack; Ecology; Environmental chemistry; Geology; Chemistry; Sea ice thickness; Biology","score_opus":0.015077058674104825,"score_gpt":0.222610085434142,"score_spread":0.20753302676003718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009925919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971027,0.00006899735,0.00019004579,0.000024270132,0.0000069906973,0.000008209535,0.0019430052,0.000047479516,0.0006083626],"genre_scores_gemma":[0.99621296,0.00003316672,0.00057493156,0.000017124064,0.000015715994,0.000011705807,0.0029215373,0.000007487202,0.00020544892],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978775,0.0000382913,0.000016676957,0.00007063667,0.000047985704,0.00003861132],"domain_scores_gemma":[0.9994804,0.00010567191,0.00014039417,0.00005693987,0.00011933851,0.000097272874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042639888,0.0003281419,0.00027327656,0.0010842078,0.00048762508,0.0007121304,0.00035179427,0.000372267,0.0008288986],"category_scores_gemma":[0.00033606368,0.00015742605,0.00039942283,0.0013860216,0.00031078202,0.00035239191,0.00027504066,0.00015501755,0.000107687905],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006273776,0.0001329466,0.9664642,0.000073467796,0.0002634053,0.0004183289,0.00054541597,0.009505404,0.008479333,0.000106191685,0.0018082006,0.011575619],"study_design_scores_gemma":[0.000007775568,0.00004304267,0.99384344,0.000004170046,0.00002143515,0.000030482493,0.00015714322,0.00480265,0.0003783136,0.000012127607,0.00069211633,0.0000073066294],"about_ca_topic_score_codex":0.15682092,"about_ca_topic_score_gemma":0.23712838,"teacher_disagreement_score":0.15682092,"about_ca_system_score_codex":0.0009554296,"about_ca_system_score_gemma":0.00050546427,"threshold_uncertainty_score":0.31181628},"labels":[],"label_agreement":null},{"id":"W2010164940","doi":"10.5194/bg-7-3637-2010","title":"Attribution of spatial and temporal variations in terrestrial methane flux over North America","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Cooperative State Research, Education, and Extension Service; Harvard University; U.S. Department of Agriculture; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Environmental science; Methane; Flux (metallurgy); Atmospheric sciences; Spatial variability; Ecosystem; Terrestrial ecosystem; Ozone; Greenhouse gas; Climate change; Carbon dioxide; Geography; Oceanography; Ecology; Chemistry; Geology; Meteorology","score_opus":0.008304191175498087,"score_gpt":0.2188651319147802,"score_spread":0.2105609407392821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010164940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987087,0.000038912876,0.0006017205,0.000054512242,0.0000031628208,0.0000038214994,0.00018078256,0.000027549664,0.0003807512],"genre_scores_gemma":[0.99916303,0.000038624414,0.00045884147,0.000014641103,0.0000013246341,0.0000067362143,0.00021363725,0.0000056353265,0.00009752579],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99989176,0.000028786442,0.000004510422,0.00004448249,0.000012240013,0.000018148421],"domain_scores_gemma":[0.9998423,0.00004939288,0.00003473103,0.000017453383,0.00003774421,0.000018382589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031483904,0.00027161025,0.00016422899,0.0002998158,0.00025240105,0.0003456087,0.0003374976,0.00040178865,0.00051931944],"category_scores_gemma":[0.0006582108,0.00022000413,0.00047676964,0.00040927847,0.00026093842,0.00043615847,0.00032263913,0.00023269549,0.000049558097],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019477626,0.0001217869,0.39924586,0.000042868884,0.00021222113,0.00020613972,0.00011022905,0.58286405,0.008881907,0.0005728758,0.00043246066,0.007114877],"study_design_scores_gemma":[0.00005598715,0.000065842905,0.24015197,0.000008126524,0.000057859976,0.000045808476,0.00019394579,0.7562619,0.0018006889,0.0004988929,0.0008314576,0.000027572367],"about_ca_topic_score_codex":0.0988798,"about_ca_topic_score_gemma":0.089175195,"teacher_disagreement_score":0.9011202,"about_ca_system_score_codex":0.0012234284,"about_ca_system_score_gemma":0.00068848795,"threshold_uncertainty_score":0.19660854},"labels":[],"label_agreement":null},{"id":"W2014051843","doi":"10.5194/bg-10-5281-2013","title":"Summertime calcium carbonate undersaturation in shelf waters of the western Arctic Ocean – how biological processes exacerbate the impact of ocean acidification","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Aragonite; Oceanography; Ocean acidification; Arctic; Calcite; Calcium carbonate; Environmental science; Biogeochemical cycle; Bottom water; Sea ice; Seawater; Colored dissolved organic matter; Canada Basin; Phytoplankton; Geology; Environmental chemistry; Chemistry; Nutrient; Mineralogy","score_opus":0.03189469956053728,"score_gpt":0.24507635659494864,"score_spread":0.21318165703441136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014051843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99807537,0.00074702775,0.00004266295,0.00010501608,0.000011921751,0.0000024656654,0.00016021302,0.000003510893,0.0008519259],"genre_scores_gemma":[0.998808,0.0004948852,0.00006851703,0.00006140081,0.000013184457,0.0000024235583,0.0001780824,0.0000022407944,0.0003712085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986327,0.00001829659,0.0000118304615,0.000032708278,0.00002700592,0.000046876048],"domain_scores_gemma":[0.99967957,0.000017118065,0.00011623377,0.0000127543135,0.00010300747,0.00007137154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026837125,0.0003022265,0.00028605523,0.00046939825,0.00063088106,0.0009177528,0.00016970532,0.0003116573,0.0010111795],"category_scores_gemma":[0.00042695098,0.00020004608,0.0002899214,0.00057699136,0.00033528876,0.0003928961,0.0005205448,0.000248055,0.00017424053],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003352118,0.00004153994,0.945184,0.00008929434,0.00014834844,0.0003333979,0.0006772401,0.00026015606,0.045833834,0.0001376003,0.00045503431,0.0065043084],"study_design_scores_gemma":[0.0000015321306,0.00002662421,0.99792695,0.000008196945,0.000016943726,0.000060497074,0.000668444,0.00014589135,0.0005269749,0.000047542562,0.00056713424,0.0000033054434],"about_ca_topic_score_codex":0.07871075,"about_ca_topic_score_gemma":0.12931907,"teacher_disagreement_score":0.07871075,"about_ca_system_score_codex":0.0007474415,"about_ca_system_score_gemma":0.0009775213,"threshold_uncertainty_score":0.15650517},"labels":[],"label_agreement":null},{"id":"W2014393629","doi":"10.5194/bg-10-7661-2013","title":"Arctic gypsum endoliths: a biogeochemical characterization of a viable and active microbial community","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; McGill University; McMaster University","funders":"National Research Council Canada; Western Economic Diversification Canada; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; McMaster University; McGill University; Natural Resources Canada; University of Saskatchewan; Canadian Light Source; National Science Foundation","keywords":"Microbial population biology; Biogeochemical cycle; Ecology; Microorganism; Carbon cycle; Environmental chemistry; Arctic; Biology; Botany; Ecosystem; Chemistry; Bacteria","score_opus":0.013253913130188947,"score_gpt":0.22719596290905614,"score_spread":0.2139420497788672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014393629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778026,0.000421757,0.00024245951,0.000008353099,0.00000255831,0.000016294729,0.0009562761,0.000005167317,0.0005668572],"genre_scores_gemma":[0.9955829,0.00059524435,0.0013708618,0.000024920846,0.000006629035,0.000022533826,0.0015984707,0.0000075793077,0.0007908673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990547,0.000005151311,0.0000039286324,0.00002965376,0.000028962162,0.00002679579],"domain_scores_gemma":[0.99988973,0.000007790219,0.000018600407,0.000004224222,0.000041151543,0.000038522714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010263245,0.00039952033,0.00025280326,0.00086355186,0.0006770464,0.00049713766,0.00014751247,0.00016511598,0.00042945935],"category_scores_gemma":[0.00011694588,0.00010367472,0.00016678902,0.0007516913,0.00024275352,0.00010963983,0.00036782914,0.00012389827,0.0001412759],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019461731,0.000021487069,0.09839293,0.00015124251,0.000038059963,0.00024344059,0.0009210432,0.000117691554,0.89298224,0.000057170473,0.000069129586,0.006810884],"study_design_scores_gemma":[0.0000035604296,0.00008754924,0.98256636,0.000013837618,0.000021774717,0.00026147472,0.00073929294,0.000272755,0.014402796,0.000014293083,0.0016103099,0.000005990412],"about_ca_topic_score_codex":0.09805016,"about_ca_topic_score_gemma":0.12990558,"teacher_disagreement_score":0.09805016,"about_ca_system_score_codex":0.00041129036,"about_ca_system_score_gemma":0.00074786256,"threshold_uncertainty_score":0.19495893},"labels":[],"label_agreement":null},{"id":"W2014460666","doi":"10.5194/bg-9-4787-2012","title":"Intense photooxidative degradation of planktonic and bacterial lipids in sinking particles collected with sediment traps across the Canadian Beaufort Shelf (Arctic Ocean)","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; ArcticNet","keywords":"Phytodetritus; Dimethylsulfoniopropionate; Oceanography; Arctic; Photic zone; Sediment trap; Plankton; Photodegradation; Environmental chemistry; Environmental science; Sediment; Marine snow; Phytoplankton; Chemistry; Ecology; Total organic carbon; Benthic zone; Geology; Nutrient; Biology; Water column; Foraminifera","score_opus":0.013898811931368724,"score_gpt":0.2053969186145748,"score_spread":0.19149810668320608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014460666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984713,0.00020472296,0.00015176028,0.000010043841,0.0000047056674,0.000010864333,0.0006880468,0.000006546482,0.00045178394],"genre_scores_gemma":[0.99607736,0.0002726794,0.00081311446,0.000044700442,0.000006534355,0.000016210022,0.0015005717,0.000009445226,0.0012593883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974006,0.000008255834,0.00001103043,0.00005913126,0.000117987816,0.00006344221],"domain_scores_gemma":[0.9996517,0.000014904133,0.00007257827,0.000008105216,0.00018918814,0.00006353966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020279872,0.0007745967,0.00042489817,0.001520289,0.0027364995,0.00093951053,0.00041826104,0.00035257236,0.0007092242],"category_scores_gemma":[0.00019847864,0.00034325826,0.00036334287,0.0014202036,0.00043094347,0.00023770779,0.00040211456,0.00024603526,0.0001506382],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039049087,0.000040213723,0.596535,0.00016776122,0.00012931688,0.0004423202,0.0022356326,0.00026306126,0.39224944,0.000052821088,0.00024973007,0.0072442065],"study_design_scores_gemma":[0.0000017938419,0.000045750014,0.99234927,0.000005698698,0.000021257702,0.00006435103,0.0004613226,0.00010343419,0.006492233,0.000003056822,0.00044627566,0.0000055379355],"about_ca_topic_score_codex":0.6740378,"about_ca_topic_score_gemma":0.83135235,"teacher_disagreement_score":0.3259622,"about_ca_system_score_codex":0.0023187238,"about_ca_system_score_gemma":0.002172366,"threshold_uncertainty_score":0.6557636},"labels":[],"label_agreement":null},{"id":"W2014849466","doi":"10.5194/bg-10-4087-2013","title":"Increasing cloudiness in Arctic damps the increase in phytoplankton primary production due to sea ice receding","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Arctic; Sea ice; Arctic sea ice decline; Arctic geoengineering; Environmental science; Arctic ice pack; Oceanography; Climatology; Cloud cover; Arctic dipole anomaly; Canada Basin; Geology; Sea ice thickness; Antarctic sea ice; Cloud computing","score_opus":0.012082109840922095,"score_gpt":0.20873377950859623,"score_spread":0.19665166966767414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014849466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982672,0.00010166501,0.0005491333,0.000034159875,0.000007855356,0.0000033680458,0.00034826016,0.00002537796,0.0006629607],"genre_scores_gemma":[0.99934024,0.000054354477,0.00014553213,0.00000822573,0.0000021601722,0.0000014483043,0.00029328937,0.0000038860303,0.0001508603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999423,0.000009475802,0.0000038766707,0.000015536496,0.000012930362,0.000015896867],"domain_scores_gemma":[0.9998406,0.00004009713,0.000044384917,0.0000143843,0.00003285306,0.000027689837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019754935,0.00024137292,0.00019702959,0.00017530307,0.00021259446,0.00048373305,0.00017158431,0.00017515753,0.00097382383],"category_scores_gemma":[0.00051400013,0.00013528709,0.0003409804,0.00020187153,0.000102640195,0.00016312106,0.00019719367,0.00015289964,0.0002118294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004884017,0.00010985335,0.900539,0.00008272955,0.00019898436,0.00028692876,0.000108667155,0.04400286,0.0411491,0.00026908924,0.00067203864,0.012092377],"study_design_scores_gemma":[0.000009487136,0.00006585761,0.9456241,0.000009431628,0.000042994852,0.000076290664,0.000092350005,0.051054154,0.0023996779,0.00012218997,0.00049831514,0.0000051175502],"about_ca_topic_score_codex":0.045376115,"about_ca_topic_score_gemma":0.03411308,"teacher_disagreement_score":0.045376115,"about_ca_system_score_codex":0.00046982575,"about_ca_system_score_gemma":0.0003520568,"threshold_uncertainty_score":0.09022403},"labels":[],"label_agreement":null},{"id":"W2016733201","doi":"10.5194/bg-10-6893-2013","title":"Evaluating the agreement between measurements and models of net ecosystem exchange at different times and timescales using wavelet coherence: an example using data from the North American Carbon Program Site-Level Interim Synthesis","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; University of Alberta; University of British Columbia; Canadian Forest Service; University of Toronto; Université du Québec à Montréal; McMaster University","funders":"Oak Ridge National Laboratory; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Primary production; Ecosystem; Ecosystem respiration; Eddy covariance; Environmental science; Atmospheric sciences; Ecosystem model; Biosphere; Climatology; Ecology; Physics; Geology; Biology","score_opus":0.2750253564861147,"score_gpt":0.3180438785450826,"score_spread":0.04301852205896789,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016733201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916313,0.00013828729,0.0059632612,0.0001190853,0.000012457944,0.00002243354,0.0010159645,0.00012527683,0.00097188057],"genre_scores_gemma":[0.99437696,0.000035410852,0.004541217,0.00001554365,0.000003919114,0.00001420466,0.0009209467,0.000029975175,0.00006181177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988411,0.00064466125,0.000088446664,0.0002290206,0.00015017248,0.000046615496],"domain_scores_gemma":[0.9920838,0.0050100335,0.0007634567,0.0009140039,0.001106276,0.00012257304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007868249,0.00052037043,0.00033266866,0.0011565429,0.00029657994,0.0010230893,0.0005318555,0.000560278,0.0004995196],"category_scores_gemma":[0.011477828,0.000234674,0.00082987896,0.0015422102,0.00026272182,0.0014310912,0.0005475226,0.0004422069,0.00011659947],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064765615,0.00032551508,0.6608207,0.00016980869,0.0011531077,0.00028484425,0.00069630984,0.29276046,0.0052174255,0.0018564198,0.0023331146,0.03373469],"study_design_scores_gemma":[0.000054859727,0.000178406,0.3216195,0.000041762316,0.00013951208,0.000053437594,0.0004964272,0.6723012,0.002399335,0.0013105179,0.0013433173,0.0000617436],"about_ca_topic_score_codex":0.02650066,"about_ca_topic_score_gemma":0.032143634,"teacher_disagreement_score":0.02650066,"about_ca_system_score_codex":0.001200161,"about_ca_system_score_gemma":0.00044836878,"threshold_uncertainty_score":0.05269283},"labels":[],"label_agreement":null},{"id":"W2018468885","doi":"10.5194/bg-10-6485-2013","title":"Technical Note: The Simple Diagnostic Photosynthesis and Respiration Model (SDPRM)","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Photosynthetically active radiation; Environmental science; Atmospheric sciences; Primary production; Climatology; Precipitation; Biome; Meteorology; Ecosystem; Photosynthesis; Ecology; Geography; Geology","score_opus":0.009934193686511753,"score_gpt":0.21257682687616775,"score_spread":0.202642633189656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018468885","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012883608,0.0006560259,0.9649134,0.0014484794,0.000665599,0.00023487261,0.0039595314,0.0040191785,0.011219213],"genre_scores_gemma":[0.27730674,0.0011632468,0.68439513,0.0009448286,0.0005388854,0.0007826087,0.009891563,0.0011625742,0.023814378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971193,0.000062869214,0.000018220277,0.000066318826,0.000121177574,0.00001941613],"domain_scores_gemma":[0.9996182,0.00009297697,0.000038363167,0.00009758121,0.0001232157,0.000029681902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071306725,0.00081230974,0.00046539336,0.00036962435,0.00032129837,0.0009924354,0.0020683627,0.0010077179,0.0057469266],"category_scores_gemma":[0.0014257751,0.0004457346,0.00096659857,0.00039947385,0.00029323163,0.0013369292,0.0014435559,0.0016013767,0.0036593091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026684525,0.0001669832,0.006608469,0.00070947997,0.00016722655,0.00077867316,0.000102624515,0.5304007,0.034598347,0.13999976,0.06682535,0.2193756],"study_design_scores_gemma":[0.00006584978,0.00006851998,0.0011237898,0.0000307442,0.00003240398,0.00020253705,0.0000074298296,0.9195434,0.0054310225,0.017106952,0.05633734,0.00005006531],"about_ca_topic_score_codex":0.003196019,"about_ca_topic_score_gemma":0.0020727718,"teacher_disagreement_score":0.0057469266,"about_ca_system_score_codex":0.0005872639,"about_ca_system_score_gemma":0.00120638,"threshold_uncertainty_score":0.019225419},"labels":[],"label_agreement":null},{"id":"W2020824548","doi":"10.5194/bg-11-3307-2014","title":"Corrigendum to &amp;quot;Can current moisture responses predict soil CO&amp;lt;sub&amp;gt;2&amp;lt;/sub&amp;gt; efflux under altered precipitation regimes? A synthesis of manipulation experiments&amp;quot;","year":2014,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Geophysical and Geoelectrical Methods","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Efflux; Chemistry; Hydrology (agriculture); Precipitation; Environmental science; Animal science; Biochemistry; Biology; Geology; Physics; Meteorology","score_opus":0.07014616245577285,"score_gpt":0.30909386354397,"score_spread":0.23894770108819716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020824548","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006080788,0.0038304224,0.00352498,0.045161534,0.917286,0.00007895336,0.0023200912,0.000611077,0.026578888],"genre_scores_gemma":[0.014252988,0.007832601,0.0076256045,0.037008435,0.094771944,0.00023682853,0.0031957147,0.0015414475,0.8335344],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992269,0.00011153655,0.00010770617,0.00013989444,0.00036640654,0.000047588157],"domain_scores_gemma":[0.9920312,0.0015341246,0.000247414,0.00062284333,0.005266467,0.00029800905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001459061,0.0009825091,0.0013221767,0.0015175287,0.0016155298,0.0019614617,0.001271892,0.0012119222,0.124290496],"category_scores_gemma":[0.016363291,0.0005141856,0.0007868407,0.0014493287,0.0010421035,0.0012116191,0.0009915039,0.0027608108,0.045670684],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040375777,0.000013270935,0.00009153461,0.00011593725,0.000008834154,0.000060676684,0.00002023688,0.0000794892,0.00021459708,0.0010058937,0.9794362,0.018912967],"study_design_scores_gemma":[0.00002441146,0.00006390867,0.0026721428,0.00016950407,0.000038530263,0.000113015,0.00008336192,0.00039991635,0.0007449112,0.0017697294,0.99389315,0.000027486305],"about_ca_topic_score_codex":0.029280044,"about_ca_topic_score_gemma":0.051340353,"teacher_disagreement_score":0.124290496,"about_ca_system_score_codex":0.0019224242,"about_ca_system_score_gemma":0.0020822522,"threshold_uncertainty_score":0.41579312},"labels":[],"label_agreement":null},{"id":"W2021235751","doi":"10.5194/bg-7-2245-2010","title":"Corrigendum to &amp;quot;A regional high-resolution carbon flux inversion of North America for 2004&amp;quot; published in Biogeosciences, 7, 1625-1644, 2010","year":2010,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration","keywords":"Inversion (geology); Flux (metallurgy); Carbon flux; Geology; Chemistry; Paleontology; Biology; Ecology","score_opus":0.018245757688455277,"score_gpt":0.2200946891104108,"score_spread":0.20184893142195554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021235751","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00057107786,0.0014329518,0.0026198914,0.033632763,0.9320676,0.00006439529,0.0057961424,0.0010215566,0.02279365],"genre_scores_gemma":[0.011922278,0.0035495278,0.008771902,0.029700115,0.0591138,0.00015789708,0.011021716,0.0033902586,0.87237245],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989273,0.000098543795,0.000104137594,0.00019022224,0.0005889588,0.0000907326],"domain_scores_gemma":[0.9939885,0.0006164711,0.00017242026,0.00037485457,0.0045888433,0.00025885913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010783626,0.0010978533,0.0013730786,0.0016677411,0.0023138952,0.0025796536,0.0014986714,0.0020602646,0.1083801],"category_scores_gemma":[0.013071517,0.0005733802,0.000739408,0.0017768813,0.0008559419,0.0015748012,0.0012805162,0.0032617687,0.05614082],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018159635,0.0000046112045,0.000049657876,0.00003553128,0.0000034633952,0.000041946652,0.000008730148,0.000059030957,0.000080313104,0.0005158215,0.99363,0.0055526686],"study_design_scores_gemma":[0.000020240468,0.000016098802,0.0013250014,0.00006895715,0.000017044915,0.00008104205,0.00004278733,0.00046384963,0.0006125505,0.00077476475,0.99655604,0.000021760148],"about_ca_topic_score_codex":0.07610855,"about_ca_topic_score_gemma":0.1270354,"teacher_disagreement_score":0.1083801,"about_ca_system_score_codex":0.003268145,"about_ca_system_score_gemma":0.002690313,"threshold_uncertainty_score":0.3625676},"labels":[],"label_agreement":null},{"id":"W2022129302","doi":"10.5194/bg-11-7061-2014","title":"Biogeochemistry and ecosystems of continental margins in the western North Pacific Ocean and their interactions and responses to external forcing – an overview and synthesis","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ministry of Science and Technology, Taiwan; National Science Council; National Science Foundation","keywords":"Biogeochemical cycle; Marine ecosystem; Oceanography; Biogeochemistry; Ecosystem; Continental shelf; Environmental science; Climate change; Continental margin; Geology; Ecology; Biology","score_opus":0.021230841923981593,"score_gpt":0.22793363959736954,"score_spread":0.20670279767338795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022129302","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0321404,0.95191324,0.002170409,0.0036680363,0.001254494,0.000028033553,0.0015737535,0.000082201106,0.0071695093],"genre_scores_gemma":[0.094453655,0.8962424,0.0025810448,0.0014015349,0.0021149975,0.000040679595,0.0011033128,0.00003115728,0.0020312401],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999083,0.000016385782,0.000015671607,0.00003338475,0.000017086324,0.0000091839665],"domain_scores_gemma":[0.99959177,0.00019304342,0.00008995711,0.000019985882,0.000077163226,0.000028030749],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042779127,0.00046547988,0.0007021229,0.0014875628,0.00023178032,0.0016351482,0.0002614133,0.00034182452,0.0017518221],"category_scores_gemma":[0.0005780788,0.0002194385,0.000504267,0.0031787872,0.00040217245,0.0010896906,0.0006144248,0.00070094026,0.00019664485],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022952622,0.00015627984,0.055960074,0.04972905,0.002934782,0.00053672324,0.0017632429,0.009301803,0.009563451,0.0124614155,0.045904346,0.81145936],"study_design_scores_gemma":[0.000023144843,0.00037949777,0.42704633,0.011669171,0.0024312618,0.00047535586,0.0024905785,0.0038053407,0.0012309531,0.01853431,0.53179085,0.00012327934],"about_ca_topic_score_codex":0.007947846,"about_ca_topic_score_gemma":0.016183477,"teacher_disagreement_score":0.007947846,"about_ca_system_score_codex":0.000505465,"about_ca_system_score_gemma":0.0009925384,"threshold_uncertainty_score":0.015803158},"labels":[],"label_agreement":null},{"id":"W2026521099","doi":"10.5194/bg-12-1373-2015","title":"Diatom flux reflects water-mass conditions on the southern Northwind Abyssal Plain, Arctic Ocean","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"JST-Mirai Program; Japan Agency for Marine-Earth Science and Technology; Japan Society for the Promotion of Science","keywords":"Diatom; Oceanography; Ocean gyre; Geology; Hydrography; Sea ice; Arctic; Water mass; Mesoscale meteorology; Sediment trap; Environmental science; Water column; Subtropics; Fishery","score_opus":0.02426042589018448,"score_gpt":0.22595956811844933,"score_spread":0.20169914222826485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026521099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945015,0.00002345822,0.00004355556,0.0000054084962,0.0000011628737,0.0000011048552,0.0002562418,0.0000024385886,0.00021647639],"genre_scores_gemma":[0.9991191,0.00003949578,0.00010324833,0.0000037465475,0.000002022501,0.0000022780441,0.0005247247,0.0000013057302,0.0002041307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999523,0.0000062938298,0.0000037737618,0.000014278474,0.000011908708,0.000011324421],"domain_scores_gemma":[0.9998648,0.00001589403,0.00005315652,0.0000070953606,0.00003296103,0.000025986097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012487726,0.00023220392,0.00012100946,0.00050505274,0.0002455682,0.00036556702,0.00009012024,0.00010309731,0.00051170256],"category_scores_gemma":[0.00024466586,0.00011116843,0.00012409182,0.00050224864,0.000111560184,0.00022465228,0.00018253275,0.000101505764,0.00009282247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055878154,0.000015333278,0.9920292,0.000008166035,0.000032074266,0.000048071222,0.00016038067,0.0005064288,0.00502599,0.000028143215,0.00006576876,0.0020245519],"study_design_scores_gemma":[5.665687e-7,0.0000047501953,0.9991549,0.0000011587313,0.000003953524,0.000010105396,0.000058346468,0.000506502,0.00015371559,0.000004572708,0.00010076761,7.384545e-7],"about_ca_topic_score_codex":0.08370351,"about_ca_topic_score_gemma":0.16068144,"teacher_disagreement_score":0.08370351,"about_ca_system_score_codex":0.00054325396,"about_ca_system_score_gemma":0.00028626368,"threshold_uncertainty_score":0.16643262},"labels":[],"label_agreement":null},{"id":"W2028667441","doi":"10.5194/bg-7-2749-2010","title":"Interactions between nitrogen deposition, land cover conversion, and climate change determine the contemporary carbon balance of Europe","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biome; Environmental science; Ecosystem; Deposition (geology); Terrestrial ecosystem; Atmospheric sciences; Carbon dioxide; Land cover; Carbon sequestration; Nitrogen; Forest ecology; Climate change; Ecology; Carbon fibers; Hydrology (agriculture); Land use; Chemistry; Biology; Geology","score_opus":0.015107232149395048,"score_gpt":0.21500579669724534,"score_spread":0.1998985645478503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028667441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970145,0.0005991301,0.00086625945,0.00016582101,0.000009156402,0.0000029900802,0.00020185506,0.000021497557,0.0011188209],"genre_scores_gemma":[0.9992742,0.00023088476,0.00021478199,0.00002087923,0.000004386921,0.0000017339682,0.00011086448,0.000007976854,0.00013427812],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974686,0.000105909756,0.0000186454,0.00006642318,0.000024441875,0.00003777438],"domain_scores_gemma":[0.9996295,0.00017732689,0.0000840848,0.000025484966,0.00003695628,0.000046575256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008600033,0.0005719856,0.0003147112,0.0005520646,0.0003476234,0.0014238829,0.00036484495,0.0007056631,0.00096987205],"category_scores_gemma":[0.0011208999,0.00029840478,0.00074028055,0.0007070215,0.00044866788,0.00087592535,0.00053469284,0.0002590908,0.00011205904],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017461755,0.00009112589,0.7368293,0.00010247874,0.0011189308,0.0003200489,0.000111265304,0.23847824,0.009328176,0.0033187794,0.00057442486,0.009552607],"study_design_scores_gemma":[0.000044639903,0.000076099524,0.74334073,0.00003554641,0.00031196963,0.00014195261,0.00015002137,0.24854578,0.0011670056,0.0040781614,0.0020571784,0.000050971226],"about_ca_topic_score_codex":0.019111719,"about_ca_topic_score_gemma":0.018743148,"teacher_disagreement_score":0.019111719,"about_ca_system_score_codex":0.00092995935,"about_ca_system_score_gemma":0.00043519167,"threshold_uncertainty_score":0.03800094},"labels":[],"label_agreement":null},{"id":"W2029039279","doi":"10.5194/bg-7-585-2010","title":"Dynamics and distribution of natural and human-caused hypoxia","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":1239,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration; Tampa Bay Estuary Program","keywords":"Hypoxia (environmental); Environmental science; Bottom water; Eutrophication; Population; Total organic carbon; Upwelling; Anoxic waters; Ecology; Nutrient; Oxygen; Oceanography; Biology; Geology; Chemistry","score_opus":0.007399229915885583,"score_gpt":0.20167073690917206,"score_spread":0.1942715069932865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029039279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654704,0.0004185402,0.000120149874,0.00011122416,0.00000642562,0.0000070986084,0.0011021136,0.000010775995,0.0016765511],"genre_scores_gemma":[0.9992494,0.00010672272,0.000043731427,0.0000079654055,0.000007800063,0.0000038956955,0.00030545023,0.0000011950758,0.00027380406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998467,0.000029031278,0.000015090386,0.00004069725,0.000025764355,0.000042641565],"domain_scores_gemma":[0.9994124,0.00005309995,0.00026684356,0.000019083576,0.00011867284,0.00012983134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018497671,0.00006189607,0.000090375135,0.000926001,0.00019484044,0.00041636784,0.00020777153,0.00019904131,0.0026129098],"category_scores_gemma":[0.0005612449,0.00007370223,0.00010284153,0.0007921213,0.0003746379,0.00026954905,0.00040790564,0.000113729984,0.0002468746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014422968,0.000016193528,0.9880983,0.000044690878,0.00003839262,0.00012504413,0.00033999857,0.00021811474,0.0011738393,0.00035657224,0.00053819467,0.008906489],"study_design_scores_gemma":[0.0000013284841,0.000025269086,0.998806,0.000004968059,0.0000025040122,0.00010269803,0.00022857246,0.00022765418,0.000061846804,0.00004896817,0.0004878036,0.0000023421123],"about_ca_topic_score_codex":0.0077964175,"about_ca_topic_score_gemma":0.012727446,"teacher_disagreement_score":0.0077964175,"about_ca_system_score_codex":0.0004887536,"about_ca_system_score_gemma":0.00030059458,"threshold_uncertainty_score":0.015502036},"labels":[],"label_agreement":null},{"id":"W2034294618","doi":"10.5194/bg-2-87-2005","title":"The carbon budget of the North Sea","year":2005,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":179,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Texel (Canada); Dalhousie University","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Services Fédéraux des Affaires Scientifiques, Techniques et Culturelles; Fonds De La Recherche Scientifique - FNRS; European Commission","keywords":"Oceanography; Carbon sink; Continental shelf; Carbon cycle; Environmental science; Sink (geography); Carbon fibers; Thermohaline circulation; Geology; Climate change; Geography; Ecosystem; Ecology","score_opus":0.00823702188081623,"score_gpt":0.18075670393637436,"score_spread":0.17251968205555812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2034294618","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3208015,0.13287738,0.006181775,0.015960868,0.0019375419,0.00005905178,0.056755837,0.0006799291,0.46474612],"genre_scores_gemma":[0.86685646,0.047120478,0.0045804884,0.0013103571,0.0003668518,0.00004262015,0.014994878,0.00015060867,0.06457727],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99994504,0.000006492604,0.0000041372036,0.000014867419,0.000024230303,0.0000052811993],"domain_scores_gemma":[0.99993503,0.0000055480855,0.000009051686,0.0000056339345,0.000036250243,0.000008544463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013684413,0.00025053672,0.00012638404,0.0004097436,0.00020798839,0.0009765001,0.00009260869,0.00017403896,0.0061270455],"category_scores_gemma":[0.00018518743,0.0000646346,0.00009156932,0.00102238,0.00017954252,0.0006034255,0.00029042212,0.0002208684,0.0014079865],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035426603,0.00004303965,0.09505779,0.002077787,0.00042537047,0.00045260202,0.00064286595,0.017926328,0.025214683,0.101786405,0.11863073,0.63738805],"study_design_scores_gemma":[0.00002419083,0.000029950359,0.117121495,0.00061872916,0.000091167516,0.0002843601,0.00022457652,0.0024141858,0.0029899094,0.019488264,0.8566848,0.000028271375],"about_ca_topic_score_codex":0.021750866,"about_ca_topic_score_gemma":0.018783793,"teacher_disagreement_score":0.021750866,"about_ca_system_score_codex":0.0008338328,"about_ca_system_score_gemma":0.0010152013,"threshold_uncertainty_score":0.043248534},"labels":[],"label_agreement":null},{"id":"W2037038415","doi":"10.5194/bg-10-5311-2013","title":"Nested atmospheric inversion for the terrestrial carbon sources and sinks in China","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; National Natural Science Foundation of China","keywords":"Carbon sink; Environmental science; Climatology; Carbon cycle; Sink (geography); Atmospheric sciences; China; Terrestrial ecosystem; Geography; Climate change; Ecosystem; Geology; Oceanography; Ecology; Biology","score_opus":0.006442790025974033,"score_gpt":0.18762706723798378,"score_spread":0.18118427721200975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037038415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87900007,0.000093557006,0.11762666,0.00009445233,0.000025556556,0.000032119857,0.0008485175,0.00048127136,0.0017977958],"genre_scores_gemma":[0.9687442,0.00002048883,0.030104673,0.000017070573,0.000005479454,0.00001700099,0.00077851274,0.000025080468,0.00028746136],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985313,0.000031979504,0.000008117247,0.00005096658,0.000035749865,0.000020090762],"domain_scores_gemma":[0.9998235,0.000031465635,0.000034499233,0.000025232186,0.00005666575,0.00002877893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042876296,0.00035550844,0.00023533408,0.0003555991,0.00032605042,0.00028794023,0.0006001004,0.00020373269,0.00039202775],"category_scores_gemma":[0.0008214978,0.0002477376,0.0004490354,0.00036833287,0.00022278205,0.00044179484,0.00050378125,0.00029135784,0.000058997695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014479687,0.00016171939,0.12539074,0.00005120593,0.00022516325,0.00020327147,0.00018768797,0.80038595,0.026338028,0.005842416,0.001206353,0.039862722],"study_design_scores_gemma":[0.000010793808,0.000004744968,0.005639891,9.0352944e-7,0.000008045041,0.0000042091397,0.0000071884024,0.99307644,0.000576208,0.00046777035,0.00019879783,0.0000050407953],"about_ca_topic_score_codex":0.080138646,"about_ca_topic_score_gemma":0.07852285,"teacher_disagreement_score":0.080138646,"about_ca_system_score_codex":0.0006888661,"about_ca_system_score_gemma":0.0017209281,"threshold_uncertainty_score":0.15934438},"labels":[],"label_agreement":null},{"id":"W2038731111","doi":"10.5194/bg-9-3475-2012","title":"Corrigendum to &amp;quot;Photoproduction of ammonium in the southeastern Beaufort Sea and its biogeochemical implications&amp;quot; published in Biogeosciences, 9, 3047–3061, 2012","year":2012,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"","keywords":"Biogeochemical cycle; Ammonium; Oceanography; Chemistry; Biology; Ecology; Geology","score_opus":0.037055272962438525,"score_gpt":0.24238681511263716,"score_spread":0.20533154215019864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038731111","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002817594,0.0018241494,0.0004876721,0.031934433,0.9435942,0.00004522775,0.0010285598,0.0002885578,0.020515542],"genre_scores_gemma":[0.007978696,0.005272135,0.001916618,0.033422925,0.12584284,0.0001223547,0.0018305074,0.0006561281,0.8229578],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990706,0.000096956945,0.00012569845,0.0001637659,0.00043645673,0.000106589105],"domain_scores_gemma":[0.99345326,0.000765394,0.00028126678,0.00039938954,0.0046464,0.00045425768],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010833751,0.0012660247,0.0016172526,0.002183749,0.0026062536,0.0027499122,0.0014765658,0.0027597817,0.13256057],"category_scores_gemma":[0.0110196285,0.00062357844,0.0009028272,0.0019000998,0.001067649,0.0014263918,0.0011845862,0.0029890395,0.057074938],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025077788,0.000007416346,0.000061182174,0.00008783253,0.0000029500636,0.00008016187,0.000008714156,0.000041995107,0.0000926958,0.00039229382,0.9899843,0.009215372],"study_design_scores_gemma":[0.000016399641,0.000034056568,0.0017641891,0.00012710625,0.000012844171,0.000112854155,0.000052689073,0.00020664226,0.0003244571,0.0006262896,0.9967043,0.00001818614],"about_ca_topic_score_codex":0.03575856,"about_ca_topic_score_gemma":0.06057823,"teacher_disagreement_score":0.13256057,"about_ca_system_score_codex":0.0033605176,"about_ca_system_score_gemma":0.0025401637,"threshold_uncertainty_score":0.44345927},"labels":[],"label_agreement":null},{"id":"W2039568707","doi":"10.5194/bg-8-1881-2011","title":"A coupled physical-biological model of the Northern Gulf of Mexico shelf: model description, validation and analysis of phytoplankton variability","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration; U.S. Department of the Interior","keywords":"Phytoplankton; Environmental science; Eutrophication; Oceanography; Nutrient; Biomass (ecology); Sink (geography); Organic matter; Plume; Algal bloom; Primary producers; Hypoxia (environmental); Ecology; Geology; Biology; Geography","score_opus":0.04210119534969205,"score_gpt":0.21205560602767223,"score_spread":0.16995441067798017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039568707","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98431706,0.00014393173,0.008659136,0.00034654132,0.000024986597,0.000058614583,0.0013409222,0.00012763566,0.0049812254],"genre_scores_gemma":[0.9950836,0.00006988557,0.0027808973,0.000044121825,0.000008687548,0.00011645458,0.00051125797,0.000018055829,0.0013670879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998909,0.000034107343,0.0000068042377,0.000030797524,0.000015227876,0.000022137694],"domain_scores_gemma":[0.99946254,0.00028132863,0.00008358286,0.00003195214,0.00009433759,0.000046175966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037390666,0.00068422256,0.00060365966,0.00043390112,0.0008024777,0.0011613126,0.0012622054,0.0018375892,0.0017834693],"category_scores_gemma":[0.0012177073,0.0004368671,0.0007438864,0.00047727142,0.0007633163,0.00049666944,0.0008410665,0.00083161774,0.00015627593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038293885,0.000026831649,0.0044346214,0.0000121152925,0.000019385345,0.00005314699,0.00002137091,0.99415696,0.00035994282,0.0003851156,0.000096765114,0.00039543165],"study_design_scores_gemma":[0.000020109183,0.000017163966,0.0015680176,0.0000025985034,0.0000074494146,0.0000048140682,0.000018312185,0.99806875,0.000078026285,0.00009773808,0.00011256947,0.000004501872],"about_ca_topic_score_codex":0.122880146,"about_ca_topic_score_gemma":0.048413105,"teacher_disagreement_score":0.122880146,"about_ca_system_score_codex":0.0021016202,"about_ca_system_score_gemma":0.0015087295,"threshold_uncertainty_score":0.24432981},"labels":[],"label_agreement":null},{"id":"W2040495313","doi":"10.5194/bg-9-593-2012","title":"Effect of mosaic representation of vegetation in land surface schemes on simulated energy and carbon balances","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Environmental science; Vegetation (pathology); Primary production; Energy balance; Biomass (ecology); Atmospheric sciences; Ecosystem; Carbon fibers; Carbon cycle; Mosaic; Leaf area index; Soil science; Hydrology (agriculture); Ecology; Geology; Mathematics; Composite number; Geography; Algorithm; Biology","score_opus":0.006447877195520206,"score_gpt":0.22977590339962994,"score_spread":0.22332802620410974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040495313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98476046,0.000097526834,0.01285538,0.000087141474,0.000040886738,0.000036992027,0.00025764146,0.0002387646,0.0016252954],"genre_scores_gemma":[0.99461854,0.00003159909,0.0050299712,0.000022760169,0.0000029291027,0.000017458382,0.00013049744,0.00002004934,0.00012610019],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999548,0.00023266926,0.000029251656,0.000060172206,0.000063379775,0.00006649033],"domain_scores_gemma":[0.9981592,0.0010419651,0.00016415057,0.0002319508,0.00024603854,0.00015660294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016343622,0.0003841866,0.0005831151,0.00032723875,0.00036234126,0.0009270479,0.0005191495,0.0005811908,0.0007859239],"category_scores_gemma":[0.0047072126,0.00033718612,0.00053654634,0.0005639123,0.00053233176,0.0007240957,0.00058475276,0.00045494127,0.00009652784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025412175,0.000051267634,0.008263213,0.000017794328,0.00004340989,0.000030224348,0.000025669864,0.9860577,0.0016077692,0.0006496127,0.000095575066,0.0029035555],"study_design_scores_gemma":[0.000041711355,0.00011271317,0.0019437193,0.0000059373665,0.000019529445,0.0000076225233,0.000025255198,0.99658763,0.00083695725,0.00024986605,0.00016142784,0.000007606075],"about_ca_topic_score_codex":0.014478111,"about_ca_topic_score_gemma":0.010667371,"teacher_disagreement_score":0.014478111,"about_ca_system_score_codex":0.0008653459,"about_ca_system_score_gemma":0.00064670754,"threshold_uncertainty_score":0.028787673},"labels":[],"label_agreement":null},{"id":"W2041775464","doi":"10.5194/bg-5-1101-2008","title":"Calcite production by coccolithophores in the south east Pacific Ocean","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":108,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; National Aeronautics and Space Administration","keywords":"Coccolith; Emiliania huxleyi; Oceanography; Calcite; Photic zone; Coccolithophore; Upwelling; Geology; Carbonate; Benthic zone; Biological pump; Phytoplankton; Mineralogy; Biology; Chemistry; Ecology; Nutrient","score_opus":0.017922924744147986,"score_gpt":0.19035638355204934,"score_spread":0.17243345880790134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041775464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906605,0.000115393625,0.0000254487,0.000008235065,0.0000011969859,0.000003262694,0.0001833885,0.0000019599336,0.000595121],"genre_scores_gemma":[0.99884254,0.00017704422,0.00011256986,0.000010759017,0.0000027520093,0.000005498088,0.00042283663,0.000002040372,0.00042390116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999362,0.000005543311,0.0000042532974,0.000022537333,0.00001976124,0.000011606404],"domain_scores_gemma":[0.99981445,0.000022085162,0.00005094386,0.0000070231863,0.00006112977,0.00004443915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000087794775,0.0002971052,0.00016738137,0.0008904795,0.0004040961,0.00047497152,0.00014435632,0.000141451,0.0009620778],"category_scores_gemma":[0.00025802903,0.00016732089,0.000116339696,0.0008438363,0.00025847126,0.0002279407,0.00037956977,0.00014628502,0.00016179524],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009564859,0.00001696662,0.97036517,0.000039491788,0.000033487486,0.00013873455,0.0004248003,0.000070809234,0.023501161,0.000014964966,0.00006266844,0.0052360776],"study_design_scores_gemma":[0.0000016584451,0.000013138556,0.9992692,0.0000023433595,0.0000045926104,0.000024228086,0.00022714309,0.000062181316,0.00023045464,0.000003016777,0.0001610744,9.5197805e-7],"about_ca_topic_score_codex":0.06223975,"about_ca_topic_score_gemma":0.11727427,"teacher_disagreement_score":0.06223975,"about_ca_system_score_codex":0.0003704996,"about_ca_system_score_gemma":0.00031091477,"threshold_uncertainty_score":0.12375498},"labels":[],"label_agreement":null},{"id":"W2041894266","doi":"10.5194/bg-11-5987-2014","title":"Biophsyical constraints on gross primary production by the terrestrial biosphere","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Oak Ridge National Laboratory; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; National Science Foundation; Imperial College London; Microsoft Research; Natural Resources Canada; Université Laval; U.S. Department of Energy","keywords":"Primary production; Biosphere; Environmental science; Photosynthetically active radiation; Atmospheric sciences; Terrestrial ecosystem; Carbon cycle; Biosphere model; Climatology; Temperate climate; Water cycle; Boreal; Vegetation (pathology); Ecosystem; Photosynthesis; Ecology; Biology","score_opus":0.008336771181631,"score_gpt":0.19857025187657032,"score_spread":0.1902334806949393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041894266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7481548,0.002361587,0.1720214,0.0032818248,0.00014448536,0.000026462065,0.0015716566,0.00030011585,0.07213765],"genre_scores_gemma":[0.99481887,0.00036052064,0.0028508764,0.00007290135,0.000026334694,0.000017935525,0.00017264712,0.000026016569,0.0016540142],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998795,0.000031428353,0.000005054812,0.000026284924,0.00003807846,0.000019719344],"domain_scores_gemma":[0.9996437,0.00020470294,0.00003905457,0.000038743292,0.00004450943,0.00002923931],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030604724,0.00035921094,0.0002699199,0.00020649747,0.00025542566,0.00083915563,0.00027594,0.00034236084,0.003628468],"category_scores_gemma":[0.001091253,0.00015658142,0.00027222987,0.00019196156,0.0006591703,0.0007857026,0.0004925928,0.0005007777,0.00048786757],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079470185,0.00006220707,0.013036988,0.00017298722,0.00006724438,0.0002897089,0.0000784607,0.66267055,0.028785627,0.27117068,0.0023197166,0.021266373],"study_design_scores_gemma":[0.000029032191,0.0000478848,0.022676593,0.000036156827,0.000020143794,0.00014159479,0.000057301313,0.70452267,0.0035321498,0.26223284,0.006677213,0.000026454438],"about_ca_topic_score_codex":0.002844033,"about_ca_topic_score_gemma":0.0027744502,"teacher_disagreement_score":0.003628468,"about_ca_system_score_codex":0.0007722574,"about_ca_system_score_gemma":0.000556733,"threshold_uncertainty_score":0.012138426},"labels":[],"label_agreement":null},{"id":"W2044487581","doi":"10.5194/bg-10-4465-2013","title":"Seasonal dynamics of methane emissions from a subarctic fen in the Hudson Bay Lowlands","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Churchill Northern Studies Centre; ArcticNet","keywords":"Subarctic climate; Environmental science; Peat; Eddy covariance; Growing season; Spring (device); Atmospheric sciences; Hydrology (agriculture); Water table; Bay; Mire; Ecosystem; Groundwater; Ecology; Geology; Oceanography","score_opus":0.010845922553949932,"score_gpt":0.22982094113040885,"score_spread":0.21897501857645893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044487581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997292,0.000026375157,0.000014636049,0.000010179135,7.371742e-7,0.0000010039548,0.00012436145,0.0000017153812,0.000091729875],"genre_scores_gemma":[0.9994893,0.000032600616,0.0000641786,0.00000958908,0.0000014272576,0.0000031366312,0.00019404985,7.760657e-7,0.00020493794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992657,0.00000847602,0.0000044812687,0.000021338728,0.000014871383,0.000024230894],"domain_scores_gemma":[0.99965346,0.000049668644,0.00008465649,0.000012988387,0.000093786926,0.00010543289],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022326283,0.00017791486,0.00019111433,0.0005999689,0.0004025587,0.00049677433,0.00025969621,0.00016821608,0.0005823386],"category_scores_gemma":[0.0003084204,0.00012511207,0.00011237738,0.0004973109,0.0003058285,0.00018500458,0.00033537156,0.00017673284,0.00006610785],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000776563,0.000020863989,0.99447733,0.00001115333,0.000023329463,0.00013160516,0.00032003838,0.00016837759,0.002522293,0.00001084478,0.0000912755,0.002145224],"study_design_scores_gemma":[0.0000010078404,0.0000056575795,0.99945897,0.0000019795475,0.0000034231412,0.000009827458,0.00020482874,0.00013661633,0.00009916043,0.000002238044,0.00007529403,0.0000010556197],"about_ca_topic_score_codex":0.46611515,"about_ca_topic_score_gemma":0.69689816,"teacher_disagreement_score":0.5338849,"about_ca_system_score_codex":0.0020949796,"about_ca_system_score_gemma":0.000991769,"threshold_uncertainty_score":0.9268041},"labels":[],"label_agreement":null},{"id":"W2044489694","doi":"10.5194/bg-11-3131-2014","title":"A synthesis of light absorption properties of the Arctic Ocean: application to semianalytical estimates of dissolved organic carbon concentrations from space","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Takuvik Joint International Laboratory; Université Laval","funders":"","keywords":"Colored dissolved organic matter; Arctic; Absorption (acoustics); Dissolved organic carbon; Ocean color; Phytoplankton; Environmental science; Total organic carbon; Chlorophyll a; Oceanography; Carbon cycle; Chemistry; Climatology; Atmospheric sciences; Environmental chemistry; Geology; Physics; Satellite; Optics; Ecology; Biology","score_opus":0.008061582834330646,"score_gpt":0.1811437968071739,"score_spread":0.17308221397284326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044489694","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.085101426,0.0010281558,0.9040281,0.00007353516,0.00013800894,0.00014151419,0.0024969096,0.00472092,0.002271425],"genre_scores_gemma":[0.25258318,0.001031187,0.7401494,0.000028073826,0.00006342235,0.00021337642,0.004496486,0.00034836086,0.0010865217],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976283,0.000035722573,0.000029618554,0.0000689104,0.0000857056,0.000017157327],"domain_scores_gemma":[0.99933064,0.00018522574,0.0000674267,0.000076869364,0.0003114783,0.000028358003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090520584,0.0009566056,0.0006318285,0.0026066664,0.00050631654,0.0012030303,0.00050069415,0.00035653447,0.001987636],"category_scores_gemma":[0.00223663,0.00040112567,0.0013636436,0.0021803386,0.00023980024,0.00067426794,0.0006960257,0.00043431763,0.0009302314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029782904,0.00019070286,0.014113409,0.0012684617,0.0003609703,0.0003740415,0.00040995068,0.10229464,0.24828197,0.0040370603,0.0027238675,0.6256471],"study_design_scores_gemma":[0.000049220787,0.00014928055,0.027618904,0.00008859294,0.0002510012,0.0002684934,0.00018265378,0.868452,0.08253651,0.0042980355,0.015984155,0.00012113411],"about_ca_topic_score_codex":0.008477816,"about_ca_topic_score_gemma":0.005771093,"teacher_disagreement_score":0.008477816,"about_ca_system_score_codex":0.00039689234,"about_ca_system_score_gemma":0.0010156013,"threshold_uncertainty_score":0.016856909},"labels":[],"label_agreement":null},{"id":"W2045956876","doi":"10.5194/bg-11-2939-2014","title":"Examination of the role of the microbial loop in regulating lake nutrient stoichiometry and phytoplankton dynamics","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Scholarship Council; Global Lake Ecological Observatory Network; National Science Foundation","keywords":"Phytoplankton; Microbial loop; Nutrient; Abiotic component; Biomass (ecology); Nutrient cycle; Ecosystem; Trophic level; Environmental chemistry; Bacterioplankton; Plankton; Phosphorus; Dissolved organic carbon; Environmental science; Ecology; Primary producers; Ecological stoichiometry; Organic matter; Redfield ratio; Biology; Chemistry","score_opus":0.004589779354054031,"score_gpt":0.16795590353407094,"score_spread":0.16336612418001692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045956876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988207,0.000014955049,0.0007352237,0.000020427722,0.000001751088,0.000003482607,0.000036520338,0.000011677901,0.00035512433],"genre_scores_gemma":[0.9996791,0.000009141017,0.0002046009,0.0000032933465,4.4742436e-7,0.0000037293848,0.000021628728,0.0000016313575,0.00007656694],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99995124,0.00001339872,0.0000031127636,0.000012810802,0.000007675241,0.000011806367],"domain_scores_gemma":[0.99984217,0.00007575441,0.000021294481,0.0000099917515,0.000026469486,0.000024296784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017762688,0.00027735162,0.00025446116,0.00014137778,0.00023245688,0.00050718844,0.0002851599,0.00036970136,0.0009726042],"category_scores_gemma":[0.00047858752,0.00019681273,0.0003026815,0.0001142755,0.00032844176,0.00037986663,0.0004467244,0.00023183668,0.000060483846],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041825062,0.00014749172,0.13101836,0.00012861783,0.000146205,0.00037128103,0.00017067343,0.768877,0.09175557,0.0016907622,0.00019301323,0.0050828094],"study_design_scores_gemma":[0.00006196256,0.00018654377,0.020952055,0.0000051179354,0.000033502627,0.000024919133,0.000088610184,0.97235686,0.005647849,0.0004777379,0.00015158455,0.000013325765],"about_ca_topic_score_codex":0.011406444,"about_ca_topic_score_gemma":0.0069014984,"teacher_disagreement_score":0.011406444,"about_ca_system_score_codex":0.000784565,"about_ca_system_score_gemma":0.00059409277,"threshold_uncertainty_score":0.022680104},"labels":[],"label_agreement":null},{"id":"W2046308757","doi":"10.5194/bg-10-4273-2013","title":"Upper Arctic Ocean water masses harbor distinct communities of heterotrophic flagellates","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Takuvik Joint International Laboratory","funders":"Institut national des sciences de l'Univers; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; ArcticNet; European Space Agency; Compute Canada","keywords":"Water mass; Water column; Oceanography; Pelagic zone; Arctic; Biogeochemical cycle; Phytoplankton; Environmental science; Ecology; Chlorophyll a; Phylogenetic diversity; Biology; Nutrient; Phylogenetic tree; Geology","score_opus":0.012963553841163006,"score_gpt":0.2097056438525498,"score_spread":0.1967420900113868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046308757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983367,0.000345575,0.0001369999,0.000013678507,0.0000042083398,0.000006534354,0.00056064123,0.000007805613,0.0005878698],"genre_scores_gemma":[0.99797887,0.00023932388,0.0005092905,0.0000346359,0.000006720061,0.000009384225,0.00075554167,0.0000025324834,0.000463732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984634,0.000009383422,0.000007770382,0.00004753612,0.000040006755,0.00004892567],"domain_scores_gemma":[0.99981695,0.000018239298,0.000053783613,0.0000074100058,0.000062990875,0.00004060606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011554402,0.00033505613,0.00028626804,0.0008412391,0.00093731104,0.0005527017,0.00015029029,0.00018599737,0.00057856104],"category_scores_gemma":[0.00019041695,0.00014223397,0.00020662944,0.00079498795,0.0002487947,0.00019908913,0.00040539692,0.00014546575,0.00014919342],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026457358,0.00002809178,0.8007682,0.000109769164,0.00008126758,0.000117947086,0.0016354108,0.00017228712,0.18435295,0.00008000902,0.00018744373,0.012202042],"study_design_scores_gemma":[0.0000014721359,0.000042282514,0.99709225,0.0000064651845,0.0000103885595,0.000046331203,0.0006059732,0.00014093256,0.0015401464,0.000012937529,0.0004969321,0.0000038470566],"about_ca_topic_score_codex":0.09764398,"about_ca_topic_score_gemma":0.1618312,"teacher_disagreement_score":0.09764398,"about_ca_system_score_codex":0.0005126101,"about_ca_system_score_gemma":0.0005762497,"threshold_uncertainty_score":0.19415122},"labels":[],"label_agreement":null},{"id":"W2047070116","doi":"10.5194/bg-4-297-2007","title":"The \"neutral\" community structure of planktonic herbivores, tintinnid ciliates of the microzooplankton, across the SE Tropical Pacific Ocean","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Plankton; Phytoplankton; Biology; Abundance (ecology); Chlorophyll a; Ecology; Species diversity; Biomass (ecology); Water column; Zooplankton; Transect; Oceanography; Botany; Nutrient","score_opus":0.012241467877944457,"score_gpt":0.22489876786705926,"score_spread":0.2126572999891148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047070116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997991,0.000028325769,0.000028471011,0.0000032993314,2.747764e-7,0.0000011944238,0.00004200326,5.572658e-7,0.00009695319],"genre_scores_gemma":[0.9996288,0.000050063456,0.000053101823,0.000006848585,9.1696865e-7,0.00000329401,0.00012463,5.082668e-7,0.00013195224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992,0.000014449418,0.0000079482525,0.000028747147,0.000014749774,0.000014072105],"domain_scores_gemma":[0.9996105,0.000049515165,0.00013500151,0.000021480048,0.00009925087,0.00008428399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020384735,0.00016896454,0.000155211,0.00070906134,0.00037273645,0.00042530097,0.000166022,0.00015622796,0.0007915994],"category_scores_gemma":[0.00058986037,0.00015807465,0.00012915544,0.0005177603,0.00039121165,0.00039934478,0.00043527028,0.000109186076,0.00009185644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002888846,0.0000064141955,0.99176955,0.000023313292,0.000039406805,0.00004253904,0.00056144386,0.000069886315,0.0054809055,0.000017754113,0.000024547731,0.0019353426],"study_design_scores_gemma":[7.1588346e-7,0.000015174019,0.99943894,0.0000021931558,0.000003858215,0.000026303378,0.00032751652,0.00007412529,0.000055660683,0.000005596885,0.00004910712,7.8776185e-7],"about_ca_topic_score_codex":0.018327918,"about_ca_topic_score_gemma":0.04892402,"teacher_disagreement_score":0.018327918,"about_ca_system_score_codex":0.0003436848,"about_ca_system_score_gemma":0.00025651732,"threshold_uncertainty_score":0.03644246},"labels":[],"label_agreement":null},{"id":"W2051804317","doi":"10.5194/bg-6-1027-2009","title":"Precipitation as driver of carbon fluxes in 11 African ecosystems","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":184,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; Max-Planck-Gesellschaft; National Science Foundation","keywords":"Eddy covariance; Environmental science; Ecosystem respiration; Ecosystem; Vapour Pressure Deficit; Photosynthesis; Atmospheric sciences; Hydrology (agriculture); Ecology; Transpiration; Biology; Botany; Geology","score_opus":0.006914096893928602,"score_gpt":0.20456597609824445,"score_spread":0.19765187920431584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2051804317","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972767,0.000059639035,0.000029016586,0.0000051212332,4.8666584e-7,8.529782e-7,0.000090220055,0.0000012078006,0.000085656095],"genre_scores_gemma":[0.9997273,0.000053789256,0.000073357245,0.0000018300655,0.0000012184158,0.0000016672888,0.00011391573,6.763047e-7,0.000026296095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999063,0.000026934342,0.000008055688,0.000020212714,0.00000974784,0.00002868415],"domain_scores_gemma":[0.9997719,0.000081938204,0.00007410764,0.000011336554,0.0000353091,0.000025448278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026213756,0.0002214567,0.00019659367,0.0006934267,0.0004071407,0.0005628223,0.00012114478,0.00016355218,0.00037647542],"category_scores_gemma":[0.0006058493,0.00015125351,0.00014807124,0.0009747748,0.00020127535,0.0004347432,0.00033987223,0.00011212466,0.000033299508],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009731972,0.000015057217,0.9894756,0.000031406187,0.000046282108,0.00015190653,0.00027842724,0.00096821523,0.0037779529,0.00007809396,0.000044950917,0.005034874],"study_design_scores_gemma":[0.000002512518,0.0000132221285,0.9974808,0.0000052264595,0.000013194945,0.00005054195,0.0002495937,0.0014921613,0.00041793336,0.000034297027,0.00023754853,0.0000029361318],"about_ca_topic_score_codex":0.011767551,"about_ca_topic_score_gemma":0.01852001,"teacher_disagreement_score":0.011767551,"about_ca_system_score_codex":0.00047974035,"about_ca_system_score_gemma":0.00022760105,"threshold_uncertainty_score":0.023398161},"labels":[],"label_agreement":null},{"id":"W2052580213","doi":"10.5194/bg-7-1043-2010","title":"Regional impacts of iron-light colimitation in a global biogeochemical model","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":208,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Biogeochemical cycle; Biogeochemistry; Photosynthesis; Phytoplankton; Environmental science; Nutrient; Iron fertilization; Ecosystem; Photosynthetic efficiency; Oceanography; Atmospheric sciences; Ecology; Biology; Geology; Botany","score_opus":0.015453349250163818,"score_gpt":0.22528110098031306,"score_spread":0.20982775173014925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052580213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98305905,0.00015463297,0.010087853,0.0007417192,0.000038540704,0.000024097762,0.00063854177,0.0001829856,0.005072527],"genre_scores_gemma":[0.99531245,0.00009200385,0.0029427295,0.0000957019,0.000009590688,0.000029873296,0.00027248872,0.000044050823,0.0012010745],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988914,0.00003996812,0.000004575492,0.000033952867,0.000009972477,0.000022349444],"domain_scores_gemma":[0.99970585,0.00012430818,0.000046006615,0.00002368877,0.00004056439,0.000059630853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038226822,0.00072520337,0.0006130227,0.00032923554,0.0004444687,0.0011774573,0.00090916635,0.001588101,0.0014563133],"category_scores_gemma":[0.0009897985,0.00042282723,0.0008588994,0.00032706192,0.00078714447,0.00077591796,0.0011750975,0.0007461683,0.00014028842],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042079948,0.000021527947,0.0040458404,0.000009243756,0.0000238614,0.000059752656,0.0000119795595,0.992963,0.001088403,0.0011988634,0.00011529032,0.00042012206],"study_design_scores_gemma":[0.00003869547,0.000026236907,0.0010767943,0.000002168725,0.000012212563,0.000006028069,0.000012899382,0.9979938,0.00013598509,0.0005171726,0.0001711945,0.0000069196376],"about_ca_topic_score_codex":0.053852078,"about_ca_topic_score_gemma":0.023235502,"teacher_disagreement_score":0.053852078,"about_ca_system_score_codex":0.0017699635,"about_ca_system_score_gemma":0.001065727,"threshold_uncertainty_score":0.10707724},"labels":[],"label_agreement":null},{"id":"W2052989259","doi":"10.5194/bg-5-1669-2008","title":"Temporal variability of the anthropogenic CO <sub>2</sub> storage in the Irminger Sea","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Consejo Superior de Investigaciones Científicas; Centre National de la Recherche Scientifique; European Commission; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Ocean gyre; North Atlantic oscillation; Oceanography; Sink (geography); Seawater; Environmental science; Stratification (seeds); Climatology; Geology; Fishery; Geography; Biology; Subtropics","score_opus":0.021076951698284153,"score_gpt":0.23441902484870397,"score_spread":0.2133420731504198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052989259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989073,0.000077697834,0.000026554011,0.000014549108,0.0000014461383,0.0000010549243,0.00046267294,0.000009083168,0.0004997094],"genre_scores_gemma":[0.9987606,0.00008405979,0.000056460594,0.000009845959,0.0000058346,0.0000046170453,0.000671688,0.000003867956,0.00040307123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995255,0.0000054300576,0.000004652883,0.000016391914,0.000009299657,0.0000116708825],"domain_scores_gemma":[0.99972576,0.000020106296,0.00014213886,0.00002405619,0.00006336977,0.000024444857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001648998,0.00017428042,0.00013435914,0.0005730204,0.0001162899,0.0003029815,0.00013964738,0.00012819802,0.0011721469],"category_scores_gemma":[0.00029341647,0.000076467004,0.00013257047,0.00057825545,0.0001389221,0.00027026856,0.00027358835,0.00014168197,0.00033006902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041799623,0.000041502957,0.960825,0.00006199311,0.00015362639,0.00019144727,0.00054330216,0.0010600251,0.012721386,0.00011729116,0.0009696258,0.022896884],"study_design_scores_gemma":[6.7410986e-7,0.000015052618,0.9991359,0.0000022516685,0.000006143002,0.00001627393,0.00003813384,0.00016054594,0.00034226745,0.000006192009,0.0002743286,0.0000023402263],"about_ca_topic_score_codex":0.01124875,"about_ca_topic_score_gemma":0.01754424,"teacher_disagreement_score":0.01124875,"about_ca_system_score_codex":0.00039320547,"about_ca_system_score_gemma":0.00013510235,"threshold_uncertainty_score":0.022366524},"labels":[],"label_agreement":null},{"id":"W2054221465","doi":"10.5194/bg-8-999-2011","title":"Identification of a general light use efficiency model for gross primary production","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Oak Ridge National Laboratory; University of Manitoba; Manitoba Medical Service Foundation","keywords":"Eddy covariance; FluxNet; Primary production; Environmental science; Covariance; Forcing (mathematics); Radiative forcing; Atmospheric sciences; Range (aeronautics); Scale (ratio); Climatology; Meteorology; Mathematics; Econometrics; Statistics; Ecosystem; Ecology; Geography","score_opus":0.024359730112856453,"score_gpt":0.21271199067606347,"score_spread":0.18835226056320703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054221465","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22554731,0.00015311144,0.7670127,0.00022032871,0.000019098115,0.000108751745,0.0006879392,0.00040006902,0.0058506206],"genre_scores_gemma":[0.9607691,0.00011055283,0.033467136,0.000036972473,0.000011742339,0.00025173524,0.0006622936,0.000101219935,0.004589134],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998286,0.0000447961,0.000008060119,0.00006596926,0.000029463887,0.000023114497],"domain_scores_gemma":[0.99978405,0.00011489085,0.000037186794,0.0000134081865,0.000036427107,0.0000140278535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065295584,0.00052460784,0.00046289386,0.00031755722,0.00021818567,0.00068936514,0.0008335627,0.0006011027,0.0012940064],"category_scores_gemma":[0.0009673656,0.00041380082,0.0008763874,0.00032959544,0.000426113,0.00082737405,0.0004347001,0.0005239702,0.0003410981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008664207,0.000013254472,0.00068989134,0.000013640048,0.000013867722,0.000017835195,0.000014031431,0.9933683,0.001512112,0.0023051875,0.00010247974,0.0019407757],"study_design_scores_gemma":[0.000002871603,0.000004260971,0.0003792411,0.00000100232,0.0000023507093,0.0000042901006,0.0000028333666,0.99824023,0.00013519834,0.001118082,0.00010736488,0.000002257617],"about_ca_topic_score_codex":0.009367915,"about_ca_topic_score_gemma":0.0075133285,"teacher_disagreement_score":0.009367915,"about_ca_system_score_codex":0.0010425642,"about_ca_system_score_gemma":0.0012005309,"threshold_uncertainty_score":0.01862675},"labels":[],"label_agreement":null},{"id":"W2056192803","doi":"10.5194/bg-10-4627-2013","title":"Increased soil temperature and atmospheric N deposition have no effect on the N status and growth of a mature balsam fir forest","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Université du Québec à Chicoutimi; Ministère des Ressources naturelles et des Forêts (Québec); McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Balsam; Mineralization (soil science); Growing season; Q10; Environmental science; Soil pH; Animal science; Taiga; Ammonium; Deposition (geology); Soil water; Environmental chemistry; Chemistry; Agronomy; Horticulture; Ecology; Botany; Soil science; Biology","score_opus":0.004865029308720271,"score_gpt":0.18093237056947895,"score_spread":0.17606734126075868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056192803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991591,0.00008630777,0.000067762296,0.000013643285,0.000007101519,0.000012955967,0.0002975905,0.000007537743,0.00034807454],"genre_scores_gemma":[0.9963033,0.000070087975,0.000419756,0.0001123125,0.0000039979,0.0000315565,0.001049445,0.000007788786,0.0020017382],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987316,0.000011077019,0.000007712862,0.000051513147,0.000026774413,0.000029640474],"domain_scores_gemma":[0.9995766,0.00003948603,0.00005617703,0.000030913976,0.00010407767,0.00019280077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001632935,0.0003264912,0.00024364181,0.00014111043,0.0004923893,0.0002934207,0.00034477282,0.00024007088,0.001194235],"category_scores_gemma":[0.00015681227,0.00020511034,0.00019465476,0.00011002083,0.00031400478,0.0001789928,0.00016251001,0.00043323942,0.0002492394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020764743,0.00047748658,0.044124354,0.000047732974,0.00006443869,0.00014003662,0.00012244195,0.0002064716,0.94923306,0.00002075059,0.00019310867,0.0032937655],"study_design_scores_gemma":[0.000044419976,0.001224756,0.9750915,0.000004705447,0.000020620713,0.00007172033,0.00015346412,0.0005897036,0.021958029,0.000015704716,0.00081237976,0.000012959017],"about_ca_topic_score_codex":0.18960072,"about_ca_topic_score_gemma":0.37159997,"teacher_disagreement_score":0.18960072,"about_ca_system_score_codex":0.0021212264,"about_ca_system_score_gemma":0.00094067946,"threshold_uncertainty_score":0.3769942},"labels":[],"label_agreement":null},{"id":"W2056205871","doi":"10.5194/bg-8-3771-2011","title":"Integration of remote sensing data and surface observations to estimate the impact of the Russian wildfires over Europe and Asia during August 2010","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Goddard Space Flight Center; Institute of Atmospheric Physics, Chinese Academy of Sciences; Dalhousie University; Chinese Academy of Sciences; Colorado State University; National Aeronautics and Space Administration","keywords":"AERONET; HYSPLIT; Environmental science; Moderate-resolution imaging spectroradiometer; Visibility; Meteorology; Satellite; Atmosphere (unit); Aerosol; Remote sensing; Spectroradiometer; Total Ozone Mapping Spectrometer; Trace gas; Radiative transfer; Atmospheric sciences; Angstrom exponent; Air mass (solar energy); Climatology; Stratosphere; Ozone layer; Geography; Geology; Physics","score_opus":0.03351084893570722,"score_gpt":0.26635135005840077,"score_spread":0.23284050112269356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056205871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989599,0.000050286828,0.00033483256,0.0000072471444,0.0000040938125,0.0000047544067,0.00041911568,0.000025913228,0.00019384963],"genre_scores_gemma":[0.99733365,0.000045675537,0.0010067209,0.000004377758,0.0000037206598,0.000005956057,0.0014842033,0.0000049147006,0.00011093066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997991,0.00002963093,0.00002154288,0.00007556067,0.00004206499,0.000032119075],"domain_scores_gemma":[0.9997218,0.00004287334,0.00007561798,0.00003357621,0.00009615256,0.000029873981],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550624,0.0006571671,0.00037609684,0.00080372894,0.00019923745,0.00039880778,0.000290685,0.00033634444,0.00033330198],"category_scores_gemma":[0.0004699046,0.00026546736,0.00054588844,0.0005829031,0.00011459883,0.0005114046,0.0003051333,0.00021384371,0.00014501592],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035252105,0.00023798393,0.9414851,0.00006326029,0.00040422232,0.00019929107,0.00020312794,0.025449002,0.009932031,0.0000817114,0.00045084133,0.021140818],"study_design_scores_gemma":[0.000020479314,0.00011144148,0.92218703,0.000016834712,0.00014839241,0.000051333594,0.0002797313,0.07391511,0.0027690933,0.00004838865,0.00043702894,0.000015098024],"about_ca_topic_score_codex":0.02350455,"about_ca_topic_score_gemma":0.02804244,"teacher_disagreement_score":0.02350455,"about_ca_system_score_codex":0.00038568085,"about_ca_system_score_gemma":0.00032495311,"threshold_uncertainty_score":0.046735466},"labels":[],"label_agreement":null},{"id":"W2056221087","doi":"10.5194/bg-6-361-2009","title":"Corrigendum to &amp;quot;Anthropogenic carbon distribution in the eastern South Pacific Ocean&amp;quot; published in Biogeosciences, 6, 149–156, 2009","year":2009,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Oceanography; Environmental science; Distribution (mathematics); Geography; Geology; Mathematics","score_opus":0.016992431590513644,"score_gpt":0.22809273780950437,"score_spread":0.21110030621899073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056221087","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000237928,0.0018033668,0.00053060113,0.037671376,0.92692447,0.00006771803,0.002740614,0.00039750745,0.029626446],"genre_scores_gemma":[0.0058467644,0.006287444,0.0020450943,0.039527547,0.10159485,0.00018274842,0.0039727804,0.00090832065,0.83963454],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920326,0.00009860571,0.00013192122,0.00013749438,0.00035007705,0.00007854841],"domain_scores_gemma":[0.99371356,0.00079557707,0.00025633178,0.0003363812,0.00453299,0.0003651923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078570936,0.0012813093,0.0014549001,0.0023493425,0.0023006313,0.0023914806,0.0015602917,0.0023539192,0.13420136],"category_scores_gemma":[0.0105739,0.00071787444,0.0008341784,0.0025405153,0.001023445,0.0013719362,0.001157966,0.003840389,0.0834987],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012032371,0.0000047085077,0.00004117805,0.00006658973,0.000002319246,0.000052164007,0.0000085266975,0.000027862701,0.000028826498,0.00033026823,0.99471974,0.0047057723],"study_design_scores_gemma":[0.00001857265,0.000020136478,0.0018014935,0.00016622261,0.0000106896505,0.0001112068,0.00006129708,0.00013360415,0.00017224948,0.00063749915,0.9968477,0.000019195002],"about_ca_topic_score_codex":0.04410597,"about_ca_topic_score_gemma":0.062930316,"teacher_disagreement_score":0.13420136,"about_ca_system_score_codex":0.0024752908,"about_ca_system_score_gemma":0.0018624982,"threshold_uncertainty_score":0.44894826},"labels":[],"label_agreement":null},{"id":"W2056753441","doi":"10.5194/bg-7-3123-2010","title":"The enigmatic ichnofossil <i>Tisoa siphonalis</i> and widespread authigenic seep carbonate formation during the Late Pliensbachian in southern France","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Carbonate; Authigenic; Geology; Concretion; Isotopes of carbon; Stable isotope ratio; Paleontology; Isotopes of oxygen; Outcrop; δ13C; Geochemistry; Mineralogy; Diagenesis; Total organic carbon; Chemistry; Environmental chemistry","score_opus":0.0036615640067759556,"score_gpt":0.18556828416864976,"score_spread":0.18190672016187381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056753441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860364,0.00021451058,0.000089432746,0.00003549232,0.0000021060685,0.0000020858165,0.00005729129,0.000007206227,0.0009881211],"genre_scores_gemma":[0.9994312,0.00007091489,0.000062644634,0.0000062674,0.000002855045,0.0000014431209,0.00006030298,0.0000012411257,0.0003631798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999255,0.000011044897,0.0000037200762,0.000026747994,0.000015133703,0.00001782178],"domain_scores_gemma":[0.9999238,0.0000095757905,0.000029877425,0.000003160641,0.00001835982,0.000015190432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017001176,0.00021784187,0.00017188658,0.00062387687,0.0005482341,0.0005588234,0.00015866903,0.00025111757,0.0011385893],"category_scores_gemma":[0.00018696056,0.00010063662,0.00014135553,0.00038655047,0.00059102493,0.00022830284,0.00027364888,0.0001332015,0.00013628615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025231417,0.000018876537,0.9206033,0.00012509554,0.0000917244,0.0018143525,0.00455852,0.0007187354,0.042960886,0.0005302168,0.00027455628,0.028051304],"study_design_scores_gemma":[0.0000019736488,0.000024173454,0.997875,0.000006621714,0.0000037000377,0.00014601473,0.0003924731,0.000080144564,0.00021955978,0.00001636282,0.0012320563,0.0000020884788],"about_ca_topic_score_codex":0.062086858,"about_ca_topic_score_gemma":0.12686661,"teacher_disagreement_score":0.062086858,"about_ca_system_score_codex":0.0008871792,"about_ca_system_score_gemma":0.0003947884,"threshold_uncertainty_score":0.123450935},"labels":[],"label_agreement":null},{"id":"W2056891759","doi":"10.5194/bg-10-7219-2013","title":"Modeling ocean circulation and biogeochemical variability in the Gulf of Mexico","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"North Carolina State University; Woods Hole Oceanographic Institution","keywords":"Biogeochemical cycle; Hindcast; Environmental science; Oceanography; Phytoplankton; Continental shelf; Zooplankton; Biogeochemistry; Empirical orthogonal functions; Pelagic zone; Benthic zone; Ocean current; Climatology; Geology; Ecology; Nutrient","score_opus":0.015533222602656894,"score_gpt":0.20159042506170016,"score_spread":0.18605720245904328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056891759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945268,0.0001305835,0.0027443005,0.00013436325,0.00001832073,0.00001592337,0.0007080084,0.00009103792,0.0016306028],"genre_scores_gemma":[0.99674535,0.00010230394,0.002134655,0.000017905884,0.0000075697117,0.0000257228,0.0005060185,0.000010016349,0.00045041667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999665,0.0000068657264,0.0000022340444,0.0000112352,0.0000049029904,0.000008255687],"domain_scores_gemma":[0.99989295,0.000033642093,0.000032054457,0.000008190441,0.00001819244,0.000014956247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014826325,0.00031856453,0.00023643137,0.00036293035,0.0004391117,0.00058581936,0.00054063345,0.000583281,0.00075840834],"category_scores_gemma":[0.00050051,0.00022265717,0.00041877473,0.00035472485,0.00024746353,0.0002854556,0.00043040627,0.0003542595,0.000054511922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000826526,0.000060654176,0.06717874,0.000024567835,0.00008666387,0.00011561285,0.00005266882,0.92565656,0.0014111917,0.0009328287,0.000455262,0.003942578],"study_design_scores_gemma":[0.00005373433,0.00003181893,0.017899029,0.000008369922,0.000027571414,0.000011427286,0.00004145691,0.9807749,0.00025087368,0.00020190126,0.00069113437,0.000007772426],"about_ca_topic_score_codex":0.15144943,"about_ca_topic_score_gemma":0.0867707,"teacher_disagreement_score":0.15144943,"about_ca_system_score_codex":0.0013609392,"about_ca_system_score_gemma":0.0010324238,"threshold_uncertainty_score":0.30113584},"labels":[],"label_agreement":null},{"id":"W2060944210","doi":"10.5194/bg-12-4149-2015","title":"Monitoring seasonal and diurnal changes in photosynthetic pigments with automated PRI and NDVI sensors","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates - Technology Futures","keywords":"Photochemical Reflectance Index; Normalized Difference Vegetation Index; Environmental science; Remote sensing; Evergreen; Photosynthesis; Vegetation (pathology); Deciduous; Atmospheric sciences; Leaf area index; Ecology; Botany; Biology; Geography; Physics","score_opus":0.015230462601251282,"score_gpt":0.22643996093782984,"score_spread":0.21120949833657857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2060944210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682294,0.00013652684,0.027144594,0.000020966181,0.000020976182,0.0001207615,0.0019476291,0.0005395875,0.0018394679],"genre_scores_gemma":[0.9295802,0.000073480034,0.067208864,0.00004821829,0.000011602702,0.00018432719,0.0018208167,0.000076532575,0.0009960035],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99964833,0.00006606338,0.000013278071,0.00012390983,0.00012033062,0.000028079667],"domain_scores_gemma":[0.99954563,0.00009974324,0.00008056521,0.00007749727,0.00016482043,0.000031778985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053134555,0.00046180503,0.00036741194,0.0004385946,0.00026211885,0.00041481602,0.0005222748,0.0003558197,0.00079510274],"category_scores_gemma":[0.00043171895,0.00023795203,0.0002209221,0.0005927348,0.00012656012,0.00043917802,0.0002795836,0.00030931586,0.00026797826],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009195845,0.00073398324,0.259244,0.00035333485,0.0002607575,0.00008968259,0.00029779668,0.012324988,0.6244308,0.000280804,0.0015951517,0.09946912],"study_design_scores_gemma":[0.000109572706,0.0008633937,0.69894063,0.000018017334,0.00013307919,0.0001535507,0.00013365496,0.100744806,0.19460976,0.0003228858,0.0039065145,0.00006412616],"about_ca_topic_score_codex":0.00279118,"about_ca_topic_score_gemma":0.0058942474,"teacher_disagreement_score":0.00279118,"about_ca_system_score_codex":0.00030565826,"about_ca_system_score_gemma":0.0002164652,"threshold_uncertainty_score":0.005549848},"labels":[],"label_agreement":null},{"id":"W2062276559","doi":"10.5194/bg-6-1961-2009","title":"Statistical validation of a 3-D bio-physical model of the western North Atlantic","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Office of Naval Research; Multidisciplinary University Research Initiative; National Aeronautics and Space Administration","keywords":"Phytoplankton; Ecosystem model; Picoplankton; Environmental science; Marine ecosystem; Ecosystem; Chlorophyll a; Oceanography; Climatology; Ecology; Geology; Biology; Nutrient","score_opus":0.01828461086489159,"score_gpt":0.21847020569455233,"score_spread":0.20018559482966075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062276559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99095273,0.000024685913,0.007226821,0.0001233232,0.000015888676,0.00002318921,0.00045940257,0.0001653593,0.0010085511],"genre_scores_gemma":[0.9969319,0.000010937354,0.0026052936,0.000022705472,0.0000027488152,0.00001813253,0.00024602373,0.000010313964,0.00015200552],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977213,0.000081634425,0.00002463542,0.000059420785,0.000034872763,0.000027208762],"domain_scores_gemma":[0.9979122,0.0011448644,0.00024439488,0.00020813392,0.00036959845,0.000120814395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001194821,0.00040603164,0.0003109868,0.00029486883,0.0004739745,0.00069197104,0.00083803886,0.0007722103,0.0006863788],"category_scores_gemma":[0.003711087,0.00035584276,0.0005549288,0.0002934207,0.00061178213,0.00042525964,0.0005221464,0.0006254528,0.000120288714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046429144,0.000044425484,0.013001137,0.00000817881,0.00002458929,0.000025586747,0.000018124887,0.9846784,0.0006937352,0.00020910306,0.00008350147,0.0011667717],"study_design_scores_gemma":[0.000016418126,0.000013717309,0.0026258347,0.0000015841684,0.0000046694836,0.0000023401753,0.0000066653056,0.99700207,0.00020583865,0.00006283815,0.000054431184,0.0000035469563],"about_ca_topic_score_codex":0.12271061,"about_ca_topic_score_gemma":0.06661336,"teacher_disagreement_score":0.12271061,"about_ca_system_score_codex":0.0015374654,"about_ca_system_score_gemma":0.0016946993,"threshold_uncertainty_score":0.24399275},"labels":[],"label_agreement":null},{"id":"W2065464328","doi":"10.5194/bg-12-2019-2015","title":"Flux variations and vertical distributions of siliceous Rhizaria (Radiolaria and Phaeodaria) in the western Arctic Ocean: indices of environmental changes","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"JST-Mirai Program; Shirshov Institute of Oceanology, Russian Academy of Sciences; Japan Agency for Marine-Earth Science and Technology; Northwestern University; Russian Academy of Sciences; Japan Society for the Promotion of Science; Universitetet i Oslo; Lamont-Doherty Earth Observatory, Columbia University","keywords":"Radiolaria; Oceanography; Abyssal zone; Arctic; Sea ice; Geology; Sediment trap; Abyssal plain; Plankton; Arctic ice pack; Sediment; Water column; Paleontology","score_opus":0.01663242616272883,"score_gpt":0.20685806891090844,"score_spread":0.1902256427481796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065464328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994357,0.00005684753,0.00003672656,0.0000037017417,8.5685645e-7,0.0000011337482,0.00017662338,0.0000015325838,0.00028674243],"genre_scores_gemma":[0.9992681,0.00008290379,0.00014269284,0.0000053299036,0.0000019294964,0.0000026618973,0.0002801359,0.0000010512273,0.00021509451],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994576,0.0000073864903,0.000004688606,0.00001552368,0.000013446008,0.000013228133],"domain_scores_gemma":[0.99977,0.000023775438,0.000075557466,0.0000072587854,0.00007923514,0.00004421086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014522362,0.00020080073,0.00011255573,0.00068681815,0.00036642357,0.0004106708,0.00011121307,0.00013182158,0.000457054],"category_scores_gemma":[0.00025250335,0.00013437799,0.00010730484,0.0005029095,0.00017059814,0.00021297099,0.00022937304,0.00011013262,0.000101500926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007948052,0.000013030143,0.98590404,0.000011640469,0.000026038017,0.000048537677,0.00025476734,0.00009525418,0.010384501,0.000019490508,0.000040554703,0.003122645],"study_design_scores_gemma":[5.645071e-7,0.0000073744964,0.9995072,0.0000010734328,0.0000033154108,0.000014978335,0.000118351,0.00009977413,0.000173384,0.0000026662794,0.00007064527,7.28741e-7],"about_ca_topic_score_codex":0.08843926,"about_ca_topic_score_gemma":0.18561335,"teacher_disagreement_score":0.08843926,"about_ca_system_score_codex":0.0005460099,"about_ca_system_score_gemma":0.00027990257,"threshold_uncertainty_score":0.17584896},"labels":[],"label_agreement":null},{"id":"W2066022596","doi":"10.5194/bg-11-5969-2014","title":"Partial coupling and differential regulation of biologically and photochemically labile dissolved organic carbon across boreal aquatic networks","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":201,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Dissolved organic carbon; Colored dissolved organic matter; Environmental chemistry; Chemistry; Aquatic ecosystem; Wetland; Phytoplankton; Ecology; Nutrient","score_opus":0.00841033788815874,"score_gpt":0.2004832463546276,"score_spread":0.19207290846646888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066022596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985594,0.00016467196,0.0006084838,0.000022532266,0.0000019077302,0.000005914606,0.000107348416,0.00001879208,0.0005109786],"genre_scores_gemma":[0.99942076,0.0000467091,0.00032353506,0.000014737686,0.0000022868892,0.000005947889,0.00008507426,0.0000033741446,0.00009759991],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99971884,0.000036839025,0.000015889782,0.00015286996,0.00003159633,0.00004404326],"domain_scores_gemma":[0.99943477,0.000104591214,0.00020462797,0.000042058688,0.00014039391,0.000073516516],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029489273,0.00019458776,0.00029570554,0.00057531236,0.0005092453,0.0006721818,0.00029274978,0.0002505558,0.00037675243],"category_scores_gemma":[0.00066454295,0.00025626872,0.00021215748,0.00032623668,0.00053540757,0.00072331115,0.00069644005,0.00021486192,0.000059635182],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001874472,0.000062338746,0.48532742,0.00018601719,0.0002280561,0.0001427449,0.0011920023,0.0016105351,0.49472386,0.0008109597,0.00018938645,0.0153392665],"study_design_scores_gemma":[0.0000032353335,0.000041557978,0.99522394,0.0000037319164,0.000018144554,0.000059934875,0.00020235256,0.0015189308,0.0023462554,0.00016774306,0.0004065699,0.0000075791263],"about_ca_topic_score_codex":0.013901602,"about_ca_topic_score_gemma":0.017139623,"teacher_disagreement_score":0.013901602,"about_ca_system_score_codex":0.0006561661,"about_ca_system_score_gemma":0.00036552013,"threshold_uncertainty_score":0.027641356},"labels":[],"label_agreement":null},{"id":"W2066708694","doi":"10.5194/bg-10-6433-2013","title":"Light absorption and partitioning in Arctic Ocean surface waters: impact of multiyear ice melting","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; Université Laval; Collège Boréal; Takuvik Joint International Laboratory; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; ArcticNet","keywords":"Water column; Arctic; Ocean color; Sea ice; Environmental science; Radiance; Surface water; Atmospheric sciences; Melt pond; Downwelling; Meltwater; Arctic ice pack; Oceanography; Snow; Geology; Sea ice thickness; Satellite; Remote sensing; Upwelling; Geomorphology","score_opus":0.011081300915555517,"score_gpt":0.21909942049236386,"score_spread":0.20801811957680835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066708694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962664,0.000066859786,0.00013372245,0.000008359216,0.0000015009919,0.0000012929429,0.000048378806,0.0000033079173,0.000109894965],"genre_scores_gemma":[0.9996567,0.000040449828,0.00016221215,0.0000071127156,0.0000013005938,0.0000021493795,0.00007736815,0.000002311375,0.000050459537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988437,0.000027032,0.000006838587,0.000028188239,0.000028859702,0.000024726196],"domain_scores_gemma":[0.99979514,0.000075048694,0.000046444835,0.000015480216,0.000043244225,0.00002462861],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036983617,0.00029804852,0.00027141612,0.00026399334,0.00035150562,0.0005156664,0.00016174602,0.00020422145,0.00022269647],"category_scores_gemma":[0.000357686,0.00016842103,0.00049785443,0.0002710295,0.0001904727,0.0002604324,0.00030956545,0.00023725674,0.000052297484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010934309,0.00013084532,0.53200203,0.00008061392,0.00027099485,0.0002287164,0.00037817034,0.016104959,0.43677914,0.00012679811,0.00011718635,0.012687099],"study_design_scores_gemma":[0.0000074943077,0.00016766423,0.9524485,0.000006103379,0.000068212874,0.00007237233,0.00027230429,0.018643036,0.027965056,0.000063315565,0.00027336692,0.0000126069135],"about_ca_topic_score_codex":0.040051986,"about_ca_topic_score_gemma":0.027300177,"teacher_disagreement_score":0.040051986,"about_ca_system_score_codex":0.0007863509,"about_ca_system_score_gemma":0.0004597834,"threshold_uncertainty_score":0.079637766},"labels":[],"label_agreement":null},{"id":"W2067275761","doi":"10.5194/bg-11-6871-2014","title":"Corrigendum to &amp;quot;Impacts of freezing and thawing dynamics on foliar litter carbon release in alpine/subalpine forests along an altitudinal gradient in the eastern Tibetan Plateau&amp;quot; published in Biogeosciences, 11, 6471–6481, 2014","year":2014,"lang":"en","type":"erratum","venue":"Biogeosciences","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Montane ecology; Plateau (mathematics); Subalpine forest; Carbon fibers; Environmental science; Ecology; Biology; Mathematics","score_opus":0.033889229192617644,"score_gpt":0.29282649234047875,"score_spread":0.2589372631478611,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067275761","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00046800004,0.0027343421,0.00081554486,0.053076603,0.91785395,0.00007757512,0.0035658414,0.00044085665,0.020967249],"genre_scores_gemma":[0.013973043,0.008718469,0.004050592,0.045693375,0.098594606,0.00031608425,0.0061124945,0.0011107222,0.8214307],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99918324,0.00012684599,0.00014534603,0.00016513318,0.00030951668,0.00006988659],"domain_scores_gemma":[0.9912941,0.00108044,0.00035480646,0.00055073696,0.0062948307,0.00042507212],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011988671,0.0010872046,0.0013019876,0.0019715042,0.002460918,0.0017400682,0.0016666561,0.0021008854,0.11240737],"category_scores_gemma":[0.014322624,0.00059393706,0.00077590806,0.002246096,0.001147818,0.0014865071,0.0013870806,0.0027925132,0.047004554],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000010109955,0.0000053418776,0.00009526756,0.00006648876,0.0000026836274,0.00004560594,0.000014224277,0.00003593624,0.0000330227,0.00040996796,0.99164504,0.0076362756],"study_design_scores_gemma":[0.000015543963,0.000021775026,0.0036000912,0.00016693749,0.000011534559,0.00010684457,0.00009651765,0.00021847007,0.0002167414,0.0007470283,0.9947744,0.000024161258],"about_ca_topic_score_codex":0.08282568,"about_ca_topic_score_gemma":0.12733413,"teacher_disagreement_score":0.11240737,"about_ca_system_score_codex":0.0029101532,"about_ca_system_score_gemma":0.0025041683,"threshold_uncertainty_score":0.3760401},"labels":[],"label_agreement":null},{"id":"W2070102284","doi":"10.5194/bg-9-4897-2012","title":"An eddy-stimulated hotspot for fixed nitrogen-loss from the Peru oxygen minimum zone","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Oxygen minimum zone; Mesoscale meteorology; Sink (geography); Hotspot (geology); Oceanography; Environmental science; New production; Submarine pipeline; Eddy; Climatology; Geology; Upwelling; Phytoplankton; Ecology; Biology; Geography","score_opus":0.020760032134250483,"score_gpt":0.22913173738040013,"score_spread":0.20837170524614965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070102284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998798,0.000117002935,0.00014501135,0.00005963793,0.0000022411973,0.0000029097694,0.00014564389,0.00001644673,0.00071309455],"genre_scores_gemma":[0.99947375,0.00005712512,0.0000873853,0.000016322836,0.000005302626,0.000003551537,0.00019435873,0.0000023389957,0.00015976295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999559,0.0000051888965,0.0000023507598,0.000014965907,0.000007145601,0.00001445698],"domain_scores_gemma":[0.99982077,0.000017870696,0.000083935425,0.000014834866,0.000027506527,0.000035132565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010960125,0.00014490147,0.0001542948,0.0004927668,0.00036810263,0.00038002618,0.00020498286,0.00027938857,0.0010904066],"category_scores_gemma":[0.00025711083,0.000100670986,0.00014276417,0.00043928833,0.00028404174,0.0002061355,0.00058533263,0.00015861444,0.00015122048],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034737974,0.000032625725,0.903589,0.0001019997,0.00010309658,0.0008792869,0.0006661639,0.00025015837,0.082719065,0.0002166204,0.00043766745,0.010657022],"study_design_scores_gemma":[0.000003679681,0.000017209655,0.9978179,0.0000045438987,0.00000847153,0.00019732387,0.00017917692,0.00023136543,0.00105472,0.000054772656,0.00042810754,0.000002867723],"about_ca_topic_score_codex":0.004404504,"about_ca_topic_score_gemma":0.0069183954,"teacher_disagreement_score":0.004404504,"about_ca_system_score_codex":0.0002508754,"about_ca_system_score_gemma":0.00017170755,"threshold_uncertainty_score":0.00875777},"labels":[],"label_agreement":null},{"id":"W2070434054","doi":"10.5194/bg-10-4371-2013","title":"Methane fluxes measured by eddy covariance and static chamber techniques at a temperate forest in central Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"General Electric (Canada); University of Toronto","funders":"","keywords":"Eddy covariance; Environmental science; Flux (metallurgy); Atmospheric sciences; Methane; Temperate forest; Interception; Hydrology (agriculture); Temperate climate; Seasonality; Ecosystem; Ecology; Chemistry; Geology","score_opus":0.005853975787695591,"score_gpt":0.17948356663561948,"score_spread":0.1736295908479239,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070434054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959902,0.0001830495,0.0002047476,0.00003842492,0.000003343415,0.000030807372,0.0013077462,0.000017884795,0.0022238384],"genre_scores_gemma":[0.99581426,0.00016399265,0.000778509,0.000033172804,0.0000034563855,0.000025764293,0.0010394658,0.000008379339,0.0021329378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99966276,0.000012913193,0.000011716874,0.00008605615,0.00013722964,0.00008932045],"domain_scores_gemma":[0.99928963,0.000030942963,0.00006879835,0.000014584327,0.00047785725,0.00011814336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024825614,0.00037022278,0.0003141371,0.0009836489,0.0035959168,0.00093425775,0.00069146807,0.00022640848,0.0010131989],"category_scores_gemma":[0.00034123112,0.00032444327,0.000188337,0.0018009816,0.00060795597,0.00030931438,0.00035360796,0.0002078827,0.00017245708],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006521397,0.00014792099,0.918876,0.0001406782,0.00008946997,0.0006911063,0.005399575,0.0008734195,0.05277151,0.00018471105,0.0017866099,0.018386897],"study_design_scores_gemma":[0.000009594564,0.000033122036,0.9966258,0.00000825283,0.000011269829,0.000035564324,0.0009573232,0.00048192355,0.0007463042,0.000009625137,0.0010730027,0.000008364411],"about_ca_topic_score_codex":0.9917384,"about_ca_topic_score_gemma":0.99785846,"teacher_disagreement_score":0.01881182,"about_ca_system_score_codex":0.01881182,"about_ca_system_score_gemma":0.010857535,"threshold_uncertainty_score":0.13648999},"labels":[],"label_agreement":null},{"id":"W2074020269","doi":"10.5194/bg-11-1021-2014","title":"Sub-grid scale representation of vegetation in global land surface schemes: implications for estimation of the terrestrial carbon sink","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Carbon sink; Carbon cycle; Vegetation (pathology); Primary production; Sink (geography); Terrestrial ecosystem; Ecosystem; Land cover; Atmospheric sciences; Biosphere; Carbon sequestration; Soil carbon; Physical geography; Hydrology (agriculture); Soil science; Land use; Soil water; Ecology; Carbon dioxide; Geology; Geography","score_opus":0.0108329097536641,"score_gpt":0.24918945265304476,"score_spread":0.23835654289938066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074020269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9290112,0.00033458287,0.06486378,0.0004836828,0.000031905656,0.000057106474,0.0010706071,0.00030239503,0.003844738],"genre_scores_gemma":[0.98352575,0.00006587435,0.01580696,0.000032755197,0.000005075201,0.000015327738,0.0003240604,0.000028392362,0.00019587704],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998566,0.00006548538,0.000006037749,0.000028892331,0.000028128914,0.000014770896],"domain_scores_gemma":[0.9994611,0.00022703098,0.000056390167,0.000109760505,0.00010970547,0.00003596265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070944114,0.00021634634,0.00024374916,0.0002920904,0.00018344756,0.0006944997,0.00046190893,0.00031892466,0.00088847097],"category_scores_gemma":[0.0030737943,0.00015196273,0.0002699894,0.0006716253,0.00032269853,0.00087323115,0.00042620866,0.00034828836,0.00011963131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016979405,0.000057900237,0.0752131,0.0000429368,0.00006211166,0.00002981819,0.00008519025,0.8805878,0.003343236,0.005597999,0.0007067088,0.034103442],"study_design_scores_gemma":[0.000018087208,0.000015895264,0.021643434,0.000007762256,0.000006744788,0.0000052873443,0.00004039377,0.97558355,0.0002950345,0.0019094046,0.0004668393,0.0000075936164],"about_ca_topic_score_codex":0.05760771,"about_ca_topic_score_gemma":0.062726274,"teacher_disagreement_score":0.05760771,"about_ca_system_score_codex":0.0011427554,"about_ca_system_score_gemma":0.0005120219,"threshold_uncertainty_score":0.11454481},"labels":[],"label_agreement":null},{"id":"W2074736351","doi":"10.5194/bg-11-293-2014","title":"Regional variability of acidification in the Arctic: a sea of contrasts","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Ocean acidification; Arctic; Oceanography; Arctic geoengineering; Environmental science; Arctic sea ice decline; Climate change; Sea ice; Climatology; Aragonite; Arctic ice pack; Geology; Calcite; Antarctic sea ice","score_opus":0.019714845878104268,"score_gpt":0.2335339118895515,"score_spread":0.21381906601144723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074736351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983387,0.00010110664,0.00024719673,0.00006280202,0.000009093144,0.0000018245144,0.00027165437,0.000014438665,0.00095311063],"genre_scores_gemma":[0.9995271,0.000044750574,0.00009231127,0.000007745398,0.0000034938087,8.8800533e-7,0.0002504296,0.0000033682338,0.00007001512],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998362,0.00005047871,0.000009797342,0.000046185785,0.000023923538,0.000033425953],"domain_scores_gemma":[0.99967587,0.00009506587,0.00004116346,0.000034282937,0.00010599681,0.000047792182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066013215,0.00020756936,0.00031482853,0.0004593263,0.0003779736,0.00093135284,0.0002419817,0.0003484727,0.0004447815],"category_scores_gemma":[0.00097038044,0.00015237335,0.0004720895,0.0006274125,0.0002642633,0.0002582476,0.000463647,0.0002464078,0.000083640996],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004996669,0.00008586408,0.9171839,0.000039905342,0.0005137063,0.00051728176,0.0003666774,0.06563696,0.007464025,0.00084696815,0.0011144053,0.0057305894],"study_design_scores_gemma":[0.000026725966,0.00008523209,0.9151939,0.000016836497,0.00011989677,0.000118318014,0.00077598554,0.08061211,0.0009723372,0.00031424867,0.0017369089,0.00002755804],"about_ca_topic_score_codex":0.083212934,"about_ca_topic_score_gemma":0.059766002,"teacher_disagreement_score":0.083212934,"about_ca_system_score_codex":0.0005519007,"about_ca_system_score_gemma":0.0005494064,"threshold_uncertainty_score":0.16545719},"labels":[],"label_agreement":null},{"id":"W2074855628","doi":"10.5194/bg-7-2673-2010","title":"Spatial and temporal patterns of CH <sub>4</sub> and N <sub>2</sub> O fluxes in terrestrial ecosystems of North America during 1979–2008: application of a global biogeochemistry model","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":218,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Stockholms Universitet; Harvard University; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Environmental science; Biogeochemical cycle; Ecosystem; Terrestrial ecosystem; Greenhouse gas; Precipitation; Atmospheric sciences; Wetland; Flux (metallurgy); Climate change; Nitrous oxide; Oceanography; Ecology; Geography; Chemistry; Meteorology; Geology; Biology","score_opus":0.00432344941126735,"score_gpt":0.18843843289506945,"score_spread":0.1841149834838021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074855628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916446,0.000023825412,0.00014759635,0.000028407878,0.0000014694691,0.0000022276527,0.00040098457,0.000017139619,0.00021395706],"genre_scores_gemma":[0.9982697,0.000051038085,0.00055736594,0.0000087385015,0.0000018505714,0.000007830408,0.00094264053,0.0000037575833,0.00015693919],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999505,0.000008132807,0.0000028978618,0.00002192834,0.0000071070285,0.000009434455],"domain_scores_gemma":[0.9998746,0.000029204146,0.00003490738,0.000010809729,0.00003198138,0.000018495852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017207976,0.00018677382,0.00011706816,0.0003512008,0.00018826104,0.0002777583,0.0002036791,0.00021000979,0.0003645715],"category_scores_gemma":[0.00026015294,0.00014335592,0.00034722465,0.000454853,0.00012046617,0.000274739,0.0001948737,0.000114527706,0.000059163674],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011960669,0.00008126009,0.94480276,0.00003293591,0.00014672543,0.00017707651,0.00023363002,0.04033122,0.0059155175,0.00015012689,0.0009393043,0.007069857],"study_design_scores_gemma":[0.000012171983,0.000017776887,0.9124559,0.0000062145996,0.000040741284,0.000029420138,0.0002427451,0.08586698,0.0006226839,0.00007025425,0.0006257623,0.000009294231],"about_ca_topic_score_codex":0.14134385,"about_ca_topic_score_gemma":0.21018445,"teacher_disagreement_score":0.14134385,"about_ca_system_score_codex":0.0009215811,"about_ca_system_score_gemma":0.00038192907,"threshold_uncertainty_score":0.28104222},"labels":[],"label_agreement":null},{"id":"W2076402894","doi":"10.5194/bg-11-4191-2014","title":"Ocean colour remote sensing in the southern Laptev Sea: evaluation and applications","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Alberta Agricultural Research Institute","keywords":"Arctic; Terrigenous sediment; Oceanography; Environmental science; Satellite; Remote sensing; Continental shelf; Ocean color; Geology; Permafrost; Colored dissolved organic matter; Surface water; Phytoplankton; Structural basin; Geomorphology","score_opus":0.016647516739989814,"score_gpt":0.23487304047641336,"score_spread":0.21822552373642354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076402894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966074,0.00037330115,0.0010710165,0.00004137538,0.000009464359,0.000045857767,0.00058871205,0.00007408848,0.0011887422],"genre_scores_gemma":[0.9941048,0.00022977602,0.004213575,0.000025865042,0.000009227991,0.000034826302,0.0010569112,0.000011236329,0.0003138118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959236,0.00015576012,0.000023308368,0.00008660374,0.0001084687,0.000033458906],"domain_scores_gemma":[0.99939024,0.00020290996,0.00006164455,0.000048302692,0.00022129765,0.000075627366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014050705,0.00059361564,0.00028594563,0.0015774822,0.00026462862,0.0010030551,0.00031509186,0.0003756201,0.00072598265],"category_scores_gemma":[0.0013606832,0.00014118997,0.00033454288,0.0015497508,0.0002378792,0.0005018959,0.0006246396,0.00015259451,0.00016382124],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012745209,0.00042011027,0.8173833,0.00028280824,0.00033041884,0.00047950604,0.00035374216,0.028604737,0.019294724,0.00026234402,0.00090975995,0.130404],"study_design_scores_gemma":[0.00010265358,0.00049473456,0.90361106,0.00005029764,0.00013847116,0.0001343507,0.000512348,0.08830735,0.00500401,0.0001587501,0.0014543638,0.000031700794],"about_ca_topic_score_codex":0.033758048,"about_ca_topic_score_gemma":0.02934798,"teacher_disagreement_score":0.033758048,"about_ca_system_score_codex":0.00076474884,"about_ca_system_score_gemma":0.00049566093,"threshold_uncertainty_score":0.067123115},"labels":[],"label_agreement":null},{"id":"W2077884244","doi":"10.5194/bg-6-149-2009","title":"Anthropogenic carbon distribution in the eastern South Pacific Ocean","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Oceanography; Carbonate; Pacific ocean; Environmental science; Carbon fibers; Geology; Chemistry","score_opus":0.015060936294451717,"score_gpt":0.22604747114503457,"score_spread":0.21098653485058286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077884244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987282,0.00013193687,0.00005189522,0.000025050771,0.0000014089037,0.0000014329289,0.0001901194,0.000004863006,0.00086509483],"genre_scores_gemma":[0.99942493,0.00012531769,0.00005174228,0.0000062419917,0.000002721902,0.0000023020605,0.00022217318,0.0000016382975,0.0001630159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999205,0.000012060897,0.0000072360936,0.000020717891,0.000026571262,0.000012898365],"domain_scores_gemma":[0.9996395,0.00004305418,0.000118853735,0.00001797376,0.00014851747,0.000032161388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012900762,0.00016357805,0.0001278963,0.00074075616,0.0001971822,0.00037953738,0.00010232746,0.00009669699,0.00083738676],"category_scores_gemma":[0.00036633905,0.00007381217,0.00011963314,0.0010557887,0.0003450637,0.00020181092,0.00035101935,0.00013305931,0.00009986431],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008614802,0.000010005374,0.9871328,0.00003997744,0.000063119034,0.00015547483,0.00024301541,0.0009175882,0.004771957,0.00009874677,0.00010075778,0.006380535],"study_design_scores_gemma":[0.0000019735312,0.000008657408,0.9989485,0.000004002849,0.0000060261073,0.000039646427,0.0001274498,0.00027493134,0.00022772382,0.000015760561,0.00034344156,0.0000019315187],"about_ca_topic_score_codex":0.036936186,"about_ca_topic_score_gemma":0.05559038,"teacher_disagreement_score":0.036936186,"about_ca_system_score_codex":0.0003780828,"about_ca_system_score_gemma":0.00033274002,"threshold_uncertainty_score":0.0734424},"labels":[],"label_agreement":null},{"id":"W2079444267","doi":"10.5194/bg-8-1255-2011","title":"The role of plant functional trade-offs for biodiversity changes and biome shifts under scenarios of global climatic change","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Max-Planck-Gesellschaft","keywords":"Biome; Species richness; Biodiversity; Ecology; Climate change; Vegetation (pathology); Trait; Plant community; Global change; Phenology; Range (aeronautics); Plant functional type; Biology; Environmental science; Ecosystem; Geography; Computer science","score_opus":0.042554733139550716,"score_gpt":0.22249181853144,"score_spread":0.1799370853918893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079444267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598616,0.00010903052,0.002463896,0.00023852801,0.000006000237,0.00000441138,0.00019430213,0.000043383374,0.00095427316],"genre_scores_gemma":[0.9996697,0.000015445788,0.0002081655,0.000010996915,0.000001989732,0.0000022939491,0.00005132428,0.0000050019376,0.00003519704],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972564,0.00013044736,0.000018157283,0.000053462732,0.000033397468,0.000039004357],"domain_scores_gemma":[0.9985488,0.0007100363,0.00031410853,0.0001416976,0.000117057665,0.00016823347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014474199,0.00039071334,0.00031437262,0.0006702173,0.00036925048,0.0010242815,0.00038038823,0.00066564523,0.0011262912],"category_scores_gemma":[0.0032307075,0.00020637643,0.0006860276,0.0004771463,0.0007238401,0.00083609624,0.0006562996,0.0003729963,0.00009429135],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004779999,0.00009162722,0.5703944,0.00013961918,0.000631012,0.0003836554,0.0002537168,0.38323352,0.026013935,0.0056014825,0.00056346226,0.01221558],"study_design_scores_gemma":[0.000017180018,0.00010490758,0.5851971,0.000014028021,0.000065368535,0.00016700801,0.00034312208,0.40685028,0.0014443032,0.005301985,0.0004476669,0.000047066762],"about_ca_topic_score_codex":0.0032706268,"about_ca_topic_score_gemma":0.003083988,"teacher_disagreement_score":0.0032706268,"about_ca_system_score_codex":0.0008521033,"about_ca_system_score_gemma":0.00024440378,"threshold_uncertainty_score":0.007654786},"labels":[],"label_agreement":null},{"id":"W2079999532","doi":"10.5194/bg-10-101-2013","title":"Nitrogen isotopes in bulk marine sediment: linking seafloor observations with subseafloor records","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":197,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; McGill University; University of Victoria","funders":"Oregon State University; Natural Sciences and Engineering Research Council of Canada; Lamont-Doherty Earth Observatory, Columbia University; National Institute of Water and Atmospheric Research; Canadian Institute for Advanced Research","keywords":"Seafloor spreading; Geology; Sediment; Oceanography; Sedimentary depositional environment; Isotopes of nitrogen; Sedimentary rock; Nitrogen; Glacial period; Isotope; Paleontology; Chemistry","score_opus":0.028005751694085677,"score_gpt":0.2295578526905796,"score_spread":0.20155210099649393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2079999532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921411,0.0006894755,0.0022519056,0.00001424394,0.000007463814,0.0000134354295,0.0039115814,0.000034373188,0.00093633594],"genre_scores_gemma":[0.9848579,0.00063970295,0.0065494897,0.000031373736,0.000015063149,0.00002399896,0.0073812115,0.000025862546,0.0004753592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995347,0.000059935563,0.000049209764,0.00018926995,0.0001224376,0.000044357967],"domain_scores_gemma":[0.9990152,0.00013246869,0.00038565687,0.00013196962,0.00028694316,0.00004785315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007880462,0.00033238714,0.00035573117,0.002623419,0.00018771527,0.0008119603,0.00026567042,0.00025885153,0.00036935857],"category_scores_gemma":[0.0013732787,0.00015010468,0.00021637834,0.0027311032,0.00015241856,0.00042233153,0.000763759,0.00012500999,0.0002733227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004914171,0.000015363288,0.9609533,0.00008366647,0.0001622644,0.00009234127,0.00010263944,0.00023957925,0.01807265,0.000035291054,0.00014072,0.020053113],"study_design_scores_gemma":[0.0000022654567,0.00003337253,0.9946642,0.000020283549,0.00005420498,0.000095430565,0.00011444528,0.00086704234,0.0029125048,0.000054967033,0.001175659,0.0000056244116],"about_ca_topic_score_codex":0.010833267,"about_ca_topic_score_gemma":0.028695898,"teacher_disagreement_score":0.010833267,"about_ca_system_score_codex":0.00025402484,"about_ca_system_score_gemma":0.00032795334,"threshold_uncertainty_score":0.021540403},"labels":[],"label_agreement":null},{"id":"W2086536434","doi":"10.5194/bg-10-7723-2013","title":"A novel estimate of ocean oxygen utilisation points to a reduced rate of respiration in the ocean interior","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Compute Canada; Commonwealth Scientific and Industrial Research Organisation; University of Victoria; Canadian Institute for Advanced Research","keywords":"Isopycnal; Oxygen; Biogeochemical cycle; Respiration; Atmosphere (unit); Apparent oxygen utilisation; Ocean current; Environmental science; Oceanography; Atmospheric sciences; Chemistry; Geology; Meteorology; Environmental chemistry; Biology; Botany; Physics","score_opus":0.028304915371315104,"score_gpt":0.25948048839968235,"score_spread":0.23117557302836725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086536434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9715319,0.00031149285,0.024995115,0.00015342858,0.000035340843,0.00000734517,0.00080360554,0.00020712869,0.001954582],"genre_scores_gemma":[0.9967932,0.00006983921,0.002739784,0.000009386637,0.000005034848,0.000004263999,0.00025919176,0.00001363491,0.00010571172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998254,0.00004259534,0.000012671325,0.00006216824,0.000037955746,0.000019346373],"domain_scores_gemma":[0.9995603,0.00015749707,0.00011777572,0.00006714512,0.000067798166,0.000029572704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046939313,0.00041696048,0.0004153732,0.0004370623,0.00019067767,0.00079233263,0.00052468287,0.00035864825,0.0004683017],"category_scores_gemma":[0.002015792,0.00020703963,0.0005492687,0.00047481558,0.0002904354,0.00065057905,0.001062608,0.00052421197,0.00008543916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039197327,0.00016308694,0.46281713,0.0003146434,0.00053078256,0.00011606105,0.0001594078,0.42381987,0.07391989,0.003810509,0.0010959513,0.032860704],"study_design_scores_gemma":[0.000033800337,0.000081464445,0.21282846,0.000031312713,0.00008468248,0.00008298662,0.00009504088,0.7691349,0.013813802,0.0026409272,0.0011263014,0.00004635113],"about_ca_topic_score_codex":0.005524699,"about_ca_topic_score_gemma":0.005299464,"teacher_disagreement_score":0.005524699,"about_ca_system_score_codex":0.00040536426,"about_ca_system_score_gemma":0.0002988415,"threshold_uncertainty_score":0.010985076},"labels":[],"label_agreement":null},{"id":"W2086567138","doi":"10.5194/bg-10-4511-2013","title":"Apparent optical properties of the Canadian Beaufort Sea – Part 2: The 1% and 1 cm perspective in deriving and validating AOP data products","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Colored dissolved organic matter; Remote sensing; Seawater; Environmental science; SeaWiFS; Spectral bands; Geology; Oceanography","score_opus":0.043493584089917714,"score_gpt":0.20854417088689,"score_spread":0.1650505867969723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086567138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93894804,0.0015293363,0.030745419,0.0006160898,0.00007460452,0.0002191068,0.0072149266,0.00077441713,0.01987783],"genre_scores_gemma":[0.9384657,0.00067197444,0.05411145,0.00033747742,0.000022234586,0.00009714818,0.0038186065,0.00015825049,0.0023171513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742186,0.00012711457,0.000056234065,0.0003339971,0.0018867094,0.00017412155],"domain_scores_gemma":[0.9977718,0.00019706896,0.00023270544,0.00020720456,0.0014764803,0.00011478839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019165622,0.00081807736,0.00039539157,0.0018827899,0.0019472954,0.0018791346,0.001804273,0.00056045724,0.0008196067],"category_scores_gemma":[0.0027725114,0.00039442236,0.00041449824,0.0027342767,0.0009442753,0.0010336762,0.0010146376,0.0008633692,0.00026170159],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038812184,0.0001882975,0.51429105,0.0007254145,0.00047502873,0.0005805821,0.00200655,0.035511434,0.20690823,0.002950861,0.006036736,0.22993778],"study_design_scores_gemma":[0.000027309225,0.00012759875,0.8711477,0.00010458477,0.0001103894,0.00024975903,0.0010342086,0.0321242,0.07092402,0.0006119642,0.023333441,0.00020482719],"about_ca_topic_score_codex":0.9073366,"about_ca_topic_score_gemma":0.9391666,"teacher_disagreement_score":0.09266341,"about_ca_system_score_codex":0.008275202,"about_ca_system_score_gemma":0.008483053,"threshold_uncertainty_score":0.18641818},"labels":[],"label_agreement":null},{"id":"W2087698406","doi":"10.5194/bg-10-2833-2013","title":"Ecosystem function and particle flux dynamics across the Mackenzie Shelf (Beaufort Sea, Arctic Ocean): an integrative analysis of spatial variability and biophysical forcings","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Institut National de la Recherche Scientifique; Université Laval","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; International Atomic Energy Agency; Centre National d’Etudes Spatiales; Canada Excellence Research Chairs, Government of Canada; Agence Nationale de la Recherche; European Space Agency; ArcticNet; Gobierno del Principado de Asturias; Université Laval","keywords":"Environmental science; Settling; Ocean gyre; Oceanography; Benthic zone; Flux (metallurgy); Arctic; Marine ecosystem; Atmospheric sciences; Ecosystem; Geology; Ecology","score_opus":0.0068831582082576,"score_gpt":0.2129640915736166,"score_spread":0.206080933365359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087698406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916995,0.000089607456,0.0004500037,0.000021991087,0.0000010933795,0.0000016679935,0.00010240483,0.000008195899,0.00015508005],"genre_scores_gemma":[0.99923277,0.000060898525,0.0004717788,0.000008444346,0.0000016611357,0.0000022173106,0.00016015426,0.0000028398863,0.0000591792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998995,0.00002728785,0.000006811711,0.00003741171,0.00001333887,0.000015652322],"domain_scores_gemma":[0.99984205,0.000033657256,0.00004129586,0.00002481714,0.00003596922,0.000022193559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005361039,0.00030024943,0.00034289292,0.0008073975,0.0004599335,0.00077622384,0.00019822785,0.00020467232,0.0003035748],"category_scores_gemma":[0.00039872967,0.00019944043,0.0006277984,0.00060011295,0.00028414468,0.0004674441,0.00045596875,0.00018330505,0.00004805991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000113076545,0.000039878647,0.95546305,0.000040940995,0.00066840724,0.000116598465,0.00026816098,0.014866617,0.015893264,0.0002960477,0.00017293773,0.012061118],"study_design_scores_gemma":[0.0000015047506,0.000014938445,0.9875657,0.0000035746978,0.000032555618,0.000015810934,0.00010228709,0.011814643,0.00020831492,0.000052445404,0.00018308806,0.0000051456113],"about_ca_topic_score_codex":0.087059356,"about_ca_topic_score_gemma":0.10039407,"teacher_disagreement_score":0.087059356,"about_ca_system_score_codex":0.0007370411,"about_ca_system_score_gemma":0.00046111658,"threshold_uncertainty_score":0.17310524},"labels":[],"label_agreement":null},{"id":"W2088431958","doi":"10.5194/bg-11-6107-2014","title":"Wind-driven changes in the ocean carbon sink","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Western Canada Research Grid; Compute Canada","keywords":"Environmental science; Sink (geography); Climatology; Global wind patterns; Atmospheric sciences; Mesoscale meteorology; Wind speed; Ocean current; Meteorology; Geology; Geography","score_opus":0.02263731467499842,"score_gpt":0.23247114503709104,"score_spread":0.20983383036209263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088431958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994626,0.000078223486,0.0035796252,0.000068716115,0.000010999654,0.000005412229,0.0010914736,0.000049516315,0.000489934],"genre_scores_gemma":[0.99799573,0.000050227947,0.0010387097,0.000009771187,0.0000041728426,0.000004715885,0.000792096,0.000011180213,0.00009341591],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998179,0.00005045786,0.000019925501,0.00006115092,0.00003337135,0.000017202019],"domain_scores_gemma":[0.9992642,0.00029583139,0.00016975276,0.00010517255,0.00013018548,0.00003481671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009544715,0.00040227943,0.0002624587,0.0005212111,0.00018509985,0.0006044155,0.0002906013,0.00039899335,0.0004917711],"category_scores_gemma":[0.0027123918,0.00029890734,0.0005593739,0.00059292867,0.0003393634,0.0010627998,0.0003026988,0.00039273268,0.000085224834],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011817706,0.000041867628,0.26830935,0.000046371973,0.00028475228,0.000072646355,0.00004429134,0.7189484,0.005150312,0.001383392,0.00038487941,0.005215634],"study_design_scores_gemma":[0.00003758389,0.000055066168,0.21466756,0.000018000543,0.000064573294,0.000044869263,0.000034520115,0.7768791,0.0056226896,0.0016734799,0.00084879034,0.00005389994],"about_ca_topic_score_codex":0.01189836,"about_ca_topic_score_gemma":0.011522381,"teacher_disagreement_score":0.01189836,"about_ca_system_score_codex":0.00065559667,"about_ca_system_score_gemma":0.0003503923,"threshold_uncertainty_score":0.023658216},"labels":[],"label_agreement":null},{"id":"W2088703667","doi":"10.5194/bg-9-5391-2012","title":"Quantitative reconstruction of sea-surface conditions over the last 150 yr in the Beaufort Sea based on dinoflagellate cyst assemblages: the role of large-scale atmospheric circulation patterns","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"European Commission","keywords":"Dinocyst; Oceanography; Geology; Arctic; Dinoflagellate; Sea surface temperature; Sea ice; Climatology; Palynology; Salinity; Ecology","score_opus":0.01912599738585441,"score_gpt":0.26688480199417197,"score_spread":0.24775880460831756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088703667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986909,0.00014518424,0.00009823404,0.000020277503,0.0000015467832,0.0000015580912,0.0007269025,0.000012041186,0.00030338488],"genre_scores_gemma":[0.99846315,0.000049248607,0.00018145295,0.000007344458,0.0000021838218,0.0000019383824,0.0011444017,0.0000026486764,0.00014768659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988794,0.00001203532,0.0000063877296,0.000039443858,0.000028303793,0.000025910478],"domain_scores_gemma":[0.99945384,0.000050901646,0.0001911137,0.000036897112,0.00016070504,0.000106523876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029799936,0.00024990068,0.00019083955,0.0010999553,0.00045649536,0.0007216776,0.0003136,0.00028521186,0.0004827616],"category_scores_gemma":[0.00050694897,0.00015390659,0.00037361303,0.00091839,0.00027355627,0.00027528673,0.00030138946,0.00018543605,0.00012587746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051621424,0.000007653568,0.9910091,0.000011831174,0.0000981424,0.000076904995,0.00021794267,0.0007537886,0.0038630948,0.000035279918,0.00015507215,0.003719411],"study_design_scores_gemma":[4.268376e-7,0.0000030027036,0.9992034,0.0000014936991,0.0000051669645,0.000011912369,0.000038057355,0.0005230834,0.00007284966,0.0000024747478,0.00013606033,0.000002030255],"about_ca_topic_score_codex":0.4490127,"about_ca_topic_score_gemma":0.59105605,"teacher_disagreement_score":0.5509873,"about_ca_system_score_codex":0.001846386,"about_ca_system_score_gemma":0.000785764,"threshold_uncertainty_score":0.8927983},"labels":[],"label_agreement":null},{"id":"W2091345097","doi":"10.5194/bg-2-323-2005","title":"Controls of the surface water partial pressure of CO <sub>2</sub> in the North Sea","year":2005,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":94,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"European Commission","keywords":"Oceanography; Stratification (seeds); Sink (geography); Mixed layer; Environmental science; Water column; Surface water; Bloom; Sea surface temperature; Climatology; Partial pressure; Atmospheric sciences; Geology; Geography; Chemistry; Oxygen; Biology","score_opus":0.010121478087050596,"score_gpt":0.19152886335160688,"score_spread":0.18140738526455627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091345097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992606,0.00014200281,0.00008691832,0.000029119707,0.0000025620125,9.857245e-7,0.00009014591,0.000005511389,0.0003821859],"genre_scores_gemma":[0.9996145,0.000070779504,0.000054549248,0.000008028416,0.0000019898196,0.0000015726034,0.00009479939,0.0000021818864,0.00015156847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999386,0.000012288776,0.0000046874193,0.00002063096,0.00001308141,0.000010735832],"domain_scores_gemma":[0.99986315,0.000023533177,0.000046106095,0.000009497343,0.0000326776,0.000025072135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013676182,0.00021518319,0.0001655533,0.00020293608,0.00020078101,0.0003812981,0.00009643703,0.00015588259,0.00049604726],"category_scores_gemma":[0.00019122078,0.00018294815,0.00016277102,0.00019414611,0.00033065988,0.000273114,0.00029521933,0.00010767733,0.000115212635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00096913904,0.000051019506,0.52725416,0.00012681769,0.00018083725,0.00056938716,0.00045354824,0.005219442,0.45291218,0.0004830948,0.00036787053,0.011412455],"study_design_scores_gemma":[0.000009980573,0.000052330633,0.99253666,0.0000023324662,0.000015116032,0.00004803219,0.00010456216,0.0018194854,0.0048137736,0.0001636341,0.00042746452,0.000006584519],"about_ca_topic_score_codex":0.012231938,"about_ca_topic_score_gemma":0.014703757,"teacher_disagreement_score":0.012231938,"about_ca_system_score_codex":0.0004464345,"about_ca_system_score_gemma":0.00025936737,"threshold_uncertainty_score":0.024321496},"labels":[],"label_agreement":null},{"id":"W2093276451","doi":"10.5194/bg-10-2747-2013","title":"Spatial variability of particle-attached and free-living bacterial diversity in surface waters from the Mackenzie River to the Beaufort Sea (Canadian Arctic)","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; European Space Agency; Agence Nationale de la Recherche; University of West Florida","keywords":"Gammaproteobacteria; Arctic; Alphaproteobacteria; Canonical correspondence analysis; Oceanography; Community structure; Temperature gradient gel electrophoresis; Environmental science; 16S ribosomal RNA; Ecology; Biology; Geology; Bacteria; Species richness","score_opus":0.016100728225212607,"score_gpt":0.20371190782454485,"score_spread":0.18761117959933224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093276451","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99793774,0.0003764785,0.00007988801,0.00003385585,0.000005927328,0.000006355505,0.00072841666,0.000006604761,0.0008246521],"genre_scores_gemma":[0.99766773,0.00023410769,0.00035719707,0.000033121967,0.000005562701,0.00000945863,0.0009255581,0.0000045053025,0.00076264923],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994816,0.000026308166,0.000018903034,0.00014066225,0.00019786468,0.00013456201],"domain_scores_gemma":[0.99910897,0.000055610264,0.00012810227,0.000022541893,0.00053046783,0.00015418873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041377105,0.00043606808,0.00045821982,0.0018948365,0.0025092592,0.0013257754,0.00066235394,0.00033914138,0.00071150286],"category_scores_gemma":[0.00062698516,0.00027080713,0.00043940332,0.0024804627,0.00077933527,0.00031830106,0.0008238778,0.00027734446,0.00011668445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022875026,0.00001962524,0.96929204,0.000116680094,0.00016003859,0.00022132174,0.0029405286,0.0003381179,0.014647083,0.00012698426,0.0005452795,0.011363653],"study_design_scores_gemma":[0.0000013815346,0.0000073989036,0.9985989,0.000007039832,0.000010697232,0.000023418801,0.0005825352,0.00010491025,0.00015359648,0.0000042952774,0.0005000038,0.0000058217447],"about_ca_topic_score_codex":0.9679556,"about_ca_topic_score_gemma":0.98387617,"teacher_disagreement_score":0.03204441,"about_ca_system_score_codex":0.007534312,"about_ca_system_score_gemma":0.0066468655,"threshold_uncertainty_score":0.06446618},"labels":[],"label_agreement":null},{"id":"W2095692297","doi":"10.5194/bg-11-7051-2014","title":"Increased winter soil temperature variability enhances nitrogen cycling and soil biotic activity in temperate heathland and grassland mesocosms","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Environmental science; Cycling; Temperate climate; Ecosystem; Nitrogen cycle; Grassland; Agronomy; Soil water; Nutrient cycle; Nutrient; Mesocosm; Terrestrial ecosystem; Snow; Nitrogen; Ecology; Soil science; Chemistry; Biology","score_opus":0.008516040959072662,"score_gpt":0.2106003576416584,"score_spread":0.20208431668258575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095692297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99981064,0.000026433261,0.00005593344,0.000005451977,0.0000017687423,0.000003698976,0.000034620043,0.000003739592,0.000057661648],"genre_scores_gemma":[0.99927396,0.000046319445,0.00029660348,0.000025786358,0.0000034105012,0.000017041679,0.00013051905,0.0000027584647,0.00020344554],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998677,0.000020949628,0.0000073039314,0.00006154227,0.000016760934,0.000025737121],"domain_scores_gemma":[0.9998233,0.000025188136,0.000039800718,0.000020564468,0.0000141582905,0.000077006844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002443735,0.00021641774,0.00031727276,0.00013973091,0.0003558102,0.00031731935,0.00024133976,0.00017351171,0.0004324377],"category_scores_gemma":[0.00017070764,0.00015359168,0.0002630396,0.0001073338,0.00031488793,0.00024586945,0.00030949552,0.0002921294,0.00006324361],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001617905,0.00024188706,0.07308103,0.000047115,0.00008429321,0.000086820546,0.00037562154,0.00041752864,0.9210765,0.000054473483,0.00009172334,0.0028251512],"study_design_scores_gemma":[0.00007935408,0.00061073445,0.97232336,0.0000059678396,0.0000517293,0.000051458974,0.00026030297,0.0025427998,0.023413481,0.000067597895,0.0005832276,0.0000099289855],"about_ca_topic_score_codex":0.011427315,"about_ca_topic_score_gemma":0.023989188,"teacher_disagreement_score":0.011427315,"about_ca_system_score_codex":0.0007159669,"about_ca_system_score_gemma":0.00036006104,"threshold_uncertainty_score":0.022721589},"labels":[],"label_agreement":null},{"id":"W2095713021","doi":"10.5194/bg-11-6471-2014","title":"Impacts of freezing and thawing dynamics on foliar litter carbon release in alpine/subalpine forests along an altitudinal gradient in the eastern Tibetan Plateau","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Litter; Montane ecology; Subalpine forest; Alpine climate; Plateau (mathematics); Growing season; Plant litter; Cycling; Ecosystem; Environmental science; Animal science; Chemistry; Ecology; Horticulture; Biology; Forestry; Geography","score_opus":0.017394671661230654,"score_gpt":0.23113028855724474,"score_spread":0.21373561689601409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095713021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998692,0.000030292256,0.000019623074,0.0000022817142,5.2431045e-7,8.499432e-7,0.000022561606,0.0000012046754,0.00005341129],"genre_scores_gemma":[0.99981457,0.000021051655,0.000032123367,0.0000040050245,0.0000011876521,0.0000017455371,0.000071221795,5.1501235e-7,0.000053591488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999064,0.000022022496,0.000007215264,0.00002532884,0.000014700843,0.000024232648],"domain_scores_gemma":[0.99971396,0.000045545246,0.00009205896,0.000010596117,0.000045348694,0.0000924651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034331752,0.00022821798,0.0001781308,0.00044873267,0.00036628824,0.0004723348,0.00017787602,0.00018150306,0.00044630858],"category_scores_gemma":[0.00026117163,0.000098859295,0.00017576333,0.00031947272,0.00023123136,0.00018939769,0.00015297254,0.000158084,0.00005050249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023373126,0.00007086208,0.9727559,0.000029911378,0.00007786864,0.00021093861,0.0003624068,0.00040281555,0.022407457,0.000028018996,0.000033694185,0.003386389],"study_design_scores_gemma":[0.0000014014339,0.000022568807,0.99945027,0.0000012707933,0.0000049232667,0.000015705176,0.00010434605,0.00027889162,0.00009491859,0.0000050371114,0.000019688168,9.606878e-7],"about_ca_topic_score_codex":0.023982944,"about_ca_topic_score_gemma":0.04637769,"teacher_disagreement_score":0.023982944,"about_ca_system_score_codex":0.0003812078,"about_ca_system_score_gemma":0.00024697348,"threshold_uncertainty_score":0.047686696},"labels":[],"label_agreement":null},{"id":"W2095761026","doi":"10.5194/bg-10-7575-2013","title":"Pan-Arctic linkages between snow accumulation and growing-season air temperature, soil moisture and vegetation","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Snow; Environmental science; Growing season; Arctic; Vegetation (pathology); Shrub; Permafrost; Climate change; Atmospheric sciences; Snowpack; Water content; Moisture; Arctic vegetation; Snow field; Climatology; Physical geography; Hydrology (agriculture); Ecology; Geography; Tundra; Snow cover; Meteorology; Geology","score_opus":0.024496535721486516,"score_gpt":0.23871967088529622,"score_spread":0.2142231351638097,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095761026","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985934,0.00012727868,0.00033854475,0.000013890263,0.000005451715,0.0000017306432,0.0003865456,0.0000064122996,0.0005267524],"genre_scores_gemma":[0.9992449,0.00005721251,0.00026833065,0.000004193434,0.0000038903613,0.0000019350034,0.0003074772,0.0000019868278,0.00011004824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998448,0.000054126267,0.000010496668,0.00004583974,0.000022031558,0.000022639402],"domain_scores_gemma":[0.9993411,0.0002391225,0.0001581242,0.000031356954,0.00015164108,0.00007867763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061068224,0.00017679486,0.00016862896,0.000554118,0.00024271531,0.00047446924,0.00008941804,0.00012993242,0.00068511645],"category_scores_gemma":[0.00086232304,0.00010432548,0.00015301457,0.0008034253,0.00012883735,0.00024491746,0.00031054832,0.00014261832,0.00010996073],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012573764,0.000017607648,0.9933795,0.000017248833,0.00009392344,0.00004172564,0.00021598735,0.00045360794,0.0019048342,0.00008200167,0.00008519347,0.003582771],"study_design_scores_gemma":[6.177552e-7,0.000010056236,0.9989963,0.0000024738385,0.000010713172,0.000016734593,0.00017138476,0.00052798435,0.00009131459,0.000026703803,0.00014448997,0.0000012152015],"about_ca_topic_score_codex":0.022034118,"about_ca_topic_score_gemma":0.03975674,"teacher_disagreement_score":0.022034118,"about_ca_system_score_codex":0.00016734721,"about_ca_system_score_gemma":0.00027880658,"threshold_uncertainty_score":0.04381174},"labels":[],"label_agreement":null},{"id":"W2096416631","doi":"10.5194/bg-4-215-2007","title":"Direct and indirect metabolic CO <sub>2</sub> release by humanity","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Science Foundation","keywords":"Chemistry; Decomposition; Respiration; Humanity; Animal science; Biochemistry; Biology; Organic chemistry; Political science; Botany; Law","score_opus":0.007210244123859882,"score_gpt":0.217940877313338,"score_spread":0.21073063318947813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096416631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97447556,0.0051322365,0.0060478086,0.00027370758,0.000047835416,0.000043200205,0.0055419826,0.000059570873,0.008378025],"genre_scores_gemma":[0.9918473,0.0014975495,0.0011928783,0.000047033922,0.000023299694,0.000039607065,0.0020073405,0.000027503962,0.0033175226],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997286,0.000088112625,0.0000144857095,0.00006203945,0.000067871755,0.000038689905],"domain_scores_gemma":[0.9993291,0.0001840938,0.00021001208,0.000056912897,0.00016102922,0.000058818874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052497076,0.00081674696,0.0002797353,0.0010672824,0.00021244957,0.00063002453,0.0002785943,0.00038119906,0.004651276],"category_scores_gemma":[0.0007861636,0.00017034408,0.0005351423,0.0012641612,0.000509584,0.00063162623,0.00075915427,0.00033764128,0.0006866728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018584417,0.00006843717,0.8366911,0.000871519,0.0011405358,0.0016484662,0.00060761784,0.00971708,0.051549125,0.003551173,0.0011059007,0.091190524],"study_design_scores_gemma":[0.000019292209,0.00025024553,0.940766,0.000076251235,0.00031598556,0.0016638245,0.0005249716,0.0048972573,0.04033272,0.002094663,0.009005743,0.000053022897],"about_ca_topic_score_codex":0.0050836606,"about_ca_topic_score_gemma":0.0080873165,"teacher_disagreement_score":0.0050836606,"about_ca_system_score_codex":0.0006507486,"about_ca_system_score_gemma":0.0003428073,"threshold_uncertainty_score":0.015560091},"labels":[],"label_agreement":null},{"id":"W2096516187","doi":"10.5194/bg-10-2885-2013","title":"Annual carbon balance of a peatland 10 yr following restoration","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Sphagnum Peat Moss Association; Université Laval","keywords":"Peat; Environmental science; Ecosystem respiration; Dissolved organic carbon; Carbon fibers; Carbon dioxide; Growing season; Hydrology (agriculture); Carbon sink; Ecosystem; Methane; Carbon cycle; Carbon sequestration; Primary production; Environmental chemistry; Chemistry; Geology; Ecology","score_opus":0.007956427087101406,"score_gpt":0.21771960220628317,"score_spread":0.20976317511918177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096516187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995258,0.000032851553,0.000054858876,0.0000020312607,0.0000020632308,0.0000037495454,0.00020587553,0.000005326851,0.00016755401],"genre_scores_gemma":[0.9984591,0.000035809677,0.0002417392,0.0000081677135,0.0000022570744,0.000008321772,0.0008048308,0.0000023332655,0.0004374579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995613,0.000004061475,0.0000040491027,0.000016262982,0.000010103696,0.000009387514],"domain_scores_gemma":[0.99984825,0.000014895042,0.000048194674,0.000011403229,0.000041183244,0.000036042307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001162205,0.00020121856,0.00023549974,0.0003475666,0.00029828816,0.00025022184,0.00016950462,0.00016170995,0.0005219613],"category_scores_gemma":[0.000114663744,0.00009136278,0.00016398205,0.00021550967,0.00015225948,0.00020682615,0.00016387312,0.00019164187,0.00013188871],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019560312,0.0005255432,0.656185,0.00008377171,0.00016623824,0.00069877197,0.00032287897,0.0014084197,0.3194978,0.00005363332,0.0002195408,0.018882405],"study_design_scores_gemma":[0.0000042831566,0.00023995969,0.9930194,0.0000022158256,0.000018380048,0.00006539252,0.000060002967,0.0006338744,0.0056460546,0.00000994059,0.0002966961,0.000003854612],"about_ca_topic_score_codex":0.007122386,"about_ca_topic_score_gemma":0.015825437,"teacher_disagreement_score":0.007122386,"about_ca_system_score_codex":0.00043700376,"about_ca_system_score_gemma":0.00020974327,"threshold_uncertainty_score":0.014161885},"labels":[],"label_agreement":null},{"id":"W2096624549","doi":"10.5194/bg-10-7913-2013","title":"Analysis of passive-sampler monitored atmospheric ammonia at 74 sites across southern Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Fertilizer; Vegetation (pathology); Agriculture; Livestock; Agricultural land; Spring (device); Physical geography; Pasture; Atmospheric sciences; Hydrology (agriculture); Geography; Ecology; Forestry; Geology; Biology; Archaeology","score_opus":0.011194356079681347,"score_gpt":0.20127133419243695,"score_spread":0.1900769781127556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096624549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920431,0.00038203155,0.0005881248,0.00005892853,0.000010186448,0.00009981715,0.0032530718,0.000028031533,0.00353668],"genre_scores_gemma":[0.9891474,0.00038415744,0.0018064039,0.00008543612,0.000008647417,0.00008103205,0.0034651905,0.000013740474,0.005007935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954885,0.000018954093,0.000017033788,0.00009572679,0.00022465065,0.000094818744],"domain_scores_gemma":[0.99896765,0.000036921036,0.00011485857,0.000019147514,0.0007362339,0.0001253208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002747783,0.00052572484,0.00035319137,0.0010011409,0.0022544307,0.0006995435,0.0006858727,0.00024891645,0.0009576141],"category_scores_gemma":[0.0005133851,0.00034722942,0.00025721188,0.0020430884,0.0005151324,0.00019216776,0.00043832042,0.0001959499,0.00021397852],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020327282,0.00004654916,0.96224463,0.00017197989,0.00009989494,0.00038989526,0.0023686476,0.00048214788,0.017451752,0.00006987777,0.0016675732,0.0148038445],"study_design_scores_gemma":[0.0000068514146,0.000024538153,0.9957241,0.000010658618,0.000018237573,0.00003787467,0.00084703753,0.00035294995,0.000595024,0.000009312362,0.002366506,0.0000068902846],"about_ca_topic_score_codex":0.98447394,"about_ca_topic_score_gemma":0.9959786,"teacher_disagreement_score":0.015526056,"about_ca_system_score_codex":0.009724797,"about_ca_system_score_gemma":0.010935285,"threshold_uncertainty_score":0.07055867},"labels":[],"label_agreement":null},{"id":"W2096661215","doi":"10.5194/bg-7-4017-2010","title":"Side effects and accounting aspects of hypothetical large-scale Southern Ocean iron fertilization","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; University of Victoria","keywords":"Iron fertilization; Human fertilization; Environmental science; Biogeochemical cycle; Oceanography; Carbon cycle; Atmospheric sciences; Phytoplankton; Climatology; Nutrient; Geology; Chemistry; Environmental chemistry; Ecology; Biology; Ecosystem; Agronomy","score_opus":0.005349279737344594,"score_gpt":0.1852974862228205,"score_spread":0.1799482064854759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096661215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98347837,0.00013569462,0.011389768,0.00030306002,0.000044307235,0.000030872994,0.00040594777,0.00014667862,0.004065233],"genre_scores_gemma":[0.99843353,0.00003585571,0.001011123,0.000030602463,0.0000049132564,0.000010132713,0.00008248863,0.000014831784,0.0003766426],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980503,0.00006580578,0.000015319174,0.000039727183,0.00003536952,0.00003865196],"domain_scores_gemma":[0.9992987,0.00034413039,0.00013044277,0.00009058655,0.00008230186,0.000053780197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061794196,0.0005066642,0.0004019904,0.00025840473,0.00041487277,0.000647232,0.00091309776,0.0009336616,0.0012556716],"category_scores_gemma":[0.0020810685,0.00030843745,0.0009239462,0.00032557672,0.0006628095,0.0008234398,0.00060593936,0.00058605365,0.00006087153],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100066034,0.000032454293,0.014797231,0.000033302913,0.000050848434,0.00024351265,0.000019757423,0.9770851,0.0040105814,0.0017993104,0.0001405795,0.0016871883],"study_design_scores_gemma":[0.00003715389,0.000093467424,0.010461788,0.000006252636,0.000047521593,0.000048481106,0.00002928374,0.9847616,0.0023372173,0.0017026912,0.00045596654,0.000018628973],"about_ca_topic_score_codex":0.022306513,"about_ca_topic_score_gemma":0.011994138,"teacher_disagreement_score":0.022306513,"about_ca_system_score_codex":0.0013680194,"about_ca_system_score_gemma":0.0010051262,"threshold_uncertainty_score":0.044353306},"labels":[],"label_agreement":null},{"id":"W2096748244","doi":"10.5194/bg-8-2009-2011","title":"Controls on winter ecosystem respiration in temperate and boreal ecosystems","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Université Laval; Trent University; Centre de Géomatique du Québec; McMaster University","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Microsoft Research; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Ecosystem respiration; Environmental science; Ecosystem; Boreal ecosystem; Eddy covariance; Boreal; Evergreen; Growing season; Taiga; Temperate climate; Atmospheric sciences; Deciduous; Terrestrial ecosystem; Carbon cycle; Ecology; Biology","score_opus":0.015821022148676943,"score_gpt":0.2024533809475207,"score_spread":0.18663235879884374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2096748244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992632,0.00018413032,0.00012180802,0.0000074668205,0.0000022575612,0.0000018201064,0.00012261605,0.000007180922,0.00028944016],"genre_scores_gemma":[0.9995352,0.000063269355,0.000106789084,0.000008253261,0.0000029046475,0.00000247064,0.00020947686,0.0000031015086,0.00006861532],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998287,0.000035921435,0.000016101289,0.00006661704,0.000020117724,0.000032551],"domain_scores_gemma":[0.9996588,0.00007059174,0.00014154849,0.000018568591,0.000038853774,0.000071634226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041377006,0.0003319574,0.00023064567,0.00033122147,0.00026289193,0.0005077128,0.00013877686,0.00013978261,0.00038784547],"category_scores_gemma":[0.00037494037,0.00014254448,0.00022655704,0.00021842736,0.00025832318,0.00029290305,0.00027763788,0.000104671766,0.000057468864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005429989,0.000064766486,0.8477182,0.00007723081,0.00020951389,0.0001300492,0.00029150065,0.0011172598,0.14004607,0.00020597121,0.0001554358,0.009440978],"study_design_scores_gemma":[0.0000021559167,0.00001920824,0.999087,0.0000012252851,0.0000064148817,0.000027008638,0.000030874144,0.0003710955,0.0003447942,0.000030440422,0.000077277175,0.0000025119552],"about_ca_topic_score_codex":0.006674351,"about_ca_topic_score_gemma":0.012350383,"teacher_disagreement_score":0.006674351,"about_ca_system_score_codex":0.00029532236,"about_ca_system_score_gemma":0.00018838585,"threshold_uncertainty_score":0.013270974},"labels":[],"label_agreement":null},{"id":"W2097780145","doi":"10.5194/bg-9-2711-2012","title":"A high-resolution record of carbon accumulation rates during boreal peatland initiation","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Lakehead University; McGill University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; European Science Foundation","keywords":"Peat; Boreal; Wetland; Marsh; Holocene; Climate change; Sea level; Environmental science; Physical geography; Oceanography; Global warming; Carbon sink; Bog; Geology; Climatology; Ecology; Geography; Paleontology","score_opus":0.024394419804926695,"score_gpt":0.26137054053554853,"score_spread":0.23697612073062185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097780145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876623,0.00027242643,0.00033467333,0.000048739937,0.000008115331,0.000014892183,0.008623576,0.00006012744,0.0029751847],"genre_scores_gemma":[0.9955605,0.000074516814,0.00042121945,0.000022163189,0.000005118109,0.000009902986,0.0033397109,0.000008536175,0.0005582625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994063,0.0000035836879,0.0000031449686,0.000018233033,0.0000138040405,0.000020650095],"domain_scores_gemma":[0.999338,0.00004032925,0.00009334959,0.000032979937,0.00037969436,0.00011561011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019585948,0.00017645535,0.00016699971,0.0011556284,0.00064617686,0.0004590833,0.00031782346,0.00020393812,0.0010628251],"category_scores_gemma":[0.00037766673,0.00010266368,0.000121572724,0.00097416627,0.00019075823,0.00021848107,0.00026352206,0.00021051521,0.00015836675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013412963,0.000030356528,0.9700215,0.00004405991,0.000072622555,0.00012445821,0.00041334814,0.00067472376,0.014451016,0.000097400545,0.0016867475,0.012249583],"study_design_scores_gemma":[0.0000012876346,0.0000034912862,0.9989349,0.0000036429042,0.000004963718,0.000015112729,0.000041472285,0.00022834116,0.00018022404,0.000004095702,0.0005794066,0.0000029585153],"about_ca_topic_score_codex":0.71221936,"about_ca_topic_score_gemma":0.9078126,"teacher_disagreement_score":0.71221936,"about_ca_system_score_codex":0.001986107,"about_ca_system_score_gemma":0.0009897716,"threshold_uncertainty_score":0.5789509},"labels":[],"label_agreement":null},{"id":"W2099206925","doi":"10.5194/bg-10-3039-2013","title":"Seamount physiography and biology in the north-east Atlantic and Mediterranean Sea","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia; Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Seamount; Oceanography; Geology; Mediterranean climate; Mediterranean sea; Geography; Archaeology","score_opus":0.0324059813408518,"score_gpt":0.24603564634343306,"score_spread":0.21362966500258126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099206925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993678,0.00013106757,0.000042597003,0.000010364417,0.0000014431256,0.0000017279218,0.00008379161,0.0000021251024,0.0003590943],"genre_scores_gemma":[0.99932325,0.00009646961,0.00013970022,0.000010127679,0.0000025949823,0.0000034265106,0.00019167973,0.0000010128099,0.00023174298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998785,0.000024826071,0.000015922087,0.00003556133,0.000023513394,0.000021650258],"domain_scores_gemma":[0.9997931,0.000020052,0.00010493399,0.000014850535,0.000040426425,0.000026671913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028305905,0.00013052252,0.00019181371,0.00096196507,0.00028479533,0.0003007878,0.00019718164,0.0001614123,0.0008824428],"category_scores_gemma":[0.00041268853,0.00008633607,0.00022881452,0.00075184176,0.00021513396,0.00030613274,0.00037399703,0.000086062835,0.00014180037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063738225,0.000009513161,0.9882776,0.00002633606,0.000054246382,0.00010812767,0.00094155705,0.0000841554,0.002576235,0.000045833545,0.00007195283,0.007740637],"study_design_scores_gemma":[4.8227224e-7,0.000008640821,0.9994727,0.0000038284143,0.0000035770506,0.00003363841,0.00026557452,0.000042139378,0.000033321296,0.000007645486,0.00012763677,8.484119e-7],"about_ca_topic_score_codex":0.01928205,"about_ca_topic_score_gemma":0.03823434,"teacher_disagreement_score":0.01928205,"about_ca_system_score_codex":0.00036369375,"about_ca_system_score_gemma":0.00022827063,"threshold_uncertainty_score":0.038339615},"labels":[],"label_agreement":null},{"id":"W2099759585","doi":"10.5194/bg-11-4271-2014","title":"Carbon cycle uncertainty in the Alaskan Arctic","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Natural Resources Canada; University of Toronto; McMaster University; Environment and Climate Change Canada","funders":"Division of Environmental Biology; Natural Sciences and Engineering Research Council of Canada; Jet Propulsion Laboratory; Sight Research UK; Global Foundation for Eating Disorders; U.S. Department of Energy; California Institute of Technology; National Aeronautics and Space Administration; Office of Polar Programs; Natural Environment Research Council; Canadian Centre for Applied Research in Cancer Control; National Science Foundation","keywords":"Primary production; Environmental science; Carbon cycle; Arctic; Carbon sink; Biosphere; Atmospheric sciences; Ecosystem respiration; Ecosystem; Carbon fibers; Permafrost; Latitude; Ecology; Geography; Biology","score_opus":0.02654409647716405,"score_gpt":0.23352140862419732,"score_spread":0.20697731214703327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2099759585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98502177,0.0015242432,0.0045780423,0.0002508176,0.00005021694,0.00000472712,0.0028057215,0.00009057152,0.005673954],"genre_scores_gemma":[0.99824584,0.00018557408,0.00057278224,0.00001947061,0.000009296986,0.000003451521,0.0008008009,0.00001057287,0.00015214969],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991291,0.00025742757,0.00007452193,0.00022975044,0.00027237862,0.000036764664],"domain_scores_gemma":[0.99809223,0.0008817666,0.00023912998,0.0002342187,0.0005016313,0.00005095573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002569494,0.00039517283,0.00030222043,0.00080460706,0.00063561246,0.0013751076,0.00027091248,0.00027333022,0.0004802331],"category_scores_gemma":[0.0046797167,0.00017109941,0.0005515221,0.0010296406,0.00039472742,0.0006506612,0.00056572276,0.00029919646,0.00007799871],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003080241,0.000021734108,0.4649509,0.00012210585,0.0008339218,0.00022804222,0.0007053381,0.49267578,0.003695482,0.0058173337,0.0011382978,0.029503088],"study_design_scores_gemma":[0.00002739006,0.00008861002,0.6487326,0.00019290834,0.00030781984,0.00028505654,0.00083090825,0.3002729,0.0049875947,0.027248533,0.01684968,0.00017603744],"about_ca_topic_score_codex":0.050321665,"about_ca_topic_score_gemma":0.03409291,"teacher_disagreement_score":0.050321665,"about_ca_system_score_codex":0.00151501,"about_ca_system_score_gemma":0.00076992007,"threshold_uncertainty_score":0.10005754},"labels":[],"label_agreement":null},{"id":"W2100150179","doi":"10.5194/bg-13-2971-2016","title":"Biogeochemical characteristics of a long-lived anticyclonic eddy in the eastern South Pacific Ocean","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Goddard Space Flight Center; Région Bretagne; Universität Bremen; Université Pierre et Marie Curie; Centre National de la Recherche Scientifique; Muséum National d'Histoire Naturelle; Agence Nationale de la Recherche; École Normale Supérieure; University College Dublin; Deutsche Forschungsgemeinschaft; University of Alberta; Fondation Veolia Environnement; Università degli Studi di Milano; Gordon and Betty Moore Foundation","keywords":"Oceanography; Mesoscale meteorology; Eddy; Anticyclone; Water mass; Oxygen minimum zone; Geology; Biogeochemical cycle; Continental shelf; Antarctic Intermediate Water; Environmental science; Upwelling; Thermohaline circulation; North Atlantic Deep Water; Geography; Meteorology; Turbulence","score_opus":0.016385346116688314,"score_gpt":0.20212670863224708,"score_spread":0.18574136251555876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100150179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938405,0.00004130144,0.00003039064,0.000012629715,0.000002409589,0.0000037330624,0.00013707955,0.000003928959,0.00038444216],"genre_scores_gemma":[0.9993812,0.000043682627,0.000107711094,0.0000119551905,0.0000048707916,0.0000062032586,0.0002599857,0.0000021607761,0.00018231374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995923,0.0000030687934,0.000004138123,0.000014720054,0.00001107249,0.000007770489],"domain_scores_gemma":[0.99980456,0.000024536332,0.00005724608,0.000009875678,0.000051554136,0.000052212756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001072177,0.00017378226,0.00014478105,0.00052401714,0.00038384943,0.0003812143,0.00014006854,0.00021398852,0.0005216311],"category_scores_gemma":[0.00022871964,0.00012606123,0.0001200965,0.00052359595,0.00018575208,0.00020857084,0.00028478497,0.00016994061,0.00009307251],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014543755,0.00007486869,0.9506445,0.0000508884,0.00006775999,0.0005707093,0.00049960014,0.000554817,0.0390702,0.000056079512,0.0003758179,0.007889266],"study_design_scores_gemma":[0.0000041312906,0.000012062371,0.9988483,0.000003276943,0.0000051347174,0.000031478172,0.00012885757,0.0005103376,0.00025286947,0.000005630066,0.00019620571,0.0000016762865],"about_ca_topic_score_codex":0.021661991,"about_ca_topic_score_gemma":0.03521952,"teacher_disagreement_score":0.021661991,"about_ca_system_score_codex":0.0003612949,"about_ca_system_score_gemma":0.0002602358,"threshold_uncertainty_score":0.043071806},"labels":[],"label_agreement":null},{"id":"W2100191041","doi":"10.5194/bg-9-1217-2012","title":"Carbon dynamics in the western Arctic Ocean: insights from full-depth carbon isotope profiles of DIC, DOC, and POC","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Ocean Life Institute, Woods Hole Oceanographic Institution; Woods Hole Oceanographic Institution","keywords":"Arctic; Dissolved organic carbon; Oceanography; Carbon cycle; Isotopes of carbon; Environmental science; Total organic carbon; Total inorganic carbon; Carbon fibers; Canada Basin; Ecosystem; Geology; Carbon dioxide; Environmental chemistry; Chemistry; Ecology; Biology","score_opus":0.011519267502317965,"score_gpt":0.20652294532163162,"score_spread":0.19500367781931366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100191041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99706984,0.0006490089,0.00030077324,0.000030870637,0.000006080331,0.000002704393,0.0006940401,0.0000072028824,0.0012395025],"genre_scores_gemma":[0.9978027,0.0004872522,0.0008627683,0.000026975566,0.000004852984,0.0000021724636,0.00049690926,0.000005938248,0.0003104222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996626,0.0000023530858,0.0000020900734,0.000009840965,0.000011509643,0.000007822098],"domain_scores_gemma":[0.99993575,0.000004271417,0.000009260031,0.0000031275517,0.000035556888,0.000011971308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010288468,0.00030835453,0.00020331547,0.0004919889,0.00047854788,0.00057621207,0.000102273414,0.00016212107,0.00035899816],"category_scores_gemma":[0.0001193492,0.00017381905,0.00013493923,0.0005959166,0.00015953985,0.0003019618,0.00025292044,0.00015513362,0.00009124942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033411037,0.000058170026,0.75076014,0.00014558957,0.00019914999,0.0002592038,0.00046947048,0.0019576754,0.21745187,0.00035251043,0.000339592,0.027672533],"study_design_scores_gemma":[0.000004478881,0.000027528647,0.98797834,0.000014036932,0.000045525136,0.000087537184,0.00025664308,0.0031086425,0.006675095,0.00012599875,0.0016639276,0.000012172142],"about_ca_topic_score_codex":0.13988635,"about_ca_topic_score_gemma":0.2678273,"teacher_disagreement_score":0.13988635,"about_ca_system_score_codex":0.0005920719,"about_ca_system_score_gemma":0.000754611,"threshold_uncertainty_score":0.27814424},"labels":[],"label_agreement":null},{"id":"W2101131925","doi":"10.5194/bg-9-4309-2012","title":"Anammox, denitrification and fixed-nitrogen removal in sediments from the Lower St. Lawrence Estuary","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Danmarks Grundforskningsfond","keywords":"Anammox; Denitrification; Estuary; Environmental science; Nitrogen; Oceanography; Hydrology (agriculture); Environmental chemistry; Geology; Chemistry; Denitrifying bacteria; Geotechnical engineering","score_opus":0.016636230602356847,"score_gpt":0.2269506407435024,"score_spread":0.21031441014114555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101131925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990734,0.000094945986,0.000058169146,0.00001809049,0.0000020615416,0.0000026073653,0.00022136192,0.000008454085,0.0005209477],"genre_scores_gemma":[0.9979371,0.00011034783,0.00018910461,0.000031574054,0.0000018128522,0.0000057761195,0.0006567573,0.0000032007363,0.0010645051],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998293,0.000016093774,0.000017426564,0.000041386884,0.000051158204,0.000044684857],"domain_scores_gemma":[0.9998171,0.00001568893,0.000053437598,0.0000056794556,0.000067987436,0.000040282033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018355236,0.00031104908,0.00025040391,0.00068841776,0.0009449085,0.0006750215,0.00023858038,0.00029123563,0.00041924886],"category_scores_gemma":[0.00021065839,0.00029597065,0.00016498158,0.00066461606,0.00034183887,0.0002037601,0.00031954644,0.00029289746,0.00016307738],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008032436,0.00017798734,0.72812253,0.00027295388,0.00013436278,0.00045368556,0.0015300501,0.0012161678,0.2566647,0.00014007355,0.00032430617,0.010159884],"study_design_scores_gemma":[0.000012295814,0.00014674196,0.9866158,0.000013043679,0.000026046253,0.000052694722,0.0003311784,0.00074590114,0.011046473,0.000019707148,0.0009829454,0.000007137361],"about_ca_topic_score_codex":0.31128615,"about_ca_topic_score_gemma":0.5947697,"teacher_disagreement_score":0.31128615,"about_ca_system_score_codex":0.0019373667,"about_ca_system_score_gemma":0.0013471608,"threshold_uncertainty_score":0.6189485},"labels":[],"label_agreement":null},{"id":"W2101424512","doi":"10.5194/bg-11-5399-2014","title":"Carbon and greenhouse gas balances in an age sequence of temperate pine plantations","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Toronto and Region Conservation Authority; McMaster University","funders":"Canadian Forest Service; Ministry of Environment; Canadian Foundation for Climate and Atmospheric Sciences; BIOCAP Canada; U.S. Forest Service; Ministry of Education, India; McMaster University; McGill University; Ontario Innovation Trust; Natural Resources Canada; Ministry of Natural Resources","keywords":"Environmental science; Greenhouse gas; Ecosystem; Ecosystem respiration; Soil respiration; Carbon dioxide; Primary production; Litter; Eddy covariance; Temperate climate; Nitrous oxide; Soil carbon; Hydrology (agriculture); Ecology; Soil water; Soil science; Biology; Geology","score_opus":0.013940292464718777,"score_gpt":0.22642516341399774,"score_spread":0.21248487094927895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101424512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99969375,0.00005225922,0.000024917159,0.0000016353847,4.735011e-7,0.000001202841,0.000089057154,0.0000010441577,0.00013573354],"genre_scores_gemma":[0.9991855,0.000041186766,0.00008767827,0.0000075545663,0.0000017697871,0.0000033535591,0.00041577057,0.0000010763506,0.0002560345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991965,0.000008112476,0.000005617645,0.000023594892,0.000020338848,0.000022687309],"domain_scores_gemma":[0.9997445,0.000018559876,0.00009547681,0.00001144986,0.00007100034,0.00005898283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017727529,0.00017435853,0.00012345496,0.00045722327,0.00039176457,0.00030957075,0.00012801503,0.00011879534,0.0003818774],"category_scores_gemma":[0.00025388369,0.000094124705,0.0001052578,0.00027143164,0.000173663,0.00020721697,0.0001580602,0.00008797002,0.00011550083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012017997,0.000024287983,0.98106945,0.000008610029,0.00002381167,0.00009115629,0.00025326115,0.00014237032,0.015026393,0.000030108351,0.000049931663,0.0031603696],"study_design_scores_gemma":[5.993913e-7,0.000009970145,0.9996124,4.91073e-7,0.0000020184943,0.00002144963,0.00004462321,0.00006258421,0.00014951003,0.000006579025,0.00008900881,7.5825244e-7],"about_ca_topic_score_codex":0.09113419,"about_ca_topic_score_gemma":0.28290966,"teacher_disagreement_score":0.09113419,"about_ca_system_score_codex":0.0009603158,"about_ca_system_score_gemma":0.00041849836,"threshold_uncertainty_score":0.18120748},"labels":[],"label_agreement":null},{"id":"W2101474062","doi":"10.5194/bg-11-6525-2014","title":"CO <sub>2</sub> and CH <sub>4</sub> in sea ice from a subarctic fjord under influence of riverine input","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Excellence Research Chairs, Government of Canada; Fonds De La Recherche Scientifique - FNRS; Royal Society; ArcticNet; University of Manitoba","keywords":"AMP-activated protein kinase; Subarctic climate; Chemistry; Endocrinology; Internal medicine; Animal science; Biology; Oceanography; AMPK; Biochemistry; Geology; Protein kinase A; Medicine; Enzyme","score_opus":0.008351688045347633,"score_gpt":0.20265679594338112,"score_spread":0.19430510789803349,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101474062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997788,0.000030015819,0.000008259792,0.0000035228838,7.3224436e-7,4.14306e-7,0.00008961222,0.0000013289413,0.000087302],"genre_scores_gemma":[0.9993986,0.000041022035,0.000026744918,0.000008576164,0.000001959956,0.0000012167762,0.00036385556,0.0000018950929,0.00015623882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993217,0.0000072494677,0.0000046772434,0.000018848285,0.0000106677,0.000026420847],"domain_scores_gemma":[0.99989426,0.000014447957,0.000030479636,0.000006067646,0.00002793146,0.000026774007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015324733,0.0003152514,0.00028474917,0.00064345193,0.00045651867,0.00062845985,0.00019604259,0.00022483658,0.000497722],"category_scores_gemma":[0.00014271082,0.00015424965,0.00023059553,0.00055506,0.00036202552,0.00021042168,0.0002732122,0.00015644888,0.00011776267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002727032,0.00004248006,0.9809699,0.000039731603,0.00012611406,0.00085882697,0.0003628507,0.00078935747,0.013495405,0.000027311558,0.00011921124,0.0028962037],"study_design_scores_gemma":[0.0000016677214,0.000007503555,0.9990441,0.0000019939027,0.000012269123,0.00003257572,0.00019192357,0.00025530515,0.00035840913,0.0000044673425,0.00008847755,0.0000012914059],"about_ca_topic_score_codex":0.13450065,"about_ca_topic_score_gemma":0.18858927,"teacher_disagreement_score":0.13450065,"about_ca_system_score_codex":0.001050605,"about_ca_system_score_gemma":0.0005272741,"threshold_uncertainty_score":0.26743555},"labels":[],"label_agreement":null},{"id":"W2101701661","doi":"10.5194/bg-5-1259-2008","title":"The impact of lateral carbon fluxes on the European carbon balance","year":2006,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Carbon sink; Environmental science; Carbon fibers; Sink (geography); Carbon cycle; Ecosystem; Total organic carbon; Estuary; Oceanography; Carbon flux; Atmospheric sciences; Climate change; Geology; Ecology; Geography; Biology","score_opus":0.005473381256100506,"score_gpt":0.19560086820698483,"score_spread":0.19012748695088433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101701661","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9590701,0.0034543495,0.008184621,0.0011041296,0.000071322334,0.000012303073,0.0016568833,0.00014602607,0.026300222],"genre_scores_gemma":[0.9968286,0.0006652742,0.0010419028,0.00012215995,0.000016168082,0.0000072381267,0.0005585758,0.000026270984,0.0007338231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993755,0.00022401506,0.00004558522,0.00015699411,0.00012296607,0.00007491545],"domain_scores_gemma":[0.99902594,0.00037458053,0.00019132652,0.0000918648,0.00025221883,0.00006401207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014366994,0.0008466956,0.0003034822,0.0010973937,0.00045981558,0.0016554396,0.00023254353,0.00075622706,0.0025441295],"category_scores_gemma":[0.0022863029,0.00018532468,0.00073521055,0.0015454649,0.0006775228,0.001690734,0.0013647928,0.00039326018,0.000302509],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087895,0.00007485545,0.43457338,0.00058278,0.0013791134,0.0014014312,0.00033314567,0.33186322,0.054434888,0.06547943,0.0025947478,0.106404066],"study_design_scores_gemma":[0.00012449555,0.00022381841,0.69317275,0.00033035545,0.0009553424,0.00093770155,0.0006659368,0.16787641,0.026728405,0.06559499,0.043164186,0.00022562267],"about_ca_topic_score_codex":0.010234092,"about_ca_topic_score_gemma":0.006293786,"teacher_disagreement_score":0.010234092,"about_ca_system_score_codex":0.0015059235,"about_ca_system_score_gemma":0.0005534851,"threshold_uncertainty_score":0.020349026},"labels":[],"label_agreement":null},{"id":"W2101970201","doi":"10.5194/bg-7-3517-2010","title":"McGill wetland model: evaluation of a peatland carbon simulator developed for global assessments","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Carleton University; Trent University; McGill University","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Primary production; Ombrotrophic; Bog; Peat; Ecosystem respiration; Environmental science; Carbon sink; Wetland; Carbon cycle; Soil respiration; Chronosequence; Ecosystem; Hydrology (agriculture); Atmospheric sciences; Ecology; Soil science; Soil water; Geology; Biology","score_opus":0.04072670847933396,"score_gpt":0.33009467431010064,"score_spread":0.2893679658307667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101970201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9280366,0.00027237463,0.03295011,0.0006980162,0.00018520564,0.00041865816,0.011550856,0.004952499,0.02093576],"genre_scores_gemma":[0.9612727,0.00008048056,0.03153573,0.00012728115,0.000017393742,0.00020538676,0.0044942964,0.0004788044,0.0017878201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996686,0.00012000872,0.000016822974,0.000056464516,0.00008554776,0.000052523013],"domain_scores_gemma":[0.9987685,0.0004683955,0.000079672194,0.00011326381,0.00037472515,0.00019551297],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017265002,0.0010335324,0.0005557805,0.00044733268,0.0005777466,0.0006605419,0.0030818118,0.00084203517,0.003228836],"category_scores_gemma":[0.0029363197,0.00041456323,0.00051792245,0.0005901184,0.0003397054,0.0009562597,0.0007055575,0.000744341,0.00034672298],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033088963,0.00012623577,0.012011809,0.000079732534,0.00009020596,0.00015172118,0.00006022828,0.96705115,0.0026167324,0.0015273662,0.0034563984,0.0124975145],"study_design_scores_gemma":[0.00008513567,0.000048964186,0.0018594727,0.0000062300746,0.000018939969,0.000008174126,0.000016554397,0.99616504,0.0007719184,0.00013448078,0.0008664154,0.000018702109],"about_ca_topic_score_codex":0.42384928,"about_ca_topic_score_gemma":0.37330016,"teacher_disagreement_score":0.42384928,"about_ca_system_score_codex":0.0032541598,"about_ca_system_score_gemma":0.003719536,"threshold_uncertainty_score":0.8427644},"labels":[],"label_agreement":null},{"id":"W2102906774","doi":"10.5194/bg-10-4607-2013","title":"Improving North American terrestrial CO <sub>2</sub> flux diagnosis using spatial structure in land surface model residuals","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Pennsylvania State University; National Oceanic and Atmospheric Administration; University of Pennsylvania; Office of Science; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Eddy covariance; Environmental science; Atmospheric sciences; Spatial variability; Flux (metallurgy); Photosynthetically active radiation; Spatial ecology; Residual; Ecosystem respiration; Covariance; Climatology; Ecosystem; Mathematics; Statistics; Geology; Ecology; Photosynthesis; Chemistry","score_opus":0.009510059959528694,"score_gpt":0.2113446828355349,"score_spread":0.2018346228760062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102906774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.975199,0.00004359471,0.02360158,0.000076387296,0.0000034529016,0.0000071935146,0.00024304278,0.00038514833,0.0004406379],"genre_scores_gemma":[0.99104345,0.000009030003,0.008532778,0.0000068340905,0.0000017723637,0.0000020273078,0.00032545827,0.000019332894,0.000059330243],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997212,0.00010629702,0.000015599391,0.000086298125,0.000044730503,0.000025843134],"domain_scores_gemma":[0.99896574,0.00043615754,0.00015146895,0.00013429543,0.00027121624,0.0000411281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001094582,0.00040788212,0.0002937949,0.00062351517,0.00019493653,0.00058210443,0.000317359,0.00025366255,0.00044779945],"category_scores_gemma":[0.003966812,0.00015816995,0.00027374516,0.0004464896,0.00019031132,0.000515805,0.00034047707,0.00021409077,0.00013652626],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036767247,0.00011896359,0.52851844,0.00003777161,0.00019888216,0.000101868834,0.00012238503,0.36920685,0.011408092,0.00090376765,0.0009514945,0.08806381],"study_design_scores_gemma":[0.000013582012,0.000022353308,0.055237103,0.0000036133772,0.000019163353,0.000017394435,0.00004706685,0.9420615,0.0021120973,0.00030267556,0.0001560403,0.000007482709],"about_ca_topic_score_codex":0.039894763,"about_ca_topic_score_gemma":0.05713747,"teacher_disagreement_score":0.039894763,"about_ca_system_score_codex":0.0005635864,"about_ca_system_score_gemma":0.00067902834,"threshold_uncertainty_score":0.07932508},"labels":[],"label_agreement":null},{"id":"W2103170539","doi":"10.5194/bg-5-433-2008","title":"Quality control of CarboEurope flux data – Part 1: Coupling footprint analyses with flux data quality assessment to evaluate sites in forest ecosystems","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":258,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Office of Science; European Commission; U.S. Department of Energy","keywords":"Eddy covariance; Footprint; Data quality; Terrain; Environmental science; Flux (metallurgy); Data set; Remote sensing; Data mining; Computer science; Geography; Cartography; Engineering; Ecosystem; Artificial intelligence; Ecology","score_opus":0.1860835733960208,"score_gpt":0.37431288554373354,"score_spread":0.18822931214771274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103170539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90026945,0.00014180604,0.09507177,0.00004672754,0.00000835468,0.0002830421,0.002589347,0.0004880577,0.001101474],"genre_scores_gemma":[0.9282698,0.000036769958,0.067532666,0.000011588801,0.000006033845,0.00014044538,0.0036543082,0.00005698563,0.00029138534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972573,0.0011090816,0.00022790897,0.00050974777,0.00074813975,0.00014790052],"domain_scores_gemma":[0.9924096,0.0029642922,0.00093052496,0.001368074,0.0021117125,0.00021568553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057555703,0.00052268646,0.00061087986,0.0023719345,0.00046216833,0.001164052,0.000725772,0.00047134623,0.000763269],"category_scores_gemma":[0.012602926,0.00021058207,0.0005217959,0.0023582187,0.00050885935,0.0009122864,0.00093139417,0.00023760175,0.00013436428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006566763,0.00023544824,0.7026255,0.00020220573,0.00028492472,0.00020232511,0.00041765912,0.09549018,0.015828997,0.00095231767,0.0010430987,0.18206069],"study_design_scores_gemma":[0.00010358369,0.00030898495,0.6359335,0.000041428637,0.00009808678,0.00021110284,0.00048267088,0.33337274,0.025687877,0.0011793667,0.002511224,0.00006936469],"about_ca_topic_score_codex":0.022575403,"about_ca_topic_score_gemma":0.026444027,"teacher_disagreement_score":0.022575403,"about_ca_system_score_codex":0.000768398,"about_ca_system_score_gemma":0.00088313385,"threshold_uncertainty_score":0.04488802},"labels":[],"label_agreement":null},{"id":"W2103712308","doi":"10.5194/bg-13-4359-2016","title":"Modeling <i>p</i> CO <sub>2</sub> variability in the Gulf of Mexico","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Biogeochemical cycle; Environmental science; Sink (geography); Carbon cycle; Carbon sink; Oceanography; Ecosystem model; Atmospheric sciences; Climatology; Ecosystem; Chemistry; Geology; Environmental chemistry; Climate change; Ecology; Biology; Geography","score_opus":0.016425335412709914,"score_gpt":0.20786311341699484,"score_spread":0.19143777800428494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103712308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99657476,0.000091479866,0.0013644084,0.0001450984,0.000011249282,0.000012363628,0.00065256684,0.00008853605,0.0010595048],"genre_scores_gemma":[0.9981566,0.000075752374,0.00112121,0.00001965869,0.000004093288,0.0000148000645,0.0004013397,0.000009937507,0.00019658361],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995077,0.000010623684,0.0000027065976,0.000018017563,0.0000055157802,0.000012412375],"domain_scores_gemma":[0.9998288,0.00006472059,0.000043370786,0.000012348325,0.00003248086,0.000018124587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025016576,0.00036635215,0.00022919248,0.00034246923,0.00043057188,0.0006251173,0.000609136,0.00059448817,0.000662712],"category_scores_gemma":[0.00056048954,0.00021227503,0.00043980477,0.00043249357,0.00028718245,0.00041788464,0.00029508115,0.00039477955,0.00006175905],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015169565,0.00009728468,0.10798081,0.00004145705,0.00013729338,0.00016590398,0.000063378706,0.8828389,0.0023406344,0.0008644847,0.00077593775,0.0045422893],"study_design_scores_gemma":[0.00008792198,0.0000585159,0.033994623,0.0000125195465,0.000059296475,0.000020208017,0.000074812364,0.96320975,0.001124587,0.0002968584,0.0010461296,0.000014824161],"about_ca_topic_score_codex":0.21635456,"about_ca_topic_score_gemma":0.12433962,"teacher_disagreement_score":0.21635456,"about_ca_system_score_codex":0.0020017142,"about_ca_system_score_gemma":0.0010276102,"threshold_uncertainty_score":0.43019044},"labels":[],"label_agreement":null},{"id":"W2104279177","doi":"10.5194/bg-10-8233-2013","title":"Simulating boreal forest carbon dynamics after stand-replacing fire disturbance: insights from a global process-based vegetation model","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"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; Centre National de la Recherche Scientifique; Natural Resources Canada; Université Laval; National Science Foundation; European Space Agency; Microsoft Research; U.S. Department of Energy","keywords":"Chronosequence; Environmental science; Carbon sink; Basal area; Taiga; Primary production; Coarse woody debris; Boreal; Atmospheric sciences; Vegetation (pathology); Carbon sequestration; Forest ecology; Carbon cycle; Ecosystem; Forestry; Fire regime; Ecology; Soil science; Carbon dioxide; Geography; Geology; Soil water","score_opus":0.005224488242432574,"score_gpt":0.2149136088471047,"score_spread":0.20968912060467212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104279177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99212635,0.000065333086,0.004820713,0.00008086269,0.000014713514,0.000015618063,0.0004124432,0.00011017649,0.0023537772],"genre_scores_gemma":[0.99758565,0.000031248845,0.0019105396,0.000013856885,0.0000034510908,0.000012205077,0.00021871485,0.000011862792,0.00021236792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989355,0.000037152935,0.000005486919,0.000028792148,0.000013113658,0.000021845623],"domain_scores_gemma":[0.99967325,0.0001531176,0.00003659734,0.000034829765,0.000054874083,0.00004737421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005543589,0.0006517131,0.0004300536,0.00031917257,0.0004659962,0.0006907353,0.000725642,0.00075446424,0.0008058732],"category_scores_gemma":[0.00081200403,0.00024392748,0.00068427436,0.00037852296,0.0005325495,0.0006300017,0.00040978673,0.00046094166,0.00005986623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003471127,0.000032405223,0.008238923,0.0000069253447,0.000021675174,0.000025799109,0.000012640943,0.9900787,0.0004049002,0.00035048212,0.00006430465,0.0007285428],"study_design_scores_gemma":[0.00002037416,0.00003092426,0.003368947,0.0000015578496,0.000010005123,0.000007691309,0.000015612133,0.9961145,0.00012521914,0.0002039293,0.0000956245,0.000005544171],"about_ca_topic_score_codex":0.09950815,"about_ca_topic_score_gemma":0.06700292,"teacher_disagreement_score":0.09950815,"about_ca_system_score_codex":0.0013528366,"about_ca_system_score_gemma":0.00081675086,"threshold_uncertainty_score":0.19785792},"labels":[],"label_agreement":null},{"id":"W2105697082","doi":"10.5194/bg-6-375-2009","title":"The role of ocean transport in the uptake of anthropogenic CO <sub>2</sub>","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Carbon cycle; Environmental science; Ocean current; Pulse (music); Deep sea; Pacific ocean; Atmospheric sciences; Climatology; Carbon dioxide; Ocean general circulation model; Oceanography; Radiocarbon dating; Oceanic basin; Climate change; Chemistry; General Circulation Model; Geology; Physics; Biology; Structural basin","score_opus":0.005421643101573165,"score_gpt":0.20325044317688554,"score_spread":0.19782880007531237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105697082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995983,0.00015997201,0.001276717,0.00024931162,0.000022367369,0.0000055395444,0.00038241872,0.00005193323,0.0018688058],"genre_scores_gemma":[0.9993326,0.000079140525,0.00023672036,0.000023720339,0.00000433499,0.0000032320831,0.00016254369,0.000014241836,0.00014337948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998642,0.00004236873,0.000009422366,0.000031575077,0.000023145936,0.00002927562],"domain_scores_gemma":[0.9996245,0.0001785604,0.000060389524,0.00002929837,0.000064603104,0.00004259791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035350092,0.00064723974,0.00026670002,0.00029381624,0.0003048001,0.00094431493,0.00044222292,0.0007492183,0.0010680534],"category_scores_gemma":[0.0011927832,0.00029682435,0.0007970071,0.00039928293,0.00039392937,0.0007689173,0.0005492362,0.00037246454,0.00013656558],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003253054,0.00009553204,0.15502937,0.00008894398,0.0003407926,0.00016669968,0.000058367503,0.82067776,0.016995411,0.0015640382,0.00044615357,0.0042116297],"study_design_scores_gemma":[0.00007880984,0.00018492773,0.09329836,0.0000131827355,0.00014313716,0.000048429953,0.000112003465,0.89637405,0.007808216,0.0009087084,0.0009883428,0.000041833522],"about_ca_topic_score_codex":0.03921464,"about_ca_topic_score_gemma":0.020485876,"teacher_disagreement_score":0.03921464,"about_ca_system_score_codex":0.0012221374,"about_ca_system_score_gemma":0.00085677,"threshold_uncertainty_score":0.07797277},"labels":[],"label_agreement":null},{"id":"W2106402319","doi":"10.5194/bg-6-1105-2009","title":"Evidence for surface organic matter modulation of air-sea CO <sub>2</sub> gas exchange","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek","keywords":"Wind speed; Flux (metallurgy); Organic matter; Dissolved organic carbon; Environmental science; Total organic carbon; Atmosphere (unit); Atmospheric sciences; Carbon dioxide; Chemistry; Environmental chemistry; Oceanography; Meteorology; Geology; Physics","score_opus":0.019828732932242434,"score_gpt":0.23747931759139626,"score_spread":0.21765058465915382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106402319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973465,0.0006349941,0.00073772005,0.000042427862,0.0000093019435,0.000004619438,0.00023430142,0.000015345819,0.0009747057],"genre_scores_gemma":[0.999186,0.00017944396,0.00027719556,0.000019822888,0.000004591777,0.0000029846194,0.00019530112,0.0000040233285,0.00013053756],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987555,0.000017264494,0.000009420226,0.000036543744,0.00003803436,0.000023176062],"domain_scores_gemma":[0.999326,0.0002293423,0.00020063296,0.00003995201,0.00014715792,0.000057029316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017745032,0.00029772703,0.00018750489,0.0003545639,0.000163983,0.00048079304,0.00018317383,0.0002748278,0.0013557263],"category_scores_gemma":[0.00043540765,0.0001461601,0.00017451006,0.00040578438,0.00048619098,0.00024598528,0.0003245664,0.00018671808,0.00020991411],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009070551,0.000050429426,0.19213761,0.00033346412,0.00016204563,0.00036217386,0.000070299815,0.00039592836,0.7975197,0.00019207512,0.00010598324,0.0077632647],"study_design_scores_gemma":[0.000016370406,0.000116632575,0.9280918,0.000012465283,0.00006466537,0.000115102295,0.00010893612,0.0012402455,0.06961881,0.00016947748,0.00043966246,0.0000057665634],"about_ca_topic_score_codex":0.003237834,"about_ca_topic_score_gemma":0.002795142,"teacher_disagreement_score":0.003237834,"about_ca_system_score_codex":0.00021316766,"about_ca_system_score_gemma":0.00021472266,"threshold_uncertainty_score":0.006438017},"labels":[],"label_agreement":null},{"id":"W2106774837","doi":"10.5194/bg-12-5143-2015","title":"Environmental forcing does not induce diel or synoptic variation in the carbon isotope content of forest soil respiration","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University; Dalhousie University","funders":"Biological and Environmental Research; U.S. Department of Energy; Division of Emerging Frontiers; Utah State University; Office of Science; Office of Experimental Program to Stimulate Competitive Research; National Science Foundation","keywords":"Diel vertical migration; Soil respiration; Environmental science; Soil carbon; Soil horizon; Soil gas; δ13C; Soil science; Carbon cycle; Atmospheric sciences; Environmental chemistry; Stable isotope ratio; Soil water; Chemistry; Ecology; Geology; Ecosystem; Biology","score_opus":0.03477664409292617,"score_gpt":0.21781024133150279,"score_spread":0.18303359723857662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2106774837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986298,0.000082504615,0.0002698183,0.000032968732,0.0000054815837,0.000009800248,0.00019228099,0.000017868673,0.0007594707],"genre_scores_gemma":[0.9994055,0.000028823551,0.00011187088,0.0000366881,0.0000047981885,0.000018890601,0.00024322065,0.000005663588,0.00014466155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988246,0.000016446538,0.000009184886,0.000049195958,0.000018250099,0.00002448579],"domain_scores_gemma":[0.99941456,0.000116700605,0.00017654471,0.00008863648,0.00011076485,0.00009270191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026236486,0.00014301487,0.00024963444,0.00024580103,0.0003895203,0.00035697268,0.00017884199,0.00025164345,0.00067568093],"category_scores_gemma":[0.00059634924,0.00024312966,0.00017961787,0.00016228408,0.00028714878,0.00017177682,0.00046196728,0.00027647984,0.00011158923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002772556,0.00012842556,0.8003977,0.00007871953,0.00022763181,0.00013714365,0.00026570403,0.0009724848,0.18800907,0.00020286154,0.0006320052,0.008670971],"study_design_scores_gemma":[0.0000024662943,0.000018392739,0.99838996,0.0000016968788,0.0000058005444,0.000020804608,0.000026584083,0.00054951594,0.00073141727,0.000018994548,0.0002321392,0.0000023466891],"about_ca_topic_score_codex":0.006295591,"about_ca_topic_score_gemma":0.01758554,"teacher_disagreement_score":0.006295591,"about_ca_system_score_codex":0.0005902914,"about_ca_system_score_gemma":0.00021755397,"threshold_uncertainty_score":0.0125178695},"labels":[],"label_agreement":null},{"id":"W2107303902","doi":"10.5194/bg-10-5911-2013","title":"Multivariate benthic ecosystem functioning in the Arctic – benthic fluxes explained by environmental parameters in the southeastern Beaufort Sea","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Fonds Québécois de la Recherche sur la Nature et les Technologies; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; ArcticNet; European Space Agency; Institut national des sciences de l'Univers; Université du Québec à Rimouski","keywords":"Benthic zone; Environmental science; Biogeochemical cycle; Oceanography; Arctic; Ecosystem; Bioturbation; Bottom water; Spatial variability; Sediment; Environmental chemistry; Ecology; Geology; Chemistry","score_opus":0.013533713493336728,"score_gpt":0.1876202355660112,"score_spread":0.17408652207267447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107303902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994572,0.000053665393,0.00022407739,0.00001933047,0.0000023530094,9.030486e-7,0.000120151664,0.0000122145475,0.00011006931],"genre_scores_gemma":[0.99958485,0.000019297795,0.00012819679,0.0000063285315,0.0000026218493,0.0000016453934,0.00019832116,0.0000036646331,0.000055064076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965143,0.00012588134,0.000019333675,0.0000932092,0.00004734035,0.000062808],"domain_scores_gemma":[0.9992355,0.0002753431,0.0002231726,0.000074904245,0.00010286759,0.00008815967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010798008,0.0008144613,0.00058697263,0.0007279491,0.0006208937,0.0010617661,0.00029577684,0.0003270538,0.0006624622],"category_scores_gemma":[0.001057831,0.0003900814,0.0011857654,0.00069072674,0.00040841964,0.00036598617,0.0004522318,0.0002707813,0.000095488096],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025309453,0.000041057232,0.9711156,0.000017876568,0.00047591465,0.00025991467,0.00018685672,0.017425653,0.0064762984,0.0001175868,0.00019912847,0.0034310736],"study_design_scores_gemma":[0.000003004629,0.000016246868,0.98224235,0.000002992578,0.000024203951,0.00002964846,0.00005177899,0.017416712,0.000093636314,0.00003869736,0.00007304055,0.000007684892],"about_ca_topic_score_codex":0.17845118,"about_ca_topic_score_gemma":0.1626994,"teacher_disagreement_score":0.17845118,"about_ca_system_score_codex":0.0011526297,"about_ca_system_score_gemma":0.00066635455,"threshold_uncertainty_score":0.35482496},"labels":[],"label_agreement":null},{"id":"W2107885207","doi":"10.5194/bg-9-203-2012","title":"Contrasting biogeochemistry of nitrogen in the Atlantic and Pacific Oxygen Minimum Zones","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Denitrification; Biogeochemistry; Oxygen minimum zone; Nitrogen; Isotopes of nitrogen; Oceanography; Nitrate; Nitrification; Isotopes of oxygen; Isotope fractionation; Cape verde; Environmental chemistry; Fractionation; Environmental science; Chemistry; Geology; Geochemistry; Upwelling","score_opus":0.013845070590992485,"score_gpt":0.1976826210798071,"score_spread":0.18383755048881462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107885207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946934,0.00007662319,0.00004200751,0.000009280194,7.2129455e-7,7.3984313e-7,0.000056261706,0.0000014286863,0.00034356932],"genre_scores_gemma":[0.99945563,0.00007501448,0.00010176295,0.000010792368,0.0000020518173,0.0000034559744,0.00023077917,0.0000017817982,0.00011879664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992347,0.000008625612,0.0000046961,0.000021027681,0.000017168892,0.000025045232],"domain_scores_gemma":[0.99981886,0.000025673866,0.00007055794,0.000007736539,0.00004288519,0.000034306257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010898366,0.00014890435,0.00015545955,0.000558674,0.00032875253,0.00040986764,0.00018917893,0.00016278824,0.0004911398],"category_scores_gemma":[0.00032617696,0.00012718885,0.00011392668,0.0004269842,0.00031831046,0.0002094493,0.000608554,0.00015081772,0.00006447208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004083969,0.000021999938,0.8364428,0.000067449175,0.00009023313,0.00021506313,0.00065938104,0.0001685981,0.15509158,0.00018887926,0.0000628804,0.0065827086],"study_design_scores_gemma":[0.0000054787797,0.000026994105,0.997666,0.000004089041,0.000011829278,0.000057616482,0.00018810996,0.00017222392,0.0015008323,0.000041930438,0.00032228057,0.0000025759687],"about_ca_topic_score_codex":0.012830662,"about_ca_topic_score_gemma":0.02487611,"teacher_disagreement_score":0.012830662,"about_ca_system_score_codex":0.00038383988,"about_ca_system_score_gemma":0.0002036587,"threshold_uncertainty_score":0.02551198},"labels":[],"label_agreement":null},{"id":"W2108105048","doi":"10.5194/bg-12-79-2015","title":"Effects of experimental nitrogen deposition on peatland carbon pools and fluxes: a modelling analysis","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Environment and Climate Change Canada","funders":"Westfälische Wilhelms-Universität Münster; Bundesministerium für Bildung und Forschung; Natural Sciences and Engineering Research Council of Canada; European Commission; Sight Research UK; Natural Environment Research Council; Biodiversa+; National Science Foundation","keywords":"Graminoid; Ombrotrophic; Environmental science; Shrub; Peat; Sphagnum; Ecosystem; Bog; Growing season; Primary production; Deposition (geology); Ecosystem respiration; Ecology; Forb; Grassland; Biology","score_opus":0.013636008607575007,"score_gpt":0.22963535806607333,"score_spread":0.21599934945849833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108105048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985044,0.00003865023,0.0008331036,0.0000067107044,0.0000026086802,0.000010562123,0.00013874815,0.000017760472,0.00044738225],"genre_scores_gemma":[0.9988973,0.000043968343,0.00068993674,0.000003945259,9.90497e-7,0.00003159705,0.00012514669,0.0000064982214,0.0002006988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998673,0.000042346444,0.000011989237,0.000033564735,0.000018297414,0.000026386979],"domain_scores_gemma":[0.99943537,0.0003994006,0.000056587494,0.00004374636,0.00004308523,0.000021702828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045540056,0.00051950366,0.00041551102,0.00017186873,0.00034220272,0.00040453798,0.00052197004,0.0006055843,0.0008989045],"category_scores_gemma":[0.0006429548,0.00021287477,0.0008067891,0.00020560416,0.00026745145,0.0003495617,0.0002819792,0.00036332602,0.00008577411],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015933422,0.00071698276,0.03520304,0.00026919413,0.00023889936,0.00027060183,0.000116098054,0.8752401,0.07940518,0.00044468808,0.00014068566,0.0063612578],"study_design_scores_gemma":[0.00015413271,0.0013166136,0.044808395,0.000019416764,0.0001988487,0.000059507558,0.00007010675,0.8962123,0.056183238,0.00039686257,0.0005289031,0.000051742347],"about_ca_topic_score_codex":0.009174316,"about_ca_topic_score_gemma":0.006134594,"teacher_disagreement_score":0.009174316,"about_ca_system_score_codex":0.00085977267,"about_ca_system_score_gemma":0.00036718993,"threshold_uncertainty_score":0.018241823},"labels":[],"label_agreement":null},{"id":"W2108603177","doi":"10.5194/bg-5-95-2008","title":"Phosphate availability and the ultimate control of new nitrogen input by nitrogen fixation in the tropical Pacific Ocean","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":186,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Gordon and Betty Moore Foundation; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration; National Science Foundation","keywords":"Oceanography; Ocean gyre; Trichodesmium; Environmental science; Nutrient; Phosphate; Chlorophyll a; Nitrogen; Transect; Geology; Nitrogen fixation; Chemistry; Biology; Subtropics; Botany; Ecology; Diazotroph","score_opus":0.011068825022336802,"score_gpt":0.19040697290614012,"score_spread":0.1793381478838033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108603177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987099,0.00042816286,0.00007494513,0.000024163037,0.0000023647249,0.0000025860202,0.0001342768,0.0000026962152,0.0006209246],"genre_scores_gemma":[0.9993369,0.00021516513,0.00007838365,0.000014152618,0.0000031664613,0.0000037654515,0.00012258044,0.000002154485,0.00022355632],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999509,0.00000555822,0.000004997508,0.000015447615,0.000009753863,0.000013337699],"domain_scores_gemma":[0.99974126,0.000041403884,0.00010187934,0.000008500059,0.000044964625,0.000061948886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018792067,0.00026324534,0.00015612967,0.00034663742,0.00034981474,0.00043892604,0.0002128277,0.00016598147,0.0008663396],"category_scores_gemma":[0.0003401408,0.00019236832,0.00016701485,0.00028967272,0.00035950966,0.00043269602,0.0003900048,0.0002000562,0.00010947038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007751663,0.000053016975,0.7498358,0.00024106784,0.00014210447,0.00044649324,0.0006128376,0.0011468361,0.23824178,0.00020218782,0.00016729732,0.0081353225],"study_design_scores_gemma":[0.000006391751,0.00006331111,0.9964457,0.0000075652574,0.000012714061,0.000054438126,0.00024952352,0.00051412656,0.002286826,0.00006519212,0.0002898253,0.0000042591155],"about_ca_topic_score_codex":0.0333788,"about_ca_topic_score_gemma":0.039640788,"teacher_disagreement_score":0.0333788,"about_ca_system_score_codex":0.00048704492,"about_ca_system_score_gemma":0.00041677966,"threshold_uncertainty_score":0.06636906},"labels":[],"label_agreement":null},{"id":"W2108752117","doi":"10.5194/bg-7-121-2010","title":"From biota to chemistry and climate: towards a comprehensive description of trace gas exchange between the biosphere and atmosphere","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Vetenskapsrådet; Sixth Framework Programme; Svenska Forskningsrådet Formas; European Commission; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Trace gas; Biosphere; Atmospheric chemistry; Atmosphere (unit); Earth science; Environmental science; Climate model; Climate change; Atmospheric sciences; Meteorology; Geology; Ecology; Ozone; Geography; Oceanography","score_opus":0.012726145859611748,"score_gpt":0.21653678030391896,"score_spread":0.20381063444430722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108752117","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09602848,0.13765524,0.73191595,0.008009983,0.00079563004,0.000097374534,0.0020716505,0.00052308734,0.022902599],"genre_scores_gemma":[0.60918707,0.13030654,0.24448648,0.0017538477,0.0011900867,0.00026943802,0.0012796762,0.00032343634,0.011203392],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998816,0.000044755092,0.000010585339,0.000020717955,0.00003114259,0.000011179227],"domain_scores_gemma":[0.9997986,0.00006704076,0.000036579877,0.000035169,0.000039784863,0.0000227974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005441181,0.00085645827,0.0009347764,0.001076732,0.00041353068,0.0022714431,0.0006966186,0.00085936114,0.001064853],"category_scores_gemma":[0.00076471997,0.00038010188,0.00081115105,0.0015986778,0.0011511337,0.0023955363,0.0011877952,0.0013093513,0.0005199983],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008005708,0.00010923362,0.016217383,0.0022562032,0.00039299304,0.0004619184,0.0006284342,0.34340408,0.032642752,0.42834967,0.007655601,0.16780171],"study_design_scores_gemma":[0.000019058622,0.0000743637,0.009230218,0.0003745829,0.00013110554,0.00028400854,0.00032518513,0.44649154,0.0036608214,0.41388792,0.12546271,0.000058579473],"about_ca_topic_score_codex":0.0067308396,"about_ca_topic_score_gemma":0.005486885,"teacher_disagreement_score":0.0067308396,"about_ca_system_score_codex":0.0009621471,"about_ca_system_score_gemma":0.0014884276,"threshold_uncertainty_score":0.013383329},"labels":[],"label_agreement":null},{"id":"W2108768248","doi":"10.5194/bg-10-5451-2013","title":"Carbon balance of a partially harvested mixed conifer forest following mountain pine beetle attack and its comparison to a clear-cut","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service; Ministry of Forests; Carleton University; University of Northern British Columbia; FPInnovations; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Forests, Lands and Natural Resource Operations; Canadian Foundation for Climate and Atmospheric Sciences; University of Northern British Columbia","keywords":"Eddy covariance; Carbon sink; Ecosystem respiration; Environmental science; Mountain pine beetle; Ecosystem; Growing season; Interception; Soil respiration; Canopy; Forest ecology; Pinus koraiensis; Forestry; Ecology; Biology; Geography","score_opus":0.01602978433367632,"score_gpt":0.2388417223252948,"score_spread":0.22281193799161847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108768248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99974984,0.000021747224,0.00001052747,0.0000023031382,5.801827e-7,0.0000016229177,0.000112770904,9.799387e-7,0.000099537916],"genre_scores_gemma":[0.9994344,0.000017321561,0.000040513834,0.000005554734,8.488003e-7,0.0000030994277,0.00032308622,7.2206075e-7,0.00017448288],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999585,0.0000036031247,0.0000022317606,0.000009988636,0.000011293162,0.000014258369],"domain_scores_gemma":[0.9998147,0.000014874811,0.00003921866,0.000007789537,0.000043216416,0.00008017701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086301,0.0001852344,0.00019739289,0.00027954121,0.0004257654,0.00041815362,0.00017857243,0.00015150597,0.0007864618],"category_scores_gemma":[0.00013572692,0.000114696006,0.0001117415,0.00025261822,0.00014632074,0.00018164623,0.00018917317,0.00018620784,0.00010929993],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018533167,0.0003536191,0.8933836,0.00005139564,0.00012915985,0.00062747445,0.00025114504,0.00073241856,0.094763845,0.000033646156,0.00023247217,0.0075879097],"study_design_scores_gemma":[0.0000019889433,0.0000370578,0.9992848,9.853272e-7,0.000004197667,0.00003375924,0.00005621437,0.000245792,0.00029186852,0.0000033672345,0.000038819053,0.0000011248263],"about_ca_topic_score_codex":0.056477316,"about_ca_topic_score_gemma":0.17248522,"teacher_disagreement_score":0.056477316,"about_ca_system_score_codex":0.0007032107,"about_ca_system_score_gemma":0.00037704274,"threshold_uncertainty_score":0.11229718},"labels":[],"label_agreement":null},{"id":"W2108816237","doi":"10.5194/bg-7-3019-2010","title":"Density/area power-law models for separating multi-scale anomalies of ore and toxic elements in stream sediments in Gejiu mineral district, Yunnan Province, China","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Fractal; Geology; Multifractal system; Sediment; Power law; Spectral density; Mineralogy; Fractal dimension; Sedimentary rock; Geochemistry; Geomorphology","score_opus":0.016878998509276762,"score_gpt":0.2472676761815426,"score_spread":0.23038867767226584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108816237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771876,0.00016878986,0.02180089,0.0000649132,0.0000060272937,0.000014095438,0.00025120494,0.00008843851,0.0004181358],"genre_scores_gemma":[0.9946126,0.00005601662,0.0046962053,0.0000061222754,0.0000058502396,0.0000077848945,0.00036130403,0.000007922246,0.00024623793],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999075,0.00001563699,0.0000068266054,0.000033047203,0.00001609,0.000020911077],"domain_scores_gemma":[0.9998103,0.000066414344,0.000044299413,0.00001947258,0.000040691306,0.000018877576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043938932,0.00028248454,0.00018465723,0.0020697056,0.00021318106,0.00043509025,0.0003702094,0.00032960583,0.00030589555],"category_scores_gemma":[0.0007582306,0.00013485923,0.00045242882,0.0011081109,0.00025971432,0.0004023425,0.00023092337,0.0001622222,0.0000842955],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017691674,0.00015125508,0.44509438,0.00013373813,0.00022762273,0.0005248467,0.00043634992,0.4272055,0.015975146,0.0036717798,0.0016026681,0.10479972],"study_design_scores_gemma":[0.0000054102097,0.000011584865,0.10415776,0.0000054391494,0.000017989114,0.000037453796,0.00008540136,0.89374924,0.0006099735,0.00096029736,0.00034945103,0.000010020607],"about_ca_topic_score_codex":0.044350006,"about_ca_topic_score_gemma":0.041651938,"teacher_disagreement_score":0.044350006,"about_ca_system_score_codex":0.0007063702,"about_ca_system_score_gemma":0.00048713986,"threshold_uncertainty_score":0.0881837},"labels":[],"label_agreement":null},{"id":"W2109325912","doi":"10.5194/bg-9-1033-2012","title":"Integrative analysis of <i>Geobacter</i> spp. and sulfate-reducing bacteria during uranium bioremediation","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Radioactive element chemistry and processing","field":"Chemistry","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Office of Science; Genome Canada; University of Toronto; U.S. Department of Energy","keywords":"Geobacter; Bioremediation; Environmental chemistry; Sulfate-reducing bacteria; Environmental remediation; Geobacter sulfurreducens; Chemistry; Iron bacteria; Microbial population biology; Desulfovibrio; Dominance (genetics); Bacteria; Microbiology; Sulfate; Biology; Contamination; Ecology; Biochemistry; Biofilm; Organic chemistry","score_opus":0.013043362848586553,"score_gpt":0.24827615529242608,"score_spread":0.23523279244383952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109325912","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948901,0.00026194687,0.0031923505,0.0000400958,0.000012930677,0.00005828694,0.00093520596,0.00007675708,0.0005323855],"genre_scores_gemma":[0.9908381,0.0003034692,0.0059211673,0.000050059833,0.000008497711,0.00008554054,0.002126107,0.000038028713,0.00062894967],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99976665,0.000027601736,0.000013712594,0.00007274503,0.00007612527,0.000043161952],"domain_scores_gemma":[0.99985135,0.000027209722,0.000030770614,0.000011541182,0.000052241845,0.000026886308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032403247,0.0005371261,0.0007236387,0.00041428395,0.00026291327,0.00056842796,0.00028203218,0.0003917274,0.0003031066],"category_scores_gemma":[0.00026397296,0.0002047096,0.0007727672,0.00045351218,0.00019231219,0.00035378363,0.00036856576,0.00037168048,0.00022683997],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015829377,0.000079366495,0.007427281,0.000085224834,0.000024904944,0.000067126355,0.00008785128,0.00062893226,0.9877435,0.00005051042,0.000052116775,0.0035949824],"study_design_scores_gemma":[0.000020660653,0.0012054896,0.24089319,0.000027057687,0.0001755089,0.0003752916,0.00084316527,0.03115935,0.7229312,0.00021021055,0.0020999487,0.00005888412],"about_ca_topic_score_codex":0.0030458607,"about_ca_topic_score_gemma":0.0028210818,"teacher_disagreement_score":0.0030458607,"about_ca_system_score_codex":0.00031975092,"about_ca_system_score_gemma":0.00039716423,"threshold_uncertainty_score":0.006056249},"labels":[],"label_agreement":null},{"id":"W2109730769","doi":"10.5194/bg-9-2459-2012","title":"Effects of soil rewetting and thawing on soil gas fluxes: a review of current literature and suggestions for future research","year":2012,"lang":"en","type":"review","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":513,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Oak Ridge National Laboratory","keywords":"Environmental science; Soil water; Ecosystem; Nitrous oxide; Flux (metallurgy); Carbon dioxide; Methane; Climate change; Atmospheric sciences; Soil science; Environmental chemistry; Chemistry; Ecology; Geology","score_opus":0.053511979809278604,"score_gpt":0.36334195810667563,"score_spread":0.309829978297397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109730769","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0004586616,0.99847096,0.00010782111,0.00062223175,0.00011855505,0.0000054033367,0.000038166618,0.000004992987,0.00017318559],"genre_scores_gemma":[0.0024167106,0.99681073,0.00022607809,0.00024234777,0.00019821204,0.000010807286,0.000036438745,0.0000025088555,0.000056123183],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989312,0.00024266005,0.00024096186,0.0003154548,0.0001974077,0.000072288414],"domain_scores_gemma":[0.9848779,0.0107700545,0.0018292171,0.00019585586,0.002028551,0.0002983974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055061136,0.0011633487,0.0033620847,0.0077169123,0.00063530233,0.0032833996,0.0018552479,0.0021077993,0.0028418489],"category_scores_gemma":[0.0076121236,0.00078106346,0.002058625,0.011145732,0.0015142102,0.005324083,0.0011540882,0.0015596932,0.0006167905],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022198034,0.00016510105,0.007826665,0.13455416,0.00080250134,0.00044528465,0.0007183731,0.0009216909,0.0013661049,0.003624818,0.013863331,0.83549],"study_design_scores_gemma":[0.00008129508,0.0008420463,0.086905,0.20769441,0.0066621196,0.002594796,0.005599676,0.0020803285,0.002096664,0.013444093,0.67158866,0.0004108086],"about_ca_topic_score_codex":0.0055213836,"about_ca_topic_score_gemma":0.0076473868,"teacher_disagreement_score":0.0077169123,"about_ca_system_score_codex":0.0018054792,"about_ca_system_score_gemma":0.004676306,"threshold_uncertainty_score":0.029119432},"labels":[],"label_agreement":null},{"id":"W2109763965","doi":"10.5194/bg-9-3571-2012","title":"The carbon budget of terrestrial ecosystems in East Asia over the last two decades","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":136,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China; European Commission","keywords":"Environmental science; Carbon cycle; Terrestrial ecosystem; Carbon sink; East Asia; Climate change; Ecosystem; Atmospheric sciences; Climatology; China; Geography; Ecology; Geology; Biology","score_opus":0.009540861797802357,"score_gpt":0.22304306221838474,"score_spread":0.21350220042058238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109763965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919843,0.0017346554,0.0011280844,0.0001375787,0.000010954768,0.0000050205927,0.0023205061,0.000043592743,0.002635331],"genre_scores_gemma":[0.9965513,0.0008969456,0.00071196153,0.000036660927,0.0000053583335,0.0000054556704,0.0012639277,0.000009412109,0.00051908626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995756,0.000006768783,0.000006817969,0.0000130636045,0.000008045783,0.000007864831],"domain_scores_gemma":[0.9998766,0.000011894174,0.000043994918,0.000013087061,0.000043370463,0.000011021631],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002873383,0.0003710096,0.00014796271,0.00046669634,0.0001485066,0.00046869562,0.00018021898,0.00012875347,0.00068985077],"category_scores_gemma":[0.00021898745,0.000107356536,0.0003090161,0.0009215218,0.00010473316,0.0006369505,0.00028835644,0.00013504749,0.00012488298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019095925,0.00004127925,0.8508539,0.0005506635,0.0011157,0.00041319994,0.0006458928,0.05595435,0.022409005,0.0022178,0.0017354246,0.06387171],"study_design_scores_gemma":[0.000010368555,0.00004583349,0.9608017,0.0000740405,0.00039523136,0.00018281282,0.0003656905,0.023471493,0.0057690553,0.00061114534,0.0082512535,0.000021418638],"about_ca_topic_score_codex":0.0177598,"about_ca_topic_score_gemma":0.015885498,"teacher_disagreement_score":0.0177598,"about_ca_system_score_codex":0.0006445782,"about_ca_system_score_gemma":0.0004820863,"threshold_uncertainty_score":0.03531283},"labels":[],"label_agreement":null},{"id":"W2109969675","doi":"10.5194/bg-10-3285-2013","title":"Effect of CO <sub>2</sub> enrichment on bacterial metabolism in an Arctic fjord","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"European Commission","keywords":"Mesocosm; pCO2; Carbon dioxide; Fjord; Ocean acidification; Seawater; Respiration; Bacterial growth; Chemistry; Environmental chemistry; Carbon fibers; Animal science; Total inorganic carbon; Nutrient; Biology; Bacteria; Ecology; Botany; Oceanography; Internal medicine","score_opus":0.009528866375022768,"score_gpt":0.23206225822629054,"score_spread":0.22253339185126778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109969675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994856,0.0001114254,0.00007667305,0.000015919792,0.000008244418,0.000005342327,0.00011379853,0.0000033371634,0.00017956678],"genre_scores_gemma":[0.9988845,0.000119226075,0.00041844288,0.000049371687,0.000008564071,0.000012730601,0.00025990035,0.0000038983494,0.0002433207],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996871,0.000033242606,0.000023336112,0.00011328109,0.000079795456,0.000063215935],"domain_scores_gemma":[0.99972874,0.000042001262,0.00004795899,0.000017155746,0.000078817146,0.000085355365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003138746,0.0005579468,0.0006347122,0.00027245862,0.00089091616,0.00079392653,0.00021750605,0.00040525149,0.0002835396],"category_scores_gemma":[0.00024669155,0.00025669127,0.0004220184,0.0002589515,0.0004218284,0.00031417786,0.0005549788,0.0004284481,0.00010855125],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017325117,0.00012645761,0.14271,0.00010748595,0.00009081183,0.00022898648,0.00021922847,0.00064166024,0.850507,0.00003219502,0.000106729356,0.0034968806],"study_design_scores_gemma":[0.000009460198,0.0005115018,0.93734354,0.0000073873807,0.000057337573,0.00007483351,0.00032404796,0.0025028873,0.05867821,0.000015884516,0.00046079353,0.000014068083],"about_ca_topic_score_codex":0.061811846,"about_ca_topic_score_gemma":0.08392295,"teacher_disagreement_score":0.061811846,"about_ca_system_score_codex":0.001559273,"about_ca_system_score_gemma":0.0010990163,"threshold_uncertainty_score":0.12290412},"labels":[],"label_agreement":null},{"id":"W2110230861","doi":"10.5194/bg-11-4251-2014","title":"Physical controls on CH <sub>4</sub> emissions from a newly flooded subtropical freshwater hydroelectric reservoir: Nam Theun 2","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"Electricité de France; Hydro-Québec","keywords":"Environmental science; Daytime; Dry season; Subtropics; Atmospheric sciences; Methane; Hydrology (agriculture); Water level; Ammonia; Animal science; Chemistry; Ecology; Geology; Geography; Biology","score_opus":0.006475318551013654,"score_gpt":0.20087227409529226,"score_spread":0.1943969555442786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110230861","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996978,0.000012181795,0.0000529149,0.0000049192663,7.069831e-7,0.0000013725355,0.000037589907,0.0000019965416,0.00019054006],"genre_scores_gemma":[0.9997404,0.000013873408,0.00008909674,0.000004568638,0.0000012402695,0.0000034784948,0.000055672004,0.0000013082278,0.000090362075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999529,0.00000890853,0.0000030734807,0.000014726071,0.000010619827,0.000009794982],"domain_scores_gemma":[0.9998957,0.00001592646,0.00003648222,0.0000070971905,0.000022373624,0.000022383718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010693018,0.00017916817,0.00020622516,0.00018368523,0.00036660128,0.0003930516,0.00018145304,0.00015427274,0.00045410375],"category_scores_gemma":[0.00017183219,0.00015659902,0.00011333344,0.0002865851,0.0003045395,0.00033097272,0.00034551084,0.00016002527,0.00007473497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034433499,0.000073125375,0.76590186,0.00006116745,0.000070728085,0.00045859013,0.0009312769,0.0009819869,0.22329623,0.00010224628,0.000092483315,0.007685944],"study_design_scores_gemma":[0.0000029129117,0.00002824186,0.99526346,0.0000021527658,0.000008556185,0.000039386876,0.00028380033,0.0012786912,0.0028782873,0.000019143692,0.0001907183,0.000004784047],"about_ca_topic_score_codex":0.008791026,"about_ca_topic_score_gemma":0.019736765,"teacher_disagreement_score":0.008791026,"about_ca_system_score_codex":0.0003873384,"about_ca_system_score_gemma":0.00023295477,"threshold_uncertainty_score":0.017479718},"labels":[],"label_agreement":null},{"id":"W2111694290","doi":"10.5194/bg-8-165-2011","title":"Twentieth century <i>δ</i> <sup>13</sup> C variability in surface water dissolved inorganic carbon recorded by coralline algae in the northern North Pacific Ocean and the Bering Sea","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Alexander von Humboldt-Stiftung; Smithsonian Institution","keywords":"Upwelling; Seawater; δ13C; Oceanography; Dissolved organic carbon; Geology; Calcite; Water mass; Archipelago; Mineralogy; Stable isotope ratio","score_opus":0.009697438452766128,"score_gpt":0.1679334582250981,"score_spread":0.15823601977233195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111694290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980869,0.00041654645,0.00006324736,0.00007528064,0.000008859149,0.0000011338714,0.000597369,0.0000063402904,0.0007444704],"genre_scores_gemma":[0.9988927,0.0002534394,0.00006863854,0.000023063061,0.000007748207,0.0000022121085,0.0004844175,0.0000029647251,0.0002646909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994874,0.0000047979493,0.000005916083,0.000023161054,0.0000070819688,0.000010346931],"domain_scores_gemma":[0.9997743,0.000015079368,0.00011583379,0.000018107652,0.000055588625,0.000021130032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020786207,0.00013910024,0.000096710166,0.00053768855,0.00022381442,0.00046766916,0.0001572132,0.00018149406,0.0008912006],"category_scores_gemma":[0.00034095976,0.00010570268,0.0001568851,0.0006237437,0.00024811842,0.00027152352,0.00032412732,0.00022922875,0.00012291533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000063584266,0.000009268939,0.9829783,0.000037954615,0.00010286502,0.00013216623,0.00033519423,0.00026190633,0.006707053,0.00013231314,0.00046732285,0.008772019],"study_design_scores_gemma":[5.393869e-7,0.0000032418602,0.99923086,0.0000034690643,0.000007164464,0.000026535825,0.000048001028,0.000072429015,0.00015906151,0.0000076005385,0.00043998825,0.0000010699017],"about_ca_topic_score_codex":0.022008898,"about_ca_topic_score_gemma":0.050930575,"teacher_disagreement_score":0.022008898,"about_ca_system_score_codex":0.0005307184,"about_ca_system_score_gemma":0.00016130198,"threshold_uncertainty_score":0.04376155},"labels":[],"label_agreement":null},{"id":"W2111717139","doi":"10.5194/bg-9-2301-2012","title":"Direct observations of diel biological CO <sub>2</sub> fixation on the Scotian Shelf, northwestern Atlantic Ocean","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Diel vertical migration; Oceanography; Biogeochemical cycle; Water column; Environmental science; Carbon cycle; Photosynthetically active radiation; Biological pump; Annual cycle; Mixed layer; Photosynthesis; Atmospheric sciences; Climatology; Biology; Chemistry; Geology; Environmental chemistry; Ecology; Ecosystem; Botany","score_opus":0.04015415512787082,"score_gpt":0.2154228933737119,"score_spread":0.17526873824584108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111717139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984061,0.0000912127,0.00006916244,0.000009475746,0.000002636502,0.000003775185,0.0005697039,0.000004346131,0.0008436154],"genre_scores_gemma":[0.99895084,0.000064007996,0.00012392853,0.000012129537,0.0000026479695,0.000005760077,0.00046784032,0.0000012958794,0.0003715072],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994886,0.0000051061643,0.000002558965,0.000016992211,0.000014136915,0.0000122938145],"domain_scores_gemma":[0.9997576,0.00002758896,0.00007223915,0.000014205671,0.00007122276,0.000057098365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008930734,0.00014175872,0.00007670875,0.00030274992,0.00020428143,0.0002158,0.00011803203,0.00010087384,0.0008195532],"category_scores_gemma":[0.0002036923,0.000099524055,0.00007164056,0.00028308443,0.00020264913,0.00011512576,0.0002521074,0.000107033724,0.00013382392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013882808,0.00002274215,0.95000124,0.00003601412,0.000036428257,0.000102528174,0.00019679448,0.00028844192,0.042886287,0.00004293038,0.000230003,0.0060177264],"study_design_scores_gemma":[0.0000010727744,0.000006749679,0.99954885,0.0000010577705,0.0000014145896,0.000007049406,0.000024249315,0.0000920808,0.00021066373,0.0000026955197,0.000103474245,5.838261e-7],"about_ca_topic_score_codex":0.12508667,"about_ca_topic_score_gemma":0.30955145,"teacher_disagreement_score":0.87491333,"about_ca_system_score_codex":0.0005175082,"about_ca_system_score_gemma":0.00035489365,"threshold_uncertainty_score":0.24871719},"labels":[],"label_agreement":null},{"id":"W2112114797","doi":"10.5194/bg-9-3185-2012","title":"An assessment of the carbon balance of Arctic tundra: comparisons among observations, process models, and atmospheric inversions","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":395,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Biological and Environmental Research; Natural Environment Research Council; Office of Science; Lunds Universitet; Svenska Forskningsrådet Formas; U.S. Geological Survey; U.S. Department of Energy; U.S. Fish and Wildlife Service; European Commission; Sight Research UK; National Aeronautics and Space Administration; Vetenskapsrådet; National Science Foundation","keywords":"Tundra; Environmental science; Arctic; Atmospheric sciences; Biosphere; Ecosystem; Climatology; Global warming; Greenhouse gas; Terrestrial ecosystem; Climate change; Biosphere model; Carbon cycle; Sink (geography); Climate model; Carbon sink; Ecology; Geography; Geology","score_opus":0.07279018144313044,"score_gpt":0.2916899616741915,"score_spread":0.21889978023106105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112114797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966246,0.00011410173,0.002017793,0.00004570117,0.0000062105323,0.000005685983,0.00047356635,0.000055017623,0.00065740023],"genre_scores_gemma":[0.9980502,0.000039295286,0.0014084227,0.000008965274,0.0000036777164,0.0000031630996,0.00042522207,0.00000785552,0.000053170985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968946,0.00012519496,0.000020770289,0.000079389174,0.000055152723,0.000030006555],"domain_scores_gemma":[0.9991339,0.0003419102,0.00014391835,0.00011003811,0.00022904317,0.000041302363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00198263,0.00051244616,0.00031540112,0.00052645075,0.00025837074,0.00078121194,0.0003673109,0.00032621488,0.00030043098],"category_scores_gemma":[0.0025625133,0.00019640218,0.0006790406,0.00083822745,0.00020298289,0.0007632959,0.00033128084,0.0002954319,0.00005459943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007114599,0.00013459836,0.6315844,0.00006850691,0.0007647401,0.000109642264,0.0001804514,0.3348244,0.010737425,0.00081299135,0.00034993046,0.019721339],"study_design_scores_gemma":[0.00008149485,0.0001697548,0.33327058,0.000024603765,0.00022098496,0.00005738835,0.000238813,0.6579546,0.006068116,0.00062455586,0.0012535027,0.00003553564],"about_ca_topic_score_codex":0.073955275,"about_ca_topic_score_gemma":0.045820367,"teacher_disagreement_score":0.073955275,"about_ca_system_score_codex":0.0010315066,"about_ca_system_score_gemma":0.00058047165,"threshold_uncertainty_score":0.1470496},"labels":[],"label_agreement":null},{"id":"W2112116392","doi":"10.5194/bg-12-4939-2015","title":"Reconsidering the role of carbonate ion concentration in calcification by marine organisms","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; University of Victoria","keywords":"Ocean acidification; Carbonate; Bicarbonate; Calcium carbonate; Calcification; Chemistry; Biogeochemical cycle; Alkalinity; Seawater; Total inorganic carbon; Salinity; Saturation (graph theory); Calcium; Carbon dioxide; Environmental chemistry; Oceanography; Mineralogy; Geology; Internal medicine","score_opus":0.038035375898035566,"score_gpt":0.21540692908525735,"score_spread":0.17737155318722178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112116392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90353805,0.038152713,0.042513378,0.0065093017,0.00059074594,0.00003767713,0.00013971531,0.00013286505,0.008385578],"genre_scores_gemma":[0.9918418,0.003686388,0.0036067585,0.0002193848,0.00008736759,0.000007268668,0.000029488629,0.000014859721,0.0005066326],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997545,0.00007874028,0.00002966464,0.00006774127,0.000046924975,0.00002240843],"domain_scores_gemma":[0.9994549,0.00030272617,0.000073386436,0.000042403848,0.000081615755,0.00004496517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008294232,0.00035475075,0.0005074438,0.00022259391,0.0003244139,0.0011096552,0.000800978,0.0005928201,0.000501163],"category_scores_gemma":[0.0019907544,0.00021460374,0.00036978823,0.00024593793,0.0010365853,0.0016401589,0.00088546355,0.0009832896,0.00012186172],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007715893,0.00017755287,0.1124391,0.0022593099,0.0003772322,0.0031272385,0.0012424213,0.042404715,0.62787384,0.10393178,0.0034529977,0.10194217],"study_design_scores_gemma":[0.00009665457,0.00094839674,0.15118559,0.00033317076,0.00052103755,0.0021974659,0.0016943276,0.46822444,0.18865594,0.13389857,0.05198366,0.00026067172],"about_ca_topic_score_codex":0.005920881,"about_ca_topic_score_gemma":0.0031948888,"teacher_disagreement_score":0.005920881,"about_ca_system_score_codex":0.0010038409,"about_ca_system_score_gemma":0.0006208559,"threshold_uncertainty_score":0.011772871},"labels":[],"label_agreement":null},{"id":"W2112359574","doi":"10.5194/bg-1-113-2004","title":"Animal-sediment interactions: the effect of ingestion and excretion by worms on mineralogy","year":2004,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Chlorite; Illite; Weathering; Diagenesis; Geology; Mineral; Mineralogy; Authigenic; Sediment; Clay minerals; Geochemistry; Dissolution; Digestion (alchemy); Chemistry; Environmental chemistry; Geomorphology; Paleontology; Quartz","score_opus":0.011951577782136194,"score_gpt":0.25394309328151116,"score_spread":0.24199151549937498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112359574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994338,0.00010389571,0.00013547583,0.000008102985,0.0000033363099,0.0000099684585,0.00008734557,0.000009324674,0.00020878552],"genre_scores_gemma":[0.9982672,0.000080425794,0.00051408657,0.00001837794,0.0000044935787,0.00002791991,0.00016094741,0.0000068890663,0.00091964926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998031,0.000048155925,0.000018765777,0.00005465453,0.00003496169,0.00004046378],"domain_scores_gemma":[0.9994122,0.00021111235,0.00013253928,0.000053623997,0.000053278083,0.00013731186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021049875,0.00031934027,0.00026728245,0.00019520213,0.0001918986,0.0003826545,0.00017294532,0.0003142219,0.0013922892],"category_scores_gemma":[0.00040442866,0.00016753402,0.00019393447,0.00011408038,0.00034964955,0.00019861362,0.00029777075,0.00030312536,0.00016376503],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017033448,0.0001184008,0.011639234,0.00005869969,0.00001990917,0.000063188665,0.000038832957,0.000082565064,0.9840537,0.000013897448,0.00001792898,0.0021902535],"study_design_scores_gemma":[0.000060705624,0.0077370973,0.30860075,0.000010523856,0.00007821989,0.00015488587,0.00014825942,0.0011806532,0.6809234,0.000033859735,0.0010525923,0.000019023355],"about_ca_topic_score_codex":0.0007683559,"about_ca_topic_score_gemma":0.0016821849,"teacher_disagreement_score":0.0013922892,"about_ca_system_score_codex":0.00021986847,"about_ca_system_score_gemma":0.00017197167,"threshold_uncertainty_score":0.004657626},"labels":[],"label_agreement":null},{"id":"W2112431034","doi":"10.5194/bg-9-3999-2012","title":"The response of methane and nitrous oxide fluxes to forest change in Europe","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":95,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Nitrous oxide; Soil water; Greenhouse gas; Methane; Deposition (geology); Soil pH; Climate change; Water content; Precipitation; Agronomy; Environmental chemistry; Hydrology (agriculture); Soil science; Chemistry; Ecology; Geology; Sediment","score_opus":0.03432444044034053,"score_gpt":0.2528650659398697,"score_spread":0.21854062549952916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112431034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995303,0.00015977626,0.00008714133,0.0000063793823,0.0000018686986,0.000001897303,0.00008725193,0.0000032664336,0.00012197975],"genre_scores_gemma":[0.99928254,0.0001210028,0.00018152187,0.000016447868,0.0000032087187,0.0000053605054,0.000283911,0.0000023191683,0.0001037219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997471,0.00006326026,0.000016174306,0.00009624811,0.00003227698,0.000044880533],"domain_scores_gemma":[0.9996896,0.000102539125,0.00007847789,0.00002588889,0.000053948024,0.00004954932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000469577,0.0003002709,0.00032042564,0.00033667314,0.00017977516,0.00045898248,0.00020818698,0.00038727908,0.00041577825],"category_scores_gemma":[0.00032125885,0.00013062249,0.00030636255,0.00041051678,0.00025957642,0.00026730233,0.00028513954,0.00018689943,0.0000626705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024677226,0.0003006799,0.7258539,0.00016275892,0.00047281492,0.00020134839,0.0001953455,0.005546285,0.24908629,0.00012393977,0.00017124662,0.015417668],"study_design_scores_gemma":[0.000014343116,0.00012008634,0.9947955,0.0000021928272,0.000018969296,0.00003163626,0.00005570135,0.00082843023,0.003880794,0.000022381004,0.00022544402,0.0000044705525],"about_ca_topic_score_codex":0.0074717104,"about_ca_topic_score_gemma":0.007524937,"teacher_disagreement_score":0.0074717104,"about_ca_system_score_codex":0.00040488868,"about_ca_system_score_gemma":0.00017944889,"threshold_uncertainty_score":0.014856458},"labels":[],"label_agreement":null},{"id":"W2112613690","doi":"10.5194/bg-9-2673-2012","title":"Role of sediment denitrification in water column oxygen dynamics: comparison of the North American East and West Coasts","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Denitrification; Biogeochemical cycle; Upwelling; Environmental science; Water column; Oceanography; Hypoxia (environmental); Sediment; Oxygen minimum zone; Nutrient; Nitrate; Nutrient cycle; Organic matter; Biogeochemistry; Continental shelf; Nitrogen cycle; Primary production; Limiting oxygen concentration; Ecosystem; Nitrogen; Environmental chemistry; Oxygen; Ecology; Geology; Chemistry; Biology","score_opus":0.011773269521925183,"score_gpt":0.2038152012797428,"score_spread":0.19204193175781764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112613690","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954385,0.00004775872,0.00007011546,0.000025128584,0.000001523019,0.000001515449,0.00005304528,0.0000032131504,0.00025375438],"genre_scores_gemma":[0.9993754,0.00008313605,0.00017207653,0.0000132291125,0.0000011650687,0.0000022380084,0.00013567116,0.000002254256,0.00021476894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999497,0.000008473452,0.0000033443791,0.000015216808,0.000010673923,0.000012597084],"domain_scores_gemma":[0.9998659,0.000022888778,0.000022495164,0.000010148536,0.00004667672,0.00003178456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016620953,0.0002599489,0.00023162634,0.00027114118,0.00033128937,0.00062877056,0.00023389395,0.00032635455,0.00046992427],"category_scores_gemma":[0.00024950525,0.00015134094,0.00031879212,0.00031123657,0.00020438565,0.00032258808,0.0002902123,0.00019908497,0.00007471388],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003023028,0.00010767257,0.9539554,0.000040794184,0.00021682733,0.00024217364,0.00030157142,0.017901134,0.016817888,0.00020606435,0.00021606317,0.00969208],"study_design_scores_gemma":[0.00001718038,0.000047075573,0.9672039,0.000008781845,0.000052964584,0.000022174683,0.00037050992,0.030627979,0.0010615722,0.00007452689,0.00050441176,0.000008946097],"about_ca_topic_score_codex":0.28995427,"about_ca_topic_score_gemma":0.34127367,"teacher_disagreement_score":0.28995427,"about_ca_system_score_codex":0.0009684621,"about_ca_system_score_gemma":0.0006925767,"threshold_uncertainty_score":0.5765331},"labels":[],"label_agreement":null},{"id":"W2113089691","doi":"10.5194/bg-12-1151-2015","title":"The influence of soils on heterotrophic respiration exerts a strong control on net ecosystem productivity in seasonally dry Amazonian forests","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Primary production; Soil water; Plant litter; Soil respiration; Ecosystem; Seasonality; Dry season; Carbon cycle; Growing season; Terrestrial ecosystem; Vegetation (pathology); Hydrology (agriculture); Atmospheric sciences; Ecology; Soil science; Biology","score_opus":0.012826214484247882,"score_gpt":0.21782009603687885,"score_spread":0.20499388155263096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113089691","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994185,0.000023136767,0.00021757453,0.000020118525,0.0000010760413,0.0000019842148,0.00008117034,0.000012075934,0.00022429042],"genre_scores_gemma":[0.99981076,0.000012804874,0.000088839806,0.0000037673844,5.835487e-7,0.0000018836104,0.00004760352,0.0000025994393,0.00003113141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999225,0.000019409943,0.0000049613714,0.000019776995,0.000009950009,0.000023451139],"domain_scores_gemma":[0.9997733,0.00011580627,0.000035121153,0.000015153249,0.00002153179,0.000038985538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016065041,0.00029615947,0.00018581428,0.000153252,0.00027322915,0.00041534688,0.0003635317,0.00021405649,0.0006736375],"category_scores_gemma":[0.00060083985,0.00016380579,0.00026639178,0.00021357372,0.00027462112,0.00037467593,0.00026246317,0.00019886356,0.00005223802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006085286,0.00030226412,0.5518574,0.00018661401,0.00024602155,0.00046758002,0.00021293339,0.2969872,0.13399236,0.0010839639,0.00045495635,0.013600139],"study_design_scores_gemma":[0.000093044044,0.00010352468,0.6054302,0.00000880141,0.00006274109,0.000076841425,0.0001705309,0.38678432,0.006365077,0.00045995152,0.00042167815,0.000023225011],"about_ca_topic_score_codex":0.076042555,"about_ca_topic_score_gemma":0.080558896,"teacher_disagreement_score":0.076042555,"about_ca_system_score_codex":0.0008175938,"about_ca_system_score_gemma":0.0005554407,"threshold_uncertainty_score":0.15119988},"labels":[],"label_agreement":null},{"id":"W2113536037","doi":"10.5194/bg-4-87-2007","title":"Marine geochemical data assimilation in an efficient Earth System Model of global biogeochemical cycling","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":291,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs; Japan Agency for Marine-Earth Science and Technology; Natural Environment Research Council; Royal Society; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Biogeochemical cycle; Biogeochemistry; Carbon cycle; Environmental science; Biological pump; Alkalinity; Oceanography; Earth system science; Ocean acidification; Deep sea; Data assimilation; Carbonate; Global change; Geology; Climate change; Ecosystem; Environmental chemistry; Chemistry; Ecology; Meteorology","score_opus":0.03802646021367216,"score_gpt":0.27482100499801904,"score_spread":0.23679454478434686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113536037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6747262,0.000791631,0.2926311,0.0022757947,0.0003500194,0.00018249721,0.0057458384,0.002422659,0.02087432],"genre_scores_gemma":[0.9611649,0.00017353827,0.034606192,0.00019688837,0.000054389926,0.0001825888,0.0012699511,0.0001062882,0.0022451642],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988234,0.000037030513,0.000007959262,0.00003387062,0.00002493893,0.000013842057],"domain_scores_gemma":[0.9997516,0.00009920224,0.000029625991,0.000029988338,0.00006142643,0.000028073116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048418748,0.0005181807,0.00076524855,0.00030211415,0.0004723386,0.00097522634,0.0010209286,0.0011560885,0.0016737619],"category_scores_gemma":[0.0010865114,0.00052003923,0.00070016645,0.000558551,0.0005425029,0.0007988871,0.0008616495,0.0009149719,0.0003095932],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016079362,0.000007470641,0.0007431478,0.00000610525,0.000017152897,0.000014717097,0.0000065802797,0.99706084,0.0002110586,0.0007043229,0.00018662128,0.0010259826],"study_design_scores_gemma":[0.000010249328,0.0000032721164,0.00016475344,9.043262e-7,0.0000041266226,0.0000010598426,0.0000013661171,0.9993604,0.000042663076,0.00024750707,0.00016176184,0.0000020016112],"about_ca_topic_score_codex":0.06406709,"about_ca_topic_score_gemma":0.03926948,"teacher_disagreement_score":0.06406709,"about_ca_system_score_codex":0.0012028591,"about_ca_system_score_gemma":0.0015266306,"threshold_uncertainty_score":0.12738836},"labels":[],"label_agreement":null},{"id":"W2114379448","doi":"10.5194/bg-10-7703-2013","title":"Modelling changes in nitrogen cycling to sustain increases in forest productivity under elevated atmospheric CO <sub>2</sub> and contrasting site conditions","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Mineralization (soil science); Cycling; Nutrient cycle; Biogeochemical cycle; Primary production; Nutrient; Nitrogen cycle; Environmental science; Ecosystem; Experimental forest; Deciduous; Chemistry; Plant litter; Agronomy; Environmental chemistry; Ecology; Nitrogen; Soil water; Soil science; Biology; Forestry","score_opus":0.01782481886649955,"score_gpt":0.21834850853541554,"score_spread":0.20052368966891598,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114379448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809605,0.000012526205,0.0010923045,0.000024464196,0.0000032379564,0.000007999526,0.00015068872,0.000038046226,0.0005746913],"genre_scores_gemma":[0.998192,0.000013158821,0.001526747,0.000008818951,0.0000010209145,0.000010256469,0.00010512936,0.0000067701067,0.00013599548],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999279,0.000017895174,0.0000046032346,0.000022696691,0.000010027481,0.000016822782],"domain_scores_gemma":[0.9997632,0.00012223481,0.000031189393,0.000018388568,0.00003368167,0.00003117985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025781142,0.00033722917,0.0001899031,0.0001615247,0.00037658671,0.0005929654,0.0006001038,0.0005736377,0.0006886005],"category_scores_gemma":[0.0005361683,0.0002091332,0.00036699622,0.00019997456,0.000256024,0.0004478878,0.0002249382,0.0003656137,0.00006359777],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025553495,0.000106641426,0.038080253,0.000044588123,0.000060473812,0.00014462281,0.00005768531,0.94715995,0.010822848,0.00037029848,0.00019092434,0.0027062113],"study_design_scores_gemma":[0.000033153763,0.000110239285,0.021856869,0.0000037727457,0.000022765329,0.000029592364,0.00006412423,0.97466654,0.002719398,0.00023801943,0.00024099699,0.00001446117],"about_ca_topic_score_codex":0.060093608,"about_ca_topic_score_gemma":0.08343166,"teacher_disagreement_score":0.060093608,"about_ca_system_score_codex":0.0013975878,"about_ca_system_score_gemma":0.00083518657,"threshold_uncertainty_score":0.11948764},"labels":[],"label_agreement":null},{"id":"W2114544896","doi":"10.5194/bg-8-585-2011","title":"Experimental nitrogen, phosphorus, and potassium deposition decreases summer soil temperatures, water contents, and soil CO <sub>2</sub> concentrations in a northern bog","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; Canadian Foundation for Climate and Atmospheric Sciences; Deutscher Akademischer Austauschdienst; BIOCAP Canada; National Science Foundation","keywords":"Ombrotrophic; Peat; Bog; Phosphorus; Deposition (geology); Chemistry; Biogeochemical cycle; Nitrogen; Animal science; Environmental chemistry; Environmental science; Ecology; Geology","score_opus":0.013981691188617603,"score_gpt":0.2130991929972734,"score_spread":0.19911750180865578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114544896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99968195,0.000030323748,0.000044754775,0.000008072582,0.0000027958079,0.000003850235,0.000062353,0.000010901235,0.00015505111],"genre_scores_gemma":[0.99794394,0.000047269896,0.00032451443,0.000024871362,0.0000023748144,0.000021845864,0.0002215,0.000011837653,0.0014017748],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989724,0.000011590289,0.0000063646694,0.000032584918,0.000017720977,0.0000344848],"domain_scores_gemma":[0.9996922,0.000031182866,0.00007244152,0.000025511612,0.000031446238,0.00014725172],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106415275,0.00024400842,0.00029330683,0.0001311313,0.00037725543,0.0002828713,0.00036840784,0.00014553053,0.0007925686],"category_scores_gemma":[0.00017271741,0.00021311034,0.00014450768,0.00010978639,0.00038912022,0.000118245516,0.00022901643,0.00029170138,0.00010686301],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.006436999,0.00044040868,0.018395513,0.00009739932,0.000047936388,0.000109581815,0.0003545927,0.00030109563,0.9709783,0.00003826213,0.00017246102,0.0026274791],"study_design_scores_gemma":[0.00020057359,0.0031068823,0.8192516,0.000017649052,0.00010503477,0.00012625792,0.00066168525,0.0025250309,0.17110074,0.00007961681,0.0028004546,0.000024510762],"about_ca_topic_score_codex":0.11980122,"about_ca_topic_score_gemma":0.25434333,"teacher_disagreement_score":0.11980122,"about_ca_system_score_codex":0.0016683087,"about_ca_system_score_gemma":0.0011100591,"threshold_uncertainty_score":0.23820782},"labels":[],"label_agreement":null},{"id":"W2114673832","doi":"10.5194/bg-7-2351-2010","title":"Trends and regional distributions of land and ocean carbon sinks","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":219,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"U.S. Department of Energy; Fonds Québécois de la Recherche sur la Nature et les Technologies; Eidgenössische Technische Hochschule Zürich; University of Leeds; National Oceanic and Atmospheric Administration; Ford Motor Company","keywords":"Sink (geography); Carbon sink; Environmental science; Biogeochemical cycle; Northern Hemisphere; Atmospheric sciences; Climatology; Climate change; Geology; Oceanography; Chemistry; Geography","score_opus":0.006169357876008981,"score_gpt":0.1999465487749752,"score_spread":0.19377719089896622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114673832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904336,0.0012572479,0.0009943539,0.00014857862,0.000008929862,0.0000039546553,0.003444135,0.00009836971,0.00361091],"genre_scores_gemma":[0.99483633,0.0006199229,0.00087347854,0.000030338993,0.000013703041,0.0000055897895,0.0029872379,0.000021894744,0.0006114209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999,0.000008501798,0.000009848048,0.00004902526,0.00001669331,0.00001588192],"domain_scores_gemma":[0.9991055,0.00010182281,0.00032754996,0.00008514521,0.0003366245,0.00004342269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039865388,0.00016431576,0.00024390702,0.0016851096,0.000103967475,0.00045378486,0.00013852183,0.00013417006,0.0011876385],"category_scores_gemma":[0.000777096,0.000104218496,0.00027181907,0.0012109443,0.0001815877,0.000576195,0.0002736092,0.0002346194,0.00035835445],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019248117,0.000015856223,0.95787483,0.00008520382,0.00017697917,0.000074315176,0.00028000635,0.0020346153,0.012447747,0.0008514648,0.0008627423,0.025103845],"study_design_scores_gemma":[0.000002278391,0.000023229995,0.99532336,0.000007743328,0.000037455233,0.00007742586,0.000080114325,0.0009980678,0.0010755095,0.00014209835,0.0022273131,0.000005495509],"about_ca_topic_score_codex":0.0044742255,"about_ca_topic_score_gemma":0.0050667776,"teacher_disagreement_score":0.0044742255,"about_ca_system_score_codex":0.00026725748,"about_ca_system_score_gemma":0.00014516742,"threshold_uncertainty_score":0.008896351},"labels":[],"label_agreement":null},{"id":"W2114809925","doi":"10.5194/bg-2-43-2005","title":"Whole-system metabolism and CO <sub>2</sub> fluxes in a Mediterranean Bay dominated by seagrass beds (Palma Bay, NW Mediterranean)","year":2005,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Ministerio de Educación, Cultura y Deporte; Fonds De La Recherche Scientifique - FNRS; Centre National de la Recherche Scientifique; European Commission","keywords":"Posidonia oceanica; Seagrass; Bay; Benthic zone; Plankton; Autotroph; Oceanography; Environmental science; Mediterranean climate; Heterotroph; Ecosystem; Ecology; Biology; Geology","score_opus":0.01258223009379945,"score_gpt":0.2114910414915543,"score_spread":0.19890881139775485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114809925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99984574,0.000020593878,0.000023035473,0.0000023721554,4.4085914e-7,7.728808e-7,0.000054181164,0.0000013241254,0.00005149248],"genre_scores_gemma":[0.99951684,0.000029169594,0.00012064546,0.000005792125,0.0000011437634,0.0000026462878,0.00014046303,0.0000016631141,0.00018152823],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994516,0.0000056824483,0.0000036255192,0.000026407484,0.000009708612,0.0000095330415],"domain_scores_gemma":[0.99985456,0.000013148247,0.00005276284,0.000009504329,0.000026530797,0.000043382905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012839767,0.00032163918,0.00025122007,0.00031851657,0.00026480758,0.00042556255,0.00021957641,0.00019782869,0.00043469682],"category_scores_gemma":[0.00013873242,0.00019398681,0.00017450722,0.00024178244,0.00021768676,0.0002567674,0.00026172254,0.00014727679,0.000109076704],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008352736,0.00011569335,0.8446664,0.000047749363,0.0000992924,0.00025674593,0.00041797166,0.00043808113,0.14790773,0.000022062148,0.00009140862,0.005101432],"study_design_scores_gemma":[0.0000055301416,0.000081662845,0.99794596,0.0000010155604,0.000011811324,0.000029982173,0.000084378684,0.00059246726,0.0011667624,0.000006692837,0.000071915674,0.0000018797496],"about_ca_topic_score_codex":0.02600626,"about_ca_topic_score_gemma":0.03369839,"teacher_disagreement_score":0.02600626,"about_ca_system_score_codex":0.00073254,"about_ca_system_score_gemma":0.00023526522,"threshold_uncertainty_score":0.05170977},"labels":[],"label_agreement":null},{"id":"W2115004402","doi":"10.5194/bg-9-2385-2012","title":"Use of the isotope flux ratio approach to investigate the C <sup>18</sup> O <sup>16</sup> O and <sup>13</sup> CO <sub>2</sub> exchange near the floor of a temperate deciduous forest","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Guelph","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Science Foundation","keywords":"Flux (metallurgy); Atmospheric sciences; Isotope; Isotopologue; Temperate deciduous forest; Stable isotope ratio; δ18O; Atmosphere (unit); Deciduous; Environmental science; Chemistry; Physics; Meteorology; Ecology; Nuclear physics; Biology","score_opus":0.02340992885257735,"score_gpt":0.2107748570070105,"score_spread":0.18736492815443317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115004402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812344,0.00014397138,0.017778618,0.000015471725,0.000006516918,0.000019597732,0.00009860408,0.00005402579,0.0006488092],"genre_scores_gemma":[0.970424,0.0001095226,0.028947236,0.00001037923,0.000004723173,0.000028426468,0.00009717851,0.000020572603,0.00035792333],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998838,0.00002942241,0.0000045996962,0.000042513533,0.000029351251,0.0000103465745],"domain_scores_gemma":[0.99977654,0.00008222273,0.000049626462,0.00001506905,0.000063548556,0.000013034388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004503293,0.0002969101,0.00028825804,0.0008581709,0.00020377466,0.00022912562,0.0003595844,0.0003026942,0.00040210038],"category_scores_gemma":[0.000607358,0.00016246649,0.00026773795,0.00038197296,0.0001669058,0.00037885978,0.00014397992,0.00020221599,0.00015745968],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068693055,0.00014555882,0.14262693,0.00009861183,0.0000851598,0.0001663682,0.00021511645,0.0042166207,0.800526,0.0003091916,0.0000754446,0.050848152],"study_design_scores_gemma":[0.0000578283,0.0009662761,0.5495874,0.000018645595,0.00011403537,0.0012183636,0.00035372865,0.18751106,0.2583596,0.000457207,0.0012841747,0.00007166479],"about_ca_topic_score_codex":0.003961474,"about_ca_topic_score_gemma":0.003999617,"teacher_disagreement_score":0.003961474,"about_ca_system_score_codex":0.00024453338,"about_ca_system_score_gemma":0.0001686994,"threshold_uncertainty_score":0.007876813},"labels":[],"label_agreement":null},{"id":"W2115148784","doi":"10.5194/bg-11-6667-2014","title":"Quantifying the effects of harvesting on carbon fluxes and stocks in northern temperate forests","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Ecosystem respiration; Eddy covariance; Evergreen; Leaf area index; Environmental science; Temperate rainforest; Ecosystem; Canopy; Temperate forest; Deciduous; Atmospheric sciences; Primary production; Forest ecology; Context (archaeology); Chronosequence; Temperate climate; Plant functional type; Productivity; Carbon cycle; Ecology; Geography; Biology; Geology","score_opus":0.010399889518296058,"score_gpt":0.21414416987636728,"score_spread":0.2037442803580712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115148784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99924123,0.00003146093,0.0004353236,0.0000065259505,7.5234493e-7,0.0000041473354,0.00010583631,0.000007792408,0.00016696693],"genre_scores_gemma":[0.9992656,0.000029865616,0.00044614263,0.00000560222,9.164607e-7,0.000006283033,0.00017726673,0.0000020974314,0.000066172935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999869,0.000040727587,0.000011376549,0.000040624982,0.000018691118,0.000019647918],"domain_scores_gemma":[0.9996462,0.00016787347,0.00008237266,0.000033081542,0.000038495262,0.000031982676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081718643,0.00037526558,0.00019795587,0.000224642,0.00022051172,0.0004767151,0.00022287275,0.00025656476,0.00041058546],"category_scores_gemma":[0.000986966,0.00019089233,0.00033041346,0.000323724,0.00018784453,0.00050939195,0.0002388173,0.00014252737,0.000052953492],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044203489,0.00014779269,0.7992148,0.000058220616,0.00023616484,0.0001271968,0.000113669106,0.17810795,0.013574688,0.00026654845,0.0001554157,0.0075555383],"study_design_scores_gemma":[0.00003068378,0.00012401158,0.8040658,0.0000093007075,0.000063852494,0.000046598412,0.0000857762,0.19270028,0.0022701882,0.0003019475,0.00028411014,0.000017374337],"about_ca_topic_score_codex":0.02853023,"about_ca_topic_score_gemma":0.044078104,"teacher_disagreement_score":0.02853023,"about_ca_system_score_codex":0.0008271777,"about_ca_system_score_gemma":0.0004022457,"threshold_uncertainty_score":0.056728363},"labels":[],"label_agreement":null},{"id":"W2115196840","doi":"10.5194/bg-11-7305-2014","title":"Biomass burning fuel consumption rates: a field measurement database","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":221,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Biome; Boreal; Environmental science; Tundra; Taiga; Biomass (ecology); Peat; Temperate climate; Atmospheric sciences; Temperate rainforest; Ecosystem; Forestry; Agroforestry; Ecology; Geography; Biology; Geology","score_opus":0.029650762961556335,"score_gpt":0.2501152089127929,"score_spread":0.22046444595123654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115196840","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18107262,0.0018518881,0.005755303,0.000078858095,0.00003187231,0.00034785812,0.80374503,0.0008340572,0.0062824595],"genre_scores_gemma":[0.14168037,0.0010402619,0.010679522,0.00006501277,0.000026034477,0.0009711378,0.8437795,0.0001516597,0.0016064452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880445,0.00014503801,0.00029653966,0.00039544672,0.00030655216,0.000051846448],"domain_scores_gemma":[0.994787,0.0010815412,0.0012300465,0.000711116,0.0019736183,0.00021670652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014147143,0.0006719563,0.0006507325,0.0063906065,0.00026613867,0.00084568403,0.00094258046,0.0006792018,0.0034176656],"category_scores_gemma":[0.0032045618,0.00037606995,0.00067830295,0.0075383955,0.0001668124,0.0008625186,0.00042272283,0.00038260547,0.0032883564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007367131,0.00076287886,0.6510912,0.0052872268,0.0011020629,0.0005020407,0.00074817834,0.0104278,0.005953396,0.0010546993,0.11766344,0.20467035],"study_design_scores_gemma":[0.00012621983,0.0001719744,0.854959,0.0006057922,0.00032731256,0.000509061,0.0006120861,0.008647784,0.0047501973,0.00064942666,0.12853184,0.00010933057],"about_ca_topic_score_codex":0.011675664,"about_ca_topic_score_gemma":0.013378781,"teacher_disagreement_score":0.011675664,"about_ca_system_score_codex":0.0005181261,"about_ca_system_score_gemma":0.00061078503,"threshold_uncertainty_score":0.023215413},"labels":[],"label_agreement":null},{"id":"W2116703650","doi":"10.5194/bg-11-3707-2014","title":"Revisiting the disappearance of terrestrial dissolved organic matter in the ocean: a <i>δ</i> <sup>13</sup> C study","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Academy of Finland; Natural Sciences and Engineering Research Council of Canada; Helsingin Yliopisto","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Photobleaching; Environmental chemistry; TRACER; Chemistry; Oceanography; Environmental science; Geology; Fluorescence; Phytoplankton","score_opus":0.01141671985795062,"score_gpt":0.2061472358758179,"score_spread":0.19473051601786728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116703650","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608326,0.00091842486,0.0006017485,0.000110409754,0.000026658277,0.000009315748,0.0007215361,0.000014502344,0.0015140332],"genre_scores_gemma":[0.9976229,0.0004573266,0.00088309107,0.00012112368,0.000015890802,0.0000086842965,0.0005510436,0.000016103808,0.00032387898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998702,0.000010700498,0.000009941341,0.000057472647,0.00003131631,0.000020446161],"domain_scores_gemma":[0.9995838,0.0000868715,0.000071704846,0.000030409557,0.00019381907,0.00003331575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039844602,0.0002857034,0.00032932218,0.00060558,0.0006585515,0.0007956749,0.00048108166,0.00065472967,0.0008505219],"category_scores_gemma":[0.00049548544,0.0001848043,0.00038828052,0.0011635077,0.00045517634,0.0004988919,0.00034669507,0.00067206967,0.00019337497],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007209847,0.000103880564,0.6356419,0.00041183928,0.00026180182,0.0005530924,0.00027589395,0.001617362,0.3385673,0.00029101357,0.00078279834,0.020772088],"study_design_scores_gemma":[0.00002496746,0.00022631195,0.89920557,0.000045566467,0.0002385928,0.00021167703,0.0007652512,0.006442873,0.08530193,0.00022186333,0.007288477,0.000026817459],"about_ca_topic_score_codex":0.031208072,"about_ca_topic_score_gemma":0.026467415,"teacher_disagreement_score":0.031208072,"about_ca_system_score_codex":0.0010042355,"about_ca_system_score_gemma":0.0007934598,"threshold_uncertainty_score":0.062052846},"labels":[],"label_agreement":null},{"id":"W2117141344","doi":"10.5194/bg-9-5125-2012","title":"Carbon emissions from land use and land-cover change","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1343,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"National Aeronautics and Space Administration","keywords":"Deforestation (computer science); Environmental science; Greenhouse gas; Carbon flux; Land use, land-use change and forestry; Afforestation; Land cover; Peat; Carbon fibers; Flux (metallurgy); Land use; Atmospheric sciences; Geography; Agroforestry; Ecosystem; Ecology; Mathematics","score_opus":0.023625485159995137,"score_gpt":0.21504687805636713,"score_spread":0.191421392896372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117141344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91608834,0.011195305,0.007148382,0.00079759996,0.00024799973,0.0000908013,0.041373584,0.0001925746,0.022865383],"genre_scores_gemma":[0.9808717,0.003924298,0.0016793141,0.00016177421,0.000064636806,0.00005821728,0.010358438,0.00002758229,0.0028539898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997446,0.000044383913,0.000018415676,0.00005108679,0.00011114708,0.000030245932],"domain_scores_gemma":[0.99970216,0.00007480413,0.00009644638,0.00001861202,0.00009153488,0.000016452608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039015952,0.00060453475,0.00022639312,0.0008444875,0.000120608354,0.0006259537,0.00017602985,0.00022185086,0.0017272836],"category_scores_gemma":[0.0006666756,0.00015387431,0.00066682656,0.0021542432,0.00017598773,0.00058505376,0.00034159713,0.00025487735,0.00037211957],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034974856,0.000084711384,0.80118215,0.0012697157,0.0029167638,0.00035375907,0.0001538653,0.071208306,0.007565323,0.0039716098,0.0070782905,0.10386578],"study_design_scores_gemma":[0.00002842077,0.00009596329,0.9395916,0.00019809672,0.00050392974,0.00025658635,0.00012822793,0.022370579,0.0039190883,0.0023634778,0.030508373,0.000035606725],"about_ca_topic_score_codex":0.014025925,"about_ca_topic_score_gemma":0.015262712,"teacher_disagreement_score":0.014025925,"about_ca_system_score_codex":0.0010516524,"about_ca_system_score_gemma":0.00040339652,"threshold_uncertainty_score":0.027888596},"labels":[],"label_agreement":null},{"id":"W2117476991","doi":"10.5194/bg-8-2977-2011","title":"Biogeochemistry of manganese in ferruginous Lake Matano, Indonesia","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Simon Fraser University; University of Washington","keywords":"Biogeochemistry; Manganese; Geology; Environmental science; Chemistry; Oceanography","score_opus":0.020965113711416388,"score_gpt":0.19893167812490697,"score_spread":0.1779665644134906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117476991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999408,0.000043218413,0.000073010786,0.00001249321,7.88656e-7,0.0000018320267,0.000063268664,0.0000039992174,0.00039326146],"genre_scores_gemma":[0.99942005,0.000036403086,0.00016919702,0.0000058271435,9.006456e-7,0.0000019160598,0.000049624712,0.0000019206461,0.0003140344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999664,0.0000033416293,0.000002965459,0.0000125116285,0.000008187004,0.0000065087315],"domain_scores_gemma":[0.99997723,0.000002876161,0.000006815684,9.944829e-7,0.000007389809,0.0000047367175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005377699,0.000121617355,0.00018569101,0.000324841,0.00035989203,0.00033378816,0.00012341328,0.0001384236,0.00034367462],"category_scores_gemma":[0.000077486955,0.000112144124,0.00007833414,0.00023538436,0.00019661785,0.00021566259,0.00021431972,0.00009344272,0.000069105095],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033907802,0.000069462476,0.6269097,0.0001651255,0.000049442362,0.00046766,0.0013127412,0.0009298397,0.35848984,0.0002750056,0.00011724527,0.010874883],"study_design_scores_gemma":[0.000009807931,0.00008288573,0.9799392,0.000011202483,0.000022657321,0.00015066087,0.00085389474,0.003481567,0.014359507,0.000134677,0.0009457858,0.00000816083],"about_ca_topic_score_codex":0.020674102,"about_ca_topic_score_gemma":0.03176338,"teacher_disagreement_score":0.020674102,"about_ca_system_score_codex":0.0005167375,"about_ca_system_score_gemma":0.00028419695,"threshold_uncertainty_score":0.041107535},"labels":[],"label_agreement":null},{"id":"W2117857640","doi":"10.5194/bg-10-5061-2013","title":"Timing of fire relative to seed development may enable non-serotinous species to recolonize from the aerial seed banks of fire-killed trees","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; Compute Canada","keywords":"Fire regime; Crown (dentistry); Biology; Environmental science; Ecology; Ecosystem","score_opus":0.013912898584896718,"score_gpt":0.20890680332205264,"score_spread":0.19499390473715592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117857640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987362,0.000014513469,0.0010693248,0.0000028955603,9.669599e-7,0.0000011613316,0.000012705425,0.000008252737,0.00015405819],"genre_scores_gemma":[0.9994191,0.000011399488,0.00046009783,0.0000025551274,3.4959922e-7,0.0000010386733,0.00001815362,0.0000022371182,0.000085014835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999784,0.0000033812664,0.0000014685219,0.000008114516,0.0000031813809,0.0000054471643],"domain_scores_gemma":[0.9998566,0.000049488317,0.000042787375,0.000012517964,0.000013172371,0.00002536306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011986551,0.00012303083,0.00010877984,0.00014482895,0.00018007382,0.0002436618,0.00015677877,0.000121231205,0.0004782455],"category_scores_gemma":[0.00026961765,0.00009348853,0.00015224933,0.000058693095,0.00014215765,0.00017868468,0.00012462615,0.00014579568,0.00005110478],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003579957,0.00017775648,0.48395434,0.00009403653,0.00010327498,0.00032552422,0.0003537224,0.1135993,0.38412577,0.0009769239,0.00013057384,0.01580081],"study_design_scores_gemma":[0.000024610687,0.00030523955,0.69254875,0.000012440774,0.000052073254,0.0002576718,0.0002627058,0.28332773,0.021904066,0.0006820496,0.00060582306,0.000016958398],"about_ca_topic_score_codex":0.0044238586,"about_ca_topic_score_gemma":0.011107652,"teacher_disagreement_score":0.0044238586,"about_ca_system_score_codex":0.00021807004,"about_ca_system_score_gemma":0.00014295134,"threshold_uncertainty_score":0.008796215},"labels":[],"label_agreement":null},{"id":"W2118219521","doi":"10.5194/bg-10-7065-2013","title":"Prominent bacterial heterotrophy and sources of <sup>13</sup> C-depleted fatty acids to the interior Canada Basin","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Division of Ocean Sciences; Fisheries and Oceans Canada; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Carbon fibers; Particulates; Canada Basin; Total organic carbon; Organic matter; Carbon cycle; Heterotroph; Fatty acid; Oceanography; Environmental chemistry; Dissolved organic carbon; Remineralisation; Chemistry; Environmental science; Geology; Sea ice; Ecology; Bacteria; Biology; Ecosystem; Biochemistry; Organic chemistry","score_opus":0.00753820304021143,"score_gpt":0.18633823403301447,"score_spread":0.17880003099280303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118219521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925701,0.00071840454,0.00022601572,0.00011649469,0.000010127544,0.00000942051,0.0013690183,0.000029975574,0.0049504437],"genre_scores_gemma":[0.9953341,0.00046051413,0.00041452795,0.00007508017,0.000004498851,0.000006021592,0.00088333787,0.000013422751,0.00280853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978715,0.0000044333615,0.0000055665605,0.0000466399,0.00007040138,0.000085694366],"domain_scores_gemma":[0.99950147,0.000016693135,0.000060499795,0.000011707188,0.0002641142,0.00014547915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009820001,0.0004494808,0.00032513004,0.0010224242,0.0020873386,0.0012041429,0.00037897448,0.00025627873,0.0024643042],"category_scores_gemma":[0.00027859004,0.00023331042,0.00022009436,0.001342769,0.00064633606,0.00023296097,0.00073609594,0.00037838242,0.00036954595],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003961709,0.000023639992,0.85645056,0.00016410001,0.00008379841,0.00037246777,0.0015877332,0.0003981797,0.11549086,0.00037243296,0.0008735019,0.023786508],"study_design_scores_gemma":[0.0000019244828,0.000011006353,0.9941162,0.000015676964,0.000015646076,0.00004320935,0.0008355428,0.00019344044,0.002842127,0.000031080588,0.0018872394,0.0000067822466],"about_ca_topic_score_codex":0.90640265,"about_ca_topic_score_gemma":0.9494491,"teacher_disagreement_score":0.09359735,"about_ca_system_score_codex":0.0070979674,"about_ca_system_score_gemma":0.010349591,"threshold_uncertainty_score":0.1882971},"labels":[],"label_agreement":null},{"id":"W2119100554","doi":"10.5194/bg-9-1633-2012","title":"The nitrogen isotope effect of benthic remineralization-nitrification-denitrification coupling in an estuarine environment","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Benthic zone; Water column; Nitrate; Denitrification; Environmental chemistry; Chemistry; Nitrification; Organic matter; Dissolved organic carbon; Estuary; Nitrogen; Oceanography; Geology","score_opus":0.013301390653708925,"score_gpt":0.21845350944871078,"score_spread":0.20515211879500186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119100554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996623,0.000042130494,0.00005743139,0.0000035416735,6.2983287e-7,6.321358e-7,0.000039882336,0.0000021056828,0.0001913759],"genre_scores_gemma":[0.9995894,0.000029623896,0.00009783893,0.000008457847,5.283705e-7,0.0000015621962,0.0000862142,0.0000014275299,0.00018497145],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998853,0.000020259302,0.000007683736,0.000042921063,0.000022875498,0.000020923144],"domain_scores_gemma":[0.99985754,0.000023363742,0.000046266785,0.000007273551,0.000040088555,0.000025534722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018947337,0.00023273521,0.00016214798,0.00018298025,0.0003047379,0.00036423953,0.00015317222,0.00016388188,0.00023149584],"category_scores_gemma":[0.00017843525,0.00020033066,0.000110117086,0.00016841637,0.0002269726,0.00014458761,0.00033820423,0.00016655285,0.00005986395],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006688693,0.000045166507,0.37576932,0.00007138965,0.000109555454,0.00017691449,0.0002989362,0.0006879642,0.6168105,0.0001008159,0.00005885679,0.0052017607],"study_design_scores_gemma":[0.0000037979096,0.00014685151,0.98323387,0.0000029337366,0.000020026187,0.000043237967,0.000107180254,0.00071338634,0.015397453,0.000025613592,0.00030094755,0.0000047581334],"about_ca_topic_score_codex":0.024645464,"about_ca_topic_score_gemma":0.064699784,"teacher_disagreement_score":0.024645464,"about_ca_system_score_codex":0.0006904543,"about_ca_system_score_gemma":0.00032668424,"threshold_uncertainty_score":0.049004078},"labels":[],"label_agreement":null},{"id":"W2119258147","doi":"10.5194/bg-10-6247-2013","title":"Sources and fate of terrestrial dissolved organic carbon in lakes of a Boreal Plains region recently affected by wildfire","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta; University of Guelph","funders":"Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; Syncrude","keywords":"Peat; Dissolved organic carbon; Water table; Groundwater; Environmental science; Environmental chemistry; Carbon cycle; Boreal; Terrestrial ecosystem; Ecosystem; Hydrology (agriculture); Organic matter; Mineralization (soil science); Soil water; Ecology; Geology; Soil science; Chemistry","score_opus":0.008277077727567276,"score_gpt":0.17921260043411757,"score_spread":0.1709355227065503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119258147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998591,0.000019925998,0.000019903075,0.0000040511436,5.019988e-7,0.0000015602233,0.000053252523,0.0000014955348,0.000040150946],"genre_scores_gemma":[0.9997191,0.000017609136,0.000103953724,0.000004860001,0.0000011133593,0.0000019731744,0.000100164,6.856121e-7,0.000050512375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999912,0.0000109828,0.0000066543057,0.000026866306,0.000018479934,0.00002492545],"domain_scores_gemma":[0.9998209,0.000019554594,0.000055355693,0.0000076483175,0.00004528685,0.000051297007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018910697,0.00025236784,0.0002618336,0.0003650716,0.0008942419,0.0005256983,0.00024882628,0.00023714185,0.00024694216],"category_scores_gemma":[0.00021939435,0.00018988102,0.00025501492,0.00039722654,0.0003249073,0.00028433546,0.00026982752,0.00016197088,0.000028663975],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026657086,0.000067729314,0.96970606,0.000022772989,0.000064754175,0.00018832907,0.00046726744,0.0006201322,0.026142739,0.000029268132,0.000046731155,0.002377781],"study_design_scores_gemma":[0.0000047377303,0.000044668122,0.9969379,0.0000019406702,0.00001901225,0.00004993021,0.00038925186,0.001634142,0.0008229876,0.000012477733,0.00007838482,0.0000046076784],"about_ca_topic_score_codex":0.3006126,"about_ca_topic_score_gemma":0.41706514,"teacher_disagreement_score":0.3006126,"about_ca_system_score_codex":0.0014849465,"about_ca_system_score_gemma":0.00092343526,"threshold_uncertainty_score":0.5977257},"labels":[],"label_agreement":null},{"id":"W2119431291","doi":"10.5194/bg-11-4695-2014","title":"Monitoring of carbon dioxide fluxes in a subalpine grassland ecosystem of the Italian Alps using a multispectral sensor","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Alberta; Fondazione Edmund Mach","keywords":"Environmental science; Eddy covariance; Photosynthetically active radiation; Multispectral image; Photochemical Reflectance Index; Red edge; Linear regression; Atmospheric sciences; Remote sensing; Enhanced vegetation index; Ecosystem; Regression analysis; Vegetation (pathology); Normalized Difference Vegetation Index; Leaf area index; Mathematics; Statistics; Ecology; Geography; Hyperspectral imaging; Photosynthesis; Vegetation Index; Geology; Biology; Botany","score_opus":0.011268887065062677,"score_gpt":0.21680264468993815,"score_spread":0.20553375762487547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119431291","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979704,0.00014899876,0.0009977941,0.000017001017,0.000004338529,0.000009712808,0.0002414182,0.00006356989,0.00054691033],"genre_scores_gemma":[0.9958776,0.00009084757,0.0033860735,0.000009830026,0.000012186749,0.0000130236,0.00044438796,0.00000616203,0.00015982214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979144,0.000048329643,0.000007708768,0.000068256544,0.00005669545,0.0000275565],"domain_scores_gemma":[0.99977165,0.000053456577,0.000065125525,0.000039041843,0.000042863867,0.000027821941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000519242,0.00058060087,0.0002986447,0.00074241444,0.00021995317,0.0004435538,0.00037466275,0.00040853626,0.0004713089],"category_scores_gemma":[0.00038787714,0.00014293962,0.00033657637,0.0005781262,0.00018749523,0.00032524538,0.00022476199,0.00014108312,0.00017231275],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084696594,0.0005005773,0.7506478,0.0003327656,0.00030507793,0.00046047423,0.0004326919,0.013608231,0.14180435,0.00009325921,0.0005300016,0.09043795],"study_design_scores_gemma":[0.000019258268,0.0002125611,0.97498274,0.000011643728,0.000070635346,0.00013283087,0.000071774106,0.020523401,0.0032777127,0.000022557753,0.00066174904,0.000013067447],"about_ca_topic_score_codex":0.009397929,"about_ca_topic_score_gemma":0.014072099,"teacher_disagreement_score":0.009397929,"about_ca_system_score_codex":0.0003682421,"about_ca_system_score_gemma":0.00024223053,"threshold_uncertainty_score":0.018686473},"labels":[],"label_agreement":null},{"id":"W2119440517","doi":"10.5194/bg-9-3513-2012","title":"Degradation state of organic matter in surface sediments from the Southern Beaufort Sea: a lipid approach","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Environmental chemistry; Chemistry; Organic matter; Organic chemistry","score_opus":0.016521130020671786,"score_gpt":0.21415462634844107,"score_spread":0.19763349632776928,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119440517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977203,0.0009202871,0.00025945858,0.00002299319,0.000006744074,0.000006523584,0.00041407504,0.000007184324,0.00064237474],"genre_scores_gemma":[0.9958748,0.00077124574,0.0008312409,0.000055417564,0.000017986094,0.00000989954,0.00084078306,0.0000075938315,0.0015908941],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999106,0.0000074282902,0.0000040829987,0.000029753282,0.000026137333,0.000022022987],"domain_scores_gemma":[0.99988604,0.000009071974,0.00004356828,0.0000037093691,0.000040108207,0.00001744696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014011638,0.0004764103,0.00018455056,0.0014964181,0.0005839972,0.0006147423,0.00015189536,0.00039997458,0.0006867239],"category_scores_gemma":[0.00008061786,0.00015125063,0.00025950366,0.0007927162,0.0003228924,0.00027689664,0.00027677865,0.00027960198,0.00027640286],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032815992,0.000025167528,0.11722808,0.00015274758,0.00007946364,0.0004776149,0.0005923319,0.00032210597,0.8716421,0.00004665265,0.00007578953,0.009029724],"study_design_scores_gemma":[0.000004145102,0.00019847133,0.97046643,0.000017710065,0.000037719583,0.00030591188,0.0004248108,0.0004578011,0.02627028,0.000031454427,0.001774777,0.000010473262],"about_ca_topic_score_codex":0.022791514,"about_ca_topic_score_gemma":0.032556757,"teacher_disagreement_score":0.022791514,"about_ca_system_score_codex":0.0004646243,"about_ca_system_score_gemma":0.00032019935,"threshold_uncertainty_score":0.04531771},"labels":[],"label_agreement":null},{"id":"W2119991438","doi":"10.5194/bg-11-5675-2014","title":"Soil–atmosphere exchange of ammonia in a non-fertilized grassland: measured emission potentials and inferred fluxes","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atmosphere (unit); HYSPLIT; Environmental science; Atmospheric sciences; Mixing ratio; Grassland; Dispersion (optics); Deposition (geology); Hydrology (agriculture); Chemistry; Aerosol; Meteorology; Geology; Agronomy; Geography; Physics","score_opus":0.008813949040981298,"score_gpt":0.2127899093695883,"score_spread":0.20397596032860701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2119991438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995821,0.00002701968,0.00010576111,0.0000027387039,8.361263e-7,0.0000049916457,0.00009078429,0.000004155236,0.00018169996],"genre_scores_gemma":[0.9991429,0.000034032913,0.00043441379,0.0000072893854,0.000001405163,0.0000094584975,0.00021491112,0.000002101707,0.00015335616],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992096,0.000009854409,0.0000036079853,0.000029822966,0.000020472819,0.00001530696],"domain_scores_gemma":[0.99988985,0.000024469395,0.000022533966,0.0000065927925,0.00003285747,0.000023593986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016391983,0.00021833678,0.00023293654,0.00024533487,0.00053255993,0.0003695995,0.00028931253,0.0001991892,0.00035542864],"category_scores_gemma":[0.0001475468,0.00015149225,0.00010392059,0.00027292845,0.0002991736,0.00022132331,0.00012030591,0.00013634645,0.00006946915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010977369,0.00025436337,0.54110944,0.0002008043,0.00012854808,0.0005496295,0.00066437444,0.0020766445,0.44145134,0.00006492259,0.00019752933,0.01220461],"study_design_scores_gemma":[0.00001953923,0.00011875009,0.9912816,0.0000043101572,0.000015817619,0.00006291439,0.00019146303,0.0030225716,0.004983732,0.000019263123,0.00027360267,0.00000649207],"about_ca_topic_score_codex":0.12335344,"about_ca_topic_score_gemma":0.2510315,"teacher_disagreement_score":0.12335344,"about_ca_system_score_codex":0.0011134339,"about_ca_system_score_gemma":0.0006152775,"threshold_uncertainty_score":0.24527085},"labels":[],"label_agreement":null},{"id":"W2120817123","doi":"10.5194/bg-10-4785-2013","title":"Modeling plankton ecosystem functioning and nitrogen fluxes in the oligotrophic waters of the Beaufort Sea, Arctic Ocean: a focus on light-driven processes","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency","keywords":"Environmental science; Arctic; Food web; Phytoplankton; Plankton; Ecosystem; Trophic level; Oceanography; Microbial loop; Zooplankton; Ecology; Primary producers; Nutrient; Biology","score_opus":0.010900190395356215,"score_gpt":0.1842558400125352,"score_spread":0.17335564961717898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120817123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993418,0.00025947407,0.004450114,0.00014325885,0.000018982579,0.000012310475,0.00022868959,0.000037127047,0.0014321131],"genre_scores_gemma":[0.9967123,0.0001687016,0.0022811422,0.00003624295,0.000014129321,0.000018904128,0.00019684806,0.000009715154,0.00056196185],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998807,0.000035214074,0.000005514752,0.000028612189,0.00001614153,0.000033946362],"domain_scores_gemma":[0.9997868,0.000077357494,0.000040981573,0.000012094366,0.000038969934,0.000043759494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003843859,0.00090375193,0.00057260797,0.00034283625,0.0007869761,0.0010034413,0.0008345732,0.001201164,0.00040554398],"category_scores_gemma":[0.00046274537,0.0004369544,0.0012202174,0.00042624056,0.000494731,0.0005437852,0.0006344652,0.00053109665,0.00006722475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000061646664,0.00003378158,0.014222673,0.000026137017,0.000061563296,0.00009984622,0.000037979116,0.98114324,0.0027555453,0.00031347567,0.00009360507,0.0011505262],"study_design_scores_gemma":[0.000011279972,0.00005641207,0.008981124,0.0000047411736,0.000025673868,0.000012280042,0.000045797915,0.9901271,0.00037770675,0.00012787522,0.00021893704,0.000011199994],"about_ca_topic_score_codex":0.2516742,"about_ca_topic_score_gemma":0.15118432,"teacher_disagreement_score":0.2516742,"about_ca_system_score_codex":0.0021496098,"about_ca_system_score_gemma":0.0021495149,"threshold_uncertainty_score":0.5004186},"labels":[],"label_agreement":null},{"id":"W2120900122","doi":"10.5194/bg-12-4385-2015","title":"Assessment of model estimates of land-atmosphere CO <sub>2</sub> exchange across Northern Eurasia","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Biological and Environmental Research; U.S. Geological Survey; European Commission; Office of Science; Agence Nationale de la Recherche; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration; Met Office; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Eddy covariance; Primary production; Ecosystem respiration; Atmospheric sciences; Carbon cycle; Greenhouse gas; Land cover; Vegetation (pathology); Carbon sink; Atmosphere (unit); Permafrost; Climatology; Ecosystem; Climate change; Land use; Meteorology; Ecology; Geology; Geography; Oceanography","score_opus":0.06909491819468158,"score_gpt":0.30753652542315596,"score_spread":0.23844160722847438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120900122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978485,0.00004405609,0.001005003,0.000055865745,0.0000029655066,0.00000675747,0.00039442882,0.00004915646,0.0005931842],"genre_scores_gemma":[0.9985806,0.000019877853,0.000879945,0.000011526404,0.0000019249499,0.0000092778155,0.00039406712,0.000008712294,0.000094181654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997321,0.00012389565,0.000018981122,0.00008024449,0.000028633238,0.000016172673],"domain_scores_gemma":[0.99922776,0.00034859244,0.000114960705,0.00009947844,0.00016072678,0.00004848797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015628181,0.00054232636,0.00038203745,0.0002910702,0.0002804074,0.00078877766,0.00080393115,0.0005123954,0.00056966924],"category_scores_gemma":[0.002146034,0.00032895195,0.0005544141,0.00036884798,0.00028924082,0.0007258356,0.0003551089,0.000318315,0.000095730524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021308252,0.00009400919,0.16693245,0.000038609414,0.00030904016,0.00009594201,0.00009225324,0.82195467,0.003510156,0.00036272695,0.0002906222,0.0061064563],"study_design_scores_gemma":[0.00010317138,0.00015262,0.0743315,0.000013051772,0.00007024514,0.000048132355,0.00007313442,0.92215663,0.0020971717,0.00042884363,0.00050417014,0.000021356445],"about_ca_topic_score_codex":0.043277808,"about_ca_topic_score_gemma":0.026324103,"teacher_disagreement_score":0.043277808,"about_ca_system_score_codex":0.0010789221,"about_ca_system_score_gemma":0.0006501548,"threshold_uncertainty_score":0.08605176},"labels":[],"label_agreement":null},{"id":"W2122000604","doi":"10.5194/bg-6-267-2009","title":"Enhanced ocean carbon storage from anaerobic alkalinity generation in coastal sediments","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":204,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Oceanography; Environmental science; Alkalinity; Benthic zone; Seawater; Continental shelf; Water column; Carbon cycle; Pelagic zone; Geology; Ecosystem; Ecology; Chemistry","score_opus":0.018233885815176713,"score_gpt":0.23301685690772891,"score_spread":0.2147829710925522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122000604","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991303,0.000116823285,0.00009615745,0.000020151412,0.0000030158658,0.0000011006573,0.000096092364,0.0000075765656,0.00052877655],"genre_scores_gemma":[0.9992866,0.00009191059,0.000062758496,0.000016781589,0.000002405132,0.0000016489105,0.00012733012,0.0000027446786,0.00040783736],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999589,0.0000044506114,0.000003338419,0.000010209319,0.000008905346,0.000014158213],"domain_scores_gemma":[0.99989355,0.000010163229,0.00003284995,0.000010254649,0.0000182716,0.000034942048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008144388,0.00026967836,0.00018629877,0.00016290936,0.00016332588,0.0003996283,0.00010391811,0.00015001296,0.0013239086],"category_scores_gemma":[0.0001172184,0.00012762511,0.00012604681,0.0001912961,0.00019606877,0.00020344656,0.0005223722,0.00016464606,0.00021341657],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078854116,0.00003194988,0.03906185,0.000100769794,0.00004018964,0.00026429212,0.00008037142,0.00059280853,0.95482314,0.00015638016,0.00011815669,0.003941623],"study_design_scores_gemma":[0.00006822669,0.00055573834,0.79355603,0.000019761816,0.00007135348,0.00032277757,0.00045822843,0.0017017256,0.19992222,0.000771094,0.0025337436,0.00001904781],"about_ca_topic_score_codex":0.001504223,"about_ca_topic_score_gemma":0.00181111,"teacher_disagreement_score":0.001504223,"about_ca_system_score_codex":0.00024408173,"about_ca_system_score_gemma":0.0001732723,"threshold_uncertainty_score":0.004428923},"labels":[],"label_agreement":null},{"id":"W2122311299","doi":"10.5194/bg-9-2063-2012","title":"On the uncertainty of phenological responses to climate change, and implications for a terrestrial biosphere model","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":173,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"U.S. Geological Survey; U.S. Department of Energy; National Park Service; Office of Science; National Science Foundation","keywords":"Phenology; Biosphere; Environmental science; Climate change; Climatology; Climate model; Akaike information criterion; Biosphere model; Ecosystem; Atmospheric sciences; Uncertainty analysis; Carbon cycle; Ecology; Biology; Statistics; Mathematics; Geology","score_opus":0.06514948299975502,"score_gpt":0.2788819320712212,"score_spread":0.21373244907146616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122311299","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953566,0.00041125683,0.04211294,0.0008079564,0.000032766326,0.00002315983,0.00078156864,0.00015384278,0.0021104508],"genre_scores_gemma":[0.99699295,0.000055928358,0.0026067868,0.000047067482,0.000011993769,0.000007068264,0.0001786188,0.00001345115,0.000086126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991241,0.00037295834,0.00006525089,0.00019471718,0.00017573373,0.00006722504],"domain_scores_gemma":[0.9898544,0.00805051,0.0009818238,0.00036958107,0.000554208,0.00018944571],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004555019,0.0006620059,0.0006135108,0.0009385362,0.00049147866,0.0013916304,0.00065153546,0.00075438013,0.00047064177],"category_scores_gemma":[0.014259873,0.00052126526,0.000828651,0.00072671776,0.0007714145,0.0015628397,0.0009629916,0.00085441605,0.000053347983],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007111513,0.000013557063,0.016946644,0.000017485514,0.0001112546,0.00004036298,0.000025605379,0.9787243,0.00079370994,0.0011376089,0.00012022483,0.0019980164],"study_design_scores_gemma":[0.000009874835,0.000021637436,0.00920375,0.000010746454,0.00003834839,0.000016156187,0.000020023212,0.9873449,0.0005045163,0.0026489096,0.00016431964,0.000016712207],"about_ca_topic_score_codex":0.021228721,"about_ca_topic_score_gemma":0.010672243,"teacher_disagreement_score":0.021228721,"about_ca_system_score_codex":0.0014278303,"about_ca_system_score_gemma":0.0008862929,"threshold_uncertainty_score":0.04221034},"labels":[],"label_agreement":null},{"id":"W2122702323","doi":"10.5194/bg-8-89-2011","title":"Tracing the origin of dissolved silicon transferred from various soil-plant systems towards rivers: a review","year":2011,"lang":"en","type":"review","venue":"Biogeosciences","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":287,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Fonds pour la Formation à la Recherche dans l’Industrie et dans l’Agriculture; Fonds De La Recherche Scientifique - FNRS","keywords":"Biogeochemical cycle; Weathering; Environmental science; Soil water; Vegetation (pathology); Plant litter; Earth science; Surface runoff; Environmental chemistry; Soil science; Ecosystem; Geology; Ecology; Geochemistry; Chemistry","score_opus":0.06832410568385106,"score_gpt":0.2763753323331476,"score_spread":0.20805122664929654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122702323","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007482139,0.99794084,0.00033181487,0.00011612969,0.00007657579,0.0000048902266,0.00010429254,0.000010816578,0.0006664946],"genre_scores_gemma":[0.002635772,0.9964302,0.00037582216,0.0000988606,0.00005807792,0.000007612805,0.00011209479,0.0000037336329,0.00027776582],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998086,0.000022997763,0.00003556088,0.00007587565,0.000045427958,0.000011626746],"domain_scores_gemma":[0.99917245,0.0004654355,0.00013437384,0.000017834836,0.00018002278,0.000029934687],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006058274,0.00075557514,0.0010838045,0.0032422612,0.00020802449,0.0010140791,0.00064329157,0.00072530634,0.0016582593],"category_scores_gemma":[0.0011658748,0.00035443078,0.0006262798,0.0034782672,0.00035328852,0.0013550054,0.00043684794,0.00058761134,0.00071175816],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001294221,0.000058071335,0.0022963223,0.101292014,0.0004950808,0.0002527498,0.00023690177,0.0011520939,0.006674575,0.0031123392,0.012664311,0.87163615],"study_design_scores_gemma":[0.000012805596,0.00024803056,0.0084379865,0.013815702,0.0010888557,0.0011841507,0.00025515823,0.00043124545,0.005645605,0.00195581,0.9668501,0.000074506024],"about_ca_topic_score_codex":0.0023947682,"about_ca_topic_score_gemma":0.002470816,"teacher_disagreement_score":0.0032422612,"about_ca_system_score_codex":0.0005189088,"about_ca_system_score_gemma":0.0013748182,"threshold_uncertainty_score":0.005547464},"labels":[],"label_agreement":null},{"id":"W2122832275","doi":"10.5194/bg-6-225-2009","title":"Using MODIS derived <i>f</i> PAR with ground based flux tower measurements to derive the light use efficiency for two Canadian peatlands","year":2008,"lang":"en","type":"preprint","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Trent University; McGill University","funders":"Enterprise Ireland; McGill University","keywords":"Peat; Environmental science; Flux (metallurgy); Tower; Atmospheric sciences; Remote sensing; Geography; Physics; Chemistry","score_opus":0.05979031077416465,"score_gpt":0.26244034864903076,"score_spread":0.20265003787486613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122832275","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940963,0.00014239851,0.0018028389,0.000028772241,0.0000046333553,0.000032727894,0.0020681145,0.0000849399,0.0017393386],"genre_scores_gemma":[0.99042046,0.00007880648,0.006457308,0.000025039786,0.0000018838748,0.000025705438,0.0023798554,0.000027264445,0.0005835814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997278,0.000012062415,0.0000113775795,0.00007409066,0.00010765344,0.000067052824],"domain_scores_gemma":[0.9995672,0.000037209233,0.00003585147,0.000022794624,0.00027811888,0.000058754336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044680492,0.0006062551,0.00033478186,0.0012889182,0.0011883887,0.0010390537,0.0007604325,0.00034358862,0.00071727746],"category_scores_gemma":[0.0009206096,0.0003102243,0.00048431716,0.0013054762,0.00026796575,0.00046960945,0.00034542754,0.00029237627,0.00016062423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00082115235,0.00020459825,0.8064266,0.00026457745,0.00043289707,0.000334508,0.0009697964,0.0227154,0.08517654,0.0003759328,0.0023727997,0.07990527],"study_design_scores_gemma":[0.000027361853,0.000021943993,0.96435714,0.000020669871,0.00006805428,0.000047195103,0.00026744962,0.026596405,0.0066922978,0.000050925257,0.0018092889,0.000041349067],"about_ca_topic_score_codex":0.98165166,"about_ca_topic_score_gemma":0.9896373,"teacher_disagreement_score":0.018348336,"about_ca_system_score_codex":0.010741272,"about_ca_system_score_gemma":0.0063474607,"threshold_uncertainty_score":0.07793379},"labels":[],"label_agreement":null},{"id":"W2123243198","doi":"10.5194/bg-6-721-2009","title":"Microbiology and atmospheric processes: biological, physical and chemical characterization of aerosol particles","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Indoor bioaerosol; Aerosol; Cloud condensation nuclei; Environmental science; Characterization (materials science); Human health; Ice nucleus; Particle (ecology); Biochemical engineering; Environmental chemistry; Nanotechnology; Meteorology; Nucleation; Chemistry; Materials science; Ecology; Biology; Physics; Engineering","score_opus":0.01276718629213837,"score_gpt":0.20772141232869265,"score_spread":0.19495422603655427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123243198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562017,0.017554343,0.018336268,0.00041162106,0.0001245908,0.00007997802,0.0009938248,0.00006638218,0.0062312786],"genre_scores_gemma":[0.9787179,0.0044282996,0.01409859,0.00015791961,0.00009515604,0.00003563451,0.000401997,0.00001787375,0.0020465755],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99983144,0.000027628625,0.000008090577,0.000044691173,0.00007421446,0.0000138852465],"domain_scores_gemma":[0.99988365,0.000027494303,0.000024139097,0.000008600086,0.000034006345,0.000022112254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029489386,0.00019148919,0.0002004239,0.0007192762,0.00030382528,0.00058665575,0.00018923575,0.00038585518,0.0007353279],"category_scores_gemma":[0.00024112563,0.000075113494,0.00013717022,0.00028714933,0.00022468099,0.00036809628,0.00018002886,0.00030194916,0.00026313443],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039843577,0.000047021855,0.01695081,0.000205857,0.000023943578,0.00008037993,0.00006879555,0.00017159463,0.9611801,0.000411618,0.0001534797,0.020666577],"study_design_scores_gemma":[0.000008747596,0.00038487386,0.20908599,0.00007218261,0.000043723136,0.0009961814,0.000363484,0.0034153701,0.7708344,0.0015861823,0.0131851435,0.000023805229],"about_ca_topic_score_codex":0.0007556252,"about_ca_topic_score_gemma":0.0011007898,"teacher_disagreement_score":0.0007556252,"about_ca_system_score_codex":0.00015462648,"about_ca_system_score_gemma":0.00018476677,"threshold_uncertainty_score":0.0024599433},"labels":[],"label_agreement":null},{"id":"W2123643677","doi":"10.5194/bg-12-5899-2015","title":"Stable isotope paleoclimatology of the earliest Eocene using kimberlite-hosted mummified wood from the Canadian Subarctic","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Toronto","funders":"","keywords":"Subarctic climate; Geology; Paleoclimatology; Isotopes of carbon; δ13C; Paleontology; Arctic; δ18O; Fossil wood; Biome; Stable isotope ratio; Ecology; Oceanography; Total organic carbon; Climate change; Ecosystem; Biology","score_opus":0.04957716139459543,"score_gpt":0.2413214620477706,"score_spread":0.1917443006531752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123643677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99439704,0.00075706054,0.000501159,0.000040755047,0.000005520595,0.00000859253,0.0010568353,0.000026800888,0.0032062472],"genre_scores_gemma":[0.9982772,0.00021158611,0.00043484804,0.000014574414,0.000002462601,0.0000029353948,0.00059924705,0.0000118167645,0.0004453126],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991643,0.000002630168,0.00000224503,0.000027327376,0.00002753307,0.000023788718],"domain_scores_gemma":[0.99977785,0.00001204357,0.00002981901,0.00000832001,0.00013256402,0.000039407216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020471799,0.00039275945,0.00020355289,0.0020304653,0.0017935649,0.00091991475,0.0005637847,0.0002541976,0.0012670489],"category_scores_gemma":[0.00036598076,0.00017353668,0.00023155966,0.0016074306,0.0004986088,0.0002591301,0.0002898089,0.0002280209,0.0002074289],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019199877,0.00002896871,0.92700076,0.00009227862,0.00016333525,0.0003128748,0.0011498205,0.0030012217,0.045233943,0.00061511504,0.0004977453,0.021711903],"study_design_scores_gemma":[0.0000023963826,0.000003703617,0.996055,0.000007815421,0.000013247347,0.000037835405,0.0001401491,0.0014237766,0.0010653461,0.000021089245,0.0012231026,0.0000065193576],"about_ca_topic_score_codex":0.91454834,"about_ca_topic_score_gemma":0.9734568,"teacher_disagreement_score":0.08545166,"about_ca_system_score_codex":0.00917321,"about_ca_system_score_gemma":0.0029995793,"threshold_uncertainty_score":0.17190975},"labels":[],"label_agreement":null},{"id":"W2123991274","doi":"10.5194/bg-11-807-2014","title":"Responses of carbon dioxide flux and plant biomass to water table drawdown in a treed peatland in northern Alberta: a climate change perspective","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Northern Alberta Institute of Technology; University of Calgary","funders":"Alberta Innovates","keywords":"Peat; Environmental science; Bog; Boreal; Water table; Carbon sink; Ecosystem; Sink (geography); Climate change; Hydrology (agriculture); Biomass (ecology); Vegetation (pathology); Ecology; Geology; Oceanography; Groundwater; Geography","score_opus":0.011089807420158705,"score_gpt":0.2221638918194445,"score_spread":0.2110740843992858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123991274","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995427,0.00003891122,0.000030131956,0.000018254776,8.661686e-7,0.0000017844533,0.00012876395,0.0000034847255,0.00023512414],"genre_scores_gemma":[0.9994728,0.000037782833,0.00006302994,0.000010624319,8.212511e-7,0.000001751583,0.00014923973,9.1735734e-7,0.00026295052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999447,0.0000070341025,0.0000022126399,0.0000109847915,0.000013650003,0.000021351492],"domain_scores_gemma":[0.99984694,0.000020492615,0.000023296834,0.0000057162392,0.000053206593,0.00005037547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012894833,0.00016627803,0.00015489137,0.00038646275,0.00046283004,0.00046194746,0.00027871437,0.000198725,0.0006781116],"category_scores_gemma":[0.0002519781,0.00011385521,0.00014251813,0.00051603955,0.00035276485,0.00013817646,0.00022209996,0.00017794166,0.000065466884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004407052,0.00011513643,0.9752456,0.000028867347,0.000059631704,0.00041592674,0.0006883859,0.0026914591,0.014277195,0.000110345485,0.00027583126,0.0056509045],"study_design_scores_gemma":[0.0000030663546,0.000012637699,0.9980294,0.0000018632396,0.0000072547564,0.000019878611,0.00037058603,0.0011305751,0.00026708542,0.000017873894,0.000136763,0.0000028992981],"about_ca_topic_score_codex":0.85922575,"about_ca_topic_score_gemma":0.93193275,"teacher_disagreement_score":0.14077425,"about_ca_system_score_codex":0.00401181,"about_ca_system_score_gemma":0.0015823217,"threshold_uncertainty_score":0.28320658},"labels":[],"label_agreement":null},{"id":"W2124061878","doi":"10.5194/bg-10-7609-2013","title":"Benthic fluxes of dissolved organic nitrogen in the lower St. Lawrence estuary and implications for selective organic matter degradation","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Benthic zone; Estuary; Organic matter; Dissolved organic carbon; Sedimentary organic matter; Sediment; Environmental chemistry; Total organic carbon; Nitrate; Water column; Nitrogen; Oceanography; Denitrification; Biogeochemical cycle; Environmental science; Chemistry; Geology","score_opus":0.011423555936871424,"score_gpt":0.2076859677712036,"score_spread":0.19626241183433218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124061878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990086,0.00012285424,0.000051449315,0.000041323543,0.0000022493193,0.0000016393229,0.00020637804,0.000005207428,0.00056027324],"genre_scores_gemma":[0.9988117,0.000107763015,0.000104974155,0.000031178915,0.0000019151473,0.0000032078585,0.00022033628,0.0000016449018,0.0007172658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989116,0.000011455101,0.000008842923,0.000030939627,0.000028815979,0.000028741437],"domain_scores_gemma":[0.999676,0.000019284302,0.0001489997,0.000008778814,0.000093327486,0.000053734922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018204209,0.0002241307,0.000182226,0.00052826887,0.00072869315,0.0007796443,0.00019971827,0.00020806972,0.0006030612],"category_scores_gemma":[0.0002574172,0.00019105001,0.0001667143,0.0007171814,0.00033361735,0.00026039168,0.0004002166,0.00022200937,0.000115160896],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012189345,0.00003990522,0.9873324,0.000034652276,0.000043268403,0.0001397963,0.000430363,0.0002447316,0.007496779,0.000056567882,0.00020483241,0.0038548785],"study_design_scores_gemma":[0.0000012629947,0.000018234998,0.9991123,0.000005067314,0.0000068419795,0.000016112092,0.0001718197,0.00020232725,0.0002428543,0.0000085494,0.00021245857,0.0000020711325],"about_ca_topic_score_codex":0.4187884,"about_ca_topic_score_gemma":0.7005469,"teacher_disagreement_score":0.58121157,"about_ca_system_score_codex":0.0028125031,"about_ca_system_score_gemma":0.0014780901,"threshold_uncertainty_score":0.83270156},"labels":[],"label_agreement":null},{"id":"W2124400531","doi":"10.5194/bg-9-2523-2012","title":"Changes in growth of pristine boreal North American forests from 1950 to 2005 driven by landscape demographics and species traits","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service; National Oceanic and Atmospheric Administration; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Taiga; Black spruce; Boreal; Forest dynamics; Geography; Ecology; Climate change; Disturbance (geology); Dendrochronology; Environmental science; Growing season; Productivity; Physical geography; Forestry; Biology","score_opus":0.015199800801405114,"score_gpt":0.21915377173193795,"score_spread":0.20395397093053283,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124400531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946505,0.000034541998,0.000081219034,0.000010726502,0.000001398496,0.000001356995,0.00021749295,0.0000048068373,0.00018330559],"genre_scores_gemma":[0.99937844,0.000023681803,0.00011916917,0.000007966305,0.0000014213174,0.0000026270511,0.00036180601,8.959581e-7,0.00010402896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993515,0.000013777859,0.0000041484386,0.000026371334,0.000010521191,0.000010073177],"domain_scores_gemma":[0.99968827,0.000050368344,0.00010124468,0.000031992717,0.00006958538,0.00005849827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031870825,0.0001522942,0.00011736649,0.00025448107,0.0002344175,0.00031352765,0.00016990934,0.00012540733,0.00064415875],"category_scores_gemma":[0.00042338582,0.000085378415,0.00015306054,0.0002696498,0.00018816361,0.00024285167,0.00018080763,0.000196008,0.00008527117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094416995,0.00004343706,0.99199414,0.000011218804,0.000043091957,0.000044527816,0.000105156636,0.0010777547,0.0031310956,0.000042643893,0.00017906692,0.0032335941],"study_design_scores_gemma":[8.05669e-7,0.000010676471,0.9990502,8.5820784e-7,0.0000043976393,0.000015180954,0.00003762134,0.0006899943,0.000091027454,0.000010527379,0.00008763171,0.0000010460283],"about_ca_topic_score_codex":0.018646928,"about_ca_topic_score_gemma":0.06361072,"teacher_disagreement_score":0.018646928,"about_ca_system_score_codex":0.00048809135,"about_ca_system_score_gemma":0.00019480367,"threshold_uncertainty_score":0.03707677},"labels":[],"label_agreement":null},{"id":"W2124905251","doi":"10.5194/bg-11-2185-2014","title":"Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; University of Virginia; National Aeronautics and Space Administration; Natural Resources Canada; Université Laval; Microsoft Research; Office of Science; U.S. Department of Energy; National Science Foundation","keywords":"FluxNet; Biome; Primary production; Environmental science; Terrestrial ecosystem; Moderate-resolution imaging spectroradiometer; Carbon cycle; Remote sensing; Shrubland; Vegetation (pathology); Climatology; Ecosystem; Atmospheric sciences; Satellite; Geography; Eddy covariance; Ecology; Geology","score_opus":0.030409634382813584,"score_gpt":0.28756541334266067,"score_spread":0.2571557789598471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124905251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9760355,0.00021714032,0.002250774,0.00011969222,0.000015509982,0.000095634954,0.020039827,0.00012992132,0.0010961841],"genre_scores_gemma":[0.93522686,0.00016968652,0.01058088,0.00007401724,0.000025530686,0.00034960065,0.05304151,0.000038319522,0.0004936966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910814,0.0003855666,0.000064452535,0.00019284572,0.00019417408,0.000054828735],"domain_scores_gemma":[0.997033,0.0011340539,0.0006342018,0.00028521032,0.0007563078,0.00015726493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002539909,0.00056278176,0.00038340542,0.001670896,0.00027317443,0.00067246245,0.00062182,0.00036763193,0.00071021984],"category_scores_gemma":[0.0030482828,0.0002307565,0.00038876836,0.0014891792,0.0002009781,0.0010460654,0.00040923362,0.00030841687,0.0002983951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006722336,0.00050218013,0.93084586,0.00024680872,0.00043613507,0.00022718444,0.00026450696,0.02373841,0.0056000077,0.0003200138,0.0072220284,0.02992447],"study_design_scores_gemma":[0.00010175751,0.00012257314,0.92375314,0.00005597851,0.00007698228,0.00006900436,0.00017711877,0.07130439,0.0016388785,0.00008285831,0.002573152,0.000044206063],"about_ca_topic_score_codex":0.08877899,"about_ca_topic_score_gemma":0.103609286,"teacher_disagreement_score":0.08877899,"about_ca_system_score_codex":0.001070874,"about_ca_system_score_gemma":0.0004579142,"threshold_uncertainty_score":0.17652446},"labels":[],"label_agreement":null},{"id":"W2125040359","doi":"10.5194/bg-10-753-2013","title":"Present state of global wetland extent and wetland methane modelling: conclusions from a model inter-comparison project (WETCHIMP)","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":683,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; 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; Greenhouse gas; Climate change; Forcing (mathematics); Precipitation; Methane; Climatology; Global warming; Atmospheric sciences; Hydrology (agriculture); Meteorology; Ecology; Geography; Geology","score_opus":0.029896196078950683,"score_gpt":0.2773239345708247,"score_spread":0.24742773849187402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125040359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9484156,0.0012350085,0.014096064,0.004793635,0.00021358403,0.00040248578,0.017710177,0.0014952157,0.011638234],"genre_scores_gemma":[0.9201753,0.0007153948,0.045007765,0.00045603412,0.0000938043,0.000975024,0.029842202,0.00077751593,0.0019569234],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99733293,0.0014677916,0.000116290175,0.00033253332,0.00051850354,0.00023198036],"domain_scores_gemma":[0.9925097,0.003091319,0.0005627839,0.0015384946,0.0015438482,0.00075381564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014172612,0.0014973368,0.0011219586,0.0007265429,0.0007458413,0.0015783919,0.0039832992,0.0018961356,0.0022611034],"category_scores_gemma":[0.009092299,0.0006198295,0.0021009922,0.0014268162,0.00081369956,0.0028547093,0.0024365147,0.002309583,0.0004751728],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0039095,0.003779794,0.075948305,0.0007887923,0.001064893,0.00034541183,0.00044093822,0.80188185,0.007358571,0.0070486963,0.027428899,0.07000433],"study_design_scores_gemma":[0.0013777988,0.0022812453,0.082385965,0.00026140365,0.00051602034,0.0001055546,0.0004557735,0.8786309,0.016262613,0.0035544503,0.013949495,0.00021881456],"about_ca_topic_score_codex":0.027879803,"about_ca_topic_score_gemma":0.016614426,"teacher_disagreement_score":0.027879803,"about_ca_system_score_codex":0.0020316627,"about_ca_system_score_gemma":0.0027469022,"threshold_uncertainty_score":0.07495284},"labels":[],"label_agreement":null},{"id":"W2125997754","doi":"10.5194/bg-7-1375-2010","title":"Soil surface CO <sub>2</sub> flux increases with successional time in a fire scar chronosequence of Canadian boreal jack pine forest","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service","funders":"Centre for Ecology and Hydrology; Natural Environment Research Council","keywords":"Chronosequence; Taiga; Boreal; Environmental science; Prescribed burn; Ecological succession; Fire regime; Animal science; Pine forest; Flux (metallurgy); Forestry; Ecology; Chemistry; Ecosystem; Biology; Geography","score_opus":0.004801709472296422,"score_gpt":0.19391300186104088,"score_spread":0.18911129238874447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125997754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853325,0.00015854958,0.00009153586,0.00001622447,0.0000032598657,0.0000044263998,0.0007528135,0.00001013878,0.00042988043],"genre_scores_gemma":[0.99908245,0.000049065828,0.00012863532,0.000009812482,0.000001339108,0.0000037948794,0.0005262876,0.000002536459,0.00019603268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998596,0.000007938939,0.000007118218,0.000047997437,0.00003328781,0.000044093336],"domain_scores_gemma":[0.9993299,0.000047029793,0.00013424797,0.000029515462,0.00033688897,0.00012244839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030102732,0.00030292632,0.00022461073,0.001078431,0.0008997768,0.0006238234,0.0004469461,0.00024129168,0.0008773872],"category_scores_gemma":[0.0005667431,0.00018589418,0.00027551674,0.000912216,0.0003464088,0.00022834551,0.0002185171,0.00023427182,0.00013764361],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015672436,0.000019209163,0.9885124,0.000025285584,0.00005546606,0.00011434029,0.0004065025,0.00027055404,0.006260726,0.000028049115,0.0002755555,0.003875162],"study_design_scores_gemma":[6.2363154e-7,0.0000026362652,0.9996284,0.0000011747569,0.0000037666687,0.00001928798,0.000056140037,0.00012149839,0.000065618646,0.0000017022599,0.0000975623,0.0000015297468],"about_ca_topic_score_codex":0.91720706,"about_ca_topic_score_gemma":0.9620133,"teacher_disagreement_score":0.08279294,"about_ca_system_score_codex":0.003868656,"about_ca_system_score_gemma":0.0019007291,"threshold_uncertainty_score":0.16656101},"labels":[],"label_agreement":null},{"id":"W2126233020","doi":"10.5194/bg-5-215-2008","title":"Nutrient limitation of primary productivity in the Southeast Pacific (BIOSOPE cruise)","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":166,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; National Aeronautics and Space Administration","keywords":"Ocean gyre; Phytoplankton; Oceanography; Biogeochemical cycle; Iron fertilization; Environmental science; Nutrient; Chlorophyll a; Pelagic zone; Productivity; Photic zone; Subtropics; Geology; Ecology; Biology; Botany","score_opus":0.031008770452273786,"score_gpt":0.19326145765053934,"score_spread":0.16225268719826555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126233020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920976,0.00005581816,0.000035097604,0.000019043495,0.000001907635,0.00000231205,0.00033796005,0.000004535079,0.00033352026],"genre_scores_gemma":[0.9988423,0.00006845367,0.000116287934,0.000013094987,0.0000024994438,0.0000055952187,0.0006541895,0.0000023358846,0.00029535446],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999621,0.0000044951335,0.0000023966045,0.000013194532,0.000008801607,0.000009040016],"domain_scores_gemma":[0.9997998,0.000018337107,0.00006905617,0.00001344607,0.00004651398,0.000052932715],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010630451,0.00022229615,0.0001342613,0.0002831079,0.00030672902,0.00022521183,0.0001330451,0.00012386365,0.0005720415],"category_scores_gemma":[0.00022276909,0.000091585745,0.000118669326,0.000286543,0.00019195679,0.00013976502,0.00028575867,0.00013815814,0.000095624775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020646886,0.00002849576,0.9617312,0.000040580013,0.000060742037,0.00036349596,0.0004157294,0.00025781622,0.032643884,0.000031942847,0.00042863307,0.0037909423],"study_design_scores_gemma":[9.816073e-7,0.000010740061,0.9994066,0.0000014461135,0.0000035208873,0.000019462135,0.00006469406,0.00007989015,0.00028553454,0.000004023795,0.00012263763,5.948244e-7],"about_ca_topic_score_codex":0.10572168,"about_ca_topic_score_gemma":0.17396541,"teacher_disagreement_score":0.10572168,"about_ca_system_score_codex":0.0003977578,"about_ca_system_score_gemma":0.00039267296,"threshold_uncertainty_score":0.21021265},"labels":[],"label_agreement":null},{"id":"W2127129823","doi":"10.5194/bg-10-6793-2013","title":"Photooxidation of dimethylsulfide (DMS) in the Canadian Arctic","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Colored dissolved organic matter; Chemistry; Dissolved organic carbon; Photodissociation; Quantum yield; Environmental chemistry; Photochemistry; Arctic; Spectral slope; Oceanography; Phytoplankton; Spectral line; Nutrient; Geology; Fluorescence","score_opus":0.013812355814443941,"score_gpt":0.1945017832122592,"score_spread":0.18068942739781524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127129823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970855,0.00051556714,0.00025938207,0.000032339205,0.0000061519186,0.000009555003,0.0005761224,0.000011884377,0.0015034914],"genre_scores_gemma":[0.99693644,0.00050669897,0.0005500417,0.000030113666,0.0000021977164,0.000006824625,0.00064087735,0.000005081216,0.0013218183],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998447,0.0000048021006,0.0000040434697,0.00003810307,0.000074173135,0.00003420081],"domain_scores_gemma":[0.9998217,0.000007157491,0.000016989583,0.0000030916938,0.00012747184,0.000023497465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015429701,0.00053674966,0.00023717986,0.0007141696,0.00157359,0.00050477096,0.00025158058,0.0002192488,0.0005177687],"category_scores_gemma":[0.0001449008,0.00018291325,0.00028414684,0.00080870057,0.00030183975,0.00015140069,0.00027569832,0.00021654138,0.00009982698],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006962321,0.00005597667,0.28469914,0.0003293859,0.00016150372,0.00029673707,0.00095861143,0.0024821262,0.6865703,0.00040167346,0.0006865662,0.022661649],"study_design_scores_gemma":[0.000014090438,0.00010545609,0.897302,0.000017118185,0.00007826995,0.000096327225,0.0008652683,0.0024676402,0.093814485,0.00006823201,0.0051391865,0.000031923755],"about_ca_topic_score_codex":0.9231483,"about_ca_topic_score_gemma":0.93701476,"teacher_disagreement_score":0.076851726,"about_ca_system_score_codex":0.007735384,"about_ca_system_score_gemma":0.004560257,"threshold_uncertainty_score":0.1546086},"labels":[],"label_agreement":null},{"id":"W2127406525","doi":"10.5194/bg-9-4215-2012","title":"Modelling contrasting responses of wetland productivity to changes in water table depth","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Compute Canada; U.S. Department of Energy; University of Alberta; National Science Foundation","keywords":"Environmental science; Eddy covariance; Primary production; Water table; Ecosystem; Wetland; Hydrology (agriculture); Productivity; Atmospheric sciences; Ecosystem respiration; Ecology; Groundwater; Geology; Biology","score_opus":0.03132558129110562,"score_gpt":0.24742711230944747,"score_spread":0.21610153101834184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127406525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972197,0.000011892881,0.0020369515,0.000016057511,0.0000031828502,0.00000887279,0.00017883228,0.000045282293,0.00047922943],"genre_scores_gemma":[0.9986319,0.00000961916,0.0011208511,0.0000059310264,7.4376663e-7,0.0000093133,0.000063544845,0.0000069955586,0.00015105068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990714,0.00002270512,0.000005859207,0.000026949652,0.000010205978,0.00002707431],"domain_scores_gemma":[0.99955994,0.00026128208,0.000054912412,0.00002719842,0.00004547205,0.00005115486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028896352,0.00042975237,0.00023791708,0.00020401631,0.0002215938,0.00054160546,0.0006320757,0.0005799474,0.00075191876],"category_scores_gemma":[0.0007665159,0.00034074316,0.00045103536,0.00016880012,0.000246062,0.00039324144,0.00030012606,0.00030875608,0.000061296996],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012810584,0.00006324582,0.024891663,0.0000280193,0.000055682336,0.00007425342,0.000031735282,0.9639875,0.008457918,0.00023278878,0.000081191196,0.0019678304],"study_design_scores_gemma":[0.00001903894,0.00006243932,0.009728106,0.0000023922385,0.000017348333,0.000013215562,0.00002318669,0.9879296,0.0019400846,0.00014410565,0.0001109171,0.000009598448],"about_ca_topic_score_codex":0.029756673,"about_ca_topic_score_gemma":0.031300608,"teacher_disagreement_score":0.029756673,"about_ca_system_score_codex":0.0010979474,"about_ca_system_score_gemma":0.00064111204,"threshold_uncertainty_score":0.05916691},"labels":[],"label_agreement":null},{"id":"W2127528125","doi":"10.5194/bg-7-1669-2010","title":"Impacts of hypoxia on the structure and processes in pelagic communities (zooplankton, macro-invertebrates and fish)","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":458,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Pelagic zone; Nekton; Plankton; Trophic level; Biology; Ecology; Hypoxia (environmental); Water column; Zooplankton; Invertebrate; Benthic zone; Ecosystem; Oceanography; Oxygen; Habitat","score_opus":0.010590076263791829,"score_gpt":0.19357379365083838,"score_spread":0.18298371738704655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127528125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984339,0.00021002858,0.00015601197,0.000027500457,0.0000030233064,0.000003749806,0.00014184082,0.0000027279925,0.0010213304],"genre_scores_gemma":[0.999321,0.000121592566,0.00010459078,0.000013512037,0.0000027665878,0.0000031827567,0.000109983695,9.1964245e-7,0.00032253578],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990237,0.00002156075,0.000006931945,0.000018001474,0.000020454894,0.00003067166],"domain_scores_gemma":[0.99969697,0.00003788155,0.00010703028,0.000012077295,0.0000463201,0.00009968777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014945028,0.00012637753,0.00009819524,0.00024063209,0.00024733425,0.00032245374,0.0001197467,0.0001441434,0.0012528618],"category_scores_gemma":[0.0003019618,0.000071396884,0.00011485843,0.00015521383,0.00022555608,0.00019962023,0.0004608514,0.000113418195,0.00013400038],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038520896,0.00008824676,0.8825098,0.00013782365,0.000120046025,0.00047832003,0.0005682391,0.0010344042,0.091445155,0.000505918,0.00026952848,0.022457398],"study_design_scores_gemma":[9.3740704e-7,0.000075482196,0.99854267,0.00000447104,0.000006712581,0.00005790076,0.00012245626,0.00022251923,0.00065993203,0.00007308238,0.00023262373,0.0000013099383],"about_ca_topic_score_codex":0.004182085,"about_ca_topic_score_gemma":0.0056432704,"teacher_disagreement_score":0.004182085,"about_ca_system_score_codex":0.00033727064,"about_ca_system_score_gemma":0.00017579518,"threshold_uncertainty_score":0.008315444},"labels":[],"label_agreement":null},{"id":"W2127687533","doi":"10.5194/bg-12-3551-2015","title":"A 50 % increase in the mass of terrestrial particles delivered by the Mackenzie River into the Beaufort Sea (Canadian Arctic Ocean) over the last 10 years","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Arctic; Oceanography; Permafrost; Environmental science; Colored dissolved organic matter; Discharge; Sea ice; Particulates; River mouth; Seawater; Geology; Hydrology (agriculture); Drainage basin; Phytoplankton; Sediment; Geography; Ecology","score_opus":0.03607584353358453,"score_gpt":0.23806986895632967,"score_spread":0.20199402542274514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127687533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972114,0.0002224416,0.00015863153,0.00003360067,0.0000051697716,0.0000038190824,0.0014972675,0.000017281336,0.00085046876],"genre_scores_gemma":[0.9974796,0.00014653165,0.00037037287,0.000024557328,0.0000041985836,0.0000041689977,0.0013467636,0.000002537757,0.0006213093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998859,0.000006730893,0.0000070375268,0.000034991906,0.00004269638,0.000022649876],"domain_scores_gemma":[0.9997793,0.000017900657,0.00009076877,0.000009834395,0.00008116651,0.000021030706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016625345,0.000264414,0.00011313809,0.0005245683,0.00051744503,0.000466371,0.00019666828,0.00019517234,0.0005338332],"category_scores_gemma":[0.00030119327,0.00008566981,0.0003540586,0.00063767144,0.00013118132,0.00019154504,0.00019245766,0.00014553679,0.00008053664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006011339,0.00001203726,0.98381084,0.000032401105,0.00012074609,0.000114489005,0.0001197708,0.0013151941,0.006119835,0.000032623826,0.0003673535,0.007894556],"study_design_scores_gemma":[8.8178695e-7,0.000007767585,0.99828523,0.0000026222237,0.000011619187,0.00002464128,0.000072702656,0.00036472976,0.0005968023,0.000003585796,0.00062674156,0.0000026102277],"about_ca_topic_score_codex":0.6026402,"about_ca_topic_score_gemma":0.7344399,"teacher_disagreement_score":0.3973598,"about_ca_system_score_codex":0.0019348954,"about_ca_system_score_gemma":0.0010371835,"threshold_uncertainty_score":0.79939985},"labels":[],"label_agreement":null},{"id":"W2128005287","doi":"10.5194/bg-7-2557-2010","title":"Upscaling reflectance information of lichens and mosses using a singularity index: a case study of the Hudson Bay Lowlands, Canada","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Nuclear Safety Commission; Churchill Northern Studies Centre; York University","keywords":"Environmental science; Lichen; Remote sensing; Moss; Vegetation (pathology); Peat; Moisture; Bay; Physical geography; Geology; Geography; Meteorology; Ecology; Oceanography","score_opus":0.010918606478326473,"score_gpt":0.2374200021575988,"score_spread":0.2265013956792723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128005287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977502,0.000110483634,0.0007228542,0.00004181633,0.0000035231467,0.000039932405,0.00034176686,0.00007435035,0.0009150112],"genre_scores_gemma":[0.99363756,0.00011754316,0.0050839116,0.000017880977,0.0000020941486,0.000010298938,0.0005673331,0.000019820034,0.00054348964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996917,0.000022019634,0.000014487523,0.000065447675,0.00013422231,0.000072047245],"domain_scores_gemma":[0.99920136,0.000112692585,0.00004102931,0.00004321574,0.0004942493,0.000107526685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005532514,0.0005201299,0.00031984696,0.0015556277,0.0013566472,0.0010491182,0.00084754475,0.00026075292,0.00048956025],"category_scores_gemma":[0.00097131927,0.00021815469,0.00036616152,0.0023472502,0.000528064,0.00033595203,0.00046493378,0.000384063,0.00009853761],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005472916,0.0007392049,0.7549017,0.00036354118,0.00023774167,0.0044059567,0.0022081486,0.052965734,0.0373677,0.000520666,0.0023564885,0.14338583],"study_design_scores_gemma":[0.00007449586,0.00017730982,0.85357827,0.000047282232,0.0001258517,0.00035276328,0.0051354175,0.12871698,0.00888854,0.00014099374,0.0027039126,0.000058136626],"about_ca_topic_score_codex":0.9511106,"about_ca_topic_score_gemma":0.9745939,"teacher_disagreement_score":0.0488894,"about_ca_system_score_codex":0.008673078,"about_ca_system_score_gemma":0.005139716,"threshold_uncertainty_score":0.09835458},"labels":[],"label_agreement":null},{"id":"W2128680864","doi":"10.5194/bg-11-1899-2014","title":"Technical Note: Weight approximation of coccoliths using a circular polarizer and interference colour derived retardation estimates – (The CPR Method)","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Polarizer; Coccolith; Interference (communication); Calibration; Coccolithophore; Optics; Birefringence; Wavelength; Materials science; Mineralogy; Geology; Physics; Chemistry; Mathematics; Statistics; Computer science; Telecommunications; Carbonate","score_opus":0.02124172010332993,"score_gpt":0.26680368251454734,"score_spread":0.24556196241121742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2128680864","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010766362,0.0009995466,0.98050594,0.0007389147,0.0010784654,0.00020591648,0.00050496357,0.0018880378,0.0033118008],"genre_scores_gemma":[0.07770345,0.0015262685,0.90540576,0.00028484865,0.00043032406,0.0003803341,0.0008141128,0.0008486794,0.012606184],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9976179,0.00037200103,0.00013358514,0.0005475518,0.0012689458,0.000060009126],"domain_scores_gemma":[0.99515873,0.0011313027,0.00048679303,0.0011951638,0.0018776691,0.00015033984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002866571,0.0010179664,0.0004502879,0.0020676798,0.0006479201,0.0009146904,0.0018252479,0.00081996527,0.011584748],"category_scores_gemma":[0.0080424985,0.0006319342,0.0006713674,0.0010600409,0.0012547092,0.0012149949,0.001952389,0.0019020857,0.012215932],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026405844,0.000057130284,0.0059459126,0.000990614,0.00007722638,0.0010145358,0.0003426444,0.0019981472,0.65165746,0.009844101,0.02245955,0.3053487],"study_design_scores_gemma":[0.000043026226,0.0003636501,0.020869704,0.00013902262,0.00014921851,0.009766564,0.0001896233,0.04006282,0.7689174,0.006385853,0.15284884,0.0002643298],"about_ca_topic_score_codex":0.0018704232,"about_ca_topic_score_gemma":0.0031931158,"teacher_disagreement_score":0.011584748,"about_ca_system_score_codex":0.000478194,"about_ca_system_score_gemma":0.0008028188,"threshold_uncertainty_score":0.03875488},"labels":[],"label_agreement":null},{"id":"W2130039200","doi":"10.5194/bg-8-41-2011","title":"Annual follow-up of gross diffusive carbon dioxide and methane emissions from a boreal reservoir and two nearby lakes in Québec, Canada","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; GDG Environnement","funders":"Hydro-Québec","keywords":"Environmental science; Flux (metallurgy); Greenhouse gas; Boreal; Carbon dioxide; Atmospheric sciences; Methane; Spring (device); Climatology; Oceanography; Geology; Chemistry","score_opus":0.009432933361954107,"score_gpt":0.20243363892081026,"score_spread":0.19300070555885615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130039200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979342,0.000047479793,0.000107633845,0.000041059706,0.0000019736567,0.000011941103,0.0010810795,0.000012654487,0.0007619615],"genre_scores_gemma":[0.9981085,0.000027288845,0.000175258,0.000021113585,9.102199e-7,0.0000075504263,0.00080707576,0.0000029335724,0.00084929384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998846,0.000007746395,0.0000034818145,0.000028742345,0.00003739546,0.000038039456],"domain_scores_gemma":[0.99961627,0.000021660726,0.000039694045,0.000011474429,0.00023319654,0.00007773763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017065524,0.00028449734,0.00020632625,0.00046601662,0.001400741,0.000508049,0.00048655187,0.0003093657,0.00090460066],"category_scores_gemma":[0.0003247512,0.00014878485,0.00016012235,0.0007607155,0.00024356633,0.00026746318,0.00031878785,0.00027888583,0.00013292527],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002391531,0.0000873324,0.9723069,0.000033884302,0.00010029185,0.0004864395,0.0010305829,0.0012796866,0.014222077,0.00006887589,0.0011472568,0.008997574],"study_design_scores_gemma":[0.0000044614026,0.000018023951,0.9970176,0.000003434395,0.000010504018,0.000029848858,0.0003986225,0.0012701907,0.0006392508,0.0000068147024,0.0005939824,0.000007288115],"about_ca_topic_score_codex":0.9697402,"about_ca_topic_score_gemma":0.9903858,"teacher_disagreement_score":0.030259788,"about_ca_system_score_codex":0.01027958,"about_ca_system_score_gemma":0.003063002,"threshold_uncertainty_score":0.07458395},"labels":[],"label_agreement":null},{"id":"W2130047251","doi":"10.5194/bg-9-1007-2012","title":"How do variations in the temporal distribution of rainfall events affect ecosystem fluxes in seasonally water-limited Northern Hemisphere shrublands and forests?","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; European Commission; 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; Shrubland; Ecosystem; Eddy covariance; Ecosystem respiration; Primary production; Atmospheric sciences; Precipitation; Productivity; Ecology; Climatology; Geography; Geology; Meteorology","score_opus":0.007457312542418714,"score_gpt":0.19765338656299508,"score_spread":0.19019607402057637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130047251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99936754,0.0001109036,0.00009890902,0.000023138633,0.0000019101026,0.0000013735628,0.00012896859,0.0000028444817,0.000264361],"genre_scores_gemma":[0.9997427,0.000032941953,0.000027530334,0.00000993815,0.0000026518203,0.0000013645468,0.000108711196,0.0000018885005,0.00007236591],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998423,0.00007179354,0.000008966985,0.00004021538,0.000013100573,0.000023687666],"domain_scores_gemma":[0.99923694,0.00033525456,0.0002435798,0.000047024205,0.00005020009,0.00008704823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049482746,0.00013141343,0.0002073854,0.00039340192,0.0001399612,0.0006458681,0.00014577302,0.00022426428,0.0012181724],"category_scores_gemma":[0.0012150824,0.00010373456,0.0001489762,0.00045810064,0.00030772868,0.00041138273,0.00019338235,0.00012954693,0.00015223655],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017417423,0.00003419439,0.9880634,0.000016284373,0.00012978633,0.00007143387,0.0001347021,0.00067966804,0.0071136546,0.00006673881,0.000087426,0.0034285088],"study_design_scores_gemma":[9.872242e-7,0.000006096604,0.9995639,7.024021e-7,0.0000043357536,0.000008331091,0.00003580802,0.00026397582,0.00005941923,0.000026567588,0.000029086048,8.141428e-7],"about_ca_topic_score_codex":0.005574668,"about_ca_topic_score_gemma":0.010988244,"teacher_disagreement_score":0.005574668,"about_ca_system_score_codex":0.00021562271,"about_ca_system_score_gemma":0.00013781185,"threshold_uncertainty_score":0.011084437},"labels":[],"label_agreement":null},{"id":"W2130274948","doi":"10.5194/bg-9-3305-2012","title":"The effect of atmospheric turbulence and chamber deployment period on autochamber CO <sub>2</sub> and CH <sub>4</sub> flux measurements in an ombrotrophic peatland","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; McGill University","funders":"Canadian Foundation for Climate and Atmospheric Sciences; BIOCAP Canada; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Flux (metallurgy); Atmospheric sciences; Peat; Environmental science; Atmosphere (unit); Turbulence; Greenhouse gas; Daytime; Chemistry; Meteorology; Oceanography; Physics; Geology; Ecology","score_opus":0.012928351042346143,"score_gpt":0.23572252118743506,"score_spread":0.22279417014508893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130274948","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990195,0.000039751016,0.00065506576,0.000008033376,0.0000047684634,0.000007166447,0.000102980215,0.00001875897,0.00014401677],"genre_scores_gemma":[0.99863726,0.000029469671,0.0010536963,0.000015437403,0.0000027668186,0.000011511898,0.00013906522,0.0000071489503,0.00010373354],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99967754,0.00004410861,0.000027746195,0.00009176714,0.000099823876,0.00005902469],"domain_scores_gemma":[0.998911,0.0004403536,0.00020756839,0.00008634965,0.00023677513,0.00011805119],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059387286,0.00034058015,0.00022713041,0.00022059312,0.0006101255,0.0005055534,0.00023334377,0.00019912254,0.00030638473],"category_scores_gemma":[0.00090636144,0.00026268023,0.00026038496,0.00018547034,0.00032986014,0.00023291835,0.00023863156,0.00022464372,0.00007927423],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010532513,0.000096260505,0.37789658,0.000077515775,0.00008898117,0.0002056303,0.00032210822,0.0019445852,0.60815233,0.00003655759,0.00014270705,0.00998353],"study_design_scores_gemma":[0.0000067433175,0.00036141154,0.9269682,0.0000049353093,0.000045972916,0.000086197084,0.00015303976,0.0033882435,0.06865361,0.000007365592,0.0003107607,0.000013443405],"about_ca_topic_score_codex":0.031730555,"about_ca_topic_score_gemma":0.08255275,"teacher_disagreement_score":0.031730555,"about_ca_system_score_codex":0.00092696096,"about_ca_system_score_gemma":0.00059370813,"threshold_uncertainty_score":0.063091755},"labels":[],"label_agreement":null},{"id":"W2130449444","doi":"10.5194/bg-6-469-2009","title":"Disentangling the effects of climate and people on Sahel vegetation dynamics","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"African Botany and Ecology Studies","field":"Agricultural and Biological Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; European Commission; Goddard Space Flight Center; University of East Anglia; National Aeronautics and Space Administration","keywords":"Vegetation (pathology); Geography; Environmental science; Population; Physical geography; Climate change; Herding; Climatology; Ecology; Geology; Forestry","score_opus":0.007273305350330501,"score_gpt":0.20864111714440287,"score_spread":0.20136781179407237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130449444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860555,0.00006815152,0.00058853504,0.00005362069,0.0000041324497,0.0000020087643,0.00013222711,0.000008838614,0.0005368352],"genre_scores_gemma":[0.99963975,0.000022872582,0.00016611326,0.000008427194,0.000003903928,0.0000012277648,0.00011653003,0.0000030661222,0.00003797125],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993755,0.00032753195,0.000037919166,0.000092251335,0.00008581435,0.00008102857],"domain_scores_gemma":[0.9974517,0.0016968185,0.00034520926,0.00014979576,0.00019208273,0.00016444897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014999841,0.000292296,0.00036301446,0.00074214605,0.00024831342,0.0010427918,0.0002503199,0.00028427932,0.001398611],"category_scores_gemma":[0.004124354,0.00017909062,0.00052372226,0.0007527647,0.0004059064,0.0008734526,0.0008057845,0.00038523914,0.00017157383],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000114906536,0.000034540113,0.9842211,0.0000263214,0.0003504841,0.00012676005,0.00040685124,0.0069179814,0.00092135253,0.00044253335,0.00013409104,0.006303088],"study_design_scores_gemma":[0.000009781548,0.00006895874,0.94759804,0.000018652583,0.00008123729,0.000048856135,0.0008672309,0.049636994,0.00054102624,0.0004339791,0.0006816559,0.000013602966],"about_ca_topic_score_codex":0.0142182205,"about_ca_topic_score_gemma":0.010243563,"teacher_disagreement_score":0.0142182205,"about_ca_system_score_codex":0.00030140096,"about_ca_system_score_gemma":0.00027026134,"threshold_uncertainty_score":0.0282709},"labels":[],"label_agreement":null},{"id":"W2130464518","doi":"10.5194/bg-8-3069-2011","title":"Contribution of non-carbonate anions to total alkalinity and overestimation of <i>p</i> CO <sub>2</sub> in New England and New Brunswick rivers","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":188,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Alkalinity; Carbonate; Bicarbonate; Carbon dioxide; Total inorganic carbon; Chemistry; Dissolved organic carbon; pCO2; Carbonate Ion; Ocean acidification; Environmental chemistry; Salinity; Oceanography; Geology; Seawater","score_opus":0.016772964423140205,"score_gpt":0.20942518130332588,"score_spread":0.1926522168801857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130464518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928122,0.00073111284,0.00044742652,0.0002973088,0.000017011305,0.000031853884,0.0012062984,0.00003246712,0.004424229],"genre_scores_gemma":[0.9952932,0.000429215,0.001234354,0.00021322689,0.000008471415,0.000050863204,0.000910785,0.000019310244,0.0018406365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906975,0.00007179357,0.00012473503,0.00034328297,0.00024864075,0.000141801],"domain_scores_gemma":[0.9973826,0.00039006575,0.0005897264,0.00012562965,0.0012990782,0.0002128634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009508572,0.0003835385,0.00041846206,0.00137191,0.0012590842,0.0020221572,0.0009320111,0.0004165465,0.001100493],"category_scores_gemma":[0.001626598,0.00046293795,0.00037841834,0.0017713517,0.0009693363,0.0007423826,0.0007189596,0.00061272393,0.00023203173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010363938,0.00001261788,0.9825304,0.00008964359,0.00007793162,0.0003116917,0.0010748851,0.0004950032,0.0073810886,0.0001382107,0.0005985202,0.0071863914],"study_design_scores_gemma":[0.000006567916,0.000006907395,0.99604577,0.000026430313,0.00002760103,0.00006202567,0.00068807445,0.0005494578,0.001201713,0.000024056444,0.0013488365,0.0000125791985],"about_ca_topic_score_codex":0.91260135,"about_ca_topic_score_gemma":0.96795315,"teacher_disagreement_score":0.08739865,"about_ca_system_score_codex":0.016224785,"about_ca_system_score_gemma":0.005305623,"threshold_uncertainty_score":0.17582667},"labels":[],"label_agreement":null},{"id":"W2130505659","doi":"10.5194/bg-11-6277-2014","title":"Retrieval of the photochemical reflectance index for assessing xanthophyll cycle activity: a comparison of near-surface optical sensors","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta; Alberta Innovates - Technology Futures","keywords":"Photochemical Reflectance Index; Remote sensing; Environmental science; Multispectral image; Eddy covariance; Irradiance; Nadir; Spectrometer; Diurnal cycle; Radiometry; Leaf area index; Atmospheric sciences; Optics; Normalized Difference Vegetation Index; Physics; Geography; Ecology","score_opus":0.017065036885863236,"score_gpt":0.2903383266120746,"score_spread":0.27327328972621134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130505659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97038573,0.0009751972,0.024448406,0.00007201287,0.00006891426,0.000056512872,0.0004453906,0.00031081194,0.0032370393],"genre_scores_gemma":[0.9553395,0.00046236394,0.04246316,0.00007964168,0.000027614346,0.000033942782,0.00069285906,0.000043085325,0.0008578058],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999608,0.00005654817,0.000017845947,0.00012248257,0.00016565097,0.000029495082],"domain_scores_gemma":[0.9997173,0.000058837853,0.0000340928,0.000038447957,0.0001290942,0.000022265025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062143017,0.00035520183,0.00041175168,0.0005866379,0.00018179542,0.0006834369,0.00042991422,0.0006314989,0.0007726324],"category_scores_gemma":[0.00076715497,0.00013759152,0.00038992212,0.00046364544,0.000142911,0.001035465,0.0003324841,0.00026480405,0.00056008797],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012326027,0.00057198916,0.079734094,0.0003041546,0.00027016795,0.00009272766,0.00011478109,0.013512161,0.7438866,0.00043245903,0.0012076105,0.15864062],"study_design_scores_gemma":[0.00013177595,0.0013934411,0.32702506,0.000052386637,0.0003079734,0.00061555865,0.0003202783,0.3456891,0.3197413,0.00043291252,0.0041323816,0.00015791126],"about_ca_topic_score_codex":0.0018718481,"about_ca_topic_score_gemma":0.003198522,"teacher_disagreement_score":0.0018718481,"about_ca_system_score_codex":0.0002182845,"about_ca_system_score_gemma":0.00020128992,"threshold_uncertainty_score":0.0037218332},"labels":[],"label_agreement":null},{"id":"W2130740562","doi":"10.5194/bg-12-4841-2015","title":"Multi-molecular tracers of terrestrial carbon transfer across the pan-Arctic: comparison of hydrolyzable components with plant wax lipids and lignin phenols","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Russian Academy of Sciences; Natural Environment Research Council; Fisheries and Oceans Canada; Eidgenössische Technische Hochschule Zürich; Nordisk Ministerråd; Knut och Alice Wallenbergs Stiftelse; Sight Research UK; National Oceanic and Atmospheric Administration; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Polarforskningssekretariatet; Woods Hole Oceanographic Institution; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Vetenskapsrådet; National Science Foundation","keywords":"Cutin; Suberin; Lignin; Chemistry; Phenols; Wax; Environmental chemistry; Context (archaeology); Botany; Organic matter; Arctic; Organic chemistry; Ecology; Geology; Biology; Biochemistry; Paleontology","score_opus":0.07841562433645656,"score_gpt":0.28097747768873316,"score_spread":0.2025618533522766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130740562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573636,0.0008787089,0.0017961735,0.00001395793,0.0000094227435,0.000012373448,0.00066466344,0.000022582915,0.0008657667],"genre_scores_gemma":[0.9935603,0.0009926552,0.0037478728,0.000040895102,0.000009964451,0.000019731762,0.0007981474,0.000018335597,0.0008120051],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998851,0.000011841986,0.000005439274,0.000043804717,0.000037000118,0.0000168617],"domain_scores_gemma":[0.9998529,0.000018530178,0.000042522235,0.0000068113413,0.000057824993,0.000021346703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022402,0.0004514115,0.00021610307,0.0008680769,0.00039207356,0.0005535289,0.00011762329,0.00029822078,0.0004461301],"category_scores_gemma":[0.00017152149,0.00014497196,0.00018408657,0.00089046516,0.00017664574,0.00025938344,0.00023110354,0.0003117524,0.00014470487],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020600579,0.00003087228,0.09867815,0.000117519805,0.00017132574,0.00006463364,0.00013358382,0.00040929194,0.89200485,0.00009780568,0.000045795412,0.008040182],"study_design_scores_gemma":[0.0000069205653,0.00018121804,0.852904,0.000022395918,0.00014051497,0.0001818593,0.00046381686,0.0028281708,0.1411044,0.00008348476,0.0020658036,0.000017338074],"about_ca_topic_score_codex":0.013337762,"about_ca_topic_score_gemma":0.019644646,"teacher_disagreement_score":0.013337762,"about_ca_system_score_codex":0.00032623418,"about_ca_system_score_gemma":0.0003719924,"threshold_uncertainty_score":0.026520252},"labels":[],"label_agreement":null},{"id":"W2131625616","doi":"10.5194/bg-7-2943-2010","title":"A data-model fusion approach for upscaling gross ecosystem productivity to the landscape scale based on remote sensing and flux footprint modelling","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Chinese Academy of Sciences; National Science Foundation","keywords":"Environmental science; Remote sensing; Satellite; Eddy covariance; Normalized Difference Vegetation Index; Primary production; Enhanced vegetation index; Flux (metallurgy); Footprint; Vegetation (pathology); Satellite imagery; Leaf area index; Ecosystem; Geology; Vegetation Index","score_opus":0.02801634861630293,"score_gpt":0.22953359346258162,"score_spread":0.2015172448462787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131625616","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06789465,0.00012439046,0.9291794,0.0001358705,0.00004249194,0.000074510994,0.00017230601,0.0013078289,0.0010686315],"genre_scores_gemma":[0.690001,0.000078060235,0.3087514,0.000055192853,0.00002815896,0.00017420693,0.00035915227,0.00010835482,0.0004444732],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963367,0.00009070312,0.000033099175,0.00010531765,0.000102015474,0.000035138957],"domain_scores_gemma":[0.99935895,0.00022203314,0.000080426114,0.000098030505,0.00020673336,0.00003389366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017440785,0.0009942524,0.00092156144,0.0011077705,0.00047393382,0.001127394,0.0010931528,0.0009496128,0.00088301144],"category_scores_gemma":[0.0022299446,0.00076175795,0.0011894879,0.0010187551,0.00042627432,0.0017592509,0.0009663422,0.0010201834,0.00019522203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037663383,0.000070638926,0.0018926713,0.000028529194,0.00009685972,0.000053813572,0.000044174452,0.9572116,0.00336807,0.0022314128,0.00027553667,0.034689024],"study_design_scores_gemma":[0.0000024895155,0.000004449611,0.00013793116,0.0000013054253,0.000004572296,0.0000021393494,0.000002547175,0.9989544,0.00029580118,0.0005109446,0.00008033922,0.00000293805],"about_ca_topic_score_codex":0.014392621,"about_ca_topic_score_gemma":0.01011793,"teacher_disagreement_score":0.014392621,"about_ca_system_score_codex":0.0012430049,"about_ca_system_score_gemma":0.0011130833,"threshold_uncertainty_score":0.02861768},"labels":[],"label_agreement":null},{"id":"W2131673531","doi":"10.5194/bg-12-977-2015","title":"Frozen ponds: production and storage of methane during the Arctic winter in a lowland tundra landscape in northern Siberia, Lena River delta","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Helmholtz-Gemeinschaft; European Commission; Alberta Agricultural Research Institute","keywords":"Tundra; Delta; River delta; Arctic; Environmental science; Physical geography; The arctic; Permafrost; Wetland; Methane; Geography; Hydrology (agriculture); Oceanography; Ecology; Geology","score_opus":0.031144120351743642,"score_gpt":0.2290080401917107,"score_spread":0.19786391983996707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131673531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998105,0.000019172883,0.000022065939,0.0000020379834,3.270983e-7,5.7725845e-7,0.000092432594,0.0000012492384,0.000051605308],"genre_scores_gemma":[0.99971277,0.000016004235,0.000041071886,0.0000015565339,6.055143e-7,0.0000015203187,0.00015058271,5.3214416e-7,0.00007527488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999567,0.000007869417,0.0000037818486,0.000013538258,0.00000765897,0.00001036833],"domain_scores_gemma":[0.99989164,0.000018213022,0.000033763477,0.0000071877816,0.000021972914,0.000027325006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015007218,0.0001886193,0.00019840694,0.0005897687,0.0004886092,0.00037399365,0.00020365967,0.00015043106,0.00060013955],"category_scores_gemma":[0.0001497774,0.00011273233,0.00016789766,0.00048576758,0.00028118162,0.00018330348,0.0002519882,0.00007359127,0.000073838426],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022393547,0.000033643555,0.980768,0.000026319785,0.000063040054,0.0003012838,0.0007158282,0.0005280711,0.01301936,0.000023258404,0.000047091155,0.0042501506],"study_design_scores_gemma":[0.0000013504709,0.000018672854,0.99884146,0.0000016682199,0.00000820451,0.00003464713,0.00028593265,0.00047898633,0.0002756359,0.0000069272583,0.00004515899,0.000001466844],"about_ca_topic_score_codex":0.030634305,"about_ca_topic_score_gemma":0.060557354,"teacher_disagreement_score":0.030634305,"about_ca_system_score_codex":0.0005893107,"about_ca_system_score_gemma":0.00026677962,"threshold_uncertainty_score":0.060912013},"labels":[],"label_agreement":null},{"id":"W2132066817","doi":"10.5194/bg-5-463-2008","title":"Gross community production and metabolic balance in the South Pacific Gyre, using a non intrusive bio-optical method","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":77,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Photic zone; Irradiance; Environmental science; New production; Heterotroph; Biological pump; Ocean gyre; Primary production; Water column; Mixed layer; Dissolved organic carbon; Carbon fibers; Carbon cycle; Atmospheric sciences; Oceanography; Subtropics; Ecology; Ecosystem; Phytoplankton; Nutrient; Biology; Geology","score_opus":0.03510662054199315,"score_gpt":0.24590156786450373,"score_spread":0.21079494732251058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132066817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976065,0.00011134229,0.0015227313,0.000007984204,0.0000020796838,0.000010584395,0.0003021493,0.00001082385,0.00042587495],"genre_scores_gemma":[0.9943895,0.00016455406,0.004296856,0.000011119827,0.0000048442116,0.000034891833,0.00053510634,0.000007812539,0.00055541843],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999232,0.0000106377265,0.0000033466197,0.00003025855,0.000027215545,0.0000053180897],"domain_scores_gemma":[0.999892,0.000021576077,0.000029587882,0.000011725609,0.000024895257,0.000020253294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001240057,0.00038998475,0.00011503227,0.00045022243,0.00020966247,0.00026255578,0.000206428,0.00018185089,0.0005197545],"category_scores_gemma":[0.00025204348,0.00017539134,0.00012285498,0.0003467959,0.00021064974,0.00028227,0.00027276325,0.00016067462,0.00012916073],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030178577,0.000067834844,0.5457612,0.00014016847,0.00014205152,0.00012611414,0.000499945,0.002697503,0.43110707,0.000116569354,0.000082802704,0.018956998],"study_design_scores_gemma":[0.000006870542,0.00010589941,0.9806387,0.000004750411,0.0000319126,0.00007066245,0.00009455834,0.0071315696,0.011541573,0.00004141302,0.0003252237,0.000006851325],"about_ca_topic_score_codex":0.0105925,"about_ca_topic_score_gemma":0.015264555,"teacher_disagreement_score":0.0105925,"about_ca_system_score_codex":0.0003020165,"about_ca_system_score_gemma":0.00017633139,"threshold_uncertainty_score":0.021061659},"labels":[],"label_agreement":null},{"id":"W2132197712","doi":"10.5194/bg-11-2991-2014","title":"Can current moisture responses predict soil CO <sub>2</sub> efflux under altered precipitation regimes? A synthesis of manipulation experiments","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"European Social Fund; Natural Environment Research Council; U.S. Geological Survey; Vlaamse regering; Ecological Society of America; Bundesministerium für Bildung und Forschung; British Ecological Society; Sight Research UK; Office of Science; Austrian Science Fund; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Precipitation; Efflux; Chemistry; Moisture; Environmental science; Biochemistry; Meteorology; Physics","score_opus":0.017378344011685098,"score_gpt":0.24506415683195562,"score_spread":0.22768581282027053,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132197712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98631763,0.0011567196,0.010702175,0.00007566693,0.000055312517,0.0002985314,0.0007991408,0.00012392718,0.00047106744],"genre_scores_gemma":[0.98558897,0.0010683015,0.010331419,0.00012140731,0.00004017093,0.0008827598,0.0014043775,0.000058578375,0.0005040118],"study_design_codex":"bench_or_experimental","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9990097,0.00034340302,0.00018312267,0.00030378488,0.00010386669,0.00005602087],"domain_scores_gemma":[0.99311286,0.0048142974,0.0010377043,0.00067560584,0.00025676974,0.00010271597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024883598,0.0007589184,0.0010702172,0.00034649135,0.00022788855,0.0006104637,0.00059785054,0.0004142932,0.0011313445],"category_scores_gemma":[0.004155283,0.00037760337,0.0013078488,0.0003429111,0.00052545534,0.0007290206,0.00040475864,0.000991863,0.00018881635],"study_design_candidate":"meta_analysis","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.018267028,0.0062890826,0.10966115,0.0026249131,0.006226726,0.00020454964,0.00069786486,0.019846277,0.7408567,0.0007689072,0.00070036814,0.09385639],"study_design_scores_gemma":[0.0013417919,0.04762604,0.55532295,0.00026387797,0.009609216,0.00024688418,0.00042567297,0.09626244,0.2763022,0.0016082267,0.010554548,0.00043613842],"about_ca_topic_score_codex":0.002996344,"about_ca_topic_score_gemma":0.0029710962,"teacher_disagreement_score":0.002996344,"about_ca_system_score_codex":0.00085205585,"about_ca_system_score_gemma":0.00032156776,"threshold_uncertainty_score":0.013159871},"labels":[],"label_agreement":null},{"id":"W2132448902","doi":"10.5194/bg-9-5231-2012","title":"Oxygen isotope ratios in the shell of <i>Mytilus edulis</i> : archives of glacier meltwater in Greenland?","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Bivalve and Aquaculture Studies","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Comisión de Investigaciones Científicas; Aage V. Jensens Fonde; Miljøministeriet; Vrije Universiteit Amsterdam; University College London; University of Reading; Iowa State University; Pinngortitaleriffik; Aarhus Universitet","keywords":"Isotopes of oxygen; Meltwater; Oceanography; Glacier; Mytilus; Oxygen; Geology; Chemistry; Geochemistry; Geomorphology","score_opus":0.013505197861741649,"score_gpt":0.23455790066295648,"score_spread":0.22105270280121483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132448902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988127,0.00009354143,0.00004592476,0.000012609584,0.0000014082907,0.0000013058127,0.0006309815,0.000013550408,0.00038810098],"genre_scores_gemma":[0.99845946,0.000042477353,0.00019546496,0.00002444728,0.0000017432295,0.000002738489,0.0008791685,0.000007784997,0.00038653763],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996006,0.0000026309426,0.000002946974,0.000018037535,0.000008158893,0.000008152803],"domain_scores_gemma":[0.9998883,0.0000054640086,0.000050392642,0.000008727048,0.000028516164,0.000018566832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010428719,0.00016907816,0.00013057879,0.00084668957,0.0003298375,0.00026884503,0.00018886154,0.00020016322,0.0005833641],"category_scores_gemma":[0.00011097895,0.00010135913,0.00013941695,0.00040306634,0.00017773581,0.00015879239,0.0002511839,0.00012479966,0.00019378198],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001004582,0.000016823655,0.9484111,0.000029300234,0.00006006384,0.00014175785,0.00042591177,0.00015708966,0.04392449,0.000028773853,0.00031182842,0.006392376],"study_design_scores_gemma":[5.2803847e-7,0.000004876709,0.9992442,0.0000015772903,0.000004486521,0.000029121758,0.000056754463,0.00007193298,0.00036668417,0.0000035522962,0.00021551993,9.024137e-7],"about_ca_topic_score_codex":0.04524779,"about_ca_topic_score_gemma":0.123751484,"teacher_disagreement_score":0.04524779,"about_ca_system_score_codex":0.0005518379,"about_ca_system_score_gemma":0.00017239986,"threshold_uncertainty_score":0.08996886},"labels":[],"label_agreement":null},{"id":"W2132747017","doi":"10.5194/bg-12-845-2015","title":"Biogeochemical variations at the Porcupine Abyssal Plain sustained Observatory in the northeast Atlantic Ocean, from weekly to inter-annual timescales","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Lamont-Doherty Earth Observatory, Columbia University; Canada Excellence Research Chairs, Government of Canada; Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Biogeochemical cycle; Environmental science; Oceanography; Argo; Ocean gyre; Mixed layer; Bloom; Climatology; Atmospheric sciences; Geology; Subtropics","score_opus":0.018514600014315097,"score_gpt":0.21335936586582124,"score_spread":0.19484476585150615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132747017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983627,0.000079316706,0.00008660451,0.000035862267,0.0000059797007,0.0000036018714,0.00059282687,0.000016570963,0.0008165881],"genre_scores_gemma":[0.9988066,0.000072189294,0.00018305401,0.000014157294,0.0000072227267,0.000005545504,0.00055760395,0.0000046393184,0.00034887376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998771,0.000009711951,0.0000075564653,0.00004096921,0.000040104176,0.000024599572],"domain_scores_gemma":[0.9995567,0.000035251043,0.00015353283,0.000031892552,0.00015892323,0.00006364429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016607743,0.00016811874,0.00012747917,0.0005425003,0.00027616607,0.00051777414,0.00022856028,0.00016213575,0.0006411111],"category_scores_gemma":[0.0005456005,0.00011475586,0.00013673157,0.0007449445,0.00022097855,0.0002775029,0.0004128477,0.00016775269,0.00011096234],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007788821,0.000026338223,0.976356,0.00003925387,0.00007831,0.0002882363,0.00056602224,0.0003327786,0.010160233,0.000030304183,0.00047814797,0.01156645],"study_design_scores_gemma":[8.0615024e-7,0.000003825108,0.9994611,0.0000017204712,0.0000027587841,0.000014425318,0.000065227534,0.000091449125,0.00009087455,0.0000019012596,0.00026513363,8.608138e-7],"about_ca_topic_score_codex":0.20846559,"about_ca_topic_score_gemma":0.3128944,"teacher_disagreement_score":0.20846559,"about_ca_system_score_codex":0.0007129054,"about_ca_system_score_gemma":0.00048236235,"threshold_uncertainty_score":0.41450435},"labels":[],"label_agreement":null},{"id":"W2133174876","doi":"10.5194/bg-7-3215-2010","title":"Spatial and temporal variability of the dimethylsulfide to chlorophyll ratio in the surface ocean: an assessment based on phytoplankton group dominance determined from space","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Goddard Space Flight Center; Centre National de la Recherche Scientifique; National Aeronautics and Space Administration","keywords":"Dimethylsulfoniopropionate; Phytoplankton; SeaWiFS; Oceanography; Chlorophyll a; Dominance (genetics); Prochlorococcus; Seawater; Environmental science; Synechococcus; Biology; Environmental chemistry; Chemistry; Botany; Cyanobacteria; Ecology; Geology; Nutrient","score_opus":0.009028618883517919,"score_gpt":0.23494103771319536,"score_spread":0.22591241882967744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133174876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992673,0.000045135006,0.00011813722,0.000007026194,0.000002296698,0.0000015525512,0.00026651923,0.000007269951,0.00028479015],"genre_scores_gemma":[0.99922323,0.00003179626,0.00019124898,0.000004649285,0.0000031336021,0.0000034043878,0.00041249645,0.0000032406733,0.00012679132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992263,0.000011989111,0.0000058319256,0.000028176362,0.000019453828,0.000011918159],"domain_scores_gemma":[0.99969244,0.0000628198,0.0000958,0.000026616122,0.00006577686,0.000056578196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002513811,0.00014819695,0.00013987355,0.0006751025,0.00014128815,0.00035142837,0.00013683892,0.0002145882,0.0004028468],"category_scores_gemma":[0.0003862009,0.000109514534,0.00018982652,0.00067718164,0.00017539553,0.0002041821,0.0002463397,0.00012808962,0.00014946282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019948835,0.000024472038,0.96112925,0.000020487949,0.00007596684,0.000076998476,0.0001824922,0.0005281237,0.032579716,0.000029329165,0.00010791084,0.005045643],"study_design_scores_gemma":[0.0000013223423,0.000022136357,0.9983889,0.0000012435521,0.000009518105,0.000021781052,0.00005913768,0.000650188,0.00072721863,0.0000070062465,0.000109129614,0.0000024729948],"about_ca_topic_score_codex":0.008201963,"about_ca_topic_score_gemma":0.00887203,"teacher_disagreement_score":0.008201963,"about_ca_system_score_codex":0.00020208953,"about_ca_system_score_gemma":0.00013497166,"threshold_uncertainty_score":0.016308427},"labels":[],"label_agreement":null},{"id":"W2133301919","doi":"10.5194/bg-4-941-2007","title":"Growth and specific P-uptake rates of bacterial and phytoplanktonic communities in the Southeast Pacific (BIOSOPE cruise)","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Picoplankton; Biomass (ecology); Phytoplankton; Autotroph; Trophic level; Mixotroph; Photic zone; Chlorophyll a; Environmental science; Abundance (ecology); Heterotroph; Plankton; Transect; Bacterioplankton; Oceanography; Thalassiosira pseudonana; Biology; Ecology; Nutrient; Botany; Geology; Bacteria","score_opus":0.025001284456176286,"score_gpt":0.21163795012495482,"score_spread":0.18663666566877854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133301919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992274,0.00003803962,0.000092927236,0.0000039535917,7.865322e-7,0.0000016686431,0.00037645226,0.0000051046704,0.00025372315],"genre_scores_gemma":[0.99779534,0.000056877543,0.0003911928,0.000006441226,0.0000011512612,0.000008562717,0.0011820522,0.0000042297943,0.00055422785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996126,0.0000029832402,0.0000022924964,0.00001620671,0.000011501915,0.000005890637],"domain_scores_gemma":[0.99977773,0.000024016019,0.000062013336,0.000010688719,0.000074137904,0.00005149703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000111740424,0.00034937816,0.00010565682,0.0004593484,0.00031521323,0.00021228251,0.00015793862,0.00019052556,0.00056001026],"category_scores_gemma":[0.00028493925,0.0001501754,0.00023061619,0.0003304818,0.00019549698,0.00028094096,0.00024407382,0.00023100837,0.00019368721],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031691734,0.000027366203,0.92865014,0.000045176763,0.000056771998,0.0001514691,0.00066923304,0.0007400359,0.06446276,0.000030222427,0.00021604446,0.004633894],"study_design_scores_gemma":[5.7388235e-7,0.000016943153,0.9988312,0.0000011325147,0.0000035254034,0.00001697824,0.000080594655,0.00026370183,0.0007150755,0.000003837549,0.00006504875,0.0000013512365],"about_ca_topic_score_codex":0.093838625,"about_ca_topic_score_gemma":0.14793745,"teacher_disagreement_score":0.093838625,"about_ca_system_score_codex":0.00034244132,"about_ca_system_score_gemma":0.00020036811,"threshold_uncertainty_score":0.18658489},"labels":[],"label_agreement":null},{"id":"W2133832062","doi":"10.5194/bg-12-991-2015","title":"Pigment signatures of phytoplankton communities in the Beaufort Sea","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; European Commission; Université Laval","keywords":"Phytoplankton; Oceanography; Beaufort sea; Environmental science; Beaufort scale; Fishery; Arctic; Ecology; Geology; Biology; Nutrient","score_opus":0.014789440046942683,"score_gpt":0.20451647734294023,"score_spread":0.18972703729599755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133832062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99865156,0.00011019161,0.00018062747,0.000011211077,0.000003727119,0.000002542392,0.00024959035,0.00001636422,0.00077416876],"genre_scores_gemma":[0.9980856,0.000050541643,0.00072011293,0.00002112162,0.000004818141,0.000004780217,0.00052276516,0.00000842441,0.0005818895],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973863,0.00003178864,0.000008047812,0.0000673873,0.0001019476,0.000052146665],"domain_scores_gemma":[0.9996006,0.00003470873,0.00012555865,0.00001919758,0.00015275643,0.000067171975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030984948,0.00033541102,0.00024449377,0.0011155141,0.00081630825,0.0005483543,0.00024790844,0.00024374499,0.0005732499],"category_scores_gemma":[0.0002908164,0.00018935704,0.00029282653,0.0007606692,0.00027675464,0.00022515772,0.0003546645,0.00017205023,0.00018149838],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000734006,0.00004379041,0.7299486,0.000066977314,0.00013454555,0.000452374,0.0014902909,0.0016546121,0.24545138,0.00008324562,0.0006323343,0.01930779],"study_design_scores_gemma":[0.0000017034582,0.000045893587,0.99659854,0.000002898711,0.000007806824,0.00006743083,0.00016725587,0.0004956252,0.00214865,0.000005571183,0.0004526814,0.0000059582835],"about_ca_topic_score_codex":0.10254266,"about_ca_topic_score_gemma":0.14797683,"teacher_disagreement_score":0.10254266,"about_ca_system_score_codex":0.00097076886,"about_ca_system_score_gemma":0.00046466303,"threshold_uncertainty_score":0.20389163},"labels":[],"label_agreement":null},{"id":"W2133882599","doi":"10.5194/bg-4-729-2007","title":"Nitrous oxide distribution and its origin in the central and eastern South Pacific Subtropical Gyre","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Fondo de Financiamiento de Centros de Investigación en Áreas Prioritarias; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Ocean gyre; Denitrification; Oceanography; Nitrification; Pycnocline; Environmental science; Upwelling; Water column; Subtropics; Geology; Ecology; Chemistry; Biology; Nitrogen","score_opus":0.015156646497774885,"score_gpt":0.20485367356335243,"score_spread":0.18969702706557756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133882599","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929726,0.000071423485,0.000018777131,0.00001386132,0.0000012973629,0.0000021630892,0.00014503222,0.0000031613633,0.0004469815],"genre_scores_gemma":[0.9993285,0.000092764494,0.00005849601,0.0000089538335,0.0000027646836,0.000005783974,0.00027647178,0.000002182415,0.00022410411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999573,0.00000420482,0.0000034088973,0.00001572905,0.000009927446,0.000009331871],"domain_scores_gemma":[0.9998605,0.000012308858,0.00003959545,0.0000085966885,0.000041616986,0.000037387817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011522681,0.00027261738,0.00016353751,0.0008030231,0.0003394152,0.0004083007,0.0001544825,0.0001600889,0.00070556963],"category_scores_gemma":[0.00020108408,0.00011930494,0.0001988556,0.000724534,0.00031487594,0.00020703748,0.00038337056,0.00014048415,0.00013032228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000562854,0.000010170438,0.9869414,0.000028122831,0.000053821783,0.00015015109,0.00077183876,0.00011651311,0.008230022,0.000040656385,0.00009210785,0.003508915],"study_design_scores_gemma":[9.763676e-7,0.000003439221,0.9994904,0.0000018361727,0.0000040898585,0.00001602271,0.00022470416,0.00005767628,0.000074323565,0.00000397535,0.00012153225,0.0000010104745],"about_ca_topic_score_codex":0.06621044,"about_ca_topic_score_gemma":0.087258115,"teacher_disagreement_score":0.06621044,"about_ca_system_score_codex":0.00052133924,"about_ca_system_score_gemma":0.0004398549,"threshold_uncertainty_score":0.13165015},"labels":[],"label_agreement":null},{"id":"W2133898398","doi":"10.5194/bg-8-3545-2011","title":"Sedimentary organic matter and carbonate variations in the Chukchi Borderland in association with ice sheet and ocean-atmosphere dynamics over the last 155 kyr","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"JST-Mirai Program; Japan Society for the Promotion of Science","keywords":"Geology; Sapropel; Oceanography; Biogenic silica; Glacial period; Ice core; Sedimentary rock; Arctic; Total organic carbon; Ice sheet; Stadial; Paleoclimatology; Holocene; Paleontology; Climate change; Diatom; Mediterranean climate","score_opus":0.007949298648054366,"score_gpt":0.19996741954922842,"score_spread":0.19201812090117407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133898398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99956423,0.00008509361,0.00001055046,0.0000084780095,0.0000015383574,8.054787e-7,0.00019407735,0.0000011369432,0.00013399545],"genre_scores_gemma":[0.9993642,0.00006271898,0.000028706627,0.000006727503,0.0000015928373,0.0000018503404,0.0003686554,8.5932044e-7,0.000164769],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994695,0.0000038854982,0.0000070288274,0.000016406368,0.000007791676,0.000018014127],"domain_scores_gemma":[0.999778,0.000015202171,0.000083886145,0.000008942139,0.000060804974,0.000053163665],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011134253,0.00021603695,0.00016262147,0.00072074705,0.0005677057,0.0005324736,0.00017884113,0.0002086313,0.00069052173],"category_scores_gemma":[0.00019486311,0.00016298595,0.00016181312,0.001150352,0.0003524996,0.000228221,0.00035725764,0.00016769256,0.00009667744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050570907,0.000011557876,0.9948251,0.000032493725,0.00006577423,0.0001382204,0.00053966657,0.0001027495,0.0019500912,0.00003125234,0.00012321383,0.0021292062],"study_design_scores_gemma":[6.393267e-7,0.0000041676335,0.99954295,0.000004449406,0.0000075827675,0.000017926779,0.00021247576,0.00008494165,0.000037315007,0.000002248229,0.00008419603,0.0000011290939],"about_ca_topic_score_codex":0.22623277,"about_ca_topic_score_gemma":0.4106279,"teacher_disagreement_score":0.22623277,"about_ca_system_score_codex":0.0009890759,"about_ca_system_score_gemma":0.00068632804,"threshold_uncertainty_score":0.4498319},"labels":[],"label_agreement":null},{"id":"W2134788322","doi":"10.5194/bg-12-607-2015","title":"Origin and fate of particulate and dissolved organic matter in a naturally iron-fertilized region of the Southern Ocean","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Moncton","funders":"","keywords":"Bloom; Particulates; Iron fertilization; Phytoplankton; Dissolved organic carbon; Oceanography; Environmental chemistry; Organic matter; Nutrient; Algal bloom; Plankton; Environmental science; Biogenic silica; Total organic carbon; Chemistry; Geology; Ecology; Diatom; Biology","score_opus":0.0165986565963367,"score_gpt":0.19827232243796206,"score_spread":0.18167366584162536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134788322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998368,0.00003260293,0.00001676363,0.0000020984942,4.3650599e-7,9.430337e-7,0.000051398212,0.0000012997282,0.000057550205],"genre_scores_gemma":[0.99949014,0.000049806567,0.00012467202,0.0000058013293,0.0000010846732,0.00000303884,0.00018225035,0.0000011955428,0.00014199574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994326,0.000004570733,0.0000048083944,0.000022393644,0.000014205382,0.000010821241],"domain_scores_gemma":[0.9998385,0.0000148596955,0.000055187094,0.000007434416,0.000044535427,0.000039485338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013434351,0.00020366724,0.0001981449,0.00040001824,0.0003306608,0.00031307543,0.00016714039,0.0001583139,0.00024911802],"category_scores_gemma":[0.00017238621,0.00015890494,0.00012533966,0.00033448546,0.0002996292,0.00014025833,0.00028199403,0.00011662805,0.000066659224],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029531115,0.000028162845,0.7423469,0.00006415855,0.00003915565,0.00020953424,0.00031736246,0.00029837879,0.25323585,0.000022718245,0.000029659468,0.0031128437],"study_design_scores_gemma":[0.00000288381,0.000038971633,0.9978709,0.0000015673921,0.000004337799,0.00002106211,0.00009629368,0.00015241359,0.0017053494,0.0000053623594,0.00009965583,0.0000012181638],"about_ca_topic_score_codex":0.037382055,"about_ca_topic_score_gemma":0.048251502,"teacher_disagreement_score":0.037382055,"about_ca_system_score_codex":0.00080024643,"about_ca_system_score_gemma":0.0004687586,"threshold_uncertainty_score":0.07432896},"labels":[],"label_agreement":null},{"id":"W2135634701","doi":"10.5194/bg-10-6029-2013","title":"Biogeochemical origins of particles obtained from the inversion of the volume scattering function and spectral absorption in coastal waters","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; National Aeronautics and Space Administration; National Science Foundation","keywords":"Scattering; Attenuation coefficient; Spectral line; Absorption (acoustics); Water column; Absorption spectroscopy; Analytical Chemistry (journal); Materials science; Chemistry; Mineralogy; Optics; Geology; Physics; Oceanography; Chromatography","score_opus":0.00976836562550149,"score_gpt":0.1717927291094629,"score_spread":0.1620243634839614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135634701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971999,0.000035093613,0.0018495972,0.000011318157,0.000005243067,0.000008414527,0.00032183278,0.000048391048,0.0005202654],"genre_scores_gemma":[0.99541193,0.000034752014,0.0034976965,0.0000119493325,0.0000022333543,0.000010115555,0.00070555316,0.000028785822,0.00029699827],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998965,0.0000069384782,0.0000070884907,0.00004057391,0.000033865872,0.000015044537],"domain_scores_gemma":[0.9997892,0.000041059127,0.000038999508,0.00001537654,0.000098075616,0.000017334421],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032803527,0.0005025261,0.0002202205,0.0007732899,0.0003666238,0.0005029294,0.00030371928,0.00026416933,0.0005041826],"category_scores_gemma":[0.00047389066,0.0002694455,0.0003950408,0.0007033411,0.00028244118,0.00028474373,0.000331296,0.00034015748,0.00017790672],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055307517,0.000084526444,0.44501355,0.00009097755,0.00010409511,0.0003567249,0.00071969687,0.009754088,0.51766664,0.00048159744,0.00040122005,0.024773892],"study_design_scores_gemma":[0.00004175427,0.00013104183,0.85477203,0.000024786832,0.0000670409,0.00012990963,0.00041809658,0.052861307,0.08978194,0.0003216527,0.0014021359,0.000048325295],"about_ca_topic_score_codex":0.0405999,"about_ca_topic_score_gemma":0.0304477,"teacher_disagreement_score":0.0405999,"about_ca_system_score_codex":0.0008683417,"about_ca_system_score_gemma":0.0004593812,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2135877839","doi":"10.5194/bg-5-451-2008","title":"Quality control of CarboEurope flux data – Part 2: Inter-comparison of eddy-covariance software","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Eddy covariance; Software; Flux (metallurgy); Covariance; Range (aeronautics); Quality assurance; Computer science; Instrumentation (computer programming); Data processing; Data mining; Quality (philosophy); Environmental science; Remote sensing; Statistics; Mathematics; Physics; Engineering; Geology; Chemistry; Aerospace engineering; Database","score_opus":0.04581742636974615,"score_gpt":0.28052629258260675,"score_spread":0.2347088662128606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2135877839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5643923,0.0013505426,0.40603754,0.00030136376,0.00045789906,0.0021147942,0.009669901,0.0074000494,0.008275705],"genre_scores_gemma":[0.7610773,0.00027174994,0.21537572,0.00015817767,0.00006048896,0.0016540866,0.01571965,0.0033133004,0.0023695412],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.98231536,0.0053942776,0.0026652548,0.0023402371,0.0068418207,0.00044299115],"domain_scores_gemma":[0.93619806,0.018402029,0.004409336,0.012441808,0.028078064,0.00047063924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030134808,0.0008550737,0.0007050836,0.0025563987,0.0010693077,0.0023290408,0.001333965,0.00066922576,0.0017684234],"category_scores_gemma":[0.06921377,0.00044053717,0.0008529563,0.0028590437,0.00086870464,0.0013065235,0.0014124555,0.0005528961,0.00068953796],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0048229382,0.00066371117,0.21762684,0.0017108326,0.0016576883,0.00030449787,0.0031591754,0.016986052,0.1737454,0.0042388244,0.014104221,0.5609798],"study_design_scores_gemma":[0.00034644065,0.0005781463,0.71984947,0.00022238823,0.00036667896,0.0003644665,0.0005564448,0.040734187,0.20598051,0.0019577716,0.02885579,0.00018775214],"about_ca_topic_score_codex":0.007014366,"about_ca_topic_score_gemma":0.0065613957,"teacher_disagreement_score":0.030134808,"about_ca_system_score_codex":0.0010387686,"about_ca_system_score_gemma":0.0012438555,"threshold_uncertainty_score":0.15937},"labels":[],"label_agreement":null},{"id":"W2136046079","doi":"10.5194/bg-4-1041-2007","title":"Optical backscattering properties of the \"clearest\" natural waters","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Seawater; Ocean gyre; Backscatter (email); Scattering; Environmental science; Salinity; Oceanography; Geology; Atmospheric sciences; Mineralogy; Physics; Optics","score_opus":0.014461347501720092,"score_gpt":0.1860726903708802,"score_spread":0.1716113428691601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136046079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984124,0.000082395294,0.00021064708,0.000008247198,0.0000023435437,0.0000036273016,0.00053043326,0.000010013954,0.0007398679],"genre_scores_gemma":[0.9972677,0.00010085919,0.00076287147,0.00002777151,0.0000044810045,0.000010383968,0.0013170204,0.0000095301375,0.0004994133],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989176,0.000012653363,0.000009095918,0.000033161345,0.000039488496,0.000013867239],"domain_scores_gemma":[0.9997961,0.000022782282,0.000045918845,0.000012606192,0.00009412739,0.000028547327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016131492,0.00023477066,0.00021374892,0.00045595109,0.0004022248,0.00035345982,0.00011939347,0.00013051293,0.0006643644],"category_scores_gemma":[0.0002452039,0.00013142609,0.00013249488,0.00044690032,0.0002318307,0.00026284033,0.00032126682,0.0001712089,0.00019103417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004160229,0.000049707367,0.763363,0.00009433412,0.00010438053,0.00012660919,0.00058385177,0.0006769799,0.21821775,0.000112325055,0.0006437607,0.0156112965],"study_design_scores_gemma":[0.0000060750153,0.000055775,0.9900665,0.0000033639385,0.000022120184,0.00005285321,0.00016162457,0.00042538324,0.0083464505,0.000015233953,0.0008388856,0.000005788683],"about_ca_topic_score_codex":0.028156463,"about_ca_topic_score_gemma":0.06721929,"teacher_disagreement_score":0.028156463,"about_ca_system_score_codex":0.00034348023,"about_ca_system_score_gemma":0.0003452392,"threshold_uncertainty_score":0.055985153},"labels":[],"label_agreement":null},{"id":"W2137299316","doi":"10.5194/bg-7-4051-2010","title":"Rapid accretion of dissolved organic carbon in the springs of Florida: the most organic-poor natural waters","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dissolved organic carbon; Macrophyte; Spring (device); Environmental science; Hydrology (agriculture); Total organic carbon; Environmental chemistry; Groundwater; Chemistry; Oceanography; Geology","score_opus":0.006993992776159343,"score_gpt":0.18025027542848898,"score_spread":0.17325628265232965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137299316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995351,0.000042771168,0.000045838344,0.00001414919,6.930849e-7,0.0000023546565,0.00012689234,0.000002728294,0.000229517],"genre_scores_gemma":[0.99947983,0.000042708605,0.00017558853,0.000012202925,0.0000015327245,0.000003303932,0.00014921302,8.3018193e-7,0.00013476521],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999471,0.00000419356,0.0000025188792,0.000015931713,0.000016043075,0.0000141720675],"domain_scores_gemma":[0.9998468,0.000016400048,0.000045405744,0.000002840889,0.00005182345,0.0000366236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009347944,0.00016050097,0.00013122536,0.00048999954,0.0006422389,0.00046609234,0.0001239317,0.00020994974,0.00040155087],"category_scores_gemma":[0.00021172564,0.00010208226,0.0000967681,0.0003710192,0.00020241544,0.0002854295,0.00029302845,0.00013729335,0.000054538075],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038487426,0.000071741684,0.7829995,0.000108896405,0.00006397996,0.0003177232,0.0008866832,0.00054045656,0.19509389,0.00012163492,0.00032331658,0.019087289],"study_design_scores_gemma":[0.0000033520962,0.000069629925,0.99556386,0.0000038971425,0.00000957926,0.00005511022,0.00023699325,0.00032613153,0.0031894152,0.000029918594,0.000507357,0.0000047863587],"about_ca_topic_score_codex":0.03255366,"about_ca_topic_score_gemma":0.08424869,"teacher_disagreement_score":0.03255366,"about_ca_system_score_codex":0.00078644155,"about_ca_system_score_gemma":0.0004112508,"threshold_uncertainty_score":0.06472838},"labels":[],"label_agreement":null},{"id":"W2137562159","doi":"10.5194/bg-13-175-2016","title":"Co-occurrence patterns in aquatic bacterial communities across changing permafrost landscapes","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; ArcticNet; Compute Canada","keywords":"Ecology; Permafrost; Bacterioplankton; Abiotic component; Community structure; Taxon; Biomass (ecology); Phylum; Habitat; Biogeochemical cycle; Biology; Microbial ecology; Environmental science; Phytoplankton; Nutrient","score_opus":0.021173035729340185,"score_gpt":0.26757216037398024,"score_spread":0.24639912464464006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137562159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997274,0.000031117597,0.000068598674,0.0000045853526,2.8874135e-7,0.000001491868,0.000065032465,0.0000014003381,0.00010015097],"genre_scores_gemma":[0.9996486,0.00001730455,0.0001458672,0.0000040639793,9.363846e-7,0.0000036074186,0.00013393226,7.234322e-7,0.00004497564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997342,0.000060938386,0.000014346166,0.000093035385,0.00004333749,0.00005405678],"domain_scores_gemma":[0.99936277,0.00015120939,0.00025964985,0.000029952069,0.00009956155,0.000096939904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031056817,0.00014901173,0.00023760628,0.001690145,0.0005216982,0.0005965067,0.00022049638,0.00028845322,0.00061889744],"category_scores_gemma":[0.0007292962,0.00012726213,0.00017950572,0.0012442251,0.00042331236,0.00040427526,0.00053733296,0.00016854538,0.00006468183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010470334,0.000025107312,0.9838991,0.00003549763,0.00006677423,0.00010287785,0.0007690949,0.0003271201,0.008997948,0.00005957254,0.000057580273,0.005554649],"study_design_scores_gemma":[0.0000012909023,0.000021316646,0.9987698,0.0000029553194,0.0000061232777,0.000047819503,0.0003393722,0.0005673304,0.0001424595,0.000035952824,0.00006360529,0.000002024827],"about_ca_topic_score_codex":0.004145606,"about_ca_topic_score_gemma":0.009804103,"teacher_disagreement_score":0.004145606,"about_ca_system_score_codex":0.0003362529,"about_ca_system_score_gemma":0.00017818209,"threshold_uncertainty_score":0.008242905},"labels":[],"label_agreement":null},{"id":"W2138016399","doi":"10.5194/bg-11-3245-2014","title":"An inverse modeling approach for tree-ring-based climate reconstructions under changing atmospheric CO <sub>2</sub> concentrations","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Agence Nationale de la Recherche; Fonds de recherche du Québec – Nature et technologies; Labex OT-Med","keywords":"Inversion (geology); Environmental science; Climate change; Inverse; Dendrochronology; Climatology; Tree (set theory); Climate sensitivity; Atmospheric sciences; Mathematics; Climate model; Ecology; Geology; Biology","score_opus":0.02931196916311143,"score_gpt":0.24189444268224652,"score_spread":0.2125824735191351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138016399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3264032,0.00013020814,0.66755766,0.00041617217,0.00004233476,0.000055950622,0.00021585343,0.0011760122,0.004002676],"genre_scores_gemma":[0.8204334,0.00008645591,0.17702556,0.00006847912,0.000017882205,0.00009207732,0.00020108813,0.0001521429,0.0019229492],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999398,0.000021567295,0.0000027649241,0.000013982232,0.00001423381,0.000007767107],"domain_scores_gemma":[0.99983144,0.000089308945,0.0000208236,0.000011068278,0.00003526433,0.0000120619625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003755315,0.00039861278,0.0003304172,0.00034037774,0.0002953691,0.00054356916,0.0007485799,0.00078690704,0.0012364861],"category_scores_gemma":[0.00078161183,0.00031527545,0.00059818197,0.00029221355,0.00033737504,0.00033706077,0.00036793418,0.0006164238,0.00019237949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015357162,0.000013958419,0.00059722847,0.0000083877,0.000014499269,0.000019606101,0.000018330611,0.9927428,0.0018540003,0.0007444053,0.00005832733,0.003913084],"study_design_scores_gemma":[0.0000013898294,0.0000020197922,0.000045776582,4.6016794e-7,0.0000013478425,0.0000016580864,0.0000014414444,0.9995982,0.00017492754,0.00012411378,0.00004761228,0.0000010595977],"about_ca_topic_score_codex":0.014835599,"about_ca_topic_score_gemma":0.012131713,"teacher_disagreement_score":0.014835599,"about_ca_system_score_codex":0.0005842834,"about_ca_system_score_gemma":0.0009374713,"threshold_uncertainty_score":0.029498458},"labels":[],"label_agreement":null},{"id":"W2138565279","doi":"10.5194/bg-8-1453-2011","title":"Thermal adaptation of net ecosystem exchange","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Universiteit Antwerpen; U.S. Department of Energy; Fundamental Research Funds for the Central Universities; Office of Science; National Science Foundation","keywords":"Ecosystem respiration; Ecosystem; Primary production; Eddy covariance; Environmental science; Shrubland; Atmospheric sciences; Carbon sink; Mean radiant temperature; Grassland; Ecology; Climate change; Biology; Physics","score_opus":0.025028365031188327,"score_gpt":0.19319263447400745,"score_spread":0.16816426944281912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138565279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971294,0.000132141,0.0015718553,0.000014822231,0.0000030363585,0.000004768979,0.00016085093,0.000021405269,0.00096161076],"genre_scores_gemma":[0.99961936,0.000018914368,0.00016814406,0.0000046844034,9.1330156e-7,0.0000031785587,0.00007745245,0.0000024911442,0.00010477637],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998863,0.000030167479,0.000005751346,0.00004132302,0.00001821805,0.000018311744],"domain_scores_gemma":[0.9997054,0.0000951161,0.000058292768,0.000048369977,0.00006228759,0.000030485273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023532353,0.00017832231,0.00016120574,0.0001981789,0.00009244661,0.00025386625,0.00010455525,0.0001476411,0.00080541946],"category_scores_gemma":[0.0008314271,0.000111723275,0.00014934543,0.0001393509,0.00016605304,0.00023231373,0.00023353429,0.00017636434,0.00012759239],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00088151667,0.00010481051,0.45900092,0.00012941037,0.00025446218,0.0001247165,0.0003283986,0.024329253,0.483516,0.00078387867,0.00046744416,0.030079091],"study_design_scores_gemma":[0.0000042288307,0.00007451592,0.9820067,0.000003297949,0.0000126935665,0.00010591716,0.000053148542,0.008537995,0.008597031,0.0002625438,0.00033297105,0.000008967927],"about_ca_topic_score_codex":0.0014592995,"about_ca_topic_score_gemma":0.0014968556,"teacher_disagreement_score":0.0014592995,"about_ca_system_score_codex":0.00024569815,"about_ca_system_score_gemma":0.00007944177,"threshold_uncertainty_score":0.0029016137},"labels":[],"label_agreement":null},{"id":"W2138876703","doi":"10.5194/bg-11-577-2014","title":"Modelling effects of seasonal variation in water table depth on net ecosystem CO <sub>2</sub> exchange of a tropical peatland","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Science and Technology Research Partnership for Sustainable Development; Faculty of Graduate Studies and Research, University of Alberta; Natural Sciences and Engineering Research Council of Canada; Japan International Cooperation Agency; University of Alberta; Compute Canada","keywords":"Peat; Environmental science; Hydrology (agriculture); Eddy covariance; Ecosystem; Sink (geography); Primary production; Dry season; Water table; Wet season; Ecology; Atmospheric sciences; Groundwater; Geography; Biology; Geology","score_opus":0.008729477632426829,"score_gpt":0.2011663681450089,"score_spread":0.1924368905125821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138876703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846625,0.000008213043,0.0010682408,0.00001580948,0.0000020175896,0.00000408249,0.00009578685,0.000021778336,0.00031783278],"genre_scores_gemma":[0.9992884,0.0000074225914,0.00054785254,0.0000033696942,4.6066455e-7,0.000003682181,0.000041348674,0.0000031109498,0.00010440479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995327,0.000010742831,0.0000038057651,0.000015434369,0.0000064320084,0.000010267347],"domain_scores_gemma":[0.99970406,0.00018049825,0.000047177244,0.000019328978,0.000022526878,0.000026354102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022622118,0.00026207586,0.00016989282,0.00014273191,0.00018327517,0.00046085537,0.0003455443,0.00033930276,0.0007119241],"category_scores_gemma":[0.00052480213,0.00020842392,0.00040280286,0.00015956786,0.0002219192,0.00031229472,0.00019219195,0.00027304268,0.000059683767],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015901423,0.00011255449,0.057077594,0.00003961825,0.000061211045,0.0001335974,0.000040144405,0.9283875,0.010882119,0.00032434342,0.000093254996,0.0026889616],"study_design_scores_gemma":[0.0000069851826,0.000047864338,0.016855447,0.0000017190184,0.000014202422,0.0000163883,0.00001891807,0.9809052,0.0019958261,0.000074051204,0.000057854686,0.0000055554933],"about_ca_topic_score_codex":0.031631354,"about_ca_topic_score_gemma":0.023009712,"teacher_disagreement_score":0.031631354,"about_ca_system_score_codex":0.00066848187,"about_ca_system_score_gemma":0.00056025694,"threshold_uncertainty_score":0.06289446},"labels":[],"label_agreement":null},{"id":"W2139450791","doi":"10.5194/bg-9-457-2012","title":"North American CO <sub>2</sub> exchange: inter-comparison of modeled estimates with results from a fine-scale atmospheric inversion","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":129,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Oak Ridge National Laboratory; Biological and Environmental Research; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Inversion (geology); Environmental science; Atmospheric sciences; Spatial variability; Climatology; Geology; Mathematics; Statistics; Structural basin","score_opus":0.011039862553520753,"score_gpt":0.2232631626589641,"score_spread":0.21222330010544335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139450791","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99329716,0.000046169076,0.0031921002,0.000063204665,0.000008090112,0.000009300524,0.00090479845,0.0002650854,0.0022141957],"genre_scores_gemma":[0.99647444,0.000020257521,0.0023699487,0.000012224221,0.0000024804547,0.000008716416,0.00091661944,0.000026410184,0.00016889602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998802,0.00002820431,0.000005385639,0.00004700792,0.000023177696,0.000016064661],"domain_scores_gemma":[0.99973005,0.00006310957,0.00003173911,0.00004989293,0.00011292999,0.000012217976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005296233,0.00035482482,0.00025163888,0.00033305932,0.000257565,0.00043958935,0.00034594908,0.00027047918,0.00046903954],"category_scores_gemma":[0.000704865,0.00019882848,0.00042291105,0.00051979563,0.00015900255,0.00047099858,0.0001653531,0.0003314808,0.00013164095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047432425,0.00027068405,0.37051183,0.00006737692,0.00055152754,0.0001540966,0.00025150325,0.5584503,0.022602947,0.0009779091,0.0025249845,0.043162595],"study_design_scores_gemma":[0.00007448011,0.00006489453,0.33195946,0.000011878976,0.00010952367,0.00004945954,0.00014285507,0.6546624,0.01028775,0.0004545067,0.002131041,0.00005178251],"about_ca_topic_score_codex":0.081226915,"about_ca_topic_score_gemma":0.09303273,"teacher_disagreement_score":0.081226915,"about_ca_system_score_codex":0.00086909457,"about_ca_system_score_gemma":0.0007131854,"threshold_uncertainty_score":0.16150826},"labels":[],"label_agreement":null},{"id":"W2139843774","doi":"10.5194/bg-10-7983-2013","title":"Differential response of planktonic primary, bacterial, and dimethylsulfide production rates to static vs. dynamic light exposure in upper mixed-layer summer sea waters","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université Laval","funders":"Ministerio de Ciencia e Innovación; Generalitat de Catalunya","keywords":"Biogeochemical cycle; Plankton; Photoinhibition; Environmental science; Bacterioplankton; Phytoplankton; Irradiance; Mixed layer; Oceanography; Atmospheric sciences; Environmental chemistry; Chemistry; Ecology; Nutrient; Photosynthesis; Biology; Geology; Physics","score_opus":0.00908975470740882,"score_gpt":0.20761017390805375,"score_spread":0.19852041920064492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139843774","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996075,0.00007238518,0.00010073339,0.0000050504013,0.0000029820794,0.0000042172665,0.00008365504,0.0000039269075,0.000119619996],"genre_scores_gemma":[0.9990669,0.00006263607,0.00032573464,0.000025010657,0.0000042906936,0.000016212052,0.00019713497,0.0000031151521,0.00029900952],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989986,0.000011328613,0.0000070844526,0.00004154954,0.000020720032,0.00001951742],"domain_scores_gemma":[0.99984336,0.000026726904,0.000040032362,0.000012452906,0.000030227955,0.00004712963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011700689,0.000361764,0.00031188675,0.00018811463,0.00018321366,0.00034018068,0.00015775439,0.00027764766,0.00052943226],"category_scores_gemma":[0.00018970476,0.00017795322,0.00023800578,0.00013991116,0.00023110927,0.00020550282,0.00027909144,0.0003031852,0.00008745862],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059784186,0.000037279624,0.026977174,0.000053233256,0.000025357067,0.000025338091,0.00011375656,0.00009909334,0.9696232,0.0000128250795,0.000026580165,0.0024083196],"study_design_scores_gemma":[0.000023866567,0.0016907653,0.7862157,0.0000070167107,0.00005323038,0.00006806913,0.00034197044,0.001037961,0.2099998,0.000043564032,0.000502863,0.000015225489],"about_ca_topic_score_codex":0.0022276582,"about_ca_topic_score_gemma":0.0020260292,"teacher_disagreement_score":0.0022276582,"about_ca_system_score_codex":0.0002914156,"about_ca_system_score_gemma":0.00016350772,"threshold_uncertainty_score":0.0044294},"labels":[],"label_agreement":null},{"id":"W2140146269","doi":"10.5194/bg-13-4111-2016","title":"Role of zooplankton dynamics for Southern Ocean phytoplankton biomass andglobal biogeochemical cycles","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"University of East Anglia; Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Biogeochemical cycle; Phytoplankton; Zooplankton; Oceanography; Environmental science; Biomass (ecology); Biological oceanography; Ecology; Nutrient; Geology; Biology","score_opus":0.008212158436175601,"score_gpt":0.19915607402161523,"score_spread":0.19094391558543963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140146269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922299,0.00022739367,0.004265842,0.00032371288,0.000016748667,0.000006130478,0.00019030609,0.00005460051,0.002685223],"genre_scores_gemma":[0.99886876,0.00009511937,0.00052368426,0.000024258712,0.0000032117887,0.0000036004785,0.000052034105,0.0000090563335,0.00042020463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99994254,0.000023924576,0.0000031035243,0.000012642619,0.0000082476445,0.000009547683],"domain_scores_gemma":[0.9998097,0.000068607136,0.00003951034,0.000013510035,0.000021496955,0.000047313937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002234398,0.00047666556,0.00019539149,0.00021017827,0.00032917873,0.0008184852,0.00030371404,0.00041945314,0.0016516548],"category_scores_gemma":[0.0008641931,0.00020968086,0.0003762243,0.00016022283,0.0003888484,0.00082008407,0.0005195319,0.00025815848,0.000120658035],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018218537,0.000075158205,0.20045811,0.0000900404,0.00016971894,0.00025182927,0.00013583746,0.7615026,0.018128928,0.010407249,0.00085517904,0.007743163],"study_design_scores_gemma":[0.000038848942,0.000051059447,0.046356943,0.000020576908,0.000045449695,0.00003205458,0.00008924548,0.9475061,0.0011583169,0.0039523677,0.00073175493,0.000017299291],"about_ca_topic_score_codex":0.02065498,"about_ca_topic_score_gemma":0.02153263,"teacher_disagreement_score":0.02065498,"about_ca_system_score_codex":0.0011861969,"about_ca_system_score_gemma":0.0008422077,"threshold_uncertainty_score":0.041069508},"labels":[],"label_agreement":null},{"id":"W2141368056","doi":"10.5194/bg-5-949-2008","title":"Distribution of lipid biomarkers and carbon isotope fractionation in contrasting trophic environments of the South East Pacific","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; International Atomic Energy Agency; Centre National d’Etudes Spatiales; National Aeronautics and Space Administration; European Space Agency; Gobierno del Principado de Asturias","keywords":"Phytoplankton; Dinoflagellate; Haptophyte; Trophic level; Oceanography; Diatom; Isotopes of carbon; Upwelling; Alkenone; Water column; Environmental chemistry; Ecology; Environmental science; Biology; Chemistry; Geology; Nutrient; Total organic carbon; Sea surface temperature","score_opus":0.011851957813644775,"score_gpt":0.16946227082739257,"score_spread":0.15761031301374778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141368056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965286,0.000043379907,0.000028246666,0.0000039290717,4.4757098e-7,0.0000013273301,0.00007978261,8.4124935e-7,0.00018911494],"genre_scores_gemma":[0.9992186,0.00010226449,0.00013219603,0.000009324719,0.0000012619514,0.0000049220553,0.00029022078,0.0000012711993,0.00023992345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993205,0.0000062316244,0.0000060818725,0.000021648853,0.000021600043,0.00001243985],"domain_scores_gemma":[0.9998061,0.000020718404,0.000061421095,0.0000074825357,0.00006945382,0.000034850276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001276726,0.00024151425,0.00016021504,0.0008827854,0.0005634167,0.0004667742,0.00012818578,0.00016952468,0.00056169793],"category_scores_gemma":[0.0002221095,0.00019384352,0.000130656,0.0007732791,0.00036862513,0.00023768966,0.00046646438,0.00016400614,0.00009603398],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008841089,0.0000108461345,0.9697842,0.000027404538,0.000046449655,0.00015806164,0.0009597603,0.000050416344,0.025914622,0.000027136537,0.000027681046,0.0029051045],"study_design_scores_gemma":[7.672175e-7,0.000009723649,0.9990005,0.0000023056825,0.000007450136,0.00004145872,0.00039682706,0.000038952916,0.00040292594,0.000005378366,0.00009252362,0.0000013053509],"about_ca_topic_score_codex":0.034652486,"about_ca_topic_score_gemma":0.06352787,"teacher_disagreement_score":0.034652486,"about_ca_system_score_codex":0.00035716075,"about_ca_system_score_gemma":0.00032372988,"threshold_uncertainty_score":0.06890154},"labels":[],"label_agreement":null},{"id":"W2141597462","doi":"10.5194/bg-5-679-2008","title":"Introduction to the special section bio-optical and biogeochemical conditions in the South East Pacific in late 2004: the BIOSOPE program","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; National Aeronautics and Space Administration","keywords":"Oceanography; Upwelling; Biogeochemical cycle; Biogeochemistry; Transect; Cruise; Ocean gyre; Geography; Environmental science; Geology; Subtropics; Ecology","score_opus":0.013307315920114632,"score_gpt":0.20268731019208477,"score_spread":0.18937999427197014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141597462","genre_codex":"other","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10409553,0.09815607,0.029433308,0.117218055,0.13949347,0.0032758825,0.056434512,0.0031676088,0.44872558],"genre_scores_gemma":[0.09431482,0.063074484,0.018255347,0.01058368,0.037650134,0.0013726315,0.040476263,0.0012889147,0.73298365],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998627,0.000014427453,0.000012299685,0.00003395728,0.000052184827,0.000024488247],"domain_scores_gemma":[0.9988471,0.00011798422,0.000099701865,0.00006103837,0.00047961573,0.00039452905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008155727,0.00047194166,0.000242951,0.0014324548,0.00051738165,0.001005777,0.0005393753,0.000380697,0.0263906],"category_scores_gemma":[0.00082204636,0.00015961503,0.0002452986,0.0012870946,0.00024921115,0.0006901987,0.00087626884,0.000859228,0.004631072],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010137031,0.00016123746,0.011187083,0.0004922136,0.00001581833,0.00018994883,0.00028249683,0.00048293156,0.002729507,0.0013258347,0.684834,0.29819763],"study_design_scores_gemma":[0.000007114854,0.00006036528,0.032934897,0.000103883314,0.0000058437067,0.00008481273,0.00015075317,0.00010777953,0.00044882623,0.0003675303,0.96572256,0.0000057631028],"about_ca_topic_score_codex":0.010842019,"about_ca_topic_score_gemma":0.02128249,"teacher_disagreement_score":0.0263906,"about_ca_system_score_codex":0.0009425979,"about_ca_system_score_gemma":0.0021116734,"threshold_uncertainty_score":0.08828539},"labels":[],"label_agreement":null},{"id":"W2141754303","doi":"10.5194/bg-4-481-2007","title":"Assessing the potential long-term increase of oceanic fossil fuel CO <sub>2</sub> uptake due to CO <sub>2</sub> -calcification feedback","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":120,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Research Chairs; Japan Agency for Marine-Earth Science and Technology; Natural Environment Research Council; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Emiliania huxleyi; Ocean acidification; Environmental science; Carbonate; Coccolithophore; Phytoplankton; Oceanography; Plankton; Ocean current; Atmospheric sciences; Chemistry; Environmental chemistry; Ecology; Seawater; Geology; Biology; Nutrient","score_opus":0.019630882520480075,"score_gpt":0.2692902617792247,"score_spread":0.24965937925874465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141754303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712604,0.00002585165,0.0022766602,0.00004088997,0.0000056985637,0.0000053431804,0.0001646829,0.000022131244,0.00033266703],"genre_scores_gemma":[0.9994228,0.000011613472,0.0004151168,0.000011588105,0.0000015241045,0.000005184666,0.00009297892,0.000003248779,0.000035897436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998907,0.00003695536,0.000006622459,0.000031064024,0.000019729572,0.000014844976],"domain_scores_gemma":[0.999183,0.0005572909,0.000087244734,0.00007292192,0.000052527346,0.000047044632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059172866,0.00033951455,0.00025307937,0.00011599674,0.00023301585,0.00042058466,0.0003628496,0.0005014225,0.0007814186],"category_scores_gemma":[0.0016967778,0.00023566977,0.0004494688,0.0001313652,0.00026599586,0.00049352075,0.00039820984,0.0005619143,0.00006854035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010591934,0.00027322452,0.2325192,0.000090251415,0.00050279713,0.0001364903,0.00004604034,0.6868148,0.06883171,0.0012196073,0.0002626635,0.008244115],"study_design_scores_gemma":[0.000070836686,0.00051491655,0.09901455,0.0000038405387,0.00017748203,0.000044549608,0.00004695335,0.8641235,0.034042217,0.0016571275,0.00027330726,0.000030662064],"about_ca_topic_score_codex":0.006146746,"about_ca_topic_score_gemma":0.005308785,"teacher_disagreement_score":0.006146746,"about_ca_system_score_codex":0.0006878328,"about_ca_system_score_gemma":0.00031742497,"threshold_uncertainty_score":0.012221932},"labels":[],"label_agreement":null},{"id":"W2141830993","doi":"10.5194/bg-6-1603-2009","title":"Impact of atmospheric and terrestrial CO <sub>2</sub> feedbacks on fertilization-induced marine carbon uptake","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; University of Victoria","keywords":"Biogeochemical cycle; Phytoplankton; Atmosphere (unit); Carbon cycle; Environmental science; Biosphere; Biological pump; Carbon fibers; Atmospheric carbon cycle; Iron fertilization; Carbon dioxide in Earth's atmosphere; Oceanography; Atmospheric sciences; Ecosystem; Geology; Chemistry; Climate change; Environmental chemistry; Nutrient; Ecology; Meteorology; Biology; Geography","score_opus":0.014006564480375641,"score_gpt":0.22799280406423503,"score_spread":0.21398623958385937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141830993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963343,0.00012033612,0.0010601325,0.000112817324,0.000023943006,0.0000067294413,0.00035436056,0.000093372975,0.0018938915],"genre_scores_gemma":[0.99960333,0.000034847,0.0001378052,0.000017408423,0.0000015583344,0.0000036056424,0.00009303439,0.00001082652,0.00009754756],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998821,0.0000347038,0.0000078319945,0.000025013764,0.000023080005,0.000027212533],"domain_scores_gemma":[0.9994246,0.00040252073,0.000044662294,0.000029995943,0.0000535809,0.000044642326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033310187,0.00042932676,0.00027257245,0.00017742053,0.00033388173,0.0005982789,0.00037007654,0.000509347,0.0022028564],"category_scores_gemma":[0.001402622,0.00025276182,0.00046458887,0.00021797547,0.0004180221,0.00041335236,0.00046210247,0.00042851106,0.00013070721],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013366463,0.00015322876,0.07677921,0.00025106742,0.00028583306,0.0005905059,0.00006101998,0.763327,0.1464199,0.0017504524,0.000694961,0.008350165],"study_design_scores_gemma":[0.00017117462,0.0004720571,0.12759705,0.000023261802,0.00017960207,0.00015140635,0.00011945515,0.7922523,0.07634866,0.001103808,0.0015098797,0.000071417126],"about_ca_topic_score_codex":0.011879248,"about_ca_topic_score_gemma":0.0064369864,"teacher_disagreement_score":0.011879248,"about_ca_system_score_codex":0.0010565615,"about_ca_system_score_gemma":0.000562378,"threshold_uncertainty_score":0.023620188},"labels":[],"label_agreement":null},{"id":"W2141989593","doi":"10.5194/bg-10-8203-2013","title":"Simulated impacts of mountain pine beetle and wildfire disturbances on forest vegetation composition and carbon stocks in the Southern Rocky Mountains","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Geological Survey","keywords":"Mountain pine beetle; Disturbance (geology); Environmental science; Basal area; Ecology; Biomass (ecology); Dendroctonus; Climate change; Vegetation (pathology); Ecological succession; Pinus contorta; Bark beetle; Snag; Ecosystem; Habitat; Biology; Curculionidae","score_opus":0.005400212275007043,"score_gpt":0.20770446991037408,"score_spread":0.20230425763536705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141989593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906033,0.000013874353,0.00020009607,0.000014982336,0.0000023638831,0.0000073400256,0.0002518905,0.000017420352,0.00043177593],"genre_scores_gemma":[0.9992908,0.000008660515,0.00028250023,0.0000072098655,8.4683415e-7,0.000012980407,0.00026324939,0.000002668844,0.00013103921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986947,0.00004706223,0.0000064537912,0.000026569629,0.0000140340035,0.000036340592],"domain_scores_gemma":[0.99951065,0.00021407325,0.00006410216,0.000031525164,0.000083032006,0.00009658307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041391543,0.0004334127,0.00036749567,0.0003061371,0.0004757849,0.0005097251,0.0007453681,0.00067474524,0.0011222434],"category_scores_gemma":[0.00068946765,0.0003139111,0.0005078708,0.0003543816,0.00037926232,0.00028416797,0.0002950747,0.00039802675,0.00008698453],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002943608,0.00016960931,0.06090459,0.00001899921,0.000095566415,0.00014178794,0.000058969534,0.9353952,0.0011515231,0.00019364891,0.00027508524,0.0013007348],"study_design_scores_gemma":[0.000135471,0.0002680886,0.034910977,0.000008332219,0.000052390904,0.00003119692,0.00020026701,0.9631239,0.00077307393,0.00018395786,0.0002936864,0.00001859676],"about_ca_topic_score_codex":0.08972617,"about_ca_topic_score_gemma":0.08526178,"teacher_disagreement_score":0.91027385,"about_ca_system_score_codex":0.0014492307,"about_ca_system_score_gemma":0.00080817717,"threshold_uncertainty_score":0.17840785},"labels":[],"label_agreement":null},{"id":"W2143024522","doi":"10.5194/bg-11-3871-2014","title":"Global cropland monthly gross primary production in the year 2000","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Nanjing University; Natural Resources Canada; China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; European Commission; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; National Natural Science Foundation of China; Microsoft Research; Université Laval; National Science Foundation","keywords":"Primary production; Environmental science; Land cover; Satellite; Flux (metallurgy); Atmospheric sciences; Ecosystem; Geography; Land use; Climatology; Ecology; Geology; Biology; Chemistry","score_opus":0.005125137769638209,"score_gpt":0.19008467844103688,"score_spread":0.18495954067139866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143024522","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4722224,0.0037835278,0.0022207175,0.00048131615,0.00020524063,0.000063881715,0.5032127,0.00060425006,0.017206047],"genre_scores_gemma":[0.67658705,0.0028897345,0.0022895418,0.00022373526,0.00007728471,0.00012674661,0.31201562,0.000057332814,0.0057330574],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990857,0.000011899889,0.0000085644515,0.000031185125,0.000026665683,0.000013066778],"domain_scores_gemma":[0.9997124,0.00002420829,0.00010900627,0.000017912917,0.000107726446,0.00002861264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024458655,0.00079129694,0.00019082881,0.0012848245,0.000099825644,0.0004256311,0.0002192436,0.00015804799,0.001999986],"category_scores_gemma":[0.00043744658,0.00012335069,0.00020553537,0.0020069077,0.000109687404,0.00037918135,0.0002320638,0.00024800535,0.0014122194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067457417,0.00010703006,0.73523664,0.0014721926,0.00084606843,0.0005258762,0.00036996623,0.013658129,0.008961808,0.0028245763,0.14313295,0.092190266],"study_design_scores_gemma":[0.000030191855,0.000072992945,0.93315715,0.000058377536,0.00008002369,0.0002369272,0.000088564135,0.002316267,0.0013196899,0.0003627848,0.062262576,0.000014419364],"about_ca_topic_score_codex":0.015793638,"about_ca_topic_score_gemma":0.015615718,"teacher_disagreement_score":0.015793638,"about_ca_system_score_codex":0.0006791642,"about_ca_system_score_gemma":0.0003293806,"threshold_uncertainty_score":0.031403422},"labels":[],"label_agreement":null},{"id":"W2143915124","doi":"10.5194/bg-11-3515-2014","title":"Quantifying the biophysical climate change mitigation potential of Canada's forest sector","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"U.S. Forest Service; Canadian Forest Service; Government of Canada; Australian Government; Strong","keywords":"Greenhouse gas; Bioenergy; Environmental science; Carbon sequestration; Forest management; Climate change mitigation; Climate change; Forest product; Agroforestry; Natural resource economics; Renewable energy; Ecology; Carbon dioxide; Economics","score_opus":0.021676179787535492,"score_gpt":0.23235918829490665,"score_spread":0.21068300850737115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143915124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9699609,0.0008332334,0.0026904803,0.00091499655,0.000019947667,0.00007653369,0.007875688,0.00009801578,0.01753021],"genre_scores_gemma":[0.994879,0.00032243758,0.001970905,0.000071109665,0.000002567761,0.000016543545,0.0015442622,0.000009238472,0.0011839003],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999537,0.00005897205,0.000010039384,0.000052713796,0.00015823983,0.00018308534],"domain_scores_gemma":[0.9995222,0.000056157576,0.00003869527,0.000021060137,0.00029946349,0.00006238978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005227709,0.0005190394,0.00023167537,0.00087722,0.0011873591,0.0013864633,0.0007125234,0.0004455434,0.0012976378],"category_scores_gemma":[0.000919456,0.00017488335,0.0005901468,0.001771931,0.00042228663,0.00053239596,0.00037460096,0.00045859348,0.00010877154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002909796,0.0001313652,0.18309733,0.00021926685,0.00040629334,0.00023512369,0.00016274572,0.76412165,0.0057164766,0.009100661,0.0059588044,0.03055925],"study_design_scores_gemma":[0.00008726191,0.00011627693,0.2587975,0.00013471495,0.00032278165,0.00006649897,0.0013574092,0.7081096,0.005750519,0.0035555915,0.021579465,0.00012240275],"about_ca_topic_score_codex":0.98794985,"about_ca_topic_score_gemma":0.9890091,"teacher_disagreement_score":0.036683574,"about_ca_system_score_codex":0.036683574,"about_ca_system_score_gemma":0.028251369,"threshold_uncertainty_score":0.26615918},"labels":[],"label_agreement":null},{"id":"W2145027955","doi":"10.5194/bg-13-1453-2016","title":"Nitrogen cycling in shallow low-oxygen coastal waters off Peru from nitrite and nitrate nitrogen and oxygen isotopes","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Upwelling; Isotopes of nitrogen; Nitrate; Environmental chemistry; δ18O; Isotope fractionation; Stable isotope ratio; Nitrogen; Isotopes of oxygen; Equilibrium fractionation; Cycling; Dominance (genetics); Isotopic signature; Seawater; Anoxic waters; Fractionation; Oceanography; Isotope; Chemistry; Geology","score_opus":0.01042070932698896,"score_gpt":0.19113465694512718,"score_spread":0.18071394761813822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145027955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993042,0.000068950096,0.000065463675,0.000011171204,9.891406e-7,0.0000041753897,0.00010059005,0.0000028052027,0.00044175852],"genre_scores_gemma":[0.9988875,0.00012060042,0.00023092267,0.000025270956,0.0000023539658,0.000023156737,0.00039072844,0.0000027727028,0.00031656594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995935,0.000006475235,0.0000036997412,0.000011827739,0.000009660851,0.000009044045],"domain_scores_gemma":[0.9998578,0.000025201596,0.000039234452,0.0000057238403,0.000051836814,0.000020200941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012070338,0.0003142324,0.00020708743,0.0005759076,0.00057097623,0.00043861865,0.00030727134,0.00040640045,0.000745707],"category_scores_gemma":[0.00027637757,0.00021097135,0.00022228004,0.0005121417,0.0003432658,0.00025984508,0.0005917591,0.00022057627,0.00015099556],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026159067,0.00005577639,0.7374896,0.00012592513,0.00008871895,0.00038422048,0.001377673,0.00033082065,0.25422227,0.000044807504,0.000058568665,0.0055601033],"study_design_scores_gemma":[0.0000073946467,0.00009518927,0.9956458,0.000008948684,0.000024751596,0.00008618353,0.0005972333,0.00043773054,0.0027101776,0.000024700168,0.0003552568,0.0000065252425],"about_ca_topic_score_codex":0.022878313,"about_ca_topic_score_gemma":0.041479044,"teacher_disagreement_score":0.022878313,"about_ca_system_score_codex":0.00033738965,"about_ca_system_score_gemma":0.000318264,"threshold_uncertainty_score":0.045490324},"labels":[],"label_agreement":null},{"id":"W2145856167","doi":"10.5194/bg-10-3731-2013","title":"Spectrally resolved efficiencies of carbon monoxide (CO) photoproduction in the western Canadian Arctic: particles versus solutes","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Takuvik Joint International Laboratory; Université du Québec à Rimouski","funders":"Institut national des sciences de l'Univers; Fonds de recherche du Québec – Nature et technologies; Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency","keywords":"Colored dissolved organic matter; Quantum yield; Particulates; Dissolved organic carbon; Chemistry; Photic zone; Water column; Photochemistry; Environmental chemistry; Oceanography; Phytoplankton; Optics; Geology; Fluorescence; Physics; Organic chemistry","score_opus":0.02362405701311225,"score_gpt":0.20742511571825542,"score_spread":0.18380105870514318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145856167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710494,0.0004452202,0.0004303362,0.000023963581,0.0000058837513,0.000008658738,0.00085050246,0.000017451976,0.0011129895],"genre_scores_gemma":[0.99754924,0.0002725082,0.000768169,0.000023162485,0.0000022322238,0.000007666925,0.0006023833,0.000010760365,0.0007638808],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997656,0.000007589167,0.000006795843,0.000073243384,0.000100186226,0.0000465178],"domain_scores_gemma":[0.999754,0.000016909116,0.00002721159,0.000006465002,0.00016729062,0.000028170267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026039788,0.0004990729,0.0002929751,0.0011114241,0.0018924105,0.0011279495,0.00038686988,0.00029453365,0.0006102502],"category_scores_gemma":[0.00024902896,0.00026957065,0.0003216079,0.0013851917,0.00045068125,0.00031050452,0.00041725612,0.00030757528,0.000116250754],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006958938,0.00007761535,0.7315248,0.0003024989,0.000305246,0.0002711664,0.0016314213,0.0025838595,0.23382537,0.0004556216,0.00084015774,0.02748636],"study_design_scores_gemma":[0.0000061943174,0.00001950379,0.9828401,0.000009227236,0.000048665614,0.000046195393,0.00065178267,0.0020922916,0.012799496,0.000036412934,0.0014271565,0.000022963599],"about_ca_topic_score_codex":0.93702275,"about_ca_topic_score_gemma":0.94910234,"teacher_disagreement_score":0.062977254,"about_ca_system_score_codex":0.007216549,"about_ca_system_score_gemma":0.0038620627,"threshold_uncertainty_score":0.12669623},"labels":[],"label_agreement":null},{"id":"W2146203182","doi":"10.5194/bg-7-1443-2010","title":"Natural and human-induced hypoxia and consequences for coastal areas: synthesis and future development","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":482,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"National Natural Science Foundation of China; Natural Environment Research Council; Sight Research UK; National Science Foundation","keywords":"Biogeochemical cycle; Hypoxia (environmental); Ecosystem; Environmental science; Upwelling; Sustainability; Estuary; Ecology; Food web; Marine ecosystem; Oceanography; Environmental resource management; Biology; Geology","score_opus":0.013749393776005918,"score_gpt":0.21264566355987738,"score_spread":0.19889626978387145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146203182","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00982011,0.9758272,0.0007136917,0.008289539,0.00094389776,0.00007827795,0.002264088,0.000027278564,0.0020358854],"genre_scores_gemma":[0.04905042,0.94624066,0.00091988133,0.00097155775,0.00080548343,0.00011457342,0.0012404573,0.0000070154747,0.0006499246],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99950683,0.00015048022,0.00009231856,0.00010883253,0.00007754188,0.00006390452],"domain_scores_gemma":[0.99598265,0.0017773901,0.0006556865,0.00012963625,0.001097786,0.0003569828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002449355,0.00095043745,0.0015490974,0.004428311,0.00044515755,0.00224103,0.0007858752,0.0010754223,0.009226842],"category_scores_gemma":[0.0048649814,0.00034479485,0.0017138036,0.0072968383,0.00061504403,0.0024173371,0.0018740455,0.0013133216,0.0007179001],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006627051,0.0004063159,0.072679155,0.10498541,0.0034676986,0.00074087776,0.001445998,0.0037689232,0.0004665393,0.011548164,0.044556826,0.75527143],"study_design_scores_gemma":[0.00010220753,0.0012542695,0.46754685,0.13462602,0.011171765,0.0013702278,0.01045117,0.0040785717,0.0005011001,0.020283341,0.348333,0.00028151],"about_ca_topic_score_codex":0.019877514,"about_ca_topic_score_gemma":0.031349182,"teacher_disagreement_score":0.019877514,"about_ca_system_score_codex":0.003319426,"about_ca_system_score_gemma":0.00597493,"threshold_uncertainty_score":0.03952366},"labels":[],"label_agreement":null},{"id":"W2146753997","doi":"10.5194/bg-11-2793-2014","title":"Estimating spatial variation in Alberta forest biomass from a combination of forest inventory and remote sensing data","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Alberta Environment and Protected Areas; University of Alberta","funders":"Alberta Innovates; Ministry of Environment; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Alberta Biodiversity Monitoring Institute","keywords":"Forest inventory; Environmental science; Biomass (ecology); Spatial distribution; Land cover; Lidar; Spatial variability; Spatial ecology; Multivariate interpolation; Forestry; Physical geography; Remote sensing; Forest management; Land use; Ecology; Geography; Statistics; Mathematics; Agroforestry","score_opus":0.015040095124764122,"score_gpt":0.22953394278503936,"score_spread":0.21449384766027524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146753997","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936295,0.00017063435,0.0040282924,0.000025874579,0.0000046042856,0.000013735977,0.0013724363,0.000070007765,0.0006848272],"genre_scores_gemma":[0.99146444,0.00008756152,0.0061278534,0.000009814719,0.0000028010948,0.000009732361,0.0020022579,0.000005723297,0.00028978742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996877,0.000046116696,0.000016127138,0.00008378502,0.0001237894,0.000042545995],"domain_scores_gemma":[0.9993253,0.00014993094,0.00010855064,0.000049827755,0.00032555085,0.000040885534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073433353,0.0003546045,0.00020492129,0.0018241517,0.00032581209,0.0005172293,0.00047316373,0.0001509128,0.00038728965],"category_scores_gemma":[0.0014827098,0.00022700353,0.00029821336,0.0021462138,0.0002486567,0.00022680362,0.00026339723,0.00014965048,0.00010703127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013054175,0.00004883971,0.8987746,0.00004182357,0.00018825085,0.00011109206,0.00010932343,0.054431714,0.004069914,0.00025717446,0.0006909678,0.041145835],"study_design_scores_gemma":[0.000012939661,0.000016646844,0.88311267,0.000018585179,0.00006172467,0.00004800209,0.0001810889,0.11441775,0.0010976461,0.00016729994,0.00084697054,0.000018624087],"about_ca_topic_score_codex":0.8406755,"about_ca_topic_score_gemma":0.8845421,"teacher_disagreement_score":0.15932453,"about_ca_system_score_codex":0.003045784,"about_ca_system_score_gemma":0.0026074687,"threshold_uncertainty_score":0.3205256},"labels":[],"label_agreement":null},{"id":"W2147272568","doi":"10.5194/bg-8-3139-2011","title":"Preface &amp;quot;Modeling soil system: complexity under your feet&amp;quot;","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Ministerio de Economía y Competitividad","keywords":"Hydrology (agriculture); Environmental science; Geology; Geotechnical engineering","score_opus":0.10638842717041602,"score_gpt":0.2639541549738826,"score_spread":0.15756572780346656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147272568","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020790193,0.026774285,0.124698766,0.16817844,0.3941563,0.00044125432,0.006001347,0.0018775016,0.2757931],"genre_scores_gemma":[0.048525948,0.017144797,0.039820444,0.028302342,0.16887598,0.0006145068,0.0039857887,0.0020447776,0.6906854],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996897,0.0000710236,0.00001804914,0.00007095888,0.00013587013,0.000014470026],"domain_scores_gemma":[0.99756765,0.00072756247,0.00009758762,0.00017432713,0.0012635805,0.00016925394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010003743,0.0007527142,0.00050744327,0.000782215,0.0013789521,0.0019912517,0.00087562745,0.0013658239,0.059060782],"category_scores_gemma":[0.0054196725,0.00027360138,0.0005021641,0.00079798215,0.0012963803,0.0030403647,0.0010196908,0.0034970334,0.025338305],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018897754,0.000011070359,0.00016455389,0.00012607366,0.0000041497615,0.000066094144,0.0001547428,0.0006553959,0.00026485402,0.028266268,0.9300144,0.040253453],"study_design_scores_gemma":[0.0000089816585,0.000030072126,0.0008092457,0.00021557935,0.000005698874,0.00011990424,0.00009723718,0.0014576301,0.00021010582,0.027408836,0.96961707,0.000019721141],"about_ca_topic_score_codex":0.007730376,"about_ca_topic_score_gemma":0.0057661454,"teacher_disagreement_score":0.059060782,"about_ca_system_score_codex":0.0015233612,"about_ca_system_score_gemma":0.00077074184,"threshold_uncertainty_score":0.19757801},"labels":[],"label_agreement":null},{"id":"W2147738665","doi":"10.5194/bg-5-323-2008","title":"Evidence for efficient regenerated production and dinitrogen fixation in nitrogen-deficient waters of the South Pacific Ocean: impact on new and export production estimates","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":128,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Upwelling; Nitrate; Nitrogen; New production; Ammonium; Nitrification; Nutrient; Ocean gyre; Productivity; Environmental science; Nitrogen fixation; Oceanography; Chemistry; Environmental chemistry; Phytoplankton; Ecology; Biology; Subtropics; Geology","score_opus":0.04034047915938404,"score_gpt":0.2348400162992809,"score_spread":0.19449953713989684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147738665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985928,0.00023963217,0.00017342952,0.00001886457,0.0000016491366,0.000003225615,0.00021980135,0.000005261824,0.00074527867],"genre_scores_gemma":[0.99844056,0.0002491215,0.00042986535,0.000012824343,0.0000026091107,0.000007277998,0.00051322446,0.0000071425607,0.00033729518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998939,0.000012601992,0.000011307994,0.000039592807,0.00003131374,0.000011181156],"domain_scores_gemma":[0.99957067,0.00008035038,0.00011804919,0.000039848877,0.00013652974,0.00005451555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032352065,0.00041589423,0.00021509704,0.0006183328,0.00032828553,0.00040895358,0.00027935446,0.00023576462,0.001057562],"category_scores_gemma":[0.00054903317,0.00026700864,0.00018786172,0.0005542038,0.0004613406,0.0004331684,0.00047757747,0.00025379343,0.00020945707],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033147613,0.000019891128,0.8685894,0.00024190285,0.000087085595,0.0002306462,0.0005158879,0.00039016485,0.12034464,0.00008930165,0.00009429382,0.009065373],"study_design_scores_gemma":[0.0000064913247,0.000036616766,0.99513453,0.000007551672,0.000013434787,0.00006176331,0.00019058397,0.0003805953,0.0037339965,0.000037605885,0.0003934523,0.0000032348762],"about_ca_topic_score_codex":0.021849345,"about_ca_topic_score_gemma":0.032542717,"teacher_disagreement_score":0.021849345,"about_ca_system_score_codex":0.00047040114,"about_ca_system_score_gemma":0.00035956092,"threshold_uncertainty_score":0.043444335},"labels":[],"label_agreement":null},{"id":"W2147943796","doi":"10.5194/bg-10-7999-2013","title":"Biological and physical influences on soil <sup>14</sup> CO <sub>2</sub> seasonal dynamics in a temperate hardwood forest","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Laboratory Directed Research and Development; Lawrence Livermore National Laboratory; U.S. Geological Survey; U.S. Department of Energy","keywords":"Animal science; Context (archaeology); Temperate climate; Respiration; Soil respiration; Soil water; Water content; Chemistry; Carbon cycle; Environmental science; Moisture; Atmospheric sciences; Ecology; Environmental chemistry; Soil science; Biology; Botany; Geology; Ecosystem","score_opus":0.014655495296289603,"score_gpt":0.2178400262742909,"score_spread":0.2031845309780013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147943796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99966156,0.0000562146,0.000037931466,0.0000042908205,6.964512e-7,0.0000025642948,0.00011043504,0.000003375936,0.00012291307],"genre_scores_gemma":[0.9995271,0.0000476406,0.0001014666,0.0000094768,0.0000021601704,0.0000058828423,0.00018926128,0.0000019368795,0.000115152514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985147,0.000019504978,0.000011536221,0.000057817688,0.000022732278,0.000036807247],"domain_scores_gemma":[0.99958843,0.000056296427,0.00014994467,0.000018963345,0.000099173085,0.00008726283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027386655,0.000365108,0.00023164004,0.00047605598,0.00055573037,0.0007240829,0.00026909326,0.00016604211,0.0005533216],"category_scores_gemma":[0.00021927284,0.00018696145,0.00016099437,0.0005247206,0.00028697881,0.0003337436,0.00032831685,0.00018564869,0.00010327925],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002890058,0.000084435145,0.952277,0.000036517016,0.00008631465,0.00019194592,0.00036745364,0.00025441582,0.041845225,0.000024336716,0.00007570118,0.0044675926],"study_design_scores_gemma":[8.0903067e-7,0.000023234912,0.99918276,0.0000014048585,0.000008763176,0.000020956391,0.0001146175,0.00014011256,0.00042193255,0.0000036551087,0.00008054679,0.0000012083873],"about_ca_topic_score_codex":0.044039194,"about_ca_topic_score_gemma":0.13353838,"teacher_disagreement_score":0.044039194,"about_ca_system_score_codex":0.000851551,"about_ca_system_score_gemma":0.00041429265,"threshold_uncertainty_score":0.08756572},"labels":[],"label_agreement":null},{"id":"W2148042884","doi":"10.5194/bg-11-4753-2014","title":"Assessing effects of permafrost thaw on C fluxes based on multiyear modeling across a permafrost thaw gradient at Stordalen, Sweden","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"National Aeronautics and Space Administration; U.S. Department of Energy; National Science Foundation","keywords":"Permafrost; Environmental science; Peat; Biogeochemical cycle; Soil carbon; Subarctic climate; Ecosystem; Atmospheric sciences; Hydrology (agriculture); Soil water; Soil science; Geology; Ecology; Oceanography","score_opus":0.04596720909625004,"score_gpt":0.28499290245372233,"score_spread":0.23902569335747229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148042884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991861,0.00001845805,0.00042939404,0.000007457861,0.0000027341775,0.0000052366427,0.000103910286,0.000020855736,0.00022583712],"genre_scores_gemma":[0.9990539,0.000018964793,0.000641593,0.000004068986,0.0000011644319,0.000008346144,0.00016052068,0.00000518475,0.00010623721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999229,0.000017364522,0.0000066773396,0.000022688053,0.000009746681,0.000020636026],"domain_scores_gemma":[0.9997404,0.00011299311,0.000036813763,0.000025776779,0.000040103972,0.000043765307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003314919,0.0005356332,0.00037414607,0.0003627372,0.00045920894,0.00061596715,0.00055722904,0.0007014929,0.00046999598],"category_scores_gemma":[0.00041823756,0.00032033035,0.00088676513,0.0002470903,0.00021078798,0.00042629623,0.00026508368,0.00034853813,0.00006251925],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019544228,0.00017473663,0.095831305,0.000029727174,0.000121741185,0.00017917577,0.000056977435,0.89560354,0.004722756,0.00009558775,0.00010346861,0.0028856306],"study_design_scores_gemma":[0.000029028248,0.000110957786,0.045916434,0.0000073918504,0.000046350353,0.00002543178,0.000062903215,0.95202315,0.0015431334,0.000054862492,0.00016544918,0.000014965137],"about_ca_topic_score_codex":0.05630872,"about_ca_topic_score_gemma":0.047205918,"teacher_disagreement_score":0.05630872,"about_ca_system_score_codex":0.0009980953,"about_ca_system_score_gemma":0.0008103657,"threshold_uncertainty_score":0.1119619},"labels":[],"label_agreement":null},{"id":"W2148129018","doi":"10.5194/bg-10-7179-2013","title":"A nitrogen budget for the Strait of Georgia, British Columbia, with emphasis on particulate nitrogen and dissolved inorganic nitrogen","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"Ministry of Environment","keywords":"Eutrophication; Oceanography; Particulates; Nitrogen; Environmental science; New production; Terrigenous sediment; Flux (metallurgy); Advection; Geology; Nutrient; Phytoplankton; Chemistry; Ecology; Biology","score_opus":0.00835991920062603,"score_gpt":0.18258342732963315,"score_spread":0.1742235081290071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148129018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7554072,0.008177945,0.003585856,0.0027212596,0.0003125535,0.00032010252,0.1615408,0.00073077914,0.06720346],"genre_scores_gemma":[0.9043148,0.0057689133,0.009755215,0.00048181496,0.000020042127,0.00016909813,0.04360704,0.00012513841,0.035757933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998797,0.0000070459178,0.0000075815115,0.000020408095,0.000062610256,0.000022596147],"domain_scores_gemma":[0.99968123,0.0000068178006,0.0000187615,0.000006866996,0.00023742569,0.00004894606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001285524,0.0005550396,0.00021909042,0.0015796353,0.0009695589,0.00092443795,0.00048318005,0.00032762458,0.0023646432],"category_scores_gemma":[0.00030436454,0.0002650215,0.00021543715,0.002992624,0.00020844996,0.00032422683,0.00029767194,0.00042043792,0.00064520544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003880823,0.00020765982,0.5133902,0.0019882428,0.0007849615,0.0013388494,0.0009446004,0.06875738,0.037159268,0.00956532,0.1271018,0.23837374],"study_design_scores_gemma":[0.000078622106,0.000056385637,0.762465,0.00044768082,0.00020232046,0.00022009041,0.0010794001,0.024799164,0.0021866788,0.0010222762,0.20734116,0.000101129604],"about_ca_topic_score_codex":0.9831941,"about_ca_topic_score_gemma":0.99345446,"teacher_disagreement_score":0.01689122,"about_ca_system_score_codex":0.01689122,"about_ca_system_score_gemma":0.02521258,"threshold_uncertainty_score":0.12255496},"labels":[],"label_agreement":null},{"id":"W2148184397","doi":"10.5194/bg-9-2351-2012","title":"Calcium carbonate production response to future ocean warming and acidification","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"Concordia University; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Ocean acidification; Alkalinity; Pelagic zone; Effects of global warming on oceans; Carbon dioxide; Environmental science; Calcium carbonate; Carbon sequestration; Calcite; Global warming; Carbon cycle; Oceanography; Climate change; Carbonate; Carbon dioxide in Earth's atmosphere; Total inorganic carbon; Calcification; Ecology; Ecosystem; Geology; Chemistry; Mineralogy; Biology","score_opus":0.020492102416034386,"score_gpt":0.247189970465082,"score_spread":0.22669786804904762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148184397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568033,0.000066425855,0.0011694686,0.00017356726,0.000019259076,0.000008983813,0.00047005268,0.00005931738,0.0023525825],"genre_scores_gemma":[0.99912983,0.00003413961,0.0003334977,0.000023950543,0.0000026501061,0.000007792692,0.000212805,0.000012139835,0.00024317189],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999238,0.000017740658,0.00000478519,0.000025092986,0.000009554135,0.00001906994],"domain_scores_gemma":[0.9997657,0.000094910254,0.000034778084,0.000021240812,0.000039749342,0.00004353272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023036942,0.0005551695,0.00030485183,0.0002835666,0.0003513676,0.00089857273,0.00063106965,0.0009292933,0.0017919871],"category_scores_gemma":[0.0010915934,0.00028473747,0.0008797642,0.0003176411,0.00057300023,0.0005226837,0.00044733295,0.0006449131,0.00011747925],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010822615,0.000056046945,0.014285225,0.00003376372,0.00006505417,0.00009085845,0.000019899884,0.9794862,0.0042994367,0.00067723833,0.0002215607,0.0006565722],"study_design_scores_gemma":[0.00009267212,0.000103012775,0.012825755,0.000009451735,0.00005582678,0.000032226202,0.000036843972,0.9843753,0.0015265621,0.0005853295,0.00033428002,0.000022689628],"about_ca_topic_score_codex":0.04153779,"about_ca_topic_score_gemma":0.016303448,"teacher_disagreement_score":0.04153779,"about_ca_system_score_codex":0.0012865671,"about_ca_system_score_gemma":0.00074872654,"threshold_uncertainty_score":0.08259201},"labels":[],"label_agreement":null},{"id":"W2148670822","doi":"10.5194/bg-12-5291-2015","title":"Derivation of greenhouse gas emission factors for peatlands managed for extraction in the Republic of Ireland and the United Kingdom","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Menzies Centre for Australian Studies, King's College London, University of London; Fifth Framework Programme; Natural Environment Research Council; Sight Research UK; King's College London; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Peat; Greenhouse gas; Environmental science; United Nations Framework Convention on Climate Change; Kyoto Protocol; Carbon dioxide; Wetland; Nitrous oxide; Climate change; Methane; Environmental protection; Hydrology (agriculture); Environmental engineering; Physical geography; Geography; Ecology","score_opus":0.04817632612729028,"score_gpt":0.28001297046977575,"score_spread":0.23183664434248547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148670822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919303,0.00013182762,0.0022016452,0.000013872008,0.000004033771,0.000033780634,0.0029530593,0.00003026116,0.0027010776],"genre_scores_gemma":[0.9940475,0.00011469217,0.0025024032,0.000013419319,0.0000010909345,0.00005777847,0.0027587146,0.000016357302,0.0004880104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996038,0.00006819078,0.00005647141,0.00009917357,0.00009165209,0.00008070316],"domain_scores_gemma":[0.9994081,0.000115974704,0.00016530004,0.000066137894,0.00022039365,0.00002415718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042747124,0.0003817951,0.00030391943,0.0010164169,0.00018758375,0.00066169805,0.0003153019,0.00017404046,0.0006538735],"category_scores_gemma":[0.0010082581,0.00019529296,0.00066363916,0.0014700323,0.00018344668,0.00036472632,0.0005032101,0.00017388636,0.00026788222],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027799854,0.00008684067,0.8897342,0.00042847448,0.0002656729,0.0012636081,0.0006515952,0.04777802,0.022453783,0.0005941703,0.0017151521,0.03475055],"study_design_scores_gemma":[0.000024914185,0.00004612924,0.959586,0.000066656525,0.000075616284,0.00023708926,0.0008224196,0.02543718,0.009189391,0.00014080243,0.0043320307,0.000041611194],"about_ca_topic_score_codex":0.1244364,"about_ca_topic_score_gemma":0.14052396,"teacher_disagreement_score":0.1244364,"about_ca_system_score_codex":0.0018165826,"about_ca_system_score_gemma":0.0007033746,"threshold_uncertainty_score":0.24742424},"labels":[],"label_agreement":null},{"id":"W2148842363","doi":"10.5194/bg-11-5285-2014","title":"Mechanisms of microbial carbon sequestration in the ocean – future research directions","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":256,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China; European Commission; Sight Research UK; National Key Research and Development Program of China; Leverhulme Trust; Natural Environment Research Council; Gordon and Betty Moore Foundation","keywords":"Carbon sequestration; Environmental science; Context (archaeology); Carbon cycle; Earth science; Ecosystem; Dissolved organic carbon; Environmental chemistry; Ecology; Biochemical engineering; Chemistry; Biology; Geology; Carbon dioxide","score_opus":0.0261199730697892,"score_gpt":0.282418122672184,"score_spread":0.25629814960239483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2148842363","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0077124294,0.95638543,0.004277277,0.024963962,0.0011084825,0.00002856692,0.00010591511,0.00014390393,0.0052739806],"genre_scores_gemma":[0.0819406,0.8966519,0.007975134,0.0049348944,0.0034352923,0.00009115245,0.00024831525,0.000026390213,0.004696287],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9994241,0.00013810514,0.000049760307,0.00013080172,0.0001110445,0.00014620474],"domain_scores_gemma":[0.9982003,0.00055415963,0.0002532101,0.00013868816,0.00052101666,0.0003326049],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037051698,0.0010062616,0.0014492377,0.0014866189,0.00067923253,0.0038430751,0.0019749957,0.004186677,0.004969342],"category_scores_gemma":[0.0011163512,0.00044197156,0.0010335974,0.0013017396,0.0024384824,0.009035987,0.0022288149,0.0025227582,0.0013130965],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011017239,0.00058243127,0.007683541,0.019575238,0.00048454243,0.0018977532,0.0009857834,0.01309175,0.031241069,0.15578121,0.03284396,0.734731],"study_design_scores_gemma":[0.00012240419,0.0011863629,0.012420272,0.0060364255,0.0003635398,0.0017265026,0.004553008,0.014349516,0.0128346905,0.33851835,0.6075546,0.00033430863],"about_ca_topic_score_codex":0.002107385,"about_ca_topic_score_gemma":0.0025231072,"teacher_disagreement_score":0.004969342,"about_ca_system_score_codex":0.0021036903,"about_ca_system_score_gemma":0.0035536923,"threshold_uncertainty_score":0.019595087},"labels":[],"label_agreement":null},{"id":"W2149105527","doi":"10.5194/bg-7-2283-2010","title":"Evidence for greater oxygen decline rates in the coastal ocean than in the open ocean","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":304,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada","keywords":"Oxygen; Hypoxia (environmental); Ocean observations; Oceanography; Pelagic zone; Environmental science; Oxygen saturation; Raw data; Open water; Limiting oxygen concentration; Geology; Chemistry; Statistics; Mathematics","score_opus":0.06153027541924287,"score_gpt":0.2856984535161697,"score_spread":0.2241681780969268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149105527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889859,0.0019386032,0.00066848757,0.00039987644,0.000054998014,0.00000441944,0.0016435848,0.0000310702,0.0062731644],"genre_scores_gemma":[0.9968618,0.0007871338,0.00025320335,0.00009345235,0.000051417697,0.0000045194115,0.0013035693,0.000007901954,0.0006369527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99963975,0.000055926546,0.00006145264,0.00010376808,0.000103334256,0.000035725738],"domain_scores_gemma":[0.9920018,0.0020949556,0.0035862604,0.00043982206,0.0015125432,0.0003647124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080119364,0.00014484898,0.00020868343,0.0013971286,0.00016727654,0.0007965994,0.00017478065,0.00018919933,0.0018149008],"category_scores_gemma":[0.0040217177,0.00008927031,0.0002497573,0.002062779,0.00038895,0.00064650393,0.0006569201,0.00026169533,0.00034053906],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016384858,0.0000108432305,0.9849258,0.00012556765,0.00011275537,0.000061307364,0.00020970005,0.00015231741,0.003578881,0.00022695184,0.00033725402,0.010094886],"study_design_scores_gemma":[0.000004011592,0.000047057227,0.996253,0.000017152064,0.00003072064,0.00007083454,0.00024176101,0.00017352353,0.00092147285,0.0001493288,0.0020877905,0.0000032466387],"about_ca_topic_score_codex":0.0030601928,"about_ca_topic_score_gemma":0.004550032,"teacher_disagreement_score":0.0030601928,"about_ca_system_score_codex":0.00017992195,"about_ca_system_score_gemma":0.00019010493,"threshold_uncertainty_score":0.00608474},"labels":[],"label_agreement":null},{"id":"W2149705278","doi":"10.5194/bg-6-2421-2009","title":"Calcium carbonate saturation in the surface water of the Arctic Ocean: undersaturation in freshwater influenced shelves","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":205,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vetenskapsrådet; Svenska Forskningsrådet Formas; Polarforskningssekretariatet","keywords":"Aragonite; Oceanography; Seawater; Upwelling; Surface water; Carbonate; Ocean acidification; Geology; Calcite; Calcium carbonate; Arctic; Saturation (graph theory); Alkalinity; Salinity; Water column; Dissolved organic carbon; Mineralogy; Environmental science; Chemistry","score_opus":0.01257032090551762,"score_gpt":0.21597721235017622,"score_spread":0.2034068914446586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149705278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996308,0.000057342237,0.000018545878,0.0000037023653,8.1312254e-7,0.0000011008748,0.00012067947,0.0000011479647,0.00016589947],"genre_scores_gemma":[0.99959785,0.000043319636,0.00006326753,0.0000055308283,0.0000012982879,0.0000020934378,0.00019958625,0.0000011173512,0.00008593132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989045,0.000013271904,0.00000880483,0.000030375635,0.00002988241,0.000027148786],"domain_scores_gemma":[0.99963176,0.00003296482,0.00009653676,0.000011555828,0.00015518104,0.00007196849],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002104213,0.00026210633,0.00033044274,0.0008105148,0.00081876793,0.00070947665,0.0002505422,0.00020796576,0.00045890544],"category_scores_gemma":[0.00043092176,0.0002615442,0.00020076742,0.000922624,0.0003830896,0.0002302585,0.00042158112,0.00016684867,0.00009031294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014401085,0.000008957143,0.9924027,0.0000117441805,0.000038360195,0.00005893887,0.00025107316,0.00009029234,0.005491709,0.0000126245395,0.000032289983,0.0014574112],"study_design_scores_gemma":[0.0000011175146,0.000011345572,0.9991492,0.0000019543702,0.0000063478014,0.000030998628,0.00018729827,0.00019746847,0.00031955907,0.00000570514,0.00008726442,0.0000015742971],"about_ca_topic_score_codex":0.1535103,"about_ca_topic_score_gemma":0.25532332,"teacher_disagreement_score":0.1535103,"about_ca_system_score_codex":0.001107184,"about_ca_system_score_gemma":0.0006906376,"threshold_uncertainty_score":0.30523354},"labels":[],"label_agreement":null},{"id":"W2149888331","doi":"10.5194/bg-12-7129-2015","title":"Reviews and syntheses: Effects of permafrost thaw on Arctic aquatic ecosystems","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":599,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi; University of Alberta; Université de Montréal; Université Laval; Center for Northern Studies; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; International Arctic Science Committee; Natural Environment Research Council; Alberta Innovates; Sight Research UK; Helsingin Yliopisto; ArcticNet; Fonds de recherche du Québec – Nature et technologies; Université Laval; University of Alberta; National Science Foundation","keywords":"Thermokarst; Permafrost; Environmental science; Ecosystem; Arctic; Active layer; Aquatic ecosystem; Hydrology (agriculture); STREAMS; Physical geography; Geology; Ecology; Oceanography; Geography; Geotechnical engineering; Layer (electronics); Chemistry","score_opus":0.06904292569958995,"score_gpt":0.260281586890126,"score_spread":0.19123866119053604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149888331","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009370807,0.9945452,0.00012707476,0.0006758157,0.0015072895,0.000014513492,0.0005144388,0.000023104698,0.0024989187],"genre_scores_gemma":[0.00078998454,0.9965037,0.0002555863,0.00054284616,0.0008899735,0.00003423234,0.00037705255,0.000012777695,0.00059387076],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983784,0.00035757016,0.0004431073,0.00024117371,0.00046117674,0.000118531745],"domain_scores_gemma":[0.98724115,0.009182964,0.0014503388,0.00034054567,0.0015168707,0.00026800108],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021728778,0.002167298,0.0030703463,0.012635939,0.00059221865,0.0033436758,0.0013508564,0.0018961629,0.024028486],"category_scores_gemma":[0.012579226,0.0006923711,0.0018659782,0.021551942,0.00095362664,0.0024755418,0.0018420859,0.0018711302,0.0055893604],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014147031,0.000056011664,0.00032517806,0.4220937,0.0010488881,0.00019463775,0.00052974117,0.0010231963,0.0009836885,0.007253926,0.1753505,0.39099914],"study_design_scores_gemma":[0.00001852315,0.000037421076,0.0013426933,0.1215391,0.0007851443,0.00017584233,0.00018811807,0.00006226787,0.0002024991,0.0020828056,0.87353325,0.000032258613],"about_ca_topic_score_codex":0.0071717976,"about_ca_topic_score_gemma":0.010520133,"teacher_disagreement_score":0.024028486,"about_ca_system_score_codex":0.002546408,"about_ca_system_score_gemma":0.0067977826,"threshold_uncertainty_score":0.0803833},"labels":[],"label_agreement":null},{"id":"W2149905768","doi":"10.5194/bg-12-4651-2015","title":"Hydrologic controls on DOC, As and Pb export from a polluted peatland – the importance of heavy rain events, antecedent moisture conditions and hydrological connectivity","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Merck Canada","keywords":"Dissolved organic carbon; Bog; Peat; Environmental science; Water table; Surface runoff; Hydrology (agriculture); Precipitation; Environmental chemistry; Antecedent moisture; Groundwater; Chemistry; Geology; Ecology","score_opus":0.017566005830788798,"score_gpt":0.25128948963844483,"score_spread":0.23372348380765604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2149905768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997304,0.000017977502,0.000027203085,0.0000027623003,4.827284e-7,0.0000011551617,0.00009786179,0.0000025067839,0.00011961325],"genre_scores_gemma":[0.9996686,0.000019403664,0.000031012853,0.000001909505,0.0000011035316,0.000001483461,0.00015209217,0.000001537698,0.000122919],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999713,0.000005885799,0.000002685262,0.000008386584,0.000003999041,0.000007636807],"domain_scores_gemma":[0.9999033,0.000021050291,0.0000234,0.0000063196962,0.000015196177,0.000030755727],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010213493,0.00012620533,0.00012782266,0.00022844263,0.000120029305,0.00032589256,0.00006469682,0.00008885975,0.0005641491],"category_scores_gemma":[0.00011735787,0.00008615242,0.000109158915,0.00015602147,0.00014785651,0.00015332697,0.0001615615,0.00008875914,0.0000790446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00071041886,0.00013399603,0.7317744,0.00005474368,0.00012143586,0.00029663608,0.00020927597,0.0017142473,0.25713128,0.00017857288,0.00015022738,0.007524749],"study_design_scores_gemma":[0.0000020137918,0.000025557702,0.9981096,9.221429e-7,0.0000061452015,0.00001952401,0.00003887133,0.0006578585,0.001012503,0.000019522688,0.00010610349,0.0000014014613],"about_ca_topic_score_codex":0.007261104,"about_ca_topic_score_gemma":0.009025012,"teacher_disagreement_score":0.007261104,"about_ca_system_score_codex":0.000236259,"about_ca_system_score_gemma":0.0001562095,"threshold_uncertainty_score":0.0144376755},"labels":[],"label_agreement":null},{"id":"W2150113003","doi":"10.5194/bg-10-371-2013","title":"Dissolved inorganic carbon and alkalinity fluxes from coastal marine sediments: model estimates for different shelf environments and sensitivity to global change","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":241,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Environment Research Council; European Commission; Sight Research UK","keywords":"Alkalinity; Benthic zone; Environmental chemistry; Carbonate; Total inorganic carbon; Dissolved organic carbon; Carbon cycle; Seawater; Water column; Total organic carbon; Oceanography; Sediment; Aragonite; Particulates; Environmental science; Calcite; Chemistry; Geology; Mineralogy; Carbon dioxide; Ecosystem; Ecology","score_opus":0.01753712294189028,"score_gpt":0.20731959076655304,"score_spread":0.18978246782466276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2150113003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948096,0.000064634965,0.0034746327,0.000070368114,0.0000056010695,0.000012660579,0.0008381071,0.000090653964,0.00063363084],"genre_scores_gemma":[0.9964148,0.00007067295,0.002259396,0.00001901549,0.000002603601,0.000028489661,0.00095253484,0.00001917871,0.00023328047],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986815,0.00003641239,0.000012538755,0.0000479515,0.000019014946,0.000015906866],"domain_scores_gemma":[0.99944943,0.00024048315,0.00008427643,0.00006563843,0.00012746947,0.000032700857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007352722,0.0008532514,0.00040838245,0.00034297534,0.00032568572,0.0008889315,0.00070137624,0.00081513135,0.00056688354],"category_scores_gemma":[0.0013509806,0.0005007362,0.0009781884,0.00045287673,0.00036424145,0.0007025014,0.00047020186,0.0004900047,0.00012786094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070224676,0.00002903666,0.03061941,0.000027484439,0.00010071555,0.000043223255,0.000021402413,0.96552235,0.001892326,0.00022095942,0.00010030588,0.0013524555],"study_design_scores_gemma":[0.000055588636,0.000048039325,0.015705109,0.000007633731,0.00005677987,0.00001722123,0.000021969394,0.9821899,0.0014532042,0.00023213612,0.00019269883,0.000019812102],"about_ca_topic_score_codex":0.038797043,"about_ca_topic_score_gemma":0.017378327,"teacher_disagreement_score":0.038797043,"about_ca_system_score_codex":0.0015385103,"about_ca_system_score_gemma":0.00062895153,"threshold_uncertainty_score":0.07714248},"labels":[],"label_agreement":null},{"id":"W2152258214","doi":"10.5194/bg-11-763-2014","title":"Phenology as a strategy for carbon optimality: a global model","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Microsoft Research; Canadian Foundation for Climate and Atmospheric Sciences; Natural Resources Canada; Université Laval; U.S. Department of Energy; National Science Foundation","keywords":"Phenology; Leaf area index; Biome; Environmental science; Canopy; Climate change; Ecosystem; Atmospheric sciences; Growing season; Carbon cycle; Climatology; Ecology; Biology","score_opus":0.021197703143358358,"score_gpt":0.26048203432061195,"score_spread":0.2392843311772536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152258214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71115136,0.0010845587,0.24012746,0.0033071667,0.000099760786,0.000072594135,0.0029091733,0.00059474667,0.040653087],"genre_scores_gemma":[0.9784645,0.00037223115,0.013772429,0.00021261767,0.00003199899,0.000104322,0.00054757297,0.00016626279,0.0063281194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988616,0.000041272564,0.0000032520122,0.00004119113,0.000010483947,0.0000176757],"domain_scores_gemma":[0.99974793,0.00011402135,0.000039175186,0.000019703817,0.000035593293,0.000043529042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005359422,0.00062190974,0.00050968945,0.00048103143,0.00051771145,0.0009971799,0.0009104117,0.0011894346,0.003765421],"category_scores_gemma":[0.000978917,0.00030258863,0.0008122048,0.00081298535,0.0008663759,0.0013175161,0.0007897938,0.00075006165,0.0003772171],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001998296,0.000015046933,0.0025074168,0.000013638947,0.000028713479,0.000030671858,0.000036470625,0.98537225,0.00053109403,0.008942401,0.00056647277,0.0019358713],"study_design_scores_gemma":[0.000025842268,0.000016031021,0.0020652097,0.000005327587,0.000015863245,0.000017009903,0.000016436168,0.98841035,0.000047145077,0.0083662225,0.0010039889,0.000010629846],"about_ca_topic_score_codex":0.022864439,"about_ca_topic_score_gemma":0.01206218,"teacher_disagreement_score":0.022864439,"about_ca_system_score_codex":0.0013553326,"about_ca_system_score_gemma":0.0008018306,"threshold_uncertainty_score":0.045462668},"labels":[],"label_agreement":null},{"id":"W2152512881","doi":"10.5194/bg-6-2297-2009","title":"Biosphere-atmosphere exchange of CO <sub>2</sub> in relation to climate: a cross-biome analysis across multiple time scales","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Lawrence Berkeley National Laboratory; European Commission; Oak Ridge National Laboratory; Microsoft Research; U.S. Department of Energy; National Science Foundation","keywords":"Eddy covariance; Biosphere; Atmospheric sciences; Environmental science; FluxNet; Biome; Climatology; Ecosystem; Flux (metallurgy); Climate change; Ecology; Geology; Biology; Chemistry","score_opus":0.007845949285815007,"score_gpt":0.24796749566119738,"score_spread":0.24012154637538238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152512881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808466,0.00015946469,0.0005819552,0.000055330755,0.000005524273,0.0000021183055,0.00071189343,0.000022885577,0.0003763148],"genre_scores_gemma":[0.9978896,0.0000909773,0.00043266587,0.000016805534,0.000006826291,0.0000051927327,0.0013490901,0.000011476762,0.00019751316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999076,0.000018667577,0.0000068415316,0.000034932615,0.000016332724,0.000015685471],"domain_scores_gemma":[0.99968123,0.00010533522,0.000060568756,0.000040662777,0.00007005518,0.000042159387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057085574,0.0002402252,0.00022848228,0.0008345557,0.00022455998,0.00057140907,0.00016914895,0.00026796781,0.0009409336],"category_scores_gemma":[0.00084592507,0.00009623098,0.0005236292,0.0010843674,0.00016994271,0.0004904056,0.00038669622,0.00019118378,0.0001647973],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020400881,0.00006538061,0.9481351,0.000066483706,0.00090077915,0.00021390444,0.00016390304,0.012462939,0.014639305,0.00046747632,0.0013093567,0.021371262],"study_design_scores_gemma":[0.0000025002264,0.000012666345,0.9862996,0.0000038694693,0.000050280643,0.000042803913,0.00007869166,0.012407629,0.00046319328,0.00010969573,0.0005233832,0.0000058451433],"about_ca_topic_score_codex":0.013197872,"about_ca_topic_score_gemma":0.014272122,"teacher_disagreement_score":0.013197872,"about_ca_system_score_codex":0.00024505245,"about_ca_system_score_gemma":0.00017023351,"threshold_uncertainty_score":0.026242077},"labels":[],"label_agreement":null},{"id":"W2152548248","doi":"10.5194/bg-5-1073-2008","title":"Microbiology and atmospheric processes: chemical interactions of primary biological aerosols","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":181,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Social Fund; Institut National de la Recherche Agronomique; European Science Foundation","keywords":"Aerosol; Atmosphere (unit); Environmental chemistry; Particulates; Environmental science; Atmospheric chemistry; Primary (astronomy); Chemistry; Snow; Chemical composition; Atmospheric sciences; Meteorology; Ozone; Organic chemistry; Physics","score_opus":0.024326977416363464,"score_gpt":0.21405217976026567,"score_spread":0.1897252023439022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152548248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7958991,0.1425431,0.021447975,0.0034531064,0.0010442561,0.00010060771,0.00041560578,0.0001358623,0.03496035],"genre_scores_gemma":[0.97304124,0.017986812,0.0031803036,0.00024722694,0.00041020158,0.000015290305,0.00009187193,0.00001592298,0.005011295],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99978346,0.000055377383,0.000007268602,0.000043087824,0.00007265203,0.00003817799],"domain_scores_gemma":[0.99984133,0.0000529741,0.00003849305,0.0000069996768,0.00003277307,0.000027410935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021834447,0.00042899698,0.00033726406,0.00032784799,0.00039793094,0.0009463387,0.00025186426,0.00081516284,0.001984214],"category_scores_gemma":[0.00026172653,0.00013039338,0.00035928507,0.0002766027,0.00028820115,0.00039776386,0.0004984221,0.00029656015,0.00044139472],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024684356,0.00036615165,0.057164676,0.0029744578,0.00026865286,0.0014205923,0.00031865915,0.009333551,0.8032861,0.015533592,0.002220569,0.1068661],"study_design_scores_gemma":[0.000060110207,0.001997497,0.29096335,0.00036923928,0.00041260774,0.0032191868,0.00090778555,0.044009876,0.48044583,0.032152902,0.14534304,0.00011860861],"about_ca_topic_score_codex":0.0018703412,"about_ca_topic_score_gemma":0.0017154881,"teacher_disagreement_score":0.001984214,"about_ca_system_score_codex":0.00059395947,"about_ca_system_score_gemma":0.00049489655,"threshold_uncertainty_score":0.0066378117},"labels":[],"label_agreement":null},{"id":"W2152851553","doi":"10.5194/bg-7-933-2010","title":"Modeling dissolved oxygen dynamics and hypoxia","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":169,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Biogeochemical cycle; Hypoxia (environmental); Pelagic zone; Benthic zone; Ecology; Biogeochemistry; Environmental science; Oceanography; Biology; Oxygen; Chemistry; Geology","score_opus":0.01068891561512926,"score_gpt":0.194843987758859,"score_spread":0.18415507214372973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2152851553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59959716,0.00521831,0.35645533,0.0043366537,0.00060219126,0.00014689757,0.0036936263,0.0008355716,0.029114239],"genre_scores_gemma":[0.98229456,0.0018725895,0.010253211,0.0001561703,0.00011263446,0.00011456662,0.0007400943,0.000049956696,0.004406204],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999038,0.000026418962,0.000007317387,0.000028545666,0.000017442726,0.000016566593],"domain_scores_gemma":[0.9997602,0.00011679721,0.0000493553,0.000008954268,0.00003940438,0.000025269359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018793158,0.00052722986,0.00044956242,0.00035169467,0.00035822552,0.0009665153,0.0006310356,0.0012019045,0.0008946519],"category_scores_gemma":[0.0009880055,0.00026614298,0.000598846,0.00042532003,0.00040891752,0.0009344817,0.0007789507,0.0006507778,0.00014294371],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017837401,0.000017576609,0.003767563,0.000045059365,0.00003587892,0.00006298239,0.000034403285,0.9832097,0.0012212208,0.0070127705,0.000511515,0.0040633874],"study_design_scores_gemma":[0.000008674094,0.000010327427,0.0005770098,0.0000060853713,0.000010501962,0.000008217089,0.000011470187,0.99492306,0.00019526514,0.0030849462,0.0011588047,0.0000056468493],"about_ca_topic_score_codex":0.025722954,"about_ca_topic_score_gemma":0.00889917,"teacher_disagreement_score":0.025722954,"about_ca_system_score_codex":0.0010677228,"about_ca_system_score_gemma":0.00092085346,"threshold_uncertainty_score":0.051146448},"labels":[],"label_agreement":null},{"id":"W2153082073","doi":"10.5194/bg-6-2985-2009","title":"Temporal responses of coastal hypoxia to nutrient loading and physical controls","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":437,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Maryland Sea Grant, University of Maryland; National Oceanic and Atmospheric Administration; California HIV/AIDS Research Program; U.S. Department of Commerce; National Science Foundation","keywords":"Eutrophication; Hypoxia (environmental); Nutrient; Ecosystem; Environmental science; Organic matter; Ecology; Environmental remediation; Aquatic ecosystem; Biology; Contamination; Oxygen; Chemistry","score_opus":0.014236718011171965,"score_gpt":0.2265719504974917,"score_spread":0.21233523248631975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153082073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99550265,0.0010567851,0.00037229536,0.00007021965,0.000006305675,0.000014229083,0.0011322167,0.000014055171,0.0018311979],"genre_scores_gemma":[0.99776053,0.0007636729,0.00024729897,0.000027656168,0.000008478439,0.000015909618,0.0008027604,0.0000038540798,0.00036994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985003,0.000023687082,0.000017856704,0.000050222316,0.000038424507,0.00001981003],"domain_scores_gemma":[0.99924207,0.00013648096,0.00034376388,0.000029786464,0.0001916457,0.000056201832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031371543,0.000121915065,0.00015246986,0.0006819272,0.00016755829,0.00041736788,0.00017535874,0.00018115829,0.00092700595],"category_scores_gemma":[0.0010312785,0.000075330274,0.00016022772,0.00085183745,0.00020530305,0.0003265765,0.0004723024,0.00015006117,0.00013717597],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040648953,0.000044011373,0.92965734,0.00042476333,0.00024354938,0.00039963357,0.00067745347,0.001981893,0.032406554,0.00047297397,0.00060363446,0.032681618],"study_design_scores_gemma":[0.0000011186373,0.000045022163,0.99780184,0.0000089282,0.0000121547955,0.000046725094,0.00021187842,0.0003770814,0.00073897664,0.00007847617,0.00067346764,0.0000043687924],"about_ca_topic_score_codex":0.00724305,"about_ca_topic_score_gemma":0.00975732,"teacher_disagreement_score":0.00724305,"about_ca_system_score_codex":0.00043933193,"about_ca_system_score_gemma":0.00025000173,"threshold_uncertainty_score":0.014401734},"labels":[],"label_agreement":null},{"id":"W2153220869","doi":"10.5194/bg-10-2761-2013","title":"UV/PAR radiation and DOM properties in surface coastal waters of the Canadian shelf of the Beaufort Sea during summer 2009","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Spectral slope; Environmental science; Photosynthetically active radiation; Arctic; Oceanography; Surface water; Seawater; Thermokarst; Environmental chemistry; Beaufort sea; Phytoplankton; Chemistry; Geology; Spectral line; Nutrient","score_opus":0.010006592559917638,"score_gpt":0.16277718245254177,"score_spread":0.15277058989262413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153220869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99578744,0.0003011201,0.000088165594,0.00006747993,0.000008972758,0.000012666184,0.0019110903,0.000012836774,0.0018101968],"genre_scores_gemma":[0.9960239,0.00015367262,0.00034384598,0.00008209735,0.000006014036,0.000010605483,0.001776629,0.0000063950315,0.0015967063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997743,0.000008115538,0.00000692202,0.00005687703,0.000096878786,0.00005697747],"domain_scores_gemma":[0.99957186,0.00001665924,0.000048323913,0.000011308967,0.00028072874,0.00007104585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019690584,0.00042188607,0.00030006457,0.0006437451,0.0021998335,0.0008826817,0.0004837557,0.0003412329,0.0011160674],"category_scores_gemma":[0.00032604233,0.00022850362,0.00031617124,0.0013159328,0.00042933552,0.00029405078,0.0003368393,0.00031957874,0.00019028228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034453277,0.000037035075,0.9663598,0.00008366887,0.00013692626,0.00030548172,0.0011273392,0.00069539115,0.015705204,0.000088124085,0.0016837313,0.013432834],"study_design_scores_gemma":[0.0000019391916,0.000007928372,0.9984706,0.000004646523,0.0000086860155,0.000021814765,0.00027178225,0.00020953771,0.00025579226,0.0000028337827,0.0007391733,0.0000053377976],"about_ca_topic_score_codex":0.9840635,"about_ca_topic_score_gemma":0.9937686,"teacher_disagreement_score":0.015936494,"about_ca_system_score_codex":0.0103480285,"about_ca_system_score_gemma":0.0058329604,"threshold_uncertainty_score":0.075080514},"labels":[],"label_agreement":null},{"id":"W2153381660","doi":"10.5194/bg-8-17-2011","title":"Microbiology and atmospheric processes: research challenges concerning the impact of airborne micro-organisms on the atmosphere and climate","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":195,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Institut National de la Recherche Agronomique; European Science Foundation","keywords":"Atmosphere (unit); Atmospheric chemistry; Environmental science; Biosphere; Radiative forcing; Astrobiology; Climate change; Ecology; Atmospheric sciences; Earth science; Biology; Meteorology; Geography; Physics; Geology","score_opus":0.07242001075172505,"score_gpt":0.27117881563474794,"score_spread":0.1987588048830229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153381660","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.008790488,0.7528271,0.008173064,0.21218222,0.0044970247,0.000030732153,0.00013674317,0.00007374743,0.013288814],"genre_scores_gemma":[0.16161115,0.76605016,0.016080521,0.028986877,0.02129937,0.00012246161,0.00014178375,0.00007116374,0.0056364695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966928,0.0014111513,0.00020174337,0.0006179726,0.0007499822,0.0003264304],"domain_scores_gemma":[0.9872442,0.008644329,0.0007414537,0.00078924623,0.0015065672,0.0010742816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008105162,0.0011831564,0.0034603062,0.0018879537,0.0027655882,0.010364405,0.002656975,0.01016173,0.0076300907],"category_scores_gemma":[0.007235565,0.0005391953,0.001297748,0.0025837056,0.012325363,0.017108819,0.007016525,0.010215653,0.0019471248],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023801763,0.00042801458,0.009396572,0.007467288,0.00038316246,0.0009963522,0.0033510919,0.006960076,0.007937358,0.5275031,0.05435023,0.38098875],"study_design_scores_gemma":[0.000028965798,0.0002911026,0.010402529,0.001881257,0.000094729505,0.0006868796,0.007949298,0.0036448205,0.00109188,0.69095874,0.28278038,0.00018939262],"about_ca_topic_score_codex":0.004516172,"about_ca_topic_score_gemma":0.004570203,"teacher_disagreement_score":0.010364405,"about_ca_system_score_codex":0.002440585,"about_ca_system_score_gemma":0.00471688,"threshold_uncertainty_score":0.04286468},"labels":[],"label_agreement":null},{"id":"W2153815449","doi":"10.5194/bg-10-1717-2013","title":"Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":912,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Soil carbon; Carbon cycle; Environmental science; Biome; Carbon fibers; Latitude; Atmospheric sciences; Climatology; Soil science; Soil water; Ecosystem; Geology; Mathematics; Ecology","score_opus":0.04349283805524305,"score_gpt":0.22240798089508615,"score_spread":0.1789151428398431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153815449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955942,0.00016548361,0.0013637968,0.00014692583,0.000021037915,0.000014174007,0.0014790277,0.0002072184,0.0010080852],"genre_scores_gemma":[0.9980439,0.0000196379,0.0004501647,0.000023681032,0.000004098821,0.000008671645,0.0013724142,0.000039066177,0.00003845263],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99857354,0.00052298105,0.00012515219,0.00046750935,0.00020881202,0.000102020174],"domain_scores_gemma":[0.9954223,0.0024668295,0.0005714481,0.0006894361,0.0006915624,0.00015832036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041636257,0.0005980594,0.0004223277,0.00093262,0.00038911836,0.0010271296,0.0008097837,0.00080398674,0.00063681515],"category_scores_gemma":[0.011294569,0.0004385453,0.0007981502,0.0011113003,0.00039206812,0.0007297947,0.0006514408,0.0006147192,0.00013999672],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004221158,0.0001681025,0.6001007,0.00014399509,0.00073627854,0.00026981023,0.0002802084,0.37751418,0.0052218777,0.0016253649,0.0028901824,0.010627243],"study_design_scores_gemma":[0.00016209256,0.000097572476,0.3642207,0.000042189917,0.00011118372,0.00011957212,0.00015513146,0.6276133,0.0043518087,0.0013037783,0.001758257,0.000064434724],"about_ca_topic_score_codex":0.013830869,"about_ca_topic_score_gemma":0.010180959,"teacher_disagreement_score":0.013830869,"about_ca_system_score_codex":0.0013189694,"about_ca_system_score_gemma":0.00046098232,"threshold_uncertainty_score":0.027500749},"labels":[],"label_agreement":null},{"id":"W2153947148","doi":"10.5194/bg-11-3095-2014","title":"The net exchange of methane with high Arctic landscapes during the summer growing season","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of Waterloo; University of Alberta","funders":"Natural Resources Canada; Aboriginal Affairs and Northern Development Canada; University of Alberta; Parks Canada","keywords":"Wetland; Environmental science; Eddy covariance; Permafrost; Soil water; Hydrology (agriculture); Growing season; Methanogenesis; Ecosystem; Temperate climate; Methane; Atmospheric sciences; Arctic; Greenhouse gas; Ecology; Soil science; Geology","score_opus":0.021865702547077752,"score_gpt":0.21895777793540552,"score_spread":0.19709207538832776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153947148","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875474,0.000088796594,0.000116377574,0.000009970923,0.000002212877,0.0000015361004,0.00033466102,0.0000045647603,0.00068704726],"genre_scores_gemma":[0.99899334,0.000048593563,0.00016785186,0.00001166705,0.0000025665577,0.0000035365906,0.0004156561,0.0000033607191,0.0003533146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994767,0.000007086487,0.0000016044086,0.0000167699,0.000011934233,0.000015002766],"domain_scores_gemma":[0.999869,0.000020934996,0.00002801193,0.000006280654,0.000044373013,0.000031438274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010770218,0.00016686393,0.0001713536,0.0002122388,0.0004919213,0.0004957998,0.00013364755,0.00011066171,0.0006482843],"category_scores_gemma":[0.00016452788,0.00011818948,0.00011425796,0.00026748894,0.00013036467,0.00018839643,0.00017906484,0.00013612717,0.00010729206],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004789017,0.00004076975,0.9086061,0.00003410393,0.00007679264,0.00011016719,0.0003111974,0.00043475858,0.080164686,0.00006135951,0.0003413224,0.009339876],"study_design_scores_gemma":[7.4028856e-7,0.0000081068765,0.9989749,7.7391513e-7,0.0000031071634,0.000011552078,0.00004974231,0.0002101554,0.00059164775,0.0000043493787,0.0001438411,0.0000010150904],"about_ca_topic_score_codex":0.12999088,"about_ca_topic_score_gemma":0.2749871,"teacher_disagreement_score":0.12999088,"about_ca_system_score_codex":0.0007004748,"about_ca_system_score_gemma":0.00044118587,"threshold_uncertainty_score":0.2584685},"labels":[],"label_agreement":null},{"id":"W2154206419","doi":"10.5194/bg-8-3041-2011","title":"Distribution of typical denitrifying functional genes and diversity of the <i>nirS</i> -encoding bacterial community related to environmental characteristics of river sediments","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fundamental Research Funds for the Central Universities","keywords":"Denitrifying bacteria; Sediment; Denitrification; Nitrate; Environmental chemistry; Nitrite reductase; Environmental science; Estuary; Ecology; Nitrogen; Biology; Nitrite; Chemistry","score_opus":0.027927251782178752,"score_gpt":0.19656275861019684,"score_spread":0.1686355068280181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154206419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998754,0.00008136858,0.00041597185,0.0000071292643,7.6816207e-7,0.000005085109,0.0002771143,0.000008242862,0.00045036923],"genre_scores_gemma":[0.99748945,0.000064102736,0.0008784157,0.000013142401,0.0000018606552,0.00001454272,0.0008348092,0.0000040479567,0.0006995701],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998605,0.0000144704845,0.000012180663,0.00006496332,0.00003211143,0.00001577799],"domain_scores_gemma":[0.9997477,0.00003079714,0.00008598199,0.000008378297,0.000080321704,0.00004691316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000148009,0.00025314695,0.00019229826,0.0006762188,0.00017221109,0.00035894974,0.00011265699,0.00017545088,0.0008846831],"category_scores_gemma":[0.00021680561,0.00020745579,0.000114388335,0.00049580855,0.00018360172,0.00026798644,0.00029006487,0.0001590726,0.00020744967],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015558806,0.000032163614,0.21298727,0.00011557802,0.000036462632,0.00015939017,0.00041091407,0.00027329844,0.777742,0.0000737985,0.00006213331,0.0079514375],"study_design_scores_gemma":[0.0000030026486,0.000095321055,0.9820256,0.0000055256874,0.000010856712,0.00016499603,0.00020163039,0.00071980146,0.016305655,0.00003235573,0.00042638122,0.000008885268],"about_ca_topic_score_codex":0.0013193231,"about_ca_topic_score_gemma":0.0013738038,"teacher_disagreement_score":0.0013193231,"about_ca_system_score_codex":0.00010289881,"about_ca_system_score_gemma":0.00011496341,"threshold_uncertainty_score":0.0029595494},"labels":[],"label_agreement":null},{"id":"W2155038261","doi":"10.5194/bg-12-7223-2015","title":"Carbon dynamics in highly heterotrophic subarctic thaw ponds","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Finland; Societas Biologica Fennica Vanamo","keywords":"Dissolved organic carbon; Subarctic climate; Thermokarst; Bacterioplankton; Environmental science; Phototroph; Permafrost; Heterotroph; Microbial food web; Water column; Biomass (ecology); Carbon cycle; Environmental chemistry; Algae; Total organic carbon; Nutrient; Ecology; Phytoplankton; Ecosystem; Chemistry; Photosynthesis; Biology; Botany; Bacteria","score_opus":0.04887506774762602,"score_gpt":0.24391967723517782,"score_spread":0.1950446094875518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155038261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995431,0.000036881127,0.000034995188,0.0000043061873,7.205021e-7,0.0000025718766,0.00018560661,0.000003260366,0.0001885926],"genre_scores_gemma":[0.99903834,0.000046143075,0.00012546171,0.000013992868,0.0000010660872,0.0000044925146,0.00035930387,0.0000024857366,0.00040878143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999335,0.0000045689017,0.0000025664874,0.00002371148,0.000012882479,0.000022760742],"domain_scores_gemma":[0.9998203,0.00001842914,0.000042896132,0.0000074215304,0.000057625482,0.00005342482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010215148,0.00023761239,0.00023504034,0.0002723433,0.000638963,0.00052712834,0.00023073275,0.00015097411,0.00070136116],"category_scores_gemma":[0.0001376973,0.000114946415,0.00011415885,0.0003227585,0.0003102867,0.00022028752,0.0002595566,0.0001746244,0.00010662401],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006980202,0.00009409286,0.64668286,0.00007014976,0.000055577988,0.00024705578,0.0006461492,0.0014139169,0.3431897,0.00009341869,0.00020206573,0.0066070305],"study_design_scores_gemma":[0.000008866524,0.00008667547,0.9907935,0.0000032774553,0.00001075196,0.000030906474,0.00032840573,0.0016504421,0.0066535026,0.000019510659,0.00040930824,0.0000049617156],"about_ca_topic_score_codex":0.23359168,"about_ca_topic_score_gemma":0.35323465,"teacher_disagreement_score":0.23359168,"about_ca_system_score_codex":0.0027193478,"about_ca_system_score_gemma":0.0009266744,"threshold_uncertainty_score":0.46446407},"labels":[],"label_agreement":null},{"id":"W2155209822","doi":"10.5194/bg-12-399-2015","title":"North America's net terrestrial CO <sub>2</sub> exchange with the atmosphere 1990–2009","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Oak Ridge National Laboratory; Biological and Environmental Research; National Aeronautics and Space Administration; Office of Science; UT-Battelle; Battelle; U.S. Department of Energy","keywords":"Environmental science; Greenhouse gas; Biosphere; Sink (geography); Carbon cycle; Atmospheric sciences; Representative Concentration Pathways; Fossil fuel; Primary production; Terrestrial ecosystem; Carbon sink; Carbon dioxide; Atmosphere (unit); Climate change; Ecosystem; Meteorology; Ecology; Climate model; Geography; Oceanography; Geology; Biology","score_opus":0.011758609823427944,"score_gpt":0.20107008110786004,"score_spread":0.1893114712844321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155209822","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.806784,0.009914123,0.0034140795,0.0024831893,0.00020622447,0.000028785948,0.13280445,0.00047929335,0.04388595],"genre_scores_gemma":[0.9458729,0.0031611556,0.0032529947,0.00027467267,0.00007911003,0.000037038364,0.04231703,0.00007446377,0.0049306625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998944,0.000011525862,0.0000068715462,0.000035105983,0.000040868184,0.000011184659],"domain_scores_gemma":[0.99969745,0.000025229967,0.000081833394,0.000016638438,0.00016753741,0.000011289094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016085304,0.00030689867,0.00016061135,0.0007965401,0.00021141254,0.0006909539,0.00014423579,0.00015330475,0.0013748732],"category_scores_gemma":[0.00035536595,0.00013113079,0.00024074476,0.0019357188,0.00012083824,0.00052714744,0.00022212304,0.00029532603,0.00032458745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004954007,0.00007655458,0.65529346,0.0015375563,0.0014588741,0.00027895486,0.0007569493,0.029574854,0.013390689,0.0057049836,0.10261285,0.18881887],"study_design_scores_gemma":[0.000010538814,0.0000138107325,0.94343615,0.000056119894,0.000102556485,0.00008054703,0.0001888702,0.0037004352,0.002878216,0.00056634296,0.048946697,0.00001978081],"about_ca_topic_score_codex":0.28023174,"about_ca_topic_score_gemma":0.36073926,"teacher_disagreement_score":0.7197683,"about_ca_system_score_codex":0.0019313084,"about_ca_system_score_gemma":0.0010856144,"threshold_uncertainty_score":0.55720127},"labels":[],"label_agreement":null},{"id":"W2155578105","doi":"10.5194/bg-6-2611-2009","title":"From laboratory manipulations to Earth system models: scaling calcification impacts of ocean acidification","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; European Commission; Royal Society","keywords":"Ocean acidification; Coccolithophore; Emiliania huxleyi; Carbon cycle; Carbonate; Mesocosm; Global change; Oceanography; Climate change; Paleoceanography; Dominance (genetics); Total inorganic carbon; Calcification; Environmental science; Ecology; Atmospheric sciences; Carbon dioxide; Chemistry; Biology; Geology; Phytoplankton; Ecosystem; Nutrient","score_opus":0.025652924291851835,"score_gpt":0.2434132178347711,"score_spread":0.21776029354291926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155578105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7572092,0.004772366,0.20811532,0.0048362687,0.0005809118,0.00020337495,0.0024900287,0.001227554,0.020564929],"genre_scores_gemma":[0.96915966,0.002149183,0.026273482,0.00043805444,0.00013594802,0.000278288,0.00058803096,0.00016045348,0.0008168137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961543,0.00025293775,0.000022757407,0.00006257801,0.000028633202,0.00001771115],"domain_scores_gemma":[0.99709904,0.0021530497,0.00024724865,0.00030017286,0.00012405239,0.0000764578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015864334,0.0005832951,0.00070707983,0.000533675,0.0003551644,0.0012239103,0.0010175995,0.00085754594,0.0022816458],"category_scores_gemma":[0.0063898405,0.00034714057,0.0011080471,0.0005027671,0.0011278157,0.0014169201,0.0013823411,0.0015846277,0.00023414877],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068290174,0.000060508082,0.008201495,0.00025069146,0.00037425765,0.00007907337,0.00010227859,0.96123475,0.0020103676,0.018051554,0.0012133601,0.008353378],"study_design_scores_gemma":[0.00007048583,0.0001448796,0.0038496973,0.00006082967,0.00014366306,0.000016460255,0.00008089406,0.9647356,0.0008487195,0.027487965,0.0025159623,0.000044889526],"about_ca_topic_score_codex":0.012333451,"about_ca_topic_score_gemma":0.0065397085,"teacher_disagreement_score":0.012333451,"about_ca_system_score_codex":0.00092433364,"about_ca_system_score_gemma":0.00061092415,"threshold_uncertainty_score":0.024523318},"labels":[],"label_agreement":null},{"id":"W2156073152","doi":"10.5194/bg-11-4897-2014","title":"Assessing the spatial variability in peak season CO <sub>2</sub> exchange characteristics across the Arctic tundra using a light response curve parameterization","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University","funders":"Sixth Framework Programme; Smithsonian Environmental Research Center; Darwin Center for Biogeosciences; Energistyrelsen; National Aeronautics and Space Administration; NordForsk; Norges Forskningsråd; Academy of Finland; Svenska Forskningsrådet Formas; Bioforsk; Aarhus Universitet; U.S. Department of Energy; European Commission; Crafoordska Stiftelsen; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Sciences and Engineering Research Council of Canada; Smithsonian Institution; National Science Foundation","keywords":"Tundra; Arctic; Environmental science; Irradiance; Atmospheric sciences; Arctic vegetation; Eddy covariance; Growing season; Ecosystem; Climatology; Ecology; Biology; Physics; Geology","score_opus":0.04773542269766691,"score_gpt":0.2965538543680729,"score_spread":0.24881843167040602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156073152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960283,0.000038541188,0.0030571658,0.0000074714503,0.0000016545741,0.0000042665292,0.0004400159,0.000074582764,0.0003479989],"genre_scores_gemma":[0.9979867,0.000014554216,0.0010726741,0.0000037952243,0.0000013247209,0.0000049875293,0.0008086844,0.000013928544,0.000093417824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998609,0.00003550276,0.000008238575,0.000057219288,0.000023305936,0.0000148321515],"domain_scores_gemma":[0.9995937,0.00011058542,0.00008208924,0.00007897803,0.00010951721,0.00002513288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004922431,0.00032044703,0.00020948284,0.00069926324,0.00017870734,0.0004771722,0.00018187135,0.00022127668,0.00050988526],"category_scores_gemma":[0.0007001441,0.000106414154,0.0003493848,0.00064698036,0.00009354409,0.00021848961,0.00013371129,0.0001353813,0.00017703745],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003046782,0.000084869855,0.8814254,0.000042002248,0.00026945822,0.00007075753,0.00011592702,0.05218641,0.036731515,0.00009041822,0.00029348495,0.028385244],"study_design_scores_gemma":[0.000004955393,0.00004398094,0.9118846,0.0000046006585,0.000033044096,0.00007571967,0.000090325346,0.08237532,0.0049605398,0.00004337446,0.0004698706,0.000013609206],"about_ca_topic_score_codex":0.022297977,"about_ca_topic_score_gemma":0.025501164,"teacher_disagreement_score":0.022297977,"about_ca_system_score_codex":0.00038598225,"about_ca_system_score_gemma":0.00019877958,"threshold_uncertainty_score":0.04433638},"labels":[],"label_agreement":null},{"id":"W2156394399","doi":"10.5194/bg-12-1131-2015","title":"A global carbon assimilation system based on a dual optimization method","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Carbon sink; Environmental science; Carbon flux; Boreal; Carbon cycle; Sink (geography); Atmospheric sciences; Flux (metallurgy); Ecosystem; Global change; Latitude; Primary production; Deciduous; Climatology; Ecology; Climate change; Chemistry; Biology; Geography; Geology","score_opus":0.014768695516626233,"score_gpt":0.2394208500556538,"score_spread":0.22465215453902757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156394399","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048333555,0.00022534237,0.9449197,0.00018097463,0.00009841889,0.00009129557,0.0002417255,0.0010054285,0.0049035205],"genre_scores_gemma":[0.5244431,0.00012357088,0.46996048,0.00015907845,0.00006675259,0.00038914912,0.00054975756,0.00010911334,0.0041990844],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974984,0.00008131132,0.000016645277,0.000073581075,0.00005485003,0.000023714385],"domain_scores_gemma":[0.99975485,0.000066758126,0.000024930185,0.000030153216,0.000100259706,0.00002315281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071436906,0.0007143721,0.0010994028,0.00034469113,0.0005981381,0.000726679,0.00081706385,0.0008490236,0.001535994],"category_scores_gemma":[0.0006742066,0.00048764187,0.0008568125,0.00043527296,0.00039507283,0.00048102843,0.0009589219,0.00090118224,0.00042941145],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007954134,0.000050753806,0.001519055,0.000037228794,0.000101099475,0.000043121832,0.000032338703,0.9526547,0.004707696,0.003052157,0.0009706226,0.036751676],"study_design_scores_gemma":[0.0000062112244,0.0000059086874,0.00007175178,7.578946e-7,0.0000029264882,0.0000018086954,6.8072e-7,0.9993923,0.00014304699,0.0001778621,0.00019435381,0.0000022929737],"about_ca_topic_score_codex":0.012286919,"about_ca_topic_score_gemma":0.009295853,"teacher_disagreement_score":0.012286919,"about_ca_system_score_codex":0.0006545313,"about_ca_system_score_gemma":0.001129705,"threshold_uncertainty_score":0.024430811},"labels":[],"label_agreement":null},{"id":"W2156582807","doi":"10.5194/bg-9-1479-2012","title":"Peat decomposition records in three pristine ombrotrophic bogs in southern Patagonia","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":214,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ombrotrophic; Peat; Bog; Decomposition; Humus; Environmental chemistry; Organic matter; Deposition (geology); Sphagnum; Boreal; Chemistry; Geology; Soil science; Soil water; Ecology; Geomorphology; Organic chemistry; Biology","score_opus":0.014275628188309972,"score_gpt":0.24434300778521442,"score_spread":0.23006737959690446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2156582807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993198,0.00006813364,0.00005083113,0.0000068110344,8.0796804e-7,0.000005999527,0.00021832393,0.000005989488,0.00032326244],"genre_scores_gemma":[0.99916494,0.00005469856,0.00017732463,0.000008796008,0.0000013488086,0.000012320347,0.00040606078,0.0000023738523,0.00017225223],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999088,0.00001497094,0.0000073904453,0.000029951148,0.000013893104,0.000024876972],"domain_scores_gemma":[0.9998367,0.000018915269,0.000060283794,0.000012143027,0.000037664566,0.000034229837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015906259,0.00026299097,0.00025680143,0.0008290767,0.00046361054,0.00054212916,0.00027936295,0.00022871941,0.0004551729],"category_scores_gemma":[0.00022120705,0.00024251154,0.0002167872,0.00083064917,0.00035768244,0.00016536145,0.00041358254,0.0001513304,0.00012351465],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038854562,0.00005345716,0.96229607,0.000098660435,0.00011668626,0.00084127433,0.0024239887,0.00043850546,0.021695623,0.00004081742,0.00015584414,0.011450455],"study_design_scores_gemma":[0.0000025154495,0.000017392724,0.9991953,0.0000034441455,0.0000057674515,0.00005848058,0.00029217263,0.00010682141,0.00013649135,0.0000055465457,0.00017455795,0.0000016512491],"about_ca_topic_score_codex":0.054107547,"about_ca_topic_score_gemma":0.09250627,"teacher_disagreement_score":0.054107547,"about_ca_system_score_codex":0.00048942864,"about_ca_system_score_gemma":0.0003013906,"threshold_uncertainty_score":0.10758519},"labels":[],"label_agreement":null},{"id":"W2157168154","doi":"10.5194/bg-8-1291-2011","title":"Optimizing models of the North Atlantic spring bloom using physical, chemical and bio-optical observations from a Lagrangian float","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration; National Science Foundation","keywords":"Diatom; Bloom; Spring bloom; Environmental science; Zooplankton; Replicate; Phytoplankton; Oceanography; Flux (metallurgy); Lagrangian; Atmosphere (unit); Spring (device); Mixed layer; Atmospheric sciences; Geology; Meteorology; Biology; Ecology; Physics; Nutrient; Chemistry","score_opus":0.051442594718023905,"score_gpt":0.19797964784089303,"score_spread":0.14653705312286913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157168154","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770429,0.00013256252,0.02000731,0.00029128074,0.00002183733,0.000058194626,0.0003823289,0.00014339318,0.0019201556],"genre_scores_gemma":[0.9892981,0.00004859977,0.008952158,0.00005808305,0.000009353697,0.0000731745,0.00046360365,0.000039146915,0.001057785],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981433,0.00006871864,0.000011928283,0.00004848619,0.000018430346,0.000038089926],"domain_scores_gemma":[0.9986324,0.0008653513,0.00019884619,0.000057936122,0.00014647575,0.000099119155],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001460498,0.0012537785,0.0007855544,0.00053260283,0.000601144,0.0011843989,0.0010886033,0.001535796,0.0007001003],"category_scores_gemma":[0.0022957996,0.0010845398,0.0013662025,0.00031777314,0.0009019429,0.0006465122,0.00069530966,0.0007922212,0.0001299417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017011513,0.000016953047,0.0014989009,0.00000387499,0.000017528264,0.000007291463,0.0000053476338,0.9978229,0.00012687485,0.0000758992,0.000029007379,0.00037847983],"study_design_scores_gemma":[0.000013524938,0.000013310454,0.0005526216,0.000001696688,0.000005898823,0.0000011690183,0.0000041113394,0.9992416,0.00006969465,0.000071934024,0.000021158932,0.000003365092],"about_ca_topic_score_codex":0.088933505,"about_ca_topic_score_gemma":0.050657474,"teacher_disagreement_score":0.088933505,"about_ca_system_score_codex":0.0024825078,"about_ca_system_score_gemma":0.0023428113,"threshold_uncertainty_score":0.17683172},"labels":[],"label_agreement":null},{"id":"W2157626500","doi":"10.5194/bg-11-635-2014","title":"Climate and atmospheric drivers of historical terrestrial carbon uptake in the province of British Columbia, Canada","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of British Columbia; Canadian Forest Service; Pacific Institute for Climate Solutions; University of Victoria","funders":"Natural Resources Canada; University of Toronto; Pacific Institute for Climate Solutions; University of Victoria; Canadian Natural Resources Limited","keywords":"Environmental science; Carbon sink; Climate change; Sink (geography); Carbon dioxide in Earth's atmosphere; Ecosystem; Carbon dioxide; Terrestrial ecosystem; Atmospheric sciences; Carbon cycle; Physical geography; Climatology; Hydrology (agriculture); Ecology; Geography; Geology","score_opus":0.00411837454452821,"score_gpt":0.15936290480735843,"score_spread":0.15524453026283022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157626500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97983885,0.0012859037,0.00022881656,0.0010498844,0.000022124374,0.000022211007,0.010969555,0.000052060976,0.006530623],"genre_scores_gemma":[0.9963922,0.00043637565,0.000117373216,0.00003838361,0.0000025436552,0.000005840103,0.0016615111,0.000008138447,0.0013377394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998104,0.000014095301,0.000010789508,0.000033773613,0.000045803685,0.00008514331],"domain_scores_gemma":[0.9990037,0.00007837709,0.000077080775,0.000021131233,0.0006159253,0.0002037901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002618763,0.00030251648,0.00030024943,0.0012845803,0.0017948981,0.0014763015,0.00079148175,0.00038968615,0.0038120756],"category_scores_gemma":[0.0011452324,0.00025173125,0.00037237967,0.003255091,0.00046456628,0.0003626238,0.00049570436,0.00055951974,0.00028682017],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012790751,0.000048842492,0.97044736,0.00009038008,0.00014581147,0.00029890848,0.00037418888,0.009198908,0.0009885109,0.0009911809,0.005944046,0.011343876],"study_design_scores_gemma":[0.000019969142,0.000007979255,0.9852123,0.00005364286,0.000055065946,0.0000566272,0.0010729211,0.009071558,0.00014684434,0.00015800606,0.0041192435,0.00002594786],"about_ca_topic_score_codex":0.9984225,"about_ca_topic_score_gemma":0.99899083,"teacher_disagreement_score":0.03186243,"about_ca_system_score_codex":0.03186243,"about_ca_system_score_gemma":0.025702761,"threshold_uncertainty_score":0.23117918},"labels":[],"label_agreement":null},{"id":"W2157862131","doi":"10.5194/bg-9-3131-2012","title":"Characterization of turbulence from a fine-scale parameterization and microstructure measurements in the Mediterranean Sea during the BOUM experiment","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval","funders":"Centre National de la Recherche Scientifique","keywords":"Eddy; Turbulence kinetic energy; Pycnocline; Turbulence; Geology; Transect; Atmospheric sciences; Internal wave; Eddy diffusion; Climatology; Oceanography; Environmental science; Meteorology; Physics","score_opus":0.01974088026806193,"score_gpt":0.21287780908451437,"score_spread":0.19313692881645245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157862131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937767,0.000015899652,0.00024269187,0.0000087735,0.0000041764774,0.0000069853368,0.00019788335,0.000010051434,0.00013593854],"genre_scores_gemma":[0.9982266,0.000017252007,0.0007341311,0.000018056617,0.000007184029,0.00003201954,0.0007535777,0.000008690968,0.00020256278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999806,0.00005224311,0.000009073912,0.00005058127,0.000034778623,0.00004731205],"domain_scores_gemma":[0.9996555,0.00006299157,0.00006166279,0.000055762805,0.00007067287,0.00009347307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006539966,0.00047575927,0.000502914,0.0004626642,0.0004892587,0.00035254916,0.00025309,0.00048546807,0.0003485501],"category_scores_gemma":[0.0006127946,0.00016270042,0.00031410716,0.00023296097,0.00027529354,0.00024435812,0.0005378682,0.0003885068,0.00012245965],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035547405,0.0008890569,0.595664,0.00008607765,0.00022609251,0.00045295176,0.0009865959,0.0025742918,0.37672326,0.00028217316,0.0010080215,0.01755276],"study_design_scores_gemma":[0.00003471479,0.00070387276,0.9872909,0.0000043472455,0.000026256428,0.00003106429,0.0001200744,0.0028949138,0.008165616,0.000029330324,0.00068475766,0.000014159459],"about_ca_topic_score_codex":0.0059284917,"about_ca_topic_score_gemma":0.009639627,"teacher_disagreement_score":0.0059284917,"about_ca_system_score_codex":0.0003324927,"about_ca_system_score_gemma":0.00015811477,"threshold_uncertainty_score":0.011787951},"labels":[],"label_agreement":null},{"id":"W2158189180","doi":"10.5194/bg-6-1849-2009","title":"Forest floor carbon exchange of a boreal black spruce forest in eastern North America","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université Laval","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; BIOCAP Canada; Canadian Foundation for Climate and Atmospheric Sciences; Université Laval","keywords":"Forest floor; Sphagnum; Environmental science; Black spruce; Taiga; Soil respiration; Picea abies; Vapour Pressure Deficit; Photosynthesis; Hydrology (agriculture); Atmospheric sciences; Ecology; Peat; Soil water; Transpiration; Botany; Soil science; Biology; Geology","score_opus":0.009597211700509823,"score_gpt":0.2056569458229553,"score_spread":0.19605973412244548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158189180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996151,0.000033765635,0.000064661785,0.0000032939774,6.7775306e-7,0.0000022784532,0.00014301368,0.000005340059,0.0001317422],"genre_scores_gemma":[0.99909604,0.000038755057,0.00032362525,0.000010400764,0.000002007171,0.0000069367725,0.00035305903,0.0000023568566,0.000166739],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994063,0.000009496747,0.0000027530727,0.000023590572,0.000013484258,0.00001012165],"domain_scores_gemma":[0.9998715,0.00001878672,0.000040408468,0.000008646858,0.000029321349,0.00003138503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014691113,0.00026761164,0.00018986165,0.00034183887,0.00041523267,0.00026342538,0.00015480483,0.00012959153,0.00036585602],"category_scores_gemma":[0.00013326158,0.00010939669,0.00011508418,0.00028401305,0.00015109639,0.00021991941,0.00017879425,0.000092978386,0.000073494004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002387736,0.000078474855,0.9602553,0.00004292561,0.0000921452,0.00019269856,0.0008498469,0.00058083393,0.026186623,0.000023377834,0.00019389401,0.0112650655],"study_design_scores_gemma":[0.0000012737411,0.000010430497,0.9993574,0.0000011804111,0.0000043733166,0.000023793655,0.00008433653,0.00027167186,0.0001500738,0.0000047980766,0.000089298956,0.000001276756],"about_ca_topic_score_codex":0.061109774,"about_ca_topic_score_gemma":0.19638881,"teacher_disagreement_score":0.061109774,"about_ca_system_score_codex":0.00031758688,"about_ca_system_score_gemma":0.00021697061,"threshold_uncertainty_score":0.12150818},"labels":[],"label_agreement":null},{"id":"W2158704307","doi":"10.5194/bg-11-2341-2014","title":"Changes in soil organic carbon storage predicted by Earth system models during the 21st century","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":402,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Bjerknessenteret for klimaforskning, Universitetet i Bergen; Met Office; U.S. Department of Energy; Office of Science; Department for Environment, Food and Rural Affairs, UK Government; National Science Foundation","keywords":"Soil carbon; Coupled model intercomparison project; Environmental science; Tundra; Biome; Radiative forcing; Carbon sink; Climate change; Carbon cycle; Atmospheric sciences; Sink (geography); Q10; Boreal; Representative Concentration Pathways; Climatology; Carbon dioxide; Climate model; Ecosystem; Soil science; Chemistry; Soil water; Ecology; Oceanography; Geography; Geology","score_opus":0.01667102132919507,"score_gpt":0.18844567358740733,"score_spread":0.17177465225821226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158704307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965868,0.0001361745,0.0009917323,0.00015480604,0.000015574155,0.000003972339,0.0012351782,0.000060377297,0.0008153696],"genre_scores_gemma":[0.9985929,0.000074534866,0.00033661484,0.00002818842,0.0000062356594,0.000004287223,0.0008312219,0.000010860579,0.00011520046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999772,0.00006195824,0.00001927911,0.00008127963,0.000032046486,0.000033435856],"domain_scores_gemma":[0.9994667,0.00018146877,0.0001330422,0.0000769082,0.00009580057,0.00004607147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091946387,0.00046889178,0.00032867573,0.0005008729,0.0002757551,0.0008184111,0.0004524698,0.00050579873,0.0006839461],"category_scores_gemma":[0.0020529854,0.00030387248,0.0010326776,0.0006846893,0.00032620213,0.0006998422,0.0003623969,0.00035113553,0.0001506754],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013872322,0.00004763511,0.23095155,0.000045685327,0.0004926088,0.000091322785,0.000051763072,0.76097184,0.0018075118,0.001093624,0.0007764309,0.0035314285],"study_design_scores_gemma":[0.00008695047,0.0000632709,0.16139795,0.000017926686,0.00013295033,0.00006110662,0.00006557122,0.83375007,0.0012970758,0.0014945604,0.0015916221,0.00004088842],"about_ca_topic_score_codex":0.03490695,"about_ca_topic_score_gemma":0.022102294,"teacher_disagreement_score":0.03490695,"about_ca_system_score_codex":0.0013115979,"about_ca_system_score_gemma":0.0006744784,"threshold_uncertainty_score":0.06940752},"labels":[],"label_agreement":null},{"id":"W2159123566","doi":"10.5194/bg-12-4085-2015","title":"Detection and attribution of global change effects on river nutrient dynamics in a large Mediterranean basin","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Generalitat de Catalunya; Canadian Institute for Advanced Research","keywords":"Environmental science; Climate change; Mediterranean Basin; Structural basin; Nutrient; Mediterranean climate; Drainage basin; Hydrology (agriculture); Water quality; Global change; Driving factors; Temporal scales; Physical geography; Ecology; Geography; Geology","score_opus":0.02026835988830686,"score_gpt":0.23710294402819873,"score_spread":0.21683458413989187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159123566","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993086,0.00006358142,0.00014265685,0.00003333311,0.0000029353241,0.0000042549027,0.00014101487,0.000008610121,0.0002949639],"genre_scores_gemma":[0.9994449,0.00004781223,0.00024621238,0.000011282583,0.00000416257,0.0000044999315,0.00018515403,0.0000028417626,0.00005298725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997322,0.00007198142,0.00002446773,0.000104333594,0.000037205293,0.000029845103],"domain_scores_gemma":[0.9992022,0.00021231847,0.00023391233,0.000111139656,0.00015422107,0.00008613512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091565,0.00023844688,0.00028993684,0.00112634,0.00024666308,0.0006709453,0.0002537373,0.000378837,0.00035341704],"category_scores_gemma":[0.0019143787,0.00013851482,0.00031921457,0.0010789082,0.0004978217,0.00046079015,0.0006312573,0.00016130476,0.000059384744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087017186,0.00003301156,0.9815232,0.000028186187,0.00013590796,0.00014185895,0.00034958604,0.0019124129,0.003070309,0.000112339054,0.00022436945,0.012381679],"study_design_scores_gemma":[0.0000033304211,0.000013886764,0.99731976,0.0000035019775,0.000008543076,0.000011211695,0.00011594823,0.0022095684,0.00007516871,0.000047370708,0.00018923021,0.000002472576],"about_ca_topic_score_codex":0.03284936,"about_ca_topic_score_gemma":0.033205576,"teacher_disagreement_score":0.03284936,"about_ca_system_score_codex":0.00080650696,"about_ca_system_score_gemma":0.00053550204,"threshold_uncertainty_score":0.06531632},"labels":[],"label_agreement":null},{"id":"W2159594456","doi":"10.5194/bg-10-2915-2013","title":"The Unified North American Soil Map and its implication on the soil organic carbon stock in North America","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Geostatistics and Mapping","field":"Environmental Science","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Soil carbon; Environmental science; Topsoil; Soil science; Soil horizon; Soil map; Soil organic matter; Subsoil; Soil survey; Histosol; Soil series; Digital soil mapping; Soil classification; Hydrology (agriculture); Soil biodiversity; Geology; Soil water","score_opus":0.011058617032189473,"score_gpt":0.21004497384897702,"score_spread":0.19898635681678756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159594456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8282721,0.004484701,0.0044356403,0.002279208,0.0001693175,0.00009855785,0.13157012,0.00041972942,0.028270608],"genre_scores_gemma":[0.9537561,0.0014352754,0.0074580503,0.00020157632,0.000051016126,0.00009954722,0.03524003,0.0000277345,0.001730708],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996736,0.00007453006,0.000027893304,0.00005829297,0.000116958625,0.000048844406],"domain_scores_gemma":[0.9977469,0.00019605854,0.0002422166,0.00008804899,0.0015807812,0.0001461442],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007475772,0.00020861141,0.00014990328,0.003024644,0.00031448505,0.0007559122,0.00030744774,0.000178813,0.0021928803],"category_scores_gemma":[0.0020049813,0.000091842165,0.00015566617,0.007748216,0.00019907736,0.00056429784,0.00048120273,0.00017107837,0.00022999608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000092590635,0.00004572549,0.86372155,0.00029898458,0.00012258453,0.0001642858,0.00031142385,0.0043674633,0.0007152384,0.0028805584,0.03749365,0.0897859],"study_design_scores_gemma":[0.000005782152,0.000007257966,0.9773432,0.000061353814,0.000028373543,0.000030746072,0.0003932835,0.0038605318,0.00013941768,0.00036324665,0.017756728,0.000010017683],"about_ca_topic_score_codex":0.42357582,"about_ca_topic_score_gemma":0.41045004,"teacher_disagreement_score":0.5764242,"about_ca_system_score_codex":0.0013408898,"about_ca_system_score_gemma":0.0017712084,"threshold_uncertainty_score":0.84222066},"labels":[],"label_agreement":null},{"id":"W2160600461","doi":"10.5194/bg-12-1091-2015","title":"Carbon dioxide flux and net primary production of a boreal treed bog: Responses to warming and water-table-lowering simulations of climate change","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":99,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; Imperial Oil (Canada); St. Mary's University; University of Calgary","funders":"Alberta Innovates; University of Calgary","keywords":"Environmental science; Bog; Primary production; Boreal; Peat; Carbon sink; Sink (geography); Taiga; Hydrology (agriculture); Carbon dioxide; Sphagnum; Water table; Climate change; Ecosystem; Ecology; Geology; Oceanography","score_opus":0.026269362195167883,"score_gpt":0.24801546866184468,"score_spread":0.2217461064666768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160600461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99928087,0.000023588365,0.00013593573,0.000029670442,0.000010062747,0.000003793129,0.00022065936,0.000020098056,0.00027546618],"genre_scores_gemma":[0.9995426,0.000009149824,0.00018732218,0.000010516999,0.0000027002754,0.0000059035824,0.00017788801,0.0000033672072,0.000060500322],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991345,0.000027557655,0.0000060031243,0.000022439837,0.000007524523,0.00002302895],"domain_scores_gemma":[0.9996618,0.000114691036,0.00004618191,0.00002677013,0.000050362443,0.00010005887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003746354,0.00047772564,0.00031109416,0.00021737172,0.0003320533,0.00051980285,0.0005101193,0.0005935167,0.00076817255],"category_scores_gemma":[0.00059136446,0.00021276317,0.00077376235,0.00018131176,0.00045236805,0.00033567482,0.00026952822,0.0004060142,0.00006936906],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00331706,0.0012799778,0.23205875,0.00014892922,0.00037040547,0.00041825234,0.00012744374,0.7155824,0.04006891,0.00079342304,0.0010803671,0.0047541847],"study_design_scores_gemma":[0.00032428044,0.0005797982,0.23215933,0.000010047219,0.000099325196,0.000046773464,0.000120977995,0.76223224,0.003509121,0.00038683615,0.00048060244,0.00005069248],"about_ca_topic_score_codex":0.037176847,"about_ca_topic_score_gemma":0.02276726,"teacher_disagreement_score":0.037176847,"about_ca_system_score_codex":0.0006830667,"about_ca_system_score_gemma":0.0004060862,"threshold_uncertainty_score":0.073920906},"labels":[],"label_agreement":null},{"id":"W2161312838","doi":"10.5194/bg-10-3661-2013","title":"The fate of riverine nutrients on Arctic shelves","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":122,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"Institut national des sciences de l'Univers; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; Canada Research Chairs; Agence Nationale de la Recherche; ArcticNet; European Space Agency","keywords":"Phytoplankton; Environmental science; Oceanography; Nitrate; Photic zone; Arctic; Upwelling; Nutrient; Biogeochemistry; Plankton; Colored dissolved organic matter; Dissolved organic carbon; Geology; Ecology; Biology","score_opus":0.009800347082285426,"score_gpt":0.19851193616437565,"score_spread":0.18871158908209024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161312838","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852556,0.00023254567,0.00008194601,0.000023903322,0.0000051166803,0.000001000593,0.00042218537,0.000002548319,0.00070524454],"genre_scores_gemma":[0.99855846,0.00029375692,0.0001318459,0.000018030232,0.0000039628244,0.0000030864685,0.0005156755,0.0000048719503,0.00047028143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989295,0.000021478721,0.0000070567103,0.000035134904,0.00002604096,0.000017403756],"domain_scores_gemma":[0.9995988,0.000048084734,0.00010228585,0.000019055888,0.00018345218,0.0000482873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029344723,0.00030385453,0.0003079309,0.00046328295,0.0008032986,0.0011819038,0.0002129846,0.00021555382,0.000753514],"category_scores_gemma":[0.00044317494,0.00018800488,0.00022700505,0.000501618,0.00031054774,0.00038278877,0.0006415503,0.00025889179,0.0002100831],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026742852,0.000025951686,0.96847355,0.000052992807,0.00018704345,0.0002696363,0.00050665485,0.0024693361,0.014886054,0.0004732366,0.00039463904,0.0119934855],"study_design_scores_gemma":[0.0000041869034,0.00003503516,0.99343055,0.000029759483,0.000032937543,0.000060295868,0.00063171965,0.0019757703,0.001726981,0.00016310997,0.001900307,0.000009490644],"about_ca_topic_score_codex":0.044059042,"about_ca_topic_score_gemma":0.061402693,"teacher_disagreement_score":0.044059042,"about_ca_system_score_codex":0.0009544234,"about_ca_system_score_gemma":0.00043135224,"threshold_uncertainty_score":0.08760518},"labels":[],"label_agreement":null},{"id":"W2162098389","doi":"10.5194/bg-11-4443-2014","title":"Assessment on the rates and potentials of soil organic carbon sequestration in agricultural lands in Japan using a process-based model and spatially explicit land-use change inventories – Part 2: Future potentials","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"McGill University","keywords":"Carbon sequestration; Environmental science; Soil carbon; Agricultural land; Agriculture; Land use, land-use change and forestry; Land use; Stock (firearms); Crop rotation; Climate change; Greenhouse gas; Soil science; Soil water; Carbon dioxide; Geography; Ecology","score_opus":0.0406837621861032,"score_gpt":0.2554989942211879,"score_spread":0.21481523203508468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162098389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979755,0.000035356286,0.0011267914,0.000043138116,0.0000036634187,0.000012282208,0.00014870796,0.000017242306,0.0006372522],"genre_scores_gemma":[0.99902666,0.00003515713,0.00070333236,0.0000052989603,0.0000014135459,0.000013175942,0.0001132474,0.0000022865083,0.00009934921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978644,0.000080896076,0.00001757519,0.00004568811,0.000022448332,0.00004710668],"domain_scores_gemma":[0.99937373,0.0002744588,0.00008502589,0.000055503755,0.00014865989,0.00006263046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009628724,0.0006987506,0.00044005035,0.00042903953,0.0004201853,0.00065454503,0.0006599325,0.00067192013,0.0006360991],"category_scores_gemma":[0.0012394689,0.000370795,0.00093527045,0.0006093259,0.0004376526,0.0010283897,0.0004247277,0.00039968014,0.000056042358],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000097848315,0.00008953004,0.030753022,0.000030420244,0.00006910439,0.0001350612,0.000047235106,0.9653652,0.0012486605,0.00052877114,0.00009210575,0.001543141],"study_design_scores_gemma":[0.00003749223,0.0000705473,0.009471538,0.000003872442,0.000048407488,0.000013457833,0.00008545567,0.9893181,0.00059035164,0.0002254809,0.00011902139,0.000016318227],"about_ca_topic_score_codex":0.08592521,"about_ca_topic_score_gemma":0.04912562,"teacher_disagreement_score":0.08592521,"about_ca_system_score_codex":0.0019480573,"about_ca_system_score_gemma":0.0012680521,"threshold_uncertainty_score":0.17085016},"labels":[],"label_agreement":null},{"id":"W2162477567","doi":"10.5194/bg-10-7263-2013","title":"Phytoplankton community structure in the Lena Delta (Siberia, Russia) in relation to hydrography","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Alberta Agricultural Research Institute","keywords":"Phytoplankton; Permafrost; Oceanography; Delta; Arctic; River delta; Environmental science; Hydrography; Transect; Brackish water; Discharge; Climate change; Geology; Hydrology (agriculture); Nutrient; Ecology; Salinity; Geography; Drainage basin","score_opus":0.03343357460815715,"score_gpt":0.24137650397123503,"score_spread":0.20794292936307787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162477567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994911,0.00010646782,0.000020963878,0.000006601064,0.0000020491348,0.0000015991112,0.00019269476,0.0000015966395,0.00017695133],"genre_scores_gemma":[0.9992762,0.00007478788,0.00004611086,0.000007977914,0.000001795252,0.0000054624243,0.00040558464,0.0000010942887,0.00018096778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999114,0.000016856324,0.000009694999,0.000028656543,0.000016717397,0.000016696622],"domain_scores_gemma":[0.9998393,0.000022693663,0.000033609052,0.000009932354,0.000044570897,0.000049832088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002330563,0.00023505803,0.00031024974,0.00097116566,0.000570045,0.0005091286,0.00013275516,0.00016937844,0.0007767318],"category_scores_gemma":[0.0002269254,0.00016582898,0.00020110807,0.0006221181,0.00030114676,0.00020039831,0.00049045094,0.00013438336,0.00017783261],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010032583,0.000026960233,0.9877364,0.000025949765,0.00010292236,0.00012187938,0.0005036638,0.0002714339,0.006880953,0.00003234543,0.000093217706,0.0041040583],"study_design_scores_gemma":[0.0000013591977,0.000016018326,0.99954295,0.0000027678861,0.000005385065,0.00002331782,0.0001523288,0.000113701986,0.00005680187,0.0000061024098,0.000078262514,0.0000011432186],"about_ca_topic_score_codex":0.020472359,"about_ca_topic_score_gemma":0.025043366,"teacher_disagreement_score":0.020472359,"about_ca_system_score_codex":0.0005840408,"about_ca_system_score_gemma":0.00039706373,"threshold_uncertainty_score":0.040706396},"labels":[],"label_agreement":null},{"id":"W2163323074","doi":"10.5194/bg-9-5353-2012","title":"Nutritive and photosynthetic ecology of subsurface chlorophyll maxima in Canadian Arctic waters","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; ArcticNet","keywords":"Environmental science; Arctic; Irradiance; Chlorophyll a; Photosynthesis; Ecosystem; Primary production; Productivity; Water column; Nitrate; Primary productivity; Ecology; Oceanography; Chlorophyll; Ammonium; Nitrogen; Atmospheric sciences; Biology; Botany; Chemistry; Geology","score_opus":0.00933110890388215,"score_gpt":0.18706099877994517,"score_spread":0.17772988987606303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163323074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985366,0.00021161567,0.000063978034,0.000019604304,0.0000011788646,0.0000029880323,0.00029123112,0.000004233247,0.0008685538],"genre_scores_gemma":[0.9991673,0.00013197296,0.00017724404,0.000010731379,8.017652e-7,0.0000025073655,0.00026638535,0.0000029554863,0.0002399773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986553,0.000008528205,0.000003700682,0.000029656194,0.0000413932,0.000051258023],"domain_scores_gemma":[0.99977773,0.000012664451,0.00002801095,0.000004553106,0.00012470824,0.000052411506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023404251,0.000370152,0.00027159887,0.00081795384,0.0022212174,0.00066467846,0.00027378194,0.00019473865,0.00060163887],"category_scores_gemma":[0.00037601133,0.00024664003,0.00020670077,0.0009623904,0.00047165249,0.00023592182,0.0004229582,0.00016157445,0.00009883367],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061623513,0.00004010658,0.87105596,0.0001143424,0.0000853778,0.00016914144,0.0021976344,0.0011911759,0.10076862,0.00031148997,0.00058730226,0.022862546],"study_design_scores_gemma":[0.000002059941,0.000020961603,0.9976514,0.000005111977,0.000008390723,0.000030785977,0.00047742797,0.0003728471,0.00084931706,0.00002909162,0.00054693135,0.0000057050142],"about_ca_topic_score_codex":0.92797065,"about_ca_topic_score_gemma":0.9634248,"teacher_disagreement_score":0.07202935,"about_ca_system_score_codex":0.0069493176,"about_ca_system_score_gemma":0.0047281133,"threshold_uncertainty_score":0.14490706},"labels":[],"label_agreement":null},{"id":"W2163722959","doi":"10.5194/bg-10-1441-2013","title":"An analysis of the contrasting fates of locust swarms on the plains of North America and East Asia","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saskatchewan Ministry of Agriculture","funders":"Chinese Academy of Sciences; Loughborough University","keywords":"Locust; Outbreak; Nap; Migratory locust; Geography; Climate change; Ecology; Biology","score_opus":0.012534286991469459,"score_gpt":0.20036370965640418,"score_spread":0.18782942266493471,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163722959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99960965,0.00003877106,0.000028848995,0.0000048798747,5.582154e-7,0.0000017738662,0.0000808002,0.0000012782895,0.00023343286],"genre_scores_gemma":[0.9995328,0.000051001054,0.000061535444,0.0000047618,0.0000018780132,0.0000030476651,0.00023482891,0.0000010086206,0.00010911523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998827,0.000020964393,0.000009409402,0.000037152495,0.000026871772,0.000022937522],"domain_scores_gemma":[0.9995466,0.000072453215,0.00019206625,0.000023099956,0.00007830191,0.00008750918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020364413,0.00014950274,0.00018189338,0.0010259403,0.00030380732,0.00040907544,0.00013457725,0.00011667788,0.0006574904],"category_scores_gemma":[0.00035255708,0.00008578352,0.00020676503,0.0009578477,0.00025514283,0.00031863808,0.00029686678,0.00014418204,0.000074623946],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085229,0.000021687252,0.9867213,0.000018988329,0.000057049445,0.00017330247,0.0006857666,0.000090867026,0.008822737,0.000038435363,0.000057790996,0.0032268753],"study_design_scores_gemma":[4.846322e-7,0.000009507149,0.9994943,8.171913e-7,0.000005073657,0.00002445785,0.0002413917,0.00008476774,0.000084012674,0.0000055036016,0.000048717866,9.3302947e-7],"about_ca_topic_score_codex":0.00942962,"about_ca_topic_score_gemma":0.014800425,"teacher_disagreement_score":0.00942962,"about_ca_system_score_codex":0.00025760086,"about_ca_system_score_gemma":0.00017104085,"threshold_uncertainty_score":0.018749475},"labels":[],"label_agreement":null},{"id":"W2163842868","doi":"10.5194/bg-3-397-2006","title":"Black (pyrogenic) carbon: a synthesis of current knowledge and uncertainties with special consideration of boreal regions","year":2006,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":707,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Universität Zürich; McGill University","keywords":"Soot; Charcoal; Carbon black; Environmental chemistry; Sorption; Carbon fibers; Pyrolysis; Soil water; Taiga; Chemistry; Decomposition; Boreal; Environmental science; Adsorption; Organic chemistry; Soil science; Materials science; Geology; Combustion; Ecology","score_opus":0.012095761335654577,"score_gpt":0.22279777089281683,"score_spread":0.21070200955716226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163842868","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0019301785,0.9937064,0.0009132516,0.0012031439,0.0004651679,0.00000691199,0.00020965919,0.000030492653,0.0015348558],"genre_scores_gemma":[0.021255106,0.97380936,0.0021940442,0.00090503413,0.0010776314,0.000017990584,0.00039689543,0.000020080246,0.00032391006],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988294,0.00012753054,0.00018241304,0.00042642423,0.00035090253,0.00008326181],"domain_scores_gemma":[0.99374676,0.0027555584,0.0010689836,0.00029405294,0.0017437111,0.00039094168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044199415,0.0017177558,0.0018390671,0.0077362517,0.00086932804,0.0037073602,0.002336736,0.0019287659,0.0026686098],"category_scores_gemma":[0.0051440313,0.0007468349,0.0011526874,0.0072780037,0.0029774818,0.0072929636,0.002671401,0.0020134442,0.00070953683],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023113868,0.00007337383,0.0077795796,0.037486915,0.0003154092,0.000523986,0.00075474853,0.003254501,0.0039579254,0.0145498365,0.017938618,0.91313404],"study_design_scores_gemma":[0.000010862103,0.00022313886,0.030410854,0.019591002,0.00064474455,0.0011203084,0.001445678,0.0017121864,0.001959299,0.021895261,0.9208247,0.00016211791],"about_ca_topic_score_codex":0.009272349,"about_ca_topic_score_gemma":0.009297135,"teacher_disagreement_score":0.009272349,"about_ca_system_score_codex":0.0027977778,"about_ca_system_score_gemma":0.0038494477,"threshold_uncertainty_score":0.023375154},"labels":[],"label_agreement":null},{"id":"W2164144714","doi":"10.5194/bg-9-1797-2012","title":"Preformed and regenerated phosphate in ocean general circulation models: can right total concentrations be wrong?","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"Office of Science; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; European Commission; Compute Canada; U.S. Department of Energy; U.S. Department of Commerce; Princeton University; National Oceanic and Atmospheric Administration; Ford Motor Company","keywords":"Biogeochemical cycle; Nutrient; Phosphate; Environmental science; Chemistry; Environmental chemistry; Oceanography; Biological system; Ecology; Biology; Geology; Biochemistry","score_opus":0.01942600277745719,"score_gpt":0.20253243498794496,"score_spread":0.18310643221048778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164144714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9825707,0.0002002216,0.014124842,0.0011285286,0.000047914433,0.000014515711,0.00031178654,0.00018135065,0.0014201895],"genre_scores_gemma":[0.997424,0.00006144088,0.0020981752,0.00008262005,0.000012827436,0.0000049770033,0.00011074219,0.000030277657,0.00017491497],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992804,0.00043093157,0.000050540846,0.00010507751,0.000084347485,0.000048742197],"domain_scores_gemma":[0.99216753,0.005310449,0.00078309514,0.0006690494,0.0007231452,0.0003466548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00435789,0.00056175684,0.00060160796,0.0004555154,0.00046999735,0.0015929806,0.0011454659,0.0011189374,0.00067907234],"category_scores_gemma":[0.019669171,0.000490695,0.00062208076,0.00056898245,0.0013221955,0.002192567,0.0010002523,0.0009849106,0.00013522957],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020008047,0.000026422878,0.037373956,0.00003645387,0.00012232995,0.000063776286,0.00009562904,0.9530812,0.00067069236,0.003812606,0.0003817259,0.0041351165],"study_design_scores_gemma":[0.000057004636,0.000027060716,0.0030492241,0.00000982871,0.000016255153,0.000009647149,0.000030201658,0.9915105,0.00040543955,0.0047495402,0.00012400548,0.000011327566],"about_ca_topic_score_codex":0.035504054,"about_ca_topic_score_gemma":0.032453854,"teacher_disagreement_score":0.035504054,"about_ca_system_score_codex":0.0010948975,"about_ca_system_score_gemma":0.0012048004,"threshold_uncertainty_score":0.07059479},"labels":[],"label_agreement":null},{"id":"W2164783694","doi":"10.5194/bg-8-121-2011","title":"Formation and global distribution of sea-surface microlayers","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":315,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Office of Naval Research; Fisheries and Oceans Canada; Deutsche Forschungsgemeinschaft; ArcticNet","keywords":"Environmental science; Oceanography; Trophic level; Wind speed; Subtropics; Atmosphere (unit); Atmospheric sciences; Temperate climate; Climatology; Geology; Meteorology; Geography; Ecology; Biology","score_opus":0.01731558907123963,"score_gpt":0.19258144503739186,"score_spread":0.17526585596615224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164783694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875927,0.00024377048,0.00012464418,0.000013854096,0.0000014605203,0.0000013395049,0.00028239412,0.00001038394,0.0005629259],"genre_scores_gemma":[0.9990219,0.00012519883,0.00012910203,0.0000051797256,0.0000020627983,0.0000021747032,0.0005606858,0.0000028615202,0.00015086144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993825,0.0000057093625,0.00000383125,0.00003125969,0.0000068541103,0.000014123465],"domain_scores_gemma":[0.9997974,0.000024663594,0.00008348808,0.0000144385685,0.0000464441,0.000033568947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000107160966,0.00016662592,0.00014053371,0.0009699404,0.0001574133,0.00038261258,0.00009844885,0.00017838285,0.0010714567],"category_scores_gemma":[0.00021040766,0.00014287257,0.00018154546,0.00057065365,0.00019469057,0.00036056613,0.00038613813,0.00015036037,0.00023497087],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001950287,0.000012631684,0.9309906,0.00006211428,0.00015134136,0.00009826487,0.00027720118,0.00064817164,0.05426424,0.00024550024,0.00016182238,0.012893088],"study_design_scores_gemma":[0.0000028818495,0.000024646064,0.99752635,0.000004515214,0.000016793185,0.00006465887,0.00013139898,0.00041235756,0.0013731082,0.000058998863,0.00038107354,0.0000031823386],"about_ca_topic_score_codex":0.0017821608,"about_ca_topic_score_gemma":0.0023260145,"teacher_disagreement_score":0.0017821608,"about_ca_system_score_codex":0.00018010235,"about_ca_system_score_gemma":0.00006433525,"threshold_uncertainty_score":0.003584385},"labels":[],"label_agreement":null},{"id":"W2164916053","doi":"10.5194/bg-11-3635-2014","title":"Old carbon contributes to aquatic emissions of carbon dioxide in the Amazon","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; University of Nottingham; National Aeronautics and Space Administration; University of Lethbridge; Ohio State University; Bournemouth University; Sight Research UK","keywords":"Carbon cycle; Carbon dioxide; Carbon fibers; Carbonate; Amazon rainforest; Carbon dioxide in Earth's atmosphere; Weathering; Environmental science; Atmosphere (unit); Ecosystem; Earth science; Ecology; Geology; Chemistry; Paleontology; Biology; Geography; Meteorology; Materials science","score_opus":0.010647169946650147,"score_gpt":0.2040670254609049,"score_spread":0.19341985551425475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2164916053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724895,0.00040229177,0.00040617827,0.00016371271,0.000005036357,0.000004952317,0.00032910574,0.000016328337,0.0014234463],"genre_scores_gemma":[0.9994134,0.00015535131,0.00014900873,0.000018726481,0.000005258725,0.0000019088554,0.00008599801,0.000006860201,0.00016346129],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989307,0.000012067078,0.0000064704595,0.0000307489,0.00003474724,0.00002287009],"domain_scores_gemma":[0.99971074,0.0000567052,0.00007159888,0.000014185213,0.00010913309,0.00003753236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020649098,0.00022035452,0.00021940608,0.00048116903,0.00053597003,0.000537992,0.00024597498,0.00021414692,0.0012702111],"category_scores_gemma":[0.00050192844,0.00019122407,0.00014603668,0.0005136729,0.00034934186,0.00046796727,0.00042375366,0.00028169222,0.000113368784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015994617,0.000029887333,0.91002584,0.00016060371,0.00014611217,0.0007655398,0.0010577005,0.0012421607,0.06719678,0.0010268219,0.00023556076,0.017953148],"study_design_scores_gemma":[0.0000052316664,0.00002735152,0.9900358,0.000015393098,0.000041574207,0.00017630668,0.00045088242,0.0026699675,0.0037801801,0.00045605394,0.0023316382,0.000009661809],"about_ca_topic_score_codex":0.04584151,"about_ca_topic_score_gemma":0.08793984,"teacher_disagreement_score":0.04584151,"about_ca_system_score_codex":0.0009459308,"about_ca_system_score_gemma":0.00046170398,"threshold_uncertainty_score":0.09114939},"labels":[],"label_agreement":null},{"id":"W2165069559","doi":"10.5194/bg-9-235-2012","title":"A dynamic model of wetland extent and peat accumulation: results for the Holocene","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":189,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft","keywords":"Peat; Anoxic waters; Wetland; Water table; Environmental science; Holocene; Carbon cycle; Hydrology (agriculture); Carbon fibers; Geology; Physical geography; Soil science; Ecosystem; Ecology; Groundwater; Geography; Oceanography","score_opus":0.03878342534325576,"score_gpt":0.2830725259482072,"score_spread":0.24428910060495143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165069559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98800826,0.00026374208,0.005533219,0.00027056647,0.000025951487,0.000016269385,0.0014959029,0.00028287273,0.004103278],"genre_scores_gemma":[0.9968917,0.000090270674,0.0014489,0.000030561583,0.000008047026,0.000020445084,0.00070482783,0.000055459866,0.000749927],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999879,0.00003213972,0.000006699601,0.000029695197,0.000015420173,0.000037042824],"domain_scores_gemma":[0.9991887,0.00049332523,0.000056995115,0.000056478653,0.0001005578,0.00010402825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044279426,0.0006131636,0.0007653889,0.0004893354,0.00060832984,0.0009309079,0.0008753664,0.00094757206,0.0032962004],"category_scores_gemma":[0.0014084794,0.00043880558,0.0011569677,0.0006151329,0.00048109103,0.0007436543,0.00048549534,0.0009415456,0.00022557587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005197253,0.000039674822,0.005101303,0.000018747405,0.000040502546,0.00005321761,0.000011118694,0.99282235,0.00036651193,0.00035331346,0.00018400434,0.0009572745],"study_design_scores_gemma":[0.000028476694,0.000018734892,0.0022523482,0.0000035873356,0.000020729785,0.0000066590337,0.000013403111,0.9970722,0.00018900921,0.00018738119,0.00019974625,0.000007757421],"about_ca_topic_score_codex":0.114907086,"about_ca_topic_score_gemma":0.047550615,"teacher_disagreement_score":0.114907086,"about_ca_system_score_codex":0.0017733241,"about_ca_system_score_gemma":0.0012188241,"threshold_uncertainty_score":0.22847652},"labels":[],"label_agreement":null},{"id":"W2165188097","doi":"10.5194/bg-12-3385-2015","title":"Modelling the impact of riverine DON removal by marine bacterioplankton on primary production in the Arctic Ocean","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Bacterioplankton; Biogeochemical cycle; Arctic; Oceanography; Environmental science; Phytoplankton; Sea ice; Plankton; Microbial loop; Biogeochemistry; Ecology; Nutrient; Geology; Biology","score_opus":0.02061132127500143,"score_gpt":0.22120071218150492,"score_spread":0.2005893909065035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165188097","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522424,0.00019322142,0.0029982212,0.00007682564,0.000020424692,0.000009274938,0.00020193892,0.000029871815,0.0012459477],"genre_scores_gemma":[0.99795145,0.00012672803,0.0013677885,0.000022374415,0.0000057923544,0.000013907173,0.00013056901,0.000011234116,0.0003700791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998753,0.00003567375,0.000007920363,0.000032600114,0.000013365491,0.00003521916],"domain_scores_gemma":[0.99972254,0.00012802017,0.00004649043,0.00001340092,0.000040817464,0.00004875288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004069725,0.00085550157,0.0005370145,0.0002639133,0.0004893582,0.0009927035,0.0006435847,0.0010011628,0.0007495879],"category_scores_gemma":[0.0007393626,0.00050888455,0.00094599306,0.00026899402,0.00035017007,0.0004567868,0.00050579826,0.00050599047,0.00009840117],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007055211,0.00004011482,0.01590253,0.000037942187,0.00009092184,0.00006715899,0.000025123953,0.978564,0.0038194107,0.00035453538,0.000071752795,0.0009559675],"study_design_scores_gemma":[0.00002719796,0.00008138557,0.0069850585,0.0000069524694,0.000041587347,0.000009991487,0.00003342278,0.99163026,0.00079003605,0.00017527104,0.00020752786,0.000011273086],"about_ca_topic_score_codex":0.09197333,"about_ca_topic_score_gemma":0.04605345,"teacher_disagreement_score":0.09197333,"about_ca_system_score_codex":0.0017348223,"about_ca_system_score_gemma":0.0017088198,"threshold_uncertainty_score":0.18287599},"labels":[],"label_agreement":null},{"id":"W2165428633","doi":"10.5194/bg-9-2737-2012","title":"Global-scale pattern of peatland <i>Sphagnum</i> growth driven by photosynthetically active radiation and growing season length","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK; National Science Foundation","keywords":"Sphagnum; Peat; Environmental science; Growing season; Moss; Photosynthetically active radiation; Climate change; Atmospheric sciences; Biomass (ecology); Agronomy; Botany; Ecology; Biology; Photosynthesis; Physics","score_opus":0.005126657029184272,"score_gpt":0.2100840502668552,"score_spread":0.20495739323767093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165428633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98501146,0.010227299,0.0015544803,0.00017813283,0.00003400785,0.000006412821,0.0024128393,0.00010458615,0.00047065815],"genre_scores_gemma":[0.99776626,0.0006020043,0.00053361995,0.00004961664,0.000008510073,0.000004362758,0.00095700164,0.000016150943,0.00006243599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959224,0.00008978659,0.000028759874,0.00022594981,0.000028429124,0.00003481326],"domain_scores_gemma":[0.9991135,0.00027105774,0.00022952785,0.00019673942,0.00011301254,0.00007617456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013133548,0.00057850487,0.000794613,0.001594968,0.00020011439,0.0006971104,0.00046101637,0.00037565554,0.00054320245],"category_scores_gemma":[0.0007428713,0.00026747363,0.0027706826,0.0017062381,0.00035698919,0.00045921904,0.0005574591,0.00029494645,0.000108710985],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003450398,0.000023410446,0.93153965,0.0010176252,0.020554714,0.00018102782,0.00016794227,0.0021283624,0.032614652,0.0002772634,0.00044532225,0.010705009],"study_design_scores_gemma":[0.00001104885,0.000054102,0.992219,0.00004298252,0.0029349714,0.00006139103,0.000114735536,0.0021045476,0.001587189,0.00010638875,0.00074790645,0.000015749221],"about_ca_topic_score_codex":0.008880743,"about_ca_topic_score_gemma":0.007815075,"teacher_disagreement_score":0.008880743,"about_ca_system_score_codex":0.00029039747,"about_ca_system_score_gemma":0.00028595136,"threshold_uncertainty_score":0.017658114},"labels":[],"label_agreement":null},{"id":"W2165432951","doi":"10.5194/bg-11-6827-2014","title":"Local spatial structure of forest biomass and its consequences for remote sensing of carbon stocks","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":160,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Smithsonian Conservation Biology Institute; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; National Science Foundation","keywords":"Environmental science; Spatial variability; Remote sensing; Reducing emissions from deforestation and forest degradation; Spatial analysis; Carbon stock; Spatial ecology; Biomass (ecology); Forest plot; Replicate; Scale (ratio); Deforestation (computer science); Climate change; Ecology; Geography; Computer science; Statistics; Mathematics; Cartography","score_opus":0.011126204072319337,"score_gpt":0.23240670083966045,"score_spread":0.2212804967673411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165432951","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99654645,0.00009640443,0.0028208627,0.000016408214,0.0000020471525,0.0000046633095,0.00017429871,0.000018472194,0.0003205116],"genre_scores_gemma":[0.99922144,0.000010935991,0.0006086367,0.0000046592017,0.000001029799,0.0000030587746,0.00010939251,0.0000036821236,0.000037052756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99936396,0.00020356731,0.000052638465,0.00022587042,0.000102963764,0.000051029267],"domain_scores_gemma":[0.99737763,0.0013391754,0.0004852333,0.00038649217,0.00033392815,0.000077487166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014183768,0.0002518112,0.00027298697,0.00069469266,0.00025985474,0.00047854235,0.00034868417,0.00020251564,0.0005290948],"category_scores_gemma":[0.0032604465,0.00019297199,0.00027832855,0.0009866604,0.00046524455,0.00047149244,0.00047861718,0.00016709528,0.00013662991],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008536632,0.000032593398,0.95910966,0.00003774293,0.00010405287,0.00009772897,0.00018356854,0.013753515,0.016348505,0.00020410855,0.00009203921,0.0099510625],"study_design_scores_gemma":[0.0000025189163,0.000013206538,0.9825173,0.0000047022763,0.000013949149,0.00006979173,0.0000759991,0.015628919,0.0014207576,0.00015948982,0.00008637431,0.000006960723],"about_ca_topic_score_codex":0.008943857,"about_ca_topic_score_gemma":0.016973212,"teacher_disagreement_score":0.008943857,"about_ca_system_score_codex":0.00041323653,"about_ca_system_score_gemma":0.00016464951,"threshold_uncertainty_score":0.017783582},"labels":[],"label_agreement":null},{"id":"W2165990255","doi":"10.5194/bg-10-4383-2013","title":"Parameterization of vertical chlorophyll <i>a</i> in the Arctic Ocean: impact of the subsurface chlorophyll maximum on regional, seasonal, and annual primary production estimates","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":232,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Canada Excellence Research Chairs, Government of Canada; Centre National de la Recherche Scientifique; ArcticNet; Université Laval","keywords":"Oceanography; Arctic; Phytoplankton; Chlorophyll a; Bloom; Environmental science; Chlorophyll; Ocean color; Spring bloom; New production; Algal bloom; Pelagic zone; Primary production; Water column; Geology; Nutrient; Satellite; Biology; Ecosystem; Ecology","score_opus":0.012466084303000509,"score_gpt":0.20942377198769588,"score_spread":0.19695768768469538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165990255","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98630214,0.00026599265,0.011929703,0.000095309915,0.000010585326,0.0000091418015,0.0009053367,0.000110973095,0.00037081327],"genre_scores_gemma":[0.9962205,0.00008655849,0.002570699,0.000013188004,0.000004937401,0.0000066492985,0.001021528,0.000011841827,0.00006397188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99972767,0.00010956731,0.000019905621,0.00008431637,0.000025688449,0.000032813627],"domain_scores_gemma":[0.9989139,0.0006235606,0.00015687222,0.00010850822,0.00013982567,0.000057446545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016980303,0.000582887,0.00035452776,0.0005104355,0.00022730048,0.0008477895,0.00050729094,0.00060052006,0.0003324749],"category_scores_gemma":[0.0030154956,0.00033226926,0.00083891896,0.0005474957,0.0002649697,0.0005399112,0.00036652508,0.0003725322,0.000119768396],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008420958,0.00006338857,0.21603225,0.000052910273,0.00029438376,0.00007319801,0.000025689651,0.7688753,0.0032787523,0.0003173197,0.00035761573,0.010544947],"study_design_scores_gemma":[0.000004705364,0.000017279019,0.05743625,0.000012058823,0.00002321218,0.000020867397,0.000027375867,0.9414438,0.0006753075,0.00015101666,0.00017681485,0.0000112656435],"about_ca_topic_score_codex":0.07283032,"about_ca_topic_score_gemma":0.029908702,"teacher_disagreement_score":0.07283032,"about_ca_system_score_codex":0.00085843384,"about_ca_system_score_gemma":0.00083011866,"threshold_uncertainty_score":0.14481282},"labels":[],"label_agreement":null},{"id":"W2166166096","doi":"10.5194/bg-9-5217-2012","title":"Observed acidification trends in North Atlantic water masses","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministerio de Ciencia e Innovación; Centre National de la Recherche Scientifique; European Commission; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Ocean acidification; Oceanography; Subarctic climate; Environmental science; Ocean gyre; Water mass; Surface water; Aragonite; North Atlantic Deep Water; Climatology; Climate change; Geology; Thermohaline circulation; Ecology","score_opus":0.04476375936413679,"score_gpt":0.23936837225696497,"score_spread":0.19460461289282818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166166096","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792564,0.00020402165,0.000061652085,0.00002177711,0.0000041545304,0.0000020845612,0.00107285,0.0000065874947,0.00070112385],"genre_scores_gemma":[0.9982072,0.00014984891,0.00009108753,0.00001400259,0.000006014857,0.0000035618634,0.0012912425,0.0000014039904,0.00023551058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999918,0.000007343455,0.00000896226,0.000031347598,0.000020214184,0.000014119273],"domain_scores_gemma":[0.9996131,0.00003637621,0.00017065006,0.000026408865,0.00011937564,0.00003406218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000180753,0.0001365726,0.000120882025,0.0004334637,0.00020022602,0.0003444517,0.00009269183,0.00012565679,0.0006008301],"category_scores_gemma":[0.00037125588,0.00007136264,0.00014378745,0.00042386435,0.00013230085,0.00016776436,0.00022725842,0.00012785631,0.000121663405],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053084394,0.0000055109012,0.99091154,0.000018481922,0.000040723116,0.000031285912,0.00007145446,0.00019482571,0.005361761,0.00002037635,0.00014231178,0.0031486969],"study_design_scores_gemma":[4.316304e-7,0.000005974663,0.99952793,0.0000013460881,0.000002981956,0.000010072255,0.000014460691,0.00006066467,0.0002038424,0.00000295445,0.00016875648,7.2901605e-7],"about_ca_topic_score_codex":0.02134862,"about_ca_topic_score_gemma":0.041729756,"teacher_disagreement_score":0.02134862,"about_ca_system_score_codex":0.00043953257,"about_ca_system_score_gemma":0.00021344078,"threshold_uncertainty_score":0.0424487},"labels":[],"label_agreement":null},{"id":"W2166363415","doi":"10.5194/bg-5-1475-2008","title":"Peatlands and the carbon cycle: from local processes to global implications – a synthesis","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":969,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Peat; Environmental science; Boreal; Carbon cycle; Greenhouse gas; Context (archaeology); Climate change; Subarctic climate; Ecosystem; Physical geography; Trace gas; Carbon sequestration; Biogeochemistry; Global change; Global warming; Land cover; Hydrology (agriculture); Earth science; Atmospheric sciences; Land use; Ecology; Geography; Geology; Carbon dioxide","score_opus":0.010171681360735573,"score_gpt":0.22030583108101526,"score_spread":0.2101341497202797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2166363415","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004457055,0.9858402,0.0006420721,0.0034350934,0.00049662264,0.0000078942185,0.00012208597,0.000010728419,0.004988212],"genre_scores_gemma":[0.04508538,0.95178324,0.00044613876,0.0010459524,0.00084437453,0.000014117288,0.00012096761,0.000005916999,0.0006540062],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998222,0.00005890995,0.00002218588,0.00004453156,0.000030076955,0.000022195361],"domain_scores_gemma":[0.99872917,0.0009938111,0.00008936648,0.000042689793,0.00009422226,0.00005069234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009486543,0.0006227366,0.0011728711,0.0025449696,0.00038629092,0.0025683101,0.00037660735,0.0009566161,0.003944462],"category_scores_gemma":[0.0014567004,0.0002619994,0.00046255087,0.0051267752,0.0010669047,0.0030844586,0.001287882,0.0012575298,0.00037043233],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000317702,0.00015812604,0.0073126815,0.060216937,0.0010401275,0.0006918515,0.0032320824,0.017466849,0.0025989513,0.1441976,0.024160562,0.7386066],"study_design_scores_gemma":[0.000042184176,0.00030553277,0.052666582,0.048495498,0.0011288667,0.0004831101,0.0049589816,0.004019607,0.0008050746,0.21948515,0.66750324,0.00010625155],"about_ca_topic_score_codex":0.007095279,"about_ca_topic_score_gemma":0.015398062,"teacher_disagreement_score":0.007095279,"about_ca_system_score_codex":0.0020938285,"about_ca_system_score_gemma":0.0019619097,"threshold_uncertainty_score":0.015191793},"labels":[],"label_agreement":null},{"id":"W2167045801","doi":"10.5194/bg-7-2851-2010","title":"Deep, diverse and definitely different: unique attributes of the world's largest ecosystem","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":875,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Environment Research Council; Sight Research UK; Alfred P. Sloan Foundation; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Habitat; Biome; Ecosystem; Deep sea; Biodiversity; Biota; Ecology; Fauna; Oceanography; Geography; Earth science; Environmental science; Geology; Biology","score_opus":0.021337612701123002,"score_gpt":0.2282994010736397,"score_spread":0.2069617883725167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167045801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50675035,0.4242395,0.005405586,0.016709823,0.0011982282,0.00003108631,0.00228839,0.000076040014,0.043300986],"genre_scores_gemma":[0.8419124,0.14461622,0.003909532,0.0037424637,0.00048349603,0.000028137238,0.0013971768,0.000035777754,0.003874841],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998029,0.000045455305,0.000017248676,0.000051443007,0.000046621328,0.000036323207],"domain_scores_gemma":[0.99977106,0.000030435102,0.000059263733,0.000013771918,0.000046512287,0.000079075784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034416592,0.0002144851,0.00037928924,0.0007529871,0.0006763654,0.0023575423,0.00019355743,0.00029351944,0.0013240145],"category_scores_gemma":[0.0005278916,0.000086737775,0.00019121183,0.0017482443,0.00078555924,0.0021546315,0.0011882569,0.0006315206,0.0002674364],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023521908,0.000068724374,0.21758828,0.004305775,0.0005681176,0.0016276122,0.013282286,0.00043177634,0.012133026,0.030779619,0.033213332,0.6857662],"study_design_scores_gemma":[0.000009689839,0.00017024868,0.5636395,0.0017492409,0.00030284864,0.006148172,0.019980729,0.00026569577,0.0010573195,0.04549739,0.36106786,0.00011127785],"about_ca_topic_score_codex":0.0016935566,"about_ca_topic_score_gemma":0.003732087,"teacher_disagreement_score":0.0023575423,"about_ca_system_score_codex":0.00030760225,"about_ca_system_score_gemma":0.0006635291,"threshold_uncertainty_score":0.0044293404},"labels":[],"label_agreement":null},{"id":"W2167090336","doi":"10.5194/bg-6-1681-2009","title":"Growth phase dependent hydrogen isotopic fractionation in alkenone-producing haptophytes","year":2009,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Science Foundation","keywords":"Haptophyte; Emiliania huxleyi; Alkenone; Fractionation; Paleoceanography; Isotope fractionation; Nutrient; Oceanography; Environmental chemistry; Chemistry; Biology; Phytoplankton; Ecology; Sea surface temperature; Geology","score_opus":0.01127750440763428,"score_gpt":0.2599086056979759,"score_spread":0.24863110129034163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167090336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99864095,0.00011918359,0.0001522002,0.000009532073,0.0000018108639,0.0000071602685,0.0002582554,0.000005915021,0.00080498814],"genre_scores_gemma":[0.9968521,0.00017901613,0.00084804435,0.000035730463,0.0000036816662,0.000021708755,0.00071074616,0.00000738799,0.0013416789],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999169,0.000006757079,0.0000060828997,0.000034719476,0.000020264579,0.0000152533585],"domain_scores_gemma":[0.9998405,0.0000347647,0.000036316433,0.000017068227,0.00004564185,0.000025627602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010213824,0.00024607184,0.0001538036,0.00033342498,0.00025043616,0.00035943222,0.00016091994,0.00023189394,0.00057369017],"category_scores_gemma":[0.00016413709,0.00017874328,0.00015103446,0.00021927369,0.00021863694,0.00023279311,0.00039336292,0.00026892067,0.00021349208],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000965064,0.0000080943955,0.011364989,0.000023128758,0.000006021684,0.000051304487,0.00007615945,0.000057192876,0.9865811,0.000019355326,0.0000105122335,0.0017056526],"study_design_scores_gemma":[0.000011488729,0.0003853972,0.79219574,0.000010441032,0.000025958041,0.00021046629,0.00057479733,0.0006841594,0.20411699,0.00007636008,0.0016950977,0.000013116287],"about_ca_topic_score_codex":0.005328537,"about_ca_topic_score_gemma":0.007325025,"teacher_disagreement_score":0.005328537,"about_ca_system_score_codex":0.00029765948,"about_ca_system_score_gemma":0.00022309579,"threshold_uncertainty_score":0.010595024},"labels":[],"label_agreement":null},{"id":"W2168301855","doi":"10.5194/bg-12-4577-2015","title":"Predicting landscape-scale CO <sub>2</sub> flux at a pasture and rice paddy with long-term hyperspectral canopy reflectance measurements","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Center for Diagnosis and Research on Alzheimer's Disease","funders":"U.S. Department of Agriculture; National Institute of Food and Agriculture; Department of Water Resources; National Science Foundation","keywords":"Hyperspectral imaging; Eddy covariance; Canopy; Environmental science; Flux (metallurgy); Remote sensing; Predictability; Atmospheric sciences; Ecosystem; Mathematics; Ecology; Chemistry; Geography; Statistics; Biology; Geology","score_opus":0.02048371502574625,"score_gpt":0.23028455847817136,"score_spread":0.2098008434524251,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168301855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913836,0.000020092622,0.0005487331,0.000009441727,0.000001079433,0.0000020452103,0.00014277299,0.000026623147,0.000110770256],"genre_scores_gemma":[0.99840003,0.00001429402,0.0010975096,0.000004143259,0.0000016518968,0.000003875959,0.00039981608,0.000004437254,0.000074089636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998894,0.000016896156,0.00000517984,0.000061645,0.000013697129,0.000013273181],"domain_scores_gemma":[0.99968064,0.00011928742,0.00006968905,0.00003738555,0.00006324779,0.000029680614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053481874,0.00037793414,0.00025177133,0.0003368025,0.00025361756,0.00049430114,0.0003136969,0.00030329998,0.00022168382],"category_scores_gemma":[0.0005601077,0.00023754264,0.00031658568,0.00033864335,0.000156542,0.00043106143,0.0001414958,0.0002514199,0.00009453154],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021796585,0.00021373165,0.88353795,0.00003473274,0.0002057514,0.00013257252,0.00012346092,0.07668771,0.021530675,0.0000618858,0.00047927382,0.016774414],"study_design_scores_gemma":[0.000008984038,0.000039730723,0.77139926,0.000003882189,0.000033434455,0.000030177729,0.00008383781,0.22587693,0.002300401,0.00003670411,0.00017686083,0.000009815042],"about_ca_topic_score_codex":0.0500144,"about_ca_topic_score_gemma":0.085370846,"teacher_disagreement_score":0.0500144,"about_ca_system_score_codex":0.0006546124,"about_ca_system_score_gemma":0.00032325924,"threshold_uncertainty_score":0.099446595},"labels":[],"label_agreement":null},{"id":"W2168425559","doi":"10.5194/bg-8-3263-2011","title":"Recent global CO <sub>2</sub> flux inferred from atmospheric CO <sub>2</sub> observations and its regional analyses","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Terrestrial ecosystem; Ecosystem; Environmental science; Carbon cycle; Atmospheric sciences; Representative Concentration Pathways; Flux (metallurgy); Climatology; Sink (geography); Carbon flux; Climate change; Climate model; Oceanography; Ecology; Geography; Geology; Chemistry; Biology","score_opus":0.05902864641176235,"score_gpt":0.2617121377572758,"score_spread":0.20268349134551344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168425559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994601,0.0007607695,0.0014602232,0.000059917926,0.00001038726,0.0000038950634,0.0020524769,0.000060438913,0.0009908404],"genre_scores_gemma":[0.99439067,0.00031860027,0.0014148835,0.000022014952,0.0000111312875,0.00000579991,0.0036429914,0.000015051929,0.00017887817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999449,0.00000635836,0.0000033057595,0.000025134015,0.0000117516765,0.000008401797],"domain_scores_gemma":[0.9997749,0.000030151346,0.000047184054,0.00002151329,0.0001099749,0.000016281976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026256204,0.0003716105,0.00019599662,0.00087891717,0.00015291393,0.0003044272,0.00015108228,0.00024446042,0.00034104392],"category_scores_gemma":[0.0003112413,0.00017395103,0.00041171795,0.0010306122,0.00013386577,0.00034593669,0.00018130586,0.00019160753,0.00011490751],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003360759,0.000061279105,0.8714022,0.00024548534,0.00074445776,0.00020091572,0.00009277282,0.042172123,0.04725302,0.00046582133,0.0018938059,0.035132024],"study_design_scores_gemma":[0.000005105035,0.0000112034395,0.9806718,0.0000075398257,0.00010196136,0.000040449773,0.000018613418,0.014134539,0.0035685739,0.000071071365,0.0013554606,0.0000135996315],"about_ca_topic_score_codex":0.024346204,"about_ca_topic_score_gemma":0.03869606,"teacher_disagreement_score":0.024346204,"about_ca_system_score_codex":0.00046251912,"about_ca_system_score_gemma":0.0002290437,"threshold_uncertainty_score":0.048408985},"labels":[],"label_agreement":null},{"id":"W2168545956","doi":"10.5194/bg-10-929-2013","title":"Climate-related changes in peatland carbon accumulation during the last millennium","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":380,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dawson College; Université du Québec à Montréal; Memorial University of Newfoundland","funders":"Natural Environment Research Council; Sight Research UK; Quaternary Research Association; Past Global Changes; National Science Foundation","keywords":"Peat; Environmental science; Carbon sink; Carbon sequestration; Carbon cycle; Climate change; Primary production; Greenhouse gas; Permafrost; Global warming; Carbon fibers; Physical geography; Productivity; Atmospheric sciences; Climatology; Hydrology (agriculture); Ecology; Carbon dioxide; Ecosystem; Geology; Geography","score_opus":0.0122369857277844,"score_gpt":0.22613812141961964,"score_spread":0.21390113569183525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168545956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977823,0.0003646232,0.00018917918,0.000045608835,0.000006765469,0.0000012534663,0.0013052927,0.000013093496,0.0002918805],"genre_scores_gemma":[0.99879575,0.00015021018,0.0001442609,0.000010910867,0.000005569102,0.0000024596332,0.00077692384,0.0000029234366,0.000110996814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999167,0.000016655995,0.000009847537,0.000028212491,0.0000128155525,0.00001569293],"domain_scores_gemma":[0.9994837,0.00007660821,0.00025007816,0.000044773733,0.00009164082,0.00005316698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050271634,0.00016352223,0.00017427011,0.000637481,0.00015670732,0.0003336501,0.00013064193,0.0001599891,0.0005843571],"category_scores_gemma":[0.0010075258,0.000094940966,0.0002508192,0.0006430176,0.000105132014,0.00033778438,0.00034010332,0.00020356046,0.000103969855],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093062954,0.000020626736,0.98621225,0.00004127234,0.0002716485,0.00006539415,0.000073420575,0.0020437294,0.0026424213,0.00010036704,0.00033064082,0.008105157],"study_design_scores_gemma":[0.000001419428,0.000010576484,0.9985089,0.000004832727,0.000020457599,0.000049042945,0.000020895455,0.00073579827,0.0002878604,0.00003767504,0.00032014743,0.0000022949134],"about_ca_topic_score_codex":0.0062808003,"about_ca_topic_score_gemma":0.011251073,"teacher_disagreement_score":0.0062808003,"about_ca_system_score_codex":0.00027261532,"about_ca_system_score_gemma":0.00014747746,"threshold_uncertainty_score":0.012488484},"labels":[],"label_agreement":null},{"id":"W2168684237","doi":"10.5194/bg-8-1643-2011","title":"Constraining global methane emissions and uptake by ecosystems","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":323,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Environmental science; Ecosystem; Wetland; Soil water; Sink (geography); Atmospheric sciences; Methane; Terrestrial ecosystem; Peat; Hydrology (agriculture); Soil science; Ecology; Geology; Geography","score_opus":0.01803953062213849,"score_gpt":0.21831381098237454,"score_spread":0.20027428036023603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168684237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963851,0.00005267481,0.0022030233,0.000063456566,0.000004420543,0.0000036657484,0.00034056947,0.00003962132,0.00090752204],"genre_scores_gemma":[0.99900085,0.000017474458,0.000678013,0.0000105857725,0.0000015040977,0.000003481236,0.00023272116,0.0000073881506,0.00004793532],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99990046,0.000031983825,0.000004812432,0.000027865492,0.000011517362,0.000023350265],"domain_scores_gemma":[0.9997849,0.00011616346,0.000026993142,0.00002785061,0.000027563337,0.00001667287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033358965,0.0003552225,0.0002795468,0.00020675518,0.00023738823,0.00046318516,0.00032343806,0.0005799853,0.0005279263],"category_scores_gemma":[0.0010880838,0.0003029067,0.00053893693,0.00029935138,0.00029686085,0.00056172523,0.00033797152,0.00037738454,0.000060195394],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000460035,0.00002196793,0.021064103,0.000014927147,0.000041984888,0.000021527998,0.000011347715,0.9745447,0.0022804618,0.00038636778,0.000086919,0.0014796366],"study_design_scores_gemma":[0.000022113381,0.000022114184,0.019093748,0.0000041560943,0.000015720414,0.0000063404013,0.000017296281,0.97941554,0.00082004577,0.00042037122,0.00015229057,0.000010285826],"about_ca_topic_score_codex":0.040440843,"about_ca_topic_score_gemma":0.031662866,"teacher_disagreement_score":0.040440843,"about_ca_system_score_codex":0.00092489435,"about_ca_system_score_gemma":0.0005767145,"threshold_uncertainty_score":0.08041096},"labels":[],"label_agreement":null},{"id":"W2169123244","doi":"10.5194/bg-10-4879-2013","title":"Effects of vegetation heterogeneity and surface topography on spatial scaling of net primary productivity","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Nanjing University; Ministry of Science and Technology of the People's Republic of China","keywords":"Primary production; Environmental science; Scaling; Vegetation (pathology); Image resolution; Spatial heterogeneity; Carbon cycle; Atmospheric sciences; Productivity; Common spatial pattern; Spatial variability; Pixel; Remote sensing; Land cover; Spatial distribution; Spatial ecology; Greenhouse gas; Ecosystem; Geology; Land use; Mathematics; Physics; Geometry; Statistics; Ecology","score_opus":0.004895671783272181,"score_gpt":0.19192073334026438,"score_spread":0.1870250615569922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169123244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974947,0.000076828306,0.0018993504,0.000025979689,0.00000439424,0.0000048099228,0.00007093703,0.000031819964,0.0003912527],"genre_scores_gemma":[0.99960417,0.000021138289,0.0002890602,0.000003381078,0.0000012222177,0.0000017570602,0.000043253494,0.0000036991362,0.00003227246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997634,0.00007820888,0.000015382335,0.0000649149,0.000048132435,0.000029980285],"domain_scores_gemma":[0.99892586,0.00054874434,0.00017625856,0.00016050744,0.00013887211,0.00004982922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071884284,0.00023776536,0.00015598621,0.00034097163,0.00017947268,0.00039559178,0.00021707988,0.00014996418,0.00041454608],"category_scores_gemma":[0.0024614283,0.00019770632,0.00033339413,0.00036729043,0.00039668183,0.0003454473,0.00030088532,0.00014221581,0.00007206394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016058954,0.000061420076,0.6162427,0.00006995521,0.00024150123,0.00040547302,0.00014795331,0.3236517,0.029899934,0.00083029474,0.00033628748,0.027952185],"study_design_scores_gemma":[0.000018811992,0.000051557618,0.6024088,0.000007322997,0.000042686872,0.000087982844,0.000079062134,0.3933706,0.0031562936,0.0004896292,0.00026796263,0.00001931575],"about_ca_topic_score_codex":0.011584962,"about_ca_topic_score_gemma":0.009107339,"teacher_disagreement_score":0.011584962,"about_ca_system_score_codex":0.00047040248,"about_ca_system_score_gemma":0.00035132386,"threshold_uncertainty_score":0.02303505},"labels":[],"label_agreement":null},{"id":"W2169262584","doi":"10.5194/bg-5-281-2008","title":"Distribution of inorganic and organic nutrients in the South Pacific Ocean − evidence for long-term accumulation of organic matter in nitrogen-depleted waters","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Photic zone; Upwelling; Nitrate; Biogeochemical cycle; Oceanography; Nitrogen; Chlorophyll a; Nutrient; Silicic acid; Ammonium; Chlorophyll; Environmental chemistry; Environmental science; Chemistry; Phytoplankton; Geology; Biology; Botany; Ecology","score_opus":0.044843125733238086,"score_gpt":0.24589449352587725,"score_spread":0.20105136779263916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169262584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991879,0.00023908676,0.000036858386,0.000010135485,0.000001540811,0.000001745911,0.00017538128,0.0000026430819,0.00034475012],"genre_scores_gemma":[0.99884427,0.00022522439,0.00011184432,0.0000148389045,0.0000034843335,0.0000069405423,0.00046599467,0.0000029920159,0.00032440294],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993634,0.0000039788956,0.000006028736,0.000026014563,0.000017501532,0.000010114476],"domain_scores_gemma":[0.9997682,0.000025204914,0.000077266246,0.000011155169,0.000058975904,0.000059217236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009590805,0.00020432391,0.00014686785,0.0006139752,0.00032004493,0.00042330872,0.00018259593,0.00025457086,0.0009953324],"category_scores_gemma":[0.00020151192,0.0001767057,0.00015452906,0.00048453166,0.00037329015,0.00025914045,0.00034834497,0.00019898762,0.00025258522],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015327323,0.000026836906,0.8911807,0.000099698744,0.00006969479,0.0002485335,0.00039146838,0.00006639183,0.10286197,0.000024613875,0.0000638103,0.0048129763],"study_design_scores_gemma":[0.0000019052159,0.000020801494,0.9989386,0.0000033685665,0.0000050058648,0.000059281454,0.00014320189,0.00003298204,0.00061752164,0.000005595268,0.0001700795,0.0000016347385],"about_ca_topic_score_codex":0.011340705,"about_ca_topic_score_gemma":0.014101119,"teacher_disagreement_score":0.011340705,"about_ca_system_score_codex":0.00027650513,"about_ca_system_score_gemma":0.00028190343,"threshold_uncertainty_score":0.02254939},"labels":[],"label_agreement":null},{"id":"W2169652491","doi":"10.5194/bg-7-3851-2010","title":"Air-Sea CO <sub>2</sub> fluxes on the Scotian Shelf: seasonal to multi-annual variability","year":2010,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Canadian Foundation for Climate and Atmospheric Sciences; National Aeronautics and Space Administration; National Science Foundation","keywords":"Environmental science; Sink (geography); Outgassing; Oceanography; Sea surface temperature; Mooring; Flux (metallurgy); Climatology; Chlorophyll a; Buoy; Seawater; Upwelling; Atmospheric sciences; Geology; Geography; Chemistry","score_opus":0.011390891786920813,"score_gpt":0.21255204418056128,"score_spread":0.20116115239364046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169652491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949162,0.00018377604,0.0020763585,0.00005572628,0.0000131610195,0.000010690775,0.001274665,0.00015075569,0.0013185934],"genre_scores_gemma":[0.99791616,0.000041002495,0.0009340606,0.000009835804,0.000004635293,0.0000042061256,0.0006649433,0.000013890696,0.00041141253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999279,0.0000072579105,0.0000041747494,0.000025847121,0.00002125887,0.000013633329],"domain_scores_gemma":[0.99975663,0.00004043559,0.000045763412,0.000018649847,0.00011157727,0.000026964184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018810082,0.00026435603,0.00010621424,0.000444124,0.0001880757,0.00050253334,0.00015528237,0.00009596157,0.0006214044],"category_scores_gemma":[0.00040659035,0.00013347599,0.0001561526,0.00051751116,0.00014875902,0.00016504106,0.00015609468,0.00009568088,0.00013808135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015126295,0.000024493875,0.9113591,0.000035517216,0.00011371461,0.00019851139,0.000082774124,0.04918006,0.01139466,0.00026561884,0.0014820147,0.025712335],"study_design_scores_gemma":[0.000005772278,0.0000074114196,0.9169405,0.000005439091,0.000010041288,0.000032125627,0.000027596892,0.08114569,0.00088061276,0.000071079136,0.00086807297,0.0000056277117],"about_ca_topic_score_codex":0.28225845,"about_ca_topic_score_gemma":0.3415615,"teacher_disagreement_score":0.71774155,"about_ca_system_score_codex":0.0009559392,"about_ca_system_score_gemma":0.0005922226,"threshold_uncertainty_score":0.561231},"labels":[],"label_agreement":null},{"id":"W2169940054","doi":"10.5194/bg-10-6545-2013","title":"Site-specific climate analysis elucidates revegetation challenges for post-mining landscapes in eastern Australia","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Pasture and Agricultural Systems","field":"Agricultural and Biological Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Queensland","keywords":"Revegetation; Environmental science; Flooding (psychology); Context (archaeology); Climate change; Physical geography; Vegetation (pathology); Plateau (mathematics); Climatology; Hydrology (agriculture); Ecology; Geography; Geology; Ecological succession","score_opus":0.049831312164008296,"score_gpt":0.2504529262965333,"score_spread":0.20062161413252502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169940054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996989,0.00001144316,0.000052225212,0.0000048158,1.9631297e-7,0.0000026362322,0.00003739265,0.0000012078959,0.00019116711],"genre_scores_gemma":[0.9997564,0.000010754205,0.00008021615,0.0000023540954,4.3454872e-7,0.0000027540543,0.00005341102,5.660977e-7,0.000093067894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985254,0.000040681498,0.000012365765,0.000035071214,0.00002738305,0.00003186037],"domain_scores_gemma":[0.9995036,0.00007436397,0.00018803724,0.000043587268,0.0001040797,0.00008632971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032929896,0.000099260666,0.0001579966,0.0007074664,0.0003431387,0.00043965032,0.0002390852,0.00017711376,0.00064555823],"category_scores_gemma":[0.00095672504,0.00011364847,0.00015354643,0.000708884,0.00028399788,0.00028813715,0.00047437835,0.00013673314,0.000089606685],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004745718,0.00003146141,0.9882969,0.000021389034,0.00003310518,0.00015777595,0.001124927,0.0006055538,0.004176059,0.000057288245,0.00006295286,0.0053851553],"study_design_scores_gemma":[2.6750112e-7,0.000009883933,0.9992888,0.0000011772272,0.0000024598546,0.000026436071,0.00023947078,0.00032426606,0.000049241502,0.000009080582,0.00004817593,7.732176e-7],"about_ca_topic_score_codex":0.03049342,"about_ca_topic_score_gemma":0.091534235,"teacher_disagreement_score":0.03049342,"about_ca_system_score_codex":0.0005618765,"about_ca_system_score_gemma":0.00026519084,"threshold_uncertainty_score":0.06063181},"labels":[],"label_agreement":null},{"id":"W2170375547","doi":"10.5194/bg-8-1081-2011","title":"Height-diameter allometry of tropical forest trees","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":576,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Environment Research Council; Arnold Arboretum; Centre International de Recherches Médicales de Franceville; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Kementerian Sains, Teknologi dan Inovasi; James Cook University; European Commission; Smithsonian Tropical Research Institute; Royal Geographical Society; Ministério da Ciência, Tecnologia e Inovação; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Gordon and Betty Moore Foundation; Leverhulme Trust; Wildlife Conservation Society; Commonwealth Scientific and Industrial Research Organisation; Harvard University; Sight Research UK; Smithsonian Institution","keywords":"Pantropical; Allometry; Tree allometry; Tropics; Basal area; Biomass (ecology); Tropical and subtropical dry broadleaf forests; Dry season; Tropical climate; Geography; Vegetation (pathology); Wet season; Environmental science; Amazon rainforest; Ecology; Precipitation; Tropical Asia; Physical geography; Forestry; Biology; Meteorology","score_opus":0.020113831499793552,"score_gpt":0.2138552492229426,"score_spread":0.19374141772314907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170375547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956585,0.00017327534,0.00081372575,0.000007994424,0.0000022820882,0.000006871693,0.0021039508,0.00001698781,0.0012164192],"genre_scores_gemma":[0.9984509,0.00003842691,0.00038603644,0.000004866392,0.0000019832355,0.000005710708,0.0009930701,0.0000029080784,0.00011599363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998312,0.000035314868,0.000015262234,0.00006446184,0.00003073539,0.000023000432],"domain_scores_gemma":[0.9994506,0.00018696711,0.00017765345,0.00006216681,0.000072371266,0.00005029513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041439434,0.00014252913,0.00015691188,0.0007317931,0.0001595108,0.00033288373,0.00016778868,0.00009241152,0.0014369957],"category_scores_gemma":[0.0008858741,0.000094321476,0.00015193404,0.0010582493,0.00017043458,0.00027433617,0.00026801176,0.00011048763,0.00028059675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007048702,0.000009880921,0.9859805,0.000043780412,0.00005957708,0.000041098716,0.00020414367,0.0009681134,0.0034246647,0.0001236477,0.00031256911,0.008761529],"study_design_scores_gemma":[0.000001905474,0.000016384525,0.99857104,0.0000029801784,0.0000065110457,0.000097219956,0.000058818503,0.0006379366,0.00023853435,0.000050575483,0.0003157262,0.00000235143],"about_ca_topic_score_codex":0.0037121982,"about_ca_topic_score_gemma":0.005478446,"teacher_disagreement_score":0.0037121982,"about_ca_system_score_codex":0.00021154138,"about_ca_system_score_gemma":0.000080639315,"threshold_uncertainty_score":0.007381201},"labels":[],"label_agreement":null},{"id":"W2171509272","doi":"10.5194/bg-10-5533-2013","title":"Seasonal changes in photochemical properties of dissolved organic matter in small boreal streams","year":2013,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; Trent University","funders":"Natural Sciences and Engineering Research Council of Canada; Grantová Agentura České Republiky","keywords":"Dissolved organic carbon; Environmental science; Environmental chemistry; Boreal; STREAMS; Seasonality; Colored dissolved organic matter; Organic matter; Chemistry; Absorbance; Hydrology (agriculture); Photochemistry; Atmospheric sciences; Ecology; Phytoplankton; Nutrient; Geology","score_opus":0.01475241634390377,"score_gpt":0.1780815674627167,"score_spread":0.16332915111881294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171509272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99971646,0.000045396362,0.000042033807,0.000003712707,8.5859915e-7,0.000003578568,0.00008478237,0.0000026705538,0.00010048712],"genre_scores_gemma":[0.99961036,0.000035570956,0.00009015408,0.0000046729565,0.0000013330645,0.000004972211,0.00015816998,0.0000010080576,0.00009377518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992025,0.000009692588,0.0000066435305,0.000027423872,0.000020131774,0.000015776975],"domain_scores_gemma":[0.9997594,0.00004138695,0.00007942093,0.000006735454,0.000068504436,0.0000446222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021193325,0.0001908796,0.00022251478,0.0003996573,0.00046498718,0.0004966048,0.00015775439,0.0001796398,0.00027861926],"category_scores_gemma":[0.00034322505,0.00013602946,0.00012494194,0.00034602048,0.00024575673,0.00023062191,0.00011690998,0.00013802186,0.000043631226],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051645626,0.00014152238,0.9036606,0.000056182525,0.00006586412,0.00015128139,0.00052770984,0.00042345552,0.0885668,0.000032478983,0.000094045965,0.0057635554],"study_design_scores_gemma":[0.0000035338824,0.00004450316,0.99825686,0.000001120179,0.0000071455042,0.000026791644,0.0000899534,0.0002467518,0.0012212888,0.0000059650793,0.00009354137,0.0000024893864],"about_ca_topic_score_codex":0.079792425,"about_ca_topic_score_gemma":0.13212487,"teacher_disagreement_score":0.079792425,"about_ca_system_score_codex":0.0010402768,"about_ca_system_score_gemma":0.00038551728,"threshold_uncertainty_score":0.158656},"labels":[],"label_agreement":null},{"id":"W2171749901","doi":"10.5194/bg-11-4015-2014","title":"Greenland Ice Sheet exports labile organic carbon to the Arctic oceans","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":140,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Goddard Space Flight Center; Natural Environment Research Council; Sight Research UK; Leverhulme Trust; National Aeronautics and Space Administration","keywords":"Dissolved organic carbon; Greenland ice sheet; Surface runoff; Biogeochemical cycle; Total organic carbon; Glacier; Environmental science; Glacial period; Arctic; Meltwater; Sediment; Hydrology (agriculture); Oceanography; Environmental chemistry; Ice sheet; Geology; Chemistry; Ecology; Geomorphology","score_opus":0.015306637052341903,"score_gpt":0.20177189359880077,"score_spread":0.18646525654645887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171749901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996136,0.00032806574,0.000054423486,0.000046297147,0.0000067369106,0.000005556635,0.0015239236,0.00002397548,0.0018750319],"genre_scores_gemma":[0.99515104,0.0006070037,0.0003496653,0.00010900718,0.000022703007,0.00000925517,0.0026629828,0.00001787225,0.0010705596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999418,0.000004318876,0.0000030619403,0.000018156947,0.00001644223,0.000016144259],"domain_scores_gemma":[0.99988985,0.000010572018,0.00004126229,0.000006377297,0.000027383838,0.000024558396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009895805,0.00031846922,0.0002179501,0.0005282787,0.00044991568,0.0008332823,0.00008666973,0.00010442601,0.0013083832],"category_scores_gemma":[0.00013501658,0.00009067702,0.00014975328,0.00089760835,0.00013650152,0.00024351479,0.00033234182,0.00015162709,0.00024004569],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029902384,0.00008035955,0.7869922,0.00020006289,0.00014252486,0.0007353142,0.000633433,0.0018213065,0.16497456,0.00024754676,0.0022640568,0.04160957],"study_design_scores_gemma":[0.000007676119,0.000021851427,0.9936638,0.00001342558,0.000010967174,0.00005745177,0.00020418735,0.00047167295,0.0021164794,0.000053475153,0.0033755817,0.0000034724526],"about_ca_topic_score_codex":0.059327483,"about_ca_topic_score_gemma":0.0981399,"teacher_disagreement_score":0.059327483,"about_ca_system_score_codex":0.001172365,"about_ca_system_score_gemma":0.00067993364,"threshold_uncertainty_score":0.11796433},"labels":[],"label_agreement":null},{"id":"W2173082680","doi":"10.5194/bg-13-3225-2016","title":"Reconstructions of biomass burning from sediment-charcoal records to improve data–model comparisons","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":244,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Office of Integrative Activities; Division of Behavioral and Cognitive Sciences; Division of Emerging Frontiers; Université de Franche-Comté; Centre National de la Recherche Scientifique; National Science Foundation","keywords":"Charcoal; Context (archaeology); Environmental science; Biomass (ecology); Biomass burning; Fire regime; Global change; Climatology; Physical geography; Sediment; Climate change; Ecosystem; Meteorology; Geography; Geology; Oceanography; Ecology; Aerosol; Archaeology","score_opus":0.027900908073703466,"score_gpt":0.2553312677774645,"score_spread":0.22743035970376105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2173082680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664741,0.00023579833,0.01618226,0.00038358767,0.00014041475,0.000055637236,0.011769027,0.0009951587,0.0037638356],"genre_scores_gemma":[0.98023176,0.00008704685,0.013010342,0.00005778818,0.000014108665,0.000055502212,0.0059857275,0.00020453134,0.00035312862],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999764,0.00008931007,0.000028537102,0.000056978624,0.0000309866,0.000030162466],"domain_scores_gemma":[0.998973,0.00043835983,0.000081260536,0.00022620018,0.00020722939,0.00007396499],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015437881,0.0006511345,0.00055048434,0.000830144,0.0004553784,0.0011773832,0.0011557351,0.00093498797,0.0025297718],"category_scores_gemma":[0.0030313246,0.0004966157,0.0012423742,0.001382039,0.00031033996,0.0007493776,0.0005265117,0.00094633293,0.00032644355],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016239301,0.000109370216,0.030401794,0.000053257307,0.00034749164,0.00005510179,0.000038593025,0.9613582,0.0009631291,0.00080784754,0.0011015536,0.0046011945],"study_design_scores_gemma":[0.00012477231,0.000028004444,0.014678307,0.000025538151,0.00008222836,0.000019827205,0.000054232667,0.9805988,0.00151536,0.001014248,0.0018226665,0.000035918354],"about_ca_topic_score_codex":0.06300521,"about_ca_topic_score_gemma":0.04692515,"teacher_disagreement_score":0.06300521,"about_ca_system_score_codex":0.0010509193,"about_ca_system_score_gemma":0.0010985113,"threshold_uncertainty_score":0.12527698},"labels":[],"label_agreement":null},{"id":"W2176571485","doi":"10.5194/bg-12-5597-2015","title":"Seasonal hydrology drives rapid shifts in the flux and composition of dissolved and particulate organic carbon and major and trace ions in the Fraser River, Canada","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of the Fraser Valley","funders":"Division of Ocean Sciences; Woods Hole Oceanographic Institution; U.S. Geological Survey; Division of Earth Sciences; University of the Fraser Valley; National Science Foundation","keywords":"Dissolved organic carbon; Snowmelt; Biogeochemical cycle; Hydrology (agriculture); Environmental science; Drainage basin; Particulates; Spring (device); Streamflow; Environmental chemistry; Geology; Snow; Chemistry","score_opus":0.010072946895628833,"score_gpt":0.18718808485804306,"score_spread":0.17711513796241424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2176571485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969469,0.00015926696,0.000099163946,0.00013332456,0.0000053668077,0.000008743958,0.001186811,0.000019924943,0.0014405788],"genre_scores_gemma":[0.9975298,0.00016297685,0.00023191707,0.00006113643,0.0000019020662,0.0000050188196,0.00066480064,0.000012034081,0.0013304099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998017,0.000007075304,0.0000058462324,0.000066695655,0.000053771102,0.00006495993],"domain_scores_gemma":[0.9995683,0.00002644652,0.00005177552,0.000012028007,0.00025057394,0.00009077316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001747355,0.00023494221,0.00028262087,0.0006715258,0.0017763968,0.0010871436,0.00048445893,0.00028583716,0.0016057105],"category_scores_gemma":[0.00043451614,0.0002601413,0.00025884365,0.0010067659,0.0006442478,0.00030600055,0.0004117741,0.0004175832,0.00014127778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020205743,0.00008125518,0.9412761,0.00007103083,0.000118412914,0.00037479147,0.0018105472,0.0013784692,0.03565633,0.0004286883,0.0029605627,0.01564168],"study_design_scores_gemma":[0.000002608776,0.0000064938968,0.9972868,0.0000058380147,0.000010177873,0.000021050424,0.00073074223,0.0006052167,0.00045302665,0.000020117797,0.00085003034,0.000007828116],"about_ca_topic_score_codex":0.9837218,"about_ca_topic_score_gemma":0.9933202,"teacher_disagreement_score":0.016278207,"about_ca_system_score_codex":0.013945045,"about_ca_system_score_gemma":0.014761152,"threshold_uncertainty_score":0.101178825},"labels":[],"label_agreement":null},{"id":"W2180418843","doi":"10.5194/bg-13-2889-2016","title":"N <sub>2</sub> fixation in eddies of the eastern tropical South Pacific Ocean","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; National Science Foundation","keywords":"Photic zone; Mode water; Anticyclone; Oceanography; Eddy; Biogeochemistry; Environmental science; Water column; Mesoscale meteorology; Pelagic zone; Geology; Ocean gyre; Phytoplankton; Nutrient; Subtropics; Fishery; Biology; Ecology; Meteorology; Geography","score_opus":0.009960814308067107,"score_gpt":0.18180839988827716,"score_spread":0.17184758558021004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2180418843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997068,0.000032037304,0.000037492147,0.0000049428945,9.613203e-7,0.0000017665021,0.00010592713,0.0000019163188,0.00010818925],"genre_scores_gemma":[0.9993882,0.000048651593,0.00013468592,0.000007757206,0.0000019857375,0.000005191166,0.00031941858,0.000001596687,0.00009248506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999727,0.0000029370508,0.0000025113782,0.000010306681,0.000003729822,0.0000079135825],"domain_scores_gemma":[0.99988043,0.00002357071,0.000043257198,0.0000059074146,0.000021201575,0.000025634761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000090997,0.00026269528,0.00017302515,0.00044002116,0.000304896,0.00027525314,0.00018333038,0.0002013239,0.0005733417],"category_scores_gemma":[0.00023400526,0.0001483191,0.0002135945,0.0003936448,0.00016948055,0.00018195168,0.00031280515,0.0001298581,0.000047682828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020197585,0.000044709454,0.9527009,0.00006177835,0.00009590554,0.00040236398,0.00036804116,0.0022377763,0.039716285,0.00006372428,0.00013837384,0.00396809],"study_design_scores_gemma":[0.000003956921,0.00002243421,0.99673814,0.000003332964,0.000009873222,0.000038503236,0.00019420809,0.002213061,0.0006128658,0.000017022929,0.0001430191,0.00000366125],"about_ca_topic_score_codex":0.030137382,"about_ca_topic_score_gemma":0.035489637,"teacher_disagreement_score":0.030137382,"about_ca_system_score_codex":0.00042772622,"about_ca_system_score_gemma":0.00019612654,"threshold_uncertainty_score":0.059923947},"labels":[],"label_agreement":null},{"id":"W2185709160","doi":"10.5194/bg-12-6915-2015","title":"Biodegradability of dissolved organic carbon in permafrost soils and aquatic systems: a meta-analysis","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":248,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"U.S. Geological Survey; Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Science Foundation","keywords":"Permafrost; Dissolved organic carbon; Environmental science; Soil water; Aquatic ecosystem; Total organic carbon; Arctic; Soil carbon; Hydrology (agriculture); Thermokarst; Environmental chemistry; Ecology; Soil science; Chemistry; Geology","score_opus":0.11193371828878804,"score_gpt":0.2696772743627347,"score_spread":0.15774355607394666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2185709160","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6503404,0.29122627,0.027086718,0.001479682,0.0004237028,0.00036373886,0.026790392,0.00074419973,0.0015449338],"genre_scores_gemma":[0.9604947,0.018051242,0.012856962,0.00045985918,0.00006206756,0.00029810643,0.0073190182,0.00013224772,0.0003257942],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.99702626,0.001465971,0.00033051794,0.00077229436,0.00023518105,0.00016973399],"domain_scores_gemma":[0.995764,0.0029429714,0.00035787892,0.0004289003,0.0003195232,0.00018664823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050924374,0.0020752302,0.004368185,0.005376677,0.0008352359,0.0022155135,0.0014932666,0.0011255522,0.0022086252],"category_scores_gemma":[0.0062880428,0.00089013303,0.020309722,0.005868228,0.0005139631,0.0009100383,0.0019048968,0.0012361795,0.00028180963],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011544537,0.00017569581,0.21978994,0.026712697,0.70592535,0.0006366009,0.00055688305,0.010018563,0.009691729,0.0008073417,0.0015304679,0.02300032],"study_design_scores_gemma":[0.00032362077,0.00066763826,0.28404936,0.0038302492,0.6724779,0.00058513426,0.0009852394,0.018496033,0.0032489144,0.0020873079,0.013019394,0.00022933108],"about_ca_topic_score_codex":0.014651795,"about_ca_topic_score_gemma":0.018227702,"teacher_disagreement_score":0.014651795,"about_ca_system_score_codex":0.0010985417,"about_ca_system_score_gemma":0.0020471797,"threshold_uncertainty_score":0.029133022},"labels":[],"label_agreement":null},{"id":"W2202623230","doi":"10.5194/bg-13-389-2016","title":"Vegetation structure and fire weather influence variation in burn severity and fuel consumption during peatland wildfires","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"University of Manchester; Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Moorland; Peat; Vegetation (pathology); Prescribed burn; Fire regime; Atmospheric sciences; Flammability; Vegetation type; Hydrology (agriculture); Physical geography; Ecology; Forestry; Ecosystem; Geography; Shrub; Geology; Medicine","score_opus":0.004629608805670047,"score_gpt":0.19789406793712727,"score_spread":0.19326445913145723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2202623230","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99949646,0.000056656027,0.00007758975,0.0000033848817,0.000001044608,0.0000018556237,0.00018533354,0.0000024985604,0.0001751673],"genre_scores_gemma":[0.99944407,0.000023796423,0.000097781056,0.0000026976772,9.148402e-7,0.000002573847,0.00023944404,0.0000022643399,0.00018640596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999757,0.000059706173,0.000016268337,0.000060509494,0.000048947106,0.000057451238],"domain_scores_gemma":[0.9991066,0.00021695369,0.00029063027,0.000056710403,0.0001787745,0.00015029576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051346415,0.00020368762,0.00023601021,0.00064864085,0.00030363558,0.00050821464,0.00020245175,0.0001791902,0.0011043913],"category_scores_gemma":[0.0010726241,0.00016269452,0.00024622065,0.0006321188,0.00029791472,0.0002626607,0.00024521138,0.00020598658,0.00016470588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014478846,0.000020356603,0.9940818,0.00001308724,0.00006194105,0.000026217738,0.00030223562,0.00024665028,0.0020288308,0.000013022612,0.0000622649,0.0029989295],"study_design_scores_gemma":[1.761556e-7,0.0000044200383,0.99982065,0.0000011025506,0.0000018909257,0.0000058454452,0.000049394355,0.00007077986,0.00002395892,0.0000020995994,0.000019231531,6.5951184e-7],"about_ca_topic_score_codex":0.1425885,"about_ca_topic_score_gemma":0.411422,"teacher_disagreement_score":0.1425885,"about_ca_system_score_codex":0.0008123164,"about_ca_system_score_gemma":0.0003186812,"threshold_uncertainty_score":0.28351706},"labels":[],"label_agreement":null},{"id":"W2221769449","doi":"10.5194/bg-12-7279-2015","title":"Modern to millennium-old greenhouse gases emitted from ponds and lakes of the Eastern Canadian Arctic (Bylot Island, Nunavut)","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Institut National de la Recherche Scientifique","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; ArcticNet; W. Garfield Weston Foundation; Parks Canada","keywords":"Permafrost; Greenhouse gas; Arctic; Biogeochemical cycle; Environmental science; Aquatic ecosystem; Peat; Dissolved organic carbon; Carbon cycle; Hydrology (agriculture); Physical geography; Oceanography; Ecology; Ecosystem; Geology; Geography","score_opus":0.04471094615388885,"score_gpt":0.22553853741020297,"score_spread":0.18082759125631412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2221769449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967546,0.0003794322,0.000115805844,0.000024994353,0.000004081442,0.000005804557,0.001279946,0.0000064232636,0.0014288751],"genre_scores_gemma":[0.9975593,0.0002858304,0.00031353434,0.00001881608,0.0000018620389,0.000005367228,0.00077312335,0.000004009725,0.0010380014],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998989,0.000004536865,0.0000031864445,0.000025890657,0.000032950335,0.000034586596],"domain_scores_gemma":[0.9997907,0.000009864444,0.0000313515,0.000006816779,0.00012911367,0.00003214994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014524994,0.0002525886,0.00012496684,0.00075402687,0.0015770332,0.00059225055,0.00028415903,0.00011246122,0.00075045624],"category_scores_gemma":[0.00019240886,0.00013338847,0.00013488057,0.0011228085,0.00035232774,0.00027328075,0.00042685008,0.00015991498,0.00006832493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000842391,0.000009973297,0.9786925,0.000044149267,0.000047735557,0.00012401692,0.0014446578,0.00023619628,0.006872341,0.000078535435,0.00044480158,0.011920702],"study_design_scores_gemma":[7.43668e-7,0.0000031637114,0.997815,0.000005755245,0.000007139012,0.00002171075,0.00078892184,0.00009427464,0.00029883714,0.000006338346,0.0009552735,0.0000028628647],"about_ca_topic_score_codex":0.95879775,"about_ca_topic_score_gemma":0.9913235,"teacher_disagreement_score":0.041202247,"about_ca_system_score_codex":0.006501836,"about_ca_system_score_gemma":0.0036230707,"threshold_uncertainty_score":0.082889736},"labels":[],"label_agreement":null},{"id":"W2236482076","doi":"10.5194/bg-13-13-2016","title":"Phototrophic pigment diversity and picophytoplankton in permafrost thaw lakes","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; ArcticNet","keywords":"Phototroph; Picoplankton; Permafrost; Phytoplankton; Thermokarst; Chlorophyll a; Environmental science; Dominance (genetics); Ecology; Diatom; Oceanography; Environmental chemistry; Photosynthesis; Biology; Botany; Geology; Chemistry; Nutrient","score_opus":0.014174552958076484,"score_gpt":0.18318246279632364,"score_spread":0.16900790983824715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236482076","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997664,0.0000324103,0.000018079212,0.0000025804982,1.4832489e-7,0.0000015082693,0.000084076026,0.0000010984086,0.00009381773],"genre_scores_gemma":[0.99950075,0.0000263844,0.00007371134,0.0000072964626,5.630255e-7,0.0000033754254,0.00022154658,7.1966747e-7,0.00016561612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993277,0.000007939467,0.000003834493,0.000016696675,0.00001680657,0.000021920863],"domain_scores_gemma":[0.99983907,0.000021658303,0.000043127136,0.0000051924926,0.00005340428,0.00003753578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014025351,0.00017576921,0.00017113317,0.00061888766,0.00060606847,0.00034102102,0.00014197394,0.0001544255,0.00068945746],"category_scores_gemma":[0.0002540435,0.00013165701,0.00007924838,0.0005470036,0.0002641809,0.00021201915,0.00019806084,0.00008515676,0.00006385094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021840732,0.000023067496,0.96235114,0.000021837099,0.000028697588,0.00007501447,0.0006098828,0.0001541271,0.03259093,0.000020978252,0.00006396447,0.0038419075],"study_design_scores_gemma":[9.953718e-7,0.000014526791,0.99934894,0.0000010173394,0.0000024516535,0.000014105977,0.00012966112,0.00010625905,0.00032884872,0.0000031840664,0.000049100312,9.82578e-7],"about_ca_topic_score_codex":0.16898324,"about_ca_topic_score_gemma":0.34947237,"teacher_disagreement_score":0.16898324,"about_ca_system_score_codex":0.001163096,"about_ca_system_score_gemma":0.000463237,"threshold_uncertainty_score":0.33599925},"labels":[],"label_agreement":null},{"id":"W2257910779","doi":"10.5194/bg-13-4411-2016","title":"Bacterial production in subarctic peatland lakes enriched by thawingpermafrost","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Fonds de recherche du Québec – Nature et technologies; ArcticNet; Université Laval","keywords":"Permafrost; Peat; Subarctic climate; Thermokarst; Soil water; Hydrology (agriculture); Total organic carbon; Environmental science; Geology; Soil science; Environmental chemistry; Oceanography; Ecology; Chemistry","score_opus":0.02560746355959085,"score_gpt":0.22784367026796107,"score_spread":0.20223620670837023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257910779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99961853,0.00002580396,0.000031422096,0.000003291464,3.3854803e-7,0.000002599356,0.00014678424,0.0000018537454,0.00016932958],"genre_scores_gemma":[0.9986771,0.000051552946,0.00017676994,0.000010503134,9.08185e-7,0.000005371746,0.00039346734,0.0000015061805,0.00068281783],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991894,0.0000047933336,0.0000034450954,0.000023518223,0.000018568073,0.000030713443],"domain_scores_gemma":[0.9998516,0.0000137673815,0.000029201385,0.0000037655698,0.00005098435,0.00005061668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008271607,0.00020679361,0.00016128753,0.00037797468,0.00053961645,0.00044588948,0.00013539729,0.00014179928,0.0006358315],"category_scores_gemma":[0.00015823587,0.00013787822,0.00010301525,0.00031141526,0.00025151437,0.00013056558,0.00016671953,0.00011512313,0.00011294106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041164955,0.000048998267,0.55013645,0.00006977546,0.000032564207,0.00020415925,0.001314094,0.000330204,0.44272605,0.000049666087,0.00011207251,0.004564267],"study_design_scores_gemma":[0.0000035036917,0.00006489032,0.98946244,0.0000030238873,0.00000731682,0.000044885037,0.00050059747,0.00042819983,0.009245796,0.0000065026775,0.00023020084,0.000002574687],"about_ca_topic_score_codex":0.32847312,"about_ca_topic_score_gemma":0.48662165,"teacher_disagreement_score":0.32847312,"about_ca_system_score_codex":0.0012850313,"about_ca_system_score_gemma":0.0007365759,"threshold_uncertainty_score":0.6531224},"labels":[],"label_agreement":null},{"id":"W2259611809","doi":"10.5194/bg-13-3819-2016","title":"Spatial and seasonal variations of leaf area index (LAI) in subtropicalsecondary forests related to floristic composition and stand characters","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Specialized Research Fund for the Doctoral Program of Higher Education of China; Program for New Century Excellent Talents in University; National Natural Science Foundation of China","keywords":"Evergreen; Deciduous; Basal area; Leaf area index; Tropical and subtropical moist broadleaf forests; Spatial heterogeneity; Subtropics; Environmental science; Ecology; Forestry; Geography; Biology","score_opus":0.006548080579770875,"score_gpt":0.20498368360235256,"score_spread":0.19843560302258167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259611809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997632,0.000032222048,0.000033999848,0.0000031447044,6.2930206e-7,7.2665034e-7,0.00006229892,0.0000021144704,0.00010168424],"genre_scores_gemma":[0.99973565,0.00001240722,0.000038385722,0.000002841898,9.519557e-7,0.0000015144797,0.00013567063,6.5024307e-7,0.000072027746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999285,0.000008995287,0.000006090627,0.000024814433,0.000014923993,0.000016696411],"domain_scores_gemma":[0.99973506,0.000040062245,0.000088694156,0.000019614097,0.000053429798,0.0000632241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020668046,0.00015839786,0.00011952048,0.00062459795,0.00020286621,0.00020741564,0.00013729402,0.000100362726,0.0005670521],"category_scores_gemma":[0.00030667052,0.00007969709,0.00016678266,0.0007621588,0.0001668073,0.00015767032,0.00017220894,0.000104939696,0.00007378338],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000618815,0.000012798853,0.9922334,0.000011445082,0.00004658053,0.000104933126,0.00028305317,0.00018863894,0.0036496148,0.000029363608,0.00006452251,0.0033137791],"study_design_scores_gemma":[3.2589054e-7,0.000003097116,0.9996953,4.1705735e-7,0.000003251072,0.000021139409,0.000060201393,0.00014497891,0.00004229267,0.0000064618607,0.000021785543,7.825047e-7],"about_ca_topic_score_codex":0.014051711,"about_ca_topic_score_gemma":0.03378809,"teacher_disagreement_score":0.014051711,"about_ca_system_score_codex":0.00024740762,"about_ca_system_score_gemma":0.00014826424,"threshold_uncertainty_score":0.027939856},"labels":[],"label_agreement":null},{"id":"W2267025069","doi":"10.5194/bg-13-77-2016","title":"Parameterization of biogeochemical sediment–water fluxes using in situ measurements and a diagenetic model","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration","keywords":"Water column; Biogeochemistry; Biogeochemical cycle; Sediment; Diagenesis; Environmental science; Bottom water; Oceanography; Hydrology (agriculture); Hypoxia (environmental); Geology; Environmental chemistry; Oxygen; Geochemistry; Geomorphology; Chemistry","score_opus":0.040758609743525395,"score_gpt":0.2216381435401881,"score_spread":0.18087953379666272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267025069","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24668825,0.00009278446,0.7489149,0.0001670415,0.000028927423,0.00008994008,0.0005176326,0.00085068686,0.0026498225],"genre_scores_gemma":[0.8471723,0.00007691465,0.15043136,0.000056269324,0.000012630071,0.00019423816,0.00056040095,0.00012166838,0.001374221],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985135,0.000043142394,0.000012429442,0.000051810188,0.000025874022,0.000015360452],"domain_scores_gemma":[0.99965775,0.00015925076,0.000064563545,0.000045519322,0.000056732486,0.00001619734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060533325,0.0010224938,0.0004127676,0.00034439028,0.00034809348,0.00067148777,0.00068104523,0.0009541084,0.00095316296],"category_scores_gemma":[0.0009080397,0.0006553558,0.000748531,0.00032235135,0.00029912798,0.0006039436,0.000497277,0.00085445505,0.00022087556],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021783475,0.00004915011,0.0021670747,0.000036516347,0.00003407153,0.00003442519,0.000019086168,0.9797403,0.010606862,0.0005517735,0.0001141784,0.006624678],"study_design_scores_gemma":[0.000005117722,0.000008485299,0.00042237501,0.0000013278622,0.000005108637,0.000004144418,0.0000031843795,0.99728215,0.0019049502,0.00019762403,0.00016127234,0.0000041680137],"about_ca_topic_score_codex":0.02096045,"about_ca_topic_score_gemma":0.019512892,"teacher_disagreement_score":0.02096045,"about_ca_system_score_codex":0.0010509994,"about_ca_system_score_gemma":0.0012817449,"threshold_uncertainty_score":0.04167688},"labels":[],"label_agreement":null},{"id":"W2277463625","doi":"10.5194/bg-13-1933-2016","title":"Carbon sequestration in managed temperate coniferous forests under climate change","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Forests; Government of British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations","keywords":"Climate change; Environmental science; Temperate climate; Temperate rainforest; Carbon sequestration; Forest management; Greenhouse gas; Carbon sink; Temperate forest; Primary production; Productivity; Ecosystem; Carbon cycle; Ecology; Agroforestry; Carbon dioxide; Biology","score_opus":0.020424810806574923,"score_gpt":0.23658405081329234,"score_spread":0.2161592400067174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2277463625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997797,0.00007721016,0.00041473453,0.000039999984,0.0000046313326,0.00000809399,0.00018092337,0.000017705794,0.0014596909],"genre_scores_gemma":[0.999466,0.000034699584,0.00022645561,0.000008872786,0.0000017639019,0.000008143888,0.000098104334,0.0000029087983,0.00015311898],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99988604,0.000043412456,0.000006035255,0.00002573293,0.000012061103,0.000026664675],"domain_scores_gemma":[0.999819,0.0000535905,0.00004371748,0.000014060367,0.000041236508,0.000028370318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000622165,0.00027298933,0.00019954315,0.0002663359,0.0003887059,0.0006298675,0.0004532786,0.0002824167,0.00080541644],"category_scores_gemma":[0.00039893787,0.00007294847,0.00019794756,0.0005105963,0.00024046833,0.00039457716,0.00016098945,0.00016328525,0.00006195099],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043157543,0.00041718135,0.2641931,0.00012124112,0.00021020733,0.00034221562,0.00014547742,0.7086341,0.010225726,0.0018443622,0.00092850835,0.012506385],"study_design_scores_gemma":[0.00012151876,0.00028941297,0.27341208,0.000031230185,0.00009471981,0.00008588739,0.00033765854,0.7191282,0.0030230505,0.001550123,0.0018936103,0.0000325782],"about_ca_topic_score_codex":0.053239737,"about_ca_topic_score_gemma":0.08038814,"teacher_disagreement_score":0.053239737,"about_ca_system_score_codex":0.0016337624,"about_ca_system_score_gemma":0.0009037641,"threshold_uncertainty_score":0.1058597},"labels":[],"label_agreement":null},{"id":"W2280856421","doi":"10.5194/bg-13-2291-2016","title":"The effect of a permafrost disturbance on growing-season carbon-dioxide fluxes in a high Arctic tundra ecosystem","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"University of British Columbia; Natural Sciences and Engineering Research Council of Canada; Queen's University; University of Alberta; ArcticNet; Polar Knowledge Canada","keywords":"Tundra; Permafrost; Thermokarst; Environmental science; Arctic; Ecosystem respiration; Ecosystem; Eddy covariance; Growing season; Sink (geography); Atmospheric sciences; Carbon sink; Primary production; Hydrology (agriculture); Physical geography; Ecology; Geology; Oceanography; Geography","score_opus":0.012473131095315811,"score_gpt":0.21478252254324665,"score_spread":0.20230939144793084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2280856421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997205,0.000037204187,0.000031746436,0.00000804024,0.0000013693556,0.0000011386705,0.00006799371,0.00000242808,0.00012953933],"genre_scores_gemma":[0.99970394,0.00002858166,0.000078914236,0.000013113635,0.0000015709618,0.0000021522424,0.0001060186,0.0000015253564,0.00006417047],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985135,0.000025527695,0.000013692769,0.00004941015,0.000026350544,0.000033686825],"domain_scores_gemma":[0.9996258,0.000056124845,0.00010392142,0.000030452278,0.00008220704,0.00010146085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030690362,0.000287758,0.00024708748,0.00038297582,0.0006907475,0.00086664344,0.00028873302,0.00027769216,0.0004351122],"category_scores_gemma":[0.00044868648,0.0001458545,0.00031384974,0.0004100474,0.00034359974,0.0002986393,0.00029332418,0.00025331814,0.00006608207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003877251,0.00009692827,0.94684124,0.00003205788,0.00021629281,0.00021818742,0.00029945347,0.0012493518,0.046239614,0.000045175544,0.000099413555,0.0042744884],"study_design_scores_gemma":[0.0000014537111,0.000017266664,0.99857163,0.0000013368505,0.000011095492,0.000020499509,0.00008757127,0.0006588617,0.0005551631,0.0000043806353,0.00006870782,0.0000020056373],"about_ca_topic_score_codex":0.1524568,"about_ca_topic_score_gemma":0.26390064,"teacher_disagreement_score":0.1524568,"about_ca_system_score_codex":0.001776011,"about_ca_system_score_gemma":0.0007459288,"threshold_uncertainty_score":0.30313885},"labels":[],"label_agreement":null},{"id":"W2284918011","doi":"10.5194/bg-13-1019-2016","title":"Diurnal variation in the coupling of photosynthetic electron transport and carbon fixation in iron-limited phytoplankton in the NE subarctic Pacific","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Phytoplankton; Carbon fixation; Subarctic climate; Photosynthesis; Environmental science; Chlorophyll a; Photosynthetic efficiency; Diurnal temperature variation; Atmospheric sciences; Botany; Biology; Ecology; Nutrient; Physics","score_opus":0.009108205930974762,"score_gpt":0.18938944481239192,"score_spread":0.18028123888141717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284918011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931455,0.00006621891,0.00025320018,0.000008742394,0.000001754783,0.0000031987329,0.00011264099,0.000005966083,0.00023374727],"genre_scores_gemma":[0.9992318,0.000045595232,0.0003091827,0.000011969169,0.0000026542216,0.000008637017,0.0001300862,0.0000030827025,0.00025699314],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99996233,0.0000051832226,0.0000025269633,0.00001657559,0.000008121308,0.000005298463],"domain_scores_gemma":[0.99983335,0.000036526417,0.000044419146,0.000012834825,0.00004280793,0.00002997409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014647374,0.00012719346,0.00013830907,0.00026083196,0.00024853298,0.00018687501,0.00014526879,0.0001479345,0.0004289254],"category_scores_gemma":[0.00027739763,0.0001449175,0.000088823734,0.00016750176,0.00020649747,0.00016777332,0.00015342541,0.00019421964,0.00007120752],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043925137,0.00005862242,0.45399112,0.000085944994,0.000082157385,0.00015496885,0.000711479,0.0004269244,0.53684163,0.00005755318,0.00014942046,0.007000892],"study_design_scores_gemma":[0.0000013964448,0.000015232862,0.99752337,0.0000012127167,0.000005097462,0.000021265632,0.00004294305,0.00024310805,0.002063132,0.0000067068745,0.00007505475,0.0000016131089],"about_ca_topic_score_codex":0.012215057,"about_ca_topic_score_gemma":0.020557296,"teacher_disagreement_score":0.012215057,"about_ca_system_score_codex":0.0002929011,"about_ca_system_score_gemma":0.00017844289,"threshold_uncertainty_score":0.02428788},"labels":[],"label_agreement":null},{"id":"W2288367337","doi":"10.5194/bg-13-1329-2016","title":"Evaluation of wetland methane emissions across North America using atmospheric data and inverse modeling","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Nuclear Security Administration; Office of Science; National Aeronautics and Space Administration; U.S. Department of Energy; National Oceanic and Atmospheric Administration; Harvard University; National Science Foundation","keywords":"Environmental science; Wetland; Seasonality; Magnitude (astronomy); Atmospheric sciences; Land cover; Spatial distribution; Climatology; Land use; Geography; Geology; Remote sensing; Ecology","score_opus":0.05973099645906784,"score_gpt":0.29924546190370915,"score_spread":0.2395144654446413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288367337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973079,0.000038868307,0.0011499042,0.0000502143,0.0000029043892,0.000008507851,0.00048071446,0.00011959557,0.000841389],"genre_scores_gemma":[0.9968886,0.000031451702,0.0020421003,0.0000073971432,0.000002330022,0.000006957023,0.00091566425,0.00001397019,0.00009147735],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969304,0.00009685096,0.000012014351,0.00007790049,0.000084164116,0.000036079182],"domain_scores_gemma":[0.9993617,0.00022740384,0.00006797411,0.000056747605,0.00025023415,0.000035964254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007485075,0.00047411094,0.00022952334,0.0005855751,0.00050348963,0.00060969533,0.00047277624,0.0001986191,0.00033541056],"category_scores_gemma":[0.001591691,0.00024060685,0.00052999175,0.00083909126,0.0003119742,0.00040551848,0.00030415333,0.00026286638,0.000041845844],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003769089,0.00022508577,0.51569575,0.000098204015,0.00040527183,0.00014727651,0.00019356846,0.44401327,0.0054530376,0.0010197958,0.0009953033,0.03137645],"study_design_scores_gemma":[0.000052935855,0.000069863934,0.24656959,0.000010041414,0.00009457901,0.000036103113,0.00022807033,0.7485757,0.0029291348,0.00026904166,0.0011301176,0.00003496038],"about_ca_topic_score_codex":0.7095304,"about_ca_topic_score_gemma":0.6833178,"teacher_disagreement_score":0.2904696,"about_ca_system_score_codex":0.0025771484,"about_ca_system_score_gemma":0.0024323182,"threshold_uncertainty_score":0.5843604},"labels":[],"label_agreement":null},{"id":"W2288516731","doi":"10.5194/bg-13-3991-2016","title":"Analysing the uncertainty of estimating forest carbon stocks in China","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Environmental science; Satellite; Sample (material); Interpolation (computer graphics); Kriging; Multivariate interpolation; Carbon cycle; Spatial variability; Remote sensing; Climatology; Meteorology; Computer science; Statistics; Mathematics; Geography; Geology","score_opus":0.010143752012827932,"score_gpt":0.23947563121731683,"score_spread":0.2293318792044889,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288516731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957255,0.00011602704,0.0036084903,0.000031396106,0.0000026804832,0.0000057933844,0.00017521481,0.000021075817,0.00031389025],"genre_scores_gemma":[0.9988065,0.000026146397,0.00089675246,0.0000044738163,0.0000019620927,0.0000035371231,0.0002178103,0.0000029908642,0.00003984542],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988166,0.00027987346,0.0001327808,0.00023547487,0.0004415251,0.00009380363],"domain_scores_gemma":[0.9937837,0.0033448806,0.000840026,0.00045838262,0.0014898737,0.000083117615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051491116,0.00058119715,0.00038060427,0.002018893,0.00035145704,0.00085121556,0.00060550554,0.00037728582,0.00017936439],"category_scores_gemma":[0.008496765,0.00030604374,0.00048154435,0.0015508011,0.0004844892,0.00083739834,0.00058295473,0.0002167986,0.00003925657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024006871,0.000041633586,0.60047877,0.00009331152,0.0003618543,0.0003276322,0.0002743572,0.36004937,0.0034092786,0.00086582016,0.00019730815,0.033660553],"study_design_scores_gemma":[0.000015678052,0.000061541425,0.44294497,0.00003154965,0.000105383966,0.00007152293,0.00019512775,0.5495462,0.005153545,0.0012965769,0.00052902254,0.000048877177],"about_ca_topic_score_codex":0.058270216,"about_ca_topic_score_gemma":0.033754863,"teacher_disagreement_score":0.058270216,"about_ca_system_score_codex":0.0020319354,"about_ca_system_score_gemma":0.00085799466,"threshold_uncertainty_score":0.11586207},"labels":[],"label_agreement":null},{"id":"W2288637426","doi":"10.5194/bg-13-1237-2016","title":"Thermo-erosion gullies boost the transition from wet to mesic tundra vegetation","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières; Université Laval; Center for Northern Studies","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies; Government of Canada; Parks Canada; Université du Québec à Trois-Rivières; ArcticNet; Natural Resources Canada; Université de Montréal; Université Laval","keywords":"Environmental science; Vegetation (pathology); Tundra; Permafrost; Graminoid; Species richness; Plant community; Biomass (ecology); Thermokarst; Erosion; Ecosystem; Hydrology (agriculture); Physical geography; Geology; Ecology; Arctic; Oceanography; Geomorphology; Geography","score_opus":0.03427704107683659,"score_gpt":0.23046787345285835,"score_spread":0.19619083237602175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288637426","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997805,0.000024867495,0.000025315605,0.0000060709144,6.7010717e-7,9.1509753e-7,0.000028261078,0.0000027322062,0.00013067054],"genre_scores_gemma":[0.999701,0.000018043407,0.00004961193,0.000009344768,6.01945e-7,0.0000017169696,0.000058455797,9.438755e-7,0.00016030543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995637,0.0000057391358,0.0000016435891,0.000013093911,0.0000054417583,0.000017607741],"domain_scores_gemma":[0.99983096,0.0000109403245,0.00006124446,0.000012811216,0.000017843051,0.00006613218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009662426,0.00012619304,0.00010539559,0.00014908136,0.00021390611,0.00029207458,0.00010889992,0.0001183027,0.000943328],"category_scores_gemma":[0.00021029192,0.00007237033,0.000096293865,0.00010742094,0.00027349524,0.00013197778,0.00027742723,0.0001687232,0.00009466894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005132414,0.000085338,0.9116322,0.000037747646,0.000043743417,0.00019040365,0.0006377854,0.00074324955,0.07705443,0.00011276009,0.00020330002,0.008745643],"study_design_scores_gemma":[9.3392424e-7,0.000048111226,0.99921036,0.0000013056675,0.0000021001676,0.00001413967,0.00014744206,0.00011179358,0.0003061557,0.000008893005,0.00014797099,7.6973953e-7],"about_ca_topic_score_codex":0.019243365,"about_ca_topic_score_gemma":0.08697153,"teacher_disagreement_score":0.019243365,"about_ca_system_score_codex":0.0004500405,"about_ca_system_score_gemma":0.0002257254,"threshold_uncertainty_score":0.038262725},"labels":[],"label_agreement":null},{"id":"W2293090777","doi":"10.5194/bg-13-1439-2016","title":"Nonlinear thermal and moisture response of ice-wedge polygons to permafrost disturbance increases heterogeneity of high Arctic wetland","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; Université Laval; Center for Northern Studies","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; ArcticNet; W. Garfield Weston Foundation; Parks Canada; Garfield Weston Foundation","keywords":"Permafrost; Ice wedge; Geology; Thermokarst; Arctic; Geomorphology; Water content; Snow; Moisture; Wetland; Hydrology (agriculture); Physical geography; Oceanography; Geotechnical engineering; Ecology; Geography","score_opus":0.023308962634328415,"score_gpt":0.24165809569159838,"score_spread":0.21834913305726997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293090777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99972683,0.0000063273847,0.00005097385,0.0000020596249,3.904586e-7,8.068354e-7,0.000045922097,0.0000019567462,0.00016465785],"genre_scores_gemma":[0.9998498,0.0000032703456,0.000024158546,0.0000013396242,4.474637e-7,6.48645e-7,0.00006910937,0.0000011291562,0.000049985447],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987936,0.000024419505,0.000005328029,0.000032644424,0.000018100145,0.000040116625],"domain_scores_gemma":[0.99954057,0.00014804855,0.00011973592,0.000040394247,0.00006130163,0.000090048794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013900518,0.000098717435,0.00014742067,0.00042802887,0.00019756178,0.00048699038,0.00014391047,0.00011231654,0.0012675896],"category_scores_gemma":[0.0007273559,0.00009552416,0.00013054367,0.00031615555,0.00031518648,0.00017845583,0.0002992013,0.0001340285,0.00013205835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003819483,0.000044361062,0.966152,0.000017729075,0.000060643757,0.00017387382,0.0004234834,0.0027800186,0.024741951,0.000081212245,0.000127639,0.0050151437],"study_design_scores_gemma":[7.362322e-7,0.000011969532,0.9977881,9.546461e-7,0.000002574832,0.00004316252,0.00018826993,0.0015577246,0.0003298485,0.000021212161,0.000054261665,0.0000011741486],"about_ca_topic_score_codex":0.0110314,"about_ca_topic_score_gemma":0.019225292,"teacher_disagreement_score":0.0110314,"about_ca_system_score_codex":0.00030095075,"about_ca_system_score_gemma":0.000114514485,"threshold_uncertainty_score":0.02193433},"labels":[],"label_agreement":null},{"id":"W2295789500","doi":"10.5194/bg-13-3777-2016","title":"Summer fluxes of methane and carbon dioxide from a pond and floating mat in a continental Canadian peatland","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; University of Guelph","keywords":"Peat; Carbon dioxide; Sink (geography); Environmental science; Transect; Methane; Atmospheric sciences; Temperate climate; Hydrology (agriculture); Greenhouse gas; Carbon sink; Oceanography; Geology; Climate change; Ecology; Geography; Biology","score_opus":0.009907884857584643,"score_gpt":0.21112128001861266,"score_spread":0.201213395161028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2295789500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929976,0.00003118582,0.0000412702,0.000010457783,9.521688e-7,0.0000032882404,0.0002451767,0.000004907184,0.00036299665],"genre_scores_gemma":[0.99913305,0.00003640398,0.0001838002,0.000007304596,8.556254e-7,0.000003544068,0.00025798797,0.0000018520448,0.00037526182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999895,0.0000041725143,0.0000034358388,0.000028265473,0.000031103318,0.000038056103],"domain_scores_gemma":[0.99983156,0.000010622377,0.000021020534,0.0000047910958,0.000074794836,0.00005722645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010229634,0.00026948788,0.00021084868,0.000602008,0.0019604212,0.00059589784,0.00033781497,0.00018243531,0.0007200087],"category_scores_gemma":[0.00020413578,0.00017432064,0.00017475401,0.00085070916,0.00042419237,0.00023438083,0.00035169753,0.00017617845,0.000079797865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021446578,0.000036112597,0.9679213,0.00003240371,0.00004904652,0.00027970408,0.0016272498,0.000613793,0.019906903,0.00006565391,0.00039700547,0.008856366],"study_design_scores_gemma":[0.0000021596018,0.000009927329,0.99824,0.0000035959515,0.0000068795166,0.000021124304,0.0004944335,0.00053755334,0.00038075747,0.0000072352805,0.00029227044,0.000004033328],"about_ca_topic_score_codex":0.9702993,"about_ca_topic_score_gemma":0.9910198,"teacher_disagreement_score":0.029700696,"about_ca_system_score_codex":0.007639252,"about_ca_system_score_gemma":0.0045052674,"threshold_uncertainty_score":0.059751153},"labels":[],"label_agreement":null},{"id":"W2298779432","doi":"10.5194/bg-13-4291-2016","title":"Predicting carbon dioxide and energy fluxes across global FLUXNET sites withregression algorithms","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":818,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Lawrence Berkeley National Laboratory; University of Virginia; Horizon 2020 Framework Programme; Natural Sciences and Engineering Research Council of Canada; European Regional Development Fund; Japan Aerospace Exploration Agency; U.S. Department of Energy; European Commission; Oak Ridge National Laboratory; Biological and Environmental Research; Ministerio de Economía y Competitividad; Canadian Foundation for Climate and Atmospheric Sciences; Microsoft Research; Natural Resources Canada; National Aeronautics and Space Administration; Università degli Studi della Tuscia; National Science Foundation","keywords":"FluxNet; Eddy covariance; Environmental science; Sensible heat; Primary production; Latent heat; Atmospheric sciences; Water cycle; Carbon cycle; Climatology; Ecosystem; Meteorology; Ecology; Geography","score_opus":0.0078496853845259,"score_gpt":0.22132962170949835,"score_spread":0.21347993632497245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2298779432","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9781325,0.00012215885,0.019639747,0.00006876057,0.000020792972,0.000027659089,0.0008426059,0.000720519,0.0004252157],"genre_scores_gemma":[0.97114426,0.000039651783,0.025313437,0.000020701178,0.000010150996,0.000059130245,0.003055099,0.00004969645,0.00030793276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954635,0.00016962687,0.000033449323,0.00014598615,0.00005597222,0.000048533046],"domain_scores_gemma":[0.99903464,0.00046583175,0.00012201394,0.00012834171,0.00021423161,0.000034900117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002412492,0.0013411535,0.00061974826,0.0011854775,0.00034116526,0.00072920305,0.000715257,0.00086434337,0.00066649524],"category_scores_gemma":[0.0024289316,0.0004771197,0.0009979897,0.0012366247,0.00027856082,0.0011469377,0.00044164847,0.00066949055,0.00023788259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023403708,0.00041000193,0.07529386,0.000048976577,0.00022814803,0.00004861648,0.00004570564,0.8850129,0.0026950855,0.0003107194,0.0006579181,0.03501402],"study_design_scores_gemma":[0.000016882399,0.00003000723,0.013786158,0.0000038648823,0.000010687965,0.000004689772,0.000011366109,0.98503727,0.0008112804,0.00018580836,0.000095416995,0.0000065853046],"about_ca_topic_score_codex":0.027170688,"about_ca_topic_score_gemma":0.029392594,"teacher_disagreement_score":0.027170688,"about_ca_system_score_codex":0.0011917498,"about_ca_system_score_gemma":0.0006794847,"threshold_uncertainty_score":0.054025054},"labels":[],"label_agreement":null},{"id":"W2299259889","doi":"10.5194/bg-13-4205-2016","title":"Sedimentary response to sea ice and atmospheric variability over theinstrumental period off Adélie Land, East Antarctica","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval","funders":"European Social Fund; Seventh Framework Programme; Institut Polaire Français Paul Emile Victor; Fonds de recherche du Québec – Nature et technologies; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Diatom; Sedimentary rock; Oceanography; Sea ice; Geology; Continental shelf; Sediment; Period (music); Biogenic silica; Ice core; Physical geography; Environmental science; Paleontology; Geography","score_opus":0.011842292457958675,"score_gpt":0.23222359623167835,"score_spread":0.22038130377371967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2299259889","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986675,0.00017357901,0.000017644175,0.00002261904,0.0000038919306,0.0000024643577,0.00069856417,0.0000034677237,0.00041027713],"genre_scores_gemma":[0.9988912,0.000117277166,0.00005042494,0.000012497031,0.000007517103,0.0000063015636,0.00067677326,0.000002091595,0.00023598931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998709,0.00001601269,0.000014772474,0.000029665434,0.000022215354,0.00004646865],"domain_scores_gemma":[0.9997018,0.000044746826,0.000104797604,0.000019115443,0.00006902919,0.00006056943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023819444,0.00038846716,0.00026446543,0.0019343477,0.00054801727,0.0009053862,0.00028438913,0.0002782195,0.0012467798],"category_scores_gemma":[0.00064081425,0.00015304814,0.0002464851,0.0020031913,0.00046573352,0.0003998762,0.00084297516,0.00019202745,0.00024863204],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022277687,0.00003285724,0.98749524,0.00009837802,0.0001458228,0.0005239917,0.0005015337,0.0007404081,0.0038767704,0.00006064526,0.00034453292,0.0059570703],"study_design_scores_gemma":[0.0000023210964,0.000006861635,0.99940395,0.000004605002,0.000007714148,0.000037837595,0.00013983999,0.00009737709,0.00008086968,0.0000048744523,0.0002119197,0.0000017377562],"about_ca_topic_score_codex":0.058551494,"about_ca_topic_score_gemma":0.09216699,"teacher_disagreement_score":0.058551494,"about_ca_system_score_codex":0.0010444486,"about_ca_system_score_gemma":0.00062333187,"threshold_uncertainty_score":0.11642134},"labels":[],"label_agreement":null},{"id":"W2300468104","doi":"10.5194/bg-13-1677-2016","title":"Impact of ocean acidification on phytoplankton assemblage, growth, and DMS production following Fe-dust additions in the NE Pacific high-nutrient, low-chlorophyll waters","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Division of Ocean Sciences; University of Victoria","keywords":"Phytoplankton; Environmental chemistry; Dimethylsulfoniopropionate; Subarctic climate; Chlorophyll a; Nutrient; Plankton; Biogeochemical cycle; Oceanography; Chlorophyll; Chemistry; Environmental science; Geology","score_opus":0.01287262496410933,"score_gpt":0.23100368846504374,"score_spread":0.21813106350093442,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300468104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965143,0.0000496442,0.00002930254,0.000007203126,0.0000016665326,0.0000038087621,0.0000867029,0.000001130365,0.00016919682],"genre_scores_gemma":[0.9988254,0.00007526051,0.0002408915,0.000027693555,0.0000024984577,0.000013959232,0.00028267747,0.0000021352735,0.0005294425],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99991834,0.00000967552,0.0000074954387,0.000028057828,0.000018920982,0.000017412298],"domain_scores_gemma":[0.999788,0.000032666667,0.000050796876,0.000014666281,0.000041934993,0.000072018745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013033408,0.00025173367,0.0003080272,0.00013963727,0.00035051076,0.000343131,0.00019346923,0.00024425748,0.0005615221],"category_scores_gemma":[0.00022530655,0.00019482001,0.00019643252,0.000104317725,0.00033073744,0.00020239191,0.00037681672,0.00035737123,0.00008979015],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018664656,0.00011735339,0.09800418,0.00008043036,0.000045123845,0.00023021204,0.00020226555,0.00015671244,0.89636254,0.000014446743,0.00004431006,0.0028759236],"study_design_scores_gemma":[0.000013821676,0.00056739355,0.93768334,0.0000045215425,0.000024699371,0.000065977336,0.0002998795,0.00033205765,0.060587294,0.000012972307,0.00040204925,0.000005900094],"about_ca_topic_score_codex":0.015843004,"about_ca_topic_score_gemma":0.028214233,"teacher_disagreement_score":0.015843004,"about_ca_system_score_codex":0.00056197663,"about_ca_system_score_gemma":0.00045369187,"threshold_uncertainty_score":0.03150159},"labels":[],"label_agreement":null},{"id":"W2301696792","doi":"10.5194/bg-13-3359-2016","title":"The status and challenge of global fire modelling","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":451,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Forest Service; U.S. Geological Survey; Bundesministerium für Bildung und Forschung; AXA Research Fund; Sight Research UK; Seventh Framework Programme; Natural Environment Research Council; Joint Fire Science Program; U.S. Department of Energy; Imperial College London; National Science Foundation","keywords":"Vegetation (pathology); Fire regime; Environmental science; Climate model; Climate change; Underpinning; Benchmark (surveying); Variety (cybernetics); Environmental resource management; Climatology; Biogeochemical cycle; Meteorology; Computer science; Ecology; Geography; Ecosystem; Engineering","score_opus":0.012584718742545133,"score_gpt":0.21790279119624098,"score_spread":0.20531807245369585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2301696792","genre_codex":"methods","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.12144885,0.18226217,0.500398,0.11233528,0.0038339333,0.00011938868,0.003418252,0.002517522,0.07366662],"genre_scores_gemma":[0.72357893,0.13040645,0.13272512,0.0027037647,0.002276057,0.00016933022,0.0022130418,0.0004843942,0.0054428545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935466,0.00035698252,0.000041264197,0.00008057386,0.0001263289,0.00004026417],"domain_scores_gemma":[0.9983138,0.0010083384,0.00007978241,0.0003030899,0.00022362902,0.00007146127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003302906,0.0005897214,0.00073794596,0.000734806,0.00040508946,0.0027583018,0.0015148584,0.0014017331,0.0013778232],"category_scores_gemma":[0.0047749886,0.00027047633,0.0009367928,0.0012472449,0.0012489138,0.005356656,0.0014541259,0.002133252,0.0004329506],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043982775,0.00005833098,0.004157282,0.00067347515,0.00017403904,0.00006411417,0.00024840803,0.47917017,0.0006437331,0.28988475,0.013011369,0.21187037],"study_design_scores_gemma":[0.000021181726,0.000040947692,0.0016175495,0.00068503304,0.00005722743,0.00006288471,0.0003367514,0.52955914,0.0005029959,0.35555968,0.11150444,0.00005216444],"about_ca_topic_score_codex":0.008274763,"about_ca_topic_score_gemma":0.0047617443,"teacher_disagreement_score":0.008274763,"about_ca_system_score_codex":0.0013126157,"about_ca_system_score_gemma":0.0017600927,"threshold_uncertainty_score":0.017467618},"labels":[],"label_agreement":null},{"id":"W2302187336","doi":"10.5194/bg-13-4777-2016","title":"Iron-bound organic carbon in forest soils: quantification andcharacterization","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Iron oxide chemistry and applications","field":"Energy","cited_by":200,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Light Source (Canada); University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Office of Science; University of Saskatchewan; Canadian Light Source; U.S. Environmental Protection Agency; U.S. Department of Energy","keywords":"Soil water; Chemistry; Total organic carbon; Biogeochemical cycle; Environmental chemistry; Carbon fibers; Analytical Chemistry (journal); Mineralogy; Geology; Soil science; Materials science","score_opus":0.019360673719705793,"score_gpt":0.24090487864616184,"score_spread":0.22154420492645605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302187336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99444914,0.0019022508,0.0021336703,0.000010752079,0.000007956149,0.000029386409,0.00087259285,0.000026863736,0.0005673223],"genre_scores_gemma":[0.99096024,0.0010108823,0.006253726,0.000030058616,0.000011874426,0.000040931325,0.0011740534,0.000009521952,0.0005087245],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997092,0.000020289934,0.000015651416,0.000089235706,0.00012395532,0.00004172044],"domain_scores_gemma":[0.99979,0.000022000158,0.000061163504,0.000008092981,0.0000925452,0.000026339207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030778855,0.00040740997,0.0002037762,0.0018669153,0.0004458368,0.00039012733,0.00020603137,0.0002520627,0.00035363797],"category_scores_gemma":[0.00025478503,0.00014510001,0.0001515418,0.00087544107,0.00021387634,0.00021561202,0.00019837779,0.0001420946,0.00009857896],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021043692,0.00011723887,0.33559418,0.00032645525,0.00010235504,0.00013913383,0.00021147181,0.0004308665,0.629296,0.00008787781,0.00018784903,0.033296198],"study_design_scores_gemma":[0.000010674195,0.00009631333,0.9145301,0.000035150835,0.00004451999,0.00034308105,0.00018476725,0.0037101535,0.07822291,0.00008873265,0.002719429,0.000014105788],"about_ca_topic_score_codex":0.0131905945,"about_ca_topic_score_gemma":0.024849648,"teacher_disagreement_score":0.0131905945,"about_ca_system_score_codex":0.00028866093,"about_ca_system_score_gemma":0.00035717848,"threshold_uncertainty_score":0.026227653},"labels":[],"label_agreement":null},{"id":"W2305613090","doi":"10.5194/bg-13-2859-2016","title":"Equatorward phytoplankton migration during a cold spell within the Late Cretaceous super-greenhouse","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"European Research Council; Natural Environment Research Council; Sight Research UK; Universiteit Utrecht; Netherlands Earth System Science Centre; Statoil; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Dinocyst; Palynology; Dinoflagellate; Acritarch; Geology; Paleontology; Oceanography; Northern Hemisphere; Phytoplankton; Climate change; Sea surface temperature; Climatology; Ecology; Biology","score_opus":0.0161428081814007,"score_gpt":0.20807646270392277,"score_spread":0.19193365452252206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2305613090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911374,0.000038565424,0.00002354224,0.000014858373,0.0000017478789,0.0000019708968,0.00021131858,0.000004789949,0.0005894644],"genre_scores_gemma":[0.99921036,0.00003057409,0.00005711252,0.0000093082235,0.0000015262194,0.000001616065,0.0003136082,0.0000018485212,0.000374059],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999571,0.000002881237,0.000001489248,0.000012646227,0.000010894828,0.000015111092],"domain_scores_gemma":[0.9998797,0.000008305849,0.000027601754,0.000005811788,0.00003984649,0.000038684426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091224276,0.00015315032,0.000111930145,0.0006495868,0.00053274014,0.0003972046,0.00022909307,0.0001658478,0.0010642163],"category_scores_gemma":[0.00017547849,0.000071247596,0.00008812576,0.00060856063,0.00028348147,0.00010804977,0.0003153124,0.00012924439,0.0001237004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013012039,0.00001685042,0.97261727,0.000019954856,0.000033488603,0.00035536248,0.0012188478,0.00033155552,0.018552104,0.000099129335,0.00034417646,0.006281188],"study_design_scores_gemma":[8.683885e-7,0.0000042526417,0.999537,9.67834e-7,0.0000017532982,0.000011952437,0.00015357182,0.000048336835,0.00006603152,0.000004202544,0.00017044156,6.9972424e-7],"about_ca_topic_score_codex":0.43066436,"about_ca_topic_score_gemma":0.6682579,"teacher_disagreement_score":0.43066436,"about_ca_system_score_codex":0.0014320613,"about_ca_system_score_gemma":0.0011597151,"threshold_uncertainty_score":0.85631526},"labels":[],"label_agreement":null},{"id":"W2316164656","doi":"10.5194/bg-13-2003-2016","title":"Ideas and perspectives: Holocene thermokarst sediments of the Yedoma permafrost region do not increase the northern peatland carbon pool","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Vetenskapsrådet","keywords":"Thermokarst; Permafrost; Peat; Soil carbon; Geology; Soil water; Physical geography; Earth science; Holocene; Tundra; Environmental science; Hydrology (agriculture); Soil science; Geomorphology; Arctic; Oceanography; Geography; Archaeology; Geotechnical engineering","score_opus":0.027732227735247243,"score_gpt":0.22051548641361648,"score_spread":0.19278325867836923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2316164656","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031154972,0.15385295,0.008783856,0.751037,0.013165379,0.000031569256,0.0010759933,0.000122463,0.04077579],"genre_scores_gemma":[0.6442197,0.14624512,0.011038102,0.15584692,0.024341037,0.00013501535,0.0010223906,0.00017456645,0.016977176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.998689,0.0006171669,0.000053660984,0.00041613143,0.000113089554,0.000110925794],"domain_scores_gemma":[0.9949982,0.002821517,0.0005344068,0.0003206213,0.00093933183,0.00038605474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051394673,0.0007746665,0.00063278066,0.0019142685,0.0018635748,0.005628557,0.0018567347,0.0045268866,0.01237078],"category_scores_gemma":[0.0061513097,0.00016696325,0.00040851074,0.0024279268,0.009422794,0.011408477,0.0024632728,0.004366922,0.0022410322],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000357373,0.00008893627,0.01702832,0.0024187423,0.00014275261,0.0023193103,0.024989078,0.0007185789,0.0017077213,0.68327236,0.10397321,0.16298364],"study_design_scores_gemma":[0.000032852746,0.00011761116,0.01146351,0.0026223385,0.0000818174,0.0014439909,0.048534814,0.00080404227,0.0012667879,0.4462827,0.4872243,0.00012513854],"about_ca_topic_score_codex":0.0051110806,"about_ca_topic_score_gemma":0.0035249186,"teacher_disagreement_score":0.01237078,"about_ca_system_score_codex":0.0022343325,"about_ca_system_score_gemma":0.002592398,"threshold_uncertainty_score":0.04138446},"labels":[],"label_agreement":null},{"id":"W2317344475","doi":"10.5194/bg-13-3131-2016","title":"Contribution and pathways of diazotroph-derived nitrogen to zooplankton during the VAHINE mesocosm experiment in the oligotrophic New Caledonia lagoon","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tula Foundation; University of British Columbia","funders":"European Commission; Agence Nationale de la Recherche; National Science Foundation","keywords":"Diazotroph; Zooplankton; Mesocosm; Trichodesmium; Phytoplankton; Oceanography; Plankton; Nitrogen fixation; Ecosystem; Eutrophication; Biology; Biomass (ecology); Nitrate; Environmental science; Ecology; Nutrient; Geology","score_opus":0.009182245766158365,"score_gpt":0.21878653302168988,"score_spread":0.2096042872555315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2317344475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99937505,0.000045946148,0.0001182988,0.000010456426,0.000007673994,0.000021037646,0.00020652976,0.0000059322088,0.00020906015],"genre_scores_gemma":[0.9973508,0.00009716109,0.0010182284,0.0000887205,0.0000074239006,0.000118002674,0.0005797122,0.0000055019264,0.00073457666],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980015,0.000015274416,0.000010700616,0.0001105336,0.000034764755,0.000028546463],"domain_scores_gemma":[0.9997106,0.000031054347,0.000049935992,0.000028544617,0.000045090826,0.00013480122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003716052,0.00044183986,0.00048749984,0.00027030954,0.0005471775,0.00054470473,0.00033511265,0.0003171533,0.0004185241],"category_scores_gemma":[0.0002312135,0.00019335489,0.00038586016,0.00022412126,0.0003385604,0.00038060625,0.0005790253,0.0006111055,0.00008909911],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00308095,0.0005533688,0.21352307,0.00009322831,0.0001611572,0.00018174373,0.0005640845,0.0008699904,0.774576,0.00008338835,0.00022117038,0.0060919006],"study_design_scores_gemma":[0.00007754821,0.0009861961,0.96772355,0.000010856354,0.00007808171,0.000026436865,0.0003485778,0.0034708874,0.026444312,0.00004009677,0.0007760685,0.000017344037],"about_ca_topic_score_codex":0.030883752,"about_ca_topic_score_gemma":0.08664007,"teacher_disagreement_score":0.030883752,"about_ca_system_score_codex":0.001340697,"about_ca_system_score_gemma":0.00082062895,"threshold_uncertainty_score":0.061407983},"labels":[],"label_agreement":null},{"id":"W2320208750","doi":"10.5194/bg-13-2111-2016","title":"An inversion approach for determining distribution of production and temperature sensitivity of soil respiration","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Unsaturated Flow","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Inversion (geology); Soil science; Q10; Environmental science; Atmospheric sciences; Geology; Geomorphology; Respiration","score_opus":0.015343266115950096,"score_gpt":0.21625933470359834,"score_spread":0.20091606858764824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320208750","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36555508,0.000063367384,0.6326933,0.00009194137,0.000008956722,0.00003042976,0.00018649876,0.00027141572,0.0010989952],"genre_scores_gemma":[0.8934435,0.000038752212,0.10613645,0.000016985736,0.000005215667,0.00002790243,0.00013090152,0.000020300708,0.0001799855],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992895,0.000020393436,0.0000042270276,0.000016783217,0.000020066624,0.000009609725],"domain_scores_gemma":[0.9998074,0.000092644994,0.00002533015,0.000024232142,0.000039944163,0.000010400073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036232627,0.00025949648,0.00015169302,0.0003207071,0.00015327873,0.00026299272,0.0003347991,0.00026614807,0.00036179557],"category_scores_gemma":[0.0012129645,0.00022404929,0.00021436284,0.0002869501,0.00021213703,0.00040803596,0.00032470754,0.00037012328,0.00007330746],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001245004,0.00013429094,0.01312791,0.000051606214,0.00007811502,0.00006771364,0.00009312696,0.7876496,0.113533735,0.0046283146,0.00019573608,0.08031537],"study_design_scores_gemma":[0.000007630647,0.000009132715,0.0014066391,0.0000014030323,0.0000036426475,0.000010674689,0.0000059212225,0.9938399,0.0040394585,0.0005564962,0.00011348133,0.000005732323],"about_ca_topic_score_codex":0.007657058,"about_ca_topic_score_gemma":0.0089110425,"teacher_disagreement_score":0.007657058,"about_ca_system_score_codex":0.0003549126,"about_ca_system_score_gemma":0.00085685984,"threshold_uncertainty_score":0.015224993},"labels":[],"label_agreement":null},{"id":"W2321158392","doi":"10.5194/bg-12-453-2015","title":"Preface: Towards a full greenhouse gas balance of the biosphere","year":2015,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Cooperation in Science and Technology","keywords":"Biosphere; Greenhouse gas; Environmental science; Balance (ability); Earth science; Natural resource economics; Geology; Economics; Ecology; Oceanography; Biology","score_opus":0.013538100326333728,"score_gpt":0.21183584672988395,"score_spread":0.19829774640355022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2321158392","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00084242894,0.01620143,0.0038226622,0.107264034,0.8244763,0.0001248691,0.0016415277,0.00027919424,0.04534764],"genre_scores_gemma":[0.025029121,0.029272174,0.0054152287,0.04479879,0.57854706,0.00024990548,0.0031783613,0.00079613994,0.31271324],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944466,0.000105077735,0.000042079606,0.00012641115,0.00022555157,0.00005627395],"domain_scores_gemma":[0.9958591,0.0005632245,0.00016096052,0.00022696087,0.0023081999,0.00088156847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018427874,0.0011858913,0.0005997179,0.0008004241,0.0015009416,0.0025505265,0.0009912022,0.0028973303,0.057437815],"category_scores_gemma":[0.005699046,0.00023556576,0.0005344985,0.0006199828,0.00082710286,0.0032626681,0.0018279628,0.006093965,0.03882822],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031798703,0.000018072518,0.000097182354,0.00015795373,0.0000030107683,0.000042736734,0.000037579823,0.00014443799,0.0003707761,0.0034988618,0.9761327,0.01946493],"study_design_scores_gemma":[0.000010333124,0.00004017756,0.00082997244,0.0002164293,0.0000051211446,0.000073787145,0.000075624754,0.0002135169,0.0002829376,0.0069814213,0.9912572,0.000013457028],"about_ca_topic_score_codex":0.0026520062,"about_ca_topic_score_gemma":0.0019996043,"teacher_disagreement_score":0.057437815,"about_ca_system_score_codex":0.0016638514,"about_ca_system_score_gemma":0.0018373276,"threshold_uncertainty_score":0.19214863},"labels":[],"label_agreement":null},{"id":"W2330009377","doi":"10.5194/bg-13-6471-2016","title":"The growth of shrubs on high Arctic tundra at Bylot Island: impact on snow physical properties and permafrost thermal regime","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Institut Polaire Français Paul Emile Victor","keywords":"Tundra; Snow; Permafrost; Shrub; Snowpack; Arctic; Environmental science; Arctic vegetation; Atmospheric sciences; Ecology; Geology; Geomorphology; Biology","score_opus":0.033255849166069315,"score_gpt":0.2297623493826772,"score_spread":0.19650650021660787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330009377","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945146,0.000035923124,0.000017782862,0.0000048782695,8.4579506e-7,0.0000021298902,0.00014862823,0.0000021256187,0.00033618519],"genre_scores_gemma":[0.9991696,0.000049149963,0.00011451306,0.000007650643,0.0000015033636,0.0000052400733,0.0002789436,0.0000023926918,0.0003710692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999032,0.000010898897,0.0000035676667,0.000028533019,0.00002179003,0.000031939046],"domain_scores_gemma":[0.99954826,0.000052063395,0.00008782578,0.000021458278,0.00014830094,0.00014208148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014233206,0.00030505244,0.00025236738,0.00052151625,0.0008464439,0.0005307634,0.00022033499,0.00017710093,0.0013111433],"category_scores_gemma":[0.00022962118,0.00013776179,0.00018994349,0.00044928674,0.0003318416,0.00020649433,0.00029198546,0.00020168531,0.00023119808],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018301974,0.000035535908,0.95153284,0.000054394437,0.00005233003,0.00028382277,0.0007009437,0.00014703974,0.041918278,0.000023435487,0.00012763831,0.0049407985],"study_design_scores_gemma":[5.873341e-7,0.000012363456,0.9993456,0.0000018298867,0.0000033569638,0.00001908718,0.00022215936,0.000059915765,0.00022109727,0.0000010280507,0.00011193055,9.0340603e-7],"about_ca_topic_score_codex":0.24921645,"about_ca_topic_score_gemma":0.61456954,"teacher_disagreement_score":0.75078356,"about_ca_system_score_codex":0.0011654877,"about_ca_system_score_gemma":0.00071111746,"threshold_uncertainty_score":0.49553168},"labels":[],"label_agreement":null},{"id":"W2334434047","doi":"10.5194/bg-13-3549-2016","title":"Ecological controls on N <sub>2</sub> O emission in surface litter and near-surface soil of a managed grassland: modelling and measurements","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"University of Alberta; Compute Canada","keywords":"Environmental science; Grassland; Litter; Pasture; Soil water; Atmospheric sciences; Eddy covariance; Precipitation; Ecosystem; Hydrology (agriculture); Agronomy; Soil science; Ecology","score_opus":0.022055067643814104,"score_gpt":0.21339764251701518,"score_spread":0.19134257487320108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2334434047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916255,0.000013039086,0.00047203436,0.000006863976,8.4965933e-7,0.0000051222837,0.00007544346,0.000011514922,0.00025260285],"genre_scores_gemma":[0.9993794,0.000014015945,0.00044906343,0.0000032456092,8.546015e-7,0.000010603396,0.000072752366,0.000002932418,0.00006712183],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990046,0.000023218232,0.0000063064685,0.00003778321,0.000010831267,0.000021343505],"domain_scores_gemma":[0.9997607,0.0001346231,0.00003660407,0.000020437568,0.000019561941,0.00002813193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030694724,0.0003442885,0.0002725054,0.00018892784,0.00024586945,0.00055267033,0.0005462265,0.00060606416,0.0005770274],"category_scores_gemma":[0.0004070328,0.0002560445,0.0004924231,0.00019429984,0.0003808692,0.00057982025,0.00020064284,0.00022592091,0.00007113327],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051501655,0.00041174144,0.17852025,0.00010398725,0.00018269435,0.0003177314,0.00018882527,0.7696156,0.044266526,0.00039368265,0.00020364801,0.005280337],"study_design_scores_gemma":[0.000055940498,0.00017475297,0.12405553,0.0000055381997,0.00003269263,0.000035362344,0.000071972536,0.8724807,0.0027091347,0.00018394543,0.0001733074,0.000021135404],"about_ca_topic_score_codex":0.027751755,"about_ca_topic_score_gemma":0.01834113,"teacher_disagreement_score":0.027751755,"about_ca_system_score_codex":0.000878483,"about_ca_system_score_gemma":0.00040538225,"threshold_uncertainty_score":0.05518043},"labels":[],"label_agreement":null},{"id":"W2339480091","doi":"10.5194/bg-13-2137-2016","title":"Non-deforestation fire vs. fossil fuel combustion: the source of CO <sub>2</sub> emissions affects the global carbon cycle and climate responses","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Combustion; Carbon cycle; Fossil fuel; Terrestrial ecosystem; Deforestation (computer science); Vegetation (pathology); Ecosystem; Climate change; Atmospheric sciences; Fire regime; Earth science; Ecology; Geology; Oceanography; Chemistry","score_opus":0.006563982391125948,"score_gpt":0.22406151271964153,"score_spread":0.21749753032851557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2339480091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974685,0.00009868652,0.00082464836,0.00006588701,0.000017125643,0.000008303311,0.00035848038,0.000030583116,0.0011278358],"genre_scores_gemma":[0.99908257,0.000055734356,0.00043503183,0.000015125403,0.000004276418,0.0000062314507,0.00020204087,0.00000869565,0.00019030352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999138,0.000024505853,0.000005848672,0.000020953892,0.000009595971,0.000025256784],"domain_scores_gemma":[0.9996425,0.00018459518,0.00005519717,0.00002578249,0.00003220083,0.00005979438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031838176,0.00046595736,0.00036406558,0.0002391997,0.00032326323,0.0006503252,0.0006016297,0.000858417,0.0014972748],"category_scores_gemma":[0.0008813445,0.00020357211,0.00081644545,0.00039707698,0.00053344487,0.0005293596,0.00040450788,0.0006878646,0.00008368632],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033209124,0.00017672068,0.03231547,0.000070038746,0.00018059241,0.00015954943,0.000036663307,0.95840704,0.0051087476,0.0010485202,0.00023436752,0.0019301467],"study_design_scores_gemma":[0.00009082569,0.00015874534,0.023678971,0.00000833265,0.00006556788,0.00003583974,0.00005717689,0.97341734,0.001718675,0.00039125557,0.00035748922,0.000019749858],"about_ca_topic_score_codex":0.032889947,"about_ca_topic_score_gemma":0.025974328,"teacher_disagreement_score":0.032889947,"about_ca_system_score_codex":0.0006169966,"about_ca_system_score_gemma":0.00070666923,"threshold_uncertainty_score":0.065397024},"labels":[],"label_agreement":null},{"id":"W2343207537","doi":"10.5194/bg-13-2475-2016","title":"Recording of climate and diagenesis through sedimentary DNA and fossil pigments at Laguna Potrok Aike, Argentina","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Université de Genève; Universidad de Buenos Aires; Deutsche Forschungsgemeinschaft; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Natural Sciences and Engineering Research Council of Canada; Universität Bremen; Fulbright Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Diagenesis; Geology; Holocene; Ecology; Sedimentary rock; Microbial population biology; Benthic zone; Archaea; Paleontology; Oceanography; Biology","score_opus":0.01433261685089217,"score_gpt":0.22890583601469677,"score_spread":0.2145732191638046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343207537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985851,0.00013772247,0.000090626905,0.00000912639,0.000002532814,0.000007594084,0.0004796518,0.0000065548184,0.000681104],"genre_scores_gemma":[0.99811554,0.00012113739,0.00028281054,0.0000063492457,0.0000037830441,0.000013012186,0.00075115456,0.0000026661144,0.0007035573],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998857,0.000011422802,0.000007700119,0.000040622326,0.000021490614,0.00003308688],"domain_scores_gemma":[0.99977857,0.000022082178,0.000069900285,0.000009402143,0.00007520944,0.00004487056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014104196,0.00026256905,0.0001658135,0.0010323756,0.0005351699,0.0004985682,0.00022727944,0.00018367087,0.00085415965],"category_scores_gemma":[0.00024333701,0.00013970559,0.0001321677,0.0007999883,0.0003424604,0.00016216065,0.00025128308,0.00017363203,0.000218358],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028197907,0.00004451437,0.9578324,0.00006669232,0.000039311977,0.0005466095,0.0012198961,0.0002577898,0.025889764,0.000089937625,0.00018513142,0.01354603],"study_design_scores_gemma":[0.0000024304425,0.000023519406,0.9988655,0.000004805384,0.0000046781397,0.000044551743,0.00019949098,0.00009797687,0.0002730755,0.0000069173507,0.00047563796,0.0000015009122],"about_ca_topic_score_codex":0.08600934,"about_ca_topic_score_gemma":0.15377522,"teacher_disagreement_score":0.08600934,"about_ca_system_score_codex":0.001053639,"about_ca_system_score_gemma":0.00046518113,"threshold_uncertainty_score":0.17101741},"labels":[],"label_agreement":null},{"id":"W2343547602","doi":"10.5194/bg-13-5277-2016","title":"Modelling long-term impacts of mountain pine beetle outbreaks onmerchantable biomass, ecosystem carbon, albedo, and radiative forcing","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Concordia University; Canadian Forest Service; University of British Columbia, Okanagan Campus; University of British Columbia; McGill University","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Environmental science; Albedo (alchemy); Radiative forcing; Mountain pine beetle; Ecosystem; Biomass (ecology); Vegetation (pathology); Atmospheric sciences; Forcing (mathematics); Ecology; Climatology; Climate change; Geology","score_opus":0.011164149199458979,"score_gpt":0.2197929937179022,"score_spread":0.2086288445184432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343547602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969097,0.00008644268,0.00080986245,0.000064733125,0.000008321244,0.000010055513,0.00042309237,0.000044138305,0.0016437004],"genre_scores_gemma":[0.99886346,0.000041902804,0.0004917234,0.000014541879,0.000002101147,0.000007882357,0.00027777522,0.000008599378,0.00029211014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998611,0.000040019942,0.0000066141215,0.000028512344,0.000017733068,0.000046037854],"domain_scores_gemma":[0.9996068,0.0001733254,0.00004862373,0.000031832587,0.000064574975,0.000074897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046365563,0.0006464506,0.0003659867,0.00030602913,0.00063784805,0.00083507714,0.0008468618,0.000919495,0.0012842714],"category_scores_gemma":[0.0010212366,0.00039296877,0.0005009976,0.0004033789,0.00054846617,0.0005075635,0.00041075496,0.0007277327,0.000118822645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000093062044,0.000057348352,0.034006458,0.000021930444,0.00007177143,0.00012530894,0.0000257524,0.9625822,0.0015057544,0.00019650608,0.00020689449,0.0011070289],"study_design_scores_gemma":[0.000041997788,0.00006622395,0.030073678,0.000008087642,0.000040463514,0.000021091186,0.000090299094,0.9684023,0.0007517752,0.00013862769,0.00034816377,0.000017353092],"about_ca_topic_score_codex":0.4235005,"about_ca_topic_score_gemma":0.4130223,"teacher_disagreement_score":0.4235005,"about_ca_system_score_codex":0.0031519847,"about_ca_system_score_gemma":0.0019357097,"threshold_uncertainty_score":0.84207094},"labels":[],"label_agreement":null},{"id":"W2346090716","doi":"10.5194/bg-13-5043-2016","title":"A multi-scale comparison of modeled and observed seasonal methane emissions in northern wetlands","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Division of Polar Programs; National Oceanic and Atmospheric Administration; Sight Research UK; National Aeronautics and Space Administration; Office of Polar Programs; Natural Environment Research Council; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Atmospheric sciences; Wetland; Methane; Weather Research and Forecasting Model; Climatology; Ecology; Geology","score_opus":0.02888793915768986,"score_gpt":0.25200842129845114,"score_spread":0.22312048214076127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346090716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992932,0.000012067432,0.00025278606,0.0000064739584,0.0000017326424,0.0000026652156,0.00021496744,0.00003354933,0.0001823511],"genre_scores_gemma":[0.99914086,0.000007968331,0.0003541106,0.0000018360874,0.0000011316068,0.0000047755193,0.00042963857,0.000003379472,0.00005616137],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999194,0.000019314897,0.0000045669294,0.00002942374,0.000012075455,0.00001521391],"domain_scores_gemma":[0.99985814,0.000046804693,0.000023514729,0.000018614495,0.00003389491,0.000019127077],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032260714,0.00024635636,0.00016211768,0.000283757,0.0002206699,0.00024004294,0.00023838527,0.000239696,0.00035073105],"category_scores_gemma":[0.00034145807,0.00013124512,0.00038959048,0.00027495125,0.00011575167,0.00035432808,0.00019077698,0.00013876535,0.00006402715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012770052,0.0005068426,0.63750273,0.000104553554,0.0003424745,0.0003867296,0.00025617785,0.29718897,0.037384823,0.000330525,0.0008172315,0.023901874],"study_design_scores_gemma":[0.000043632004,0.00014737406,0.60811937,0.000008909416,0.0000770414,0.00003274056,0.00014550757,0.38317522,0.007581043,0.00009693134,0.0005459827,0.000026349611],"about_ca_topic_score_codex":0.03401653,"about_ca_topic_score_gemma":0.038422775,"teacher_disagreement_score":0.03401653,"about_ca_system_score_codex":0.0005811393,"about_ca_system_score_gemma":0.0003185512,"threshold_uncertainty_score":0.06763703},"labels":[],"label_agreement":null},{"id":"W2403024669","doi":"10.5194/bg-13-4659-2016","title":"Inorganic carbon cycling and biogeochemical processes in an Arctic inlandsea (Hudson Bay)","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Manitoba; Fisheries and Oceans Canada; University of British Columbia; Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; ArcticNet; Klima- og miljødepartementet; Framsenteret; Norsk Polarinstitutt","keywords":"Bay; Oceanography; Biogeochemical cycle; Dissolved organic carbon; Alkalinity; Total inorganic carbon; Carbon cycle; Biogeochemistry; Surface water; Environmental science; Arctic; Carbonate; Geology; Ecosystem; Carbon dioxide; Environmental chemistry; Chemistry; Ecology","score_opus":0.01179091107256408,"score_gpt":0.21339735722989628,"score_spread":0.2016064461573322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403024669","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934214,0.000103427694,0.000046323137,0.000012582588,0.00000420658,0.0000022660226,0.00020526687,0.0000040274363,0.00027969165],"genre_scores_gemma":[0.9990976,0.0001052931,0.00020883951,0.000015533042,0.0000033051704,0.00000287634,0.00024811353,0.000001310465,0.00031708853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999213,0.0000088485285,0.0000059310833,0.000021691112,0.000020939306,0.000021143544],"domain_scores_gemma":[0.9998399,0.00001207491,0.00003031408,0.000006649962,0.00006694814,0.000044096632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020422514,0.0003069724,0.0002132809,0.00076597993,0.00064171874,0.0007421471,0.00017482584,0.00012373958,0.0005043133],"category_scores_gemma":[0.0002064449,0.00017132991,0.0001449392,0.00082479016,0.00024320709,0.00018332357,0.00039140787,0.00011845157,0.000099024786],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020121045,0.000053866406,0.96843755,0.000046579313,0.000083043335,0.00023665375,0.00066593406,0.00047829974,0.020227822,0.00008490837,0.000248002,0.009236194],"study_design_scores_gemma":[0.0000046475875,0.000030470686,0.9977435,0.000005564376,0.000016887188,0.000035696212,0.00049744494,0.0004237977,0.0006931473,0.000015837664,0.0005307639,0.000002381919],"about_ca_topic_score_codex":0.5023277,"about_ca_topic_score_gemma":0.5974318,"teacher_disagreement_score":0.49767232,"about_ca_system_score_codex":0.0024233668,"about_ca_system_score_gemma":0.0012760905,"threshold_uncertainty_score":0.9988076},"labels":[],"label_agreement":null},{"id":"W2489833862","doi":"10.5194/bg-13-4315-2016","title":"Decadal and long-term boreal soil carbon and nitrogen sequestration ratesacross a variety of ecosystems","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"U.S. Geological Survey; U.S. Department of Agriculture; U.S. Forest Service; National Science Foundation","keywords":"Ecosystem; Boreal; Environmental science; Tussock; Taiga; Carbon cycle; Nitrogen cycle; Soil water; Cycling; Shrub; Black spruce; Terrestrial ecosystem; Carbon sequestration; Forest ecology; Ecology; Nitrogen; Carbon dioxide; Chemistry; Soil science; Forestry; Biology; Geography","score_opus":0.009664447678686582,"score_gpt":0.2278675181592523,"score_spread":0.21820307048056573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2489833862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987777,0.00021148536,0.00022055708,0.000012066085,0.0000032593516,0.0000014342359,0.0003738822,0.000008447145,0.0003911157],"genre_scores_gemma":[0.9992009,0.00008300247,0.00020540859,0.000008694018,0.000003281384,0.0000036832703,0.00032530518,0.0000021260103,0.00016749778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999324,0.0000075000207,0.0000063254397,0.000027977021,0.000012566665,0.000013229646],"domain_scores_gemma":[0.99966526,0.000040320152,0.0001564935,0.00002970335,0.0000722985,0.000035943387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003777645,0.00021247003,0.00012280719,0.0005052501,0.0002536495,0.00039428103,0.00014732187,0.00018401691,0.00061989424],"category_scores_gemma":[0.00040989206,0.00007281989,0.0001718317,0.00038186007,0.00014168576,0.0006200475,0.00022045516,0.00017671347,0.00009044411],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011093428,0.00003345393,0.9664592,0.000038092006,0.00014310362,0.000059236645,0.00015541427,0.00077622803,0.02119031,0.00012880475,0.00014319782,0.01076204],"study_design_scores_gemma":[6.96645e-7,0.000015012163,0.998855,0.0000020743425,0.0000103266075,0.000041071766,0.000041778316,0.00031823257,0.0004633755,0.000031247688,0.00021820636,0.0000028760142],"about_ca_topic_score_codex":0.0062454655,"about_ca_topic_score_gemma":0.017541029,"teacher_disagreement_score":0.0062454655,"about_ca_system_score_codex":0.0002814952,"about_ca_system_score_gemma":0.00011861253,"threshold_uncertainty_score":0.0124182105},"labels":[],"label_agreement":null},{"id":"W2505200869","doi":"10.5194/bg-14-1235-2017","title":"Spring phytoplankton communities of the Labrador Sea (2005–2014): pigment signatures, photophysiology and elemental ratios","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Australian Antarctic Division; Ciência sem Fronteiras; Natural Environment Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Sight Research UK","keywords":"Phytoplankton; Oceanography; Biogeochemical cycle; Spring bloom; Diatom; Chlorophyll a; Hydrography; Environmental science; Bloom; Arctic; Deep chlorophyll maximum; Ecology; Biology; Geology; Photic zone; Botany; Nutrient","score_opus":0.012748565807603227,"score_gpt":0.2090487207995633,"score_spread":0.19630015499196007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505200869","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814665,0.00018775991,0.00004797044,0.0000091071015,0.0000020108173,0.000003144558,0.0010794539,0.000010242934,0.0005137161],"genre_scores_gemma":[0.99720144,0.000102582446,0.00019258438,0.00001593671,0.0000042342162,0.0000058868686,0.0017552275,0.000005103428,0.0007170929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988854,0.000011345545,0.000012705052,0.00003974384,0.000016249527,0.00003134877],"domain_scores_gemma":[0.9998203,0.0000077570585,0.00007930232,0.000013447078,0.00005024679,0.00002896127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017482448,0.00040511065,0.00021800144,0.0009821324,0.00041266985,0.00062248117,0.00026877996,0.00015762688,0.0012207034],"category_scores_gemma":[0.00017920046,0.0001362729,0.00034708116,0.001131937,0.00016584102,0.00033114286,0.00028756383,0.00016037904,0.00042237982],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017101558,0.000042545118,0.9750608,0.00005172792,0.00011128906,0.00007237706,0.00035487092,0.00015606053,0.010677211,0.000025896132,0.0002905424,0.012985537],"study_design_scores_gemma":[0.0000010049597,0.000017048695,0.99912494,0.000002754174,0.000008602038,0.000017201837,0.00013225325,0.000041655992,0.00044976373,0.000002091422,0.00020117922,0.0000015939996],"about_ca_topic_score_codex":0.059584267,"about_ca_topic_score_gemma":0.11621823,"teacher_disagreement_score":0.94041574,"about_ca_system_score_codex":0.0007542867,"about_ca_system_score_gemma":0.00035431862,"threshold_uncertainty_score":0.1184749},"labels":[],"label_agreement":null},{"id":"W2508537155","doi":"10.5194/bg-13-4627-2016","title":"Stand structural diversity rather than species diversity enhancesaboveground carbon storage in secondary subtropical forests in Eastern China","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":224,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Lakehead University","funders":"East China Normal University; National Natural Science Foundation of China","keywords":"Species diversity; Subtropics; Diversity index; Ecology; Biology; Diversity (politics); Gamma diversity; Alpha diversity; Environmental science; Species richness","score_opus":0.01072821534945064,"score_gpt":0.201901044090739,"score_spread":0.19117282874128835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2508537155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997732,0.00004070796,0.00003653941,0.000007673216,4.967066e-7,9.349103e-7,0.000028113132,0.000001627002,0.000110879446],"genre_scores_gemma":[0.9998311,0.00002097807,0.000034297085,0.0000043625896,9.293789e-7,9.913597e-7,0.00003520806,4.1171145e-7,0.000071718285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998467,0.000029378309,0.00001437454,0.0000460483,0.000029785904,0.000033632423],"domain_scores_gemma":[0.9997079,0.000058613005,0.00008154537,0.000024631581,0.000051653577,0.000075748714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004806313,0.0003164013,0.00022971447,0.0006977032,0.00039942702,0.000374328,0.00020833353,0.00013641357,0.0008711718],"category_scores_gemma":[0.00041587916,0.00013701688,0.00030698557,0.00074546726,0.00036905217,0.00029586005,0.00039065487,0.00011193399,0.000063468964],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004305363,0.000025167314,0.99013317,0.000027965241,0.00009523723,0.00012558253,0.0004580427,0.00032641672,0.0040621976,0.00008236737,0.00004521868,0.004575659],"study_design_scores_gemma":[7.8590045e-7,0.000008624973,0.9994355,0.0000014916742,0.0000071872646,0.000012718007,0.000106162915,0.0002850911,0.000074427146,0.000025530151,0.000041052117,0.000001275236],"about_ca_topic_score_codex":0.019088857,"about_ca_topic_score_gemma":0.06073822,"teacher_disagreement_score":0.019088857,"about_ca_system_score_codex":0.00047643413,"about_ca_system_score_gemma":0.0004576323,"threshold_uncertainty_score":0.037955523},"labels":[],"label_agreement":null},{"id":"W2523480608","doi":"10.5194/bg-13-5245-2016","title":"Effect of cover crops on greenhouse gas emissions in an irrigated fieldunder integrated soil fertility management","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Universidad Politécnica de Madrid; Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Comunidad de Madrid","keywords":"Agronomy; Greenhouse gas; Environmental science; Hordeum vulgare; Soil fertility; Soil carbon; Cover crop; Soil water; Poaceae; Biology; Soil science","score_opus":0.016125152578508852,"score_gpt":0.24508769818545267,"score_spread":0.22896254560694382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523480608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998047,0.000029247394,0.0000526165,0.0000055525966,0.000003414754,0.0000073458305,0.000034625482,0.0000034212012,0.000059063164],"genre_scores_gemma":[0.99845874,0.00007345998,0.0006540125,0.00004608487,0.0000068049326,0.000035847555,0.00021201992,0.0000032117932,0.00050979474],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.00002619013,0.000008376379,0.000062110776,0.000022703915,0.00003119292],"domain_scores_gemma":[0.99961084,0.00006598987,0.00010334841,0.000032407697,0.00004805941,0.00013941801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002459928,0.00038229447,0.00034438353,0.0001891995,0.00028566006,0.0002930944,0.00032566147,0.0002448565,0.00057372294],"category_scores_gemma":[0.00023422402,0.0001355761,0.00021367923,0.00015483334,0.0002606187,0.00022530225,0.0002183147,0.0002718849,0.00006913199],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005918769,0.0017120092,0.037133045,0.00012490251,0.000100579295,0.00019239617,0.00016367003,0.001190788,0.9396658,0.00005349067,0.0001495352,0.013595044],"study_design_scores_gemma":[0.00047005838,0.029962957,0.7893581,0.000025387968,0.00025501885,0.00013686049,0.00051738805,0.01023964,0.1661734,0.00015487573,0.002653679,0.000052718242],"about_ca_topic_score_codex":0.0076448317,"about_ca_topic_score_gemma":0.014475084,"teacher_disagreement_score":0.0076448317,"about_ca_system_score_codex":0.00078518095,"about_ca_system_score_gemma":0.0005290598,"threshold_uncertainty_score":0.0152006745},"labels":[],"label_agreement":null},{"id":"W2529683671","doi":"10.5194/bg-14-3129-2017","title":"Implications of sea-ice biogeochemistry for oceanic production and emissions of dimethyl sulfide in the Arctic","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of Manitoba; Fisheries and Oceans Canada; University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; University of Alberta; ArcticNet","keywords":"Dimethyl sulfide; Dimethylsulfoniopropionate; Sea ice; Biogeochemistry; Oceanography; Water column; Arctic; Arctic ice pack; Environmental science; Bloom; Phytoplankton; Sulfur cycle; Carbon cycle; Geology; Sulfate; Ecosystem; Sulfur; Chemistry; Nutrient; Ecology","score_opus":0.026095236008508476,"score_gpt":0.26218766324814,"score_spread":0.23609242723963156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529683671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979226,0.000096973454,0.00091444777,0.0000671704,0.000013148522,0.00000760228,0.00024319097,0.000018501336,0.00071634963],"genre_scores_gemma":[0.99936336,0.00007385248,0.00029444855,0.000012324369,0.0000028545164,0.0000064736223,0.00011715304,0.000006257097,0.00012327103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998965,0.000033143704,0.000008263727,0.000023645885,0.00001223076,0.000026112426],"domain_scores_gemma":[0.9998247,0.00006982549,0.000025693784,0.000011329879,0.000034456985,0.00003398547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042265953,0.00078698207,0.00047552105,0.00028140715,0.00053672615,0.0009664753,0.00053311855,0.0006303732,0.00070117676],"category_scores_gemma":[0.00057149626,0.00041481346,0.0011069814,0.00022630939,0.00039553276,0.00047051057,0.00046972634,0.00035811524,0.00009918545],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022251837,0.000105225576,0.0682372,0.000057439,0.00013699668,0.00021681283,0.000047541052,0.9086685,0.019934287,0.0005755651,0.0001146116,0.0016833073],"study_design_scores_gemma":[0.000060130445,0.00014263808,0.032103084,0.000013287035,0.000066064116,0.000023982213,0.000080720056,0.96193355,0.0050221533,0.00029246366,0.00024142882,0.000020549374],"about_ca_topic_score_codex":0.0575169,"about_ca_topic_score_gemma":0.029678153,"teacher_disagreement_score":0.0575169,"about_ca_system_score_codex":0.0020260408,"about_ca_system_score_gemma":0.0014467672,"threshold_uncertainty_score":0.11436421},"labels":[],"label_agreement":null},{"id":"W2543851324","doi":"10.5194/bg-13-5849-2016","title":"The importance of freshwater systems to the net atmospheric exchange ofcarbon dioxide and methane with a rapidly changing high Arctic watershed","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Indigenous and Northern Affairs Canada; Government of Canada; ArcticNet; Natural Resources Canada; Association of Canadian Universities for Northern Studies; University of Alberta; Parks Canada","keywords":"Environmental science; Watershed; Arctic; Wetland; Ecosystem; Total organic carbon; Carbon dioxide; Greenhouse gas; Methane; Hydrology (agriculture); Oceanography; Ecology; Geology; Biology","score_opus":0.01716104748206687,"score_gpt":0.20657237266129846,"score_spread":0.1894113251792316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543851324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991726,0.000070652204,0.00010583975,0.00001929587,0.0000012626217,0.0000023081836,0.00008182226,0.0000030921333,0.0005428755],"genre_scores_gemma":[0.99972206,0.00003855363,0.0001043202,0.000006939782,0.0000019571119,0.0000017599509,0.000055141267,0.0000013350965,0.00006789138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997712,0.000042363296,0.000013080179,0.0000633344,0.000048794696,0.00006122392],"domain_scores_gemma":[0.99924207,0.000098647455,0.0001959709,0.000026432364,0.0002683652,0.00016853468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033378944,0.00019455027,0.00024480748,0.0008629276,0.0011267618,0.0011640681,0.0002609148,0.00015915514,0.0005785765],"category_scores_gemma":[0.0008564432,0.00012093345,0.00020712454,0.0008667277,0.00078209984,0.0004930344,0.00075098174,0.00017446064,0.00004562895],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007279995,0.000010682775,0.9866288,0.00002113236,0.00005754152,0.00010375516,0.00049184135,0.000498039,0.008210558,0.00020840904,0.000075106575,0.003621223],"study_design_scores_gemma":[5.9000723e-7,0.0000051838674,0.99887055,0.000002939841,0.000008410381,0.000020054487,0.00031356557,0.00040789272,0.0001891312,0.000034513945,0.00014497292,0.0000022080549],"about_ca_topic_score_codex":0.21153371,"about_ca_topic_score_gemma":0.32794914,"teacher_disagreement_score":0.21153371,"about_ca_system_score_codex":0.0022710024,"about_ca_system_score_gemma":0.0013598306,"threshold_uncertainty_score":0.42060494},"labels":[],"label_agreement":null},{"id":"W2546500873","doi":"10.5194/bg-14-2799-2017","title":"Annual greenhouse gas budget for a bog ecosystem undergoing restoration by rewetting","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Parks Canada; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Peat; Bog; Environmental science; Sphagnum; Ecosystem; Ecosystem respiration; Greenhouse gas; Wetland; Eddy covariance; Sink (geography); Mire; Carbon sink; Hydrology (agriculture); Carbon dioxide; Ecology; Geography; Geology; Biology","score_opus":0.014103531948396872,"score_gpt":0.249455023946972,"score_spread":0.23535149199857514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2546500873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99958235,0.00001594078,0.00004203919,0.0000070415117,0.0000010789779,0.000003349182,0.00015434803,0.0000055273995,0.00018841863],"genre_scores_gemma":[0.99928445,0.000022638304,0.00020661841,0.0000085468055,0.0000010598128,0.000005179901,0.0002752597,0.0000020707823,0.00019416814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999567,0.000003090537,0.000002206808,0.000010120847,0.000010646588,0.000017202357],"domain_scores_gemma":[0.9999199,0.0000047769004,0.000013476752,0.0000045962934,0.000030357416,0.00002685627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100900965,0.00022573961,0.00020611152,0.00028244147,0.00077205617,0.00035888166,0.0002478205,0.00017413091,0.00031509303],"category_scores_gemma":[0.000094934716,0.000095159136,0.0001825653,0.00025621252,0.00017771515,0.00020679597,0.0001973355,0.00016706644,0.000057243084],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059641834,0.00031494838,0.8471429,0.000096662065,0.00012346101,0.0006520482,0.0005516515,0.011263697,0.120891884,0.00016081003,0.0007097488,0.01749581],"study_design_scores_gemma":[0.0000060124967,0.000047569818,0.9900996,0.0000043815494,0.000016155946,0.00005165438,0.0003340397,0.007558988,0.0014856308,0.000019514722,0.000369409,0.000006974738],"about_ca_topic_score_codex":0.40942615,"about_ca_topic_score_gemma":0.61969274,"teacher_disagreement_score":0.40942615,"about_ca_system_score_codex":0.0023505855,"about_ca_system_score_gemma":0.0011271863,"threshold_uncertainty_score":0.8140861},"labels":[],"label_agreement":null},{"id":"W2550611397","doi":"10.5194/bg-14-4533-2017","title":"Soil moisture control of sap-flow response to biophysical factors in a desert-shrub species, <i>Artemisia ordosica</i>","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; Beijing Forestry University; National Natural Science Foundation of China; Academy of Finland; Itä-Suomen Yliopisto","keywords":"Transpiration; Vapour Pressure Deficit; Ecohydrology; Environmental science; Shrub; Water content; Stomatal conductance; Hydrology (agriculture); Soil water; Agronomy; Ecosystem; Atmospheric sciences; Ecology; Botany; Biology; Soil science; Photosynthesis","score_opus":0.010485075688953318,"score_gpt":0.2179685340755681,"score_spread":0.20748345838661478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550611397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99943954,0.000081064754,0.00016591218,0.0000066172556,0.0000013087748,0.0000021997262,0.00011048825,0.000012414634,0.00018039043],"genre_scores_gemma":[0.99962366,0.00002654018,0.00012571708,0.000010962849,0.0000012897038,0.0000033907859,0.00012715557,0.0000024207538,0.000078894285],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994755,0.000010297344,0.0000058067417,0.000020925325,0.000007477608,0.000007834613],"domain_scores_gemma":[0.99984884,0.00002454875,0.00005393697,0.0000114454,0.000027489046,0.000033575416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001122691,0.00020797667,0.00019677953,0.0003480298,0.00021724739,0.0002352975,0.00016848688,0.00012546738,0.00036004558],"category_scores_gemma":[0.00016123125,0.00010287448,0.0001536261,0.0002039422,0.00014838317,0.00018773442,0.00019933644,0.00017948741,0.000066847075],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027188746,0.000060936152,0.21159807,0.00011514997,0.00008542046,0.00017632527,0.000282782,0.00068473007,0.7774731,0.000079746314,0.000107498876,0.009064212],"study_design_scores_gemma":[0.000004539448,0.000061846426,0.9927791,0.0000020453501,0.0000133925105,0.000063261105,0.00007580972,0.0010631905,0.0056300084,0.000029694029,0.0002726818,0.000004437448],"about_ca_topic_score_codex":0.0047655148,"about_ca_topic_score_gemma":0.006688785,"teacher_disagreement_score":0.0047655148,"about_ca_system_score_codex":0.0002765895,"about_ca_system_score_gemma":0.000104303006,"threshold_uncertainty_score":0.009475529},"labels":[],"label_agreement":null},{"id":"W2550957252","doi":"10.5194/bg-14-1919-2017","title":"The roles of resuspension, diffusion and biogeochemical processes on oxygen dynamics offshore of the Rhône River, France: a numerical modeling study","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Office of Naval Research; Dalhousie University; Commonwealth of Virginia; National Oceanic and Atmospheric Administration; Agence Nationale de la Recherche; Center for Sponsored Coastal Ocean Research; National Science Foundation","keywords":"Biogeochemical cycle; Seabed; Sediment; Environmental science; Water column; Biogeochemistry; Sediment–water interface; Oceanography; Hydrology (agriculture); Geology; Environmental chemistry; Chemistry; Geomorphology","score_opus":0.012733920223985668,"score_gpt":0.22099578026955682,"score_spread":0.20826186004557115,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550957252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947077,0.00009160416,0.0015303008,0.00016163505,0.000008572106,0.000028025084,0.00027112957,0.000068316425,0.003132674],"genre_scores_gemma":[0.9959388,0.000117673444,0.0025202245,0.000036479545,0.000009708208,0.00005278858,0.0002653983,0.0000171203,0.0010418358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998267,0.00006180477,0.00001270904,0.00003583787,0.000023104405,0.000039735965],"domain_scores_gemma":[0.9993197,0.0003739521,0.00009800226,0.000049754442,0.00009516749,0.000063405554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043403637,0.00078058575,0.0006161254,0.00062318245,0.00076147163,0.0011955559,0.0009509637,0.0015722137,0.0012036907],"category_scores_gemma":[0.0011106118,0.00046816538,0.0010041978,0.0005006529,0.00063930295,0.000562947,0.00069446827,0.0006131913,0.00013758181],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006447983,0.00009555163,0.014966046,0.000030444959,0.000046723402,0.00020266436,0.00006867692,0.98071665,0.0014596838,0.00054782955,0.00018576079,0.001615373],"study_design_scores_gemma":[0.000044471155,0.00004037172,0.0037420946,0.0000060871266,0.000016932665,0.000010483083,0.000043568856,0.99548054,0.00026558246,0.00007721891,0.0002626163,0.000010002342],"about_ca_topic_score_codex":0.17312929,"about_ca_topic_score_gemma":0.08125945,"teacher_disagreement_score":0.17312929,"about_ca_system_score_codex":0.0023370206,"about_ca_system_score_gemma":0.0016419832,"threshold_uncertainty_score":0.3442431},"labels":[],"label_agreement":null},{"id":"W2551026224","doi":"10.5194/bg-14-2955-2017","title":"Biological and environmental rhythms in (dark) deep-sea hydrothermal ecosystems","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Fundação para a Ciência e a Tecnologia; Agence Nationale de la Recherche","keywords":"Hydrothermal vent; Oceanography; Rhythm; Ecology; Ecosystem; Deep sea; Fauna; Geology; Hydrothermal circulation; Environmental science; Geography; Biology; Paleontology","score_opus":0.025524515354261115,"score_gpt":0.23934278190431585,"score_spread":0.21381826655005473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551026224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996105,0.000028033119,0.000054526095,0.0000055242085,0.0000012534275,0.0000019217855,0.000102546364,0.0000017418821,0.000193989],"genre_scores_gemma":[0.99954456,0.00001493828,0.00009026213,0.000007673261,0.0000020296202,0.0000031274853,0.00016632887,0.0000012615136,0.00016974696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995244,0.000006798014,0.0000031737618,0.000016296193,0.000008590513,0.000012701381],"domain_scores_gemma":[0.99964833,0.000031179476,0.00012309139,0.000015006517,0.000050913688,0.00013147008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013133764,0.000101935664,0.00010849,0.00042166974,0.00021597516,0.00027660377,0.000104332954,0.00013366985,0.00076175795],"category_scores_gemma":[0.00034627836,0.00010203311,0.00006368231,0.00023343746,0.00025260786,0.00019991756,0.00041409463,0.00015830695,0.000085687294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000291391,0.000068342175,0.910058,0.000038254602,0.000036067617,0.00011234618,0.0009489045,0.00013000495,0.08112288,0.000081993785,0.0001224653,0.006989224],"study_design_scores_gemma":[9.954347e-7,0.000023125498,0.99952054,8.320928e-7,0.0000016187373,0.000010161201,0.000098419216,0.00003732236,0.00022248429,0.00000969916,0.000073933166,9.4137334e-7],"about_ca_topic_score_codex":0.0041966443,"about_ca_topic_score_gemma":0.017997714,"teacher_disagreement_score":0.0041966443,"about_ca_system_score_codex":0.00024844863,"about_ca_system_score_gemma":0.00013203165,"threshold_uncertainty_score":0.008344412},"labels":[],"label_agreement":null},{"id":"W2556733294","doi":"10.5194/bg-14-1811-2017","title":"Export of calcium carbonate corrosive waters from the East Siberian Sea","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vetenskapsrådet; Knut och Alice Wallenbergs Stiftelse; Svenska Forskningsrådet Formas","keywords":"Aragonite; Oceanography; Geology; Calcite; Canada Basin; Calcium carbonate; Continental shelf; Arctic; Biogeochemical cycle; Carbonate; Sea ice; Salinity; Geochemistry; Chemistry; Environmental chemistry","score_opus":0.033624051841771474,"score_gpt":0.24327809152330146,"score_spread":0.20965403968152999,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2556733294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959092,0.0002615589,0.00006392408,0.00006673737,0.0000141882165,0.000003347977,0.0006565238,0.00001601506,0.003008551],"genre_scores_gemma":[0.99675745,0.00019897375,0.000110614485,0.000039191582,0.0000079490355,0.0000028788154,0.0010474796,0.0000064248566,0.0018290562],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994373,0.0000033387632,0.000007172598,0.000014353606,0.000019179517,0.000012188057],"domain_scores_gemma":[0.9998865,0.000008277984,0.00003273288,0.0000073886595,0.000042153286,0.000022802993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013847456,0.00036643527,0.00023621666,0.00078376953,0.000777062,0.0007728191,0.0001338899,0.00015067152,0.0021219845],"category_scores_gemma":[0.00018263946,0.00012321727,0.0002268404,0.0010928232,0.00017580978,0.00029854735,0.0005022254,0.00023249145,0.00037762494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020913024,0.00003704522,0.9407399,0.0001419895,0.000099522,0.0016367082,0.0009264901,0.00060536416,0.024239779,0.0001368917,0.0011437637,0.030083371],"study_design_scores_gemma":[0.000005795821,0.000020128582,0.9957415,0.000015541871,0.000020709287,0.00017431045,0.0004197348,0.0005217003,0.0014398193,0.000029450623,0.0016074013,0.000003917828],"about_ca_topic_score_codex":0.065150715,"about_ca_topic_score_gemma":0.059131622,"teacher_disagreement_score":0.065150715,"about_ca_system_score_codex":0.0007014938,"about_ca_system_score_gemma":0.0010925059,"threshold_uncertainty_score":0.129543},"labels":[],"label_agreement":null},{"id":"W2557184153","doi":"10.5194/bg-14-1093-2017","title":"Separating overstory and understory leaf area indices for global needleleaf and deciduous broadleaf forests by fusion of MODIS and MISR data","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"State Key Laboratory of Resources and Environmental Information System; Eesti Teadusfondi; National Natural Science Foundation of China","keywords":"Understory; Deciduous; Environmental science; Leaf area index; Evergreen; Forest floor; Taiga; Vegetation (pathology); Canopy; Forestry; Ecology; Geography; Biology; Soil science; Soil water","score_opus":0.034548825015476334,"score_gpt":0.27488668704475167,"score_spread":0.24033786202927532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2557184153","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99401605,0.00023485256,0.0044943253,0.000012630469,0.0000068241097,0.000012054272,0.0006486439,0.00012303029,0.00045149567],"genre_scores_gemma":[0.98896027,0.00009069212,0.008893412,0.0000148667405,0.0000064235956,0.000011162605,0.001802324,0.000018300902,0.00020260061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998635,0.000019790017,0.000014518313,0.00004909295,0.00002695953,0.000026117192],"domain_scores_gemma":[0.99982184,0.00002945641,0.000052824857,0.00002428362,0.00004428506,0.000027260816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047661038,0.00040918755,0.0002642026,0.0009734194,0.00014934059,0.00040255336,0.00014359316,0.00017712255,0.00038029507],"category_scores_gemma":[0.00040792584,0.0001522772,0.0003588854,0.0005873143,0.00007411793,0.00039553238,0.00024437768,0.00009480878,0.00016573256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002524101,0.00010577796,0.8160944,0.0001089874,0.0001955665,0.00012715407,0.00027139735,0.0055213724,0.069832094,0.00013547593,0.00053034624,0.10682502],"study_design_scores_gemma":[0.000009416274,0.00004063862,0.9657359,0.000013468421,0.000055435536,0.000075797856,0.00013379888,0.028895881,0.00437863,0.00011129477,0.0005389912,0.000010791221],"about_ca_topic_score_codex":0.005707496,"about_ca_topic_score_gemma":0.020192884,"teacher_disagreement_score":0.005707496,"about_ca_system_score_codex":0.00023800622,"about_ca_system_score_gemma":0.0002724937,"threshold_uncertainty_score":0.011348546},"labels":[],"label_agreement":null},{"id":"W2558138207","doi":"10.5194/bg-14-2715-2017","title":"Coastal sources, sinks and strong organic complexation of dissolved cobalt within the US North Atlantic GEOTRACES transect GA03","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Gordon and Betty Moore Foundation; National Science Foundation","keywords":"Cobalt; Geotraces; Oxygen minimum zone; Geology; Oceanography; Water column; Plume; Environmental chemistry; Transect; Chemistry; Inorganic chemistry; Upwelling","score_opus":0.02607569880028309,"score_gpt":0.25187206151345504,"score_spread":0.22579636271317194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558138207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986364,0.000040233735,0.000034493587,0.000032824577,0.0000032923658,0.0000043621585,0.0004848866,0.0000061056558,0.000757198],"genre_scores_gemma":[0.99799216,0.00008063946,0.00024627577,0.000039716764,0.000002546003,0.000010116736,0.000741784,0.000006754126,0.0008801257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992955,0.0000047182284,0.00000359765,0.000023994298,0.000021242144,0.000016993537],"domain_scores_gemma":[0.99979705,0.000011197914,0.000051778632,0.000009274247,0.00008831064,0.000042511427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000847825,0.00020097524,0.00015237046,0.00054128905,0.00053112884,0.00043733174,0.00019013465,0.00018729137,0.000663225],"category_scores_gemma":[0.00020756462,0.00015077558,0.00017478499,0.0005358196,0.00021325996,0.00018510692,0.0005038833,0.0002474864,0.00012943678],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012775417,0.000019671004,0.9586249,0.000028162369,0.00005137788,0.0002450709,0.0008702665,0.00014081413,0.033527225,0.000047294026,0.0005623304,0.0057552434],"study_design_scores_gemma":[0.000001913114,0.000011185024,0.99840146,0.000003892731,0.000007998487,0.00002790559,0.00043039693,0.00011513917,0.00044857184,0.000004355048,0.0005450974,0.0000021448534],"about_ca_topic_score_codex":0.4640229,"about_ca_topic_score_gemma":0.78524005,"teacher_disagreement_score":0.4640229,"about_ca_system_score_codex":0.001365567,"about_ca_system_score_gemma":0.0011757587,"threshold_uncertainty_score":0.92264396},"labels":[],"label_agreement":null},{"id":"W2559030929","doi":"10.5194/bg-14-2571-2017","title":"Modelling Holocene peatland dynamics with an individual-based dynamic vegetation model","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Lunds Universitet","keywords":"Peat; Mire; Permafrost; Environmental science; Bog; Vegetation (pathology); Biogeochemical cycle; Climate change; Soil carbon; Carbon cycle; Ecosystem; Atmospheric sciences; Hydrology (agriculture); Physical geography; Ecology; Geology; Soil science; Soil water; Oceanography; Geography","score_opus":0.021756165662988054,"score_gpt":0.2501550681210508,"score_spread":0.22839890245806277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559030929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95526356,0.00016131181,0.037074514,0.00018887772,0.000048123387,0.000033685083,0.0012031135,0.00027495596,0.0057519143],"genre_scores_gemma":[0.9929109,0.00006599719,0.005413158,0.000019626783,0.0000086285945,0.000037093163,0.00043338933,0.000022008893,0.0010890706],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999299,0.000017651659,0.0000039903916,0.000021568481,0.000010513402,0.000016425813],"domain_scores_gemma":[0.99978083,0.00008771185,0.000030479725,0.000017715956,0.00004515734,0.000038096787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025897103,0.00044683128,0.00041030272,0.0003568939,0.00038955762,0.0008352832,0.00087455596,0.0009052697,0.0011003127],"category_scores_gemma":[0.0005927882,0.00032191863,0.00062129984,0.00034948922,0.00035367487,0.00046991554,0.0003928658,0.00058665435,0.00015017396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000147222945,0.000014587175,0.001605681,0.0000050340827,0.000017522016,0.000022007795,0.000008601142,0.9970487,0.00025105846,0.0003054916,0.00006849602,0.0006380489],"study_design_scores_gemma":[0.0000049253767,0.000005254795,0.0006408877,0.0000015270566,0.000004327863,0.0000035730336,0.000005014815,0.99900836,0.000053153806,0.00013404652,0.00013611073,0.0000027095502],"about_ca_topic_score_codex":0.07896499,"about_ca_topic_score_gemma":0.05238378,"teacher_disagreement_score":0.07896499,"about_ca_system_score_codex":0.0011375053,"about_ca_system_score_gemma":0.0010321863,"threshold_uncertainty_score":0.15701073},"labels":[],"label_agreement":null},{"id":"W2560454723","doi":"10.5194/bg-14-2407-2017","title":"Impact of ocean acidification on Arctic phytoplankton blooms and dimethyl sulfide concentration under simulated ice-free and under-ice conditions","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia; Fisheries and Oceans Canada; Université du Québec à Rimouski; Dalhousie University; Université Laval","funders":"Fisheries and Oceans Canada; Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Phytoplankton; Dimethylsulfoniopropionate; Dimethyl sulfide; Chlorophyll a; Oceanography; Diatom; Microcosm; Ocean acidification; Bloom; Arctic; Chaetoceros; Chemistry; Environmental chemistry; Bay; Sea ice; Chlorophyll; Environmental science; Nutrient; Seawater; Geology","score_opus":0.02484219377041104,"score_gpt":0.28523016285586983,"score_spread":0.2603879690854588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560454723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99973994,0.000026343892,0.000051475836,0.000004949762,0.0000025920422,0.0000035815544,0.00007378751,0.0000014300289,0.00009584887],"genre_scores_gemma":[0.99916697,0.000061449784,0.00026851989,0.00001920822,0.0000026724174,0.0000121212215,0.00026059168,0.0000019659444,0.0002066883],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988425,0.000024821193,0.000008263806,0.000029629327,0.000023318955,0.000029726918],"domain_scores_gemma":[0.9998165,0.000041935225,0.000045822966,0.000013116336,0.00003634775,0.000046356174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021856379,0.00038423,0.0003403964,0.000105403844,0.00029224614,0.00046743787,0.00019378198,0.00027658662,0.00052572414],"category_scores_gemma":[0.00022482136,0.00015372854,0.00019265724,0.00010460241,0.00023524479,0.0002044888,0.00029959693,0.00033525552,0.00006617534],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049457173,0.0002422333,0.118248984,0.00010454115,0.00008284986,0.00017550978,0.0001827284,0.0018621329,0.87107337,0.000047039837,0.00006379657,0.002971181],"study_design_scores_gemma":[0.0001059809,0.004007532,0.6401481,0.000017980527,0.00013567683,0.00010436469,0.00055665756,0.0064674946,0.34727526,0.00006975139,0.0010822709,0.00002893731],"about_ca_topic_score_codex":0.014344978,"about_ca_topic_score_gemma":0.017853504,"teacher_disagreement_score":0.014344978,"about_ca_system_score_codex":0.00073294225,"about_ca_system_score_gemma":0.000488745,"threshold_uncertainty_score":0.028522968},"labels":[],"label_agreement":null},{"id":"W2563210553","doi":"10.5194/bg-14-2387-2017","title":"The European forest sector: past and future carbon budget and fluxes under different management scenarios","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Environmental science; Primary production; Climate change; Carbon sink; Greenhouse gas; Forest management; Biomass (ecology); Chronosequence; Productivity; Afforestation; Atmospheric sciences; Agroforestry; Ecology; Ecosystem; Biology","score_opus":0.010196395339275847,"score_gpt":0.2149820332011114,"score_spread":0.20478563786183554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2563210553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98933023,0.00065969833,0.0025848944,0.00021240833,0.000016683898,0.000013289531,0.004089759,0.00007994619,0.00301319],"genre_scores_gemma":[0.99498063,0.0002811477,0.002144263,0.000044077693,0.000004629832,0.000022347416,0.002022004,0.000020156425,0.00048081935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972624,0.000095776464,0.000022048975,0.00008731507,0.000027936463,0.00004076906],"domain_scores_gemma":[0.99972457,0.000104032835,0.000055440592,0.000031696047,0.000052677453,0.000031620624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010766083,0.0005879298,0.00039574964,0.00064402004,0.00023696173,0.0011999392,0.00040981,0.0010402307,0.0013920916],"category_scores_gemma":[0.0010396745,0.00020916131,0.00086316315,0.0015221367,0.00026880787,0.0013704996,0.00034587356,0.0002999004,0.00016038593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055514264,0.00010028368,0.11431764,0.00014869471,0.00037605577,0.00035941918,0.000061661725,0.8624162,0.002750362,0.0050804825,0.0014095254,0.012424394],"study_design_scores_gemma":[0.000245704,0.00027509514,0.17671816,0.00019945916,0.00043556956,0.0003575458,0.00035443046,0.7976029,0.0050053275,0.007969618,0.01068955,0.0001467174],"about_ca_topic_score_codex":0.018556457,"about_ca_topic_score_gemma":0.0076418514,"teacher_disagreement_score":0.018556457,"about_ca_system_score_codex":0.0012581768,"about_ca_system_score_gemma":0.0005210643,"threshold_uncertainty_score":0.036896884},"labels":[],"label_agreement":null},{"id":"W2565805524","doi":"10.5194/bg-13-6651-2016","title":"Challenges in modelling isoprene and monoterpene emission dynamics of Arctic plants: a case study from a subarctic tundra heath","year":2016,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Emil Aaltosen Säätiö; Maj ja Tor Nesslingin Säätiö; National Research Foundation; Danmarks Grundforskningsfond; Danmarks Frie Forskningsfond; Villum Fonden; Natur og Univers, Det Frie Forskningsråd","keywords":"Tundra; Subarctic climate; Isoprene; Environmental science; Arctic; Ecology; Monoterpene; Chemistry; Botany; Biology","score_opus":0.09731436860863263,"score_gpt":0.26530652827512435,"score_spread":0.16799215966649172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2565805524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995084,0.0001452132,0.0037570924,0.00005232134,0.000009269536,0.00001880422,0.00018307523,0.00005289842,0.0006973265],"genre_scores_gemma":[0.9964365,0.000086208885,0.0030419165,0.00001179465,0.00000573416,0.000012530447,0.00015575258,0.000008071769,0.00024162712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998635,0.00004958413,0.000008190457,0.00003282378,0.000019652083,0.000026132591],"domain_scores_gemma":[0.9996717,0.00019734105,0.00002384444,0.000022515045,0.000057337475,0.000027282415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005891602,0.0008088779,0.0004412792,0.00031811843,0.0005705468,0.0008660677,0.000505197,0.0010424902,0.00036498476],"category_scores_gemma":[0.0006488793,0.0002728889,0.0009041766,0.00038133663,0.00030765065,0.00036155988,0.00035666875,0.0005264881,0.000063392385],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007669504,0.00010491231,0.014978596,0.000054507313,0.00006432566,0.00028721566,0.000055622993,0.97581667,0.005164987,0.00019506141,0.00008030729,0.003121072],"study_design_scores_gemma":[0.000015357831,0.00009667925,0.0094414605,0.0000050716385,0.000034648543,0.000028994287,0.00010943979,0.9875651,0.0022814693,0.00011883781,0.00028951006,0.000013467891],"about_ca_topic_score_codex":0.08416467,"about_ca_topic_score_gemma":0.057874635,"teacher_disagreement_score":0.08416467,"about_ca_system_score_codex":0.0009963172,"about_ca_system_score_gemma":0.0007978148,"threshold_uncertainty_score":0.16734958},"labels":[],"label_agreement":null},{"id":"W2566787320","doi":"10.5194/bg-14-3321-2017","title":"Nitrogen transformations along a shallow subterranean estuary","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Submarine groundwater discharge; Biogeochemical cycle; Environmental science; Groundwater; Aquifer; Denitrification; Hydrology (agriculture); Nitrate; Biogeochemistry; Groundwater discharge; Estuary; Nutrient; Oceanography; Groundwater recharge; Environmental chemistry; Nitrogen; Ecology; Chemistry; Geology","score_opus":0.02607700880411101,"score_gpt":0.2279052574509741,"score_spread":0.20182824864686308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566787320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994092,0.000023489561,0.0000258364,0.000006413647,0.0000011318039,0.0000018323047,0.0001444568,0.0000025644276,0.00038520328],"genre_scores_gemma":[0.9990332,0.000034430697,0.00009817021,0.000010248015,8.847186e-7,0.0000028889483,0.00023061148,0.000001046789,0.0005885704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999505,0.0000020995276,0.000002723175,0.000019536288,0.000013029248,0.000012102902],"domain_scores_gemma":[0.9999162,0.000004389534,0.000018172143,0.000002896757,0.000038980816,0.000019462072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000057657373,0.0002280044,0.00017845549,0.00032718419,0.00083628873,0.00033948364,0.00014541943,0.00017828066,0.00038845217],"category_scores_gemma":[0.000068598936,0.000096857,0.00017329378,0.0004345035,0.00022509784,0.00011225454,0.00022210443,0.00015616154,0.00005463063],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000279212,0.00006380006,0.7739388,0.00007243351,0.000074249576,0.0009495453,0.0010376928,0.0014693512,0.21240844,0.00010957607,0.0003046963,0.009292208],"study_design_scores_gemma":[0.0000022149986,0.00004009864,0.99651873,0.0000032535186,0.000008417091,0.00004262128,0.00044960005,0.00062157505,0.0018763721,0.000010053131,0.00042251,0.000004464974],"about_ca_topic_score_codex":0.44424474,"about_ca_topic_score_gemma":0.6988244,"teacher_disagreement_score":0.44424474,"about_ca_system_score_codex":0.0019922869,"about_ca_system_score_gemma":0.0010980766,"threshold_uncertainty_score":0.8833179},"labels":[],"label_agreement":null},{"id":"W2568667267","doi":"10.5194/bg-14-3585-2017","title":"Sediment phosphorus speciation and mobility under dynamic redox conditions","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","cited_by":133,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; Canada Excellence Research Chairs, Government of Canada","keywords":"Bioturbation; Environmental chemistry; Sediment; Redox; Anoxic waters; Eutrophication; Phosphorus; Chemistry; Biogeochemistry; Nitrate; Benthic zone; Nutrient; Geology; Inorganic chemistry; Oceanography","score_opus":0.011269470458193735,"score_gpt":0.2545169349882669,"score_spread":0.24324746453007315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2568667267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99863666,0.00014990165,0.0005153506,0.000013664335,0.000002226066,0.0000067888755,0.00036020513,0.0000123336495,0.00030268868],"genre_scores_gemma":[0.9980742,0.00016486434,0.0005868625,0.000012149316,0.0000031693958,0.000011561327,0.00048830645,0.000004086144,0.0006547127],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999155,0.000009489944,0.0000049069827,0.000033662876,0.000019352325,0.000017186676],"domain_scores_gemma":[0.9999331,0.000012544594,0.000018803456,0.0000054168922,0.000017937418,0.000012236528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001114886,0.0002341443,0.00015222785,0.0002111279,0.00020052464,0.00031821456,0.00015168983,0.00018595181,0.00051704247],"category_scores_gemma":[0.00010685251,0.00011326246,0.000104601815,0.00020622084,0.00021512738,0.00018951113,0.00016499448,0.0002670303,0.00011118878],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013567202,0.000012253514,0.0028609328,0.000019464604,0.00000693912,0.000039933475,0.000029902974,0.000097749034,0.99562883,0.000014872893,0.000018242437,0.001135359],"study_design_scores_gemma":[0.000018041512,0.0006624063,0.14048961,0.0000070417905,0.000032486092,0.00019446148,0.00018466159,0.0023656855,0.8548147,0.000094983785,0.001120174,0.000015807864],"about_ca_topic_score_codex":0.0025311403,"about_ca_topic_score_gemma":0.00228612,"teacher_disagreement_score":0.0025311403,"about_ca_system_score_codex":0.0002254331,"about_ca_system_score_gemma":0.00019632185,"threshold_uncertainty_score":0.005032778},"labels":[],"label_agreement":null},{"id":"W2569869847","doi":"10.5194/bg-14-3015-2017","title":"The importance of radiation for semiempirical water-use efficiency models","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; University of Virginia; Natural Resources Canada; Microsoft Research; Max-Planck-Gesellschaft; Université Laval; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Eddy covariance; FluxNet; Evapotranspiration; Water-use efficiency; Environmental science; Transpiration; Vapour Pressure Deficit; Atmospheric sciences; Ecosystem; Water cycle; Ecology; Physics; Photosynthesis; Botany; Biology","score_opus":0.023530204801583708,"score_gpt":0.25055930310247265,"score_spread":0.22702909830088894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2569869847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5015138,0.0005488892,0.4880319,0.00073036994,0.000072646995,0.00014333522,0.00067515206,0.0013783698,0.0069056163],"genre_scores_gemma":[0.96037865,0.00013975635,0.03785775,0.000124123,0.000023858427,0.00013130685,0.00023634131,0.00017623696,0.0009320774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996087,0.00022778154,0.000022985798,0.000048847847,0.00007247015,0.000019240037],"domain_scores_gemma":[0.9976029,0.0017190808,0.00017633647,0.00020638327,0.0002487326,0.000046534806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017862668,0.00059976673,0.0005151716,0.00024477456,0.00035055703,0.0011381633,0.0012350654,0.0007146162,0.0011738876],"category_scores_gemma":[0.00586008,0.00037001268,0.000366882,0.00037248016,0.0004971815,0.0022349013,0.0005574371,0.0013362584,0.00027214424],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000050721523,0.00009648599,0.0036197174,0.00005210333,0.00003527869,0.000029356794,0.000047562295,0.97830814,0.0033544137,0.0038121971,0.0002491763,0.010344878],"study_design_scores_gemma":[0.000010228535,0.000010703854,0.00033345207,0.000004122495,0.000002957644,0.0000039233864,0.0000052484193,0.9978296,0.0005559833,0.0010681269,0.00017010776,0.0000055532882],"about_ca_topic_score_codex":0.0056864303,"about_ca_topic_score_gemma":0.005691493,"teacher_disagreement_score":0.0056864303,"about_ca_system_score_codex":0.0007804846,"about_ca_system_score_gemma":0.00068553904,"threshold_uncertainty_score":0.0113066435},"labels":[],"label_agreement":null},{"id":"W2573723292","doi":"10.5194/bg-14-3221-2017","title":"Spatial variability in surface-water <i>p</i> CO <sub>2</sub> and gas exchange in the world's largest semi-enclosed estuarine system: St. Lawrence Estuary (Canada)","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network; McGill University","keywords":"Estuary; Oceanography; Alkalinity; Environmental science; Bay; Surface water; Carbonic acid; Bottom water; Hydrology (agriculture); Geology; Chemistry","score_opus":0.011966518703268245,"score_gpt":0.19908965286469035,"score_spread":0.18712313416142212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2573723292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862082,0.0003050086,0.00012525386,0.0000931503,0.0000073693113,0.0000074905024,0.011155715,0.0000344549,0.0020634138],"genre_scores_gemma":[0.99022454,0.00019335747,0.00019479854,0.000039608956,0.0000036333718,0.000010199183,0.007945795,0.000009512433,0.0013785255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974483,0.000011343504,0.000016708856,0.00007920134,0.0000747666,0.000073154595],"domain_scores_gemma":[0.9990471,0.00003530532,0.00015673417,0.000035851546,0.0006169177,0.00010808064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021055437,0.00024872454,0.00023222051,0.0008946604,0.0006826723,0.0009081989,0.0004586667,0.00017636502,0.0008008071],"category_scores_gemma":[0.0004266544,0.00015446881,0.000267579,0.0028473227,0.00035588836,0.00024338062,0.00049932534,0.00023568349,0.000254193],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036323694,0.000010702403,0.9916612,0.000033745553,0.00006962875,0.00005932229,0.0004083993,0.00025451317,0.00077298796,0.000105352374,0.0020620886,0.0045256866],"study_design_scores_gemma":[0.0000011077191,0.0000023206003,0.998256,0.000009746027,0.000010258076,0.000010961306,0.00034226966,0.00025608044,0.00010149261,0.000006821248,0.0009988758,0.0000040300324],"about_ca_topic_score_codex":0.96935713,"about_ca_topic_score_gemma":0.9889108,"teacher_disagreement_score":0.030642867,"about_ca_system_score_codex":0.0066582407,"about_ca_system_score_gemma":0.006976103,"threshold_uncertainty_score":0.06164658},"labels":[],"label_agreement":null},{"id":"W2578219231","doi":"10.5194/bg-14-145-2017","title":"Transient dynamics of terrestrial carbon storage: mathematical foundation and its applications","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":115,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"University of Tennessee, Knoxville; U.S. Department of Homeland Security; National Institute for Mathematical and Biological Synthesis; U.S. Department of Agriculture; U.S. Department of Energy; National Science Foundation","keywords":"Environmental science; Residence time (fluid dynamics); Ecosystem; Terrestrial ecosystem; Sink (geography); Atmospheric sciences; Carbon sink; Carbon cycle; Soil science; Ecology; Engineering; Physics; Geography; Biology","score_opus":0.013253759786007287,"score_gpt":0.23897816923052637,"score_spread":0.22572440944451908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578219231","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045118272,0.0028503365,0.9259304,0.0026012661,0.00022157958,0.0000540864,0.00036198364,0.000298158,0.022564007],"genre_scores_gemma":[0.90516806,0.0033143675,0.08185341,0.0005689579,0.00030565402,0.00027046373,0.00025923812,0.00016926977,0.008090472],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998122,0.000055782082,0.000013315922,0.00004724624,0.000048171984,0.000023346802],"domain_scores_gemma":[0.9982127,0.0010978522,0.00025780295,0.00011739562,0.00024577076,0.00006863408],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011085242,0.00067377713,0.00056266296,0.0011103927,0.0005171083,0.0009018114,0.00081511936,0.0010581556,0.003243849],"category_scores_gemma":[0.0051200986,0.00027809723,0.0013767135,0.00077952765,0.0020457348,0.002322579,0.0015621225,0.0016664569,0.00033624764],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019886442,0.000026455205,0.0012471618,0.00012843835,0.000030381645,0.00009885744,0.00011992156,0.418812,0.0027810351,0.5680665,0.0015053998,0.0071638394],"study_design_scores_gemma":[0.000002928871,0.00000564957,0.00012215583,0.000010941652,0.0000039923575,0.000014826632,0.000009659694,0.9319522,0.00017406787,0.06694321,0.00075388723,0.000006457915],"about_ca_topic_score_codex":0.0052863215,"about_ca_topic_score_gemma":0.0015546511,"teacher_disagreement_score":0.0052863215,"about_ca_system_score_codex":0.0013765476,"about_ca_system_score_gemma":0.00078870653,"threshold_uncertainty_score":0.0108518},"labels":[],"label_agreement":null},{"id":"W2588701025","doi":"10.5194/bg-14-4023-2017","title":"Modelling past, present and future peatland carbon accumulation across the pan-Arctic region","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"NordForsk","keywords":"Peat; Permafrost; Carbon sink; Environmental science; Climate change; Holocene; Physical geography; Carbon cycle; Arctic; Greenhouse gas; Ecosystem; Global warming; Soil carbon; Sink (geography); Carbon fibers; Climatology; Ecology; Geology; Oceanography; Geography; Soil science; Soil water","score_opus":0.03793027271068296,"score_gpt":0.28474511695679927,"score_spread":0.24681484424611633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588701025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99548584,0.00009500159,0.002187548,0.00006265093,0.000012172072,0.0000127701705,0.0006527923,0.000058717862,0.001432404],"genre_scores_gemma":[0.9974927,0.00008253966,0.0016107482,0.0000138581045,0.000003354247,0.000020787655,0.0003955953,0.000010516101,0.00036987878],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998642,0.000040327795,0.000010235883,0.000042193653,0.000013047868,0.000029985651],"domain_scores_gemma":[0.99966884,0.00013750557,0.00004664354,0.000025178291,0.00007101799,0.00005091133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005824266,0.0006388851,0.00038311078,0.0004913908,0.0005689348,0.0010560744,0.00071694667,0.0010048102,0.00093360775],"category_scores_gemma":[0.0007873395,0.00037336734,0.00096341054,0.00067364523,0.0004225242,0.0007796936,0.00045467942,0.000522473,0.00011198501],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041826115,0.000030008343,0.011338258,0.000020129055,0.000057778583,0.00006803821,0.000019624456,0.9864783,0.00065359107,0.0001946074,0.00006648429,0.0010312807],"study_design_scores_gemma":[0.000021661011,0.00004637598,0.011974601,0.0000098862265,0.000039475126,0.000024176035,0.00006771672,0.9868581,0.0004046746,0.00022662379,0.00031285803,0.000013870227],"about_ca_topic_score_codex":0.14715697,"about_ca_topic_score_gemma":0.109389156,"teacher_disagreement_score":0.14715697,"about_ca_system_score_codex":0.0017208698,"about_ca_system_score_gemma":0.0018318432,"threshold_uncertainty_score":0.2926008},"labels":[],"label_agreement":null},{"id":"W2591889987","doi":"10.5194/bg-14-4733-2017","title":"An assessment of geographical distribution of different plant functional types over North America simulated using the CLASS–CTEM modelling framework","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; University of Victoria; Université du Québec à Trois-Rivières; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Evergreen; Vegetation (pathology); Deciduous; Physical geography; Environmental science; Arid; Permafrost; Spatial distribution; Precipitation; Arctic; Climatology; Geography; Atmospheric sciences; Ecology; Geology; Remote sensing; Meteorology","score_opus":0.021321355288467563,"score_gpt":0.2667262764822487,"score_spread":0.24540492119378116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2591889987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924644,0.00004875885,0.0033499806,0.000101861544,0.000008015493,0.000022149876,0.0011603714,0.00021217483,0.002632161],"genre_scores_gemma":[0.99581194,0.000030328805,0.0029630705,0.000024433597,0.0000021050776,0.000029875775,0.00075720204,0.000023527316,0.00035758602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998417,0.00004366514,0.0000055828777,0.000051220104,0.000025277543,0.000032483294],"domain_scores_gemma":[0.9994198,0.00023212218,0.00005360191,0.000047108857,0.00019635224,0.000051048035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005696833,0.00047470923,0.00034753047,0.0004597238,0.00051340496,0.0005988169,0.001152341,0.0006375602,0.0015702298],"category_scores_gemma":[0.0010825904,0.00029356562,0.00062601996,0.0008975014,0.00035604805,0.00046004535,0.0003198253,0.0003496389,0.00016129676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087947716,0.000069169735,0.035547726,0.000027662523,0.00004684568,0.000056356577,0.00007294808,0.95850885,0.00087684795,0.0005883034,0.00072058954,0.0033968103],"study_design_scores_gemma":[0.000023353425,0.000014649238,0.01566444,0.0000046291293,0.000008686252,0.000014909489,0.000058864174,0.983354,0.0002274574,0.0001743456,0.00044285477,0.000011900981],"about_ca_topic_score_codex":0.48339462,"about_ca_topic_score_gemma":0.38432047,"teacher_disagreement_score":0.48339462,"about_ca_system_score_codex":0.0028638341,"about_ca_system_score_gemma":0.0017020516,"threshold_uncertainty_score":0.9611619},"labels":[],"label_agreement":null},{"id":"W2592372416","doi":"10.5194/bg-14-1153-2017","title":"Colloid-bound and dissolved phosphorus species in topsoil water extracts along a grassland transect from Cambisol to Stagnosol","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"China Scholarship Council","keywords":"Cambisol; Chemistry; Environmental chemistry; Phosphorus; Colloid; Soil water; Fractionation; Geology; Chromatography; Organic chemistry; Soil science","score_opus":0.01491840740673141,"score_gpt":0.22659174486917602,"score_spread":0.2116733374624446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592372416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99940205,0.00007249553,0.000065149645,0.000008237944,0.0000013857084,0.0000046434834,0.00016772671,0.00000604075,0.00027226628],"genre_scores_gemma":[0.9988826,0.000075856144,0.00029129148,0.000023018816,0.0000022770182,0.000011048498,0.00038400968,0.0000035428823,0.0003263299],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99994195,0.000004610883,0.0000029458697,0.00002470459,0.000012771087,0.000013056451],"domain_scores_gemma":[0.9999143,0.0000098662185,0.000018099328,0.0000024296926,0.000029255092,0.000026081432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000078604644,0.00030955748,0.00024813993,0.0012670248,0.0006445014,0.0004754551,0.0002418629,0.00039043074,0.0006929804],"category_scores_gemma":[0.000102538645,0.00019474591,0.00014070721,0.00066907494,0.00034923028,0.00019953556,0.00025632392,0.00016212325,0.000114140006],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005996789,0.00006169291,0.34410483,0.00023760025,0.000115122304,0.0006093822,0.002305862,0.0002348731,0.6406673,0.00009655619,0.00017606482,0.010791097],"study_design_scores_gemma":[0.000007093757,0.000041012256,0.99599236,0.000006432151,0.000013952042,0.00004679822,0.00035545637,0.00020242733,0.0029152925,0.000009713963,0.00040378192,0.0000055884557],"about_ca_topic_score_codex":0.07402055,"about_ca_topic_score_gemma":0.126155,"teacher_disagreement_score":0.07402055,"about_ca_system_score_codex":0.00073496916,"about_ca_system_score_gemma":0.0004923093,"threshold_uncertainty_score":0.14717942},"labels":[],"label_agreement":null},{"id":"W2594327287","doi":"10.5194/bg-14-977-2017","title":"Can terrestrial laser scanners (TLSs) and hemispherical photographs predict tropical dry forest succession with liana abundance?","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Inter-American Institute for Global Change Research; National Science Foundation","keywords":"Liana; Abundance (ecology); Tropical and subtropical dry broadleaf forests; Ecological succession; Deciduous; Ecosystem; Ecology; Forest ecology; Environmental science; Relative species abundance; Tropical climate; Tropics; Ecotone; Terrestrial ecosystem; Temperate rainforest; Temperate deciduous forest; Climate change; Temperate forest; Biology; Habitat","score_opus":0.009312182015642979,"score_gpt":0.23117421898799534,"score_spread":0.22186203697235235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594327287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99810433,0.00004487294,0.0009013139,0.0000131314655,0.0000030299736,0.0000084307885,0.00032775485,0.000035055265,0.0005620974],"genre_scores_gemma":[0.9974483,0.000024372264,0.0020816945,0.0000074535724,0.00000237689,0.000007066558,0.0002599939,0.0000029188272,0.00016580395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997893,0.000076453085,0.000011842262,0.000056735353,0.00004184149,0.000023893686],"domain_scores_gemma":[0.99956995,0.0001329423,0.00009792291,0.000036265115,0.00010720678,0.000055612367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004782006,0.0001946488,0.00018079056,0.0008521553,0.00014004238,0.0004423593,0.0001441133,0.00022148057,0.0012264958],"category_scores_gemma":[0.0007924696,0.000121818615,0.00020121683,0.00068089104,0.00014642961,0.00050780666,0.00023644221,0.0001226251,0.00030434187],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000084212224,0.000044711087,0.9687955,0.000024692983,0.000043450593,0.00005145233,0.00009661657,0.0016910688,0.011234386,0.00002814082,0.00018018276,0.01772556],"study_design_scores_gemma":[0.0000031080558,0.000043247255,0.98453933,0.000005395845,0.000016933753,0.000051287054,0.00020269668,0.013689715,0.0012342046,0.000021890073,0.00018570681,0.000006455776],"about_ca_topic_score_codex":0.004881258,"about_ca_topic_score_gemma":0.019696161,"teacher_disagreement_score":0.004881258,"about_ca_system_score_codex":0.00018714712,"about_ca_system_score_gemma":0.00015709826,"threshold_uncertainty_score":0.009705722},"labels":[],"label_agreement":null},{"id":"W2594748282","doi":"10.5194/bg-14-5115-2017","title":"Reviews and syntheses: on the roles trees play in building and plumbing the critical zone","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":217,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"National Science Foundation","keywords":"Biogeochemical cycle; Substrate (aquarium); Environmental science; Tree (set theory); Earth science; Phosphorus; Soil science; Geology; Ecology; Biology; Chemistry; Mathematics","score_opus":0.02588826729250237,"score_gpt":0.26143263327390964,"score_spread":0.23554436598140727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594748282","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009013425,0.9919556,0.00013342453,0.0022381248,0.0024898048,0.000015614469,0.00019104309,0.000015158979,0.0028712107],"genre_scores_gemma":[0.0013564616,0.99322104,0.00031737238,0.0020803043,0.0017470004,0.00007099265,0.00020349039,0.000013410412,0.000989877],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975107,0.0008057313,0.0005063796,0.00028885234,0.0006877884,0.00020059115],"domain_scores_gemma":[0.9734171,0.020157197,0.0024575104,0.00057109655,0.0028753602,0.0005217383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037619756,0.0018458493,0.0027546317,0.0119756395,0.0009160815,0.004902413,0.001792696,0.0031079357,0.01690525],"category_scores_gemma":[0.026294243,0.00069081824,0.0014189355,0.021700628,0.0017081617,0.004341273,0.002028,0.0028559472,0.004817885],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021833231,0.00005497719,0.00032397328,0.3252999,0.0006700986,0.0003067452,0.0014016945,0.0007245171,0.00078965793,0.028628994,0.3449838,0.29659727],"study_design_scores_gemma":[0.000021160073,0.000034603618,0.0009341847,0.1000481,0.00037441045,0.00013696651,0.00047157044,0.000044527667,0.000102776576,0.0038166707,0.8939875,0.00002758115],"about_ca_topic_score_codex":0.005895885,"about_ca_topic_score_gemma":0.009352081,"teacher_disagreement_score":0.01690525,"about_ca_system_score_codex":0.004191405,"about_ca_system_score_gemma":0.007581197,"threshold_uncertainty_score":0.05655366},"labels":[],"label_agreement":null},{"id":"W2596677655","doi":"10.5194/bg-14-1189-2017","title":"Ice nucleators, bacterial cells and <i>Pseudomonas syringae</i> in precipitation at Jungfraujoch","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cargill (Canada)","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Pseudomonas syringae; Precipitation; Ice nucleus; Altitude (triangle); Environmental chemistry; Pseudomonas; Environmental science; Bacteria; Chemistry; Atmosphere (unit); Snow; Atmospheric sciences; Biology; Nucleation; Meteorology; Physics","score_opus":0.012850858681746503,"score_gpt":0.23247721074207583,"score_spread":0.21962635206032932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2596677655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99944097,0.00009377646,0.000091074,0.000008712719,0.0000037345642,0.0000053005106,0.0001730514,0.0000056266895,0.0001777748],"genre_scores_gemma":[0.99925,0.000059064576,0.0001680132,0.000010378367,0.0000058508904,0.00000728501,0.00023584679,0.000002647439,0.0002610494],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998627,0.000008910045,0.0000037976147,0.000046684003,0.000031838517,0.00004610093],"domain_scores_gemma":[0.99991083,0.000009474726,0.00002287848,0.0000027394844,0.000024490171,0.000029664667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012547516,0.00035418218,0.000324123,0.00058029965,0.0009627728,0.00057277695,0.00024617653,0.00031504378,0.0005846101],"category_scores_gemma":[0.00011083977,0.00021256648,0.00018715727,0.00037882765,0.0003339139,0.00026493485,0.00036351953,0.00043857875,0.00013745237],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043405304,0.00011225496,0.24812856,0.0000892879,0.000048690854,0.00045820267,0.000998591,0.00046996417,0.74504447,0.00006628141,0.00011333299,0.004036256],"study_design_scores_gemma":[0.000010342871,0.00023667474,0.96396303,0.0000048995594,0.000020022013,0.00007581826,0.00047194783,0.0006726654,0.033882022,0.00002360142,0.00063010235,0.000008853589],"about_ca_topic_score_codex":0.03396731,"about_ca_topic_score_gemma":0.037572082,"teacher_disagreement_score":0.03396731,"about_ca_system_score_codex":0.0006929556,"about_ca_system_score_gemma":0.00045618694,"threshold_uncertainty_score":0.067539215},"labels":[],"label_agreement":null},{"id":"W2606707757","doi":"10.5194/bg-14-5727-2017","title":"Low <i>p</i> CO <sub>2</sub> under sea-ice melt in the Canada Basin of the western Arctic Ocean","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Halocline; Oceanography; Canada Basin; Salinity; Meltwater; Sea ice; Structural basin; Geology; Arctic; Seawater; Environmental science; Snow; Geomorphology","score_opus":0.011887397772400353,"score_gpt":0.20543251905659676,"score_spread":0.1935451212841964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606707757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975478,0.00019775608,0.000058933776,0.00007655943,0.000004093792,0.000003686657,0.000571579,0.000013263684,0.0015264079],"genre_scores_gemma":[0.9993199,0.00007974477,0.000055430628,0.00001794005,0.0000019013971,0.000001391076,0.00029274717,0.0000030474025,0.0002279054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998969,0.00000286489,0.0000040344016,0.00002031669,0.000031720923,0.00004414295],"domain_scores_gemma":[0.99984634,0.000003984005,0.000032229644,0.000003991619,0.00007513911,0.000038339258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008234288,0.00021609731,0.00019652564,0.00064717524,0.0013237005,0.00084314396,0.00027418582,0.00017888208,0.000794135],"category_scores_gemma":[0.00019731405,0.00015098046,0.00015797671,0.0010349955,0.0005679257,0.00024384866,0.0004035427,0.00020678435,0.00009911359],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000085083615,0.000011306397,0.9805149,0.00004242862,0.000057531317,0.00032731207,0.00075218006,0.00019474122,0.012380468,0.00014220978,0.0004976879,0.0049941023],"study_design_scores_gemma":[7.874071e-7,0.0000026861107,0.9983584,0.0000042152274,0.0000062221256,0.000035923524,0.00052655715,0.00015417919,0.0003267197,0.000013139657,0.00056825206,0.000002854179],"about_ca_topic_score_codex":0.90810865,"about_ca_topic_score_gemma":0.95564413,"teacher_disagreement_score":0.09189135,"about_ca_system_score_codex":0.0041077477,"about_ca_system_score_gemma":0.0045801536,"threshold_uncertainty_score":0.184865},"labels":[],"label_agreement":null},{"id":"W2608908776","doi":"10.5194/bg-14-5507-2017","title":"Coupled eco-hydrology and biogeochemistry algorithms enable the simulation of water table depth effects on boreal peatland net CO <sub>2</sub> exchange","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Lethbridge; University of Alberta","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Sight Research UK; Compute Canada; Canadian Foundation for Climate and Atmospheric Sciences; Western Canada Research Grid; University of Alberta; BIOCAP Canada","keywords":"Peat; Biogeochemistry; Primary production; Environmental science; Boreal; Water table; Hydrology (agriculture); Biogeochemical cycle; Ecosystem; Ecology; Geology; Groundwater; Biology","score_opus":0.010437669301840518,"score_gpt":0.2351856690931137,"score_spread":0.2247479997912732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608908776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9682271,0.000059310893,0.028049259,0.00011230697,0.00002699434,0.0000374341,0.00038189848,0.00080716866,0.002298678],"genre_scores_gemma":[0.9907246,0.0000240197,0.008709699,0.000019271385,0.0000041508915,0.000024872568,0.00015354798,0.000025800708,0.00031403618],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999362,0.00001547322,0.0000048138986,0.000017701399,0.000012865313,0.000012990773],"domain_scores_gemma":[0.99971,0.00011747297,0.000043401462,0.00002835108,0.000055653538,0.000045067714],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037947317,0.00051433436,0.0002490133,0.00024338621,0.000388431,0.0005756516,0.0006661745,0.0005464976,0.0010951542],"category_scores_gemma":[0.0009812738,0.00030199235,0.00048084673,0.00017223095,0.00038949985,0.00041611094,0.00051622454,0.00045726512,0.00007885051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000835646,0.000076057484,0.012435941,0.000013302214,0.000059912603,0.000032474876,0.0000384493,0.9800189,0.0024020516,0.0007678341,0.00020026194,0.0038713391],"study_design_scores_gemma":[0.000013281987,0.000009219302,0.0010471251,6.60576e-7,0.000005507344,0.000002353305,0.0000041904577,0.9984281,0.00028647357,0.0001246006,0.00007621644,0.0000023039465],"about_ca_topic_score_codex":0.10427867,"about_ca_topic_score_gemma":0.0807484,"teacher_disagreement_score":0.10427867,"about_ca_system_score_codex":0.0010845554,"about_ca_system_score_gemma":0.001267551,"threshold_uncertainty_score":0.2073434},"labels":[],"label_agreement":null},{"id":"W2611607984","doi":"10.5194/bg-15-159-2018","title":"Intensification and deepening of the Arabian Sea oxygen minimum zone in response to increase in Indian monsoon wind intensity","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"York University; New York University Abu Dhabi","keywords":"Monsoon; Oxygen minimum zone; Environmental science; Oceanography; Climatology; East Asian Monsoon; Biogeochemical cycle; Geology; Upwelling; Ecology; Biology","score_opus":0.013807568109730042,"score_gpt":0.2093626874432829,"score_spread":0.19555511933355285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611607984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875855,0.00004757093,0.0002191389,0.00006797424,0.0000072503426,0.0000034695415,0.0001178241,0.0000120115255,0.0007663086],"genre_scores_gemma":[0.9995715,0.000035777644,0.00015230976,0.00001529548,0.0000017222144,0.0000027671285,0.00009090062,0.0000029687183,0.00012680709],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999286,0.000019846268,0.0000060908833,0.00001658137,0.0000090778385,0.000019844205],"domain_scores_gemma":[0.9998185,0.000053935946,0.000043169333,0.000014280962,0.000025177304,0.00004506835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022672105,0.00038454018,0.00020646676,0.00020424832,0.00031663486,0.0006837366,0.00039274598,0.000536201,0.0013343177],"category_scores_gemma":[0.00064337894,0.00022172947,0.00059798645,0.0002085579,0.00029572076,0.00042336888,0.00052138104,0.0004909458,0.000081552294],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045812275,0.00021460892,0.25799957,0.00013416045,0.00033334483,0.0005271322,0.00019805101,0.70382434,0.028689193,0.0019688674,0.0007944162,0.004858145],"study_design_scores_gemma":[0.00011414695,0.00025140523,0.1972599,0.000022541975,0.00008276403,0.00010535796,0.00031812058,0.7973525,0.0030638864,0.00053140323,0.0008639257,0.00003410092],"about_ca_topic_score_codex":0.025945442,"about_ca_topic_score_gemma":0.0150806075,"teacher_disagreement_score":0.025945442,"about_ca_system_score_codex":0.00047312627,"about_ca_system_score_gemma":0.00043789155,"threshold_uncertainty_score":0.051588893},"labels":[],"label_agreement":null},{"id":"W2614949423","doi":"10.5194/bg-14-2469-2017","title":"Sequential nutrient uptake as a potential mechanism for phytoplankton to maintain high primary productivity and balanced nutrient stoichiometry","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nutrient; Phytoplankton; Redfield ratio; Phosphorus; Water column; Nitrogen; Seawater; Productivity; Limiting; Environmental science; Environmental chemistry; Chemistry; Biology; Ecology","score_opus":0.012700423603022076,"score_gpt":0.22409493778342265,"score_spread":0.2113945141804006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614949423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9849578,0.0004945332,0.010409448,0.0003741802,0.000034477933,0.000039141414,0.0000542887,0.00024882655,0.003387268],"genre_scores_gemma":[0.9960939,0.00006547486,0.0027465874,0.000068405505,0.0000056818394,0.000015471465,0.000026228197,0.0000092542705,0.00096890744],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.0000143089,0.000011653718,0.000052563228,0.00003971697,0.00003525924],"domain_scores_gemma":[0.9997725,0.00002129901,0.00006253874,0.000036295198,0.000056504054,0.000050916417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031025475,0.00038903565,0.0003528799,0.00027510358,0.00049557706,0.0005244081,0.0006291416,0.0007117928,0.0007794088],"category_scores_gemma":[0.0003142207,0.0003767465,0.0003352258,0.00013893297,0.0004322275,0.0006355361,0.0011315198,0.00038566632,0.000296013],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011896514,0.000043549953,0.010869717,0.000096453434,0.000025612368,0.0001817739,0.000068144866,0.001514591,0.97842306,0.000982361,0.00014625888,0.007529406],"study_design_scores_gemma":[0.00019990174,0.0024907647,0.3435604,0.00008065277,0.00013845733,0.0017512004,0.0008905445,0.091972545,0.53996986,0.008349221,0.010478247,0.00011810085],"about_ca_topic_score_codex":0.0028500275,"about_ca_topic_score_gemma":0.0056879404,"teacher_disagreement_score":0.0028500275,"about_ca_system_score_codex":0.0009753765,"about_ca_system_score_gemma":0.0005848313,"threshold_uncertainty_score":0.0070768595},"labels":[],"label_agreement":null},{"id":"W2616080896","doi":"10.5194/bg-14-4435-2017","title":"Ideas and perspectives: how coupled is the vegetation to the boundary layer?","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"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; University of Virginia; Natural Resources Canada; Università degli Studi della Tuscia; Université Laval; Microsoft Research; U.S. Department of Energy; National Science Foundation","keywords":"Evergreen; Transpiration; FluxNet; Environmental science; Stomatal conductance; Atmospheric sciences; Deserts and xeric shrublands; Decoupling (probability); Vegetation (pathology); Hadronization; Ecology; Eddy covariance; Ecosystem; Geology; Photosynthesis; Physics; Biology; Botany","score_opus":0.0168887628032218,"score_gpt":0.23316719613687836,"score_spread":0.21627843333365657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2616080896","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037924293,0.27417567,0.10401612,0.504915,0.008752949,0.00004468228,0.0005449322,0.0001991157,0.06942724],"genre_scores_gemma":[0.7687721,0.13800617,0.026624981,0.05262117,0.007888959,0.00014217224,0.0004083587,0.0002930096,0.00524296],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99421376,0.0036886344,0.00016986302,0.0009915084,0.00068787637,0.0002483732],"domain_scores_gemma":[0.9892091,0.0069184545,0.000752324,0.0005357551,0.0017167928,0.00086747523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011332679,0.0010075652,0.000978166,0.003050483,0.0024046723,0.011624515,0.003013406,0.004818287,0.0053331787],"category_scores_gemma":[0.015527989,0.00040988697,0.00095409877,0.0029570886,0.015737774,0.01768544,0.0029653048,0.007829434,0.0013157461],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000674023,0.000024713952,0.0024218685,0.0010358454,0.000117860276,0.00030149939,0.007809512,0.0014293467,0.0005507933,0.92333335,0.011970593,0.050937247],"study_design_scores_gemma":[0.0000098180235,0.000023676166,0.0016505552,0.0019943006,0.00005297015,0.00018689272,0.009013406,0.0016803093,0.00036548814,0.88351536,0.10145759,0.000049708207],"about_ca_topic_score_codex":0.0043616244,"about_ca_topic_score_gemma":0.0027566587,"teacher_disagreement_score":0.011624515,"about_ca_system_score_codex":0.0046582394,"about_ca_system_score_gemma":0.003054664,"threshold_uncertainty_score":0.059933662},"labels":[],"label_agreement":null},{"id":"W2618855805","doi":"10.5194/bg-15-847-2018","title":"Explaining CO <sub>2</sub> fluctuations observed in snowpacks","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; St. Francis Xavier University","keywords":"Snowpack; Snow; Advection; Environmental science; Atmospheric sciences; Wind speed; Diurnal cycle; Diffusion; Carbon dioxide; Climatology; Chemistry; Meteorology; Geology; Oceanography; Geography","score_opus":0.019262800178088898,"score_gpt":0.2313751699362838,"score_spread":0.2121123697581949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618855805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99566096,0.00013167286,0.0028399152,0.00009928077,0.000008117171,0.00001783185,0.00034673949,0.00005742791,0.0008380447],"genre_scores_gemma":[0.99951637,0.000029888213,0.0002664177,0.0000072603293,0.0000013337313,0.0000028472912,0.00008219146,0.0000051525685,0.00008848874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994314,0.0000068640084,0.0000032875912,0.000020027412,0.000007065125,0.000019562074],"domain_scores_gemma":[0.999859,0.000041343887,0.000033110486,0.000011733823,0.0000329423,0.000021856871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019117903,0.0003625619,0.0002178936,0.00031917437,0.00040511088,0.0007367865,0.00037822285,0.00035340726,0.0006352503],"category_scores_gemma":[0.0005408685,0.00022992527,0.00034558415,0.00035996013,0.0003236509,0.0003366797,0.00022841389,0.00021707905,0.000116628944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017766537,0.00006727717,0.63965094,0.00017315347,0.00014439381,0.00052788685,0.00024916392,0.29434788,0.05388214,0.0014666475,0.0009082341,0.00840462],"study_design_scores_gemma":[0.000029448387,0.000031814892,0.3290376,0.000017861488,0.00003680568,0.000070391834,0.00023698433,0.6653085,0.0035447413,0.00080151536,0.00086630683,0.00001795085],"about_ca_topic_score_codex":0.3514951,"about_ca_topic_score_gemma":0.26569986,"teacher_disagreement_score":0.3514951,"about_ca_system_score_codex":0.0021207873,"about_ca_system_score_gemma":0.0013787965,"threshold_uncertainty_score":0.6988983},"labels":[],"label_agreement":null},{"id":"W2727222272","doi":"10.5194/bg-14-5487-2017","title":"Retrogressive thaw slumps temper dissolved organic carbon delivery to streams of the Peel Plateau, NWT, Canada","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Northwest Territories; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; York University","keywords":"Dissolved organic carbon; Permafrost; Plateau (mathematics); Slump; Total organic carbon; Thermokarst; Geology; STREAMS; Hydrology (agriculture); Environmental science; Slumping; Geomorphology; Environmental chemistry; Oceanography; Chemistry","score_opus":0.022445754429992647,"score_gpt":0.22120736860077006,"score_spread":0.19876161417077742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2727222272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99942625,0.00002221456,0.00003069705,0.000008426624,4.8060156e-7,0.0000028199827,0.00017483775,0.0000031709121,0.00033119068],"genre_scores_gemma":[0.9991616,0.00003740393,0.00008031183,0.000011188044,6.801483e-7,0.000003334625,0.00031510682,0.0000020830569,0.00038823806],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987614,0.000005720311,0.0000041092844,0.00003611688,0.000041329462,0.000036580306],"domain_scores_gemma":[0.9995597,0.0000387465,0.00007123474,0.000014350667,0.00020894289,0.00010694356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000113632756,0.00015111541,0.00015796859,0.0005196267,0.0010418285,0.00066285057,0.00034370017,0.00014542344,0.00090357545],"category_scores_gemma":[0.00049034157,0.00012083731,0.00013651284,0.0006274631,0.00041368607,0.0002399402,0.00042383623,0.00025104766,0.00008045835],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000094764815,0.000023643106,0.98561645,0.000011030174,0.000035087673,0.00013680052,0.00065537804,0.00033933416,0.007042162,0.00003294425,0.00017248766,0.0058400035],"study_design_scores_gemma":[0.0000011464217,0.000008577278,0.9989605,0.000002002402,0.0000035424862,0.000012948574,0.00037350142,0.00018632517,0.00030827624,0.000004574526,0.00013711244,0.0000016253445],"about_ca_topic_score_codex":0.8566328,"about_ca_topic_score_gemma":0.96262527,"teacher_disagreement_score":0.14336717,"about_ca_system_score_codex":0.0046483674,"about_ca_system_score_gemma":0.0031197192,"threshold_uncertainty_score":0.28842294},"labels":[],"label_agreement":null},{"id":"W2734640651","doi":"10.5194/bg-15-1335-2018","title":"Towards an assessment of riverine dissolved organic carbon in surface waters of the western Arctic Ocean based on remote sensing and biogeochemical modeling","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Takuvik Joint International Laboratory; McGill University; Makivik Corporation","funders":"Japan Aerospace Exploration Agency; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; ArcticNet; Université Laval","keywords":"Biogeochemical cycle; Environmental science; Biogeochemistry; Arctic; Oceanography; Dissolved organic carbon; Terrigenous sediment; Colored dissolved organic matter; Structural basin; Geology; Phytoplankton; Ecology; Nutrient","score_opus":0.01459679162762711,"score_gpt":0.24517443227303476,"score_spread":0.23057764064540764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2734640651","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916483,0.0001787026,0.0057094726,0.00011467546,0.000008421173,0.000032825286,0.0005113194,0.00010563078,0.0016906762],"genre_scores_gemma":[0.9933022,0.000084257365,0.0060013654,0.00001322681,0.0000032414773,0.000014469083,0.0003752535,0.000009904145,0.0001961196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998803,0.000038708284,0.0000078592375,0.00002574923,0.000033273773,0.0000140839375],"domain_scores_gemma":[0.9998093,0.00003668826,0.00003009872,0.000017096758,0.000073945994,0.000032876764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006487534,0.0006288727,0.00019308204,0.0004641276,0.00045519805,0.001008443,0.0004361142,0.00034178232,0.00029189943],"category_scores_gemma":[0.0006449746,0.00027114814,0.00045388195,0.00046993705,0.00023389974,0.00048184165,0.00038387338,0.00022701717,0.00006368213],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016865446,0.00025623827,0.23514147,0.000081444974,0.00036775984,0.000073794225,0.000120059136,0.7251125,0.0216502,0.0008908659,0.0003612676,0.015775796],"study_design_scores_gemma":[0.000041992036,0.00006428112,0.103838414,0.000018245963,0.00006726057,0.0000112160615,0.00012560573,0.8912457,0.0033903522,0.00032744923,0.0008480049,0.000021341804],"about_ca_topic_score_codex":0.4347043,"about_ca_topic_score_gemma":0.38887948,"teacher_disagreement_score":0.4347043,"about_ca_system_score_codex":0.0028464631,"about_ca_system_score_gemma":0.002747391,"threshold_uncertainty_score":0.86434805},"labels":[],"label_agreement":null},{"id":"W2735194319","doi":"10.5194/bg-14-5323-2017","title":"The GEOVIDE cruise in May–June 2014 reveals an intense Meridional Overturning Circulation over a cold and fresh subpolar North Atlantic","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Ministerio de Economía y Competitividad; Centre National d’Etudes Spatiales; European Commission; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Thermohaline circulation; Geotraces; Oceanography; Cruise; Ocean current; Climatology; Circulation (fluid dynamics); North Atlantic Deep Water; Geology; Seawater; Physics","score_opus":0.01491535246134126,"score_gpt":0.229889826999982,"score_spread":0.21497447453864074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735194319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931941,0.000095947355,0.00028142784,0.00006917245,0.000023456807,0.0000097332495,0.0014355765,0.0000367094,0.004853786],"genre_scores_gemma":[0.99575895,0.00005372494,0.00031846235,0.00003457784,0.000018616702,0.0000060730727,0.0022052773,0.000011261704,0.001592945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998994,0.0000056841227,0.0000051338893,0.000028654451,0.000036786554,0.00002425953],"domain_scores_gemma":[0.9998585,0.00001106309,0.0000465353,0.000015398593,0.000037450263,0.000031138065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011125549,0.00015676547,0.00019977445,0.00038364233,0.00043873827,0.0004572131,0.0001515525,0.00024959896,0.0011685543],"category_scores_gemma":[0.00021809166,0.00012187556,0.00018814871,0.0003724745,0.00029791956,0.00022318578,0.00043323563,0.0002591847,0.00019229863],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040773736,0.0000744558,0.9173318,0.00007146925,0.00014794967,0.0005847359,0.00075505045,0.0010382311,0.0557867,0.0002293984,0.0034589244,0.02011349],"study_design_scores_gemma":[0.0000019479066,0.000016030464,0.9978174,0.00000414497,0.0000027030494,0.000028659926,0.0001137032,0.00011178849,0.00043522782,0.0000060218495,0.0014599572,0.000002339495],"about_ca_topic_score_codex":0.04136084,"about_ca_topic_score_gemma":0.18772195,"teacher_disagreement_score":0.04136084,"about_ca_system_score_codex":0.00039894204,"about_ca_system_score_gemma":0.0003786518,"threshold_uncertainty_score":0.082240224},"labels":[],"label_agreement":null},{"id":"W2736843906","doi":"10.5194/bg-14-3445-2017","title":"Boreal coniferous forest density leads to significant variations in soil physical and geochemical properties","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Lichen and fungal ecology","field":"Agricultural and Biological Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; Natural Resources Canada; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; AgroParisTech; Centre National de la Recherche Scientifique; Université de Montpellier; Institut Universitaire de France; Ministère des Forêts, de la Faune et des Parcs","keywords":"Humus; Soil water; Moss; Environmental science; Taiga; Soil horizon; Lichen; Forest floor; Soil carbon; Parent material; Soil science; Ecosystem; Boreal; Ecology; Biology","score_opus":0.030496091621789942,"score_gpt":0.23409128707010018,"score_spread":0.20359519544831023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2736843906","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993056,0.00007649077,0.000039655682,0.000007682973,0.0000019760714,0.0000026129107,0.00012045455,0.0000042219435,0.00044126713],"genre_scores_gemma":[0.99953353,0.000023588367,0.00003427655,0.000010873018,0.0000012001573,0.0000024446085,0.00019001703,0.0000014961604,0.00020271624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999864,0.000022244561,0.0000069358043,0.000043280583,0.000028918983,0.00003459413],"domain_scores_gemma":[0.9995671,0.000048242087,0.00014010671,0.0000260678,0.00007345812,0.00014503031],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014898715,0.00016639,0.00013219038,0.0003514076,0.00028276318,0.00036034037,0.00013577961,0.000108348046,0.0012294223],"category_scores_gemma":[0.00029404095,0.000096385076,0.00009075773,0.0003222841,0.00020068992,0.00013394264,0.00015993968,0.0001651133,0.00012449466],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023395123,0.000105856634,0.9669238,0.0000140277725,0.000054482585,0.00013199198,0.00019858837,0.000051015773,0.027762223,0.000028212005,0.00021342556,0.004282454],"study_design_scores_gemma":[3.5185445e-7,0.000007309401,0.99981135,4.7292136e-7,0.000001384215,0.000021921607,0.000041734012,0.000014764566,0.000056462668,0.0000016036638,0.000042305448,4.4884743e-7],"about_ca_topic_score_codex":0.0781166,"about_ca_topic_score_gemma":0.18323563,"teacher_disagreement_score":0.0781166,"about_ca_system_score_codex":0.00041940896,"about_ca_system_score_gemma":0.00027542218,"threshold_uncertainty_score":0.1553238},"labels":[],"label_agreement":null},{"id":"W2738285930","doi":"10.5194/bg-15-809-2018","title":"Virus-mediated transfer of nitrogen from heterotrophic bacteria to phytoplankton","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Bacteriophages and microbial interactions","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"British Columbia Knowledge Development Fund; Natural Sciences and Engineering Research Council of Canada","keywords":"Synechococcus; Bacterioplankton; Cyanobacteria; Phytoplankton; Lysis; Bacteria; Nutrient; Biology; Heterotroph; Lytic cycle; Seawater; Vibrio; Microbiology; Environmental chemistry; Chemistry; Botany; Ecology; Biochemistry; Virus","score_opus":0.012492529473260195,"score_gpt":0.23271705617910135,"score_spread":0.22022452670584117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738285930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975562,0.00025756683,0.0015624533,0.000018934465,0.000018367848,0.000029182871,0.00009175895,0.000017815297,0.00044768606],"genre_scores_gemma":[0.9933171,0.00021235975,0.0038550652,0.00002230465,0.0000055238684,0.00003997503,0.00036014398,0.00001650874,0.002170891],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998161,0.000038334663,0.000013141448,0.00005186373,0.000046311838,0.000034188222],"domain_scores_gemma":[0.99983263,0.00006356013,0.00003433825,0.000024536648,0.000019239686,0.000025720074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002494108,0.0003525379,0.00023657636,0.000095984076,0.00013369802,0.00029570638,0.0002751311,0.00027705904,0.0007007689],"category_scores_gemma":[0.00023308696,0.00011780456,0.00025742335,0.00007272322,0.00023584487,0.00020758995,0.0003324169,0.00040627652,0.00018346435],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034692555,0.000012884214,0.00022667048,0.000020135943,0.0000027829383,0.000009346756,0.000010012526,0.000017685967,0.9992969,0.000028922406,0.0000050463823,0.00033494201],"study_design_scores_gemma":[0.000012472344,0.00032467864,0.00330884,0.0000037383793,0.0000066496777,0.000050884515,0.000027850367,0.0004757428,0.9952774,0.00004351325,0.000465518,0.0000027007081],"about_ca_topic_score_codex":0.0012326433,"about_ca_topic_score_gemma":0.0015272632,"teacher_disagreement_score":0.0012326433,"about_ca_system_score_codex":0.0005106095,"about_ca_system_score_gemma":0.00036033522,"threshold_uncertainty_score":0.0037047267},"labels":[],"label_agreement":null},{"id":"W2744360975","doi":"10.5194/bg-15-1011-2018","title":"Inorganic carbon fluxes on the Mackenzie Shelf of the Beaufort Sea","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Alberta; Dalhousie University","funders":"ArcticNet","keywords":"Downwelling; Oceanography; Upwelling; Halocline; Geology; Ekman transport; Dissolved organic carbon; Water column; Salinity","score_opus":0.012888747796617136,"score_gpt":0.20219401328316874,"score_spread":0.1893052654865516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2744360975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778455,0.00006290901,0.00003321008,0.000043393906,0.0000050542567,0.0000029029857,0.0006426168,0.000013042678,0.001412297],"genre_scores_gemma":[0.9986582,0.00003816329,0.00014518587,0.000019184072,0.000004299787,0.0000035638122,0.0006411597,0.0000050865756,0.00048527584],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999039,0.000007275505,0.0000048713177,0.0000324715,0.000027526765,0.000023906545],"domain_scores_gemma":[0.99986815,0.00001592988,0.0000349323,0.000009705818,0.000043204385,0.000028140079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013471617,0.00040937934,0.00023892571,0.00058412633,0.0008114258,0.00086202315,0.00037360628,0.0004989445,0.00133788],"category_scores_gemma":[0.0002602378,0.00019675701,0.00054922287,0.00069451163,0.000287315,0.00041536943,0.00047647365,0.00025861742,0.00016739381],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012210184,0.00013745853,0.89973766,0.00010871749,0.00038773305,0.0021444964,0.0011165333,0.035906963,0.038054343,0.0007081514,0.002660923,0.01781595],"study_design_scores_gemma":[0.000014757602,0.000036974267,0.98895735,0.0000092901755,0.000022515664,0.00004925017,0.0002449481,0.008352958,0.00078317604,0.000036494082,0.0014767473,0.000015584103],"about_ca_topic_score_codex":0.4269371,"about_ca_topic_score_gemma":0.3891583,"teacher_disagreement_score":0.5730629,"about_ca_system_score_codex":0.0023141077,"about_ca_system_score_gemma":0.00082792493,"threshold_uncertainty_score":0.84890413},"labels":[],"label_agreement":null},{"id":"W2745475244","doi":"10.5194/bg-15-2449-2018","title":"The distribution of methylated sulfur compounds, DMS and DMSP, in Canadian subarctic and Arctic marine waters during summer 2015","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimethylsulfoniopropionate; Oceanography; Dimethyl sulfide; Arctic; Phytoplankton; Environmental science; Subarctic climate; Chlorophyll a; Seawater; Bay; Sea ice; Polar night; Transect; Chemistry; Geology; Sulfur","score_opus":0.010114830856560326,"score_gpt":0.21123320466164341,"score_spread":0.2011183738050831,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2745475244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99384004,0.0005510888,0.000068942645,0.00006341617,0.000008570029,0.000009580775,0.003562954,0.000010701223,0.0018848726],"genre_scores_gemma":[0.9953631,0.0004435247,0.00026885027,0.000046794663,0.0000060216757,0.000008480011,0.0026867252,0.000004170186,0.0011722192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997998,0.0000068791505,0.000009437135,0.000050290055,0.000083379346,0.000050218838],"domain_scores_gemma":[0.99953306,0.000012702835,0.0000624955,0.000008000142,0.00028937837,0.00009437503],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022197611,0.00044748434,0.000228191,0.0017957824,0.0015836164,0.0007790464,0.0004630869,0.00025776916,0.00058792083],"category_scores_gemma":[0.00029819802,0.00018811588,0.00023457245,0.0019777166,0.00037792514,0.00022576586,0.00049858505,0.00023219814,0.00009456203],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013990566,0.000019827483,0.9835263,0.000056614077,0.000097478674,0.00009563266,0.00071463984,0.00025435223,0.0059221373,0.00007314175,0.00096091366,0.008139131],"study_design_scores_gemma":[0.0000012750916,0.0000057287293,0.9983878,0.000007157696,0.0000116521305,0.000014190416,0.0003438575,0.0001352863,0.0003040588,0.000004691348,0.0007802961,0.000004068547],"about_ca_topic_score_codex":0.9818664,"about_ca_topic_score_gemma":0.993523,"teacher_disagreement_score":0.01813358,"about_ca_system_score_codex":0.009349091,"about_ca_system_score_gemma":0.0066892793,"threshold_uncertainty_score":0.06783271},"labels":[],"label_agreement":null},{"id":"W2747356577","doi":"10.5194/bg-15-821-2018","title":"Wet–dry cycles impact DOM retention in subsurface soils","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan; Canadian Light Source; National Science Foundation","keywords":"Dissolved organic carbon; Entisol; Chemistry; Soil water; Alfisol; Environmental chemistry; Soil science; Environmental science","score_opus":0.015392658561796679,"score_gpt":0.2534517131840435,"score_spread":0.23805905462224686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747356577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897707,0.00017444478,0.00016164262,0.000014783553,0.000005135546,0.0000113584365,0.00025907214,0.000012338782,0.0003841705],"genre_scores_gemma":[0.9985697,0.00012226589,0.00020054843,0.000045304,0.000002926666,0.000018685461,0.0004095228,0.000013387547,0.00061760016],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99981433,0.000019493302,0.000011226915,0.000057991147,0.000038742182,0.00005825816],"domain_scores_gemma":[0.9997416,0.000048738282,0.00006220988,0.000015591573,0.00007785815,0.00005399762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001595922,0.0003564026,0.00027931237,0.00021105263,0.00024458117,0.0006728018,0.00028344337,0.00030809184,0.0012021351],"category_scores_gemma":[0.00026105836,0.0001717583,0.00020435758,0.00017235466,0.00021373935,0.00035568827,0.0003967635,0.00031127752,0.00021356496],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041027647,0.00006145757,0.008370973,0.000079659454,0.000028125012,0.000059560643,0.000052504165,0.00015049963,0.9877467,0.000023166001,0.000076128235,0.0029409956],"study_design_scores_gemma":[0.000042642216,0.0011350135,0.5273527,0.000019350973,0.00006955135,0.00011952213,0.0007463187,0.002100344,0.46416086,0.0001282525,0.0040957537,0.000029726196],"about_ca_topic_score_codex":0.0070362464,"about_ca_topic_score_gemma":0.008519226,"teacher_disagreement_score":0.0070362464,"about_ca_system_score_codex":0.00063464756,"about_ca_system_score_gemma":0.00034526753,"threshold_uncertainty_score":0.013990581},"labels":[],"label_agreement":null},{"id":"W2748757771","doi":"10.5194/bg-14-3743-2017","title":"A global hotspot for dissolved organic carbon in hypermaritime watersheds of coastal British Columbia","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; Ministry of Forests; University of Alberta; Vancouver Island University; Tula Foundation; Simon Fraser University","funders":"Hakai Institute; Tula Foundation","keywords":"Dissolved organic carbon; Environmental science; Hydrology (agriculture); Watershed; Temperate climate; Discharge; STREAMS; Seasonality; Oceanography; Drainage basin; Geology; Ecology; Geography","score_opus":0.011402895978158504,"score_gpt":0.20622749109428004,"score_spread":0.19482459511612155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2748757771","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819994,0.00014997949,0.00002786531,0.00007944707,0.000001679021,0.000010343976,0.00069675606,0.0000090210315,0.0008249041],"genre_scores_gemma":[0.9987871,0.000113208036,0.000073152296,0.000037647857,0.0000012104618,0.000012528842,0.00047895501,0.0000027157998,0.0004935132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997764,0.000019314492,0.000011954788,0.000067462315,0.000051716863,0.00007321959],"domain_scores_gemma":[0.9994411,0.00003547638,0.00014040123,0.00002945407,0.00020670341,0.0001469286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014489608,0.00023938633,0.0002620309,0.0015768606,0.0013865253,0.001226497,0.0006063631,0.00030865867,0.0013472468],"category_scores_gemma":[0.00051558553,0.00020420236,0.00013044823,0.0030399978,0.0006009191,0.00026760116,0.0007414925,0.00031791528,0.00013662028],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024502377,0.000016875558,0.9936666,0.000019306506,0.000029943565,0.00017395387,0.0005398942,0.000058665748,0.0015826632,0.000035276084,0.00042362482,0.0034286068],"study_design_scores_gemma":[6.708101e-7,0.0000016612657,0.9990023,0.000005020575,0.000003344124,0.000026945943,0.00066135253,0.00006919588,0.000032403877,0.000003633126,0.00019137672,0.000002171958],"about_ca_topic_score_codex":0.9198392,"about_ca_topic_score_gemma":0.9770693,"teacher_disagreement_score":0.0801608,"about_ca_system_score_codex":0.0054434403,"about_ca_system_score_gemma":0.0031536703,"threshold_uncertainty_score":0.16126573},"labels":[],"label_agreement":null},{"id":"W2751774755","doi":"10.5194/bg-15-3743-2018","title":"The sensitivity of estuarine aragonite saturation state and pH to the carbonate chemistry of a freshet-dominated river","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; University of British Columbia","funders":"Fisheries and Oceans Canada; Simon Fraser University; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Aragonite; Estuary; Alkalinity; Ocean acidification; Carbonate; Biogeochemical cycle; Oceanography; Dissolved organic carbon; Salinity; Environmental science; Plume; Environmental chemistry; Saturation (graph theory); Chemistry; Seawater; Geology","score_opus":0.007404719152274057,"score_gpt":0.21016890003706448,"score_spread":0.20276418088479042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751774755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875927,0.000023668576,0.00037359714,0.000041974985,0.0000024141575,0.000004015272,0.00018030101,0.00001659678,0.00059832237],"genre_scores_gemma":[0.99967694,0.000015321273,0.000098131495,0.000008283774,3.830729e-7,0.0000013922897,0.00007109893,0.0000018856013,0.00012659063],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99992764,0.000012333845,0.0000042950905,0.000028973467,0.000008593134,0.000018218509],"domain_scores_gemma":[0.99983287,0.00004876379,0.00003117352,0.0000173972,0.000035468056,0.00003422246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016808124,0.0004243129,0.00019701682,0.00019143515,0.00030129438,0.00072476326,0.0005499159,0.0005837103,0.00052783045],"category_scores_gemma":[0.00051781314,0.0003299894,0.0005488817,0.00019568458,0.00035109368,0.0002682431,0.00038579886,0.00032175114,0.00006785561],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031546835,0.00010315768,0.33727416,0.000063023246,0.00036972002,0.00024128359,0.00014004565,0.61234784,0.043947674,0.001029751,0.00057803723,0.003589914],"study_design_scores_gemma":[0.00006122497,0.00015506244,0.25862503,0.000011997064,0.00011572357,0.000059464095,0.0001818637,0.7359551,0.0036955231,0.0005138497,0.00057246524,0.000052629748],"about_ca_topic_score_codex":0.2716153,"about_ca_topic_score_gemma":0.21176267,"teacher_disagreement_score":0.2716153,"about_ca_system_score_codex":0.0023617877,"about_ca_system_score_gemma":0.0010207284,"threshold_uncertainty_score":0.5400686},"labels":[],"label_agreement":null},{"id":"W2752542828","doi":"10.5194/bg-14-3899-2017","title":"Soil water regulates the control of photosynthesis on diel hysteresis between soil respiration and temperature in a desert shrubland","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Beijing Forestry University; National Natural Science Foundation of China; Itä-Suomen Yliopisto","keywords":"Diel vertical migration; Photosynthesis; Shrub; Shrubland; Q10; Environmental science; Soil respiration; Soil water; Ecosystem; Soil science; Ecology; Respiration; Biology; Botany","score_opus":0.011310394536145855,"score_gpt":0.2097089473954016,"score_spread":0.19839855285925576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752542828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996306,0.00004283465,0.00013114141,0.0000053243875,6.8351267e-7,0.0000014628096,0.000033702843,0.0000042210695,0.00015003927],"genre_scores_gemma":[0.9997714,0.000020924968,0.00007491612,0.000005061935,7.1407914e-7,0.0000018776789,0.000051605748,0.0000013166596,0.00007210145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999492,0.00000932886,0.000003573579,0.000019165305,0.0000066346556,0.000012070462],"domain_scores_gemma":[0.9998579,0.000021591952,0.00004495988,0.0000118701555,0.00002890414,0.000034852346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015867343,0.00014202959,0.00022768982,0.00029952353,0.00019703317,0.00026464555,0.00015844604,0.00009926673,0.00032582576],"category_scores_gemma":[0.00015705422,0.00014059094,0.00016482324,0.000174786,0.00023336579,0.00020605062,0.00023698363,0.00010584076,0.000062634055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025587596,0.000091976464,0.6151076,0.0000702166,0.00010786292,0.00022615919,0.0005566448,0.0009123177,0.37184885,0.00020078935,0.00014769738,0.010474118],"study_design_scores_gemma":[0.0000021328724,0.000017291784,0.99734724,0.0000012054602,0.0000046430664,0.00002056329,0.00007499564,0.0009518064,0.0014563776,0.00003123053,0.00008988205,0.0000025984607],"about_ca_topic_score_codex":0.0064995904,"about_ca_topic_score_gemma":0.011307232,"teacher_disagreement_score":0.0064995904,"about_ca_system_score_codex":0.00036142464,"about_ca_system_score_gemma":0.00022490132,"threshold_uncertainty_score":0.012923539},"labels":[],"label_agreement":null},{"id":"W2756343729","doi":"10.5194/bg-15-1273-2018","title":"The pyrogeography of eastern boreal Canada from 1901 to 2012 simulated with the LPJ-LMfire model","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue; Natural Resources Canada; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Taiga; Boreal; Environmental science; Vegetation (pathology); Biomass (ecology); Disturbance (geology); Primary production; Physical geography; Black spruce; Climatology; Geography; Atmospheric sciences; Ecology; Forestry; Ecosystem; Geology","score_opus":0.005580999487296226,"score_gpt":0.19086734767707433,"score_spread":0.1852863481897781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2756343729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897113,0.00010992223,0.0009884873,0.0001697789,0.000029655335,0.000025885956,0.00560198,0.00022093244,0.0031420514],"genre_scores_gemma":[0.9947608,0.00005238012,0.0010866339,0.000032346685,0.000005417146,0.000018638382,0.0034439221,0.000028918388,0.0005708484],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998373,0.000024129555,0.000007834339,0.000047302477,0.000026678841,0.0000566554],"domain_scores_gemma":[0.99934226,0.00013401733,0.000053097086,0.00004906628,0.0002821992,0.00013923999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037481723,0.00078238983,0.0004780504,0.00058564154,0.0012666549,0.0009994864,0.0016981207,0.00089777505,0.0021665744],"category_scores_gemma":[0.0011272153,0.00047973788,0.0008871373,0.0010224222,0.0007427017,0.00036888054,0.00042238084,0.00091563165,0.00024322914],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016020135,0.000098198274,0.06530179,0.000037799462,0.00009336766,0.000118507465,0.000072485214,0.9294134,0.00051064667,0.00059648283,0.001680585,0.0019164927],"study_design_scores_gemma":[0.00010742088,0.00003781383,0.043161146,0.00001796793,0.00005089348,0.000026764428,0.00015678552,0.95474,0.00033329634,0.00015645334,0.0011675069,0.00004396494],"about_ca_topic_score_codex":0.94562554,"about_ca_topic_score_gemma":0.9331363,"teacher_disagreement_score":0.054374456,"about_ca_system_score_codex":0.009462605,"about_ca_system_score_gemma":0.0066102464,"threshold_uncertainty_score":0.109389305},"labels":[],"label_agreement":null},{"id":"W2757806320","doi":"10.5194/bg-15-1293-2018","title":"Impacts of droughts and extreme-temperature events on gross primary production and ecosystem respiration: a systematic assessment across ecosystems and climate zones","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":273,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Université Laval; McMaster University","funders":"Lawrence Berkeley National Laboratory; Natural Environment Research Council; Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; European Commission; Sight Research UK; University of Virginia; Horizon 2020 Framework Programme; Microsoft Research; Max-Planck-Gesellschaft; Università degli Studi della Tuscia; Université Laval; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; National Science Foundation","keywords":"Ecosystem respiration; Primary production; Eddy covariance; Environmental science; Ecosystem; Atmospheric sciences; Climate change; FluxNet; Climatology; Terrestrial ecosystem; Ecology","score_opus":0.012524450540356655,"score_gpt":0.245478769117736,"score_spread":0.23295431857737936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757806320","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954692,0.0025128783,0.00045840073,0.000016174698,0.000005178533,0.000012964364,0.0012460813,0.000007884528,0.0002712867],"genre_scores_gemma":[0.9966673,0.0012495059,0.00054196455,0.000022238797,0.000008612821,0.000027986616,0.0013476112,0.0000046464725,0.00013006231],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995542,0.000109054,0.00009616633,0.00014619586,0.00006300033,0.00003127344],"domain_scores_gemma":[0.9980096,0.00043385633,0.0009684628,0.00017451817,0.00026397614,0.00014960651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010897232,0.00032725342,0.0004023287,0.0017897221,0.00030428037,0.0004966652,0.00021167274,0.00019089087,0.00048142116],"category_scores_gemma":[0.0014694905,0.00020860923,0.00088690413,0.0019338534,0.00030990562,0.00047645613,0.0008811598,0.0001889543,0.0001020152],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060467308,0.0000149579755,0.98844004,0.00028566344,0.00072644,0.000062436564,0.00025100412,0.00019440021,0.0014935911,0.000033591507,0.00010897816,0.008328433],"study_design_scores_gemma":[0.0000013258739,0.000024741179,0.9991411,0.000030155694,0.00013777839,0.000074210344,0.0001270479,0.00010122729,0.000097224176,0.000016442214,0.00024472384,0.000003960768],"about_ca_topic_score_codex":0.0033253822,"about_ca_topic_score_gemma":0.009799249,"teacher_disagreement_score":0.0033253822,"about_ca_system_score_codex":0.0001985131,"about_ca_system_score_gemma":0.00031483153,"threshold_uncertainty_score":0.0066120625},"labels":[],"label_agreement":null},{"id":"W2760852453","doi":"10.5194/bg-15-2629-2018","title":"Biodiversity and trophic ecology of hydrothermal vent fauna associated with tubeworm assemblages on the Juan de Fuca Ridge","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université de Bretagne Occidentale; Université de Montréal; Agence Nationale de la Recherche; Government of Canada; Université du Québec à Trois-Rivières","keywords":"Trophic level; Ecology; Biodiversity; Predation; Biology; Biomass (ecology); Invertebrate; Benthic zone; Fauna; Polychaete; Hydrothermal vent; Ridge; Habitat; Abundance (ecology); Apex predator; Paleontology","score_opus":0.022128893458080303,"score_gpt":0.2221589082439869,"score_spread":0.2000300147859066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760852453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99975556,0.000054534372,0.000011589454,0.000002277344,4.6707902e-7,0.0000013590889,0.00007014028,7.833217e-7,0.000103249775],"genre_scores_gemma":[0.999655,0.00005892594,0.000046442667,0.0000019469062,0.0000011451441,0.0000022857134,0.00012558862,3.9094175e-7,0.00010822997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993074,0.0000091637185,0.0000058521696,0.000020380467,0.000012701445,0.000021157377],"domain_scores_gemma":[0.9998191,0.000017763685,0.00007953543,0.0000071721415,0.000027697906,0.000048856265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014203123,0.00021790064,0.00017369412,0.00085661706,0.00028885005,0.00036581245,0.00012198846,0.00016198834,0.0005240611],"category_scores_gemma":[0.00026482172,0.00010012547,0.00016704334,0.00045972774,0.00028623693,0.00014788838,0.00034789197,0.00008875567,0.00006610564],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052399962,0.000008126664,0.99131936,0.000022315691,0.000030664625,0.00007200379,0.00048159598,0.000046803205,0.005702429,0.000011909263,0.000022327824,0.0022300833],"study_design_scores_gemma":[4.135782e-7,0.000010436033,0.9996829,0.0000021315661,0.0000027534738,0.000027390784,0.00016109423,0.000030850755,0.000042275777,0.0000016722337,0.000037300233,7.704025e-7],"about_ca_topic_score_codex":0.017831625,"about_ca_topic_score_gemma":0.03905662,"teacher_disagreement_score":0.017831625,"about_ca_system_score_codex":0.00029967036,"about_ca_system_score_gemma":0.00019140648,"threshold_uncertainty_score":0.035455644},"labels":[],"label_agreement":null},{"id":"W2761478600","doi":"10.5194/bg-15-2111-2018","title":"Hurricane Arthur and its effect on the short-term variability of <i>p</i> CO <sub>2</sub> on the Scotian Shelf, NW Atlantic","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; University of British Columbia; Dalhousie University","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Thermocline; Oceanography; Phytoplankton; Water column; Environmental science; Mixed layer; Algal bloom; Spring bloom; Dissolved organic carbon; Storm; Surface water; Bloom; Sea surface temperature; Atmospheric sciences; Geology; Nutrient; Chemistry","score_opus":0.012669657201674716,"score_gpt":0.20902513342539117,"score_spread":0.19635547622371646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2761478600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990408,0.000057190187,0.000020016018,0.000042761432,0.0000056770923,0.000002460117,0.00033962927,0.0000025501322,0.0004889145],"genre_scores_gemma":[0.9994203,0.000035594592,0.000018886089,0.000013228799,0.000004122637,0.0000019198574,0.00030728575,9.3663334e-7,0.00019764755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999399,0.0000071821537,0.0000042198676,0.000014820626,0.000019707188,0.000014255874],"domain_scores_gemma":[0.9996151,0.000042663207,0.00012030412,0.000017585924,0.00010845999,0.000095836716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014739354,0.00012648941,0.000113536036,0.00024183223,0.00024821045,0.00032453175,0.00012679688,0.00018041395,0.0007645586],"category_scores_gemma":[0.00039787916,0.000064686144,0.0002075761,0.00031559722,0.00023306094,0.00011224127,0.00023858697,0.0002049766,0.000119640325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023147502,0.00004161084,0.98427665,0.000021652842,0.00008727952,0.0002977344,0.00015033006,0.0009862126,0.010416823,0.00007595866,0.0006455086,0.002768914],"study_design_scores_gemma":[0.0000010261564,0.000008874603,0.99948114,0.0000010612482,0.0000032191133,0.000007039241,0.000039663104,0.00028828936,0.00007431047,0.000003516177,0.00009074516,0.0000011081871],"about_ca_topic_score_codex":0.21317941,"about_ca_topic_score_gemma":0.2762791,"teacher_disagreement_score":0.7868206,"about_ca_system_score_codex":0.0009221626,"about_ca_system_score_gemma":0.0005482153,"threshold_uncertainty_score":0.42387712},"labels":[],"label_agreement":null},{"id":"W2763999662","doi":"10.5194/bg-15-2289-2018","title":"Particulate barium tracing of significant mesopelagic carbon remineralisation in the North Atlantic","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Bjerknessenteret for klimaforskning, Universitetet i Bergen; Vlaamse regering; Centre National de la Recherche Scientifique; European Regional Development Fund; Vrije Universiteit Brussel; Ministerio de Economía y Competitividad; National Aeronautics and Space Administration; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Mesopelagic zone; Oceanography; Remineralisation; Biogeochemistry; Environmental science; Phytoplankton; Biogenic silica; Geology; Diatom; Chemistry; Nutrient; Pelagic zone","score_opus":0.01968076672081876,"score_gpt":0.20666447840212998,"score_spread":0.18698371168131123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763999662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828917,0.00020754761,0.00028504696,0.000025293757,0.000006756497,0.0000030993383,0.00032578694,0.000015655665,0.0008416632],"genre_scores_gemma":[0.99896085,0.00006758294,0.00041092286,0.000014795584,0.0000032115026,0.000002235082,0.0002327094,0.0000055941223,0.00030198353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999349,0.0000039169454,0.000004463844,0.00002632351,0.000016456768,0.000014039995],"domain_scores_gemma":[0.9999119,0.000006248125,0.00002640628,0.000006748718,0.000035458175,0.000013260688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115553165,0.00022285726,0.00017924368,0.00056703755,0.0003498391,0.00040838477,0.00018314623,0.00026383405,0.000697447],"category_scores_gemma":[0.00015880846,0.00017238932,0.00022799046,0.00035826516,0.0001410589,0.0002449137,0.00034832023,0.00021300126,0.00012856294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027366963,0.000025836802,0.7243189,0.000079301346,0.00009940187,0.00017047119,0.0002809622,0.0005834631,0.26336303,0.00007751007,0.00021134687,0.010516092],"study_design_scores_gemma":[0.000004874731,0.00002891847,0.99370724,0.000006387609,0.000027202863,0.000033123328,0.00010917776,0.0015042002,0.0040525426,0.000014217827,0.0005078327,0.0000043258747],"about_ca_topic_score_codex":0.08503229,"about_ca_topic_score_gemma":0.16611758,"teacher_disagreement_score":0.08503229,"about_ca_system_score_codex":0.0005257231,"about_ca_system_score_gemma":0.00046439958,"threshold_uncertainty_score":0.16907465},"labels":[],"label_agreement":null},{"id":"W2765236167","doi":"10.5194/bg-15-2075-2018","title":"Water mass distributions and transports for the 2014 GEOVIDE cruise in the North Atlantic","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Bjerknessenteret for klimaforskning, Universitetet i Bergen; European Regional Development Fund; Horizon 2020 Framework Programme; Centre National de la Recherche Scientifique; Ministerio de Economía y Competitividad; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Geotraces; Water mass; Ocean gyre; Oceanography; North Atlantic Deep Water; Antarctic Intermediate Water; Geology; Deep ocean water; Mode water; Circumpolar deep water; Cruise; Box model; Antarctic Bottom Water; Deep water; Climatology; Environmental science; Seawater","score_opus":0.01207686597925616,"score_gpt":0.20461447443191788,"score_spread":0.1925376084526617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765236167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970907,0.000028948358,0.00010205567,0.000030834002,0.0000061492588,0.000004542844,0.0019205827,0.000024537967,0.0007915317],"genre_scores_gemma":[0.9929066,0.00003834817,0.0003144257,0.00001453241,0.00000943795,0.000010623208,0.005712482,0.000015143039,0.000978417],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989057,0.000007362523,0.000006696797,0.00003392974,0.000034554032,0.00002684788],"domain_scores_gemma":[0.9998191,0.000018081646,0.000051765746,0.000016881182,0.00005966526,0.00003449056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016164596,0.00028135887,0.00022289764,0.0008078661,0.0003425061,0.00044807311,0.00023970741,0.0005274515,0.0009228034],"category_scores_gemma":[0.0004358923,0.00021205633,0.00053430285,0.0005497571,0.000245809,0.0002927855,0.0005352586,0.00026306143,0.00018838512],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005397924,0.00007372724,0.965735,0.000042550626,0.00017722817,0.00023843221,0.00040537576,0.0086425375,0.011787368,0.0001909318,0.0015334478,0.010633646],"study_design_scores_gemma":[0.0000069570724,0.000028944763,0.9961002,0.000008849342,0.000010674344,0.000023844921,0.00012631093,0.002363896,0.00042427858,0.000015904423,0.00088069227,0.000009299024],"about_ca_topic_score_codex":0.12982392,"about_ca_topic_score_gemma":0.26140893,"teacher_disagreement_score":0.12982392,"about_ca_system_score_codex":0.001134525,"about_ca_system_score_gemma":0.0005483572,"threshold_uncertainty_score":0.2581365},"labels":[],"label_agreement":null},{"id":"W2766958676","doi":"10.5194/bg-15-2433-2018","title":"Water-stress-induced breakdown of carbon–water relations: indicators from diurnal FLUXNET patterns","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; University of Virginia; Natural Resources Canada; Microsoft Research; Max-Planck-Gesellschaft; Université Laval; Università degli Studi della Tuscia; U.S. Department of Energy; National Science Foundation","keywords":"Eddy covariance; FluxNet; Environmental science; Evapotranspiration; Atmospheric sciences; Evergreen; Stomatal conductance; Transpiration; Ecosystem; Ecology; Photosynthesis; Biology; Botany","score_opus":0.008071816797152725,"score_gpt":0.2042112797079788,"score_spread":0.1961394629108261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766958676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945581,0.00015976967,0.0019086681,0.000024305098,0.000008836872,0.000011426855,0.0021624083,0.000097966076,0.0010684544],"genre_scores_gemma":[0.9964455,0.0000471725,0.0009156239,0.0000127446865,0.000011176512,0.00001791995,0.0023298275,0.000021787197,0.0001982997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99983954,0.000034116718,0.000015471811,0.000050787727,0.000035999263,0.000024034069],"domain_scores_gemma":[0.9992976,0.00016511428,0.0002544607,0.00006567455,0.00014222614,0.000074888754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051906635,0.00025251973,0.00022254894,0.001283899,0.00022357129,0.00047898394,0.00022351844,0.00025835127,0.0010743128],"category_scores_gemma":[0.0010350854,0.00009344289,0.00015672093,0.0014733649,0.00017975579,0.00043373156,0.00034070158,0.0001582656,0.0002009413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036194865,0.00006991313,0.93657047,0.00013856165,0.00011404033,0.00008904072,0.00037508854,0.0026362112,0.03873946,0.00030982174,0.00091640017,0.019678958],"study_design_scores_gemma":[0.0000021480807,0.00002081613,0.99548596,0.000003785931,0.0000054473753,0.000056628967,0.00006486119,0.0024706547,0.0012109141,0.00009907851,0.00057372416,0.000005801544],"about_ca_topic_score_codex":0.0023929588,"about_ca_topic_score_gemma":0.003700888,"teacher_disagreement_score":0.0023929588,"about_ca_system_score_codex":0.00021388185,"about_ca_system_score_gemma":0.00010231878,"threshold_uncertainty_score":0.00475806},"labels":[],"label_agreement":null},{"id":"W2767563902","doi":"10.5194/bg-15-3223-2018","title":"The triple oxygen isotope composition of phytoliths as a proxy of continental atmospheric humidity: insights from climate chamber and climate transect calibrations","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Silicon Effects in Agriculture","field":"Agricultural and Biological Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Relative humidity; Phytolith; Transect; Environmental science; Water vapor; Atmospheric sciences; Transpiration; Humidity; Environmental chemistry; Chemistry; Geology; Ecology; Photosynthesis; Meteorology; Oceanography; Geography","score_opus":0.009819563139523986,"score_gpt":0.2213205666920918,"score_spread":0.21150100355256782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767563902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940468,0.000339402,0.003672815,0.000012297879,0.000010751994,0.0000058495166,0.000885908,0.000043729895,0.0009825007],"genre_scores_gemma":[0.9954691,0.00015393,0.0027081778,0.000014755867,0.000004888453,0.000007322309,0.0013214736,0.000054551463,0.00026582266],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99979264,0.00003164607,0.000010721579,0.000100848854,0.00004957967,0.000014541019],"domain_scores_gemma":[0.99943954,0.00010499997,0.00015765685,0.000105161715,0.00016165082,0.00003092607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005673725,0.00029574696,0.00022387077,0.00054650434,0.00024421487,0.0004017337,0.00022909176,0.0002587067,0.0005498577],"category_scores_gemma":[0.00082239544,0.00018674,0.0003227062,0.000994349,0.0002004931,0.0003362393,0.00026086255,0.0002450249,0.00020775945],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031322785,0.00006131255,0.68028957,0.00013768145,0.0004885951,0.00012551543,0.0006131955,0.003665411,0.28675044,0.00025171036,0.0003530507,0.026950283],"study_design_scores_gemma":[0.0000037515088,0.00002910292,0.97956985,0.0000053949543,0.00007255743,0.00008317805,0.00010101009,0.006231062,0.012490573,0.0000491952,0.0013485888,0.000015798132],"about_ca_topic_score_codex":0.009553361,"about_ca_topic_score_gemma":0.024347814,"teacher_disagreement_score":0.009553361,"about_ca_system_score_codex":0.00022631545,"about_ca_system_score_gemma":0.00015633318,"threshold_uncertainty_score":0.018995523},"labels":[],"label_agreement":null},{"id":"W2767905553","doi":"10.5194/bg-15-3121-2018","title":"N and P as ultimate and proximate limiting nutrients in the northern Gulf of Mexico: implications for hypoxia reduction strategies","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Center for Sponsored Coastal Ocean Research; National Oceanic and Atmospheric Administration","keywords":"Nutrient; Hypoxia (environmental); Environmental science; Biogeochemical cycle; Eutrophication; Watershed; Biogeochemistry; Ecology; Oceanography; Hydrology (agriculture); Biology; Geology; Chemistry; Oxygen","score_opus":0.0218522151250198,"score_gpt":0.24799052446903935,"score_spread":0.22613830934401954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767905553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762565,0.00022043718,0.0006042632,0.00043512322,0.000010405742,0.0000113721535,0.00032937012,0.000027112103,0.0007362795],"genre_scores_gemma":[0.99821776,0.00022574482,0.0010373305,0.000052257757,0.0000060156426,0.000017955866,0.00025526018,0.000009375745,0.00017828564],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999162,0.000026781567,0.000005277824,0.000024037035,0.00000825461,0.00001955575],"domain_scores_gemma":[0.99939823,0.00033183614,0.00010198133,0.000027249838,0.0000840195,0.000056675748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005470873,0.0005009204,0.00048197008,0.0003421388,0.00054646237,0.0007343556,0.0006785076,0.000754015,0.0010997893],"category_scores_gemma":[0.0018347393,0.00024167642,0.0005743686,0.0003020482,0.00039071147,0.0006331378,0.0005267632,0.00060342724,0.000046803652],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028121978,0.0001842918,0.1795108,0.00013646398,0.0003049219,0.00020938217,0.00010407306,0.80890185,0.0035538767,0.00072097307,0.0007916981,0.0053005074],"study_design_scores_gemma":[0.00013784849,0.00028324785,0.10469246,0.000047822563,0.00021960877,0.000029540615,0.0005603718,0.8904482,0.0014844155,0.0007532821,0.0013010466,0.00004214249],"about_ca_topic_score_codex":0.15472496,"about_ca_topic_score_gemma":0.09432488,"teacher_disagreement_score":0.15472496,"about_ca_system_score_codex":0.0014897189,"about_ca_system_score_gemma":0.0013115722,"threshold_uncertainty_score":0.30764872},"labels":[],"label_agreement":null},{"id":"W2767974965","doi":"10.5194/bg-14-4851-2017","title":"Ecophysiological modeling of photosynthesis and carbon allocation to the tree stem in the boreal forest","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Montréal","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; European Commission; Université Laval","keywords":"Black spruce; Taiga; Environmental science; Boreal; Canopy; Atmospheric sciences; Primary production; Climatology; Climate change; Ecology; Global warming; Carbon sink; Ecosystem; Biology; Geology","score_opus":0.022695402606086355,"score_gpt":0.22246134316620655,"score_spread":0.1997659405601202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767974965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98009,0.00023529098,0.015952373,0.00009589267,0.000015111427,0.000014836171,0.00024194409,0.0001308075,0.0032238772],"genre_scores_gemma":[0.9963761,0.00006722639,0.0027325812,0.000014956996,0.000004068279,0.000013010289,0.00007551167,0.000011205904,0.00070526835],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992716,0.000017739872,0.0000031561271,0.000021496486,0.000013183858,0.000017323953],"domain_scores_gemma":[0.99986887,0.00004915604,0.000019229416,0.000010101734,0.000029867066,0.000022716291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027784283,0.00044792306,0.00029548432,0.00020911086,0.00044481072,0.00043716724,0.0007360448,0.0004712202,0.0006595417],"category_scores_gemma":[0.00040517692,0.00020773905,0.00055916596,0.00021528252,0.00033752478,0.00034040678,0.0002739501,0.00029242312,0.00005520218],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005858507,0.000030839823,0.007673986,0.000017571416,0.000027801367,0.000047076624,0.000030212997,0.9851894,0.0037744306,0.0008606111,0.000111453584,0.002178015],"study_design_scores_gemma":[0.000010294344,0.000020253501,0.0048622475,0.0000014271012,0.000006730264,0.000010419664,0.000010446747,0.9944284,0.00026317817,0.00021277643,0.00016990003,0.0000038919106],"about_ca_topic_score_codex":0.14791834,"about_ca_topic_score_gemma":0.13335536,"teacher_disagreement_score":0.14791834,"about_ca_system_score_codex":0.0013984485,"about_ca_system_score_gemma":0.000974976,"threshold_uncertainty_score":0.2941147},"labels":[],"label_agreement":null},{"id":"W2768138043","doi":"10.5194/bg-15-3169-2018","title":"Dimethyl sulfide dynamics in first-year sea ice melt ponds in the Canadian Arctic Archipelago","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Museum of Nature; Fisheries and Oceans Canada; Université du Québec à Rimouski; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; ArcticNet; Université Laval","keywords":"Dimethyl sulfide; Dimethylsulfoniopropionate; Sea ice; Arctic; Brackish water; Seawater; Archipelago; Oceanography; Environmental science; Atmosphere (unit); Environmental chemistry; Salinity; Geology; Chemistry; Sulfur; Ecology; Phytoplankton; Biology","score_opus":0.013159501679623216,"score_gpt":0.21541766171893323,"score_spread":0.20225816003931002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768138043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988187,0.00016132978,0.000040301224,0.000017514294,0.0000022178763,0.000006534261,0.0004444465,0.0000062432828,0.00050276035],"genre_scores_gemma":[0.99783,0.00024902236,0.00034922984,0.000027071506,0.0000019723275,0.000010187312,0.0008692505,0.000003376796,0.00065984513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998252,0.0000059514423,0.000007013623,0.000042647192,0.00007043797,0.000048727205],"domain_scores_gemma":[0.9996643,0.000014957234,0.000047674184,0.000007762338,0.00019623124,0.0000689829],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019153794,0.00033262168,0.0004335098,0.0014117003,0.0025569408,0.0009101007,0.00042200673,0.0002628278,0.00051072915],"category_scores_gemma":[0.00027741535,0.00024226242,0.00028894562,0.001654721,0.0005556568,0.00021388022,0.00043122395,0.00024671317,0.00008307693],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000403975,0.000053891592,0.91105586,0.00009164523,0.000081095444,0.00028507673,0.002228539,0.00047904643,0.075278565,0.00007218421,0.00027017662,0.009699919],"study_design_scores_gemma":[0.0000023611713,0.00002323715,0.99552166,0.0000061528995,0.000016556269,0.000031768202,0.00082179456,0.00026862166,0.002683889,0.000007039904,0.0006099006,0.000006980651],"about_ca_topic_score_codex":0.93913615,"about_ca_topic_score_gemma":0.9781302,"teacher_disagreement_score":0.060863853,"about_ca_system_score_codex":0.012710483,"about_ca_system_score_gemma":0.0066413833,"threshold_uncertainty_score":0.12244451},"labels":[],"label_agreement":null},{"id":"W2768472786","doi":"10.5194/bg-15-2325-2018","title":"Physico-chemical and biological factors influencing dinoflagellate cyst production in the Cariaco Basin","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Geological Survey of Canada","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; Universitetet i Oslo; Natural Resources Canada; Nationale Geologiske Undersøgelser for Danmark og Grønland; University of South Carolina; National Science Foundation","keywords":"Dinoflagellate; Upwelling; Sediment trap; Oceanography; Cyst; Productivity; Monsoon; Biology; Ecology; Geology; Water column","score_opus":0.022430712258174886,"score_gpt":0.21274393818020845,"score_spread":0.19031322592203356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768472786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997049,0.000068108755,0.0000065717136,0.000007026436,5.1799486e-7,0.0000010070094,0.00008529694,0.0000012880694,0.000125224],"genre_scores_gemma":[0.9997002,0.00004182643,0.000023059965,0.0000038954645,8.9958706e-7,0.000001603753,0.00015885223,6.6259315e-7,0.00006902249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999223,0.000008399074,0.000004409238,0.000024690964,0.000012114223,0.000028001588],"domain_scores_gemma":[0.99966395,0.000052180872,0.00012182712,0.00001404006,0.000067066,0.000080972684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012816208,0.00023078469,0.00017395137,0.0009357704,0.00057407364,0.00072459097,0.00020951779,0.00023286416,0.00076520845],"category_scores_gemma":[0.00055759755,0.00017096031,0.00012634922,0.0007694213,0.00030281948,0.00021583476,0.0002950345,0.0001613446,0.000065857734],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000037020287,0.000013917948,0.9950588,0.000014382969,0.000018619798,0.00006783873,0.0003342739,0.000077779776,0.002832638,0.000012916415,0.0000456868,0.0014861898],"study_design_scores_gemma":[0.0000010041633,0.000004895117,0.9996203,0.0000024420644,0.000003828892,0.000014935681,0.00013971375,0.00007448075,0.000048267437,0.0000024383085,0.00008685778,7.962866e-7],"about_ca_topic_score_codex":0.22872435,"about_ca_topic_score_gemma":0.38129455,"teacher_disagreement_score":0.22872435,"about_ca_system_score_codex":0.0011987003,"about_ca_system_score_gemma":0.00041956728,"threshold_uncertainty_score":0.45478606},"labels":[],"label_agreement":null},{"id":"W2770152193","doi":"10.5194/bg-15-3027-2018","title":"The <sup>226</sup> Ra–Ba relationship in the North Atlantic during GEOTRACES-GA01","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; Région Occitanie Pyrénées-Méditerranée; European Commission; National Aeronautics and Space Administration; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer; Ministerio de Economía y Competitividad; National Science Foundation","keywords":"Geotraces; Biogeochemical cycle; Oceanography; Water mass; Seafloor spreading; Thermohaline circulation; Geology; North Atlantic Deep Water; Water column; Sedimentary rock; Barium; Bottom water; Surface water; Seawater; Environmental science; Chemistry; Geochemistry; Environmental chemistry","score_opus":0.031002073360928008,"score_gpt":0.2529802476111951,"score_spread":0.22197817425026709,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770152193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99755067,0.00008008766,0.00014790904,0.00003382236,0.000006807567,0.0000029624707,0.0008761299,0.000012774844,0.0012889652],"genre_scores_gemma":[0.9977562,0.00003751364,0.00023989515,0.000018965662,0.000007067323,0.0000051652805,0.0013269708,0.000009937186,0.000598437],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988186,0.000010749002,0.000007944517,0.000042040843,0.000031042255,0.00002636246],"domain_scores_gemma":[0.9997788,0.000027693039,0.000063886015,0.000022923286,0.00008117878,0.000025502144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017638672,0.00017255232,0.00016822664,0.00031164748,0.00030281485,0.00040651165,0.0002000602,0.0003117304,0.0006573021],"category_scores_gemma":[0.00032045037,0.00013534309,0.00024809997,0.00040616558,0.00024666003,0.0001472209,0.0003717214,0.00017323745,0.00024644847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028960386,0.000022747867,0.9429882,0.00004986787,0.00013260978,0.000341485,0.00057503284,0.0015007581,0.043598868,0.00018975032,0.00057255774,0.009738593],"study_design_scores_gemma":[0.0000011280443,0.0000082478555,0.998412,0.000002111649,0.000008077165,0.000023512921,0.000062062594,0.00022763124,0.00050501287,0.000008025704,0.0007402142,0.000002039872],"about_ca_topic_score_codex":0.07643944,"about_ca_topic_score_gemma":0.18559967,"teacher_disagreement_score":0.07643944,"about_ca_system_score_codex":0.0009152016,"about_ca_system_score_gemma":0.0004353736,"threshold_uncertainty_score":0.15198904},"labels":[],"label_agreement":null},{"id":"W2770283201","doi":"10.5194/bg-14-5099-2017","title":"Technical note: An inverse method to relate organic carbon reactivity to isotope composition from serial oxidation","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Woods Hole Oceanographic Institution; National Aeronautics and Space Administration; National Science Foundation","keywords":"Reactivity (psychology); Chemistry; Isotopes of carbon; Kinetics; Isotope; Carbon fibers; Inverse; Analytical Chemistry (journal); Pyrolysis; Environmental chemistry; Total organic carbon; Organic chemistry; Computer science; Mathematics; Algorithm; Physics","score_opus":0.012896806924402157,"score_gpt":0.2609355943148503,"score_spread":0.24803878739044816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770283201","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0069358344,0.00011363707,0.9915735,0.00011159472,0.000113544884,0.000048456208,0.00012421349,0.0005648239,0.00041425592],"genre_scores_gemma":[0.07378194,0.000243902,0.92169994,0.00018541166,0.00008403255,0.0002467206,0.00030504446,0.0005703012,0.0028827398],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987435,0.00018230066,0.000072249466,0.00034053976,0.0006193025,0.00004203958],"domain_scores_gemma":[0.99741334,0.0007831048,0.00026533887,0.00079608685,0.0006896829,0.000052509626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028107506,0.001007954,0.0004218754,0.001116211,0.00046620815,0.0006713959,0.0012284279,0.0008174672,0.0022067502],"category_scores_gemma":[0.008339812,0.0005899483,0.0009680783,0.0007050924,0.00087744027,0.0009404912,0.001022945,0.0023036003,0.0015631194],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017813568,0.00015389036,0.007834409,0.00028871125,0.00012498187,0.000286407,0.00017360672,0.01237742,0.79267377,0.011719572,0.0037584675,0.17043065],"study_design_scores_gemma":[0.000025128222,0.00017611597,0.006243038,0.000023944063,0.00009446238,0.0012968355,0.000042040774,0.29672173,0.66464186,0.007886022,0.022692993,0.00015587483],"about_ca_topic_score_codex":0.0015943652,"about_ca_topic_score_gemma":0.002615318,"teacher_disagreement_score":0.0028107506,"about_ca_system_score_codex":0.00033123474,"about_ca_system_score_gemma":0.00085855246,"threshold_uncertainty_score":0.014864802},"labels":[],"label_agreement":null},{"id":"W2770550308","doi":"10.5194/bg-14-5297-2017","title":"Optical properties of size fractions of suspended particulate matter in littoral waters of Québec","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Particulates; Attenuation coefficient; Chlorophyll a; Estuary; Analytical Chemistry (journal); Particle size; Absorption (acoustics); Chemistry; Mineralogy; Spectral slope; Environmental chemistry; Geology; Materials science; Oceanography; Spectral line; Optics; Physics","score_opus":0.02352378259537271,"score_gpt":0.21930512179780975,"score_spread":0.19578133920243704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770550308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910409,0.0002922678,0.000284322,0.00007035417,0.000006015521,0.000019280626,0.002579685,0.000026806256,0.0056804596],"genre_scores_gemma":[0.9948309,0.00011436331,0.00024460524,0.0000574487,0.0000025073039,0.00001146849,0.0019512813,0.000008325699,0.0027791],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998814,0.0000053393837,0.000004384148,0.000038924627,0.000040472583,0.000029382214],"domain_scores_gemma":[0.9995795,0.00003259992,0.0000490318,0.000008714008,0.00026268835,0.000067495865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016674418,0.00033300405,0.00018785277,0.00077213335,0.0011949929,0.0007194435,0.00046009093,0.00023354522,0.0027988846],"category_scores_gemma":[0.0003682444,0.00015444052,0.00019403471,0.0011284862,0.0003284424,0.00030201682,0.0002548465,0.00028043494,0.00030132194],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032167215,0.00005417843,0.92786425,0.00012072891,0.0001966005,0.00016489856,0.0011801284,0.0013556691,0.04296073,0.0002635609,0.0022952978,0.023222335],"study_design_scores_gemma":[0.0000042958695,0.00001169797,0.997129,0.0000072704834,0.000011666375,0.000018924013,0.000260429,0.0009191914,0.0005858599,0.0000101542855,0.0010335837,0.000007908874],"about_ca_topic_score_codex":0.973354,"about_ca_topic_score_gemma":0.9848002,"teacher_disagreement_score":0.026646018,"about_ca_system_score_codex":0.012652773,"about_ca_system_score_gemma":0.0030238372,"threshold_uncertainty_score":0.091802716},"labels":[],"label_agreement":null},{"id":"W2770905466","doi":"10.5194/bg-15-2309-2018","title":"Mercury distribution and transport in the North Atlantic Ocean along the GEOTRACES-GA01 transect","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; European Research Council; Ministerio de Economía y Competitividad; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; European Commission","keywords":"Ocean gyre; Transect; Geotraces; Oceanography; Mercury (programming language); Water column; Water mass; Subtropics; Geology; Antarctic Intermediate Water; Oxygen minimum zone; Environmental science; Thermohaline circulation; North Atlantic Deep Water; Upwelling; Ecology","score_opus":0.018090694255368783,"score_gpt":0.24299693981919038,"score_spread":0.2249062455638216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770905466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966714,0.00010108721,0.00007352371,0.000022622775,0.00000814998,0.000005443054,0.0013827654,0.000012460569,0.0017225156],"genre_scores_gemma":[0.9951538,0.00012679673,0.0005600166,0.000033964086,0.0000071545082,0.0000142415665,0.002437193,0.000014223676,0.0016526928],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975675,0.000024245455,0.000012593356,0.000076861375,0.00008611834,0.000043300213],"domain_scores_gemma":[0.9995704,0.000020188627,0.000112031244,0.000025168585,0.00021386036,0.00005832955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024049013,0.00035080226,0.00027469944,0.000964588,0.0005824118,0.00073671807,0.0002582422,0.00036306656,0.00088686054],"category_scores_gemma":[0.00032180786,0.00019708916,0.00046050185,0.0009952598,0.0003407643,0.00018264381,0.0005232228,0.00028481026,0.000432918],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027451984,0.000021046531,0.968015,0.000058459627,0.00014142678,0.00018170108,0.0006300534,0.0004083817,0.021816274,0.000059601505,0.00042486892,0.007968633],"study_design_scores_gemma":[0.0000023302305,0.000020194148,0.9987878,0.0000060318353,0.00000775676,0.00002174732,0.00012882841,0.0000783054,0.00028470566,0.0000028696513,0.0006565576,0.0000028598351],"about_ca_topic_score_codex":0.3635368,"about_ca_topic_score_gemma":0.5916521,"teacher_disagreement_score":0.3635368,"about_ca_system_score_codex":0.0018079946,"about_ca_system_score_gemma":0.0014745389,"threshold_uncertainty_score":0.72284156},"labels":[],"label_agreement":null},{"id":"W2773353016","doi":"10.5194/bg-14-5471-2017","title":"Capturing temporal and spatial variability in the chemistry of shallow permafrost ponds","year":2017,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Churchill Northern Studies Centre; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Churchill Northern Studies Centre","keywords":"Spatial variability; Environmental science; Permafrost; Tundra; Precipitation; Biogeochemistry; Bay; Hydrology (agriculture); Physical geography; Ecology; Arctic; Oceanography; Geography; Geology","score_opus":0.03660370720062914,"score_gpt":0.2511828609691625,"score_spread":0.21457915376853334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773353016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987419,0.00005234133,0.0003262224,0.000008592757,0.0000023016241,0.000008131836,0.00040189264,0.000016357119,0.00044227572],"genre_scores_gemma":[0.9984176,0.000036981524,0.00078175403,0.000014210326,0.0000032466971,0.00001458624,0.00049871433,0.0000040784776,0.00022886523],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998839,0.0000111925865,0.0000072318135,0.000050929277,0.000025015692,0.000021687692],"domain_scores_gemma":[0.99962974,0.000045712066,0.00012812811,0.000023383514,0.00011642556,0.00005661243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023914062,0.00019033019,0.000308797,0.0008199626,0.0003841064,0.0005535418,0.00032382493,0.00020791878,0.0007558362],"category_scores_gemma":[0.00048083274,0.00014695051,0.00019857234,0.0010114537,0.00023386364,0.00043269584,0.00047666876,0.00019988496,0.00015778551],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008507773,0.00003394906,0.9852254,0.000022801973,0.00003732545,0.000051501065,0.00027765302,0.00025700856,0.006980848,0.000022892878,0.000136383,0.006869141],"study_design_scores_gemma":[0.0000022501556,0.000021276119,0.9980647,0.0000027725546,0.000007949993,0.000022016424,0.00022211892,0.0010568604,0.0004103886,0.000019917154,0.00016751121,0.0000021727856],"about_ca_topic_score_codex":0.017008709,"about_ca_topic_score_gemma":0.051362317,"teacher_disagreement_score":0.017008709,"about_ca_system_score_codex":0.00052109984,"about_ca_system_score_gemma":0.0003233187,"threshold_uncertainty_score":0.033819437},"labels":[],"label_agreement":null},{"id":"W2773474413","doi":"10.5194/bg-15-3189-2018","title":"Global-change effects on early-stage decomposition processes in tidal wetlands – implications from a global survey using standardized litter","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":118,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; McGill University","funders":"Division of Environmental Biology; Universität Hamburg; Bauer-Hollmann Stiftung; Smithsonian Institution; National Science Foundation","keywords":"Wetland; Environmental science; Ecosystem; Eutrophication; Salt marsh; Litter; Mangrove; Carbon cycle; Carbon sequestration; Biogeochemical cycle; Marsh; Sea level; Global change; Hydrology (agriculture); Ecology; Oceanography; Carbon dioxide; Climate change; Nutrient; Geology","score_opus":0.02742713023640387,"score_gpt":0.2983185163222323,"score_spread":0.2708913860858284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773474413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892503,0.000145278,0.0003576999,0.000008462954,0.0000015492246,0.000005163491,0.0003472454,0.000003672679,0.00020591001],"genre_scores_gemma":[0.998727,0.00008992147,0.00054151285,0.000011720517,0.0000022536447,0.000007656011,0.0005187067,0.0000023831712,0.00009878202],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976975,0.000069940485,0.000021138201,0.000071471026,0.00004424919,0.00002350021],"domain_scores_gemma":[0.9990747,0.0001287336,0.0004927141,0.00009844279,0.0001493719,0.000056038243],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006667897,0.00019694226,0.00012371528,0.0005127982,0.00013946202,0.00028075383,0.00013471693,0.00013899908,0.00037586672],"category_scores_gemma":[0.00058926694,0.00006924375,0.00024238092,0.00068190735,0.00020535944,0.0002629516,0.0002399228,0.00010780771,0.00007743916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008961697,0.000039162707,0.9759054,0.00003935785,0.000075011936,0.000028207085,0.00015366386,0.00015371897,0.016726887,0.000021229012,0.000038326274,0.0067293653],"study_design_scores_gemma":[3.1931285e-7,0.000038025482,0.99920756,0.0000013442329,0.000007670324,0.0000105993795,0.00005621426,0.00007505875,0.00051479565,0.0000047678013,0.00008271137,9.751237e-7],"about_ca_topic_score_codex":0.0064415406,"about_ca_topic_score_gemma":0.020217707,"teacher_disagreement_score":0.0064415406,"about_ca_system_score_codex":0.00022123595,"about_ca_system_score_gemma":0.00018410485,"threshold_uncertainty_score":0.0128080845},"labels":[],"label_agreement":null},{"id":"W2774172731","doi":"10.5194/bg-15-3937-2018","title":"Response of hydrology and CO <sub>2</sub> flux to experimentally altered rainfall frequency in a temperate poor fen, southern Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Sphagnum; Ecosystem respiration; Evapotranspiration; Peat; Water content; Temperate climate; Eddy covariance; Ecosystem; Hydrology (agriculture); Primary production; Vegetation (pathology); Precipitation; Soil water; Atmospheric sciences; Ecology; Soil science; Biology; Geography; Geology","score_opus":0.008911635734276476,"score_gpt":0.21840003096805882,"score_spread":0.20948839523378235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2774172731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992945,0.000021135487,0.00003757879,0.000013252146,0.0000011825372,0.000009231395,0.00032048216,0.000004396597,0.00029813906],"genre_scores_gemma":[0.9980818,0.000039320938,0.0001749489,0.000028118375,9.5275124e-7,0.000022268723,0.00036802242,0.000005461048,0.0012790072],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987316,0.000008284792,0.000004986399,0.00004256927,0.000029894463,0.000041038224],"domain_scores_gemma":[0.9995696,0.000041035626,0.00006040418,0.000019401872,0.00016376645,0.00014585651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012965382,0.0001969911,0.00023688808,0.00025380382,0.0013020142,0.0004902005,0.0004770674,0.00020278711,0.0011531035],"category_scores_gemma":[0.00030007542,0.00020250387,0.00014041195,0.00037361268,0.00065935694,0.00016119482,0.00026404997,0.00033124737,0.00013076306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0049456656,0.0006551239,0.61754954,0.000113785834,0.00011926132,0.0004867971,0.0026695747,0.0019820903,0.3596557,0.00016963259,0.0013656025,0.010287113],"study_design_scores_gemma":[0.000028114984,0.00014609758,0.9914151,0.0000037737839,0.000015108991,0.00002290015,0.0007937176,0.0007367503,0.005989129,0.000018872952,0.0008216575,0.000008856658],"about_ca_topic_score_codex":0.95152336,"about_ca_topic_score_gemma":0.9818885,"teacher_disagreement_score":0.048476636,"about_ca_system_score_codex":0.012064727,"about_ca_system_score_gemma":0.0050445623,"threshold_uncertainty_score":0.097524226},"labels":[],"label_agreement":null},{"id":"W2776962865","doi":"10.5194/bg-15-4683-2018","title":"An assessment of natural methane fluxes simulated by the CLASS-CTEM model","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Methane; Atmospheric methane; Environmental science; Sink (geography); Atmospheric sciences; Atmosphere (unit); Wetland; Methane emissions; Greenhouse gas; Ecosystem; Meteorology; Chemistry; Geology; Ecology; Geography","score_opus":0.009911391897431007,"score_gpt":0.2781623915740064,"score_spread":0.2682509996765754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2776962865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97895205,0.00015465806,0.0057466277,0.00024197514,0.000039316146,0.000053189626,0.005570269,0.0005904958,0.008651456],"genre_scores_gemma":[0.99145097,0.00008272244,0.004403705,0.00005389612,0.000005822663,0.000038654638,0.0030840128,0.00006367349,0.00081657403],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997707,0.00006308962,0.00001070464,0.00004960729,0.000058707483,0.000047118112],"domain_scores_gemma":[0.99900526,0.00038439414,0.00008147781,0.00007880954,0.00037384388,0.00007622604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090904953,0.0008654238,0.00042624527,0.00041504405,0.0006250681,0.0006991822,0.001545704,0.0007693883,0.0019057228],"category_scores_gemma":[0.0023505096,0.0003382668,0.00061721244,0.0007444797,0.0004115457,0.00066119723,0.00035903565,0.0006805638,0.0002346259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025319427,0.00007489964,0.016340094,0.000050201717,0.000059246024,0.000038635928,0.000038165566,0.9766148,0.0008806866,0.0010535072,0.0011240203,0.0034726325],"study_design_scores_gemma":[0.00004210385,0.000023863546,0.006125861,0.0000052201644,0.0000120621835,0.00000625751,0.0000233834,0.9926537,0.00046593047,0.00012206609,0.0005048867,0.00001467407],"about_ca_topic_score_codex":0.6549007,"about_ca_topic_score_gemma":0.4663988,"teacher_disagreement_score":0.6549007,"about_ca_system_score_codex":0.0033963977,"about_ca_system_score_gemma":0.003250014,"threshold_uncertainty_score":0.6942632},"labels":[],"label_agreement":null},{"id":"W2778188733","doi":"10.5194/bg-15-4609-2018","title":"Seagrass community-level controls over organic carbon storage are constrained by geophysical attributes within meadows of Zanzibar, Tanzania","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Leibniz-Gemeinschaft; Bundesministerium für Bildung und Forschung; McMaster University; European Commission; Deutscher Akademischer Austauschdienst; Leibniz-Zentrum für Marine Tropenforschung; Deutsche Forschungsgemeinschaft","keywords":"Seagrass; Sediment; Blue carbon; Environmental science; Reef; Biomass (ecology); Total organic carbon; Rhizome; Carbonate; Oceanography; Ecology; Biology; Ecosystem; Geology; Chemistry","score_opus":0.022505984481211348,"score_gpt":0.216056573516697,"score_spread":0.19355058903548564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2778188733","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998673,0.000021171196,0.000023872864,0.0000027323442,2.2402217e-7,0.0000011069441,0.00002539843,6.0385645e-7,0.000057512127],"genre_scores_gemma":[0.99983656,0.000014811238,0.00006004155,0.0000037976822,2.6495576e-7,0.0000018143949,0.00004595474,4.572078e-7,0.000036398465],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999118,0.000015979478,0.0000054263473,0.000024695648,0.0000083077875,0.000033656816],"domain_scores_gemma":[0.99985826,0.00001608252,0.00006401777,0.000010626552,0.00002175832,0.0000292113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015745277,0.00022828847,0.0001690074,0.00050135463,0.0003991916,0.00037498435,0.0001477453,0.000105729385,0.000738342],"category_scores_gemma":[0.0003100398,0.00019085701,0.000109820845,0.00033339954,0.00043272245,0.00017467569,0.00037848722,0.000113014314,0.00010158585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015735767,0.000021047557,0.96684253,0.000029639215,0.000040889554,0.00012055117,0.0016747243,0.000111684334,0.026464317,0.00006835152,0.00006210664,0.004406861],"study_design_scores_gemma":[0.0000015311435,0.00001212638,0.99939585,0.0000023678524,0.000004191548,0.000016518241,0.0003989965,0.000059755628,0.00006453015,0.000006588228,0.000036536316,9.111888e-7],"about_ca_topic_score_codex":0.032354042,"about_ca_topic_score_gemma":0.1412291,"teacher_disagreement_score":0.032354042,"about_ca_system_score_codex":0.00034084063,"about_ca_system_score_gemma":0.00025537697,"threshold_uncertainty_score":0.06433147},"labels":[],"label_agreement":null},{"id":"W2782100630","doi":"10.5194/bg-15-4515-2018","title":"A multi-method autonomous assessment of primary productivity and export efficiency in the springtime North Atlantic","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Division of Ocean Sciences; Natural Environment Research Council; Sight Research UK; National Aeronautics and Space Administration; National Science Foundation","keywords":"Diel vertical migration; Environmental science; Productivity; Primary production; Phytoplankton; Oceanography; Atmospheric sciences; Ecosystem; Ecology; Nutrient; Biology; Geology","score_opus":0.020206829639666114,"score_gpt":0.25130307206957353,"score_spread":0.23109624242990742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782100630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98978007,0.00006173928,0.008813076,0.000028724902,0.0000097840675,0.000022653036,0.0004885439,0.00014223391,0.000653165],"genre_scores_gemma":[0.9837891,0.000026345977,0.014970778,0.000022370887,0.000007779913,0.00003519119,0.00064380927,0.000026822367,0.00047793472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975175,0.000043210817,0.000012299599,0.00010163905,0.0000731044,0.000018017516],"domain_scores_gemma":[0.9993643,0.00016283372,0.0001270672,0.000110206856,0.00018819096,0.000047251116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007045533,0.00033156457,0.00028775772,0.0006218623,0.0003393775,0.00052729214,0.00043581167,0.00041105365,0.0005106201],"category_scores_gemma":[0.00095617,0.0002553787,0.0004106874,0.0003718589,0.00018882715,0.00043725062,0.000508156,0.000240422,0.00016948298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005497374,0.00028243475,0.77395666,0.00010566208,0.00036759494,0.00010758232,0.00024637513,0.04187564,0.09486416,0.00017035303,0.000575163,0.0868986],"study_design_scores_gemma":[0.000037653317,0.00018927184,0.6501433,0.000011412615,0.00007116462,0.00006126507,0.00010321611,0.34081575,0.007839218,0.00012829376,0.0005582176,0.00004117094],"about_ca_topic_score_codex":0.022353055,"about_ca_topic_score_gemma":0.04819498,"teacher_disagreement_score":0.022353055,"about_ca_system_score_codex":0.0007274672,"about_ca_system_score_gemma":0.0005941149,"threshold_uncertainty_score":0.044445872},"labels":[],"label_agreement":null},{"id":"W2784218839","doi":"10.5194/bg-15-4731-2018","title":"Evaluating and improving the Community Land Model's sensitivity to land cover","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Horizon 2020; European Commission; Bundesamt für Umwelt; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Albedo (alchemy); Environmental science; Land cover; Evapotranspiration; Land use; Deforestation (computer science); Grassland; Scale (ratio); Climatology; Climate model; Atmospheric sciences; Remote sensing; Climate change; Geography; Geology; Ecology; Computer science","score_opus":0.032533950076615956,"score_gpt":0.26935929151079213,"score_spread":0.23682534143417616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784218839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97887564,0.00026876788,0.012191216,0.00046198053,0.0000978239,0.00011955427,0.0022025688,0.0016153225,0.0041670445],"genre_scores_gemma":[0.98821485,0.000037714282,0.010011214,0.00009476741,0.000009881896,0.00004383863,0.0011785637,0.0001410792,0.00026808074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949884,0.00020542342,0.000033375945,0.000110891095,0.00008035901,0.000071120376],"domain_scores_gemma":[0.9977906,0.0011081347,0.00015469738,0.00027326672,0.0005142993,0.0001589612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027162163,0.0012237995,0.00067497935,0.0006652235,0.00051389035,0.00095746404,0.0017837835,0.0014231021,0.0015368396],"category_scores_gemma":[0.007156952,0.00050078746,0.00081914995,0.00056038296,0.00040947163,0.0009952859,0.0009233131,0.00092505873,0.00031330565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015273287,0.00010865276,0.016151687,0.000054444816,0.000141614,0.00004859391,0.000025568368,0.97537667,0.0012557803,0.00039741653,0.0006296348,0.005657331],"study_design_scores_gemma":[0.00004369247,0.000038875904,0.0017267825,0.0000069843577,0.000021268781,0.000006865087,0.000012805566,0.99713755,0.000577349,0.00014439053,0.00027301206,0.000010355776],"about_ca_topic_score_codex":0.0624235,"about_ca_topic_score_gemma":0.039544962,"teacher_disagreement_score":0.0624235,"about_ca_system_score_codex":0.0014200323,"about_ca_system_score_gemma":0.0014192868,"threshold_uncertainty_score":0.124120295},"labels":[],"label_agreement":null},{"id":"W2784983124","doi":"10.5194/bg-15-5271-2018","title":"Aluminium in the North Atlantic Ocean and the Labrador Sea (GEOTRACES GA01 section): roles of continental inputs and biogenic particle removal","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Eusko Jaurlaritza; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Geotraces; Oceanography; Water column; Geology; Photic zone; Biogenic silica; Continental shelf; Surface water; Phytoplankton; North Atlantic Deep Water; Particulates; Diatom; Seawater; Thermohaline circulation; Environmental science; Chemistry; Nutrient","score_opus":0.008840721245494274,"score_gpt":0.19549816676272494,"score_spread":0.18665744551723068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784983124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999012,0.00026742567,0.00001996774,0.000018914958,0.000002228951,0.0000014322251,0.00020537525,0.0000043778928,0.00046821532],"genre_scores_gemma":[0.9988023,0.00017836846,0.00012886713,0.000025636418,0.0000032133212,0.0000035719218,0.00041582278,0.000003296061,0.0004388788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988985,0.000011631838,0.000010723142,0.000036338115,0.000021035317,0.000030520398],"domain_scores_gemma":[0.9998332,0.000012344541,0.00007733976,0.0000065241147,0.00004635567,0.000024159528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016695258,0.00036210526,0.00024580455,0.00087896694,0.0003390179,0.00063039036,0.00029506654,0.0002862795,0.0006036763],"category_scores_gemma":[0.00019486663,0.00018360837,0.00031227505,0.00095608254,0.00021601058,0.00025731858,0.00043088576,0.00016715424,0.00019779644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019792968,0.000019509582,0.9734701,0.00005665958,0.00013538614,0.00016888701,0.0002279852,0.00029709816,0.015055917,0.0000462465,0.00010170558,0.010222646],"study_design_scores_gemma":[0.000003202447,0.000022191136,0.99911433,0.000004832379,0.000015177121,0.000019449248,0.000100799465,0.00013740295,0.00032306195,0.000005583713,0.00025236676,0.0000016213434],"about_ca_topic_score_codex":0.15923491,"about_ca_topic_score_gemma":0.26104864,"teacher_disagreement_score":0.8407651,"about_ca_system_score_codex":0.0013044396,"about_ca_system_score_gemma":0.00067805545,"threshold_uncertainty_score":0.31661612},"labels":[],"label_agreement":null},{"id":"W2785370765","doi":"10.5194/bg-15-5503-2018","title":"First in situ estimations of small phytoplankton carbon and nitrogen uptake rates in the Kara, Laptev, and East Siberian seas","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Phytoplankton; Oceanography; Arctic; Environmental science; Nitrate; Ammonium; Canada Basin; Nitrogen; Hydrography; Nutrient; Environmental chemistry; Chemistry; Ecology; Geology; Biology","score_opus":0.017789010105529267,"score_gpt":0.2174006238489578,"score_spread":0.19961161374342853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785370765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99762505,0.00036251382,0.00066277094,0.00001209392,0.000011318124,0.000009530789,0.00033319526,0.000013255493,0.00097022136],"genre_scores_gemma":[0.99690396,0.00024008671,0.0015691913,0.000026130538,0.000007948582,0.000027359405,0.0005924184,0.0000061878354,0.00062680675],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998944,0.000011092192,0.00000832973,0.00004307707,0.000025176334,0.000017986213],"domain_scores_gemma":[0.9998313,0.000027927734,0.00003340549,0.00001493594,0.00006523222,0.000027210448],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027122753,0.0006845268,0.0003636204,0.0007081706,0.00069222826,0.0004936021,0.0003471073,0.00038066888,0.00070217205],"category_scores_gemma":[0.00023731445,0.00030380613,0.00034642217,0.00047030635,0.00019703447,0.0004970974,0.0004779229,0.00030583752,0.00020374727],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037906136,0.00008513894,0.4606064,0.00016907859,0.00019165949,0.0002861713,0.0005302234,0.0008327349,0.52073103,0.00007547361,0.00018191102,0.015931165],"study_design_scores_gemma":[0.00001409278,0.00013250214,0.9590726,0.0000134674965,0.000098236495,0.00012734128,0.0003729318,0.0033062259,0.03587722,0.00004373163,0.000928325,0.000013260385],"about_ca_topic_score_codex":0.021748714,"about_ca_topic_score_gemma":0.04051431,"teacher_disagreement_score":0.021748714,"about_ca_system_score_codex":0.000642804,"about_ca_system_score_gemma":0.00047937466,"threshold_uncertainty_score":0.043244243},"labels":[],"label_agreement":null},{"id":"W2785916520","doi":"10.5194/bg-15-3421-2018","title":"Asymmetric responses of primary productivity to altered precipitation simulated by ecosystem models across three long-term grassland sites","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Oak Ridge National Laboratory; Biological and Environmental Research; Vlaamse regering; Office of Science; Austrian Science Fund; Technische Universität Wien; Österreichischen Akademie der Wissenschaften; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Primary production; Environmental science; Precipitation; Ecosystem; Grassland; Steppe; Atmospheric sciences; Productivity; Temperate climate; Carbon cycle; Ecology; Biology; Geography; Geology; Meteorology","score_opus":0.025597428032143404,"score_gpt":0.26590548478562936,"score_spread":0.24030805675348596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2785916520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947053,0.000010706009,0.00025510398,0.000014762053,0.0000029501196,0.0000041240482,0.00009989729,0.000020154524,0.0001216647],"genre_scores_gemma":[0.99950206,0.0000071647755,0.00029137344,0.0000073966453,0.0000014026564,0.000008587716,0.00014486315,0.0000045389284,0.000032608154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976426,0.00010640738,0.000017554095,0.0000539677,0.000018280181,0.000039638144],"domain_scores_gemma":[0.999288,0.0003471835,0.00008608979,0.00007984953,0.0001065318,0.00009233338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093591935,0.00063547614,0.00043401818,0.00030748616,0.00039659522,0.0006092263,0.0007600865,0.0008082345,0.0004868119],"category_scores_gemma":[0.001203306,0.0003238024,0.0009068569,0.0003016269,0.00042422288,0.0003550544,0.00034036784,0.00059738173,0.00006854741],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003401433,0.00022126816,0.09782677,0.000025967107,0.00034224955,0.00013363746,0.00006263228,0.89396,0.004974723,0.00016635495,0.00019568623,0.0017505296],"study_design_scores_gemma":[0.00009965062,0.00021382219,0.044330187,0.0000051857232,0.0000920517,0.000028594251,0.00006750052,0.95336735,0.0015314299,0.00014356764,0.00009930264,0.000021415244],"about_ca_topic_score_codex":0.02507428,"about_ca_topic_score_gemma":0.020336855,"teacher_disagreement_score":0.02507428,"about_ca_system_score_codex":0.0011759883,"about_ca_system_score_gemma":0.00054544787,"threshold_uncertainty_score":0.049856663},"labels":[],"label_agreement":null},{"id":"W2786412686","doi":"10.5194/bg-15-4995-2018","title":"Dissolved Pb and Pb isotopes in the North Atlantic from the GEOVIDE transect (GEOTRACES GA-01) and their decadal evolution","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Heavy metals in environment","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; National Science Foundation","keywords":"Geotraces; Oceanography; Transect; Seawater; Environmental science; Scavenging; Water mass; Geology; Chemistry","score_opus":0.013623369034546043,"score_gpt":0.21661102121517326,"score_spread":0.2029876521806272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786412686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98444253,0.00023710188,0.00014260037,0.00008427403,0.00002395752,0.000008041181,0.012749172,0.000022964654,0.0022893054],"genre_scores_gemma":[0.97230184,0.00025164016,0.00080168014,0.00006107763,0.000016958154,0.000022199383,0.02381014,0.000026102744,0.0027084434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999219,0.000005963131,0.00000593883,0.000027482563,0.000023826244,0.000014872548],"domain_scores_gemma":[0.99969614,0.00001194003,0.00008553691,0.00001883268,0.00014321403,0.000044264718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015541539,0.00021419204,0.00013301935,0.00087546516,0.00029156095,0.0004646741,0.00019815395,0.00022014744,0.00082863955],"category_scores_gemma":[0.0003147826,0.00015180458,0.00023425106,0.0009266505,0.00012578914,0.00017122997,0.0004298798,0.00031739258,0.0003312723],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012339906,0.000021208922,0.9838177,0.00003063314,0.000119977296,0.00010502347,0.00044680014,0.00017446226,0.00541247,0.00007253724,0.0024845474,0.00719118],"study_design_scores_gemma":[0.0000015306116,0.00000569602,0.99826765,0.000004051262,0.0000066480084,0.00002430442,0.00007793875,0.000069454625,0.000115639705,0.000004943599,0.001420125,0.0000019311099],"about_ca_topic_score_codex":0.21521139,"about_ca_topic_score_gemma":0.57953787,"teacher_disagreement_score":0.21521139,"about_ca_system_score_codex":0.000833977,"about_ca_system_score_gemma":0.00056366995,"threshold_uncertainty_score":0.42791742},"labels":[],"label_agreement":null},{"id":"W2786573877","doi":"10.5194/bg-15-2931-2018","title":"Distinctive effects of allochthonous and autochthonous organic matter on CDOM spectra in a tropical lake","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Fundação de Amparo à Pesquisa do Estado de Minas Gerais; Ciência sem Fronteiras; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Colored dissolved organic matter; Environmental science; Tropics; Oceanography; Organic matter; Geology; Climatology; Ecology; Biology; Nutrient; Phytoplankton","score_opus":0.0056467485394165835,"score_gpt":0.19069324775024793,"score_spread":0.18504649921083136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786573877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99966586,0.000048527232,0.00006354874,0.000005581896,7.7490995e-7,0.0000039233782,0.00006788328,0.000003945362,0.0001398621],"genre_scores_gemma":[0.9990445,0.00005876664,0.0005518954,0.000018411924,0.0000016811211,0.000009990265,0.00012302713,0.00000496164,0.0001866836],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999002,0.000011608155,0.0000074920586,0.00003415056,0.000024697838,0.000021846146],"domain_scores_gemma":[0.9998368,0.000027943286,0.00004062747,0.0000081589305,0.00004048838,0.000045897377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018641479,0.00028915645,0.00027376084,0.0003362327,0.0004868321,0.00038858605,0.0001368384,0.00014939927,0.0005805605],"category_scores_gemma":[0.00017860034,0.00016807739,0.00023185789,0.00033711622,0.000295943,0.00024861973,0.00046795412,0.00018090266,0.000059075945],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056728633,0.000038951348,0.07605342,0.0001145877,0.000042782623,0.00009534517,0.00046640163,0.00012539461,0.9189584,0.000028172128,0.00002814546,0.0034811995],"study_design_scores_gemma":[0.000016091137,0.00036318158,0.93494874,0.000008256587,0.000076822034,0.00008032535,0.00043685487,0.0009900546,0.06253854,0.000029088253,0.0004985434,0.000013411505],"about_ca_topic_score_codex":0.018426634,"about_ca_topic_score_gemma":0.029754097,"teacher_disagreement_score":0.018426634,"about_ca_system_score_codex":0.00046238425,"about_ca_system_score_gemma":0.0004986404,"threshold_uncertainty_score":0.036638737},"labels":[],"label_agreement":null},{"id":"W2786622731","doi":"10.5194/bg-15-3909-2018","title":"Microbial community structure in the western tropical South Pacific","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"Division of Ocean Sciences; Centre National d’Etudes Spatiales; Natural Environment Research Council; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; National Science Foundation","keywords":"Prochlorococcus; Phytoplankton; Transect; Biogeochemical cycle; Community structure; Biomass (ecology); Environmental science; Ecology; Microbial population biology; Abiotic component; Oceanography; Chlorophyll a; Plankton; Bacterioplankton; Synechococcus; Biogeochemistry; Biology; Nutrient; Cyanobacteria; Geology; Botany","score_opus":0.0199359501799168,"score_gpt":0.24217641435396103,"score_spread":0.22224046417404422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786622731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932444,0.000091601665,0.000061558545,0.0000068063327,9.1991757e-7,0.000004383682,0.00023051069,0.0000014691635,0.00027829967],"genre_scores_gemma":[0.9989262,0.00016262392,0.00024271183,0.000016544524,0.0000025347279,0.0000113188335,0.00046007617,0.0000013350239,0.0001766546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990904,0.000007928459,0.000008489544,0.000034955458,0.000023484954,0.000016165175],"domain_scores_gemma":[0.99977297,0.000018460702,0.000079828955,0.0000069363305,0.000073389,0.00004838538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014359644,0.00025106373,0.00014920566,0.0009820655,0.0004240735,0.00047183238,0.00014063518,0.00015623496,0.0005712291],"category_scores_gemma":[0.00027860067,0.00014809596,0.00017770735,0.00096677546,0.00026079765,0.0003207539,0.00048580318,0.00014872101,0.00006623437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068740745,0.000018652067,0.96013045,0.000072621384,0.00007467076,0.00013996057,0.0011647097,0.00024130629,0.031020317,0.000038480604,0.00008513441,0.0069448873],"study_design_scores_gemma":[9.572607e-7,0.000014003039,0.99899536,0.000005243488,0.000009645088,0.00003311137,0.0004243592,0.00018558788,0.00020590094,0.000008900423,0.00011511113,0.0000017885623],"about_ca_topic_score_codex":0.057121925,"about_ca_topic_score_gemma":0.09195489,"teacher_disagreement_score":0.057121925,"about_ca_system_score_codex":0.00035844775,"about_ca_system_score_gemma":0.00045504948,"threshold_uncertainty_score":0.113578916},"labels":[],"label_agreement":null},{"id":"W2786655929","doi":"10.5194/bg-15-529-2018","title":"Spatial variations in snowpack chemistry, isotopic composition of NO <sub>3</sub> <sup>−</sup> and nitrogen deposition from the ice sheet margin to the coast of western Greenland","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Environment Research Council; Loughborough University; Sight Research UK","keywords":"Snowpack; Snow; Deposition (geology); Oceanography; Arctic; Greenland ice sheet; Precipitation; Stable isotope ratio; Environmental science; Atmospheric sciences; Geology; Ice sheet; Sediment; Geomorphology; Geography","score_opus":0.012831266014096272,"score_gpt":0.22301115326789295,"score_spread":0.2101798872537967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786655929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996183,0.00003672819,0.000020363534,0.000008106221,7.5023667e-7,0.0000010751289,0.0001285219,0.0000017200955,0.0001845034],"genre_scores_gemma":[0.9993825,0.000039938768,0.00005924324,0.000012162121,0.000001318289,0.0000022252696,0.0002866348,0.0000010689085,0.00021495302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999528,0.0000070188944,0.0000035315643,0.000015048182,0.0000091966995,0.000012393251],"domain_scores_gemma":[0.999818,0.000018630513,0.00007205354,0.00000965583,0.00003920697,0.0000424356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015266989,0.0001570108,0.00016251125,0.0004951431,0.00028226865,0.00043737068,0.00012689279,0.00010065937,0.00047435297],"category_scores_gemma":[0.00016429806,0.00009251636,0.00013067207,0.00056375295,0.0002634148,0.00021787864,0.00028231277,0.00008869221,0.00007592148],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008048228,0.000013013297,0.9908785,0.000014429676,0.000045687048,0.00007308843,0.0004003211,0.00013950057,0.0055890577,0.00003114326,0.00010218789,0.0026326547],"study_design_scores_gemma":[4.6714453e-7,0.0000041066064,0.99969935,0.0000010888755,0.0000022588974,0.000006603182,0.00009912934,0.000057377623,0.000062084866,0.000004165028,0.00006293069,3.9512196e-7],"about_ca_topic_score_codex":0.08719252,"about_ca_topic_score_gemma":0.23898865,"teacher_disagreement_score":0.08719252,"about_ca_system_score_codex":0.0008353585,"about_ca_system_score_gemma":0.0004331405,"threshold_uncertainty_score":0.17337006},"labels":[],"label_agreement":null},{"id":"W2786991736","doi":"10.5194/bg-15-885-2018","title":"Differential response of carbon cycling to long-term nutrient input and altered hydrological conditions in a continental Canadian peatland","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph","funders":"Westfälische Wilhelms-Universität Münster; Deutsche Forschungsgemeinschaft","keywords":"Peat; Environmental science; Carbon cycle; Cycling; Carbon sink; Sink (geography); Water table; Nutrient; Shrub; Moss; Dissolved organic carbon; Hydrology (agriculture); Eutrophication; Ecology; Ecosystem; Geology; Groundwater; Biology","score_opus":0.012228419674519247,"score_gpt":0.24769530785798882,"score_spread":0.23546688818346959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2786991736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993656,0.00005073742,0.00005963211,0.000010183625,9.969124e-7,0.00000603487,0.00022239679,0.0000051997595,0.00027922515],"genre_scores_gemma":[0.9991291,0.0000519315,0.00022364757,0.00001113015,6.274591e-7,0.0000052045702,0.00025638583,0.000002324988,0.00031967397],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981195,0.00000899623,0.000005637626,0.000054963773,0.00004557526,0.00007298696],"domain_scores_gemma":[0.99967647,0.000019510308,0.000038597413,0.000016037922,0.00015921306,0.00009016606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020789559,0.000318005,0.00024274357,0.0008557776,0.0015729774,0.00068961445,0.00051478215,0.00020358899,0.00049486285],"category_scores_gemma":[0.00028702398,0.00016522796,0.00021864111,0.00092794315,0.0006624098,0.0002014852,0.0003678672,0.00020758322,0.000050217273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032129383,0.00012058853,0.90282124,0.000058128357,0.00012801729,0.0003158067,0.0011952266,0.0016075389,0.079307854,0.00014954951,0.0003672142,0.013607462],"study_design_scores_gemma":[0.0000017003082,0.000013600021,0.9979692,0.0000021340009,0.000009773174,0.000022336075,0.00027644614,0.0004722234,0.00090439385,0.0000073554847,0.0003148641,0.0000059282606],"about_ca_topic_score_codex":0.9642104,"about_ca_topic_score_gemma":0.98943883,"teacher_disagreement_score":0.03578961,"about_ca_system_score_codex":0.010633266,"about_ca_system_score_gemma":0.0067964853,"threshold_uncertainty_score":0.07715005},"labels":[],"label_agreement":null},{"id":"W2787037899","doi":"10.5194/bg-15-4883-2018","title":"Experimental assessment of the sensitivity of an estuarine phytoplankton fall bloom to acidification and warming","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université du Québec à Rimouski; Fisheries and Oceans Canada; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Bloom; Diatom; Phytoplankton; Mesocosm; Environmental science; Oceanography; Effects of global warming on oceans; Estuary; Chlorophyll a; Ocean acidification; Spring bloom; Algal bloom; Plankton; Global warming; Ecosystem; Climate change; Ecology; Biology; Nutrient; Botany; Geology","score_opus":0.017294334727310057,"score_gpt":0.2749020404588042,"score_spread":0.2576077057314941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787037899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994734,0.000037391776,0.00012832193,0.000011065012,0.0000038131861,0.000019050829,0.00012637116,0.000005271534,0.00019523884],"genre_scores_gemma":[0.99706656,0.0000955214,0.00075055123,0.000089463945,0.000006385665,0.00012018661,0.0005195524,0.0000070936035,0.0013446361],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982613,0.000026006312,0.000014206713,0.000046828016,0.00004247056,0.000044414293],"domain_scores_gemma":[0.999526,0.000112138616,0.00010112664,0.00005239846,0.00010843337,0.00009982245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021536053,0.00037987097,0.00035155605,0.000108241584,0.00044689284,0.00030952413,0.0002756121,0.00031783286,0.000972859],"category_scores_gemma":[0.000319032,0.00027231398,0.00027206301,0.00016479511,0.00035054534,0.0001589983,0.00036685963,0.00070578547,0.000087857006],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0050568986,0.00045799563,0.030121464,0.00007648526,0.00006734414,0.00007287578,0.00018163526,0.0006995087,0.96062845,0.000028849012,0.00007444208,0.002534086],"study_design_scores_gemma":[0.00027190507,0.011820774,0.421263,0.000014133471,0.00016571178,0.000106163716,0.00031526232,0.0028900772,0.56073993,0.00006050307,0.0023128449,0.0000397039],"about_ca_topic_score_codex":0.046352904,"about_ca_topic_score_gemma":0.09069124,"teacher_disagreement_score":0.046352904,"about_ca_system_score_codex":0.0016628229,"about_ca_system_score_gemma":0.0007980278,"threshold_uncertainty_score":0.092166185},"labels":[],"label_agreement":null},{"id":"W2788840251","doi":"10.5194/bg-15-4367-2018","title":"Improving the strength of sandy soils via ureolytic CaCO <sub>3</sub> solidification by <i>Sporosarcina ureae</i>","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Applications in Construction Materials","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Universities Space Research Association; University of Ottawa","keywords":"Urea; Chemistry; Calcium carbonate; Carbonate; Environmental chemistry; Hydrolysis; Precipitation; Nuclear chemistry; Animal science; Biochemistry; Biology; Organic chemistry","score_opus":0.007903403061290979,"score_gpt":0.2134812339071086,"score_spread":0.20557783084581763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788840251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968292,0.0007162843,0.0015484024,0.00004060458,0.000014847461,0.00002848488,0.000113674374,0.00004748814,0.0006609021],"genre_scores_gemma":[0.9958132,0.00038339267,0.0029897022,0.000030588555,0.0000046701557,0.000017041062,0.00013746164,0.000015579006,0.00060838094],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99990237,0.000016652437,0.00000842784,0.00001832189,0.00003147856,0.000022724875],"domain_scores_gemma":[0.9999039,0.0000123344935,0.000032317184,0.000007424685,0.0000165118,0.000027427399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017432512,0.00054036325,0.00034156945,0.00017569496,0.000115206036,0.00034652257,0.00024402683,0.00023171911,0.0005410606],"category_scores_gemma":[0.00018109319,0.00016560793,0.00034363416,0.00014557163,0.00015065745,0.0002012719,0.0002769246,0.00044516538,0.00016298845],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002173909,0.000015321772,0.00016733503,0.000034102322,0.0000044308995,0.000021344616,0.000006225004,0.00005363713,0.99854505,0.000011707011,0.000008619926,0.0011105185],"study_design_scores_gemma":[0.0000054282004,0.0003249383,0.004634289,0.000010789162,0.000017262932,0.00005486797,0.000030047768,0.0005960484,0.993383,0.000013601824,0.00092469476,0.000005073797],"about_ca_topic_score_codex":0.0007537208,"about_ca_topic_score_gemma":0.0016610578,"teacher_disagreement_score":0.0007537208,"about_ca_system_score_codex":0.00015889964,"about_ca_system_score_gemma":0.00020586289,"threshold_uncertainty_score":0.0018100142},"labels":[],"label_agreement":null},{"id":"W2791840410","doi":"10.5194/bg-16-1343-2019","title":"Plant responses to volcanically elevated CO <sub>2</sub> in two Costa Rican forests","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Universidad Nacional de Costa Rica; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Volcano; Ecosystem; Environmental science; Photosynthesis; Biomass (ecology); Environmental chemistry; Atmospheric sciences; Ecology; Chemistry; Geology; Oceanography; Botany; Geochemistry; Biology","score_opus":0.01841556809171251,"score_gpt":0.24883452972664313,"score_spread":0.2304189616349306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791840410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99950135,0.000044178418,0.000042248146,0.000012809021,4.032465e-7,0.0000038926737,0.00004844208,0.0000028913773,0.0003438719],"genre_scores_gemma":[0.99959487,0.000033335793,0.00011645814,0.000014186328,6.337766e-7,0.0000060524926,0.00009451696,0.0000017679474,0.00013821927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998957,0.000038554695,0.0000046238706,0.000026495401,0.000010949656,0.000023628103],"domain_scores_gemma":[0.9998179,0.000041361593,0.000044647244,0.000023055292,0.000047822272,0.000025175055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024835463,0.00022744355,0.00018393183,0.00037154532,0.00047904393,0.00029110018,0.00027309917,0.00018605786,0.00034252132],"category_scores_gemma":[0.0002412236,0.000092577,0.00015356884,0.0003267624,0.0003490143,0.00015256235,0.0002831314,0.00015919551,0.000051066298],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001002553,0.0003274134,0.7310144,0.00018453495,0.00020160982,0.0005626275,0.005311478,0.0021827228,0.2318696,0.0004038132,0.0002585792,0.026680637],"study_design_scores_gemma":[0.000004958223,0.000037021284,0.99607396,0.0000036877532,0.000014061802,0.00003968313,0.0005595266,0.001082598,0.0017642877,0.000024080491,0.00039282892,0.0000033925837],"about_ca_topic_score_codex":0.06256208,"about_ca_topic_score_gemma":0.14129019,"teacher_disagreement_score":0.06256208,"about_ca_system_score_codex":0.001251281,"about_ca_system_score_gemma":0.00024153313,"threshold_uncertainty_score":0},"labels":[],"label_agreement":null},{"id":"W2792961765","doi":"10.5194/bg-15-7273-2018","title":"Meso-zooplankton structure and functioning in the western tropical South Pacific along the 20th parallel south during the OUTPACE survey (February–April 2015)","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tula Foundation; University of British Columbia; Fisheries and Oceans Canada","funders":"Centre National d’Etudes Spatiales; Instituto Milenio de Oceanografía; Agence Nationale de la Recherche; Comisión Nacional de Investigación Científica y Tecnológica; Centre National de la Recherche Scientifique; European Commission","keywords":"Zooplankton; Food web; Oceanography; Trophic level; Plankton; Environmental science; Ocean gyre; Microbial food web; Biomass (ecology); Ecology; Subtropics; Biology; Geology","score_opus":0.013766233591318584,"score_gpt":0.22997807923714417,"score_spread":0.21621184564582557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792961765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990238,0.000039917424,0.000031311327,0.0000072712296,0.0000015787797,0.000006886888,0.0005379925,0.0000022172273,0.0003490535],"genre_scores_gemma":[0.9976907,0.00010448699,0.00021041393,0.000020252017,0.000004292759,0.000029326087,0.0011509403,0.0000022102308,0.0007874992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999491,0.000003255736,0.0000043476493,0.000018926237,0.000012779562,0.000011622392],"domain_scores_gemma":[0.9998104,0.000006251818,0.00006493585,0.00000853794,0.000054136228,0.0000557397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010280907,0.00027929293,0.00015567077,0.0005589011,0.0005968061,0.0003035158,0.00020633904,0.0001662089,0.0006434838],"category_scores_gemma":[0.0001795915,0.00015805115,0.00020069814,0.0006294112,0.00018413749,0.00020109542,0.0005393354,0.00016702073,0.00010348332],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006601357,0.000028134567,0.9872666,0.000033963184,0.000045639827,0.00019148935,0.0011182367,0.00010263186,0.007360997,0.000019920071,0.00025202462,0.0035144156],"study_design_scores_gemma":[4.4575378e-7,0.0000070283686,0.99955946,0.0000018229654,0.0000036310328,0.000015054734,0.00020768511,0.000029788964,0.000068081514,0.0000013924647,0.000104810366,7.169961e-7],"about_ca_topic_score_codex":0.07949739,"about_ca_topic_score_gemma":0.25524837,"teacher_disagreement_score":0.07949739,"about_ca_system_score_codex":0.00046000304,"about_ca_system_score_gemma":0.0005023238,"threshold_uncertainty_score":0.15806931},"labels":[],"label_agreement":null},{"id":"W2793209955","doi":"10.5194/bg-15-1483-2018","title":"Increasing coastal slump activity impacts the release of sediment and organic carbon into the Arctic Ocean","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Helmholtz-Gemeinschaft","keywords":"Slumping; Thermokarst; Arctic; Environmental science; Permafrost; Total organic carbon; Dissolved organic carbon; Landform; Sediment; Soil carbon; Geology; Hydrology (agriculture); Oceanography; Physical geography; Geomorphology; Soil science; Geography; Soil water; Environmental chemistry","score_opus":0.021572993613718172,"score_gpt":0.23535051343245791,"score_spread":0.21377751981873974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793209955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911064,0.000045278986,0.00004962023,0.000034049215,0.000003109376,0.0000013203069,0.00021003767,0.00000670708,0.0005392884],"genre_scores_gemma":[0.9995161,0.00006324685,0.00006107075,0.000012776026,0.000002049235,0.0000014432435,0.00016509749,0.0000029090495,0.0001752232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989307,0.000009890314,0.000008343927,0.000028793042,0.000018394729,0.00004148919],"domain_scores_gemma":[0.9995772,0.00003760527,0.00013098681,0.000026673479,0.00014410459,0.00008350759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016670396,0.00018148107,0.000115856565,0.0004914576,0.00052880665,0.00062228774,0.00019622811,0.00022323175,0.0015112564],"category_scores_gemma":[0.00076084206,0.00012930985,0.00027856693,0.0005964936,0.0003810619,0.00040371277,0.0006766633,0.00019709574,0.00015930271],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065057335,0.000014957508,0.98726267,0.00002874298,0.000044632943,0.00017037329,0.00025473724,0.0011337618,0.004421897,0.00007072704,0.0003909304,0.0061415858],"study_design_scores_gemma":[0.0000015189188,0.000012069437,0.99786204,0.0000076745455,0.000009526837,0.000021987238,0.0006212518,0.00084861665,0.00021433595,0.000016135127,0.00038110328,0.0000036168208],"about_ca_topic_score_codex":0.26722813,"about_ca_topic_score_gemma":0.46654978,"teacher_disagreement_score":0.26722813,"about_ca_system_score_codex":0.0019225789,"about_ca_system_score_gemma":0.0012462931,"threshold_uncertainty_score":0.53134537},"labels":[],"label_agreement":null},{"id":"W2794663980","doi":"10.5194/bg-15-5189-2018","title":"Environmental and taxonomic controls of carbon and oxygen stable isotope composition in <i>Sphagnum</i> across broad climatic and geographic ranges","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; McMaster University; Center for Northern Studies; McGill University; University of Calgary; Carleton University; St. Mary's University; Wilfrid Laurier University","funders":"Natural Sciences and Engineering Research Council of Canada; Provincia autonoma di Bolzano - Alto Adige; Università degli Studi di Ferrara; Russian Science Foundation; Nature Conservancy; Wildlife Conservation Society; Russian Foundation for Basic Research; W. Garfield Weston Foundation; Narodowym Centrum Nauki; Vetenskapsrådet; National Science Foundation","keywords":"Sphagnum; Peat; δ13C; Isotopes of oxygen; δ18O; Environmental science; Isotopes of carbon; Productivity; Environmental chemistry; Stable isotope ratio; Ecology; Total organic carbon; Chemistry; Biology","score_opus":0.007308825291347285,"score_gpt":0.21363555545601742,"score_spread":0.20632673016467012,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794663980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997627,0.000034502857,0.000031682353,0.0000031123786,4.4300478e-7,0.0000012402108,0.000043411037,0.0000013152411,0.000121559686],"genre_scores_gemma":[0.9997285,0.00001745155,0.00006852559,0.0000065810314,6.341504e-7,0.0000018633206,0.00011218914,0.0000016025281,0.00006270744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985087,0.00003249354,0.000009906312,0.000067326255,0.000018637524,0.000020840693],"domain_scores_gemma":[0.9995747,0.00008543863,0.00016967616,0.00002477173,0.000070517104,0.00007483541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002384826,0.0001561742,0.00017338719,0.0005366535,0.00029744077,0.00032181523,0.00018190328,0.00017379534,0.0006393337],"category_scores_gemma":[0.00034110376,0.00012465288,0.000111680994,0.00040198385,0.00041022996,0.00018652805,0.00030858716,0.000141973,0.00011486665],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028595803,0.00004543205,0.7881469,0.000039029754,0.00010634679,0.0001211846,0.0010068963,0.00011748034,0.20406957,0.00006545941,0.00006424549,0.005931407],"study_design_scores_gemma":[0.0000010156122,0.000018083098,0.99923,0.0000014000485,0.000004468962,0.000026692454,0.00012938853,0.00004537267,0.0004686372,0.0000062241734,0.00006795406,8.983823e-7],"about_ca_topic_score_codex":0.008989786,"about_ca_topic_score_gemma":0.020620136,"teacher_disagreement_score":0.008989786,"about_ca_system_score_codex":0.00025219418,"about_ca_system_score_gemma":0.00014989727,"threshold_uncertainty_score":0.017874897},"labels":[],"label_agreement":null},{"id":"W2796246020","doi":"10.5194/bg-17-917-2020","title":"Dissolved iron in the North Atlantic Ocean and Labrador Sea along the GEOVIDE section (GEOTRACES section GA01)","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Université de Bretagne Occidentale; Centre National de la Recherche Scientifique; University of Tasmania; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Geotraces; Oceanography; Geology; Nepheloid layer; Phytoplankton; Ocean gyre; Sink (geography); Water mass; Water column; Environmental science; Seawater; Nutrient; Chemistry","score_opus":0.013586200050969749,"score_gpt":0.18888643746647352,"score_spread":0.17530023741550377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796246020","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667054,0.00023015101,0.0000511384,0.000023605566,0.0000073731317,0.000005373073,0.0015364068,0.000010593924,0.0014648394],"genre_scores_gemma":[0.99437076,0.00017795782,0.00037784528,0.00003382414,0.0000075794565,0.00000967805,0.0031636145,0.000007126463,0.0018517185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998965,0.0000050044187,0.0000087003455,0.000036150974,0.000027087244,0.000026573009],"domain_scores_gemma":[0.99984884,0.000008389444,0.000051291692,0.00000780376,0.000054456093,0.00002917628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001355867,0.00032145987,0.00020739982,0.0009579737,0.00050462806,0.0006096683,0.0002344099,0.00027716896,0.00073285634],"category_scores_gemma":[0.0001599223,0.00017289125,0.00027309972,0.00087739807,0.0001784633,0.00020242704,0.0003603658,0.00018977023,0.00024298692],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001504019,0.000026748095,0.9699506,0.000054579436,0.000100494326,0.00032007069,0.00042403993,0.00036213046,0.013960408,0.000056919063,0.0006458217,0.013947945],"study_design_scores_gemma":[0.0000020580208,0.000012152072,0.99867284,0.000006179773,0.0000073025058,0.000030371995,0.00012812427,0.00008767792,0.0002711,0.0000026530124,0.000777934,0.0000016836048],"about_ca_topic_score_codex":0.30675995,"about_ca_topic_score_gemma":0.59576356,"teacher_disagreement_score":0.69324005,"about_ca_system_score_codex":0.0014528069,"about_ca_system_score_gemma":0.0009933587,"threshold_uncertainty_score":0.6099488},"labels":[],"label_agreement":null},{"id":"W2796704696","doi":"10.5194/bg-16-2163-2019","title":"Latitudinal variations in <i>δ</i> <sup>30</sup> Si and <i>δ</i> <sup>15</sup> N signatures along the Peruvian shelf: quantifying the effects of nutrient utilization versus denitrification over the past 600 years","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Anoxic waters; Oceanography; Phytoplankton; Organic matter; Nitrate; Biogenic silica; Denitrification; Stable isotope ratio; Nutrient; Geology; Chemistry; Nitrogen; Environmental science; Diatom; Physics","score_opus":0.02808769543697941,"score_gpt":0.26131766334341255,"score_spread":0.23322996790643313,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2796704696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771523,0.00030743805,0.00017555791,0.000024280154,0.0000030472395,0.000003479695,0.000682128,0.00001950422,0.0010693646],"genre_scores_gemma":[0.99818295,0.00022787765,0.00028054437,0.000012739907,0.000005198462,0.000009203863,0.00090365845,0.0000046835735,0.00037306605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996316,0.0000051064803,0.0000030994472,0.00001453841,0.0000073049287,0.0000068185145],"domain_scores_gemma":[0.9997842,0.000022177104,0.00009087419,0.000017036367,0.00006273331,0.00002308646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001603454,0.00018861033,0.000107237436,0.00070586416,0.00022101837,0.00035665394,0.0001709885,0.00025503585,0.0009297348],"category_scores_gemma":[0.00025487226,0.00014211942,0.00021238394,0.0008249014,0.00017868193,0.00021780054,0.00036201914,0.00012493967,0.00020262902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009068136,0.000010349082,0.9607164,0.00008151362,0.0001285171,0.00015431762,0.0006729879,0.00031993806,0.026814293,0.000040216168,0.0001795748,0.010791239],"study_design_scores_gemma":[7.7091136e-7,0.000011888154,0.9985103,0.000004565645,0.000010424886,0.000045557226,0.000106971565,0.00010140284,0.00052422326,0.0000064514506,0.000675189,0.0000022017484],"about_ca_topic_score_codex":0.009877322,"about_ca_topic_score_gemma":0.026900232,"teacher_disagreement_score":0.009877322,"about_ca_system_score_codex":0.00017618282,"about_ca_system_score_gemma":0.0001381555,"threshold_uncertainty_score":0.01963967},"labels":[],"label_agreement":null},{"id":"W2799294794","doi":"10.5194/bg-15-6105-2018","title":"Impacts of anthropogenic inputs on hypoxia and oxygen dynamics in the Pearl River estuary","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Science and Technology Planning Project of Guangdong Province; Fundamental Research Funds for the Central Universities; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Hypoxia (environmental); Nutrient; Environmental science; Aeration; Estuary; Sink (geography); Biogeochemical cycle; Particulates; Total organic carbon; Water column; Oxygen; Limiting oxygen concentration; Environmental chemistry; Hydrology (agriculture); Oceanography; Ecology; Chemistry; Geology; Biology","score_opus":0.012158970194774053,"score_gpt":0.21933436904464898,"score_spread":0.20717539884987493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799294794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988531,0.000021479746,0.00045816117,0.00005344547,0.0000050715626,0.000005498004,0.00010185049,0.000027467642,0.00047386542],"genre_scores_gemma":[0.9995778,0.000021521833,0.00017623673,0.000010405164,0.0000016073922,0.000006702177,0.00010004855,0.0000033942345,0.00010222997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998253,0.00004975703,0.000016441709,0.000042955216,0.00003832745,0.000027220642],"domain_scores_gemma":[0.9997552,0.000060967977,0.000046022094,0.000022198468,0.000064394946,0.00005123839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030885352,0.0004127444,0.0002915632,0.00021494656,0.0003548336,0.0007244725,0.00044873715,0.00036413383,0.0005829467],"category_scores_gemma":[0.00045959168,0.00025156356,0.00046528957,0.00020837087,0.00034286483,0.00047924722,0.0007055525,0.00032156342,0.00005264208],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036352698,0.00041914405,0.6013159,0.000117196454,0.00032783436,0.0008991117,0.00027820104,0.33424076,0.04948377,0.0012096257,0.0009099244,0.010435007],"study_design_scores_gemma":[0.000059771744,0.00043566292,0.46372497,0.000011314621,0.00007553889,0.000072875555,0.00036853112,0.5285388,0.005223255,0.00045558042,0.0009930475,0.00004068525],"about_ca_topic_score_codex":0.027704937,"about_ca_topic_score_gemma":0.019950934,"teacher_disagreement_score":0.027704937,"about_ca_system_score_codex":0.0013428605,"about_ca_system_score_gemma":0.0008085311,"threshold_uncertainty_score":0.055087328},"labels":[],"label_agreement":null},{"id":"W2799303397","doi":"10.5194/bg-15-7299-2018","title":"Evolution of <sup>231</sup> Pa and <sup>230</sup> Th in overflow waters of the North Atlantic","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; Natural Environment Research Council; Centre National de la Recherche Scientifique; Sight Research UK","keywords":"Water column; Water mass; Oceanography; Geotraces; Seafloor spreading; Geology; Seawater","score_opus":0.014201387402292995,"score_gpt":0.21942304214488262,"score_spread":0.20522165474258963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2799303397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991186,0.000069239984,0.000033976954,0.00002422277,0.0000022746735,0.0000010655733,0.00033857263,0.000004951571,0.00040713386],"genre_scores_gemma":[0.99885106,0.000060396458,0.000079757854,0.000018186694,0.000003645274,0.0000028574505,0.0006282428,0.000003379839,0.00035246904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992824,0.0000065518275,0.000005326776,0.000022925968,0.000021815216,0.000015097131],"domain_scores_gemma":[0.9997609,0.000033630782,0.0000795431,0.00000995213,0.000073191506,0.000042812506],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012996711,0.0001970356,0.00018524306,0.00039128872,0.00033755953,0.00056580367,0.00014357385,0.00033577578,0.0011604577],"category_scores_gemma":[0.00038483817,0.00016872643,0.00022037825,0.0004635818,0.00023197089,0.00034398472,0.00039068618,0.00020939417,0.00025093544],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002669492,0.000011718834,0.96794623,0.000029541752,0.000050389754,0.00016490632,0.0002741338,0.00026606474,0.026627487,0.00004517382,0.0001652954,0.0041520456],"study_design_scores_gemma":[9.845894e-7,0.000011592248,0.999212,0.0000017209514,0.000005473409,0.00001710882,0.00012185755,0.0001931472,0.00028374643,0.000007659735,0.00014295151,0.0000017062858],"about_ca_topic_score_codex":0.029327782,"about_ca_topic_score_gemma":0.059863664,"teacher_disagreement_score":0.029327782,"about_ca_system_score_codex":0.0007376398,"about_ca_system_score_gemma":0.00037458434,"threshold_uncertainty_score":0.058314145},"labels":[],"label_agreement":null},{"id":"W2800163541","doi":"10.5194/bg-15-5287-2018","title":"Reviews and syntheses: Changing ecosystem influences on soil thermal regimes in northern high-latitude permafrost regions","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":249,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Saskatchewan","funders":"Division of Arctic Sciences; U.S. Army; Academy of Finland; Natural Environment Research Council; Sight Research UK","keywords":"Permafrost; Environmental science; Ecosystem; Terrestrial ecosystem; Climate change; Soil carbon; Soil water; Vegetation (pathology); Arctic; Boreal; Atmospheric sciences; Earth science; Ecology; Physical geography; Soil science; Geology; Geography","score_opus":0.04456048779889754,"score_gpt":0.25258608239704805,"score_spread":0.2080255945981505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800163541","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016544908,0.99387074,0.00028574964,0.0006937729,0.0015252287,0.000009633083,0.0007357989,0.00004381331,0.0026699507],"genre_scores_gemma":[0.001746083,0.99486023,0.0003981006,0.0005583172,0.0010354817,0.000029694393,0.0005552258,0.000023531453,0.00079335767],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99931896,0.00012321536,0.00014896879,0.0001795769,0.00018099036,0.000048356676],"domain_scores_gemma":[0.9949562,0.00339923,0.0007437077,0.00016625568,0.00059427205,0.00014047007],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010833136,0.0016303229,0.002136032,0.0058809128,0.00034206963,0.0020557393,0.00085067755,0.001579925,0.01713127],"category_scores_gemma":[0.006403126,0.0005118194,0.001133271,0.013725482,0.00062750105,0.0015147626,0.0010063085,0.0016151476,0.004711388],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014808094,0.000048249705,0.0004822512,0.2409349,0.0009928923,0.00016998674,0.00030170567,0.0022096669,0.0015963593,0.008078232,0.2182463,0.5267914],"study_design_scores_gemma":[0.000020822072,0.000031246276,0.0029137596,0.045655057,0.00058701873,0.00019529184,0.00009122339,0.00014756114,0.00028137615,0.002747691,0.9472915,0.000037511414],"about_ca_topic_score_codex":0.0049746404,"about_ca_topic_score_gemma":0.0069581727,"teacher_disagreement_score":0.01713127,"about_ca_system_score_codex":0.0016170039,"about_ca_system_score_gemma":0.003071732,"threshold_uncertainty_score":0.057309806},"labels":[],"label_agreement":null},{"id":"W2800332821","doi":"10.5194/bg-15-5991-2018","title":"Salinity control on Na incorporation into calcite tests of the planktonic foraminifera <i>Trilobatus sacculifer</i> – evidence from culture experiments and surface sediments","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Netherlands Earth System Science Centre; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel","keywords":"Foraminifera; Salinity; Seawater; Calcite; Plankton; Benthic zone; Oceanography; Geology; Ostracod; Temperature salinity diagrams; Mineralogy","score_opus":0.03500943836646426,"score_gpt":0.2930710724154972,"score_spread":0.25806163404903293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800332821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99925166,0.00015076034,0.00011610305,0.000014190495,0.000002343555,0.0000035537696,0.00008163115,0.0000053418607,0.00037435247],"genre_scores_gemma":[0.99899715,0.00007621452,0.0002594935,0.00001833826,0.0000014681614,0.0000072489424,0.00021998913,0.000005488581,0.00041471867],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997155,0.000050582094,0.00003989158,0.000085849686,0.00007391571,0.000034285145],"domain_scores_gemma":[0.999401,0.00010260576,0.00019445542,0.00007946609,0.00013945828,0.00008295214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002204249,0.0003000328,0.0002311075,0.00026124512,0.00033308438,0.0005165962,0.00029550458,0.00024982038,0.0007393436],"category_scores_gemma":[0.0005187513,0.00018679236,0.00021287841,0.0001918214,0.00052554405,0.0002818443,0.00046888198,0.0002896542,0.00023131075],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026099922,0.00001555671,0.013031637,0.000029616056,0.000017356733,0.00005339733,0.00011664417,0.000047581925,0.98482865,0.00001627148,0.000019051702,0.001563194],"study_design_scores_gemma":[0.000012555597,0.00084630516,0.28749934,0.000013345369,0.000055024164,0.00022213304,0.0005346564,0.000616269,0.7090759,0.00003994829,0.0010667592,0.000017664841],"about_ca_topic_score_codex":0.0075456942,"about_ca_topic_score_gemma":0.009165217,"teacher_disagreement_score":0.0075456942,"about_ca_system_score_codex":0.00044212636,"about_ca_system_score_gemma":0.0003487126,"threshold_uncertainty_score":0.015003502},"labels":[],"label_agreement":null},{"id":"W2801095785","doi":"10.5194/bg-15-5377-2018","title":"Integrated management of a Swiss cropland is not sufficient to preserve its soil carbon pool in the long term","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Agroscope; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Environmental science; Agronomy; Soil carbon; Eddy covariance; Sink (geography); Crop rotation; Cover crop; Carbon sink; Growing season; Ecosystem; Agroforestry; Crop; Soil water; Soil science; Ecology; Geography; Biology","score_opus":0.02763419091475614,"score_gpt":0.24735960946759314,"score_spread":0.219725418552837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801095785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936107,0.00045425186,0.0024890369,0.00008728834,0.000013281397,0.000042267566,0.00065356394,0.00010690079,0.0025427332],"genre_scores_gemma":[0.9946101,0.00028738027,0.0022267478,0.000030170995,0.000014289562,0.00006252595,0.0012484463,0.000016881773,0.0015034635],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99980253,0.000021563757,0.0000104660985,0.00007041334,0.00004306404,0.000052038613],"domain_scores_gemma":[0.99974746,0.000020180421,0.00007905212,0.00005981777,0.00003743322,0.000056150202],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021838464,0.00042502536,0.00021107719,0.00031854818,0.00034897568,0.000442115,0.0003132946,0.0001727871,0.0029226078],"category_scores_gemma":[0.00018289215,0.000079996105,0.00028680102,0.0005551079,0.00028875342,0.00041941073,0.00045946357,0.00017115047,0.00045588703],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001413436,0.00032705104,0.10191641,0.00048793288,0.00042057206,0.0007044275,0.00028199263,0.021639975,0.71307826,0.0011435339,0.0022203508,0.15636593],"study_design_scores_gemma":[0.0000805183,0.0022242484,0.93594414,0.00004574356,0.00015944525,0.00047448545,0.0003115829,0.009551628,0.02418515,0.00047930222,0.026506439,0.000037205995],"about_ca_topic_score_codex":0.009254411,"about_ca_topic_score_gemma":0.026785288,"teacher_disagreement_score":0.009254411,"about_ca_system_score_codex":0.000902457,"about_ca_system_score_gemma":0.0008438271,"threshold_uncertainty_score":0.018401086},"labels":[],"label_agreement":null},{"id":"W2801265418","doi":"10.5194/bg-15-6885-2018","title":"An improved parameterization of leaf area index (LAI) seasonality in the Canadian Land Surface Scheme (CLASS) and Canadian Terrestrial Ecosystem Model (CTEM) modelling framework","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Leaf area index; Environmental science; Deciduous; Terrestrial ecosystem; Primary production; Ecosystem; Biosphere; Atmospheric sciences; Carbon cycle; Phenology; FluxNet; Biosphere model; Seasonality; Growing season; Productivity; Vegetation (pathology); Climatology; Ecology; Biology; Eddy covariance","score_opus":0.02326993378474902,"score_gpt":0.2257413094708715,"score_spread":0.2024713756861225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801265418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7543579,0.00083605206,0.20831148,0.0007561588,0.00018206751,0.00022978292,0.010287893,0.0023440775,0.022694567],"genre_scores_gemma":[0.95693207,0.00019392301,0.037849374,0.00006508561,0.0000132036,0.00008018786,0.0021537757,0.00015886588,0.0025534178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998012,0.00003412504,0.000009440011,0.000048882983,0.00006143474,0.000045036035],"domain_scores_gemma":[0.9996817,0.000057440175,0.00002989276,0.000026327489,0.0001680558,0.000036635647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043993496,0.0008186205,0.00035160064,0.0004069211,0.00071029895,0.00097242167,0.0015890321,0.0005698593,0.001580824],"category_scores_gemma":[0.00096087315,0.00024039153,0.00060142047,0.00072758674,0.000258835,0.00059954013,0.00047524873,0.00060456153,0.00018414065],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049279966,0.000038325765,0.007423401,0.00003720507,0.000046141562,0.00003768774,0.000045526212,0.97882015,0.0021185784,0.0022869108,0.001217083,0.007879728],"study_design_scores_gemma":[0.000011444424,0.000005999461,0.0029960996,0.0000035761711,0.0000118311655,0.0000079254005,0.000010631282,0.9949811,0.00036873997,0.00023577659,0.0013539072,0.000012989733],"about_ca_topic_score_codex":0.86377394,"about_ca_topic_score_gemma":0.8373694,"teacher_disagreement_score":0.13622606,"about_ca_system_score_codex":0.0048213843,"about_ca_system_score_gemma":0.006033897,"threshold_uncertainty_score":0.2740566},"labels":[],"label_agreement":null},{"id":"W2802931963","doi":"10.5194/bg-15-6451-2018","title":"Dynamic mercury methylation and demethylation in oligotrophic marine water","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Division of Ocean Sciences; National Science Foundation","keywords":"Mercury (programming language); Methylation; Demethylation; Environmental chemistry; Water column; Chemistry; Methylmercury; Bioaccumulation; Ecology; DNA methylation; Biology; Biochemistry","score_opus":0.01441854290049513,"score_gpt":0.2639624713522456,"score_spread":0.24954392845175047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802931963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992126,0.00012526635,0.00021663701,0.000008778963,0.0000013915103,0.000004624221,0.00012847479,0.000003628949,0.00029849273],"genre_scores_gemma":[0.99865735,0.00014679211,0.00060465076,0.000011731217,0.0000018184147,0.000009138513,0.00020195758,0.0000024963153,0.00036416278],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992085,0.000007187704,0.0000043095206,0.00003082436,0.000023103936,0.000013733583],"domain_scores_gemma":[0.9999467,0.000008384714,0.000015116614,0.0000033695515,0.000013880228,0.000012533117],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010730484,0.0002349001,0.00016846118,0.00022292443,0.00025794568,0.00024053002,0.00014572717,0.00014567452,0.0003743414],"category_scores_gemma":[0.00013038692,0.000115712166,0.00010854629,0.00022008385,0.00019043239,0.00020214736,0.00028373156,0.00016812354,0.0000704141],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001950614,0.000017365895,0.040050432,0.000036524358,0.000025077628,0.000046445148,0.00024501927,0.00021645903,0.9554179,0.000046103312,0.000029696643,0.003674042],"study_design_scores_gemma":[0.000016949172,0.00047964024,0.64001703,0.000014022561,0.00006190184,0.00010037968,0.0005840815,0.0028612409,0.35400164,0.00020128398,0.0016422468,0.00001955664],"about_ca_topic_score_codex":0.013878702,"about_ca_topic_score_gemma":0.023057992,"teacher_disagreement_score":0.013878702,"about_ca_system_score_codex":0.0004742741,"about_ca_system_score_gemma":0.0003593027,"threshold_uncertainty_score":0.027595818},"labels":[],"label_agreement":null},{"id":"W2803276361","doi":"10.5194/bg-15-5545-2018","title":"Tracing water masses with <sup>129</sup> I and <sup>236</sup> U in the subpolar North Atlantic along the GEOTRACES GA01 section","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; Centre National de la Recherche Scientifique; Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; Ministerio de Educación, Cultura y Deporte; Eidgenössische Technische Hochschule Zürich; Ministerio de Economía y Competitividad; National Science Foundation; Generalitat de Catalunya; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche","keywords":"Geotraces; Oceanography; Water mass; Ocean current; Transect; Surface water; Geology; Environmental science","score_opus":0.017321980063249916,"score_gpt":0.22430255417038034,"score_spread":0.20698057410713042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803276361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805,0.000039548297,0.00024555944,0.000022630293,0.0000044944436,0.0000027169003,0.00048804318,0.000021421374,0.0011256704],"genre_scores_gemma":[0.9981598,0.00005727129,0.0007126396,0.000015458405,0.0000031645966,0.0000036607423,0.0005492122,0.0000069816506,0.00049160875],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999658,0.0000020930643,0.0000011115078,0.000012320443,0.000011293718,0.000007438753],"domain_scores_gemma":[0.9999238,0.000008685561,0.000023822131,0.0000038392486,0.000026270729,0.000013624097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000056649154,0.00017104948,0.000085587744,0.00029190362,0.00020625014,0.0002696002,0.0001610495,0.00019900544,0.0008095044],"category_scores_gemma":[0.00011149999,0.00009876574,0.00015213236,0.0003150576,0.00012561426,0.00017358866,0.00019823863,0.00016135952,0.00016403319],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018795098,0.000026701386,0.8349698,0.000029922678,0.000061005245,0.00017150857,0.000220193,0.0016127011,0.14627397,0.00015133311,0.0004080278,0.015886921],"study_design_scores_gemma":[0.0000055486335,0.00005133828,0.9856824,0.00000610281,0.000022560715,0.0000441864,0.00018568286,0.003982302,0.008866387,0.000036580455,0.001111371,0.0000056049444],"about_ca_topic_score_codex":0.03743222,"about_ca_topic_score_gemma":0.09819515,"teacher_disagreement_score":0.03743222,"about_ca_system_score_codex":0.0003829045,"about_ca_system_score_gemma":0.00039258294,"threshold_uncertainty_score":0.07442868},"labels":[],"label_agreement":null},{"id":"W2804344242","doi":"10.5194/bg-15-5745-2018","title":"Effects of light and temperature on Mg uptake, growth, and calcification in the proxy climate archive <i>Clathromorphum</i> <i>compactum</i>","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal plant biology","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Geological Society of America; Smithsonian Institution","keywords":"Photosynthesis; Benthic zone; Calcification; Oceanography; Algae; Biology; Mesocosm; Animal science; Geology; Ecology; Botany; Nutrient; Internal medicine","score_opus":0.00778033222652766,"score_gpt":0.2016187828201748,"score_spread":0.19383845059364715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804344242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996971,0.000025140154,0.00005378235,0.000002963083,8.0305296e-7,0.0000011477824,0.00015086237,0.0000027583383,0.00006544204],"genre_scores_gemma":[0.99934703,0.000013132351,0.00020465978,0.0000070494752,0.0000010738771,0.000004767112,0.00034855143,0.0000044766816,0.00006923541],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99987113,0.000020773728,0.000008821394,0.000063848725,0.000019492698,0.000015872089],"domain_scores_gemma":[0.99957234,0.00011511194,0.00012645563,0.00006457836,0.000053496708,0.000068095505],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028990343,0.00024585327,0.00030395246,0.0002730742,0.0004002383,0.00045330886,0.00030285932,0.0002747741,0.0004799295],"category_scores_gemma":[0.0003812439,0.0002197247,0.00026817663,0.00027804502,0.00031899125,0.00023926128,0.00037529867,0.0003317834,0.00010657664],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021649085,0.00013054088,0.6814511,0.00005006604,0.00014669969,0.00011378054,0.00022345792,0.0008372751,0.3106625,0.00005041283,0.00009864565,0.004070645],"study_design_scores_gemma":[0.000005395568,0.00009849562,0.98884916,0.0000011881156,0.000022121449,0.000041330433,0.000054047996,0.0008873221,0.009930857,0.000007806978,0.0000985069,0.0000037291904],"about_ca_topic_score_codex":0.012024445,"about_ca_topic_score_gemma":0.016847149,"teacher_disagreement_score":0.012024445,"about_ca_system_score_codex":0.0004674345,"about_ca_system_score_gemma":0.00016814776,"threshold_uncertainty_score":0.023908913},"labels":[],"label_agreement":null},{"id":"W2804406289","doi":"10.5194/bg-15-7059-2018","title":"Integrating multimedia models to assess nitrogen losses from the Mississippi River basin to the Gulf of Mexico","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Office of Research and Development; U.S. Environmental Protection Agency","keywords":"CMAQ; Weather Research and Forecasting Model; Streamflow; Environmental science; Hydrology (agriculture); Watershed; Soil and Water Assessment Tool; Water quality; Deposition (geology); SWAT model; Drainage basin; Air quality index; Meteorology; Structural basin; Geology; Computer science; Geography; Geomorphology","score_opus":0.036318077630733706,"score_gpt":0.25454171620178534,"score_spread":0.21822363857105165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804406289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815316,0.000080763675,0.011335725,0.00019592409,0.000018130619,0.00006234794,0.0017533294,0.00043704713,0.0045850114],"genre_scores_gemma":[0.99145484,0.00005888612,0.0068511018,0.000031780553,0.0000067571464,0.00005404013,0.0007569082,0.00001742803,0.0007682219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991727,0.000018006343,0.0000056935937,0.000029544612,0.000018006791,0.0000114582845],"domain_scores_gemma":[0.99979204,0.00008159775,0.000032038326,0.00001675909,0.00006261921,0.000015003379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032641867,0.00055794173,0.00021693711,0.00057335454,0.0003846333,0.00062384596,0.0005722547,0.0004985689,0.0014040371],"category_scores_gemma":[0.0007506154,0.00018793446,0.00046487837,0.00046328118,0.000171932,0.00058254035,0.00037560952,0.0002837332,0.00007563922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008758904,0.00012323502,0.04080827,0.000027122514,0.00010345848,0.000073016,0.00004097616,0.94274807,0.0015668569,0.0007707689,0.0005624256,0.013088159],"study_design_scores_gemma":[0.000017715332,0.00004354899,0.008049699,0.0000047179406,0.000029133229,0.000006505631,0.000048919617,0.9901158,0.0009100489,0.000291385,0.00047597077,0.0000064985807],"about_ca_topic_score_codex":0.16446246,"about_ca_topic_score_gemma":0.14122562,"teacher_disagreement_score":0.16446246,"about_ca_system_score_codex":0.0023847145,"about_ca_system_score_gemma":0.0010029676,"threshold_uncertainty_score":0.32701033},"labels":[],"label_agreement":null},{"id":"W2807318117","doi":"10.5194/bg-16-1563-2019","title":"Inputs and processes affecting the distribution of particulate iron in the North Atlantic along the GEOVIDE (GEOTRACES GA01) section","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Geotraces; Particulates; Biogeochemical cycle; Water column; Geology; Trace metal; Photic zone; Oceanography; Trace element; Continental shelf; Continental margin; Scavenging; Seawater; Environmental chemistry; Geochemistry; Metal; Chemistry; Phytoplankton; Paleontology; Nutrient","score_opus":0.008950758934913485,"score_gpt":0.19205880608438428,"score_spread":0.1831080471494708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807318117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99812883,0.000099441466,0.0000834878,0.000030336698,0.00000394667,0.0000042254214,0.0005408707,0.000011147121,0.0010977159],"genre_scores_gemma":[0.99847025,0.00006555843,0.00021147814,0.000017959515,0.000003773606,0.000004077168,0.000698632,0.000005432168,0.0005227938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999918,0.0000065828067,0.0000048112543,0.000029963223,0.00001965068,0.000021069038],"domain_scores_gemma":[0.9999057,0.000008697638,0.000034770484,0.0000059532726,0.000029866913,0.00001496457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011404547,0.00026265119,0.00018374849,0.0005240928,0.00036471104,0.00050833914,0.00020737214,0.00028856104,0.00091890775],"category_scores_gemma":[0.00021595004,0.00019342588,0.00024349481,0.00040423786,0.00019570846,0.00018613132,0.00043159572,0.00019737406,0.0001884897],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015401436,0.000030608957,0.9469026,0.000044386812,0.00009446591,0.00020062449,0.0003881324,0.0009183463,0.038622912,0.000112268484,0.00026663218,0.01226504],"study_design_scores_gemma":[0.000001541821,0.000006883548,0.99927086,0.0000036473207,0.000005311661,0.000008998343,0.000074445554,0.00020343151,0.00016909919,0.0000066854386,0.00024796685,0.0000011419224],"about_ca_topic_score_codex":0.16217421,"about_ca_topic_score_gemma":0.28512627,"teacher_disagreement_score":0.16217421,"about_ca_system_score_codex":0.0011021243,"about_ca_system_score_gemma":0.0005161318,"threshold_uncertainty_score":0.32246053},"labels":[],"label_agreement":null},{"id":"W2807952008","doi":"10.5194/bg-15-5891-2018","title":"An intercomparison of oceanic methane and nitrous oxide measurements","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Research Foundation of Korea; Natural Environment Research Council; Sight Research UK; Gordon and Betty Moore Foundation; Simons Foundation","keywords":"Nitrous oxide; Methane; Trace gas; Seawater; Environmental science; Environmental chemistry; Water column; Biogeochemical cycle; Chemistry; Atmosphere (unit); Oceanography; Meteorology; Geology","score_opus":0.022292928004334883,"score_gpt":0.2504097252190449,"score_spread":0.22811679721471004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807952008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9687169,0.00078705396,0.02493296,0.00023967923,0.00023489955,0.00017384018,0.0011390181,0.0003675162,0.0034081144],"genre_scores_gemma":[0.9697188,0.00022227457,0.026887642,0.00011232359,0.00004742628,0.0000860847,0.002280823,0.00007184453,0.0005728432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9947678,0.0014247791,0.0003747932,0.0016494439,0.0015334971,0.0002495804],"domain_scores_gemma":[0.9951546,0.0011626398,0.00055730046,0.0010245624,0.0019826496,0.00011818247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008996292,0.0006496215,0.000589828,0.0016074177,0.0010789046,0.0014666757,0.0012894106,0.0008860285,0.00038193108],"category_scores_gemma":[0.006863641,0.0002802791,0.0007390255,0.0020555416,0.00043576118,0.0010104814,0.0017944017,0.00063555,0.00018264138],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014635192,0.0008929372,0.47686177,0.0005664366,0.0021716738,0.00049825036,0.0027413259,0.026219549,0.31987754,0.0013655855,0.001818477,0.165523],"study_design_scores_gemma":[0.0001762471,0.001816171,0.6532417,0.00016570151,0.0012263936,0.00024284865,0.002670986,0.064313725,0.25268707,0.0023187327,0.0209702,0.00017022998],"about_ca_topic_score_codex":0.013513118,"about_ca_topic_score_gemma":0.016389228,"teacher_disagreement_score":0.013513118,"about_ca_system_score_codex":0.0012547701,"about_ca_system_score_gemma":0.001784372,"threshold_uncertainty_score":0.0475775},"labels":[],"label_agreement":null},{"id":"W2808506779","doi":"10.5194/bg-15-5929-2018","title":"Reviews and syntheses: Carbon use efficiency from organisms to ecosystems – definitions, theories, and empirical evidence","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":203,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Stockholms Universitet; Vetenskapsrådet; Svenska Forskningsrådet Formas; Ministerstvo Školství, Mládeže a Tělovýchovy","keywords":"Abiotic component; Autotroph; Ecosystem; Biogeochemical cycle; Environmental science; Heterotroph; Ecology; Biosphere; Biochemical engineering; Biology","score_opus":0.1140465263424955,"score_gpt":0.27551853972591034,"score_spread":0.16147201338341483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808506779","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024110726,0.9922476,0.0008196142,0.0018801984,0.0013226288,0.0000092996315,0.00036020525,0.00002406787,0.0030952825],"genre_scores_gemma":[0.0055512683,0.9875212,0.0019150604,0.0013443105,0.0019504344,0.00005591687,0.0005152795,0.00004460599,0.0011020387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979062,0.00062119454,0.00040075983,0.00043583478,0.00053881353,0.00009728021],"domain_scores_gemma":[0.9794296,0.01568278,0.0017887353,0.0008496188,0.0020205947,0.00022872187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030184858,0.0017180615,0.0019822442,0.009770682,0.00043614538,0.003601539,0.0015440984,0.0016457026,0.011693225],"category_scores_gemma":[0.021251434,0.00054987,0.0008387575,0.023207204,0.0020074828,0.003745892,0.0015108802,0.0019361547,0.0037551105],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020640275,0.000059071175,0.00092783326,0.11254768,0.0009398255,0.00015440772,0.00072545063,0.0024996442,0.001400036,0.071582995,0.23457219,0.57438445],"study_design_scores_gemma":[0.00001925783,0.00003856791,0.0028196767,0.02933783,0.00043905317,0.00021465181,0.00027723596,0.0003647708,0.0004947604,0.026509292,0.93943447,0.00005036146],"about_ca_topic_score_codex":0.003065465,"about_ca_topic_score_gemma":0.0030505615,"teacher_disagreement_score":0.011693225,"about_ca_system_score_codex":0.002561726,"about_ca_system_score_gemma":0.0029631725,"threshold_uncertainty_score":0.039117754},"labels":[],"label_agreement":null},{"id":"W2808638327","doi":"10.5194/bg-15-3497-2018","title":"Sea-surface dimethylsulfide (DMS) concentration from satellite data at global and regional scales","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Takuvik Joint International Laboratory; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Agència de Gestió d'Ajuts Universitaris i de Recerca; Generalitat de Catalunya; ArcticNet; National Aeronautics and Space Administration","keywords":"Dimethylsulfoniopropionate; Environmental science; Biome; Satellite; Climatology; Dimethyl sulfide; Aerosol; Plankton; Oceanography; Atmospheric sciences; Meteorology; Phytoplankton; Geology; Geography; Ecosystem; Biology; Chemistry; Ecology; Sulfur","score_opus":0.03614473789764123,"score_gpt":0.25321096694446604,"score_spread":0.21706622904682482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808638327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9606004,0.0010243768,0.012160085,0.00020948268,0.000048525846,0.0000351956,0.019493286,0.0006721087,0.005756435],"genre_scores_gemma":[0.974843,0.00037779735,0.01041533,0.000043866672,0.000020361296,0.000017976166,0.013517906,0.00006215719,0.0007015629],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999037,0.000014553276,0.0000093007375,0.000037084283,0.000026751391,0.000008733418],"domain_scores_gemma":[0.99978393,0.000031250813,0.000060134083,0.0000439968,0.00006887868,0.000011702793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000291949,0.00044296272,0.00021996009,0.0006363204,0.00008672273,0.0004476447,0.0002132817,0.00018777521,0.0011340226],"category_scores_gemma":[0.00062724185,0.0001285095,0.00046529423,0.0010398256,0.000091369584,0.00039183386,0.00034922495,0.00020324162,0.0004602425],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023320806,0.000071718925,0.7161396,0.00056392694,0.0010124529,0.00020105996,0.00013886472,0.06248103,0.05393205,0.0007744078,0.006076258,0.15837544],"study_design_scores_gemma":[0.000029757417,0.000060861526,0.8764379,0.00006351065,0.00025479402,0.0000960094,0.00016326206,0.08477369,0.025066236,0.00085531204,0.012153439,0.00004514605],"about_ca_topic_score_codex":0.010317401,"about_ca_topic_score_gemma":0.015394181,"teacher_disagreement_score":0.010317401,"about_ca_system_score_codex":0.0003074709,"about_ca_system_score_gemma":0.0003129892,"threshold_uncertainty_score":0.020514727},"labels":[],"label_agreement":null},{"id":"W2808920014","doi":"10.5194/bg-15-3761-2018","title":"The devil's in the disequilibrium: multi-component analysis of dissolved carbon and oxygen changes under a broad range of forcings in a general circulation model","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Ministerio de Economía y Competitividad; Compute Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Biogeochemical cycle; Carbon cycle; Environmental science; Climate model; Antarctic Bottom Water; Radiative forcing; Atmospheric sciences; Disequilibrium; Dissolved organic carbon; Climatology; Climate change; Oceanography; Chemistry; Geology; Thermohaline circulation; Ecosystem; Environmental chemistry; Ecology","score_opus":0.02827481590925635,"score_gpt":0.2367056310857036,"score_spread":0.20843081517644726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808920014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818486,0.00010417271,0.015720718,0.00056246156,0.00003277815,0.000027636685,0.00030818704,0.000116126306,0.0012792528],"genre_scores_gemma":[0.99745995,0.000036143378,0.0019742586,0.000045223067,0.0000074456516,0.00001821307,0.00013079664,0.00002516793,0.00030280667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987125,0.000060683426,0.000006566936,0.000025888161,0.000013575006,0.000021964273],"domain_scores_gemma":[0.99945456,0.00031773924,0.0000634143,0.000041324012,0.000053020412,0.00007001098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074270286,0.0005394344,0.00051283167,0.00053556915,0.00063926546,0.00093518436,0.0006560257,0.0007426097,0.00063829625],"category_scores_gemma":[0.0020341065,0.00037063102,0.0009385527,0.00032372895,0.00060908287,0.00055070815,0.00072246586,0.00076948834,0.0000498245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006179603,0.000033072112,0.011522789,0.000018734723,0.00011717915,0.00006270754,0.000032974796,0.9829054,0.0014257303,0.0020490857,0.00033807982,0.0014325164],"study_design_scores_gemma":[0.000011672951,0.000009766322,0.0018072766,0.0000014468343,0.0000068472878,0.0000029561136,0.000009064809,0.9974522,0.00007892105,0.0005505625,0.000063415515,0.0000058765904],"about_ca_topic_score_codex":0.031084627,"about_ca_topic_score_gemma":0.016861087,"teacher_disagreement_score":0.031084627,"about_ca_system_score_codex":0.00090715714,"about_ca_system_score_gemma":0.00086707954,"threshold_uncertainty_score":0.061807394},"labels":[],"label_agreement":null},{"id":"W2809157677","doi":"10.5194/bg-15-6731-2018","title":"Biochemical and structural controls on the decomposition dynamics of boreal upland forest moss tissues","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Windsor; Canadian Forest Service; Memorial University of Newfoundland","funders":"","keywords":"Moss; Taiga; Chemistry; Soil water; Decomposition; Environmental chemistry; Botany; Forest floor; Ecology; Biology; Organic chemistry","score_opus":0.007377641368457444,"score_gpt":0.24587329944204944,"score_spread":0.238495658073592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2809157677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99939513,0.00018165678,0.00007978509,0.000006980784,0.0000013676649,0.000003910558,0.00010241101,0.0000046684013,0.00022427212],"genre_scores_gemma":[0.99894875,0.00009827543,0.00021906987,0.000015222758,0.0000016171927,0.000006607582,0.000296917,0.000003879865,0.00040965635],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998977,0.000007675197,0.0000058058654,0.000037613772,0.000013762044,0.00003746413],"domain_scores_gemma":[0.9997297,0.00002197216,0.00007588761,0.000013283622,0.00006882457,0.00009035646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015341735,0.00031845795,0.00017094988,0.00022667588,0.0004422678,0.00048946665,0.00016694574,0.00017983688,0.0005055464],"category_scores_gemma":[0.00015779892,0.00021250485,0.00014385066,0.00010639072,0.00029990813,0.00023382706,0.00016336482,0.00025514018,0.00011620599],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021754554,0.000020631465,0.015571571,0.000028265891,0.000013106918,0.000042961714,0.00008278181,0.00007226399,0.9828523,0.00001758262,0.000023935658,0.0010569523],"study_design_scores_gemma":[0.0000048181264,0.00015106094,0.9510348,0.000005082437,0.000014498856,0.00008509147,0.0002382827,0.00033390615,0.047753125,0.000017553457,0.00035287265,0.000008892826],"about_ca_topic_score_codex":0.058361445,"about_ca_topic_score_gemma":0.12379531,"teacher_disagreement_score":0.058361445,"about_ca_system_score_codex":0.0009823565,"about_ca_system_score_gemma":0.0005739393,"threshold_uncertainty_score":0.11604351},"labels":[],"label_agreement":null},{"id":"W2820672619","doi":"10.5194/bg-15-6747-2018","title":"The effect of the 2013–2016 high temperature anomaly in the subarctic Northeast Pacific (the “Blob”) on net community production","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Division of Ocean Sciences; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Subarctic climate; Environmental science; Oxygen; Water mass; Oceanography; Atmospheric sciences; Chemistry; Geology","score_opus":0.00690136666497503,"score_gpt":0.18895464681432556,"score_spread":0.18205328014935052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2820672619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986546,0.00015113439,0.000057146062,0.0000799425,0.000015903413,0.0000022965949,0.00048244843,0.000008440346,0.0005479347],"genre_scores_gemma":[0.99910814,0.00010203304,0.00005073596,0.000031628322,0.000009249244,0.0000034102602,0.00042628215,0.0000048790594,0.00026357453],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998548,0.000023974688,0.000012167638,0.000045170247,0.000023177927,0.000040711515],"domain_scores_gemma":[0.999506,0.000047609847,0.00016251624,0.000040661464,0.00009274293,0.0001505339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032603022,0.0002780882,0.00021312437,0.00023571987,0.00027008695,0.00047091144,0.00018146014,0.00019362057,0.0012052475],"category_scores_gemma":[0.00055679854,0.00012666696,0.00037835428,0.00033380854,0.00044729753,0.00022228618,0.00048826908,0.00033736648,0.00015507387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006040944,0.00006611665,0.96159375,0.00008627465,0.0002750655,0.00023346042,0.0001429297,0.0014505091,0.025531856,0.000094005314,0.00088156713,0.009040536],"study_design_scores_gemma":[0.0000014535065,0.000019782161,0.9988844,0.000003203555,0.00001330751,0.000012779414,0.000056603243,0.00027344757,0.0004785405,0.000007966225,0.00024702327,0.0000015520214],"about_ca_topic_score_codex":0.059017926,"about_ca_topic_score_gemma":0.09820257,"teacher_disagreement_score":0.059017926,"about_ca_system_score_codex":0.0007942879,"about_ca_system_score_gemma":0.0007240143,"threshold_uncertainty_score":0.11734879},"labels":[],"label_agreement":null},{"id":"W2827121441","doi":"10.5194/bg-15-7243-2018","title":"On biotic and abiotic drivers of the microphytobenthos seasonal cycle in a temperate intertidal mudflat: a modelling study","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National d’Etudes Spatiales; Conseil Régional Aquitaine; Centre National de la Recherche Scientifique; European Commission; Université Laval","keywords":"Environmental science; Benthic zone; Spring bloom; Intertidal zone; Bloom; Oceanography; Grazing pressure; Phytoplankton; Biomass (ecology); Trophic level; Abiotic component; Ecology; Plankton; Pelagic zone; Grazing; Biology; Nutrient; Geology","score_opus":0.011349053272674561,"score_gpt":0.20005198923863735,"score_spread":0.18870293596596277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2827121441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99853194,0.000048521862,0.00063519436,0.000030338473,0.0000031803256,0.000007656209,0.00027491004,0.000017089511,0.00045110894],"genre_scores_gemma":[0.9987614,0.00004677467,0.00047785867,0.000011815734,0.000004169446,0.000018837909,0.00027016283,0.0000065990193,0.00040233997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999908,0.000025496978,0.0000057134926,0.000029246761,0.000006985312,0.00002453976],"domain_scores_gemma":[0.9996829,0.00016000238,0.00006154387,0.000020976562,0.000027656864,0.00004696021],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029307537,0.0007141049,0.0004975942,0.00045906802,0.00047733603,0.0008538109,0.0007782618,0.0012881302,0.0016049234],"category_scores_gemma":[0.00055516127,0.0003857621,0.0013269476,0.0003599692,0.00034895624,0.0005531088,0.0004249887,0.0003657962,0.00020219035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027851967,0.00032058932,0.16517276,0.00007743105,0.00030548588,0.00039259164,0.00013649996,0.8226396,0.0066354144,0.0008390446,0.00037209323,0.0028300274],"study_design_scores_gemma":[0.000038417682,0.00013635392,0.053718917,0.000008660493,0.000061447456,0.00003119799,0.000091711205,0.94519997,0.00025826687,0.00017004464,0.00026748204,0.000017540488],"about_ca_topic_score_codex":0.06510808,"about_ca_topic_score_gemma":0.04033981,"teacher_disagreement_score":0.06510808,"about_ca_system_score_codex":0.0011912596,"about_ca_system_score_gemma":0.0006436773,"threshold_uncertainty_score":0.12945825},"labels":[],"label_agreement":null},{"id":"W2883201284","doi":"10.5194/bg-16-617-2019","title":"Variation in brachiopod microstructure and isotope geochemistry under low-pH–ocean acidification conditions","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"European Commission","keywords":"Calcite; Dissolution; Microstructure; Shell (structure); Ocean acidification; Stable isotope ratio; δ13C; Isotope geochemistry; Geology; Isotope; Diagenesis; δ18O; Mineralogy; Geochemistry; Chemistry; Seawater; Oceanography; Materials science; Composite material; Crystallography","score_opus":0.006487628225856065,"score_gpt":0.2123136301960995,"score_spread":0.20582600197024342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2883201284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999006,0.00018063093,0.00013853522,0.0000041280714,0.0000020466055,0.00000320499,0.0002498931,0.0000036167705,0.00041189993],"genre_scores_gemma":[0.9987035,0.00008720137,0.00031122883,0.000015522386,0.0000016794963,0.000006061761,0.00043623336,0.0000040346777,0.00043460017],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987566,0.000010417838,0.000010361331,0.000057004883,0.000024354553,0.000022184993],"domain_scores_gemma":[0.9998266,0.000013513318,0.00007021433,0.00001663505,0.000041219246,0.000031865133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011976189,0.0003038354,0.000218833,0.00044886614,0.00028494062,0.00042810783,0.00020647563,0.00030828457,0.0006811786],"category_scores_gemma":[0.00019499617,0.00019410912,0.00020103501,0.00030483003,0.00029558546,0.00022917039,0.00037426344,0.00023781367,0.00020682535],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020395793,0.000016816473,0.17964679,0.000059478614,0.000060380993,0.00014861509,0.00026214652,0.0001136357,0.81599647,0.00003030113,0.000038142985,0.00342321],"study_design_scores_gemma":[0.000001244387,0.000059945807,0.99199766,0.0000034349587,0.000011451184,0.00010319697,0.00011581974,0.00005874751,0.0074077635,0.000010218302,0.00022789356,0.0000027675205],"about_ca_topic_score_codex":0.004132602,"about_ca_topic_score_gemma":0.0080220625,"teacher_disagreement_score":0.004132602,"about_ca_system_score_codex":0.0002975355,"about_ca_system_score_gemma":0.00013667291,"threshold_uncertainty_score":0.008217096},"labels":[],"label_agreement":null},{"id":"W2884553297","doi":"10.5194/bg-16-437-2019","title":"Sedimentary alkalinity generation and long-term alkalinity development in the Baltic Sea","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"European Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Svenska Forskningsrådet Formas; European Commission; Nordisk Ministerråd; Havs- och Vattenmyndigheten","keywords":"Alkalinity; Submarine groundwater discharge; Anoxic waters; Biogeochemical cycle; Environmental science; Oceanography; Sedimentary rock; Seawater; Geology; Groundwater; Geochemistry; Environmental chemistry; Chemistry; Aquifer","score_opus":0.024188570802274885,"score_gpt":0.22436686729770502,"score_spread":0.20017829649543015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884553297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999329,0.000065578715,0.00007908613,0.00002439266,0.0000025481422,0.0000017402758,0.0001256896,0.000010460552,0.00036153255],"genre_scores_gemma":[0.9995752,0.00003778872,0.000086320746,0.0000066162797,0.000001369543,0.0000025962952,0.00017849609,0.0000018695456,0.00010984237],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988246,0.000019938705,0.000015905864,0.000041631476,0.000018075638,0.000021945612],"domain_scores_gemma":[0.99980396,0.000027480108,0.000052518753,0.000018727442,0.000065564476,0.000031697655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003828178,0.00045294792,0.00024761527,0.00056590803,0.00041821421,0.0010564096,0.0003447894,0.00058763905,0.0006914114],"category_scores_gemma":[0.00047317432,0.00030019134,0.00044143468,0.00059582456,0.00040323622,0.00068028754,0.0004901315,0.0001884322,0.0001176308],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017809444,0.00008124626,0.9344044,0.000088552864,0.00029813376,0.00056788506,0.00027512846,0.039002232,0.01373655,0.00026248733,0.00027181138,0.010833512],"study_design_scores_gemma":[0.000025316938,0.000069716036,0.96536803,0.000014820809,0.00007423413,0.00004799539,0.00020790311,0.03200233,0.0014034691,0.0001454095,0.0006219645,0.000018616782],"about_ca_topic_score_codex":0.06118461,"about_ca_topic_score_gemma":0.06688955,"teacher_disagreement_score":0.06118461,"about_ca_system_score_codex":0.0014595761,"about_ca_system_score_gemma":0.0007836605,"threshold_uncertainty_score":0.121656954},"labels":[],"label_agreement":null},{"id":"W2884877582","doi":"10.5194/bg-15-7097-2018","title":"Introduction to the French GEOTRACES North Atlantic Transect (GA01): GEOVIDE cruise","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Geotraces; Cruise; Oceanography; Context (archaeology); Transect; Special section; Section (typography); Geology; Geography; Library science; Engineering; Computer science; Archaeology","score_opus":0.011566694845337178,"score_gpt":0.1965191516101953,"score_spread":0.1849524567648581,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884877582","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.048580755,0.08422464,0.023971863,0.050415598,0.039343417,0.0013245632,0.42445514,0.0027179376,0.32496604],"genre_scores_gemma":[0.16588557,0.03718217,0.057427548,0.0131987315,0.014157931,0.0017153992,0.33843747,0.0026248135,0.3693703],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99961734,0.00005564657,0.00003406057,0.00011248026,0.00012950832,0.0000508596],"domain_scores_gemma":[0.9988887,0.00014479745,0.00012812436,0.00006495355,0.00065038196,0.00012309784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011527307,0.0006565765,0.00026581204,0.0025352102,0.00089195033,0.0013974347,0.0005820542,0.00090923527,0.02850619],"category_scores_gemma":[0.0017578405,0.0003329869,0.00051143655,0.0019793853,0.00051825726,0.0010034723,0.00097619963,0.001292253,0.009563757],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015250099,0.000031470507,0.013606182,0.00082896824,0.000038175276,0.00028191975,0.0007012119,0.00064571045,0.0021596109,0.0051090303,0.88743687,0.08900848],"study_design_scores_gemma":[0.0000056028584,0.00002134942,0.024591677,0.0001737533,0.0000049421433,0.00009919292,0.00018015815,0.00005785061,0.00018281992,0.000317709,0.97435284,0.00001209155],"about_ca_topic_score_codex":0.23529628,"about_ca_topic_score_gemma":0.30658785,"teacher_disagreement_score":0.23529628,"about_ca_system_score_codex":0.0017208329,"about_ca_system_score_gemma":0.0031330823,"threshold_uncertainty_score":0.46785343},"labels":[],"label_agreement":null},{"id":"W2884900879","doi":"10.5194/bg-15-4575-2018","title":"Environmental drivers of soil phosphorus composition in natural ecosystems","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":62,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Natural Sciences and Engineering Research Council of Canada; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Edaphic; Pedogenesis; Weathering; Environmental chemistry; Ecosystem; Soil organic matter; Soil carbon; Leaching (pedology); Phosphorus; Environmental science; Soil water; Soil chemistry; Soil science; Chemistry; Ecology; Geology; Geochemistry; Biology","score_opus":0.007983575576412305,"score_gpt":0.19260314659001787,"score_spread":0.18461957101360557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884900879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996523,0.0006005527,0.0005860262,0.000025323743,0.0000014132156,0.000004743361,0.001879811,0.000013119818,0.00036601583],"genre_scores_gemma":[0.99813,0.00021574044,0.00032633106,0.000010102475,0.0000023924051,0.000006706979,0.0012514978,0.0000034783143,0.000053713204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996351,0.00009543433,0.000036215843,0.00014856312,0.0000540119,0.000030721094],"domain_scores_gemma":[0.99939275,0.0001969955,0.00023683443,0.00004817956,0.00008450698,0.00004075068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004470929,0.00017639932,0.00029371455,0.001077384,0.00018346854,0.0005599398,0.00016720015,0.00018053647,0.00051486015],"category_scores_gemma":[0.00083567016,0.00012519943,0.0002674341,0.0017306595,0.0003150432,0.00046697422,0.00048624078,0.00012212753,0.00010765177],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005100222,0.00001416887,0.97498375,0.00022025594,0.00027243045,0.00014699687,0.000108663284,0.0015373469,0.013906361,0.00017914726,0.000113015216,0.008466875],"study_design_scores_gemma":[0.0000014806672,0.000009086048,0.99821043,0.0000042139754,0.00001797295,0.000059326892,0.00009221429,0.0007215068,0.0003590068,0.00015667132,0.0003640913,0.0000040330933],"about_ca_topic_score_codex":0.004376536,"about_ca_topic_score_gemma":0.0060961028,"teacher_disagreement_score":0.004376536,"about_ca_system_score_codex":0.00027060273,"about_ca_system_score_gemma":0.00029132338,"threshold_uncertainty_score":0.008702099},"labels":[],"label_agreement":null},{"id":"W2888460195","doi":"10.5194/bg-16-309-2019","title":"The export flux of particulate organic carbon derived from <sup>210</sup> Po∕ <sup>210</sup> Pb disequilibria along the North Atlantic GEOTRACES GA01 transect: GEOVIDE cruise","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Division of Ocean Sciences; Ministerio de Educación, Cultura y Deporte; Eidgenössische Technische Hochschule Zürich; National Science Foundation; Generalitat de Catalunya; Agence Nationale de la Recherche","keywords":"Flux (metallurgy); Geotraces; Phytoplankton; Transect; Particulates; Oceanography; Seawater; Environmental science; Advection; Atmospheric sciences; Chemistry; Geology; Nutrient; Physics","score_opus":0.010293093688826329,"score_gpt":0.18562465890724741,"score_spread":0.17533156521842108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888460195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971296,0.000056378878,0.00020165881,0.00002158676,0.000006318209,0.0000040958284,0.0018078081,0.000015838657,0.00075674045],"genre_scores_gemma":[0.99486417,0.00010653684,0.00060928013,0.000019563857,0.000003618622,0.000012030296,0.003250314,0.000019032997,0.001115458],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994385,0.0000032758758,0.0000033537306,0.000026139725,0.0000134795955,0.00000992434],"domain_scores_gemma":[0.999889,0.000012014644,0.000031362208,0.0000074646377,0.000042411102,0.000017668352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013768404,0.0005135045,0.00019262123,0.000509618,0.00038662655,0.0006288712,0.00023488264,0.00037859892,0.00097397564],"category_scores_gemma":[0.00017283125,0.00027111534,0.00043031253,0.0005782427,0.00021034147,0.00037768434,0.00034347645,0.00036179728,0.0002340992],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005788715,0.000047653404,0.9045599,0.0001055001,0.00031227717,0.00037213427,0.0004183057,0.0057932083,0.07630111,0.00019992773,0.00075519463,0.010555984],"study_design_scores_gemma":[0.0000072794433,0.000022401553,0.9938247,0.000008316343,0.00003381934,0.00003759032,0.00013087645,0.0028079012,0.0023125387,0.00002140923,0.0007845834,0.000008636979],"about_ca_topic_score_codex":0.18081622,"about_ca_topic_score_gemma":0.2760384,"teacher_disagreement_score":0.18081622,"about_ca_system_score_codex":0.0014055711,"about_ca_system_score_gemma":0.00070825766,"threshold_uncertainty_score":0.35952753},"labels":[],"label_agreement":null},{"id":"W2888639342","doi":"10.5194/bg-16-1167-2019","title":"Contrasting effects of acidification and warming on dimethylsulfide concentrations during a temperate estuarine fall bloom mesocosm experiment","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Mesocosm; Dimethylsulfoniopropionate; Ocean acidification; Bloom; Diatom; Environmental chemistry; Nitrate; Chemistry; Estuary; Microcosm; Environmental science; Phytoplankton; Nutrient; Ecology; Seawater; Biology","score_opus":0.008182670943176162,"score_gpt":0.2104122977575093,"score_spread":0.20222962681433315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888639342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994154,0.000035301866,0.00010745704,0.000011081931,0.0000044613203,0.000011827982,0.00022362526,0.0000058916958,0.00018506081],"genre_scores_gemma":[0.99757093,0.0000879977,0.00077622716,0.00008252622,0.000007265317,0.000078193145,0.0006777221,0.000006118763,0.00071303366],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998456,0.000017675338,0.000011904553,0.000073541254,0.000032983415,0.000018258408],"domain_scores_gemma":[0.9997731,0.000027562774,0.00005639733,0.000020707961,0.000053030843,0.00006920794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027480893,0.00035080998,0.00047763254,0.00016081455,0.00046650865,0.00032392284,0.00023649992,0.00030276232,0.0005438697],"category_scores_gemma":[0.00017772854,0.00020426525,0.0004067578,0.00020166532,0.00023272788,0.00022376727,0.0004498486,0.00057548453,0.00010960815],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002510215,0.00025705431,0.10774522,0.000050233433,0.00007962723,0.000106808475,0.00033143067,0.00051220367,0.8857843,0.000031138905,0.00011333598,0.0024785139],"study_design_scores_gemma":[0.000078487676,0.0020127585,0.891835,0.000008844696,0.00012048954,0.000045126988,0.00035127628,0.0019712972,0.10249995,0.000039281636,0.0010176894,0.000019830715],"about_ca_topic_score_codex":0.012781166,"about_ca_topic_score_gemma":0.0412796,"teacher_disagreement_score":0.012781166,"about_ca_system_score_codex":0.0009233592,"about_ca_system_score_gemma":0.0004631335,"threshold_uncertainty_score":0.025413573},"labels":[],"label_agreement":null},{"id":"W2888720704","doi":"10.5194/bg-16-605-2019","title":"High-frequency variability of CO <sub>2</sub> in Grand Passage, Bay of Fundy, Nova Scotia","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Environment and Climate Change Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Bay; Oceanography; Diel vertical migration; Carbon cycle; Alkalinity; Nova scotia; Environmental science; Annual cycle; Carbonate; Salinity; Geology; Ecosystem; Climatology; Ecology; Chemistry","score_opus":0.012467594286256732,"score_gpt":0.2229823013165362,"score_spread":0.21051470703027947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888720704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974482,0.00010487295,0.000043283202,0.00007390529,0.00000980331,0.000008754949,0.0012344115,0.000006833952,0.0010699228],"genre_scores_gemma":[0.9985393,0.00006219999,0.000059764912,0.000027591106,0.000004195151,0.000006249386,0.0005716091,0.0000017884176,0.00072731817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999026,0.000010502994,0.0000073704377,0.000030403944,0.000022904795,0.00002620324],"domain_scores_gemma":[0.9995338,0.000042680007,0.00008878148,0.0000244259,0.00020243943,0.00010789204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019482465,0.00017689452,0.00014784523,0.00053560693,0.0004972592,0.0005454443,0.000251553,0.00019323234,0.0008589333],"category_scores_gemma":[0.0005341733,0.00010087759,0.00015835316,0.00060707296,0.0003303854,0.00013503962,0.00043278805,0.00016252087,0.0001698282],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000120379475,0.000016657446,0.9903121,0.000032016826,0.00005535167,0.00034694115,0.00041740734,0.00036780603,0.004102322,0.00004404132,0.00071503886,0.0034698746],"study_design_scores_gemma":[0.0000014494082,0.0000030739677,0.99945444,0.0000028608024,0.0000025095287,0.000012267561,0.00013990134,0.00014112196,0.000046519646,0.0000024958836,0.00019230071,0.0000010941479],"about_ca_topic_score_codex":0.86639893,"about_ca_topic_score_gemma":0.92684865,"teacher_disagreement_score":0.13360107,"about_ca_system_score_codex":0.0027514896,"about_ca_system_score_gemma":0.002048047,"threshold_uncertainty_score":0.2687757},"labels":[],"label_agreement":null},{"id":"W2888816384","doi":"10.5194/bg-16-117-2019","title":"Global atmospheric CO <sub>2</sub> inverse models converging on neutral tropical land exchange, but disagreeing on fossil fuel and atmospheric growth rate","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":163,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research; National Science Foundation","keywords":"Extratropical cyclone; Northern Hemisphere; Environmental science; Atmospheric sciences; Southern Hemisphere; Climatology; Coupled model intercomparison project; Inversion (geology); Annual cycle; Climate model; Climate change; Geology; Oceanography","score_opus":0.008236468320146888,"score_gpt":0.19719610119750267,"score_spread":0.1889596328773558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888816384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910444,0.00013610053,0.0030437822,0.00040553833,0.00003411396,0.000012457792,0.0008351285,0.00012094865,0.0043674535],"genre_scores_gemma":[0.9973252,0.000057959256,0.0014693678,0.00007147716,0.000014311827,0.000010343746,0.0006251415,0.000031490632,0.0003947692],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998659,0.000039268347,0.000007807117,0.00004619601,0.00001595884,0.000024879653],"domain_scores_gemma":[0.9995995,0.0001219733,0.00007262426,0.000067235356,0.00009301452,0.000045703844],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007400556,0.0009327759,0.00045188362,0.0003011077,0.00035336244,0.0007812246,0.0009979911,0.0007860883,0.0008679107],"category_scores_gemma":[0.0014068433,0.0003517822,0.00089182286,0.0004090647,0.00048354245,0.00082822866,0.000386397,0.0007150668,0.00017960159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011244819,0.000053761498,0.028055279,0.000025975552,0.00016690063,0.00006317639,0.000038063175,0.96473086,0.002211765,0.0014794293,0.0006291176,0.0024331177],"study_design_scores_gemma":[0.00007353069,0.00003264893,0.010209543,0.00000701817,0.00005309036,0.000019325598,0.000031211228,0.98763007,0.0005500389,0.0009909499,0.00038568955,0.000016831284],"about_ca_topic_score_codex":0.06398704,"about_ca_topic_score_gemma":0.04569117,"teacher_disagreement_score":0.06398704,"about_ca_system_score_codex":0.0007839301,"about_ca_system_score_gemma":0.00072507997,"threshold_uncertainty_score":0.12722921},"labels":[],"label_agreement":null},{"id":"W2890069786","doi":"10.5194/bg-15-5595-2018","title":"Silicon cycle in the tropical South Pacific: contribution to the global Si cycle and evidence for an active pico-sized siliceous plankton","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; European Space Agency; Institut de Recherche pour le Développement; National Aeronautics and Space Administration","keywords":"Biogenic silica; Biogeochemical cycle; Oceanography; Upwelling; Environmental science; Plankton; Biogeochemistry; Annual cycle; Geology; Diatom; Climatology; Chemistry; Environmental chemistry","score_opus":0.024333676678537204,"score_gpt":0.2721893557908995,"score_spread":0.24785567911236228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890069786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972779,0.00060553144,0.00009786053,0.000043564844,0.00000442895,0.000006277871,0.0009365975,0.000007026967,0.001020908],"genre_scores_gemma":[0.99762976,0.000673478,0.0001820991,0.000020428792,0.000007586493,0.000008583876,0.0011570316,0.0000056665663,0.00031532123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99996233,0.0000030058154,0.0000043608998,0.000013056792,0.000010164432,0.000007070417],"domain_scores_gemma":[0.9998858,0.000012334987,0.000041927015,0.000008598423,0.000027760841,0.000023538805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115997624,0.0002929293,0.00013336302,0.0006654948,0.00024524808,0.00043836265,0.000120202145,0.0001512587,0.00097531505],"category_scores_gemma":[0.00020588665,0.0001367368,0.00021771935,0.00090770103,0.0002776498,0.0003349351,0.00040157847,0.00013606476,0.000107181404],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000103572536,0.000013617866,0.97218025,0.00013444634,0.00010667457,0.00017941475,0.00037266742,0.00042156098,0.01650465,0.00007320304,0.00019674044,0.009713062],"study_design_scores_gemma":[0.0000020435057,0.000013202795,0.9987141,0.000007848005,0.000019296638,0.000037781847,0.00012716255,0.000273642,0.00037450055,0.00001874782,0.00040930987,0.0000024119474],"about_ca_topic_score_codex":0.050836522,"about_ca_topic_score_gemma":0.07183073,"teacher_disagreement_score":0.050836522,"about_ca_system_score_codex":0.00038960404,"about_ca_system_score_gemma":0.00054918206,"threshold_uncertainty_score":0.10108125},"labels":[],"label_agreement":null},{"id":"W2890445359","doi":"10.5194/bg-16-1281-2019","title":"Carbon cycling in the North American coastal ocean: a synthesis","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"NOAA Pacific Marine Environmental Laboratory; Natural Sciences and Engineering Research Council of Canada; Ocean Acidification Program; Lamont-Doherty Earth Observatory, Columbia University; National Oceanic and Atmospheric Administration; National Aeronautics and Space Administration; University of Miami; Hakai Institute","keywords":"Oceanography; Environmental science; Carbon sink; Arctic; Sink (geography); Carbon cycle; Latitude; Carbon flux; Exclusive economic zone; Representative Concentration Pathways; Carbon fibers; Geology; Climate change; Geography; Climate model; Ecosystem; Ecology; Fishery","score_opus":0.010549954077974082,"score_gpt":0.21053616070153816,"score_spread":0.1999862066235641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890445359","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008404538,0.9935116,0.0004182261,0.0009919895,0.00078649266,0.000017938317,0.00072096474,0.000015631596,0.002696758],"genre_scores_gemma":[0.003283346,0.99408805,0.00044319045,0.0005086553,0.0005796313,0.000032721942,0.00045824543,0.000004598676,0.000601622],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997465,0.000030443032,0.000046072415,0.000095112664,0.00006447015,0.000017304594],"domain_scores_gemma":[0.99926394,0.0002935465,0.000106163716,0.000030787927,0.00025464728,0.000050856026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069643575,0.0012144019,0.0014676948,0.0051625366,0.0005035215,0.0022406697,0.00066929084,0.0007252154,0.0050074467],"category_scores_gemma":[0.0014594552,0.0004414816,0.00091075135,0.011454976,0.00055067934,0.0020058937,0.0009783356,0.0012352985,0.0008117101],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011942989,0.0001207423,0.0032978812,0.094739296,0.00090994686,0.00018135007,0.00063823536,0.0037073663,0.0023404309,0.007747139,0.06552418,0.820674],"study_design_scores_gemma":[0.000017237842,0.00015514798,0.023184996,0.04352965,0.0012547754,0.00019944341,0.00038108684,0.0005995837,0.0004918687,0.007150515,0.922976,0.00005969851],"about_ca_topic_score_codex":0.035254396,"about_ca_topic_score_gemma":0.04433024,"teacher_disagreement_score":0.9647456,"about_ca_system_score_codex":0.0024620933,"about_ca_system_score_gemma":0.0041222083,"threshold_uncertainty_score":0.0700984},"labels":[],"label_agreement":null},{"id":"W2891073652","doi":"10.5194/bg-15-5663-2018","title":"The silicon stable isotope distribution along the GEOVIDE section (GEOTRACES GA-01) of the North Atlantic Ocean","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Regional Development Fund; Centre National de la Recherche Scientifique; Conseil Régional de Bretagne; Ministerio de Economía y Competitividad; Agence Nationale de la Recherche","keywords":"Geotraces; North Atlantic Deep Water; Oceanography; Water mass; Geology; Circumpolar deep water; Thermohaline circulation; Antarctic Intermediate Water; Hydrography; Antarctic Bottom Water; Seawater; Ocean current; Deep ocean water","score_opus":0.016157802324022447,"score_gpt":0.22936926785606315,"score_spread":0.2132114655320407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891073652","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974662,0.00007280607,0.000056060664,0.000011587498,0.0000030050053,0.0000037346356,0.0011178715,0.000008268065,0.0012603904],"genre_scores_gemma":[0.997449,0.000058292193,0.00020913297,0.0000127098565,0.0000025001573,0.0000052034648,0.0014872408,0.0000026310693,0.00077320193],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999274,0.0000063013904,0.000005065314,0.000025029693,0.000023234497,0.0000130441895],"domain_scores_gemma":[0.99981326,0.0000147229875,0.000055188913,0.000012606938,0.00007200079,0.00003222363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009409214,0.00019090033,0.00012102331,0.00080305716,0.00023875468,0.00030749876,0.00018003487,0.00018916072,0.00066083],"category_scores_gemma":[0.00015309878,0.00012132408,0.00018136481,0.0007490641,0.00017268812,0.000097907825,0.00025658045,0.000101720296,0.00017386646],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010940468,0.000011573155,0.97019035,0.00002577376,0.00007115569,0.00013499823,0.00023333657,0.00030143574,0.020001523,0.00006270617,0.00023874223,0.008619082],"study_design_scores_gemma":[0.0000014265989,0.000012891437,0.99917275,0.000002083672,0.0000034474062,0.00002144715,0.000052920255,0.00007881374,0.00022374482,0.0000037862424,0.00042574946,0.0000010562276],"about_ca_topic_score_codex":0.117563106,"about_ca_topic_score_gemma":0.319021,"teacher_disagreement_score":0.117563106,"about_ca_system_score_codex":0.0007106294,"about_ca_system_score_gemma":0.0005102426,"threshold_uncertainty_score":0.23375762},"labels":[],"label_agreement":null},{"id":"W2896806169","doi":"10.5194/bg-16-2573-2019","title":"Shifting mineral and redox controls on carbon cycling in seasonally flooded mineral soils","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":81,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; Western Economic Diversification Canada; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; National Institute of Food and Agriculture; University of Saskatchewan; Canadian Light Source; Office of Science; U.S. Department of Agriculture; U.S. Department of Energy","keywords":"Soil water; Biogeochemical cycle; Environmental science; Soil carbon; Organic matter; Biomass (ecology); Total organic carbon; Carbon cycle; Soil horizon; Environmental chemistry; Deciduous; Agronomy; Ecology; Soil science; Ecosystem; Chemistry; Biology","score_opus":0.008007668774375698,"score_gpt":0.21919663389886576,"score_spread":0.21118896512449006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896806169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998118,0.000021214664,0.000059478254,0.0000026085413,3.37621e-7,0.0000010737117,0.000039588387,0.000002140385,0.00006172132],"genre_scores_gemma":[0.99982196,0.000012128798,0.00007508871,0.0000035327491,6.030309e-7,0.0000015146003,0.00004871274,0.0000010356433,0.0000354533],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999422,0.000008193664,0.0000038774806,0.000022867003,0.0000077762425,0.000015124938],"domain_scores_gemma":[0.9998672,0.00002537567,0.000045892295,0.000007970566,0.000026597785,0.000026932517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000129766,0.00012908845,0.00014607178,0.0003030826,0.0002480763,0.00034171584,0.00015497055,0.0001254194,0.000440381],"category_scores_gemma":[0.00016918637,0.000105637286,0.000093966606,0.00024639818,0.00036136864,0.00028334552,0.0002568095,0.00013528374,0.00004118792],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062798633,0.00008775539,0.3916581,0.00007264702,0.00006845323,0.00012722304,0.00042090385,0.0006673062,0.59941036,0.00019196828,0.000061556726,0.006605717],"study_design_scores_gemma":[0.000003454037,0.00003881832,0.99473816,0.0000014669915,0.000007671869,0.000028031394,0.00015048226,0.0006232785,0.004220007,0.00008274934,0.000102776976,0.000003048229],"about_ca_topic_score_codex":0.0045944066,"about_ca_topic_score_gemma":0.0075384174,"teacher_disagreement_score":0.0045944066,"about_ca_system_score_codex":0.0003341438,"about_ca_system_score_gemma":0.00017364578,"threshold_uncertainty_score":0.0091353655},"labels":[],"label_agreement":null},{"id":"W2897026524","doi":"10.5194/bg-16-1729-2019","title":"Patterns and drivers of dimethylsulfide concentration in the northeast subarctic Pacific across multiple spatial and temporal scales","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Oceanography; Polar front; Hydrography; Continental shelf; Subarctic climate; Context (archaeology); Environmental science; Mesoscale meteorology; Transect; Salinity; Diatom; Geology","score_opus":0.009747148325921873,"score_gpt":0.21099689919857406,"score_spread":0.20124975087265218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897026524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99907744,0.00011972908,0.000038006827,0.00004196125,0.0000020980967,0.0000014140453,0.0003303213,0.0000044824624,0.00038446533],"genre_scores_gemma":[0.9992268,0.0001504392,0.00007689796,0.00001283935,0.0000037459401,0.0000032481107,0.0002977353,0.000002099443,0.00022624579],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999442,0.0000062750673,0.000004315033,0.000022301641,0.000009772327,0.000013090756],"domain_scores_gemma":[0.99964297,0.00004091304,0.00016443596,0.000017803664,0.00007409483,0.000059733993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016251032,0.0001529358,0.00014031972,0.0006658305,0.00024393236,0.000536564,0.00018776754,0.00012952741,0.0009380811],"category_scores_gemma":[0.00037164826,0.00014776194,0.0001725811,0.0009738462,0.00024036334,0.00028182066,0.00039638334,0.00019485735,0.000086180444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019203506,0.000007430263,0.9957848,0.000011232328,0.00004058684,0.00006150615,0.00020369157,0.000114083785,0.0018174208,0.00004374432,0.00009529922,0.0018008689],"study_design_scores_gemma":[2.9337517e-7,0.0000013401785,0.99966943,0.0000014999957,0.0000032696,0.000007591933,0.00012044084,0.000082215876,0.000041327265,0.0000049664013,0.00006681388,6.580281e-7],"about_ca_topic_score_codex":0.1373327,"about_ca_topic_score_gemma":0.20796567,"teacher_disagreement_score":0.1373327,"about_ca_system_score_codex":0.00060902804,"about_ca_system_score_gemma":0.0003921298,"threshold_uncertainty_score":0.27306664},"labels":[],"label_agreement":null},{"id":"W2898755935","doi":"10.5194/bg-15-6417-2018","title":"High variability of particulate organic carbon export along the North Atlantic GEOTRACES section GA01 as deduced from <sup>234</sup> Th fluxes","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Centre National de la Recherche Scientifique; Vrije Universiteit Brussel; Oregon State University; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer; Vlaamse regering; Woods Hole Oceanographic Institution","keywords":"Geotraces; Oceanography; Biogeochemical cycle; Bloom; Phytoplankton; Particulates; Flux (metallurgy); Algal bloom; Environmental science; Dominance (genetics); Water column; New production; Total organic carbon; Biogenic silica; Photic zone; Geology; Nutrient; Seawater; Chemistry; Environmental chemistry; Diatom; Biology; Ecology","score_opus":0.00998814238787318,"score_gpt":0.1904863235669719,"score_spread":0.18049818117909872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898755935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99895585,0.000042613123,0.00006002586,0.00000972944,0.0000037179504,0.0000018922851,0.0002756588,0.0000065731365,0.0006439267],"genre_scores_gemma":[0.99855906,0.000040949126,0.00019036912,0.000014003705,0.000005949651,0.0000055066903,0.00080913433,0.0000065158756,0.0003684162],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998702,0.000011247356,0.000008978376,0.000052155563,0.000030390956,0.00002702378],"domain_scores_gemma":[0.99981517,0.000020092106,0.00006126311,0.000017510747,0.00006057306,0.000025451467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020233287,0.00030738473,0.00023847395,0.0005362312,0.00038270687,0.0005899992,0.00017562245,0.00032234858,0.0005429234],"category_scores_gemma":[0.00022788595,0.00015910264,0.00022725777,0.00056521076,0.00023137515,0.00018938072,0.00037409525,0.0002036785,0.00018506052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001810031,0.000018181196,0.962851,0.000022371976,0.00009126048,0.000120388715,0.00026354362,0.00037070597,0.02988251,0.000042682666,0.00016300667,0.0059933932],"study_design_scores_gemma":[9.863619e-7,0.000006099923,0.9995235,0.0000013297022,0.0000050059593,0.0000105490835,0.000031288142,0.000084385225,0.00019886655,0.000002781834,0.00013402577,0.0000011058987],"about_ca_topic_score_codex":0.053797506,"about_ca_topic_score_gemma":0.10457699,"teacher_disagreement_score":0.053797506,"about_ca_system_score_codex":0.00080218754,"about_ca_system_score_gemma":0.00040298817,"threshold_uncertainty_score":0.10696876},"labels":[],"label_agreement":null},{"id":"W2898866290","doi":"10.5194/bg-15-6399-2018","title":"Ideas and perspectives: Tracing terrestrial ecosystem water fluxes using hydrogen and oxygen stable isotopes – challenges and opportunities from an interdisciplinary perspective","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":215,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Università degli Studi di Firenze","keywords":"Earth system science; Earth science; Environmental science; Water scarcity; Sustainability; Water resources; Groundwater; Environmental resource management; Ecology; Geology","score_opus":0.05861641263551415,"score_gpt":0.2662059811571633,"score_spread":0.20758956852164917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898866290","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008193184,0.111547254,0.009564704,0.8397354,0.034655076,0.000016146134,0.00007583453,0.000031671618,0.0035546948],"genre_scores_gemma":[0.06369001,0.21693388,0.018570628,0.59817266,0.095270425,0.00015670306,0.00014248381,0.00020700373,0.0068561076],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99164987,0.004606659,0.00040308927,0.0016554352,0.0013508581,0.0003341181],"domain_scores_gemma":[0.98014235,0.013348971,0.0008167707,0.00063326507,0.004112474,0.0009462074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.025226051,0.0013566065,0.0017091752,0.0021236066,0.0034279355,0.0067719864,0.0050999923,0.019171806,0.0026670762],"category_scores_gemma":[0.023592943,0.00048107363,0.0012668517,0.0023692495,0.028226383,0.020749774,0.005125567,0.017899765,0.0010207716],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016311418,0.000045045832,0.001273807,0.0030609292,0.00016559534,0.0010904233,0.016313992,0.0014885768,0.0033632084,0.59557503,0.29377484,0.08368543],"study_design_scores_gemma":[0.000012414207,0.000050076513,0.00045217155,0.0016986604,0.000037451173,0.00032005273,0.0076695983,0.00067787647,0.0006860302,0.41107526,0.5772266,0.000093805575],"about_ca_topic_score_codex":0.010341038,"about_ca_topic_score_gemma":0.013196685,"teacher_disagreement_score":0.025226051,"about_ca_system_score_codex":0.0060449746,"about_ca_system_score_gemma":0.008168042,"threshold_uncertainty_score":0.13340974},"labels":[],"label_agreement":null},{"id":"W2899316396","doi":"10.5194/bg-15-6387-2018","title":"Macrofaunal burrowing enhances deep-sea carbonate lithification on the Southwest Indian Ridge","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"China Ocean Mineral Resources Research and Development Association; Natural Science Foundation of Hainan Province; Tongji University; University of Alberta","keywords":"Lithification; Geology; Carbonate; Bioturbation; Seafloor spreading; Deep sea; Geochemistry; Calcite; Carbonate rock; Oceanography; Carbonate compensation depth; Paleontology; Sedimentary rock; Sediment","score_opus":0.0252740677496356,"score_gpt":0.2526978118459408,"score_spread":0.22742374409630522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899316396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995771,0.00006993368,0.000036651032,0.000013956315,0.0000014089787,9.4804153e-7,0.000039064373,0.0000048023635,0.00025617538],"genre_scores_gemma":[0.99951243,0.000044308865,0.00005489561,0.000011735083,0.0000014014021,0.0000013447867,0.000041239473,0.0000015991135,0.00033104775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999255,0.000005717953,0.0000037390694,0.000023571998,0.0000136377175,0.000027954611],"domain_scores_gemma":[0.99978405,0.000016310567,0.00007245246,0.00001572328,0.00003596878,0.00007550882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000841966,0.00018380035,0.00016763691,0.00033614234,0.0003584151,0.00036940118,0.00023798786,0.00013062921,0.0011813495],"category_scores_gemma":[0.00015891934,0.00014367382,0.00019955134,0.00023067424,0.00028005394,0.0001855832,0.0004792196,0.00024773288,0.00015526015],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039711522,0.00008181044,0.75608355,0.00007901937,0.000078972065,0.00038708124,0.00056242704,0.00025205855,0.23065777,0.00012260127,0.00019795609,0.011099624],"study_design_scores_gemma":[7.702704e-7,0.000018919707,0.9986578,0.0000019402992,0.00000692942,0.000020365143,0.00015577128,0.000090714704,0.00093802414,0.000007537792,0.00009986147,0.0000013562106],"about_ca_topic_score_codex":0.016749626,"about_ca_topic_score_gemma":0.033102192,"teacher_disagreement_score":0.016749626,"about_ca_system_score_codex":0.00025576245,"about_ca_system_score_gemma":0.00031617304,"threshold_uncertainty_score":0.033304274},"labels":[],"label_agreement":null},{"id":"W2901974395","doi":"10.5194/bg-17-757-2020","title":"Particulate trace metal dynamics in response to increased CO <sub>2</sub> and iron availability in a coastal mesocosm experiment","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Universidad de Zaragoza","keywords":"Particulates; Mesocosm; Environmental chemistry; Trace metal; Bloom; Emiliania huxleyi; Chemistry; Phytoplankton; Seawater; Microcosm; Coccolithophore; Trace element; Metal; Oceanography; Nutrient; Geology","score_opus":0.01601085266275941,"score_gpt":0.23780324451939383,"score_spread":0.2217923918566344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901974395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989022,0.00005076828,0.00033523803,0.000030790754,0.000017634426,0.00004009963,0.00037633115,0.000016280304,0.00023063798],"genre_scores_gemma":[0.9928861,0.00012788287,0.0036246893,0.00023045432,0.000020887579,0.000288406,0.0009817393,0.000020507305,0.001819477],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999642,0.00002326045,0.00002044091,0.0002172976,0.00006405582,0.000032820266],"domain_scores_gemma":[0.9995795,0.0000591265,0.00006364981,0.0000710006,0.00007338173,0.0001533806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043900014,0.0005013759,0.0010028615,0.00019116627,0.000686192,0.00057258725,0.00060118095,0.0006689264,0.00068406446],"category_scores_gemma":[0.00024882937,0.00032339117,0.0005782576,0.00025549973,0.0004404278,0.00036669982,0.0006905082,0.0012442648,0.00018811536],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022920805,0.00053740374,0.026368087,0.000060688268,0.000058375692,0.0001472178,0.00022777435,0.00088671874,0.967076,0.000054811542,0.00014581632,0.002145038],"study_design_scores_gemma":[0.0007447422,0.009070447,0.6769045,0.000025144209,0.00031863726,0.00022590264,0.00095663324,0.024365071,0.28213036,0.000303911,0.004865313,0.00008933315],"about_ca_topic_score_codex":0.01867834,"about_ca_topic_score_gemma":0.03188504,"teacher_disagreement_score":0.01867834,"about_ca_system_score_codex":0.0012407175,"about_ca_system_score_gemma":0.00071288,"threshold_uncertainty_score":0.037139237},"labels":[],"label_agreement":null},{"id":"W2903375195","doi":"10.5194/bg-16-2557-2019","title":"Carbon–water flux coupling under progressive drought","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"H2020 Research Infrastructures; Lawrence Berkeley National Laboratory; Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy; European Commission; Horizon 2020 Framework Programme; University of Virginia; Natural Resources Canada; Università degli Studi della Tuscia; Université Laval; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; Microsoft Research; National Science Foundation","keywords":"Eddy covariance; Environmental science; FluxNet; Evapotranspiration; Water-use efficiency; Ecosystem; Transpiration; Ecosystem respiration; Atmospheric sciences; Leaf area index; Water use; Soil water; Hydrology (agriculture); Soil science; Ecology; Chemistry; Photosynthesis","score_opus":0.007646209199179404,"score_gpt":0.2075446782981792,"score_spread":0.1998984690989998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903375195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989832,0.000015071273,0.0005825369,0.000012399856,0.0000016781669,0.0000033209617,0.0002035107,0.00001539254,0.00018276348],"genre_scores_gemma":[0.99976045,0.00000549421,0.00007502297,0.000002864649,6.767697e-7,0.0000027034514,0.000115333176,0.0000017921336,0.000035618734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999236,0.00001897922,0.0000049093583,0.000025282408,0.000006948559,0.000020320875],"domain_scores_gemma":[0.99976903,0.00010416166,0.00004350435,0.000019439676,0.00003582521,0.000028012413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038345295,0.0001780676,0.00024886115,0.00031107044,0.00016134614,0.0004174445,0.0001750587,0.0002644851,0.00084661326],"category_scores_gemma":[0.0007941706,0.0001193443,0.00015929969,0.0003036304,0.0001853556,0.00036207936,0.00018358877,0.00020159225,0.00006827147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013467222,0.0003522391,0.6448905,0.00011424345,0.00035640594,0.00047883432,0.0002399326,0.21362945,0.11468969,0.0016080539,0.0008709284,0.02142292],"study_design_scores_gemma":[0.000018249939,0.00010589917,0.7410793,0.0000039047786,0.000033756336,0.000069214126,0.000117105934,0.25356668,0.00406376,0.0006455743,0.00027968246,0.000016946256],"about_ca_topic_score_codex":0.0053648506,"about_ca_topic_score_gemma":0.0031848443,"teacher_disagreement_score":0.0053648506,"about_ca_system_score_codex":0.0003503781,"about_ca_system_score_gemma":0.00017940391,"threshold_uncertainty_score":0.010667264},"labels":[],"label_agreement":null},{"id":"W2903613003","doi":"10.5194/bg-15-7419-2018","title":"Biogeochemical evidence of anaerobic methane oxidation on active submarine mud volcanoes on the continental slope of the Canadian Beaufort Sea","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Agency for Marine-Earth Science and Technology; Ministry of Science and ICT, South Korea; Korea Institute of Marine Science and Technology promotion; National Research Foundation of Korea; Ministry of Oceans and Fisheries; Korea Polar Research Institute; Hanyang University; National Research Foundation","keywords":"Archaea; Anaerobic oxidation of methane; Mud volcano; Biogeochemical cycle; Environmental chemistry; Sediment; Oceanography; Sulfate; Isotopes of carbon; Cold seep; Geology; Methane; Ecology; Total organic carbon; Biology; Geochemistry; Paleontology; Chemistry; Bacteria","score_opus":0.021910622134807975,"score_gpt":0.2430392117174807,"score_spread":0.22112858958267273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2903613003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872583,0.00020657222,0.000041477488,0.000013359474,0.000001534378,0.0000033428353,0.00030710388,0.0000037053935,0.00069709716],"genre_scores_gemma":[0.9991767,0.000088650624,0.00011053707,0.000009695583,0.0000016763483,0.0000021762853,0.00032996718,0.0000014503187,0.00027922585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975425,0.000010271189,0.000006365726,0.000046031226,0.000111846006,0.00007132679],"domain_scores_gemma":[0.9997099,0.000012185822,0.0000536783,0.000007212703,0.00014646736,0.00007055509],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011807965,0.00037841543,0.00029572527,0.0012979036,0.0017346076,0.0005599075,0.0003999151,0.00022903846,0.000742671],"category_scores_gemma":[0.00023462411,0.00018593762,0.0002525137,0.0013468368,0.00050918874,0.00014674984,0.00050774426,0.000178722,0.00010946494],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017821796,0.000015099804,0.8934782,0.00008251713,0.00008048825,0.0003373379,0.0014136061,0.00025925023,0.096337594,0.000072437106,0.00019157468,0.0075535243],"study_design_scores_gemma":[6.158383e-7,0.0000070168117,0.99871933,0.0000034782208,0.0000061549104,0.000029407658,0.00033134012,0.000083961466,0.00051976833,0.0000027185538,0.0002937398,0.0000024755643],"about_ca_topic_score_codex":0.8593391,"about_ca_topic_score_gemma":0.93504506,"teacher_disagreement_score":0.14066088,"about_ca_system_score_codex":0.00295246,"about_ca_system_score_gemma":0.002732405,"threshold_uncertainty_score":0.28297848},"labels":[],"label_agreement":null},{"id":"W2904502036","doi":"10.5194/bg-16-1829-2019","title":"How representative are FLUXNET measurements of surface fluxes during temperature extremes?","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Wageningen University and Research; Australian Research Council; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; Microsoft Research; Natural Resources Canada; Université Laval; U.S. Department of Energy; Climate Extremes; National Science Foundation","keywords":"FluxNet; Latent heat; Sensible heat; Environmental science; Climatology; Atmospheric sciences; Ecosystem; Climate change; Mediterranean climate; Global warming; Eddy covariance; Geography; Ecology; Meteorology; Oceanography; Geology","score_opus":0.017906950914415798,"score_gpt":0.21629618696718092,"score_spread":0.19838923605276512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904502036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9450149,0.0010998537,0.0048791915,0.00066074,0.00011374532,0.000030329467,0.040470015,0.00032011935,0.007411082],"genre_scores_gemma":[0.9765321,0.00030676596,0.0031387846,0.00011032069,0.0001067207,0.00007007115,0.019326009,0.000079211786,0.00033007527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971131,0.0012307788,0.00033562418,0.0005895884,0.0004881597,0.00024266927],"domain_scores_gemma":[0.99180907,0.002558604,0.0027902795,0.0009800291,0.0015786225,0.00028338414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003955238,0.0004741566,0.0005719654,0.0022726755,0.00040094313,0.00221597,0.0007623858,0.0006837805,0.0012323591],"category_scores_gemma":[0.01190804,0.00029002424,0.0003961705,0.0034914333,0.00036922478,0.0025048424,0.0006747832,0.00050080416,0.000710056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011732202,0.000019022145,0.9844577,0.0001581759,0.00018330081,0.000044083496,0.00029293596,0.0015339791,0.0012672569,0.00034465553,0.0027171958,0.008864461],"study_design_scores_gemma":[0.000009453171,0.000018541201,0.9849747,0.000089245594,0.00005463268,0.00010613865,0.00046728426,0.00553453,0.0009074291,0.0004951405,0.007318603,0.0000242997],"about_ca_topic_score_codex":0.011679274,"about_ca_topic_score_gemma":0.016068045,"teacher_disagreement_score":0.011679274,"about_ca_system_score_codex":0.00047418324,"about_ca_system_score_gemma":0.00029130338,"threshold_uncertainty_score":0.023222566},"labels":[],"label_agreement":null},{"id":"W2904802586","doi":"10.5194/bg-15-7379-2018","title":"Modelling the biogeochemical effects of heterotrophic and autotrophic N <sub>2</sub> fixation in the Gulf of Aqaba (Israel), Red Sea","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Heterotroph; Diazotroph; Biogeochemical cycle; Autotroph; Oceanography; Nutrient; Water column; Nitrate; Biogeochemistry; Photic zone; Colored dissolved organic matter; Chlorophyll a; Environmental science; Carbon fixation; Estuary; Nitrogen fixation; Trichodesmium; Dissolved organic carbon; Nitrogen; Biology; Photosynthesis; Phytoplankton; Ecology; Botany; Chemistry; Geology; Bacteria","score_opus":0.012054773882577526,"score_gpt":0.1939784972584478,"score_spread":0.18192372337587026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904802586","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987766,0.00002987635,0.00050624437,0.000043447697,0.0000045839374,0.000005331124,0.000085692125,0.000015257891,0.0005329785],"genre_scores_gemma":[0.9991918,0.000030480074,0.00044673105,0.0000113992855,0.0000014932517,0.0000064812143,0.00008429023,0.000003180625,0.00022403178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999429,0.0000118265525,0.000003676225,0.000015422938,0.000007181538,0.000019000756],"domain_scores_gemma":[0.99981576,0.00008132009,0.00003364681,0.0000085530455,0.00003179285,0.000028998227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028639854,0.0006010108,0.00025802414,0.00026799567,0.0003692181,0.00088566396,0.0006126086,0.00091800507,0.0006768742],"category_scores_gemma":[0.0005032248,0.0004411369,0.0006285896,0.00024838044,0.00049589673,0.0005261811,0.00039092626,0.00044042864,0.00007557433],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009549785,0.00007286812,0.042889453,0.000022943716,0.000050479528,0.00013226627,0.00004303018,0.9511559,0.003753204,0.00028854635,0.000103289916,0.0013926212],"study_design_scores_gemma":[0.00003195224,0.00006036767,0.011719735,0.000003518565,0.000017938444,0.000009897815,0.00005471441,0.9873574,0.0005184779,0.00010578774,0.000113996786,0.0000062361305],"about_ca_topic_score_codex":0.17342992,"about_ca_topic_score_gemma":0.08847748,"teacher_disagreement_score":0.17342992,"about_ca_system_score_codex":0.0023163643,"about_ca_system_score_gemma":0.0012785138,"threshold_uncertainty_score":0.34484088},"labels":[],"label_agreement":null},{"id":"W2906038629","doi":"10.5194/bg-15-7451-2018","title":"Hydrothermal alteration of aragonitic biocarbonates: assessment of micro- and nanostructural dissolution–reprecipitation and constraints of diagenetic overprint from quantitative statistical grain-area analysis","year":2018,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Calcium Carbonate Crystallization and Inhibition","field":"Materials Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Deutsche Forschungsgemeinschaft","keywords":"Diagenesis; Calcite; Aragonite; Carbonate; Dissolution; Geology; Mineralogy; Mineral; Hydrothermal circulation; Geochemistry; Chemistry; Materials science; Paleontology; Metallurgy","score_opus":0.018044668917933434,"score_gpt":0.293147966205794,"score_spread":0.27510329728786054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906038629","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974819,0.00009687629,0.00193153,0.000005373131,0.0000016949572,0.000008250284,0.00012402594,0.000016624455,0.00033373252],"genre_scores_gemma":[0.99813986,0.00003948101,0.0015365977,0.0000020934488,9.0470365e-7,0.0000048915513,0.00011331521,0.000006645034,0.00015621001],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998746,0.000011801455,0.000012111104,0.000037116108,0.000049107868,0.000015198263],"domain_scores_gemma":[0.99974924,0.0000625837,0.00007543257,0.00003571854,0.000056645717,0.000020370648],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022789375,0.00013245687,0.0001136657,0.0002777173,0.0001239402,0.00023334088,0.00018541004,0.00013223312,0.00065923535],"category_scores_gemma":[0.0005276285,0.00017013046,0.00012038486,0.00025270157,0.0004266888,0.00011795023,0.0001517784,0.00014141957,0.00006999941],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079592886,0.000010844549,0.0068214396,0.00003787069,0.000012770692,0.00003712114,0.000042710115,0.0005798506,0.9896612,0.00006274934,0.000010671289,0.002643111],"study_design_scores_gemma":[0.000012882778,0.00026466697,0.23377025,0.000004612846,0.000029177621,0.0002338152,0.00011277575,0.012231574,0.752126,0.00012236205,0.0010770613,0.000014790531],"about_ca_topic_score_codex":0.0019315723,"about_ca_topic_score_gemma":0.004767519,"teacher_disagreement_score":0.0019315723,"about_ca_system_score_codex":0.00023800124,"about_ca_system_score_gemma":0.00015665026,"threshold_uncertainty_score":0.0038406253},"labels":[],"label_agreement":null},{"id":"W2908248855","doi":"10.5194/bg-16-4357-2019","title":"Stand age and species composition effects on surface albedo in a mixedwood boreal forest","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Boreal; Chronosequence; Albedo (alchemy); Deciduous; Environmental science; Taiga; Vegetation (pathology); Canopy; Ecology; Atmospheric sciences; Geography; Forestry; Biology; Soil water; Geology; Soil science","score_opus":0.005733496154680473,"score_gpt":0.19842174838633683,"score_spread":0.19268825223165637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908248855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996006,0.00007446146,0.00006478782,0.000003037443,0.0000016772258,0.0000032766477,0.00010775025,0.0000033978195,0.0001410943],"genre_scores_gemma":[0.9995945,0.000018494551,0.00013479995,0.0000060988555,0.0000024525832,0.000004145159,0.00016776491,0.0000013196444,0.00007038016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998172,0.000043693726,0.000015210614,0.000056389224,0.000034195236,0.000033266595],"domain_scores_gemma":[0.99908805,0.00019741063,0.00026388108,0.000064373155,0.00014112877,0.00024507823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006062519,0.00034868188,0.00027833172,0.00042540312,0.00030076457,0.00046889624,0.00026495103,0.00015952799,0.0007604307],"category_scores_gemma":[0.0005252478,0.00014083393,0.00029567876,0.00024805905,0.00023019969,0.0003356199,0.00023554823,0.00019602147,0.0001200902],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030378293,0.00011482959,0.9776154,0.00001548211,0.000059631016,0.00006239814,0.000080377635,0.00022168356,0.01899602,0.000016081447,0.000042777086,0.0024715038],"study_design_scores_gemma":[0.0000012724488,0.000052970358,0.9995161,4.8938017e-7,0.000006194666,0.000022409604,0.000021835443,0.00017182557,0.00017329713,0.0000036609338,0.00002879325,0.0000011607897],"about_ca_topic_score_codex":0.008745715,"about_ca_topic_score_gemma":0.024925195,"teacher_disagreement_score":0.008745715,"about_ca_system_score_codex":0.00037712994,"about_ca_system_score_gemma":0.00017282236,"threshold_uncertainty_score":0.017389655},"labels":[],"label_agreement":null},{"id":"W2908971356","doi":"10.5194/bg-16-57-2019","title":"Emergent relationships with respect to burned area in global satellite observations and fire-enabled vegetation models","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Technische Universität Wien Bibliothek; Technische Universität Wien; European Space Agency; Gordon and Betty Moore Foundation","keywords":"Vegetation (pathology); Environmental science; Biogeochemical cycle; Ecosystem; Climate change; Population; Precipitation; Climatology; Productivity; Forcing (mathematics); Leaf area index; Atmospheric sciences; Vegetation type; Satellite; Fire regime; Physical geography; Ecology; Geography; Meteorology; Grassland; Biology","score_opus":0.03313802737751236,"score_gpt":0.23111288603913466,"score_spread":0.1979748586616223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908971356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937185,0.000042937965,0.005652476,0.00004240467,0.0000048530173,0.0000057239154,0.00021805137,0.00004960025,0.00026552606],"genre_scores_gemma":[0.9982126,0.000016921378,0.0014224844,0.000010315814,0.0000028981576,0.0000068518802,0.0002499922,0.000010475166,0.000067488014],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998099,0.00007941654,0.000010131548,0.00005520768,0.000015763715,0.0000295749],"domain_scores_gemma":[0.9990559,0.0006000631,0.00014499815,0.00006958216,0.00007694569,0.00005255273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011865128,0.00048095582,0.00036492842,0.0004325593,0.00021833468,0.00053774257,0.0004207565,0.00048737397,0.00050279323],"category_scores_gemma":[0.002840768,0.00028514687,0.0007456079,0.00047706423,0.00039106436,0.000629257,0.00036937793,0.00046504615,0.00004723455],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039817412,0.000023427123,0.02317324,0.00001060343,0.00005779504,0.00002008596,0.000016949016,0.9743893,0.0004502673,0.00041091797,0.0000764464,0.0013311864],"study_design_scores_gemma":[0.0000048933257,0.000006761927,0.0047673555,0.0000016607282,0.0000051934076,0.0000044641088,0.0000053497315,0.99477416,0.00011469625,0.00028754145,0.000024954807,0.0000030604717],"about_ca_topic_score_codex":0.02412253,"about_ca_topic_score_gemma":0.0146443695,"teacher_disagreement_score":0.02412253,"about_ca_system_score_codex":0.00093611603,"about_ca_system_score_gemma":0.00039717526,"threshold_uncertainty_score":0.047964275},"labels":[],"label_agreement":null},{"id":"W2909508966","doi":"10.5194/bg-16-1381-2019","title":"Diurnal regulation of photosynthetic light absorption, electron transport and carbon fixation in two contrasting oceanic environments","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthesis; Carbon fixation; Phytoplankton; Electron transport chain; Photosystem II; Total inorganic carbon; Chlorophyll a; Photosynthetic efficiency; Chlorophyll fluorescence; Photochemistry; Chemistry; Environmental science; Botany; Carbon dioxide; Biology; Ecology; Nutrient","score_opus":0.004817846347091297,"score_gpt":0.1805559454960642,"score_spread":0.17573809914897293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909508966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996309,0.000049380276,0.00011200843,0.0000040290533,8.919723e-7,0.0000022504844,0.00006282942,0.0000027042513,0.00013499321],"genre_scores_gemma":[0.9993936,0.000043150205,0.00022321533,0.0000074434847,0.0000015468768,0.000008172333,0.00014946391,0.0000029957462,0.00017049303],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999566,0.000006166239,0.0000025056372,0.000017984792,0.000008220481,0.000008514158],"domain_scores_gemma":[0.9998209,0.000037648708,0.00005511859,0.000012439308,0.000035815592,0.000038208815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011577386,0.0001682419,0.00021225013,0.0002368752,0.0003142944,0.00025983443,0.00012621122,0.00013559562,0.0003173623],"category_scores_gemma":[0.00019221118,0.00018850551,0.00011375505,0.00020390605,0.00031094797,0.00014033244,0.00025106492,0.0002035818,0.000045827142],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007275951,0.00004686538,0.34383607,0.00009477763,0.000081576196,0.00025079882,0.0010130997,0.0003737858,0.64751196,0.000055865556,0.00006925805,0.00593832],"study_design_scores_gemma":[0.0000016155387,0.000029000368,0.9968837,0.0000012961315,0.0000069838716,0.000030851752,0.00012871776,0.00015228662,0.002673598,0.000009409467,0.000079818165,0.0000026678517],"about_ca_topic_score_codex":0.009106857,"about_ca_topic_score_gemma":0.016727213,"teacher_disagreement_score":0.009106857,"about_ca_system_score_codex":0.00027730878,"about_ca_system_score_gemma":0.00020427324,"threshold_uncertainty_score":0.018107653},"labels":[],"label_agreement":null},{"id":"W2910205231","doi":"10.5194/bg-17-581-2020","title":"Dissolved organic carbon mobilized from organic horizons of mature and harvested black spruce plots in a mesic boreal region","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Memorial University of Newfoundland","funders":"Natural Resources Canada","keywords":"Dissolved organic carbon; Environmental science; Throughfall; Soil water; Lysimeter; Total organic carbon; Hydrology (agriculture); Snowmelt; Black spruce; Taiga; Soil horizon; Growing season; Soil science; Surface runoff; Agronomy; Ecology; Environmental chemistry; Chemistry; Geology","score_opus":0.011715734305786148,"score_gpt":0.19815470507347785,"score_spread":0.1864389707676917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910205231","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997894,0.000015056632,0.00003528306,0.0000014954021,6.373759e-7,0.0000018708703,0.00009960671,0.0000017010749,0.00005496678],"genre_scores_gemma":[0.9994923,0.000018717963,0.00015922092,0.0000061045857,0.0000012868452,0.000004146111,0.00022447282,0.0000011062998,0.00009265405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999049,0.00001100564,0.0000071278946,0.0000468355,0.0000143368225,0.000015837802],"domain_scores_gemma":[0.999729,0.000033232525,0.000099470744,0.00001504213,0.000042062366,0.00008115522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002484671,0.00025891597,0.00018984861,0.00031666597,0.00031757267,0.00052403536,0.00023683006,0.00014819794,0.0002766254],"category_scores_gemma":[0.00018668943,0.00014567311,0.00018334473,0.0002740899,0.00026017727,0.00032967184,0.00022007567,0.00017862965,0.00005111195],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076719635,0.00017673237,0.93256307,0.000030639134,0.000093886294,0.0001195538,0.00038644994,0.00032074878,0.061559882,0.000043729022,0.000058501002,0.0038796435],"study_design_scores_gemma":[0.0000026041173,0.00005979636,0.9990638,8.387667e-7,0.0000061170535,0.00001529038,0.000097830576,0.00020076003,0.0005054365,0.0000054346774,0.000040806677,0.0000013588223],"about_ca_topic_score_codex":0.027746333,"about_ca_topic_score_gemma":0.064019054,"teacher_disagreement_score":0.027746333,"about_ca_system_score_codex":0.0004313623,"about_ca_system_score_gemma":0.0002656142,"threshold_uncertainty_score":0.055169642},"labels":[],"label_agreement":null},{"id":"W2910444738","doi":"10.5194/bg-16-2617-2019","title":"Global trends in marine nitrate N isotopes from observations and a neural network-based climatology","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":53,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University; University of South Carolina; National Central University; University of California, Irvine; McGill University; Universität Basel; Japan Agency for Marine-Earth Science and Technology; Dartmouth College; Leibniz-Gemeinschaft; Princeton University; Florida State University; Universiteit Stellenbosch; Old Dominion University; National Science Foundation","keywords":"Nitrate; Environmental science; Biogeochemical cycle; Biogeochemistry; Oceanography; δ15N; Stable isotope ratio; Ecology; Environmental chemistry; δ13C; Chemistry; Geology; Biology","score_opus":0.019800651304413584,"score_gpt":0.21516342528239382,"score_spread":0.19536277397798024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910444738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941764,0.00011030732,0.0019687375,0.00008501409,0.000022967393,0.000007638452,0.0025641585,0.00008708004,0.0009776929],"genre_scores_gemma":[0.9932648,0.000064435335,0.0026882212,0.000016026182,0.000008572652,0.000009876195,0.0035779015,0.000012150151,0.00035806958],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998996,0.000013734051,0.000008592133,0.00004625907,0.00002026504,0.000011510851],"domain_scores_gemma":[0.9996414,0.000073906995,0.00007671945,0.000029147313,0.00014997779,0.000028766199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005058899,0.00033004794,0.00017546646,0.0007370562,0.00014219695,0.0004572196,0.00023875013,0.00035582783,0.0007406983],"category_scores_gemma":[0.0009277624,0.00015966526,0.00042793568,0.0010791857,0.0001277576,0.00044086738,0.0002516324,0.0002865534,0.00022987375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020890786,0.00013287074,0.7788383,0.000101752026,0.00036291755,0.00014019902,0.000105703904,0.17775546,0.0064202724,0.00032489398,0.0021275443,0.03348106],"study_design_scores_gemma":[0.00001535666,0.000039364706,0.6456007,0.000023915918,0.0000608623,0.00003327897,0.000073752606,0.35158256,0.0015189936,0.00021478621,0.000816798,0.000019694398],"about_ca_topic_score_codex":0.038200114,"about_ca_topic_score_gemma":0.0449344,"teacher_disagreement_score":0.038200114,"about_ca_system_score_codex":0.0005991003,"about_ca_system_score_gemma":0.00033111632,"threshold_uncertainty_score":0.07595551},"labels":[],"label_agreement":null},{"id":"W2915915398","doi":"10.5194/bg-16-903-2019","title":"Examining the evidence for decoupling between photosynthesis and transpiration during heat extremes","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; University of Virginia; Natural Resources Canada; Università degli Studi della Tuscia; Université Laval; Oak Ridge National Laboratory; Biological and Environmental Research; Canadian Foundation for Climate and Atmospheric Sciences; Microsoft Research; U.S. Department of Energy; Climate Extremes; National Science Foundation","keywords":"Eddy covariance; Transpiration; Decoupling (probability); Environmental science; Latent heat; Photosynthesis; Atmospheric sciences; Sensible heat; Vapour Pressure Deficit; Evergreen; Ecosystem; Energy balance; Ecology; Botany; Meteorology; Biology; Physics","score_opus":0.053068061919834264,"score_gpt":0.24686088470546286,"score_spread":0.1937928227856286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915915398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965868,0.00036252526,0.0012438797,0.00006952573,0.000008245443,0.0000066651032,0.00062941475,0.000025858106,0.0010671903],"genre_scores_gemma":[0.9985001,0.00007687172,0.00054326054,0.000050641196,0.0000060241946,0.0000078395915,0.0007052909,0.000007495451,0.00010253742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993599,0.00016037517,0.00004942346,0.00020964057,0.00015424438,0.00006642666],"domain_scores_gemma":[0.9978446,0.0007580388,0.00065882225,0.00019487122,0.00041457673,0.00012902897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001184601,0.00015597745,0.0004270994,0.0005438964,0.00041868928,0.0007766818,0.00042801746,0.00031696953,0.0010958648],"category_scores_gemma":[0.0025573533,0.00023502464,0.0002322225,0.0008936146,0.00047654315,0.0010393913,0.00072657305,0.00046985399,0.00019728413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061186857,0.00007022891,0.9075273,0.00037491645,0.00043358462,0.000107065185,0.000884883,0.00087318616,0.071388595,0.00041189886,0.000560129,0.016756447],"study_design_scores_gemma":[0.0000022699921,0.00002624894,0.9976349,0.00000900819,0.000015829162,0.00001866642,0.00011103636,0.0005418464,0.0011292566,0.00010265592,0.00040391472,0.000004320405],"about_ca_topic_score_codex":0.0070971646,"about_ca_topic_score_gemma":0.013664913,"teacher_disagreement_score":0.0070971646,"about_ca_system_score_codex":0.00042109576,"about_ca_system_score_gemma":0.00030568565,"threshold_uncertainty_score":0.014111698},"labels":[],"label_agreement":null},{"id":"W2918655398","doi":"10.5194/bg-16-2693-2019","title":"Dissolved organic matter at the fluvial–marine transition in the Laptev Sea using in situ data and ocean colour remote sensing","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Bio-K+ International (Canada)","funders":"Sight Research UK; National Oceanic and Atmospheric Administration; Freie Universität Berlin; Bundesministerium für Bildung und Forschung; Japan Aerospace Exploration Agency; Natural Environment Research Council","keywords":"Dissolved organic carbon; Environmental science; Colored dissolved organic matter; Arctic; Ocean chemistry; Carbon cycle; SeaWiFS; Permafrost; Organic matter; Oceanography; Seawater; Geology; Ecology; Ecosystem; Biology","score_opus":0.018804730116091545,"score_gpt":0.21318435025570126,"score_spread":0.19437962013960972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918655398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985261,0.00006641412,0.00041225037,0.000020510972,0.000005319793,0.0000054686925,0.0006305214,0.000038594164,0.00029489904],"genre_scores_gemma":[0.99632746,0.00003447815,0.0012844538,0.000018677028,0.000004673254,0.000009504006,0.0021724722,0.000010214393,0.00013806013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998276,0.000032204214,0.000012988644,0.000064663014,0.000027994134,0.00003451056],"domain_scores_gemma":[0.999739,0.00006021769,0.00004936527,0.000027229093,0.00008255073,0.000041617364],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048733866,0.0005946434,0.00034608098,0.0009241143,0.0003534536,0.0008277872,0.00047729092,0.0005205192,0.00033326668],"category_scores_gemma":[0.0006231504,0.00021425904,0.000701957,0.0009984766,0.00022742686,0.00050907617,0.0005488121,0.0002974833,0.00011741227],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046923655,0.0002666765,0.8957113,0.00015569424,0.0005051864,0.00055761565,0.00043814405,0.046399537,0.02342158,0.00019095004,0.0008466608,0.03103743],"study_design_scores_gemma":[0.000060157985,0.00011572346,0.8372,0.000039582817,0.00011028212,0.000078712925,0.00056732167,0.15429176,0.0063402215,0.00012777356,0.0010296751,0.00003891336],"about_ca_topic_score_codex":0.072769605,"about_ca_topic_score_gemma":0.082391605,"teacher_disagreement_score":0.072769605,"about_ca_system_score_codex":0.0007616549,"about_ca_system_score_gemma":0.0006991516,"threshold_uncertainty_score":0.14469206},"labels":[],"label_agreement":null},{"id":"W2921225225","doi":"10.5194/bg-16-2837-2019","title":"Reviews and syntheses: Insights into deep-sea food webs and global environmental gradients revealed by stable isotope ( <i>δ</i> <sup>15</sup> N, <i>δ</i> <sup>13</sup> C) and fatty acid trophic biomarkers","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation","keywords":"Trophic level; Oceanography; Food web; Deep sea; Temperate climate; Primary producers; Environmental science; Food chain; Ecology; Climate change; Latitude; Phytoplankton; Biology; Nutrient; Geology","score_opus":0.0073546416630890475,"score_gpt":0.20241851233184466,"score_spread":0.1950638706687556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921225225","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00026250322,0.99159896,0.00031707715,0.001281239,0.002809535,0.000026329184,0.0009147917,0.000041805775,0.0027477038],"genre_scores_gemma":[0.0018959348,0.99196327,0.0009448373,0.0011308292,0.00198262,0.00010051043,0.00069101615,0.00002875221,0.0012621803],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984211,0.0003084011,0.0004583897,0.00032489325,0.00038242296,0.000104895276],"domain_scores_gemma":[0.9902913,0.006223573,0.001424982,0.0003957845,0.0014455728,0.00021880028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021030817,0.0025127502,0.0038271458,0.015110228,0.00062176096,0.0043736054,0.001378541,0.0017848376,0.022193339],"category_scores_gemma":[0.012627167,0.00084135146,0.0013125007,0.027364515,0.0010731647,0.0036798269,0.0019231753,0.0018222851,0.0059030917],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001961072,0.000064698215,0.0008082671,0.3464839,0.0010777167,0.00035722204,0.001104016,0.0010332413,0.0026579406,0.012896415,0.20700154,0.42631885],"study_design_scores_gemma":[0.000020357324,0.000036853453,0.002373981,0.057800554,0.0006623555,0.00023180395,0.0004546244,0.00010777602,0.00027816845,0.0039917217,0.933995,0.000046748555],"about_ca_topic_score_codex":0.003255083,"about_ca_topic_score_gemma":0.0043171323,"teacher_disagreement_score":0.022193339,"about_ca_system_score_codex":0.0021819647,"about_ca_system_score_gemma":0.005187603,"threshold_uncertainty_score":0.07424414},"labels":[],"label_agreement":null},{"id":"W2921414615","doi":"10.5194/bg-16-3491-2019","title":"Assessing the peatland hummock–hollow classification framework using high-resolution elevation models: implications for appropriate complexity ecosystem modeling","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service; University of Alberta; Natural Resources Canada; McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Peat; Environmental science; Transect; Digital elevation model; Elevation (ballistics); Biogeochemical cycle; Geology; Soil science; Hydrology (agriculture); Physical geography; Atmospheric sciences; Remote sensing; Ecology; Geography; Geometry","score_opus":0.11700366404435995,"score_gpt":0.318675961786641,"score_spread":0.20167229774228101,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921414615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63109976,0.00044384628,0.36362463,0.0011013068,0.00004246144,0.0001887799,0.0008842293,0.0006040709,0.002010838],"genre_scores_gemma":[0.90541506,0.000088243076,0.09369573,0.000060420596,0.000020829644,0.00007096429,0.00043445782,0.000045296892,0.00016895852],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982327,0.0011349493,0.000081127866,0.0002523021,0.00019404873,0.00010480719],"domain_scores_gemma":[0.9911583,0.0058560153,0.00092859817,0.00060747296,0.0009042883,0.0005454204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0076680267,0.0006017373,0.0009982479,0.0015199692,0.000615234,0.0028045,0.0015563027,0.00091532024,0.0006558176],"category_scores_gemma":[0.02059752,0.00040264218,0.0009852082,0.0010822121,0.0006969828,0.0021904588,0.0014962466,0.00082181796,0.00013186784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000089257206,0.00013285695,0.108078144,0.00007940123,0.0002625455,0.00006220529,0.00018684266,0.857426,0.0011912338,0.0069798096,0.00054487976,0.024966905],"study_design_scores_gemma":[0.0000046050977,0.00001278878,0.009390427,0.00001591535,0.000007176038,0.000007750089,0.0000639755,0.98737246,0.000083817016,0.0028623801,0.00016723045,0.000011386873],"about_ca_topic_score_codex":0.03248699,"about_ca_topic_score_gemma":0.04019864,"teacher_disagreement_score":0.03248699,"about_ca_system_score_codex":0.0018831249,"about_ca_system_score_gemma":0.0017351592,"threshold_uncertainty_score":0.06459576},"labels":[],"label_agreement":null},{"id":"W2922361093","doi":"10.5194/bg-16-999-2019","title":"Evidence of high N <sub>2</sub> fixation rates in the temperate northeast Atlantic","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Vlaamse regering; Centre National de la Recherche Scientifique; Labex OT-Med; Vrije Universiteit Brussel; Institut national des sciences de l'Univers; Ocean Frontier Institute; Fonds Wetenschappelijk Onderzoek; Fonds De La Recherche Scientifique - FNRS; Agence Nationale de la Recherche","keywords":"Bloom; Photic zone; Bay; Animal science; Temperate climate; Transect; Nitrogen fixation; Biology; Oceanography; Phytoplankton; Botany; Nutrient; Ecology; Geology","score_opus":0.01640624501154285,"score_gpt":0.2078800095177919,"score_spread":0.19147376450624903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922361093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855906,0.00017428085,0.000044168344,0.000021144238,0.00000402575,0.000001786295,0.00021429143,0.0000032574949,0.0009779856],"genre_scores_gemma":[0.99915135,0.00010004469,0.000119563585,0.000027805581,0.00000729179,0.000002789329,0.00025265617,0.000002099679,0.0003364567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998951,0.000011560634,0.000009257358,0.00003582358,0.000022784647,0.000025504578],"domain_scores_gemma":[0.9996624,0.000020593834,0.00015662622,0.0000122064575,0.00008662145,0.000061606435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002697164,0.00017426246,0.00019008842,0.0007013816,0.0004096155,0.00045704574,0.00016654348,0.00021388775,0.0010150161],"category_scores_gemma":[0.00021049312,0.00012798536,0.00012264289,0.00044817352,0.0002434419,0.00017872897,0.0002948525,0.00014275491,0.00018937675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009440845,0.000011224445,0.9807617,0.000020380434,0.00003536113,0.000067955836,0.00025331893,0.000056977326,0.015863456,0.00002600232,0.00008839864,0.0027207378],"study_design_scores_gemma":[5.8402e-7,0.0000045526076,0.99966824,0.0000021795872,0.0000023059192,0.000009606716,0.000063316766,0.000031772583,0.000084196065,0.000002774976,0.00012979584,7.061764e-7],"about_ca_topic_score_codex":0.097523175,"about_ca_topic_score_gemma":0.18410173,"teacher_disagreement_score":0.097523175,"about_ca_system_score_codex":0.0007769383,"about_ca_system_score_gemma":0.00036100968,"threshold_uncertainty_score":0.19391108},"labels":[],"label_agreement":null},{"id":"W2926743636","doi":"10.5194/bg-16-1401-2019","title":"Multidecadal persistence of organic matter in soils: multiscale investigations down to the submicron scale","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; University of Saskatchewan","keywords":"Illite; Clay minerals; Silt; Environmental chemistry; Soil water; Organic matter; Mineralogy; Total organic carbon; Decomposition; Chemistry; Geology; Soil science; Geomorphology","score_opus":0.016271739091905758,"score_gpt":0.20789160410043853,"score_spread":0.19161986500853276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2926743636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982559,0.0005154416,0.00041602063,0.000032895034,0.0000043750965,0.0000041364356,0.00042304193,0.00001258034,0.00033556935],"genre_scores_gemma":[0.9991524,0.00015757293,0.0002746313,0.0000139705435,0.0000053231097,0.0000063690572,0.0002674278,0.000002877211,0.00011929775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993575,0.0000040734753,0.0000021795488,0.00003336291,0.000010367499,0.000014262464],"domain_scores_gemma":[0.9998493,0.000022172415,0.00004671652,0.000013397571,0.00003805517,0.00003038661],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020328445,0.00016635271,0.0002887377,0.00047859302,0.00029484186,0.0004969368,0.00017344521,0.00028940718,0.00053992536],"category_scores_gemma":[0.00016676023,0.00008826302,0.00026417463,0.00044171078,0.00023391025,0.0004485535,0.00038662893,0.0002946058,0.00009821612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033517004,0.00014852102,0.69834834,0.00022435588,0.0004035682,0.00032218514,0.0005066867,0.0037440932,0.26983526,0.0005616019,0.00043032292,0.025139948],"study_design_scores_gemma":[0.0000033361869,0.000045204968,0.9927229,0.0000050634867,0.000032071574,0.000037914742,0.00014590561,0.0026255036,0.0032407707,0.00011431094,0.001017845,0.000009097003],"about_ca_topic_score_codex":0.010300914,"about_ca_topic_score_gemma":0.0093263695,"teacher_disagreement_score":0.010300914,"about_ca_system_score_codex":0.0005263893,"about_ca_system_score_gemma":0.00022801504,"threshold_uncertainty_score":0.020481884},"labels":[],"label_agreement":null},{"id":"W2938315278","doi":"10.5194/bg-16-1583-2019","title":"Patterns of suspended particulate matter across the continental margin in the Canadian Beaufort Sea during summer","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; University of Manitoba","funders":"Institut national des sciences de l'Univers; Natural Sciences and Engineering Research Council of Canada; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; Agence Nationale de la Recherche; ArcticNet; European Space Agency; National Aeronautics and Space Administration","keywords":"Oceanography; Meltwater; Nepheloid layer; Downwelling; Geology; Continental shelf; Particulates; Upwelling; Water mass; Water column; Environmental science; Glacial period; Geomorphology","score_opus":0.011197811008228196,"score_gpt":0.2204697590066306,"score_spread":0.2092719479984024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2938315278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959502,0.00027690805,0.00006370871,0.00008818211,0.0000086440195,0.000011451464,0.0015473637,0.000013087415,0.0020403708],"genre_scores_gemma":[0.99669755,0.00014695757,0.000196924,0.000062087514,0.0000053631434,0.000012243036,0.0013844755,0.0000059752065,0.0014884621],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99962974,0.000014915836,0.000010513203,0.000081421356,0.00015636979,0.000107070555],"domain_scores_gemma":[0.9989868,0.000031125965,0.00014651098,0.00002054783,0.00062410854,0.00019096902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002519248,0.00039627985,0.0003277033,0.0012386935,0.0024557435,0.00088950264,0.00077512354,0.00036641868,0.0011053986],"category_scores_gemma":[0.00054632727,0.00025150168,0.0003112158,0.0019064994,0.00056467205,0.0002611191,0.0005791749,0.00028318996,0.0001899933],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013136909,0.000016319853,0.98614687,0.000033755525,0.00006141773,0.00017976553,0.002077147,0.0001556333,0.0036747926,0.00006276836,0.0014676386,0.0059926384],"study_design_scores_gemma":[6.8420496e-7,0.0000051357283,0.99884963,0.0000043376745,0.0000037336968,0.000015809625,0.00039538599,0.00006296685,0.0000615988,0.0000020249,0.000594283,0.0000044166513],"about_ca_topic_score_codex":0.9876743,"about_ca_topic_score_gemma":0.99639136,"teacher_disagreement_score":0.012325704,"about_ca_system_score_codex":0.011592427,"about_ca_system_score_gemma":0.0068895374,"threshold_uncertainty_score":0.084109366},"labels":[],"label_agreement":null},{"id":"W2958228867","doi":"10.5194/bg-16-2651-2019","title":"Wildfire overrides hydrological controls on boreal peatland methane emissions","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada's Oil Sands Innovation Alliance; Shell Canada; Suncor Energy Incorporated","keywords":"Peat; Boreal; Environmental science; Greenhouse gas; Water table; Climate change; Hydrology (agriculture); Taiga; Methane; Physical geography; Atmospheric sciences; Ecology; Forestry; Geography; Geology; Groundwater","score_opus":0.011648701298069917,"score_gpt":0.238924562498295,"score_spread":0.22727586120022508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2958228867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986193,0.000062332525,0.00008223423,0.000043949694,0.0000051783745,0.0000029821476,0.00011829538,0.000010560408,0.001055253],"genre_scores_gemma":[0.9996026,0.000032340835,0.000069636175,0.000011489843,0.000003376217,0.0000016762474,0.000077539094,0.0000020556115,0.00019936253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998369,0.000020266398,0.000006300117,0.000032258864,0.00003058679,0.000073570016],"domain_scores_gemma":[0.9995372,0.000054849665,0.00009224014,0.000022636192,0.00013641572,0.00015662095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029932824,0.00017872642,0.0002050683,0.00025602255,0.0005463202,0.00065263273,0.00023098082,0.00018124554,0.0014017966],"category_scores_gemma":[0.00045658436,0.00010031068,0.0002024498,0.00022703082,0.0004899069,0.00031030682,0.00035384687,0.00023303318,0.000098112316],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041095976,0.00012544302,0.96027654,0.00005438393,0.00009299093,0.0002710249,0.00046466474,0.0022471028,0.02342875,0.0004199614,0.00065269996,0.011555439],"study_design_scores_gemma":[0.0000021814644,0.000016989774,0.99842083,0.0000042184347,0.0000069972293,0.000017080296,0.00031388772,0.00056935457,0.0002981768,0.000043689204,0.00030364693,0.000003025211],"about_ca_topic_score_codex":0.22349282,"about_ca_topic_score_gemma":0.4777229,"teacher_disagreement_score":0.22349282,"about_ca_system_score_codex":0.0016696635,"about_ca_system_score_gemma":0.0014771628,"threshold_uncertainty_score":0.44438386},"labels":[],"label_agreement":null},{"id":"W2961333978","doi":"10.5194/bg-16-2751-2019","title":"Distribution, seasonality, and fluxes of dissolved organic matter in the Pearl River (Zhujiang) estuary, China","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski; Université Laval","funders":"Natural Science Foundation of Tianjin City; Tianjin University; National Natural Science Foundation of China","keywords":"Colored dissolved organic matter; Estuary; Dissolved organic carbon; Salinity; Seasonality; Environmental science; Seawater; Oceanography; Pearl; Environmental chemistry; Hydrology (agriculture); Chemistry; Ecology; Geology; Biology; Geography","score_opus":0.006427180846599135,"score_gpt":0.18813187438118448,"score_spread":0.18170469353458535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961333978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992932,0.000093582865,0.00006171938,0.000018594827,0.0000022829172,0.00000274643,0.00029331807,0.000008256473,0.00022629599],"genre_scores_gemma":[0.9990102,0.00007496924,0.00008795137,0.000012637603,0.0000037947173,0.000006558728,0.0004933535,0.0000018859221,0.00030853777],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998493,0.000012677442,0.000018415705,0.000058596535,0.00003787941,0.000023010261],"domain_scores_gemma":[0.9997067,0.00003038923,0.00008934328,0.000013184169,0.000095348,0.000064993845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028095866,0.0002847212,0.00024504942,0.0010085665,0.00042330672,0.0005495921,0.00025115567,0.00021788426,0.0003885314],"category_scores_gemma":[0.00027450098,0.00023933155,0.00022470628,0.0014016118,0.0002966928,0.00044090502,0.00036752856,0.00015421714,0.000053624328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009211811,0.000028318269,0.9825498,0.00006784284,0.00009236204,0.00024764743,0.0005456014,0.00032488874,0.008998318,0.00007235834,0.00019549615,0.006785359],"study_design_scores_gemma":[0.0000026525927,0.0000154485,0.9992036,0.0000016851421,0.000009421008,0.00002547513,0.000108573135,0.00027473128,0.00018862063,0.00000895426,0.00015734283,0.00000341427],"about_ca_topic_score_codex":0.032912236,"about_ca_topic_score_gemma":0.052956093,"teacher_disagreement_score":0.032912236,"about_ca_system_score_codex":0.0007220226,"about_ca_system_score_gemma":0.0006358554,"threshold_uncertainty_score":0.06544131},"labels":[],"label_agreement":null},{"id":"W2962943868","doi":"10.5194/bg-17-475-2020","title":"A global end-member approach to derive <i>a</i> <sub>CDOM</sub> (440) from near-surface optical measurements","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval","funders":"Japan Aerospace Exploration Agency; National Aeronautics and Space Administration","keywords":"Colored dissolved organic matter; Arctic; Turbidity; Environmental science; Water quality; Attenuation; Attenuation coefficient; Inversion (geology); Surface water; Wavelength; Remote sensing; Geology; Physics; Optics; Chemistry; Oceanography; Nutrient","score_opus":0.03858779180054463,"score_gpt":0.21532188328823934,"score_spread":0.1767340914876947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962943868","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06871312,0.000097592165,0.92740685,0.00004964192,0.00002330694,0.00008978752,0.00034982772,0.0010985024,0.0021714836],"genre_scores_gemma":[0.29198822,0.000079591046,0.7036961,0.00007352339,0.000023869412,0.00015770063,0.0019967165,0.000324153,0.0016602752],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995734,0.000080757374,0.000029387735,0.00016573309,0.00011264911,0.000038056533],"domain_scores_gemma":[0.9993401,0.00009804886,0.000101395686,0.0001274937,0.00030346456,0.000029553563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014101624,0.0011331636,0.0005739379,0.0020899086,0.00056684465,0.0010484548,0.0008652552,0.0005761071,0.0011574114],"category_scores_gemma":[0.0017405405,0.00032079854,0.0010066273,0.0011857208,0.00042401854,0.0010130955,0.0014578347,0.00068654097,0.00079210993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003186906,0.00038148602,0.062424753,0.00023579207,0.00067962793,0.00010154936,0.00048941193,0.20741005,0.11566073,0.0067526414,0.0024005577,0.6031447],"study_design_scores_gemma":[0.000038850023,0.00019946558,0.037064116,0.000035966674,0.0002564346,0.00010619978,0.0002928877,0.8905694,0.056710463,0.005602827,0.009041414,0.000081935956],"about_ca_topic_score_codex":0.0038478533,"about_ca_topic_score_gemma":0.0056882664,"teacher_disagreement_score":0.0038478533,"about_ca_system_score_codex":0.00048560736,"about_ca_system_score_gemma":0.00097038364,"threshold_uncertainty_score":0.007650912},"labels":[],"label_agreement":null},{"id":"W2965044258","doi":"10.5194/bg-17-547-2020","title":"Spatial variations in CO <sub>2</sub> fluxes in the Saguenay Fjord (Quebec, Canada) and results of a water mixing model","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network; McGill University","keywords":"Fjord; Brackish water; Oceanography; Estuary; Seawater; Surface water; Geology; Water column; Dissolved organic carbon; Tributary; Aquifer; Sill; Hydrology (agriculture); Bottom water; Environmental science; Salinity; Groundwater; Geochemistry; Geography","score_opus":0.014064343782160761,"score_gpt":0.18394830749815733,"score_spread":0.16988396371599657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2965044258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553347,0.0000847335,0.0005746063,0.00008517968,0.000008631951,0.000016258438,0.001977208,0.00011506579,0.0016048455],"genre_scores_gemma":[0.9964301,0.00004470834,0.00077259,0.000024095052,0.0000016550142,0.00001159358,0.0018118737,0.000018939949,0.00088442955],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999143,0.000010801121,0.0000041552576,0.000027942518,0.000012402267,0.000030398412],"domain_scores_gemma":[0.99975425,0.000050754297,0.000019908088,0.000013695252,0.000114041315,0.00004733966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000248753,0.0006422624,0.00028624813,0.0004151505,0.0010366263,0.00093304535,0.0011227444,0.0006955356,0.0015443873],"category_scores_gemma":[0.00045449048,0.0002743367,0.0005460183,0.0007762223,0.00039081764,0.00025774972,0.00026276463,0.0004531905,0.00017518477],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006955479,0.00025235367,0.25876692,0.00008594527,0.00025533125,0.00051545684,0.00028242587,0.7061177,0.013807725,0.0009709997,0.0039773546,0.0142722335],"study_design_scores_gemma":[0.000096799464,0.000028759132,0.13541117,0.000014785875,0.00005584219,0.000020660764,0.00018889458,0.86173856,0.0012863127,0.0000705869,0.0010509491,0.00003664603],"about_ca_topic_score_codex":0.9876275,"about_ca_topic_score_gemma":0.97896725,"teacher_disagreement_score":0.012517317,"about_ca_system_score_codex":0.012517317,"about_ca_system_score_gemma":0.005094953,"threshold_uncertainty_score":0.090819895},"labels":[],"label_agreement":null},{"id":"W2966355989","doi":"10.5194/bg-16-4211-2019","title":"Regulation of carbon dioxide and methane in small agricultural reservoirs: optimizing potential for greenhouse gas uptake","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; University of Regina","funders":"Canada Research Chairs; University of Regina","keywords":"Greenhouse gas; Environmental science; Carbon dioxide; Hydrology (agriculture); Agriculture; Methane; Eutrophication; Water quality; Carbon sequestration; Environmental engineering; Ecology; Nutrient; Biology","score_opus":0.010045684030016497,"score_gpt":0.19874027468193725,"score_spread":0.18869459065192076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2966355989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940632,0.00010086383,0.0048274044,0.00005771605,0.000002519066,0.000012958208,0.00006556516,0.000027899492,0.0008419283],"genre_scores_gemma":[0.9991167,0.00003106551,0.0006855298,0.0000050530134,2.850212e-7,0.000004972425,0.00001852005,0.000001940184,0.00013596864],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999087,0.000018650193,0.0000031701866,0.000027621933,0.000016908023,0.000024905647],"domain_scores_gemma":[0.9998229,0.00006351994,0.00003165059,0.000011296574,0.00004393591,0.000026668002],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021321156,0.00017269535,0.00018165784,0.00011083734,0.00029833708,0.00053841807,0.00031498075,0.00015048172,0.00046982217],"category_scores_gemma":[0.00048092188,0.00009567676,0.00014921091,0.00018930182,0.00034826098,0.00031216847,0.0002471829,0.00012870523,0.00005765715],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004065473,0.00014678833,0.13427682,0.00020133835,0.00006730227,0.00017341942,0.00019599654,0.14471161,0.6874323,0.0028212564,0.00048099112,0.029085651],"study_design_scores_gemma":[0.00004547793,0.00031792236,0.18400529,0.000021732476,0.00010959486,0.00012905871,0.0009108842,0.63330615,0.17454119,0.0027826894,0.00377808,0.000051982275],"about_ca_topic_score_codex":0.054892164,"about_ca_topic_score_gemma":0.122901134,"teacher_disagreement_score":0.054892164,"about_ca_system_score_codex":0.0018064574,"about_ca_system_score_gemma":0.0013461238,"threshold_uncertainty_score":0.10914528},"labels":[],"label_agreement":null},{"id":"W2969606265","doi":"10.5194/bg-17-2021-2020","title":"Modelling nitrification inhibitor effects on N <sub>2</sub> O emissions after fall- and spring-applied slurry by reducing nitrifier NH <sub>4</sub> <sup>+</sup> oxidation rate","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Climate Change and Emissions Management Corporation","keywords":"Nitrification; Slurry; Environmental science; Nitrous oxide; Atmospheric sciences; Environmental engineering; Chemistry; Environmental chemistry; Nitrogen","score_opus":0.009657948700477356,"score_gpt":0.1901227964883625,"score_spread":0.18046484778788513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969606265","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926252,0.00050377694,0.0045208777,0.00006729907,0.000017639237,0.000048110378,0.000631527,0.00005853701,0.0015270918],"genre_scores_gemma":[0.99500835,0.00032028407,0.0037673821,0.000025813359,0.0000033414,0.000051835475,0.00043170556,0.000012609879,0.00037878775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984205,0.00005029103,0.0000126703635,0.000049551203,0.000024406258,0.000021000798],"domain_scores_gemma":[0.9994617,0.00035383404,0.000074592754,0.000022989609,0.000064708736,0.000022244585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008435176,0.00062565133,0.00050460594,0.0002524896,0.00017648799,0.0005746035,0.00092904625,0.0006917373,0.0007374405],"category_scores_gemma":[0.0010074486,0.00035997265,0.0013396925,0.0003468736,0.00018337864,0.000494768,0.0002615988,0.0004036083,0.000099901736],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000872623,0.00025301034,0.041123442,0.0006318985,0.00089611206,0.00012178124,0.000065445915,0.92642236,0.018286569,0.00062254607,0.00021061987,0.010493495],"study_design_scores_gemma":[0.00020677244,0.0008198144,0.030132191,0.000032758828,0.0007029036,0.00002363683,0.00008257842,0.9464884,0.019626271,0.0005774782,0.0012734551,0.000033701923],"about_ca_topic_score_codex":0.03679197,"about_ca_topic_score_gemma":0.031919427,"teacher_disagreement_score":0.03679197,"about_ca_system_score_codex":0.0016957928,"about_ca_system_score_gemma":0.0011809045,"threshold_uncertainty_score":0.07315564},"labels":[],"label_agreement":null},{"id":"W2969791468","doi":"10.5194/bg-17-667-2020","title":"Low methane emissions from a boreal wetland constructed on oil sand mine tailings","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; Carleton University","funders":"Syncrude","keywords":"Methane; Methanogenesis; Environmental science; Soil water; Environmental chemistry; Wetland; Tailings; Hydrology (agriculture); Chemistry; Soil science; Geology; Ecology","score_opus":0.013844329499145673,"score_gpt":0.22733291050926813,"score_spread":0.21348858101012244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969791468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998883,0.000002464941,0.000025335388,0.0000013230797,2.912869e-7,0.0000012219997,0.00002670133,0.0000017117417,0.0000526584],"genre_scores_gemma":[0.99966097,0.0000054121865,0.00016347448,0.0000020932885,6.785416e-7,0.0000020691696,0.00007513407,8.4958634e-7,0.00008938386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993944,0.000009615115,0.0000028903614,0.00001531279,0.000016823617,0.000015930165],"domain_scores_gemma":[0.99989605,0.000015695854,0.000028723874,0.0000064707137,0.000022157092,0.00003093176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011604542,0.00017174782,0.00016610562,0.00027779117,0.00047199882,0.00024199991,0.00016969076,0.00012557331,0.00023151461],"category_scores_gemma":[0.00014516036,0.0000968667,0.00013280327,0.00018945077,0.00022877546,0.00014350007,0.00019746572,0.00010941215,0.000031928663],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007448615,0.00035573888,0.7269463,0.000048410322,0.000051730312,0.0009124537,0.0006935084,0.00060959056,0.2585637,0.00004490167,0.00012708781,0.010901609],"study_design_scores_gemma":[0.0000039854663,0.0001507794,0.9939942,0.0000018194665,0.000010034398,0.0000794497,0.00024026124,0.0006973953,0.004705592,0.000008676663,0.00010407038,0.000003837796],"about_ca_topic_score_codex":0.040579125,"about_ca_topic_score_gemma":0.098190844,"teacher_disagreement_score":0.040579125,"about_ca_system_score_codex":0.00040324795,"about_ca_system_score_gemma":0.0003724026,"threshold_uncertainty_score":0.08068591},"labels":[],"label_agreement":null},{"id":"W2970156891","doi":"10.5194/bg-17-2701-2020","title":"Quantifying the contributions of riverine vs. oceanic nitrogen to hypoxia in the East China Sea","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Compute Canada","keywords":"Hypoxia (environmental); Nutrient; Biogeochemical cycle; Environmental science; China sea; Oceanography; Nitrogen; Estuary; Oxygen; Ecology; Geology; Biology; Chemistry","score_opus":0.026844328481775395,"score_gpt":0.2289593536795324,"score_spread":0.202115025197757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970156891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982632,0.00004278018,0.0011654955,0.00003098538,0.0000048673796,0.0000044218955,0.00013692594,0.000021902613,0.0003294389],"genre_scores_gemma":[0.99908805,0.000037017544,0.00057458895,0.000006105679,0.000001464839,0.000004293277,0.00014480494,0.0000046263795,0.00013908911],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99994445,0.000009292153,0.000004243528,0.000019869061,0.000009386518,0.000012686026],"domain_scores_gemma":[0.9999007,0.000026664076,0.000021998776,0.000008558668,0.000018975383,0.000023061995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022719255,0.00050335715,0.00020280336,0.00031922033,0.00026009566,0.00046803127,0.00037566756,0.00041596024,0.00041861885],"category_scores_gemma":[0.0003325434,0.00022671801,0.0005491789,0.0003467093,0.00024766912,0.0005732892,0.00045272175,0.00021351407,0.00004130525],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021778562,0.00014794678,0.3796415,0.00007348957,0.00022404581,0.00021242193,0.00011656291,0.59233177,0.018062018,0.00062342227,0.00024249249,0.00810654],"study_design_scores_gemma":[0.000027211547,0.00006982425,0.12805203,0.000007537604,0.000063448264,0.0000207655,0.00009402289,0.86817604,0.0028494736,0.00032883504,0.0002912767,0.000019503383],"about_ca_topic_score_codex":0.060139142,"about_ca_topic_score_gemma":0.04936498,"teacher_disagreement_score":0.060139142,"about_ca_system_score_codex":0.0009925081,"about_ca_system_score_gemma":0.00084277365,"threshold_uncertainty_score":0.11957818},"labels":[],"label_agreement":null},{"id":"W2970762423","doi":"10.5194/bg-16-3197-2019","title":"Technical Note: Isotopic corrections for the radiocarbon composition of CO <sub>2</sub> in the soil gas environment must account for diffusion and diffusive mixing","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Biological Sciences; U.S. Department of Energy; Office of Science; National Science Foundation","keywords":"Diffusion; Radiocarbon dating; Fractionation; Isotope; Gas composition; Soil gas; Mixing (physics); Chemistry; Environmental chemistry; Composition (language); Soil water; Environmental science; Soil science; Thermodynamics; Geology; Physics; Nuclear physics; Chromatography","score_opus":0.006437633495708375,"score_gpt":0.20945146448477134,"score_spread":0.20301383098906295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970762423","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.037584774,0.0025946673,0.7925664,0.06397623,0.069558,0.0007708164,0.0023182512,0.0076882103,0.022942504],"genre_scores_gemma":[0.15353443,0.0029425037,0.69360626,0.011619539,0.013305497,0.00073320564,0.0023546787,0.003309073,0.11859486],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99669397,0.00070883904,0.00029488426,0.000480493,0.0016583847,0.00016342464],"domain_scores_gemma":[0.98099935,0.004762051,0.0012691604,0.0039318805,0.00842366,0.0006138371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00862908,0.0014069973,0.0006449325,0.0011605745,0.0021244395,0.0015129605,0.0028670004,0.0019548584,0.015999025],"category_scores_gemma":[0.020053733,0.0006036631,0.0009913491,0.0008931648,0.002019279,0.0021609324,0.002314798,0.003368794,0.014937722],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00060483953,0.00028059198,0.015711911,0.001130356,0.00017973811,0.0050612735,0.0016545276,0.0040160455,0.24556099,0.094206,0.35500985,0.2765839],"study_design_scores_gemma":[0.000087643384,0.00036675096,0.008435236,0.0000936924,0.0002301359,0.007916987,0.0004069684,0.022176968,0.2633141,0.030833418,0.66586936,0.00026877483],"about_ca_topic_score_codex":0.005184708,"about_ca_topic_score_gemma":0.011896353,"teacher_disagreement_score":0.015999025,"about_ca_system_score_codex":0.001111522,"about_ca_system_score_gemma":0.0029773982,"threshold_uncertainty_score":0.05352205},"labels":[],"label_agreement":null},{"id":"W2971173177","doi":"10.5194/bg-17-187-2020","title":"Flux variability of phyto- and zooplankton communities in the Mauritanian coastal upwelling between 2003 and 2008","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Universität Bremen; Deutsche Forschungsgemeinschaft","keywords":"Upwelling; Oceanography; Foraminifera; Plankton; Dinoflagellate; Sediment trap; Population; Phytoplankton; Pelagic zone; Environmental science; Ecology; Geology; Biology; Water column","score_opus":0.025670303800449434,"score_gpt":0.20526844687006313,"score_spread":0.1795981430696137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971173177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99958414,0.00008238546,0.000012510878,0.00001120899,0.0000016330735,0.0000018865126,0.00017076705,0.0000020455277,0.00013348692],"genre_scores_gemma":[0.9992454,0.00008630231,0.000054602377,0.0000088099305,0.0000042720394,0.0000068444115,0.00032483108,8.94711e-7,0.00026811514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995065,0.0000050688723,0.0000060209622,0.000016389975,0.000008519957,0.000013365377],"domain_scores_gemma":[0.999759,0.000013534368,0.000119669276,0.000011753907,0.00005274145,0.00004324638],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014687765,0.0002747893,0.0001568791,0.00097513583,0.0003264703,0.0004719572,0.000221229,0.00019564056,0.0007659072],"category_scores_gemma":[0.00036981274,0.00014088806,0.00019916547,0.00089005457,0.00020188252,0.00034244717,0.00038209299,0.0001455576,0.00010193683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000047959005,0.00001391045,0.99230015,0.000023756627,0.000039173996,0.00010797623,0.0007945356,0.0000573289,0.0028539917,0.000022482029,0.00008292589,0.003655786],"study_design_scores_gemma":[5.685878e-7,0.000005261891,0.9996126,0.0000024961143,0.000004856069,0.000014361242,0.00013122451,0.000067634195,0.000059440943,0.0000017902461,0.00009893413,8.729848e-7],"about_ca_topic_score_codex":0.0666099,"about_ca_topic_score_gemma":0.13737187,"teacher_disagreement_score":0.0666099,"about_ca_system_score_codex":0.00095152605,"about_ca_system_score_gemma":0.0003143061,"threshold_uncertainty_score":0.13244438},"labels":[],"label_agreement":null},{"id":"W2971742640","doi":"10.5194/bg-17-793-2020","title":"Diel quenching of Southern Ocean phytoplankton fluorescence is related to iron limitation","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Antarctic Climate and Ecosystems Cooperative Research Centre; Natural Sciences and Engineering Research Council of Canada; Marine National Facility; University of Tasmania; Commonwealth Scientific and Industrial Research Organisation","keywords":"Photosynthesis; Phytoplankton; Chlorophyll fluorescence; Fluorometer; Photosynthetic efficiency; Environmental science; Quenching (fluorescence); Irradiance; Diel vertical migration; Chemistry; Fluorescence; Botany; Biology; Physics; Ecology; Nutrient; Optics","score_opus":0.01583791386933376,"score_gpt":0.20233325085024706,"score_spread":0.1864953369809133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971742640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988433,0.00012713061,0.0002512991,0.00002340727,0.000002166321,0.0000055360274,0.00011609059,0.000007722036,0.0006232957],"genre_scores_gemma":[0.99870074,0.00006521266,0.00021398527,0.000032489825,0.0000016480303,0.000010709461,0.00020869207,0.0000029677674,0.0007635106],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999385,0.0000076290517,0.0000032442986,0.000022842965,0.00001695922,0.000010936578],"domain_scores_gemma":[0.9998018,0.000032716627,0.00006300662,0.000018222956,0.000048690345,0.0000355179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016816829,0.0001624547,0.00019565884,0.00023573067,0.00028287992,0.00019264329,0.00013584047,0.0002808221,0.0011445011],"category_scores_gemma":[0.00021112952,0.00013436824,0.00014244136,0.00018992303,0.00030951735,0.00013418809,0.000278448,0.00038225765,0.00022817662],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027682388,0.00003926752,0.11544578,0.00008009374,0.000029601693,0.000144692,0.00024116613,0.00013993557,0.88056016,0.000077323406,0.00012144555,0.0028437665],"study_design_scores_gemma":[0.000003843616,0.00010871204,0.96824867,0.0000033869915,0.0000076087567,0.000113343274,0.000094933435,0.0003183241,0.030673774,0.000046121746,0.00037732624,0.000004104311],"about_ca_topic_score_codex":0.005356638,"about_ca_topic_score_gemma":0.004686529,"teacher_disagreement_score":0.005356638,"about_ca_system_score_codex":0.00040331236,"about_ca_system_score_gemma":0.0001545351,"threshold_uncertainty_score":0.010650933},"labels":[],"label_agreement":null},{"id":"W2971909732","doi":"10.5194/bg-16-3351-2019","title":"Changes in gross oxygen production, net oxygen production, and air-water gas exchange during seasonal ice melt in Whycocomagh Bay, a Canadian estuary in the Bras d'Or Lake system","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Cape Breton University; University of British Columbia","funders":"Office of Polar Programs; Natural Sciences and Engineering Research Council of Canada; Canadian Meteorological and Oceanographic Society; Woods Hole Oceanographic Institution","keywords":"Bay; Estuary; Hydrology (agriculture); Environmental science; Melt pond; Oceanography; Sea ice; Arctic ice pack; Geology; Sea ice thickness","score_opus":0.010566270107404524,"score_gpt":0.19087444622368147,"score_spread":0.18030817611627695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971909732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902976,0.000050481354,0.000025472664,0.000016071046,0.0000019848396,0.000005275147,0.0004647942,0.0000036843749,0.00040237687],"genre_scores_gemma":[0.9985678,0.00004996427,0.000107042026,0.000020663205,0.00000151907,0.000009960961,0.0006464658,0.0000022743066,0.00059425755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998282,0.000007210779,0.000007164189,0.00004699535,0.000056629884,0.0000537832],"domain_scores_gemma":[0.9996424,0.00002148018,0.00005078996,0.0000093054305,0.00017637777,0.00009969098],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016814168,0.00033378848,0.00028205343,0.0007503619,0.0013287365,0.00072753057,0.0004992423,0.0002824369,0.0005646979],"category_scores_gemma":[0.00035499517,0.00021116917,0.00023366125,0.0009212471,0.0006673011,0.00024433064,0.0005026878,0.0003021389,0.000096419186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020748499,0.000023635706,0.98087156,0.000029349992,0.000051762625,0.00016019563,0.0009974815,0.0003366563,0.014301092,0.000040153962,0.00027839383,0.0027021337],"study_design_scores_gemma":[0.000002163586,0.000008131158,0.99897975,0.0000025236955,0.0000064031487,0.000007326936,0.00032185178,0.00024461502,0.00023307516,0.0000030958408,0.00018822406,0.000002696671],"about_ca_topic_score_codex":0.96146345,"about_ca_topic_score_gemma":0.9860371,"teacher_disagreement_score":0.03853655,"about_ca_system_score_codex":0.010599323,"about_ca_system_score_gemma":0.0055346033,"threshold_uncertainty_score":0.07752693},"labels":[],"label_agreement":null},{"id":"W2972707271","doi":"10.5194/bg-17-963-2020","title":"Basal thermal regime affects the biogeochemistry of subglacial systems","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Waterloo; W. Garfield Weston Foundation; Polar Knowledge Canada","keywords":"Glacier; Biogeochemistry; Biogeochemical cycle; Geology; Dissolved organic carbon; Cryosphere; Oceanography; Geomorphology; Chemistry; Environmental chemistry; Sea ice","score_opus":0.018470738296721325,"score_gpt":0.2325105260667513,"score_spread":0.21403978777002997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972707271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992669,0.00017823337,0.000097122705,0.000007947463,0.000002172587,0.0000022617287,0.00009553365,0.0000063303996,0.00034356856],"genre_scores_gemma":[0.9996743,0.0000665491,0.00006342685,0.000008380712,0.0000022371432,0.0000015845699,0.000106135536,0.000002931038,0.00007436609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999311,0.000010421455,0.000004291339,0.000027941656,0.0000095984615,0.000016589178],"domain_scores_gemma":[0.9998313,0.000024726278,0.000058729187,0.000011825887,0.00003155706,0.000041791005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011447978,0.00018637019,0.00018697107,0.00047951905,0.0002783296,0.000607936,0.00013883179,0.00017368766,0.00071772706],"category_scores_gemma":[0.00017376487,0.00013041167,0.00013809532,0.00030798875,0.00030250582,0.00032422002,0.00022730241,0.00015264064,0.00011993183],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003211525,0.000049075123,0.6055666,0.00009598726,0.00013209996,0.00016320229,0.00048390878,0.0007658568,0.3851391,0.00012863343,0.00012556284,0.0070288563],"study_design_scores_gemma":[0.000001323785,0.000024519672,0.99728835,0.0000024384594,0.0000091712145,0.00002575852,0.0001375869,0.00022611115,0.0021249007,0.000021644684,0.00013629986,0.000001929164],"about_ca_topic_score_codex":0.005011801,"about_ca_topic_score_gemma":0.006543402,"teacher_disagreement_score":0.005011801,"about_ca_system_score_codex":0.00026697555,"about_ca_system_score_gemma":0.00014716812,"threshold_uncertainty_score":0.009965241},"labels":[],"label_agreement":null},{"id":"W2979869477","doi":"10.5194/bg-16-3883-2019","title":"Response of simulated burned area to historical changes in environmental and anthropogenic factors: a comparison of seven fire models","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft; Deutsches Klimarechenzentrum","keywords":"Environmental science; Fire regime; Vegetation (pathology); Global change; Climate change; Climatology; Earth system science; Environmental change; Fire history; Sensitivity (control systems); Physical geography; Environmental resource management; Meteorology; Geography; Ecology; Ecosystem; Geology","score_opus":0.02259898333113748,"score_gpt":0.24765758327792906,"score_spread":0.22505859994679156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979869477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949622,0.000120085504,0.0019549197,0.000109348795,0.000025184667,0.000035253932,0.000779206,0.0001284476,0.00188532],"genre_scores_gemma":[0.9976767,0.00006307997,0.0013025731,0.000030738905,0.0000041456187,0.000029360404,0.00064553204,0.000032636224,0.00021522188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992824,0.00032659166,0.000058604877,0.0001287476,0.00008479189,0.00011881525],"domain_scores_gemma":[0.99623066,0.002634168,0.00020356735,0.00029567623,0.0004347158,0.00020131779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00254045,0.0009979716,0.00097182655,0.0009348735,0.00042381466,0.0012477861,0.0013102856,0.0015344816,0.0009521995],"category_scores_gemma":[0.004862791,0.0005687231,0.0019269987,0.00089339924,0.00055317103,0.00086900016,0.00061875297,0.0012943514,0.00016290268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004631854,0.00014434714,0.021649314,0.00004566014,0.0003031143,0.00006317935,0.00006496761,0.9727937,0.0011991839,0.00038397202,0.00028764128,0.0026017332],"study_design_scores_gemma":[0.00010674911,0.00030526947,0.011075709,0.000017067432,0.00011246452,0.000030345142,0.00011370701,0.9852609,0.002201011,0.0004206022,0.00032163033,0.00003449874],"about_ca_topic_score_codex":0.030008936,"about_ca_topic_score_gemma":0.014298324,"teacher_disagreement_score":0.030008936,"about_ca_system_score_codex":0.0019011126,"about_ca_system_score_gemma":0.0008686574,"threshold_uncertainty_score":0.05966854},"labels":[],"label_agreement":null},{"id":"W2983771229","doi":"10.5194/bg-17-5693-2020","title":"Modelling the habitat preference of two key <i>Sphagnum</i> species in a poor fen as controlled by capitulum water content","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Centre in Green Chemistry and Catalysis","funders":"Koneen Säätiö; Academy of Finland; Itä-Suomen Yliopisto; Saastamoisen säätiö; National Science Foundation","keywords":"Sphagnum; Peat; Moss; Environmental science; Habitat; Ecology; Vegetation (pathology); Ombrotrophic; Ecosystem; Biology; Bog","score_opus":0.04187062830553504,"score_gpt":0.21781729847160544,"score_spread":0.1759466701660704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983771229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99858737,0.000014099328,0.0010112055,0.000014958943,0.0000021092421,0.0000049795785,0.00008690981,0.000021659758,0.00025669564],"genre_scores_gemma":[0.9987142,0.000011357539,0.0010388177,0.000005348961,7.605376e-7,0.0000064353517,0.00008144925,0.0000035422715,0.00013810712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999455,0.000012798834,0.000002354532,0.000017843258,0.0000048203287,0.000016719036],"domain_scores_gemma":[0.99967146,0.00017318361,0.00004214852,0.000015672438,0.00002641781,0.00007103876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002287781,0.00039907137,0.00024816548,0.00023449372,0.0003042775,0.00041101562,0.00062920066,0.0007095591,0.0007691365],"category_scores_gemma":[0.0004971284,0.00020984269,0.0004245522,0.00017809546,0.00029112515,0.0004141473,0.00028399896,0.0003248927,0.000076288634],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011175421,0.00008027758,0.036711346,0.00003275197,0.000037058093,0.00016212217,0.00004329375,0.9548551,0.0056869416,0.00020272078,0.00009832429,0.00197836],"study_design_scores_gemma":[0.0000124354065,0.000049433154,0.009250914,0.0000027138835,0.000007951649,0.000014922046,0.00004016902,0.98971844,0.0007452412,0.000072145674,0.0000793925,0.0000063062803],"about_ca_topic_score_codex":0.04349028,"about_ca_topic_score_gemma":0.037649233,"teacher_disagreement_score":0.04349028,"about_ca_system_score_codex":0.00077677844,"about_ca_system_score_gemma":0.00064818206,"threshold_uncertainty_score":0.0864743},"labels":[],"label_agreement":null},{"id":"W2984918288","doi":"10.5194/bg-17-1955-2020","title":"Vivianite formation in ferruginous sediments from Lake Towuti, Indonesia","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Leibniz-Gemeinschaft; Natural Sciences and Engineering Research Council of Canada; Universitas Sam Ratulangi; Institut Teknologi Bandung; Universitas Hasanuddin; Lembaga Ilmu Pengetahuan Indonesia; University of Bern; Universität zu Köln; Université de Genève; University of Minnesota Duluth; University of Windsor; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; University of Minnesota; Deutsche Forschungsgemeinschaft; Royal Holloway, University of London; Genome British Columbia; Brown University; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; National Science Foundation","keywords":"Diagenesis; Geology; Siderite; Geochemistry; Sediment; Biogeochemical cycle; Pore water pressure; Pyrite; Environmental chemistry; Chemistry; Geomorphology","score_opus":0.019127209284481573,"score_gpt":0.19978692537952641,"score_spread":0.18065971609504483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984918288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99916506,0.000063441345,0.000063212334,0.000009007444,9.5065235e-7,0.000004258172,0.00008004731,0.0000073008323,0.0006067771],"genre_scores_gemma":[0.9992872,0.00004993479,0.00016790636,0.000007476705,0.0000013277229,0.0000032609958,0.00012092964,0.000002713705,0.00035926522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994195,0.0000023942057,0.0000056598656,0.000018753797,0.000020069067,0.000011258982],"domain_scores_gemma":[0.999946,0.0000049524865,0.000018573714,0.000002399102,0.000015357642,0.000012625433],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000067164896,0.00025344617,0.00022666075,0.0006055027,0.0006400727,0.00045737196,0.00015364222,0.00021562271,0.00050120364],"category_scores_gemma":[0.00014190031,0.00020113184,0.00010264754,0.0004684379,0.00034672167,0.00024244378,0.00044044398,0.00015270148,0.00010433862],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003232658,0.00006295327,0.49374396,0.00024677895,0.000055828157,0.0023774512,0.003539469,0.0005721456,0.4804053,0.00015799381,0.00014023583,0.018374598],"study_design_scores_gemma":[0.000006812124,0.000043740503,0.9884771,0.000008833325,0.000014082886,0.00039698672,0.0007627348,0.0005104336,0.008871287,0.000040010127,0.00086125475,0.000006679505],"about_ca_topic_score_codex":0.024900934,"about_ca_topic_score_gemma":0.034323744,"teacher_disagreement_score":0.024900934,"about_ca_system_score_codex":0.00042997714,"about_ca_system_score_gemma":0.00038219374,"threshold_uncertainty_score":0.04951203},"labels":[],"label_agreement":null},{"id":"W2990601969","doi":"10.5194/bg-17-1557-2020","title":"Phytoplankton and dimethylsulfide dynamics at two contrasting Arctic ice edges","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Fisheries and Oceans Canada; Université du Québec à Rimouski; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet","keywords":"Dimethylsulfoniopropionate; Sea ice; Oceanography; Phytoplankton; Arctic ice pack; Environmental science; Arctic; Melt pond; Bloom; Geology; Antarctic sea ice; Ecology; Nutrient; Biology","score_opus":0.0172229132723874,"score_gpt":0.21397940249351952,"score_spread":0.19675648922113212,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990601969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994512,0.000032676846,0.00002066315,0.000004338222,0.0000010753706,0.0000020127482,0.0001575733,0.0000014330105,0.00032895643],"genre_scores_gemma":[0.9989022,0.000045697576,0.0001298802,0.000012482066,0.000001398267,0.000004132432,0.0005369177,0.0000018896355,0.00036530528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990976,0.0000036711283,0.0000026728792,0.000026973174,0.00002020785,0.000036725167],"domain_scores_gemma":[0.99986696,0.000009086418,0.000020416948,0.0000029779562,0.00005995034,0.000040611885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010288321,0.0002360737,0.00023136854,0.0005777502,0.0008585619,0.000640004,0.00019481611,0.00024696524,0.0004606452],"category_scores_gemma":[0.0001356317,0.00014685428,0.00021713349,0.0005206577,0.00037752147,0.0002133482,0.0003874215,0.00022150656,0.000091489106],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000735297,0.00006417507,0.8879325,0.00005497409,0.00006150697,0.00031850053,0.0015788286,0.0006669344,0.102915056,0.00013211719,0.00018677265,0.005353278],"study_design_scores_gemma":[0.0000015330082,0.000023494673,0.9974497,0.0000032256428,0.000008423782,0.000015732112,0.00074515713,0.00026380387,0.0012703286,0.000008386844,0.0002061476,0.000003987295],"about_ca_topic_score_codex":0.37855873,"about_ca_topic_score_gemma":0.59614146,"teacher_disagreement_score":0.37855873,"about_ca_system_score_codex":0.0023216973,"about_ca_system_score_gemma":0.00114763,"threshold_uncertainty_score":0.7527105},"labels":[],"label_agreement":null},{"id":"W2991618959","doi":"10.5194/bg-16-4535-2019","title":"Comparisons of dissolved organic matter and its optical characteristics in small low and high Arctic catchments","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Horizon 2020; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; Natural Sciences and Engineering Research Council of Canada; Helmholtz Association; Studienstiftung des Deutschen Volkes; ArcticNet; Aurora Research Institute","keywords":"Colored dissolved organic matter; Dissolved organic carbon; Permafrost; Environmental science; Arctic; Arctic vegetation; Total organic carbon; Organic matter; Biogeochemical cycle; Hydrology (agriculture); Water quality; Oceanography; Tundra; Environmental chemistry; Ecology; Chemistry; Geology; Phytoplankton; Nutrient","score_opus":0.02575715266439169,"score_gpt":0.22612337682331946,"score_spread":0.20036622415892777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991618959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995246,0.00003400892,0.00007088852,0.000003953953,6.7173073e-7,0.0000028195716,0.00011971482,0.0000023094635,0.00024096291],"genre_scores_gemma":[0.99947995,0.00002800143,0.00014961245,0.0000054166944,0.0000016817738,0.0000045158754,0.00020235847,0.0000016918424,0.00012680418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981934,0.00003200616,0.000010426275,0.00004373288,0.00004777744,0.000046781188],"domain_scores_gemma":[0.9995303,0.00008814229,0.000091310176,0.000014732332,0.000172094,0.000103524544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031299394,0.00019907395,0.00023520151,0.0009300613,0.00069702737,0.00067895296,0.0001919555,0.00015051989,0.00048589677],"category_scores_gemma":[0.00048369137,0.00010527055,0.00016107422,0.0013091187,0.0003256475,0.0001738837,0.00034195636,0.00013093263,0.00008975111],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010594235,0.000033941684,0.9915276,0.00001584132,0.000031262043,0.00006668021,0.00029794613,0.000120333716,0.004572009,0.000030678468,0.00005520739,0.0031425403],"study_design_scores_gemma":[0.0000020600235,0.000010407409,0.9990576,0.0000017057977,0.00000927547,0.00002397756,0.00025541257,0.00022598365,0.0002989107,0.00000792331,0.00010531388,0.0000014010008],"about_ca_topic_score_codex":0.19603391,"about_ca_topic_score_gemma":0.24699889,"teacher_disagreement_score":0.19603391,"about_ca_system_score_codex":0.001113724,"about_ca_system_score_gemma":0.00060674816,"threshold_uncertainty_score":0.3897857},"labels":[],"label_agreement":null},{"id":"W2992263131","doi":"10.5194/bg-16-4613-2019","title":"Effects of leaf length and development stage on the triple oxygen isotope signature of grass leaf water and phytoliths: insights for a proxy of continental atmospheric humidity","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Phytolith; Isotopes of oxygen; δ18O; Transect; Fractionation; Relative humidity; Isotope analysis; Stable isotope ratio; Environmental chemistry; Atmospheric sciences; Environmental science; Chemistry; Botany; Geology; Biology; Ecology; Geochemistry; Geography; Physics","score_opus":0.012744415284851932,"score_gpt":0.21873634361051758,"score_spread":0.20599192832566565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2992263131","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99846554,0.00038898623,0.0007155803,0.000023073631,0.0000030381839,0.0000031538168,0.00011900797,0.000009030758,0.00027251252],"genre_scores_gemma":[0.9989097,0.00010660406,0.0005562659,0.00003199253,0.0000018971722,0.00000592079,0.00013031827,0.000009866426,0.00024746172],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99993324,0.000016652206,0.000003863593,0.000026957734,0.0000104990895,0.0000088286],"domain_scores_gemma":[0.9997427,0.00011288986,0.00004598015,0.00003777278,0.00002040639,0.000040211333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021963129,0.00021131056,0.00020876742,0.000119729004,0.00013261927,0.00018369961,0.00014605951,0.00015697263,0.0007466164],"category_scores_gemma":[0.00021615789,0.00012429467,0.00024576447,0.00007271843,0.00015813104,0.00017996828,0.00019164024,0.0003002194,0.000112569905],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018088157,0.000013632145,0.010439074,0.000034900717,0.00002195657,0.000022268438,0.00003387303,0.00018381646,0.9864092,0.000034047793,0.000019392948,0.0026069228],"study_design_scores_gemma":[0.000013829825,0.00050471193,0.793416,0.00000841081,0.00007916487,0.00009895232,0.00011082736,0.004519881,0.19983254,0.00012419772,0.0012694102,0.000022147344],"about_ca_topic_score_codex":0.0016506724,"about_ca_topic_score_gemma":0.002846049,"teacher_disagreement_score":0.0016506724,"about_ca_system_score_codex":0.0002129042,"about_ca_system_score_gemma":0.00009321683,"threshold_uncertainty_score":0.0032821894},"labels":[],"label_agreement":null},{"id":"W2993089090","doi":"10.5194/bg-17-4173-2020","title":"Carbon–concentration and carbon–climate feedbacks in CMIP6 models and their comparison to CMIP5 models","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":661,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Max-Planck-Gesellschaft; Natural Environment Research Council; Sight Research UK","keywords":"Coupled model intercomparison project; Environmental science; Climate model; Climatology; Carbon fibers; Climate change; Carbon cycle; Greenhouse gas; Atmospheric sciences; Earth system science; Geology; Mathematics; Oceanography; Ecosystem","score_opus":0.01985300488692012,"score_gpt":0.21648040860918383,"score_spread":0.1966274037222637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993089090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819728,0.00052648294,0.0037156828,0.00045807924,0.00008436949,0.000036268146,0.006787256,0.0008122022,0.0056068497],"genre_scores_gemma":[0.9931237,0.00017977998,0.0022211366,0.00006252653,0.000019631027,0.000042161806,0.0038577546,0.000108592314,0.00038465572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99954176,0.00017483544,0.0000382097,0.00010664598,0.000085143074,0.000053375723],"domain_scores_gemma":[0.9979716,0.001054569,0.00018647156,0.00019261589,0.00047689624,0.00011785832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019924622,0.0013623643,0.0005145261,0.00082704925,0.00040402848,0.0008756045,0.0012529716,0.001146984,0.0020577495],"category_scores_gemma":[0.0043226043,0.0006397003,0.0012080738,0.001409175,0.00033122022,0.0010024374,0.0005471733,0.0008050926,0.00040883155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034258462,0.000066967594,0.035856992,0.00013008107,0.00033605684,0.0000761497,0.00006388149,0.9549657,0.0015698166,0.00078117184,0.0018088125,0.0040017227],"study_design_scores_gemma":[0.00015244882,0.00008940543,0.023810297,0.000027163038,0.000104027415,0.00003836397,0.00005283852,0.97133046,0.0022209748,0.00070222927,0.0014198151,0.000051948493],"about_ca_topic_score_codex":0.047840063,"about_ca_topic_score_gemma":0.020651365,"teacher_disagreement_score":0.047840063,"about_ca_system_score_codex":0.0014853113,"about_ca_system_score_gemma":0.0006992442,"threshold_uncertainty_score":0.09512317},"labels":[],"label_agreement":null},{"id":"W2994859658","doi":"10.5194/bg-16-4719-2019","title":"Experimental tests of water chemistry response to ornithological eutrophication: biological implications in Arctic freshwaters","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Acadia University; Université du Québec à Chicoutimi; Environment and Climate Change Canada","funders":"Arctic Goose Joint Venture; Environment and Climate Change Canada","keywords":"Goose; Ecology; Nutrient; Eutrophication; Environmental science; Phytoplankton; Arctic; Ecosystem; Aquatic ecosystem; Biology; Oceanography","score_opus":0.021440951120523428,"score_gpt":0.23901913566705646,"score_spread":0.21757818454653302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994859658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986047,0.00007506778,0.00043128117,0.00002270142,0.00002011764,0.000115686475,0.00015469019,0.0000136880135,0.00056207925],"genre_scores_gemma":[0.992471,0.0001886348,0.0030405207,0.0001826624,0.000025632578,0.00070670835,0.00041616874,0.00002407834,0.0029445633],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99940956,0.000119169694,0.000061469385,0.00014421254,0.00015883695,0.00010681161],"domain_scores_gemma":[0.99891305,0.00015400597,0.00023793434,0.00009834571,0.00019073379,0.00040595877],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044482748,0.00061324827,0.00046594156,0.0002850936,0.00075987546,0.00041548902,0.0003851703,0.00059806794,0.0012584452],"category_scores_gemma":[0.00059849647,0.00036061255,0.0004269274,0.0002957351,0.0008668581,0.00035936423,0.0006901957,0.0013250881,0.00015081844],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0076294863,0.0028551535,0.013749149,0.00012256982,0.000086889995,0.000113245536,0.00043330938,0.00045852677,0.97083426,0.00011972662,0.000079016594,0.003518639],"study_design_scores_gemma":[0.000715901,0.064058065,0.23399001,0.000030395051,0.00037925466,0.00020734614,0.00077704206,0.004307764,0.6919443,0.00045920353,0.0030246421,0.00010606689],"about_ca_topic_score_codex":0.011538065,"about_ca_topic_score_gemma":0.01558983,"teacher_disagreement_score":0.011538065,"about_ca_system_score_codex":0.0009910449,"about_ca_system_score_gemma":0.0013807229,"threshold_uncertainty_score":0.022941828},"labels":[],"label_agreement":null},{"id":"W2996072684","doi":"10.5194/bg-16-4815-2019","title":"Trees do not always act their age: size-deterministic tree ring standardization for long-term trend estimation in shade-tolerant trees","year":2019,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Ministry of Natural Resources and Forestry","keywords":"Standardization; Tree (set theory); Dendrochronology; Term (time); Basal area; Computer science; Shade tolerance; Statistics; Estimation; Mathematics; Ecology; Biology; Engineering","score_opus":0.025994677901701686,"score_gpt":0.26658829048713767,"score_spread":0.240593612585436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996072684","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53025454,0.00025575137,0.46755788,0.00011923525,0.000056009983,0.00004850173,0.00035937282,0.0007293806,0.00061935553],"genre_scores_gemma":[0.9185454,0.00010385438,0.08020475,0.00003445576,0.000021708172,0.0000537893,0.0006584633,0.000117868425,0.00025959424],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991654,0.00039710422,0.000052877436,0.00023098582,0.00010742176,0.00004620223],"domain_scores_gemma":[0.9945986,0.0025876882,0.0010723306,0.0010078462,0.00055729353,0.00017629199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050251465,0.0004200273,0.00042429648,0.0007978031,0.00033338362,0.00065060967,0.00090864726,0.00041150412,0.0004692359],"category_scores_gemma":[0.012055404,0.00030659803,0.0008103808,0.0009285215,0.00047579288,0.00088456465,0.0005820265,0.0005798728,0.00014107075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038696683,0.00013754051,0.35207275,0.00014204651,0.0004931724,0.00016965401,0.00041750848,0.47075298,0.009982374,0.009146882,0.0016233618,0.1546748],"study_design_scores_gemma":[0.000017208706,0.00004958043,0.05505336,0.000017694016,0.000056616533,0.000066435416,0.00004511453,0.9375118,0.002636421,0.0034782474,0.0010293484,0.000038156253],"about_ca_topic_score_codex":0.009203733,"about_ca_topic_score_gemma":0.010669495,"teacher_disagreement_score":0.009203733,"about_ca_system_score_codex":0.0005453673,"about_ca_system_score_gemma":0.00095206295,"threshold_uncertainty_score":0.026575863},"labels":[],"label_agreement":null},{"id":"W2996317202","doi":"10.5194/bg-17-515-2020","title":"The carbon footprint of a Malaysian tropical reservoir: measured versus modelled estimates highlight the underestimated key role of downstream processes","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bureau de Coopération Interuniversitaire; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie; Sarawak Energy","keywords":"Environmental science; Greenhouse gas; Methane; Outflow; Flux (metallurgy); Atmospheric sciences; Hydrology (agriculture); Carbon dioxide; Carbon footprint; Upstream and downstream (DNA); Upstream (networking); Geology; Chemistry","score_opus":0.017486037181064316,"score_gpt":0.213452322529107,"score_spread":0.1959662853480427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996317202","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487525,0.00025337082,0.0020884892,0.000059000522,0.0000051889992,0.000006244395,0.0010966543,0.00004452175,0.0015711462],"genre_scores_gemma":[0.9984806,0.00013758085,0.0009048068,0.000004667871,0.0000013749336,0.0000046452983,0.0002902344,0.00000739802,0.00016865636],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999281,0.000013242465,0.000006181313,0.000024495735,0.000014544279,0.000013397222],"domain_scores_gemma":[0.99982125,0.00005764516,0.000027916905,0.000025935895,0.000053637454,0.000013629821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024454622,0.0003689915,0.00017589612,0.000388919,0.00019181427,0.00052184716,0.00025610044,0.0002772641,0.0008351213],"category_scores_gemma":[0.00034543296,0.0001463224,0.00026207187,0.00075183995,0.00018311621,0.0009985038,0.0002718538,0.00025249686,0.0001386799],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028618486,0.000117607386,0.6357018,0.00062010536,0.0002997896,0.00056181673,0.00050067034,0.26562643,0.034698654,0.0013739676,0.00081807404,0.059394926],"study_design_scores_gemma":[0.00001653974,0.00015556157,0.61137295,0.00015737503,0.00015214304,0.0003426789,0.0009365465,0.35326734,0.027557278,0.0008440059,0.0051190597,0.00007855957],"about_ca_topic_score_codex":0.020167097,"about_ca_topic_score_gemma":0.028846124,"teacher_disagreement_score":0.020167097,"about_ca_system_score_codex":0.00065401057,"about_ca_system_score_gemma":0.00045985353,"threshold_uncertainty_score":0.040099442},"labels":[],"label_agreement":null},{"id":"W2998059500","doi":"10.5194/bg-17-4571-2020","title":"Mineralization of organic matter in boreal lake sediments: rates, pathways, and nature of the fermenting substrates","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Anoxic waters; Hypolimnion; Organic matter; Methanogenesis; Biogeochemical cycle; Environmental chemistry; Mineralization (soil science); Dissolved organic carbon; Carbon cycle; Sediment; Fermentation; Total organic carbon; Methane; Chemistry; Geology; Ecosystem; Soil science; Ecology; Nutrient; Biology; Eutrophication; Geomorphology","score_opus":0.009607339514184809,"score_gpt":0.20613143322697888,"score_spread":0.19652409371279408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998059500","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994209,0.00007300477,0.00019941908,0.000013034945,0.0000010794901,0.000004127864,0.00015179529,0.0000073485166,0.00012943409],"genre_scores_gemma":[0.99950933,0.000047823338,0.00021832202,0.000004060601,8.63661e-7,0.0000030903977,0.00016109298,0.0000020173834,0.00005350798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998815,0.000019014145,0.000012184707,0.00004665831,0.000017007833,0.000023595792],"domain_scores_gemma":[0.9998561,0.000034917757,0.00004736756,0.000009985385,0.000029594268,0.00002203538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036097784,0.0004893267,0.00023135045,0.00044732503,0.00039576585,0.00079055043,0.000287335,0.00038775842,0.0002420546],"category_scores_gemma":[0.00047044802,0.00020078926,0.0004077748,0.00049629016,0.000350535,0.00055427913,0.0003541371,0.00018281004,0.000038074337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066134107,0.00017567634,0.7647072,0.00023423342,0.0002222965,0.00024252747,0.00031013935,0.078372255,0.14541817,0.0003643735,0.00016116418,0.009130603],"study_design_scores_gemma":[0.000032804917,0.00021166564,0.90371776,0.000013451856,0.00006711396,0.000046477973,0.00028351642,0.08576661,0.009276679,0.00022285123,0.00033250588,0.00002854384],"about_ca_topic_score_codex":0.045085352,"about_ca_topic_score_gemma":0.03852819,"teacher_disagreement_score":0.045085352,"about_ca_system_score_codex":0.0012507418,"about_ca_system_score_gemma":0.0005696081,"threshold_uncertainty_score":0.0896458},"labels":[],"label_agreement":null},{"id":"W2999289867","doi":"10.5194/bg-17-1745-2020","title":"Impact of ambient conditions on the Si isotope fractionation in marine pore fluids during early diagenesis","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Bundesministerium für Bildung und Forschung","keywords":"Authigenic; Terrigenous sediment; Geology; Diagenesis; Dissolution; Pore water pressure; Biogenic silica; Anoxic waters; Hydrothermal circulation; Mineralogy; Geochemistry; Sediment; Oceanography; Chemistry; Sedimentary rock; Geomorphology","score_opus":0.016638340177609616,"score_gpt":0.2282620540522481,"score_spread":0.21162371387463846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999289867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995215,0.000057437486,0.00007245298,0.0000049586956,0.0000012359577,0.0000015040349,0.00010815434,0.0000046775704,0.00022805965],"genre_scores_gemma":[0.99972147,0.0000278383,0.00006701667,0.000003456188,7.315358e-7,0.0000018977762,0.00009740867,0.0000021890567,0.000077978526],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992514,0.000006004867,0.000004710937,0.000037189737,0.0000143963025,0.0000124378885],"domain_scores_gemma":[0.99993,0.000016752803,0.000015988124,0.000004832742,0.000016660475,0.000015745174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112208625,0.00024080904,0.00017737622,0.00018851648,0.00029144704,0.0005198335,0.00015216239,0.0001877881,0.00046017626],"category_scores_gemma":[0.00013833056,0.00017582586,0.00012067611,0.000098756784,0.00028116044,0.00022321728,0.00024368505,0.00016059482,0.000059013444],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054071756,0.000044504566,0.2224431,0.00006597627,0.00007991936,0.00017104116,0.00027530245,0.0007387365,0.7694073,0.00010607848,0.00009222836,0.006035208],"study_design_scores_gemma":[0.000006946679,0.000106026535,0.9698824,0.0000038123223,0.000017370863,0.000026207194,0.00018200369,0.0013060537,0.028059382,0.00003238858,0.00037123106,0.000006178051],"about_ca_topic_score_codex":0.019747201,"about_ca_topic_score_gemma":0.02337789,"teacher_disagreement_score":0.019747201,"about_ca_system_score_codex":0.0004715698,"about_ca_system_score_gemma":0.00025832836,"threshold_uncertainty_score":0.0392645},"labels":[],"label_agreement":null},{"id":"W3000424821","doi":"10.5194/bg-17-5539-2020","title":"Particulate rare earth element behavior in the North Atlantic (GEOVIDE cruise)","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"Mesopelagic zone; Particulates; Oceanography; Photic zone; Geotraces; Nitrate; Seawater; Pelagic zone; Remineralisation; Geology; Diatom; Environmental science; Environmental chemistry; Chemistry; Phytoplankton; Nutrient","score_opus":0.024535918479529312,"score_gpt":0.21686085981462938,"score_spread":0.19232494133510006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000424821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867237,0.00008149588,0.00005199456,0.000011192914,0.0000030024535,0.000003450221,0.0005326401,0.000005763251,0.000638112],"genre_scores_gemma":[0.99688464,0.000095176,0.00021551934,0.00002474102,0.000005040816,0.000007546794,0.0017065437,0.000007185204,0.001053633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991834,0.0000039314345,0.0000034005368,0.000027387698,0.00003190805,0.000014873261],"domain_scores_gemma":[0.9998771,0.000009571435,0.000037400565,0.000007608066,0.000046817902,0.000021415426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000115062,0.00024309907,0.00018964308,0.00051095756,0.00041354372,0.0003746311,0.00019911893,0.00035786798,0.00066939165],"category_scores_gemma":[0.00020210825,0.00016378329,0.00020855514,0.00032797336,0.00017861347,0.00018501111,0.00035976683,0.00020930036,0.0001888702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004161901,0.000039581082,0.87360084,0.000057564328,0.00010717757,0.00035871347,0.00071958464,0.0003260293,0.116391495,0.000037321395,0.0003305501,0.0076149045],"study_design_scores_gemma":[0.0000011784601,0.00002413271,0.99895775,0.0000029805249,0.000004028944,0.0000246977,0.00008623625,0.000056321842,0.0005873115,0.0000022018341,0.00025111347,0.0000019749182],"about_ca_topic_score_codex":0.098462425,"about_ca_topic_score_gemma":0.2611175,"teacher_disagreement_score":0.098462425,"about_ca_system_score_codex":0.0005720984,"about_ca_system_score_gemma":0.000264223,"threshold_uncertainty_score":0.19577861},"labels":[],"label_agreement":null},{"id":"W3004697769","doi":"10.5194/bg-17-2987-2020","title":"Is there warming in the pipeline? A multi-model analysis of the Zero Emissions Commitment from CO <sub>2</sub>","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":240,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Victoria; Simon Fraser University; Concordia University; St. Francis Xavier University","funders":"Fondo Nacional de Desarrollo Científico y Tecnológico; Australian Research Council; Natural Sciences and Engineering Research Council of Canada; Centro Svizzero di Calcolo Scientifico; Russian Science Foundation; University of Melbourne; National Supercomputing Centre Singapore; U.S. Department of Energy; European Commission; Leverhulme Trust; National Science Foundation; Compute Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Met Office; Simon Fraser University; Norges Forskningsråd; Russian Foundation for Basic Research; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Zero (linguistics); Chemistry; Ampere; Zero emission; Endocrinology; Environmental science; Internal medicine; Thermodynamics; Physics; Medicine; Ecology; Biology","score_opus":0.02639849462788274,"score_gpt":0.24555305142613765,"score_spread":0.2191545567982549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004697769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99151236,0.00016377638,0.00301608,0.0009213612,0.000035773326,0.000025039439,0.0004967599,0.00009953644,0.0037292682],"genre_scores_gemma":[0.99761873,0.000046619054,0.0012405941,0.000089628804,0.000009884875,0.00002446836,0.00033259692,0.000043458043,0.00059406454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976736,0.000116829346,0.0000073478404,0.000036242054,0.00001683398,0.000055334996],"domain_scores_gemma":[0.9983347,0.0011560762,0.00012283308,0.00009673394,0.00014885314,0.00014084777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015649087,0.0006492433,0.00065679115,0.00049786863,0.00069970044,0.0009983738,0.0009036715,0.0011461077,0.0024797395],"category_scores_gemma":[0.002956587,0.00036423348,0.0017421253,0.00043849682,0.0007363437,0.0012389808,0.00084403617,0.0014906299,0.0001222564],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036131896,0.0001232961,0.016223159,0.00006539712,0.00021104714,0.00013271043,0.00006704912,0.97279614,0.001002405,0.00510833,0.0012787387,0.002630303],"study_design_scores_gemma":[0.000059829854,0.000119744014,0.005224832,0.000008818635,0.00006755718,0.000008773681,0.00008672147,0.9915359,0.00031884536,0.0021459085,0.00040551432,0.00001749095],"about_ca_topic_score_codex":0.036221154,"about_ca_topic_score_gemma":0.021272575,"teacher_disagreement_score":0.036221154,"about_ca_system_score_codex":0.0019543068,"about_ca_system_score_gemma":0.0011821784,"threshold_uncertainty_score":0.07202065},"labels":[],"label_agreement":null},{"id":"W3004931191","doi":"10.5194/bg-17-5149-2020","title":"Biogeochemical evidence of anaerobic methane oxidation and anaerobic ammonium oxidation in a stratified lake using stable isotopes","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Technische Universität München; Deutsche Forschungsgemeinschaft","keywords":"Anaerobic oxidation of methane; Anammox; Methane; Denitrification; Environmental chemistry; Nitrate; Chemistry; Ammonium; Biogeochemical cycle; Nitrite; Water column; Nitrification; Nitrogen cycle; Environmental science; Nitrogen; Denitrifying bacteria; Oceanography; Geology","score_opus":0.04322004237118997,"score_gpt":0.26042028734235345,"score_spread":0.21720024497116347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004931191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99957436,0.00003509645,0.00008004505,0.000006376476,4.512834e-7,0.0000012304741,0.00008503671,0.000005820262,0.0002116615],"genre_scores_gemma":[0.9994547,0.000021387994,0.0001475279,0.0000050651406,8.118296e-7,0.00000288793,0.00015892851,0.0000013578638,0.00020730222],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999478,0.0000054652087,0.0000037059099,0.000014417513,0.000013654575,0.000014897946],"domain_scores_gemma":[0.9999399,0.0000073099577,0.000016283358,0.000002150481,0.000016157936,0.000018112916],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007406925,0.00019310138,0.00018635968,0.00059454795,0.0004125605,0.00035576712,0.00016946456,0.00025580416,0.0005699633],"category_scores_gemma":[0.00008883213,0.0002189551,0.000106402586,0.00039238183,0.00029679574,0.0001846671,0.00034011906,0.00009798684,0.00008661107],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000416395,0.000046053225,0.2932221,0.000061988474,0.00006138413,0.00015200369,0.0006533475,0.00044525714,0.70142883,0.00013671444,0.00007265809,0.0033033006],"study_design_scores_gemma":[0.000018289393,0.00012508227,0.9749365,0.0000043833634,0.00004206037,0.00007649174,0.00041398077,0.0027927386,0.020972924,0.00007094212,0.0005377431,0.000008785512],"about_ca_topic_score_codex":0.021515213,"about_ca_topic_score_gemma":0.026230998,"teacher_disagreement_score":0.021515213,"about_ca_system_score_codex":0.0005395843,"about_ca_system_score_gemma":0.00036031447,"threshold_uncertainty_score":0.042779982},"labels":[],"label_agreement":null},{"id":"W3005905207","doi":"10.5194/bg-17-4421-2020","title":"Vegetation influence and environmental controls on greenhouse gas fluxes from a drained thermokarst lake in the western Canadian Arctic","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; University of British Columbia","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Thermokarst; Eddy covariance; Tundra; Environmental science; Arctic; Growing season; Ecosystem respiration; Hydrology (agriculture); Atmospheric sciences; Vapour Pressure Deficit; Vegetation (pathology); Ecosystem; Physical geography; Oceanography; Ecology; Geology; Transpiration; Photosynthesis; Geography; Chemistry","score_opus":0.023459328534844358,"score_gpt":0.20427730004726138,"score_spread":0.18081797151241702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005905207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99933547,0.00004190114,0.000022559436,0.000023620338,0.0000012815146,0.0000034841626,0.00015800331,0.000003247634,0.00041026116],"genre_scores_gemma":[0.9994642,0.000046434157,0.000078690246,0.000013020539,9.16406e-7,0.0000030773829,0.00015388917,0.0000023927948,0.00023732799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999828,0.000014857329,0.000005028737,0.00003200622,0.000048004844,0.00007213071],"domain_scores_gemma":[0.9996294,0.000037151978,0.000039267034,0.000008751538,0.00018132529,0.00010400508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017744608,0.0002205193,0.00032991456,0.0005442753,0.002408363,0.00097533874,0.00037393588,0.00018781211,0.00068028364],"category_scores_gemma":[0.00045549386,0.00019063296,0.00021226208,0.00086710026,0.0007841453,0.00024096476,0.00043935806,0.00021166808,0.000065554974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007053835,0.000112750226,0.9520064,0.00007851547,0.00009751718,0.00038657483,0.003012848,0.0013493599,0.030156026,0.00027220979,0.00061259826,0.011209751],"study_design_scores_gemma":[0.000004959242,0.000012041107,0.99734807,0.000005316761,0.000013456571,0.000019816469,0.0010870632,0.0006801941,0.00036834297,0.000017229231,0.00043673365,0.000006795379],"about_ca_topic_score_codex":0.977826,"about_ca_topic_score_gemma":0.9935195,"teacher_disagreement_score":0.022174,"about_ca_system_score_codex":0.015605006,"about_ca_system_score_gemma":0.008956656,"threshold_uncertainty_score":0.11322278},"labels":[],"label_agreement":null},{"id":"W3008986565","doi":"10.5194/bg-17-813-2020","title":"Trends and decadal oscillations of oxygen and nutrients at 50 to 300 m depth in the equatorial and North Pacific","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Deutsche Forschungsgemeinschaft","keywords":"Pacific decadal oscillation; Oceanography; Nutrient; Ocean gyre; Environmental science; Context (archaeology); Ocean heat content; Sea surface temperature; Geology; Subtropics; Ecology; Biology","score_opus":0.024228884118510093,"score_gpt":0.21272525450269206,"score_spread":0.18849637038418196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008986565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997849,0.0002682332,0.00007693809,0.00005890391,0.000010006528,0.0000019328127,0.0012356397,0.00000811511,0.00049133314],"genre_scores_gemma":[0.9983889,0.00017606959,0.00010228302,0.000020301495,0.000010838001,0.0000055885416,0.0010538321,0.000002911722,0.00023938385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993384,0.000006989878,0.00000799993,0.000025113037,0.000013420304,0.000012550251],"domain_scores_gemma":[0.99961215,0.000052235875,0.00015706918,0.000019881505,0.00009720686,0.00006152349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022849297,0.00015239399,0.00014221852,0.0008008036,0.00014478478,0.00035475363,0.00012235518,0.00021986804,0.0005954797],"category_scores_gemma":[0.00047708856,0.00008422704,0.00017672288,0.0011256873,0.00015342949,0.00031635576,0.00032705412,0.0002450688,0.0001060064],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007627388,0.000015356189,0.99166566,0.000044357126,0.000115947274,0.00006449027,0.00030852674,0.00042815952,0.0021855605,0.000111828725,0.000496285,0.004487557],"study_design_scores_gemma":[8.154117e-7,0.000006318329,0.9992551,0.0000034413113,0.000009240861,0.0000130446215,0.00010140282,0.00024404436,0.00006164362,0.000016850243,0.00028665154,0.0000014848172],"about_ca_topic_score_codex":0.01535676,"about_ca_topic_score_gemma":0.024049897,"teacher_disagreement_score":0.01535676,"about_ca_system_score_codex":0.00030452764,"about_ca_system_score_gemma":0.0001958989,"threshold_uncertainty_score":0.030534744},"labels":[],"label_agreement":null},{"id":"W3009572400","doi":"10.5194/bg-17-1247-2020","title":"Contrasting conifer species productivity in relation to soil carbon, nitrogen and phosphorus stoichiometry of British Columbia perhumid rainforests","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Ministry of Forests; Government of British Columbia","funders":"Ministry of Environment","keywords":"Edaphic; Rainforest; Basal area; Soil water; Phosphorus; Ecology; Soil fertility; Nutrient; Soil carbon; Temperate rainforest; Forest floor; Agronomy; Biology; Environmental science; Botany; Chemistry; Ecosystem","score_opus":0.010870636760887923,"score_gpt":0.20425496165210696,"score_spread":0.19338432489121904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009572400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992367,0.00007302829,0.000015777532,0.0000074151467,6.8152593e-7,0.000002438733,0.00019289629,0.0000025985341,0.0004684274],"genre_scores_gemma":[0.99911064,0.00007032,0.00005078934,0.000012126712,4.6290944e-7,0.000003857154,0.00027183566,0.000001797874,0.00047808344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998242,0.000018907567,0.000009179184,0.00004479454,0.000044210898,0.000058753867],"domain_scores_gemma":[0.9992914,0.00009528249,0.000097002434,0.00003983019,0.00024861388,0.00022780827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025928652,0.00019631458,0.00020269433,0.00091432437,0.00089589896,0.00076699664,0.00033846326,0.00016173522,0.0014228101],"category_scores_gemma":[0.00060116115,0.00020352707,0.00008455328,0.0010200625,0.00041512636,0.00015046407,0.00029289746,0.00020700747,0.00015124833],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001761892,0.000043953853,0.97904474,0.000025780602,0.000060494098,0.0001361869,0.000566038,0.0001597831,0.01272129,0.00005654043,0.00030928804,0.006699724],"study_design_scores_gemma":[9.081281e-7,0.0000040225855,0.999554,0.0000018065348,0.0000036563445,0.000015640826,0.00016673669,0.000055792836,0.00008744926,0.0000038697144,0.00010512653,0.0000011084697],"about_ca_topic_score_codex":0.8018268,"about_ca_topic_score_gemma":0.94912535,"teacher_disagreement_score":0.19817322,"about_ca_system_score_codex":0.0027120912,"about_ca_system_score_gemma":0.0013689877,"threshold_uncertainty_score":0.39868057},"labels":[],"label_agreement":null},{"id":"W3013431174","doi":"10.5194/bg-17-4261-2020","title":"Linking tundra vegetation, snow, soil temperature, and permafrost","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":147,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Permafrost; Topsoil; Tundra; Environmental science; Snow; Vegetation (pathology); Subsoil; Spatial variability; Active layer; Physical geography; Hydrology (agriculture); Atmospheric sciences; Soil science; Geology; Soil water; Arctic; Geomorphology; Geography","score_opus":0.03602618445036179,"score_gpt":0.23264760066877194,"score_spread":0.19662141621841014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013431174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991399,0.0002568293,0.00014762356,0.000011052988,0.0000015875637,0.0000015494352,0.0001722714,0.0000035236692,0.00026556686],"genre_scores_gemma":[0.9996239,0.000055684042,0.00011310694,0.0000056399163,0.0000018467942,0.000001088978,0.00012694103,7.6603243e-7,0.00007112439],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.000045002264,0.000011544561,0.000040898238,0.000021562979,0.000034488938],"domain_scores_gemma":[0.9993037,0.00022750755,0.0002171029,0.00003464016,0.00009356591,0.0001235864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003907385,0.00016775445,0.0001611627,0.0005157814,0.00031423566,0.000555584,0.00017410684,0.00016434773,0.0010020527],"category_scores_gemma":[0.00080151175,0.000095021845,0.000160962,0.00074709795,0.00022043753,0.00023880182,0.00022427113,0.00013438093,0.00008944917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003927032,0.000007456367,0.996358,0.000011002301,0.00007027696,0.00003420593,0.000044494143,0.00024109527,0.0012615536,0.000016906279,0.000020598944,0.0018951019],"study_design_scores_gemma":[3.56372e-7,0.000008541924,0.9994579,0.0000022756,0.000010416167,0.000022054137,0.00006393882,0.00028538366,0.00007878587,0.000017480268,0.00005178516,9.233912e-7],"about_ca_topic_score_codex":0.05566604,"about_ca_topic_score_gemma":0.14295916,"teacher_disagreement_score":0.05566604,"about_ca_system_score_codex":0.0004341479,"about_ca_system_score_gemma":0.00056487956,"threshold_uncertainty_score":0.11068404},"labels":[],"label_agreement":null},{"id":"W3014739747","doi":"10.5194/bg-17-4937-2020","title":"Using <sup>226</sup> Ra and <sup>228</sup> Ra isotopes to distinguish water mass distribution in the Canadian Arctic Archipelago","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung und Forschung; Deutscher Akademischer Austauschdienst; National Science Foundation","keywords":"Oceanography; Geotraces; Water mass; Biogeochemical cycle; Bottom water; Seawater; Water column; Circumpolar deep water; Geology; Surface water; Continental shelf; Chemistry; Environmental science; Environmental chemistry; North Atlantic Deep Water; Thermohaline circulation","score_opus":0.026057203287459026,"score_gpt":0.2227496745739697,"score_spread":0.19669247128651068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014739747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96914744,0.004493585,0.0017205105,0.00037805707,0.00005435262,0.000042878775,0.0094563225,0.00012028105,0.014586475],"genre_scores_gemma":[0.9844971,0.0020027533,0.0049237194,0.00017505705,0.000015248716,0.000026598442,0.00413207,0.00004719291,0.004180239],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971205,0.00001117667,0.000014288119,0.000072682815,0.00013414914,0.000055615183],"domain_scores_gemma":[0.99947375,0.000019415893,0.000046118872,0.000013332225,0.00039801587,0.00004939738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003940011,0.00044088165,0.00018762525,0.0021769644,0.0016094515,0.0010992121,0.0004679432,0.0002826826,0.0011985986],"category_scores_gemma":[0.00049129647,0.00024195678,0.00025896213,0.002580655,0.00045892055,0.0003151877,0.00039472705,0.00031658416,0.00027597471],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002952462,0.000024612029,0.85650027,0.00028423188,0.0003321683,0.00017488655,0.0009155372,0.0017350743,0.051740635,0.00053979957,0.0046690614,0.08278847],"study_design_scores_gemma":[0.000007353373,0.000012294633,0.9844619,0.000045195946,0.00007436197,0.00006860784,0.0006821317,0.0021144196,0.00400404,0.000096536154,0.008402639,0.000030463687],"about_ca_topic_score_codex":0.9723023,"about_ca_topic_score_gemma":0.99338657,"teacher_disagreement_score":0.027697682,"about_ca_system_score_codex":0.0077959057,"about_ca_system_score_gemma":0.010098001,"threshold_uncertainty_score":0.056563497},"labels":[],"label_agreement":null},{"id":"W3015338415","doi":"10.5194/bg-17-4119-2020","title":"Can ocean community production and respiration be determined by measuring high-frequency oxygen profiles from autonomous floats?","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Dalhousie University","funders":"Gulf of Mexico Research Initiative","keywords":"Argo; Environmental science; Optode; Profiling (computer programming); Oxygen; Photic zone; Oceanography; Computer science; Geology; Chemistry; Ecology; Biology","score_opus":0.03538517595463219,"score_gpt":0.1981474755054869,"score_spread":0.1627622995508547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015338415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924252,0.00016005132,0.0066711307,0.000040205192,0.000009799741,0.000008407558,0.00020002981,0.000024876681,0.00046038828],"genre_scores_gemma":[0.99324244,0.000114222414,0.0061720363,0.00003434806,0.000010871207,0.000016927948,0.00019414866,0.000008927542,0.00020598463],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999864,0.00002797116,0.0000061055107,0.00005563191,0.00003303493,0.000013254023],"domain_scores_gemma":[0.99958795,0.00010423252,0.00016990367,0.000041784577,0.00007152765,0.000024573961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003119653,0.00026219257,0.00025581953,0.00036750932,0.00020331121,0.00035552823,0.0002802246,0.00033610885,0.00027867215],"category_scores_gemma":[0.0009916759,0.00020815125,0.00011871108,0.00030587657,0.00024582798,0.00054380676,0.00025217855,0.00016216838,0.00016135674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002106282,0.000049121663,0.78163344,0.00009472694,0.00012615313,0.00007291073,0.00024620848,0.0016743691,0.18411064,0.000075827375,0.00025396992,0.03145202],"study_design_scores_gemma":[0.000008358964,0.00008311607,0.97052526,0.000010828976,0.00004554611,0.0000610153,0.00018536924,0.013547904,0.014853126,0.00012270645,0.0005440335,0.000012823392],"about_ca_topic_score_codex":0.0059112534,"about_ca_topic_score_gemma":0.014415427,"teacher_disagreement_score":0.0059112534,"about_ca_system_score_codex":0.0002058625,"about_ca_system_score_gemma":0.0001292498,"threshold_uncertainty_score":0.011753678},"labels":[],"label_agreement":null},{"id":"W3015354784","doi":"10.5194/bg-17-1911-2020","title":"Drivers of diffusive CH <sub>4</sub> emissions from shallow subarctic lakes on daily to multi-year timescales","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Vetenskapsrådet; Division of Arctic Sciences; Natural Sciences and Engineering Research Council of Canada; McGill University; National Science Foundation","keywords":"Environmental science; Atmospheric sciences; Trace gas; Flux (metallurgy); Water column; Biogeochemical cycle; Turbulence; Wind speed; Chemistry; Meteorology; Environmental chemistry; Physics; Geology; Oceanography","score_opus":0.012530343080936122,"score_gpt":0.20704745220314588,"score_spread":0.19451710912220976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015354784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989033,0.00011162864,0.0002477289,0.00006155601,0.0000034492452,0.0000021703163,0.00036629871,0.000018978992,0.000284917],"genre_scores_gemma":[0.999316,0.000056613713,0.00013342005,0.000015085684,0.000004460605,0.000003938377,0.00035503248,0.0000063708894,0.000109249595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992716,0.000010026642,0.000005581912,0.000031075237,0.000009879462,0.00001622612],"domain_scores_gemma":[0.9995931,0.00007700491,0.00018323887,0.000027164302,0.00007613035,0.00004336106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003584874,0.0002830453,0.00020000774,0.0003977677,0.00033126064,0.00065046834,0.0002149984,0.00028478418,0.0011005936],"category_scores_gemma":[0.00062203483,0.0002556859,0.0003260787,0.00047998028,0.00037268654,0.0006142588,0.0005554826,0.0002719803,0.0001399085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011703373,0.000026694783,0.9606143,0.0000668646,0.00013008356,0.00012870421,0.00030104525,0.003669002,0.0291597,0.00025697562,0.00032205632,0.0052075274],"study_design_scores_gemma":[0.0000037058933,0.000008711163,0.9940597,0.000004539655,0.000020532972,0.000022724093,0.00011673262,0.004305472,0.00096085254,0.00006906398,0.00042047095,0.000007611378],"about_ca_topic_score_codex":0.036279045,"about_ca_topic_score_gemma":0.041449655,"teacher_disagreement_score":0.036279045,"about_ca_system_score_codex":0.0009736551,"about_ca_system_score_gemma":0.00042437657,"threshold_uncertainty_score":0.07213575},"labels":[],"label_agreement":null},{"id":"W3015694674","doi":"10.5194/bg-17-4745-2020","title":"Elevated sources of cobalt in the Arctic Ocean","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"Division of Ocean Sciences; Natural Sciences and Engineering Research Council of Canada; European Commission; Division of Materials Research; National High Magnetic Field Laboratory; National Science Foundation","keywords":"Geotraces; Canada Basin; Biogeochemical cycle; Oceanography; Arctic; Phytoplankton; Surface water; Water mass; Dissolved organic carbon; Deep sea; Scavenging; North Atlantic Deep Water; Geology; Environmental science; Trace metal; Environmental chemistry; Seawater; Chemistry; Deep water; Nutrient; Metal","score_opus":0.019056248807859222,"score_gpt":0.1971827434211236,"score_spread":0.17812649461326438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015694674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947865,0.00079934276,0.00026111005,0.00009135082,0.00003774109,0.0000042994666,0.0008970615,0.00003151994,0.003091144],"genre_scores_gemma":[0.9974158,0.0005054517,0.00036442565,0.00003667765,0.000021594562,0.0000031079403,0.0007785301,0.000009493215,0.0008648314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985814,0.000008484595,0.000005781468,0.000043252807,0.000049359853,0.000034913963],"domain_scores_gemma":[0.9998196,0.0000091890215,0.00002850477,0.000006737164,0.00010876,0.000027226146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015361262,0.00040091385,0.00035659326,0.00075441785,0.0013534467,0.00097275054,0.00019008572,0.00024996334,0.00052580354],"category_scores_gemma":[0.00019449464,0.00020866272,0.00017593303,0.00087200524,0.00025011497,0.0002121166,0.0006293841,0.00027703922,0.00026023036],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007240356,0.000044486307,0.7412255,0.00022847619,0.00017242093,0.00081967685,0.0008609207,0.0015121019,0.23576024,0.0005737715,0.0011670518,0.016911302],"study_design_scores_gemma":[0.000020298497,0.000112306385,0.96061766,0.00004431435,0.00011679073,0.0002766078,0.0014775719,0.0025902067,0.02313075,0.00023614595,0.011352808,0.000024468765],"about_ca_topic_score_codex":0.20604844,"about_ca_topic_score_gemma":0.20474926,"teacher_disagreement_score":0.20604844,"about_ca_system_score_codex":0.0018383556,"about_ca_system_score_gemma":0.0014457881,"threshold_uncertainty_score":0.4096982},"labels":[],"label_agreement":null},{"id":"W3016486238","doi":"10.5194/bg-17-5163-2020","title":"Thermokarst amplifies fluvial inorganic carbon cycling and export across watershed scales on the Peel Plateau, Canada","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Northwest Territories; University of Alberta","funders":"Natural Resources Canada; Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Arctic Institute of North America","keywords":"Permafrost; Thermokarst; Geology; Weathering; Carbonate; Fluvial; Transect; Earth science; Hydrology (agriculture); Geomorphology; Oceanography; Structural basin","score_opus":0.046588359906488463,"score_gpt":0.2270497018340802,"score_spread":0.18046134192759172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016486238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919266,0.000032368756,0.00004323635,0.000037483012,8.110627e-7,0.0000046036107,0.00017054347,0.000007421626,0.0005108934],"genre_scores_gemma":[0.9991597,0.00003632443,0.00010296951,0.000021033351,6.0631504e-7,0.0000037252191,0.00015187448,0.000003245007,0.0005205643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976784,0.000013767725,0.0000049621935,0.00007874059,0.00005114901,0.00008357021],"domain_scores_gemma":[0.9994054,0.00006709714,0.00005874253,0.000024185098,0.00025149927,0.00019307536],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019248592,0.00020119303,0.0002570866,0.0005684691,0.0015627258,0.0010773742,0.0005180148,0.00025748348,0.00135429],"category_scores_gemma":[0.0007855301,0.00018440966,0.0002127861,0.00086021516,0.0010113318,0.00034793903,0.00069734524,0.0003760253,0.00008102966],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017331097,0.000058095604,0.9736258,0.000027575325,0.00007762679,0.00027841007,0.0020436873,0.0014078096,0.0127196275,0.0002844172,0.000560418,0.008743364],"study_design_scores_gemma":[0.0000027950716,0.000009922468,0.99727076,0.000005745675,0.000010318886,0.000015172077,0.0011053227,0.0009303393,0.00027917817,0.0000305912,0.000334792,0.000005123841],"about_ca_topic_score_codex":0.97894716,"about_ca_topic_score_gemma":0.99357164,"teacher_disagreement_score":0.021052837,"about_ca_system_score_codex":0.012919238,"about_ca_system_score_gemma":0.011597378,"threshold_uncertainty_score":0.09373611},"labels":[],"label_agreement":null},{"id":"W3016581893","doi":"10.5194/bg-17-4559-2020","title":"Chemical destaining and the delta correction for blue intensity measurements of stained lake subfossil trees","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Université Laval; Center for Northern Studies; Université du Québec à Rimouski","funders":"Institute of Desert Meteorology, China Meteorological Administration; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Manitoba Hydro; Hydro-Québec; China Meteorological Administration; National Natural Science Foundation of China","keywords":"Subfossil; Sodium dithionite; Black spruce; Boreal; Stain; Chemistry; Sodium ascorbate; Delta; Botany; Taiga; Geology; Mineralogy; Ascorbic acid; Ecology; Biology; Paleontology; Staining; Organic chemistry","score_opus":0.0532503750010184,"score_gpt":0.24612598172321146,"score_spread":0.19287560672219306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016581893","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8810177,0.0014554816,0.109864034,0.00015192103,0.000112289825,0.0002018112,0.0007846401,0.000980321,0.005431797],"genre_scores_gemma":[0.7389244,0.0013546299,0.24418485,0.00023584835,0.000021430587,0.0004513567,0.0015355867,0.0008750253,0.012416832],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996513,0.00002995549,0.000027531885,0.00012088179,0.00012184627,0.00004847685],"domain_scores_gemma":[0.99943274,0.000057699526,0.00010886484,0.00007899213,0.0002867662,0.00003489432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006551476,0.00050371065,0.00018962788,0.0007356191,0.0009362445,0.00055563723,0.0004715882,0.00030112782,0.002214738],"category_scores_gemma":[0.0007084487,0.00036630555,0.00019275113,0.000500792,0.00044855455,0.00032198094,0.00038340015,0.00073225104,0.0005675366],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006275347,0.00001305373,0.0061468533,0.00007097836,0.000015930636,0.000053863256,0.00023670401,0.00019609198,0.9825732,0.00020621724,0.0001566686,0.010267614],"study_design_scores_gemma":[0.000008961092,0.0001706885,0.097593345,0.000023468316,0.00007040605,0.00034119,0.00027514764,0.0041085645,0.8848966,0.00017894007,0.012311174,0.000021620643],"about_ca_topic_score_codex":0.009750532,"about_ca_topic_score_gemma":0.041866265,"teacher_disagreement_score":0.009750532,"about_ca_system_score_codex":0.000662099,"about_ca_system_score_gemma":0.0007175756,"threshold_uncertainty_score":0.019387603},"labels":[],"label_agreement":null},{"id":"W3019680021","doi":"10.5194/bg-17-4059-2020","title":"Assessing the value of biogeochemical Argo profiles versus ocean color observations for biogeochemical model optimization in the Gulf of Mexico","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Leidos; Gulf of Mexico Research Initiative","keywords":"Biogeochemical cycle; Argo; Phytoplankton; Environmental science; Ocean color; Chlorophyll a; Biogeochemistry; Oceanography; Atmospheric sciences; Satellite; Geology; Ecology; Chemistry; Biology","score_opus":0.06406094478333224,"score_gpt":0.26626095322724036,"score_spread":0.20220000844390812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019680021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99169356,0.00015713337,0.0060386015,0.0003723215,0.000016642136,0.000020585012,0.00034650325,0.00014185032,0.0012127223],"genre_scores_gemma":[0.9933827,0.000053644086,0.0059939665,0.000051262876,0.0000057737543,0.000026009053,0.00028969534,0.00002570224,0.00017121343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977416,0.000099273464,0.000013613019,0.000049561597,0.00002477176,0.0000386584],"domain_scores_gemma":[0.99834156,0.0011300888,0.00018610749,0.000098799,0.0001604665,0.000082925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013698746,0.0010261035,0.00063847844,0.00048687175,0.0005691916,0.001166949,0.0007659869,0.0014774499,0.00074907485],"category_scores_gemma":[0.003919127,0.00058514497,0.0007777684,0.00039273364,0.00059021375,0.00070026016,0.00075818115,0.0008863853,0.00008860464],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007568537,0.000056079196,0.013023619,0.000019154024,0.00005454751,0.000029219158,0.000014966958,0.98343074,0.00068693655,0.00022836831,0.00015057661,0.002230083],"study_design_scores_gemma":[0.00003232507,0.000036828413,0.0029151458,0.000009343579,0.000019269995,0.000003760426,0.000024342464,0.9961308,0.0005636746,0.00011332152,0.00014215967,0.000009045871],"about_ca_topic_score_codex":0.064086206,"about_ca_topic_score_gemma":0.03417381,"teacher_disagreement_score":0.064086206,"about_ca_system_score_codex":0.0013651412,"about_ca_system_score_gemma":0.0013942643,"threshold_uncertainty_score":0.12742633},"labels":[],"label_agreement":null},{"id":"W3021311297","doi":"10.5194/bg-17-5309-2020","title":"Reviews and syntheses: Ironing out wrinkles in the soil phosphorus cycling paradigm","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biogeochemical cycle; Cycling; Mineralization (soil science); Biogeochemistry; Nitrogen cycle; Environmental chemistry; Soil science; Chemistry; Environmental science; Nitrogen; Soil water; Geography","score_opus":0.040224995196558706,"score_gpt":0.2449424062669825,"score_spread":0.2047174110704238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3021311297","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0001419083,0.9755104,0.0008765361,0.009854254,0.010035156,0.000011283233,0.00020424934,0.000048040227,0.0033182104],"genre_scores_gemma":[0.0023194996,0.976193,0.0016730309,0.0070955195,0.010616026,0.00006975258,0.00028785196,0.00004438592,0.001700959],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99772424,0.0007757943,0.00042900836,0.000346661,0.0005893881,0.00013497197],"domain_scores_gemma":[0.9718983,0.021720255,0.0017359524,0.0011987534,0.0029113463,0.00053546496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004608288,0.001886434,0.0027242,0.009928953,0.00084311096,0.0041831317,0.0017477758,0.0030410993,0.011643223],"category_scores_gemma":[0.027509669,0.00067717326,0.0012568388,0.015926415,0.0021928644,0.006616477,0.002550159,0.0040344894,0.0056736246],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001463565,0.000053661977,0.0002564605,0.07578603,0.00047817113,0.00031768743,0.00076841033,0.001277708,0.0012453733,0.054129,0.45253348,0.41300774],"study_design_scores_gemma":[0.000013895314,0.000028953831,0.00067678257,0.022805234,0.00016847368,0.00017545944,0.00029493528,0.0001854646,0.00017989274,0.02213391,0.9533064,0.000030695584],"about_ca_topic_score_codex":0.0030704732,"about_ca_topic_score_gemma":0.004354333,"teacher_disagreement_score":0.011643223,"about_ca_system_score_codex":0.0028010549,"about_ca_system_score_gemma":0.0052506733,"threshold_uncertainty_score":0.038950503},"labels":[],"label_agreement":null},{"id":"W3024712248","doi":"10.5194/bg-18-669-2021","title":"Implementation of nitrogen cycle in the CLASSIC land model","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Biogeochemical cycle; Environmental science; Nitrogen cycle; Carbon cycle; Nitrification; Atmospheric sciences; Denitrification; Primary production; Ecosystem; Nitrogen; Soil science; Environmental chemistry; Chemistry; Ecology; Biology; Geology","score_opus":0.011004880628445138,"score_gpt":0.2407617804233406,"score_spread":0.22975689979489544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024712248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50199234,0.0006409701,0.14980128,0.0014142945,0.0005300457,0.0004957884,0.028847082,0.016408317,0.29986984],"genre_scores_gemma":[0.92327845,0.00019592755,0.052076243,0.00020705958,0.000042633998,0.00019568649,0.0069462853,0.0008237012,0.016234102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997949,0.000030164203,0.000009321098,0.000050006543,0.000072682735,0.000042966036],"domain_scores_gemma":[0.9996648,0.00004714018,0.000016674921,0.000061236264,0.00016231435,0.000047798487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034113516,0.00061741215,0.0005025697,0.00036399826,0.00061193836,0.0010193663,0.0023400246,0.0005774805,0.009284113],"category_scores_gemma":[0.0009791674,0.00030034076,0.00056716055,0.0005171426,0.0005286834,0.000822279,0.0008279561,0.00072333665,0.0007193705],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014780239,0.00004585626,0.0049941787,0.00009205975,0.00006107079,0.0001001421,0.0001001802,0.9428768,0.0025228392,0.028058775,0.007193655,0.013806648],"study_design_scores_gemma":[0.0000934143,0.00002531023,0.0013147836,0.000009740038,0.000023544797,0.00001758748,0.000031487318,0.98042554,0.0010505671,0.0031638136,0.013823472,0.000020812362],"about_ca_topic_score_codex":0.45664984,"about_ca_topic_score_gemma":0.36920878,"teacher_disagreement_score":0.45664984,"about_ca_system_score_codex":0.0053128777,"about_ca_system_score_gemma":0.004123841,"threshold_uncertainty_score":0.90798366},"labels":[],"label_agreement":null},{"id":"W3038057495","doi":"10.5194/bg-17-3277-2020","title":"Decoupling of ΔO <sub>2</sub> ∕Ar and particulate organic carbon dynamics in nearshore surface ocean waters","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Drifter; Primary production; Environmental science; Upwelling; Mixed layer; Oceanography; Productivity; Particulates; Plankton; Atmospheric sciences; Photic zone; Phytoplankton; Ecosystem; Chemistry; Lagrangian; Ecology; Nutrient; Geology","score_opus":0.009647936147082035,"score_gpt":0.17682610780343283,"score_spread":0.1671781716563508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3038057495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99902165,0.00004503814,0.00013988398,0.000012059345,0.0000017621948,0.0000027410397,0.00023955612,0.0000058365704,0.0005315011],"genre_scores_gemma":[0.9986091,0.000057002977,0.0005023421,0.00001738224,0.0000037310501,0.0000063202383,0.00048453014,0.0000040407344,0.00031562927],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993896,0.0000045948245,0.000004798488,0.000022926894,0.000019627269,0.0000090947005],"domain_scores_gemma":[0.9998307,0.000016929793,0.00006738572,0.000010682876,0.00004728048,0.000026973637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009606549,0.00032196622,0.00014323228,0.00028400248,0.00032893967,0.00036210354,0.00015437191,0.00017054382,0.00077560387],"category_scores_gemma":[0.00025099574,0.00015094834,0.00015921326,0.0003448989,0.00016138922,0.00033119906,0.00032402383,0.00020560434,0.00016442641],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014435723,0.000027975562,0.9244558,0.000025086389,0.000045461984,0.000085964195,0.00014994724,0.00028210267,0.067577966,0.000028755157,0.000057123987,0.007119509],"study_design_scores_gemma":[0.0000029505302,0.00003656073,0.9954715,0.0000025598054,0.000011278957,0.000030578263,0.00011689462,0.0004674978,0.0035827893,0.00001972794,0.00025374012,0.000004064547],"about_ca_topic_score_codex":0.028795019,"about_ca_topic_score_gemma":0.0505062,"teacher_disagreement_score":0.028795019,"about_ca_system_score_codex":0.0003324312,"about_ca_system_score_gemma":0.00036533378,"threshold_uncertainty_score":0.05725479},"labels":[],"label_agreement":null},{"id":"W3039096232","doi":"10.5194/bg-17-5849-2020","title":"Hysteretic temperature sensitivity of wetland CH <sub>4</sub> fluxes explained by substrate availability and microbial activity","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Lawrence Berkeley National Laboratory; Biological and Environmental Research; U.S. Department of Energy; Division of Emerging Frontiers; Polarforskningssekretariatet; Svenska Forskningsrådet Formas; National Science Foundation","keywords":"Biogeochemical cycle; Environmental science; Abiotic component; Ecosystem; Atmospheric sciences; Substrate (aquarium); Biogeochemistry; Wetland; Methane; Methanogenesis; Climate change; Ecology; Environmental chemistry; Chemistry; Biology; Physics","score_opus":0.0068177836079153864,"score_gpt":0.18114999972626683,"score_spread":0.17433221611835145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3039096232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970836,0.000057010144,0.001868324,0.000046914905,0.0000039480637,0.000001833637,0.00018794672,0.00005945867,0.000690918],"genre_scores_gemma":[0.9998074,0.000008688866,0.00008103136,0.000003504618,6.2339416e-7,8.526388e-7,0.00005363441,0.000004174314,0.00004020477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999534,0.00000992665,0.0000023185041,0.000017398335,0.000005639408,0.000011372215],"domain_scores_gemma":[0.99974555,0.00013670791,0.000043538195,0.000038072885,0.000020068608,0.000016116417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019179085,0.00021536053,0.00013669989,0.00013468844,0.000094095005,0.00026230857,0.00020472895,0.0001860859,0.0007436752],"category_scores_gemma":[0.0006356779,0.0001313568,0.00027149532,0.00009810651,0.00023703901,0.00024615726,0.00020139937,0.00020869615,0.00014017557],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050770625,0.00009258919,0.5181816,0.00012034071,0.00029747197,0.0003159454,0.00014020005,0.19082493,0.27476516,0.0015856709,0.0010174254,0.01215089],"study_design_scores_gemma":[0.00001066002,0.000034469234,0.62726986,0.0000050500953,0.000032115597,0.000086992404,0.00005783366,0.35835895,0.012827113,0.00087870064,0.00041698094,0.000021313728],"about_ca_topic_score_codex":0.006541657,"about_ca_topic_score_gemma":0.0043180715,"teacher_disagreement_score":0.006541657,"about_ca_system_score_codex":0.0003418928,"about_ca_system_score_gemma":0.00014000351,"threshold_uncertainty_score":0.013007164},"labels":[],"label_agreement":null},{"id":"W3040588293","doi":"10.5194/bg-17-3439-2020","title":"Twenty-first century ocean warming, acidification, deoxygenation, and upper-ocean nutrient and primary production decline from CMIP6 model projections","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":868,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Fisheries and Oceans Canada","funders":"Bjerknessenteret for klimaforskning, Universitetet i Bergen; Horizon 2020; Ministère de la Transition écologique et Solidaire; European Commission; Sight Research UK; Natural Environment Research Council; U.S. Department of Energy; Norges Forskningsråd; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche; National Science Foundation","keywords":"Coupled model intercomparison project; Environmental science; Representative Concentration Pathways; Ecosystem; Effects of global warming on oceans; Nutrient; Primary production; Climate change; Deoxygenation; Photic zone; Sea surface temperature; New production; Global warming; Nitrate; Marine ecosystem; Atmospheric sciences; Climatology; Oceanography; Climate model; Phytoplankton; Ecology; Chemistry; Geology","score_opus":0.017450050714262408,"score_gpt":0.20158339959634722,"score_spread":0.18413334888208482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040588293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428128,0.00067817606,0.0068393913,0.00090298435,0.00017013717,0.000044002692,0.0403701,0.00056074496,0.0076216855],"genre_scores_gemma":[0.96939486,0.0004872826,0.0041922326,0.00015167217,0.00003799714,0.0000972263,0.024886668,0.00008298744,0.0006689384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996871,0.00010665366,0.000026662497,0.000068482565,0.00006361035,0.00004746862],"domain_scores_gemma":[0.99946994,0.00013337075,0.000090582114,0.00006739482,0.00017421122,0.00006452452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012379033,0.0012311825,0.00040997038,0.00062050007,0.00029656128,0.0008518963,0.0006928223,0.00085733604,0.0023966487],"category_scores_gemma":[0.0016089121,0.00043136868,0.0014996029,0.0012271291,0.00024738684,0.0010569284,0.00062851893,0.0007419254,0.00049903104],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045014953,0.00008482106,0.058740158,0.00025300754,0.00064507016,0.00018442712,0.000063171705,0.9204291,0.00225576,0.0016036713,0.0059769694,0.009313702],"study_design_scores_gemma":[0.0005309304,0.00023232997,0.14344852,0.00014572208,0.00064783194,0.00026503226,0.00021338389,0.8306813,0.0060456167,0.0046585575,0.012910927,0.00021975278],"about_ca_topic_score_codex":0.02912228,"about_ca_topic_score_gemma":0.018007863,"teacher_disagreement_score":0.02912228,"about_ca_system_score_codex":0.00095603475,"about_ca_system_score_gemma":0.0010718931,"threshold_uncertainty_score":0.057905555},"labels":[],"label_agreement":null},{"id":"W3040952716","doi":"10.5194/bg-17-3563-2020","title":"Response of carbon and water fluxes to meteorological and phenological variability in two eastern North American forests of similar age but contrasting species composition – a multiyear comparison","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Global Water Futures; Ministère de l’Environnement, de la Protection de la nature et des Parcs; University of British Columbia; Ministry of Environment; Ontario Ministry of Research and Innovation; Natural Sciences and Engineering Research Council of Canada; McMaster University; Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Evergreen; Deciduous; Environmental science; Phenology; Evapotranspiration; Temperate deciduous forest; Temperate forest; Temperate climate; Forest ecology; Evergreen forest; Temperate rainforest; Ecosystem; Forestry; Ecology; Atmospheric sciences; Geography; Biology; Geology","score_opus":0.02273451458781233,"score_gpt":0.24245384889656021,"score_spread":0.21971933430874788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040952716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99980146,0.000026797628,0.000022859556,0.0000025146483,8.7167456e-7,0.0000013835295,0.000081039834,0.0000012550881,0.00006184808],"genre_scores_gemma":[0.9992772,0.0000351949,0.00010067725,0.000009460798,0.0000027740466,0.000007589164,0.00042146267,0.0000010981746,0.000144666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998957,0.000020801159,0.0000079461115,0.00003625438,0.000017734086,0.000021475933],"domain_scores_gemma":[0.9996754,0.000046285983,0.00010335538,0.000021439917,0.00008494156,0.000068643865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035914846,0.00018273771,0.00019143404,0.00044116483,0.00029471848,0.00030647236,0.0001591474,0.00018924045,0.00048712804],"category_scores_gemma":[0.00030573984,0.00011894836,0.00022014283,0.00046914464,0.00015176927,0.00031417067,0.00024100381,0.0001339254,0.000068360845],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020667289,0.000081107195,0.99011,0.000016837605,0.00012557863,0.000109932545,0.00030583536,0.0002392254,0.0048843157,0.0000139735685,0.00009040131,0.003816116],"study_design_scores_gemma":[5.5634354e-7,0.000009240147,0.9997174,5.1913975e-7,0.0000054787997,0.000010748453,0.00006717496,0.00009851364,0.000044755296,0.0000023074297,0.000042536994,7.46561e-7],"about_ca_topic_score_codex":0.018145107,"about_ca_topic_score_gemma":0.059323013,"teacher_disagreement_score":0.9818549,"about_ca_system_score_codex":0.00034403356,"about_ca_system_score_gemma":0.00016838794,"threshold_uncertainty_score":0.03607899},"labels":[],"label_agreement":null},{"id":"W3040998524","doi":"10.5194/bg-17-5615-2020","title":"Global climate response to idealized deforestation in CMIP6 models","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":155,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Grand Équipement National De Calcul Intensif; Helmholtz Association; Linköpings Universitet; Ministry of Education, Culture, Sports, Science and Technology; European Commission; Deutsche Forschungsgemeinschaft; James S. McDonnell Foundation","keywords":"Scalable Vector Graphics; Biogeochemical cycle; Carbon cycle; Atmosphere (unit); Span (engineering); Environmental science; Climatology; Atmospheric sciences; Meteorology; Geology; Physics; Ecosystem; Biology; Ecology; Computer science","score_opus":0.016756025762577544,"score_gpt":0.23911073598510071,"score_spread":0.22235471022252318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040998524","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98717695,0.00022555512,0.0032137989,0.00040106112,0.00007268829,0.00003698363,0.0053850734,0.0003456311,0.0031422344],"genre_scores_gemma":[0.9953165,0.000094108655,0.0014320367,0.00007381877,0.00001702347,0.000047663252,0.0026415747,0.000044729815,0.0003326351],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955827,0.00020709468,0.000022631404,0.000097063225,0.000040685783,0.00007422943],"domain_scores_gemma":[0.9989974,0.00045165073,0.00011514024,0.0001345212,0.00020372603,0.0000974875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015081163,0.0010955867,0.00074418244,0.000518113,0.00047821272,0.0008464661,0.0014152182,0.001457964,0.0016486321],"category_scores_gemma":[0.0027047638,0.00043872447,0.0011794391,0.0009214283,0.0006568199,0.0008502375,0.00054944435,0.0009536835,0.00022911512],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014480147,0.00004475319,0.005623917,0.000032298027,0.00007252053,0.000038613747,0.000022019649,0.99178207,0.00035864217,0.0005965974,0.0006168203,0.0006668737],"study_design_scores_gemma":[0.00009687431,0.000055045344,0.004459596,0.0000074010704,0.000025420168,0.000013679165,0.00002275715,0.9939709,0.00034604067,0.0005893121,0.00039469838,0.00001842897],"about_ca_topic_score_codex":0.030170424,"about_ca_topic_score_gemma":0.011117441,"teacher_disagreement_score":0.030170424,"about_ca_system_score_codex":0.0014088202,"about_ca_system_score_gemma":0.0007326136,"threshold_uncertainty_score":0.05998957},"labels":[],"label_agreement":null},{"id":"W3045101881","doi":"10.5194/bg-17-5809-2020","title":"Ideas and perspectives: A strategic assessment of methane and nitrous oxide measurements in the marine environment","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fondos de Desarrollo de la Astronomía Nacional; University of California, Los Angeles; Joint Institute for the Study of the Atmosphere and Ocean; National Aeronautics and Space Administration; National Science Foundation","keywords":"Biogeochemistry; Biogeochemical cycle; Environmental science; Trace gas; Climate change; Methane; Greenhouse gas; Interoperability; Marine ecosystem; Environmental resource management; Nitrous oxide; Ecosystem; Biosphere; Earth science; Computer science; Oceanography; Ecology; Meteorology; Geography; Geology","score_opus":0.03970221586596683,"score_gpt":0.24414141345745077,"score_spread":0.20443919759148393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045101881","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.06906062,0.033753328,0.045590077,0.7748638,0.010657943,0.00048448727,0.0018860439,0.00026007372,0.06344357],"genre_scores_gemma":[0.7466092,0.03560621,0.1267889,0.06822043,0.0048179384,0.00064385025,0.0017209223,0.0002132436,0.015379288],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9838198,0.009926044,0.00056307775,0.0009855358,0.0036913017,0.0010143608],"domain_scores_gemma":[0.9844919,0.0052298275,0.0008365084,0.00057443895,0.005561328,0.0033060228],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04452735,0.0016472891,0.0006799651,0.0032574928,0.0033337718,0.017686507,0.0024071638,0.007321482,0.0040056715],"category_scores_gemma":[0.018472292,0.00040147605,0.0009909086,0.0035295964,0.004518495,0.010048265,0.0072228243,0.005132263,0.0010218463],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008400594,0.00063472334,0.032123987,0.0031752698,0.00036062638,0.002335684,0.008613459,0.012055161,0.014685344,0.40192613,0.17138728,0.35186234],"study_design_scores_gemma":[0.00009852977,0.00076233194,0.013319736,0.0028056488,0.00016796897,0.00062532705,0.05729837,0.015301205,0.008892912,0.315478,0.58492994,0.00032007904],"about_ca_topic_score_codex":0.0119180875,"about_ca_topic_score_gemma":0.01716682,"teacher_disagreement_score":0.04452735,"about_ca_system_score_codex":0.009997776,"about_ca_system_score_gemma":0.02327569,"threshold_uncertainty_score":0.23548597},"labels":[],"label_agreement":null},{"id":"W3046897338","doi":"10.5194/bg-17-3923-2020","title":"The recent state and variability of the carbonate system of the Canadian Arctic Archipelago and adjacent basins in the context of ocean acidification","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; McGill University","funders":"Fonds Québécois de la Recherche sur la Nature et les Technologies; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network; McGill University","keywords":"Ocean acidification; Arctic; Oceanography; Aragonite; Archipelago; Bay; Canada Basin; Sink (geography); Geology; Context (archaeology); Biogeochemical cycle; Marine ecosystem; Carbonate; Ecosystem; Environmental science; Seawater; Geography; Ecology; Calcite; Geochemistry","score_opus":0.016391995824451465,"score_gpt":0.19884816856176715,"score_spread":0.18245617273731568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046897338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874111,0.0011903829,0.0001875897,0.00038656854,0.00002179567,0.0000150739825,0.008075712,0.000018597684,0.002693265],"genre_scores_gemma":[0.99610233,0.00039553622,0.00025255242,0.00006089108,0.000006678007,0.000007985686,0.0027810696,0.0000047559315,0.0003883021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958307,0.000025405792,0.000027199518,0.000097269316,0.00014741198,0.00011971681],"domain_scores_gemma":[0.99782676,0.00008065494,0.00028933628,0.00006703647,0.001474619,0.00026157507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066788547,0.00027646506,0.00024676352,0.002567405,0.0015722871,0.0014912069,0.0008017328,0.00033009326,0.0007326067],"category_scores_gemma":[0.0017216065,0.00016625678,0.00033085002,0.004927862,0.0006529385,0.00035788317,0.0007965986,0.0004119066,0.000098455894],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034913133,0.000011210845,0.9917292,0.000043953893,0.00012450118,0.000051459498,0.00065171585,0.00040937547,0.00075884385,0.00015805462,0.0012312477,0.0047954456],"study_design_scores_gemma":[8.00358e-7,0.000002063317,0.9980464,0.000012245372,0.000012973049,0.000013130629,0.00043456035,0.00032808608,0.00006120399,0.0000108710865,0.0010726043,0.000005143264],"about_ca_topic_score_codex":0.99020875,"about_ca_topic_score_gemma":0.9963097,"teacher_disagreement_score":0.01194197,"about_ca_system_score_codex":0.01194197,"about_ca_system_score_gemma":0.013209632,"threshold_uncertainty_score":0.086645484},"labels":[],"label_agreement":null},{"id":"W3085497393","doi":"10.5194/bg-18-1269-2021","title":"Reviews and syntheses: The biogeochemical cycle of silicon in the modern ocean","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Elemental Analysis","field":"Earth and Planetary Sciences","cited_by":288,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministerio de Ciencia, Innovación y Universidades; Agence Nationale de la Recherche; University of Victoria","keywords":"Biogeochemical cycle; Silicic acid; Biogenic silica; Environmental science; Pelagic zone; Benthic zone; Carbon cycle; Oceanography; Environmental chemistry; Chemistry; Diatom; Ecology; Geology; Biology; Ecosystem","score_opus":0.020821263848960908,"score_gpt":0.22505149578097647,"score_spread":0.20423023193201556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085497393","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00023757736,0.98293096,0.00059009995,0.0015805846,0.0068896874,0.000026023323,0.0009007338,0.00008066268,0.0067636715],"genre_scores_gemma":[0.0017722092,0.9874161,0.0009975667,0.0010406895,0.0043471856,0.000050058752,0.001006758,0.000043151405,0.0033263117],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991541,0.00011586851,0.00018233144,0.00017716296,0.0003139278,0.00005656434],"domain_scores_gemma":[0.99517834,0.002485133,0.00069409824,0.00021259741,0.001215538,0.00021427998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012148278,0.002278616,0.0022761403,0.006721601,0.00039154594,0.0023163853,0.000979144,0.0011689756,0.021823201],"category_scores_gemma":[0.006596749,0.0005660674,0.0010353852,0.011957582,0.0006625604,0.0021027066,0.0010892677,0.0018518533,0.009066118],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014796242,0.00005616379,0.00053598377,0.107502826,0.0006270052,0.00024392692,0.0002735446,0.0015183839,0.0033363998,0.0085097505,0.32967263,0.5475755],"study_design_scores_gemma":[0.0000106865755,0.000025850777,0.0010252697,0.010065215,0.00021417062,0.00013643446,0.00006307531,0.00009241394,0.00037706917,0.0021495782,0.9858133,0.000026943844],"about_ca_topic_score_codex":0.0030192393,"about_ca_topic_score_gemma":0.0038765303,"teacher_disagreement_score":0.021823201,"about_ca_system_score_codex":0.0018407895,"about_ca_system_score_gemma":0.0041568438,"threshold_uncertainty_score":0.073005855},"labels":[],"label_agreement":null},{"id":"W3087595018","doi":"10.5194/bg-18-1619-2021","title":"Technical note: CO <sub>2</sub> is not like CH <sub>4</sub> – limits of and corrections to the headspace method to analyse <i>p</i> CO <sub>2</sub> in fresh water","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":83,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"European Regional Development Fund; Agencia Estatal de Investigación; Ministerio de Ciencia, Innovación y Universidades; Natural Sciences and Engineering Research Council of Canada; Centres de Recerca de Catalunya; Canadian Institute for Advanced Research","keywords":"Alkalinity; Chemistry; Carbonate; Analytical Chemistry (journal); Thermodynamics; Chromatography; Physics; Physical chemistry; Organic chemistry","score_opus":0.018974033488530256,"score_gpt":0.2596371967636565,"score_spread":0.24066316327512624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087595018","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041262403,0.005141573,0.6926871,0.040199038,0.08986134,0.002401276,0.021464456,0.07590454,0.03107827],"genre_scores_gemma":[0.10252826,0.0038659826,0.6196351,0.016126154,0.007289285,0.003794948,0.026263472,0.03211141,0.1883854],"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99183744,0.0016055035,0.0008795705,0.0010646251,0.0041908612,0.000421967],"domain_scores_gemma":[0.9610373,0.007253597,0.0027063657,0.009350056,0.01817731,0.0014754083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014529645,0.0015379793,0.0012674067,0.0017182464,0.0020644343,0.0016052786,0.003249242,0.0015926925,0.07841863],"category_scores_gemma":[0.041191846,0.0010789442,0.0015409491,0.0016223838,0.0018847308,0.0021392778,0.0035226317,0.0038716542,0.0757543],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00074907293,0.00013532581,0.0047337674,0.0017290947,0.00012967474,0.0018210824,0.00089071674,0.00060423464,0.27545178,0.0070413062,0.54554075,0.16117318],"study_design_scores_gemma":[0.000048308913,0.0001738785,0.0048044436,0.00019003074,0.00007809325,0.0025510902,0.00016910247,0.0018722622,0.20582443,0.0022841387,0.78190297,0.00010121286],"about_ca_topic_score_codex":0.0035849223,"about_ca_topic_score_gemma":0.008176189,"teacher_disagreement_score":0.07841863,"about_ca_system_score_codex":0.0011497353,"about_ca_system_score_gemma":0.0027882725,"threshold_uncertainty_score":0.26233643},"labels":[],"label_agreement":null},{"id":"W3092172295","doi":"10.5194/bg-17-4831-2020","title":"Factors controlling plankton community production, export flux, and particulate matter stoichiometry in the coastal upwelling system off Peru","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Leibniz-Gemeinschaft; Strong; Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Bundesministerium für Bildung und Forschung; European Commission; Deutsche Forschungsgemeinschaft","keywords":"Upwelling; Particulates; Oceanography; Plankton; Environmental science; Flux (metallurgy); Stoichiometry; Production (economics); Geology; Ecology; Chemistry; Biology","score_opus":0.037898454014218694,"score_gpt":0.22847983984117304,"score_spread":0.19058138582695433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092172295","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997347,0.000035796013,0.000027149086,0.00000999427,2.838871e-7,0.000003131011,0.000054372093,0.0000018998276,0.00013275893],"genre_scores_gemma":[0.99962294,0.000058889615,0.000064514155,0.000008375239,9.522442e-7,0.000008847914,0.00013742558,0.0000010209233,0.0000969964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991345,0.00001690543,0.000006895474,0.000030973442,0.000011204751,0.00002059875],"domain_scores_gemma":[0.9997321,0.000056805027,0.000095372525,0.000017206317,0.000056976696,0.000041537103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001695229,0.00025810066,0.0001789428,0.00058712316,0.00038552645,0.0006227493,0.00022141555,0.00021043875,0.00076589745],"category_scores_gemma":[0.0005306671,0.00019237198,0.00021993533,0.0005455727,0.00032655656,0.00041641906,0.0007505396,0.00018015834,0.00010768627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008156627,0.000034714987,0.9651712,0.000050424966,0.000059304963,0.00021319279,0.0012914067,0.00018811686,0.02970297,0.00004174938,0.000043101278,0.0031221702],"study_design_scores_gemma":[0.0000012976731,0.00002129607,0.99900454,0.0000025755803,0.0000066714483,0.000019366546,0.0004566233,0.00018452697,0.00021176369,0.0000066644284,0.00008310472,0.0000016597335],"about_ca_topic_score_codex":0.022962015,"about_ca_topic_score_gemma":0.038450737,"teacher_disagreement_score":0.022962015,"about_ca_system_score_codex":0.0005099932,"about_ca_system_score_gemma":0.00029133618,"threshold_uncertainty_score":0.04565668},"labels":[],"label_agreement":null},{"id":"W3093027052","doi":"10.5194/bg-18-739-2021","title":"L-band vegetation optical depth as an indicator of plant water potential in a temperate deciduous forest stand","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Cégep de Sherbrooke; Center for Diagnosis and Research on Alzheimer's Disease; Université du Québec à Trois-Rivières","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Canadian Space Agency; Jet Propulsion Laboratory; Nuclear Safety and Security Commission; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Environmental science; Water content; Deciduous; Canopy; Vegetation (pathology); Growing season; Temperate forest; Radiometer; Hydrology (agriculture); Atmospheric sciences; Temperate climate; Remote sensing; Ecology; Geology","score_opus":0.00867705172609719,"score_gpt":0.2259531751425634,"score_spread":0.2172761234164662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093027052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997751,0.000013619927,0.000055577068,0.0000032490254,6.190108e-7,0.0000010144436,0.000068509566,0.0000030865006,0.00007925845],"genre_scores_gemma":[0.99975795,0.0000050785297,0.00010148461,0.0000035883506,0.0000010034456,0.0000015886852,0.00008716957,5.863729e-7,0.000041555726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994135,0.000010995204,0.0000035121175,0.000026240466,0.000009713112,0.00000834823],"domain_scores_gemma":[0.9997725,0.000056357083,0.00006239404,0.000015290156,0.000043936714,0.000049435523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017771819,0.00014384449,0.00010027625,0.0003646966,0.0002089303,0.000260605,0.0001762092,0.00013556435,0.00043192314],"category_scores_gemma":[0.0002864862,0.00009784491,0.000086419175,0.00026336033,0.00014623704,0.00020564708,0.00014403816,0.000120737575,0.00006862197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011323321,0.000059847862,0.980583,0.000010156729,0.000031123698,0.00007524787,0.00013612746,0.0004994483,0.016292736,0.000023630557,0.0000886739,0.0020866012],"study_design_scores_gemma":[0.0000025257268,0.000018048448,0.9984688,8.466631e-7,0.0000047405188,0.00001725491,0.000055068416,0.001114625,0.0002729275,0.000006169337,0.000037656322,0.0000013341058],"about_ca_topic_score_codex":0.01729033,"about_ca_topic_score_gemma":0.05167218,"teacher_disagreement_score":0.01729033,"about_ca_system_score_codex":0.0003443082,"about_ca_system_score_gemma":0.0001035853,"threshold_uncertainty_score":0.034379363},"labels":[],"label_agreement":null},{"id":"W3095380646","doi":"10.5194/bg-18-3029-2021","title":"Rain-fed streams dilute inorganic nutrients but subsidise organic-matter-associated nutrients in coastal waters of the northeast Pacific Ocean","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; University of Alberta; Vancouver Island University; Simon Fraser University; Tula Foundation; University of British Columbia","funders":"Hakai Institute; Tula Foundation","keywords":"Nutrient; Redfield ratio; Environmental science; Dissolved organic carbon; Organic matter; Oceanography; STREAMS; Total organic carbon; Environmental chemistry; Ecology; Phytoplankton; Geology; Chemistry; Biology","score_opus":0.0071967945273969346,"score_gpt":0.17593866160441607,"score_spread":0.16874186707701913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095380646","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98757,0.00018341988,0.00014132395,0.00008159297,0.000007894129,0.000009886398,0.0100403195,0.000036997433,0.0019286404],"genre_scores_gemma":[0.98466116,0.00029771868,0.00052764977,0.00008665065,0.000008136044,0.000023311059,0.013232825,0.000013755492,0.0011489303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999863,0.000011820512,0.000012958098,0.00004974562,0.00002613552,0.000036266927],"domain_scores_gemma":[0.9997004,0.000031306605,0.00009183578,0.000024394678,0.00009278681,0.000059153284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017494621,0.00024393259,0.00024174139,0.00064856734,0.0005626662,0.00081941613,0.00023836119,0.0001600744,0.0016994324],"category_scores_gemma":[0.0006201371,0.0001547405,0.00026637298,0.0014106433,0.00032671227,0.0003589701,0.0005786885,0.000258017,0.00020309632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004031801,0.000015989366,0.9899158,0.00005317584,0.00010412436,0.000076925346,0.00019905096,0.00044727226,0.0019717966,0.00005668464,0.0012975633,0.005821173],"study_design_scores_gemma":[0.000003228883,0.0000025864615,0.9979358,0.000010822321,0.000013874393,0.0000133482945,0.00022529053,0.0003303872,0.00016946324,0.000023724304,0.0012689802,0.0000025398767],"about_ca_topic_score_codex":0.46579322,"about_ca_topic_score_gemma":0.58110493,"teacher_disagreement_score":0.46579322,"about_ca_system_score_codex":0.0011169311,"about_ca_system_score_gemma":0.0016833183,"threshold_uncertainty_score":0.92616403},"labels":[],"label_agreement":null},{"id":"W3106379752","doi":"10.5194/bg-18-3505-2021","title":"Geographic variability in freshwater methane hydrogen isotope ratios and its implications for global isotopic source signatures","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Methane; Environmental science; Wetland; δ13C; Stable isotope ratio; Spatial variability; Isotopic signature; Precipitation; Methanogenesis; Atmospheric sciences; Isotope; Isotopes of carbon; Ecology; Geology; Biology; Total organic carbon; Geography; Meteorology; Physics","score_opus":0.009010197270833903,"score_gpt":0.22974265335615968,"score_spread":0.22073245608532577,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106379752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969981,0.00024028096,0.000716055,0.000048783273,0.000003932999,0.0000039909282,0.0012538471,0.000018847542,0.0007162615],"genre_scores_gemma":[0.99860686,0.00008673299,0.00032990417,0.000012085072,0.0000028837496,0.000004231495,0.00086455257,0.0000057246116,0.00008707469],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997824,0.00005075204,0.000015384474,0.00009799959,0.000027569024,0.000025918443],"domain_scores_gemma":[0.9994816,0.00011012954,0.00015687862,0.00008774952,0.00013154784,0.000032021842],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046281907,0.00021149177,0.0002207768,0.0009439106,0.00019402786,0.00037578164,0.0002108127,0.00014479224,0.0008340135],"category_scores_gemma":[0.00075439055,0.000113909395,0.00028370804,0.0017767173,0.00027093265,0.00034868103,0.00044149192,0.00012794705,0.00013978968],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008291039,0.000012568711,0.97214353,0.000042992797,0.00017013097,0.000089168316,0.0001765494,0.0010050175,0.014406258,0.00016537787,0.00019666791,0.011508872],"study_design_scores_gemma":[0.0000017211627,0.000006551505,0.99863154,0.0000030178378,0.000015686892,0.000019713223,0.00011074395,0.00037926063,0.00046724765,0.00006814401,0.00029221256,0.0000041126245],"about_ca_topic_score_codex":0.010244356,"about_ca_topic_score_gemma":0.013543038,"teacher_disagreement_score":0.010244356,"about_ca_system_score_codex":0.00028396375,"about_ca_system_score_gemma":0.00016035963,"threshold_uncertainty_score":0.02036947},"labels":[],"label_agreement":null},{"id":"W3106922349","doi":"10.5194/bg-17-5745-2020","title":"A numerical model study of the main factors contributing to hypoxia and its interannual and short-term variability in the East China Sea","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Environmental science; Sink (geography); Hypoxia (environmental); Upwelling; Downwelling; Estuary; Advection; Plume; Global wind patterns; Oceanography; Hydrology (agriculture); Atmospheric sciences; Geology; Oxygen","score_opus":0.02378612388024151,"score_gpt":0.2246769089859214,"score_spread":0.2008907851056799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106922349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99569786,0.00005118427,0.002417669,0.000086206295,0.000015891299,0.000012679801,0.00027590326,0.00006070844,0.0013818475],"genre_scores_gemma":[0.9986455,0.00003600705,0.0006945614,0.000011363386,0.0000041914736,0.000019632187,0.00022285605,0.0000094181,0.0003565258],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999274,0.000016666121,0.000006010111,0.000019932471,0.000009500698,0.00002055065],"domain_scores_gemma":[0.9996916,0.00012471295,0.000051461368,0.000025179559,0.000056536835,0.000050526793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032159255,0.0006329456,0.00043306328,0.0003417266,0.00054088706,0.00066030526,0.0006320824,0.000800793,0.0011254101],"category_scores_gemma":[0.00077596237,0.00029887856,0.0005623692,0.00043663417,0.00049612083,0.00050007267,0.000442052,0.0004732418,0.00008993738],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057417594,0.000054868306,0.01415625,0.000013565894,0.00003397691,0.00008625709,0.000023521361,0.9830393,0.0010181089,0.0003570759,0.00014073197,0.0010189244],"study_design_scores_gemma":[0.000017725883,0.000022269123,0.0036019962,0.0000016891435,0.000010663099,0.000005427952,0.000017810778,0.9959907,0.00015552441,0.00010205719,0.00006968189,0.0000045393995],"about_ca_topic_score_codex":0.05164987,"about_ca_topic_score_gemma":0.020247024,"teacher_disagreement_score":0.05164987,"about_ca_system_score_codex":0.0010342139,"about_ca_system_score_gemma":0.0010619046,"threshold_uncertainty_score":0.102698445},"labels":[],"label_agreement":null},{"id":"W3107784744","doi":"10.5194/bg-18-4755-2021","title":"Soil profile connectivity can impact microbial substrate use, affecting how soil CO <sub>2</sub> effluxes are controlled by temperature","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Memorial University of Newfoundland","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Soil water; Organic matter; Soil horizon; Chemistry; Environmental chemistry; Substrate (aquarium); Soil respiration; Soil organic matter; Horizon; Soil science; Incubation; Soil pH; Environmental science; Ecology; Biology; Biochemistry","score_opus":0.012473616511960717,"score_gpt":0.2150195544627246,"score_spread":0.2025459379507639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107784744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985049,0.00016990531,0.00065202214,0.000021244454,0.0000050453314,0.000009377128,0.00021329994,0.000016846778,0.00040744],"genre_scores_gemma":[0.9994281,0.000060386355,0.00028592025,0.000014717457,0.0000017443468,0.000007711171,0.0001299783,0.000006355528,0.000065000655],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9997956,0.000031731688,0.000015865444,0.0000835432,0.00002961515,0.000043677494],"domain_scores_gemma":[0.9995888,0.00011854412,0.00013327,0.00004201926,0.00004455493,0.00007292399],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022356062,0.0004047158,0.0003149414,0.00019481499,0.00028124652,0.0007693011,0.0003319438,0.00033960358,0.0008843556],"category_scores_gemma":[0.00037314266,0.00034330063,0.00028111486,0.00020594987,0.00037106677,0.000712051,0.00046242416,0.0003763391,0.00012657193],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050457404,0.000048684447,0.046277165,0.00006825607,0.00008543433,0.00006068824,0.00007813695,0.00053609745,0.94951457,0.00008869958,0.00005339022,0.0026841657],"study_design_scores_gemma":[0.000018810539,0.00032030517,0.9257487,0.000009867383,0.000080747996,0.00011371133,0.00025419984,0.0032805037,0.069196396,0.00019236143,0.000760937,0.000023546698],"about_ca_topic_score_codex":0.003984731,"about_ca_topic_score_gemma":0.0070639797,"teacher_disagreement_score":0.003984731,"about_ca_system_score_codex":0.00046376145,"about_ca_system_score_gemma":0.00022999695,"threshold_uncertainty_score":0.007923067},"labels":[],"label_agreement":null},{"id":"W3112630006","doi":"10.5194/bg-17-6393-2020","title":"Lagged effects regulate the inter-annual variability of the tropical carbon balance","year":2020,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Centre for Earth Observation; Natural Environment Research Council; Sight Research UK; Natural Sciences and Engineering Research Council of Canada; University of Pittsburgh; National Aeronautics and Space Administration; California Institute of Technology; Canadian Space Agency; Jet Propulsion Laboratory","keywords":"Biosphere model; Biosphere; Environmental science; Ecosystem; Climatology; Atmospheric sciences; Carbon cycle; Tropics; Land cover; Primary production; Terrestrial ecosystem; Land use; Ecology; Biology; Geology","score_opus":0.004500669722508888,"score_gpt":0.18215078965085443,"score_spread":0.17765011992834553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112630006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914505,0.0002458487,0.0051793866,0.00013744514,0.000018038852,0.0000063931057,0.00067332643,0.000037709306,0.0022514176],"genre_scores_gemma":[0.9992866,0.00004164418,0.00043424455,0.000015006695,0.000004307608,0.0000028371644,0.00013261441,0.000006738114,0.000075998214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987924,0.000023440756,0.000009959102,0.00004823309,0.00002354853,0.000015491205],"domain_scores_gemma":[0.9994735,0.00015744269,0.00017203942,0.000067705696,0.000090364156,0.000038953152],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047235054,0.00013440143,0.00012771545,0.00032976017,0.00026184658,0.00078353245,0.0001824567,0.00015275988,0.0009374718],"category_scores_gemma":[0.0017422298,0.00017780447,0.00030159726,0.00043271252,0.00037662048,0.00072851405,0.00045552928,0.00032540417,0.000058005917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031561777,0.000081112514,0.7822851,0.00014514221,0.00046724372,0.0002823223,0.00072543777,0.11484121,0.053352006,0.019448278,0.0014695321,0.026587037],"study_design_scores_gemma":[0.000018593999,0.000031345116,0.8828622,0.000027213118,0.00007970002,0.00007410786,0.00017491524,0.10367943,0.0038487026,0.0059287595,0.0032439583,0.000031049414],"about_ca_topic_score_codex":0.009312436,"about_ca_topic_score_gemma":0.0098363925,"teacher_disagreement_score":0.009312436,"about_ca_system_score_codex":0.0005896529,"about_ca_system_score_gemma":0.00045572798,"threshold_uncertainty_score":0.01851648},"labels":[],"label_agreement":null},{"id":"W3116464267","doi":"10.5194/bg-18-3263-2021","title":"Simulating shrubs and their energy and carbon dioxide fluxes in Canada's Low Arctic with the Canadian Land Surface Scheme Including Biogeochemical Cycles (CLASSIC)","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Carleton University; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Polar Knowledge Canada","keywords":"Tundra; Permafrost; Environmental science; Biogeochemical cycle; Arctic; Shrub; Vegetation (pathology); Eddy covariance; Atmospheric sciences; Ecosystem; Climatology; Ecology; Oceanography; Geology","score_opus":0.024721219199293234,"score_gpt":0.206728964639735,"score_spread":0.18200774544044176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116464267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99423176,0.00008128414,0.0008954188,0.000103800034,0.000022461823,0.000032419328,0.0015354168,0.00010084063,0.0029965085],"genre_scores_gemma":[0.99625,0.000061300714,0.0017703093,0.000039009272,0.000004208283,0.0000223226,0.001000669,0.000014385747,0.00083790097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981576,0.000026576794,0.000007827576,0.000041283594,0.000032645334,0.00007584653],"domain_scores_gemma":[0.99948895,0.00009002715,0.000037106573,0.000025312616,0.00024499823,0.0001136255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004589267,0.00084636774,0.0005047654,0.00049801916,0.001681257,0.0010014642,0.0014308923,0.0007607061,0.0016094652],"category_scores_gemma":[0.00076161465,0.00042051528,0.0007778521,0.00085879583,0.00077142264,0.00039463694,0.00047765326,0.0006305646,0.00013576214],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022034887,0.00013544135,0.05228292,0.00005916847,0.00009861915,0.00011464629,0.00008117406,0.9401481,0.0016749331,0.0006235087,0.0009851984,0.0035759008],"study_design_scores_gemma":[0.00013052601,0.000068524605,0.02866797,0.000010559814,0.00005905658,0.000013378563,0.00014163721,0.96870494,0.00080067094,0.00011352935,0.001257395,0.00003183367],"about_ca_topic_score_codex":0.97719294,"about_ca_topic_score_gemma":0.9753671,"teacher_disagreement_score":0.022807062,"about_ca_system_score_codex":0.013169819,"about_ca_system_score_gemma":0.013681033,"threshold_uncertainty_score":0.09555417},"labels":[],"label_agreement":null},{"id":"W3118623821","doi":"10.5194/bg-18-303-2021","title":"A Lagrangian study of the contribution of the Canary coastal upwelling to the nitrogen budget of the open North Atlantic","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; York University; New York University Abu Dhabi; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Upwelling; Submarine pipeline; Oceanography; Biogeochemical cycle; Ocean gyre; Lagrangian; Environmental science; Continental shelf; Biogeochemistry; Productivity; Boundary current; Subtropics; Geology; Ocean current; Fishery; Ecology","score_opus":0.012804568184964596,"score_gpt":0.20865566548628856,"score_spread":0.19585109730132397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118623821","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956357,0.00004985967,0.0020872212,0.00021256636,0.000011637877,0.0000070088627,0.000088592424,0.000014855092,0.0018926096],"genre_scores_gemma":[0.99840707,0.000042188938,0.00079301366,0.000031888518,0.000008330867,0.0000059602503,0.000100276004,0.000011150994,0.00060016656],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999455,0.0000136105755,0.0000035687228,0.000010912442,0.0000104422,0.000015872318],"domain_scores_gemma":[0.9997627,0.00007990552,0.000056839614,0.000014938264,0.000034116438,0.000051533396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021634223,0.00037331274,0.00024145508,0.00033745947,0.00057710934,0.0005613458,0.00054003653,0.0005828278,0.0009686152],"category_scores_gemma":[0.00083622494,0.000301282,0.0007148723,0.00025188108,0.00044004235,0.0005679208,0.00052530237,0.00044312302,0.000072536146],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015331351,0.0002051137,0.08808033,0.000049637234,0.000212212,0.0004786031,0.00013366772,0.8880786,0.012471131,0.005120571,0.00050964387,0.004507201],"study_design_scores_gemma":[0.000024143726,0.000036178415,0.012491704,0.0000040591167,0.000018483219,0.000012068876,0.00005240551,0.9865849,0.0002723328,0.00032907428,0.00016461601,0.000010029945],"about_ca_topic_score_codex":0.090287045,"about_ca_topic_score_gemma":0.052540436,"teacher_disagreement_score":0.090287045,"about_ca_system_score_codex":0.0013536485,"about_ca_system_score_gemma":0.0011834488,"threshold_uncertainty_score":0.17952299},"labels":[],"label_agreement":null},{"id":"W3123864563","doi":"10.5194/bg-18-5851-2021","title":"On the influence of erect shrubs on the irradiance profile in snow","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval","funders":"Institut Polaire Français Paul Emile Victor; Fondation BNP Paribas; Natural Sciences and Engineering Research Council of Canada; BNP Paribas Cardif","keywords":"Snowpack; Snow; Irradiance; Arctic; Radiative transfer; Environmental science; Atmospheric sciences; Shrub; Snowmelt; Permafrost; Atmospheric radiative transfer codes; Geology; Ecology; Geomorphology; Physics; Oceanography","score_opus":0.04321845265798644,"score_gpt":0.24022119017788032,"score_spread":0.1970027375198939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123864563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964701,0.00017429034,0.0018631463,0.000008385754,0.000003902573,0.000007095644,0.00025577887,0.000030364658,0.0011869614],"genre_scores_gemma":[0.99869835,0.0000867708,0.0006145028,0.00000815555,0.0000014185092,0.0000035026071,0.000272909,0.000014631433,0.0002996942],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99992216,0.0000070531214,0.000002338265,0.000024896624,0.000027198472,0.00001631134],"domain_scores_gemma":[0.99991333,0.000020059613,0.000010066984,0.0000061598366,0.00004091966,0.000009568241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012906089,0.00022528914,0.00018473734,0.00036397018,0.0003364559,0.00031837146,0.00017071675,0.00013673691,0.0008732187],"category_scores_gemma":[0.00013805069,0.0001317036,0.00022400291,0.0003954794,0.00017061083,0.00019915958,0.00013408206,0.00020464812,0.00018279749],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005257824,0.000100057114,0.367001,0.00026725035,0.00015469537,0.0004014513,0.0006351631,0.018876337,0.5732487,0.00039999076,0.0004353223,0.037954383],"study_design_scores_gemma":[0.0000066374864,0.0000604185,0.92132145,0.000015976257,0.000042303873,0.0000997629,0.00022851488,0.0258965,0.051254578,0.00009504266,0.0009646349,0.000014104013],"about_ca_topic_score_codex":0.04437493,"about_ca_topic_score_gemma":0.0721643,"teacher_disagreement_score":0.04437493,"about_ca_system_score_codex":0.0005257286,"about_ca_system_score_gemma":0.0002630133,"threshold_uncertainty_score":0.08823329},"labels":[],"label_agreement":null},{"id":"W3128069645","doi":"10.5194/bg-18-5247-2021","title":"Long-term spatiotemporal variations in and expansion of low-oxygen conditions in the Pearl River estuary: a study synthesizing observations during 1976–2017","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Natural Science Foundation of China","keywords":"Estuary; Environmental science; Oxygen; Oceanography; Water column; Hypoxia (environmental); Oxygen minimum zone; Archipelago; Eutrophication; Hydrology (agriculture); Ecology; Geology; Upwelling; Nutrient; Chemistry; Biology","score_opus":0.03089597852557044,"score_gpt":0.23718183771242363,"score_spread":0.2062858591868532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128069645","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852777,0.00016120159,0.00008636148,0.000018528504,0.0000041654625,0.00000613168,0.00069437583,0.0000046280998,0.00049687433],"genre_scores_gemma":[0.9975122,0.00027995775,0.00015225974,0.000017392827,0.00001334174,0.000022380656,0.001624014,0.0000031956354,0.00037518688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998357,0.000015108971,0.000024361154,0.000053538777,0.000041685544,0.000029510975],"domain_scores_gemma":[0.9995198,0.000052761727,0.00017688452,0.000029475834,0.00014927154,0.00007171599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029914852,0.00023636242,0.00025392315,0.0011429568,0.0003897296,0.00057922903,0.00028500284,0.0002353756,0.00047988744],"category_scores_gemma":[0.0004620298,0.00018115742,0.0002822778,0.0016459352,0.00026473892,0.00058663846,0.00062414247,0.00025435784,0.000116026604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030609088,0.000021694168,0.99282396,0.000039660474,0.000048719194,0.00021696578,0.000699776,0.00008078261,0.001209162,0.000023300028,0.00018287366,0.0046224697],"study_design_scores_gemma":[5.3618686e-7,0.000011377906,0.99904555,0.0000048124234,0.0000092985265,0.00002942484,0.00039500915,0.0000942976,0.00008800063,0.0000040026844,0.00031495307,0.0000026911707],"about_ca_topic_score_codex":0.030999575,"about_ca_topic_score_gemma":0.062394995,"teacher_disagreement_score":0.030999575,"about_ca_system_score_codex":0.0004604841,"about_ca_system_score_gemma":0.0006274942,"threshold_uncertainty_score":0.061638296},"labels":[],"label_agreement":null},{"id":"W3128560567","doi":"10.5194/bg-18-4059-2021","title":"The motion of trees in the wind: a data synthesis","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree Root and Stability Studies","field":"Engineering","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of British Columbia; University of Alberta; Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK; Engineering and Physical Sciences Research Council; U.S. Department of Agriculture","keywords":"Motion (physics); Environmental science; Meteorology; Geography; Computer science; Artificial intelligence","score_opus":0.044700683039264937,"score_gpt":0.2510684532861188,"score_spread":0.20636777024685388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128560567","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4446951,0.07484359,0.048439994,0.0015605567,0.00080145965,0.010769761,0.40619543,0.000511925,0.012182134],"genre_scores_gemma":[0.7650426,0.025316166,0.05231433,0.0011505525,0.0003357071,0.028577346,0.12311407,0.00019902368,0.003950239],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99441504,0.0017243342,0.0016549249,0.0008917197,0.001060388,0.00025361785],"domain_scores_gemma":[0.9714598,0.020596972,0.002210454,0.0017275886,0.003706866,0.0002983211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004338071,0.0007587427,0.0021256711,0.0066831075,0.00070370885,0.0018593752,0.0009156897,0.0010311567,0.012703688],"category_scores_gemma":[0.030761186,0.00041529007,0.0027561018,0.007512483,0.00052220345,0.0010257805,0.0016531157,0.0008620327,0.0020893854],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007954414,0.0016724111,0.28850415,0.105010435,0.013397222,0.0012530028,0.0023637332,0.008957481,0.010575257,0.0045226947,0.029564446,0.5262248],"study_design_scores_gemma":[0.0012614654,0.0062823505,0.7039165,0.035993982,0.019421734,0.000918931,0.009520882,0.010593427,0.007652185,0.005679699,0.19826624,0.0004926025],"about_ca_topic_score_codex":0.005615567,"about_ca_topic_score_gemma":0.010673407,"teacher_disagreement_score":0.012703688,"about_ca_system_score_codex":0.00079462095,"about_ca_system_score_gemma":0.0022185661,"threshold_uncertainty_score":0.042498052},"labels":[],"label_agreement":null},{"id":"W3130170164","doi":"10.5194/bg-18-1333-2021","title":"Changing sources and processes sustaining surface CO <sub>2</sub> and CH <sub>4</sub> fluxes along a tropical river to reservoir system","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Sarawak Energy","keywords":"Epilimnion; Hypolimnion; Greenhouse gas; Environmental science; Water column; Surface water; Hydrology (agriculture); Carbon dioxide; Atmospheric sciences; Environmental chemistry; Chemistry; Oceanography; Ecology; Eutrophication; Environmental engineering; Geology; Biology; Nutrient","score_opus":0.011770830255292833,"score_gpt":0.2035381955213794,"score_spread":0.19176736526608656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130170164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997023,0.000009741604,0.000049443977,0.0000066507846,3.1752487e-7,0.0000012291842,0.000067708934,0.0000028128798,0.00015983118],"genre_scores_gemma":[0.9997669,0.000012813486,0.00007273187,0.000003363562,4.794545e-7,0.0000020806324,0.000058829326,0.0000010405678,0.00008175787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999964,0.0000046085574,0.0000025158151,0.000012193896,0.0000046952555,0.00001198971],"domain_scores_gemma":[0.9999087,0.000015853231,0.000027749089,0.0000057031425,0.00001907569,0.000022882357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000066827444,0.00012630549,0.00012610019,0.00028708333,0.00031177618,0.0003924651,0.00018306471,0.00014495524,0.0006624218],"category_scores_gemma":[0.0001306879,0.00010224719,0.00014344837,0.00029514448,0.00030310746,0.00027885684,0.00029847876,0.00012793118,0.000071509516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001682664,0.00007383658,0.8874514,0.000078513454,0.00009195563,0.00045970146,0.0008873832,0.005510639,0.09524516,0.00048222678,0.00019266797,0.009358165],"study_design_scores_gemma":[0.0000033684964,0.000035764617,0.9911963,0.0000045406605,0.000019905001,0.00005034441,0.00054973655,0.006497792,0.0013678009,0.000045264773,0.00022266591,0.000006580319],"about_ca_topic_score_codex":0.021494629,"about_ca_topic_score_gemma":0.036497455,"teacher_disagreement_score":0.021494629,"about_ca_system_score_codex":0.00066613074,"about_ca_system_score_gemma":0.00036511998,"threshold_uncertainty_score":0.042739034},"labels":[],"label_agreement":null},{"id":"W3131794150","doi":"10.5194/bg-18-4985-2021","title":"Slowdown of the greening trend in natural vegetation with further rise in atmospheric CO <sub>2</sub>","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada; Ouranos","funders":"","keywords":"Biome; Greening; Vegetation (pathology); Environmental science; Climate change; Ecosystem; Ecology; Biosphere; Geography; Climatology; Atmospheric sciences; Physical geography; Biology","score_opus":0.004683295342543554,"score_gpt":0.18561656506862662,"score_spread":0.18093326972608306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131794150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99537814,0.00021522812,0.0017042605,0.00020567061,0.0000135580885,0.000004335037,0.0015040361,0.00010403753,0.00087085133],"genre_scores_gemma":[0.9984333,0.000052754258,0.00037346792,0.000023397484,0.0000060090974,0.0000035231053,0.0009436091,0.0000074229056,0.00015652498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989736,0.000019100195,0.000005527275,0.00004218946,0.000018880804,0.000017024297],"domain_scores_gemma":[0.99949014,0.00014378922,0.00015885595,0.00008002938,0.00008025346,0.000046877863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046234851,0.00015305865,0.000111925765,0.00037247821,0.00014216441,0.0004565983,0.00025155226,0.0002694388,0.0012999888],"category_scores_gemma":[0.0008100461,0.00009454705,0.00048646334,0.0005535529,0.00024334117,0.00036926862,0.00025003296,0.000379132,0.0002115549],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022529704,0.00009443204,0.9104562,0.00013136247,0.0003719139,0.00023213062,0.00017210766,0.05823417,0.008821389,0.0017057804,0.0028705462,0.016684644],"study_design_scores_gemma":[0.000006937665,0.000026474387,0.92307293,0.000009732159,0.000035010973,0.00006568816,0.00010176815,0.072397314,0.0015276946,0.0007573315,0.001987214,0.000011946765],"about_ca_topic_score_codex":0.011807633,"about_ca_topic_score_gemma":0.009738914,"teacher_disagreement_score":0.011807633,"about_ca_system_score_codex":0.00033140212,"about_ca_system_score_gemma":0.00025378275,"threshold_uncertainty_score":0.023477793},"labels":[],"label_agreement":null},{"id":"W3136568481","doi":"10.5194/bg-18-4791-2021","title":"Sediment and carbon accumulation in a glacial lake in Chukotka (Arctic Siberia) during the Late Pleistocene and Holocene: combining hydroacoustic profiling and down-core analyses","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Ministry of Science and Higher Education of the Russian Federation; Bundesministerium für Bildung und Forschung; H2020 European Research Council; Russian Foundation for Basic Research; European Commission","keywords":"Holocene; Geology; Radiocarbon dating; Sediment; Glacial period; Permafrost; Thermokarst; Arctic; Pleistocene; Total organic carbon; Oceanography; Paleolimnology; Physical geography; Younger Dryas; Sedimentary rock; Biogeochemical cycle; Geochemistry; Geomorphology; Paleontology; Ecology","score_opus":0.0540286560850784,"score_gpt":0.3037716080697486,"score_spread":0.24974295198467023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136568481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995722,0.000071418675,0.00003141264,0.000005933368,9.239038e-7,0.0000011172351,0.00017330337,0.0000031328318,0.00014053084],"genre_scores_gemma":[0.9991755,0.0000627538,0.00008001815,0.00000816984,0.0000015981689,0.0000034606248,0.0004944864,0.000002729618,0.0001714181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999101,0.000011577834,0.000011924034,0.000025671925,0.000017089173,0.000023692526],"domain_scores_gemma":[0.99981064,0.000018139508,0.00005443932,0.000011385458,0.00005877229,0.000046645353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000273988,0.00033198463,0.0002796401,0.00149574,0.0010432135,0.0007156344,0.00024885047,0.00027129217,0.00064171205],"category_scores_gemma":[0.0002977148,0.0002765204,0.00028839987,0.001559474,0.00037357278,0.00039161762,0.00064289226,0.00016857607,0.00013007683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010460845,0.00002477121,0.98276097,0.000040275303,0.000110509936,0.00024185376,0.0009901371,0.0005094401,0.009415865,0.000028153236,0.00009895613,0.00567436],"study_design_scores_gemma":[9.634464e-7,0.0000050551903,0.9993155,0.0000030247586,0.000011430701,0.000022830345,0.00012958693,0.0003109281,0.00012464012,0.000004573181,0.00006989224,0.0000015777805],"about_ca_topic_score_codex":0.13803875,"about_ca_topic_score_gemma":0.25206444,"teacher_disagreement_score":0.13803875,"about_ca_system_score_codex":0.0014040573,"about_ca_system_score_gemma":0.0009044873,"threshold_uncertainty_score":0.27447057},"labels":[],"label_agreement":null},{"id":"W3138621860","doi":"10.5194/bg-18-4143-2021","title":"A novel representation of biological nitrogen fixation and competitive dynamics between nitrogen-fixing and non-fixing plants in a land model (GFDL LM4.1-BNF)","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Princeton University; National Science Foundation","keywords":"Nitrogen fixation; Ecosystem; Environmental science; Nitrogen cycle; Ecology; Nitrogen; Chemistry; Biology","score_opus":0.0388841027865979,"score_gpt":0.2564184057841013,"score_spread":0.2175343029975034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138621860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6151025,0.0009171124,0.3188061,0.0024333503,0.00031523753,0.00017630972,0.014150075,0.00531283,0.042786457],"genre_scores_gemma":[0.9218971,0.00034126017,0.06540517,0.00037626093,0.00011359842,0.0003456199,0.005821089,0.0008044099,0.004895535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998658,0.00003972073,0.00000861908,0.00003440219,0.000025780895,0.000025797523],"domain_scores_gemma":[0.9997621,0.0000773682,0.000029347848,0.000032803746,0.000057385383,0.000041010197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033669636,0.0007937306,0.00067712227,0.0006041215,0.0005960796,0.0012560035,0.0020385736,0.0022412145,0.0039296695],"category_scores_gemma":[0.001041579,0.00036237013,0.0011776575,0.0007164437,0.00058115425,0.0013740832,0.0008578247,0.00091152213,0.0006301383],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028663237,0.000039295384,0.0022446672,0.000040703337,0.000048645546,0.00009012448,0.000034647604,0.98120177,0.0019824824,0.008298643,0.0015654552,0.004424936],"study_design_scores_gemma":[0.00002598056,0.0000069356356,0.00032864956,0.0000041530498,0.00001003734,0.0000116112715,0.000010434076,0.9959084,0.00015780167,0.0019228037,0.0016033514,0.00000991084],"about_ca_topic_score_codex":0.049176306,"about_ca_topic_score_gemma":0.021583468,"teacher_disagreement_score":0.049176306,"about_ca_system_score_codex":0.0015315323,"about_ca_system_score_gemma":0.0015585411,"threshold_uncertainty_score":0.09778011},"labels":[],"label_agreement":null},{"id":"W3139355006","doi":"10.5194/bg-18-1803-2021","title":"An observation-based evaluation and ranking of historical Earth system model simulations in the northwest North Atlantic Ocean","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Compute Canada; U.S. Department of Energy","keywords":"Biogeochemical cycle; Biogeochemistry; Environmental science; Earth system science; Oceanography; Continental shelf; Salinity; Climatology; Climate change; Ocean current; Representative Concentration Pathways; Sea surface temperature; Nitrate; Climate model; Spatial ecology; Geology; Ecology; Biology","score_opus":0.05350814576316619,"score_gpt":0.27646021826424005,"score_spread":0.22295207250107385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139355006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966293,0.00015963997,0.000759207,0.00009149115,0.000025140953,0.000019303778,0.0015727227,0.00012705123,0.00061597046],"genre_scores_gemma":[0.99570566,0.0000662837,0.0009021975,0.000021374277,0.000009164102,0.000013638842,0.0031468382,0.000018728066,0.0001162163],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991033,0.00037273476,0.0001231944,0.00021407763,0.00012510664,0.0000617292],"domain_scores_gemma":[0.9943949,0.002875921,0.00070023414,0.00055555155,0.0011047502,0.00036859635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0048767044,0.0007160604,0.0005002455,0.0012709638,0.00045093926,0.0013796476,0.0006492368,0.00079916394,0.0007021105],"category_scores_gemma":[0.009163546,0.00030513448,0.0007540736,0.0008587488,0.00032603144,0.0011615731,0.0005491103,0.0005609679,0.00017868247],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007018695,0.0003326727,0.50080365,0.000083050756,0.0006357271,0.00009975086,0.00008028916,0.48003706,0.001041524,0.0003328982,0.0017242169,0.014127383],"study_design_scores_gemma":[0.00013866875,0.0002997328,0.19140066,0.000023575563,0.00009862841,0.000027964013,0.00012846552,0.80593574,0.0010589404,0.00019127529,0.0006633863,0.000032911095],"about_ca_topic_score_codex":0.048669495,"about_ca_topic_score_gemma":0.058841236,"teacher_disagreement_score":0.048669495,"about_ca_system_score_codex":0.0017392691,"about_ca_system_score_gemma":0.0006641061,"threshold_uncertainty_score":0.09677237},"labels":[],"label_agreement":null},{"id":"W3142577082","doi":"10.5194/bg-18-3733-2021","title":"Hydrographic fronts shape productivity, nitrogen fixation, and microbial community composition in the southern Indian Ocean and the Southern Ocean","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Leibniz-Gemeinschaft; European Molecular Biology Laboratory","keywords":"Ocean gyre; Biogeochemical cycle; Oceanography; Biogeochemistry; Ecology; Abiotic component; Hydrography; Biology; Microbial population biology; Environmental science; Dominance (genetics); Subtropics; Geology","score_opus":0.01107204223471695,"score_gpt":0.20912166597504497,"score_spread":0.19804962374032803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142577082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99952126,0.00005424971,0.00003538961,0.00001118921,0.0000012582846,0.0000013433629,0.00009481993,0.0000033477638,0.00027706442],"genre_scores_gemma":[0.9997243,0.000035855395,0.000045711073,0.000008472682,0.0000021781427,0.0000020095522,0.000115692754,0.0000018879183,0.00006391147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989223,0.000025050209,0.000008756361,0.000029518049,0.000018933031,0.000025545496],"domain_scores_gemma":[0.9995863,0.000080537604,0.00014299931,0.000028222084,0.00006804439,0.00009390744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017647604,0.00021473576,0.0002371708,0.0009373744,0.0004104962,0.0007899484,0.00020737808,0.00023227079,0.0009961625],"category_scores_gemma":[0.00059202086,0.00020828625,0.00032699923,0.0011716562,0.00053423387,0.00042048964,0.0007587933,0.00020826084,0.0001426866],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007807243,0.000014453604,0.9880244,0.000022454304,0.0000636645,0.00006823438,0.0004954042,0.00016365956,0.008674289,0.000036247755,0.00005330855,0.0023057521],"study_design_scores_gemma":[5.569261e-7,0.000004530319,0.9995747,0.0000013605598,0.0000057005745,0.000008225315,0.00021719575,0.000094445495,0.000052603144,0.000008318979,0.000030849184,0.0000013941655],"about_ca_topic_score_codex":0.025363177,"about_ca_topic_score_gemma":0.032047328,"teacher_disagreement_score":0.025363177,"about_ca_system_score_codex":0.00033385534,"about_ca_system_score_gemma":0.0003172885,"threshold_uncertainty_score":0.050431073},"labels":[],"label_agreement":null},{"id":"W3145718728","doi":"10.5194/bg-18-5639-2021","title":"Assessing the representation of the Australian carbon cycle in global vegetation models","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Oak Ridge National Laboratory; Horizon 2020 Framework Programme; U.S. Department of Energy; European Commission; Battelle; Agence Nationale de la Recherche; U.S. Department of Agriculture; National Institute of Food and Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsches Klimarechenzentrum; Australian Research Council; UT-Battelle; National Center for Atmospheric Research; Climate Extremes; National Science Foundation","keywords":"Carbon cycle; Environmental science; Biome; Vegetation (pathology); Atmospheric sciences; Primary production; Climate change; Carbon fibers; Carbon dioxide in Earth's atmosphere; Climatology; Precipitation; Global change; Carbon sequestration; Global warming; Carbon dioxide; Ecosystem; Ecology; Meteorology; Geography; Biology; Geology; Mathematics","score_opus":0.021271975154733908,"score_gpt":0.27412172590808775,"score_spread":0.25284975075335386,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145718728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903859,0.00027447977,0.0056915935,0.00033678988,0.000025784459,0.000029412926,0.00043783672,0.000100338926,0.0027178929],"genre_scores_gemma":[0.99664116,0.00009079237,0.0026072455,0.000054164986,0.0000066153493,0.000021119895,0.0002670043,0.00001899965,0.00029289667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996296,0.00019993779,0.000022168113,0.00005999341,0.000050860515,0.00003733597],"domain_scores_gemma":[0.9987803,0.0006866715,0.00011306064,0.00010954431,0.0002273882,0.000082938976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016856992,0.0006967437,0.0004947027,0.00044063356,0.0004890267,0.00095845293,0.00085934956,0.0008772421,0.0007831006],"category_scores_gemma":[0.0050541037,0.0005151736,0.00061473466,0.0006305312,0.00043166216,0.000989221,0.00087564834,0.00076373504,0.00008906989],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045146695,0.000033594773,0.0129988585,0.000033200504,0.000092916445,0.000026439575,0.000037766327,0.98279935,0.0005582502,0.0006630286,0.00019694495,0.0025145384],"study_design_scores_gemma":[0.000013343962,0.000034836154,0.0052578235,0.0000066664056,0.000021246271,0.0000056634763,0.000018252082,0.9937907,0.00019537577,0.00039523543,0.00025307122,0.0000077611685],"about_ca_topic_score_codex":0.114586025,"about_ca_topic_score_gemma":0.0630236,"teacher_disagreement_score":0.114586025,"about_ca_system_score_codex":0.0021575901,"about_ca_system_score_gemma":0.0011696902,"threshold_uncertainty_score":0.2278381},"labels":[],"label_agreement":null},{"id":"W3156458029","doi":"10.5194/bg-18-6115-2021","title":"Enhanced chlorophyll- <i>a</i> concentration in the wake of Sable Island, eastern Canada, revealed by two decades of satellite observations: a response to grey seal population dynamics?","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography","funders":"","keywords":"Phytoplankton; Oceanography; Environmental science; Chlorophyll a; Terrigenous sediment; Plankton; Turbidity; Ocean color; Water column; Atmospheric sciences; Satellite; Geology; Chemistry; Nutrient; Biology; Ecology; Physics; Sedimentary rock","score_opus":0.01164975101533646,"score_gpt":0.21212789178980196,"score_spread":0.2004781407744655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156458029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99966645,0.000029877796,0.000017156606,0.000016419699,0.0000013079763,0.0000011244642,0.00011750079,0.0000017556052,0.00014840381],"genre_scores_gemma":[0.9996511,0.000027902226,0.000027822856,0.00000792968,0.0000012850579,0.0000014577632,0.00015793674,6.510369e-7,0.00012387651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992096,0.0000068422623,0.0000056218432,0.000021081521,0.000018064908,0.000027405173],"domain_scores_gemma":[0.9996092,0.00003082119,0.000097241806,0.000017694176,0.00014718852,0.00009795926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001702512,0.00012233453,0.00017613075,0.00043423378,0.0005014918,0.00050233095,0.00023192799,0.00021668388,0.0005726159],"category_scores_gemma":[0.00042396275,0.00011709026,0.00018052082,0.0005334779,0.00038416774,0.00016898468,0.00031007052,0.00017600015,0.00006884364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006862717,0.000011993797,0.99229515,0.000012676216,0.000028988266,0.000121406214,0.0003239939,0.00010852106,0.0052927798,0.000014524916,0.00007653469,0.0016448302],"study_design_scores_gemma":[6.062529e-7,0.000004861468,0.99954516,0.0000011181984,0.0000030573035,0.000009236194,0.00020357121,0.000094903626,0.00007202358,0.000002189013,0.00006230565,9.589319e-7],"about_ca_topic_score_codex":0.59555423,"about_ca_topic_score_gemma":0.7375375,"teacher_disagreement_score":0.40444577,"about_ca_system_score_codex":0.0014725598,"about_ca_system_score_gemma":0.0015179609,"threshold_uncertainty_score":0.81365526},"labels":[],"label_agreement":null},{"id":"W3160122370","doi":"10.5194/bg-18-5053-2021","title":"Reviews and syntheses: Arctic fire regimes and emissions in the 21st century","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; Business Finland; Environment and Climate Change Canada; Ulkoministeriö; Belmont Forum; European Commission; Sight Research UK; Russian Foundation for Basic Research; University of Miami; National Aeronautics and Space Administration","keywords":"Arctic; Climate change; Boreal; Environmental science; Fire regime; Context (archaeology); Arctic ecology; Taiga; Geography; Climatology; Physical geography; Ecology; Ecosystem; Oceanography; Forestry; Geology","score_opus":0.01657975441648514,"score_gpt":0.23771700157257364,"score_spread":0.2211372471560885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160122370","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022599782,0.99528295,0.00010863564,0.0006098105,0.0011986697,0.00002171733,0.00086747005,0.000012867693,0.0016719057],"genre_scores_gemma":[0.0015360612,0.9962876,0.00020187724,0.0004822261,0.0005417692,0.00005384818,0.0004893798,0.000006613186,0.00040062546],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9981365,0.0004887597,0.000564,0.0002582414,0.00044209507,0.00011044643],"domain_scores_gemma":[0.992547,0.004938198,0.0012104375,0.00019531371,0.001008095,0.000100951256],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153368,0.0017234727,0.0026123407,0.011790414,0.00059234374,0.003651241,0.00082557095,0.0015813035,0.018405028],"category_scores_gemma":[0.010354012,0.0005867399,0.002738602,0.023088425,0.00059818826,0.0027784584,0.0013108286,0.0017466856,0.0024935745],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017395675,0.00004771077,0.0007781769,0.65122664,0.002072084,0.00020349481,0.0010272783,0.0008242982,0.00056225364,0.006602182,0.09565053,0.24083133],"study_design_scores_gemma":[0.000020456266,0.00004470224,0.0032746696,0.30932027,0.0020372076,0.00021368817,0.00054511114,0.000078305384,0.00018540176,0.0015334279,0.6827157,0.000031017273],"about_ca_topic_score_codex":0.011218238,"about_ca_topic_score_gemma":0.01353616,"teacher_disagreement_score":0.018405028,"about_ca_system_score_codex":0.0030117675,"about_ca_system_score_gemma":0.006596156,"threshold_uncertainty_score":0.061570942},"labels":[],"label_agreement":null},{"id":"W3161302236","doi":"10.5194/bg-18-3005-2021","title":"Ideas and perspectives: Biogeochemistry – some key foci for the future","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Toronto; University of Waterloo; University of Guelph","funders":"","keywords":"Biogeochemistry; Key (lock); Oceanography; Environmental science; Data science; Computer science; Geology; Ecology; Biology","score_opus":0.017072384251883354,"score_gpt":0.23335921904835,"score_spread":0.21628683479646665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161302236","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00096803025,0.12803206,0.0043452345,0.8448768,0.010473282,0.000013006347,0.000044797132,0.000040955976,0.011205742],"genre_scores_gemma":[0.2173711,0.30415416,0.019969996,0.38667136,0.045812592,0.00025081725,0.00025408514,0.00026271725,0.025253171],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99502856,0.003493979,0.00011775037,0.00042993136,0.0004985991,0.00043116297],"domain_scores_gemma":[0.9887172,0.0064184144,0.00042761545,0.00062607956,0.0018503092,0.0019603763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013617345,0.001032994,0.0010704274,0.0019485859,0.004214859,0.011849464,0.0030426478,0.011739218,0.011830361],"category_scores_gemma":[0.00821388,0.00032419036,0.0009498654,0.002246235,0.027534006,0.028706925,0.0068473765,0.014588075,0.0023105873],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055418433,0.000060737744,0.0005490555,0.00064200896,0.000023495808,0.00020811813,0.0035215071,0.0003567674,0.00043402653,0.82211256,0.12916061,0.042875625],"study_design_scores_gemma":[0.00001300055,0.000020340383,0.00037189806,0.0007644325,0.0000066257544,0.00019550938,0.0068012015,0.0003815032,0.000091411304,0.5270796,0.46424487,0.000029511377],"about_ca_topic_score_codex":0.0047608,"about_ca_topic_score_gemma":0.0038358748,"teacher_disagreement_score":0.013617345,"about_ca_system_score_codex":0.0055529973,"about_ca_system_score_gemma":0.007044493,"threshold_uncertainty_score":0.0720163},"labels":[],"label_agreement":null},{"id":"W3166935789","doi":"10.5194/bg-18-4491-2021","title":"Stable isotope ratios in seawater nitrate reflect the influence of Pacific water along the northwest Atlantic margin","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University; ArcticNet; Universität Basel","keywords":"Oceanography; Photic zone; Seawater; Nitrate; North Atlantic Deep Water; Geology; Salinity; Water mass; Nutrient; Environmental science; Thermohaline circulation; Phytoplankton; Chemistry","score_opus":0.010030816706412739,"score_gpt":0.2243301937424465,"score_spread":0.21429937703603377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166935789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988663,0.000056616256,0.00021593068,0.000023921035,0.000002208332,6.1796345e-7,0.00012061318,0.00000415169,0.00070973596],"genre_scores_gemma":[0.99940836,0.000038060665,0.00013144944,0.0000055963933,6.692977e-7,5.7532395e-7,0.00007982694,0.0000027101337,0.00033270966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999697,0.000004440112,0.0000020714456,0.000012118403,0.0000074181244,0.000004267352],"domain_scores_gemma":[0.9998833,0.000023360377,0.00002783856,0.000007332983,0.000043412627,0.0000146945895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001592239,0.000088983295,0.00008535903,0.00017648091,0.00019238426,0.00031451863,0.00013179857,0.00013900783,0.0008063387],"category_scores_gemma":[0.00038403794,0.00010433027,0.00008487618,0.0001456434,0.00017605789,0.0001921597,0.00020074139,0.0001294558,0.00011570113],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012561075,0.00001089511,0.9360095,0.000012467395,0.0000325459,0.000047777827,0.00010398353,0.0016871844,0.05361392,0.00024399189,0.00012063014,0.007991398],"study_design_scores_gemma":[0.0000019143931,0.000011047345,0.99482757,0.0000034366299,0.000009370879,0.000018868757,0.00009935417,0.0027409515,0.0019359438,0.00007980401,0.00026904332,0.0000026874072],"about_ca_topic_score_codex":0.06371609,"about_ca_topic_score_gemma":0.14012823,"teacher_disagreement_score":0.06371609,"about_ca_system_score_codex":0.0005411395,"about_ca_system_score_gemma":0.00033266866,"threshold_uncertainty_score":0.12669045},"labels":[],"label_agreement":null},{"id":"W3172986754","doi":"10.5194/bg-18-4919-2021","title":"Fluvial carbon dioxide emission from the Lena River basin during the spring flood","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Government Council on Grants, Russian Federation; Russian Science Foundation; Vetenskapsrådet; Belmont Forum; Försvarsdepartementet, Sveriges","keywords":"Permafrost; Tributary; Environmental science; Hydrology (agriculture); Drainage basin; Greenhouse gas; Transect; Climate change; Physical geography; Geology; Oceanography; Geography","score_opus":0.024864502762070795,"score_gpt":0.2141823238882927,"score_spread":0.1893178211262219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172986754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99918693,0.00001848403,0.000025584093,0.000007955586,0.0000012884583,0.0000016745248,0.00037069066,0.0000049381906,0.00038250978],"genre_scores_gemma":[0.99920887,0.000019870566,0.000055522443,0.000005370046,0.0000019467686,0.0000062104755,0.0005055514,0.000001821386,0.00019495984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999554,0.000007543333,0.0000040885357,0.000014327762,0.000008085418,0.000010550009],"domain_scores_gemma":[0.9999167,0.000017221348,0.000017966333,0.0000062820504,0.00001980963,0.000022051934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011404254,0.0002463174,0.00017776767,0.00042700476,0.000475975,0.00043973792,0.00013924317,0.00019173016,0.00044478444],"category_scores_gemma":[0.00013629849,0.000122727,0.00019791379,0.0004263111,0.00018056403,0.00021175147,0.00026777267,0.00015161537,0.00009642351],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017662965,0.000045892673,0.98362684,0.00002941863,0.000072800976,0.0002589779,0.000374705,0.0014995147,0.009137255,0.000043625696,0.0002651553,0.004469129],"study_design_scores_gemma":[0.0000023807318,0.000008993825,0.9984243,0.0000019656788,0.0000068078134,0.000016254538,0.00011116418,0.0008982493,0.0003717842,0.000008592204,0.00014699092,0.0000025331403],"about_ca_topic_score_codex":0.027099006,"about_ca_topic_score_gemma":0.043078974,"teacher_disagreement_score":0.027099006,"about_ca_system_score_codex":0.00048899127,"about_ca_system_score_gemma":0.00024867116,"threshold_uncertainty_score":0.05388254},"labels":[],"label_agreement":null},{"id":"W3173898751","doi":"10.5194/bg-18-4937-2021","title":"Estimated effect of the permafrost carbon feedback on the zero emissions commitment to climate change","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Permafrost; Greenhouse gas; Environmental science; Climate change; Carbon cycle; Carbon fibers; Earth system science; Atmospheric sciences; Lag; Atmosphere (unit); Global warming; Coupled model intercomparison project; Climate model; Climatology; Meteorology; Geology; Physics; Ecosystem; Ecology; Mathematics; Computer science","score_opus":0.061320228692370964,"score_gpt":0.27517013562827813,"score_spread":0.21384990693590716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3173898751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99404246,0.00009026101,0.0022907604,0.00020256118,0.000014085132,0.00002216232,0.00052028266,0.000037884554,0.0027795646],"genre_scores_gemma":[0.99930453,0.000012765916,0.00034168383,0.00002627798,0.0000015081707,0.000011398919,0.00017931881,0.0000036669053,0.00011879352],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999366,0.00033310542,0.000026159621,0.00010520162,0.00009459621,0.00007496348],"domain_scores_gemma":[0.99456125,0.004005825,0.0004015396,0.0003499311,0.00041273978,0.00026866773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023362215,0.00039867836,0.00027387176,0.00024683742,0.00031891218,0.0006635244,0.00048845925,0.00054150063,0.002125757],"category_scores_gemma":[0.007880106,0.00020224684,0.0004915911,0.0002051205,0.00051907473,0.0007632792,0.00079027255,0.0010510755,0.00015489949],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004237195,0.00052601803,0.23674995,0.00025148856,0.00051448715,0.00037637167,0.00011867492,0.69583476,0.021455344,0.013314286,0.0016324498,0.02498896],"study_design_scores_gemma":[0.00045688893,0.002308093,0.34037966,0.00004683283,0.0003620056,0.00015334321,0.0003391071,0.6126974,0.025516337,0.015082285,0.0025377197,0.00012030905],"about_ca_topic_score_codex":0.0064547956,"about_ca_topic_score_gemma":0.0035897426,"teacher_disagreement_score":0.0064547956,"about_ca_system_score_codex":0.0009775376,"about_ca_system_score_gemma":0.0005147051,"threshold_uncertainty_score":0.01283443},"labels":[],"label_agreement":null},{"id":"W3174919825","doi":"10.5194/bg-18-3917-2021","title":"First pan-Arctic assessment of dissolved organic carbon in lakes of the permafrost region","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"FP7 Ideas: European Research Council; National Science Foundation","keywords":"Permafrost; Dissolved organic carbon; Thermokarst; Tundra; Arctic; Physical geography; Environmental science; Total organic carbon; Hydrology (agriculture); Carbon cycle; Ecoregion; Geology; Environmental chemistry; Oceanography; Ecosystem; Ecology; Geography; Chemistry","score_opus":0.032158303316740494,"score_gpt":0.24875932816690763,"score_spread":0.21660102485016713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174919825","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898503,0.0012375404,0.0005965923,0.000053988446,0.000010686507,0.000010376068,0.006714087,0.000023399783,0.0015030933],"genre_scores_gemma":[0.989958,0.00052898773,0.0019659603,0.000044756503,0.000015913925,0.000026253694,0.007037971,0.000012196952,0.00040989844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977654,0.000041264226,0.00002041029,0.00006127793,0.00006134745,0.000039139144],"domain_scores_gemma":[0.99927694,0.000053729556,0.000097487915,0.000036867223,0.0004426534,0.00009236468],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007282947,0.00035547843,0.00035703785,0.0012047556,0.00093018136,0.00078785926,0.00019192112,0.00024564663,0.00049947813],"category_scores_gemma":[0.0005619911,0.00015978329,0.0004622113,0.0019014657,0.00015115042,0.00040167262,0.00054945407,0.00019874412,0.00012645191],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020603758,0.000032627653,0.9768981,0.00012403156,0.00031549507,0.00007912269,0.00043334722,0.00071972224,0.007441131,0.00008144962,0.00061527744,0.01305377],"study_design_scores_gemma":[0.0000039071692,0.000019587484,0.9945867,0.000032900985,0.00010688035,0.000030564493,0.00043041928,0.0011841102,0.001501985,0.00003328967,0.0020636693,0.000005834748],"about_ca_topic_score_codex":0.10479316,"about_ca_topic_score_gemma":0.18524411,"teacher_disagreement_score":0.10479316,"about_ca_system_score_codex":0.0009264665,"about_ca_system_score_gemma":0.0011740129,"threshold_uncertainty_score":0.2083664},"labels":[],"label_agreement":null},{"id":"W3184896212","doi":"10.5194/bg-18-4305-2021","title":"Nitrogen loss processes in response to upwelling in a Peruvian coastal setting dominated by denitrification – a mesocosm approach","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Wastewater Treatment and Nitrogen Removal","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Strong","keywords":"Mesocosm; Upwelling; Denitrification; Environmental science; Oceanography; Nitrogen; Ecology; Nutrient; Geology; Biology; Chemistry","score_opus":0.010948041932983509,"score_gpt":0.2299519052479384,"score_spread":0.2190038633149549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3184896212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992816,0.000088691726,0.00028056692,0.000016876596,0.0000027866986,0.000014206058,0.000089967616,0.00000571728,0.00021962616],"genre_scores_gemma":[0.99736065,0.00017203746,0.0014582179,0.000052120507,0.000006707788,0.00009021863,0.00026976026,0.0000050270596,0.0005853071],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998776,0.000017010685,0.0000075215844,0.000063487445,0.000019462712,0.000014999469],"domain_scores_gemma":[0.99985135,0.000032410087,0.00003444723,0.00002607248,0.000027595654,0.00002810718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024498775,0.00027027243,0.0003355489,0.00022744072,0.00039126968,0.0003673314,0.00030548315,0.0002879704,0.00043513003],"category_scores_gemma":[0.00016650268,0.00016886435,0.00037852296,0.00022889131,0.00028950183,0.0003061981,0.0005673371,0.00048646028,0.00008415976],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006345601,0.0002720361,0.092046976,0.00009009363,0.00007313001,0.00018914886,0.0007427779,0.00061593833,0.8983848,0.00011517734,0.00007767408,0.006757735],"study_design_scores_gemma":[0.000052249445,0.0010510797,0.9295021,0.000015359417,0.00011251287,0.00013917833,0.001033554,0.011520823,0.05458103,0.000151479,0.0018219986,0.000018611892],"about_ca_topic_score_codex":0.008081974,"about_ca_topic_score_gemma":0.013022709,"teacher_disagreement_score":0.008081974,"about_ca_system_score_codex":0.0005686618,"about_ca_system_score_gemma":0.0003424021,"threshold_uncertainty_score":0.016069889},"labels":[],"label_agreement":null},{"id":"W3205369748","doi":"10.5194/bg-18-5681-2021","title":"Evaluation of denitrification and decomposition from three biogeochemical models using laboratory measurements of N <sub>2</sub> , N <sub>2</sub> O and CO <sub>2</sub>","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil and Water Nutrient Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Thünen-Institut; Deutsche Forschungsgemeinschaft","keywords":"Denitrification; Loam; Biogeochemical cycle; Soil water; Chemistry; Environmental chemistry; Nitrogen; Cycling; Soil science; Nitrogen cycle; Flux (metallurgy); Water content; Volatilisation; Environmental science; Animal science; Biology","score_opus":0.0478302945737325,"score_gpt":0.2673340842551059,"score_spread":0.2195037896813734,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205369748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503714,0.000032885575,0.004216359,0.000019599045,0.0000065045015,0.000023731453,0.00013962427,0.000086072054,0.00043810782],"genre_scores_gemma":[0.99683124,0.000021569827,0.0028224401,0.000004978136,0.000001031032,0.000034516153,0.0001805038,0.000009988194,0.00009364013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997447,0.000056566267,0.000022851524,0.000098017954,0.000045883913,0.0000319426],"domain_scores_gemma":[0.9991431,0.0004997435,0.00008087487,0.00005931763,0.00015167757,0.000065265696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011460481,0.0010742336,0.00043527214,0.00022115496,0.00033456297,0.0005771577,0.0006046039,0.0006927724,0.00036830181],"category_scores_gemma":[0.0016332321,0.00041766142,0.00072288973,0.00016725501,0.00023596364,0.00047271108,0.00032923682,0.00069972046,0.000089978035],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014108226,0.0006357775,0.06828286,0.0001686258,0.00032434793,0.00011886958,0.00014033148,0.83675504,0.07573083,0.0004725576,0.00017432318,0.015785674],"study_design_scores_gemma":[0.00005532421,0.00035166292,0.016254876,0.000004892951,0.000054373075,0.000012841379,0.000023594439,0.95393157,0.029066123,0.000101497055,0.0001252392,0.000018008892],"about_ca_topic_score_codex":0.018835003,"about_ca_topic_score_gemma":0.0133362105,"teacher_disagreement_score":0.018835003,"about_ca_system_score_codex":0.001786375,"about_ca_system_score_gemma":0.00069127633,"threshold_uncertainty_score":0.03745073},"labels":[],"label_agreement":null},{"id":"W3207574327","doi":"10.5194/bg-18-5555-2021","title":"Exploring the use of compound-specific carbon isotopes as a palaeoproductivity proxy off the coast of Adélie Land, East Antarctica","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Environment Research Council; Institut Polaire Français Paul Emile Victor; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique; European Commission; Sight Research UK","keywords":"Productivity; Oceanography; δ13C; Proxy (statistics); Environmental science; Isotopes of carbon; Phytoplankton; Context (archaeology); Geology; Total organic carbon; Stable isotope ratio; Ecology; Biology; Paleontology","score_opus":0.13857238217175963,"score_gpt":0.2559114401614319,"score_spread":0.11733905798967229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207574327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99913234,0.000092595685,0.00006873841,0.000020029367,0.0000020490459,0.0000018405983,0.00021440526,0.0000025239463,0.00046554688],"genre_scores_gemma":[0.99925,0.00006748957,0.00028595436,0.000011531404,0.0000020362406,0.0000033745464,0.00019495319,0.000001907599,0.0001827131],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999349,0.000013885174,0.000005770933,0.00001870237,0.000009745377,0.000017022014],"domain_scores_gemma":[0.999788,0.000050805356,0.0000556045,0.000019534044,0.000052005904,0.000034012628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028173547,0.00025435348,0.00015525379,0.0011003431,0.0004570492,0.00065339694,0.00022141618,0.00020898548,0.0007998427],"category_scores_gemma":[0.0005146818,0.0001233627,0.000167805,0.0009699862,0.00033073837,0.00032850282,0.00035353852,0.00020011628,0.00012428615],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000139805,0.000032481075,0.9655497,0.00005679714,0.00014888594,0.00022763923,0.00029837326,0.0012297103,0.021807004,0.000090303976,0.00012108994,0.010298247],"study_design_scores_gemma":[0.0000054719526,0.000028651657,0.9955271,0.00001092735,0.00002972926,0.00008461506,0.00029467387,0.0012125352,0.002177148,0.000034953046,0.000588658,0.000005523407],"about_ca_topic_score_codex":0.041946147,"about_ca_topic_score_gemma":0.12813205,"teacher_disagreement_score":0.041946147,"about_ca_system_score_codex":0.0007298107,"about_ca_system_score_gemma":0.000530329,"threshold_uncertainty_score":0.083404005},"labels":[],"label_agreement":null},{"id":"W3210387745","doi":"10.5194/bg-18-5831-2021","title":"Fast local warming is the main driver of recent deoxygenation in the northern Arabian Sea","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; York University; New York University Abu Dhabi","keywords":"Hindcast; Environmental science; Climatology; Oceanography; Sea surface temperature; Deoxygenation; Period (music); Atmospheric sciences; Geology","score_opus":0.015058096504062621,"score_gpt":0.21185008655089665,"score_spread":0.19679199004683404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3210387745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847776,0.00007610482,0.00033209883,0.00012140183,0.000012519862,0.000003920607,0.00022454008,0.00001856796,0.00073303404],"genre_scores_gemma":[0.9993498,0.000056376946,0.00016847106,0.00002390337,0.00000391459,0.000003620607,0.00020434613,0.00000541508,0.00018416489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999325,0.000020578742,0.000005171105,0.00001839479,0.0000061865417,0.00001714545],"domain_scores_gemma":[0.9998266,0.000050479764,0.00003324547,0.000015478843,0.00002853252,0.000045714747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030420875,0.0004710601,0.00029678954,0.00023538347,0.00043435092,0.0008466489,0.00037587102,0.0007350231,0.0013227552],"category_scores_gemma":[0.00070020783,0.00025313464,0.0008648427,0.00027009804,0.0003984612,0.00046621438,0.0005368474,0.00044511337,0.000104972925],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002854571,0.0001450306,0.20409557,0.000075694734,0.00030680967,0.00033882045,0.00014935905,0.77978784,0.009360501,0.0013715504,0.00081070437,0.0032726661],"study_design_scores_gemma":[0.00014129079,0.00015916459,0.13416126,0.000020626134,0.00010792542,0.00006993974,0.00029929978,0.861474,0.0018315923,0.000668604,0.0010283678,0.00003800723],"about_ca_topic_score_codex":0.05697095,"about_ca_topic_score_gemma":0.029279076,"teacher_disagreement_score":0.05697095,"about_ca_system_score_codex":0.0007486955,"about_ca_system_score_gemma":0.00071307534,"threshold_uncertainty_score":0.11327869},"labels":[],"label_agreement":null},{"id":"W4200046819","doi":"10.5194/bg-18-6455-2021","title":"Impact of moderately energetic fine-scale dynamics on the phytoplankton community structure in the western Mediterranean Sea","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Centre National d’Etudes Spatiales","keywords":"Phytoplankton; Environmental science; Oceanography; Sampling (signal processing); Mediterranean sea; Water mass; Isopycnal; Mesoscale meteorology; Ocean current; Front (military); Satellite; Biogeochemical cycle; Boundary current; Atmospheric sciences; Climatology; Mediterranean climate; Geology; Geography; Ecology; Physics","score_opus":0.02557774549840948,"score_gpt":0.23996561138163047,"score_spread":0.214387865883221,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200046819","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99980146,0.000013453622,0.00005552836,0.0000076166516,9.952832e-7,0.000001019994,0.000023221424,0.0000025243241,0.00009416811],"genre_scores_gemma":[0.9998814,0.000009124261,0.000033934088,0.000004114529,0.0000013330584,7.5342234e-7,0.000031965832,8.388465e-7,0.000036587375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992824,0.000017023003,0.0000056042086,0.000016819384,0.000010618927,0.000021721318],"domain_scores_gemma":[0.99976784,0.0000530073,0.000055406945,0.000016947999,0.000027992646,0.00007879647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023017003,0.0002803756,0.00020333196,0.00033269147,0.0002631199,0.000464675,0.00015974186,0.00031159015,0.0006740874],"category_scores_gemma":[0.000637054,0.00012568099,0.00033515325,0.00015212191,0.00021787945,0.00024648488,0.00042809293,0.00015132217,0.000073382434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038116027,0.00015388611,0.929914,0.00004328078,0.0002240651,0.00063327345,0.00020355804,0.01723452,0.042062372,0.00017020063,0.00021660501,0.008763122],"study_design_scores_gemma":[0.000011552616,0.00006912775,0.98431844,0.0000029631453,0.000018304021,0.000022317256,0.00010613117,0.014884097,0.00041909452,0.000046167297,0.000097604556,0.0000042610495],"about_ca_topic_score_codex":0.012912801,"about_ca_topic_score_gemma":0.011483338,"teacher_disagreement_score":0.012912801,"about_ca_system_score_codex":0.00048726433,"about_ca_system_score_gemma":0.00019337996,"threshold_uncertainty_score":0.025675297},"labels":[],"label_agreement":null},{"id":"W4200218022","doi":"10.5194/bg-18-6287-2021","title":"Anthropogenic CO <sub>2</sub> -mediated freshwater acidification limits survival, calcification, metabolism, and behaviour in stress-tolerant freshwater crustaceans","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Science and Technology, Taiwan","keywords":"Ocean acidification; Freshwater ecosystem; Biology; Ecology; Ecosystem; Freshwater fish; Crustacean; Eriocheir; Aquatic ecosystem; Aquatic animal; Freshwater shrimp; Homeostasis; Zoology; Fishery; Shrimp; Seawater; Fish <Actinopterygii>","score_opus":0.01969355685271955,"score_gpt":0.24634584133555323,"score_spread":0.2266522844828337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200218022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995845,0.000087592496,0.000054873344,0.000008398144,0.0000012497936,0.0000014505481,0.00003475341,0.0000026552698,0.00022463252],"genre_scores_gemma":[0.9996019,0.000047019494,0.0000632915,0.00001697171,6.89421e-7,0.000003948222,0.000045995337,9.790315e-7,0.00021929445],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999442,0.0000067430497,0.000004245494,0.000017987091,0.000010614206,0.000016160793],"domain_scores_gemma":[0.9998734,0.000011724798,0.00004288524,0.00000963381,0.000014610908,0.000047696893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000085116655,0.00015708059,0.00015492961,0.00015183918,0.00021764816,0.00032802246,0.00012716945,0.00017253683,0.0010548909],"category_scores_gemma":[0.000119393015,0.000098369,0.00011839037,0.000121321995,0.00031654164,0.00016813782,0.000382674,0.00018886244,0.00008359252],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005337047,0.000055836394,0.103399456,0.00009003999,0.000044759985,0.0001798386,0.0002436358,0.0002608429,0.89121467,0.00010264529,0.00007895142,0.0037955444],"study_design_scores_gemma":[0.000006255228,0.00032487247,0.97063464,0.000006004269,0.000022823531,0.00012083185,0.00046583722,0.00078418123,0.027074005,0.00006672199,0.00048717257,0.000006606573],"about_ca_topic_score_codex":0.00405799,"about_ca_topic_score_gemma":0.00839302,"teacher_disagreement_score":0.00405799,"about_ca_system_score_codex":0.00026837562,"about_ca_system_score_gemma":0.00021720432,"threshold_uncertainty_score":0.00806874},"labels":[],"label_agreement":null},{"id":"W4200549059","doi":"10.5194/bg-18-6271-2021","title":"A modelling study of temporal and spatial <i>p</i> CO <sub>2</sub> variability on the biologically active and temperature-dominated Scotian Shelf","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dalhousie University; McGill University; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Marine Environmental Observation Prediction and Response Network","keywords":"Upwelling; Oceanography; Environmental science; Surface water; Latitude; Ocean acidification; pCO2; Continental shelf; Atmospheric sciences; Climate change; Climatology; Geology","score_opus":0.014606647358837842,"score_gpt":0.20366971276085283,"score_spread":0.18906306540201498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200549059","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976835,0.00006216974,0.0007470906,0.000089562,0.000009291705,0.000007549767,0.00038584074,0.000029215335,0.0009856647],"genre_scores_gemma":[0.9990707,0.00003168015,0.00038489638,0.0000098367655,0.0000036236715,0.0000063029306,0.00018636441,0.0000058646096,0.00030074976],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992347,0.000017838849,0.000004385106,0.000024535086,0.000009441633,0.000020289908],"domain_scores_gemma":[0.9996816,0.000104656865,0.00006503705,0.00002939442,0.00006058166,0.000058773167],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027830945,0.00048090765,0.0002856086,0.0003127792,0.00046877313,0.00092080387,0.0007562231,0.00069847197,0.001202827],"category_scores_gemma":[0.00059052045,0.00035436876,0.00067721197,0.00043849324,0.00044093843,0.0003275309,0.00033203527,0.00043743532,0.00013559654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015195244,0.00007504121,0.06552239,0.000029464345,0.00013045348,0.00029304714,0.000048089936,0.9285249,0.002771916,0.0005732755,0.0004827086,0.0013966444],"study_design_scores_gemma":[0.000022223818,0.00003141068,0.022220349,0.0000041368157,0.000023138775,0.00001665084,0.000045424134,0.9771145,0.00021715494,0.00007785467,0.00021844941,0.000008668678],"about_ca_topic_score_codex":0.42983678,"about_ca_topic_score_gemma":0.28416464,"teacher_disagreement_score":0.42983678,"about_ca_system_score_codex":0.002151336,"about_ca_system_score_gemma":0.0014283546,"threshold_uncertainty_score":0.8546697},"labels":[],"label_agreement":null},{"id":"W4200589408","doi":"10.5194/bg-18-6517-2021","title":"Strong temporal variation in treefall and branchfall rates in a tropical forest is related to extreme rainfall: results from 5 years of monthly drone data for a 50 ha plot","year":2021,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Smithsonian Tropical Research Institute; U.S. Department of Energy; Biological and Environmental Research; Office of Science; Smithsonian Institution","keywords":"Canopy; Environmental science; Atmospheric sciences; Disturbance (geology); Storm; Spatial variability; Climate change; Ecology; Physical geography; Geography; Biology; Meteorology; Geology","score_opus":0.02972251936722818,"score_gpt":0.24336874211174192,"score_spread":0.21364622274451373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200589408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991591,0.000026336997,0.00009715956,0.0000063502434,0.0000014351531,0.0000031592388,0.00060998945,0.0000050069507,0.00009145289],"genre_scores_gemma":[0.99811673,0.000022559703,0.00027859493,0.000005444225,0.000002975949,0.000006120826,0.0015093355,0.0000027757999,0.000055432993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978,0.000038987924,0.00002946931,0.00007189993,0.000037703252,0.000042030264],"domain_scores_gemma":[0.9991492,0.00021746385,0.00028974767,0.00009095897,0.00013363743,0.00011893261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047023303,0.00020708347,0.00016571533,0.00082632096,0.0002926359,0.00037923918,0.00018864828,0.00026386374,0.00046505497],"category_scores_gemma":[0.0010400568,0.00011975344,0.00033932575,0.00074799056,0.0001717498,0.0003575643,0.00030585384,0.00022866928,0.00010936917],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011083027,0.00008015822,0.9933361,0.000012552745,0.00009592346,0.00008707957,0.00013378591,0.0008509281,0.002066664,0.000010358983,0.00012151655,0.003094095],"study_design_scores_gemma":[0.0000018440655,0.000031132942,0.99751127,0.0000026181474,0.000015743604,0.000056087047,0.000118946744,0.0019473602,0.00021476284,0.0000045412035,0.000092201655,0.0000035894661],"about_ca_topic_score_codex":0.019723907,"about_ca_topic_score_gemma":0.042388313,"teacher_disagreement_score":0.019723907,"about_ca_system_score_codex":0.00021373872,"about_ca_system_score_gemma":0.00011097207,"threshold_uncertainty_score":0.039218187},"labels":[],"label_agreement":null},{"id":"W4212987229","doi":"10.5194/bg-19-907-2022","title":"Evaluating the Arabian Sea as a regional source of atmospheric CO <sub>2</sub> : seasonal variability and drivers","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Tamkeen; York University; New York University Abu Dhabi","keywords":"Upwelling; Environmental science; Alkalinity; Oceanography; Climatology; Carbon cycle; Monsoon; Atmospheric sciences; Bathythermograph; Geology; Chemistry; Ecosystem; Biology","score_opus":0.02184306384713424,"score_gpt":0.23715108064861257,"score_spread":0.21530801680147832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212987229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852765,0.00009340546,0.00050366076,0.00008906235,0.000004440831,0.000005097535,0.000321234,0.000012495723,0.0004429726],"genre_scores_gemma":[0.99903214,0.00006937907,0.00042541823,0.000011649268,0.000003818179,0.000002607397,0.00034564856,0.000004743953,0.00010473899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998809,0.00003661912,0.000008580744,0.00003070768,0.000024099307,0.000019122735],"domain_scores_gemma":[0.999456,0.00016268178,0.000100891935,0.00003023994,0.00018610923,0.00006401472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050585665,0.00041917153,0.0001667375,0.0005190401,0.00019785736,0.0008780842,0.00034876147,0.00034830876,0.0005311881],"category_scores_gemma":[0.0009292158,0.00015247567,0.00029272772,0.00069951115,0.00016436966,0.00058214384,0.00034467177,0.00020556535,0.00013435006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023764132,0.00009155268,0.9023394,0.00008168897,0.00023659162,0.00021996914,0.00012708614,0.07420511,0.007985984,0.000782046,0.00073299935,0.012960006],"study_design_scores_gemma":[0.00001650841,0.000100249585,0.49542317,0.000018063012,0.00010627627,0.00006711082,0.00075917644,0.49764213,0.0043433458,0.0004723311,0.0010289118,0.000022833394],"about_ca_topic_score_codex":0.067325905,"about_ca_topic_score_gemma":0.04809521,"teacher_disagreement_score":0.067325905,"about_ca_system_score_codex":0.0009104468,"about_ca_system_score_gemma":0.00066234946,"threshold_uncertainty_score":0.13386804},"labels":[],"label_agreement":null},{"id":"W4214926578","doi":"10.5194/bg-19-1277-2022","title":"Marine CO <sub>2</sub> system variability along the northeast Pacific Inside Passage determined from an Alaskan ferry","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tula Foundation","funders":"Tula Foundation; U.S. Department of Transportation; Hakai Institute; David and Lucile Packard Foundation; National Science Foundation","keywords":"Oceanography; Aragonite; Salinity; Alkalinity; Seawater; Environmental science; Ocean acidification; Geology; Chemistry; Mineralogy","score_opus":0.012288784336857761,"score_gpt":0.20938554156214426,"score_spread":0.1970967572252865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214926578","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987914,0.000011383618,0.000056174933,0.0000066707125,0.0000012331718,0.0000027920764,0.00036635375,0.000006314529,0.00075776887],"genre_scores_gemma":[0.998531,0.000019225125,0.00018103953,0.0000062567287,0.000002400505,0.0000067209708,0.0007299474,0.0000030048411,0.0005204643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993384,0.0000050645926,0.0000046697905,0.00002474995,0.00002050599,0.000011133804],"domain_scores_gemma":[0.999775,0.000021402664,0.000049331044,0.000015479729,0.00008732857,0.0000514689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014579638,0.00019585986,0.0001244631,0.0007226518,0.00065254036,0.0003989137,0.00019727452,0.0001595966,0.00093510194],"category_scores_gemma":[0.00029688433,0.000081458405,0.00015555088,0.0005710356,0.00020656758,0.00018869774,0.00029938933,0.00016123203,0.00019399144],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000058900187,0.000023914723,0.9905103,0.0000067569945,0.00003170332,0.00022918133,0.0007225389,0.00037807858,0.0033943355,0.000038825754,0.00028084114,0.004324644],"study_design_scores_gemma":[4.68317e-7,0.000012657005,0.9989851,0.0000019816605,0.0000049595806,0.00003208726,0.00022158524,0.00031365716,0.00018028193,0.000006013095,0.00023961773,0.0000016037451],"about_ca_topic_score_codex":0.28783217,"about_ca_topic_score_gemma":0.397848,"teacher_disagreement_score":0.28783217,"about_ca_system_score_codex":0.0008529595,"about_ca_system_score_gemma":0.0004335023,"threshold_uncertainty_score":0.5723136},"labels":[],"label_agreement":null},{"id":"W4220804494","doi":"10.5194/bg-19-359-2022","title":"Ideas and perspectives: Emerging contours of a dynamic exogenous kerogen cycle","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Agency for Marine-Earth Science and Technology","keywords":"Kerogen; Weathering; Glacial period; Geology; Earth science; Deglaciation; Carbon cycle; Ice core; Snowball Earth; Isotopes of carbon; Paleontology; Oceanography; Total organic carbon; Source rock; Chemistry; Environmental chemistry; Ecology","score_opus":0.016982850388350554,"score_gpt":0.24851080908755618,"score_spread":0.23152795869920562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220804494","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08696388,0.0585599,0.087140195,0.54641175,0.0036644344,0.000055052606,0.00094853865,0.00032878914,0.21592748],"genre_scores_gemma":[0.9376463,0.02061588,0.015491345,0.0149170095,0.0037616512,0.00011302289,0.00028827903,0.00016134893,0.0070051136],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99873275,0.00054053206,0.000033586075,0.00038972235,0.00017660827,0.00012683922],"domain_scores_gemma":[0.9947178,0.0029443896,0.0005118744,0.00065171963,0.0005500565,0.00062408386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0043003494,0.00061600615,0.0007707844,0.0019785988,0.002438109,0.01115981,0.0022371705,0.004434742,0.008497199],"category_scores_gemma":[0.00503249,0.00036130595,0.00068766234,0.0015442248,0.029301729,0.018922746,0.0039772703,0.005572992,0.00085046195],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026595748,0.000012730804,0.0006579285,0.00007385277,0.000011065461,0.00010757276,0.0009292948,0.00061010965,0.00019550804,0.9884801,0.0019835318,0.006911576],"study_design_scores_gemma":[0.000005986851,0.000007441412,0.00064779277,0.00005778724,0.0000049320756,0.00005441147,0.0014975283,0.0011553477,0.00007383478,0.9743052,0.02217608,0.000013720531],"about_ca_topic_score_codex":0.0018784861,"about_ca_topic_score_gemma":0.0015784611,"teacher_disagreement_score":0.01115981,"about_ca_system_score_codex":0.0031727853,"about_ca_system_score_gemma":0.0020947761,"threshold_uncertainty_score":0.028425992},"labels":[],"label_agreement":null},{"id":"W4220866607","doi":"10.5194/bg-19-1547-2022","title":"Climate, land cover and topography: essential ingredients in predicting wetland permanence","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"Alberta Innovates; Ontario Trillium Foundation","keywords":"Wetland; Land cover; Boreal; Environmental science; Climate change; Grassland; Physical geography; Taiga; Land use; Climatology; Hydrology (agriculture); Geography; Ecology; Forestry; Geology","score_opus":0.006667186012929077,"score_gpt":0.21237871877794323,"score_spread":0.20571153276501417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220866607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985929,0.00006455275,0.0006712865,0.00003716761,0.000003429487,0.0000050189337,0.00024052834,0.00002573023,0.00035926836],"genre_scores_gemma":[0.9988059,0.000016842152,0.0006703356,0.000005785439,0.0000023018858,0.0000017540605,0.0003307418,0.0000032365872,0.00016308406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991584,0.00002163575,0.0000045833312,0.000020842506,0.000015275935,0.000021840278],"domain_scores_gemma":[0.99946696,0.00019461632,0.000084771724,0.000033980697,0.000091730915,0.00012798647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005956934,0.0003244306,0.00018159566,0.00039064017,0.00033030857,0.0007023552,0.000232603,0.00025140579,0.0010411672],"category_scores_gemma":[0.0012433502,0.00018384171,0.00039192743,0.00045039863,0.00024215663,0.00040031236,0.000370097,0.00036987162,0.00021908186],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006393957,0.000029744477,0.98585576,0.000008994436,0.00004455557,0.00004403573,0.000037954112,0.006800701,0.001119602,0.000033927787,0.00020710555,0.0057536648],"study_design_scores_gemma":[0.000003743832,0.000019569228,0.9652784,0.000005540618,0.000020225112,0.000027101174,0.00009401825,0.034045823,0.00024623936,0.0000649487,0.00018905467,0.000005415223],"about_ca_topic_score_codex":0.09775604,"about_ca_topic_score_gemma":0.24268405,"teacher_disagreement_score":0.09775604,"about_ca_system_score_codex":0.0004755693,"about_ca_system_score_gemma":0.0005634065,"threshold_uncertainty_score":0.19437402},"labels":[],"label_agreement":null},{"id":"W4220868479","doi":"10.5194/bg-19-1657-2022","title":"Tidal mixing of estuarine and coastal waters in the western English Channel is a control on spatial and temporal variability in seawater CO <sub>2</sub>","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Interreg; FP7 Research infrastructures; Horizon 2020; Horizon 2020 Framework Programme; Natural Environment Research Council; Sight Research UK","keywords":"Oceanography; Estuary; Transect; Spatial variability; Seawater; Bay; Environmental science; Salinity; Surface water; Flux (metallurgy); Spatial ecology; Channel (broadcasting); TRACER; Geology; Hydrology (agriculture); Ecology","score_opus":0.008813085982096512,"score_gpt":0.18811322280017156,"score_spread":0.17930013681807505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220868479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971238,0.000055077475,0.00015979505,0.000023308263,0.00000633871,0.0000043566647,0.00176664,0.000016679967,0.00084405264],"genre_scores_gemma":[0.9954335,0.000060555994,0.00036878185,0.00002138297,0.000005540249,0.000013044623,0.0029655397,0.000018230685,0.0011133598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998135,0.00001478283,0.000020130163,0.0000730655,0.000029551944,0.000048951646],"domain_scores_gemma":[0.99943036,0.00005652675,0.00017377707,0.00007205644,0.00017203874,0.000095136646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000189486,0.00018409887,0.00023823079,0.0004323802,0.00041569542,0.00066923443,0.00027497954,0.00024557332,0.0013565827],"category_scores_gemma":[0.00046277582,0.00017329825,0.00022062192,0.00090599625,0.00031556535,0.00044702282,0.00058209803,0.000190293,0.00034973523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013568702,0.000032417174,0.9813416,0.00004334308,0.00005806913,0.0002524899,0.0007296734,0.00041833823,0.0087680565,0.00007836728,0.0011986044,0.006943433],"study_design_scores_gemma":[0.000003291665,0.0000065829317,0.9980469,0.000005019056,0.0000096112335,0.000021867336,0.00033699052,0.00043322358,0.0002454882,0.000009157057,0.0008769566,0.0000048750203],"about_ca_topic_score_codex":0.12081074,"about_ca_topic_score_gemma":0.26096737,"teacher_disagreement_score":0.12081074,"about_ca_system_score_codex":0.0004962646,"about_ca_system_score_gemma":0.00060321845,"threshold_uncertainty_score":0.24021512},"labels":[],"label_agreement":null},{"id":"W4220952204","doi":"10.5194/bg-19-1421-2022","title":"Ideas and perspectives: Sea-level change, anaerobic methane oxidation, and the glacial–interglacial phosphorus cycle","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Rimouski","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geology; Oceanography; Interglacial; Biogeochemical cycle; Sedimentary rock; Deep sea; Carbon cycle; Deglaciation; Glacial period; Environmental science; Geochemistry; Chemistry; Ecosystem; Geomorphology; Environmental chemistry; Ecology; Holocene","score_opus":0.02426595811396003,"score_gpt":0.23533134200514708,"score_spread":0.21106538389118704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220952204","genre_codex":"commentary","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016849546,0.24894312,0.021921009,0.6422428,0.009728611,0.000023647099,0.0003655006,0.0001404748,0.05978523],"genre_scores_gemma":[0.63367736,0.20448525,0.0147303045,0.0901705,0.04183069,0.0001440672,0.0003234805,0.000105593885,0.014532744],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99898344,0.0006708846,0.000029574925,0.00015277833,0.000095149815,0.00006820521],"domain_scores_gemma":[0.9970348,0.0020555821,0.0002455208,0.00011241929,0.00028646996,0.00026524602],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034403086,0.0011188154,0.00083599036,0.0024824433,0.0015255604,0.00486098,0.0023322515,0.0058163772,0.0074546994],"category_scores_gemma":[0.00219355,0.00023725312,0.00089485344,0.0029709407,0.015011743,0.010975233,0.002320027,0.0049114474,0.0008785353],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035419394,0.0000220499,0.000565237,0.00019998726,0.000023317005,0.00024067919,0.00072255527,0.001134898,0.00010648171,0.9768322,0.010222332,0.009894822],"study_design_scores_gemma":[0.000011061809,0.000015967926,0.0003390739,0.00014405618,0.000007173639,0.000086742904,0.0008841513,0.0011661568,0.000050884515,0.963956,0.033319954,0.000018758916],"about_ca_topic_score_codex":0.0027605665,"about_ca_topic_score_gemma":0.0021133157,"teacher_disagreement_score":0.0074546994,"about_ca_system_score_codex":0.0028632786,"about_ca_system_score_gemma":0.0012997778,"threshold_uncertainty_score":0.024938405},"labels":[],"label_agreement":null},{"id":"W4220993437","doi":"10.5194/bg-19-295-2022","title":"Temporal dynamics of surface ocean carbonate chemistry in response to natural and simulated upwelling events during the 2017 coastal El Niño near Callao, Peru","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica; Bundesministerium für Bildung und Forschung; Leibniz-Gemeinschaft; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Upwelling; Mesocosm; Oceanography; Phytoplankton; Carbonate; Biogeochemical cycle; Environmental science; Surface water; Ocean acidification; Ecosystem; Environmental chemistry; Geology; Climate change; Chemistry; Ecology; Biology; Nutrient","score_opus":0.0072886046757405535,"score_gpt":0.22094484264805872,"score_spread":0.21365623797231817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220993437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932194,0.00002680343,0.00004911341,0.000030465619,0.0000036788576,0.0000064009027,0.00033320798,0.000008007274,0.0002204192],"genre_scores_gemma":[0.9990132,0.00004596167,0.00008861051,0.000014250706,0.0000035832882,0.000023753317,0.0006923347,0.0000022654972,0.00011594756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999348,0.000010012318,0.0000044889193,0.000022098946,0.000014451851,0.000014122702],"domain_scores_gemma":[0.9998116,0.000035269913,0.000050708095,0.0000108877175,0.000045710134,0.000045857414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001681253,0.00026622746,0.00019727134,0.0003200129,0.00027971264,0.00043925928,0.00026388184,0.00036094186,0.00050410785],"category_scores_gemma":[0.00043597,0.00015064998,0.00032803466,0.00032854854,0.00020606125,0.0002620094,0.0004919551,0.00026954288,0.000075913085],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004628459,0.00020699482,0.95702094,0.00008619173,0.00025766745,0.00036799748,0.00053077115,0.0046630483,0.03065653,0.000106302934,0.00072559115,0.00491525],"study_design_scores_gemma":[0.000011875939,0.000055679167,0.99355656,0.000004469995,0.000020533993,0.000014939098,0.00020936846,0.0051307604,0.00070983253,0.000018205856,0.00026181116,0.0000059337435],"about_ca_topic_score_codex":0.031611525,"about_ca_topic_score_gemma":0.054834012,"teacher_disagreement_score":0.031611525,"about_ca_system_score_codex":0.000719242,"about_ca_system_score_gemma":0.0003836129,"threshold_uncertainty_score":0.062855065},"labels":[],"label_agreement":null},{"id":"W4221081052","doi":"10.5194/bg-19-1021-2022","title":"Sea ice concentration impacts dissolved organic gases in the Canadian Arctic","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Natural Environment Research Council; Universität Bremen; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Sight Research UK; ArcticNet; UK Research and Innovation","keywords":"Sea ice; Dimethyl sulfide; Isoprene; Arctic ice pack; Environmental science; Chemistry; Environmental chemistry; Oceanography; Atmospheric sciences; Geology; Sulfur","score_opus":0.013175139542450365,"score_gpt":0.20809595431545944,"score_spread":0.19492081477300907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221081052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950429,0.00049062056,0.00008390647,0.000075612785,0.000012224343,0.000007968464,0.0016209288,0.000009949454,0.0026558235],"genre_scores_gemma":[0.997033,0.00046908387,0.00021461566,0.000055553384,0.0000036041101,0.000005422337,0.0011291486,0.000007855144,0.0010816668],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997434,0.000008994351,0.000007163369,0.000049438608,0.00010521105,0.00008578809],"domain_scores_gemma":[0.99943274,0.000026039279,0.000045975976,0.0000073245074,0.00041311627,0.000074765005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019318885,0.0005101755,0.00033286947,0.00079362694,0.002305168,0.0010725831,0.00035689733,0.00023259546,0.0007960363],"category_scores_gemma":[0.00037520425,0.0002079164,0.00032700298,0.00135459,0.0004240604,0.00026179565,0.0004836625,0.0002812693,0.00012501201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005917864,0.00006261625,0.92357457,0.00016713137,0.00014475758,0.00029662074,0.0009199592,0.0019912778,0.05428882,0.00022085696,0.0012639274,0.016477643],"study_design_scores_gemma":[0.0000042482607,0.000024332518,0.99364257,0.000011249982,0.00003398373,0.00002238741,0.0009185585,0.0006627862,0.0029341888,0.000019503494,0.0017139137,0.00001229024],"about_ca_topic_score_codex":0.9819412,"about_ca_topic_score_gemma":0.9911919,"teacher_disagreement_score":0.018058777,"about_ca_system_score_codex":0.014282687,"about_ca_system_score_gemma":0.012510972,"threshold_uncertainty_score":0.103628635},"labels":[],"label_agreement":null},{"id":"W4221088376","doi":"10.5194/bg-19-1705-2022","title":"Improved prediction of dimethyl sulfide (DMS) distributions in the northeast subarctic Pacific using machine-learning algorithms","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Dimethyl sulfide; Subarctic climate; Mesoscale meteorology; Environmental science; Sea surface temperature; Dimethylsulfoniopropionate; Climatology; Atmospheric sciences; Nutrient; Geology; Oceanography; Chemistry; Phytoplankton","score_opus":0.01845474497771164,"score_gpt":0.21703377393677725,"score_spread":0.19857902895906562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221088376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94576377,0.0003423348,0.05169543,0.00025758534,0.000042432832,0.0000186065,0.0004315899,0.0006125457,0.0008358231],"genre_scores_gemma":[0.985623,0.000060913164,0.013520042,0.000033031924,0.000017461969,0.000012966539,0.0004561059,0.000017261364,0.00025903244],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984074,0.000052923224,0.000010796506,0.000056607856,0.000018577462,0.0000202879],"domain_scores_gemma":[0.9991738,0.0004262734,0.000115310584,0.000051780018,0.00018947318,0.000043244025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001195265,0.0008085037,0.0005482761,0.0006948536,0.00029890134,0.00056450703,0.0005919284,0.0005815482,0.00041488404],"category_scores_gemma":[0.0020336553,0.0002998801,0.00062506273,0.00049678877,0.00020303806,0.0005480664,0.0003182716,0.0006381849,0.00012267646],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000038510807,0.00006819303,0.02461499,0.000010712214,0.00006538962,0.000028697486,0.000009395819,0.961822,0.000562986,0.00010516283,0.00027889793,0.012395164],"study_design_scores_gemma":[0.0000011965819,0.0000024341414,0.0009188571,5.3637694e-7,0.0000017745645,8.605975e-7,0.000001028838,0.99896324,0.00006967729,0.000027048698,0.000012393509,8.829338e-7],"about_ca_topic_score_codex":0.04402747,"about_ca_topic_score_gemma":0.026481941,"teacher_disagreement_score":0.04402747,"about_ca_system_score_codex":0.001004091,"about_ca_system_score_gemma":0.0010056989,"threshold_uncertainty_score":0.087542415},"labels":[],"label_agreement":null},{"id":"W4225726094","doi":"10.5194/bg-19-1871-2022","title":"Low biodegradability of particulate organic carbon mobilized from thaw slumps on the Peel Plateau, NT, and possible chemosynthesis and sorption effects","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; W. Garfield Weston Foundation; Natural Resources Canada; University of Alberta; Environment Canada; ArcticNet; Garfield Weston Foundation; Universities Space Research Association; Aurora Research Institute; Arctic Institute of North America","keywords":"Permafrost; Total organic carbon; Mineralization (soil science); Carbon fibers; Dissolved organic carbon; Carbon sink; Environmental chemistry; Arctic; Carbon cycle; Environmental science; Thermokarst; Geology; Soil science; Climate change; Ecosystem; Chemistry; Oceanography; Ecology; Soil water","score_opus":0.021542033198911206,"score_gpt":0.2072072833759108,"score_spread":0.18566525017699959,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225726094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99931705,0.000028411325,0.000051009163,0.000008269325,7.094717e-7,0.00000186506,0.00010920336,0.0000028054371,0.00048065017],"genre_scores_gemma":[0.99943465,0.00002526995,0.00005540311,0.000004678306,5.664128e-7,0.000001675937,0.00016794843,0.0000016630851,0.0003081347],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992716,0.0000030923027,0.0000026991281,0.000022423716,0.000020516452,0.000024116032],"domain_scores_gemma":[0.99987614,0.00001221064,0.000020319718,0.0000039315196,0.00005588197,0.000031515767],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008117839,0.00017342075,0.00013600184,0.00044770062,0.000878632,0.0005601846,0.00025074938,0.00018195686,0.001420472],"category_scores_gemma":[0.00022612499,0.00009420705,0.00008325839,0.0004075941,0.00037778736,0.0003404764,0.0002143056,0.00018461164,0.00013399949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027366288,0.00005275264,0.8971218,0.00003796656,0.000034673318,0.00035132808,0.00062558684,0.00048400674,0.09129626,0.00008611521,0.00012935094,0.00950638],"study_design_scores_gemma":[0.0000013086859,0.000014000126,0.99707735,0.0000025400357,0.0000036006286,0.000023996168,0.0002948604,0.00051604083,0.0018781394,0.000016496952,0.0001699129,0.0000017912505],"about_ca_topic_score_codex":0.3556539,"about_ca_topic_score_gemma":0.57678795,"teacher_disagreement_score":0.6443461,"about_ca_system_score_codex":0.0015172103,"about_ca_system_score_gemma":0.0010137792,"threshold_uncertainty_score":0.70716757},"labels":[],"label_agreement":null},{"id":"W4225758927","doi":"10.5194/bg-19-2059-2022","title":"Sensitivity of biomass burning emissions estimates to land surface information","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"University of Pittsburgh","keywords":"Environmental science; Atmospheric sciences; TRACER; Biomass burning; Spatial distribution; Greenhouse gas; Carbon cycle; Biomass (ecology); Land cover; Climatology; Meteorology; Aerosol; Land use; Remote sensing; Ecosystem; Geology; Geography","score_opus":0.007312853647498759,"score_gpt":0.2114921035426649,"score_spread":0.20417924989516614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225758927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866918,0.00020330863,0.0104185445,0.00008627286,0.000026065156,0.000042272517,0.0011538477,0.00021044743,0.0011672684],"genre_scores_gemma":[0.99548244,0.000038704624,0.0031411531,0.000024570129,0.0000035334263,0.00001320566,0.0011672804,0.000015705127,0.000113345544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994823,0.00019934234,0.000038636426,0.00012956864,0.000092519884,0.000057652935],"domain_scores_gemma":[0.9979777,0.0013863127,0.000116193696,0.00019119248,0.00027644902,0.00005212888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002011345,0.0006935509,0.00038999438,0.0005813864,0.00024466653,0.0008627931,0.00044010236,0.0005042987,0.00056243804],"category_scores_gemma":[0.0052279313,0.00041472903,0.0008445744,0.00052203966,0.00026999606,0.0006820705,0.000559126,0.00047349918,0.00011814903],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014334692,0.000042433887,0.068489484,0.00003250424,0.00020663581,0.000050248527,0.000018409013,0.9220587,0.0027554848,0.00019014647,0.0001293903,0.005883221],"study_design_scores_gemma":[0.00003698081,0.0000627002,0.03320768,0.000014550156,0.00006984075,0.000018640449,0.000026066811,0.9612167,0.0045445655,0.0004374592,0.000341269,0.000023493434],"about_ca_topic_score_codex":0.022361612,"about_ca_topic_score_gemma":0.010228838,"teacher_disagreement_score":0.022361612,"about_ca_system_score_codex":0.0007487048,"about_ca_system_score_gemma":0.00044802765,"threshold_uncertainty_score":0.04446292},"labels":[],"label_agreement":null},{"id":"W4225767608","doi":"10.5194/bg-19-329-2022","title":"Investigating controls of shell growth features in a foundation bivalve species: seasonal trends and decadal changes in the California mussel","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Biology and Ecology Research","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Killam Trusts; Geological Society of America; Directorate for Engineering; National Science Foundation","keywords":"Calcite; Mytilus; Aragonite; Mussel; Bay; Upwelling; Oceanography; Bivalvia; Shell (structure); Geology; Mollusca; Ecology; Biology; Mineralogy","score_opus":0.024163138644970085,"score_gpt":0.25040434214917795,"score_spread":0.22624120350420787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225767608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986455,0.00014740607,0.000079870515,0.000017055601,0.0000027290469,0.000002387419,0.0005603437,0.0000069613134,0.00053768244],"genre_scores_gemma":[0.9989549,0.00007205452,0.0001435061,0.000010414281,0.0000032331332,0.0000051392044,0.0004741029,0.0000046102605,0.00033207412],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988365,0.000009219087,0.000007148056,0.00006379773,0.000021673259,0.000014423272],"domain_scores_gemma":[0.9993703,0.000048820737,0.00027999896,0.00004687939,0.00016491761,0.000089187255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002522269,0.00018058176,0.00012682287,0.0008610689,0.0004000638,0.000487969,0.00021434546,0.0001501492,0.00079839246],"category_scores_gemma":[0.00043838538,0.00018843866,0.0001579948,0.000556104,0.00021162591,0.00023714999,0.00030073817,0.00020556456,0.00011217066],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070364185,0.000023012535,0.9883295,0.000017375429,0.00006718534,0.000029365156,0.00025972296,0.00014996174,0.0065990025,0.000032048127,0.00024133232,0.004181104],"study_design_scores_gemma":[3.4697663e-7,0.0000035236865,0.99975294,0.0000010129594,0.0000029912355,0.0000067801107,0.000039482296,0.000044659035,0.00006684401,0.000002647539,0.000078028366,6.8645846e-7],"about_ca_topic_score_codex":0.031200921,"about_ca_topic_score_gemma":0.094736464,"teacher_disagreement_score":0.031200921,"about_ca_system_score_codex":0.00045491307,"about_ca_system_score_gemma":0.00020342426,"threshold_uncertainty_score":0.0620386},"labels":[],"label_agreement":null},{"id":"W4225919014","doi":"10.5194/bg-19-437-2022","title":"Oxygen export to the deep ocean following Labrador Sea Water formation","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Canada First Research Excellence Fund; Ocean Frontier Institute; Horizon 2020; Bundesministerium für Forschung und Technologie; Canada Excellence Research Chairs, Government of Canada; Government of Canada","keywords":"Oceanography; Argo; Outflow; Water column; Boundary current; Geology; Deep ocean water; Water mass; Antarctic Intermediate Water; Salinity; Deep sea; Current (fluid); Oxygen; Bottom water; Convection; Deep convection; Oxygen minimum zone; Thermohaline circulation; Ocean current; North Atlantic Deep Water; Meteorology; Upwelling; Geography; Chemistry","score_opus":0.010570765996979422,"score_gpt":0.1956835713206763,"score_spread":0.18511280532369687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225919014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993957,0.000030681276,0.000030487166,0.000018498245,0.0000022712763,0.0000013832398,0.00015820735,0.000006367626,0.00035630842],"genre_scores_gemma":[0.9991073,0.000035422418,0.00004735218,0.000016895456,0.000004320024,0.0000029024793,0.00043259296,0.000003728073,0.00034950505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992955,0.0000045155075,0.0000049675987,0.000021781338,0.0000155579,0.000023541385],"domain_scores_gemma":[0.9997861,0.00001420949,0.00010184165,0.000012477275,0.000047553294,0.000037856862],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001031994,0.00021772287,0.00029323637,0.0003797292,0.00030939135,0.00060008693,0.00019063386,0.00024766842,0.0007779081],"category_scores_gemma":[0.0003113339,0.00012011734,0.00029657598,0.00042805684,0.00024501063,0.00034899596,0.00048951566,0.00029437616,0.00018354763],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039359287,0.000050035997,0.9421759,0.000041690622,0.000077591336,0.00039171794,0.00043694084,0.00066409743,0.045235004,0.00007996813,0.00030197564,0.010151515],"study_design_scores_gemma":[0.0000020864506,0.000026287882,0.9982578,0.0000021434018,0.0000070270194,0.000016500202,0.00010801152,0.00021937021,0.0010703926,0.000007738093,0.00028027574,0.0000024133344],"about_ca_topic_score_codex":0.0380175,"about_ca_topic_score_gemma":0.04733883,"teacher_disagreement_score":0.0380175,"about_ca_system_score_codex":0.0009825723,"about_ca_system_score_gemma":0.00041055647,"threshold_uncertainty_score":0.07559246},"labels":[],"label_agreement":null},{"id":"W4226119322","doi":"10.5194/bg-19-559-2022","title":"Representativeness assessment of the pan-Arctic eddy covariance site network and optimized future enhancements","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; Biological and Environmental Research; Max-Planck-Gesellschaft; European Commission","keywords":"Arctic; Environmental science; Eddy covariance; Representativeness heuristic; Greenhouse gas; Climate change; Flux (metallurgy); Atmospheric sciences; Ecosystem; Ecology; Statistics; Geology; Chemistry","score_opus":0.0075243572095199125,"score_gpt":0.24058225478868764,"score_spread":0.23305789757916773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226119322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75709164,0.000908921,0.22849372,0.0003470764,0.00012568897,0.00021130132,0.0053476603,0.0015791501,0.005894765],"genre_scores_gemma":[0.90616006,0.00018330578,0.08597537,0.00003530177,0.000039699553,0.000095697695,0.006582989,0.000120957295,0.00080658775],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988293,0.0003736481,0.00010309551,0.0002780159,0.00029358454,0.00012225217],"domain_scores_gemma":[0.9956245,0.001072056,0.00053764967,0.0007181263,0.0017811126,0.00026655113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003934712,0.00057401805,0.0004481272,0.0018245643,0.00045675522,0.0011767184,0.0006453939,0.0004976184,0.0009900408],"category_scores_gemma":[0.012162204,0.00021383249,0.00049123395,0.001913284,0.00025235198,0.0018024456,0.0008653805,0.00042109695,0.00029026903],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070181873,0.00021502745,0.27646163,0.00025847822,0.00037139698,0.00037766068,0.00036002113,0.43019196,0.007704149,0.008804271,0.008164349,0.26638928],"study_design_scores_gemma":[0.00002604824,0.00010391639,0.056625333,0.000045597695,0.00006540276,0.0002165345,0.0001622542,0.9320641,0.0036427018,0.0023765704,0.004641383,0.000030211762],"about_ca_topic_score_codex":0.008756192,"about_ca_topic_score_gemma":0.009947275,"teacher_disagreement_score":0.008756192,"about_ca_system_score_codex":0.00059352175,"about_ca_system_score_gemma":0.0008754302,"threshold_uncertainty_score":0.020808995},"labels":[],"label_agreement":null},{"id":"W4226281883","doi":"10.5194/bg-19-1995-2022","title":"Main drivers of plant diversity patterns of rubber plantations in the Greater Mekong Subregion","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Earmarked Fund for China Agriculture Research System; National Natural Science Foundation of China; University of Alberta; Yale University","keywords":"Biodiversity; Species richness; Plant diversity; Agroforestry; Dominance (genetics); Threatened species; Natural rubber; Species diversity; Deforestation (computer science); Geography; Diversity index; Ecology; Environmental science; Biology; Habitat","score_opus":0.02285151933971847,"score_gpt":0.19018924771356205,"score_spread":0.16733772837384359,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226281883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99968827,0.000037895854,0.00003348957,0.000009207129,5.3523786e-7,0.0000016276398,0.00008782769,0.0000011449036,0.00013999228],"genre_scores_gemma":[0.99979573,0.000018277078,0.0000486435,0.000002207861,6.2943656e-7,0.0000016827158,0.000073874005,5.554069e-7,0.00005844483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998549,0.000030100839,0.000011203069,0.000047817568,0.00001890162,0.00003700521],"domain_scores_gemma":[0.99960274,0.00007461786,0.00014285622,0.000019468423,0.00007022445,0.0000901307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016075722,0.00017178369,0.00013633513,0.0007033602,0.00030143486,0.0003421719,0.00016959517,0.000094265735,0.0007628771],"category_scores_gemma":[0.00030743956,0.000109712506,0.00020013271,0.00069845765,0.00028417638,0.00018655152,0.00035196953,0.00015196636,0.000074824675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003479934,0.000011790224,0.99378526,0.000028539294,0.00004769488,0.00015343884,0.0006474418,0.00016649895,0.0023953316,0.00007547646,0.000059142632,0.0025946745],"study_design_scores_gemma":[7.0574106e-7,0.000006948304,0.9989299,0.0000041171893,0.0000065654604,0.000054792872,0.00052704196,0.0002500266,0.000071009286,0.0000137318975,0.00013309077,0.0000019941997],"about_ca_topic_score_codex":0.017700804,"about_ca_topic_score_gemma":0.037481673,"teacher_disagreement_score":0.017700804,"about_ca_system_score_codex":0.00033392917,"about_ca_system_score_gemma":0.00031321368,"threshold_uncertainty_score":0.03519553},"labels":[],"label_agreement":null},{"id":"W4226316024","doi":"10.5194/bg-19-71-2022","title":"Bioaerosols and atmospheric ice nuclei in a Mediterranean dryland: community changes related to rainfall","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020; Max-Planck-Gesellschaft; Deutsche Forschungsgemeinschaft","keywords":"Ice nucleus; Indoor bioaerosol; Environmental science; Mineral dust; Precipitation; Mediterranean climate; Population; Aerosol; Atmospheric sciences; Environmental chemistry; Ecology; Biology; Chemistry; Geology; Geography; Meteorology; Nucleation","score_opus":0.019266023104969065,"score_gpt":0.24268259305085535,"score_spread":0.2234165699458863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226316024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99954885,0.00008068526,0.000053375188,0.0000042589995,0.0000016662123,0.0000035610087,0.00022171662,0.0000013612477,0.00008452767],"genre_scores_gemma":[0.9989447,0.000084502775,0.0002640295,0.000016985641,0.0000075456546,0.000007625628,0.0005419513,0.0000026768423,0.00013003331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998826,0.00001273206,0.000008115101,0.00005944027,0.000014775098,0.000022395747],"domain_scores_gemma":[0.99988246,0.000016376875,0.000049957343,0.0000055122846,0.000025109039,0.00002055141],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016649776,0.0002717185,0.0003319865,0.0005783841,0.00030160532,0.00041785953,0.00015378586,0.00018441844,0.00036296638],"category_scores_gemma":[0.000122094,0.000108710985,0.00016666565,0.00040555888,0.00024890815,0.00017963619,0.00019866723,0.00013818858,0.00007974256],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005895442,0.00009686548,0.70391554,0.00012426534,0.0001444141,0.00031796139,0.0010195886,0.00028521082,0.2860451,0.000031501768,0.000119457516,0.007310469],"study_design_scores_gemma":[0.0000024227763,0.000043578068,0.9976158,0.0000032831315,0.000011971439,0.000036944035,0.00020945899,0.00014636057,0.0017726182,0.0000042171805,0.00015165165,0.0000018208787],"about_ca_topic_score_codex":0.006422425,"about_ca_topic_score_gemma":0.0077489014,"teacher_disagreement_score":0.006422425,"about_ca_system_score_codex":0.00030183143,"about_ca_system_score_gemma":0.0001172828,"threshold_uncertainty_score":0.012770116},"labels":[],"label_agreement":null},{"id":"W4226435725","doi":"10.5194/bg-19-2187-2022","title":"A Bayesian sequential updating approach to predict phenology of silage maize","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Deutsche Forschungsgemeinschaft","keywords":"Calibration; Bayesian probability; Statistics; Silage; Computer science; Field (mathematics); Mathematics; Data mining; Agronomy","score_opus":0.04045476871127091,"score_gpt":0.24375116663265634,"score_spread":0.20329639792138543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226435725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.64235693,0.00025516865,0.3548406,0.00017579232,0.000026123913,0.00006906398,0.00047036473,0.00036456794,0.0014413545],"genre_scores_gemma":[0.9659014,0.00005169702,0.0331691,0.000021039928,0.000012127477,0.000038770344,0.00036140124,0.00002465987,0.00041980468],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973446,0.000088777975,0.00001600034,0.00008819696,0.000047149402,0.000025409641],"domain_scores_gemma":[0.999017,0.00052680774,0.00015219493,0.00006306888,0.00018646568,0.000054442033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012858522,0.00045896976,0.00032505413,0.00091303163,0.00023772253,0.0005263727,0.0006662999,0.00045721047,0.0006749623],"category_scores_gemma":[0.003905467,0.00041741107,0.00040893874,0.00045103495,0.00023471181,0.00056189205,0.0003912999,0.00053569576,0.00014620973],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009263859,0.00005480145,0.022473807,0.000024387438,0.000062698724,0.000028293,0.00007022728,0.93366164,0.0022278896,0.00093134533,0.00023396371,0.04013844],"study_design_scores_gemma":[0.0000021561252,0.00000781883,0.0023483129,0.0000020985117,0.000003874461,0.0000024412952,0.0000029546609,0.9970438,0.00019558678,0.0003178443,0.000070063594,0.0000031645661],"about_ca_topic_score_codex":0.025329605,"about_ca_topic_score_gemma":0.026466824,"teacher_disagreement_score":0.025329605,"about_ca_system_score_codex":0.00069333613,"about_ca_system_score_gemma":0.0008485528,"threshold_uncertainty_score":0.050364316},"labels":[],"label_agreement":null},{"id":"W4245373748","doi":"10.5194/bg-5-495-2008","title":"Particle optical backscattering along a chlorophyll gradient in the upper layer of the eastern South Pacific Ocean","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":180,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Naval Research; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Ocean gyre; Water column; Transect; Chlorophyll a; Ocean color; Mixed layer; Oceanography; Attenuation coefficient; Particulates; Environmental science; Absorption (acoustics); Atmospheric sciences; Mineralogy; Geology; Chemistry; Physics; Optics; Biology; Subtropics; Ecology","score_opus":0.02396260927661028,"score_gpt":0.19655074989060328,"score_spread":0.172588140613993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245373748","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996811,0.000011704302,0.000031111675,0.000005818025,6.6733156e-7,0.000001061899,0.000071949544,0.0000032576459,0.00019330277],"genre_scores_gemma":[0.9994838,0.000025894744,0.00010285127,0.000006585736,9.625708e-7,0.000002284178,0.0002050463,0.000001747691,0.0001708113],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999961,0.0000037766565,0.0000027813187,0.000011263385,0.0000124567,0.000008847945],"domain_scores_gemma":[0.9998716,0.000020399291,0.00002865868,0.0000068421527,0.00004519134,0.000027329828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011562327,0.00022478342,0.00015078852,0.00044256847,0.00035125855,0.00037948514,0.00013294138,0.00016141908,0.00060767616],"category_scores_gemma":[0.00025194543,0.00017445465,0.00015450238,0.00046597378,0.00025706404,0.00021658928,0.00028312978,0.00018616808,0.000101701284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000855595,0.000030784646,0.97698146,0.000022607446,0.00004940007,0.0002609274,0.00044618393,0.00090110226,0.016171174,0.000054820932,0.00017283509,0.0048230602],"study_design_scores_gemma":[0.0000016046896,0.000005855013,0.9989379,0.0000015916006,0.0000053635854,0.000018007313,0.00014437312,0.0006065197,0.00020520478,0.0000066654206,0.00006550544,0.0000014540099],"about_ca_topic_score_codex":0.12594327,"about_ca_topic_score_gemma":0.1650196,"teacher_disagreement_score":0.12594327,"about_ca_system_score_codex":0.0004753085,"about_ca_system_score_gemma":0.00042339796,"threshold_uncertainty_score":0.2504204},"labels":[],"label_agreement":null},{"id":"W4280595848","doi":"10.5194/bg-19-2537-2022","title":"Global nutrient cycling by commercially targeted marine fish","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Aquaculture Nutrition and Growth","field":"Agricultural and Biological Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"European Research Council; Nuclear Safety and Security Commission; National Aeronautics and Space Administration; California Ocean Protection Council; Agence Nationale de la Recherche; European Commission","keywords":"Nutrient; Biomass (ecology); Fishing; Ocean gyre; Environmental science; Nutrient cycle; Cycling; Fishery; Biogeochemical cycle; Fish stock; Oceanography; Ecology; Biology; Geography; Subtropics","score_opus":0.01451177169836025,"score_gpt":0.2225902590326844,"score_spread":0.20807848733432416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280595848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955836,0.00006318623,0.002804393,0.00005569133,0.0000046062883,0.0000051629177,0.00034228843,0.00002355018,0.0011174703],"genre_scores_gemma":[0.99819833,0.00006340862,0.00083703414,0.000020421729,0.0000016222964,0.00000844065,0.00025720714,0.000007803295,0.00060564594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999943,0.0000058605465,0.0000028617042,0.000029184093,0.000008437785,0.000010653419],"domain_scores_gemma":[0.9998635,0.000028383272,0.00005099677,0.00001595731,0.000025025418,0.000016090857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017692067,0.00043469205,0.00015984804,0.00028021095,0.00015018355,0.00035893967,0.00035482834,0.00040459313,0.0013344885],"category_scores_gemma":[0.00047502562,0.00017645181,0.0005249858,0.0003470398,0.00036872004,0.0005749955,0.0005431098,0.00016451861,0.00016873013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001633405,0.000044986846,0.56152916,0.00010187098,0.0002617964,0.0003861694,0.00012345436,0.38325658,0.035356175,0.0025737905,0.000643327,0.015559349],"study_design_scores_gemma":[0.000033902117,0.00016281911,0.5451678,0.000036332418,0.00012125379,0.00027907648,0.00023960607,0.44435662,0.004511619,0.0027455532,0.0022968303,0.000048541337],"about_ca_topic_score_codex":0.02375232,"about_ca_topic_score_gemma":0.017834917,"teacher_disagreement_score":0.02375232,"about_ca_system_score_codex":0.0008845751,"about_ca_system_score_gemma":0.00038092368,"threshold_uncertainty_score":0.047228158},"labels":[],"label_agreement":null},{"id":"W4283167737","doi":"10.5194/bg-19-2953-2022","title":"To what extent can soil moisture and soil Cu contamination stresses affect nitrous species emissions? Estimation through calibration of a nitrification–denitrification model","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Agence Nationale de la Recherche","keywords":"Denitrification; Environmental science; Water content; Nitrate; Soil water; Environmental chemistry; Soil science; Contamination; Nitrification; Moisture; Biogeochemical cycle; Soil organic matter; Nitrogen; Agronomy; Chemistry; Ecology","score_opus":0.028183525043420393,"score_gpt":0.2454796400309518,"score_spread":0.2172961149875314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283167737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9512313,0.00013691197,0.046617333,0.00012595036,0.000017059123,0.000030382938,0.0003075802,0.0001982829,0.0013351963],"genre_scores_gemma":[0.99734914,0.00003224876,0.0022939069,0.000009398045,0.0000021104152,0.000015666032,0.00010214678,0.000007446096,0.00018783478],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998442,0.000051476687,0.000009191632,0.000054243897,0.000017775707,0.000023119972],"domain_scores_gemma":[0.9995414,0.0002583749,0.00006986551,0.000034967008,0.000075997006,0.000019444557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000530528,0.0004901005,0.00028719287,0.00016577999,0.00017052854,0.00042487812,0.00048725877,0.00079385313,0.0004960038],"category_scores_gemma":[0.0011156773,0.00022904437,0.00046888104,0.000177373,0.0002336724,0.00036830144,0.00028848404,0.0004773244,0.000091973976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052545798,0.00004787567,0.011504674,0.00002924812,0.000037725156,0.00003136842,0.000020095882,0.97987694,0.0047996272,0.00018408116,0.00007841511,0.003337507],"study_design_scores_gemma":[0.000006238032,0.000018505712,0.0028974945,0.000002429128,0.0000071589743,0.000003839678,0.000006965402,0.99553007,0.0013585594,0.00008892006,0.0000751646,0.00000463147],"about_ca_topic_score_codex":0.014052292,"about_ca_topic_score_gemma":0.0053088726,"teacher_disagreement_score":0.014052292,"about_ca_system_score_codex":0.00046809466,"about_ca_system_score_gemma":0.00038616353,"threshold_uncertainty_score":0.027940989},"labels":[],"label_agreement":null},{"id":"W4283450452","doi":"10.5194/bg-19-3051-2022","title":"High peatland methane emissions following permafrost thaw: enhanced acetoclastic methanogenesis during early successional stages","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bog; Thermokarst; Peat; Permafrost; Methanogenesis; Transect; Methane; Sphagnum; Environmental chemistry; Environmental science; Boreal; Ecology; Geology; Chemistry; Biology","score_opus":0.024937117938659648,"score_gpt":0.25011075685010836,"score_spread":0.2251736389114487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283450452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99970067,0.000050061568,0.00003653059,0.0000038196185,6.475069e-7,0.0000018944331,0.00008946612,0.0000026177331,0.00011445118],"genre_scores_gemma":[0.9996358,0.00003058338,0.00007259289,0.00000708036,6.628753e-7,0.0000021102287,0.00012466058,0.0000010133026,0.00012551472],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999585,0.0000028182546,0.0000018168084,0.000009261027,0.000008665971,0.000018897272],"domain_scores_gemma":[0.9998572,0.000010523851,0.00004045775,0.000004481761,0.00004028853,0.000047111047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009680068,0.00016611702,0.00018753778,0.00027436076,0.0004472675,0.00037745634,0.00013695823,0.00018119009,0.00040100847],"category_scores_gemma":[0.00014827258,0.00011408952,0.00013572589,0.00019808295,0.00025466358,0.00014056695,0.00022259798,0.00014745074,0.00007948784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003237949,0.000035782203,0.8361476,0.000052201955,0.0000347332,0.0003034415,0.0006704114,0.00024018854,0.15779045,0.000027265445,0.000069907386,0.0043042023],"study_design_scores_gemma":[4.1194676e-7,0.000009240027,0.99897814,0.0000012911545,0.000001916561,0.000021303225,0.00013062447,0.000057589903,0.00075279595,0.000004229533,0.000041503798,8.664483e-7],"about_ca_topic_score_codex":0.114170216,"about_ca_topic_score_gemma":0.27029854,"teacher_disagreement_score":0.114170216,"about_ca_system_score_codex":0.0007192207,"about_ca_system_score_gemma":0.00056627626,"threshold_uncertainty_score":0.22701138},"labels":[],"label_agreement":null},{"id":"W4283757440","doi":"10.5194/bg-19-3073-2022","title":"Dissolved organic matter characterization in soils and streams in a small coastal low-Arctic catchment","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Horizon 2020","keywords":"STREAMS; Soil water; Environmental science; Arctic; Organic matter; Drainage basin; Dissolved organic carbon; Hydrology (agriculture); Oceanography; Geology; Soil science; Ecology; Geography","score_opus":0.019465996928985946,"score_gpt":0.2099879066792449,"score_spread":0.19052190975025896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283757440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993918,0.000036782112,0.000048754784,0.000006808856,8.3150013e-7,0.00000891126,0.00031644714,0.000002734219,0.00018691759],"genre_scores_gemma":[0.99885035,0.00006971934,0.00028492362,0.000016321665,0.0000026602263,0.000012722555,0.00052076613,0.0000022782413,0.00024030899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998423,0.000011303615,0.000012670439,0.000049008504,0.00003922883,0.00004551548],"domain_scores_gemma":[0.9996861,0.000021577067,0.000049998478,0.000008023625,0.00014509392,0.00008908221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017989278,0.0003058492,0.000314749,0.0012056109,0.0014873148,0.0010655486,0.00044473654,0.00022205358,0.00037121412],"category_scores_gemma":[0.0003032572,0.00013844312,0.0001680995,0.0020363175,0.0004967535,0.00021038539,0.00044698425,0.00017343281,0.00007486108],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055326116,0.00003853974,0.9909864,0.00001639272,0.000021523669,0.0002320773,0.0006158237,0.00014001559,0.004738519,0.000019234829,0.0000697182,0.003066336],"study_design_scores_gemma":[0.0000035053874,0.000020534455,0.9971937,0.0000048607926,0.000015421512,0.000070476504,0.0013873362,0.00051957177,0.00048694853,0.000012089948,0.00028155866,0.0000037667942],"about_ca_topic_score_codex":0.58972263,"about_ca_topic_score_gemma":0.7290366,"teacher_disagreement_score":0.58972263,"about_ca_system_score_codex":0.0027063258,"about_ca_system_score_gemma":0.0020689385,"threshold_uncertainty_score":0.8253871},"labels":[],"label_agreement":null},{"id":"W4285395428","doi":"10.5194/bg-19-3263-2022","title":"The European forest carbon budget under future climate conditions and current management practices","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Joint Research Centre","keywords":"Climate change; European union; Environmental science; Representative Concentration Pathways; Forest management; Environmental resource management; Baseline (sea); Primary production; Business as usual; Greenhouse gas; Carbon sink; Productivity; Natural resource economics; Climate model; Ecosystem; Ecology; Agroforestry; Business; Economics","score_opus":0.015035348625039406,"score_gpt":0.2671724380731132,"score_spread":0.2521370894480738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285395428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95650715,0.0016017951,0.008357235,0.0010257013,0.000059156617,0.000032021828,0.012511572,0.0002721147,0.019633181],"genre_scores_gemma":[0.98966557,0.0005584716,0.0035154913,0.00009391273,0.000006975278,0.000031679905,0.0049006892,0.000059131813,0.0011682112],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993704,0.00018396278,0.000044974317,0.00019622069,0.00011063729,0.00009367787],"domain_scores_gemma":[0.99941397,0.00019948522,0.000102959675,0.000092451635,0.00014850589,0.000042765252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013753185,0.0005965184,0.0003589234,0.0006324463,0.00028234857,0.0016132471,0.0005429511,0.0011103769,0.0024399015],"category_scores_gemma":[0.0023888224,0.00023923299,0.00076758565,0.0018553769,0.00031825068,0.001933327,0.0005415567,0.0003516883,0.00047443013],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003423809,0.000060239385,0.071756855,0.00031020324,0.00035875154,0.00028702203,0.00015607484,0.87366736,0.002857132,0.014617818,0.0041441997,0.03144197],"study_design_scores_gemma":[0.00016329659,0.0002051267,0.2738431,0.00041854868,0.000361064,0.00047872658,0.00051386445,0.6601758,0.005143879,0.011735165,0.046729364,0.00023204467],"about_ca_topic_score_codex":0.08900997,"about_ca_topic_score_gemma":0.04633699,"teacher_disagreement_score":0.08900997,"about_ca_system_score_codex":0.002711734,"about_ca_system_score_gemma":0.001295952,"threshold_uncertainty_score":0.17698377},"labels":[],"label_agreement":null},{"id":"W4285589795","doi":"10.5194/bg-19-3285-2022","title":"Controls on autotrophic and heterotrophic respiration in an ombrotrophic bog","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Ombrotrophic; Respiration; Bog; Autotroph; Soil respiration; Shrub; Biogeochemical cycle; Environmental science; Peat; Decomposer; Ecology; Carbon cycle; Ecosystem; Ecosystem respiration; Biology; Primary production; Botany","score_opus":0.016973863671671762,"score_gpt":0.241505656327641,"score_spread":0.22453179265596926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285589795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997008,0.00005089335,0.000041851432,0.0000032304138,6.874066e-7,0.0000018345548,0.00006354835,0.0000035563776,0.00013373671],"genre_scores_gemma":[0.9996792,0.000027932592,0.00009863979,0.000005070542,0.00000103476,0.0000027272981,0.00007502653,0.0000017094036,0.00010863382],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998895,0.000021739626,0.00001097719,0.00003471412,0.00001517517,0.000027949822],"domain_scores_gemma":[0.9997205,0.00005317217,0.000100538426,0.000018277622,0.00003550458,0.000071955525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019588228,0.00027517127,0.00027299637,0.00038190236,0.00022564085,0.00047527452,0.00016727574,0.00014895902,0.00044441296],"category_scores_gemma":[0.00025629046,0.0001316048,0.00017224671,0.00016312278,0.00024653494,0.0001775539,0.00033803037,0.00012708738,0.000088459434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012000174,0.00015466122,0.54327774,0.00012978117,0.00011735278,0.00033436052,0.00048292728,0.0012058832,0.44697586,0.0001537147,0.0000909765,0.005876703],"study_design_scores_gemma":[0.000002543948,0.00003924759,0.99782974,0.0000018209391,0.0000067939036,0.000032576172,0.00009982054,0.0006245035,0.001240013,0.000028508277,0.000091721464,0.0000027654355],"about_ca_topic_score_codex":0.013709877,"about_ca_topic_score_gemma":0.019605665,"teacher_disagreement_score":0.013709877,"about_ca_system_score_codex":0.000494071,"about_ca_system_score_gemma":0.00021446383,"threshold_uncertainty_score":0.027260125},"labels":[],"label_agreement":null},{"id":"W4288068686","doi":"10.5194/bg-19-3469-2022","title":"Interannual variabilities, long-term trends, and regulating factors of low-oxygen conditions in the coastal waters off Hong Kong","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Ministry of Water Resources; National Natural Science Foundation of China-Guangdong Joint Fund; National Natural Science Foundation of China","keywords":"Environmental science; Eutrophication; Biogeochemical cycle; Estuary; Nutrient; Deoxygenation; Oceanography; Environmental chemistry; Ecology; Geology; Chemistry","score_opus":0.01209611423185053,"score_gpt":0.21046586556999883,"score_spread":0.1983697513381483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4288068686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992447,0.00007859123,0.00009078082,0.000022245822,0.0000035720593,0.0000033590459,0.00030092266,0.0000023027542,0.0002535657],"genre_scores_gemma":[0.9992448,0.00007490729,0.00008224031,0.000009034343,0.000003405338,0.000007474256,0.00034504692,0.0000013044704,0.00023178071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984944,0.00002395262,0.000020145482,0.000047322952,0.000023904697,0.000035124227],"domain_scores_gemma":[0.9994024,0.00008711007,0.00017664443,0.00003465667,0.00020132607,0.00009786113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047407544,0.00024256286,0.00018581127,0.0005625072,0.0003395979,0.0005528137,0.00020919801,0.00013753444,0.00041384698],"category_scores_gemma":[0.0005384103,0.00013221912,0.00027388195,0.0010864234,0.00026764788,0.0003367683,0.00044250564,0.00018700246,0.000069888694],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002788722,0.000013402835,0.99478453,0.000027227055,0.00007399035,0.0000846457,0.00043392254,0.00026755664,0.0009811837,0.000027218775,0.00015971767,0.0031187395],"study_design_scores_gemma":[3.9954665e-7,0.0000049110427,0.99923134,0.0000029733624,0.000007229658,0.000005988118,0.00032498394,0.00025765732,0.000033959863,0.0000043590335,0.00012429549,0.0000019610488],"about_ca_topic_score_codex":0.14198242,"about_ca_topic_score_gemma":0.17677183,"teacher_disagreement_score":0.14198242,"about_ca_system_score_codex":0.00080593117,"about_ca_system_score_gemma":0.0008242257,"threshold_uncertainty_score":0.28231204},"labels":[],"label_agreement":null},{"id":"W4293223687","doi":"10.5194/bg-19-3863-2022","title":"Lateral carbon export has low impact on the net ecosystem carbon balance of a polygonal tundra catchment","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Universität Hamburg; Université de Reims Champagne-Ardenne; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Helmholtz-Gemeinschaft","keywords":"Tundra; Permafrost; Dissolved organic carbon; Ecosystem; Environmental science; Eddy covariance; Ecosystem respiration; Hydrology (agriculture); Carbon fibers; Total organic carbon; Soil carbon; Carbon dioxide; Atmospheric sciences; Soil water; Soil science; Environmental chemistry; Chemistry; Ecology; Geology; Oceanography","score_opus":0.03392433993963192,"score_gpt":0.23491339491284888,"score_spread":0.20098905497321695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293223687","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995096,0.000018756242,0.000036810663,0.000009180199,7.3763744e-7,9.159103e-7,0.00009764638,0.0000068046274,0.00031973107],"genre_scores_gemma":[0.9997359,0.000011870564,0.000029212657,0.0000035127657,0.0000013077005,0.0000011430533,0.00014101276,0.0000021661447,0.000073901436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999863,0.000023087377,0.000011724005,0.000049600374,0.000018525896,0.000034118948],"domain_scores_gemma":[0.9996736,0.000068799985,0.00009488739,0.00003947687,0.000057573303,0.000065676824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002900538,0.00023431491,0.0002857061,0.00062317,0.00043998426,0.0010225216,0.00024393236,0.00019230266,0.0011991799],"category_scores_gemma":[0.0006492937,0.000119079436,0.00024663558,0.00070225133,0.000388662,0.0005151957,0.00049795007,0.00014160498,0.00012666237],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021437474,0.00004302314,0.9841149,0.000022840873,0.000110293426,0.00037029682,0.00020764541,0.0025527468,0.006127518,0.00015094399,0.000118393946,0.0059670056],"study_design_scores_gemma":[0.000006034656,0.000009800465,0.99687344,0.0000030260985,0.0000146076645,0.000046704154,0.00013991544,0.0025397185,0.00019459173,0.000038086553,0.0001303643,0.0000037779762],"about_ca_topic_score_codex":0.030156802,"about_ca_topic_score_gemma":0.02848231,"teacher_disagreement_score":0.030156802,"about_ca_system_score_codex":0.0009011101,"about_ca_system_score_gemma":0.00047634583,"threshold_uncertainty_score":0.05996251},"labels":[],"label_agreement":null},{"id":"W4293748245","doi":"10.5194/bg-19-3959-2022","title":"The dominant role of sunlight in degrading winter dissolved organic matter from a thermokarst lake in a subarctic peatland","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Center for Northern Studies; Université du Québec à Chicoutimi; Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; Université Laval","keywords":"Thermokarst; Dissolved organic carbon; Subarctic climate; Peat; Environmental chemistry; Permafrost; Mineralization (soil science); Anoxic waters; Environmental science; Organic matter; Chemistry; Ecology; Soil science; Soil water","score_opus":0.00616851246683121,"score_gpt":0.17703474480706355,"score_spread":0.17086623234023235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293748245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99962735,0.00006546162,0.00009266427,0.00001211594,0.0000026400814,0.0000042785214,0.00007335082,0.000003126635,0.000119093515],"genre_scores_gemma":[0.9986212,0.000108389366,0.0005472164,0.00003940189,0.000004010833,0.00001261176,0.00016870246,0.0000049928526,0.00049342134],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99990475,0.000008389529,0.000006743761,0.000041168765,0.000016760707,0.000022054825],"domain_scores_gemma":[0.9999207,0.000014692112,0.000015278734,0.0000054840443,0.000019006951,0.000024929328],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012271998,0.00025448494,0.00034362185,0.0001280508,0.00042154035,0.00040070942,0.00012638717,0.00024826938,0.00044170974],"category_scores_gemma":[0.000087542976,0.0001419925,0.00027157736,0.00011148425,0.00025761288,0.00018447667,0.00029232807,0.00025364416,0.00009114646],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000116944735,0.000026130503,0.00876443,0.000044694538,0.000008399208,0.000029638952,0.00006990952,0.000054284243,0.98974293,0.0000053134036,0.000011826676,0.0011255209],"study_design_scores_gemma":[0.000016701148,0.00078235584,0.48850965,0.000021031141,0.00007366833,0.00012201662,0.00076328166,0.0015350855,0.50728804,0.000033904416,0.00083752064,0.000016821752],"about_ca_topic_score_codex":0.008495949,"about_ca_topic_score_gemma":0.017317679,"teacher_disagreement_score":0.008495949,"about_ca_system_score_codex":0.0003068539,"about_ca_system_score_gemma":0.00035243205,"threshold_uncertainty_score":0.01689303},"labels":[],"label_agreement":null},{"id":"W4294142664","doi":"10.5194/bg-19-3979-2022","title":"From soil to sea: sources and transport of organic carbon traced by tetraether lipids in the monsoonal Godavari River, India","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Koninklijk Nederlands Instituut voor Onderzoek der Zee; Indian Institute of Science Education and Research Mohali; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Utrecht; Indian Institute of Science","keywords":"Soil water; Tributary; Monsoon; Total organic carbon; Hydrology (agriculture); Bay; Environmental science; Sediment; Drainage basin; Geology; Dry season; Oceanography; Environmental chemistry; Soil science; Ecology; Chemistry; Geomorphology","score_opus":0.006769579270097464,"score_gpt":0.17480064936905476,"score_spread":0.1680310700989573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294142664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992353,0.00007271219,0.000040483283,0.000021405926,0.0000014377257,0.0000019066505,0.00022188373,0.000006288939,0.00039856235],"genre_scores_gemma":[0.9993112,0.00009586956,0.000088578214,0.000013321515,0.0000019656995,0.0000030679162,0.00022491682,0.000002894844,0.00025796998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992585,0.00000679116,0.000005292553,0.000025302945,0.000011942249,0.000024888597],"domain_scores_gemma":[0.99987316,0.000019252599,0.0000390812,0.000007774282,0.00003307356,0.000027737813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006343393,0.00022212685,0.00015754034,0.0007612815,0.00047766147,0.00070672476,0.00028808467,0.00021619727,0.00049039297],"category_scores_gemma":[0.0001009233,0.000186596,0.00018711394,0.0009988658,0.00033101375,0.00033731683,0.0004128552,0.00024687886,0.00015560577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002975275,0.000061341554,0.84300035,0.00014296957,0.00008207703,0.0008187377,0.0026984226,0.00038716113,0.13859972,0.00018639422,0.00018438717,0.013540833],"study_design_scores_gemma":[0.0000029155628,0.00003496469,0.9961845,0.000004824163,0.000015051081,0.000091533824,0.0011966205,0.0002442416,0.0017839288,0.000028350476,0.00040797112,0.0000051600123],"about_ca_topic_score_codex":0.03151049,"about_ca_topic_score_gemma":0.040592507,"teacher_disagreement_score":0.03151049,"about_ca_system_score_codex":0.00042306367,"about_ca_system_score_gemma":0.00045720456,"threshold_uncertainty_score":0.0626542},"labels":[],"label_agreement":null},{"id":"W4294609140","doi":"10.5194/bg-19-4107-2022","title":"Carbon isotopic ratios of modern C <sub>3</sub> and C <sub>4</sub> vegetation on the Indian peninsula and changes along the plant–soil–river continuum – implications for vegetation reconstructions","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Aard- en Levenswetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Eidgenössische Technische Hochschule Zürich","keywords":"Vegetation (pathology); Soil water; δ13C; Environmental science; Isotopes of carbon; Monsoon; Geology; Drainage basin; Hydrology (agriculture); Soil carbon; Total organic carbon; Stable isotope ratio; Soil science; Environmental chemistry; Climatology; Chemistry; Geography","score_opus":0.02518659558457673,"score_gpt":0.22537826700472355,"score_spread":0.20019167142014682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294609140","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994168,0.00004387181,0.000067556546,0.000005337381,6.15903e-7,8.440366e-7,0.0001604715,0.0000058706155,0.00029864453],"genre_scores_gemma":[0.9996039,0.000026010104,0.00011035203,0.0000038500593,6.541222e-7,0.0000013526636,0.00018245511,0.00000292963,0.00006851221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999571,0.000006316927,0.0000029182233,0.000015201662,0.000007335567,0.000011201949],"domain_scores_gemma":[0.99987733,0.000021873831,0.000033785866,0.000015104499,0.000029896786,0.000022064614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010515618,0.00017559149,0.000111782836,0.00079872156,0.0002738394,0.00040885241,0.00023770348,0.00013073714,0.0007442864],"category_scores_gemma":[0.00013532813,0.00014101049,0.00015629262,0.0008863845,0.00037658907,0.00018808003,0.00023440408,0.00017878624,0.00012126093],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028801576,0.00002327222,0.90694594,0.00004759891,0.0000929317,0.00014143027,0.0005406781,0.0007211599,0.07863999,0.00019706071,0.000088675115,0.012273194],"study_design_scores_gemma":[7.1330817e-7,0.000005030482,0.99864906,0.0000012255028,0.000005255425,0.000032226868,0.0001373759,0.00024336057,0.0007968627,0.000025062836,0.000101662794,0.0000021969006],"about_ca_topic_score_codex":0.017922372,"about_ca_topic_score_gemma":0.023496233,"teacher_disagreement_score":0.017922372,"about_ca_system_score_codex":0.00036320763,"about_ca_system_score_gemma":0.00020886656,"threshold_uncertainty_score":0.035636127},"labels":[],"label_agreement":null},{"id":"W4295666975","doi":"10.5194/bg-19-4415-2022","title":"Internal tree cycling and atmospheric archiving of mercury: examination with concentration and stable isotope analyses","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; Queen's University; University of Toronto","funders":"Technische Universität Braunschweig; Austrian Science Fund; Deutsche Forschungsgemeinschaft","keywords":"Mercury (programming language); Environmental chemistry; Cycling; Chemistry; Isotope; Volatilisation; Stable isotope ratio; Environmental science; Forestry","score_opus":0.02656577434808522,"score_gpt":0.27381425952333605,"score_spread":0.24724848517525083,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295666975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99245113,0.0001472502,0.004614591,0.000014722753,0.0000040021223,0.000012247334,0.0007747392,0.00008427241,0.0018969576],"genre_scores_gemma":[0.9897529,0.0001201016,0.008526447,0.000018664115,0.000004682728,0.000012954135,0.0007910666,0.00005991217,0.0007132587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968314,0.000026389918,0.000016147518,0.000110065004,0.00013412186,0.000030277664],"domain_scores_gemma":[0.99945146,0.000055002045,0.00016565897,0.000059466114,0.0002394682,0.000028942524],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052142155,0.00018343146,0.00018106384,0.00080304296,0.00050035975,0.00067224004,0.00034553508,0.00023261984,0.0005761011],"category_scores_gemma":[0.0005593933,0.0001514648,0.00014426235,0.0010994215,0.00026065297,0.00033897022,0.00040889278,0.00017603942,0.00022090334],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011319628,0.000023436309,0.75529283,0.0000602966,0.00006310009,0.00010756835,0.0008306216,0.0005214428,0.20670962,0.00015560926,0.00029296466,0.035829235],"study_design_scores_gemma":[0.0000016761585,0.00003800481,0.9704371,0.000006749587,0.000026132035,0.00013447841,0.00019234598,0.002192071,0.025280295,0.000044942593,0.0016381663,0.000007943762],"about_ca_topic_score_codex":0.0187434,"about_ca_topic_score_gemma":0.039638404,"teacher_disagreement_score":0.0187434,"about_ca_system_score_codex":0.00044165188,"about_ca_system_score_gemma":0.00035732883,"threshold_uncertainty_score":0.03726858},"labels":[],"label_agreement":null},{"id":"W4296106147","doi":"10.5194/bg-19-4459-2022","title":"The influence of near-surface sediment hydrothermalism on the TEX <sub>86</sub> tetraether-lipid-based proxy and a new correction for ocean bottom lipid overprinting","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Ocean Life Institute, Woods Hole Oceanographic Institution; Woods Hole Oceanographic Institution; National Science Foundation","keywords":"Thaumarchaeota; Water column; Oceanography; Transect; Geology; Benthic zone; Sediment; Biogeochemical cycle; Nepheloid layer; Bottom water; Seafloor spreading; Environmental science; Archaea; Environmental chemistry; Chemistry; Geomorphology; Paleontology","score_opus":0.010396965336435818,"score_gpt":0.21383576261565448,"score_spread":0.20343879727921865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296106147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928635,0.00031557132,0.005140643,0.000033912427,0.000031930533,0.000007999513,0.0007820188,0.00012966171,0.00069481326],"genre_scores_gemma":[0.992494,0.00009706646,0.005299907,0.000020758593,0.000009261798,0.000011309708,0.0011109569,0.00008844976,0.0008683214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960667,0.000056960256,0.000039358896,0.00018454966,0.00008028633,0.0000322371],"domain_scores_gemma":[0.9991291,0.00017727751,0.0002094201,0.0002122904,0.00021309526,0.000058911795],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006817189,0.00050546933,0.0003040159,0.0006318694,0.00035852415,0.0009001478,0.0003954402,0.00032093775,0.0010079689],"category_scores_gemma":[0.0016087044,0.00018706844,0.00031144792,0.0009662621,0.00033473014,0.0004996498,0.00050796743,0.00035513192,0.00036278044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039766278,0.000022448554,0.8116574,0.0001149156,0.0003277849,0.00020870475,0.0002700281,0.0020915396,0.1568136,0.00023251832,0.00042222688,0.02744108],"study_design_scores_gemma":[0.0000059123536,0.000033700057,0.97608715,0.000008248149,0.0000739629,0.00009054523,0.00014016256,0.008141982,0.013455203,0.00004731261,0.0019055712,0.00001019349],"about_ca_topic_score_codex":0.013361263,"about_ca_topic_score_gemma":0.02835671,"teacher_disagreement_score":0.013361263,"about_ca_system_score_codex":0.00031466768,"about_ca_system_score_gemma":0.00031029442,"threshold_uncertainty_score":0.026566982},"labels":[],"label_agreement":null},{"id":"W4296619115","doi":"10.5194/bg-19-4571-2022","title":"Dissolved organic matter concentration and composition discontinuity at the peat–pool interface in a boreal peatland","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Diagnosis and Research on Alzheimer's Disease; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Groupe de recherche interuniversitaire en limnologie; Hydro-Québec","keywords":"Peat; Dissolved organic carbon; Ombrotrophic; Environmental chemistry; Boreal; Ecosystem; Carbon cycle; Organic matter; Environmental science; Chemistry; Bog; Ecology; Biology","score_opus":0.006946864728977036,"score_gpt":0.22012314347005352,"score_spread":0.21317627874107647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296619115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995752,0.000048134712,0.000035411605,0.000004994373,9.616771e-7,0.0000033271217,0.0001693862,0.0000028441666,0.00015964481],"genre_scores_gemma":[0.99939644,0.000025587287,0.000102478945,0.000007715488,8.9358065e-7,0.0000038606936,0.00021355065,0.0000011616406,0.00024821924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999347,0.0000034731106,0.0000030788253,0.000020703093,0.000012963922,0.000025045441],"domain_scores_gemma":[0.9998122,0.000012872123,0.00003144308,0.000004524305,0.00007837488,0.000060559367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013714132,0.0002102334,0.00023363497,0.00061781274,0.000852442,0.0006363113,0.00025630608,0.00022641968,0.00041863104],"category_scores_gemma":[0.00014086669,0.00011578832,0.00015702263,0.00037861135,0.0002579604,0.00020548128,0.00017721327,0.00016295891,0.00006803652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036773182,0.00014018448,0.8838148,0.000044334523,0.000064614906,0.00062539417,0.0009322493,0.00039552484,0.10723375,0.00004341793,0.00016683571,0.0061712535],"study_design_scores_gemma":[0.0000013213446,0.00001910474,0.99839044,0.0000019510728,0.000006354921,0.000028512846,0.00025222191,0.00032190373,0.00084856775,0.0000032750318,0.0001235022,0.0000028586674],"about_ca_topic_score_codex":0.66749686,"about_ca_topic_score_gemma":0.7706432,"teacher_disagreement_score":0.66749686,"about_ca_system_score_codex":0.0026260254,"about_ca_system_score_gemma":0.0012762144,"threshold_uncertainty_score":0.66892266},"labels":[],"label_agreement":null},{"id":"W4297900367","doi":"10.5194/bg-19-4387-2022","title":"Consistent responses of vegetation gas exchange to elevated atmospheric CO <sub>2</sub> emerge from heuristic and optimization models","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant responses to elevated CO2","field":"Agricultural and Biological Sciences","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Stockholms Universitet; H2020 European Research Council; Norges Forskningsråd; European Commission; Svenska Forskningsrådet Formas; U.S. Department of Energy; National Science Foundation","keywords":"Transpiration; Stomatal conductance; Canopy; Environmental science; Leaf area index; Atmospheric sciences; Carbon dioxide; Water-use efficiency; Vapour Pressure Deficit; Arid; Agronomy; Photosynthesis; Botany; Ecology; Biology","score_opus":0.025168585382894716,"score_gpt":0.21975195271888917,"score_spread":0.19458336733599446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297900367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9610963,0.00017207667,0.033784576,0.00034983212,0.000016268223,0.000031711545,0.00030916548,0.00010661664,0.0041334117],"genre_scores_gemma":[0.9954465,0.000057352332,0.0039541065,0.000044710236,0.0000040431855,0.000036098365,0.00012245156,0.000016218197,0.0003185385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997385,0.00013238886,0.0000113074875,0.000043086708,0.000026920194,0.000047748617],"domain_scores_gemma":[0.998026,0.0014158973,0.00030488634,0.00009141768,0.00009853022,0.00006328484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000985587,0.00062829786,0.0005503223,0.00035326427,0.00022649656,0.0009007955,0.0005230214,0.00081193907,0.00057065394],"category_scores_gemma":[0.0030403663,0.0002623401,0.0005851029,0.0002605854,0.0005597082,0.0004860179,0.0002908505,0.00045345147,0.00007960238],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006178521,0.00002679402,0.0026823906,0.000023687844,0.000040434268,0.000020232786,0.000015159063,0.9938691,0.0005027702,0.001468518,0.00010428886,0.001184768],"study_design_scores_gemma":[0.000009445092,0.000022241831,0.0012701944,0.000002737837,0.000007910115,0.000004840551,0.00001046979,0.99736905,0.00018205812,0.0010612223,0.000054848933,0.000004931369],"about_ca_topic_score_codex":0.007308231,"about_ca_topic_score_gemma":0.0057281633,"teacher_disagreement_score":0.007308231,"about_ca_system_score_codex":0.0010753773,"about_ca_system_score_gemma":0.0006521512,"threshold_uncertainty_score":0.014531434},"labels":[],"label_agreement":null},{"id":"W4299558305","doi":"10.5194/bg-5-353-2008","title":"Spatial variability of phytoplankton pigment distributions in the Subtropical South Pacific Ocean: comparison between in situ and predicted data","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":316,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique; Natural Sciences and Engineering Research Council of Canada; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Subtropics; Oceanography; In situ; Environmental science; Phytoplankton; Pacific ocean; Spatial distribution; Spatial variability; Ocean color; Climatology; Geology; Geography; Remote sensing; Meteorology; Biology; Ecology; Satellite; Mathematics; Statistics; Nutrient","score_opus":0.03729772384669941,"score_gpt":0.2340779873921315,"score_spread":0.1967802635454321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299558305","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990508,0.000035367284,0.00030093515,0.0000074411946,0.0000017169971,0.0000028431546,0.00037606133,0.000023037075,0.00020187709],"genre_scores_gemma":[0.9982461,0.000037716305,0.00052487326,0.0000037338184,0.0000021596436,0.0000067378155,0.0010852641,0.0000048990473,0.000088519504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999138,0.000012352508,0.000006247029,0.00003442967,0.000024282472,0.000008880087],"domain_scores_gemma":[0.9996501,0.00007802094,0.000076325596,0.00003824939,0.00012677693,0.000030499756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028141815,0.00025282445,0.00017636485,0.0006374527,0.00020823383,0.00038249532,0.00024333817,0.00021945607,0.00032115934],"category_scores_gemma":[0.00054316124,0.000182372,0.0002234285,0.00074349914,0.00018908193,0.00020099919,0.00019833978,0.00012950295,0.00011934441],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001498044,0.00005673048,0.9585828,0.00008536623,0.00012614806,0.00015586049,0.0004021495,0.0053185844,0.025865102,0.000033752323,0.00020001721,0.009023711],"study_design_scores_gemma":[0.000005157739,0.000019048643,0.99184656,0.0000050178332,0.000016434682,0.000042140568,0.00014385577,0.0062696994,0.0014096973,0.000013577005,0.00022321331,0.0000055522382],"about_ca_topic_score_codex":0.030406106,"about_ca_topic_score_gemma":0.035068985,"teacher_disagreement_score":0.030406106,"about_ca_system_score_codex":0.00041905767,"about_ca_system_score_gemma":0.00025439882,"threshold_uncertainty_score":0.060458243},"labels":[],"label_agreement":null},{"id":"W4300957598","doi":"10.5194/bg-4-781-2007","title":"Detailed validation of the bidirectional effect in various Case 1 waters for application to ocean color imagery","year":2007,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; European Space Agency; National Aeronautics and Space Administration","keywords":"Environmental science; Remote sensing; Geology","score_opus":0.007793118149490337,"score_gpt":0.21769244391622886,"score_spread":0.20989932576673853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300957598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95133656,0.00008750474,0.04478258,0.00008335694,0.000024218125,0.00009661684,0.00082707236,0.0009942077,0.0017678038],"genre_scores_gemma":[0.96796733,0.000038892562,0.030790139,0.00001675188,0.000003633834,0.0000413798,0.0007491724,0.00012960838,0.0002631659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9993874,0.00019135466,0.000042050637,0.00013821352,0.00017705162,0.00006398432],"domain_scores_gemma":[0.9983936,0.0005695207,0.0001250311,0.00036541486,0.0005019435,0.00004451736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017689874,0.000500629,0.0003011637,0.0004939632,0.0004977797,0.0005830025,0.0005339381,0.00040874816,0.0011189961],"category_scores_gemma":[0.0046899375,0.00022002427,0.0006250866,0.00067855476,0.00029901907,0.0005540161,0.0005010181,0.0003405274,0.0002707844],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010736604,0.00078043377,0.23079728,0.0004635352,0.00039662336,0.0006266555,0.0010153181,0.34564218,0.26972133,0.0021882462,0.0023471126,0.14494768],"study_design_scores_gemma":[0.00010186514,0.00032064618,0.107732706,0.000036644848,0.00009701574,0.00020041161,0.00017947023,0.7620259,0.12621887,0.00052698,0.0024676253,0.00009189576],"about_ca_topic_score_codex":0.023067737,"about_ca_topic_score_gemma":0.029132793,"teacher_disagreement_score":0.023067737,"about_ca_system_score_codex":0.00053904403,"about_ca_system_score_gemma":0.0005457053,"threshold_uncertainty_score":0.045866966},"labels":[],"label_agreement":null},{"id":"W4302079078","doi":"10.5194/bg-5-171-2008","title":"Relationships between the surface concentration of particulate organic carbon and optical properties in the eastern South Pacific and eastern Atlantic Oceans","year":2008,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"San Diego State University","keywords":"Particulate organic carbon; Oceanography; Particulates; Environmental science; Particulate organic matter; Total organic carbon; Carbon fibers; Climatology; Environmental chemistry; Geology; Chemistry; Materials science; Nutrient; Phytoplankton","score_opus":0.04024011568737259,"score_gpt":0.19001853424817966,"score_spread":0.14977841856080706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4302079078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99936086,0.000041132203,0.00014175996,0.000009891406,0.0000010440101,0.0000026204718,0.00012490626,0.0000041739463,0.00031365873],"genre_scores_gemma":[0.99921954,0.000041646905,0.00027291215,0.0000072810444,0.0000017033283,0.0000032492212,0.0002926103,0.0000018778776,0.00015913906],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999081,0.00001509792,0.000010468641,0.00002819622,0.000026237241,0.000011841218],"domain_scores_gemma":[0.99924433,0.00030127692,0.00012881073,0.00003700904,0.00024406385,0.000044553133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041901093,0.00025243932,0.00013215862,0.00038484254,0.00019672998,0.0004015078,0.00012258267,0.00013560623,0.0005813088],"category_scores_gemma":[0.0011776121,0.0001350538,0.00016707058,0.00049047783,0.00021385738,0.00024273498,0.00027248356,0.0001852676,0.0000900601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002703427,0.000008911505,0.99266255,0.000011223558,0.000050948493,0.000029504841,0.00007039097,0.00051193114,0.002988987,0.000017662189,0.000030327632,0.0035905764],"study_design_scores_gemma":[0.0000013317525,0.000006710969,0.99889994,0.0000015147283,0.0000055703044,0.000009214384,0.00006758578,0.0007467353,0.00019182469,0.000008849022,0.000059064834,0.0000016261065],"about_ca_topic_score_codex":0.062130753,"about_ca_topic_score_gemma":0.07612763,"teacher_disagreement_score":0.062130753,"about_ca_system_score_codex":0.00031345803,"about_ca_system_score_gemma":0.00030918172,"threshold_uncertainty_score":0.123538196},"labels":[],"label_agreement":null},{"id":"W4304689116","doi":"10.5194/bg-19-4779-2022","title":"Multi-year observations reveal a larger than expected autumn respiration signal across northeast Eurasia","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ames Research Center; Jet Propulsion Laboratory; Nuclear Safety and Security Commission; European Commission; California Institute of Technology; National Aeronautics and Space Administration; European Centre for Medium-Range Weather Forecasts; Grand Équipement National De Calcul Intensif; Universities Space Research Association; National Science Foundation","keywords":"Seasonality; Environmental science; Latitude; Boreal; Atmospheric sciences; Ecosystem; Climatology; Biome; Range (aeronautics); Ecology; Geography; Biology; Geology","score_opus":0.09749359716319822,"score_gpt":0.2818008248202099,"score_spread":0.18430722765701169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304689116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99374336,0.00039419445,0.00178807,0.00007468389,0.000017886481,0.00000589599,0.0025819049,0.000083948136,0.0013100683],"genre_scores_gemma":[0.9959369,0.00008768933,0.0011958462,0.00005460156,0.0000093104445,0.00000989706,0.0023556573,0.000018830677,0.000331315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973935,0.00003373735,0.000030104362,0.00013489524,0.00003192574,0.000029880232],"domain_scores_gemma":[0.9995567,0.00005381466,0.00015695626,0.00006461246,0.000120882345,0.000047086472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068246323,0.00027234148,0.00027915314,0.00036580965,0.00025874027,0.0006007167,0.00025559767,0.00022669078,0.0012428494],"category_scores_gemma":[0.0005460531,0.00015367416,0.00034881136,0.0005394097,0.0001520471,0.0004649493,0.00034091456,0.0002374645,0.00025943166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009343379,0.000031213298,0.9530007,0.000070252696,0.0002518592,0.000106061714,0.00018028807,0.0011409426,0.0292544,0.00007482163,0.00076578814,0.015030111],"study_design_scores_gemma":[0.0000030841672,0.00001014658,0.9970701,0.0000069422163,0.000016642032,0.00004399419,0.000049822476,0.0012666775,0.00063514814,0.000035953683,0.00085809873,0.0000034517195],"about_ca_topic_score_codex":0.011735428,"about_ca_topic_score_gemma":0.02739509,"teacher_disagreement_score":0.011735428,"about_ca_system_score_codex":0.00025937875,"about_ca_system_score_gemma":0.00026771676,"threshold_uncertainty_score":0.023334265},"labels":[],"label_agreement":null},{"id":"W4304689562","doi":"10.5194/bg-19-4767-2022","title":"Early life stages of a Mediterranean coral are vulnerable to ocean warming and acidification","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Stazione Zoologica Anton Dohrn; Centre National de la Recherche Scientifique; Robarts Research Institute; Agence Nationale de la Recherche","keywords":"Ocean acidification; Coral; Metamorphosis; Effects of global warming on oceans; Larva; Ecology; Biology; Mediterranean climate; Substrate (aquarium); Coral reef; Reef; Oceanography; Environmental science; Climate change; Global warming; Geology","score_opus":0.025603101603485803,"score_gpt":0.23403942866256985,"score_spread":0.20843632705908405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304689562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908495,0.00017159738,0.00004281825,0.0000129048185,0.0000021301917,0.0000047676713,0.00009659389,0.000002547316,0.00058161025],"genre_scores_gemma":[0.99902356,0.00012932034,0.000115130184,0.000022420745,0.000003153672,0.0000075622797,0.00014862369,0.0000017032331,0.0005486013],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999312,0.00001073,0.0000056706103,0.00001649588,0.000013221483,0.000022560424],"domain_scores_gemma":[0.99979836,0.000014333847,0.00008957245,0.000012613653,0.000035849745,0.000049217582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014936409,0.00023077919,0.00021881358,0.00028694188,0.00027193077,0.00031387727,0.00011621229,0.00022009372,0.0013649612],"category_scores_gemma":[0.0002407209,0.00012465527,0.0002636995,0.00013444963,0.00014370767,0.00016807643,0.00039083665,0.00025601522,0.00018962247],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006142588,0.00007793206,0.5212469,0.00013983011,0.00007128949,0.0005895588,0.0006856703,0.0003252633,0.46471786,0.00009866541,0.0002073073,0.011225491],"study_design_scores_gemma":[0.0000015224034,0.00010601102,0.99804085,0.0000036165445,0.00000604117,0.00007037163,0.00011136231,0.00003557083,0.0013269329,0.000013442168,0.00028216385,0.000002065284],"about_ca_topic_score_codex":0.0027396453,"about_ca_topic_score_gemma":0.0062174904,"teacher_disagreement_score":0.0027396453,"about_ca_system_score_codex":0.00026977633,"about_ca_system_score_gemma":0.00015894872,"threshold_uncertainty_score":0.0054474473},"labels":[],"label_agreement":null},{"id":"W4304690483","doi":"10.5194/bg-19-4801-2022","title":"Seed traits and phylogeny explain plants' geographic distribution","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Key Research and Development Program of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Biological dispersal; Biology; Range (aeronautics); Phylogenetics; Biogeography; Seed dispersal; Species distribution; Ecology; Intraspecific competition; Phylogenetic tree; Evolutionary biology; Population; Habitat","score_opus":0.008093828870554829,"score_gpt":0.20667925208472818,"score_spread":0.19858542321417336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4304690483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478084,0.00026962245,0.004190394,0.00004706115,0.0000017083205,0.0000026207852,0.00011168311,0.000020885429,0.0005751309],"genre_scores_gemma":[0.999479,0.000042312604,0.00036742463,0.000004586076,0.0000013812868,9.456072e-7,0.00004643285,0.0000038568505,0.000054145283],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998042,0.000090129266,0.000008653205,0.00005638575,0.000022574795,0.000018106848],"domain_scores_gemma":[0.9990429,0.00048470317,0.0002516357,0.00008216099,0.00007571566,0.000062739484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004688167,0.00025454757,0.00020221599,0.00056585786,0.00015955856,0.00036844492,0.00019992099,0.00017982967,0.0013680793],"category_scores_gemma":[0.0014899174,0.00011355595,0.00022234362,0.0005125348,0.00033656866,0.0003207744,0.00035248094,0.00020897294,0.00022577147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005670611,0.000018036028,0.9625177,0.0000527405,0.0002736941,0.00014831753,0.00020143308,0.006382676,0.015181248,0.00073113805,0.00015620682,0.014280211],"study_design_scores_gemma":[0.000002678089,0.000020063768,0.986174,0.0000074063405,0.000035945348,0.000095898424,0.00009718387,0.011952356,0.00034504887,0.0009362845,0.00032873492,0.0000043590935],"about_ca_topic_score_codex":0.0019146896,"about_ca_topic_score_gemma":0.0035839668,"teacher_disagreement_score":0.0019146896,"about_ca_system_score_codex":0.00015657872,"about_ca_system_score_gemma":0.00010033,"threshold_uncertainty_score":0.004576683},"labels":[],"label_agreement":null},{"id":"W4307629572","doi":"10.5194/bg-19-5007-2022","title":"Variation in calcification of <i>Reticulofenestra</i> coccoliths over the Oligocene–Early Miocene","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Paleontology and Stratigraphy of Fossils","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Coccolith; Calcite; Geology; Carbonate; Paleontology; Paleoceanography; Mineralogy; Dissolution; Cretaceous; Weathering; Calcium carbonate; Emiliania huxleyi; Calcification; Phytoplankton; Chemistry; Nutrient","score_opus":0.014654113938700567,"score_gpt":0.2221670905629711,"score_spread":0.20751297662427054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307629572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909663,0.00010834855,0.000048527825,0.0000070207348,8.6506896e-7,0.0000015795003,0.0001700613,0.0000050114195,0.000562074],"genre_scores_gemma":[0.99927205,0.00006830363,0.00012793539,0.000008653806,0.0000017623895,0.000002820806,0.00024009882,0.0000042132065,0.00027414394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986005,0.000008544798,0.0000072262637,0.000064752734,0.000023162713,0.000036188012],"domain_scores_gemma":[0.9994685,0.000059233258,0.00023003155,0.00002971314,0.00012728141,0.00008520791],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002167624,0.00024872404,0.00019972322,0.001138956,0.0005669268,0.0008402278,0.00030678924,0.00021550205,0.0010766776],"category_scores_gemma":[0.00058065343,0.00020452542,0.00015962445,0.0006790183,0.0005983319,0.00030640457,0.0004585867,0.00022282793,0.0002598364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011759703,0.000008323206,0.96416706,0.00002260819,0.000055776316,0.00012576858,0.0006298788,0.00013364918,0.028959503,0.000053180276,0.00009784466,0.00562887],"study_design_scores_gemma":[2.2845131e-7,0.0000031527288,0.99969673,9.08405e-7,0.0000018614783,0.000014871425,0.000031216066,0.000022779323,0.00014218515,8.8020454e-7,0.00008466855,5.334985e-7],"about_ca_topic_score_codex":0.13110687,"about_ca_topic_score_gemma":0.28807506,"teacher_disagreement_score":0.13110687,"about_ca_system_score_codex":0.0015640773,"about_ca_system_score_gemma":0.00036368036,"threshold_uncertainty_score":0.26068747},"labels":[],"label_agreement":null},{"id":"W4311785705","doi":"10.5194/bg-19-5751-2022","title":"Quantification of blue carbon in salt marshes of the Pacific coast of Canada","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Coastal wetland ecosystem dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Parks Canada; Simon Fraser University","funders":"Parks Canada; Commission for Environmental Cooperation","keywords":"Salt marsh; Marsh; Blue carbon; Oceanography; Environmental science; Context (archaeology); Peat; Wetland; Geography; Ecology; Geology; Carbon sequestration; Carbon dioxide; Biology","score_opus":0.007668900333242424,"score_gpt":0.18188952752929666,"score_spread":0.17422062719605425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311785705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99300957,0.00031698484,0.0003846715,0.000031682237,0.000007099774,0.00002424907,0.0030840752,0.000026269254,0.003115429],"genre_scores_gemma":[0.9941444,0.0003204265,0.0010034159,0.00003850624,0.0000024306933,0.000021767482,0.0022139705,0.0000108150025,0.002244227],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998184,0.0000049672976,0.0000064978517,0.000036468056,0.000092610506,0.000041001203],"domain_scores_gemma":[0.99918014,0.000021541437,0.00006632902,0.000014717314,0.0005921145,0.00012514667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016389578,0.00032803277,0.00016717592,0.0021830893,0.0014776764,0.0008089554,0.00037121092,0.00016672112,0.00079227105],"category_scores_gemma":[0.000442716,0.0001544392,0.000158289,0.0024967005,0.0003999168,0.00022499956,0.00041836355,0.00018280237,0.00017317156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059914306,0.000010081183,0.9825127,0.000034533998,0.000045481484,0.0001018209,0.00054577,0.00021549463,0.005975559,0.00007987123,0.00057041825,0.009848287],"study_design_scores_gemma":[0.0000011274067,0.000004941179,0.99776375,0.000009256083,0.000008707425,0.000021611968,0.00051222084,0.00032149005,0.00044578084,0.0000146132525,0.00089201203,0.000004440731],"about_ca_topic_score_codex":0.97212136,"about_ca_topic_score_gemma":0.990816,"teacher_disagreement_score":0.027878642,"about_ca_system_score_codex":0.0062735253,"about_ca_system_score_gemma":0.0051072296,"threshold_uncertainty_score":0.056085587},"labels":[],"label_agreement":null},{"id":"W4313475488","doi":"10.5194/bg-19-5893-2022","title":"Role of phosphorus in the seasonal deoxygenation of the East China Sea shelf","year":2022,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Environmental science; Hypoxia (environmental); Eutrophication; Nutrient; Oceanography; Estuary; Submarine pipeline; Biogeochemical cycle; Phosphorus; Ecology; Geology; Oxygen; Biology","score_opus":0.007255194592947618,"score_gpt":0.17818285191997413,"score_spread":0.1709276573270265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313475488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737144,0.00013083019,0.00078911125,0.00024232874,0.00001975621,0.000007460934,0.00014566754,0.000029101768,0.0012643618],"genre_scores_gemma":[0.99959904,0.00003888088,0.00013296505,0.000014641361,0.0000022111833,0.0000028860673,0.000048272716,0.0000047020094,0.00015636483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999299,0.000013960097,0.0000075218773,0.000023010074,0.000009869911,0.000015716381],"domain_scores_gemma":[0.99983776,0.000050309616,0.000027422864,0.000011481394,0.00003655871,0.00003640052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002521627,0.00059324433,0.0002982532,0.0003302497,0.0006760625,0.0010641544,0.00057411875,0.00089009904,0.0010600418],"category_scores_gemma":[0.0005763409,0.00038820988,0.00073666126,0.00032171645,0.00061881106,0.0008434569,0.0008270977,0.00044668373,0.00008647903],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050841627,0.00018826677,0.3224025,0.0001309517,0.00026702404,0.0009107812,0.0002509509,0.6130342,0.051365275,0.0030492675,0.0007025642,0.0071897204],"study_design_scores_gemma":[0.00014320332,0.00018378833,0.14088732,0.000015175312,0.0000941103,0.00006109168,0.00021615755,0.8526315,0.0038324161,0.0012947777,0.00060090335,0.000039560913],"about_ca_topic_score_codex":0.06425862,"about_ca_topic_score_gemma":0.031736035,"teacher_disagreement_score":0.06425862,"about_ca_system_score_codex":0.0015106112,"about_ca_system_score_gemma":0.0014969021,"threshold_uncertainty_score":0.12776923},"labels":[],"label_agreement":null},{"id":"W4315647548","doi":"10.5194/bg-20-141-2023","title":"Phytoplankton reaction to an intense storm in the north-western Mediterranean Sea","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"Centre National d’Etudes Spatiales; Institut national des sciences de l'Univers; Aix-Marseille Université","keywords":"Phytoplankton; Oceanography; Environmental science; Mediterranean sea; Biogeochemistry; Context (archaeology); Chlorophyll a; Acoustic Doppler current profiler; Storm; Water column; Mixed layer; Marine ecosystem; Sea surface temperature; Mediterranean climate; Ecosystem; Current (fluid); Geology; Nutrient; Ecology; Chemistry; Biology","score_opus":0.0377194749469763,"score_gpt":0.24654833349847624,"score_spread":0.20882885855149994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315647548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99957997,0.000040215946,0.00003252944,0.000025670695,0.000010072288,0.0000062197305,0.00009000805,0.0000032537798,0.00021207408],"genre_scores_gemma":[0.9994337,0.000040083407,0.00006142106,0.000040086466,0.000011947236,0.000007897394,0.00017405795,0.0000016589206,0.00022918313],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999157,0.000013916976,0.000006494903,0.000025772351,0.000020629072,0.000017571363],"domain_scores_gemma":[0.9998062,0.000016699005,0.0000653517,0.000011438474,0.00004351614,0.000056885143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002417739,0.0002629055,0.00034025265,0.00021307296,0.00027775596,0.0004078479,0.0001259328,0.00055285316,0.0006153123],"category_scores_gemma":[0.0003487144,0.00011718477,0.00025305647,0.00018901739,0.00019545913,0.00014856539,0.00037578738,0.00027705086,0.00016366356],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001051886,0.00015908168,0.9186823,0.00007573639,0.00017130715,0.0013846568,0.0008460468,0.0008839148,0.06960418,0.0000266015,0.00065456034,0.0064598075],"study_design_scores_gemma":[0.000009201169,0.00011512573,0.9987134,0.0000023084278,0.000009525404,0.00004460162,0.00019046883,0.0002856128,0.00042868036,0.0000075508965,0.00019134326,0.00000216712],"about_ca_topic_score_codex":0.008226669,"about_ca_topic_score_gemma":0.009056912,"teacher_disagreement_score":0.008226669,"about_ca_system_score_codex":0.00053639605,"about_ca_system_score_gemma":0.00022098974,"threshold_uncertainty_score":0.016357541},"labels":[],"label_agreement":null},{"id":"W4320916527","doi":"10.5194/bg-20-737-2023","title":"Duration of extraction determines CO <sub>2</sub> and CH <sub>4</sub> emissions from an actively extracted peatland in eastern Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Sphagnum Peat Moss Association","keywords":"Peat; Drainage; Greenhouse gas; Carbon dioxide; Extraction (chemistry); Environmental science; Hydrology (agriculture); Flux (metallurgy); Atmospheric sciences; Geology; Chemistry; Geography; Ecology; Geotechnical engineering","score_opus":0.014397283366572823,"score_gpt":0.24819793621186367,"score_spread":0.23380065284529086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4320916527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99770314,0.000108133885,0.0001551393,0.000024635883,0.0000017057448,0.0000074791046,0.00089776353,0.0000065317136,0.0010955717],"genre_scores_gemma":[0.9978678,0.00009175655,0.00017938831,0.00002232084,0.000001313283,0.0000076226984,0.0007278598,0.000006019467,0.0010958464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999858,0.000005768294,0.0000050936096,0.000038792165,0.000043464883,0.000048743306],"domain_scores_gemma":[0.9994949,0.000040450148,0.00008206047,0.000014874266,0.00027888812,0.00008871025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015265796,0.00024832785,0.00019460464,0.00047772474,0.0010612812,0.00090311543,0.0003644,0.00018154459,0.0014604144],"category_scores_gemma":[0.00028759975,0.00016427033,0.00019892139,0.0007939538,0.00044997167,0.000298532,0.00027344518,0.00021138432,0.00014798684],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020570077,0.000053020325,0.9496984,0.00006354786,0.00010479579,0.0002093326,0.00088220276,0.0009680304,0.03431317,0.00008369571,0.00068154605,0.0127366735],"study_design_scores_gemma":[0.000001132929,0.000004852293,0.9984497,0.0000046746404,0.000005145352,0.000010099968,0.00023096283,0.00032031443,0.00050267234,0.000004529754,0.00046247838,0.0000034362033],"about_ca_topic_score_codex":0.96136,"about_ca_topic_score_gemma":0.9883823,"teacher_disagreement_score":0.038640022,"about_ca_system_score_codex":0.0082485005,"about_ca_system_score_gemma":0.004165726,"threshold_uncertainty_score":0.077735126},"labels":[],"label_agreement":null},{"id":"W4321787630","doi":"10.5194/bg-20-839-2023","title":"Temporal and spatial evolution of bottom-water hypoxia in the St Lawrence estuarine system","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Université du Québec à Montréal; McGill University; Dalhousie University; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Oceanography; Estuary; Benthic zone; Continental shelf; Bottom water; Hypoxia (environmental); Gulf Stream; Geology; Saturation (graph theory); Environmental science; Oxygen; Chemistry","score_opus":0.012747049586213583,"score_gpt":0.20338066604532737,"score_spread":0.19063361645911378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321787630","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984273,0.000063707295,0.000027190903,0.00010192394,0.0000031282466,0.0000021117335,0.0007767383,0.0000071889417,0.0005908623],"genre_scores_gemma":[0.9987576,0.00005435896,0.000039787425,0.000017937053,0.0000034233497,0.000004624073,0.00070061174,0.0000019000736,0.00041972712],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998253,0.000025016374,0.000017492146,0.00004172011,0.00003622674,0.000054203883],"domain_scores_gemma":[0.99883217,0.000092889764,0.00044543608,0.00003516095,0.00041627884,0.00017811812],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024158496,0.00012793388,0.00015222958,0.00092918176,0.0004933907,0.00086665,0.00039439963,0.00032843175,0.0011304703],"category_scores_gemma":[0.0009317052,0.00017154326,0.0001677946,0.0012781407,0.00032584375,0.00041535735,0.00071457395,0.00029486715,0.00020994413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003125603,0.000013463758,0.9976857,0.0000074097256,0.000024385668,0.00003559726,0.0002465342,0.000110731315,0.00018088834,0.000036520887,0.00031862667,0.0013089076],"study_design_scores_gemma":[8.4591136e-7,0.0000066702532,0.9990809,0.0000038095375,0.0000036362787,0.000010285006,0.00038861076,0.0002405073,0.000022349233,0.0000057132543,0.00023496665,0.0000017078429],"about_ca_topic_score_codex":0.44504425,"about_ca_topic_score_gemma":0.72016734,"teacher_disagreement_score":0.5549557,"about_ca_system_score_codex":0.0019860175,"about_ca_system_score_gemma":0.0012517483,"threshold_uncertainty_score":0.8849076},"labels":[],"label_agreement":null},{"id":"W4323066272","doi":"10.5194/bg-20-489-2023","title":"Soil organic matter diagenetic state informs boreal forest ecosystem feedbacks to climate change","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"Canadian Forest Service; Memorial University of Newfoundland; Texas A and M University Galveston; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Environmental science; Diagenesis; Boreal; Climate change; Soil carbon; Taiga; Biogeochemical cycle; Forest floor; Ecosystem; Soil organic matter; Carbon cycle; Ecology; Earth science; Soil science; Geology; Soil water; Oceanography; Geochemistry; Biology","score_opus":0.020012226536930692,"score_gpt":0.22170864230669854,"score_spread":0.20169641576976785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323066272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977937,0.00026780067,0.00067736296,0.00003651815,0.000009913224,0.000010008674,0.0005164522,0.000025569454,0.000662602],"genre_scores_gemma":[0.99879515,0.000067294684,0.0006553703,0.000029942708,0.0000064936785,0.000005598349,0.0003260525,0.0000051419265,0.00010883876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997991,0.000038471644,0.000015541978,0.0000882608,0.000028051754,0.000030708765],"domain_scores_gemma":[0.99941444,0.00006592672,0.00025401008,0.000040523802,0.00013327613,0.00009179208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005578596,0.0003514235,0.00018924658,0.0006827699,0.0004102083,0.0008017859,0.00017789603,0.00029312176,0.00065191713],"category_scores_gemma":[0.00050961925,0.00015792326,0.00022012249,0.00053320365,0.00034162073,0.0006586168,0.0003279871,0.0002867283,0.00012183674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014584811,0.00006622341,0.94629276,0.00004341509,0.00008561099,0.000057243687,0.0002656402,0.00052490726,0.044361245,0.00009184281,0.00015219195,0.007913111],"study_design_scores_gemma":[0.000001459118,0.000024908348,0.9981364,0.0000025915792,0.000009290101,0.00002309845,0.000095222844,0.00063704926,0.0007815107,0.00004093683,0.00024294633,0.0000046594846],"about_ca_topic_score_codex":0.015152942,"about_ca_topic_score_gemma":0.04948439,"teacher_disagreement_score":0.015152942,"about_ca_system_score_codex":0.00038201938,"about_ca_system_score_gemma":0.00027672932,"threshold_uncertainty_score":0.030129492},"labels":[],"label_agreement":null},{"id":"W4327729204","doi":"10.5194/bg-20-1063-2023","title":"Deforestation for agriculture leads to soil warming and enhanced litter decomposition in subarctic soils","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; Deutsche Forschungsgemeinschaft","keywords":"Environmental science; Soil water; Subsoil; Deforestation (computer science); Topsoil; Subarctic climate; Grassland; Soil organic matter; Climate change; Ecosystem; Litter; Agroforestry; Soil science; Agronomy; Ecology","score_opus":0.029903353679306542,"score_gpt":0.27592415200816883,"score_spread":0.24602079832886228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327729204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996941,0.00011936869,0.00002687875,0.0000036853519,6.290005e-7,0.0000012038169,0.000059116024,0.000001977905,0.000093106566],"genre_scores_gemma":[0.9995116,0.00012130567,0.000071739756,0.000010218562,8.1428965e-7,0.0000017591877,0.0001495898,0.0000010681589,0.00013179767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999145,0.000011790654,0.000005369792,0.000023711687,0.000013764533,0.000030941712],"domain_scores_gemma":[0.9997919,0.000018438846,0.00008523451,0.000011362444,0.000038806025,0.000054183416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001454828,0.00019818913,0.00016996817,0.00034967487,0.00028908974,0.00035616365,0.000104828585,0.00010150315,0.00047016804],"category_scores_gemma":[0.000104766434,0.00011595273,0.00016207872,0.00033572118,0.00022650475,0.000101076716,0.00014052205,0.00014320837,0.00007581101],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028264392,0.00006234656,0.8302636,0.00008556929,0.000101075195,0.00022973967,0.00028158134,0.00017935828,0.16431592,0.0000247123,0.00007159871,0.00410186],"study_design_scores_gemma":[5.5692635e-7,0.00000758749,0.99933213,0.0000010070987,0.000004221854,0.000019417288,0.000060950137,0.000030785275,0.000507,0.0000020354605,0.000033859636,4.318732e-7],"about_ca_topic_score_codex":0.12177351,"about_ca_topic_score_gemma":0.29452336,"teacher_disagreement_score":0.12177351,"about_ca_system_score_codex":0.00075680163,"about_ca_system_score_gemma":0.000652131,"threshold_uncertainty_score":0.24212945},"labels":[],"label_agreement":null},{"id":"W4360611920","doi":"10.5194/bg-20-1089-2023","title":"Assimilation of multiple datasets results in large differences in regional- to global-scale NEE and GPP budgets simulated by a terrestrial biosphere model","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Lawrence Berkeley National Laboratory; Oak Ridge National Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; Biological and Environmental Research; Natural Sciences and Engineering Research Council of Canada; FP7 Space; University of Virginia; Natural Resources Canada; Università degli Studi della Tuscia; Université Laval; Microsoft Research; Seventh Framework Programme; U.S. Department of Energy; National Science Foundation","keywords":"Biosphere; Environmental science; Data assimilation; Primary production; Biosphere model; Terrestrial ecosystem; Carbon cycle; Carbon flux; Carbon sink; Atmospheric sciences; Climatology; Ecosystem; Carbon dioxide in Earth's atmosphere; Climate change; Meteorology; Ecology; Geography; Geology","score_opus":0.018022221175891442,"score_gpt":0.24435042094544984,"score_spread":0.2263281997695584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360611920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896332,0.00009069214,0.007420716,0.0001803171,0.000057537694,0.00001883585,0.0012033598,0.00029003667,0.0011052812],"genre_scores_gemma":[0.9912838,0.000040065992,0.006913863,0.000053481344,0.000005478015,0.000024344585,0.0014019165,0.00005022086,0.00022690599],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999718,0.00005702471,0.000026245616,0.0001158171,0.000047524034,0.00003537886],"domain_scores_gemma":[0.99951136,0.00016199426,0.00004240863,0.00015374593,0.00009477433,0.000035731708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094334193,0.00051148556,0.00035722207,0.00028157732,0.0004018239,0.0007305942,0.0005421232,0.0006424222,0.0006388698],"category_scores_gemma":[0.0016273817,0.00033839163,0.0007215882,0.0005379428,0.00036759514,0.0011095797,0.00060540944,0.0009079328,0.00012724708],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034488714,0.00048538446,0.07343883,0.00008995889,0.00083548826,0.00018133158,0.00013712673,0.8628317,0.032839663,0.0027594697,0.001966378,0.024089815],"study_design_scores_gemma":[0.00006540537,0.000046305064,0.026589964,0.000008194504,0.00006651175,0.000020606463,0.000050564548,0.96240604,0.00863449,0.0007893131,0.0012932975,0.00002927004],"about_ca_topic_score_codex":0.024144378,"about_ca_topic_score_gemma":0.024172695,"teacher_disagreement_score":0.024144378,"about_ca_system_score_codex":0.0008345283,"about_ca_system_score_gemma":0.0007463198,"threshold_uncertainty_score":0.048007667},"labels":[],"label_agreement":null},{"id":"W4362587203","doi":"10.5194/bg-20-1195-2023","title":"The representation of alkalinity and the carbonate pump from CMIP5 to CMIP6 Earth system models and implications for the carbon cycle","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Horizon 2020; Natural Environment Research Council; Sorbonne Université; Centre National de la Recherche Scientifique; Ministero dell’Istruzione, dell’Università e della Ricerca; Centre National d’Etudes Spatiales; Ministry of Education, Culture, Sports, Science and Technology; Agence Nationale de la Recherche; U.S. Department of Energy; European Commission; Environmental Restoration and Conservation Agency; National Oceanic and Atmospheric Administration; Sight Research UK; Norges Forskningsråd; Commonwealth Scientific and Industrial Research Organisation; Australian Government; National Science Foundation","keywords":"Alkalinity; Carbon cycle; Environmental science; Biogeochemical cycle; Carbonate; Dissolved organic carbon; Total inorganic carbon; Calcium carbonate; Ocean acidification; Biological pump; Coupled model intercomparison project; Oceanography; Atmospheric sciences; Carbon dioxide; Geology; Ecosystem; Environmental chemistry; Seawater; Chemistry; Climate model; Climate change; Ecology; Biology","score_opus":0.03347962985296959,"score_gpt":0.2651227397305292,"score_spread":0.2316431098775596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362587203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9456452,0.0011537896,0.020851564,0.002287977,0.00038849466,0.00006023435,0.016567286,0.0017424062,0.011303021],"genre_scores_gemma":[0.9836,0.00050131214,0.010146794,0.00026448237,0.000050685197,0.00004796545,0.0046153627,0.00019029302,0.00058310886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999744,0.000076932694,0.000026950163,0.00007227523,0.00004798333,0.000031858246],"domain_scores_gemma":[0.99925405,0.00021207087,0.00009834804,0.000115682895,0.00023393627,0.00008582913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010705843,0.0008815776,0.00034671175,0.0006749951,0.0004243776,0.0014539431,0.0011490636,0.0012540664,0.0029375134],"category_scores_gemma":[0.0034102872,0.00045136226,0.00093604863,0.0014603643,0.0004195375,0.00100652,0.00082412,0.0010090902,0.00046870523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022624242,0.00006853722,0.05962312,0.0002466353,0.00047534305,0.00017587845,0.00015014643,0.9036266,0.006065273,0.0038535465,0.0053096362,0.020179065],"study_design_scores_gemma":[0.00015386492,0.00005672652,0.039015524,0.00007222599,0.00014369607,0.000064589454,0.00012596352,0.9460118,0.0030354415,0.0021657809,0.009089388,0.00006513963],"about_ca_topic_score_codex":0.07854276,"about_ca_topic_score_gemma":0.031354606,"teacher_disagreement_score":0.07854276,"about_ca_system_score_codex":0.001573769,"about_ca_system_score_gemma":0.0010978314,"threshold_uncertainty_score":0.1561712},"labels":[],"label_agreement":null},{"id":"W4362668622","doi":"10.5194/bg-20-1313-2023","title":"Towards an ensemble-based evaluation of land surface models in light of uncertain forcings and observations","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Land cover; Forcing (mathematics); Carbon sink; Carbon cycle; Biogeochemical cycle; Atmospheric sciences; Climatology; Latent heat; Sensible heat; Land use; Meteorology; Ecosystem; Climate change; Geology; Geography","score_opus":0.116372087463204,"score_gpt":0.32176849144178093,"score_spread":0.20539640397857695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362668622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8713708,0.00015779116,0.1240849,0.00019388477,0.000032597247,0.00008868163,0.00073214277,0.00064904295,0.0026901427],"genre_scores_gemma":[0.9744855,0.000031663258,0.02483316,0.000024307526,0.000008009184,0.000046727386,0.0004110124,0.000040778785,0.00011881623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999127,0.00053813716,0.00004722134,0.00008380234,0.00015021831,0.000053796346],"domain_scores_gemma":[0.99765766,0.001091719,0.00023331432,0.00038016157,0.000556115,0.00008095566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049086628,0.0007428178,0.0006475393,0.00063463394,0.00035033253,0.00095037406,0.00067217695,0.0006521002,0.0005436549],"category_scores_gemma":[0.007683851,0.00028057964,0.0005056358,0.00047212862,0.00029647112,0.0010643993,0.0008207146,0.0006826837,0.00009002729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006466739,0.000050455223,0.007234867,0.000014388818,0.000078920246,0.000019687244,0.000017741508,0.9832169,0.0015980505,0.0006432041,0.0001563457,0.0069047296],"study_design_scores_gemma":[0.0000048428183,0.0000243694,0.0009203948,0.0000028186766,0.000008390861,0.0000024391336,0.000008209395,0.99801314,0.0007006556,0.00024987888,0.00006120965,0.0000036482718],"about_ca_topic_score_codex":0.013869752,"about_ca_topic_score_gemma":0.012972481,"teacher_disagreement_score":0.013869752,"about_ca_system_score_codex":0.001015182,"about_ca_system_score_gemma":0.00075585715,"threshold_uncertainty_score":0.027578056},"labels":[],"label_agreement":null},{"id":"W4366288318","doi":"10.5194/bg-20-1537-2023","title":"Carbon emissions and radiative forcings from tundra wildfires in the Yukon–Kuskokwim River Delta, Alaska","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Polar Programs; Hamilton College; Gordon and Betty Moore Foundation; National Aeronautics and Space Administration; National Science Foundation","keywords":"Tundra; Radiative forcing; Environmental science; Atmospheric sciences; Greenhouse gas; Arctic; Radiative transfer; Aerosol; Climatology; Meteorology; Geography; Oceanography; Geology","score_opus":0.037463607387315294,"score_gpt":0.2471796283390393,"score_spread":0.209716020951724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366288318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993759,0.000028974608,0.0001425094,0.000010265892,0.0000016988056,0.0000017463361,0.00024131984,0.0000091643815,0.00018849365],"genre_scores_gemma":[0.99938726,0.000026395093,0.0001884852,0.0000060456287,8.6863776e-7,0.0000037112861,0.0003127372,0.0000018186995,0.00007264984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998895,0.000015319678,0.000013711324,0.00003844453,0.000024962974,0.000018152223],"domain_scores_gemma":[0.99986875,0.00002676643,0.000028943676,0.000017935017,0.000039626866,0.000017971965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002881665,0.00028651953,0.00017086153,0.00043042784,0.00045543766,0.00043041288,0.00030513448,0.00024019039,0.00030376358],"category_scores_gemma":[0.0003654475,0.00018618067,0.00043174674,0.00054262596,0.00022905375,0.00026931864,0.00033276636,0.00016706868,0.000058369977],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012724813,0.000055297078,0.93798006,0.000043243526,0.00016044581,0.00016459735,0.00016863797,0.047292735,0.007965726,0.00014952097,0.00019245326,0.0057],"study_design_scores_gemma":[0.00001751808,0.000023846043,0.95964676,0.00001547722,0.000059427875,0.000057104153,0.0004133662,0.03737346,0.0018969048,0.00009550506,0.00038386227,0.000016906135],"about_ca_topic_score_codex":0.205153,"about_ca_topic_score_gemma":0.25825134,"teacher_disagreement_score":0.205153,"about_ca_system_score_codex":0.0012563427,"about_ca_system_score_gemma":0.00072727585,"threshold_uncertainty_score":0.40791774},"labels":[],"label_agreement":null},{"id":"W4376954698","doi":"10.5194/bg-20-1773-2023","title":"Sea–air methane flux estimates derived from marine surface observations and instantaneous atmospheric measurements in the northern Labrador Sea and Baffin Bay","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Dalhousie University; St. Francis Xavier University; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Bay; Water column; Oceanography; Environmental science; Arctic; Methane; Surface water; Atmospheric methane; Current (fluid); Seawater; Submarine; Flux (metallurgy); Baseline (sea); Petroleum seep; Geology; Atmospheric sciences; Greenhouse gas","score_opus":0.03200936558322893,"score_gpt":0.2322701090282229,"score_spread":0.20026074344499398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376954698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985164,0.000064491185,0.00007053789,0.000014897206,0.0000029187834,0.000004804176,0.00077617966,0.000014647418,0.00053517515],"genre_scores_gemma":[0.9965886,0.00006296996,0.00034038248,0.000013696826,0.0000055765495,0.000015430891,0.0025671965,0.0000041407343,0.00040208732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997421,0.000024048531,0.0000213245,0.00008004543,0.00006791016,0.00006456456],"domain_scores_gemma":[0.9996568,0.00003298046,0.000096389966,0.000022116645,0.00011342402,0.000078220226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033278696,0.0005015413,0.00027468923,0.0013500956,0.00060926605,0.000828207,0.00055873924,0.00029820285,0.0009580389],"category_scores_gemma":[0.00051621394,0.00025740123,0.00038976935,0.0010883118,0.00029063568,0.00041838986,0.0004872773,0.00025533218,0.00026990677],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010380062,0.00003915387,0.9880453,0.000019067884,0.000066267814,0.000075078104,0.00018134218,0.0005700132,0.0054355,0.000019853724,0.0003033573,0.00514121],"study_design_scores_gemma":[0.0000048819084,0.000010636447,0.9986719,0.0000036895303,0.00001061542,0.000010650557,0.00010728641,0.00076893455,0.00023373913,0.0000017900611,0.00017197686,0.0000038883973],"about_ca_topic_score_codex":0.5195989,"about_ca_topic_score_gemma":0.675164,"teacher_disagreement_score":0.4804011,"about_ca_system_score_codex":0.0017678408,"about_ca_system_score_gemma":0.00095208606,"threshold_uncertainty_score":0.9664606},"labels":[],"label_agreement":null},{"id":"W4378086468","doi":"10.5194/bg-20-1863-2023","title":"A comparison of the climate and carbon cycle effects of carbon removal by afforestation and an equivalent reduction in fossil fuel emissions","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Division of Ocean Sciences; Zhejiang University; Department of Science and Technology, Ministry of Science and Technology, India; University of Victoria; Indian Institute of Science","keywords":"Afforestation; Fossil fuel; Environmental science; Biogeochemical cycle; Greenhouse gas; Carbon cycle; Carbon sequestration; Climate change; Atmospheric sciences; Ecology; Agroforestry; Carbon dioxide; Geology; Waste management; Engineering; Ecosystem; Biology","score_opus":0.010325069862053437,"score_gpt":0.26298713664035017,"score_spread":0.2526620667782967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378086468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974619,0.000038841994,0.0004029391,0.00010205551,0.000016801052,0.000009213965,0.00018269358,0.00001563249,0.001769887],"genre_scores_gemma":[0.9992447,0.000024367542,0.00038721386,0.000032541266,0.000003794475,0.000008524601,0.0001620159,0.0000042349084,0.0001325651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997446,0.00011681643,0.000013170318,0.000032739914,0.000030151756,0.00006242414],"domain_scores_gemma":[0.99912375,0.0005387026,0.00007620266,0.000065798646,0.000093812436,0.00010172528],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061695924,0.0004555634,0.00049033243,0.00037777078,0.00039666006,0.0005267677,0.0005885754,0.0007932407,0.0018177051],"category_scores_gemma":[0.0021925797,0.00017777784,0.0010441397,0.0004635765,0.0005925902,0.0005607663,0.00043974924,0.0006029141,0.00006264051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042618674,0.00026177868,0.017562568,0.000061163315,0.00022409085,0.00018622556,0.000031933476,0.97364736,0.0030000687,0.002292121,0.0004193381,0.001887116],"study_design_scores_gemma":[0.0006491719,0.001062229,0.041323934,0.000014990511,0.00024406082,0.00006326983,0.0002791223,0.9488186,0.0033869548,0.0031248515,0.0009801026,0.000052642456],"about_ca_topic_score_codex":0.024089672,"about_ca_topic_score_gemma":0.016609501,"teacher_disagreement_score":0.024089672,"about_ca_system_score_codex":0.00095953845,"about_ca_system_score_gemma":0.00075325446,"threshold_uncertainty_score":0.04789889},"labels":[],"label_agreement":null},{"id":"W4380683764","doi":"10.5194/bg-20-2117-2023","title":"Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Biological and Environmental Research; Office of Science; National Institute of Food and Agriculture; Hawkesbury Institute for the Environment, Western Sydney University; Deutsches Zentrum für integrative Biodiversitätsforschung Halle-Jena-Leipzig; Western Sydney University; Deutsche Forschungsgemeinschaft; Department of Industry and Science, Australian Government; Københavns Universitet; Bundesministerium für Bildung und Forschung; University of Utah; Northern Research Station; Purdue University; U.S. Forest Service; U.S. Geological Survey; Agence Nationale de la Recherche; U.S. Department of Agriculture; Australian Government; U.S. Department of Energy; National Science Foundation","keywords":"Ecosystem; Environmental science; Biomass (ecology); Climate change; Climatology; Climate extremes; Atmospheric sciences; Climate model; Ecosystem model; Vegetation (pathology); Carbon cycle; Physical geography; Ecology; Geography; Geology","score_opus":0.10604223553244546,"score_gpt":0.2941727943218996,"score_spread":0.18813055878945412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380683764","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86511123,0.002286178,0.11925378,0.0030760032,0.00016744806,0.0006055057,0.0022385668,0.0002889289,0.0069722566],"genre_scores_gemma":[0.9683257,0.0011430525,0.028267762,0.00028755292,0.00006137267,0.0007772144,0.00084208924,0.00003297007,0.0002622212],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9992723,0.00042310613,0.00006219111,0.00012992037,0.000059031037,0.000053390042],"domain_scores_gemma":[0.9931064,0.0054443325,0.0006989478,0.00038149682,0.0002317044,0.00013712265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004978191,0.0008456475,0.0006479442,0.0005930482,0.00045399362,0.001261506,0.0016516675,0.00091258937,0.0032691658],"category_scores_gemma":[0.0087747695,0.00037039418,0.0009558681,0.0006556591,0.0012642937,0.0025033834,0.0009837357,0.0017912467,0.00018932403],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001716193,0.0025763907,0.06653312,0.0022247324,0.0010373833,0.00037248692,0.0004668354,0.785207,0.029759588,0.07016521,0.0024150924,0.03752603],"study_design_scores_gemma":[0.00031102702,0.0011757357,0.016905198,0.00029316155,0.000356003,0.00004483208,0.0006908779,0.8592526,0.0053592767,0.112689994,0.0028068551,0.000114496805],"about_ca_topic_score_codex":0.0025636225,"about_ca_topic_score_gemma":0.002423557,"teacher_disagreement_score":0.004978191,"about_ca_system_score_codex":0.0013841637,"about_ca_system_score_gemma":0.0006785247,"threshold_uncertainty_score":0.02632755},"labels":[],"label_agreement":null},{"id":"W4380995470","doi":"10.5194/bg-20-2189-2023","title":"Seasonal controls override forest harvesting effects on the composition of dissolved organic matter mobilized from boreal forest soil organic horizons","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; Memorial University of Newfoundland","funders":"Natural Resources Canada; U.S. Forest Service; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Dissolved organic carbon; Environmental science; Organic matter; Soil water; Nutrient; Environmental chemistry; Taiga; Total organic carbon; Soil organic matter; Hydrology (agriculture); Chemistry; Agronomy; Ecology; Soil science; Biology; Geology","score_opus":0.010204675552387235,"score_gpt":0.19775618553679408,"score_spread":0.18755150998440684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380995470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99883777,0.00014180783,0.000291476,0.000011522954,0.000006964686,0.000013321123,0.00021937418,0.00001783434,0.00046007519],"genre_scores_gemma":[0.99863356,0.00004323227,0.00034366924,0.000040307474,0.0000086923565,0.00003135897,0.00035603772,0.000012007183,0.0005310089],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99979895,0.000024350269,0.000013960557,0.000095558265,0.000022929913,0.000044350403],"domain_scores_gemma":[0.9995345,0.000082648054,0.00013752867,0.00005429929,0.000059397255,0.0001317165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002575952,0.00028608472,0.00035245458,0.00023385872,0.0003742474,0.00044232892,0.00024231161,0.00018305091,0.0009500314],"category_scores_gemma":[0.00021868345,0.00017911881,0.00019664035,0.00017663125,0.000444183,0.00032608275,0.00030367787,0.0003994335,0.00011155081],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017082499,0.00023808754,0.09167051,0.000058949794,0.000066789515,0.000100901285,0.00018414867,0.00010552222,0.898495,0.00008335753,0.00013300641,0.0071554203],"study_design_scores_gemma":[0.0000092275295,0.00022653831,0.9884815,0.000001931972,0.000016853475,0.000025764173,0.00008486936,0.00017622861,0.010550505,0.000022898155,0.00039804258,0.0000056049576],"about_ca_topic_score_codex":0.004161594,"about_ca_topic_score_gemma":0.010596058,"teacher_disagreement_score":0.004161594,"about_ca_system_score_codex":0.00039510182,"about_ca_system_score_gemma":0.00031058327,"threshold_uncertainty_score":0.008274734},"labels":[],"label_agreement":null},{"id":"W4381334619","doi":"10.5194/bg-20-2265-2023","title":"Mapping of ESA's Climate Change Initiative land cover data to plant functional types for use in the CLASSIC land model","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Land cover; Vegetation (pathology); Remote sensing; Land use; Distribution (mathematics); Product (mathematics); Environmental science; Physical geography; Geography; Computer science; Mathematics; Ecology","score_opus":0.18389318169449775,"score_gpt":0.27880725715898397,"score_spread":0.09491407546448621,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381334619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6739638,0.0003573277,0.022418255,0.00034280613,0.0000906822,0.0002900984,0.28313732,0.0030930196,0.01630669],"genre_scores_gemma":[0.62488246,0.00016801624,0.056269888,0.00009643081,0.000017661203,0.00019828213,0.31470063,0.00026894672,0.0033976824],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995758,0.000031576477,0.000019199355,0.00012972481,0.00019312376,0.000050517374],"domain_scores_gemma":[0.99915886,0.00007103397,0.000059668346,0.00013065444,0.00050298695,0.00007681533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055012613,0.00039906337,0.00030445738,0.0019352112,0.0003754597,0.00065367005,0.00057458074,0.00023343434,0.0014398524],"category_scores_gemma":[0.0013762802,0.00013854983,0.0006014142,0.003480947,0.00022333459,0.00033096515,0.0005910263,0.00040286907,0.0005044463],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006661543,0.0003906387,0.47711015,0.00045539121,0.0006568261,0.00034698466,0.0007157358,0.17160037,0.012316586,0.006643655,0.09978389,0.22931357],"study_design_scores_gemma":[0.00010485466,0.000053235348,0.65444213,0.000060522696,0.00009210752,0.00008959923,0.0007456637,0.26604176,0.00917774,0.0017538305,0.06736212,0.00007650881],"about_ca_topic_score_codex":0.55850923,"about_ca_topic_score_gemma":0.7019802,"teacher_disagreement_score":0.55850923,"about_ca_system_score_codex":0.0027071587,"about_ca_system_score_gemma":0.0021939373,"threshold_uncertainty_score":0.88818157},"labels":[],"label_agreement":null},{"id":"W4381436288","doi":"10.5194/bg-20-2283-2023","title":"Quantifying land carbon cycle feedbacks under negative CO <sub>2</sub> emissions","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Alliance de recherche numérique du Canada; Compute Canada","keywords":"Carbon cycle; Environmental science; Atmospheric carbon cycle; Greenhouse gas; Carbon fibers; Carbon dioxide; Atmospheric sciences; Carbon sink; Carbon dioxide in Earth's atmosphere; Climate change; Climatology; Chemistry; Ecosystem; Ecology; Geology; Materials science","score_opus":0.020657612090220746,"score_gpt":0.2511773183462658,"score_spread":0.23051970625604504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381436288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959805,0.00003089684,0.001655479,0.00012428696,0.000009905804,0.0000106027155,0.00043668647,0.00009030617,0.0016613943],"genre_scores_gemma":[0.9991934,0.000013512992,0.00051916175,0.0000143402085,0.0000021417513,0.0000054325787,0.00015062165,0.000009719166,0.00009166148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990535,0.000026783166,0.000004850718,0.000026550699,0.000015148256,0.000021329406],"domain_scores_gemma":[0.9996314,0.00017842936,0.00005888332,0.000044900342,0.0000441391,0.00004223866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030372475,0.0004847989,0.00036177193,0.00022676299,0.00028022166,0.00051816023,0.00060578954,0.00065262365,0.0013783914],"category_scores_gemma":[0.000945779,0.00019555887,0.00059602055,0.0003780307,0.0005295421,0.0006354701,0.00041209927,0.00068935595,0.000092719856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013039731,0.00007398033,0.019121462,0.00003542618,0.000067638844,0.00007399465,0.000024260002,0.97203326,0.0053038015,0.0012731715,0.00021848042,0.0016441555],"study_design_scores_gemma":[0.000040903167,0.0000625283,0.011839292,0.0000024857966,0.0000229749,0.000011448292,0.000029315761,0.9851242,0.0021002374,0.0005703608,0.00018314681,0.00001313044],"about_ca_topic_score_codex":0.032175884,"about_ca_topic_score_gemma":0.022939842,"teacher_disagreement_score":0.032175884,"about_ca_system_score_codex":0.0009027899,"about_ca_system_score_gemma":0.0006010566,"threshold_uncertainty_score":0.06397724},"labels":[],"label_agreement":null},{"id":"W4382248675","doi":"10.5194/bg-20-2425-2023","title":"Impact of deoxygenation and warming on global marine species in the 21st century","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission","keywords":"Habitat; Mesopelagic zone; Global warming; Effects of global warming on oceans; Pelagic zone; Ecology; Climate change; Environmental science; Oceanography; Biology; Geology","score_opus":0.021724126628851866,"score_gpt":0.2618211095948044,"score_spread":0.24009698296595255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382248675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99676055,0.00027031417,0.0010083517,0.00008636351,0.000009233787,0.0000031245972,0.0006754688,0.00002117317,0.0011654337],"genre_scores_gemma":[0.99888045,0.00018764082,0.0004188544,0.000024150506,0.0000072636576,0.0000037996995,0.00036917656,0.000004955974,0.00010373902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998061,0.000049546827,0.000014438694,0.00004496518,0.000048709036,0.000036277972],"domain_scores_gemma":[0.9993895,0.00011080994,0.00024953717,0.000070069276,0.00010431424,0.00007563625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000507631,0.00034503505,0.00020444528,0.00055520865,0.00022930854,0.00078909786,0.00023905215,0.00031988844,0.0010601514],"category_scores_gemma":[0.0015280697,0.0001134896,0.0005957036,0.0007720451,0.00035282387,0.00058622175,0.000998722,0.00028323696,0.000112058406],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009502052,0.000018316496,0.94854945,0.00006404924,0.00025122202,0.00009046581,0.00012638817,0.034653455,0.002901112,0.0009493498,0.00025626464,0.012044912],"study_design_scores_gemma":[0.000004902825,0.00009850274,0.9744452,0.000017241575,0.00007466358,0.000099367564,0.00018171432,0.021261744,0.0011992333,0.000945454,0.0016543794,0.000017531924],"about_ca_topic_score_codex":0.008107864,"about_ca_topic_score_gemma":0.00959587,"teacher_disagreement_score":0.008107864,"about_ca_system_score_codex":0.0005671394,"about_ca_system_score_gemma":0.00030657378,"threshold_uncertainty_score":0.016121328},"labels":[],"label_agreement":null},{"id":"W4384388194","doi":"10.5194/bg-20-2785-2023","title":"Burned area and carbon emissions across northwestern boreal North America from 2001–2019","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; University of Guelph; Canadian Forest Service; Wilfrid Laurier University","funders":"H2020 European Research Council; Pacific Northwest Research Station; National Science Foundation; Strategic Environmental Research and Development Program; Goddard Space Flight Center; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; U.S. Forest Service; European Commission; U.S. Department of Defense; Gordon and Betty Moore Foundation; U.S. Department of Agriculture; National Aeronautics and Space Administration","keywords":"Environmental science; Boreal; Taiga; Fire regime; Greenhouse gas; Carbon sink; Carbon sequestration; Climate change; Physical geography; Arctic; Atmospheric sciences; Ecosystem; Climatology; Forestry; Carbon dioxide; Geography; Ecology; Geology","score_opus":0.013094674495917665,"score_gpt":0.23886341546299034,"score_spread":0.22576874096707267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384388194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933687,0.00032487104,0.00023089198,0.000071931274,0.000013390078,0.000004620277,0.005304421,0.00003145887,0.00064969034],"genre_scores_gemma":[0.9949884,0.000148206,0.00032070163,0.000024429692,0.0000068602476,0.0000053678377,0.004131605,0.0000041118856,0.0003702789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998404,0.00001439975,0.000013281357,0.000054284214,0.000054510398,0.000023241115],"domain_scores_gemma":[0.9993612,0.0000625272,0.00018023099,0.00003067524,0.0002827196,0.0000826841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035287617,0.00027015418,0.0001343945,0.00062177697,0.00047410326,0.0005941276,0.00035956586,0.00021323696,0.00057725154],"category_scores_gemma":[0.00053254847,0.00013180297,0.00032552396,0.0008283566,0.00018444043,0.0003361124,0.00027500186,0.00027946234,0.00008368272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006309102,0.000027251659,0.9900883,0.000021371334,0.00008877665,0.00007218482,0.00008538707,0.003781742,0.0005293435,0.000063570216,0.00085782364,0.004321186],"study_design_scores_gemma":[0.0000019304096,0.000009283735,0.99464273,0.000010525329,0.000023363358,0.000041538977,0.00018591213,0.004034327,0.00019525537,0.00002304765,0.0008263514,0.000005757375],"about_ca_topic_score_codex":0.596632,"about_ca_topic_score_gemma":0.7636768,"teacher_disagreement_score":0.403368,"about_ca_system_score_codex":0.0024250618,"about_ca_system_score_gemma":0.0010777505,"threshold_uncertainty_score":0.811487},"labels":[],"label_agreement":null},{"id":"W4385223866","doi":"10.5194/bg-20-2971-2023","title":"Plant mercury accumulation and litter input to a Northern Sedge-dominated Peatland","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carex; Peat; Tussock; Cyperaceae; Soil water; Bog; Ecosystem; Botany; Agronomy; Environmental chemistry; Environmental science; Chemistry; Ecology; Biology; Poaceae","score_opus":0.03690545114391838,"score_gpt":0.2884594540423348,"score_spread":0.25155400289841645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385223866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998919,0.00001606914,0.000018209294,0.0000015576637,2.6144147e-7,6.2760165e-7,0.000023734678,0.0000017672033,0.000045935027],"genre_scores_gemma":[0.99961925,0.000029359808,0.00008626933,0.0000056497033,8.638458e-7,0.0000025267855,0.00009866088,0.00000121204,0.00015625871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995565,0.0000056563495,0.0000030329488,0.000019016645,0.000006374712,0.000010409275],"domain_scores_gemma":[0.99985886,0.000020958654,0.000044296117,0.0000068763097,0.00002212506,0.00004675708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000102269914,0.00030306846,0.00021399811,0.00044900307,0.00024000769,0.00031774468,0.0001449446,0.00015207102,0.0004527427],"category_scores_gemma":[0.00011337159,0.000120452154,0.00019343547,0.00015877953,0.0001838701,0.00021711922,0.00026264242,0.00015153675,0.000079175705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043592558,0.00009228078,0.589916,0.000072195544,0.00011447034,0.00042454424,0.00046321048,0.00044911593,0.40342534,0.000042263888,0.000049600723,0.0045151357],"study_design_scores_gemma":[0.000001640529,0.00005696953,0.9972735,0.0000015142319,0.000008383267,0.000057158588,0.000098732555,0.00037876167,0.0020336616,0.0000072919743,0.00008031793,0.0000020262446],"about_ca_topic_score_codex":0.011216011,"about_ca_topic_score_gemma":0.02903616,"teacher_disagreement_score":0.011216011,"about_ca_system_score_codex":0.00053399435,"about_ca_system_score_gemma":0.00021627167,"threshold_uncertainty_score":0.022301435},"labels":[],"label_agreement":null},{"id":"W4386097811","doi":"10.5194/bg-20-3523-2023","title":"Gross primary productivity and the predictability of CO <sub>2</sub> : more uncertainty in what we predict than how well we predict it","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"European Commission; Max-Planck-Gesellschaft; National Science Foundation","keywords":"Predictability; Environmental science; Primary production; Atmospheric sciences; Earth system science; Flux (metallurgy); Atmospheric research; Ecosystem; Ecology; Chemistry; Mathematics; Statistics; Physics; Biology","score_opus":0.009089145945638082,"score_gpt":0.2060952145200213,"score_spread":0.19700606857438321,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386097811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938309,0.00028430976,0.0031775313,0.00037698902,0.000018157298,0.000004526291,0.0006224289,0.00010902268,0.0015761845],"genre_scores_gemma":[0.9994056,0.000049631803,0.00022644753,0.000010720025,0.000007906404,0.000001307089,0.00023155972,0.000012906227,0.00005398977],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970895,0.00008327323,0.000023256109,0.00008573172,0.00006426853,0.000034532404],"domain_scores_gemma":[0.9979479,0.0010312813,0.00039165354,0.00023184398,0.00028693964,0.000110453046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012336364,0.0004760952,0.00031556172,0.00037452133,0.00023169105,0.0012141082,0.00026319592,0.00035059417,0.00083736476],"category_scores_gemma":[0.0037923078,0.00024153889,0.0006085775,0.0004513321,0.00055948563,0.0007527546,0.0005317955,0.0004928483,0.00020531911],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018614925,0.00004995868,0.7209175,0.00008462988,0.00051493716,0.00017345708,0.00006688438,0.25215375,0.0073848553,0.0019801317,0.0010207124,0.015466988],"study_design_scores_gemma":[0.000019755713,0.0000440094,0.609554,0.000017887418,0.000075599775,0.00005929278,0.00007605187,0.38116366,0.004082431,0.004024184,0.00085032877,0.000032816894],"about_ca_topic_score_codex":0.00961598,"about_ca_topic_score_gemma":0.006379546,"teacher_disagreement_score":0.00961598,"about_ca_system_score_codex":0.0005761646,"about_ca_system_score_gemma":0.00034978756,"threshold_uncertainty_score":0.019120038},"labels":[],"label_agreement":null},{"id":"W4387149324","doi":"10.5194/bg-20-3919-2023","title":"Estimating marine carbon uptake in the northeast Pacific using a neural network approach","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada; Esri (Canada); University of Victoria","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration","keywords":"Ocean gyre; Environmental science; Upwelling; Climatology; Carbon sink; Global wind patterns; Oceanography; Sea surface temperature; Sink (geography); Atmospheric sciences; Geology; Climate change; Geography; Subtropics","score_opus":0.01951816682218972,"score_gpt":0.22010100156124932,"score_spread":0.2005828347390596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387149324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9663073,0.0001760821,0.031148084,0.00011590444,0.00001469162,0.000020683721,0.00063768245,0.00022820293,0.0013514054],"genre_scores_gemma":[0.9891311,0.00004437725,0.009839423,0.000018667071,0.000007647759,0.000020189287,0.00052835664,0.0000072208177,0.00040303654],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998853,0.000026097196,0.000010000944,0.000043339624,0.000019638199,0.000015539967],"domain_scores_gemma":[0.9996755,0.0001470186,0.000054245145,0.000020338903,0.000085055704,0.00001788044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044104687,0.0006114026,0.00024312505,0.00084955397,0.0002642091,0.0005413443,0.00036887123,0.00043313036,0.00063751556],"category_scores_gemma":[0.0014574288,0.00025270277,0.00037614725,0.0007439914,0.00018147916,0.00047960636,0.00035330115,0.00038135189,0.00010872924],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012316958,0.00013190797,0.14088133,0.000031334057,0.00018950852,0.00008665202,0.000036277703,0.8210296,0.0024495532,0.00025924612,0.0004154623,0.03436593],"study_design_scores_gemma":[0.0000024289168,0.0000076145047,0.014984073,0.0000022120282,0.000006948952,0.0000045465204,0.000009543982,0.9845276,0.00026606815,0.00014144702,0.000044382556,0.0000032331689],"about_ca_topic_score_codex":0.06363636,"about_ca_topic_score_gemma":0.051036887,"teacher_disagreement_score":0.06363636,"about_ca_system_score_codex":0.0008627418,"about_ca_system_score_gemma":0.00059006864,"threshold_uncertainty_score":0.1265319},"labels":[],"label_agreement":null},{"id":"W4387354308","doi":"10.5194/bg-20-3997-2023","title":"Low cobalt inventories in the Amundsen and Ross seas driven by high demand for labile cobalt uptake among native phytoplankton communities","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"Office of Polar Programs","keywords":"Phytoplankton; Oceanography; Photic zone; Cadmium; Cobalt; Plankton; Bay; Trace metal; Environmental science; Environmental chemistry; Sediment; Deep sea; Chemistry; Metal; Geology; Nutrient; Inorganic chemistry","score_opus":0.01719887470009179,"score_gpt":0.22276777732541966,"score_spread":0.20556890262532787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387354308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992379,0.00009559467,0.000047430232,0.000016795948,0.0000036059266,0.0000014144625,0.00015463145,0.0000046817763,0.00043796867],"genre_scores_gemma":[0.998494,0.000106271276,0.00020044202,0.000020205774,0.0000049490277,0.0000050985404,0.0004989927,0.000007138169,0.0006629081],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986017,0.000012469658,0.00001539502,0.000053820317,0.000030517454,0.000027652193],"domain_scores_gemma":[0.9997551,0.000016801918,0.00008553567,0.000017893259,0.000070696566,0.000053927277],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018114464,0.00035960358,0.00028328015,0.0007044463,0.00044774183,0.00053641107,0.00020833433,0.00028751997,0.0004421972],"category_scores_gemma":[0.00031543057,0.00016896824,0.00026889195,0.00056366355,0.00027963132,0.0003446882,0.00069863076,0.0001942639,0.00020599013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026023397,0.000018799312,0.91877484,0.00007633213,0.00009699356,0.0004547577,0.0008367553,0.00033377027,0.069448605,0.00006502847,0.00022019123,0.009413727],"study_design_scores_gemma":[0.0000030641852,0.00006308619,0.99529004,0.000008609996,0.000018569837,0.00013554543,0.00068215333,0.00037306166,0.0025291985,0.000020202266,0.0008701786,0.000006332661],"about_ca_topic_score_codex":0.014290301,"about_ca_topic_score_gemma":0.039914805,"teacher_disagreement_score":0.014290301,"about_ca_system_score_codex":0.0004165304,"about_ca_system_score_gemma":0.00035831722,"threshold_uncertainty_score":0.02841425},"labels":[],"label_agreement":null},{"id":"W4388269659","doi":"10.5194/bg-20-4359-2023","title":"Conceptual models of dissolved carbon fluxes in a two-layer stratified lake: interannual typhoon responses under extreme climates","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan; Academia Sinica; Japan Society for the Promotion of Science; Genomics Research Center, Academia Sinica; National Science Council; Global Lake Ecological Observatory Network","keywords":"Typhoon; Environmental science; Dissolved organic carbon; Stratification (seeds); Water column; Oceanography; Ecosystem; Mixed layer; Lake ecosystem; Subtropics; Monsoon; Hydrology (agriculture); Atmospheric sciences; Climatology; Geology; Ecology","score_opus":0.06942814519003085,"score_gpt":0.2685059432586738,"score_spread":0.19907779806864292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388269659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89480555,0.00031513418,0.09615923,0.000984499,0.00005433369,0.0000758067,0.0008662671,0.00019526237,0.0065439455],"genre_scores_gemma":[0.9950046,0.00012613254,0.0034162204,0.00004875301,0.000012284045,0.000095887415,0.00019672661,0.00001564895,0.0010836575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998497,0.00004197563,0.000010333264,0.000048943475,0.000017145208,0.000031867876],"domain_scores_gemma":[0.99966586,0.000105128864,0.00007353555,0.000013929258,0.00008467255,0.000056810695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004952552,0.0007126765,0.0004472711,0.00053084973,0.0006187081,0.0012338338,0.0015929139,0.0011343084,0.001314185],"category_scores_gemma":[0.0011026274,0.000469046,0.00091626047,0.00060391135,0.00090044155,0.0015047408,0.0010144777,0.00056739006,0.00009256251],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003974176,0.000036566114,0.004525314,0.000027443908,0.00004302255,0.00008044534,0.000099865436,0.9825232,0.0020127627,0.009497644,0.00016225643,0.00095188495],"study_design_scores_gemma":[0.000016637705,0.000012970241,0.0010051291,0.0000018660936,0.000011732978,0.0000052991913,0.000038608563,0.9970048,0.000078609366,0.0016860651,0.0001297902,0.000008457058],"about_ca_topic_score_codex":0.05244277,"about_ca_topic_score_gemma":0.019603098,"teacher_disagreement_score":0.05244277,"about_ca_system_score_codex":0.0022059872,"about_ca_system_score_gemma":0.0017314762,"threshold_uncertainty_score":0.10427499},"labels":[],"label_agreement":null},{"id":"W4388803467","doi":"10.5194/bg-20-2941-2023","title":"Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université du Québec à Trois-Rivières; Center for Northern Studies; Wilfrid Laurier University; Nunavut Arctic College","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Environmental science; Carbon cycle; Arctic; Remote sensing; Atmospheric sciences; Global warming; Boreal; Vegetation (pathology); Climate change; Ecosystem; Ecology; Oceanography; Geography; Geology","score_opus":0.06538761843141569,"score_gpt":0.2920732003098697,"score_spread":0.22668558187845403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388803467","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00011413477,0.99667263,0.00016494683,0.00051567645,0.0012395488,0.0000053370086,0.00012371926,0.000014848625,0.0011492051],"genre_scores_gemma":[0.00081822526,0.99656063,0.0004146119,0.0003506043,0.0013983761,0.000010987782,0.00014143017,0.000008094051,0.00029707514],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927205,0.0001252087,0.00017547721,0.00018657767,0.00018892827,0.000051769803],"domain_scores_gemma":[0.9941782,0.0037158506,0.000721701,0.00016653525,0.001029846,0.00018780805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019124537,0.0015806652,0.0019564666,0.0068435282,0.00034766633,0.0025118375,0.0010395547,0.0011835442,0.010868863],"category_scores_gemma":[0.005805278,0.00044402597,0.0009460972,0.014078968,0.0007221476,0.0022577345,0.0011082735,0.0016590838,0.0034116344],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000111305606,0.000054578282,0.0004748706,0.084866814,0.00036197674,0.000132439,0.00025637486,0.00078559114,0.001999055,0.0048096315,0.092290714,0.8138566],"study_design_scores_gemma":[0.000009053878,0.00004059118,0.0023872775,0.014809491,0.00026138805,0.00020801491,0.00012061204,0.00009301849,0.00028141466,0.0014997657,0.98025507,0.000034354307],"about_ca_topic_score_codex":0.0028241072,"about_ca_topic_score_gemma":0.0036090482,"teacher_disagreement_score":0.010868863,"about_ca_system_score_codex":0.0011294472,"about_ca_system_score_gemma":0.0029612444,"threshold_uncertainty_score":0.036360025},"labels":[],"label_agreement":null},{"id":"W4389470470","doi":"10.5194/bg-20-4819-2023","title":"Reviews and syntheses: Greenhouse gas emissions from drained organic forest soils – synthesizing data for site-specific emission factors for boreal and cool temperate regions","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Haridus- ja Teadusministeerium; SNS Nordic Forest Research; Academy of Finland; Helsingin Yliopisto; Norges Forskningsråd; European Commission","keywords":"Temperate climate; Taiga; Environmental science; Boreal; Greenhouse gas; Soil water; Temperate forest; Temperate rainforest; Atmospheric sciences; Soil science; Forestry; Ecology; Geology; Ecosystem; Geography; Oceanography","score_opus":0.06716970892369525,"score_gpt":0.277902537258659,"score_spread":0.21073282833496373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389470470","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003182345,0.9368999,0.0026598251,0.0021325955,0.0028860357,0.0002168946,0.045228478,0.00024062413,0.0065533263],"genre_scores_gemma":[0.01675697,0.9505561,0.008642736,0.0018378543,0.0011526439,0.00062577805,0.018558016,0.00025765877,0.0016123113],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9963186,0.00079963566,0.0011275756,0.0005615577,0.0010178142,0.00017479096],"domain_scores_gemma":[0.9694355,0.018634375,0.0038587407,0.0013256526,0.0064312196,0.0003144777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005395788,0.0019460928,0.0023430856,0.025781797,0.00041773386,0.00257972,0.0009909435,0.0010754869,0.008765053],"category_scores_gemma":[0.02888803,0.00093048404,0.0023628192,0.03567494,0.00055945385,0.0021500662,0.0015284852,0.0012030344,0.0028539954],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020524525,0.000056561363,0.0036356256,0.51495004,0.00385917,0.00027120134,0.0008975034,0.0019369359,0.0036033497,0.006316641,0.124011405,0.34025636],"study_design_scores_gemma":[0.000043713968,0.000049514252,0.011983078,0.15032463,0.0050464235,0.00013446347,0.00048159278,0.00021114969,0.0023943607,0.0032368074,0.82601047,0.00008382079],"about_ca_topic_score_codex":0.01275457,"about_ca_topic_score_gemma":0.02128857,"teacher_disagreement_score":0.025781797,"about_ca_system_score_codex":0.0028892239,"about_ca_system_score_gemma":0.008862894,"threshold_uncertainty_score":0.029321969},"labels":[],"label_agreement":null},{"id":"W4389884242","doi":"10.5194/bg-20-4981-2023","title":"Influence of a small submarine canyon on biogenic matter export flux in the lower St. Lawrence Estuary, eastern Canada","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Université Laval; Geological Survey of Canada; Université du Québec à Rimouski; Dalhousie University; University of New Brunswick","funders":"Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Canyon; Oceanography; Submarine canyon; Estuary; Geology; Diatom; Sediment trap; Sediment; Submarine pipeline; Bloom; Continental shelf; Environmental science; Water column; Geomorphology","score_opus":0.02382703149749886,"score_gpt":0.2325332421007392,"score_spread":0.20870621060324035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389884242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992237,0.000033646003,0.000018648085,0.000020258141,0.0000011137781,0.0000034523728,0.00016858675,0.0000034917325,0.0005270542],"genre_scores_gemma":[0.999064,0.000036994104,0.00006995806,0.000014552764,9.859658e-7,0.0000035699732,0.00017793752,0.0000017589904,0.0006302204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998116,0.000015630376,0.00000775007,0.00004485651,0.0000570139,0.000063221705],"domain_scores_gemma":[0.99936074,0.000041897725,0.00011562686,0.000018437013,0.0002939461,0.00016938588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019765845,0.00024166834,0.0002086142,0.00052864966,0.0013004031,0.00081499154,0.00037251334,0.00019124958,0.0006952089],"category_scores_gemma":[0.00045928732,0.00018002164,0.00016359381,0.0007474063,0.0005203035,0.00016981621,0.0005035023,0.00020382303,0.0000895013],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008196583,0.000021745955,0.99199307,0.000013948476,0.000031396314,0.00016979019,0.00038378107,0.00027870177,0.0026281187,0.000044637974,0.0002777582,0.004075089],"study_design_scores_gemma":[0.0000019762913,0.000008833142,0.9990128,0.000004218638,0.0000060104526,0.000011427719,0.00036420315,0.00025915704,0.00009408477,0.0000030992549,0.00023232502,0.00000182896],"about_ca_topic_score_codex":0.95783997,"about_ca_topic_score_gemma":0.9906397,"teacher_disagreement_score":0.042160034,"about_ca_system_score_codex":0.0073320563,"about_ca_system_score_gemma":0.0068182596,"threshold_uncertainty_score":0.084816575},"labels":[],"label_agreement":null},{"id":"W4390036732","doi":"10.5194/bg-20-5087-2023","title":"Environmental controls of winter soil carbon dioxide fluxes in boreal and tundra environments","year":2023,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Trois-Rivières; Center for Northern Studies; Nunavut Arctic College","funders":"Fonds de recherche du Québec – Nature et technologies; Environment and Climate Change Canada; Université de Montréal; Natural Environment Research Council; Université de Sherbrooke; Fonds Québécois de la Recherche sur la Nature et les Technologies; Sight Research UK; Polar Knowledge Canada; Wilfrid Laurier University; Northumbria University; Natural Sciences and Engineering Research Council of Canada; Université du Québec à Trois-Rivières","keywords":"Tundra; Environmental science; Taiga; Soil water; Boreal; Atmospheric sciences; Shrub; Carbon dioxide; Ecosystem; Carbon cycle; Boreal ecosystem; Peat; Hydrology (agriculture); Soil science; Ecology; Geology","score_opus":0.01951064807210189,"score_gpt":0.21296761642691087,"score_spread":0.19345696835480897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390036732","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994653,0.000064249936,0.00018962771,0.000005789424,0.000001509124,0.0000011024953,0.000118299205,0.000010410653,0.00014382417],"genre_scores_gemma":[0.9997328,0.000018314591,0.00010688081,0.0000027926935,7.6829406e-7,0.0000012065528,0.00011878924,0.0000019991132,0.000016424141],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998419,0.000037374008,0.00001181492,0.000065358574,0.00001728721,0.000026282885],"domain_scores_gemma":[0.9998227,0.000049963834,0.000051485204,0.000013681699,0.000036533344,0.000025674724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044293044,0.00039529265,0.00022999651,0.00036502877,0.0003003691,0.00052639504,0.0001951247,0.00016813012,0.000214874],"category_scores_gemma":[0.00036616236,0.00012026989,0.0003912292,0.0003418266,0.00027363322,0.0002614225,0.00023314296,0.00012510372,0.000041849995],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004738726,0.00005792799,0.90980875,0.000072335024,0.00029759525,0.00015433975,0.00017008098,0.0301871,0.050497524,0.00021100229,0.00012378767,0.007945654],"study_design_scores_gemma":[0.0000063388734,0.00003423398,0.9784001,0.000003780954,0.00003103375,0.00004464272,0.000102673985,0.0194059,0.0017328773,0.000066973145,0.00016125872,0.000010064119],"about_ca_topic_score_codex":0.037724797,"about_ca_topic_score_gemma":0.03691897,"teacher_disagreement_score":0.037724797,"about_ca_system_score_codex":0.0005674101,"about_ca_system_score_gemma":0.00028881346,"threshold_uncertainty_score":0.07501042},"labels":[],"label_agreement":null},{"id":"W4390528188","doi":"10.5194/bg-21-13-2024","title":"Reviews and syntheses: expanding the global coverage of gross primary production and net community production measurements using Biogeochemical-Argo floats","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Ocean Frontier Institute; Canada First Research Excellence Fund; National Science Foundation","keywords":"Argo; Environmental science; Primary production; Biogeochemical cycle; Climatology; Meteorology; TRACER; Atmospheric sciences; Geology; Geography; Ecosystem; Chemistry","score_opus":0.07520884962590817,"score_gpt":0.26899802299611897,"score_spread":0.1937891733702108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390528188","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00045622382,0.98342043,0.0015002713,0.0020012558,0.002738287,0.000059364727,0.004552346,0.00016507116,0.0051066973],"genre_scores_gemma":[0.0033363665,0.9834284,0.0041029244,0.001693002,0.0018188177,0.00016778655,0.0039272867,0.00012385947,0.0014014902],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9977496,0.0004992752,0.000532216,0.00041208518,0.00068658433,0.00012027238],"domain_scores_gemma":[0.9816711,0.010977436,0.0024039315,0.00096488366,0.003563039,0.0004197181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044900253,0.0019153547,0.0026792916,0.019133167,0.0003297831,0.0034427831,0.0013037819,0.0013823609,0.012484778],"category_scores_gemma":[0.017452933,0.0007971571,0.0016116872,0.025543194,0.000813114,0.0031616117,0.001961923,0.00181549,0.0046327603],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015109112,0.000051382045,0.0011500837,0.17857695,0.0010367306,0.00017232928,0.00044116465,0.0010763179,0.0028712542,0.012604383,0.17977877,0.6220895],"study_design_scores_gemma":[0.000011992928,0.00002679249,0.002522897,0.030607983,0.00052350323,0.00009597349,0.00014392674,0.00012785688,0.00051245134,0.002328306,0.9630716,0.000026669613],"about_ca_topic_score_codex":0.0034715072,"about_ca_topic_score_gemma":0.004377028,"teacher_disagreement_score":0.019133167,"about_ca_system_score_codex":0.0017936272,"about_ca_system_score_gemma":0.006693539,"threshold_uncertainty_score":0.04176581},"labels":[],"label_agreement":null},{"id":"W4390571864","doi":"10.5194/bg-21-93-2024","title":"Temporary stratification promotes large greenhouse gas emissions in a shallow eutrophic lake","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Communitech","funders":"Horizon 2020; Poul Due Jensens Fond; European Commission; Danmarks Frie Forskningsfond; Poul Due Jensens Fond (Grundfos Foundation)","keywords":"Eutrophication; Greenhouse gas; Stratification (seeds); Environmental science; Oceanography; Ecology; Geology; Nutrient; Biology","score_opus":0.019663678671282804,"score_gpt":0.2278325198407991,"score_spread":0.2081688411695163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390571864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99980384,0.000011311343,0.00004746986,0.0000043288605,3.074337e-7,0.0000013485646,0.000020648788,0.0000033180686,0.00010743096],"genre_scores_gemma":[0.9998323,0.000009592132,0.000060389117,0.0000032991388,3.5455454e-7,0.000001939251,0.000029200848,8.0987013e-7,0.000062066654],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9999585,0.0000047390604,0.000003228037,0.000008722086,0.000010152157,0.000014705761],"domain_scores_gemma":[0.99992836,0.0000071495965,0.00002714826,0.0000029931246,0.000010585914,0.000023701003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007040121,0.00013040706,0.00017546026,0.00018168123,0.0004230794,0.00035588857,0.000073324096,0.00012414673,0.00040433405],"category_scores_gemma":[0.00013738123,0.00016604876,0.00013969441,0.00018741016,0.0002769452,0.00019143295,0.00047068507,0.000103632614,0.00005614806],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00059416355,0.00007415816,0.47341365,0.00006818556,0.000059084243,0.00034524177,0.0005734618,0.0011802585,0.5183893,0.00013339841,0.00011176424,0.0050574075],"study_design_scores_gemma":[0.0000041828994,0.00008940645,0.99438477,0.0000020287475,0.000010604705,0.00003588377,0.00019489948,0.0010163443,0.0040666573,0.0000443623,0.00014687589,0.0000040186555],"about_ca_topic_score_codex":0.009296107,"about_ca_topic_score_gemma":0.02269443,"teacher_disagreement_score":0.009296107,"about_ca_system_score_codex":0.00047067297,"about_ca_system_score_gemma":0.0003626122,"threshold_uncertainty_score":0.018483996},"labels":[],"label_agreement":null},{"id":"W4390935104","doi":"10.5194/bg-9-1301-2012","title":"Size distribution of particles and zooplankton across the shelf-basin system in southeast Beaufort Sea: combined results from an Underwater Vision Profiler and vertical net tows","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Centre National de la Recherche Scientifique; ArcticNet","keywords":"Beaufort sea; Zooplankton; Oceanography; Underwater; Geology; Beaufort scale; Environmental science; Structural basin; Sea ice; Geomorphology","score_opus":0.01633512096099267,"score_gpt":0.26330687609105907,"score_spread":0.24697175513006642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390935104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980094,0.00015409765,0.00015511029,0.00001119272,0.000003005919,0.000004463285,0.0012556202,0.00001440405,0.00039274088],"genre_scores_gemma":[0.9959772,0.00009093918,0.00059863407,0.00002129399,0.0000065718496,0.000009328411,0.002915102,0.000005533704,0.00037553723],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978465,0.000024836978,0.000015828198,0.00007257283,0.00006348813,0.00003860104],"domain_scores_gemma":[0.9994809,0.000052016912,0.0001760327,0.000033458746,0.00019175457,0.00006593513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038267623,0.00036171917,0.00027516944,0.0011865824,0.0003364657,0.000550534,0.0002832097,0.00025217782,0.0005406036],"category_scores_gemma":[0.0005559678,0.00020624087,0.0004403974,0.0012837132,0.00018050188,0.000431812,0.00048071676,0.0001283509,0.00017351701],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008426568,0.000012841099,0.98716915,0.000029136694,0.00010601872,0.00012589157,0.00042440507,0.00033152473,0.0025521899,0.000013015448,0.00034946183,0.008802037],"study_design_scores_gemma":[5.467985e-7,0.000007976144,0.999453,0.0000028202599,0.000005363399,0.000016911588,0.00009155572,0.0002591145,0.00005352528,0.0000015139952,0.00010608532,0.000001690771],"about_ca_topic_score_codex":0.21453919,"about_ca_topic_score_gemma":0.36021325,"teacher_disagreement_score":0.21453919,"about_ca_system_score_codex":0.0006175802,"about_ca_system_score_gemma":0.00037829496,"threshold_uncertainty_score":0.42658085},"labels":[],"label_agreement":null},{"id":"W4391009323","doi":"10.5194/bg-21-301-2024","title":"Uncertainty in the evolution of northwestern North Atlantic circulation leads to diverging biogeochemical projections","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada; Dalhousie University","funders":"","keywords":"Biogeochemical cycle; Biogeochemistry; Continental shelf; Ocean current; Oceanography; Environmental science; Climatology; Circulation (fluid dynamics); Climate change; General Circulation Model; Geology; Ecology","score_opus":0.013524030080118061,"score_gpt":0.22319120256853395,"score_spread":0.20966717248841588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391009323","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99736816,0.00003012395,0.0009410674,0.0002187514,0.000006734484,0.0000022260622,0.000121817255,0.000016472846,0.0012946307],"genre_scores_gemma":[0.99947447,0.000020001478,0.00030291663,0.000015791282,0.0000015685908,0.0000016421534,0.000090152746,0.000003475265,0.00009013228],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973863,0.00012849242,0.000014540303,0.000046003337,0.00003491256,0.000037391],"domain_scores_gemma":[0.99935466,0.00033049114,0.000083515435,0.00007218029,0.000100237165,0.000058946905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009103765,0.00028820362,0.00021303355,0.00027474947,0.00042628346,0.0012276418,0.0003291976,0.00053928606,0.0011685609],"category_scores_gemma":[0.0031328439,0.00022801699,0.0005515051,0.0002645315,0.0005137013,0.0005805265,0.000628701,0.00057388295,0.00007508958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023583676,0.000051080384,0.17038244,0.00002693596,0.00017158635,0.00042065312,0.00015315751,0.8122407,0.0040704953,0.005651711,0.00057966646,0.006015762],"study_design_scores_gemma":[0.000056765635,0.000082769904,0.09675471,0.000021168422,0.00007815883,0.00008369543,0.00034591302,0.8948931,0.0012187362,0.00565958,0.0007606017,0.000044749744],"about_ca_topic_score_codex":0.021619827,"about_ca_topic_score_gemma":0.021102441,"teacher_disagreement_score":0.021619827,"about_ca_system_score_codex":0.0012219627,"about_ca_system_score_gemma":0.0005980454,"threshold_uncertainty_score":0.042987943},"labels":[],"label_agreement":null},{"id":"W4391158094","doi":"10.5194/bg-21-411-2024","title":"Carbon cycle feedbacks in an idealized simulation and a scenario simulation of negative emissions in CMIP6 Earth system models","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Carbon cycle; Overshoot (microwave communication); Greenhouse gas; Earth system science; Positive feedback; Atmospheric sciences; Climate change; Climatology; Atmosphere (unit); Climate model; Carbon dioxide; Biosphere; Carbon dioxide in Earth's atmosphere; Biogeochemical cycle; Precipitation; Carbon fibers; Negative feedback; Ecosystem; Meteorology; Geology; Computer science; Ecology; Geography","score_opus":0.015266309741408395,"score_gpt":0.25775687658223045,"score_spread":0.24249056684082207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391158094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99517196,0.00008505898,0.0012594819,0.00028211717,0.000027069573,0.000020977355,0.0008793997,0.0000913389,0.0021826776],"genre_scores_gemma":[0.9979844,0.000043608597,0.0010402502,0.00006716975,0.0000108289305,0.00002925775,0.0005549035,0.00002221306,0.000247333],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996228,0.00017643117,0.000022393258,0.00006325656,0.000038192033,0.000076968216],"domain_scores_gemma":[0.99817455,0.0010076686,0.00019244406,0.00014514102,0.00025752033,0.00022278218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012216473,0.0008493836,0.0010098765,0.0007529692,0.0008149492,0.0011426356,0.0014698796,0.0023123424,0.0019168823],"category_scores_gemma":[0.003553789,0.0005183939,0.0012988762,0.0008512115,0.0011671458,0.0010450836,0.0007897414,0.0015092402,0.00016448225],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001060342,0.00009412816,0.0067747757,0.000020537638,0.000058527272,0.000069569505,0.000041161802,0.9908353,0.00040510375,0.0007748522,0.00032560877,0.0004943495],"study_design_scores_gemma":[0.000056287383,0.0000462204,0.0022861585,0.000005469154,0.000019828216,0.000007959872,0.000047405643,0.9968092,0.00015974752,0.00039171177,0.0001571328,0.000012934079],"about_ca_topic_score_codex":0.06724819,"about_ca_topic_score_gemma":0.03511317,"teacher_disagreement_score":0.06724819,"about_ca_system_score_codex":0.0015856798,"about_ca_system_score_gemma":0.001132555,"threshold_uncertainty_score":0.13371354},"labels":[],"label_agreement":null},{"id":"W4391191157","doi":"10.5194/bg-8-489-2011","title":"An evaluation of ocean color model estimates of marine primary productivity in coastal and pelagic regions across the globe","year":2011,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Remote Sensing and Land Use","field":"Earth and Planetary Sciences","cited_by":224,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Pelagic zone; Primary productivity; Productivity; Oceanography; Globe; Environmental science; Ocean color; Climatology; Geography; Geology; Ecosystem; Ecology; Biology; Engineering","score_opus":0.05410749945958798,"score_gpt":0.2684622775060228,"score_spread":0.21435477804643482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391191157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983163,0.00003521156,0.00097503344,0.00003466294,0.0000037258746,0.0000043462205,0.00020305546,0.00003857174,0.00038913137],"genre_scores_gemma":[0.99867874,0.00002404044,0.000792321,0.000009708631,0.0000014203034,0.0000033534252,0.00037876147,0.000006955108,0.00010462508],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977547,0.00007748597,0.000018774403,0.0000745653,0.000030493691,0.000023157396],"domain_scores_gemma":[0.99909973,0.00034985956,0.00013110528,0.00011612659,0.00024131114,0.00006188458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001370792,0.00051161303,0.00024926008,0.0004479121,0.00018667948,0.0007257516,0.00037035657,0.00038311552,0.0005203293],"category_scores_gemma":[0.0030289635,0.0002352975,0.0006011732,0.00033998128,0.00016448695,0.0006616436,0.0005427827,0.00021806589,0.00014892309],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027914465,0.00006992813,0.77297616,0.000026628584,0.0004971012,0.00008893472,0.00010370546,0.20821013,0.0034922995,0.00019709929,0.00032177736,0.013737086],"study_design_scores_gemma":[0.000073184696,0.0001760821,0.4207015,0.000019241874,0.00012016806,0.00006237513,0.00020869925,0.5736013,0.0040487587,0.0003143952,0.00065080303,0.000023472396],"about_ca_topic_score_codex":0.03805437,"about_ca_topic_score_gemma":0.026120456,"teacher_disagreement_score":0.03805437,"about_ca_system_score_codex":0.0008460552,"about_ca_system_score_gemma":0.00048446975,"threshold_uncertainty_score":0.07566577},"labels":[],"label_agreement":null},{"id":"W4391326404","doi":"10.5194/bg-9-3679-2012","title":"Carbon fluxes in the Canadian Arctic: patterns and drivers of bacterial abundance, production and respiration on the Beaufort Sea margin","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; European Space Agency; Agence Nationale de la Recherche; University of West Florida; National Science Foundation","keywords":"Beaufort sea; Abundance (ecology); Arctic; Environmental science; Beaufort scale; Oceanography; Margin (machine learning); Respiration; Fishery; The arctic; Ecology; Biology; Geology","score_opus":0.015722180979535046,"score_gpt":0.21040918901747446,"score_spread":0.19468700803793942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391326404","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973617,0.00035683182,0.0000810901,0.00010976314,0.0000050073995,0.000004378341,0.0010500606,0.000008470751,0.0010226729],"genre_scores_gemma":[0.9978927,0.00021547676,0.00024611384,0.00003546066,0.000004489161,0.0000043391015,0.0008505257,0.000005211497,0.0007456871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968946,0.000023424956,0.000008797462,0.00006486171,0.00010616923,0.000107285174],"domain_scores_gemma":[0.9992836,0.00004327106,0.00012764633,0.000017529565,0.0004044615,0.00012348003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038021477,0.00042085277,0.00031544894,0.0012434437,0.002080134,0.0009957406,0.00047287968,0.00034166407,0.0008437865],"category_scores_gemma":[0.000618317,0.0002874761,0.00040224378,0.0020550194,0.00052665174,0.00033427222,0.00056382315,0.00026827227,0.00013257262],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000289566,0.000021234262,0.98065346,0.000038961552,0.000092733026,0.00017708936,0.0011281003,0.0010279241,0.0067760455,0.00016314858,0.0008404984,0.008791186],"study_design_scores_gemma":[0.0000011471483,0.0000043448404,0.9988009,0.0000041536996,0.0000051344637,0.000012879735,0.0002647625,0.0002787314,0.00012845737,0.000005744725,0.00048802787,0.0000056137574],"about_ca_topic_score_codex":0.9889158,"about_ca_topic_score_gemma":0.99512994,"teacher_disagreement_score":0.012930085,"about_ca_system_score_codex":0.012930085,"about_ca_system_score_gemma":0.009181392,"threshold_uncertainty_score":0.09381479},"labels":[],"label_agreement":null},{"id":"W4391412814","doi":"10.5194/bg-21-625-2024","title":"Evaluation of five models for constructing forest NPP–age relationships in China based on 3121 field survey samples","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Sustainability and Ecological Systems Analysis","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"China; Field (mathematics); Field survey; Environmental science; Geography; Physical geography; Cartography; Mathematics; Archaeology","score_opus":0.10560254432414791,"score_gpt":0.3058714930774334,"score_spread":0.2002689487532855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391412814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96947753,0.00017372068,0.028509721,0.000080002515,0.0000122961,0.000098178396,0.00057992997,0.0002688225,0.0007998246],"genre_scores_gemma":[0.9864709,0.00008830446,0.011914774,0.000020155776,0.000004506064,0.00010430521,0.0009938924,0.00002455351,0.00037861997],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9994135,0.00020726658,0.000043024913,0.00018126781,0.00007708342,0.000077895274],"domain_scores_gemma":[0.9974896,0.0014675736,0.00018292546,0.00014222278,0.00061235816,0.00010538311],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040551797,0.0012478912,0.00071599387,0.0019926708,0.0006169966,0.00096041424,0.0013249726,0.00091857516,0.0011268691],"category_scores_gemma":[0.0055628275,0.00047964507,0.0014939941,0.0012085537,0.0003554066,0.0012532914,0.00060613634,0.0005963612,0.00018253013],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015015139,0.00016511991,0.11509746,0.00010676653,0.00014643134,0.00011255883,0.00012269581,0.8510775,0.00073470344,0.0007476888,0.0005064414,0.031032497],"study_design_scores_gemma":[0.000009941843,0.000030618914,0.011946653,0.000006592913,0.000022840337,0.0000091465645,0.000040576044,0.9873913,0.00023094777,0.00020842138,0.00009373338,0.000009236024],"about_ca_topic_score_codex":0.10775248,"about_ca_topic_score_gemma":0.059910383,"teacher_disagreement_score":0.10775248,"about_ca_system_score_codex":0.0028405709,"about_ca_system_score_gemma":0.002207289,"threshold_uncertainty_score":0.21425056},"labels":[],"label_agreement":null},{"id":"W4391630886","doi":"10.5194/bg-21-689-2024","title":"Latitudinal distribution of biomarkers across the western Arctic Ocean and the Bering Sea: an approach to assess sympagic and pelagic algal production","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Centre National de la Recherche Scientifique; National Natural Science Foundation of China; Indian Council of Agricultural Research","keywords":"Pelagic zone; Sea ice; Oceanography; Arctic; Arctic sea ice decline; Arctic ice pack; Geology; Canada Basin; Polar front; Environmental science; Antarctic sea ice","score_opus":0.023825639683539915,"score_gpt":0.25112911445156144,"score_spread":0.22730347476802154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391630886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986064,0.0002662117,0.0001953957,0.0000040348127,0.0000032780808,0.000005285781,0.0005069547,0.000005081599,0.0004073899],"genre_scores_gemma":[0.99738055,0.0002075142,0.00089725846,0.000013970528,0.0000039277443,0.000019778296,0.0008942523,0.0000033315644,0.0005793794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999923,0.0000096325875,0.0000093559765,0.000028956567,0.000015089911,0.000013984732],"domain_scores_gemma":[0.9997552,0.000012779691,0.00011575603,0.000010202334,0.000062263796,0.000043918066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021823935,0.00036020248,0.00016994255,0.00089242595,0.00029932626,0.00036600447,0.00008305008,0.00012822369,0.0004418698],"category_scores_gemma":[0.0001414239,0.00013511846,0.0001621319,0.0009892428,0.000100661186,0.00015314856,0.00020512207,0.00012395333,0.000116760464],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009162941,0.0000128241745,0.96930057,0.000027847618,0.00005130996,0.000042504154,0.00017034251,0.00008826876,0.0266538,0.000013262993,0.00004227043,0.0035054013],"study_design_scores_gemma":[4.59706e-7,0.000021125545,0.9989453,0.0000017742533,0.000009175096,0.000021449918,0.00010992064,0.00006544747,0.0006893674,0.000002529565,0.00013259429,9.055779e-7],"about_ca_topic_score_codex":0.011943,"about_ca_topic_score_gemma":0.03534316,"teacher_disagreement_score":0.011943,"about_ca_system_score_codex":0.00020385414,"about_ca_system_score_gemma":0.00021862904,"threshold_uncertainty_score":0.023746967},"labels":[],"label_agreement":null},{"id":"W4391840918","doi":"10.5194/bg-21-825-2024","title":"Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Wilfrid Laurier University; University of Waterloo; Environment and Climate Change Canada; Université de Montréal","funders":"Natural Environment Research Council; Sight Research UK; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Northumbria University","keywords":"Tundra; Environmental science; Snow; Ecosystem; Snow cover; Arctic; Cover (algebra); Physical geography; Oceanography; Climatology; Ecology; Geography; Meteorology; Geology; Biology","score_opus":0.04924755727919347,"score_gpt":0.26336165735433265,"score_spread":0.21411410007513917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391840918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99772674,0.00003426096,0.000494853,0.000040739393,0.000012086666,0.000013561272,0.0005936304,0.00012088552,0.0009631779],"genre_scores_gemma":[0.99812764,0.000021456653,0.00086543214,0.000023845105,0.000003504761,0.000014073228,0.0006200958,0.000015863523,0.00030820374],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981064,0.00006389975,0.0000097507655,0.00004362291,0.000022912518,0.000049249647],"domain_scores_gemma":[0.99959546,0.00014904156,0.000030854735,0.000037982132,0.0001020429,0.0000846611],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000688039,0.00073186844,0.00053700374,0.0003226093,0.00077910913,0.000839998,0.0010625771,0.0010584848,0.0012874705],"category_scores_gemma":[0.000854732,0.0004092927,0.0010009349,0.00047744042,0.00042906302,0.0004056449,0.0003905011,0.00061081996,0.00018140356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032530152,0.00019244642,0.042549483,0.000039367285,0.0001773268,0.00017989268,0.000068957976,0.9510033,0.0024934704,0.00022557918,0.0003653245,0.00237953],"study_design_scores_gemma":[0.00013149303,0.00016703653,0.0227712,0.0000088529,0.000051527306,0.000024291194,0.00008260175,0.97486967,0.0013668118,0.000102854756,0.00040346396,0.000020261281],"about_ca_topic_score_codex":0.18823709,"about_ca_topic_score_gemma":0.15421768,"teacher_disagreement_score":0.18823709,"about_ca_system_score_codex":0.0019726022,"about_ca_system_score_gemma":0.0014408627,"threshold_uncertainty_score":0.37428284},"labels":[],"label_agreement":null},{"id":"W4392552606","doi":"10.5194/bg-21-1117-2024","title":"Linking northeastern North Pacific oxygen changes to upstream surface outcrop variations","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fisheries and Oceans Canada; Directorate for Geosciences; National Science Foundation","keywords":"Thermocline; Oceanography; Outcrop; Mixed layer; Geology; Ocean gyre; Sea surface temperature; Pacific decadal oscillation; Climatology; Ocean current; Upwelling; Environmental science; Geomorphology","score_opus":0.016278942712561792,"score_gpt":0.2166117025011944,"score_spread":0.20033275978863263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392552606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99898094,0.000032698586,0.000072062045,0.000013540612,0.0000019033297,0.000001188746,0.00042337988,0.000006422807,0.0004679033],"genre_scores_gemma":[0.99887556,0.000050397997,0.00007686463,0.0000050175877,0.0000025202626,0.0000019133106,0.00068637426,0.000002112964,0.00029926238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999615,0.0000035718613,0.0000028506763,0.000016296433,0.000008191479,0.0000075778444],"domain_scores_gemma":[0.999726,0.000038624254,0.00011340419,0.000023563814,0.00006205219,0.000036219066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008699407,0.00013888118,0.00009076898,0.0003786534,0.00013534205,0.00031774226,0.00011838777,0.00009865269,0.0011957969],"category_scores_gemma":[0.00046056902,0.00007957309,0.00012355176,0.00043468914,0.000112795446,0.00018712018,0.0002669379,0.00017985197,0.00012089724],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027803208,0.000011665618,0.993163,0.000010180884,0.000032639407,0.00004784372,0.00010707869,0.00045940222,0.0019864743,0.000028790635,0.00015775418,0.003967447],"study_design_scores_gemma":[3.3677816e-7,0.0000024779156,0.9994772,0.0000017572123,0.0000024413189,0.0000069861458,0.000038288646,0.0002703186,0.00009478818,0.000005903827,0.00009904948,5.1413986e-7],"about_ca_topic_score_codex":0.037080362,"about_ca_topic_score_gemma":0.06475008,"teacher_disagreement_score":0.037080362,"about_ca_system_score_codex":0.00021354521,"about_ca_system_score_gemma":0.00013936179,"threshold_uncertainty_score":0.07372904},"labels":[],"label_agreement":null},{"id":"W4392711156","doi":"10.5194/bg-21-1173-2024","title":"Peatland evaporation across hemispheres: contrasting controls and sensitivity to climate warming driven by plant functional types","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Carleton University; Trent University","funders":"University of Waikato; Natural Sciences and Engineering Research Council of Canada; Manaaki Whenua","keywords":"Peat; Eddy covariance; Environmental science; Bog; Sensible heat; Atmospheric sciences; Shrub; Bowen ratio; Ecology; Geology; Ecosystem; Biology","score_opus":0.011592768201364633,"score_gpt":0.24149000900794984,"score_spread":0.22989724080658522,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392711156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965143,0.00004529192,0.00003268648,0.0000044609656,0.0000010476964,0.0000013676231,0.00011178066,0.0000026813173,0.00014928606],"genre_scores_gemma":[0.9996482,0.000018512888,0.000030425617,0.000005361904,0.0000017780503,0.00000270171,0.00020893927,0.0000028528232,0.000081101396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986327,0.000023010756,0.000009145866,0.000047991114,0.000018257162,0.00003832704],"domain_scores_gemma":[0.9996074,0.000086718435,0.00012050805,0.0000270274,0.00006772064,0.00009070938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027406245,0.00018165956,0.00032091784,0.00058894296,0.00024470853,0.00049645145,0.0001538652,0.00017556001,0.0007451742],"category_scores_gemma":[0.0004901448,0.00015367665,0.0002175073,0.00040664015,0.00035055072,0.00029295555,0.0003532621,0.00014800759,0.00008948986],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008110664,0.00006233883,0.92987245,0.000042495867,0.00019637433,0.00014413879,0.0006531917,0.00026316234,0.06287238,0.00006679216,0.00013564366,0.0048798993],"study_design_scores_gemma":[7.319414e-7,0.0000050029844,0.9997693,5.1837907e-7,0.0000029426826,0.000007393798,0.000043486565,0.0000480872,0.000095251904,0.000004378133,0.000022011747,8.76977e-7],"about_ca_topic_score_codex":0.028196577,"about_ca_topic_score_gemma":0.055510752,"teacher_disagreement_score":0.028196577,"about_ca_system_score_codex":0.00035791763,"about_ca_system_score_gemma":0.00021097015,"threshold_uncertainty_score":0.056064904},"labels":[],"label_agreement":null},{"id":"W4392779768","doi":"10.5194/bg-21-1235-2024","title":"Unusual <i>Hemiaulus</i> bloom influences ocean productivity in Northeastern US Shelf waters","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Tula Foundation","funders":"Woods Hole Oceanographic Institution; Wellesley College; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Oceanography; Bloom; Productivity; Environmental science; Continental shelf; Geology; Economics","score_opus":0.009836422794379455,"score_gpt":0.2033107992766003,"score_spread":0.19347437648222085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392779768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938464,0.000049186852,0.000022203576,0.00003753003,0.000003390557,0.0000015328417,0.00026865187,0.0000021490653,0.00023071944],"genre_scores_gemma":[0.99946994,0.000039319973,0.000039996346,0.000035604273,0.0000042215142,0.0000022295858,0.00028254522,0.0000014294382,0.00012477548],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999237,0.000014391093,0.000009263911,0.000022873233,0.000013564459,0.000016151049],"domain_scores_gemma":[0.99962807,0.000043010845,0.0001767408,0.000016656302,0.000063711086,0.00007174989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019756782,0.00017289339,0.00011568237,0.00033695632,0.00028613,0.00040994832,0.00014368916,0.00015883025,0.00083971233],"category_scores_gemma":[0.0005235788,0.000089700545,0.0002681899,0.00044612394,0.00014923241,0.00027836038,0.00032730834,0.00017260233,0.00007504577],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018713356,0.0000063959574,0.9982899,0.0000041400726,0.000026367266,0.00003238321,0.000040100662,0.00004147212,0.0006713878,0.000007900266,0.00009344407,0.0007679143],"study_design_scores_gemma":[2.8049436e-7,0.000003082087,0.99974424,0.0000012614335,0.0000044973785,0.0000069527014,0.000053752887,0.00009638736,0.0000343986,0.000004420485,0.00005014192,5.698863e-7],"about_ca_topic_score_codex":0.07633037,"about_ca_topic_score_gemma":0.17679565,"teacher_disagreement_score":0.07633037,"about_ca_system_score_codex":0.0005614541,"about_ca_system_score_gemma":0.0005062263,"threshold_uncertainty_score":0.15177214},"labels":[],"label_agreement":null},{"id":"W4392919068","doi":"10.5194/bg-21-1323-2024","title":"Variability and drivers of carbonate chemistry at shellfish aquaculture sites in the Salish Sea, British Columbia","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada; Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Diel vertical migration; Shellfish; Ocean acidification; Phytoplankton; Alkalinity; Oceanography; Environmental science; Aquaculture; Seawater; Carbonate; Water column; Total inorganic carbon; Dissolved organic carbon; Environmental chemistry; Fishery; Chemistry; Ecology; Nutrient; Aquatic animal; Carbon dioxide; Geology; Fish <Actinopterygii>; Biology","score_opus":0.0074171235616887505,"score_gpt":0.19779775387395446,"score_spread":0.1903806303122657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392919068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976821,0.00008887922,0.000069480775,0.000054852335,0.000003510698,0.000010008748,0.0012011288,0.000007240967,0.00088266685],"genre_scores_gemma":[0.9977088,0.00008919927,0.00012037257,0.000029240047,0.000001295859,0.000012512285,0.0010841154,0.0000040146883,0.00095041044],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996927,0.000020629506,0.000020220812,0.00009192803,0.000085051644,0.000089462934],"domain_scores_gemma":[0.99879116,0.000068586996,0.0002212038,0.00004573941,0.0006172348,0.00025614272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026589114,0.00023205073,0.0002130437,0.001039989,0.0013457463,0.00075010775,0.0006116958,0.00021038218,0.0013997143],"category_scores_gemma":[0.00092418835,0.00023662692,0.00020405055,0.0020871628,0.0005400574,0.00027798009,0.00070838927,0.00034291437,0.00018925218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026181544,0.000011526434,0.9944283,0.00001639723,0.000027563465,0.00007200904,0.0005631294,0.00009733674,0.0010180156,0.000030629446,0.00035997102,0.0033489806],"study_design_scores_gemma":[6.411982e-7,0.0000027647548,0.99898833,0.0000054208035,0.000002878882,0.000009658882,0.0006502319,0.000079388585,0.000032158467,0.000004416359,0.0002216872,0.0000023359253],"about_ca_topic_score_codex":0.96174353,"about_ca_topic_score_gemma":0.9892504,"teacher_disagreement_score":0.038256466,"about_ca_system_score_codex":0.007638382,"about_ca_system_score_gemma":0.005876376,"threshold_uncertainty_score":0.076963484},"labels":[],"label_agreement":null},{"id":"W4392932145","doi":"10.5194/bg-21-1301-2024","title":"Resolving heterogeneous fluxes from tundra halves the growing season carbon budget","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Office of Polar Programs; Gordon and Betty Moore Foundation; National Aeronautics and Space Administration","keywords":"Eddy covariance; Environmental science; Tundra; Atmospheric sciences; Ecosystem; Land cover; Evapotranspiration; Hydrology (agriculture); Land use; Ecology; Geology","score_opus":0.029011763977519218,"score_gpt":0.23902874194986098,"score_spread":0.21001697797234176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392932145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99496716,0.00007637499,0.0038599097,0.000022247574,0.0000053590175,0.000006191913,0.00044157516,0.00018091593,0.00044025632],"genre_scores_gemma":[0.99518293,0.000031723488,0.004066575,0.000011589841,0.0000036080528,0.000006747606,0.0006205214,0.00002555163,0.000050796345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998235,0.00004111308,0.000013760957,0.000071452785,0.000026391259,0.000023855433],"domain_scores_gemma":[0.9995332,0.00017272128,0.00005841901,0.000096456744,0.0001015405,0.00003777964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000679361,0.00061316235,0.0004874771,0.0007936451,0.0005279759,0.0007244097,0.00048607765,0.0005097847,0.000508668],"category_scores_gemma":[0.0012193455,0.0003840727,0.000722226,0.0011443077,0.0003104974,0.00054310897,0.00032956214,0.00032194259,0.00009620437],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004685685,0.00017483355,0.4957985,0.00010852453,0.00060113624,0.00026031755,0.00035538207,0.44385713,0.026722774,0.00075357466,0.0004798043,0.030419454],"study_design_scores_gemma":[0.000047041347,0.000040428185,0.25667027,0.000027687984,0.000107310574,0.000054451324,0.00019468904,0.73421204,0.0070729787,0.0008374019,0.00070156134,0.000034123907],"about_ca_topic_score_codex":0.07914173,"about_ca_topic_score_gemma":0.105233096,"teacher_disagreement_score":0.07914173,"about_ca_system_score_codex":0.0008544592,"about_ca_system_score_gemma":0.000675857,"threshold_uncertainty_score":0.15736216},"labels":[],"label_agreement":null},{"id":"W4393178859","doi":"10.5194/bg-21-1549-2024","title":"Thermal stratification and meromixis in four dilute temperate zone lakes","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Thermal stratification; Temperate climate; Stratification (seeds); Oceanography; Environmental science; Limnology; Geology; Ecology; Thermocline; Biology","score_opus":0.028082300636795118,"score_gpt":0.25553879054875456,"score_spread":0.22745648991195944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393178859","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965656,0.000034203866,0.000029091963,0.0000064320384,5.565543e-7,0.00000318946,0.000056057994,0.0000019203846,0.00021188997],"genre_scores_gemma":[0.999624,0.000024649959,0.000095789976,0.0000093387125,0.000001271344,0.000006844263,0.00012118297,8.550398e-7,0.00011600651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999211,0.0000107312635,0.0000071798404,0.000029086648,0.000016129887,0.000015849557],"domain_scores_gemma":[0.99982387,0.000017961513,0.00006381004,0.0000076195247,0.00005072139,0.00003608411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016176206,0.0001991347,0.00015810737,0.0005044179,0.0007150157,0.00058612425,0.00017275265,0.00014909587,0.0004181291],"category_scores_gemma":[0.00026412326,0.00017008068,0.00013621832,0.0004889915,0.000385518,0.0002334426,0.00051293,0.000096786745,0.000056883768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014107268,0.000029238816,0.98136234,0.000020611411,0.000027626316,0.0000801458,0.0014526232,0.00009710683,0.013845769,0.000033599506,0.000060200713,0.0028495076],"study_design_scores_gemma":[0.0000029120395,0.000021019538,0.9989768,0.0000017936637,0.00000708768,0.000023665221,0.0003518026,0.00015286857,0.00030070345,0.000007726486,0.00015179005,0.0000017977771],"about_ca_topic_score_codex":0.04558522,"about_ca_topic_score_gemma":0.14524145,"teacher_disagreement_score":0.04558522,"about_ca_system_score_codex":0.0008874096,"about_ca_system_score_gemma":0.00041923425,"threshold_uncertainty_score":0.09063977},"labels":[],"label_agreement":null},{"id":"W4394606080","doi":"10.5194/bg-21-1773-2024","title":"Comment on “The Volyn biota (Ukraine) – indications of 1.5 Gyr old eukaryotes in 3D preservation, a spotlight on the `boring billion' ” by Franz et al. (2023)","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Biota; Precambrian; Proterozoic; Geology; Paleontology; Extant taxon; Biodiversity; Ecology; Biology; Evolutionary biology","score_opus":0.03236170492793036,"score_gpt":0.2676341560336167,"score_spread":0.23527245110568631,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394606080","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012915734,0.0039097015,0.00046251458,0.8278982,0.16333759,0.0000354429,0.00067130034,0.00032283887,0.0020708726],"genre_scores_gemma":[0.0061283372,0.0019051884,0.00044138252,0.91362494,0.0713983,0.00005792821,0.0001677779,0.00008759137,0.006188578],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863154,0.00021676102,0.0002396515,0.00033700018,0.00040588618,0.00016925501],"domain_scores_gemma":[0.9912384,0.0043389024,0.00064288586,0.00048773887,0.0023421831,0.0009498144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023517602,0.0010498991,0.0011586959,0.00092052016,0.0021454091,0.0016012685,0.0023881781,0.02457592,0.0071920175],"category_scores_gemma":[0.014761143,0.00058986456,0.0010700934,0.00055096415,0.003298772,0.0032670766,0.0016275909,0.020806676,0.008015546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000064458916,0.000014161554,0.00048611456,0.00009809501,0.000011876138,0.00042942088,0.00017627928,0.00005137265,0.00038454786,0.00074389996,0.99365187,0.0038878263],"study_design_scores_gemma":[0.00004188411,0.00007664513,0.0039021543,0.0002667283,0.000022263817,0.0014115102,0.0005492727,0.00016030928,0.00078099483,0.0033290333,0.98939043,0.00006870293],"about_ca_topic_score_codex":0.010129054,"about_ca_topic_score_gemma":0.0085949395,"teacher_disagreement_score":0.02457592,"about_ca_system_score_codex":0.0016704807,"about_ca_system_score_gemma":0.0018660014,"threshold_uncertainty_score":0.024059713},"labels":[],"label_agreement":null},{"id":"W4394717280","doi":"10.5194/bg-21-1801-2024","title":"Inclusion of bedrock vadose zone in dynamic global vegetation models is key for simulating vegetation structure and function","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Vadose zone; Bedrock; Vegetation (pathology); Geology; Key (lock); Hydrology (agriculture); Environmental science; Soil science; Geomorphology; Ecology; Geotechnical engineering; Soil water","score_opus":0.0077440061130979706,"score_gpt":0.23292610554457605,"score_spread":0.22518209943147807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394717280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.77669126,0.0004114542,0.20315053,0.0006907589,0.00016298032,0.000082981904,0.0039814417,0.0013960821,0.013432497],"genre_scores_gemma":[0.98519135,0.00012716885,0.012595537,0.00007481784,0.000019837313,0.000047612706,0.0008083939,0.00009549292,0.0010398689],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991643,0.000024479103,0.0000052616833,0.000024373925,0.000014789781,0.000014674854],"domain_scores_gemma":[0.9997992,0.000070757495,0.0000332116,0.000031599317,0.000038268263,0.000027003005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027291075,0.00040754318,0.0003528671,0.00029830865,0.00033341892,0.00070058357,0.0008911582,0.0005509599,0.001212463],"category_scores_gemma":[0.0009738169,0.00032394475,0.00041497702,0.0004369654,0.00032522553,0.0008940567,0.00043649602,0.000624653,0.00022359921],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001124735,0.000021778598,0.0077706254,0.000011184285,0.00002758213,0.000022053691,0.000019541749,0.9847877,0.0006547252,0.002054669,0.0006267429,0.003992136],"study_design_scores_gemma":[0.0000066866764,0.000006058252,0.0014485869,0.0000038280327,0.0000060258453,0.000006149255,0.000011935806,0.9968924,0.00011784162,0.0007591568,0.0007371707,0.0000041558055],"about_ca_topic_score_codex":0.032596916,"about_ca_topic_score_gemma":0.03703309,"teacher_disagreement_score":0.032596916,"about_ca_system_score_codex":0.0007192118,"about_ca_system_score_gemma":0.0009003089,"threshold_uncertainty_score":0.06481439},"labels":[],"label_agreement":null},{"id":"W4396238280","doi":"10.5194/bg-21-2133-2024","title":"Regional effects and local climate jointly shape the global distribution of sexual systems in woody flowering plants","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant and animal studies","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Fundamental Research Funds for the Central Universities; East China Normal University; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Distribution (mathematics); Environmental science; Woody plant; Geography; Ecology; Physical geography; Biology; Mathematics","score_opus":0.03152116699298944,"score_gpt":0.2279544760768306,"score_spread":0.19643330908384116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396238280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890673,0.00012573622,0.0005552667,0.000010167927,6.602224e-7,0.0000012189306,0.000096234544,0.0000053320477,0.00029859462],"genre_scores_gemma":[0.9997478,0.000024223675,0.00013321829,0.0000034705415,7.0232227e-7,9.016948e-7,0.000057770085,0.0000025618442,0.000029321105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997445,0.00010760627,0.000014502236,0.00008412222,0.000021823422,0.000027390615],"domain_scores_gemma":[0.9989845,0.00041507528,0.00031153677,0.00012033284,0.0000919055,0.00007656586],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006983684,0.00014242301,0.00020864441,0.0005885235,0.00018535454,0.00041573052,0.00014845507,0.00010281103,0.0010486391],"category_scores_gemma":[0.0011573777,0.00010354746,0.00026309982,0.00056965154,0.0004593552,0.0003505873,0.0004474971,0.0002035199,0.00009473631],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007330359,0.000010650805,0.972854,0.000038101138,0.00017773839,0.000056142686,0.00030296462,0.0012711799,0.018458903,0.00021509238,0.00005185783,0.0064900294],"study_design_scores_gemma":[0.0000010170273,0.000009535442,0.9987777,0.0000024309663,0.000017222035,0.000035560483,0.00012080091,0.0006185104,0.00022663268,0.00010065553,0.000087068904,0.0000028224827],"about_ca_topic_score_codex":0.0021937275,"about_ca_topic_score_gemma":0.006962563,"teacher_disagreement_score":0.0021937275,"about_ca_system_score_codex":0.00015059872,"about_ca_system_score_gemma":0.000115471434,"threshold_uncertainty_score":0.004361987},"labels":[],"label_agreement":null},{"id":"W4400356178","doi":"10.5194/bg-21-3121-2024","title":"Short-term response of <i>Emiliania huxleyi</i> growth and morphology to abrupt salinity stress","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Senckenberg Biodiversität und Klima Forschungszentrum; Goethe-Universität Frankfurt am Main; Hessisches Ministerium für Wissenschaft und Kunst; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst","keywords":"Emiliania huxleyi; Coccolith; Coccolithophore; Salinity; Oceanography; Biology; Geology; Phytoplankton; Carbonate; Ecology; Chemistry; Nutrient","score_opus":0.015492866217994174,"score_gpt":0.2354928847084585,"score_spread":0.22000001849046433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400356178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991872,0.00007786932,0.00008772266,0.000015472882,0.0000035416922,0.0000069482307,0.00026639167,0.0000067933947,0.00034806138],"genre_scores_gemma":[0.9979966,0.000064581225,0.0002708317,0.00004345436,0.000004718364,0.000019798817,0.000804773,0.0000040706036,0.00079098926],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998864,0.000009524448,0.0000092509235,0.000044686425,0.000021075084,0.000029009709],"domain_scores_gemma":[0.9998055,0.000026985232,0.00007231285,0.000018648447,0.000030085146,0.000046487017],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011251334,0.00027966383,0.00037761687,0.00024831956,0.00019508546,0.00039716862,0.00025494443,0.0002733198,0.0008580573],"category_scores_gemma":[0.00019074476,0.00016482873,0.00025484574,0.00021747973,0.00021003523,0.00032261177,0.00058165606,0.00057591475,0.00018641568],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00034907798,0.000056724202,0.019097725,0.000036109264,0.000018524794,0.00008654787,0.00009415815,0.000098439574,0.97768867,0.000019713316,0.00006875237,0.0023855628],"study_design_scores_gemma":[0.000008420351,0.0005101742,0.9289374,0.000006359919,0.000016731901,0.00010951903,0.00028890054,0.0006301916,0.06877613,0.000020490012,0.0006841481,0.000011642824],"about_ca_topic_score_codex":0.0023332392,"about_ca_topic_score_gemma":0.002488515,"teacher_disagreement_score":0.0023332392,"about_ca_system_score_codex":0.0003493307,"about_ca_system_score_gemma":0.000116561794,"threshold_uncertainty_score":0.004639268},"labels":[],"label_agreement":null},{"id":"W4400953672","doi":"10.5194/bg-21-3401-2024","title":"Linking geomorphological processes and wildlife microhabitat selection: nesting birds select refuges generated by permafrost degradation in the Arctic","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Trois-Rivières; Université de Montréal; Université du Québec à Montréal; Natural Sciences and Engineering Research Council of Canada; Center for Northern Studies; Université du Québec à Rimouski","funders":"","keywords":"Permafrost; Wildlife; Arctic; Nesting (process); Selection (genetic algorithm); Environmental science; Ecology; Degradation (telecommunications); Geography; Physical geography; Biology","score_opus":0.037520835892149156,"score_gpt":0.2554558380728158,"score_spread":0.21793500218066664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400953672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99967647,0.00005181348,0.000033228083,0.0000078171315,0.0000010082482,0.0000011070515,0.00007832082,8.7745025e-7,0.00014944705],"genre_scores_gemma":[0.9997824,0.000026423566,0.000046163528,0.0000046127416,0.0000011189301,0.0000010713154,0.00008138014,6.8868053e-7,0.00005621989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988174,0.000022311224,0.0000071768195,0.000034541736,0.000020513995,0.000033741962],"domain_scores_gemma":[0.9996711,0.00003760862,0.00014317167,0.000014918501,0.000054558837,0.000078695884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023665355,0.00016510511,0.00015778161,0.00071967253,0.00060627935,0.00053104653,0.00017835682,0.00017681089,0.0008388674],"category_scores_gemma":[0.00042547312,0.000114273535,0.00015359168,0.00050959375,0.00042369062,0.00019896579,0.00034423254,0.00014338848,0.00007289784],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003200088,0.000008514923,0.9974347,0.0000064928286,0.00002235251,0.000040044844,0.00023251325,0.00009774215,0.0007770387,0.0000116099845,0.000037557602,0.0012994907],"study_design_scores_gemma":[2.3969577e-7,0.0000030027288,0.99965024,0.0000013895334,0.0000015867017,0.000014515784,0.0002337977,0.000055071305,0.000012324298,0.0000035889154,0.000023586781,6.158212e-7],"about_ca_topic_score_codex":0.2393243,"about_ca_topic_score_gemma":0.54493105,"teacher_disagreement_score":0.2393243,"about_ca_system_score_codex":0.0007956325,"about_ca_system_score_gemma":0.0005936564,"threshold_uncertainty_score":0.47586256},"labels":[],"label_agreement":null},{"id":"W4400954369","doi":"10.5194/bg-21-3339-2024","title":"The impacts of modelling prescribed vs. dynamic land cover in a high-CO <sub>2</sub> future scenario – greening of the Arctic and Amazonian dieback","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Environment and Climate Change Canada; Dalhousie University","funders":"","keywords":"Biome; Biosphere; Land cover; Environmental science; Climate change; Carbon cycle; Biosphere model; Land use; Land use, land-use change and forestry; Global change; Climatology; Ecosystem; Ecology","score_opus":0.00963433718497432,"score_gpt":0.2184766868513622,"score_spread":0.20884234966638787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400954369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99237436,0.00019317758,0.0013509912,0.00075945986,0.00006573082,0.000023315633,0.0012110906,0.00009373494,0.0039282115],"genre_scores_gemma":[0.9988217,0.000060561073,0.00053142576,0.00006209813,0.0000062187232,0.000010361688,0.00032815998,0.000022381459,0.00015713097],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99959165,0.00020330033,0.000016280794,0.000059172457,0.000044725606,0.00008491549],"domain_scores_gemma":[0.99914587,0.0003951027,0.00008965086,0.00007007104,0.00014708567,0.00015217988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012074054,0.0007928771,0.0004652388,0.00039946206,0.0006659625,0.0015079984,0.0009260662,0.0012690676,0.0016906551],"category_scores_gemma":[0.001992248,0.00027609,0.00090910494,0.0005842349,0.00073083205,0.000975805,0.00059226836,0.0008818898,0.00014094517],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038504836,0.00014357668,0.032863367,0.00007081714,0.00020778677,0.00024658587,0.00005351491,0.95876217,0.0022544984,0.0016038534,0.0007496674,0.0026591572],"study_design_scores_gemma":[0.00019299888,0.00028940942,0.02531673,0.0000330288,0.0001297702,0.000048771144,0.00026923316,0.96900755,0.0018512296,0.0010291717,0.0017878662,0.000044234857],"about_ca_topic_score_codex":0.10167028,"about_ca_topic_score_gemma":0.06693764,"teacher_disagreement_score":0.10167028,"about_ca_system_score_codex":0.0021780792,"about_ca_system_score_gemma":0.001233805,"threshold_uncertainty_score":0.20215696},"labels":[],"label_agreement":null},{"id":"W4401257242","doi":"10.5194/bg-21-3491-2024","title":"Patterns and drivers of organic matter decomposition in peatland open-water pools","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université de Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; Westfälische Wilhelms-Universität Münster; Deutsche Forschungsgemeinschaft","keywords":"Peat; Environmental science; Ombrotrophic; Bog; Organic matter; Sphagnum; Ecosystem; Environmental chemistry; Temperate climate; Dissolved organic carbon; Typha angustifolia; Carbon cycle; Ecology; Chemistry; Wetland; Biology","score_opus":0.008760048103451143,"score_gpt":0.24354746899568877,"score_spread":0.23478742089223764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401257242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99984276,0.000020930154,0.000025634821,0.0000040203145,2.5446536e-7,0.0000012676566,0.000045566147,0.000001126453,0.000058517075],"genre_scores_gemma":[0.99981886,0.000016083772,0.000036512374,0.0000025285726,7.7846573e-7,0.0000023845118,0.000066728666,7.371785e-7,0.000055458513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988365,0.000018183357,0.000011281079,0.00003762164,0.000012711413,0.000036415695],"domain_scores_gemma":[0.99960464,0.000059444552,0.00017033171,0.000014783928,0.00005443781,0.00009645224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022872117,0.00014578595,0.00022582615,0.0007915636,0.00025416803,0.0005109512,0.0001608256,0.00023780843,0.0005143152],"category_scores_gemma":[0.00045189503,0.00017850519,0.00020851397,0.0005279487,0.0003109729,0.00033497915,0.00046094498,0.00012233197,0.00008640698],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001216491,0.000031940675,0.97925,0.000016063248,0.00004194613,0.00009256544,0.00029284362,0.00023162081,0.017979344,0.0000770958,0.000035091416,0.0018297866],"study_design_scores_gemma":[9.41704e-7,0.000010942386,0.9993253,0.0000013626184,0.0000031749064,0.000013053478,0.00015683225,0.00030169176,0.00013576013,0.000018005487,0.000031445757,0.0000016280327],"about_ca_topic_score_codex":0.009814487,"about_ca_topic_score_gemma":0.020926224,"teacher_disagreement_score":0.009814487,"about_ca_system_score_codex":0.00038117016,"about_ca_system_score_gemma":0.0002479193,"threshold_uncertainty_score":0.01951474},"labels":[],"label_agreement":null},{"id":"W4401380319","doi":"10.5194/bg-9-3047-2012","title":"Photoproduction of ammonium in the southeastern Beaufort Sea and its biogeochemical implications","year":2012,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Biogeochemical cycle; Beaufort sea; Oceanography; Environmental science; Beaufort scale; Ammonium; Geology; Chemistry; Environmental chemistry; Sea ice","score_opus":0.022546521394537517,"score_gpt":0.2226888245385466,"score_spread":0.20014230314400908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401380319","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859625,0.0002297806,0.00007588548,0.000076137156,0.0000032475286,0.0000020493844,0.00014995165,0.000009486504,0.00085720664],"genre_scores_gemma":[0.9994369,0.00006217397,0.00013534196,0.000026130932,0.0000031037894,0.000001524565,0.00012252596,0.0000020087407,0.00021030253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998896,0.000012931209,0.0000047286394,0.000036112684,0.00003236169,0.000024283761],"domain_scores_gemma":[0.9997327,0.000031270138,0.000085949876,0.000010539796,0.00010165534,0.000037894682],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023020648,0.00025928873,0.00017473917,0.00051176525,0.0007248244,0.00053784845,0.000305422,0.0003478296,0.00040118565],"category_scores_gemma":[0.00019316141,0.00016317333,0.00025491623,0.00058031373,0.0003293071,0.0002811824,0.00027081204,0.0001689175,0.00008380003],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031150345,0.0000443283,0.8941516,0.00007174144,0.00008846972,0.00081938365,0.00048061847,0.0025307667,0.08887935,0.00014017186,0.00048453265,0.011997468],"study_design_scores_gemma":[0.0000022715017,0.000015753369,0.9971908,0.0000026549706,0.0000048431857,0.00004219605,0.00011257206,0.0011486929,0.0011460077,0.000012037082,0.0003186287,0.0000037173465],"about_ca_topic_score_codex":0.42735043,"about_ca_topic_score_gemma":0.529998,"teacher_disagreement_score":0.42735043,"about_ca_system_score_codex":0.0025912109,"about_ca_system_score_gemma":0.00087538344,"threshold_uncertainty_score":0.84972596},"labels":[],"label_agreement":null},{"id":"W4401763481","doi":"10.5194/bg-21-3665-2024","title":"Technical note: Ocean Alkalinity Enhancement Pelagic Impact Intercomparison Project (OAEPIIP)","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"University of Tasmania","keywords":"Pelagic zone; Alkalinity; Plankton; Coupled model intercomparison project; Environmental science; Ocean acidification; Seawater; Oceanography; Environmental resource management; Climate change; Global warming; Ecology; Climate model; Biology; Geology","score_opus":0.028089289287741716,"score_gpt":0.31668295794702334,"score_spread":0.2885936686592816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401763481","genre_codex":"dataset","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0626003,0.0039731604,0.13819186,0.13157415,0.050752833,0.0316413,0.34797326,0.0076599494,0.2256332],"genre_scores_gemma":[0.21432172,0.004046773,0.20319743,0.023928702,0.007867479,0.039513573,0.33709288,0.004913269,0.16511823],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9847199,0.005219287,0.0011787806,0.0018640072,0.005553912,0.0014640434],"domain_scores_gemma":[0.9458875,0.0067331064,0.0033005818,0.0062588006,0.027850248,0.009969837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.05249341,0.0012056993,0.00077142264,0.0021250532,0.0021085478,0.0033013378,0.0041430495,0.0023095105,0.028119456],"category_scores_gemma":[0.039310995,0.000544337,0.0010388062,0.002299528,0.0012863091,0.0023585183,0.009105046,0.003045988,0.010018332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030949228,0.00031166465,0.014849743,0.001353971,0.00019740342,0.00078731164,0.0011728096,0.0028282735,0.00897661,0.008085736,0.84063774,0.11770374],"study_design_scores_gemma":[0.0004214508,0.0006674265,0.020946523,0.0003854272,0.00009003936,0.00015366262,0.00055310765,0.001146022,0.0064093145,0.0038369833,0.96532583,0.00006423872],"about_ca_topic_score_codex":0.009381699,"about_ca_topic_score_gemma":0.0073226783,"teacher_disagreement_score":0.05249341,"about_ca_system_score_codex":0.0024069601,"about_ca_system_score_gemma":0.02266508,"threshold_uncertainty_score":0.277615},"labels":[],"label_agreement":null},{"id":"W4401826668","doi":"10.5194/bg-21-3735-2024","title":"Optimizing the terrestrial ecosystem gross primary productivity using carbonyl sulfide (COS) within a two-leaf modeling framework","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Nanjing University; National Natural Science Foundation of China; McGill University","keywords":"Primary production; Productivity; Primary productivity; Ecosystem; Sulfide; Carbonyl sulfide; Primary (astronomy); Environmental science; Terrestrial ecosystem; Chemistry; Environmental chemistry; Ecology; Sulfur; Biology; Economics; Organic chemistry","score_opus":0.024371246452099184,"score_gpt":0.24520669593001296,"score_spread":0.22083544947791378,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401826668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83940583,0.00045713296,0.15204045,0.0003715947,0.000089662426,0.000073996234,0.000811675,0.0009870052,0.005762635],"genre_scores_gemma":[0.97842693,0.000117145464,0.02018632,0.000060037586,0.000012172601,0.00006776795,0.00042329088,0.000056525125,0.00064979383],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998884,0.000027352946,0.0000054339525,0.00003531527,0.000026423393,0.000016992888],"domain_scores_gemma":[0.9998097,0.000089799614,0.000020732788,0.000014426662,0.000041157586,0.000024264367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038354218,0.00092418346,0.00060093746,0.0002841227,0.00045589745,0.00069536996,0.00080773985,0.0008955422,0.0007874262],"category_scores_gemma":[0.00058239774,0.0003590976,0.0009338404,0.00034675887,0.00035708924,0.00061755546,0.00057916355,0.00078786374,0.0001201524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023236582,0.000033580553,0.0015776829,0.000025720527,0.000025106197,0.000028196448,0.000014621233,0.9939663,0.002277675,0.0003775346,0.00009803139,0.0015522867],"study_design_scores_gemma":[0.0000059123663,0.000008501832,0.00016673829,7.8110213e-7,0.0000039608744,0.0000016862589,0.0000030161955,0.99937385,0.00029085056,0.00007445983,0.00006785583,0.0000022715733],"about_ca_topic_score_codex":0.02569606,"about_ca_topic_score_gemma":0.014636726,"teacher_disagreement_score":0.02569606,"about_ca_system_score_codex":0.00068787864,"about_ca_system_score_gemma":0.001205438,"threshold_uncertainty_score":0.051092982},"labels":[],"label_agreement":null},{"id":"W4401894166","doi":"10.5194/bg-21-3789-2024","title":"Implications of climate and litter quality for simulations of litterbag decomposition at high latitudes","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Invertebrate Taxonomy and Ecology","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Environmental science; Decomposition; Latitude; High latitude; Climatology; Climate change; Atmospheric sciences; Ecology; Geology; Biology","score_opus":0.041137740699368076,"score_gpt":0.29984934579686745,"score_spread":0.25871160509749935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401894166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965894,0.000053547814,0.0016116073,0.00007001364,0.000016190368,0.000011483077,0.0004883604,0.000090539506,0.001068888],"genre_scores_gemma":[0.9984713,0.000022970682,0.0010887905,0.000020066364,0.0000031332274,0.000013342932,0.00022988401,0.000019171906,0.00013133232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982786,0.000069581896,0.000011135045,0.000036829024,0.000016886419,0.00003766549],"domain_scores_gemma":[0.99899787,0.00056880334,0.00010240623,0.00007406234,0.00013668933,0.00012018765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008224436,0.0005734657,0.0004419435,0.00020675754,0.0003975535,0.0007352641,0.0006203593,0.00068198337,0.001149554],"category_scores_gemma":[0.0017563825,0.00027194765,0.00073765387,0.00024628028,0.00039447876,0.00038165846,0.0003395945,0.0005450428,0.00012149009],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029430536,0.00011827203,0.042095535,0.00005714338,0.00007277986,0.00006527155,0.000048904698,0.9492629,0.0057258024,0.0005141345,0.0002217055,0.0015232823],"study_design_scores_gemma":[0.0000792104,0.00009716285,0.00963028,0.000007523871,0.000029853649,0.000012087137,0.00004217582,0.9877846,0.0019245347,0.00018781537,0.00019203105,0.000012653482],"about_ca_topic_score_codex":0.052990977,"about_ca_topic_score_gemma":0.026440792,"teacher_disagreement_score":0.052990977,"about_ca_system_score_codex":0.001086156,"about_ca_system_score_gemma":0.00073793717,"threshold_uncertainty_score":0.10536504},"labels":[],"label_agreement":null},{"id":"W4401994845","doi":"10.5194/bg-21-3839-2024","title":"Anthropogenic carbon storage and its decadal changes in the Atlantic between 1990–2020","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Environmental science; Oceanography; Upwelling; Ocean current; North Atlantic Deep Water; Climate change; Water mass; Lead (geology); Climatology; Thermohaline circulation; Atmospheric sciences; Geology","score_opus":0.018933049144104857,"score_gpt":0.22868674270129838,"score_spread":0.20975369355719353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401994845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98856235,0.0010887955,0.0003250205,0.00032054653,0.000048003472,0.0000035438725,0.008228886,0.0000339404,0.0013889796],"genre_scores_gemma":[0.99547607,0.00026626547,0.000118793076,0.000035758952,0.000025609763,0.000003968029,0.0038342432,0.000003827139,0.00023539318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989784,0.000011107102,0.000014265229,0.00003127629,0.00002494757,0.000020527163],"domain_scores_gemma":[0.99935037,0.000046030797,0.00028004945,0.00003780639,0.00023095433,0.00005474995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003513905,0.00022428781,0.00012650026,0.00066356326,0.00014035948,0.00055929174,0.00015463635,0.00019680636,0.0007411417],"category_scores_gemma":[0.00069426413,0.00008194065,0.0003775571,0.0012846874,0.0001684803,0.00041723464,0.00036451465,0.00024400283,0.00019252392],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018367184,0.000021464373,0.9831472,0.00006939305,0.0002157459,0.00006837093,0.00009309944,0.0013939163,0.0021158177,0.00027481708,0.0012788345,0.011137616],"study_design_scores_gemma":[0.0000021237067,0.000015922638,0.9973646,0.0000074640707,0.000027534214,0.000031265765,0.00005027878,0.00096285396,0.0002140396,0.00005424505,0.0012658848,0.000003784487],"about_ca_topic_score_codex":0.03367903,"about_ca_topic_score_gemma":0.03537546,"teacher_disagreement_score":0.03367903,"about_ca_system_score_codex":0.00070168846,"about_ca_system_score_gemma":0.00036013365,"threshold_uncertainty_score":0.066966},"labels":[],"label_agreement":null},{"id":"W4402153194","doi":"10.5194/bg-21-3617-2024","title":"Estimates of carbon sequestration potential in an expanding Arctic fjord (Hornsund, Svalbard) affected by dark plumes of glacial meltwater","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Natural Environment Research Council; Deutscher Akademischer Austauschdienst; Narodowa Agencja Wymiany Akademickiej; Narodowe Centrum Nauki; Bundesministerium für Bildung und Forschung; UK Research and Innovation","keywords":"Meltwater; Fjord; Glacier; Oceanography; Environmental science; Arctic; Glacial period; Sea ice; Biogeochemical cycle; Phytoplankton; Geology; Physical geography; Geomorphology; Ecology; Geography","score_opus":0.016748883805674367,"score_gpt":0.2492766952597251,"score_spread":0.23252781145405071,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402153194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996088,0.000039323753,0.00008135926,0.0000051016877,0.0000022714662,0.0000014568624,0.00013869074,0.000009328557,0.000113715236],"genre_scores_gemma":[0.99928266,0.000030284937,0.00018205272,0.0000033751717,0.0000016150726,0.0000021574908,0.00042019677,0.000002793002,0.00007482281],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999256,0.00001154935,0.0000065813374,0.000021660693,0.0000136024655,0.000021032098],"domain_scores_gemma":[0.999897,0.000021291387,0.000017055263,0.000012403224,0.000023820174,0.0000283609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023140581,0.00051542703,0.00037989125,0.0005838692,0.0004954599,0.00062783755,0.00032364717,0.000468044,0.00032499744],"category_scores_gemma":[0.00031649723,0.00024379403,0.0006397491,0.00040986956,0.000244511,0.0003176211,0.0003719944,0.000195314,0.000080909056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006757728,0.00019811858,0.8542521,0.000076226665,0.00040722996,0.00095130387,0.00016910641,0.11003189,0.0248933,0.00017668349,0.00031232013,0.007855854],"study_design_scores_gemma":[0.00004351067,0.00015167797,0.8322477,0.000013292601,0.000139384,0.00009428208,0.00026770672,0.16292407,0.003471687,0.000062234925,0.0005625098,0.00002201916],"about_ca_topic_score_codex":0.13574989,"about_ca_topic_score_gemma":0.12561557,"teacher_disagreement_score":0.13574989,"about_ca_system_score_codex":0.0011608093,"about_ca_system_score_gemma":0.0006492395,"threshold_uncertainty_score":0.26991946},"labels":[],"label_agreement":null},{"id":"W4402520564","doi":"10.5194/bg-21-4037-2024","title":"The Northeast Greenland Shelf as a potential late-summer CO <sub>2</sub> source to the atmosphere","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Danmarks Frie Forskningsfond; Aarhus Universitet","keywords":"Atmosphere (unit); Environmental science; Oceanography; Climatology; Geology; Atmospheric sciences; Meteorology; Geography","score_opus":0.005618822080299944,"score_gpt":0.2031747386732439,"score_spread":0.19755591659294394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402520564","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913633,0.00044218582,0.00025374562,0.00031211274,0.000034864228,0.0000057623797,0.0036068533,0.000036668545,0.00394444],"genre_scores_gemma":[0.9953121,0.00018719405,0.00040099234,0.000112268935,0.000011242424,0.0000050698127,0.0030422406,0.000013063023,0.0009156891],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992836,0.000009850732,0.000004260251,0.000022978988,0.000015178597,0.00001941087],"domain_scores_gemma":[0.9997687,0.00002114108,0.000066219574,0.000020066545,0.00007606926,0.000047797577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016372756,0.0002261584,0.00014862973,0.00037524413,0.00038303464,0.0009942288,0.00019253072,0.00015624151,0.001659436],"category_scores_gemma":[0.0002245482,0.000060519385,0.0001482846,0.00094279286,0.00018382138,0.00043507258,0.0003608548,0.00015978284,0.0002653302],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011459838,0.00002720847,0.96595997,0.00006993603,0.00009366046,0.00031619906,0.0003715559,0.0009123175,0.0066730883,0.0005878798,0.004275993,0.020597484],"study_design_scores_gemma":[0.000001657373,0.000005424117,0.9945175,0.000017684564,0.00001098026,0.000015589734,0.00033483974,0.00068287505,0.0003568097,0.000080614154,0.003973347,0.0000027295719],"about_ca_topic_score_codex":0.12861715,"about_ca_topic_score_gemma":0.30021268,"teacher_disagreement_score":0.12861715,"about_ca_system_score_codex":0.00093946885,"about_ca_system_score_gemma":0.0010123887,"threshold_uncertainty_score":0.25573707},"labels":[],"label_agreement":null},{"id":"W4403692229","doi":"10.5194/bg-21-4569-2024","title":"Seafloor sediment characterization improves estimates of organic carbon standing stocks: an example from the Eastern Shore Islands, Nova Scotia, Canada","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; Ocean Frontier Institute","keywords":"Nova scotia; Seafloor spreading; Oceanography; Shore; Sediment; Geology; Total organic carbon; Environmental science; Geomorphology; Ecology","score_opus":0.028256611707065907,"score_gpt":0.23738148777133397,"score_spread":0.20912487606426805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403692229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960188,0.0002718621,0.0003416469,0.000055581408,0.000005775152,0.000022665667,0.0011884215,0.000020121615,0.0020751378],"genre_scores_gemma":[0.99707115,0.00016592363,0.001012355,0.0000236726,0.0000016205665,0.000005969266,0.0007776787,0.000008126482,0.0009333564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998281,0.000021178783,0.000012513358,0.000045835037,0.000047859034,0.000044461252],"domain_scores_gemma":[0.9991211,0.00009489322,0.000067534434,0.00003917221,0.0005809501,0.00009632545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038068191,0.00042489433,0.00022446901,0.0010226074,0.0008405264,0.0007606467,0.00042688937,0.00017378044,0.0007126422],"category_scores_gemma":[0.0010986944,0.00015924167,0.00025689398,0.001822084,0.00031108735,0.00014547267,0.00039495234,0.00018727618,0.00013536644],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012601641,0.000026615351,0.9752666,0.00006085868,0.00008470376,0.0003622953,0.0005072805,0.0029303369,0.003306224,0.00008755264,0.0007028795,0.016538735],"study_design_scores_gemma":[0.0000071302893,0.000009643501,0.99452233,0.000020349979,0.000023898003,0.000040424435,0.0006377333,0.0036442783,0.00037272857,0.00001473822,0.00070011086,0.0000066472194],"about_ca_topic_score_codex":0.988516,"about_ca_topic_score_gemma":0.99638546,"teacher_disagreement_score":0.011484027,"about_ca_system_score_codex":0.0048468974,"about_ca_system_score_gemma":0.0057554124,"threshold_uncertainty_score":0.03516692},"labels":[],"label_agreement":null},{"id":"W4403843844","doi":"10.5194/bg-21-4637-2024","title":"Temperature-enhanced effects of iron on Southern Ocean phytoplankton","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Aard- en Levenswetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Koninklijk Nederlands Instituut voor Onderzoek der Zee; Korea Polar Research Institute; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Universiteit Utrecht","keywords":"Phytoplankton; Oceanography; Environmental science; Geology; Nutrient; Ecology; Biology","score_opus":0.004946075882874993,"score_gpt":0.1905507847419825,"score_spread":0.18560470885910751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403843844","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991842,0.00014274986,0.000098241246,0.000020407188,0.000008426223,0.000007954312,0.00015172083,0.000005767431,0.0003804668],"genre_scores_gemma":[0.9984066,0.00009025856,0.00035172372,0.000056837973,0.0000048691095,0.000024747762,0.00016812258,0.000004644781,0.00089218037],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998996,0.000018364912,0.000007694728,0.000034881596,0.000016831646,0.000022531887],"domain_scores_gemma":[0.99984133,0.000041963314,0.00003675703,0.000017606386,0.000028125856,0.00003426651],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012575148,0.0003525598,0.00031649665,0.000117120646,0.00020657526,0.00026153494,0.000149126,0.00030680068,0.0010080251],"category_scores_gemma":[0.00014420773,0.00018134892,0.0002747005,0.000101439,0.00024496953,0.00017223506,0.0002621091,0.0003766429,0.00013942373],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007493743,0.000033183078,0.0016288711,0.000034731882,0.00000799315,0.000020186877,0.000029903773,0.00009789625,0.99667954,0.000010489525,0.000017899512,0.0006899748],"study_design_scores_gemma":[0.000058245776,0.0023411224,0.18378419,0.000016848438,0.00006294874,0.00006895313,0.00017734327,0.0013733576,0.81071436,0.000069121095,0.0013120569,0.0000214722],"about_ca_topic_score_codex":0.002592578,"about_ca_topic_score_gemma":0.0043608374,"teacher_disagreement_score":0.002592578,"about_ca_system_score_codex":0.00038494696,"about_ca_system_score_gemma":0.00018706113,"threshold_uncertainty_score":0.0051549673},"labels":[],"label_agreement":null},{"id":"W4403899176","doi":"10.5194/bg-21-4699-2024","title":"Technical note: Comparison of radiometric techniques for estimating recent organic carbon sequestration rates in inland wetland soils","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Toronto; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Radiometric dating; Carbon sequestration; Soil water; Environmental science; Wetland; Total organic carbon; Soil science; Hydrology (agriculture); Earth science; Environmental chemistry; Remote sensing; Geology; Carbon dioxide; Ecology; Chemistry","score_opus":0.02500568369323988,"score_gpt":0.3151332240664105,"score_spread":0.2901275403731706,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403899176","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.30760688,0.0047123,0.66563755,0.0012734019,0.0017200069,0.0011177178,0.005382727,0.0020789667,0.010470463],"genre_scores_gemma":[0.29484236,0.0023030879,0.6878191,0.00050852663,0.00033569944,0.0011179682,0.0034081023,0.0006143392,0.009050842],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972372,0.00096685125,0.00026779,0.00046287326,0.0009830162,0.000082238046],"domain_scores_gemma":[0.9911691,0.0029576519,0.0007854161,0.0012257056,0.003687396,0.00017476451],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010403679,0.00064835104,0.00031066322,0.0018100231,0.00038441774,0.00087083987,0.0015179819,0.00072740094,0.0024439902],"category_scores_gemma":[0.01442625,0.00031168404,0.0005215639,0.0015071242,0.00032963316,0.0005859804,0.0006864965,0.00042703017,0.0020794065],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014448373,0.00027303604,0.13256003,0.0011946304,0.00033843055,0.00036457146,0.00048544648,0.0033364089,0.47729844,0.001851008,0.0073491773,0.37350404],"study_design_scores_gemma":[0.00009027657,0.001193955,0.19471622,0.00015437587,0.00053736224,0.0025758555,0.00032466822,0.02041289,0.71607256,0.0011899014,0.06257388,0.00015812604],"about_ca_topic_score_codex":0.0026854952,"about_ca_topic_score_gemma":0.00462522,"teacher_disagreement_score":0.010403679,"about_ca_system_score_codex":0.000480078,"about_ca_system_score_gemma":0.0006984111,"threshold_uncertainty_score":0.05502057},"labels":[],"label_agreement":null},{"id":"W4404114435","doi":"10.5194/bg-21-4837-2024","title":"Physicochemical perturbation increases nitrous oxide production from denitrification in soils and sediments","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Georgia Sea Grant, University of Georgia; Directorate for Geosciences; Villanova University; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Nitrous oxide; Denitrification; Soil water; Environmental science; Environmental chemistry; Perturbation (astronomy); Soil science; Nitrogen; Chemistry","score_opus":0.015388136246609892,"score_gpt":0.2242451931352334,"score_spread":0.2088570568886235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404114435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911994,0.00021046752,0.00021855689,0.000023513508,0.000010322985,0.000011733417,0.00013028008,0.000017832454,0.000257314],"genre_scores_gemma":[0.99900323,0.00014228096,0.00027251214,0.000031879426,0.000004869567,0.000011128598,0.00019265617,0.0000031278312,0.00033831774],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982125,0.000019994417,0.000021485273,0.00004539233,0.00005702402,0.000035000754],"domain_scores_gemma":[0.9997627,0.00002334705,0.00008839751,0.000014299393,0.00003249622,0.000078696045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001228551,0.00037932722,0.00026379107,0.0001665308,0.00016412864,0.00039634938,0.0001838822,0.00022428781,0.00053213193],"category_scores_gemma":[0.00021493282,0.0001788021,0.00019603866,0.000164955,0.00025632835,0.00020754602,0.00037379743,0.00029835186,0.000083894614],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002824697,0.000031365027,0.0036426703,0.000044119668,0.000019644773,0.000042457275,0.00001775597,0.00006339343,0.9949191,0.0000146206585,0.000015546877,0.000906658],"study_design_scores_gemma":[0.000060170514,0.0021222797,0.32424197,0.000019826637,0.00006527512,0.0002759624,0.0002744652,0.0014951251,0.66961265,0.00015060938,0.0016622827,0.00001925169],"about_ca_topic_score_codex":0.00259478,"about_ca_topic_score_gemma":0.0031040409,"teacher_disagreement_score":0.00259478,"about_ca_system_score_codex":0.00038983888,"about_ca_system_score_gemma":0.0003172383,"threshold_uncertainty_score":0.0051593184},"labels":[],"label_agreement":null},{"id":"W4404161057","doi":"10.5194/bg-21-4853-2024","title":"Effect of terrestrial nutrient limitation on the estimation of the remaining carbon budget","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University; Memorial University of Newfoundland","funders":"Alliance de recherche numérique du Canada; Compute Canada","keywords":"Nutrient; Environmental science; Estimation; Carbon fibers; Ecology; Biology; Computer science; Economics","score_opus":0.008042620911021143,"score_gpt":0.22382245232898576,"score_spread":0.2157798314179646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404161057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948361,0.00010979092,0.0033856707,0.00006571025,0.0000112551725,0.000014038823,0.00057125156,0.000055296492,0.0009509748],"genre_scores_gemma":[0.998259,0.000031054828,0.0012420985,0.000018557079,0.0000011725939,0.000012403376,0.00034720206,0.000011951165,0.00007655522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997471,0.000106099134,0.000016047961,0.00006410167,0.0000301642,0.000036484555],"domain_scores_gemma":[0.9987148,0.00081696344,0.00011655707,0.00013075127,0.00015136866,0.00006963765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009469394,0.00051341107,0.0003148132,0.00028305853,0.00029689906,0.0004908791,0.00055150164,0.0005516967,0.0009035751],"category_scores_gemma":[0.0028347988,0.00019831804,0.00070123456,0.00044548014,0.00054620486,0.00068250025,0.00043547922,0.000508812,0.00007851647],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002845295,0.000067079294,0.04064944,0.00008835024,0.00016796993,0.00012799627,0.000032332726,0.94700426,0.006886652,0.0007370374,0.0002052497,0.0037490246],"study_design_scores_gemma":[0.00009602977,0.00022691661,0.029981382,0.000030007443,0.00008551195,0.000052322983,0.00008817895,0.95916206,0.008598016,0.0010362328,0.00060175994,0.000041522937],"about_ca_topic_score_codex":0.017437598,"about_ca_topic_score_gemma":0.009893405,"teacher_disagreement_score":0.017437598,"about_ca_system_score_codex":0.0005840676,"about_ca_system_score_gemma":0.00071954186,"threshold_uncertainty_score":0.0346722},"labels":[],"label_agreement":null},{"id":"W4404184975","doi":"10.5194/bg-21-4889-2024","title":"Results from a multi-laboratory ocean metaproteomic intercomparison: effects of LC-MS acquisition and data analysis procedures","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Advanced Proteomics Techniques and Applications","field":"Chemistry","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Directorate for Geosciences","keywords":"Metaproteomics; Metagenomics; Reproducibility; Computer science; Pairwise comparison; Data mining; Biology; Statistics; Artificial intelligence; Mathematics","score_opus":0.022392514374330794,"score_gpt":0.31568832261161817,"score_spread":0.29329580823728735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404184975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"methods","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":"methods","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79001206,0.0016200232,0.19766128,0.00085813843,0.00042274795,0.0015062781,0.0034764188,0.0023680215,0.0020750314],"genre_scores_gemma":[0.81394,0.0003312462,0.17509976,0.0009140006,0.000075255084,0.0018939781,0.004987377,0.0014049356,0.0013533909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.96398246,0.013242539,0.004418528,0.00716403,0.0102219125,0.00097056356],"domain_scores_gemma":[0.9483809,0.021343544,0.0043641883,0.010132094,0.015024414,0.0007549157],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.038512655,0.0026133535,0.0013670432,0.0016670545,0.0019126921,0.002328858,0.0012864537,0.0020513632,0.0011910156],"category_scores_gemma":[0.04359368,0.00086480763,0.0023849255,0.0014973134,0.001459893,0.0011735902,0.002589522,0.001381114,0.0008311959],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0046886136,0.0012717559,0.03721628,0.0007239977,0.0018286275,0.00038242707,0.0014981573,0.0037939,0.91058224,0.00033068715,0.0012333317,0.036449946],"study_design_scores_gemma":[0.00014088507,0.0032557687,0.13287385,0.00009284622,0.0012088979,0.00061619043,0.0006989471,0.01568566,0.8397147,0.00082597765,0.0045730574,0.00031324604],"about_ca_topic_score_codex":0.0031797271,"about_ca_topic_score_gemma":0.00291199,"teacher_disagreement_score":0.96148735,"about_ca_system_score_codex":0.0010148692,"about_ca_system_score_gemma":0.001295617,"threshold_uncertainty_score":0.20367688},"labels":[],"label_agreement":null},{"id":"W4404490237","doi":"10.5194/bg-21-5079-2024","title":"X-BASE: the first terrestrial carbon and water flux products from an extended data-driven scaling framework, FLUXCOM-X","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of British Columbia","funders":"Ministerio de Universidades; HORIZON EUROPE Excellent Science; Agencia Estatal de Investigación; Horizon 2020; Natural Sciences and Engineering Research Council of Canada; ETH Zürich Foundation; Helmholtz Association; Eidgenössische Technische Hochschule Zürich; Academy of Finland; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Ministerstvo Školství, Mládeže a Tělovýchovy; Ministry of Education, Culture, Sports, Science and Technology; National Science Foundation; European Space Agency; Deutsche Forschungsgemeinschaft; Niedersächsische Ministerium für Wissenschaft und Kultur; Vetenskapsrådet; Australian Research Council; Swedish National Space Agency","keywords":"Scaling; Flux (metallurgy); Carbon flux; Environmental science; Base (topology); Carbon fibers; Atmospheric sciences; Physics; Materials science; Mathematics; Ecosystem; Ecology; Geometry; Biology","score_opus":0.01926182883824694,"score_gpt":0.24196915401315452,"score_spread":0.2227073251749076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404490237","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11386859,0.004004427,0.4695476,0.0016504626,0.0018682308,0.0008848152,0.2823023,0.08466138,0.041212253],"genre_scores_gemma":[0.20156273,0.002138147,0.36833012,0.0006836679,0.00043836393,0.0015512137,0.4016452,0.014223501,0.009426993],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943167,0.000092264876,0.000044957866,0.00016014444,0.00022250928,0.000048368216],"domain_scores_gemma":[0.9983083,0.00026589195,0.0001832087,0.0003970435,0.0007252765,0.00012039046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002733312,0.0029884556,0.00069758156,0.0017917405,0.00047047602,0.0019622853,0.0014151427,0.0010381913,0.004103063],"category_scores_gemma":[0.0035093217,0.0007477101,0.000800034,0.0026598552,0.00045298034,0.0035739,0.0016076955,0.0016341116,0.0031418337],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013867238,0.0005416405,0.031869076,0.001907431,0.0008796876,0.0005846334,0.00056750816,0.1077546,0.04178989,0.047039304,0.3303676,0.43531194],"study_design_scores_gemma":[0.00039110673,0.00034837943,0.03867276,0.00062646763,0.0002833545,0.00031621332,0.00019184685,0.2325895,0.04601524,0.025556697,0.654695,0.00031348574],"about_ca_topic_score_codex":0.0077572544,"about_ca_topic_score_gemma":0.0037007423,"teacher_disagreement_score":0.0077572544,"about_ca_system_score_codex":0.00062719313,"about_ca_system_score_gemma":0.0013522769,"threshold_uncertainty_score":0.015424192},"labels":[],"label_agreement":null},{"id":"W4404824511","doi":"10.5194/bg-21-5361-2024","title":"Deep-sea stylasterid <i>δ</i> <sup>18</sup> O and <i>δ</i> <sup>13</sup> C maps inform sampling scheme for paleotemperature reconstructions","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Geology; Sampling (signal processing); Oceanography; Physics","score_opus":0.01904226507767413,"score_gpt":0.24342418404999414,"score_spread":0.22438191897232002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404824511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98421776,0.00021393127,0.0038430642,0.000055013978,0.000010859043,0.000021934195,0.002645913,0.00018099527,0.008810484],"genre_scores_gemma":[0.99505603,0.00010379953,0.00343173,0.000015293519,0.0000020291764,0.000011106203,0.000633621,0.000019241126,0.0007271897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999473,0.0000045609195,0.0000043694263,0.000018191191,0.000016981072,0.000008556178],"domain_scores_gemma":[0.99982303,0.00001546079,0.00006087009,0.000029086681,0.000053409687,0.000018198769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010494831,0.0002629659,0.00009050225,0.0008744715,0.00031002058,0.00032600007,0.00017293707,0.00013361085,0.0026686518],"category_scores_gemma":[0.00032893437,0.00013567285,0.00015648738,0.00080184627,0.0001872935,0.00020196203,0.00039911244,0.00013092239,0.0003714575],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021539489,0.000012198516,0.78201413,0.00011787794,0.000080663696,0.00015868945,0.00038970236,0.0039474308,0.10900362,0.00082425954,0.0013766446,0.101859376],"study_design_scores_gemma":[0.000003520387,0.000016789782,0.9912888,0.000015993843,0.000022404734,0.00010617929,0.0002891007,0.0012686395,0.0040803263,0.0002162002,0.002684834,0.0000073014553],"about_ca_topic_score_codex":0.01522885,"about_ca_topic_score_gemma":0.054449327,"teacher_disagreement_score":0.01522885,"about_ca_system_score_codex":0.00033656656,"about_ca_system_score_gemma":0.000304543,"threshold_uncertainty_score":0.030280411},"labels":[],"label_agreement":null},{"id":"W4404862497","doi":"10.5194/bg-21-5381-2024","title":"Evaluating adsorption isotherm models for determining the partitioning of ammonium between soil and soil pore water in environmental soil samples","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Analytical chemistry methods development","field":"Chemistry","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; University of Toronto","keywords":"Adsorption; Ammonium; Environmental science; Environmental chemistry; Soil science; Soil water; Chemistry","score_opus":0.10146968720473802,"score_gpt":0.3348292039130966,"score_spread":0.23335951670835858,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404862497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71417737,0.0006073737,0.28162587,0.00012061152,0.000018918363,0.00031369916,0.00064389117,0.0004942361,0.0019980897],"genre_scores_gemma":[0.94128156,0.00034820905,0.056520175,0.00004346561,0.0000059829626,0.00031654778,0.0003235297,0.00004818363,0.0011124521],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99945265,0.00021303317,0.000032427546,0.00008376373,0.00017150099,0.00004672498],"domain_scores_gemma":[0.9979487,0.0015881319,0.00013699761,0.000055191686,0.00024836653,0.000022550787],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00248892,0.0006666235,0.0005541048,0.0008342584,0.00030677376,0.0005573717,0.0009180072,0.0008314066,0.00052362843],"category_scores_gemma":[0.0043397066,0.00026194597,0.0007094344,0.00061735156,0.00028468698,0.0006212765,0.0003836669,0.00040897052,0.0001973293],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024546302,0.00022692763,0.027992435,0.0003179849,0.00019554755,0.00011831524,0.00018711793,0.886323,0.05119153,0.0031887346,0.0003477661,0.029665317],"study_design_scores_gemma":[0.00000775317,0.0000701835,0.0024470123,0.000003868351,0.000010637099,0.00001954528,0.000033984874,0.98953295,0.0073243137,0.0003726499,0.00016720172,0.000009912664],"about_ca_topic_score_codex":0.015702663,"about_ca_topic_score_gemma":0.014326454,"teacher_disagreement_score":0.015702663,"about_ca_system_score_codex":0.0016607646,"about_ca_system_score_gemma":0.00095298135,"threshold_uncertainty_score":0.031222522},"labels":[],"label_agreement":null},{"id":"W4405094878","doi":"10.5194/bg-21-5407-2024","title":"Characterizing regional oceanography and bottom environmental conditions at two contrasting sponge grounds on the northern Labrador Shelf","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine Sponges and Natural Products","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada; Memorial University of Newfoundland","funders":"Horizon 2020; Fisheries and Oceans Canada; Aard- en Levenswetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Memorial University of Newfoundland; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Sciences and Engineering Research Council of Canada; European Commission; ArcticNet","keywords":"Oceanography; Continental shelf; Geology; Environmental science","score_opus":0.011672331514636234,"score_gpt":0.23210852924353978,"score_spread":0.22043619772890355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405094878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995234,0.00002549923,0.000032231186,0.0000044329868,6.1080806e-7,0.0000017051711,0.00022520393,0.0000033403783,0.000183519],"genre_scores_gemma":[0.9992293,0.000023978137,0.00010258197,0.0000063311154,0.0000011391559,0.000004798372,0.00047055318,0.0000020908965,0.00015915232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998406,0.00002658919,0.000015821703,0.00004377913,0.000021408745,0.00005173661],"domain_scores_gemma":[0.9996557,0.000026735577,0.00016411784,0.000026302485,0.00006368071,0.00006354452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022462638,0.00029220406,0.00026344194,0.000989807,0.00034458764,0.0006473193,0.00030749643,0.00018090905,0.0007016437],"category_scores_gemma":[0.0002877432,0.00012611234,0.00032596555,0.0011714838,0.00028936137,0.00025006992,0.00046862886,0.00014822424,0.00020292988],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009003677,0.000026937178,0.9903509,0.000017782479,0.00006005337,0.00010964609,0.00032398853,0.00019291813,0.00427927,0.00001865238,0.00008129235,0.004448568],"study_design_scores_gemma":[0.0000012735643,0.000016782928,0.99932444,0.0000026308303,0.00000814752,0.000018786634,0.00028334,0.000107769294,0.0001587589,0.000001827138,0.00007431087,0.000001940317],"about_ca_topic_score_codex":0.10115731,"about_ca_topic_score_gemma":0.21158259,"teacher_disagreement_score":0.8988427,"about_ca_system_score_codex":0.00073015847,"about_ca_system_score_gemma":0.00045321055,"threshold_uncertainty_score":0.201137},"labels":[],"label_agreement":null},{"id":"W4405333016","doi":"10.5194/bg-21-5517-2024","title":"On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Australian Research Council; National Oceanic and Atmospheric Administration; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Netherlands eScience Center; National Center for Atmospheric Research; National Research Foundation of Korea; National Aeronautics and Space Administration","keywords":"Predictability; Eddy covariance; Environmental science; Forcing (mathematics); Sensible heat; Latent heat; Climate model; Climatology; Meteorology; Land cover; Energy balance; Flux (metallurgy); Econometrics; Atmospheric sciences; Climate change; Land use; Statistics; Mathematics; Geography; Geology; Ecosystem","score_opus":0.013273845838684491,"score_gpt":0.21226832752803712,"score_spread":0.19899448168935263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405333016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904627,0.000059329643,0.0061053107,0.00006467259,0.0000064320297,0.000048983497,0.001028696,0.00025739713,0.0019665267],"genre_scores_gemma":[0.99259585,0.000038970375,0.0054011135,0.000012296228,0.000008165465,0.00005831842,0.0015989186,0.000051817267,0.00023455839],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99962616,0.00013134086,0.000020571397,0.00007765193,0.000092601964,0.000051596875],"domain_scores_gemma":[0.99876666,0.0007194445,0.00008797154,0.00019073348,0.00015273383,0.000082478706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012519915,0.00056971534,0.00035629523,0.00033507912,0.00047244533,0.0006012847,0.00042542102,0.00027111894,0.0009094658],"category_scores_gemma":[0.0018586471,0.00013393548,0.00034512076,0.00052012596,0.00043452258,0.00067441445,0.0005439133,0.0005554479,0.00015337873],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026932824,0.0033575597,0.16743974,0.0003139101,0.00028018685,0.0005171967,0.0007448315,0.604349,0.12210053,0.006915771,0.0034273425,0.08786058],"study_design_scores_gemma":[0.00013360189,0.00095574616,0.059144113,0.000008859253,0.00004592206,0.00004380672,0.0001991737,0.86559504,0.07103043,0.0015626407,0.0012131612,0.00006750768],"about_ca_topic_score_codex":0.007080742,"about_ca_topic_score_gemma":0.0035658453,"teacher_disagreement_score":0.007080742,"about_ca_system_score_codex":0.00037864942,"about_ca_system_score_gemma":0.00031844643,"threshold_uncertainty_score":0.014079034},"labels":[],"label_agreement":null},{"id":"W4405565886","doi":"10.5194/bg-21-5685-2024","title":"High metabolic zinc demand within native Amundsen and Ross sea phytoplankton communities determined by stable isotope uptake rate measurements","year":2024,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Science Foundation","keywords":"Phytoplankton; Oceanography; Environmental science; Metabolic rate; Stable isotope ratio; Zinc; Chemistry; Environmental chemistry; Ecology; Biology; Geology; Nutrient; Endocrinology; Physics","score_opus":0.023702523568393603,"score_gpt":0.24949131482329728,"score_spread":0.22578879125490367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405565886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996253,0.000034659042,0.00008962436,0.0000053245426,9.319805e-7,0.0000023534635,0.000070193775,0.0000033613253,0.00016829265],"genre_scores_gemma":[0.9984206,0.00005989874,0.00067841454,0.000024300147,0.0000020168934,0.000015738868,0.00031494076,0.000007349218,0.0004768356],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9997503,0.000021860418,0.000022675009,0.00012786548,0.000048043526,0.000029303064],"domain_scores_gemma":[0.99979705,0.00002959489,0.000052864667,0.000018882367,0.000053335312,0.000048345908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020788152,0.00038350996,0.00039357974,0.00048012717,0.0005074813,0.0005586106,0.00023663684,0.0003485825,0.00038078337],"category_scores_gemma":[0.00031742133,0.00027934194,0.00023391847,0.00025632003,0.00039285867,0.00036105065,0.0006451704,0.000253458,0.00017491035],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026233005,0.000027631433,0.17570622,0.000029536404,0.000029666146,0.00008116289,0.00049309526,0.000119247816,0.8208636,0.000044261866,0.000021073818,0.0023221117],"study_design_scores_gemma":[0.00001776384,0.00050828286,0.95294285,0.0000069384632,0.000028081866,0.00028962272,0.00072145823,0.0013875643,0.043326207,0.00007426028,0.0006789904,0.000018015155],"about_ca_topic_score_codex":0.0075580603,"about_ca_topic_score_gemma":0.014994866,"teacher_disagreement_score":0.0075580603,"about_ca_system_score_codex":0.00042367552,"about_ca_system_score_gemma":0.0002664065,"threshold_uncertainty_score":0.015028119},"labels":[],"label_agreement":null},{"id":"W4406224670","doi":"10.5194/bg-22-103-2025","title":"Aggregation of ice-nucleating macromolecules from <i>Betula pendula</i> pollen determines ice nucleation efficiency","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Boise State University; Österreichische Forschungsförderungsgesellschaft; Technische Universität Wien Bibliothek; Technische Universität Wien; Universität Wien; National Science Foundation","keywords":"Ice nucleus; Nucleation; Frost (temperature); Supercooling; Betula pendula; Chemical physics; Atmospheric sciences; Chemistry; Botany; Geology; Biology; Meteorology; Physics; Geomorphology","score_opus":0.009234323907517064,"score_gpt":0.2163160375446088,"score_spread":0.2070817136370917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406224670","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99877447,0.00032991488,0.00016668582,0.000009275884,0.0000036702418,0.0000031058466,0.0001047909,0.0000061207493,0.0006019518],"genre_scores_gemma":[0.9990451,0.00011050112,0.00022701937,0.000014508393,0.000003677291,0.0000034658005,0.00032729658,0.0000049052883,0.00026351443],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999378,0.0000053322447,0.0000025723991,0.000021715852,0.000012997324,0.000019525236],"domain_scores_gemma":[0.99989223,0.000016177948,0.000034161494,0.0000048470893,0.000018226378,0.000034326542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009270367,0.00019591869,0.00017279187,0.00045067462,0.00029328978,0.00054555427,0.00013869749,0.0001800081,0.000629517],"category_scores_gemma":[0.00014028187,0.00012067967,0.00013861683,0.00015793456,0.00015326924,0.00030164068,0.00016523946,0.00022689188,0.00020937281],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000051504125,0.000024149213,0.013762348,0.00001917208,0.000010366854,0.000025339508,0.00004174855,0.00003733219,0.9844207,0.00004869398,0.00003185806,0.001526821],"study_design_scores_gemma":[0.0000063335183,0.00012812992,0.76597345,0.0000131242805,0.000026711023,0.00019474009,0.00015198458,0.0016442278,0.23018551,0.000114175295,0.0015525522,0.000009158896],"about_ca_topic_score_codex":0.0022449528,"about_ca_topic_score_gemma":0.0023061277,"teacher_disagreement_score":0.0022449528,"about_ca_system_score_codex":0.00022179312,"about_ca_system_score_gemma":0.00006727265,"threshold_uncertainty_score":0.004463792},"labels":[],"label_agreement":null},{"id":"W4406336124","doi":"10.5194/bg-22-243-2025","title":"Ideas and perspectives: Microorganisms in the air through the lenses of atmospheric chemistry and microphysics","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Agence Nationale de la Recherche","keywords":"Environmental science; Atmospheric sciences; Meteorology; Atmospheric chemistry; Geology; Geography; Ozone","score_opus":0.00800543344094526,"score_gpt":0.22251471742113194,"score_spread":0.21450928398018668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406336124","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.013001666,0.21860759,0.04783939,0.6672282,0.015635341,0.000056963378,0.00041470068,0.00025922895,0.036956917],"genre_scores_gemma":[0.46339,0.2577254,0.063524,0.15806918,0.034174316,0.00029845547,0.0003610065,0.0002692886,0.022188447],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9979705,0.0012869168,0.00003938647,0.00031806057,0.00025522345,0.0001299086],"domain_scores_gemma":[0.99569184,0.002649619,0.00023907209,0.00028551224,0.0006001989,0.0005337194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006086784,0.0010849625,0.0009978993,0.0015622928,0.0019006323,0.0060136286,0.002204219,0.0051802485,0.005905401],"category_scores_gemma":[0.003760573,0.00028948885,0.0010511576,0.0010908513,0.018016428,0.017189391,0.0038336306,0.008178625,0.0015434332],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000077270226,0.00008095434,0.0017207037,0.0007806771,0.000053310632,0.0003557876,0.0035489534,0.0009101959,0.002049578,0.9246688,0.031989556,0.0337643],"study_design_scores_gemma":[0.000011673647,0.00007288331,0.00108951,0.0004565423,0.000023513529,0.00023596793,0.0038229174,0.0012965804,0.0005012143,0.8435124,0.14891922,0.00005749819],"about_ca_topic_score_codex":0.0034354925,"about_ca_topic_score_gemma":0.0024116267,"teacher_disagreement_score":0.006086784,"about_ca_system_score_codex":0.0023239173,"about_ca_system_score_gemma":0.002423896,"threshold_uncertainty_score":0.032190382},"labels":[],"label_agreement":null},{"id":"W4406394176","doi":"10.5194/bg-22-305-2025","title":"Ensemble estimates of global wetland methane emissions over 2000–2020","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; McGill University; University of British Columbia; Environment and Climate Change Canada","funders":"United Nations Environment Programme; Office of Science; Lunds Universitet; Bundesministerium für Bildung und Forschung; Biological and Environmental Research; EarthLab, University of Washington; National Natural Science Foundation of China; Ministry of Education, Culture, Sports, Science and Technology; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Department of Energy; Met Office; Vetenskapsrådet; National Science Foundation","keywords":"Environmental science; Methane; Wetland; Methane emissions; Atmospheric methane; Atmospheric sciences; Climatology; Meteorology; Geography; Geology; Ecology","score_opus":0.006215613155341839,"score_gpt":0.24084907768734037,"score_spread":0.23463346453199854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406394176","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9721657,0.00043220277,0.015531445,0.00013623254,0.000051551517,0.000014515473,0.008753922,0.0003832794,0.0025312298],"genre_scores_gemma":[0.9864253,0.00016489558,0.0035984905,0.000028321125,0.000018469058,0.00001917718,0.009368434,0.000021718184,0.00035528475],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998938,0.000020569918,0.000006712286,0.000035225516,0.00002731157,0.000016460282],"domain_scores_gemma":[0.9997185,0.000062398045,0.000045847937,0.00005340441,0.000097190685,0.000022586879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006901977,0.0005421581,0.00025615952,0.00053627614,0.00014234481,0.000325659,0.00031533558,0.00029404293,0.0006213422],"category_scores_gemma":[0.0009471451,0.00020211613,0.00091804314,0.00054991536,0.00008117677,0.000834035,0.00042661477,0.0002806623,0.00022016783],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021603233,0.000090545676,0.20989627,0.000079599544,0.0010359059,0.00013372382,0.000047124973,0.7368843,0.0062753092,0.0005490635,0.003530225,0.041261937],"study_design_scores_gemma":[0.000024971863,0.00006888472,0.16408579,0.000021471527,0.00022036949,0.00004687264,0.000038787362,0.8286382,0.0025333373,0.0008327817,0.0034425168,0.00004603439],"about_ca_topic_score_codex":0.022294084,"about_ca_topic_score_gemma":0.019269003,"teacher_disagreement_score":0.022294084,"about_ca_system_score_codex":0.00047277918,"about_ca_system_score_gemma":0.00038295376,"threshold_uncertainty_score":0.04432863},"labels":[],"label_agreement":null},{"id":"W4406918217","doi":"10.5194/bg-22-499-2025","title":"Assessing the impacts of simulated ocean alkalinity enhancement on viability and growth of nearshore species of phytoplankton","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; ClimateWorks Foundation","keywords":"Alkalinity; Phytoplankton; Oceanography; Environmental science; Ecology; Geology; Biology; Chemistry; Nutrient","score_opus":0.01968492995667858,"score_gpt":0.27695995805015855,"score_spread":0.25727502809347996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406918217","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994271,0.000018770796,0.0001860451,0.000006167784,0.0000022861773,0.000009538867,0.00010353182,0.0000056910308,0.00024092678],"genre_scores_gemma":[0.99918705,0.000030108284,0.00039414427,0.000010402932,7.8160434e-7,0.000013302926,0.00014103296,0.000001617125,0.00022152122],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99991214,0.00001881298,0.0000071882996,0.000020003312,0.000028369635,0.000013534272],"domain_scores_gemma":[0.99976796,0.00009666093,0.000045035136,0.00001588096,0.000040865667,0.000033576544],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018581409,0.00029188106,0.00021137687,0.0000868568,0.00017377613,0.00024937585,0.00021625272,0.00030283796,0.0008188484],"category_scores_gemma":[0.00032769988,0.00011168844,0.00022491612,0.00010238925,0.0001379787,0.00017817749,0.00031235398,0.00030730327,0.00009510072],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003393761,0.00086539466,0.113854304,0.00020801146,0.00011809306,0.00028771386,0.000100250676,0.051372796,0.8208844,0.000110628825,0.0001404526,0.008664203],"study_design_scores_gemma":[0.0003110119,0.011893852,0.41390505,0.000017315184,0.00019783567,0.000121048746,0.0004232647,0.122088075,0.4493994,0.00021646323,0.0013729662,0.00005373171],"about_ca_topic_score_codex":0.0044242595,"about_ca_topic_score_gemma":0.0071439287,"teacher_disagreement_score":0.0044242595,"about_ca_system_score_codex":0.00048535704,"about_ca_system_score_gemma":0.00021150145,"threshold_uncertainty_score":0.0087970495},"labels":[],"label_agreement":null},{"id":"W4406990747","doi":"10.5194/bg-22-585-2025","title":"Aerosol trace element solubility and deposition fluxes over the Mediterranean Sea and Black Sea basins","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Stantec (Canada)","funders":"Natural Environment Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of East Anglia; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Aerosol; Oceanography; Trace element; Black sea; Deposition (geology); Mediterranean sea; Geology; Mediterranean climate; Environmental science; Mediterranean Basin; Structural basin; Atmospheric sciences; Geochemistry; Geomorphology; Meteorology; Geography","score_opus":0.01334266011069008,"score_gpt":0.22942779450886597,"score_spread":0.2160851343981759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406990747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99897337,0.000084797844,0.00004945271,0.000014123717,0.0000023556327,0.0000029108437,0.0005184263,0.00000729319,0.00034725326],"genre_scores_gemma":[0.9985915,0.000098408884,0.00021228324,0.000007695361,0.0000068452705,0.000005986207,0.00078067865,0.0000048440716,0.00029178482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999366,0.0000061031074,0.0000049979226,0.00002346035,0.00001690245,0.000011942719],"domain_scores_gemma":[0.9999225,0.000010290882,0.000023173683,0.0000041795115,0.000026809308,0.000013107748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020554221,0.0004198458,0.00024717324,0.00070847874,0.00028750216,0.0003949766,0.0001853487,0.00028226784,0.00064485223],"category_scores_gemma":[0.00021020694,0.00015563975,0.00032590248,0.00039397876,0.00011055413,0.00024019014,0.00023376665,0.00011719728,0.00014430775],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005729288,0.000068280606,0.9191194,0.00009291185,0.0002460303,0.00033631464,0.0002931238,0.0030043097,0.061249685,0.000097491764,0.00038179196,0.0145377405],"study_design_scores_gemma":[0.000014858898,0.000033907425,0.9959772,0.000003882542,0.000017838705,0.000030171177,0.0000669179,0.0016002101,0.0018545031,0.000024302364,0.0003727518,0.0000034052455],"about_ca_topic_score_codex":0.044565342,"about_ca_topic_score_gemma":0.042953923,"teacher_disagreement_score":0.044565342,"about_ca_system_score_codex":0.0007836303,"about_ca_system_score_gemma":0.0002505047,"threshold_uncertainty_score":0.0886119},"labels":[],"label_agreement":null},{"id":"W4406999837","doi":"10.5194/bg-22-535-2025","title":"Estimates of critical loads and exceedances of acidity and nutrient nitrogen for mineral soils in Canada for 2014–2016 average annual sulfur and nitrogen atmospheric deposition","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Trent University; Environment and Climate Change Canada","funders":"","keywords":"Nitrogen; Sulfur; Environmental science; Nutrient; Soil water; Deposition (geology); Environmental chemistry; Mineral; Atmospheric sciences; Chemistry; Soil science; Geology; Sediment; Geomorphology","score_opus":0.008081363061032323,"score_gpt":0.2260265225145376,"score_spread":0.21794515945350526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406999837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97523606,0.0003783889,0.0006704645,0.00013601412,0.0000057340367,0.000032717187,0.020344183,0.000082886385,0.0031136125],"genre_scores_gemma":[0.98969144,0.00023455956,0.0008071329,0.00001898477,0.00000185178,0.000012681767,0.008318593,0.000010584327,0.0009041728],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997234,0.00000893957,0.000015260212,0.00004832589,0.00012105433,0.000082993385],"domain_scores_gemma":[0.9991394,0.000034586246,0.00010455443,0.000018586361,0.0005939828,0.00010879055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039280043,0.00042039205,0.00026093094,0.0020130905,0.0010349891,0.0008595274,0.0007114283,0.00025020418,0.0008850743],"category_scores_gemma":[0.000923536,0.00028337687,0.0005356123,0.002113863,0.00031757628,0.00033253198,0.0005873473,0.00028554135,0.00011152444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013978237,0.000024956918,0.95737576,0.0001329325,0.00020965318,0.00014596731,0.00051623443,0.02265718,0.0016360852,0.0009227793,0.0038969726,0.012341708],"study_design_scores_gemma":[0.000008265448,0.000014328042,0.9715152,0.000040059782,0.000050843173,0.000046191097,0.0008819632,0.020954978,0.0009165575,0.0002060445,0.0053387512,0.000026919553],"about_ca_topic_score_codex":0.9945199,"about_ca_topic_score_gemma":0.99677086,"teacher_disagreement_score":0.026647726,"about_ca_system_score_codex":0.026647726,"about_ca_system_score_gemma":0.02109991,"threshold_uncertainty_score":0.1933437},"labels":[],"label_agreement":null},{"id":"W4407713868","doi":"10.5194/bg-22-863-2025","title":"Reviews and syntheses: Review of proxies for low-oxygen paleoceanographic reconstructions","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia; Université du Québec à Rimouski","funders":"Fundação para a Ciência e a Tecnologia; National Science and Technology Council; National Science Foundation; Vetenskapsrådet; Deutsche Forschungsgemeinschaft; UK Research and Innovation","keywords":"Oceanography; Geology; Oxygen; Paleoceanography; Environmental science; Astrobiology; Chemistry; Physics","score_opus":0.02987379688125746,"score_gpt":0.2812449252214453,"score_spread":0.2513711283401878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407713868","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00010100291,0.9970271,0.00046032772,0.0004955495,0.00058254064,0.000014725346,0.00044430644,0.000032533397,0.00084191083],"genre_scores_gemma":[0.00071170204,0.99692696,0.0010371985,0.00032156278,0.00039604196,0.00003170117,0.000364665,0.000018045046,0.00019206629],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.99848145,0.00034981448,0.00048770205,0.00031134425,0.00031035353,0.000059433336],"domain_scores_gemma":[0.9881589,0.008266587,0.0013194146,0.00041087903,0.0016690977,0.00017520803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003479922,0.0020447925,0.002842819,0.0101353815,0.00039995398,0.0029870437,0.0024324073,0.0013969163,0.012500985],"category_scores_gemma":[0.015958456,0.00083275087,0.0014820357,0.015367051,0.0010743646,0.0028778731,0.0014360935,0.001923722,0.004335648],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009457981,0.000035699748,0.00062341825,0.16782753,0.00061331596,0.00015946399,0.00038029216,0.0007299042,0.00058517884,0.006768503,0.08096682,0.7412153],"study_design_scores_gemma":[0.0000109399525,0.000028985874,0.0020995268,0.07481033,0.0006928498,0.00029127186,0.00017076105,0.00013898883,0.00024664745,0.002229434,0.91923,0.000050296912],"about_ca_topic_score_codex":0.0032193076,"about_ca_topic_score_gemma":0.004386452,"teacher_disagreement_score":0.012500985,"about_ca_system_score_codex":0.0013186999,"about_ca_system_score_gemma":0.0045077573,"threshold_uncertainty_score":0.04181993},"labels":[],"label_agreement":null},{"id":"W4407983151","doi":"10.5194/bg-22-1057-2025","title":"Spatial distributions of iron and manganese in surface waters of the Arctic's Laptev and East Siberian seas","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Ministry of Education, Culture, Sports, Science and Technology; Research Institute for Oceanochemistry Foundation; Alberta Agricultural Research Institute","keywords":"Manganese; Arctic; Oceanography; The arctic; Spatial distribution; Environmental science; Geology; Geography; Chemistry; Remote sensing","score_opus":0.006728469074620968,"score_gpt":0.18126584664162695,"score_spread":0.174537377567006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407983151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990645,0.0001217016,0.000020843516,0.000017646546,0.0000029169507,8.583093e-7,0.00039534413,0.0000022929496,0.00037397552],"genre_scores_gemma":[0.999193,0.00007055918,0.000039832874,0.000009269085,0.0000037660586,0.000002720767,0.00049175875,0.0000010150865,0.00018794063],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991405,0.000013142923,0.000009742589,0.00002840006,0.000013617885,0.000021094567],"domain_scores_gemma":[0.9997167,0.000036100722,0.00009143911,0.000014236662,0.0000780062,0.000063482126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023924051,0.00023134449,0.0002681587,0.0009940123,0.00051349227,0.00054115395,0.00017810836,0.00019300364,0.0010893471],"category_scores_gemma":[0.0003083119,0.00012258922,0.000270547,0.0010669058,0.00025148585,0.000230581,0.0006057076,0.00012811516,0.0001680008],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007459941,0.000008699835,0.99384403,0.000024045425,0.000091311456,0.000089966394,0.00040746777,0.00017283639,0.0018319455,0.00004243924,0.00018109092,0.0032316074],"study_design_scores_gemma":[8.939566e-7,0.0000039506917,0.99948514,0.000004337943,0.000005837541,0.0000133259055,0.00023263357,0.00011180972,0.000038518032,0.000006762379,0.00009578452,0.0000010234095],"about_ca_topic_score_codex":0.09772931,"about_ca_topic_score_gemma":0.12631913,"teacher_disagreement_score":0.09772931,"about_ca_system_score_codex":0.0005256575,"about_ca_system_score_gemma":0.0005292216,"threshold_uncertainty_score":0.19432098},"labels":[],"label_agreement":null},{"id":"W4408040107","doi":"10.5194/bg-22-1115-2025","title":"Long-term impacts of global temperature stabilization and overshoot on exploited marine species","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"","keywords":"Term (time); Overshoot (microwave communication); Environmental science; Oceanography; Ecology; Fishery; Climatology; Geology; Biology; Computer science; Physics; Telecommunications","score_opus":0.01134084415068348,"score_gpt":0.23865046245941673,"score_spread":0.22730961830873325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408040107","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979348,0.00007994425,0.0005681339,0.00007940348,0.00001614905,0.0000046142004,0.00027704786,0.000026389227,0.0010134962],"genre_scores_gemma":[0.9995339,0.00003091159,0.00011494451,0.000016176671,0.000001674937,0.0000041058647,0.00016607429,0.0000061343003,0.00012620671],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999273,0.00001715879,0.0000034151824,0.00001821211,0.0000060975062,0.000027757598],"domain_scores_gemma":[0.99978906,0.00007115324,0.00003147986,0.000022764227,0.000026278289,0.00005934975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032162934,0.00045612364,0.00037496217,0.00023256995,0.00038058555,0.000636472,0.00039325832,0.00051513704,0.002040738],"category_scores_gemma":[0.0009088014,0.00016034312,0.0007294161,0.00025948562,0.00043920128,0.0005618786,0.00063574023,0.00047663035,0.00013977582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00056897715,0.00017571125,0.16008113,0.00010506365,0.0003533412,0.000364211,0.000120294666,0.8190612,0.010429185,0.0014821743,0.0010663369,0.006192292],"study_design_scores_gemma":[0.00014634058,0.0007446218,0.24506159,0.000053577194,0.00026823542,0.00017921989,0.0007501818,0.7445506,0.0036714734,0.0021973008,0.00229303,0.000083796396],"about_ca_topic_score_codex":0.013986702,"about_ca_topic_score_gemma":0.009689995,"teacher_disagreement_score":0.013986702,"about_ca_system_score_codex":0.00055066566,"about_ca_system_score_gemma":0.00046895884,"threshold_uncertainty_score":0.027810574},"labels":[],"label_agreement":null},{"id":"W4408190999","doi":"10.5194/bg-22-1257-2025","title":"Clouds influence the functioning of airborne microorganisms","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Université Laval","funders":"Agence Nationale de la Recherche","keywords":"Environmental science; Microorganism; Geology; Bacteria","score_opus":0.007771313396843777,"score_gpt":0.22470561603143235,"score_spread":0.21693430263458857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408190999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717075,0.00065237633,0.00089990854,0.00003314255,0.000016062897,0.00001293318,0.0005095728,0.000015287265,0.00069003087],"genre_scores_gemma":[0.9981236,0.00030254156,0.00062991306,0.000032979184,0.000007921672,0.000008303028,0.00044491448,0.0000075613057,0.00044230337],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998172,0.000016741076,0.000009577327,0.00004881547,0.000047082038,0.0000606743],"domain_scores_gemma":[0.99989724,0.000017782904,0.000033669134,0.000009981054,0.00002045988,0.000020810876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007642297,0.00031594405,0.00019178554,0.00019021353,0.0002678424,0.0004701779,0.000103472754,0.00020818837,0.0006873331],"category_scores_gemma":[0.00013257338,0.00011223014,0.00022761818,0.00019627994,0.00016861594,0.00024453175,0.0003146992,0.0003004098,0.00016373972],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000053087973,0.0000084457715,0.0035648022,0.000027867023,0.000006562448,0.00003170188,0.00002549889,0.000057864905,0.99524504,0.000023086735,0.00001723907,0.000938877],"study_design_scores_gemma":[0.000012021652,0.0002549557,0.22016849,0.000023456627,0.000059544218,0.00018400127,0.0003858019,0.0022836206,0.7743476,0.00013262294,0.002129074,0.000018799208],"about_ca_topic_score_codex":0.0023971708,"about_ca_topic_score_gemma":0.0018929348,"teacher_disagreement_score":0.0023971708,"about_ca_system_score_codex":0.00017624766,"about_ca_system_score_gemma":0.00017062791,"threshold_uncertainty_score":0.0047664642},"labels":[],"label_agreement":null},{"id":"W4408380850","doi":"10.5194/bg-22-1369-2025","title":"Shifts in organic matter character and microbial assemblages from glacial headwaters to downstream reaches in the Canadian Rocky Mountains","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Networks of Centres of Excellence of Canada","keywords":"Glacial period; Organic matter; Character (mathematics); Physical geography; Geology; Ecology; Environmental science; Hydrology (agriculture); Geography; Geomorphology; Biology","score_opus":0.013249195597498173,"score_gpt":0.23555048262518327,"score_spread":0.2223012870276851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408380850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978294,0.0002911631,0.000055027635,0.00005092254,0.0000030328274,0.000009390071,0.0006871545,0.000007043839,0.0010669889],"genre_scores_gemma":[0.99829215,0.00014922247,0.00020793892,0.00005600065,0.0000024588853,0.0000074366358,0.00063251174,0.000005132965,0.0006471276],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996482,0.000016831458,0.000012030644,0.00010006886,0.00009617867,0.00012663926],"domain_scores_gemma":[0.9993789,0.000028673094,0.00010081683,0.000015365746,0.00035024213,0.00012598079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021335697,0.00029177536,0.0003217496,0.0017635773,0.0028522888,0.00096320175,0.0006547484,0.00027004938,0.0011720842],"category_scores_gemma":[0.00064048264,0.0002014933,0.00024231554,0.0021838394,0.0007453202,0.00024293712,0.0006217083,0.0002838479,0.00012797365],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007923057,0.000018596824,0.9763175,0.000052847387,0.00007156227,0.00014896519,0.0030117107,0.00017364633,0.007858517,0.00013321114,0.0007098424,0.011424303],"study_design_scores_gemma":[9.582689e-7,0.0000041805915,0.9987532,0.000006699503,0.0000072514927,0.000011450436,0.0006492112,0.00005886593,0.00009579172,0.000006130339,0.00040315688,0.0000029809974],"about_ca_topic_score_codex":0.98310363,"about_ca_topic_score_gemma":0.9951309,"teacher_disagreement_score":0.016896367,"about_ca_system_score_codex":0.009310342,"about_ca_system_score_gemma":0.009764949,"threshold_uncertainty_score":0.06755161},"labels":[],"label_agreement":null},{"id":"W4408381876","doi":"10.5194/bg-22-1355-2025","title":"Simulating ecosystem carbon dioxide fluxes and their associated influencing factors for a restored peatland","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; McGill University","funders":"Canadian Sphagnum Peat Moss Association; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Peat; Carbon dioxide; Ecosystem; Environmental science; Ecology; Atmospheric sciences; Geology; Biology","score_opus":0.012572460275833263,"score_gpt":0.23312549960364734,"score_spread":0.2205530393278141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408381876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983493,0.000021255875,0.0008174576,0.000013422568,0.0000055235614,0.000012529765,0.00027373648,0.000056321576,0.00045043987],"genre_scores_gemma":[0.9985453,0.000015406406,0.0010277036,0.0000050300796,9.17405e-7,0.000013493079,0.00020279198,0.0000044001567,0.0001849401],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999188,0.000017237766,0.0000055395208,0.000021931304,0.000010022342,0.000026511281],"domain_scores_gemma":[0.9997012,0.000105690415,0.000031618558,0.000034170145,0.00007815912,0.00004914615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037772665,0.0004584953,0.00031592356,0.00023528496,0.0003500149,0.00054305285,0.00063336204,0.0006557466,0.0007050803],"category_scores_gemma":[0.0006116393,0.0002777782,0.000645282,0.0002084607,0.00035245004,0.00028084003,0.0003162053,0.00047202042,0.000073904645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021460287,0.000099453384,0.030382387,0.000030926858,0.000057485042,0.00012114696,0.000031666852,0.96076554,0.005824173,0.00012928239,0.000102499864,0.0022408022],"study_design_scores_gemma":[0.000044578814,0.000115161376,0.018786501,0.0000065994805,0.000034370558,0.000022262331,0.000046907084,0.97752154,0.0030973784,0.000059817627,0.00024863903,0.000016288215],"about_ca_topic_score_codex":0.15848139,"about_ca_topic_score_gemma":0.1411311,"teacher_disagreement_score":0.15848139,"about_ca_system_score_codex":0.0017508051,"about_ca_system_score_gemma":0.0012169494,"threshold_uncertainty_score":0.31511784},"labels":[],"label_agreement":null},{"id":"W4408502980","doi":"10.5194/bg-22-1447-2025","title":"Consistency of global carbon budget between concentration- and emission-driven historical experiments simulated by CMIP6 Earth system models and suggestions for improved simulation of CO <sub>2</sub> concentration","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"Horizon 2020; European Research Council; Ministry of Education, Culture, Sports, Science and Technology; Met Office; Environmental Restoration and Conservation Agency","keywords":"Consistency (knowledge bases); Earth system science; Environmental science; Carbon fibers; Atmospheric sciences; Meteorology; Geology; Computer science; Oceanography; Physics; Algorithm","score_opus":0.010340568679833512,"score_gpt":0.24163386642887832,"score_spread":0.2312932977490448,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408502980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946243,0.00006913174,0.0030699477,0.00013767672,0.000029410174,0.000027328071,0.0010196408,0.0000916233,0.0009310104],"genre_scores_gemma":[0.99732935,0.000021870275,0.0018892711,0.000037167698,0.0000036972212,0.000028996987,0.00062447786,0.0000124023945,0.00005283023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995425,0.00020674549,0.000038281505,0.00013062498,0.000040722633,0.000041239928],"domain_scores_gemma":[0.9982584,0.00088611234,0.00016570726,0.00032148598,0.00029880606,0.00006952555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027167122,0.00045698954,0.00030892596,0.00025430863,0.00025236254,0.00050471415,0.0010212064,0.00074728345,0.0007291402],"category_scores_gemma":[0.0035578469,0.0002553899,0.0006899915,0.00051536196,0.00043001465,0.0007120401,0.00024834325,0.00055273384,0.00007662262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012101709,0.00043647017,0.22617462,0.0001893813,0.0008069026,0.00013999932,0.00007603491,0.7327823,0.025160322,0.0024482065,0.0011651521,0.009410541],"study_design_scores_gemma":[0.0002492159,0.00025539563,0.10817886,0.000019305713,0.00017043983,0.000028362705,0.00010228092,0.8623308,0.026684605,0.000988082,0.00093683286,0.000055875935],"about_ca_topic_score_codex":0.012480134,"about_ca_topic_score_gemma":0.009372624,"teacher_disagreement_score":0.012480134,"about_ca_system_score_codex":0.0012856023,"about_ca_system_score_gemma":0.00052265957,"threshold_uncertainty_score":0.024815023},"labels":[],"label_agreement":null},{"id":"W4409330169","doi":"10.5194/bg-22-1781-2025","title":"Modelling decadal trends and the impact of extreme events on carbon fluxes in a temperate deciduous forest using a terrestrial biosphere model","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Toronto Metropolitan University","funders":"Office of Science; Academy of Finland; U.S. Department of Energy","keywords":"Biosphere; Temperate deciduous forest; Deciduous; Temperate forest; Environmental science; Temperate rainforest; Temperate climate; Biosphere model; Carbon cycle; Carbon flux; Ecology; Climatology; Atmospheric sciences; Geology; Ecosystem; Biology","score_opus":0.026398189493142224,"score_gpt":0.25776419523840216,"score_spread":0.23136600574525995,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409330169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937529,0.00008743164,0.0030957093,0.00017054555,0.000014947594,0.000010768895,0.0009940921,0.0001550114,0.0017186439],"genre_scores_gemma":[0.99797636,0.000041580854,0.0011725617,0.000023229733,0.0000039708957,0.000010821689,0.00044722413,0.000013698486,0.00031064652],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999088,0.000022289156,0.00000586625,0.00003047883,0.000010664592,0.000022017508],"domain_scores_gemma":[0.9997547,0.00009519748,0.000032863434,0.000022174716,0.000052143027,0.000042771797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049809937,0.00052530813,0.00030684308,0.00037323605,0.00051119115,0.00081347785,0.00082919723,0.00078003586,0.0011241672],"category_scores_gemma":[0.00083086727,0.00027689346,0.0006028708,0.00045274722,0.000401509,0.00043936374,0.00032007575,0.000535623,0.000087419256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006905823,0.00004322704,0.026998807,0.000014399596,0.000059502352,0.000054835476,0.000022511174,0.96947116,0.0007735022,0.0005089433,0.00034301882,0.0016410687],"study_design_scores_gemma":[0.000016666627,0.000012598471,0.008003445,0.0000024163216,0.000014186837,0.000007409134,0.000019221481,0.99143445,0.00014125727,0.00013585034,0.00020663776,0.0000058591963],"about_ca_topic_score_codex":0.2990362,"about_ca_topic_score_gemma":0.21938413,"teacher_disagreement_score":0.2990362,"about_ca_system_score_codex":0.002164985,"about_ca_system_score_gemma":0.0015323573,"threshold_uncertainty_score":0.59459126},"labels":[],"label_agreement":null},{"id":"W4409708574","doi":"10.5194/bg-22-1969-2025","title":"The effectiveness of agricultural carbon dioxide removal using the University of Victoria Earth System Climate Model","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Science and Climate Studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Alliance de recherche numérique du Canada; Mitacs; Concordia University; Environment and Climate Change Canada; Microsoft","keywords":"Carbon dioxide; Earth (classical element); Environmental science; Agriculture; Carbon dioxide removal; Carbon dioxide in Earth's atmosphere; Climate change; Earth system science; Environmental engineering; Earth science; Oceanography; Geology; Geography; Chemistry; Archaeology","score_opus":0.010291159759482834,"score_gpt":0.2168388717423518,"score_spread":0.20654771198286898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409708574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97162837,0.0003715333,0.0047361576,0.0006272902,0.000057668716,0.00009214082,0.002545916,0.00018012171,0.019760858],"genre_scores_gemma":[0.9943916,0.0001504291,0.002902127,0.00006193932,0.0000058797386,0.00004249446,0.0009361603,0.00003272819,0.0014767151],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975973,0.000081060345,0.000010761955,0.0000537094,0.00003814892,0.000056593228],"domain_scores_gemma":[0.9993656,0.0002701008,0.000054585413,0.000049631617,0.00016002759,0.0001001493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005659059,0.0007511907,0.0007778017,0.0005454848,0.0010296784,0.0016689973,0.001559405,0.0017836094,0.002108012],"category_scores_gemma":[0.0025471854,0.0005200744,0.001135583,0.0009809092,0.00075712556,0.00091182836,0.0007211359,0.0017183946,0.0002805692],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007331849,0.000041518488,0.0022111004,0.000030831714,0.000032246957,0.00003736388,0.000015740303,0.99531895,0.00036469102,0.0007122957,0.00031914143,0.00084279216],"study_design_scores_gemma":[0.000039935105,0.00003108444,0.0016853047,0.000006949264,0.000014267832,0.000006307952,0.000027668993,0.9971927,0.00020518471,0.0002775477,0.00049903814,0.000014049618],"about_ca_topic_score_codex":0.4102001,"about_ca_topic_score_gemma":0.24405742,"teacher_disagreement_score":0.5897999,"about_ca_system_score_codex":0.0049157906,"about_ca_system_score_gemma":0.0036481025,"threshold_uncertainty_score":0.81562495},"labels":[],"label_agreement":null},{"id":"W4409781292","doi":"10.5194/bg-22-2069-2025","title":"Rising Arctic seas and thawing permafrost: uncovering the carbon cycle impact in a thermokarst lagoon system in the outer Mackenzie Delta, Canada","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Geological Survey of Canada; Natural Resources Canada","funders":"Deutsche Forschungsgemeinschaft; Université du Québec à Rimouski; Bundesministerium für Bildung und Forschung; Deutsche Bundesstiftung Umwelt","keywords":"Thermokarst; Permafrost; Delta; Arctic; Oceanography; Environmental science; Carbon cycle; The arctic; Physical geography; Geology; Climatology; Geography; Ecosystem; Ecology","score_opus":0.016689850941850853,"score_gpt":0.2340295123930998,"score_spread":0.21733966145124894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409781292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992655,0.00008385849,0.000029463079,0.000015297946,0.0000011933207,0.0000060708085,0.00033037466,0.000002251615,0.00026599594],"genre_scores_gemma":[0.99890065,0.00012008625,0.00015671628,0.000024640625,0.0000013990505,0.0000072278103,0.00043558876,0.0000030720594,0.00035055593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998702,0.0000061822398,0.000005831497,0.00003543567,0.000026401727,0.000055929464],"domain_scores_gemma":[0.99970007,0.000014585822,0.000043953645,0.000011244714,0.00012350535,0.00010668006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014007576,0.00037070736,0.00037231384,0.0010992693,0.0018838358,0.0010258767,0.00050680427,0.00026543168,0.000693171],"category_scores_gemma":[0.00023181214,0.00021567514,0.00039286484,0.0019786798,0.00088014326,0.0002514729,0.0006936957,0.00028852778,0.000100060664],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014133526,0.00003619765,0.98343927,0.00004017332,0.000062799074,0.00024006036,0.0015301936,0.00039549227,0.010541609,0.000072151954,0.00014777706,0.003352937],"study_design_scores_gemma":[0.0000017941182,0.00001054491,0.9979948,0.000005976152,0.000011646077,0.000016448055,0.0012448556,0.00027984616,0.00018536966,0.0000068662926,0.00023807905,0.0000037748027],"about_ca_topic_score_codex":0.95960116,"about_ca_topic_score_gemma":0.9836796,"teacher_disagreement_score":0.040398836,"about_ca_system_score_codex":0.007964405,"about_ca_system_score_gemma":0.0062109204,"threshold_uncertainty_score":0.08127344},"labels":[],"label_agreement":null},{"id":"W4410904910","doi":"10.5194/bg-22-2425-2025","title":"Reviews and syntheses: Current perspectives on biosphere research 2024–2025 – eight findings from ecology, sociology, and economics","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Japan Society for the Promotion of Science; Helmholtz-Zentrum für Umweltforschung; Biodiversa+; National Research Foundation of Korea; Svenska Forskningsrådet Formas; National Research Foundation; European Commission","keywords":"Biosphere; Ecology; Sociology; Current (fluid); Social science; Biology; Oceanography; Geology","score_opus":0.04451364977388224,"score_gpt":0.31687121953884895,"score_spread":0.2723575697649667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410904910","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00009844119,0.95931464,0.00033603678,0.017962867,0.017348541,0.00006636807,0.00046418913,0.000044000688,0.0043649785],"genre_scores_gemma":[0.0022737298,0.9758002,0.0014698571,0.010371113,0.007055364,0.00038582415,0.00067114795,0.000048465816,0.0019242757],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98631954,0.0057409196,0.0030162584,0.0010415766,0.0031323186,0.00074952154],"domain_scores_gemma":[0.9193323,0.0550349,0.007598083,0.0032625203,0.013182503,0.0015895993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018808518,0.0024184415,0.004209701,0.018795907,0.001621228,0.011464948,0.002629257,0.0063322843,0.04277543],"category_scores_gemma":[0.07500747,0.0010504954,0.0031315144,0.02820722,0.0027508999,0.009502466,0.0048669577,0.005592916,0.011544457],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023927384,0.00007554564,0.0003786082,0.23610364,0.0008295424,0.00023744791,0.0012397699,0.0005392955,0.0005807275,0.040598564,0.45067072,0.26850685],"study_design_scores_gemma":[0.000020719845,0.000021418335,0.0005057763,0.17903058,0.00031888238,0.00008477323,0.0005992422,0.00005158209,0.000072145776,0.008270473,0.81099755,0.000026818023],"about_ca_topic_score_codex":0.005953981,"about_ca_topic_score_gemma":0.00842231,"teacher_disagreement_score":0.04277543,"about_ca_system_score_codex":0.008926309,"about_ca_system_score_gemma":0.022998115,"threshold_uncertainty_score":0.14309806},"labels":[],"label_agreement":null},{"id":"W4411040572","doi":"10.5194/bg-22-2517-2025","title":"Sea-ice-associated algae and zooplankton fecal pellets fuel organic particle export in the seasonally ice-covered northwestern Labrador Sea","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Isotope Analysis in Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Memorial University of Newfoundland; Fisheries and Oceans Canada; Université Laval; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; ArcticNet; Université Laval","keywords":"Zooplankton; Oceanography; Pellets; Algae; Environmental science; Sea ice; Geology; Ecology; Biology","score_opus":0.008525092250909163,"score_gpt":0.22547326561830366,"score_spread":0.2169481733673945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411040572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990753,0.000098529265,0.000032377393,0.000013337869,0.0000024705137,0.0000016631532,0.0005236904,0.000006623688,0.00024597425],"genre_scores_gemma":[0.9984882,0.000102458005,0.00012893329,0.000018086792,0.000004604249,0.00000389467,0.0009177469,0.0000048101647,0.00033124286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991155,0.0000065338104,0.000011159557,0.000028007753,0.000014741324,0.000027964701],"domain_scores_gemma":[0.9998307,0.000009320765,0.00009057524,0.0000071143813,0.000035329267,0.000026974025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001315984,0.0003977667,0.00020959631,0.0006271504,0.0003744349,0.0006199373,0.0002329994,0.00013737075,0.0007071448],"category_scores_gemma":[0.00016141968,0.00014912317,0.00026696257,0.0006980384,0.00020102065,0.00032475925,0.00034627935,0.00016271546,0.0001875156],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013017553,0.000026849331,0.9859292,0.000039988143,0.000055631674,0.000150657,0.00019072437,0.0002300913,0.0076672346,0.000017363654,0.00021395672,0.0053481637],"study_design_scores_gemma":[0.0000014083053,0.000013294858,0.9988649,0.0000054757256,0.00001353616,0.00001686681,0.00022745038,0.00021812925,0.0004609645,0.0000034056409,0.00017297342,0.0000016091037],"about_ca_topic_score_codex":0.073701814,"about_ca_topic_score_gemma":0.15007515,"teacher_disagreement_score":0.9262982,"about_ca_system_score_codex":0.00072623,"about_ca_system_score_gemma":0.00061607134,"threshold_uncertainty_score":0.14654559},"labels":[],"label_agreement":null},{"id":"W4411699979","doi":"10.5194/bg-23-3777-2026","title":"Addition of brackish water to tundra soils does not inhibit methane production: implications for Arctic coastal methane production","year":2025,"lang":"en","type":"preprint","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université Laval; Geological Survey of Canada; Université du Québec à Rimouski","funders":"Natural Resources Canada; Université du Québec à Rimouski; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Tundra; Brackish water; Methane; Production (economics); Soil water; Environmental science; Arctic; The arctic; Oceanography; Ecology; Soil science; Geology; Salinity; Economics; Biology","score_opus":0.06050738004926627,"score_gpt":0.2936336956421811,"score_spread":0.23312631559291486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411699979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983955,0.0002939724,0.00012369874,0.000065632164,0.000009996543,0.000008881076,0.00042341877,0.0000148284325,0.0006639697],"genre_scores_gemma":[0.99766016,0.0002576219,0.0005115841,0.00008803923,0.0000029645169,0.000009696871,0.0004935055,0.000010930782,0.00096545403],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99981016,0.000027928687,0.000016776776,0.000053082593,0.00003727621,0.0000547975],"domain_scores_gemma":[0.9995788,0.000059893177,0.00007316665,0.000026575612,0.00011070628,0.0001508851],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013821058,0.00027751562,0.00031701336,0.00018683207,0.0005116167,0.0007623589,0.00033503154,0.00025572442,0.0011610488],"category_scores_gemma":[0.00037406728,0.00011507144,0.00024394889,0.0002954147,0.00039081599,0.00022568107,0.00028000347,0.0002690335,0.00013238552],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010530457,0.000134318,0.01368474,0.00013891357,0.00004773989,0.00012066259,0.00009256623,0.00033290792,0.97807866,0.000051196475,0.00014692545,0.0061183386],"study_design_scores_gemma":[0.00004994383,0.002145667,0.40597638,0.000048683283,0.00012211216,0.00019520604,0.0013788776,0.0029297096,0.58093435,0.00016155571,0.006013768,0.000043846696],"about_ca_topic_score_codex":0.11947174,"about_ca_topic_score_gemma":0.1886737,"teacher_disagreement_score":0.11947174,"about_ca_system_score_codex":0.0013521848,"about_ca_system_score_gemma":0.001353084,"threshold_uncertainty_score":0.23755264},"labels":[],"label_agreement":null},{"id":"W4413354296","doi":"10.5194/bg-23-2503-2026","title":"Ecological and environmental controls on plant wax production and stable isotope fractionation in modern terrestrial Arctic vegetation","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Geological Society of America; National Science Foundation","keywords":"Vegetation (pathology); Terrestrial plant; Wax; Fractionation; Ecology; Arctic; Environmental science; Stable isotope ratio; Arctic vegetation; Oceanography; Biology; Chemistry; Tundra; Geology","score_opus":0.01611439696703616,"score_gpt":0.22415908052105485,"score_spread":0.2080446835540187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413354296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995757,0.00006792677,0.000059510327,0.0000032353182,5.1376304e-7,5.999309e-7,0.00010961847,0.0000020632963,0.00018091241],"genre_scores_gemma":[0.99955934,0.00004141463,0.00011299032,0.0000028602867,8.8888464e-7,0.0000011195845,0.00019315668,0.000002138604,0.00008611825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998671,0.000019506324,0.000007933156,0.00004168924,0.000028775768,0.000035014946],"domain_scores_gemma":[0.99954385,0.00006897505,0.00011424142,0.000029404639,0.00014890969,0.000094573625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034648424,0.00020410134,0.00017312731,0.0010102695,0.00064547756,0.00047955246,0.00016294974,0.00012470353,0.0004702951],"category_scores_gemma":[0.00043779076,0.00018229759,0.00014609711,0.00080781954,0.00040382709,0.0001603026,0.00025337006,0.00011786186,0.000059697428],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002497799,0.000016193324,0.95498693,0.000023829332,0.0001234689,0.000061796614,0.00062327884,0.00059700763,0.037781782,0.00013797944,0.000066749104,0.0053312145],"study_design_scores_gemma":[4.4738061e-7,0.0000046247674,0.99959177,9.010452e-7,0.000003707729,0.000010352177,0.00007365122,0.00010683924,0.00013347164,0.000008954382,0.00006368775,0.0000016424057],"about_ca_topic_score_codex":0.22097088,"about_ca_topic_score_gemma":0.487723,"teacher_disagreement_score":0.22097088,"about_ca_system_score_codex":0.001410951,"about_ca_system_score_gemma":0.00065150287,"threshold_uncertainty_score":0.43936938},"labels":[],"label_agreement":null},{"id":"W4414126965","doi":"10.5194/bg-22-4545-2025","title":"The microbiome of the Arctic planktonic foraminifera <i>Neogloboquadrina pachyderma</i> is composed of fermenting and carbohydrate-degrading bacteria and an intracellular diatom chloroplast store","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Microbial Community Ecology and Physiology","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"MacEwan University","funders":"Carnegie Trust for the Universities of Scotland; Natural Sciences and Engineering Research Council of Canada; Marine Alliance for Science and Technology for Scotland","keywords":"Diatom; Plankton; Arctic; Microbiome; Phytoplankton; Water column; Foraminifera","score_opus":0.0069547571311702186,"score_gpt":0.21870371503033428,"score_spread":0.21174895789916406,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414126965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985947,0.00024770809,0.000107398606,0.000015675323,0.0000021176625,0.000004965298,0.00051086437,0.0000041989106,0.000512265],"genre_scores_gemma":[0.9970721,0.0004034673,0.00088803493,0.00002773261,0.000004110034,0.000009419183,0.001061341,0.0000027598462,0.0005309558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998894,0.000008069993,0.0000067135365,0.00004423533,0.000029376368,0.000022348917],"domain_scores_gemma":[0.9999213,0.000007633812,0.000029041808,0.0000041022417,0.000017629938,0.000020250218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100447745,0.00031488464,0.00018475023,0.0005818368,0.0007073605,0.0006080339,0.0001119486,0.00020285539,0.0007512398],"category_scores_gemma":[0.00015327144,0.00012340552,0.00012488346,0.0006094821,0.00027146374,0.00025509443,0.0003856189,0.00012759859,0.00015619132],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024260764,0.000042288226,0.53802055,0.0001550867,0.000069311456,0.0002301603,0.0016041306,0.00022006946,0.43598267,0.000095738695,0.00022026441,0.023117067],"study_design_scores_gemma":[0.0000015306588,0.000058336547,0.99276143,0.000010829011,0.000019336438,0.00021883208,0.0005270406,0.00017313601,0.004909922,0.000013032032,0.0013027492,0.000003863512],"about_ca_topic_score_codex":0.019547466,"about_ca_topic_score_gemma":0.034224845,"teacher_disagreement_score":0.019547466,"about_ca_system_score_codex":0.0002552027,"about_ca_system_score_gemma":0.00030938635,"threshold_uncertainty_score":0.038867354},"labels":[],"label_agreement":null},{"id":"W4414453389","doi":"10.5194/bg-23-2909-2026","title":"Imprint of eutrophication on methane-cycling microbes in freshwater sediment","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Eidgenössische Anstalt für Wasserversorgung Abwasserreinigung und Gewässerschutz; Université de Lausanne; University of Utah","keywords":"Eutrophication; Benthic zone; Methanomicrobiales; Sediment; Organic matter; Water column; Anaerobic oxidation of methane; Methanogenesis; Archaea","score_opus":0.010463520694885852,"score_gpt":0.24632948794439583,"score_spread":0.23586596724950998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414453389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938655,0.0001131036,0.000066410896,0.000006718203,6.040492e-7,0.0000011303134,0.00021441093,0.0000056101,0.00020549048],"genre_scores_gemma":[0.9993736,0.000051104857,0.00011545249,0.0000066815173,0.0000013839957,0.0000032781227,0.00023446752,0.0000021133321,0.00021193348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999144,0.000015949769,0.0000060327675,0.000028648457,0.000015028616,0.000019852385],"domain_scores_gemma":[0.99973553,0.00004480851,0.00009612857,0.000015204179,0.00005669428,0.00005153868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015976928,0.00019958444,0.0001702861,0.0007418568,0.00026875123,0.00033423174,0.00009785882,0.0002014322,0.000776435],"category_scores_gemma":[0.00030351724,0.00015135335,0.00012193925,0.0004300417,0.0002693841,0.00024513144,0.0004573026,0.00009756484,0.00017059635],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046989537,0.000022407066,0.58780503,0.00007358824,0.000052438787,0.00022987608,0.00039309633,0.0003259149,0.402499,0.000070202244,0.00008289425,0.00797568],"study_design_scores_gemma":[6.169917e-7,0.000025168987,0.99811375,0.0000014827705,0.0000036167603,0.000024760187,0.00003789423,0.00008120048,0.0016044917,0.000010603964,0.00009485207,0.0000016686919],"about_ca_topic_score_codex":0.0033838893,"about_ca_topic_score_gemma":0.0060630194,"teacher_disagreement_score":0.0033838893,"about_ca_system_score_codex":0.0003069879,"about_ca_system_score_gemma":0.0001579963,"threshold_uncertainty_score":0.006728351},"labels":[],"label_agreement":null},{"id":"W4414598449","doi":"10.5194/bg-11-4853-2014","title":"Impact of river discharge, upwelling and vertical mixing on the nutrient loading and productivity of the Canadian Beaufort Shelf","year":2014,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and environmental studies","field":"Earth and Planetary Sciences","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université Laval; Center for Northern Studies","funders":"Institut national des sciences de l'Univers; Centre National d’Etudes Spatiales; European Space Agency; ArcticNet; Agence Nationale de la Recherche; Centre National de la Recherche Scientifique","keywords":"Upwelling; Phytoplankton; Nitrate; Dissolved organic carbon; Particulates; Redfield ratio; New production; Plankton; Colored dissolved organic matter; Chlorophyll a","score_opus":0.013282707961771844,"score_gpt":0.19594170972252595,"score_spread":0.1826590017607541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414598449","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99689263,0.00023394567,0.000044869612,0.00010529624,0.000004250725,0.0000055172013,0.0010477591,0.0000095320065,0.0016563087],"genre_scores_gemma":[0.9982804,0.000112119844,0.000115507704,0.00003909575,0.000002133022,0.0000039599004,0.0005582449,0.0000047431963,0.0008837178],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965787,0.000029708115,0.000012028947,0.000054922344,0.00015376303,0.00009177451],"domain_scores_gemma":[0.99910563,0.0000731164,0.00014368634,0.0000307489,0.00045214724,0.00019476315],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002929564,0.0003098805,0.00023228717,0.0008238606,0.00162464,0.0010503383,0.0004939641,0.0002543057,0.001448294],"category_scores_gemma":[0.0008441021,0.0002132449,0.00034025073,0.0012924839,0.0005345899,0.00026524978,0.0005259519,0.00022439325,0.00013389744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019709485,0.00001474521,0.9851479,0.000024069046,0.00010401721,0.000149062,0.0005814883,0.0007506225,0.004158913,0.00014134755,0.00080124295,0.007929639],"study_design_scores_gemma":[9.2847904e-7,0.000005781307,0.9990421,0.000002569105,0.000005605397,0.00000912584,0.00015165498,0.00019524264,0.00010742777,0.0000048750253,0.00047084136,0.0000038848893],"about_ca_topic_score_codex":0.98797345,"about_ca_topic_score_gemma":0.9952544,"teacher_disagreement_score":0.017851548,"about_ca_system_score_codex":0.017851548,"about_ca_system_score_gemma":0.009289409,"threshold_uncertainty_score":0.12952262},"labels":[],"label_agreement":null},{"id":"W4414612817","doi":"10.5194/bg-22-5103-2025","title":"From small-scale variability to mesoscale stability in surface ocean pH: implications for air–sea CO <sub>2</sub> equilibration","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa; Memorial University of Newfoundland","funders":"Bundesministerium für Bildung und Forschung; Sorbonne Université; Universiteit Utrecht","keywords":"Seawater; Abiotic component; Mesoscale meteorology; Carbonate; Optode; Sea surface temperature; Ocean acidification; Surface water","score_opus":0.022036552880524474,"score_gpt":0.25707376668736787,"score_spread":0.2350372138068434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414612817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98804665,0.0010092144,0.003233938,0.0012825944,0.00008414271,0.000023041872,0.001357781,0.00009714257,0.0048655826],"genre_scores_gemma":[0.99917895,0.00011110231,0.00023767696,0.00007177356,0.000013727634,0.0000072662724,0.00021676136,0.000015520876,0.00014723903],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998498,0.00002103979,0.0000121810435,0.00007238229,0.000020992351,0.000023619696],"domain_scores_gemma":[0.9995053,0.00012911929,0.00015369925,0.000055134726,0.00010426535,0.000052469324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055194495,0.00034644926,0.00029548627,0.00032017677,0.00045111708,0.0010794372,0.0003552108,0.00041207252,0.002464071],"category_scores_gemma":[0.0010510285,0.00027351975,0.00031000638,0.00051394495,0.00071028306,0.0010492917,0.00066990126,0.00054614263,0.0002625951],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051866693,0.00008260874,0.8266204,0.00022855408,0.00043139924,0.00052368065,0.00032259012,0.0073160324,0.13470593,0.0020683892,0.0020069063,0.025174787],"study_design_scores_gemma":[0.0000075803487,0.000026984562,0.98618317,0.000010364943,0.000028389935,0.000032482054,0.00017528179,0.008223017,0.003549018,0.0007933318,0.0009563341,0.000014095553],"about_ca_topic_score_codex":0.02034805,"about_ca_topic_score_gemma":0.014080921,"teacher_disagreement_score":0.02034805,"about_ca_system_score_codex":0.0009227542,"about_ca_system_score_gemma":0.00050209975,"threshold_uncertainty_score":0.040459216},"labels":[],"label_agreement":null},{"id":"W4414616614","doi":"10.5194/bg-22-5031-2025","title":"Snow thermal conductivity controls future winter carbon emissions in shrub–tundra","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Environment Research Council; UK Research and Innovation; Northumbria University","keywords":"Snow; Permafrost; Downscaling; Arctic; Greenhouse gas; Climate change; Climate model; Growing season","score_opus":0.026975322253259174,"score_gpt":0.25687442391924087,"score_spread":0.2298991016659817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414616614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840754,0.000098570614,0.00041836852,0.00006315531,0.000009785106,0.0000025411623,0.0003510478,0.00003538944,0.0006135914],"genre_scores_gemma":[0.99943155,0.000024866215,0.00011328573,0.000015880943,0.0000019973486,0.0000020482937,0.00026313736,0.000008963549,0.0001383515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998099,0.000047184087,0.000013240496,0.0000651817,0.000017319428,0.000047267047],"domain_scores_gemma":[0.9997625,0.000053567084,0.00004699145,0.000026405254,0.000059819005,0.000050764153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004003509,0.000417852,0.0003158218,0.00027978705,0.00041994924,0.0010562314,0.00046271758,0.0004694687,0.0016898079],"category_scores_gemma":[0.00067737984,0.00023633064,0.00077691907,0.00033821297,0.00040044574,0.0005390676,0.00052946334,0.0003481008,0.00028838942],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007476734,0.00017402317,0.68815136,0.000106276624,0.00066874427,0.0003704374,0.0001792711,0.22391005,0.07407191,0.0012951891,0.0010622642,0.009262851],"study_design_scores_gemma":[0.00006324772,0.00010351709,0.69097483,0.000016996726,0.00016053543,0.00010622023,0.00029556695,0.29879162,0.0072322465,0.000911083,0.0012982485,0.00004595125],"about_ca_topic_score_codex":0.07410201,"about_ca_topic_score_gemma":0.042996854,"teacher_disagreement_score":0.07410201,"about_ca_system_score_codex":0.0015813961,"about_ca_system_score_gemma":0.0007403094,"threshold_uncertainty_score":0.14734137},"labels":[],"label_agreement":null},{"id":"W4414744973","doi":"10.5194/bg-22-5257-2025","title":"Photosynthetic electron, carbon, and oxygen fluxes within a mosaic of Fe limitation in the California Current upwelling system","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"University of Washington; Research Corporation for Science Advancement; National Science Foundation","keywords":"Upwelling; Photosynthesis; Phytoplankton; Productivity; Biogeochemical cycle; Carbon fixation; Primary production; Trichodesmium; Irradiance; Biogeochemistry","score_opus":0.010677955231815035,"score_gpt":0.20886286417979955,"score_spread":0.19818490894798452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414744973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904484,0.00011532934,0.000027932816,0.000014421428,0.0000014158815,0.0000026033354,0.00012012489,0.0000036749693,0.0006696949],"genre_scores_gemma":[0.9993432,0.00007746592,0.00010363397,0.00001204527,0.0000017561258,0.000003575861,0.00021610403,0.0000014586451,0.00024065212],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999892,0.0000060833167,0.000004842468,0.000047074063,0.000025738851,0.00002421548],"domain_scores_gemma":[0.9997458,0.000019149787,0.000070896764,0.000013868204,0.00009609198,0.000054209137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015825231,0.00023374593,0.00022028203,0.0008482368,0.00066945,0.0005704062,0.0002619452,0.00019714498,0.0006582528],"category_scores_gemma":[0.0003330774,0.00018420054,0.00016303305,0.0005754914,0.00031102268,0.00025181865,0.0003833305,0.00022040117,0.00006951926],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019526422,0.00005692151,0.96817905,0.00004630043,0.00009703992,0.00011063542,0.0007133826,0.00045508664,0.02117183,0.00008391156,0.00029185961,0.008598667],"study_design_scores_gemma":[0.0000019867875,0.0000062542417,0.99949527,0.0000028789889,0.000008294679,0.0000069549687,0.00012164068,0.00013275258,0.00010418071,0.000005738859,0.0001125442,0.0000014080495],"about_ca_topic_score_codex":0.31481105,"about_ca_topic_score_gemma":0.5143701,"teacher_disagreement_score":0.31481105,"about_ca_system_score_codex":0.0017884134,"about_ca_system_score_gemma":0.0006057076,"threshold_uncertainty_score":0.62595725},"labels":[],"label_agreement":null},{"id":"W4414833966","doi":"10.5194/bg-23-2761-2026","title":"Spatial heterogeneity of soil organic matter and microbial community composition across ice-wedge polygons and soil layers in Arctic lowland tundra","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Horizon 2020 Framework Programme; European Commission; Aurora Research Institute","keywords":"Permafrost; Tundra; Soil organic matter; Organic matter; Arctic; Microbial population biology; Soil carbon; Soil water; Subsoil; Polygon (computer graphics)","score_opus":0.025133988441397276,"score_gpt":0.2560003149971843,"score_spread":0.230866326555787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414833966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999553,0.00006541756,0.00011138234,0.0000032187802,6.3425915e-7,0.0000015183315,0.00015387629,0.00000292577,0.00010808485],"genre_scores_gemma":[0.99946254,0.000032891763,0.00015611149,0.0000037699856,0.0000012895023,0.0000029795665,0.00030055,0.000001730198,0.00003813692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997192,0.000060889717,0.000025376416,0.00010486952,0.000038559658,0.00005100604],"domain_scores_gemma":[0.9994549,0.00012002426,0.00021338563,0.000048310474,0.000097406475,0.00006588244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038250242,0.00020687033,0.0003368831,0.0013563579,0.00048919057,0.00095877075,0.00024684353,0.0001756881,0.0004271863],"category_scores_gemma":[0.0006752654,0.00017326917,0.00031224944,0.001419397,0.0005433537,0.00032093804,0.00060658716,0.000106739775,0.00008585652],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011017719,0.000014617467,0.98864937,0.000028457784,0.00013358613,0.00007775671,0.0004718003,0.0007050671,0.006276133,0.0000469433,0.00004335505,0.0034427126],"study_design_scores_gemma":[8.9842604e-7,0.000006995231,0.998809,0.0000032669288,0.000014230384,0.000026390035,0.00033306648,0.0005861372,0.00012803462,0.000012685732,0.00007753682,0.0000019034431],"about_ca_topic_score_codex":0.045806516,"about_ca_topic_score_gemma":0.06307757,"teacher_disagreement_score":0.045806516,"about_ca_system_score_codex":0.0005778119,"about_ca_system_score_gemma":0.000364851,"threshold_uncertainty_score":0.09107983},"labels":[],"label_agreement":null},{"id":"W4415000205","doi":"10.5194/bg-22-5413-2025","title":"Temporal patterns of greenhouse gas emissions from two small thermokarst lakes in Nunavik, Canada","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Institut National de la Recherche Scientifique; Université Laval; Center for Northern Studies","funders":"Sentinelle Nord, Université Laval; Natural Sciences and Engineering Research Council of Canada; Université Laval","keywords":"Thermokarst; Greenhouse gas; Flux (metallurgy); Daytime; Diel vertical migration; Seasonality","score_opus":0.03126705042328767,"score_gpt":0.24009916825753533,"score_spread":0.20883211783424765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415000205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972115,0.00016301795,0.00014278358,0.00004217476,0.000004816497,0.000025726267,0.0013290965,0.000012986448,0.0010677774],"genre_scores_gemma":[0.99764097,0.00008453748,0.00034172178,0.000029934103,0.0000021372944,0.000028779825,0.001032281,0.000008232075,0.00083144935],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969625,0.000017936934,0.000013384168,0.00010663083,0.00006931787,0.000096535536],"domain_scores_gemma":[0.9992449,0.00005451031,0.0000744461,0.000024715499,0.00045041143,0.00015104197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000270731,0.0004186961,0.00039848327,0.001026364,0.0020299407,0.0010880932,0.000777145,0.00034709804,0.00086737826],"category_scores_gemma":[0.00048325193,0.00034715777,0.0003528185,0.0015536856,0.0007689181,0.00031125912,0.0009999151,0.0003525473,0.00013033372],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027327074,0.000043957993,0.97964704,0.00006466073,0.00009889748,0.00023052713,0.002781034,0.0005742807,0.010846676,0.00009319549,0.00052185904,0.0048244125],"study_design_scores_gemma":[0.00000650896,0.00001170073,0.9965485,0.000013375404,0.000018612192,0.000030516001,0.0016768781,0.000595071,0.0004305302,0.0000104293695,0.0006449728,0.000013021527],"about_ca_topic_score_codex":0.9729403,"about_ca_topic_score_gemma":0.9918629,"teacher_disagreement_score":0.027059674,"about_ca_system_score_codex":0.013610603,"about_ca_system_score_gemma":0.0079541765,"threshold_uncertainty_score":0.09875226},"labels":[],"label_agreement":null},{"id":"W4415209351","doi":"10.5194/bg-22-5573-2025","title":"Human activities caused hypoxia expansion in a large eutrophic estuary: non-negligible role of riverine suspended sediments","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); National Natural Science Foundation of China","keywords":"Eutrophication; Hypoxia (environmental); Nutrient; Estuary; Sediment; Phosphorus; Hydrology (agriculture)","score_opus":0.008533401285947838,"score_gpt":0.22453365918547138,"score_spread":0.21600025789952354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415209351","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935323,0.000040971063,0.00020193685,0.00001706466,0.0000025694637,0.0000031568857,0.00008017661,0.000008513632,0.0002923356],"genre_scores_gemma":[0.99956113,0.0000449207,0.00014376227,0.000006789078,0.0000016670767,0.0000033513281,0.00008367254,0.00000138567,0.00015325117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993396,0.000011140666,0.000005487397,0.000026434098,0.000012363599,0.0000106042935],"domain_scores_gemma":[0.9999043,0.000012132873,0.000030196807,0.000008415601,0.000022648048,0.000022414992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000138116,0.00020142221,0.00016358148,0.00022063561,0.00022916887,0.00040077892,0.0001791263,0.00016451314,0.0006216852],"category_scores_gemma":[0.00013919725,0.000106435466,0.00032760302,0.00028986,0.0002985946,0.00021416898,0.0004005139,0.00014603835,0.00005123424],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029025172,0.00017972467,0.85255367,0.00013533907,0.0001581099,0.0011216243,0.0003894958,0.01160123,0.12063991,0.00031867303,0.00030631613,0.012305688],"study_design_scores_gemma":[0.000010968647,0.00019312093,0.9767677,0.000005272228,0.00004650714,0.00014395503,0.0004719735,0.013403991,0.008091107,0.00013737424,0.00071514474,0.0000129630835],"about_ca_topic_score_codex":0.009672773,"about_ca_topic_score_gemma":0.015759734,"teacher_disagreement_score":0.009672773,"about_ca_system_score_codex":0.00050696876,"about_ca_system_score_gemma":0.0004988803,"threshold_uncertainty_score":0.019232929},"labels":[],"label_agreement":null},{"id":"W4415348456","doi":"10.5194/bg-22-5591-2025","title":"Mercury contamination in staple crops impacted by artisanal and small-scale gold mining (ASGM): stable Hg isotopes demonstrate dominance of atmospheric uptake pathway for Hg in crops","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; University of Toronto; Geological Survey of Canada","funders":"IAMGOLD; Queen's University","keywords":"Mercury (programming language); Biogeochemical cycle; Contamination; Isotope; Gold mining; Elemental mercury; Crop; Dominance (genetics)","score_opus":0.011701553146940625,"score_gpt":0.24329271881372078,"score_spread":0.23159116566678015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415348456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996966,0.000023196591,0.000056929646,0.000003387116,4.2820568e-7,0.0000014182759,0.000033603712,0.0000013496216,0.00018308089],"genre_scores_gemma":[0.9993475,0.000053688887,0.00018396838,0.000007995369,3.9550002e-7,0.0000024749302,0.000057352674,0.0000014330395,0.0003451747],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999434,0.000004983953,0.0000031510715,0.000020868478,0.000014505965,0.000013146479],"domain_scores_gemma":[0.99992025,0.000011885214,0.0000315726,0.000005161321,0.000020385909,0.000010766127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00006456911,0.00019301688,0.00014308307,0.00032731428,0.00038677768,0.00031114905,0.00014623704,0.00027422555,0.0006393605],"category_scores_gemma":[0.00009562623,0.00011857826,0.00009341011,0.00031378152,0.00023127414,0.00017195266,0.00023688558,0.00013288471,0.00012639887],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029475012,0.00005858634,0.7020453,0.00008393971,0.000028518985,0.0013865702,0.001318101,0.00018827413,0.28632846,0.00006229357,0.000069331574,0.008135879],"study_design_scores_gemma":[0.0000021300452,0.0001376633,0.98228204,0.000007109555,0.000012410215,0.00045269998,0.0016098969,0.0002581938,0.014800194,0.000049962062,0.00038429623,0.0000034030556],"about_ca_topic_score_codex":0.0070439936,"about_ca_topic_score_gemma":0.01924443,"teacher_disagreement_score":0.0070439936,"about_ca_system_score_codex":0.00026617342,"about_ca_system_score_gemma":0.0001891259,"threshold_uncertainty_score":0.014005959},"labels":[],"label_agreement":null},{"id":"W4415349397","doi":"10.5194/bg-22-5665-2025","title":"Geographic patterns of upward shifts in treeline vegetation across western North America, 1984–2017","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Transect; Elevation (ballistics); Vegetation (pathology); Latitude; Temperate climate; Temperate rainforest; Spatial ecology; Climate change","score_opus":0.01880525965193092,"score_gpt":0.27108730632243244,"score_spread":0.2522820466705015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415349397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963654,0.00037677668,0.00007625872,0.00007063563,0.0000093134295,0.000005228617,0.0017039509,0.000011055963,0.0013813532],"genre_scores_gemma":[0.9961312,0.00029257932,0.00021490057,0.000026763777,0.0000114812565,0.000013844734,0.0023272787,0.000005489489,0.00097643794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998889,0.000014100334,0.000008879257,0.00003593634,0.000027494394,0.00002471247],"domain_scores_gemma":[0.9993981,0.00004509049,0.00020175226,0.000027060269,0.00023569174,0.00009238372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021356456,0.00013288218,0.00013641929,0.0011533496,0.0005263125,0.00042205924,0.00023535182,0.00014376001,0.0010807177],"category_scores_gemma":[0.00034370835,0.000105515865,0.00013352539,0.0019128332,0.0003744024,0.00029898202,0.00040113443,0.00024534797,0.00019963147],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000088350724,0.000023207394,0.9820509,0.00008743032,0.00006464814,0.0001791548,0.0035370016,0.00014463128,0.002844254,0.000121513076,0.0017241503,0.009134748],"study_design_scores_gemma":[4.4501593e-7,0.0000029551827,0.9985998,0.0000054062716,0.000002815475,0.000012643572,0.0005851552,0.000032899778,0.00004670292,0.0000056793074,0.0007043079,0.0000011480544],"about_ca_topic_score_codex":0.27949795,"about_ca_topic_score_gemma":0.6498406,"teacher_disagreement_score":0.27949795,"about_ca_system_score_codex":0.0009765476,"about_ca_system_score_gemma":0.00073948695,"threshold_uncertainty_score":0.55574214},"labels":[],"label_agreement":null},{"id":"W4415358972","doi":"10.5194/bg-22-5705-2025","title":"Species-specific relationships between net primary productivity and forest age for subtropical China","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Forest ecology and management","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"Pinus massoniana; Cunninghamia; Subtropics; Primary production; Tropical and subtropical moist broadleaf forests; Forest ecology; Forest management; Biomass (ecology); Productivity; Eucalyptus","score_opus":0.024969275710375386,"score_gpt":0.22908191534500508,"score_spread":0.2041126396346297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415358972","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991911,0.00004558481,0.0002801151,0.000010928904,0.0000011070788,0.0000017724184,0.00025249642,0.000012360024,0.00020465732],"genre_scores_gemma":[0.9993949,0.000025586514,0.00017175198,0.000004403119,8.27118e-7,0.0000023618463,0.0003384275,0.0000018556032,0.000059939295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999286,0.0000113832075,0.0000061687483,0.000026843754,0.000011634464,0.000015236192],"domain_scores_gemma":[0.9997743,0.00004768307,0.000044326305,0.000029605197,0.00006903776,0.000035090685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044365658,0.00035668915,0.00018641888,0.0008022151,0.00022206674,0.00030742548,0.0002511753,0.0001693061,0.0006622195],"category_scores_gemma":[0.0005394485,0.0001415534,0.0004688232,0.00084408565,0.00014341855,0.00041068095,0.00028106343,0.00013569198,0.00007637197],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043881028,0.0000205866,0.9653391,0.00003165295,0.000106020525,0.00010493795,0.00009067439,0.023458555,0.0029542132,0.00020281754,0.0001905031,0.007457026],"study_design_scores_gemma":[0.00000516203,0.0000139342255,0.9414359,0.0000033768647,0.00003396957,0.00003424671,0.00007175109,0.05761647,0.00043046384,0.00012559332,0.00022015882,0.000008982817],"about_ca_topic_score_codex":0.04572885,"about_ca_topic_score_gemma":0.0630628,"teacher_disagreement_score":0.04572885,"about_ca_system_score_codex":0.00072306825,"about_ca_system_score_gemma":0.00047454704,"threshold_uncertainty_score":0.090925395},"labels":[],"label_agreement":null},{"id":"W4415385704","doi":"10.5194/bg-22-5771-2025","title":"Preservation and degradation of ancient organic matter in mid-Miocene Antarctic permafrost","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Victoria University; Victoria University of Wellington; Ministry of Science and Innovation, New Zealand; New Zealand Antarctic Research Institute; University of Ottawa","keywords":"Permafrost; Total organic carbon; Tundra; Organic matter; Soil water; Thermokarst; Phytol; Ecosystem","score_opus":0.01233915983011091,"score_gpt":0.24984947047948397,"score_spread":0.23751031064937306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415385704","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99832326,0.00042437794,0.00006409328,0.000021035958,0.0000030637493,0.000003465854,0.00049835624,0.0000071835875,0.0006551547],"genre_scores_gemma":[0.9983802,0.00029570135,0.00015172688,0.000031714335,0.000007900091,0.000008095879,0.00069790846,0.0000072386024,0.0004194765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999269,0.0000060293232,0.0000062328345,0.00002408268,0.000016752227,0.000019951176],"domain_scores_gemma":[0.9998777,0.000012867505,0.000041098177,0.000008519886,0.00003664094,0.00002317735],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014855334,0.00041563818,0.00032301954,0.0015105553,0.00092601374,0.0008434364,0.00031594074,0.0004486059,0.0012253842],"category_scores_gemma":[0.00017639126,0.00020353329,0.00023469368,0.0011483168,0.000473343,0.0003642126,0.00043263353,0.00025116905,0.0004098596],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038307984,0.00003795497,0.77695626,0.00019863877,0.00017987736,0.0009164834,0.0012033164,0.0005479723,0.2058431,0.000111623136,0.00019754157,0.013424087],"study_design_scores_gemma":[0.0000015309167,0.000019020024,0.99722856,0.000005853981,0.000010523889,0.00013147718,0.00029817602,0.00013032384,0.0016059531,0.000016120577,0.00054900657,0.0000033889517],"about_ca_topic_score_codex":0.015688922,"about_ca_topic_score_gemma":0.020450927,"teacher_disagreement_score":0.015688922,"about_ca_system_score_codex":0.00068125775,"about_ca_system_score_gemma":0.00035941988,"threshold_uncertainty_score":0.031195223},"labels":[],"label_agreement":null},{"id":"W4415418636","doi":"10.5194/bg-22-5877-2025","title":"Zinc stimulation of phytoplankton in a low-carbon-dioxide, coastal Antarctic environment: evidence for the Zn hypothesis","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kellogg's (Canada)","funders":"National Institutes of Health; National Science Foundation","keywords":"Phytoplankton; Biomass (ecology); Primary producers; Nutrient; Micronutrient; Biogeochemical cycle; Carbon fibers; Zinc; Chlorophyll a","score_opus":0.027584094917200024,"score_gpt":0.23079799944594792,"score_spread":0.2032139045287479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415418636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955705,0.0014046025,0.0005103387,0.00037119578,0.000028822415,0.000012490101,0.0003123246,0.000017402881,0.0017723105],"genre_scores_gemma":[0.9979085,0.00070157234,0.000440425,0.00012224424,0.0000181982,0.000009194639,0.00016392663,0.0000042262254,0.00063184486],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99989283,0.000017328433,0.000012080617,0.000029569062,0.000026809816,0.000021461561],"domain_scores_gemma":[0.9996846,0.00005704075,0.00007933036,0.000034798184,0.00008054598,0.000063724896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019474293,0.0003903515,0.00028871212,0.00038916344,0.00054614374,0.00046729195,0.00037065079,0.00035175585,0.00089475245],"category_scores_gemma":[0.00025297084,0.00014536314,0.00022789961,0.00032095335,0.0008649065,0.00027401306,0.0006917756,0.00023768515,0.00016688669],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011039921,0.000065138236,0.18638466,0.0005590487,0.00012348294,0.0013447575,0.00044478473,0.0003857703,0.8009865,0.000503182,0.00041215066,0.0076865074],"study_design_scores_gemma":[0.00003718622,0.00038642203,0.9430891,0.000033939836,0.00007901325,0.0005777166,0.0011827451,0.0010461322,0.049594477,0.0006790917,0.0032767092,0.000017429209],"about_ca_topic_score_codex":0.0055640675,"about_ca_topic_score_gemma":0.0083384905,"teacher_disagreement_score":0.0055640675,"about_ca_system_score_codex":0.00040583793,"about_ca_system_score_gemma":0.00052789866,"threshold_uncertainty_score":0.011063337},"labels":[],"label_agreement":null},{"id":"W4415989979","doi":"10.5194/bg-22-6583-2025","title":"Marine heatwaves deeply alter marine food web structure and function","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Fisheries and Oceans Canada","funders":"Social Sciences and Humanities Research Council; Région Bretagne; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Biomass (ecology); Trophic level; Food web; Ecosystem; Marine ecosystem; Primary producers; Latitude; Primary production; Ecosystem model","score_opus":0.008662441734434253,"score_gpt":0.22523676469454104,"score_spread":0.21657432296010679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415989979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996637,0.000045745557,0.0014719738,0.00008657667,0.000020170466,0.000007273163,0.00037191532,0.00004563632,0.0013136988],"genre_scores_gemma":[0.99919015,0.000044777702,0.0003310382,0.000025146752,0.0000026797684,0.0000047079775,0.00016612154,0.000008409719,0.00022700925],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99992967,0.000019220939,0.0000054055263,0.000016304279,0.00000823534,0.000021233398],"domain_scores_gemma":[0.9998869,0.00003876902,0.000024534282,0.000010730834,0.000016455475,0.000022644455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020402935,0.00039437952,0.00017136685,0.00019343436,0.000258817,0.000704546,0.0002477213,0.00054406625,0.0013791373],"category_scores_gemma":[0.000610732,0.00024348135,0.0007781368,0.00019721004,0.00025769026,0.00052001566,0.00037940152,0.00036369805,0.00011733436],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015631,0.0001758594,0.23553914,0.000057251527,0.0004278393,0.00023867273,0.00008325806,0.7431218,0.012886626,0.0009741646,0.0009398002,0.0053992304],"study_design_scores_gemma":[0.000046804904,0.00012863649,0.18966861,0.000016486461,0.00008464046,0.000051132403,0.00014619902,0.8070276,0.0014064269,0.0007345858,0.00066261436,0.000026213836],"about_ca_topic_score_codex":0.02702311,"about_ca_topic_score_gemma":0.018929603,"teacher_disagreement_score":0.02702311,"about_ca_system_score_codex":0.0007779911,"about_ca_system_score_gemma":0.00040781096,"threshold_uncertainty_score":0.05373162},"labels":[],"label_agreement":null},{"id":"W4416096815","doi":"10.5194/bg-22-6651-2025","title":"Fire activity in the northern Arctic tundra now exceeds late Holocene levels, driven by increasing dryness and shrub expansion","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Narodowym Centrum Nauki; Deutsche Forschungsgemeinschaft","keywords":"Tundra; Peat; Permafrost; Arctic; Fire regime; Vegetation (pathology); Climate change; Ecosystem; Arctic ecology","score_opus":0.030890363067505092,"score_gpt":0.2483362351138709,"score_spread":0.2174458720463658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416096815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985228,0.00028690023,0.00025990861,0.00003323538,0.000005411389,8.2388834e-7,0.00035477808,0.000016163098,0.0005200011],"genre_scores_gemma":[0.9992755,0.0001410153,0.00014314585,0.000010563871,0.000003818227,0.0000010847971,0.00030857997,0.0000027225021,0.00011358401],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999144,0.000010586605,0.0000073805977,0.000032673353,0.000015822901,0.000019052999],"domain_scores_gemma":[0.99974984,0.000028540535,0.000092167415,0.000029848075,0.000054937773,0.000044743643],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040461993,0.00016071077,0.00014874995,0.00062358944,0.00044734168,0.0007570732,0.00014660186,0.00016220489,0.0006819447],"category_scores_gemma":[0.0006248596,0.00010461119,0.00019382207,0.0007258319,0.00019597363,0.00032169037,0.00028613274,0.00021407813,0.00011190336],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000052319545,0.000013550411,0.9798678,0.000032567743,0.00008287273,0.000107814536,0.00016420246,0.0016717669,0.0046588695,0.00014969836,0.00019863457,0.012999794],"study_design_scores_gemma":[0.0000010129917,0.000006399588,0.9972518,0.000010989154,0.000015192637,0.00007367613,0.00012328914,0.001435832,0.0003368894,0.00004496753,0.000696582,0.0000034734976],"about_ca_topic_score_codex":0.090650134,"about_ca_topic_score_gemma":0.20129581,"teacher_disagreement_score":0.090650134,"about_ca_system_score_codex":0.00068763323,"about_ca_system_score_gemma":0.0004871684,"threshold_uncertainty_score":0.18024498},"labels":[],"label_agreement":null},{"id":"W4416128653","doi":"10.5194/bg-22-6695-2025","title":"Reviews and syntheses: Artisanal and small-scale gold mining (ASGM)-derived mercury contamination in agricultural systems: what we know and need to know","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Mercury impact and mitigation studies","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University; Geological Survey of Canada","funders":"IAMGOLD; School of Graduate Studies, Queen's University; Queen's University","keywords":"Mercury (programming language); Methylmercury; Agriculture; Gold mining; Bioaccumulation; Biogeochemical cycle; Food chain; Contamination","score_opus":0.02220751254397629,"score_gpt":0.2578289927104747,"score_spread":0.23562148016649842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416128653","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00007837995,0.99591607,0.00012616743,0.0011482227,0.0013900792,0.0000090018075,0.00013925192,0.000014004827,0.0011788907],"genre_scores_gemma":[0.00068534154,0.9964813,0.0001922648,0.001020289,0.0008645013,0.000020648818,0.00012858961,0.000008539964,0.0005984871],"study_design_codex":"design_other","study_design_gemma":"systematic_review","domain_scores_codex":[0.9987367,0.00027317335,0.00027969762,0.0002364362,0.00037049674,0.00010360169],"domain_scores_gemma":[0.99071723,0.0059844377,0.0010499669,0.00033052478,0.0016263835,0.00029147245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018191783,0.0014644406,0.0022121756,0.005900414,0.00057088514,0.0032186117,0.0013610265,0.002033753,0.012342829],"category_scores_gemma":[0.008185625,0.0005372454,0.0014688673,0.008111918,0.0009989572,0.0032266253,0.0014813148,0.0026428755,0.0036152918],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014788739,0.00006513089,0.0002527578,0.26716498,0.0005317849,0.00023525504,0.0007327065,0.0005602334,0.0019730376,0.011456024,0.18565398,0.53122616],"study_design_scores_gemma":[0.000008809792,0.000036223464,0.00055866566,0.038278565,0.00035703045,0.0002252664,0.00019766433,0.000044377848,0.00025209758,0.0019985847,0.958018,0.000024574032],"about_ca_topic_score_codex":0.0039742873,"about_ca_topic_score_gemma":0.005052886,"teacher_disagreement_score":0.012342829,"about_ca_system_score_codex":0.0018213278,"about_ca_system_score_gemma":0.0058353725,"threshold_uncertainty_score":0.04129094},"labels":[],"label_agreement":null},{"id":"W4416192210","doi":"10.5194/bg-22-6749-2025","title":"Deltaic burial of authigenic calcite modulates the carbon balance of hardwater lakes","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Université de Lausanne; Université de Genève; Eidgenössische Technische Hochschule Zürich; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; École Polytechnique Fédérale de Lausanne; Université Savoie Mont Blanc","keywords":"Calcite; Authigenic; Total organic carbon; Carbon cycle; Dissolved organic carbon; Carbon fibers; Total inorganic carbon; Radiocarbon dating; Sediment","score_opus":0.008543134154436046,"score_gpt":0.20213649463362174,"score_spread":0.19359336047918568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416192210","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99977225,0.000027609973,0.000014623551,0.000006303027,4.2332564e-7,6.514512e-7,0.000037945218,0.0000025763184,0.0001375867],"genre_scores_gemma":[0.9997483,0.000018962379,0.00001979368,0.000008279128,9.82473e-7,0.0000015047751,0.000050428273,0.0000023423686,0.0001494079],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999534,0.000007650382,0.0000036684114,0.000015019458,0.000007670889,0.00001255956],"domain_scores_gemma":[0.99982375,0.000025107855,0.00006362403,0.000012178195,0.000028932853,0.000046393838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009317588,0.00014896215,0.0001664706,0.0004095009,0.00028104708,0.0006231287,0.00013203632,0.00019615813,0.0009375307],"category_scores_gemma":[0.00028408723,0.00018348865,0.000106265,0.00028112237,0.00033452277,0.0002848825,0.0004228538,0.00011521033,0.00013077329],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038172994,0.000037675447,0.81545156,0.0000445401,0.00007830461,0.00018204666,0.0009060295,0.00029651306,0.17720814,0.0001131255,0.00019236616,0.005108043],"study_design_scores_gemma":[0.000002625953,0.000013475656,0.99897397,0.0000011085358,0.000005415321,0.000010765698,0.000099168,0.00018887335,0.0005979176,0.000012669532,0.00009211723,0.0000018322477],"about_ca_topic_score_codex":0.010458569,"about_ca_topic_score_gemma":0.020450393,"teacher_disagreement_score":0.010458569,"about_ca_system_score_codex":0.00032536944,"about_ca_system_score_gemma":0.00020968726,"threshold_uncertainty_score":0.020795345},"labels":[],"label_agreement":null},{"id":"W4416231949","doi":"10.5194/bg-22-6811-2025","title":"The significant role of snow in shaping alpine treeline responses in modelled boreal forests","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Snow; Taiga; Boreal; Climate change; Snowmelt; Vegetation (pathology); Precipitation; Northern Hemisphere; Permafrost","score_opus":0.025081954622082903,"score_gpt":0.2630048489941295,"score_spread":0.2379228943720466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416231949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769753,0.00004581058,0.0009885305,0.0000241657,0.0000081243315,0.0000067315186,0.0005078839,0.00007611384,0.0006450446],"genre_scores_gemma":[0.99899274,0.000017645596,0.00051796046,0.0000069322464,0.000001915847,0.000008376875,0.00033492182,0.000012057237,0.00010742943],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999002,0.000026819453,0.000006474074,0.000032948872,0.000008668045,0.000024921212],"domain_scores_gemma":[0.99975306,0.000109353896,0.000030175053,0.000021823025,0.00004563194,0.00003996238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035159694,0.00042868243,0.0002669076,0.0002795316,0.0003923869,0.0006215865,0.0006570836,0.00051073794,0.0010774093],"category_scores_gemma":[0.00059648574,0.00021646643,0.0005942542,0.00027307626,0.0002927199,0.00031914184,0.00022985293,0.00033472123,0.00010421115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001789166,0.00013506686,0.16979402,0.00007482576,0.00011066802,0.00010950561,0.00014829454,0.8174825,0.0067622666,0.0004119636,0.00043851483,0.004353457],"study_design_scores_gemma":[0.00006347869,0.000092499075,0.098628595,0.000018312241,0.000047936064,0.000042042564,0.00014869479,0.8991152,0.000972573,0.00021765941,0.0006199298,0.000033124576],"about_ca_topic_score_codex":0.08574858,"about_ca_topic_score_gemma":0.07852102,"teacher_disagreement_score":0.08574858,"about_ca_system_score_codex":0.0006560376,"about_ca_system_score_gemma":0.00075049384,"threshold_uncertainty_score":0.17049897},"labels":[],"label_agreement":null},{"id":"W4416237428","doi":"10.5194/bg-22-6765-2025","title":"A <i>δ</i> <sup>11</sup> B-pH calibration for the high-latitude foraminifera species <i>Neogloboquadrina pachyderma</i> and <i>Neogloboquadrina incompta</i>","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Research Ireland; H2020 Marie Skłodowska-Curie Actions; Deutsche Forschungsgemeinschaft; Marine Institute","keywords":"Foraminifera; Seawater; Hydrography; Arctic; Calibration; Temperate climate","score_opus":0.017829802499330576,"score_gpt":0.243400698888642,"score_spread":0.2255708963893114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416237428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98336583,0.00037610615,0.008621455,0.000049604198,0.00002084776,0.000012418862,0.0009983575,0.00026203206,0.006293249],"genre_scores_gemma":[0.9931779,0.000089757195,0.0055936086,0.000023880815,0.0000034828704,0.000012535757,0.00059562677,0.00003410716,0.00046906923],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998722,0.000012645034,0.0000089211235,0.00005233055,0.000044309767,0.000009467767],"domain_scores_gemma":[0.99967444,0.000046747293,0.00009582066,0.000056225617,0.00010398408,0.000022759576],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026192624,0.0003644768,0.00012828581,0.0007950125,0.00030720048,0.0003863171,0.00041585558,0.00031286807,0.0019784218],"category_scores_gemma":[0.0007167582,0.00018229168,0.00015629694,0.0005266665,0.0002581639,0.00029381172,0.00051507785,0.00029048303,0.00074837275],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032803137,0.00003698582,0.6956045,0.00020672359,0.00012303941,0.00021353461,0.00049216417,0.0050538485,0.22018346,0.0004403971,0.0011717946,0.07614551],"study_design_scores_gemma":[0.000014001806,0.00008479047,0.88084614,0.00004834958,0.00006159461,0.0005785288,0.00047623372,0.019652378,0.09180007,0.00039592374,0.0060166917,0.000025400293],"about_ca_topic_score_codex":0.0041178726,"about_ca_topic_score_gemma":0.009344026,"teacher_disagreement_score":0.0041178726,"about_ca_system_score_codex":0.0003101802,"about_ca_system_score_gemma":0.00012646096,"threshold_uncertainty_score":0.00818783},"labels":[],"label_agreement":null},{"id":"W4416337428","doi":"10.5194/bg-23-2959-2026","title":"PeatDepth-ML: A Global Map of Peat Depth Predicted using Machine Learning","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Peat; Bootstrapping (finance); Metric (unit); Climate change; Sampling (signal processing); Mean squared error; Training (meteorology); Global change","score_opus":0.012409408905219455,"score_gpt":0.253794289120823,"score_spread":0.24138488021560356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416337428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8005155,0.0010735114,0.083928026,0.00060883415,0.00022090059,0.000116719144,0.08556369,0.019111386,0.008861472],"genre_scores_gemma":[0.9106929,0.00021413091,0.052610792,0.00005946064,0.00003637891,0.00008467559,0.03482492,0.0004035669,0.0010732149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998416,0.00003191683,0.000007647769,0.000056936817,0.000037088488,0.000024848105],"domain_scores_gemma":[0.9995074,0.00017059021,0.00006762527,0.000060575327,0.00015378285,0.000039870953],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084101,0.00076764566,0.00034282624,0.0017906271,0.0001690825,0.00052805967,0.0004952937,0.00053130806,0.0026095083],"category_scores_gemma":[0.0015672438,0.0001798415,0.0006607862,0.0011526714,0.00020328058,0.0006680924,0.0006059186,0.00047205327,0.0008180607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005411196,0.00020506789,0.12517951,0.00047821036,0.000399805,0.00056112773,0.00019023736,0.73118174,0.009955561,0.0017589307,0.021371774,0.10817693],"study_design_scores_gemma":[0.00005758638,0.000091983995,0.067580156,0.00009629797,0.000058030397,0.00008966128,0.00011414734,0.9151554,0.005318348,0.0016031367,0.009774577,0.000060689956],"about_ca_topic_score_codex":0.01916873,"about_ca_topic_score_gemma":0.018485334,"teacher_disagreement_score":0.01916873,"about_ca_system_score_codex":0.00053104607,"about_ca_system_score_gemma":0.00066144083,"threshold_uncertainty_score":0.03811431},"labels":[],"label_agreement":null},{"id":"W4416403081","doi":"10.5194/bg-22-6895-2025","title":"Balancing water column and sedimentary <sup>234</sup> Th fluxes to quantify coastal marine carbon export","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Water column; Flux (metallurgy); Sedimentary rock; Total organic carbon; Sediment; Hydrology (agriculture); Particulates; Carbon fibers","score_opus":0.007996987112566505,"score_gpt":0.2033230256962465,"score_spread":0.19532603858368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416403081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731475,0.000116637915,0.0015587818,0.000010846771,0.0000046378436,0.00000754833,0.0004364934,0.000022709903,0.0005274649],"genre_scores_gemma":[0.9960407,0.00008249831,0.0027757704,0.00003065723,0.0000037038005,0.000016849202,0.00057249446,0.000015170424,0.0004621173],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998907,0.0000074542572,0.0000075423345,0.000051614563,0.000029073673,0.000013667058],"domain_scores_gemma":[0.9998568,0.000027136794,0.000042571297,0.000014031591,0.00004752864,0.000011876982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020197955,0.0002922598,0.00019658374,0.00035722496,0.00033490954,0.00048788943,0.00019917211,0.00022570603,0.00075129844],"category_scores_gemma":[0.00027779595,0.00012339152,0.00015229725,0.00033605087,0.00022838403,0.0003244111,0.00024324979,0.00016851725,0.00015477429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021690154,0.000041013995,0.65008944,0.00009718103,0.00015125988,0.0001360627,0.00019711007,0.001842727,0.32618013,0.00013628621,0.00023392761,0.020677911],"study_design_scores_gemma":[0.000006082422,0.00007482296,0.9502324,0.000006639471,0.0000359541,0.00006207467,0.00013777714,0.0072605605,0.040956065,0.00006308354,0.0011543351,0.0000103325665],"about_ca_topic_score_codex":0.025626522,"about_ca_topic_score_gemma":0.080687694,"teacher_disagreement_score":0.025626522,"about_ca_system_score_codex":0.0005804465,"about_ca_system_score_gemma":0.00031275803,"threshold_uncertainty_score":0.0509547},"labels":[],"label_agreement":null},{"id":"W4416466464","doi":"10.5194/bg-22-7079-2025","title":"Evidence for highly variable land use but a stable climate in the southwest Maya lowlands","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Archaeology and ancient environmental studies","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"","keywords":"Mesoamerica; Land use; Population; Climate change; Maya; Before Present; Land cover; Land use, land-use change and forestry","score_opus":0.042370384369119586,"score_gpt":0.24617177733898435,"score_spread":0.20380139296986477,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416466464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991066,0.00006802348,0.000053049487,0.000075981625,0.0000032051355,0.0000021313901,0.00024213901,0.000005956201,0.00044292965],"genre_scores_gemma":[0.99944085,0.000041781896,0.00009872148,0.000043088014,0.0000070057404,0.0000031605334,0.00024282344,0.0000025104544,0.00012001228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985135,0.000028348248,0.000011045648,0.0000495529,0.000027297781,0.000032333],"domain_scores_gemma":[0.99904996,0.00009735086,0.00039964507,0.00007111834,0.0001754551,0.00020640885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000406207,0.00016195205,0.00023419857,0.0011281515,0.00062756357,0.000936071,0.0003955271,0.00022940127,0.0013452427],"category_scores_gemma":[0.00064334675,0.00016685201,0.0001757449,0.001158287,0.0008782867,0.00041148587,0.0005819943,0.0002107293,0.00019120165],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106964275,0.000029109906,0.9881662,0.00003275619,0.000066153225,0.00019210122,0.0011913666,0.00008176995,0.0063391984,0.0001289013,0.0002560801,0.0034093582],"study_design_scores_gemma":[0.0000020808588,0.000009077461,0.9988777,0.0000043670007,0.000008089199,0.000028123386,0.000545985,0.00009266165,0.00011631889,0.000021156877,0.00029230912,0.0000021252638],"about_ca_topic_score_codex":0.06493799,"about_ca_topic_score_gemma":0.14941187,"teacher_disagreement_score":0.06493799,"about_ca_system_score_codex":0.0009552876,"about_ca_system_score_gemma":0.0006162123,"threshold_uncertainty_score":0.12911999},"labels":[],"label_agreement":null},{"id":"W4416593608","doi":"10.5194/bg-22-7167-2025","title":"A normalised framework for the Zero Emissions Commitment","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Natural Environment Research Council","keywords":"Radiative forcing; Carbon sink; Radiative transfer; Greenhouse gas; Sink (geography); Carbon fibers; Climate model; Carbon cycle; Forcing (mathematics)","score_opus":0.03132918707669915,"score_gpt":0.296080768983826,"score_spread":0.2647515819071269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416593608","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023255905,0.0013415372,0.8224186,0.0062593687,0.00062328344,0.00012247957,0.00081426644,0.00025236612,0.14491227],"genre_scores_gemma":[0.8461743,0.00089154125,0.1241049,0.0008598138,0.00040899758,0.00049490575,0.000514358,0.0003169906,0.026234105],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99434054,0.0035230967,0.00016404221,0.0008438958,0.0007373647,0.00039100408],"domain_scores_gemma":[0.99574065,0.0022548868,0.000435653,0.00056812604,0.00064935134,0.00035146915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006376065,0.0015229862,0.0009964273,0.0012045084,0.0013972018,0.0046082004,0.002960417,0.0023821725,0.01723108],"category_scores_gemma":[0.012769812,0.00052087166,0.0015152602,0.0014560851,0.005791251,0.006308784,0.003816348,0.004789893,0.0013942749],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009606621,0.000007983308,0.00007079787,0.00001633105,0.0000073359697,0.00002833864,0.00004668096,0.033040766,0.00006508759,0.9637285,0.00068543124,0.0022931304],"study_design_scores_gemma":[0.000007937729,0.000017097489,0.00007795756,0.000022091617,0.0000035116227,0.000018804063,0.00003662847,0.06395776,0.00004763996,0.93117124,0.004626331,0.000013023902],"about_ca_topic_score_codex":0.0051314305,"about_ca_topic_score_gemma":0.0039148885,"teacher_disagreement_score":0.01723108,"about_ca_system_score_codex":0.0045452486,"about_ca_system_score_gemma":0.002845747,"threshold_uncertainty_score":0.05764371},"labels":[],"label_agreement":null},{"id":"W4416697875","doi":"10.5194/bg-22-3931-2025","title":"Hot-spring inputs and climate drive dynamic shifts in archaeal communities in Lake Magadi, Kenya Rift Valley","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Aquatic Ecosystems and Biodiversity","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Division of Behavioral and Cognitive Sciences; Division of Earth Sciences; University of Minnesota; National Science Foundation","keywords":"δ13C; Methane; Hydrothermal circulation; Methanogenesis; Sedimentary rock; Organic matter; Isotopes of carbon; Climate change; Rift","score_opus":0.010620852214246733,"score_gpt":0.22199166715351865,"score_spread":0.2113708149392719,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416697875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994936,0.0000898447,0.000020706517,0.000016423752,7.105329e-7,0.0000020222635,0.00013457224,0.0000018147899,0.00024032299],"genre_scores_gemma":[0.9996393,0.00005569871,0.000059782556,0.00001277749,0.0000011322652,0.000004462073,0.00012103468,0.0000010665007,0.00010468907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999136,0.000012872827,0.000006275318,0.000027056903,0.0000125131155,0.000027668628],"domain_scores_gemma":[0.99987686,0.000015561473,0.000045156077,0.0000048336838,0.000028440905,0.000029082588],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012827237,0.00021807192,0.00016838168,0.0007006604,0.0007538505,0.0005113632,0.00019804838,0.00032065023,0.0012146501],"category_scores_gemma":[0.00028280145,0.0002466055,0.0001126165,0.0008388894,0.00049876235,0.00041930578,0.0005244241,0.00017487502,0.00017672828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019908625,0.000038545044,0.9255291,0.000119854834,0.00007431254,0.0004187672,0.003049397,0.0002217279,0.06413948,0.000102965445,0.00016774994,0.005939195],"study_design_scores_gemma":[0.0000026601529,0.00001159285,0.99843043,0.000005917989,0.000007285466,0.00003762684,0.0008559077,0.00008201513,0.00036485898,0.000011087777,0.00018771751,0.0000029423427],"about_ca_topic_score_codex":0.032941755,"about_ca_topic_score_gemma":0.094027705,"teacher_disagreement_score":0.032941755,"about_ca_system_score_codex":0.0007359764,"about_ca_system_score_gemma":0.00054546533,"threshold_uncertainty_score":0.06550002},"labels":[],"label_agreement":null},{"id":"W4416769674","doi":"10.5194/bg-22-7309-2025","title":"Water property variability into a semi-enclosed sea dominated by dynamics, modulated by properties","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Compute Canada","keywords":"Biogeochemical cycle; Inflow; Biogeochemistry; Flux (metallurgy); Predictability; Water mass; Climate change; Nitrate","score_opus":0.005006776175661627,"score_gpt":0.18139983898504267,"score_spread":0.17639306280938105,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416769674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991297,0.000020388745,0.0004478894,0.000020839172,0.0000025064103,0.0000019581062,0.00016700545,0.000014251035,0.00019543881],"genre_scores_gemma":[0.9996762,0.000010267391,0.000116120376,0.00000596872,0.0000021063372,0.0000013280397,0.0001465313,0.000002892606,0.00003848159],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994314,0.0000072566163,0.00000554803,0.00002622255,0.000008289285,0.00000945705],"domain_scores_gemma":[0.9998363,0.000028996252,0.000058754467,0.000021158206,0.000027206124,0.000027526874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014643128,0.00021415569,0.00017402534,0.00033315772,0.00022463966,0.00051101943,0.00020788012,0.00015782811,0.0005534579],"category_scores_gemma":[0.0004107534,0.00013987755,0.0004924839,0.00042741647,0.0004210847,0.00046298123,0.0005991074,0.00018667377,0.000049524173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033574324,0.00007336626,0.913011,0.00006914836,0.00041709832,0.00033199647,0.00058858615,0.021056218,0.05233876,0.0011990765,0.00041210867,0.010166885],"study_design_scores_gemma":[0.000011035842,0.000049792725,0.9624804,0.0000071951163,0.0000399865,0.000030767937,0.00017600773,0.035870012,0.00067485694,0.00032912786,0.00031707145,0.000013858545],"about_ca_topic_score_codex":0.023138216,"about_ca_topic_score_gemma":0.018045602,"teacher_disagreement_score":0.023138216,"about_ca_system_score_codex":0.0005495771,"about_ca_system_score_gemma":0.00034088062,"threshold_uncertainty_score":0.046007097},"labels":[],"label_agreement":null},{"id":"W4417182253","doi":"10.5194/bg-22-7901-2025","title":"The evolution of methane production rates from young to mature thermokarst lakes","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"H2020 European Research Council; Natural Sciences and Engineering Research Council of Canada; Horizon 2020 Framework Programme; Israel Science Foundation; National Science Foundation","keywords":"Thermokarst; Permafrost; Methane; Carbon dioxide; Total organic carbon; Sediment; Carbon fibers; Hydrology (agriculture)","score_opus":0.020535332095598907,"score_gpt":0.2500894618622787,"score_spread":0.2295541297666798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417182253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99958366,0.000040674593,0.00004121151,0.0000024392004,4.3854487e-7,8.560929e-7,0.00016690583,0.0000038785306,0.00015982181],"genre_scores_gemma":[0.99945706,0.000023224253,0.000087708795,0.000003819289,9.735736e-7,0.0000026464577,0.00022349153,0.0000017073002,0.00019930139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999547,0.0000034181598,0.0000032222301,0.000020743193,0.000007800048,0.000010200206],"domain_scores_gemma":[0.999742,0.00004226118,0.00007805661,0.000012193724,0.00006645352,0.00005902061],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011549356,0.00016395518,0.00010654636,0.00052496,0.0002512965,0.00047366033,0.00013541861,0.00018498483,0.0006317797],"category_scores_gemma":[0.0002518556,0.0001678807,0.00012865149,0.0003063453,0.00018877134,0.00033367044,0.00028674142,0.0001514443,0.0001443149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045305822,0.00002389164,0.8344636,0.000035562538,0.000056218247,0.00011431703,0.00082784565,0.0006794425,0.1570541,0.000118386226,0.00008826711,0.0060853045],"study_design_scores_gemma":[0.0000017212304,0.00003240586,0.9966947,0.0000015679441,0.0000063732828,0.000025529433,0.00014260224,0.00040010954,0.0025320933,0.000015840023,0.00014427204,0.0000028890577],"about_ca_topic_score_codex":0.00495207,"about_ca_topic_score_gemma":0.009324291,"teacher_disagreement_score":0.00495207,"about_ca_system_score_codex":0.0003662116,"about_ca_system_score_gemma":0.00012858059,"threshold_uncertainty_score":0.0098465085},"labels":[],"label_agreement":null},{"id":"W7082633238","doi":"10.5194/bg-22-4797-2025","title":"Peatland development reconstruction and complex biological responses to permafrost thawing in Western Siberia","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Szkola Glówna Gospodarstwa Wiejskiego w Warszawie; Narodowym Centrum Nauki; Eidgenössische Technische Hochschule Zürich; Horizon 2020; Université du Québec à Montréal","keywords":"Peat; Permafrost; Thermokarst; Aggradation; Plateau (mathematics); Sphagnum; Bog; Testate amoebae; Ecosystem","score_opus":0.04467013603367858,"score_gpt":0.2739117769206378,"score_spread":0.2292416408869592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082633238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99965847,0.000060082974,0.00005198692,0.000008301716,8.6730216e-7,9.98789e-7,0.00008314001,0.0000026998675,0.00013341157],"genre_scores_gemma":[0.99973077,0.000023326851,0.00004561952,0.0000052798305,8.99371e-7,0.0000015538344,0.00014136563,9.678083e-7,0.000050139664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999013,0.000021282991,0.0000113491315,0.000027631451,0.0000105963145,0.000027842618],"domain_scores_gemma":[0.9998235,0.000031553504,0.00004880214,0.000020274552,0.000030970186,0.000045003977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038648487,0.00024416926,0.00027368567,0.0011473792,0.00054924306,0.0005870602,0.00018043116,0.00023260631,0.0010155191],"category_scores_gemma":[0.00035090212,0.00014101331,0.0003446775,0.0008702472,0.00029937364,0.00030589438,0.00049658306,0.00015403432,0.00009643601],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000772477,0.000029254423,0.9860714,0.000022430144,0.00008774833,0.00025775298,0.00032629553,0.0011487213,0.005781281,0.000054131888,0.000057298523,0.0060863867],"study_design_scores_gemma":[6.5579184e-7,0.000004827454,0.99890065,0.0000026309663,0.0000068975482,0.000018724551,0.0001453386,0.0007805235,0.00008161096,0.000012435577,0.000044155782,0.0000014027084],"about_ca_topic_score_codex":0.029811235,"about_ca_topic_score_gemma":0.05035825,"teacher_disagreement_score":0.029811235,"about_ca_system_score_codex":0.00063875143,"about_ca_system_score_gemma":0.0004452598,"threshold_uncertainty_score":0.05927545},"labels":[],"label_agreement":null},{"id":"W7082634368","doi":"10.5194/bg-22-4823-2025","title":"Can atmospheric chemistry deposition schemes reliably simulate stomatal ozone flux across global land covers and climates?","year":2025,"lang":"en","type":"article","venue":"Biogeosciences","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Deutsche Forschungsgemeinschaft","keywords":"Ozone; Tropospheric ozone; Stomatal conductance; Land cover; Vegetation (pathology); Flux (metallurgy); Deposition (geology); Troposphere; Canopy conductance","score_opus":0.006226905933449742,"score_gpt":0.24347452864263855,"score_spread":0.2372476227091888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7082634368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9639838,0.00058354397,0.029228624,0.00047553782,0.00007158677,0.00005462456,0.0021518164,0.00044991833,0.0030005428],"genre_scores_gemma":[0.99366546,0.0001659694,0.005364797,0.00003816255,0.000009692747,0.000015629887,0.0005475201,0.000028521106,0.00016424053],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978894,0.00006951869,0.000017187465,0.00006783774,0.00003510087,0.000021409045],"domain_scores_gemma":[0.99958867,0.00011773897,0.00007545578,0.000096691074,0.000090958376,0.000030530067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008838392,0.0004985361,0.00039228384,0.00028765597,0.00025938987,0.00079688063,0.0008759004,0.0007279425,0.0005059128],"category_scores_gemma":[0.0014840071,0.00028033816,0.00070638204,0.0005110803,0.0002561124,0.0009832985,0.00041742838,0.00040780375,0.0001550687],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010285074,0.00012393905,0.15755202,0.00011513247,0.0003769217,0.000066632674,0.00007694663,0.8177269,0.006864277,0.0014199306,0.0007731482,0.014801359],"study_design_scores_gemma":[0.000051813866,0.000050303657,0.049596347,0.000021363847,0.000062751606,0.000024066725,0.00006326893,0.9446881,0.0026716592,0.001286005,0.0014574354,0.000026954842],"about_ca_topic_score_codex":0.03280661,"about_ca_topic_score_gemma":0.026914107,"teacher_disagreement_score":0.03280661,"about_ca_system_score_codex":0.0008384487,"about_ca_system_score_gemma":0.00083424046,"threshold_uncertainty_score":0.06523132},"labels":[],"label_agreement":null}]}