{"meta":{"query_hash":"de382ff8c245","filters":{"venue":"Earth system science data"},"cohort_total":249,"direct_labels_cover":0,"predictions_cover":249,"exported":249,"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/de382ff8c245","api":"https://metacan.xera.ac/api/v1/cohort?venue=Earth+system+science+data"},"results":[{"id":"W1689299797","doi":"10.5194/essd-7-223-2015","title":"Biogeography of key mesozooplankton species in the North Atlantic and egg production of <i>Calanus finmarchicus</i>","year":2015,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"European Commission","keywords":"Calanus finmarchicus; Oceanography; Calanus; Zooplankton; Biogeography; Environmental science; Crustacean; Ecology; Biology; Geology; Copepod","score_opus":0.04111987401027825,"score_gpt":0.24627655137186322,"score_spread":0.20515667736158497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1689299797","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99441755,0.0005572527,0.0001995118,0.00010204808,0.000008535666,0.0000042295655,0.002753029,0.000013430922,0.0019443352],"genre_scores_gemma":[0.9957546,0.000350279,0.000416908,0.0000334094,0.0000057934653,0.000005500271,0.002764861,0.0000075733024,0.00066112936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999126,0.000011397571,0.000008553304,0.000035703502,0.000018999403,0.00001268169],"domain_scores_gemma":[0.9996594,0.00001886958,0.00015194407,0.000025307712,0.00009216655,0.00005235984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016737291,0.0001182092,0.000092017835,0.0005876401,0.00019574,0.00034003134,0.00011921179,0.00009710984,0.0011494051],"category_scores_gemma":[0.0002753568,0.00009514661,0.00013692584,0.00065723766,0.00012787338,0.00024084462,0.00023356905,0.00013524246,0.00026294182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043354663,0.000006927516,0.983055,0.00003414041,0.000071772454,0.00003673001,0.00018026892,0.00014492877,0.003852752,0.00007875028,0.00088157825,0.011613791],"study_design_scores_gemma":[6.288904e-7,0.000002948496,0.99927694,0.0000040304544,0.000004583466,0.000012187564,0.000035533867,0.00005679011,0.00005626644,0.000005515623,0.0005439493,7.3242285e-7],"about_ca_topic_score_codex":0.106544726,"about_ca_topic_score_gemma":0.3075449,"teacher_disagreement_score":0.106544726,"about_ca_system_score_codex":0.00047676687,"about_ca_system_score_gemma":0.00040538903,"threshold_uncertainty_score":0.21184915},"labels":[],"label_agreement":null},{"id":"W2036376676","doi":"10.5194/essd-5-3-2013","title":"The Northern Circumpolar Soil Carbon Database: spatially distributed datasets of soil coverage and soil carbon storage in the northern permafrost regions","year":2013,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":368,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada; International Permafrost Association; Stockholms Universitet; Vetenskapsrådet; U.S. Department of Agriculture","keywords":"Permafrost; Soil carbon; Database; Soil map; Environmental science; Pedogenesis; Digital soil mapping; Soil water; Soil survey; Soil science; Carbon cycle; Earth science; Physical geography; Geology; Computer science; Ecosystem; Geography; Ecology","score_opus":0.030999664982500258,"score_gpt":0.23356258035251654,"score_spread":0.20256291537001628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036376676","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":[0.017408673,0.00037961663,0.0009041838,0.00007215804,0.000027855958,0.00006364361,0.97781074,0.0004197165,0.002913521],"genre_scores_gemma":[0.029587945,0.00045282222,0.005633712,0.000037052567,0.000015977106,0.00029144576,0.9630378,0.00009749157,0.0008457666],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99959666,0.000056434936,0.000070947186,0.0001148105,0.00012161671,0.0000395579],"domain_scores_gemma":[0.9985026,0.0001284484,0.0002981967,0.00021391547,0.00062565814,0.00023118882],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080683484,0.0006417576,0.00057142705,0.0038884971,0.00044481584,0.0011275654,0.00074719865,0.00035522826,0.0077239624],"category_scores_gemma":[0.0015713456,0.00026795425,0.00028847603,0.010645713,0.00019510536,0.0007753323,0.0010359762,0.00047308952,0.0030210756],"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":[0.0007652189,0.00019041539,0.23232992,0.003247573,0.0006242843,0.00050887716,0.0012190426,0.0124951145,0.004470718,0.0054455223,0.61018616,0.12851712],"study_design_scores_gemma":[0.00023232528,0.000034715333,0.40344048,0.00046188774,0.00014731695,0.00013506578,0.0009424743,0.004758072,0.0026066652,0.0016345433,0.5855346,0.0000718212],"about_ca_topic_score_codex":0.08583737,"about_ca_topic_score_gemma":0.07842854,"teacher_disagreement_score":0.08583737,"about_ca_system_score_codex":0.001023822,"about_ca_system_score_gemma":0.0021045425,"threshold_uncertainty_score":0.17067546},"labels":[],"label_agreement":null},{"id":"W2042419248","doi":"10.5194/essd-6-91-2014","title":"Measurements of the dissolved inorganic carbon system and associated biogeochemical parameters in the Canadian Arctic, 1974–2009","year":2014,"lang":"en","type":"article","venue":"Earth system science data","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":true,"ca_institutions":"McGill University; University of Victoria; Fisheries and Oceans Canada","funders":"","keywords":"Arctic; Biogeochemical cycle; Environmental science; Subarctic climate; Oceanography; Alkalinity; Total inorganic carbon; Dissolved organic carbon; The arctic; Carbon fibers; Carbon dioxide; Geology; Environmental chemistry; Chemistry","score_opus":0.034998669670702275,"score_gpt":0.22170501604185774,"score_spread":0.18670634637115546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042419248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.824502,0.002480603,0.00182705,0.00041411293,0.00010449094,0.00011663322,0.1554278,0.00021277703,0.014914417],"genre_scores_gemma":[0.8848473,0.0015186435,0.0052809934,0.00023795143,0.000040948347,0.00010967829,0.10010514,0.00006002279,0.007799323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893945,0.00003523196,0.000040304712,0.0001688665,0.0006651151,0.00015109894],"domain_scores_gemma":[0.9963987,0.00008271769,0.0003053213,0.00009520113,0.0029167933,0.00020133717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008083339,0.0006470966,0.00035582006,0.0027719408,0.00249359,0.0008394587,0.00092056923,0.00021212935,0.0010311999],"category_scores_gemma":[0.0014437739,0.00034607112,0.00035512008,0.006516279,0.00057993276,0.0003293492,0.0008323546,0.0004384947,0.0003462272],"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":[0.00027928292,0.00005437483,0.9463798,0.0002494498,0.00035259078,0.00010919493,0.0008350301,0.0019770113,0.0031491972,0.0002517069,0.013175117,0.03318725],"study_design_scores_gemma":[0.0000066331745,0.0000117003865,0.988208,0.00002060318,0.000030146022,0.000014054087,0.00017089215,0.0003505461,0.00075061544,0.000014661345,0.0104108425,0.000011208796],"about_ca_topic_score_codex":0.9941791,"about_ca_topic_score_gemma":0.9976458,"teacher_disagreement_score":0.020947503,"about_ca_system_score_codex":0.020947503,"about_ca_system_score_gemma":0.023571523,"threshold_uncertainty_score":0.15198547},"labels":[],"label_agreement":null},{"id":"W2071940374","doi":"10.5194/essd-4-91-2012","title":"Dobson, Brewer, ERA-40 and ERA-Interim original and merged total ozone data sets – evaluation of differences: a case study, Hradec Králové (Czech), 1961–2010","year":2012,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":26,"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":"Northern Hemisphere; Ozone; Environmental science; Climatology; Interim; Calibration; Meteorology; Series (stratigraphy); Ozone depletion; Atmospheric sciences; Latitude; Mathematics; Statistics; Geography; Geology; Geodesy","score_opus":0.12106411330626897,"score_gpt":0.33106626418381785,"score_spread":0.21000215087754887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2071940374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98430854,0.001363448,0.0026756187,0.0001164056,0.000045073943,0.00012853666,0.009367642,0.000096397205,0.0018982678],"genre_scores_gemma":[0.9697037,0.00045432773,0.008848318,0.00002898026,0.000016811657,0.00010193446,0.020042762,0.00007138944,0.00073185505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975504,0.00055887765,0.00021735142,0.0005110493,0.00091415824,0.00024817602],"domain_scores_gemma":[0.99640393,0.0010021105,0.00064149144,0.00064727257,0.001151567,0.00015364551],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0064831898,0.0004167415,0.00055400183,0.0024956095,0.00041339826,0.0016233417,0.0009234824,0.00055728084,0.00043290108],"category_scores_gemma":[0.008539997,0.00038538297,0.0010732025,0.0051303837,0.0005872966,0.0012955983,0.0010509884,0.000563522,0.00015392949],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026114434,0.00035844397,0.8322283,0.0006744212,0.0012717714,0.0015551946,0.0013744638,0.070707396,0.005035444,0.0038549628,0.005702772,0.07462554],"study_design_scores_gemma":[0.000091303766,0.00016616212,0.9681825,0.00011026072,0.00024626122,0.000276218,0.0011766535,0.016908944,0.002905284,0.000371899,0.009496846,0.00006775368],"about_ca_topic_score_codex":0.118398346,"about_ca_topic_score_gemma":0.10352336,"teacher_disagreement_score":0.118398346,"about_ca_system_score_codex":0.0029288854,"about_ca_system_score_gemma":0.0020893486,"threshold_uncertainty_score":0.23541838},"labels":[],"label_agreement":null},{"id":"W2076278061","doi":"10.5194/essd-4-215-2012","title":"A compilation of tropospheric measurements of gas-phase and aerosol chemistry in polar regions","year":2012,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","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":"Troposphere; Atmospheric chemistry; Aerosol; Polar; The arctic; Atmospheric sciences; Environmental science; Gas phase; Arctic; Meteorology; Climatology; Ozone; Geology; Chemistry; Oceanography; Geography; Physics; Astronomy; Physical chemistry","score_opus":0.06120071864188783,"score_gpt":0.2765302999309672,"score_spread":0.2153295812890794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076278061","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":[0.22227372,0.013959378,0.007888777,0.00018859537,0.00045305106,0.00020954631,0.7385658,0.0012174201,0.015243774],"genre_scores_gemma":[0.30495584,0.01575647,0.022491822,0.00040594768,0.0004989296,0.00045615947,0.6500041,0.00046131475,0.0049694157],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958104,0.000038998605,0.00007445744,0.00012129698,0.00013962502,0.00004450927],"domain_scores_gemma":[0.99806815,0.00027451254,0.000380646,0.00022884403,0.0008726961,0.0001751901],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005310529,0.0012060411,0.0007458772,0.008748191,0.00066455436,0.0009003445,0.0003977303,0.00026556532,0.002041961],"category_scores_gemma":[0.0008018623,0.00031408021,0.0005725234,0.0074694827,0.00015589819,0.00046414667,0.0007613436,0.00038475523,0.0012661242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012772406,0.00041935817,0.48870024,0.0063664527,0.002373911,0.00083055097,0.0007067106,0.0035297575,0.09165062,0.00049828825,0.057950724,0.34569615],"study_design_scores_gemma":[0.000035893398,0.00017634104,0.8398513,0.0003104779,0.0006720651,0.0004379263,0.00028797085,0.00034487742,0.019715788,0.00014989081,0.13796017,0.00005728566],"about_ca_topic_score_codex":0.01262395,"about_ca_topic_score_gemma":0.015651846,"teacher_disagreement_score":0.01262395,"about_ca_system_score_codex":0.00031179012,"about_ca_system_score_gemma":0.001203514,"threshold_uncertainty_score":0.025100887},"labels":[],"label_agreement":null},{"id":"W2097961224","doi":"10.5194/essd-7-239-2015","title":"The IPY 2007–2008 data legacy – creating open data from IPY publications","year":2015,"lang":"en","type":"article","venue":"Earth system science data","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":"","keywords":"Metadata; Upload; Visibility; Tundra; Biomass (ecology); Environmental science; Meteorology; Arctic; Computer science; Oceanography; Geography; Geology; World Wide Web","score_opus":0.17604482302680066,"score_gpt":0.32607106786971496,"score_spread":0.1500262448429143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097961224","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":[0.0018786117,0.00064982526,0.0014450169,0.00037770675,0.00029917655,0.00022934724,0.98434675,0.0016058491,0.009167811],"genre_scores_gemma":[0.002245074,0.0009052201,0.0056587076,0.00011265441,0.00014379947,0.00071830984,0.9858474,0.0010595612,0.0033092916],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9919418,0.0007287866,0.002207182,0.0012062412,0.0033497082,0.00056620664],"domain_scores_gemma":[0.94862497,0.014401917,0.007278438,0.0077079856,0.019397426,0.002589222],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.007471148,0.001222805,0.0012618287,0.05014338,0.0017138296,0.008046045,0.001736898,0.0011933236,0.036044233],"category_scores_gemma":[0.04967059,0.00093801005,0.0010199045,0.057918448,0.001009347,0.0067210095,0.0068973647,0.0024028793,0.04369919],"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":[0.00021261012,0.0000711326,0.00643345,0.0064758905,0.00009060091,0.00029656704,0.0018310423,0.00032585885,0.0016219259,0.0075781234,0.8849802,0.090082616],"study_design_scores_gemma":[0.00001860124,0.000011514359,0.010679324,0.001006544,0.000023329621,0.000049227947,0.00038101693,0.00007121688,0.0004192268,0.00054507575,0.98676574,0.000029221746],"about_ca_topic_score_codex":0.016498579,"about_ca_topic_score_gemma":0.010289588,"teacher_disagreement_score":0.9982631,"about_ca_system_score_codex":0.002432382,"about_ca_system_score_gemma":0.011001605,"threshold_uncertainty_score":0.12058002},"labels":[],"label_agreement":null},{"id":"W2103452519","doi":"10.5194/essd-5-319-2013","title":"Juneau Icefield Mass Balance Program 1946–2011","year":2013,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"University of Alberta","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Glacier; Ice field; Glacier mass balance; Snow; Accumulation zone; Physical geography; Geology; Transect; Tidewater glacier cycle; Climatology; Geomorphology; Geography; Ice stream; Oceanography; Cryosphere; Sea ice","score_opus":0.04203613080147258,"score_gpt":0.24682579005610655,"score_spread":0.20478965925463397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103452519","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":[0.044033688,0.0014977929,0.0018583375,0.000818759,0.0009341233,0.0004667718,0.76759404,0.0013788028,0.18141764],"genre_scores_gemma":[0.09734025,0.0012413532,0.0088915415,0.00044320483,0.00043960562,0.00076486816,0.7315877,0.0004138432,0.15887763],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99961346,0.000026746533,0.000025863648,0.000076783246,0.00023218752,0.00002505861],"domain_scores_gemma":[0.998884,0.000027874488,0.00014527161,0.00006277511,0.0008204462,0.000059675265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007366226,0.0007620647,0.00030780002,0.0024027992,0.00057560275,0.0006780441,0.00096145563,0.00017069642,0.041729297],"category_scores_gemma":[0.00092959433,0.00025763278,0.00015030462,0.0022668045,0.00013287117,0.00054094114,0.00048910617,0.00039656402,0.013119315],"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":[0.0004325342,0.00019017725,0.06610209,0.0003574066,0.00009422136,0.00011687577,0.00018235907,0.0007626197,0.0018466809,0.0017890485,0.8167731,0.11135278],"study_design_scores_gemma":[0.000058126483,0.00004155079,0.15229565,0.00007941918,0.000019332423,0.00004067165,0.00006694861,0.0011733774,0.0009557192,0.00023605657,0.8450196,0.000013566744],"about_ca_topic_score_codex":0.10504218,"about_ca_topic_score_gemma":0.24234818,"teacher_disagreement_score":0.10504218,"about_ca_system_score_codex":0.0019438511,"about_ca_system_score_gemma":0.0022216411,"threshold_uncertainty_score":0.20886153},"labels":[],"label_agreement":null},{"id":"W2107878594","doi":"10.5194/essd-6-331-2014","title":"High-resolution ice thickness and bed topography of a land-terminating section of the Greenland Ice Sheet","year":2014,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"Svenska Sällskapet för Antropologi och Geografi; Svensk Kärnbränslehantering; Natural Environment Research Council; Centre National d’Etudes Spatiales; Royal Geographical Society; Aberystwyth University; Gilchrist Educational Trust; Sight Research UK; Nuclear Waste Management Organization","keywords":"Greenland ice sheet; Geology; Section (typography); Ice sheet; Ice core; Ice-sheet model; Ice stream; Groenlandia; Normalization property; Geomorphology; Cryosphere; Climatology; Sea ice","score_opus":0.022963892957473836,"score_gpt":0.2219773459432406,"score_spread":0.19901345298576675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2107878594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98892796,0.00012690251,0.00056079443,0.000021832462,0.00000484181,0.000010174741,0.008963491,0.00010463104,0.0012794485],"genre_scores_gemma":[0.9877715,0.00007507691,0.0016186776,0.00001336125,0.000004041374,0.000007898557,0.009963054,0.0000134846005,0.00053293834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995124,0.0000059231097,0.0000035363346,0.000014228925,0.000011342838,0.000013732036],"domain_scores_gemma":[0.9998859,0.000013516272,0.00002531644,0.000015692929,0.000035169152,0.000024434972],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013143361,0.00019064569,0.00011722689,0.0013252781,0.00013904176,0.00032082637,0.00015358099,0.00012538952,0.0012940766],"category_scores_gemma":[0.00014654975,0.000096047814,0.00016186282,0.001137151,0.00011882332,0.0001789906,0.00022033161,0.000079172685,0.00023782683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003501981,0.0001728352,0.86972183,0.00013481564,0.0002905599,0.0007389758,0.0006596637,0.0132273035,0.0450134,0.00029502664,0.0050461944,0.06434912],"study_design_scores_gemma":[0.000004308154,0.000009257169,0.9955615,0.0000069189327,0.0000126489595,0.00005396511,0.00008147339,0.0027178356,0.00057653757,0.000024663193,0.000946705,0.000004199676],"about_ca_topic_score_codex":0.055061713,"about_ca_topic_score_gemma":0.112787046,"teacher_disagreement_score":0.055061713,"about_ca_system_score_codex":0.00037188287,"about_ca_system_score_gemma":0.00028966,"threshold_uncertainty_score":0.10948241},"labels":[],"label_agreement":null},{"id":"W2108208049","doi":"10.5194/essd-5-145-2013","title":"Surface Ocean CO <sub>2</sub> Atlas (SOCAT) gridded data products","year":2013,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"North Pacific Marine Science Organization; Dalhousie University","funders":"Oak Ridge National Laboratory; Bjerknessenteret for klimaforskning, Universitetet i Bergen; Natural Environment Research Council; Universitetet i Bergen; Centre National de la Recherche Scientifique; Dalhousie University; Commonwealth Scientific and Industrial Research Organisation; European Commission; Sight Research UK; National Oceanic and Atmospheric Administration; European Cooperation in Science and Technology; University of East Anglia; University of Washington; National Science Foundation","keywords":"Environmental science; Sea surface temperature; Product (mathematics); Interpolation (computer graphics); Meteorology; Atlas (anatomy); Data set; Climatology; Oceanography; Computer science; Geography; Geology; Telecommunications; Mathematics","score_opus":0.04381791499928,"score_gpt":0.2512328851792548,"score_spread":0.2074149701799748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108208049","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":[0.004149004,0.00015679059,0.0030765824,0.00030386244,0.00024160222,0.00007486187,0.9765637,0.0026951635,0.01273846],"genre_scores_gemma":[0.021662885,0.0002702923,0.0131064,0.0001896971,0.000050282324,0.00027835497,0.95987165,0.00091231585,0.0036580963],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99952567,0.000054663025,0.000061477935,0.00010488702,0.00019774248,0.00005551362],"domain_scores_gemma":[0.9983082,0.00010207997,0.00018576291,0.00031060225,0.001010474,0.00008284144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077852135,0.0008220095,0.0005567998,0.0021344188,0.000368544,0.0011875214,0.0010445232,0.0006246018,0.012652398],"category_scores_gemma":[0.0021263296,0.00036926757,0.00068739115,0.007693495,0.0002743903,0.0011538524,0.0007721853,0.00097210525,0.009338237],"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":[0.00038632314,0.00005073627,0.020816566,0.0010270315,0.00028449495,0.00018719478,0.00010041721,0.010131025,0.002691514,0.0074961507,0.9155151,0.04131349],"study_design_scores_gemma":[0.0001952355,0.00003107998,0.058828402,0.00017372557,0.000085715605,0.00008185705,0.00019043733,0.009762427,0.0050358935,0.003365345,0.9221711,0.00007880385],"about_ca_topic_score_codex":0.080750845,"about_ca_topic_score_gemma":0.056666356,"teacher_disagreement_score":0.080750845,"about_ca_system_score_codex":0.001035329,"about_ca_system_score_gemma":0.0022164613,"threshold_uncertainty_score":0.16056168},"labels":[],"label_agreement":null},{"id":"W2109629252","doi":"10.5194/essd-4-37-2012","title":"Picophytoplankton biomass distribution in the global ocean","year":2012,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":271,"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; Université du Québec à Rimouski; Fisheries and Oceans Canada","funders":"Networks of Centres of Excellence of Canada; European Commission; ArcticNet","keywords":"Prochlorococcus; Synechococcus; Phytoplankton; Biomass (ecology); Oceanography; Abundance (ecology); Environmental science; Cyanobacteria; Biology; Ecology; Geology; Nutrient","score_opus":0.0271835271689219,"score_gpt":0.2413760238898177,"score_spread":0.2141924967208958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109629252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99061954,0.000605317,0.00032084683,0.000049375587,0.0000053456542,0.0000036791125,0.0055840197,0.000030159272,0.0027815918],"genre_scores_gemma":[0.9895499,0.00067122286,0.00067810825,0.000027307453,0.00000845893,0.000016934107,0.008356117,0.000015576006,0.000676427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998995,0.000013277139,0.0000073886567,0.000042934073,0.00002089405,0.000015986872],"domain_scores_gemma":[0.9997315,0.000034344794,0.000071769566,0.000028592782,0.000097528624,0.000036396203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018225917,0.00030557316,0.00018046248,0.0021412352,0.00011568006,0.0004381761,0.0000965606,0.00011910067,0.0012128974],"category_scores_gemma":[0.0003984656,0.00008993652,0.00023962106,0.0024636502,0.00015448927,0.0004367318,0.00052365765,0.00012403668,0.0004286712],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060014,0.00001117108,0.9740409,0.000052931922,0.00008110932,0.000048274327,0.00019054067,0.00073573587,0.0050133704,0.00018196591,0.0006708496,0.018913236],"study_design_scores_gemma":[0.0000012629857,0.000017171733,0.99790925,0.000008789815,0.000011009032,0.00003123749,0.0000872734,0.0002753303,0.00019322477,0.000050712013,0.0014113645,0.0000033820663],"about_ca_topic_score_codex":0.007158077,"about_ca_topic_score_gemma":0.00764531,"teacher_disagreement_score":0.007158077,"about_ca_system_score_codex":0.00029293908,"about_ca_system_score_gemma":0.00014594452,"threshold_uncertainty_score":0.014232814},"labels":[],"label_agreement":null},{"id":"W2112571450","doi":"10.5194/essd-4-101-2012","title":"Picoheterotroph ( <i>Bacteria</i> and <i>Archaea</i> ) biomass distribution in the global ocean","year":2012,"lang":"en","type":"article","venue":"Earth system science data","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":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Biomass (ecology); Abundance (ecology); Archaea; Oceanography; Environmental science; Biology; Chemistry; Bacteria; Ecology; Geology","score_opus":0.0225346809632741,"score_gpt":0.22884981008221916,"score_spread":0.20631512911894506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2112571450","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9675934,0.00064091076,0.0010357971,0.00003949535,0.000005145471,0.000010038619,0.028964162,0.00008330847,0.0016277428],"genre_scores_gemma":[0.935417,0.00087175093,0.0034197106,0.00004040542,0.000010544908,0.00005057131,0.059585977,0.000029726929,0.00057432696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997825,0.000022775434,0.000027181966,0.000079573634,0.0000574309,0.000030526],"domain_scores_gemma":[0.9994771,0.000090199246,0.00015214062,0.00007049132,0.00016328582,0.00004680814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028954624,0.00029402217,0.00032228808,0.0027550508,0.00013518045,0.00051390874,0.00016296186,0.00017248881,0.0010804742],"category_scores_gemma":[0.0007839301,0.00012446642,0.00028475377,0.00297189,0.0001606907,0.0004516935,0.0005464335,0.00015102509,0.0004742477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013849461,0.000028090419,0.95334405,0.00016335062,0.00011524938,0.000056204124,0.00013504969,0.0042219153,0.0107425,0.00023193944,0.0011928321,0.029630257],"study_design_scores_gemma":[0.0000070107526,0.00004015011,0.9884311,0.000022328026,0.000026630316,0.00008954383,0.00011506748,0.0020578904,0.0025437532,0.00015965258,0.0064921775,0.000014585419],"about_ca_topic_score_codex":0.0052529676,"about_ca_topic_score_gemma":0.003972768,"teacher_disagreement_score":0.0052529676,"about_ca_system_score_codex":0.00032423547,"about_ca_system_score_gemma":0.00018146585,"threshold_uncertainty_score":0.01044476},"labels":[],"label_agreement":null},{"id":"W2125392769","doi":"10.5194/essd-2-71-2010","title":"Arctic Ocean data in CARINA","year":2010,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","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":"National Oceanic and Atmospheric Administration; Norges Forskningsråd","keywords":"Alkalinity; Arctic; Environmental science; Nutrient; The arctic; Silicate; Nitrate; Carbon fibers; Total inorganic carbon; Data set; Linear regression; Oceanography; Geology; Carbon dioxide; Statistics; Computer science; Chemistry; Mathematics; Algorithm","score_opus":0.03781812880280929,"score_gpt":0.2679664364075005,"score_spread":0.2301483076046912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125392769","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":[0.15058313,0.0020938553,0.0016419836,0.0006994781,0.0006102394,0.00016950455,0.77368826,0.0009783912,0.069535166],"genre_scores_gemma":[0.23087008,0.0007893137,0.0055371504,0.00031828246,0.00012484207,0.00036209685,0.7262584,0.00032589294,0.035413858],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99881566,0.00016439766,0.00010590822,0.00034772817,0.0004126994,0.0001536707],"domain_scores_gemma":[0.9968104,0.00021414149,0.00041958113,0.0004282289,0.0019235387,0.00020417706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011878969,0.00052697386,0.00046783726,0.0026510502,0.0010313744,0.0015438102,0.0005848187,0.00032168825,0.007751054],"category_scores_gemma":[0.0024857894,0.00028500962,0.00030474228,0.004185832,0.00021726564,0.00040708733,0.0011264425,0.0004318772,0.00391313],"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":[0.0037885618,0.00015426714,0.39162233,0.0015885674,0.00067581265,0.00081280165,0.002567833,0.009048065,0.005237235,0.00714151,0.42937142,0.14799155],"study_design_scores_gemma":[0.00005314606,0.00005956761,0.28368792,0.00016999312,0.00008333299,0.0001110573,0.0007692399,0.0014333244,0.0029077183,0.00031646228,0.7103623,0.000045933983],"about_ca_topic_score_codex":0.3537751,"about_ca_topic_score_gemma":0.41312847,"teacher_disagreement_score":0.3537751,"about_ca_system_score_codex":0.0023010175,"about_ca_system_score_gemma":0.0042506675,"threshold_uncertainty_score":0.70343184},"labels":[],"label_agreement":null},{"id":"W2129913217","doi":"10.5194/essd-5-349-2013","title":"Harmonized dataset of ozone profiles from satellite limb and occultation measurements","year":2013,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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":"University of Saskatchewan","funders":"","keywords":"Environmental science; SCIAMACHY; Occultation; Altitude (triangle); Remote sensing; NetCDF; Meteorology; Satellite; Troposphere; Range (aeronautics); Atmospheric sciences; Computer science; Geology; Geography; Mathematics","score_opus":0.0683223962250921,"score_gpt":0.25469499485989366,"score_spread":0.18637259863480155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129913217","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":[0.017146667,0.0001571472,0.0034362671,0.00008496257,0.000080194535,0.00012331025,0.97637117,0.0009291393,0.0016711754],"genre_scores_gemma":[0.0137135405,0.00005224538,0.002532371,0.00004042122,0.000016243423,0.00012268318,0.9830966,0.00007675298,0.00034924733],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9987263,0.00017518028,0.00013760813,0.00042172696,0.00036536655,0.00017373316],"domain_scores_gemma":[0.9988342,0.00009074975,0.00014617572,0.00039774945,0.00044228006,0.00008888677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008063791,0.0009280695,0.001065904,0.0019297282,0.00044420356,0.0009845415,0.0016195757,0.0009590901,0.0045335377],"category_scores_gemma":[0.0015527037,0.0003480321,0.0011875355,0.003983261,0.00024617746,0.00091672107,0.001378106,0.0011578084,0.0046641575],"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":[0.0014176351,0.0008317249,0.076678135,0.002199153,0.001413122,0.00055806065,0.00028726584,0.03919285,0.018514879,0.0040353094,0.7803854,0.074486576],"study_design_scores_gemma":[0.0008738744,0.00020350776,0.33838308,0.00035082197,0.00040517765,0.0004004576,0.00043377158,0.030179253,0.015750548,0.0029922908,0.60977685,0.00025036206],"about_ca_topic_score_codex":0.020581849,"about_ca_topic_score_gemma":0.018508546,"teacher_disagreement_score":0.020581849,"about_ca_system_score_codex":0.0007356986,"about_ca_system_score_gemma":0.001401088,"threshold_uncertainty_score":0.040924072},"labels":[],"label_agreement":null},{"id":"W2130434897","doi":"10.5194/essd-6-69-2014","title":"An update to the Surface Ocean CO <sub>2</sub> Atlas (SOCAT version 2)","year":2014,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":192,"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":"Oak Ridge National Laboratory; Bjerknessenteret for klimaforskning, Universitetet i Bergen; Natural Environment Research Council; Climate Program Office; Norges Forskningsråd; Universitetet i Bergen; European Commission; National Oceanic and Atmospheric Administration; Sight Research UK; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; University of East Anglia; National Science Foundation; University of Washington; Vetenskapsrådet","keywords":"Environmental science; Metadata; Meteorology; NetCDF; Computer science; Climatology; Oceanography; Database; Geography; Geology; World Wide Web","score_opus":0.016193760116569283,"score_gpt":0.2414989864579474,"score_spread":0.22530522634137812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130434897","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":[0.002568059,0.0009970058,0.0043676635,0.0023676034,0.0030131086,0.00017753123,0.9338553,0.0064678886,0.04618582],"genre_scores_gemma":[0.0077696545,0.0011872763,0.008933821,0.001462708,0.0005140291,0.00038607427,0.950659,0.004917026,0.024170399],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979948,0.00021989881,0.00020581283,0.00027189066,0.0010686523,0.00023896666],"domain_scores_gemma":[0.99198884,0.0005608926,0.0005306237,0.00127456,0.005197614,0.00044740475],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00289102,0.0011482035,0.0006184192,0.005107755,0.0006587649,0.0029201573,0.0015463075,0.00085111253,0.055663288],"category_scores_gemma":[0.0076218485,0.0007374949,0.000978227,0.010861494,0.0004099751,0.003578556,0.00229984,0.0018478049,0.05007671],"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":[0.00009019774,0.0000147980145,0.0024023412,0.00038760618,0.000031285956,0.00003824078,0.00006051658,0.00043448224,0.00063133624,0.0014780316,0.9690503,0.025380854],"study_design_scores_gemma":[0.00001540604,0.0000064907736,0.0041702003,0.000082996135,0.000015021401,0.00003374044,0.000030573887,0.00012862946,0.00042968447,0.0005206379,0.9945491,0.00001748539],"about_ca_topic_score_codex":0.0707328,"about_ca_topic_score_gemma":0.045277502,"teacher_disagreement_score":0.0707328,"about_ca_system_score_codex":0.001932821,"about_ca_system_score_gemma":0.0049755913,"threshold_uncertainty_score":0.18621224},"labels":[],"label_agreement":null},{"id":"W2143487353","doi":"10.5194/essd-5-125-2013","title":"A uniform, quality controlled Surface Ocean CO <sub>2</sub> Atlas (SOCAT)","year":2013,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","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":"North Pacific Marine Science Organization; Dalhousie University","funders":"Oak Ridge National Laboratory; National Centre for Earth Observation; Bjerknessenteret for klimaforskning, Universitetet i Bergen; Natural Environment Research Council; Commonwealth Scientific and Industrial Research Organisation; Dalhousie University; Norges Forskningsråd; Universitetet i Bergen; Centre National de la Recherche Scientifique; European Commission; European Cooperation in Science and Technology; National Oceanic and Atmospheric Administration; Sight Research UK; University of East Anglia; University of Washington; National Science Foundation","keywords":"Environmental science; Data set; Data quality; Ocean observations; Ocean chemistry; Oceanography; Quality (philosophy); Control (management); Computer science; Meteorology; Seawater; Geography; Geology; Operations management; Engineering","score_opus":0.03150062311592978,"score_gpt":0.2672135813121428,"score_spread":0.23571295819621302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143487353","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":[0.010388508,0.0003532276,0.006568047,0.00033539298,0.00026788213,0.0006855974,0.9666723,0.0018597897,0.012869341],"genre_scores_gemma":[0.019174343,0.00024947172,0.015369471,0.00022888379,0.000074926706,0.0011991436,0.960571,0.00068284885,0.0024498026],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99644744,0.00041319357,0.00067700347,0.0006513593,0.0014846574,0.0003263127],"domain_scores_gemma":[0.98592806,0.000990758,0.0021103339,0.0031318383,0.007008803,0.0008303371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005199579,0.0010005344,0.00084795675,0.007629477,0.0009572903,0.002093957,0.0020240308,0.00086513814,0.009419065],"category_scores_gemma":[0.007576832,0.00054192275,0.0010136039,0.015917284,0.0008862385,0.0019626776,0.0022767133,0.0010034197,0.0067846575],"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":[0.001909013,0.00017369475,0.11333276,0.0044363434,0.00058008014,0.00047510257,0.0007216777,0.0064945673,0.0156159075,0.010773214,0.756406,0.089081615],"study_design_scores_gemma":[0.00016364247,0.00009231685,0.1710458,0.0004795556,0.00018824109,0.0001440411,0.00035728695,0.0018249295,0.006868371,0.0012330533,0.8174767,0.00012613455],"about_ca_topic_score_codex":0.0825564,"about_ca_topic_score_gemma":0.064386554,"teacher_disagreement_score":0.0825564,"about_ca_system_score_codex":0.002534787,"about_ca_system_score_gemma":0.01007921,"threshold_uncertainty_score":0.16415173},"labels":[],"label_agreement":null},{"id":"W2155923306","doi":"10.5194/essd-5-109-2013","title":"The MAREDAT global database of high performance liquid chromatography marine pigment measurements","year":2013,"lang":"en","type":"article","venue":"Earth system science data","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":"Bedford Institute of Oceanography","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Fucoxanthin; Chlorophyll a; Environmental science; Peridinin; Chlorophyll; Phytoplankton; Oceanography; Database; Biology; Algae; Ecology; Botany; Computer science; Geology; Nutrient","score_opus":0.027115823280712242,"score_gpt":0.21547399148404028,"score_spread":0.18835816820332804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155923306","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":[0.006419972,0.00047685092,0.0016427245,0.00004015384,0.000025078958,0.00005946573,0.9885993,0.0014520764,0.0012844494],"genre_scores_gemma":[0.0048744134,0.00020250698,0.0032479512,0.000037372567,0.000009810268,0.00016444009,0.9909525,0.00012274097,0.00038815412],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.997755,0.00021278534,0.00037295785,0.0006008893,0.0008949716,0.00016337627],"domain_scores_gemma":[0.99611795,0.00044776444,0.0009956481,0.00093142514,0.0011737958,0.0003333633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001695051,0.0018255702,0.0016128386,0.008448834,0.0005302123,0.0025035108,0.0023169254,0.0010639116,0.0069904174],"category_scores_gemma":[0.004735279,0.00049862167,0.0012286397,0.010459918,0.00027862962,0.0014600835,0.0019262203,0.0011507329,0.01258774],"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":[0.0010182321,0.0003154572,0.10753636,0.0044978145,0.00087056885,0.0005136099,0.00017256202,0.005499793,0.013874665,0.002812936,0.7551616,0.10772646],"study_design_scores_gemma":[0.00024248907,0.00015938898,0.15493448,0.00058914203,0.00026055923,0.0004349609,0.00016533653,0.007978362,0.00892902,0.0021141993,0.82401097,0.00018120052],"about_ca_topic_score_codex":0.010075799,"about_ca_topic_score_gemma":0.008963745,"teacher_disagreement_score":0.010075799,"about_ca_system_score_codex":0.0009383717,"about_ca_system_score_gemma":0.0018575258,"threshold_uncertainty_score":0.023385227},"labels":[],"label_agreement":null},{"id":"W2228130897","doi":"10.5194/essd-8-61-2016","title":"The SPARC Data Initiative: comparisons of CFC-11, CFC-12, HF and SF <sub>6</sub> climatologies from international satellite limb sounders","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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":"University of Toronto","funders":"Japan Aerospace Exploration Agency; National Oceanic and Atmospheric Administration; Core Research for Evolutional Science and Technology; Scheme for Promotion of Academic and Research Collaboration; Bundesministerium für Bildung und Forschung; Canadian Foundation for Climate and Atmospheric Sciences; National Aeronautics and Space Administration","keywords":"Stratosphere; Environmental science; Satellite; Troposphere; Climatology; Latitude; Atmospheric sciences; Meteorology; Middle latitudes; Geology; Geography; Physics; Geodesy","score_opus":0.09130297510264748,"score_gpt":0.27140068796272193,"score_spread":0.18009771286007445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228130897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7011567,0.0007441934,0.0027807923,0.00030462083,0.00017140248,0.00019048018,0.2819082,0.0015809104,0.011162706],"genre_scores_gemma":[0.5872936,0.00025706194,0.007258383,0.00016050957,0.000076813674,0.00013655362,0.4027918,0.00028956714,0.0017356292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893445,0.00016969204,0.000103211234,0.00025076442,0.00040750043,0.00013431264],"domain_scores_gemma":[0.9959978,0.0006092352,0.00053699326,0.0005519551,0.0019975312,0.0003064888],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031058444,0.0006333083,0.00037402697,0.0029037073,0.00032141418,0.0010229489,0.0005910244,0.00060951203,0.0026656305],"category_scores_gemma":[0.0029821952,0.00018263808,0.00036109728,0.0044089914,0.00021363706,0.0009301831,0.0005033694,0.00034134142,0.0009939423],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014447139,0.00032674504,0.7818151,0.0005149996,0.00069663406,0.00025337547,0.00049868965,0.02354369,0.0076995953,0.00133544,0.08603161,0.095839344],"study_design_scores_gemma":[0.0001313267,0.00012091821,0.96210897,0.00005563704,0.00011062868,0.00008354355,0.00032328654,0.01003922,0.0028130256,0.00017219903,0.023988973,0.000052316034],"about_ca_topic_score_codex":0.09396614,"about_ca_topic_score_gemma":0.091189526,"teacher_disagreement_score":0.09396614,"about_ca_system_score_codex":0.0008916907,"about_ca_system_score_gemma":0.0010066254,"threshold_uncertainty_score":0.18683839},"labels":[],"label_agreement":null},{"id":"W2292246395","doi":"10.5194/essd-8-235-2016","title":"A compilation of global bio-optical in situ data for ocean-colour satellite applications","year":2016,"lang":"en","type":"article","venue":"Earth system science data","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":"Université du Québec à Rimouski","funders":"Institut national des sciences de l'Univers; Université Pierre et Marie Curie; Natural Environment Research Council; Centre National d’Etudes Spatiales; Centre National de la Recherche Scientifique; National Oceanic and Atmospheric Administration; Sight Research UK; European Space Agency; National Science Foundation","keywords":"Metadata; Satellite; Remote sensing; Environmental science; Computer science; Data set; Data quality; Representativeness heuristic; Table (database); Meteorology; Information retrieval; Database; Geography; Statistics; Service (business); Mathematics","score_opus":0.042628394779587034,"score_gpt":0.2707954596679334,"score_spread":0.22816706488834637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292246395","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":[0.04851657,0.000797588,0.052577406,0.00028993687,0.0005162713,0.0006857199,0.8667643,0.013504183,0.016348047],"genre_scores_gemma":[0.06476123,0.0008772114,0.09905095,0.00017080194,0.00016903967,0.001184934,0.82720166,0.0025750278,0.004009219],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99887735,0.00011698455,0.00023234825,0.0002449604,0.00045915626,0.00006921686],"domain_scores_gemma":[0.99305254,0.000598739,0.0007966812,0.0016454163,0.0036298062,0.00027673927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015014496,0.0014346151,0.0007865978,0.009334131,0.00065886544,0.0014887636,0.0008030667,0.000458956,0.005826519],"category_scores_gemma":[0.0032882972,0.00048725292,0.0007192869,0.008599467,0.0002022241,0.0011197947,0.0013558632,0.0008370573,0.0066725174],"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":[0.0005225583,0.000599308,0.1368283,0.003923922,0.00073142274,0.00072247616,0.00090784545,0.021302864,0.07498426,0.002420679,0.25032586,0.5067305],"study_design_scores_gemma":[0.00010024202,0.0002208211,0.39298466,0.00075944356,0.00036418875,0.0003901188,0.0007812606,0.008183666,0.037058026,0.0017833409,0.55716103,0.00021307747],"about_ca_topic_score_codex":0.008741329,"about_ca_topic_score_gemma":0.010620556,"teacher_disagreement_score":0.009334131,"about_ca_system_score_codex":0.0006502582,"about_ca_system_score_gemma":0.0017284367,"threshold_uncertainty_score":0.019491673},"labels":[],"label_agreement":null},{"id":"W2342782004","doi":"10.5194/essd-9-15-2017","title":"Tropospheric water vapour isotopologue data (H <sub>2</sub> <sup>16</sup> O, H <sub>2</sub> <sup>18</sup> O, and HD <sup>16</sup> O) as obtained from NDACC/FTIR solar absorption spectra","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","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 Toronto","funders":"European Research Council","keywords":"Isotopologue; Troposphere; Radiosonde; Water vapor; Environmental science; Remote sensing; Fourier transform infrared spectroscopy; Database; Meteorology; Chemistry; Geology; Physics; Computer science; Molecule","score_opus":0.029120428150115528,"score_gpt":0.24528469953540713,"score_spread":0.2161642713852916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2342782004","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66074806,0.00064971443,0.014864746,0.00020342108,0.00011086909,0.00017396704,0.29734665,0.0032552197,0.022647223],"genre_scores_gemma":[0.67244023,0.0008308751,0.037576757,0.00011591386,0.00006238627,0.00022404689,0.283067,0.00075777207,0.004925066],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99978656,0.0000124742355,0.000018753066,0.00005182433,0.0001060756,0.000024334924],"domain_scores_gemma":[0.9996333,0.000042473832,0.000067698835,0.00011366695,0.00011748289,0.000025305266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025925363,0.0004472242,0.00021688294,0.0015828327,0.00030997093,0.00040532488,0.00050154584,0.00037007756,0.0070641865],"category_scores_gemma":[0.0005573778,0.0001687274,0.00033884647,0.002548612,0.000174852,0.000767439,0.00034478924,0.00038744658,0.0020573097],"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":[0.0011378614,0.0003339088,0.27453563,0.001086798,0.0003564451,0.00044132533,0.00044531003,0.0083445795,0.46941787,0.0013602219,0.02861039,0.21392967],"study_design_scores_gemma":[0.00008956628,0.00012718397,0.67276317,0.00006561765,0.00016631602,0.0002854155,0.00028575418,0.008989593,0.24002758,0.00086416985,0.07624035,0.00009530892],"about_ca_topic_score_codex":0.0119738635,"about_ca_topic_score_gemma":0.022007292,"teacher_disagreement_score":0.0119738635,"about_ca_system_score_codex":0.00040824836,"about_ca_system_score_gemma":0.00041719107,"threshold_uncertainty_score":0.0238083},"labels":[],"label_agreement":null},{"id":"W2395026888","doi":"10.5194/essd-8-383-2016","title":"A multi-decade record of high-quality <i>f</i> CO <sub>2</sub> data in version 3 of the Surface Ocean CO <sub>2</sub> Atlas (SOCAT)","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":713,"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":"NOAA Pacific Marine Environmental Laboratory; NOAA's Atlantic Oceanographic and Meteorological Laboratory; Oak Ridge National Laboratory; Ocean Acidification Program; Climate Program Office; Antarctic Climate and Ecosystems Cooperative Research Centre; Norges Forskningsråd; Natural Environment Research Council; Hakai Institute; Bjerknessenteret for klimaforskning, Universitetet i Bergen; University of East Anglia; U.S. Geological Survey; National Oceanography Centre; Vetenskapsrådet; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Universitetet i Bergen; Bundesministerium für Bildung und Forschung; Seventh Framework Programme; Svenska Forskningsrådet Formas; Royal Society Te Apārangi; European Commission; United Nations Educational, Scientific and Cultural Organization; National Oceanic and Atmospheric Administration; Sight Research UK; National Science Foundation; University of Washington; European Space Agency; Royal Society; Department for Environment, Food and Rural Affairs, UK Government; National Aeronautics and Space Administration","keywords":"Upload; Ocean chemistry; Environmental science; Documentation; Data set; Meteorology; Computer science; Database; Oceanography; Seawater; Geology; World Wide Web; Geography; Operating system","score_opus":0.040659539190344374,"score_gpt":0.2778028781637034,"score_spread":0.23714333897335904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2395026888","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":[0.13811904,0.004300744,0.013369522,0.00799505,0.0033051989,0.00030130762,0.7691146,0.009407199,0.054087367],"genre_scores_gemma":[0.16310798,0.0015549767,0.019542642,0.0022277008,0.00076307124,0.00024363509,0.798556,0.001954915,0.012049122],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874264,0.0000560061,0.000096822856,0.00026028833,0.0007243821,0.00011988601],"domain_scores_gemma":[0.99082,0.00056980154,0.001085617,0.0009931361,0.005980103,0.00055136724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001903561,0.000550851,0.00053037604,0.0035982784,0.0010785572,0.0016920672,0.0006919529,0.0010134093,0.0036928493],"category_scores_gemma":[0.0043829693,0.00040697076,0.000585816,0.008260129,0.00047537603,0.0015127762,0.0016206036,0.001968817,0.0026839515],"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":[0.00056190626,0.00013083938,0.13517444,0.0012983449,0.0004971398,0.0011273667,0.0005367295,0.0032341932,0.016682237,0.0025973439,0.7382528,0.09990666],"study_design_scores_gemma":[0.000047635032,0.0000611134,0.3588882,0.0002479733,0.00015306534,0.00049096206,0.00030272146,0.0017681794,0.009661443,0.0007496212,0.62749165,0.000137424],"about_ca_topic_score_codex":0.07096622,"about_ca_topic_score_gemma":0.12507083,"teacher_disagreement_score":0.07096622,"about_ca_system_score_codex":0.0015554937,"about_ca_system_score_gemma":0.0029881601,"threshold_uncertainty_score":0.14110631},"labels":[],"label_agreement":null},{"id":"W2427928079","doi":"10.5194/essd-8-697-2016","title":"The global methane budget 2000–2012","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1107,"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; GDG Environnement; University of Victoria; University of Toronto; Environment and Climate Change Canada","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Greenhouse gas; Methane; Environmental science; Atmospheric methane; Global warming; Carbon cycle; Carbon dioxide; Carbon dioxide in Earth's atmosphere; Atmospheric chemistry; Atmospheric carbon cycle; Atmospheric sciences; Climate change; Climatology; Meteorology; Carbon sequestration; Chemistry; Ecology; Geography; Oceanography; Ozone; Ecosystem; Geology","score_opus":0.01258815749272006,"score_gpt":0.2327477890092193,"score_spread":0.22015963151649925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2427928079","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":[0.09673993,0.1578189,0.00937455,0.016746782,0.0036477507,0.00016614115,0.5949753,0.0018946151,0.11863605],"genre_scores_gemma":[0.53543466,0.10288293,0.0100738015,0.0021256316,0.00095224543,0.00039258855,0.31028768,0.00051052484,0.03733999],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998173,0.000027943326,0.000016349983,0.000042728934,0.00007017245,0.000025530286],"domain_scores_gemma":[0.9995573,0.00003164031,0.0000773713,0.00002948262,0.00027896752,0.000025320818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000446322,0.0010339156,0.00023166367,0.0022797708,0.00019616523,0.0007646479,0.00029730043,0.0004278616,0.0040885317],"category_scores_gemma":[0.0013505773,0.000279441,0.00029550344,0.004684459,0.00017759994,0.0013133591,0.0005993576,0.00055061845,0.0018864449],"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":[0.0011310228,0.00006246432,0.03900395,0.00830289,0.00069065817,0.00035320138,0.00034361507,0.030881546,0.0074118893,0.024120338,0.38226,0.5054383],"study_design_scores_gemma":[0.000034274995,0.000038054084,0.08140566,0.0012051816,0.00016573476,0.00013113987,0.00012379208,0.0035774393,0.002993514,0.0027103103,0.9075777,0.000037274942],"about_ca_topic_score_codex":0.054602146,"about_ca_topic_score_gemma":0.03885914,"teacher_disagreement_score":0.054602146,"about_ca_system_score_codex":0.002479085,"about_ca_system_score_gemma":0.0022098804,"threshold_uncertainty_score":0.10856867},"labels":[],"label_agreement":null},{"id":"W2443622674","doi":"10.5194/essd-8-531-2016","title":"Global ocean particulate organic carbon flux merged with satelliteparameters","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":68,"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":"Japan Agency for Marine-Earth Science and Technology; Fisheries and Oceans Canada; Michigan Technological University; Goddard Space Flight Center; National Oceanic and Atmospheric Administration; Institut Français de Recherche pour l'Exploitation de la Mer; Woods Hole Oceanographic Institution; National Aeronautics and Space Administration","keywords":"Photic zone; Satellite; Environmental science; Sediment trap; Photosynthetically active radiation; Flux (metallurgy); Deep sea; Ocean color; Carbon fibers; Southern Hemisphere; Carbon cycle; Geology; Oceanography; Atmospheric sciences; Climatology; Water column; Phytoplankton; Photosynthesis","score_opus":0.016306982749187803,"score_gpt":0.20680661010433715,"score_spread":0.19049962735514936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2443622674","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":[0.22042336,0.00025722134,0.0011655536,0.00008462254,0.00010656886,0.00007027387,0.7682402,0.0011037013,0.008548375],"genre_scores_gemma":[0.19887862,0.00031982083,0.0050846357,0.00006916845,0.000083750354,0.00017650877,0.7924299,0.00019621206,0.002761333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975187,0.000014949931,0.000022255073,0.00009803811,0.00007607044,0.000036814108],"domain_scores_gemma":[0.9995091,0.000027417851,0.00009053471,0.00007551225,0.00025407365,0.000043399363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002553692,0.00092975557,0.00062000233,0.0029785836,0.000268511,0.00077882217,0.00037564858,0.00045873996,0.004521685],"category_scores_gemma":[0.00046942578,0.00031013263,0.00078354444,0.00629138,0.00012127319,0.0006422343,0.00059897784,0.00044258602,0.0026405212],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015684956,0.00047703,0.6153288,0.002140035,0.0024148792,0.000747066,0.00051150913,0.06652979,0.038683042,0.0021547768,0.121482655,0.14796193],"study_design_scores_gemma":[0.00015470419,0.00009997325,0.8769486,0.00008186798,0.0002667833,0.00008830024,0.00015773528,0.008343119,0.007852235,0.00040444595,0.105535425,0.00006677799],"about_ca_topic_score_codex":0.068125755,"about_ca_topic_score_gemma":0.04818874,"teacher_disagreement_score":0.068125755,"about_ca_system_score_codex":0.00058521185,"about_ca_system_score_gemma":0.00078933063,"threshold_uncertainty_score":0.13545841},"labels":[],"label_agreement":null},{"id":"W2522395321","doi":"10.5194/essd-9-221-2017","title":"A high space–time resolution dataset linking meteorological forcing and hydro-sedimentary response in a mesoscale Mediterranean catchment (Auzon) of the Ardèche region, France","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","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":"Amec Foster Wheeler (Canada)","funders":"Institut national des sciences de l'Univers; Centre National de la Recherche Scientifique; Réseau des Bassins Versants; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Agence Nationale de la Recherche; National Science Foundation","keywords":"Hydrometeorology; Environmental science; Flash flood; Mesoscale meteorology; Snowmelt; Surface runoff; Drainage basin; Mediterranean climate; Hydrology (agriculture); Precipitation; Meteorology; Snow; Climatology; Geology; Geography; Flood myth","score_opus":0.027830635710859974,"score_gpt":0.2536465629306849,"score_spread":0.2258159272198249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2522395321","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6453569,0.0008173318,0.0012031501,0.0003877584,0.000065051514,0.000119403194,0.34902522,0.0008563154,0.002168808],"genre_scores_gemma":[0.5599487,0.0003377331,0.0051219654,0.00010223601,0.00007936047,0.00023228464,0.43167403,0.00008545511,0.002418243],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9997485,0.000040705167,0.000015995347,0.00009396425,0.000059170234,0.000041751533],"domain_scores_gemma":[0.9996456,0.000054159267,0.000070611604,0.000060460297,0.000107738146,0.000061437946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046234214,0.0004788193,0.00045195103,0.0014198876,0.00021054652,0.00067774014,0.00054270896,0.000563865,0.0021932996],"category_scores_gemma":[0.0008059945,0.00016733412,0.00045109686,0.0013908183,0.000228403,0.0002823588,0.0004892694,0.00028765184,0.00063341146],"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":[0.0013767591,0.00081985025,0.6335666,0.0011239096,0.0014923329,0.0018722191,0.0010430873,0.08031144,0.018807933,0.0016389821,0.16244791,0.09549892],"study_design_scores_gemma":[0.00023242598,0.000056444784,0.9343559,0.00007108081,0.00003174456,0.00009086217,0.00021669215,0.01630992,0.0005983205,0.0001750656,0.0478298,0.00003182],"about_ca_topic_score_codex":0.16883646,"about_ca_topic_score_gemma":0.18213773,"teacher_disagreement_score":0.16883646,"about_ca_system_score_codex":0.0011392029,"about_ca_system_score_gemma":0.0007886431,"threshold_uncertainty_score":0.3357075},"labels":[],"label_agreement":null},{"id":"W2527489077","doi":"10.5194/essd-9-63-2017","title":"A sudden stratospheric warming compendium","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":419,"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":"Climate Program Office; National Oceanic and Atmospheric Administration","keywords":"Polar vortex; Compendium; Stratosphere; Sudden stratospheric warming; Climatology; Environmental science; Troposphere; Anomaly (physics); Westerlies; Atmospheric sciences; Geology; Geography","score_opus":0.06673669613943436,"score_gpt":0.2970136670223552,"score_spread":0.23027697088292085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2527489077","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":[0.006190625,0.0022028864,0.003367756,0.0005849478,0.0010934343,0.0005012133,0.95844305,0.0016462527,0.025969885],"genre_scores_gemma":[0.010579212,0.0017960798,0.00854294,0.00027746148,0.0003328647,0.00054567476,0.969696,0.00035957393,0.007870181],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991955,0.00008364544,0.00018471193,0.00011506142,0.00036883264,0.00005222541],"domain_scores_gemma":[0.9960918,0.0005298121,0.00053125643,0.00062081293,0.0019233348,0.00030306343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015188074,0.0010051788,0.00064384664,0.005468984,0.00042381746,0.0013088437,0.0012979488,0.00036529684,0.01379052],"category_scores_gemma":[0.003608908,0.0004883836,0.0006635373,0.0053504836,0.0001599139,0.0010955323,0.0013198566,0.0008305502,0.0073754922],"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":[0.000078998906,0.000038502312,0.0116565805,0.0010206536,0.00008706022,0.00013552867,0.0001417235,0.0016226042,0.001488844,0.0014103098,0.8968533,0.08546584],"study_design_scores_gemma":[0.000023901217,0.000022645712,0.032748364,0.0002175574,0.000034842196,0.00010568295,0.000038437032,0.0007629984,0.00065820344,0.00041518293,0.96494603,0.000026128868],"about_ca_topic_score_codex":0.027526744,"about_ca_topic_score_gemma":0.03396112,"teacher_disagreement_score":0.027526744,"about_ca_system_score_codex":0.0007567789,"about_ca_system_score_gemma":0.0031792405,"threshold_uncertainty_score":0.054733038},"labels":[],"label_agreement":null},{"id":"W2551863608","doi":"10.5194/essd-9-317-2017","title":"PeRL: a circum-Arctic Permafrost Region Pond and Lake database","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; Institut National de la Recherche Scientifique","funders":"","keywords":"Permafrost; Arctic; Tundra; Thermokarst; Physical geography; Ecoregion; Wetland; Environmental science; Boreal; Hydrology (agriculture); Database; Geology; Oceanography; Ecology; Geography","score_opus":0.11090948052088138,"score_gpt":0.2910291341862095,"score_spread":0.18011965366532812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2551863608","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":[0.0024164503,0.0001588409,0.0007015116,0.000043162512,0.0000074716413,0.000038390408,0.99305844,0.0015350006,0.0020406928],"genre_scores_gemma":[0.003029891,0.0000734249,0.0019584342,0.000021286405,0.0000035478188,0.0001270704,0.9943025,0.00011569372,0.00036815053],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994586,0.000065428794,0.00008751567,0.00016142991,0.00016615857,0.0000606986],"domain_scores_gemma":[0.9989845,0.000118128126,0.00017864445,0.00017307252,0.00042444747,0.00012124772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007604735,0.0009691092,0.0008833101,0.0040151263,0.0005481147,0.0012817584,0.0014810524,0.0005657562,0.017755799],"category_scores_gemma":[0.0021146908,0.00036140016,0.00049550174,0.006889217,0.00017717946,0.0015285391,0.001360882,0.0004963973,0.016979061],"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":[0.00031825708,0.00006004509,0.013537955,0.0015100021,0.00016428766,0.0002059242,0.00020082697,0.0016831072,0.0012352136,0.0018451262,0.94912827,0.030111035],"study_design_scores_gemma":[0.00041966603,0.000051189505,0.055070538,0.0004094662,0.00012904593,0.00024798035,0.00033580358,0.008197549,0.0020739918,0.0023721445,0.93060166,0.00009090094],"about_ca_topic_score_codex":0.035566293,"about_ca_topic_score_gemma":0.050000492,"teacher_disagreement_score":0.035566293,"about_ca_system_score_codex":0.00088847685,"about_ca_system_score_gemma":0.0020508578,"threshold_uncertainty_score":0.07071859},"labels":[],"label_agreement":null},{"id":"W2553943761","doi":"10.5194/essd-9-193-2017","title":"KRILLBASE: a circumpolar database of Antarctic krill and salp numerical densities, 1926–2016","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":120,"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; Norges Forskningsråd; Sight Research UK; Havforskningsinstituttet; World Wildlife Fund; Universitetet i Bergen; National Science Foundation","keywords":"Krill; Antarctic krill; Euphausia; Circumpolar star; Abundance (ecology); Oceanography; Food web; Sampling (signal processing); Geography; Environmental science; Pelagic zone; Fishery; Ecology; Biology; Trophic level; Computer science; Geology","score_opus":0.038060782197510364,"score_gpt":0.2882875185378788,"score_spread":0.25022673634036846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2553943761","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":[0.0042665293,0.0003562968,0.00078348076,0.000060169998,0.000029675786,0.000040850075,0.9907603,0.001235851,0.0024667417],"genre_scores_gemma":[0.009613056,0.0003634306,0.0030368678,0.000059836806,0.000013297302,0.000120109406,0.9853548,0.0003590027,0.0010796727],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940324,0.000052049887,0.00020473004,0.000114752605,0.00016190924,0.000063318046],"domain_scores_gemma":[0.9970515,0.00037004164,0.0007212879,0.00041522217,0.0010458084,0.00039620398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081440236,0.00078385585,0.0006635196,0.0058725555,0.00027668447,0.001166414,0.0011554109,0.00039753583,0.023617633],"category_scores_gemma":[0.004536347,0.00045977245,0.0003295989,0.008012256,0.00019152022,0.0016463528,0.0017686337,0.0005292443,0.02159615],"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":[0.00071735546,0.000053081618,0.05711901,0.0028808035,0.00021512352,0.0002787319,0.00070961355,0.0015214726,0.0022239755,0.0026310158,0.8469116,0.084738255],"study_design_scores_gemma":[0.000079461875,0.000027941744,0.06484663,0.00051827537,0.00006911178,0.00022577013,0.00047419965,0.000954101,0.0018630497,0.0007726631,0.9300896,0.00007918704],"about_ca_topic_score_codex":0.033603147,"about_ca_topic_score_gemma":0.038522325,"teacher_disagreement_score":0.033603147,"about_ca_system_score_codex":0.0007311169,"about_ca_system_score_gemma":0.0019847834,"threshold_uncertainty_score":0.07900882},"labels":[],"label_agreement":null},{"id":"W2603836813","doi":"10.5194/essd-9-639-2017","title":"Global Inventory of Gas Geochemistry Data from Fossil Fuel, Microbial and Burning Sources, version 2017","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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":"Dalhousie University","funders":"National Oceanic and Atmospheric Administration; Cooperative Institute for Research in Environmental Sciences","keywords":"Fossil fuel; Environmental science; Methane; Earth science; Geology; Ecology","score_opus":0.025380807727743007,"score_gpt":0.24464924275857378,"score_spread":0.21926843503083077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603836813","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":[0.006058832,0.00043169566,0.00042992592,0.00004848614,0.000044685206,0.00002413931,0.99061275,0.00035647396,0.0019930021],"genre_scores_gemma":[0.0060272226,0.00048901635,0.0006525692,0.000014040721,0.000011091226,0.00003313591,0.9917818,0.00007130997,0.00091985107],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995016,0.000028556913,0.00006889147,0.00010725631,0.00022878814,0.00006499576],"domain_scores_gemma":[0.9984213,0.000090005284,0.0002364215,0.00019282695,0.0009673814,0.000092032744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00079076365,0.0016523508,0.00064524135,0.0057020294,0.0002866299,0.0009852729,0.00060625735,0.0003639825,0.008511448],"category_scores_gemma":[0.0014733844,0.00040088518,0.00057657436,0.0122111635,0.0002196386,0.0012151159,0.00093659014,0.0005342209,0.012335066],"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":[0.0007719516,0.000104362654,0.12748379,0.0054348744,0.000955104,0.00043692163,0.00027157323,0.01212737,0.013093147,0.005541713,0.6837885,0.1499907],"study_design_scores_gemma":[0.000084588944,0.00005677235,0.12526095,0.0004537426,0.00022447947,0.00018453666,0.00021932754,0.0027923805,0.009467548,0.0012875606,0.85990065,0.00006740926],"about_ca_topic_score_codex":0.049520005,"about_ca_topic_score_gemma":0.023778295,"teacher_disagreement_score":0.049520005,"about_ca_system_score_codex":0.0010078936,"about_ca_system_score_gemma":0.004101117,"threshold_uncertainty_score":0.098463535},"labels":[],"label_agreement":null},{"id":"W2607326664","doi":"10.5194/essd-9-589-2017","title":"Multibeam bathymetry and CTD measurements in two fjord systems in southeastern Greenland","year":2017,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","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 Ottawa","funders":"Kongelige Danske Videnskabernes Selskab; Danmarks Frie Forskningsfond; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel","keywords":"CTD; Bathymetry; Fjord; Oceanography; Geology","score_opus":0.13581170258895608,"score_gpt":0.2951149374769161,"score_spread":0.15930323488796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607326664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886596,0.000045102253,0.00014679407,0.000011239661,0.0000027722094,0.0000052943396,0.0005568466,0.000010629549,0.0003554238],"genre_scores_gemma":[0.9976705,0.00004039056,0.000824478,0.000024650211,0.0000022940453,0.0000090411395,0.0010035255,0.0000058088212,0.00041935043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998425,0.000017126178,0.000014291264,0.00005087111,0.00003162007,0.00004362276],"domain_scores_gemma":[0.99983764,0.000014601136,0.000039351664,0.00001713825,0.000050203114,0.00004110621],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026138863,0.0001993296,0.00021339745,0.0012011611,0.00038371971,0.0005033905,0.0002936535,0.00026401976,0.00048294847],"category_scores_gemma":[0.00030084458,0.00012774492,0.0001773681,0.0011336225,0.0002839987,0.00025136024,0.00054893555,0.000105590545,0.00014116117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013248307,0.00005625436,0.96714884,0.000032296586,0.00006094967,0.00036138308,0.0009881667,0.0010965142,0.0108836405,0.000048498918,0.0004654877,0.018725628],"study_design_scores_gemma":[0.0000027272554,0.000008547079,0.99855727,0.00000526115,0.0000067291776,0.000023541901,0.00033340103,0.0005543256,0.00018079292,0.0000059680124,0.00031928116,0.000002192099],"about_ca_topic_score_codex":0.246708,"about_ca_topic_score_gemma":0.5729947,"teacher_disagreement_score":0.246708,"about_ca_system_score_codex":0.0011445922,"about_ca_system_score_gemma":0.0008191059,"threshold_uncertainty_score":0.49054402},"labels":[],"label_agreement":null},{"id":"W2624211860","doi":"10.5194/essd-10-251-2018","title":"Photosynthesis–irradiance parameters of marine phytoplankton: synthesis of a global data set","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":119,"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 Centre for Earth Observation; Natural Environment Research Council; Sight Research UK; European Space Agency; Simons Foundation","keywords":"Phytoplankton; Environmental science; Irradiance; Biogeochemical cycle; Data assimilation; Satellite; Chlorophyll a; Range (aeronautics); Remote sensing; Computer science; Meteorology; Ecology; Geography; Biology; Nutrient","score_opus":0.0469105868287617,"score_gpt":0.2545951670496241,"score_spread":0.2076845802208624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624211860","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":[0.3351113,0.0012795429,0.024319487,0.00013459724,0.00005442236,0.00040186167,0.63103,0.002374086,0.005294693],"genre_scores_gemma":[0.2499476,0.0006432084,0.031622615,0.000055754783,0.000025551097,0.00069766236,0.7160539,0.00028759913,0.0006660732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906486,0.0001300083,0.00014856379,0.00032521374,0.00028013185,0.000051281593],"domain_scores_gemma":[0.9957087,0.0009023379,0.0006035929,0.0010876211,0.001464056,0.00023372579],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001588644,0.0013351064,0.0012720762,0.0049991333,0.00035393512,0.0007910614,0.0007536972,0.0007146033,0.0024416451],"category_scores_gemma":[0.0029497829,0.00052197825,0.00090315024,0.007274641,0.0002187896,0.0010140375,0.0013304207,0.00059749733,0.0019091099],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00086965034,0.0008523883,0.45540968,0.0032681646,0.0015809796,0.0006630952,0.00055881747,0.08796945,0.03793647,0.0013416447,0.05248648,0.3570632],"study_design_scores_gemma":[0.00011071378,0.00034841624,0.9220943,0.00022247266,0.00034644577,0.00024751938,0.0003417773,0.016992757,0.009659216,0.0005701142,0.048945755,0.00012055357],"about_ca_topic_score_codex":0.011353426,"about_ca_topic_score_gemma":0.009582891,"teacher_disagreement_score":0.011353426,"about_ca_system_score_codex":0.0006136169,"about_ca_system_score_gemma":0.0010606793,"threshold_uncertainty_score":0.022574723},"labels":[],"label_agreement":null},{"id":"W2697314439","doi":"10.5194/essd-10-27-2018","title":"Over 10 million seawater temperature records for the United Kingdom Continental Shelf between 1880 and 2014 from 17 Cefas (United Kingdom government) marine data systems","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and fisheries research","field":"Environmental Science","cited_by":16,"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":"Oceanography; Seawater; Environmental science; Sea surface temperature; Government (linguistics); Fishery; Meteorology; Geography; Geology","score_opus":0.0642512372422009,"score_gpt":0.29113316513924525,"score_spread":0.22688192789704437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2697314439","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":[0.07915222,0.00081375585,0.0005481787,0.00016590062,0.00007541343,0.00008074324,0.9136679,0.00022591872,0.0052699484],"genre_scores_gemma":[0.09512089,0.00059271156,0.0012757529,0.00010810655,0.000018882629,0.00027902046,0.89834005,0.00006726843,0.0041972506],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99899656,0.0000870473,0.00022875368,0.00021602225,0.00035005875,0.00012165607],"domain_scores_gemma":[0.9961843,0.00029519704,0.00096873153,0.0003857499,0.0019498842,0.00021623538],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058611366,0.0006777265,0.00042465702,0.004138313,0.00037465166,0.0007466296,0.00062522956,0.00037148054,0.005911231],"category_scores_gemma":[0.004495097,0.0003787386,0.00032753183,0.0075927367,0.00022601419,0.00066463795,0.0012574495,0.0003069648,0.0044413363],"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":[0.0006531781,0.000061156075,0.4924238,0.002907368,0.0005819301,0.00058092317,0.0018063468,0.0024513085,0.0026777377,0.0013536907,0.41886026,0.07564222],"study_design_scores_gemma":[0.000039143604,0.000038122114,0.75831884,0.0004348153,0.000055737724,0.00011180705,0.0010098321,0.00044535552,0.00083614053,0.000076738484,0.23859203,0.000041426374],"about_ca_topic_score_codex":0.23251022,"about_ca_topic_score_gemma":0.30177435,"teacher_disagreement_score":0.23251022,"about_ca_system_score_codex":0.0017038707,"about_ca_system_score_gemma":0.0018005413,"threshold_uncertainty_score":0.4623137},"labels":[],"label_agreement":null},{"id":"W2754570161","doi":"10.5194/essd-10-469-2018","title":"A global space-based stratospheric aerosol climatology: 1979–2016","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":327,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Aerosol; Stratosphere; Environmental science; Troposphere; Atmospheric sciences; Meteorology; Climatology; Satellite; Latitude; Lidar; Remote sensing; Geology; Geography; Physics","score_opus":0.02683256689346992,"score_gpt":0.25775377258295346,"score_spread":0.23092120568948354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2754570161","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":[0.2601007,0.0018583621,0.0032458028,0.0007367997,0.00038442586,0.00031037602,0.705109,0.0009324518,0.027322067],"genre_scores_gemma":[0.36193562,0.0012797705,0.013722484,0.00025513206,0.00024295006,0.00026479602,0.616339,0.000231167,0.0057290555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998325,0.000011235795,0.000023371536,0.000047760393,0.000066080975,0.000019120096],"domain_scores_gemma":[0.99965656,0.000007345688,0.000053376712,0.00004708857,0.0001994197,0.000036223628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033148463,0.00047883147,0.00029238156,0.0017929391,0.00030124266,0.0005746328,0.0003637865,0.0002503989,0.0019903148],"category_scores_gemma":[0.00040840855,0.00014773081,0.0003338025,0.0021181412,0.00014541458,0.00055794045,0.00061833963,0.00047132355,0.001239626],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035411236,0.00026479622,0.5351366,0.0015462146,0.00097194733,0.00047321816,0.0009876756,0.024682676,0.036012284,0.007134503,0.2408182,0.15161793],"study_design_scores_gemma":[0.000068614594,0.000056479377,0.686328,0.00014719546,0.00010992263,0.00013198644,0.00018806737,0.0055089593,0.0056786146,0.00052508165,0.30122027,0.000036801284],"about_ca_topic_score_codex":0.07596586,"about_ca_topic_score_gemma":0.089864366,"teacher_disagreement_score":0.07596586,"about_ca_system_score_codex":0.00092784624,"about_ca_system_score_gemma":0.0018071058,"threshold_uncertainty_score":0.15104735},"labels":[],"label_agreement":null},{"id":"W2759787205","doi":"10.5194/essd-10-595-2018","title":"Daily temperature records from a mesonet in the foothills of the Canadian Rocky Mountains, 2005–2010","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"University of Victoria; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; University of Calgary","keywords":"Foothills; Mesoscale meteorology; Environmental science; Range (aeronautics); Sampling (signal processing); Lapse rate; Air temperature; Altitude (triangle); Climatology; Physical geography; Geography; Geology; Filter (signal processing); Cartography","score_opus":0.03305986438382933,"score_gpt":0.23182052633973715,"score_spread":0.19876066195590783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759787205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88517,0.0010811538,0.0005783769,0.0002562819,0.000040447336,0.00010579637,0.103800096,0.00015608322,0.008811914],"genre_scores_gemma":[0.9196513,0.00073940033,0.0016832221,0.000108903834,0.000016639831,0.00007342664,0.067153305,0.00003019211,0.010543551],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996556,0.000012831686,0.000015136531,0.00006471327,0.00016877352,0.00008302179],"domain_scores_gemma":[0.99856347,0.000031857613,0.00013213317,0.00003641392,0.0010384594,0.00019763954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031431927,0.00038484548,0.0002848632,0.0019314464,0.0018743568,0.0007661901,0.0008825794,0.00022335524,0.0017758253],"category_scores_gemma":[0.0006744607,0.00018682156,0.00020642858,0.0042513018,0.00033095095,0.00025480252,0.000501855,0.00035198446,0.0004714356],"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":[0.00029877896,0.00007026062,0.9206347,0.00021626381,0.00015157895,0.0002521936,0.0016661447,0.0027957717,0.002596353,0.00037353535,0.038102858,0.03284155],"study_design_scores_gemma":[0.000008824302,0.000012496897,0.98760104,0.000034566434,0.000018786206,0.000030137679,0.0008491082,0.0009230163,0.00025159816,0.000015443535,0.010240095,0.000014806732],"about_ca_topic_score_codex":0.99698085,"about_ca_topic_score_gemma":0.9993099,"teacher_disagreement_score":0.017026218,"about_ca_system_score_codex":0.017026218,"about_ca_system_score_gemma":0.01807992,"threshold_uncertainty_score":0.12353444},"labels":[],"label_agreement":null},{"id":"W2763155498","doi":"10.5194/essd-10-325-2018","title":"The Alberta smoke plume observation study","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Alberta Ministry of Agriculture and Forestry; Environment and Climate Change Canada; Natural Resources Canada","funders":"Natural Resources Canada; Alberta Agriculture and Forestry","keywords":"Plume; Environmental science; Smoke; Meteorology; Atmospheric sciences; Climatology; Geology; Geography","score_opus":0.03806327434197279,"score_gpt":0.26946304819242234,"score_spread":0.23139977385044955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2763155498","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9665688,0.0009069025,0.0016698985,0.0006286188,0.00004376563,0.0005155298,0.010421151,0.00009816419,0.019147206],"genre_scores_gemma":[0.97339994,0.0008771408,0.003820441,0.00040914724,0.000022040613,0.00029719892,0.009383968,0.000019292007,0.011770868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995353,0.000043563632,0.000010074528,0.00004746988,0.00026001316,0.000103531485],"domain_scores_gemma":[0.9992041,0.000053634467,0.00006599561,0.00003951432,0.0004527305,0.00018408378],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008683669,0.0003259137,0.00016961894,0.0010883813,0.0017403673,0.0006801203,0.00080168433,0.0002425506,0.0018045426],"category_scores_gemma":[0.0007910169,0.00025292646,0.00017692454,0.0015964493,0.00041001436,0.00034283655,0.00068042363,0.0004607833,0.00036802786],"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":[0.00044402806,0.00036907283,0.8980883,0.00013012264,0.00006872758,0.0011185408,0.007301798,0.000863223,0.004107185,0.0010397062,0.013846035,0.07262314],"study_design_scores_gemma":[0.00002720754,0.00010891499,0.9806292,0.000050576662,0.000025159958,0.00012810407,0.0050733667,0.0007692147,0.0006641596,0.0001292013,0.012373051,0.000021866897],"about_ca_topic_score_codex":0.9520862,"about_ca_topic_score_gemma":0.9840149,"teacher_disagreement_score":0.04791379,"about_ca_system_score_codex":0.011174437,"about_ca_system_score_gemma":0.013259132,"threshold_uncertainty_score":0.09639186},"labels":[],"label_agreement":null},{"id":"W2782369283","doi":"10.5194/essd-10-985-2018","title":"History of chemically and radiatively important atmospheric gases from the Advanced Global Atmospheric Gases Experiment (AGAGE)","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":373,"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":"Bundesamt für Umwelt; Ministry of Environment; Sight Research UK; National Oceanic and Atmospheric Administration; University of Bristol; Natural Environment Research Council; Department of the Environment and Energy, Australian Government; National Research Foundation of Korea; Commonwealth Scientific and Industrial Research Organisation; National Research Foundation; Met Office; Miljødirektoratet","keywords":"Greenhouse gas; Stratosphere; Ozone depletion; Environmental science; Ozone layer; Ozone; Atmospheric sciences; Nitrous oxide; Atmospheric chemistry; Methane; Atmosphere of Earth; Global warming; Carbon dioxide; NOx; Environmental chemistry; Chemistry; Atmosphere (unit); Climate change; Meteorology; Oceanography; Combustion; Physics","score_opus":0.013248252089382753,"score_gpt":0.22574018124898312,"score_spread":0.21249192915960036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782369283","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":[0.30537662,0.010831813,0.013213616,0.0035185795,0.0014035593,0.000446416,0.6018335,0.0015548882,0.06182105],"genre_scores_gemma":[0.487244,0.005169145,0.022578564,0.0011714945,0.00046444015,0.00067083474,0.47568256,0.00034207088,0.006676904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994267,0.00006959617,0.000035326848,0.00013813107,0.00027395374,0.0000562386],"domain_scores_gemma":[0.9984444,0.00013345543,0.00025642742,0.00018670513,0.00085009023,0.00012901596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013936383,0.0006710514,0.0003277461,0.0022237783,0.0008885064,0.000977038,0.0005525263,0.00070374174,0.0010882439],"category_scores_gemma":[0.0015412956,0.00024541488,0.00039362212,0.0046723927,0.00027325755,0.0011045618,0.0009433491,0.0010581848,0.0007495683],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077183644,0.00034295107,0.61595213,0.0016716332,0.00082401803,0.0003789651,0.00075255247,0.014785224,0.014464463,0.012662593,0.20532838,0.13206527],"study_design_scores_gemma":[0.000047207966,0.0000660373,0.62429744,0.00017467205,0.00012328346,0.000091036956,0.000146479,0.0031368283,0.005664726,0.0015632958,0.3646072,0.00008179083],"about_ca_topic_score_codex":0.085287556,"about_ca_topic_score_gemma":0.087310426,"teacher_disagreement_score":0.085287556,"about_ca_system_score_codex":0.0014362151,"about_ca_system_score_gemma":0.0013627185,"threshold_uncertainty_score":0.1695823},"labels":[],"label_agreement":null},{"id":"W2792069933","doi":"10.5194/essd-10-2055-2018","title":"Northern Hemisphere surface freeze–thaw product from Aquarius L-band radiometers","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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 du Québec à Trois-Rivières; Center for Northern Studies; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; National Aeronautics and Space Administration","keywords":"Tundra; Environmental science; Northern Hemisphere; Radiometer; Atmospheric sciences; Satellite; Climatology; Land cover; Remote sensing; Meteorology; Arctic; Geology; Physics; Land use","score_opus":0.04186975370424844,"score_gpt":0.2387643089716846,"score_spread":0.19689455526743616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792069933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60346985,0.0005434979,0.019584572,0.00018103945,0.0001626597,0.00020341655,0.3506505,0.0059551066,0.019249316],"genre_scores_gemma":[0.6551312,0.00029250627,0.025569648,0.00015239854,0.000075150485,0.00022629599,0.3131487,0.00043743206,0.004966732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981254,0.00001727049,0.00001270491,0.000050244627,0.00008693125,0.00002027124],"domain_scores_gemma":[0.99965084,0.000021633956,0.00008765312,0.00005045472,0.00017216697,0.000017193568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003031664,0.0005330312,0.00023842687,0.00093555334,0.00016108758,0.00035387016,0.0003281657,0.00019935297,0.0030480914],"category_scores_gemma":[0.00048350304,0.00011478387,0.00026405323,0.0012719659,0.000099256315,0.0004023527,0.0002837229,0.00020386367,0.0011445534],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014025938,0.00016032986,0.48538664,0.0006948622,0.00066518097,0.00048275263,0.00036002148,0.0331131,0.059439525,0.0011218631,0.14550506,0.27166814],"study_design_scores_gemma":[0.000110851346,0.00007710228,0.8944757,0.0000445993,0.00009275173,0.00015430365,0.00016716518,0.025958609,0.01683746,0.00058523205,0.061445255,0.00005095975],"about_ca_topic_score_codex":0.020002339,"about_ca_topic_score_gemma":0.0192153,"teacher_disagreement_score":0.020002339,"about_ca_system_score_codex":0.0003672062,"about_ca_system_score_gemma":0.0002989136,"threshold_uncertainty_score":0.039771795},"labels":[],"label_agreement":null},{"id":"W2795848797","doi":"10.5194/essd-10-1403-2018","title":"North Atlantic subpolar gyre along predetermined ship tracks since 1993: a monthly data set of surface temperature, salinity, and density","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Centre National de la Recherche Scientifique","keywords":"Ocean gyre; Transect; Oceanography; Geology; Temperature salinity diagrams; Salinity; Continental shelf; Sea surface temperature; Climatology; Structural basin; Hydrography; Subtropics; Fishery; Geomorphology","score_opus":0.03785336924144278,"score_gpt":0.24784125366040305,"score_spread":0.20998788441896027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2795848797","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7896052,0.00018799864,0.0008827956,0.000049641203,0.000036689733,0.00004866179,0.20697111,0.00022366413,0.00199409],"genre_scores_gemma":[0.5928122,0.00026779636,0.0045032343,0.00003563668,0.00003778564,0.00017154764,0.40016004,0.00007069305,0.0019409821],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99968755,0.000025670764,0.00003381852,0.00008876814,0.0001091595,0.000055015513],"domain_scores_gemma":[0.9984761,0.00006965886,0.00044823714,0.00018271426,0.0006386752,0.00018463227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037965085,0.00045449848,0.00035641756,0.0017374818,0.00034654638,0.0007166086,0.00024581555,0.00019923193,0.0012410926],"category_scores_gemma":[0.00087622716,0.00018679093,0.00025723418,0.0032496206,0.00015686042,0.00032594445,0.00045957966,0.00031806322,0.000983692],"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":[0.00013534569,0.00005628607,0.97177786,0.000059413378,0.00014296758,0.00008734659,0.00025579674,0.0010204097,0.0016144179,0.0000543799,0.009217416,0.015578372],"study_design_scores_gemma":[0.000003733742,0.000009461816,0.9950558,0.000006874545,0.000011993203,0.00002388639,0.000091069836,0.000343783,0.00021288347,0.0000081499475,0.004228335,0.000004077767],"about_ca_topic_score_codex":0.20649783,"about_ca_topic_score_gemma":0.3665565,"teacher_disagreement_score":0.20649783,"about_ca_system_score_codex":0.00083455653,"about_ca_system_score_gemma":0.0010719723,"threshold_uncertainty_score":0.41059178},"labels":[],"label_agreement":null},{"id":"W2797680239","doi":"10.5194/essd-10-1655-2018","title":"The Cariboo Alpine Mesonet: sub-hourly hydrometeorological observations of British Columbia's Cariboo Mountains and surrounding area since 2006","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hydrometeorology; Snow; Environmental science; Tundra; Automatic weather station; Snowmelt; Alpine climate; Climatology; Hydrology (agriculture); Meteorology; Precipitation; Geology; Geography; Arctic","score_opus":0.050314847615137825,"score_gpt":0.23465453000744094,"score_spread":0.1843396823923031,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797680239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8109087,0.0017655955,0.00090293115,0.0003145619,0.000054424534,0.000106955034,0.1657346,0.0003469771,0.019865273],"genre_scores_gemma":[0.85565186,0.0019261099,0.0030229455,0.00018913636,0.00002527522,0.00015396577,0.11950335,0.00009550255,0.019431787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998312,0.000008558546,0.000010370549,0.000039587758,0.000073954165,0.000036392405],"domain_scores_gemma":[0.99912065,0.000029810579,0.0000688953,0.000040449348,0.00059920107,0.00014105668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015796602,0.00023496302,0.0001906275,0.0015347302,0.000853556,0.00095957867,0.00033963012,0.00016613919,0.0028269861],"category_scores_gemma":[0.000609496,0.00013452054,0.00008794956,0.0032422226,0.00013822099,0.00020729662,0.0005376114,0.00025103427,0.0007985754],"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":[0.0001392925,0.000078838115,0.8412276,0.00019924493,0.000085488566,0.0003184007,0.0016124733,0.0018294583,0.0022371574,0.00021643555,0.074328266,0.07772746],"study_design_scores_gemma":[0.0000065574254,0.0000066929474,0.96373916,0.00008021774,0.000011684647,0.000037243353,0.0011346869,0.0010524354,0.00027938857,0.00002119975,0.033616655,0.000014016028],"about_ca_topic_score_codex":0.97806245,"about_ca_topic_score_gemma":0.993156,"teacher_disagreement_score":0.02193755,"about_ca_system_score_codex":0.0037337204,"about_ca_system_score_gemma":0.0049071447,"threshold_uncertainty_score":0.044133425},"labels":[],"label_agreement":null},{"id":"W2800686334","doi":"10.5194/essd-10-1901-2018","title":"SURATLANT: a 1993–2017 surface sampling in the central part of the North Atlantic subpolar gyre","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":17,"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":"Ocean gyre; Oceanography; Alkalinity; Salinity; Water mass; δ18O; Environmental science; Transect; Geology; Tropical Atlantic; Surface water; Carbonate; Climatology; Stable isotope ratio; Dissolved organic carbon; Subtropics; Sea surface temperature","score_opus":0.05022188540387903,"score_gpt":0.23942634926120582,"score_spread":0.18920446385732678,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800686334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90494496,0.00026199783,0.00059599587,0.00011475523,0.000037918482,0.0001388504,0.090553164,0.000079400736,0.003273017],"genre_scores_gemma":[0.7943143,0.00024152608,0.003821623,0.00024785099,0.00007283353,0.0004224064,0.19606245,0.000075398915,0.004741685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996369,0.000070585884,0.000026673593,0.000116453266,0.000079396355,0.00007001707],"domain_scores_gemma":[0.9990004,0.00006896353,0.00022875499,0.0001288585,0.00039190438,0.00018118079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052897,0.00031258928,0.0002764938,0.00076483586,0.0005401153,0.0006381664,0.00042621882,0.00026350902,0.0020236059],"category_scores_gemma":[0.00063938793,0.00018774139,0.00028070295,0.001265965,0.0001809011,0.0002554895,0.0006085829,0.00027641526,0.0009864945],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002775111,0.000116828676,0.96608824,0.00006439782,0.00012954627,0.0002067218,0.00055965036,0.00042141855,0.002616746,0.000094664625,0.014560205,0.014864082],"study_design_scores_gemma":[0.000020023843,0.000032244418,0.99257904,0.000014596066,0.000016671902,0.000040677933,0.00035586112,0.0005129446,0.00015988784,0.000009352749,0.0062539494,0.0000048246784],"about_ca_topic_score_codex":0.4853003,"about_ca_topic_score_gemma":0.64606375,"teacher_disagreement_score":0.4853003,"about_ca_system_score_codex":0.0016095923,"about_ca_system_score_gemma":0.0021175353,"threshold_uncertainty_score":0.9649511},"labels":[],"label_agreement":null},{"id":"W2800761663","doi":"10.5194/essd-10-1753-2018","title":"Hydrometeorological data from Baker Creek Research Watershed, Northwest Territories, Canada","year":2018,"lang":"en","type":"article","venue":"Earth system science data","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":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Science and Technology Directorate; Association of Research Libraries; Environment and Climate Change Canada; Compute Canada; Canadian Association of Research Libraries; University of Saskatchewan","keywords":"Hydrometeorology; Snowpack; Watershed; Interflow; Environmental science; Streamflow; Hydrology (agriculture); Snow; Snowmelt; Geology; Precipitation; Groundwater; Drainage basin; Meteorology; Geography; Geomorphology","score_opus":0.2317864050847634,"score_gpt":0.3310365618460397,"score_spread":0.0992501567612763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800761663","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":[0.026391072,0.00031766406,0.00029790308,0.00022129032,0.0000278164,0.00007127827,0.96118057,0.00021005685,0.011282326],"genre_scores_gemma":[0.076747105,0.00065967033,0.0019658653,0.00014382783,0.00001429249,0.00016344414,0.9050414,0.00008968718,0.015174638],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99929523,0.000017183487,0.000045503035,0.000117620926,0.0003816672,0.00014273482],"domain_scores_gemma":[0.99635077,0.000085124986,0.00016545702,0.0001102992,0.002985092,0.0003032689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036284805,0.0005657325,0.0005089826,0.0030849867,0.0019712613,0.0014660298,0.0012350783,0.0003326734,0.0100039225],"category_scores_gemma":[0.001561347,0.0002900079,0.00029005046,0.00938549,0.00033713385,0.00042347598,0.0006219613,0.000509575,0.003698387],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019178614,0.000107903776,0.19885534,0.000536192,0.00012435294,0.00018981205,0.00062004244,0.0028298658,0.0007717734,0.0017709024,0.75699157,0.03701044],"study_design_scores_gemma":[0.00009155591,0.000019652281,0.6263963,0.00035831166,0.00006062191,0.00006869211,0.0020612236,0.004020554,0.001354093,0.000430239,0.36505032,0.00008843734],"about_ca_topic_score_codex":0.99632436,"about_ca_topic_score_gemma":0.9983804,"teacher_disagreement_score":0.019329587,"about_ca_system_score_codex":0.019329587,"about_ca_system_score_gemma":0.05347219,"threshold_uncertainty_score":0.14024663},"labels":[],"label_agreement":null},{"id":"W2803340838","doi":"10.5194/essd-10-1859-2018","title":"A global compilation of coccolithophore calcification rates","year":2018,"lang":"en","type":"article","venue":"Earth system science data","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":"University of British Columbia; University of Victoria; Fisheries and Oceans Canada","funders":"Ministerio de Ciencia e Innovación; Natural Environment Research Council; Sight Research UK; National Aeronautics and Space Administration; National Science Foundation","keywords":"Emiliania huxleyi; Photic zone; Coccolithophore; Oceanography; Pelagic zone; Environmental science; Total inorganic carbon; Deep sea; Carbon cycle; Carbonate; Irradiance; Phytoplankton; Geology; Atmospheric sciences; Chemistry; Ecology; Biology; Nutrient; Physics","score_opus":0.040523012283439026,"score_gpt":0.2811825972919913,"score_spread":0.24065958500855228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803340838","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":[0.071157984,0.0034949726,0.0065014698,0.00008673484,0.00013109302,0.00008344876,0.89958304,0.003500016,0.015461353],"genre_scores_gemma":[0.09733356,0.0022739475,0.017253283,0.00010826298,0.000103778846,0.00021815086,0.8785652,0.0010801202,0.0030636403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989491,0.00007175281,0.00016564694,0.00043982896,0.00028071736,0.000092973314],"domain_scores_gemma":[0.9952769,0.00046857665,0.0012398729,0.0007153449,0.001851949,0.00044737337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009688788,0.0013696332,0.00076404476,0.011642186,0.0003745606,0.0013022976,0.00071164325,0.00038003357,0.0065814615],"category_scores_gemma":[0.0032686342,0.00047483755,0.0009012634,0.014795045,0.0002326307,0.0011297301,0.0012183714,0.0006253905,0.005793387],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004667143,0.000102969265,0.49437633,0.004820048,0.0016408975,0.0003505238,0.0010367444,0.004311903,0.019100428,0.00120597,0.21678106,0.25580645],"study_design_scores_gemma":[0.000033037853,0.000057886486,0.7314365,0.00033022402,0.00032484432,0.00038092013,0.00020348643,0.001515948,0.0033745947,0.00031237144,0.26195225,0.0000778192],"about_ca_topic_score_codex":0.022262556,"about_ca_topic_score_gemma":0.022900824,"teacher_disagreement_score":0.022262556,"about_ca_system_score_codex":0.00053469976,"about_ca_system_score_gemma":0.0013514097,"threshold_uncertainty_score":0.044265926},"labels":[],"label_agreement":null},{"id":"W2810098250","doi":"10.5194/essd-10-2069-2018","title":"The Berkeley High Resolution Tropospheric NO <sub>2</sub> product","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":50,"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":"Smithsonian Astrophysical Observatory; University of California Berkeley; National Aeronautics and Space Administration; National Science Foundation","keywords":"Environmental science; Troposphere; Product (mathematics); Meteorology; Ozone Monitoring Instrument; A priori and a posteriori; Satellite; Atmospheric sciences; Remote sensing; Image resolution; Climatology; Geology; Geography; Physics; Mathematics; Optics","score_opus":0.016400638922719,"score_gpt":0.21895916565523513,"score_spread":0.20255852673251612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810098250","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":[0.036958266,0.0011088848,0.03604284,0.0009260981,0.0012634237,0.00033017047,0.7453593,0.06856113,0.10944993],"genre_scores_gemma":[0.058631994,0.0004826076,0.079184145,0.0005103418,0.00020169486,0.00029059796,0.83021766,0.008542999,0.021938039],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993455,0.000037260877,0.000027648215,0.00012247727,0.0004077239,0.000059488168],"domain_scores_gemma":[0.9990741,0.000052114785,0.00006288377,0.00023456944,0.00051747356,0.000058828944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073284615,0.0007832208,0.0006503431,0.0008508915,0.00053418445,0.0015463546,0.0013936211,0.0006831396,0.029609483],"category_scores_gemma":[0.0015239503,0.00061903783,0.00054184446,0.001328822,0.00017463807,0.0015093065,0.00077604706,0.0012042566,0.025409494],"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":[0.0005199858,0.00011359739,0.013853882,0.0004696959,0.00018056759,0.00019728174,0.000078032805,0.0068847816,0.014788013,0.0022662694,0.8361231,0.12452486],"study_design_scores_gemma":[0.00036297712,0.00006339656,0.028642317,0.00009590825,0.0000818568,0.000106877735,0.00005317449,0.023435773,0.01744584,0.0012332851,0.92835754,0.00012108247],"about_ca_topic_score_codex":0.03297388,"about_ca_topic_score_gemma":0.04348265,"teacher_disagreement_score":0.03297388,"about_ca_system_score_codex":0.0006418472,"about_ca_system_score_gemma":0.0009774454,"threshold_uncertainty_score":0.09905356},"labels":[],"label_agreement":null},{"id":"W2810313091","doi":"10.5194/essd-12-1561-2020","title":"Global Methane Budget 2000–2020","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement; Université du Québec à Montréal; University of Toronto; Environment and Climate Change Canada","funders":"United Nations Environment Programme; Lawrence Berkeley National Laboratory; Biological and Environmental Research; Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; University of California, Irvine; Office of Science; U.S. Department of Energy; Vetenskapsrådet; Bundesministerium für Bildung und Forschung; Swedish National Space Agency; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; European Commission; National Science Foundation; University of Minnesota; Belgian Federal Science Policy Office; Sight Research UK; National Aeronautics and Space Administration; Agence Nationale de la Recherche; Environmental Restoration and Conservation Agency; Svenska Forskningsrådet Formas; Horizon 2020 Framework Programme; Scheme for Promotion of Academic and Research Collaboration; Linköpings Universitet; Commonwealth Scientific and Industrial Research Organisation; Met Office; Horizon 2020; Fonds De La Recherche Scientifique - FNRS; Gordon and Betty Moore Foundation","keywords":"Methane; Environmental science; Chemistry","score_opus":0.011613997501552398,"score_gpt":0.23099835558811616,"score_spread":0.21938435808656376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810313091","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":[0.017446976,0.07362283,0.008357718,0.02384466,0.010918191,0.00039381252,0.6700767,0.0026945898,0.19264452],"genre_scores_gemma":[0.23711655,0.080691144,0.020657266,0.009321972,0.0020900706,0.0024034206,0.56195134,0.0010841173,0.08468419],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9993593,0.00014759769,0.000040920084,0.00009331099,0.00025881114,0.00010014236],"domain_scores_gemma":[0.9991941,0.000048908118,0.000083154264,0.00003576707,0.00055438053,0.00008380413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016893494,0.0025212036,0.00060183246,0.0026489897,0.00037637068,0.0014011867,0.0010488004,0.0013058137,0.020066349],"category_scores_gemma":[0.002274932,0.00042604012,0.00068716414,0.0036751009,0.0003162656,0.002601867,0.0013621736,0.0011765654,0.012327256],"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":[0.0010889259,0.000073838004,0.0049570366,0.0064514475,0.00045506482,0.00024280045,0.0001300828,0.012590983,0.0040618577,0.027411228,0.6772489,0.26528785],"study_design_scores_gemma":[0.000085907086,0.00009859757,0.011180232,0.0009693504,0.00010500322,0.000093733,0.000097548545,0.002229586,0.0016485143,0.004849864,0.9786034,0.000038214333],"about_ca_topic_score_codex":0.048434023,"about_ca_topic_score_gemma":0.026401294,"teacher_disagreement_score":0.048434023,"about_ca_system_score_codex":0.0037640226,"about_ca_system_score_gemma":0.0049275463,"threshold_uncertainty_score":0.09630418},"labels":[],"label_agreement":null},{"id":"W2810340024","doi":"10.5194/essd-11-57-2019","title":"A meteorological and blowing snow data set (2000–2016) from a high-elevation alpine site (Col du Lac Blanc, France, 2720 m a.s.l.)","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"University of Saskatchewan","funders":"Center for Neuroscience and Regenerative Medicine; Agence Nationale de la Recherche","keywords":"Snow; Terrain; Elevation (ballistics); Snowpack; Digital elevation model; Climatology; Environmental science; Wind speed; Meteorology; Geology; Geography; Remote sensing; Cartography","score_opus":0.03686471305792283,"score_gpt":0.23317017176007782,"score_spread":0.196305458702155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810340024","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.666676,0.0007690392,0.0015358211,0.00016732024,0.00006371094,0.00029484573,0.32144958,0.00067195366,0.008371748],"genre_scores_gemma":[0.42379105,0.00043092365,0.004678183,0.00008964212,0.00008904764,0.00035088407,0.5662654,0.000089768306,0.0042150007],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99970055,0.000027127688,0.000020615094,0.000075828175,0.00013712062,0.00003872082],"domain_scores_gemma":[0.9993375,0.000058403784,0.00013155334,0.00007874934,0.00029565027,0.000098130455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003222515,0.0005769567,0.00039744528,0.0020087624,0.0003956704,0.00048015075,0.00045083827,0.0004035179,0.0027434637],"category_scores_gemma":[0.00054995075,0.00012543927,0.00031924713,0.002029478,0.0002328415,0.00026191698,0.0003232124,0.0002608882,0.0011119287],"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":[0.0011884322,0.0011774623,0.6487585,0.0012045829,0.0007020469,0.0023624534,0.0014489327,0.03568074,0.02192541,0.0013920416,0.17865025,0.1055092],"study_design_scores_gemma":[0.00012425125,0.000107499334,0.899558,0.000078704245,0.000034948618,0.00019491452,0.00036441442,0.0071622906,0.0014971613,0.00007048546,0.09077117,0.00003621284],"about_ca_topic_score_codex":0.19994907,"about_ca_topic_score_gemma":0.25115508,"teacher_disagreement_score":0.19994907,"about_ca_system_score_codex":0.000952577,"about_ca_system_score_gemma":0.0016077865,"threshold_uncertainty_score":0.3975705},"labels":[],"label_agreement":null},{"id":"W2887300514","doi":"10.5194/essd-11-111-2019","title":"Lake O'Hara alpine hydrological observatory: hydrological and meteorological dataset, 2004–2017","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Snow; Environmental science; Hydrology (agriculture); Snowmelt; Elevation (ballistics); Precipitation; Watershed; Hydrometeorology; Plateau (mathematics); Stage (stratigraphy); Physical geography; Geology; Meteorology; Geomorphology","score_opus":0.07192951370804311,"score_gpt":0.2605163442886671,"score_spread":0.18858683058062398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887300514","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":[0.0018571025,0.000047257286,0.000038060833,0.00006138903,0.000011327295,0.000010042291,0.9973495,0.000102488244,0.0005229129],"genre_scores_gemma":[0.005218913,0.00005200554,0.00031656673,0.00002571774,0.000009536987,0.000054832075,0.99372584,0.000024420598,0.000572238],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950135,0.00004444125,0.000064060674,0.00010959548,0.00017968456,0.00010080669],"domain_scores_gemma":[0.99714065,0.00014293283,0.00030677379,0.00024584957,0.0018562905,0.00030755828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008238107,0.00073847437,0.0008408621,0.0022756215,0.0007747528,0.001323076,0.0015280043,0.0004567019,0.009936072],"category_scores_gemma":[0.0024220576,0.00036351403,0.00039160607,0.0072763464,0.00022578373,0.00061100186,0.0009158506,0.00081043557,0.0058988733],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011574214,0.000060835962,0.03057258,0.00047548683,0.00015065189,0.00005976652,0.00012513754,0.00089147704,0.0003226732,0.0005088176,0.96152866,0.0051880763],"study_design_scores_gemma":[0.00051092333,0.000025766742,0.32601732,0.00038697524,0.00010901239,0.000080303624,0.0006730531,0.0045978627,0.0008315009,0.0005363484,0.6661483,0.0000825025],"about_ca_topic_score_codex":0.712751,"about_ca_topic_score_gemma":0.7803537,"teacher_disagreement_score":0.28724903,"about_ca_system_score_codex":0.0037928736,"about_ca_system_score_gemma":0.007835426,"threshold_uncertainty_score":0.57788134},"labels":[],"label_agreement":null},{"id":"W2887665113","doi":"10.5194/essd-11-241-2019","title":"SCOPE Climate: a 142-year daily high-resolution ensemble meteorological reconstruction dataset over France","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Climate Program Office; Biological and Environmental Research; Office of Science; National Oceanic and Atmospheric Administration; U.S. Department of Energy","keywords":"Downscaling; Scope (computer science); Evapotranspiration; Climatology; Precipitation; Environmental science; Climate model; Probabilistic logic; Forcing (mathematics); Climate change; Meteorology; NetCDF; Computer science; Geography; Geology; Artificial intelligence","score_opus":0.024510896250125324,"score_gpt":0.2511450976150448,"score_spread":0.22663420136491946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887665113","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":[0.032234248,0.0005026941,0.0014578183,0.0004232148,0.00008536615,0.000054429427,0.9616227,0.0016871112,0.0019324094],"genre_scores_gemma":[0.029001754,0.00012573019,0.0022323243,0.00009190665,0.000038028455,0.00011033469,0.96761954,0.000121022924,0.00065936806],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994838,0.00012242893,0.000040125655,0.00015949328,0.00012235982,0.000071760885],"domain_scores_gemma":[0.9993437,0.00010646857,0.00008441133,0.00013152744,0.0002660302,0.00006781554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008679864,0.000783888,0.0006256221,0.0014388654,0.00035822878,0.0008434151,0.0010890632,0.0009973481,0.0063093044],"category_scores_gemma":[0.0018036342,0.00025991717,0.00092683337,0.0019058354,0.00024315983,0.00063419226,0.000753131,0.00080554764,0.0045909663],"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":[0.00033042944,0.00018769718,0.048404418,0.00069132395,0.0007357912,0.0004467277,0.00024508615,0.03361479,0.002933745,0.0027392858,0.8733278,0.036342893],"study_design_scores_gemma":[0.0010007521,0.00013386237,0.2414602,0.0003816109,0.00014753213,0.0002658234,0.00042583467,0.051282834,0.0021884134,0.0029532274,0.69953877,0.0002212157],"about_ca_topic_score_codex":0.06901493,"about_ca_topic_score_gemma":0.07580451,"teacher_disagreement_score":0.06901493,"about_ca_system_score_codex":0.00087634864,"about_ca_system_score_gemma":0.0014973767,"threshold_uncertainty_score":0.13722646},"labels":[],"label_agreement":null},{"id":"W2891188636","doi":"10.5194/essd-10-1673-2018","title":"Deriving a dataset for agriculturally relevant soils from the Soil Landscapes of Canada (SLC) database for use in Soil and Water Assessment Tool (SWAT) simulations","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","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":"University of Alberta; University of Manitoba; Agriculture and Agri-Food Canada","funders":"Beef Cattle Research Council; Agriculture and Agri-Food Canada; Alberta Livestock and Meat Agency; Alberta Agriculture and Forestry","keywords":"Soil water; Surface runoff; Soil and Water Assessment Tool; Environmental science; Database; Hydrology (agriculture); Preprocessor; SWAT model; Soil science; Computer science; Geology; Cartography; Geography; Drainage basin; Ecology","score_opus":0.025653880432508228,"score_gpt":0.2546590955120736,"score_spread":0.2290052150795654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891188636","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":[0.15759519,0.00020629766,0.012695415,0.00029920603,0.00005968291,0.00042895306,0.819546,0.0026281963,0.006541115],"genre_scores_gemma":[0.21781993,0.00032959494,0.043091018,0.00009982881,0.0000144858095,0.00038584555,0.7361893,0.00024873827,0.0018212319],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943644,0.000035035297,0.000046451554,0.00010696515,0.00024183233,0.00013316791],"domain_scores_gemma":[0.997349,0.00019599512,0.00017242605,0.00027585865,0.0018055133,0.00020114209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005061947,0.00054970785,0.0003856018,0.003618751,0.0010730027,0.0012203279,0.0011963061,0.0004784945,0.0031094651],"category_scores_gemma":[0.003124376,0.00029783775,0.00072595564,0.0065104472,0.00034390588,0.00056233833,0.0007965394,0.00061106996,0.0010562536],"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":[0.0005030081,0.00047390923,0.3542219,0.0012453261,0.00055945024,0.0010991978,0.000677817,0.20297004,0.011455752,0.007457249,0.25191006,0.16742633],"study_design_scores_gemma":[0.00025185457,0.00007550408,0.47153237,0.00036669552,0.00021218741,0.00024401737,0.0015519322,0.2508937,0.013951634,0.0022580384,0.258419,0.00024313698],"about_ca_topic_score_codex":0.9332009,"about_ca_topic_score_gemma":0.9519393,"teacher_disagreement_score":0.066799104,"about_ca_system_score_codex":0.009587766,"about_ca_system_score_gemma":0.017227892,"threshold_uncertainty_score":0.13438493},"labels":[],"label_agreement":null},{"id":"W2893707053","doi":"10.5194/essd-11-1337-2019","title":"The Environment and Climate Change Canada solid precipitation intercomparison data from Bratt's Lake and Caribou Creek, Saskatchewan","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Precipitation; Snow; Climatology; Spice; Meteorology; Geography; Geology; Oceanography","score_opus":0.048454314742903494,"score_gpt":0.23767973420445082,"score_spread":0.18922541946154733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2893707053","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79692274,0.00084063224,0.0015054216,0.0011247412,0.00011042522,0.00033584188,0.17631084,0.00020732987,0.02264207],"genre_scores_gemma":[0.88372254,0.0006627109,0.0042134174,0.0005735641,0.000013112769,0.00044447245,0.09208915,0.000100134566,0.018180974],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932444,0.000060144695,0.000047961774,0.00013377117,0.0002852843,0.00014834342],"domain_scores_gemma":[0.99778396,0.000085974796,0.000113356946,0.00012220499,0.0016655808,0.00022894431],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069638365,0.00048302446,0.00043231877,0.0016813739,0.0021100903,0.0014954126,0.0010198064,0.00038094257,0.0029184225],"category_scores_gemma":[0.0010788332,0.0002876269,0.00040992798,0.005677273,0.00048237425,0.00046544085,0.0011757672,0.00064170716,0.000576125],"study_design_candidate":"not_applicable","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":[0.00063109124,0.00025756704,0.8503524,0.00029390623,0.00079031143,0.00073133834,0.002113604,0.009743235,0.0068020783,0.0021279852,0.07496239,0.051194165],"study_design_scores_gemma":[0.00008293475,0.00002054916,0.9619684,0.000079031684,0.00006872779,0.000043580014,0.0020857463,0.0037144541,0.0012015495,0.00018815932,0.030489245,0.000057605554],"about_ca_topic_score_codex":0.99476177,"about_ca_topic_score_gemma":0.99825746,"teacher_disagreement_score":0.019680489,"about_ca_system_score_codex":0.019680489,"about_ca_system_score_gemma":0.04640542,"threshold_uncertainty_score":0.14279258},"labels":[],"label_agreement":null},{"id":"W2895858991","doi":"10.5194/essd-11-455-2019","title":"Hydrometeorological data from Marmot Creek Research Basin, Canadian Rockies","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","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":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Structural basin; Streamflow; Hydrology (agriculture); Snowpack; Marmot; Snow; Snowmelt; Drainage basin; Hydrometeorology; Environmental science; Precipitation; Groundwater; Geology; Geography; Meteorology","score_opus":0.12580734434648574,"score_gpt":0.31919005118941207,"score_spread":0.19338270684292633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895858991","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62480533,0.0023697095,0.0014237103,0.0006674212,0.00007091066,0.00048431315,0.2776711,0.00047067134,0.09203684],"genre_scores_gemma":[0.7592444,0.0016457849,0.0044967304,0.00026220857,0.000031161162,0.00030924284,0.18960038,0.00010839906,0.04430168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913484,0.000022532784,0.000031991567,0.00009989955,0.0005598326,0.00015097464],"domain_scores_gemma":[0.9983954,0.00002890497,0.00007020676,0.00004598462,0.0012811148,0.0001783274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034847384,0.00045595132,0.00036733944,0.0039829207,0.0036241761,0.0009779647,0.0010205966,0.00016868493,0.0069468375],"category_scores_gemma":[0.0007230665,0.00023876493,0.00025410188,0.0066484152,0.00032190146,0.00030164185,0.0006047036,0.0003240136,0.0011055118],"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":[0.00042139774,0.000111414316,0.73286575,0.000355908,0.00022612224,0.0005916117,0.0019842805,0.002827558,0.0039550257,0.0018288062,0.13593377,0.118898295],"study_design_scores_gemma":[0.000014074209,0.000015101279,0.9490155,0.00003848891,0.000027667216,0.000047186164,0.00071528973,0.0008830299,0.0005129609,0.00006794685,0.048638187,0.000024577525],"about_ca_topic_score_codex":0.9956785,"about_ca_topic_score_gemma":0.99898106,"teacher_disagreement_score":0.01767859,"about_ca_system_score_codex":0.01767859,"about_ca_system_score_gemma":0.026404912,"threshold_uncertainty_score":0.12826777},"labels":[],"label_agreement":null},{"id":"W2897384615","doi":"10.5194/essd-11-89-2019","title":"A long-term hydrometeorological dataset (1993–2014) of a northern mountain basin: Wolf Creek Research Basin, Yukon Territory, Canada","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"McMaster University; Yukon Department of Environment; University of Saskatchewan; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; National Oceanic and Atmospheric Administration; Natural Environment Research Council; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Hydrometeorology; Tundra; Snow; Biome; Subarctic climate; Structural basin; Streamflow; Snowmelt; Climate change; Precipitation; Forcing (mathematics); Hydrology (agriculture); Climatology; Environmental science; Glacier; Drainage basin; Physical geography; Geology; Arctic; Ecosystem; Meteorology; Geography; Geomorphology; Oceanography; Ecology","score_opus":0.0635405156384407,"score_gpt":0.2869348477991787,"score_spread":0.223394332160738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897384615","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":[0.05820108,0.00028638134,0.00027089356,0.00014705463,0.000019458093,0.00004546868,0.9383393,0.00022748286,0.0024628486],"genre_scores_gemma":[0.09087218,0.00022563434,0.0010682998,0.00005938205,0.000008417501,0.00008724327,0.9052344,0.00003682477,0.002407625],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99966025,0.000015700685,0.000029228868,0.000088208246,0.00012145546,0.00008516121],"domain_scores_gemma":[0.99833953,0.000050630493,0.00012677925,0.00009527738,0.0011900482,0.00019778904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002750425,0.0005515936,0.0005118569,0.0022411337,0.0011622106,0.00091648044,0.0011531953,0.00038646974,0.0035738337],"category_scores_gemma":[0.00095963984,0.00028176155,0.0003475359,0.0072407764,0.0003172782,0.00031650148,0.0006200035,0.00038264596,0.0013698204],"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":[0.0003242249,0.00018774749,0.40476698,0.00085133215,0.0005919877,0.00042686757,0.0008119433,0.008861792,0.0024338528,0.0017287947,0.5530437,0.025970692],"study_design_scores_gemma":[0.000114544055,0.000021042442,0.8301443,0.000199436,0.00008058849,0.00007891658,0.0013477043,0.006837592,0.0012354763,0.00022247252,0.15964785,0.00007001015],"about_ca_topic_score_codex":0.9833175,"about_ca_topic_score_gemma":0.9909831,"teacher_disagreement_score":0.016682506,"about_ca_system_score_codex":0.010152881,"about_ca_system_score_gemma":0.022415299,"threshold_uncertainty_score":0.073664606},"labels":[],"label_agreement":null},{"id":"W2898432519","doi":"10.5194/essd-11-553-2019","title":"Meteorological, soil moisture, surface water, and groundwater data from the St. Denis National Wildlife Area, Saskatchewan, Canada","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":true,"ca_institutions":"Environment and Climate Change Canada; Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Hydrology (agriculture); Snow; Wetland; Environmental science; Groundwater recharge; Piezometer; Groundwater; Evapotranspiration; Geological survey; Surface water; Arid; Water table; Physical geography; Geology; Aquifer; Geography; Geomorphology","score_opus":0.07053188129383312,"score_gpt":0.24367190874960276,"score_spread":0.17314002745576965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898432519","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":[0.069263436,0.0005741269,0.0006327541,0.00041750362,0.00007491694,0.00029460038,0.8987292,0.00029144573,0.029722024],"genre_scores_gemma":[0.16087103,0.0016164477,0.0045735626,0.00057270215,0.000028977873,0.0006364938,0.776371,0.00015795472,0.055171836],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99929285,0.000034619836,0.00004872858,0.00012792586,0.0003547239,0.00014112687],"domain_scores_gemma":[0.9962698,0.00009798011,0.00015534414,0.00012737673,0.0030708578,0.00027859837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005544553,0.0007716424,0.00047710107,0.0022893734,0.0015227817,0.0012444586,0.0014342606,0.00035119927,0.015914537],"category_scores_gemma":[0.0011041894,0.0004193326,0.00032021003,0.008709034,0.00038116236,0.0005119684,0.00067774433,0.00070554344,0.005990969],"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":[0.00022746752,0.00022205102,0.36837605,0.00055714324,0.00032394033,0.00036814107,0.00064057816,0.004094316,0.0019995708,0.001135674,0.5786988,0.043356217],"study_design_scores_gemma":[0.00010809313,0.000025632755,0.8023514,0.00037498618,0.000068474976,0.00006459764,0.0017017458,0.0033965297,0.0009905953,0.0001838023,0.19062527,0.000108768894],"about_ca_topic_score_codex":0.9916502,"about_ca_topic_score_gemma":0.9979133,"teacher_disagreement_score":0.015914537,"about_ca_system_score_codex":0.015384304,"about_ca_system_score_gemma":0.042069025,"threshold_uncertainty_score":0.11162144},"labels":[],"label_agreement":null},{"id":"W2900026416","doi":"10.5194/essd-11-787-2019","title":"An 11-year (2007–2017) soil moisture and precipitation dataset from the Kenaston Network in the Brightwater Creek basin, Saskatchewan, Canada","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Soil Moisture and Remote Sensing","field":"Environmental Science","cited_by":70,"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; Environment and Climate Change Canada","funders":"Canadian Space Agency; University of Guelph","keywords":"Hydrometeorology; Environmental science; Precipitation; Water content; Soil water; Structural basin; Hydrology (agriculture); Water cycle; Climatology; Meteorology; Geology; Geography; Soil science","score_opus":0.009582458235646702,"score_gpt":0.2121757757452708,"score_spread":0.2025933175096241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900026416","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":[0.015583132,0.00012817075,0.00025217855,0.00012870357,0.00003760513,0.000038142934,0.9813783,0.00019120931,0.0022625232],"genre_scores_gemma":[0.017550362,0.00012264152,0.00062755664,0.00006106977,0.000007986346,0.000049684284,0.97997266,0.000035166915,0.0015728518],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992811,0.000050271443,0.000050378858,0.00016896421,0.00028045953,0.0001688484],"domain_scores_gemma":[0.9963813,0.0001095877,0.00014380325,0.00024419336,0.0028076668,0.00031339563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006168231,0.0007792884,0.00065207155,0.0022825946,0.0009334984,0.0010501947,0.0014824648,0.00045225766,0.0055994834],"category_scores_gemma":[0.0014920237,0.0002993094,0.00043152968,0.007844517,0.00044646516,0.00049212767,0.00086209964,0.00073893083,0.004128773],"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":[0.00022059874,0.00012435003,0.10795435,0.0005047461,0.00035915125,0.00023587138,0.00025782367,0.0053532342,0.0014934397,0.0012047023,0.8651181,0.017173655],"study_design_scores_gemma":[0.00029081118,0.000028358907,0.54463834,0.00051034376,0.000100526864,0.000084965766,0.001307062,0.011325657,0.0021115832,0.0005096983,0.4389476,0.00014509316],"about_ca_topic_score_codex":0.9658648,"about_ca_topic_score_gemma":0.9870875,"teacher_disagreement_score":0.034135222,"about_ca_system_score_codex":0.009453688,"about_ca_system_score_gemma":0.02241218,"threshold_uncertainty_score":0.06867242},"labels":[],"label_agreement":null},{"id":"W2900917467","doi":"10.5194/essd-11-441-2019","title":"A comprehensive global oceanic dataset of helium isotope and tritium measurements","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Groundwater and Isotope Geochemistry","field":"Earth and Planetary Sciences","cited_by":56,"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; University of California, San Diego; National Oceanic and Atmospheric Administration; Sorbonne Université; National Science Foundation; University of Washington; Universität Bremen; McMaster University; Woods Hole Oceanographic Institution; Université du Québec à Rimouski; Lamont-Doherty Earth Observatory, Columbia University; U.S. Department of Energy","keywords":"Tritium; Environmental science; Helium; Metadata; Geology; Database; Computer science; Chemistry; Physics; Nuclear physics; World Wide Web","score_opus":0.04977581434554618,"score_gpt":0.2571150108793349,"score_spread":0.20733919653378874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900917467","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":[0.0033478127,0.00014275494,0.0007475171,0.00010412142,0.000033157492,0.00002597077,0.9927741,0.00032183365,0.0025026859],"genre_scores_gemma":[0.004260222,0.00013738978,0.0019379952,0.000047275324,0.000009952482,0.00006946166,0.9925816,0.00008239139,0.00087369286],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99915195,0.00009738067,0.00014594333,0.00021389438,0.0003001859,0.0000906601],"domain_scores_gemma":[0.99741805,0.00027768346,0.00044399936,0.0005763439,0.0010704218,0.0002135165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089001347,0.0007474298,0.0006808573,0.0031200957,0.00042795177,0.0013776676,0.001089223,0.00060113164,0.0074946173],"category_scores_gemma":[0.0033496849,0.00037118423,0.00066031,0.01024601,0.0002790119,0.00087285857,0.002179514,0.0011280591,0.009145985],"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":[0.0002432141,0.000108819804,0.08768247,0.0026301015,0.00047318285,0.00025154024,0.00031122053,0.0046067717,0.0056948895,0.0059277425,0.8292799,0.06279011],"study_design_scores_gemma":[0.00005813001,0.000017096156,0.07942345,0.00021896315,0.000066770495,0.000056550885,0.00022707308,0.0011931234,0.0025874334,0.0012965093,0.9147988,0.00005605272],"about_ca_topic_score_codex":0.058084577,"about_ca_topic_score_gemma":0.056788467,"teacher_disagreement_score":0.058084577,"about_ca_system_score_codex":0.0010302111,"about_ca_system_score_gemma":0.0035032607,"threshold_uncertainty_score":0.115493},"labels":[],"label_agreement":null},{"id":"W2906682719","doi":"10.5194/essd-11-1375-2019","title":"Fifty years of recorded hillslope runoff on seasonally frozen ground: the Swift Current, Saskatchewan, Canada, dataset","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"Agriculture and Agri-Food Canada; Wilfrid Laurier University; Global Institute for Water Security; University of Saskatchewan","funders":"Agriculture and Agri-Food Canada; Environment and Climate Change Canada","keywords":"Surface runoff; Hydrology (agriculture); Snowmelt; Environmental science; Snowpack; Streamflow; Soil water; Nutrient; Snow; Geology; Soil science; Drainage basin; Geography","score_opus":0.0287116227511713,"score_gpt":0.23362419791576963,"score_spread":0.20491257516459832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906682719","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":[0.011148885,0.00019027918,0.00010891909,0.00009383334,0.000015130465,0.000034126962,0.9869372,0.00009931696,0.0013722657],"genre_scores_gemma":[0.021958629,0.0002677855,0.000537811,0.00008319217,0.000007632231,0.00012359182,0.97411716,0.000043436805,0.00286081],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99948466,0.00003171988,0.000059773534,0.00014037575,0.00014765169,0.00013578722],"domain_scores_gemma":[0.99640393,0.00010681933,0.00023358024,0.00023695966,0.0027690951,0.00024965234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061256514,0.00083874917,0.0007798783,0.003475102,0.0014060483,0.0017818883,0.0019882945,0.00072347076,0.011513955],"category_scores_gemma":[0.0027410488,0.00050784246,0.00069884583,0.012213343,0.0004188925,0.00064675784,0.0011073537,0.0007689576,0.006354134],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002769467,0.000090421185,0.24333422,0.00084760116,0.00052848016,0.00025208676,0.00044286274,0.0033286342,0.00061506167,0.0007539998,0.72831684,0.021212753],"study_design_scores_gemma":[0.00021958689,0.00002311345,0.70987403,0.0006684232,0.00016023578,0.00010024068,0.0018351432,0.0035555677,0.00049314054,0.000358614,0.28261706,0.00009479705],"about_ca_topic_score_codex":0.9852024,"about_ca_topic_score_gemma":0.99418664,"teacher_disagreement_score":0.014797628,"about_ca_system_score_codex":0.010424337,"about_ca_system_score_gemma":0.024215247,"threshold_uncertainty_score":0.07563418},"labels":[],"label_agreement":null},{"id":"W2908681940","doi":"10.5194/essd-11-23-2019","title":"Daily measurements of near-surface humidity from a mesonet in the foothills of the Canadian Rocky Mountains, 2005–2010","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","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":true,"ca_institutions":"University of Victoria; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Canada Foundation for Innovation; University of Calgary","keywords":"Foothills; Humidity; Environmental science; Relative humidity; Elevation (ballistics); Lapse rate; Altitude (triangle); Longitude; Atmospheric sciences; Mesoscale meteorology; Climatology; Meteorology; Latitude; Geography; Geology; Cartography; Geodesy","score_opus":0.06185748046556815,"score_gpt":0.251976571111789,"score_spread":0.19011909064622085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908681940","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97869897,0.00045449764,0.00039659458,0.00011608821,0.000017817683,0.00005603368,0.015267004,0.000053684656,0.0049392194],"genre_scores_gemma":[0.98360634,0.00027779906,0.00088327983,0.000049123984,0.000008137023,0.000026359126,0.010708373,0.000009224395,0.004431455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996673,0.000015174852,0.000009385036,0.000062389314,0.00016983664,0.00007597389],"domain_scores_gemma":[0.99925,0.000018459636,0.000058924656,0.000016466354,0.00051448133,0.00014156388],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031340573,0.00033237413,0.00023177257,0.0011355544,0.0020013438,0.0007053642,0.00074177416,0.00022996604,0.0012032413],"category_scores_gemma":[0.00048716078,0.00015902528,0.00016499401,0.0020201798,0.0003509115,0.00020759153,0.00041750498,0.00032828932,0.0002810203],"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":[0.00024171945,0.00007317957,0.96231395,0.000090767644,0.00011172759,0.00022765445,0.00167427,0.001429267,0.0033671611,0.00018941287,0.008417815,0.021863053],"study_design_scores_gemma":[0.0000045957886,0.00001214209,0.99609935,0.0000109405455,0.000010976183,0.000020906013,0.0005535109,0.0004990176,0.00021265785,0.000008972897,0.0025589995,0.000007902041],"about_ca_topic_score_codex":0.99458283,"about_ca_topic_score_gemma":0.99883527,"teacher_disagreement_score":0.012582703,"about_ca_system_score_codex":0.012582703,"about_ca_system_score_gemma":0.011436105,"threshold_uncertainty_score":0.09129435},"labels":[],"label_agreement":null},{"id":"W2911713938","doi":"10.5194/essd-11-1203-2019","title":"A decade of detailed observations (2008–2018) in steep bedrock permafrost at the Matterhorn Hörnligrat (Zermatt, CH)","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"Carleton University","funders":"Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Permafrost; Bedrock; Geology; Dominance (genetics); Data quality; Physical geography; Earth science; Computer science; Environmental science; Geography; Geomorphology; Oceanography","score_opus":0.044205304261273504,"score_gpt":0.2398246896453194,"score_spread":0.19561938538404589,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911713938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9714352,0.0011284744,0.0021483821,0.00021471192,0.000054337503,0.000034038614,0.021198392,0.0002329647,0.0035536175],"genre_scores_gemma":[0.9616419,0.00066401006,0.0040015364,0.00010749292,0.00006561949,0.000049988757,0.031865243,0.00007459777,0.0015296071],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975246,0.000017649,0.00002050258,0.00006455587,0.00010212202,0.000042642794],"domain_scores_gemma":[0.9996151,0.000042488697,0.00009644047,0.000045650017,0.00014101817,0.00005932709],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039209073,0.00024406429,0.00029999163,0.0014229646,0.00041130057,0.00045270167,0.0003218634,0.00040456807,0.0010633852],"category_scores_gemma":[0.0004692175,0.00015334904,0.00022081869,0.001469138,0.0002914431,0.0004362219,0.00070449186,0.0003182986,0.0004818166],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036208055,0.0001732129,0.8714604,0.000689016,0.00032998965,0.0011411922,0.0023250012,0.0024282455,0.02577855,0.00037844724,0.011803548,0.083130375],"study_design_scores_gemma":[0.0000043666555,0.000031656244,0.9879969,0.000040170497,0.000023079283,0.00012485887,0.00039387704,0.0005467625,0.00089049875,0.00005115282,0.00988781,0.000008895558],"about_ca_topic_score_codex":0.026456773,"about_ca_topic_score_gemma":0.09987885,"teacher_disagreement_score":0.026456773,"about_ca_system_score_codex":0.0004583911,"about_ca_system_score_gemma":0.0005162762,"threshold_uncertainty_score":0.05260557},"labels":[],"label_agreement":null},{"id":"W2912584414","doi":"10.5194/essd-11-865-2019","title":"Meteorological and evaluation datasets for snow modelling at 10 reference sites: description of in situ and bias-corrected reanalysis data","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":91,"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; Environment and Climate Change Canada","funders":"Agence Nationale de la Recherche; Natural Environment Research Council; Sight Research UK","keywords":"Snow; Environmental science; Forcing (mathematics); Albedo (alchemy); Climatology; Meteorology; Consistency (knowledge bases); Reference data; Computer science; Geology; Data mining; Geography","score_opus":0.29168311393648705,"score_gpt":0.31324356329662206,"score_spread":0.021560449360135014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912584414","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":[0.008313277,0.00009492348,0.006901808,0.0000934251,0.00006877733,0.00043430945,0.97934926,0.0009307254,0.0038135892],"genre_scores_gemma":[0.010022186,0.000104684645,0.018125108,0.0000648624,0.000015149682,0.0010618257,0.968682,0.0002739563,0.0016501988],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9986505,0.0002671161,0.00031993614,0.00021885373,0.0004336845,0.00010997711],"domain_scores_gemma":[0.99502194,0.00048092759,0.0005842072,0.0012546727,0.0024477884,0.00021050633],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031916774,0.0008752346,0.0006410665,0.0020938853,0.0004393116,0.0008203216,0.0015626485,0.0005999034,0.009432128],"category_scores_gemma":[0.00483201,0.0004948878,0.0006773353,0.0068100826,0.00017468003,0.0007640841,0.0006472144,0.00074399175,0.007168939],"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":[0.0006439613,0.0005759245,0.08603443,0.0015500489,0.00039960528,0.00025542924,0.00044284374,0.033983678,0.008480532,0.005322598,0.76045406,0.10185689],"study_design_scores_gemma":[0.0005827154,0.00015283305,0.2468764,0.0003024512,0.00012086262,0.00014931944,0.00032325936,0.014960322,0.008678096,0.0018675694,0.72583836,0.00014791572],"about_ca_topic_score_codex":0.043293424,"about_ca_topic_score_gemma":0.049411267,"teacher_disagreement_score":0.043293424,"about_ca_system_score_codex":0.0011291966,"about_ca_system_score_gemma":0.003070371,"threshold_uncertainty_score":0.086082816},"labels":[],"label_agreement":null},{"id":"W2915081206","doi":"10.5194/essd-11-1037-2019","title":"A compilation of global bio-optical in situ data for ocean-colour satellite applications – version two","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","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":"Université du Québec à Rimouski","funders":"National Marine Fisheries Service; Office of Polar Programs; Institut national des sciences de l'Univers; Natural Environment Research Council; Fisheries and Oceans Canada; University of California, San Diego; California Department of Fish and Wildlife; Sorbonne Université; Centre National de la Recherche Scientifique; Centre National d’Etudes Spatiales; National Oceanic and Atmospheric Administration; Sight Research UK; National Science Foundation; European Space Agency; National Aeronautics and Space Administration","keywords":"Metadata; Computer science; Satellite; Remote sensing; Environmental science; Data quality; Information retrieval; Meteorology; Geology; Geography; Service (business); World Wide Web","score_opus":0.029243339212239382,"score_gpt":0.2689524936692376,"score_spread":0.23970915445699825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915081206","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":[0.0068523614,0.00019468114,0.010693244,0.0001282701,0.00025895066,0.0003147451,0.9669805,0.00652929,0.008048074],"genre_scores_gemma":[0.00794275,0.00016945873,0.016904118,0.000086473825,0.00004493002,0.0004775115,0.9701324,0.0015000117,0.0027422863],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984303,0.00013865902,0.00037636183,0.00030664256,0.0006433747,0.0001046268],"domain_scores_gemma":[0.9904266,0.0008459722,0.0010020204,0.0022300612,0.00513228,0.0003630563],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023072439,0.001358225,0.0006063756,0.006243241,0.0004809056,0.0014867455,0.0010750566,0.0005261224,0.014305878],"category_scores_gemma":[0.005068814,0.00063545525,0.00074647914,0.0076550185,0.00021701698,0.0014892168,0.0014944766,0.0010488599,0.016985413],"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":[0.00056412205,0.00031274397,0.055363055,0.0029497226,0.00043173612,0.00042176776,0.0004616061,0.007321313,0.028246988,0.0026242419,0.6758026,0.22550002],"study_design_scores_gemma":[0.00010438116,0.00009822025,0.13771442,0.00034372654,0.00012116975,0.00016912917,0.00019122417,0.0021519852,0.009187952,0.0014314498,0.8483581,0.00012826252],"about_ca_topic_score_codex":0.014238165,"about_ca_topic_score_gemma":0.0125493985,"teacher_disagreement_score":0.014305878,"about_ca_system_score_codex":0.0007420725,"about_ca_system_score_gemma":0.0023181404,"threshold_uncertainty_score":0.04785794},"labels":[],"label_agreement":null},{"id":"W2915336810","doi":"10.5194/essd-10-2141-2018","title":"Global Carbon Budget 2018","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1671,"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":"H2020 European Research Council; Sight Research UK; National Oceanic and Atmospheric Administration; Universitetet i Bergen; Natural Environment Research Council; Australian Government; Great Barrier Reef Foundation","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climatology; Climate change; Atmospheric sciences; Deforestation (computer science); Global change; Land use, land-use change and forestry; Land use; Geology; Oceanography; Ecosystem; Ecology","score_opus":0.01318467345373449,"score_gpt":0.23420047551801948,"score_spread":0.22101580206428498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915336810","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0024095578,0.015879849,0.0067568696,0.01003412,0.0072218557,0.00039077934,0.31472126,0.004189115,0.6383966],"genre_scores_gemma":[0.051376477,0.03525364,0.013777754,0.0035109783,0.0020593563,0.0014301578,0.4062002,0.0032645073,0.4831269],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999519,0.00004642621,0.000026446298,0.00012330292,0.00020039096,0.00008442396],"domain_scores_gemma":[0.99947137,0.000033300792,0.000036101465,0.000085216525,0.0003250257,0.00004904726],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081483426,0.0016747246,0.0008244429,0.002261566,0.0006904894,0.0036118187,0.001294233,0.0016509026,0.22835658],"category_scores_gemma":[0.0014777783,0.00051296613,0.0006250779,0.004828665,0.00047464838,0.003208483,0.0019727657,0.0020570338,0.1580289],"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":[0.00008590951,0.000028010736,0.00084713945,0.00062725286,0.000040354007,0.00006933055,0.000034187633,0.00093198195,0.0006656339,0.030683234,0.79039323,0.17559367],"study_design_scores_gemma":[0.000010306408,0.00000538809,0.00039792497,0.00008577815,0.000004334186,0.000019566183,0.000011953249,0.00013804939,0.00011054057,0.0027587533,0.99645245,0.0000049067817],"about_ca_topic_score_codex":0.020988556,"about_ca_topic_score_gemma":0.009244509,"teacher_disagreement_score":0.22835658,"about_ca_system_score_codex":0.0027463536,"about_ca_system_score_gemma":0.0042029265,"threshold_uncertainty_score":0.7639289},"labels":[],"label_agreement":null},{"id":"W2915841000","doi":"10.5194/essd-10-405-2018","title":"Global Carbon Budget 2017","year":2018,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1153,"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":"H2020 European Research Council; Institut national des sciences de l'Univers; Natural Environment Research Council; Institut Polaire Français Paul Emile Victor; Ministry of Education, India; National Institute of Water and Atmospheric Research; National Aeronautics and Space Administration; Ministry of Environment; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Oceanic and Atmospheric Administration; Deutsche Forschungsgemeinschaft; Sight Research UK; Horizon 2020 Framework Programme; Bundesministerium für Verkehr und Digitale Infrastruktur; Norges Forskningsråd; Bundesministerium für Bildung und Forschung","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climate change; Climatology; Atmospheric sciences; Deforestation (computer science); Global change; Carbon dioxide; Global warming; Fossil fuel; Geology; Oceanography; Ecosystem; Ecology","score_opus":0.015756621333049305,"score_gpt":0.24530628740375346,"score_spread":0.22954966607070415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915841000","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":[0.0024080586,0.015745936,0.0069734696,0.0103319725,0.007113146,0.00037505844,0.31199774,0.0041255686,0.6409291],"genre_scores_gemma":[0.051490933,0.037675813,0.014664384,0.0038194929,0.0018672061,0.0013350557,0.43821213,0.0040332573,0.44690168],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945587,0.00006112417,0.000032092925,0.0001282903,0.00022991108,0.0000927213],"domain_scores_gemma":[0.99940443,0.000036334568,0.000040129813,0.00009282031,0.0003691218,0.000057199493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093689136,0.0017273232,0.0008105738,0.0024827821,0.0006825432,0.0038399363,0.0013049932,0.0016493613,0.20242968],"category_scores_gemma":[0.0016502378,0.0005680288,0.0007279068,0.0053608143,0.0005133325,0.003437086,0.002127791,0.0020667138,0.15390243],"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":[0.00009624998,0.000029762023,0.0009680143,0.0007280648,0.000057262638,0.00007435133,0.000033306686,0.0013226273,0.0007219217,0.035657197,0.7806443,0.1796669],"study_design_scores_gemma":[0.000011197013,0.000004857426,0.0003995806,0.00010124359,0.00000582119,0.000020016192,0.000013172712,0.00018017375,0.00015040791,0.0033983842,0.99570894,0.0000061189667],"about_ca_topic_score_codex":0.026808487,"about_ca_topic_score_gemma":0.01170478,"teacher_disagreement_score":0.20242968,"about_ca_system_score_codex":0.003068811,"about_ca_system_score_gemma":0.0051088,"threshold_uncertainty_score":0.6771947},"labels":[],"label_agreement":null},{"id":"W2916961622","doi":"10.5194/essd-8-605-2016","title":"Global Carbon Budget 2016","year":2016,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1131,"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; Natural Environment Research Council; Sight Research UK","keywords":"Environmental science; Biosphere; Carbon cycle; Carbon sink; Climatology; Climate change; Global change; Deforestation (computer science); Global warming; Atmospheric sciences; Greenhouse gas; Geology","score_opus":0.01020139291604852,"score_gpt":0.2185320096562698,"score_spread":0.20833061674022127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916961622","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":[0.0029513806,0.02202791,0.005830619,0.0121421255,0.007806852,0.00040953886,0.30475217,0.0028647806,0.64121467],"genre_scores_gemma":[0.061185952,0.0433173,0.0153008895,0.0040748026,0.0019514924,0.0013314902,0.36443606,0.0026899034,0.5057121],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99951744,0.000054425793,0.000032048625,0.0001243068,0.00020163652,0.000070148715],"domain_scores_gemma":[0.99944323,0.000029775987,0.000037627742,0.000083802806,0.0003511463,0.00005445529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090936094,0.0016476844,0.00077182957,0.0020866354,0.0005998456,0.0033207908,0.00110866,0.0014864377,0.15353584],"category_scores_gemma":[0.0015403939,0.00049410516,0.0006871092,0.004660484,0.00043533978,0.0027142134,0.001742802,0.0019860684,0.10842531],"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":[0.00012962443,0.000032629137,0.001364566,0.0007924814,0.00007152037,0.00008562301,0.000040534567,0.0015927588,0.0008989665,0.040235963,0.7387462,0.21600915],"study_design_scores_gemma":[0.000012233226,0.0000067297215,0.00055522856,0.00010451899,0.0000071007257,0.000022586686,0.00001188744,0.00018742574,0.0001480461,0.0031894706,0.9957488,0.0000060354987],"about_ca_topic_score_codex":0.027574915,"about_ca_topic_score_gemma":0.012709747,"teacher_disagreement_score":0.15353584,"about_ca_system_score_codex":0.0029077027,"about_ca_system_score_gemma":0.0045318296,"threshold_uncertainty_score":0.5136286},"labels":[],"label_agreement":null},{"id":"W2918145442","doi":"10.5194/essd-11-1263-2019","title":"Monthly gridded data product of northern wetland methane emissions based on upscaling eddy covariance observations","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas 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":"Wilfrid Laurier University; Thompson Rivers University; Université de Montréal; Université Laval; University of British Columbia; Carleton University; McMaster University","funders":"Horizon 2020; Horizon 2020 Framework Programme; Helmholtz Association; Academy of Finland; Netherlands Earth System Science Centre; Sight Research UK; Natural Environment Research Council; Gordon and Betty Moore Foundation; U.S. Department of Energy; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Eddy covariance; Environmental science; Wetland; Data assimilation; Covariance; Atmospheric sciences; Methane; Climatology; Meteorology; Ecosystem; Statistics; Geology; Mathematics; Geography","score_opus":0.039207416219038366,"score_gpt":0.24591139649515525,"score_spread":0.2067039802761169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918145442","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88876796,0.00020914018,0.010989465,0.00007675377,0.000087021035,0.000070409165,0.09546378,0.0013780814,0.0029573413],"genre_scores_gemma":[0.8472063,0.0001444615,0.016776375,0.000022827744,0.000024681547,0.00009633468,0.13461238,0.00006761722,0.0010490207],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998574,0.000016773536,0.00001432868,0.000052419582,0.00004364538,0.000015447675],"domain_scores_gemma":[0.9996933,0.000031774376,0.000047286056,0.000051126175,0.00016106901,0.000015396223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034971672,0.0005736032,0.00027345613,0.00075723376,0.00014101439,0.0002759826,0.00033614828,0.0002268458,0.001310778],"category_scores_gemma":[0.0006241573,0.00016590681,0.0005486306,0.0012117397,0.00008716663,0.00034597592,0.0002018723,0.00022725388,0.0006518498],"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":[0.0010138807,0.0007182377,0.5124594,0.0006000557,0.001014476,0.0005705744,0.00022087914,0.24910435,0.0339762,0.0011889728,0.03512987,0.164003],"study_design_scores_gemma":[0.000103502956,0.00007900145,0.6817364,0.000045120694,0.00010302563,0.000101878184,0.00011749683,0.29263043,0.012717977,0.00033112735,0.011971749,0.000062193554],"about_ca_topic_score_codex":0.031404562,"about_ca_topic_score_gemma":0.032468006,"teacher_disagreement_score":0.031404562,"about_ca_system_score_codex":0.00033327844,"about_ca_system_score_gemma":0.00035298654,"threshold_uncertainty_score":0.062443495},"labels":[],"label_agreement":null},{"id":"W2922140667","doi":"10.5194/essd-11-355-2019","title":"A rare intercomparison of nutrient analysis at sea: lessons learned and recommendations to enhance comparability of open-ocean nutrient data","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","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":"Dalhousie University","funders":"Ocean Frontier Institute; Dalhousie University; European Commission","keywords":"Comparability; Nutrient; Environmental science; Transect; Data quality; Oceanography; Ocean chemistry; Data set; Computer science; Seawater; Ecology; Mathematics; Geology; Business","score_opus":0.08900344309832835,"score_gpt":0.34919624967524626,"score_spread":0.2601928065769179,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2922140667","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"reproducibility","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"reproducibility","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028512558,0.038024683,0.3503855,0.49469346,0.03680208,0.0063199545,0.014708731,0.0118202595,0.018732775],"genre_scores_gemma":[0.035506185,0.00936689,0.9133753,0.022441264,0.002694805,0.002945286,0.008414602,0.0016927297,0.0035629517],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.8518848,0.090767555,0.017882906,0.010392773,0.026380708,0.0026913257],"domain_scores_gemma":[0.46992564,0.13766477,0.022804888,0.07493449,0.2776096,0.017060671],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.31366986,0.0030948764,0.0036390144,0.0066868593,0.0024628055,0.010244855,0.018913634,0.008612733,0.0050895945],"category_scores_gemma":[0.40788764,0.0019412495,0.0046617077,0.007002032,0.005538825,0.023253879,0.012157021,0.01289935,0.005065273],"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":[0.0009100071,0.0008091934,0.034354843,0.007456072,0.001403621,0.0008670394,0.0063992995,0.00848493,0.0050407983,0.018549455,0.38205463,0.5336701],"study_design_scores_gemma":[0.00064485974,0.0010280496,0.035244003,0.029192846,0.0010376157,0.0006365396,0.01248829,0.018821003,0.009152561,0.09381087,0.7970733,0.0008700714],"about_ca_topic_score_codex":0.049926747,"about_ca_topic_score_gemma":0.03955558,"teacher_disagreement_score":0.68633014,"about_ca_system_score_codex":0.0050895633,"about_ca_system_score_gemma":0.03149933,"threshold_uncertainty_score":0.84636724},"labels":[],"label_agreement":null},{"id":"W2943221556","doi":"10.5194/essd-12-403-2020","title":"Glaciers and climate of the Upper Susitna basin, Alaska","year":2020,"lang":"en","type":"article","venue":"Earth system science data","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":"University of Saskatchewan","funders":"Alaska Energy Authority; Colorado State University","keywords":"Glacier; Snow; Structural basin; Glacier mass balance; Permafrost; Geology; Physical geography; Drainage basin; Environmental science; Climate change; Climatology; Hydrology (agriculture); Geomorphology; Oceanography; Geography","score_opus":0.03971531533139373,"score_gpt":0.22739344582630622,"score_spread":0.1876781304949125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2943221556","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913394,0.0007178218,0.0001457601,0.00004840265,0.000012238585,0.0000063894395,0.0032175693,0.000022830978,0.0044894805],"genre_scores_gemma":[0.9954424,0.00040148373,0.00028121,0.000016560572,0.000005238695,0.000009536475,0.002603106,0.0000034820073,0.0012369661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991727,0.000012417393,0.000009637935,0.000026250447,0.000021269718,0.000013146263],"domain_scores_gemma":[0.9998085,0.000024150362,0.000061717525,0.000012892335,0.000053233372,0.000039527782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002793313,0.00019365213,0.00013391813,0.00082655845,0.00060848205,0.00059819454,0.0001610048,0.00010305012,0.0014337698],"category_scores_gemma":[0.00034664714,0.00009839883,0.00010630259,0.0011836365,0.00016633971,0.00033994805,0.00038925008,0.00011989272,0.00020254016],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048212205,0.00003663114,0.9818891,0.000061305494,0.0000617169,0.000156194,0.0008930039,0.0010928224,0.0010609919,0.00019550149,0.0010323937,0.0134720355],"study_design_scores_gemma":[0.0000015520768,0.000008666941,0.99657923,0.00002212356,0.000013893694,0.000035966084,0.001089752,0.0002986988,0.00009066707,0.000071287795,0.0017848221,0.0000033001675],"about_ca_topic_score_codex":0.21314521,"about_ca_topic_score_gemma":0.42017293,"teacher_disagreement_score":0.21314521,"about_ca_system_score_codex":0.00075346377,"about_ca_system_score_gemma":0.0007683654,"threshold_uncertainty_score":0.4238091},"labels":[],"label_agreement":null},{"id":"W2944819890","doi":"10.5194/essd-12-231-2020","title":"Paleo-hydrologic reconstruction of 400 years of past flows at a weekly time step for major rivers of Western Canada","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Tree-ring climate responses","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":"Global Institute for Water Security; University of Saskatchewan","funders":"University of Regina","keywords":"Dendrochronology; Tributary; Streamflow; Climatology; Context (archaeology); Environmental science; Robustness (evolution); Hydrology (agriculture); Drainage basin; Geology; Geography; Cartography","score_opus":0.027906130470286682,"score_gpt":0.21636405693272945,"score_spread":0.18845792646244278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2944819890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931477,0.00008329066,0.00063546316,0.000045638906,0.000003638236,0.000009573544,0.004884172,0.000085964835,0.0011045301],"genre_scores_gemma":[0.9942557,0.00007749956,0.0011488907,0.000007463661,0.0000014995838,0.0000058964765,0.0036497992,0.000011437346,0.0008418123],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995077,0.0000032192781,0.0000026494472,0.000013904104,0.000016258182,0.000013315074],"domain_scores_gemma":[0.9998086,0.000018723922,0.000021315305,0.000017258022,0.00010142754,0.000032707085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013185866,0.00015298466,0.00009854673,0.0011214985,0.0005431312,0.000579174,0.00032887384,0.00018744518,0.0011720273],"category_scores_gemma":[0.00039515572,0.00011203468,0.0002075759,0.0017321975,0.00019601213,0.00012394151,0.00016515628,0.00021012235,0.00012911911],"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":[0.00028415179,0.00009644499,0.80222815,0.0000804067,0.00019569178,0.00042967283,0.00071449997,0.10801816,0.0064303093,0.0014453261,0.0039463704,0.076130845],"study_design_scores_gemma":[0.000012254442,0.00000909227,0.9310682,0.000015534946,0.00002234154,0.000050144023,0.0004030425,0.06422348,0.0009342042,0.00011943503,0.0031215423,0.000020687627],"about_ca_topic_score_codex":0.95688075,"about_ca_topic_score_gemma":0.9754498,"teacher_disagreement_score":0.04311925,"about_ca_system_score_codex":0.0049941596,"about_ca_system_score_gemma":0.004571995,"threshold_uncertainty_score":0.086746335},"labels":[],"label_agreement":null},{"id":"W2955337943","doi":"10.5194/essd-12-629-2020","title":"High-resolution meteorological forcing data for hydrological modelling and climate change impact analysis in the Mackenzie River Basin","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"Environment and Climate Change Canada; Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Global Water Futures; Canada First Research Excellence Fund","keywords":"Environmental science; Precipitation; Climatology; Forcing (mathematics); Climate change; Streamflow; Climate model; Water cycle; Glacier; Global warming; Surface runoff; Coupled model intercomparison project; Drainage basin; Meteorology; Physical geography; Geology; Geography","score_opus":0.18124537818480405,"score_gpt":0.29547849144110444,"score_spread":0.1142331132563004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955337943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8112682,0.0005510021,0.0021251768,0.0014469791,0.00007069126,0.00020349443,0.17386922,0.00064247835,0.009822708],"genre_scores_gemma":[0.9158587,0.00040811035,0.006815917,0.00014242216,0.000026728447,0.00029904695,0.074407704,0.00006580407,0.0019756],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976176,0.00006163771,0.000027334567,0.00004828292,0.000065274726,0.00003566317],"domain_scores_gemma":[0.99941576,0.00009889634,0.000072816794,0.0000873714,0.00024748608,0.0000777979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006593846,0.00028221696,0.00023429908,0.00073959935,0.0004912721,0.0006704639,0.0006386419,0.00035217428,0.0018444204],"category_scores_gemma":[0.0015322632,0.0002073664,0.00034471712,0.0015291804,0.00016408155,0.00041795694,0.00039572455,0.0005127513,0.00036941597],"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":[0.00043947258,0.00041842568,0.5636269,0.0005182239,0.00059930247,0.00057128933,0.00052787835,0.24100976,0.0043728314,0.0051475707,0.10946887,0.07329955],"study_design_scores_gemma":[0.00030321875,0.000048135233,0.72972286,0.00012812015,0.00010980689,0.000040586725,0.0005208313,0.2068931,0.0017515384,0.0008998777,0.05945389,0.00012797558],"about_ca_topic_score_codex":0.7028166,"about_ca_topic_score_gemma":0.76812875,"teacher_disagreement_score":0.2971834,"about_ca_system_score_codex":0.003603581,"about_ca_system_score_gemma":0.0035077063,"threshold_uncertainty_score":0.59786713},"labels":[],"label_agreement":null},{"id":"W2957966633","doi":"10.5194/essd-11-1957-2019","title":"An Arctic watershed observatory at Lake Peters, Alaska: weather–glacier–river–lake system data for 2015–2018","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"University of Saskatchewan","funders":"Cold Regions Research and Engineering Laboratory; U.S. Fish and Wildlife Service; National Science Foundation","keywords":"Glacier; Arctic; Permafrost; Hydrology (agriculture); Watershed; Shelf ice; STREAMS; Glacial lake; Environmental science; Snow; Glacial period; Lake ecosystem; Flood myth; Geology; Physical geography; Oceanography; Ecosystem; Geomorphology; Arctic ice pack","score_opus":0.0570200212770928,"score_gpt":0.25765670299699256,"score_spread":0.20063668171989976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2957966633","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":[0.01098868,0.00014564814,0.0003509971,0.00010292023,0.00007147559,0.000024423141,0.98265463,0.0006085695,0.0050526983],"genre_scores_gemma":[0.01674087,0.00014242264,0.0017297158,0.00002719882,0.000020035539,0.00008979357,0.9772803,0.000088939945,0.0038807325],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99961436,0.000027929127,0.000051204213,0.00010755882,0.00015929292,0.00003961739],"domain_scores_gemma":[0.9985097,0.00007263473,0.00023099984,0.00019997147,0.00080928614,0.00017736574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006925955,0.00049725664,0.0003846608,0.002619447,0.0007164249,0.00092714425,0.0005665654,0.00034354997,0.013413747],"category_scores_gemma":[0.0016013371,0.00034213258,0.00022356553,0.0048223035,0.00017080974,0.00089876755,0.0008700913,0.00052711857,0.009647907],"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":[0.00016928867,0.00008967536,0.07555262,0.000524941,0.00015008419,0.00015917812,0.00059284683,0.0021389658,0.0009931313,0.0013080075,0.8812762,0.037045114],"study_design_scores_gemma":[0.00007493854,0.000027711825,0.21381387,0.00026967886,0.0000771222,0.00005305128,0.0008861786,0.002080369,0.0013092369,0.0008652265,0.7804887,0.000053843156],"about_ca_topic_score_codex":0.17914909,"about_ca_topic_score_gemma":0.21226804,"teacher_disagreement_score":0.17914909,"about_ca_system_score_codex":0.0008600988,"about_ca_system_score_gemma":0.0030793531,"threshold_uncertainty_score":0.35621268},"labels":[],"label_agreement":null},{"id":"W2963313653","doi":"10.5194/essd-12-1123-2020","title":"A global compilation of in situ aquatic high spectral resolution inherent and apparent optical property data for remote sensing applications","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","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":"","keywords":"Remote sensing; Environmental science; Colored dissolved organic matter; Ocean color; Particulates; Phytoplankton; Absorption (acoustics); Aquatic ecosystem; Satellite; Oceanography; Geology; Physics; Ecology","score_opus":0.07259227502452734,"score_gpt":0.2656363756632131,"score_spread":0.19304410063868574,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963313653","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":[0.00859348,0.00025883882,0.0025523317,0.00008293556,0.00005344065,0.000059437283,0.9843801,0.0018633998,0.0021560423],"genre_scores_gemma":[0.004496897,0.00010715782,0.0033524989,0.000037224952,0.000010490981,0.00009515819,0.9914072,0.0001230341,0.00037028056],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9990901,0.00007271355,0.00008948151,0.0002751214,0.0003578129,0.00011485294],"domain_scores_gemma":[0.9982864,0.00015118661,0.00021357037,0.0004433243,0.0007211775,0.00018426479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006842281,0.0016310393,0.0010161569,0.0036670242,0.0006137503,0.0011536925,0.0016230334,0.001057156,0.0055420115],"category_scores_gemma":[0.0016596034,0.00055134605,0.0010979081,0.0064886594,0.00039764048,0.0015079848,0.0020156587,0.0012946042,0.010973246],"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":[0.0002902506,0.00037375538,0.048620135,0.00268777,0.000369806,0.000421796,0.00028656764,0.0092432415,0.019932233,0.0018390903,0.8233429,0.09259242],"study_design_scores_gemma":[0.00013555532,0.00012004131,0.16123343,0.00058299425,0.00012351236,0.00034863772,0.00065409334,0.011146947,0.009715645,0.002449673,0.8133255,0.00016392625],"about_ca_topic_score_codex":0.0150518445,"about_ca_topic_score_gemma":0.028595015,"teacher_disagreement_score":0.0150518445,"about_ca_system_score_codex":0.0008259695,"about_ca_system_score_gemma":0.0015631604,"threshold_uncertainty_score":0.029928446},"labels":[],"label_agreement":null},{"id":"W2972411411","doi":"10.5194/essd-12-151-2020","title":"Green Edge ice camp campaigns: understanding the processes controlling the under-ice Arctic phytoplankton spring bloom","year":2020,"lang":"en","type":"article","venue":"Earth system science data","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":"GDG Environnement; Université du Québec à Rimouski; University of Calgary; The Quebec Population Health Research Network; Center for Northern Studies; University of Manitoba; Institut National de Santé Publique du Québec; Université Laval","funders":"Canada Research Chairs; Agence Nationale de la Recherche; University of Manitoba; Centre National de la Recherche Scientifique; Université Laval","keywords":"Oceanography; Environmental science; Phytoplankton; Sea ice; Spring bloom; Bay; Bloom; Arctic; Ecology; Nutrient; Geology; Biology","score_opus":0.06794039213312555,"score_gpt":0.2386609725109355,"score_spread":0.17072058037780993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972411411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69740075,0.00097214436,0.0012972851,0.00039661082,0.00014199862,0.00014497961,0.28968397,0.00034182245,0.0096204765],"genre_scores_gemma":[0.49408716,0.00053935894,0.00683678,0.00023323535,0.00013063382,0.00033507543,0.49433815,0.000116676245,0.0033828786],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997334,0.000051320312,0.000016049808,0.00007241024,0.000059704023,0.00006705237],"domain_scores_gemma":[0.99921,0.00008151176,0.00015180971,0.00010652796,0.00027926898,0.00017089192],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010469595,0.0004173426,0.00032777735,0.001086719,0.00048036085,0.00062897673,0.0005297324,0.00036108453,0.001467238],"category_scores_gemma":[0.0009106979,0.00015346725,0.0003301656,0.0013012332,0.00014550403,0.0004917502,0.0008085495,0.00039215822,0.00076673506],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080007745,0.0003418239,0.8640871,0.00042607725,0.00026854756,0.00029509005,0.0012307104,0.0033162937,0.005446434,0.000868562,0.081491515,0.04142769],"study_design_scores_gemma":[0.000062105755,0.000059458507,0.9583676,0.00011248593,0.000043896172,0.000027167962,0.0006666535,0.0036243405,0.001238801,0.0001706213,0.035606675,0.000020229583],"about_ca_topic_score_codex":0.14028317,"about_ca_topic_score_gemma":0.26470217,"teacher_disagreement_score":0.14028317,"about_ca_system_score_codex":0.00075690076,"about_ca_system_score_gemma":0.0011627056,"threshold_uncertainty_score":0.2789333},"labels":[],"label_agreement":null},{"id":"W2977599245","doi":"10.5194/essd-12-1545-2020","title":"Towards harmonisation of image velocimetry techniques for river surface velocity observations","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Sediment Transport Processes","field":"Environmental Science","cited_by":87,"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":"European Regional Development Fund; Ministero degli Affari Esteri e della Cooperazione Internazionale; European Cooperation in Science and Technology","keywords":"Velocimetry; Benchmarking; Particle image velocimetry; Computer science; Range (aeronautics); Focus (optics); Software; Remote sensing; Image processing; Geology; Environmental science; Image (mathematics); Artificial intelligence; Meteorology; Geography; Optics; Physics; Engineering; Aerospace engineering","score_opus":0.0719552759006778,"score_gpt":0.2806405609316685,"score_spread":0.2086852850309907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977599245","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":[0.02378408,0.00047314615,0.96234185,0.00038902462,0.00034911474,0.00057423563,0.0031686607,0.005380105,0.003539751],"genre_scores_gemma":[0.06245111,0.00036568972,0.9226461,0.00014934974,0.000057608013,0.0008304843,0.01126956,0.0013590184,0.00087113644],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930097,0.0021926027,0.0006734226,0.0015933717,0.0022129554,0.0003180213],"domain_scores_gemma":[0.9849437,0.0021431283,0.0009974907,0.005283539,0.0063033258,0.00032894692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022087717,0.0013629638,0.0011408966,0.0063158665,0.0008782311,0.0037084331,0.0028121234,0.0016967367,0.002408292],"category_scores_gemma":[0.026099868,0.0009651768,0.0014309154,0.0055524465,0.0012056397,0.003872454,0.0049987803,0.0028169467,0.0029419174],"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":[0.00036098744,0.0007133102,0.03011532,0.0007754477,0.0005227453,0.0002004543,0.0015220811,0.053592637,0.0417224,0.013422573,0.026917879,0.8301343],"study_design_scores_gemma":[0.00033085566,0.00061734626,0.11547007,0.0012774547,0.00038367778,0.00056600705,0.0025147127,0.51013327,0.080239646,0.024365555,0.26357973,0.0005216659],"about_ca_topic_score_codex":0.007175951,"about_ca_topic_score_gemma":0.008591791,"teacher_disagreement_score":0.022087717,"about_ca_system_score_codex":0.0009723119,"about_ca_system_score_gemma":0.002671655,"threshold_uncertainty_score":0.11681247},"labels":[],"label_agreement":null},{"id":"W2979653715","doi":"10.5194/essd-11-1783-2019","title":"Global Carbon Budget 2019","year":2019,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1707,"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":"Institut national des sciences de l'Univers; Institut Polaire Français Paul Emile Victor; Bundesministerium für Bildung und Forschung; Natural Environment Research Council; Met Office; European Commission; Sight Research UK; European Space Agency; Royal Society; Office of Science; Institut de Recherche pour le Développement; U.S. Department of Agriculture","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climate change; Climatology; Atmospheric sciences; Global change; Deforestation (computer science); Carbon dioxide; Geology; Oceanography; Ecosystem; Ecology","score_opus":0.007078607013513466,"score_gpt":0.2127215378976652,"score_spread":0.20564293088415175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979653715","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":[0.002485648,0.018192286,0.0071682334,0.019673785,0.014093248,0.0004227026,0.29085353,0.004069267,0.6430413],"genre_scores_gemma":[0.050853346,0.032268148,0.014208369,0.008823422,0.0030720308,0.0020914495,0.34880853,0.003038051,0.5368366],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941826,0.000075897544,0.000034926106,0.00013824955,0.00023340886,0.00009933395],"domain_scores_gemma":[0.99941885,0.000035279434,0.000048551577,0.0000793247,0.0003416646,0.000076205986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011138057,0.001805047,0.0008243533,0.00203987,0.0007106294,0.0036063194,0.0012015868,0.0019017862,0.2558892],"category_scores_gemma":[0.001698673,0.00046130453,0.0006914374,0.0043773297,0.0005675082,0.003121069,0.0021879328,0.0021177994,0.17059483],"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":[0.00013400808,0.000025930533,0.0007310713,0.00073253445,0.000057498415,0.00006510076,0.000027525677,0.000773549,0.001000823,0.023679733,0.80333084,0.16944137],"study_design_scores_gemma":[0.000013622226,0.000008247891,0.0003981518,0.000108199725,0.000006673621,0.000016541744,0.00001134005,0.00013852782,0.00013917149,0.0026250195,0.9965281,0.0000064670744],"about_ca_topic_score_codex":0.020313485,"about_ca_topic_score_gemma":0.010102854,"teacher_disagreement_score":0.2558892,"about_ca_system_score_codex":0.0029876016,"about_ca_system_score_gemma":0.0046586487,"threshold_uncertainty_score":0.8560347},"labels":[],"label_agreement":null},{"id":"W2979888215","doi":"10.5194/essd-12-591-2020","title":"Marine carbonyl sulfide (OCS) and carbon disulfide (CS <sub>2</sub> ): a compilation of measurements in seawater and the marine boundary layer","year":2020,"lang":"en","type":"article","venue":"Earth system science data","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":false,"ca_institutions":"Cégep de Rimouski; Université du Québec à Rimouski","funders":"Bundesministerium für Bildung und Forschung","keywords":"Carbonyl sulfide; Seawater; Carbon disulfide; Environmental science; Atmosphere (unit); Sulfate; Sulfur; Boundary layer; Environmental chemistry; Oceanography; Atmospheric sciences; Chemistry; Meteorology; Geology; Geography; Physics; Organic chemistry","score_opus":0.023510895356980987,"score_gpt":0.20956098230339026,"score_spread":0.1860500869464093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979888215","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":[0.18524665,0.0040001688,0.0052050734,0.00017392653,0.00022995246,0.00014585366,0.79121757,0.0020881847,0.011692611],"genre_scores_gemma":[0.16214527,0.003324848,0.013731982,0.00016575179,0.00018536467,0.00032350808,0.8171069,0.00043712975,0.0025792646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991302,0.00005441846,0.00013395783,0.00025419664,0.00035563382,0.00007153048],"domain_scores_gemma":[0.99861217,0.00014423537,0.00033699427,0.00018394805,0.00060814666,0.0001144757],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077677215,0.0011618205,0.0005867648,0.005156697,0.0003983019,0.0007923707,0.0006164805,0.00055750884,0.0015041657],"category_scores_gemma":[0.0013029464,0.00031688553,0.0006482157,0.007251036,0.00017853617,0.00070147845,0.001141656,0.00038533116,0.002070607],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000733091,0.0003593489,0.60677195,0.0067375097,0.0016889279,0.00085346785,0.0008012043,0.004485547,0.0491417,0.0011734294,0.13914089,0.18811294],"study_design_scores_gemma":[0.000057785834,0.00013943069,0.75419503,0.00048892945,0.0003343697,0.00035572748,0.00048869196,0.0023512668,0.020614954,0.00033868107,0.22054443,0.00009067548],"about_ca_topic_score_codex":0.02184957,"about_ca_topic_score_gemma":0.023386993,"teacher_disagreement_score":0.02184957,"about_ca_system_score_codex":0.00046185695,"about_ca_system_score_gemma":0.0014492549,"threshold_uncertainty_score":0.043444812},"labels":[],"label_agreement":null},{"id":"W2998125886","doi":"10.5194/essd-12-61-2020","title":"An open-source database for the synthesis of soil radiocarbon data: International Soil Radiocarbon Database (ISRaD) version 1.0","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":107,"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":"H2020 European Research Council","keywords":"Radiocarbon dating; Database; Environmental science; Context (archaeology); Soil carbon; Soil water; Soil test; Soil gas; Soil science; Computer science; Geology","score_opus":0.06764781483585837,"score_gpt":0.2785071228622058,"score_spread":0.21085930802634745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998125886","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":[0.0006395786,0.0003256095,0.013075524,0.00012984066,0.000105144965,0.00014937928,0.9567938,0.025199082,0.003582019],"genre_scores_gemma":[0.0023839618,0.0003613436,0.018387476,0.00017006854,0.000031217733,0.00046592095,0.97095215,0.00594745,0.0013004128],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99662066,0.0004414123,0.0011860769,0.00072570395,0.00074432127,0.00028184318],"domain_scores_gemma":[0.98819226,0.0033054943,0.0019477482,0.0031909987,0.0025653627,0.00079811004],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.007335246,0.0021245123,0.0022988687,0.008225472,0.0006959663,0.005093056,0.004595135,0.0019284383,0.089063674],"category_scores_gemma":[0.022615347,0.0014846347,0.0010523034,0.015642723,0.00058373285,0.0043704705,0.0047122934,0.0023171315,0.11646871],"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":[0.0006528744,0.00009542532,0.0040636156,0.005033107,0.00027290435,0.00024380657,0.0002838154,0.0017050164,0.0038091254,0.0066663595,0.91226465,0.06490942],"study_design_scores_gemma":[0.0002177976,0.00003823103,0.0059337155,0.0006043204,0.00011304796,0.00018353309,0.0001293095,0.0014474457,0.0026745503,0.0062198085,0.98230433,0.00013402289],"about_ca_topic_score_codex":0.005915475,"about_ca_topic_score_gemma":0.0051544732,"teacher_disagreement_score":0.99540484,"about_ca_system_score_codex":0.00107492,"about_ca_system_score_gemma":0.004370081,"threshold_uncertainty_score":0.29794765},"labels":[],"label_agreement":null},{"id":"W3002109786","doi":"10.5194/essd-12-1117-2020","title":"A digital archive of human activity in the McMurdo Dry Valleys, Antarctica","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Polar Research and Ecology","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Office of Polar Programs; University of Warwick; Colorado State University; National Science Foundation","keywords":"Metadata; Georeference; Interface (matter); Data management; Digital data; Computer science; World Wide Web; Data access; Glacier; Data science; Environmental resource management; Geography; Database; Physical geography; Environmental science","score_opus":0.05325508468987253,"score_gpt":0.29218354295605214,"score_spread":0.23892845826617962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3002109786","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":[0.009683501,0.002693938,0.00068464415,0.0011481475,0.00046237197,0.000119037664,0.9459148,0.0009775448,0.038316052],"genre_scores_gemma":[0.044301264,0.0071334774,0.012930765,0.0005753609,0.00055413245,0.00065327197,0.88551474,0.0010071791,0.0473297],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995468,0.000062405124,0.0000726568,0.000067819885,0.00019073708,0.000059472073],"domain_scores_gemma":[0.99739397,0.00039879984,0.00037019205,0.00063884875,0.0007706905,0.00042736306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096551294,0.00049547973,0.0005022551,0.010470549,0.0017024793,0.0031362234,0.0011535897,0.00046214918,0.05552068],"category_scores_gemma":[0.0030103105,0.00025464417,0.00022204025,0.03157065,0.000643405,0.001344336,0.001990869,0.00061002956,0.014647129],"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":[0.0000991698,0.000020640702,0.009547652,0.0011937801,0.0000410073,0.00034719356,0.00429972,0.00036041977,0.0007754464,0.002303602,0.855416,0.12559532],"study_design_scores_gemma":[0.000008606759,0.0000036148401,0.027520504,0.00032277755,0.0000128074125,0.000090610825,0.0009144639,0.000051540243,0.000094955714,0.00032694428,0.9706424,0.00001078947],"about_ca_topic_score_codex":0.124714375,"about_ca_topic_score_gemma":0.21653722,"teacher_disagreement_score":0.124714375,"about_ca_system_score_codex":0.001893215,"about_ca_system_score_gemma":0.005277017,"threshold_uncertainty_score":0.2479769},"labels":[],"label_agreement":null},{"id":"W3004534889","doi":"10.5194/essd-12-2261-2020","title":"The Iso2k database: a global compilation of paleo- <i>δ</i> <sup>18</sup> O and <i>δ</i> <sup>2</sup> H records to aid understanding of Common Era climate","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":113,"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":"Directorate for Geosciences","keywords":"Metadata; Context (archaeology); Database; Proxy (statistics); Geology; Computer science; Paleontology","score_opus":0.08706417849024393,"score_gpt":0.2958072329428415,"score_spread":0.20874305445259755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3004534889","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":[0.0028646903,0.00054204836,0.001593339,0.000056264947,0.00002830345,0.00005193434,0.9917012,0.0011099731,0.0020522485],"genre_scores_gemma":[0.002646084,0.00036894003,0.0041452036,0.000038492675,0.000011994481,0.00016962994,0.9920546,0.00021783306,0.00034737613],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99822944,0.00016128982,0.0004998325,0.0005201844,0.00042707176,0.00016219588],"domain_scores_gemma":[0.99326646,0.00093583483,0.0014924414,0.0014226383,0.0022074594,0.0006752278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023655973,0.002048472,0.0016393398,0.016177315,0.00073034986,0.0033045246,0.0031506154,0.0011742427,0.0114498325],"category_scores_gemma":[0.007952833,0.0009285074,0.0008140152,0.025360312,0.0004662448,0.0033798185,0.0037193617,0.001214774,0.015060232],"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":[0.00053521147,0.00018311494,0.057644375,0.008814099,0.0007840997,0.00041938177,0.0006998725,0.0039958693,0.00772668,0.005518048,0.7906743,0.123004936],"study_design_scores_gemma":[0.0000901478,0.000035009994,0.06338048,0.0010638121,0.00026182557,0.00024413531,0.00043820275,0.0015851614,0.003448053,0.0022331467,0.92707086,0.00014905827],"about_ca_topic_score_codex":0.014365055,"about_ca_topic_score_gemma":0.019284913,"teacher_disagreement_score":0.016177315,"about_ca_system_score_codex":0.001073924,"about_ca_system_score_gemma":0.0036634074,"threshold_uncertainty_score":0.038303554},"labels":[],"label_agreement":null},{"id":"W3007804162","doi":"10.5194/essd-12-1823-2020","title":"A high-resolution reanalysis of global fire weather from 1979 to 2018 – overwintering the Drought Code","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":77,"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 Alberta; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"","keywords":"Environmental science; Climatology; Overwintering; Precipitation; Meteorology; Climate Forecast System; Geology; Geography","score_opus":0.02042263635198526,"score_gpt":0.2377858394536458,"score_spread":0.21736320310166052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3007804162","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":[0.25938344,0.00136678,0.013105681,0.00078707276,0.0007112986,0.0003166212,0.68705386,0.0059588207,0.031316444],"genre_scores_gemma":[0.48701346,0.0011229458,0.04339542,0.0001795694,0.0001429813,0.00023611495,0.45767567,0.0009243009,0.00930958],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996723,0.000012548643,0.000012530204,0.000051955172,0.00019686879,0.00005377727],"domain_scores_gemma":[0.99919134,0.000017145281,0.000041580093,0.00004666165,0.0006430388,0.0000601458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005326503,0.00061407825,0.00035412968,0.001630891,0.0006295275,0.00080648664,0.00081301207,0.00027366323,0.0031179474],"category_scores_gemma":[0.0009902569,0.0002316599,0.0005828814,0.0026085752,0.0002013145,0.00039222382,0.00041701214,0.0006446986,0.001155739],"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":[0.00046557203,0.00020594346,0.29338548,0.0006863116,0.0012307947,0.00042089057,0.00079597975,0.08174142,0.008878648,0.0038764458,0.4404343,0.16787821],"study_design_scores_gemma":[0.0002942763,0.000036152112,0.58179516,0.00021356891,0.00024009841,0.00010575191,0.00038544423,0.06180064,0.007997847,0.0007795624,0.34617165,0.00017980824],"about_ca_topic_score_codex":0.9422834,"about_ca_topic_score_gemma":0.9616998,"teacher_disagreement_score":0.9422834,"about_ca_system_score_codex":0.0041889497,"about_ca_system_score_gemma":0.010693829,"threshold_uncertainty_score":0.11611295},"labels":[],"label_agreement":null},{"id":"W3008335424","doi":"10.5194/essd-12-1877-2020","title":"A comprehensive oceanographic dataset of a subpolar, mid-latitude broad fjord: Fortune Bay, Newfoundland, Canada","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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":true,"ca_institutions":"Fisheries and Oceans Canada","funders":"","keywords":"Fjord; Oceanography; Upwelling; Bay; Downwelling; Geology; Latitude; Shore; Water column; Climatology","score_opus":0.036897976170321686,"score_gpt":0.23408577801544905,"score_spread":0.19718780184512735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008335424","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":[0.120010495,0.0008329781,0.00042819444,0.00018061703,0.000044211105,0.00009376984,0.87419796,0.00035957448,0.0038521604],"genre_scores_gemma":[0.12735094,0.0005722831,0.0017597546,0.000111405236,0.00001537484,0.00014310025,0.8656333,0.000060739876,0.0043531046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945384,0.000027715554,0.000048098398,0.00015599286,0.00015047738,0.00016382434],"domain_scores_gemma":[0.9979274,0.000110190915,0.00021539898,0.00022179143,0.0012440184,0.0002811742],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003557454,0.0008236513,0.000557112,0.0029762024,0.0013010857,0.001209035,0.00096344494,0.0005124374,0.0032695665],"category_scores_gemma":[0.0012888697,0.00032545257,0.00040102546,0.00829966,0.00042703748,0.00036742017,0.0008570652,0.0004749111,0.0017694217],"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":[0.00034839357,0.00019099115,0.55372626,0.0009823337,0.000513546,0.0010347062,0.0011184621,0.008135177,0.004454505,0.0008193151,0.38131574,0.047360584],"study_design_scores_gemma":[0.00004848439,0.000026679352,0.8688759,0.00022059344,0.00006774088,0.00011568178,0.0012038436,0.0039540594,0.0007674002,0.0000629676,0.124590956,0.00006559494],"about_ca_topic_score_codex":0.98523325,"about_ca_topic_score_gemma":0.9925849,"teacher_disagreement_score":0.014766753,"about_ca_system_score_codex":0.008728238,"about_ca_system_score_gemma":0.017183287,"threshold_uncertainty_score":0.06332809},"labels":[],"label_agreement":null},{"id":"W3014413384","doi":"10.5194/essd-12-1835-2020","title":"A Canadian River Ice Database from the National Hydrometric Program Archives","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Database; Hydrology (agriculture); Climate change; Climatology; Physical geography; Geography; Geology; Computer science","score_opus":0.046938223448426346,"score_gpt":0.24532488362554708,"score_spread":0.19838666017712073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3014413384","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":[0.001623291,0.0002002507,0.00043839667,0.00007692322,0.000020042005,0.00011625,0.9892429,0.00028419323,0.007997682],"genre_scores_gemma":[0.0051384564,0.0004127779,0.0026543105,0.000041316758,0.000009541675,0.00016812084,0.98816097,0.00009406463,0.0033203796],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99785894,0.000059172617,0.00020653843,0.0002515876,0.0013637961,0.00025993204],"domain_scores_gemma":[0.98626524,0.0002925369,0.00058495376,0.00064027135,0.01153802,0.0006790331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015193969,0.0009935058,0.0007715321,0.017187225,0.002233697,0.0026975807,0.0021484175,0.00034023062,0.025364025],"category_scores_gemma":[0.006766549,0.00044377672,0.0004997008,0.03488485,0.00036520872,0.0012695423,0.0012481831,0.0007479018,0.010477547],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000890447,0.0000347222,0.020236192,0.0006472245,0.00006839675,0.00010634817,0.00026903485,0.00067432155,0.00040797252,0.0031802293,0.9208972,0.053389385],"study_design_scores_gemma":[0.000033201683,0.000009056877,0.097512916,0.00033267844,0.000052017684,0.00007065935,0.00041531143,0.001162971,0.00060374924,0.0005610917,0.89918035,0.000065833694],"about_ca_topic_score_codex":0.97072136,"about_ca_topic_score_gemma":0.98113203,"teacher_disagreement_score":0.029278636,"about_ca_system_score_codex":0.016535332,"about_ca_system_score_gemma":0.05957503,"threshold_uncertainty_score":0.119972825},"labels":[],"label_agreement":null},{"id":"W3016438096","doi":"10.5194/essd-12-2459-2020","title":"CAMELS-GB: hydrometeorological time series and landscape attributes for 671 catchments in Great Britain","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":277,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Engineering and Physical Sciences Research Council; Met Office; Natural Environment Research Council; Sight Research UK; Natural Resources Wales","keywords":"Hydrometeorology; Drainage basin; Catchment hydrology; Streamflow; Hydrology (agriculture); Environmental science; Evapotranspiration; Range (aeronautics); Climate change; Physical geography; Geography; Meteorology; Precipitation; Geology; Ecology; Cartography","score_opus":0.030585839367389053,"score_gpt":0.2375187217238254,"score_spread":0.20693288235643637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016438096","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":[0.027391806,0.00018237789,0.0006510926,0.00014557708,0.000025075109,0.000050392347,0.96905094,0.0009218866,0.0015809764],"genre_scores_gemma":[0.022935279,0.00009701626,0.0009437732,0.00006049213,0.000014688796,0.00021668167,0.9746122,0.00015727556,0.00096264074],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991736,0.00010867936,0.00012490942,0.00024942379,0.00024139871,0.00010196074],"domain_scores_gemma":[0.9979571,0.00033368432,0.0003727825,0.00035963336,0.00069625815,0.00028036907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007212696,0.00081162737,0.0008224961,0.0036446047,0.0002836112,0.0013714822,0.001117172,0.00079441996,0.012565036],"category_scores_gemma":[0.005062565,0.0005229192,0.00087588746,0.0068058195,0.00031200098,0.0009170815,0.0015858632,0.00070473365,0.010855409],"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":[0.00045560286,0.00015111326,0.09908894,0.0015914801,0.00041615937,0.00057739613,0.00073171436,0.008738766,0.0020751432,0.0013773862,0.85196817,0.032828048],"study_design_scores_gemma":[0.0004360959,0.000059343183,0.56930524,0.0003627706,0.00008952635,0.0002549228,0.00064462225,0.010997102,0.0009064466,0.0010761122,0.4157311,0.00013669663],"about_ca_topic_score_codex":0.1143606,"about_ca_topic_score_gemma":0.10253289,"teacher_disagreement_score":0.1143606,"about_ca_system_score_codex":0.0015169298,"about_ca_system_score_gemma":0.0012120589,"threshold_uncertainty_score":0.22738987},"labels":[],"label_agreement":null},{"id":"W3016926768","doi":"10.5194/essd-12-3367-2020","title":"Deep-sea sediments of the global ocean","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geochemistry and Geologic Mapping","field":"Computer Science","cited_by":43,"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":"Memorial University of Newfoundland","keywords":"Lithology; Seafloor spreading; Sediment; Geology; Deep sea; Seabed; Spatial distribution; Oceanography; Paleontology; Remote sensing","score_opus":0.0373973160324736,"score_gpt":0.2459105845001385,"score_spread":0.2085132684676649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3016926768","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8574235,0.007487086,0.0029474099,0.00085167587,0.00017157292,0.000024079056,0.10228047,0.0003999246,0.028414108],"genre_scores_gemma":[0.95378804,0.0025996089,0.0031925552,0.00015005804,0.000042737753,0.000017621272,0.03632561,0.00006122309,0.0038224554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993396,0.0000072492317,0.000006185506,0.00002051994,0.000020620162,0.00001145817],"domain_scores_gemma":[0.99977213,0.00002156919,0.000056964527,0.0000276297,0.00009003428,0.00003167519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014560271,0.00044356947,0.00018728976,0.0017208388,0.00016759727,0.0008627648,0.00011704037,0.0001913291,0.0022269208],"category_scores_gemma":[0.00041566213,0.00013589347,0.00018547705,0.0046364847,0.00014593116,0.0005483099,0.000720517,0.000254583,0.00075595756],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018263485,0.00003981539,0.75255895,0.00083257345,0.00028935802,0.0003698869,0.00050015823,0.010592542,0.0061388095,0.0034662466,0.017340628,0.20768845],"study_design_scores_gemma":[0.000008592011,0.000024826977,0.9465109,0.00010026114,0.00005114698,0.00009502651,0.0003956671,0.0017924604,0.00087664416,0.0016611599,0.048470408,0.000012862904],"about_ca_topic_score_codex":0.015546318,"about_ca_topic_score_gemma":0.0294635,"teacher_disagreement_score":0.015546318,"about_ca_system_score_codex":0.00040882904,"about_ca_system_score_gemma":0.0003741732,"threshold_uncertainty_score":0.030911684},"labels":[],"label_agreement":null},{"id":"W3024736694","doi":"10.5194/essd-12-2381-2020","title":"SCDNA: a serially complete precipitation and temperature dataset for North America from 1979 to 2018","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":79,"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; Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Global Water Futures; Canada First Research Excellence Fund","keywords":"Precipitation; Environmental science; Hydrometeorology; Climatology; Meteorology; Quantile; Benchmark (surveying); Interpolation (computer graphics); Computer science; Statistics; Geography; Mathematics; Geology; Cartography","score_opus":0.06464931966081024,"score_gpt":0.26899835249422777,"score_spread":0.20434903283341754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3024736694","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":[0.05900118,0.00021252388,0.0023068348,0.00026035964,0.000114244416,0.000094034775,0.9347633,0.00091314816,0.0023343754],"genre_scores_gemma":[0.050127067,0.00008555532,0.006315012,0.00006267113,0.000056192832,0.00031062253,0.9420013,0.000093516974,0.0009480336],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995165,0.00007493946,0.00006024932,0.00017302735,0.00012757287,0.000047638958],"domain_scores_gemma":[0.99832374,0.00010067754,0.00028595264,0.0003524404,0.0008062412,0.00013081929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062706583,0.0005334749,0.00058062276,0.0014899053,0.00044996932,0.0005433948,0.00125144,0.00045376952,0.003315724],"category_scores_gemma":[0.0021503454,0.000264585,0.00045668642,0.0026764597,0.00022244308,0.00058997446,0.00082031894,0.00087338925,0.0025810332],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005274648,0.00033253382,0.19874245,0.0005970686,0.00056159735,0.0003358026,0.0004191556,0.016112799,0.0035852895,0.0020225202,0.72792923,0.048834093],"study_design_scores_gemma":[0.00040191898,0.00007439386,0.5018288,0.00018741214,0.00011518203,0.0001346789,0.00045167125,0.02083789,0.003129529,0.0013400974,0.47140473,0.00009367922],"about_ca_topic_score_codex":0.095569395,"about_ca_topic_score_gemma":0.13130789,"teacher_disagreement_score":0.9044306,"about_ca_system_score_codex":0.00082180864,"about_ca_system_score_gemma":0.0024546129,"threshold_uncertainty_score":0.19002622},"labels":[],"label_agreement":null},{"id":"W3027275262","doi":"10.5194/essd-12-2607-2020","title":"The Global Space-based Stratospheric Aerosol Climatology (version 2.0): 1979–2018","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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 Saskatchewan","funders":"National Aeronautics and Space Administration","keywords":"Aerosol; Stratosphere; Radiative forcing; Environmental science; Atmospheric sciences; Coupled model intercomparison project; Climatology; Climate model; Ozone layer; Troposphere; Total Ozone Mapping Spectrometer; Forcing (mathematics); Atmospheric chemistry; Meteorology; Climate change; Ozone; Physics; Geology","score_opus":0.03053195874844275,"score_gpt":0.23913943666723042,"score_spread":0.20860747791878767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027275262","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":[0.012728296,0.00047052046,0.001444466,0.00038312026,0.00063691597,0.00012335845,0.9770518,0.0019302755,0.0052311947],"genre_scores_gemma":[0.039542772,0.00042912262,0.0046248506,0.0002135444,0.00019471941,0.0002444598,0.95125026,0.00072326686,0.0027771061],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.999539,0.000039952447,0.000058816368,0.000110692374,0.0001986452,0.000052821193],"domain_scores_gemma":[0.99902093,0.000035622063,0.00011174201,0.00014337139,0.0006095943,0.00007871133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00092177256,0.00089838094,0.0006995955,0.0016518184,0.00039513723,0.0010229391,0.0009529696,0.00073280605,0.0069203055],"category_scores_gemma":[0.0015086763,0.00037902652,0.000610693,0.0024344965,0.00020162878,0.0011148566,0.0008107832,0.0011768658,0.0080542965],"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":[0.0003028339,0.00013971611,0.047846977,0.001347099,0.0004381757,0.00021487988,0.00023674122,0.0072733248,0.006229285,0.0023553318,0.8899873,0.043628406],"study_design_scores_gemma":[0.0001849685,0.000037256406,0.11979947,0.00024260196,0.00010828969,0.00008899609,0.00009321686,0.0047296565,0.0034051083,0.0007050151,0.87054235,0.00006302919],"about_ca_topic_score_codex":0.060520917,"about_ca_topic_score_gemma":0.044515006,"teacher_disagreement_score":0.060520917,"about_ca_system_score_codex":0.0009602161,"about_ca_system_score_gemma":0.001987886,"threshold_uncertainty_score":0.12033731},"labels":[],"label_agreement":null},{"id":"W3033530208","doi":"10.5194/essd-12-3413-2020","title":"A global anthropogenic emission inventory of atmospheric pollutants from sector- and fuel-specific sources (1970–2017): an application of the Community Emissions Data System (CEDS)","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":611,"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; Dalhousie University","funders":"Health Effects Institute","keywords":"Emission inventory; Environmental science; Greenhouse gas; Pollutant; Criteria air contaminants; Fugitive emissions; Combustion; Pollution; Air pollution; Meteorology; Air quality index; Air pollutants; Geography","score_opus":0.06833495562898284,"score_gpt":0.26547051151877477,"score_spread":0.19713555588979192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033530208","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":[0.06387378,0.0006972596,0.0094274245,0.0005257611,0.00025822263,0.0002687873,0.9136843,0.0013680614,0.009896293],"genre_scores_gemma":[0.13103198,0.0012759453,0.03664941,0.00014044966,0.00009709273,0.00046387283,0.82837427,0.0003617532,0.0016051998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99917334,0.000087433385,0.00012690341,0.00017529179,0.00036927217,0.00006782546],"domain_scores_gemma":[0.99732023,0.00021884879,0.00034452605,0.0003079365,0.0016164908,0.0001918813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017468785,0.00085450924,0.0005716646,0.0058490406,0.0004594149,0.0010766063,0.00078432093,0.0004397258,0.0021467255],"category_scores_gemma":[0.0026164649,0.0004296643,0.001141465,0.012584065,0.00024578627,0.0017521806,0.0017180206,0.00094036304,0.0011771012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00051021145,0.00037877675,0.35699034,0.0040588886,0.001327275,0.0006360927,0.00085185684,0.053379424,0.00828026,0.010200704,0.34398845,0.21939775],"study_design_scores_gemma":[0.00021434778,0.00009170448,0.37937683,0.0010463911,0.000534731,0.00016940126,0.0012897161,0.04411553,0.010558734,0.0033272987,0.55898803,0.0002872473],"about_ca_topic_score_codex":0.14847459,"about_ca_topic_score_gemma":0.11011859,"teacher_disagreement_score":0.14847459,"about_ca_system_score_codex":0.0018293599,"about_ca_system_score_gemma":0.0051292935,"threshold_uncertainty_score":0.29522073},"labels":[],"label_agreement":null},{"id":"W3043337003","doi":"10.5194/essd-12-2695-2020","title":"Half-hourly changes in intertidal temperature at nine wave-exposed locations along the Atlantic Canadian coast: a 5.5-year study","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal plant biology","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":true,"ca_institutions":"St. Francis Xavier University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Deutscher Akademischer Austauschdienst; Canada Foundation for Innovation","keywords":"Intertidal zone; Intertidal ecology; Rocky shore; Oceanography; Temperate climate; Environmental science; Tide pool; Shore; Bay; Habitat; Sea surface temperature; Climatology; Atmospheric sciences; Ecology; Geology; Biology","score_opus":0.03959667924259243,"score_gpt":0.21800585814671103,"score_spread":0.17840917890411861,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043337003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602063,0.00051708,0.00048633298,0.00020771073,0.0000361244,0.00009251841,0.034567527,0.000037748985,0.003848502],"genre_scores_gemma":[0.96956617,0.00056958693,0.0012236333,0.00017978981,0.000014356866,0.000110989255,0.024806349,0.000023908253,0.0035052218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995726,0.000023492707,0.000024746721,0.00010077388,0.00014411849,0.0001342547],"domain_scores_gemma":[0.99882907,0.000035660156,0.00013569607,0.000056832636,0.0007238888,0.00021871133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005044597,0.00042890047,0.00039924754,0.0013921281,0.0020819819,0.0009911758,0.00096580654,0.0004163159,0.0015859258],"category_scores_gemma":[0.000662621,0.00032009406,0.0006586092,0.003386951,0.0004891733,0.00034749781,0.00080037257,0.0006180872,0.00044991806],"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":[0.00007830884,0.000047083875,0.9861486,0.00006807459,0.00012153187,0.00008549523,0.0011990197,0.0002536292,0.0006685723,0.00006791467,0.004049886,0.007211913],"study_design_scores_gemma":[0.0000020347927,0.0000076274864,0.9980415,0.000014100897,0.000013200663,0.000010205323,0.0005564632,0.00011915738,0.00003252599,0.0000039568013,0.0011941011,0.0000051469974],"about_ca_topic_score_codex":0.9926663,"about_ca_topic_score_gemma":0.9973787,"teacher_disagreement_score":0.011146105,"about_ca_system_score_codex":0.011146105,"about_ca_system_score_gemma":0.011572557,"threshold_uncertainty_score":0.080870986},"labels":[],"label_agreement":null},{"id":"W3045226087","doi":"10.5194/essd-12-3383-2020","title":"A decade of GOSAT Proxy satellite CH <sub>4</sub> observations","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":172,"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":"Eurostars; Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Canadian Space Agency; Sorbonne Université; Environment and Climate Change Canada; Centre National de la Recherche Scientifique; Korea Meteorological Administration; National Aeronautics and Space Administration; Ministry of Environment; Université de La Réunion; Centre National d’Etudes Spatiales; National Centre for Earth Observation; Conseil Régional, Île-de-France; European Space Agency; Agence Nationale de la Recherche; Bundesministerium für Wirtschaft und Energie; University of Leicester; Sight Research UK","keywords":"Environmental science; Satellite; Greenhouse gas; Proxy (statistics); Meteorology; Atmospheric sciences; Statistics; Geology; Geography; Mathematics; Physics; Oceanography","score_opus":0.035291405013214074,"score_gpt":0.22693123169997637,"score_spread":0.1916398266867623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045226087","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":[0.32609627,0.0034802086,0.008175293,0.0022770183,0.0006829782,0.00014684748,0.6380593,0.003458659,0.01762343],"genre_scores_gemma":[0.2329287,0.0016298783,0.016303198,0.00090704585,0.0003032883,0.00017627203,0.7414204,0.0008172367,0.005514046],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99935967,0.000049852664,0.0000398967,0.00018741137,0.00028357623,0.00007961436],"domain_scores_gemma":[0.99839634,0.00019555292,0.00029262723,0.00039919507,0.00060473516,0.00011151858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081587036,0.0005901336,0.00035151432,0.0012897607,0.0003416903,0.0008246593,0.00064152404,0.00047781676,0.0041595],"category_scores_gemma":[0.0018734328,0.00026824948,0.0004007098,0.003727284,0.00034090204,0.00093613967,0.0009152871,0.0006591166,0.001956299],"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":[0.0014667877,0.00015160345,0.2852091,0.0020535348,0.0008778747,0.0007413669,0.00059216405,0.02303481,0.03503191,0.0045093116,0.38947585,0.25685567],"study_design_scores_gemma":[0.00006681146,0.00007379178,0.5155341,0.00022804756,0.00016689592,0.000167959,0.00028642078,0.0063642897,0.013256599,0.0008032685,0.46294716,0.000104619045],"about_ca_topic_score_codex":0.08842958,"about_ca_topic_score_gemma":0.119590886,"teacher_disagreement_score":0.08842958,"about_ca_system_score_codex":0.0011170491,"about_ca_system_score_gemma":0.0009852678,"threshold_uncertainty_score":0.17582971},"labels":[],"label_agreement":null},{"id":"W3081945374","doi":"10.5194/essd-13-2875-2021","title":"Hydrometeorological, glaciological and geospatial research data from the Peyto Glacier Research Basin in the Canadian Rockies","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"University of Victoria; Geological Survey of Canada; University of Saskatchewan; Natural Resources Canada; University of Toronto; University of Northern British Columbia","funders":"Global Water Futures; Natural Resources Canada; Canada Research Chairs; Environment Canada; BC Hydro; Canadian Foundation for Climate and Atmospheric Sciences; Canada Foundation for Innovation","keywords":"Hydrometeorology; Glacier; Glacier mass balance; Climate change; Climatology; Digital elevation model; Precipitation; Cryosphere; Physical geography; Geology; Structural basin; Environmental science; Meteorology; Geography; Remote sensing; Geomorphology","score_opus":0.4457331607735157,"score_gpt":0.395350912806083,"score_spread":0.050382247967432736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3081945374","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61738914,0.002380493,0.0008805632,0.0005887598,0.00003528501,0.00017310331,0.35817176,0.00020670862,0.020174237],"genre_scores_gemma":[0.57714283,0.0026272042,0.0039063497,0.00020509312,0.000022081847,0.00016222977,0.4047022,0.00006370658,0.011168228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942327,0.000024540594,0.000025955109,0.00007865236,0.00031162484,0.00013590764],"domain_scores_gemma":[0.99862456,0.000046480487,0.00014838675,0.00007752686,0.0009001464,0.0002029956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040248275,0.00040743194,0.00023093987,0.0035188943,0.0011876713,0.0007960098,0.00046643213,0.00018057143,0.00186402],"category_scores_gemma":[0.0010716966,0.00016194186,0.0002594846,0.008832707,0.00031063627,0.00031523037,0.0007220196,0.00033869548,0.00045205097],"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":[0.00016611979,0.000113231035,0.8215767,0.00038758985,0.00025819938,0.0003071643,0.0018070445,0.0035742207,0.0037608384,0.0018832682,0.08292711,0.08323842],"study_design_scores_gemma":[0.000009724287,0.000006090424,0.9630233,0.00004236964,0.000023235609,0.00003353665,0.00056049804,0.0006324312,0.00045785255,0.000060987153,0.03513464,0.000015475433],"about_ca_topic_score_codex":0.9903887,"about_ca_topic_score_gemma":0.9970126,"teacher_disagreement_score":0.010194625,"about_ca_system_score_codex":0.010194625,"about_ca_system_score_gemma":0.022846768,"threshold_uncertainty_score":0.073967576},"labels":[],"label_agreement":null},{"id":"W3083704968","doi":"10.5194/essd-12-2013-2020","title":"Heat stored in the Earth system: where does the energy go?","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":378,"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; St. Francis Xavier University","funders":"Natural Environment Research Council; Natural Sciences and Engineering Research Council of Canada; Scheme for Promotion of Academic and Research Collaboration; Nuclear Safety and Security Commission; Met Office; Sight Research UK; Austrian Science Fund; Canada Research Chairs; National Science Foundation; St. Francis Xavier University; National Aeronautics and Space Administration; Department for Environment, Food and Rural Affairs, UK Government; Memorial University of Newfoundland","keywords":"Environmental science; Atmosphere (unit); Global warming; Climatology; Climate change; Climate model; Earth system science; Atmospheric sciences; Cryosphere; Ice-albedo feedback; Meteorology; Sea ice; Geology; Geography; Oceanography; Antarctic sea ice","score_opus":0.038756841153833835,"score_gpt":0.2384344220595912,"score_spread":0.19967758090575738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083704968","genre_codex":"review","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":[0.032828607,0.74419004,0.00401981,0.15872966,0.008662418,0.000029243984,0.0018483553,0.0001421495,0.049549773],"genre_scores_gemma":[0.55630803,0.41004112,0.0014590329,0.013784861,0.0078218505,0.000057832913,0.0007867477,0.00009102144,0.009649586],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995196,0.00018190236,0.000028561704,0.00007969897,0.00011588017,0.00007424243],"domain_scores_gemma":[0.9990012,0.0003339815,0.000102795624,0.0000727376,0.0003617005,0.00012767721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088552426,0.0006048621,0.0008159315,0.0016386947,0.0011516502,0.005935623,0.0006827003,0.001487161,0.012101788],"category_scores_gemma":[0.0027617957,0.00026688495,0.00033821713,0.0026261616,0.003694069,0.008644966,0.001566075,0.0023633004,0.0018623547],"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":[0.00029302313,0.000118410455,0.038128182,0.005253646,0.0002600411,0.00039988523,0.0035970951,0.003442131,0.0014822136,0.13301475,0.15838598,0.6556245],"study_design_scores_gemma":[0.000029118626,0.00019528162,0.079867795,0.01132561,0.0002372535,0.00053540064,0.015162037,0.002295273,0.0010692159,0.2974722,0.59162295,0.00018782738],"about_ca_topic_score_codex":0.013958363,"about_ca_topic_score_gemma":0.015122728,"teacher_disagreement_score":0.013958363,"about_ca_system_score_codex":0.0023613719,"about_ca_system_score_gemma":0.0023789057,"threshold_uncertainty_score":0.040484548},"labels":[],"label_agreement":null},{"id":"W3087199000","doi":"10.5194/essd-13-199-2021","title":"Shipborne measurements of XCO <sub>2</sub> , XCH <sub>4</sub> , and XCO above the Pacific Ocean and comparison to CAMS atmospheric analyses and S5P/TROPOMI","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":26,"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":"Longitude; Latitude; Environmental science; Atmospheric sciences; Atmosphere (unit); Meteorology; Geodesy; Geology; Physics","score_opus":0.03971421856020606,"score_gpt":0.26407929000121017,"score_spread":0.2243650714410041,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087199000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749357,0.000116808646,0.00064157386,0.000049693735,0.000030699248,0.0000191431,0.021224335,0.00019919832,0.0027828875],"genre_scores_gemma":[0.95145375,0.00015224033,0.0035834105,0.00005301215,0.00003715949,0.000041505795,0.043263543,0.00005708947,0.0013582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998896,0.0000071213917,0.0000050345707,0.00004068929,0.000039434406,0.000018094137],"domain_scores_gemma":[0.999819,0.000017124274,0.000041446336,0.000037122965,0.000061812956,0.000023455175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020654514,0.00042342435,0.00015850225,0.0005922009,0.00027806623,0.00028628987,0.0003490166,0.0002999965,0.001125765],"category_scores_gemma":[0.00028575404,0.00017155633,0.00025905028,0.0009512287,0.00014271436,0.00024393213,0.0003072696,0.00021528415,0.00031041127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010627904,0.00031034282,0.78177714,0.0003415085,0.00042674845,0.000558621,0.00029949303,0.013442113,0.15082087,0.00034884378,0.0094630215,0.041148458],"study_design_scores_gemma":[0.000031770564,0.000054776217,0.97399646,0.000011531725,0.000050465344,0.00005108364,0.0000777291,0.00743437,0.014313979,0.00004505824,0.0039172266,0.00001563928],"about_ca_topic_score_codex":0.03572827,"about_ca_topic_score_gemma":0.072471574,"teacher_disagreement_score":0.03572827,"about_ca_system_score_codex":0.0003283062,"about_ca_system_score_gemma":0.00033496958,"threshold_uncertainty_score":0.07104063},"labels":[],"label_agreement":null},{"id":"W3091652245","doi":"10.5194/essd-13-1613-2021","title":"A multiproxy database of western North American Holocene paleoclimate records","year":2021,"lang":"en","type":"article","venue":"Earth system science data","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":"Queen's University; Mount Royal University; Geological Survey of Canada; Carleton University; Natural Resources Canada; University of British Columbia, Okanagan Campus; University of British Columbia; Canadian Forest Service","funders":"U.S. Geological Survey; Directorate for Geosciences; National Science Foundation","keywords":"Paleoclimatology; Holocene; Proxy (statistics); Climatology; Climate change; Database; Geology; Before Present; Physical geography; Climate sensitivity; Oceanography; Climate model; Geography","score_opus":0.05025387178134322,"score_gpt":0.2920296161418424,"score_spread":0.2417757443604992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091652245","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":[0.013160853,0.00026313495,0.0008723095,0.00005743426,0.0000160283,0.00005361606,0.9803966,0.0010050659,0.004174984],"genre_scores_gemma":[0.014245425,0.00027467942,0.0033349833,0.00003466561,0.000016778644,0.00023960228,0.97944564,0.00014907637,0.0022591464],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99961036,0.00003464901,0.00008312126,0.00013082074,0.00010279191,0.000038161957],"domain_scores_gemma":[0.99692327,0.00047699627,0.0004925528,0.0007131054,0.0010801016,0.00031383836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007323376,0.00046042854,0.00052018196,0.008035669,0.00054014,0.0013733233,0.0010755878,0.00039536328,0.026446575],"category_scores_gemma":[0.0025209624,0.00044919082,0.00024180756,0.013948973,0.00016462251,0.0010949877,0.0011101485,0.00042505434,0.009138168],"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":[0.00050697057,0.0002295906,0.110833086,0.0022087367,0.00032098094,0.00036679834,0.0009276994,0.0020636432,0.005142389,0.0028336989,0.65444344,0.2201231],"study_design_scores_gemma":[0.00008726324,0.00003109779,0.37056997,0.00034238002,0.00013737746,0.0001878924,0.0004959997,0.0019173343,0.0024940898,0.0011549509,0.6225229,0.00005872707],"about_ca_topic_score_codex":0.032998066,"about_ca_topic_score_gemma":0.063908115,"teacher_disagreement_score":0.032998066,"about_ca_system_score_codex":0.00059217744,"about_ca_system_score_gemma":0.0024653946,"threshold_uncertainty_score":0.088472605},"labels":[],"label_agreement":null},{"id":"W3092376471","doi":"10.5194/essd-13-2607-2021","title":"Global transpiration data from sap flow measurements: the SAPFLUXNET database","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","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":"McMaster University","funders":"Institució Catalana de Recerca i Estudis Avançats; Agència de Gestió d'Ajuts Universitaris i de Recerca; Ministerio de Economía y Competitividad; Ministerio de Ciencia e Innovación; Ministerio de Educación, Cultura y Deporte; Alexander von Humboldt-Stiftung","keywords":"Transpiration; Environmental science; Database; Water cycle; Vegetation (pathology); Hydrology (agriculture); Computer science; Vapour Pressure Deficit; Biome; Ecology; Ecosystem; Photosynthesis","score_opus":0.07703630145182766,"score_gpt":0.2656817862991448,"score_spread":0.18864548484731714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092376471","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":[0.0053043845,0.00020360145,0.00089788804,0.00005417297,0.000041879004,0.00003382556,0.9892707,0.0032025357,0.0009909535],"genre_scores_gemma":[0.006152914,0.00008998088,0.0014240404,0.00004033723,0.00001592499,0.000107166605,0.9916966,0.00023298078,0.00023991354],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911994,0.00007998867,0.00014018381,0.00036457062,0.00020190627,0.000093485025],"domain_scores_gemma":[0.9987562,0.0002105334,0.00021249813,0.0003192062,0.0003611097,0.000140452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091742625,0.0020368816,0.0012083616,0.0030140022,0.00035722664,0.001483837,0.0016384217,0.0011979784,0.009323484],"category_scores_gemma":[0.0024371373,0.00047642298,0.0012295072,0.004684394,0.0002760779,0.0016082198,0.0013712446,0.0010967201,0.012843424],"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":[0.0007877837,0.00017866002,0.05254609,0.004218967,0.00061347336,0.00046127566,0.00027123667,0.009452612,0.0055108573,0.002864235,0.88252896,0.04056583],"study_design_scores_gemma":[0.00057369407,0.00012930564,0.20632857,0.00083376566,0.00029076685,0.0005259547,0.0002722197,0.020725716,0.006612625,0.006240651,0.757181,0.0002857178],"about_ca_topic_score_codex":0.0067134243,"about_ca_topic_score_gemma":0.0061936565,"teacher_disagreement_score":0.009323484,"about_ca_system_score_codex":0.00056616217,"about_ca_system_score_gemma":0.001033428,"threshold_uncertainty_score":0.031190157},"labels":[],"label_agreement":null},{"id":"W3092817235","doi":"10.5194/essd-13-1561-2021","title":"The MALINA oceanographic expedition: how do changes in ice cover, permafrost and UV radiation impact biodiversity and biogeochemical fluxes in the Arctic Ocean?","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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":"McGill University; Institut National de la Recherche Scientifique; ArcticNet; University of Manitoba; Université du Québec à Rimouski; Université de Sherbrooke; Takuvik Joint International Laboratory; Université Laval","funders":"Centre National d’Etudes Spatiales; International Atomic Energy Agency; European Commission; Agence Nationale de la Recherche; National Aeronautics and Space Administration; University of Manitoba; European Space Agency; ArcticNet; Institut national des sciences de l'Univers; Transport Canada","keywords":"Oceanography; Environmental science; Arctic; Sea ice; Biogeochemical cycle; Phytoplankton; Continental shelf; Estuary; Colored dissolved organic matter; Geology; Ecology","score_opus":0.016830216828244142,"score_gpt":0.22204917199868354,"score_spread":0.2052189551704394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092817235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98600185,0.0016158123,0.00012811828,0.0015132381,0.00008628089,0.000017862569,0.006594083,0.000011049452,0.0040317047],"genre_scores_gemma":[0.99211746,0.00071435026,0.00038519004,0.00019885166,0.000069532885,0.000029869325,0.00469013,0.000009843368,0.0017848057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998048,0.00007771649,0.000010342186,0.000044303397,0.000031350864,0.00003153874],"domain_scores_gemma":[0.99939394,0.000083139974,0.00024240598,0.000034288565,0.0001283406,0.0001178533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061221846,0.00028632427,0.00018730582,0.00057313463,0.0006378037,0.0009038407,0.0003134864,0.00021425537,0.0010342903],"category_scores_gemma":[0.0012836942,0.00010712542,0.00014142525,0.0009135229,0.0002933485,0.00042303544,0.00069894106,0.0003097411,0.0002314493],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098869496,0.00001622915,0.9906337,0.00003372718,0.00006032001,0.000048649516,0.00027763483,0.00017136392,0.0002573819,0.000067042725,0.002646281,0.005688866],"study_design_scores_gemma":[0.0000025901475,0.0000076766155,0.99665785,0.000022981218,0.000009705345,0.000008546172,0.0003003985,0.00023422428,0.000065873726,0.000015107297,0.002673018,0.0000020752307],"about_ca_topic_score_codex":0.13989286,"about_ca_topic_score_gemma":0.3927381,"teacher_disagreement_score":0.13989286,"about_ca_system_score_codex":0.0011259414,"about_ca_system_score_gemma":0.0010545528,"threshold_uncertainty_score":0.27815723},"labels":[],"label_agreement":null},{"id":"W3092996019","doi":"10.5194/essd-13-1233-2021","title":"Meteorological observations collected during the Storms and Precipitation Across the continental Divide Experiment (SPADE), April–June 2019","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Meteorological Phenomena and Simulations","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":"Environment and Climate Change Canada; University of Manitoba; University of Saskatchewan; University of Northern British Columbia","funders":"Global Water Futures; Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Storm; Geology; Climatology; Arctic; Winter storm; Meteorology; Oceanography; Geography","score_opus":0.05872624776767935,"score_gpt":0.2773847739545761,"score_spread":0.21865852618689677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092996019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641774,0.000034258977,0.00037451333,0.00011003177,0.000062320505,0.00018709897,0.028688781,0.0000881526,0.0062773908],"genre_scores_gemma":[0.9436424,0.000092787195,0.0022417689,0.00012210925,0.00008428911,0.00045447913,0.04704319,0.000022257884,0.0062967497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997875,0.000024220988,0.000017208566,0.000050135244,0.00008343026,0.000037533846],"domain_scores_gemma":[0.99947006,0.000040298826,0.00009497816,0.000044464112,0.00022193143,0.00012830853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003004986,0.00026672572,0.00022714339,0.00046609525,0.0008251333,0.00030700897,0.0002925037,0.0002166281,0.0020483395],"category_scores_gemma":[0.00037506278,0.00011309247,0.00011459107,0.0005930445,0.00023589144,0.00017644104,0.00040084546,0.0004498136,0.0005664744],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019735098,0.0011055848,0.9057504,0.000097156684,0.00013524886,0.00050650246,0.0010519449,0.0016951353,0.03154452,0.00020357159,0.031504013,0.024432383],"study_design_scores_gemma":[0.000038044545,0.00012984329,0.9925135,0.0000045337483,0.000007969111,0.00001842423,0.00023242939,0.000572273,0.0011968068,0.000014289077,0.0052658673,0.0000060941898],"about_ca_topic_score_codex":0.102097,"about_ca_topic_score_gemma":0.3496855,"teacher_disagreement_score":0.102097,"about_ca_system_score_codex":0.0010567865,"about_ca_system_score_gemma":0.0011395605,"threshold_uncertainty_score":0.2030055},"labels":[],"label_agreement":null},{"id":"W3093432062","doi":"10.5194/essd-12-3269-2020","title":"Global Carbon Budget 2020","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2537,"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; Environment and Climate Change Canada","funders":"NOAA Pacific Marine Environmental Laboratory; H2020 European Research Council; Fondation BNP Paribas; Institut national des sciences de l'Univers; Norges Forskningsråd; Natural Environment Research Council; Princeton Environmental Institute, Princeton University; Institut de Recherche pour le Développement; Institut Polaire Français Paul Emile Victor; Sight Research UK; Muséum National d'Histoire Naturelle; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Helmholtz Association; Fonds Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Stifterverband; National Natural Science Foundation of China; Terres Australes et Antarctiques Françaises; European Commission; National Oceanic and Atmospheric Administration; Beijing Municipal Natural Science Foundation; National Science Foundation; European Space Agency; National Institute of Food and Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Prince Albert II of Monaco Foundation; Australian Government; U.S. Department of Commerce","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climate change; Global change; Atmospheric sciences; Global warming; Climatology; Sink (geography); Carbon dioxide; Land use, land-use change and forestry; Land use; Ecosystem; Oceanography; Geology; Geography; Ecology","score_opus":0.01378079328117828,"score_gpt":0.21894395313950812,"score_spread":0.20516315985832984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093432062","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0039956984,0.02933981,0.009763137,0.023376478,0.013350947,0.00055362965,0.24196629,0.0031993124,0.6744546],"genre_scores_gemma":[0.08852148,0.055621266,0.034585178,0.014795961,0.0028201216,0.003788237,0.32301062,0.0023578748,0.47449917],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99939084,0.000091167014,0.000029239916,0.000091734255,0.00027831097,0.0001187314],"domain_scores_gemma":[0.99933076,0.000035623394,0.000037984973,0.00005083193,0.0004679966,0.00007690676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015042087,0.0021759318,0.00082964776,0.0022109288,0.0007287633,0.0026593795,0.0010963901,0.0019505091,0.10859757],"category_scores_gemma":[0.0016011099,0.00040613167,0.00063047383,0.0038897162,0.00048234392,0.0027944564,0.0019051488,0.0019702755,0.07294792],"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":[0.00020398719,0.000044201828,0.000972296,0.0011468854,0.00007905932,0.00009528793,0.00005598024,0.0014605296,0.0015990493,0.041504715,0.706505,0.24633296],"study_design_scores_gemma":[0.000015485017,0.000015605514,0.0006251565,0.00015226644,0.0000087717335,0.00002719769,0.000022521821,0.00019327836,0.00020321243,0.0036908127,0.9950382,0.0000074351224],"about_ca_topic_score_codex":0.030780008,"about_ca_topic_score_gemma":0.0143647175,"teacher_disagreement_score":0.10859757,"about_ca_system_score_codex":0.003665585,"about_ca_system_score_gemma":0.007424239,"threshold_uncertainty_score":0.36329508},"labels":[],"label_agreement":null},{"id":"W3101608947","doi":"10.5194/essd-13-1519-2021","title":"Dynamics of shallow wakes on gravel-bed floodplains: dataset from field experiments","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Sediment Transport Processes","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":"University of Waterloo","funders":"Deutsche Forschungsgemeinschaft","keywords":"Geology; Context (archaeology); Scaling; Riparian zone; Wake; Turbulence; Sampling (signal processing); Floodplain; Transect; Hydrology (agriculture); Flow (mathematics); Replicate; Environmental science; Meteorology; Geotechnical engineering; Habitat; Mechanics; Geometry; Computer science; Physics; Ecology","score_opus":0.027352449155768496,"score_gpt":0.269250030168992,"score_spread":0.2418975810132235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3101608947","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87016207,0.00032914188,0.002348269,0.0001451372,0.000076757686,0.00013165342,0.12427825,0.0010672774,0.0014614299],"genre_scores_gemma":[0.6770255,0.00017370023,0.0071403966,0.000089882575,0.00004763069,0.00040007688,0.3138815,0.00011096646,0.0011303596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994624,0.00008868131,0.00005095794,0.00017824004,0.00013083244,0.000088895875],"domain_scores_gemma":[0.9988243,0.00029735267,0.00015587885,0.00029208674,0.00026912702,0.00016126577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055109226,0.0006968988,0.0009336184,0.0010900835,0.00037621337,0.00046893893,0.00074187876,0.00084804365,0.001096961],"category_scores_gemma":[0.0011333768,0.00018955342,0.0006175705,0.000961873,0.00044840152,0.0005138948,0.00064889836,0.00051517383,0.00084158516],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0024045184,0.005600011,0.5944063,0.002812238,0.0011588308,0.0026009134,0.0015990874,0.085037954,0.044786792,0.0011967773,0.16841698,0.08997972],"study_design_scores_gemma":[0.0002776461,0.0010590914,0.92069334,0.00011739828,0.00013060404,0.00035182692,0.0009319059,0.047126397,0.0052974173,0.00068213156,0.023188699,0.00014353708],"about_ca_topic_score_codex":0.0076737027,"about_ca_topic_score_gemma":0.018765574,"teacher_disagreement_score":0.0076737027,"about_ca_system_score_codex":0.00039921157,"about_ca_system_score_gemma":0.00039559987,"threshold_uncertainty_score":0.015258074},"labels":[],"label_agreement":null},{"id":"W3102601887","doi":"10.5194/essd-13-3791-2021","title":"Mass balances of Yala and Rikha Samba glaciers, Nepal, from 2000 to 2017","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"University of Alberta","funders":"Tribhuvan University; International Centre for Integrated Mountain Development","keywords":"Glacier; Glacier mass balance; Geodetic datum; Snow; Surge; Hydrology (agriculture); Physical geography; Environmental science; Geology; Geography; Geomorphology; Geodesy","score_opus":0.045586354467596076,"score_gpt":0.2509155035576679,"score_spread":0.20532914909007183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102601887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98923266,0.00037306015,0.0001872913,0.00006909058,0.0000078104085,0.000014580969,0.0067691603,0.00006365918,0.003282701],"genre_scores_gemma":[0.98951775,0.00033337538,0.00038734658,0.000036429577,0.000014038171,0.00004008305,0.0075706868,0.000019301953,0.002080991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999093,0.000006862951,0.000008715987,0.000025256766,0.000033033804,0.000016917873],"domain_scores_gemma":[0.99973005,0.000026424701,0.00007435677,0.00001770511,0.00012892595,0.000022456872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018357213,0.00036008077,0.00018816916,0.0018616006,0.00049829454,0.00069344847,0.0004232258,0.00022983934,0.0013569955],"category_scores_gemma":[0.00048690612,0.0001888801,0.00023240192,0.0017363928,0.0002855996,0.0006947853,0.00055754837,0.00028741444,0.00050967943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026838316,0.00006569039,0.93491584,0.0003914891,0.00032322534,0.00066739396,0.004009347,0.003221071,0.01023057,0.0003758048,0.003488085,0.042043112],"study_design_scores_gemma":[0.000008236823,0.00003064416,0.98961544,0.000037246933,0.000051084153,0.000168536,0.0007677505,0.0012223533,0.0018354796,0.00006892202,0.006178935,0.000015230147],"about_ca_topic_score_codex":0.03266683,"about_ca_topic_score_gemma":0.045779824,"teacher_disagreement_score":0.03266683,"about_ca_system_score_codex":0.0010577671,"about_ca_system_score_gemma":0.00057986757,"threshold_uncertainty_score":0.06495339},"labels":[],"label_agreement":null},{"id":"W3106636040","doi":"10.5194/essd-13-1855-2021","title":"Overview and update of the SPARC Data Initiative: comparison of stratospheric composition measurements from satellite limb sounders","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":48,"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 Toronto; University of Saskatchewan","funders":"","keywords":"Trace gas; Stratosphere; SCIAMACHY; Troposphere; Environmental science; Atmospheric sciences; Satellite; Aerosol; Ozone layer; Meteorology; Atmospheric chemistry; Microwave Limb Sounder; Ozone; Climatology; Geology; Geography","score_opus":0.19005278052642915,"score_gpt":0.3178345707065139,"score_spread":0.12778179018008473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3106636040","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":[0.057261866,0.005796943,0.009975757,0.001164131,0.000880352,0.0005400617,0.9069589,0.0045311684,0.012890784],"genre_scores_gemma":[0.037063584,0.0016742037,0.026471946,0.00048309672,0.00021554496,0.0003701487,0.9316989,0.00080825936,0.0012143191],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9965926,0.0004370059,0.00053095585,0.0007350133,0.0014228628,0.0002815108],"domain_scores_gemma":[0.9865411,0.001398995,0.001111531,0.002471399,0.0077010286,0.00077608996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0089026075,0.0012999394,0.0010957969,0.0075226617,0.00061702245,0.0028408505,0.0022245455,0.0008541274,0.0025327345],"category_scores_gemma":[0.00887799,0.0006735136,0.0010115679,0.011100228,0.00040569616,0.0028052656,0.002281689,0.001330341,0.002212681],"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":[0.0011137758,0.00037306352,0.31941697,0.0028661964,0.0014330769,0.00026253454,0.00081770093,0.011043256,0.012578299,0.0037036568,0.39009076,0.2563007],"study_design_scores_gemma":[0.00021115252,0.00013055734,0.29916185,0.0010466025,0.00047977702,0.00017570103,0.00048100593,0.00569923,0.010174956,0.0011196365,0.6810822,0.00023736329],"about_ca_topic_score_codex":0.06933363,"about_ca_topic_score_gemma":0.06368853,"teacher_disagreement_score":0.06933363,"about_ca_system_score_codex":0.0016385885,"about_ca_system_score_gemma":0.0037019113,"threshold_uncertainty_score":0.13786012},"labels":[],"label_agreement":null},{"id":"W3108094237","doi":"10.5194/essd-13-1371-2021","title":"The Rocklea Dome 3D Mineral Mapping Test Data Set","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geochemistry and Geologic Mapping","field":"Computer 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":"MineSense Technologies (Canada)","funders":"","keywords":"Geology; Hyperspectral imaging; Mineral exploration; Remote sensing; VNIR; Bedrock; Lithology; Regolith; Mineral; Geochemistry; Mineralogy; Geomorphology; Astrobiology","score_opus":0.07052496652988177,"score_gpt":0.2710512576654899,"score_spread":0.2005262911356081,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108094237","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":[0.19400749,0.00043955166,0.010070395,0.000551969,0.00019904414,0.00048671965,0.77157825,0.006872736,0.01579389],"genre_scores_gemma":[0.14144602,0.00010046687,0.01646586,0.00011281507,0.00002510448,0.00040935414,0.8377224,0.00049391715,0.003224054],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992499,0.00008845579,0.000051553943,0.00016879723,0.0003452964,0.0000959394],"domain_scores_gemma":[0.9988599,0.00017516795,0.00006316393,0.00027691145,0.0004775174,0.00014747174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089454924,0.0009454573,0.0005168422,0.0020063024,0.00065137434,0.0010858662,0.0016017922,0.0011354749,0.0061289356],"category_scores_gemma":[0.0022633194,0.00030716622,0.00082747184,0.0014911381,0.0004878327,0.0008352057,0.0013460296,0.000861251,0.0078272745],"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":[0.0019561534,0.001659053,0.100222334,0.0017131658,0.000701547,0.0024697625,0.00080714154,0.06884242,0.030922852,0.0030709277,0.59036034,0.19727439],"study_design_scores_gemma":[0.00086969574,0.00039914195,0.18496585,0.00039134684,0.00011403617,0.0012738523,0.0016555584,0.120413855,0.036954023,0.0029095367,0.6497655,0.0002876402],"about_ca_topic_score_codex":0.04000351,"about_ca_topic_score_gemma":0.074966475,"teacher_disagreement_score":0.04000351,"about_ca_system_score_codex":0.00045391766,"about_ca_system_score_gemma":0.0011131676,"threshold_uncertainty_score":0.079541326},"labels":[],"label_agreement":null},{"id":"W3109129084","doi":"10.5194/essd-13-1807-2021","title":"A climate index for the Newfoundland and Labrador shelf","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":43,"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; Memorial University of Newfoundland","funders":"Fisheries and Oceans Canada","keywords":"Hydrography; Oceanography; North Atlantic oscillation; Sea surface temperature; Climatology; Environmental science; Index (typography); Temperature salinity diagrams; Salinity; Geology","score_opus":0.02460262342377383,"score_gpt":0.2446304135840581,"score_spread":0.22002779016028426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109129084","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":[0.22082531,0.0025776385,0.003706732,0.0010372073,0.0005515424,0.00027243415,0.698848,0.0008203327,0.07136077],"genre_scores_gemma":[0.31623268,0.0019236701,0.016440924,0.00038017827,0.00014667043,0.0004473846,0.6229008,0.0002691031,0.041258626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964905,0.00002067047,0.000050377796,0.00006009536,0.00013164897,0.000088133434],"domain_scores_gemma":[0.9981206,0.000050534734,0.000412069,0.000082526734,0.0011420846,0.00019212725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058503787,0.0005624855,0.0001948709,0.0041211024,0.00060190615,0.00097254576,0.00041542706,0.00014249231,0.005834775],"category_scores_gemma":[0.0012490323,0.00013386502,0.00036311412,0.00469891,0.00014109093,0.0006248912,0.00067327014,0.00043047397,0.0012407398],"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":[0.00016070461,0.00006800386,0.6234753,0.00021244126,0.00019536637,0.00010799245,0.0003509663,0.002007809,0.0009983408,0.0015479778,0.27191615,0.098958895],"study_design_scores_gemma":[0.000011281524,0.000018150013,0.8626422,0.00005897335,0.000031289936,0.00005209345,0.0002631187,0.0007059259,0.00024680613,0.00006755063,0.13588278,0.000019732508],"about_ca_topic_score_codex":0.8125611,"about_ca_topic_score_gemma":0.89396334,"teacher_disagreement_score":0.1874389,"about_ca_system_score_codex":0.006425061,"about_ca_system_score_gemma":0.0059903753,"threshold_uncertainty_score":0.3770855},"labels":[],"label_agreement":null},{"id":"W3111205597","doi":"10.5194/essd-13-3337-2021","title":"EMDNA: an Ensemble Meteorological Dataset for North America","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":61,"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; Canmore Museum and Geoscience Centre; University of Saskatchewan","funders":"Global Water Futures","keywords":"Probabilistic logic; Precipitation; Environmental science; Range (aeronautics); Ensemble forecasting; Meteorology; Computer science; Climatology; Statistics; Mathematics; Geography; Geology","score_opus":0.08433598375270702,"score_gpt":0.3056725776002202,"score_spread":0.2213365938475132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111205597","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":[0.039115287,0.00034390445,0.0060297363,0.00036086497,0.00016852957,0.00011778104,0.9487669,0.0033165244,0.0017804999],"genre_scores_gemma":[0.046886507,0.00015077349,0.010705594,0.00009065941,0.000054197662,0.0003416804,0.94104177,0.00016207396,0.0005666929],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934655,0.00015251036,0.000080885315,0.00020191375,0.00016579837,0.000052247946],"domain_scores_gemma":[0.9983216,0.0002114408,0.0001899427,0.00040615007,0.0007414131,0.00012940817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008909689,0.00071523886,0.0006505564,0.0012106623,0.0004565378,0.00054738484,0.0015773221,0.00056007755,0.00310183],"category_scores_gemma":[0.0023980653,0.00029908548,0.00079810066,0.00330668,0.00018855135,0.0008743565,0.00097213907,0.0009358271,0.0018946733],"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":[0.00026067448,0.00023118676,0.098228574,0.00067906163,0.0009102444,0.0003439834,0.00039186308,0.053414475,0.0031831942,0.0020523495,0.7815987,0.0587056],"study_design_scores_gemma":[0.00053161755,0.000078743775,0.29800528,0.00028121375,0.000217566,0.00016813497,0.00064506277,0.17905232,0.0043958426,0.0042743897,0.51214206,0.00020775938],"about_ca_topic_score_codex":0.098836385,"about_ca_topic_score_gemma":0.1332228,"teacher_disagreement_score":0.90116364,"about_ca_system_score_codex":0.00087058265,"about_ca_system_score_gemma":0.0018523196,"threshold_uncertainty_score":0.19652218},"labels":[],"label_agreement":null},{"id":"W3114315623","doi":"10.5194/essd-12-3653-2020","title":"An updated version of the global interior ocean biogeochemical data product, GLODAPv2.2020","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":175,"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":"Horizon 2020 Framework Programme; National Oceanic and Atmospheric Administration; Helmholtz Association; Natural Environment Research Council; Sight Research UK","keywords":"Biogeochemical cycle; Context (archaeology); Seawater; Environmental science; Alkalinity; Chemical oceanography; Salinity; Oceanography; Computer science; Meteorology; Chemistry; Environmental chemistry; Geography; Geology","score_opus":0.02478994939803679,"score_gpt":0.23399698320715623,"score_spread":0.20920703380911942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114315623","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":[0.000526963,0.00007817262,0.0008091785,0.00017739796,0.00023114009,0.00004152326,0.9909457,0.0015972434,0.005592623],"genre_scores_gemma":[0.0019192796,0.00009924238,0.0021496878,0.00014580201,0.000032744392,0.0001380414,0.9888981,0.00090297335,0.005714246],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99894243,0.00009467523,0.00016810682,0.00020229748,0.00045357947,0.000138829],"domain_scores_gemma":[0.99571216,0.00042972586,0.00031813743,0.00065574097,0.0026466602,0.00023761517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018989425,0.0013010057,0.0007383624,0.0026847725,0.00039103697,0.002383737,0.0014110093,0.001104089,0.083251715],"category_scores_gemma":[0.006808709,0.0009637773,0.0008587013,0.0058053387,0.0002781996,0.003249395,0.001915076,0.00150989,0.099234395],"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":[0.0001861322,0.000020751728,0.0035725283,0.0006155278,0.00004293048,0.00006040333,0.000044820354,0.00074183795,0.0009533726,0.0010072954,0.96843475,0.02431978],"study_design_scores_gemma":[0.000076471915,0.000018308732,0.008445564,0.000114596885,0.00001585338,0.000044523265,0.00004459363,0.00035127596,0.00069998647,0.0006580577,0.98949665,0.000034111068],"about_ca_topic_score_codex":0.045247998,"about_ca_topic_score_gemma":0.028833408,"teacher_disagreement_score":0.083251715,"about_ca_system_score_codex":0.0011591994,"about_ca_system_score_gemma":0.0036844274,"threshold_uncertainty_score":0.27850473},"labels":[],"label_agreement":null},{"id":"W3118115925","doi":"10.5194/essd-13-2561-2021","title":"CASCADE – The Circum-Arctic Sediment CArbon DatabasE","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","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":"Fisheries and Oceans Canada","funders":"H2020 European Research Council; Norges Forskningsråd; Russian Academy of Sciences; National Research Council Canada; Aard- en Levenswetenschappen, Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Natural Environment Research Council; Government Council on Grants, Russian Federation; Russian Science Foundation; Vetenskapsrådet; Sight Research UK; Statoil; Knut och Alice Wallenbergs Stiftelse","keywords":"Terrigenous sediment; Arctic; Biogeochemical cycle; Oceanography; Sediment; Environmental science; Total organic carbon; Geology; Sedimentary rock; Coring; Database; Earth science; Physical geography; Environmental chemistry; Geochemistry; Chemistry; Paleontology; Drilling; Geography","score_opus":0.07818264720549385,"score_gpt":0.27201716930556763,"score_spread":0.1938345221000738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118115925","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":[0.0023545173,0.0003369037,0.00047431584,0.000036547626,0.000020218462,0.000027760221,0.99447244,0.0007311948,0.0015460658],"genre_scores_gemma":[0.0033469226,0.00020007108,0.0012017265,0.000016059314,0.000008672914,0.000057014815,0.99474984,0.000102472826,0.00031722736],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985196,0.0001500796,0.0003363017,0.00036378836,0.0005054142,0.00012490948],"domain_scores_gemma":[0.99447,0.0004642613,0.0008649824,0.00087203213,0.0027388115,0.000589887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019040166,0.001943112,0.0012236527,0.0126346955,0.00074022624,0.0026553823,0.0018486001,0.00073436537,0.01077263],"category_scores_gemma":[0.0048124306,0.00058529834,0.00068610534,0.020651475,0.00025607992,0.0013250728,0.0018437937,0.0006928005,0.014175064],"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":[0.00084116374,0.000103498896,0.04941432,0.004400975,0.00071375567,0.00045801935,0.00029196922,0.004923329,0.0032989082,0.0066918368,0.85490054,0.07396167],"study_design_scores_gemma":[0.00017728478,0.00004340426,0.06395131,0.00057237234,0.00016809977,0.00017395164,0.00012758253,0.0031758945,0.0018673218,0.0016162134,0.92803514,0.00009135147],"about_ca_topic_score_codex":0.07359983,"about_ca_topic_score_gemma":0.06454549,"teacher_disagreement_score":0.07359983,"about_ca_system_score_codex":0.0014188241,"about_ca_system_score_gemma":0.0059889047,"threshold_uncertainty_score":0.14634281},"labels":[],"label_agreement":null},{"id":"W3120396051","doi":"10.5194/essd-13-2777-2021","title":"Coastal Ocean Data Analysis Product in North America (CODAP-NA) – an internally consistent data product for discrete inorganic carbon, oxygen, and nutrients on the North American ocean margins","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":52,"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":"NOAA Pacific Marine Environmental Laboratory; NOAA's Atlantic Oceanographic and Meteorological Laboratory; NOAA Research; Bjerknessenteret for klimaforskning, Universitetet i Bergen; Cooperative Institute for Marine and Atmospheric Studies, University of Miami; National Oceanic and Atmospheric Administration; Universitetet i Bergen; Northeast Fisheries Science Center; University of Miami; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; University of South Florida; Ocean Acidification Program; Princeton University","keywords":"Cruise; Environmental science; Oceanography; Product (mathematics); Continental shelf; Data quality; Ocean chemistry; Meteorology; Geography; Geology; Service (business); Seawater; Business","score_opus":0.04242710442306767,"score_gpt":0.2633032418120184,"score_spread":0.22087613738895073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120396051","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":[0.015663354,0.00016401416,0.0120295985,0.00044985503,0.00018018138,0.00045268962,0.95464385,0.006064969,0.010351468],"genre_scores_gemma":[0.025474276,0.00019887414,0.04293579,0.00028595305,0.00004192918,0.0015491475,0.9249365,0.0019658636,0.0026116609],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9964187,0.00042690325,0.0007802149,0.0006714619,0.0015555349,0.00014713041],"domain_scores_gemma":[0.96857196,0.0033289944,0.0042553116,0.004388533,0.018100327,0.0013549201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005590516,0.0010531252,0.00079444493,0.004710019,0.0010470953,0.0020611442,0.0018196632,0.0006294175,0.0075503564],"category_scores_gemma":[0.014921937,0.00096551026,0.0007243303,0.009794447,0.0005491289,0.0021344796,0.0026666499,0.0020122516,0.0057289507],"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":[0.00058367336,0.00023535185,0.20201367,0.0014942534,0.00049255404,0.00036202965,0.0011762179,0.0055237142,0.0100356955,0.00424694,0.666033,0.10780302],"study_design_scores_gemma":[0.00017438826,0.00008161395,0.20349364,0.00046030927,0.00010830647,0.000087673536,0.00070132676,0.0054916344,0.005789951,0.0014841864,0.7819727,0.00015432374],"about_ca_topic_score_codex":0.104204915,"about_ca_topic_score_gemma":0.09644679,"teacher_disagreement_score":0.8957951,"about_ca_system_score_codex":0.0018323455,"about_ca_system_score_gemma":0.008468827,"threshold_uncertainty_score":0.20719677},"labels":[],"label_agreement":null},{"id":"W3125357239","doi":"10.5194/essd-13-3607-2021","title":"FLUXNET-CH <sub>4</sub> : a global, multi-ecosystem dataset and analysis of methane seasonality from freshwater wetlands","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":196,"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; Dalhousie University; University of British Columbia","funders":"Biological and Environmental Research; Natural Environment Research Council; Japan Society for the Promotion of Science; Horizon 2020 Framework Programme; California Department of Fish and Wildlife; Office of Science; National Research Foundation; Sight Research UK; National Research Foundation of Korea; National Institute of Food and Agriculture; Canada Research Chairs; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; U.S. Geological Survey; Department of Water Resources; U.S. Department of Energy; Gordon and Betty Moore Foundation; U.S. Department of Agriculture; National Aeronautics and Space Administration; National Science Foundation","keywords":"FluxNet; Environmental science; Wetland; Eddy covariance; Seasonality; Atmospheric sciences; Ecosystem; Biome; Climatology; Ecology; Biology","score_opus":0.020217348725927703,"score_gpt":0.24811949948742298,"score_spread":0.22790215076149528,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125357239","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":[0.02692075,0.00019476582,0.00076884375,0.00011583675,0.000038444643,0.000034153156,0.9695264,0.0012882128,0.0011126576],"genre_scores_gemma":[0.018297054,0.000070024085,0.0016891464,0.00004499167,0.000013587273,0.000080366655,0.9794265,0.000103074606,0.0002752499],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99953544,0.00006882375,0.000050148137,0.00014474535,0.0001176031,0.000083286825],"domain_scores_gemma":[0.9993793,0.00009379912,0.00010969649,0.00012522057,0.00019892622,0.00009297326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006025701,0.0012143453,0.0005410152,0.0022332976,0.0004339814,0.00061659596,0.0010921041,0.0010314347,0.0030827206],"category_scores_gemma":[0.0016148392,0.0002856745,0.0007109041,0.0030249474,0.00029787296,0.00084145647,0.0010050117,0.00053136,0.0027998977],"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":[0.00060217315,0.00026037457,0.100326136,0.0021984752,0.0004501783,0.00046729963,0.00029876328,0.016615694,0.008842353,0.0028674097,0.83804595,0.029025113],"study_design_scores_gemma":[0.00056125433,0.00016186167,0.43124822,0.00043630754,0.00018225466,0.000430407,0.00063632056,0.037454065,0.008382171,0.002979428,0.5172888,0.000238807],"about_ca_topic_score_codex":0.047943354,"about_ca_topic_score_gemma":0.062125716,"teacher_disagreement_score":0.047943354,"about_ca_system_score_codex":0.0008181175,"about_ca_system_score_gemma":0.0011131989,"threshold_uncertainty_score":0.09532857},"labels":[],"label_agreement":null},{"id":"W3128110793","doi":"10.5194/essd-13-237-2021","title":"Country-level and gridded estimates of wastewater production, collection, treatment and reuse","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":727,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health","funders":"Global Affairs Canada; Government of Canada","keywords":"Wastewater; Reuse; Environmental science; Production (economics); Population; Per capita; Sewage treatment; Sustainability; Water resource management; Environmental engineering; Engineering; Economics; Waste management; Environmental health","score_opus":0.042317125395611825,"score_gpt":0.24131726195931721,"score_spread":0.19900013656370538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128110793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.67033577,0.0018498,0.04454067,0.00074341154,0.000096248696,0.00008242281,0.2687008,0.00094177807,0.01270915],"genre_scores_gemma":[0.8574283,0.001396928,0.02722571,0.00012679075,0.000016305074,0.00014583967,0.11152437,0.000111968766,0.002023732],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995266,0.00013884834,0.00006143228,0.00012577958,0.0000997734,0.000047563994],"domain_scores_gemma":[0.9987092,0.00027072954,0.00031666947,0.00026949283,0.00039996524,0.000033992066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000758463,0.0003580229,0.00034495347,0.0012436623,0.00011397502,0.0005769281,0.0003896137,0.00033434236,0.002073133],"category_scores_gemma":[0.0020619477,0.0002776863,0.0014087377,0.0040617594,0.00019428316,0.0005718561,0.0007139304,0.00037678605,0.00089492847],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017762162,0.00011510556,0.49702522,0.00143795,0.0019093603,0.0003306985,0.00025168463,0.40352967,0.003983859,0.0062821475,0.021349566,0.06360717],"study_design_scores_gemma":[0.00006285454,0.00012756766,0.75185305,0.00036880796,0.00042937984,0.00031035283,0.0008757131,0.14766994,0.00800801,0.004198663,0.08596987,0.00012571154],"about_ca_topic_score_codex":0.03272353,"about_ca_topic_score_gemma":0.017899515,"teacher_disagreement_score":0.03272353,"about_ca_system_score_codex":0.00055549684,"about_ca_system_score_gemma":0.0007207436,"threshold_uncertainty_score":0.06506616},"labels":[],"label_agreement":null},{"id":"W3134808386","doi":"10.5194/essd-13-983-2021","title":"Ten-year return levels of sub-daily extreme precipitation over Europe","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":49,"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":"Precipitation; Environmental science; Return period; Climatology; Climate model; Meteorology; Climate change; Quantitative precipitation estimation; Geography; Geology","score_opus":0.08195920122765607,"score_gpt":0.2703825018687253,"score_spread":0.18842330064106924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134808386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99359083,0.00009201804,0.002000569,0.000017977083,0.0000063524303,0.000007403979,0.00370916,0.00008942933,0.00048621124],"genre_scores_gemma":[0.9884121,0.000058787362,0.0014446982,0.000008936496,0.0000041121148,0.00001184641,0.009895536,0.000020200892,0.00014379909],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996264,0.000051849835,0.000025620453,0.00013382907,0.00009815236,0.00006411485],"domain_scores_gemma":[0.999305,0.00012477726,0.000121317615,0.00012992328,0.00025389777,0.00006519764],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011496816,0.00037807252,0.00042154096,0.00086753,0.00018292668,0.0005397713,0.00048342888,0.00041988582,0.0004398054],"category_scores_gemma":[0.0013827091,0.00015318011,0.000555374,0.0013757441,0.00018353223,0.0004178942,0.00047848286,0.00024815058,0.00012588273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004112576,0.00011329102,0.7460901,0.00008902802,0.00074123795,0.00028680867,0.00021025246,0.22341852,0.0041465773,0.00065893435,0.0022956566,0.021538302],"study_design_scores_gemma":[0.000020887737,0.00006306895,0.8996159,0.000019188532,0.000069053065,0.00007626737,0.00011618645,0.09514566,0.0020925372,0.00018172927,0.0025603862,0.00003911412],"about_ca_topic_score_codex":0.037847243,"about_ca_topic_score_gemma":0.029322503,"teacher_disagreement_score":0.037847243,"about_ca_system_score_codex":0.00054053013,"about_ca_system_score_gemma":0.00034810693,"threshold_uncertainty_score":0.075253904},"labels":[],"label_agreement":null},{"id":"W3135675237","doi":"10.5194/essd-13-2555-2021","title":"Radionuclide contamination in flood sediment deposits in the coastal rivers draining the main radioactive pollution plume of Fukushima Prefecture, Japan (2011–2020)","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Radioactive contamination and transfer","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":"Alberta Environment and Protected Areas","funders":"Japan Society for the Promotion of Science; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Radionuclide; Environmental science; Sediment; Plume; Pollution; Radioactive waste; Hydrology (agriculture); Radioactive contamination; Nuclear power plant; Flood myth; Oceanography; Geology; Physical geography; Geography; Archaeology; Meteorology; Geomorphology","score_opus":0.01559164464189705,"score_gpt":0.23415415748586013,"score_spread":0.21856251284396308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3135675237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932238,0.000121160076,0.000060291713,0.000017088158,0.000002845154,0.000004081859,0.006256407,0.000015051396,0.00029932946],"genre_scores_gemma":[0.9840046,0.00019667807,0.0003113952,0.000019625173,0.0000043327336,0.000021102218,0.014976207,0.0000062674276,0.00045978016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998883,0.000010752075,0.000019712861,0.00003852343,0.000021935508,0.000020808664],"domain_scores_gemma":[0.9996319,0.00002778247,0.0001509357,0.000028926612,0.000114385475,0.000046025765],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026516052,0.0003493743,0.00020723992,0.0013592079,0.0003675272,0.00043839688,0.0002422199,0.00030201708,0.0005244771],"category_scores_gemma":[0.00032182015,0.00023223557,0.00033520884,0.0020221572,0.00024124362,0.00027031856,0.00055921817,0.000156797,0.00017130002],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012968235,0.000028441204,0.9892539,0.00009936067,0.00010577423,0.00026124655,0.0003845382,0.00063039816,0.0032196576,0.00002428023,0.00087594683,0.0049867746],"study_design_scores_gemma":[0.000003427396,0.000009527585,0.99868673,0.0000056435983,0.00002747145,0.00003622343,0.00022716205,0.00021024329,0.00027581325,0.0000054161496,0.000509015,0.0000033393303],"about_ca_topic_score_codex":0.078301065,"about_ca_topic_score_gemma":0.12878464,"teacher_disagreement_score":0.078301065,"about_ca_system_score_codex":0.0006659952,"about_ca_system_score_gemma":0.0005195596,"threshold_uncertainty_score":0.15569061},"labels":[],"label_agreement":null},{"id":"W3156138814","doi":"10.5194/essd-13-4331-2021","title":"Meteorological, snow and soil data (2013–2019) from a herb tundra permafrost site at Bylot Island, Canadian high Arctic, for driving and testing snow and land surface models","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":true,"ca_institutions":"Takuvik Joint International Laboratory; Université Laval; Makivik Corporation","funders":"Horizon 2020; Institut Polaire Français Paul Emile Victor; Fondation BNP Paribas; Natural Sciences and Engineering Research Council of Canada; European Commission; Compute Canada; BNP Paribas Cardif; University of Warwick","keywords":"Snow; Tundra; Permafrost; Arctic; Environmental science; Shortwave radiation; Snowmelt; Cryosphere; Climatology; Shortwave; Atmospheric sciences; Snow field; Geology; Sea ice; Meteorology; Radiative transfer; Geography; Snow cover; Radiation; Oceanography","score_opus":0.09457380912833227,"score_gpt":0.2526655181698045,"score_spread":0.1580917090414722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156138814","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5232955,0.0005222612,0.00068383926,0.000211507,0.00009368271,0.00018978269,0.4642481,0.00029986963,0.010455481],"genre_scores_gemma":[0.50999194,0.0004629746,0.0029318798,0.00012059073,0.000032146534,0.00016879568,0.4785254,0.00007237504,0.007693839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997124,0.000011195396,0.000014399335,0.00004620751,0.00013856444,0.00007715252],"domain_scores_gemma":[0.99893624,0.00002743825,0.00008229352,0.00005789619,0.00070946827,0.0001866009],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032242236,0.0005083714,0.00029300665,0.0013831892,0.0013243449,0.0006121189,0.00069832953,0.00028814565,0.0033128194],"category_scores_gemma":[0.00046441352,0.0001483027,0.00033619988,0.003076728,0.00026676944,0.00020274054,0.0003123218,0.0003485147,0.00093515095],"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":[0.00060551637,0.0005080771,0.76128364,0.0006857514,0.00041667125,0.0010606452,0.0012468466,0.012625991,0.00741188,0.0008907605,0.17072217,0.04254207],"study_design_scores_gemma":[0.000048768456,0.00003184359,0.94330746,0.00006355318,0.00004375238,0.00007218779,0.0007463093,0.0048781713,0.0011125995,0.000042488842,0.04961783,0.00003493617],"about_ca_topic_score_codex":0.98239464,"about_ca_topic_score_gemma":0.99340147,"teacher_disagreement_score":0.017605364,"about_ca_system_score_codex":0.006742447,"about_ca_system_score_gemma":0.015496445,"threshold_uncertainty_score":0.048920095},"labels":[],"label_agreement":null},{"id":"W3158747095","doi":"10.5194/essd-13-5127-2021","title":"The Boreal–Arctic Wetland and Lake Dataset (BAWLD)","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":125,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ducks Unlimited Canada; University of Toronto; Dalhousie University; University of Waterloo; Université de Montréal; University of Alberta","funders":"Norges Forskningsråd; Vetenskapsrådet; Bundesministerium für Bildung und Forschung; National Aeronautics and Space Administration; National Science Foundation","keywords":"Permafrost; Wetland; Tundra; Environmental science; Peat; Boreal; Taiga; Thermokarst; Hydrology (agriculture); Arctic; Biome; Bog; Land cover; Physical geography; Ecosystem; Ecology; Geology; Land use; Oceanography; Geography","score_opus":0.06211837631924387,"score_gpt":0.26997369767160273,"score_spread":0.20785532135235885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158747095","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":[0.010218659,0.00015404713,0.00035792548,0.000062345396,0.000033395285,0.00003185856,0.9878876,0.0004776132,0.0007765495],"genre_scores_gemma":[0.007134156,0.000035161735,0.00077947514,0.000021459324,0.0000069585417,0.00005929128,0.9917007,0.000025930642,0.00023693204],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99956816,0.000071342554,0.000048363057,0.00013848541,0.000107292,0.00006641334],"domain_scores_gemma":[0.9993445,0.000080956226,0.00011523991,0.00011409942,0.0002477362,0.00009739349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000608518,0.0009993855,0.0007493993,0.00156573,0.0004764941,0.0008369201,0.0011865111,0.00069996563,0.004629786],"category_scores_gemma":[0.0012196387,0.00029042736,0.0010109348,0.0021314714,0.0002337486,0.00047226972,0.0009279979,0.00074140873,0.004764328],"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":[0.00048054074,0.00021506856,0.090380706,0.0015606201,0.00080783694,0.0003091189,0.00025607363,0.0058849803,0.0033954685,0.0012635894,0.87773013,0.017715937],"study_design_scores_gemma":[0.00076544867,0.00012592819,0.2692036,0.000423867,0.0002543989,0.00028946914,0.00059507904,0.019004727,0.002690632,0.0010201229,0.70551467,0.00011195767],"about_ca_topic_score_codex":0.054832783,"about_ca_topic_score_gemma":0.09102612,"teacher_disagreement_score":0.054832783,"about_ca_system_score_codex":0.0006300783,"about_ca_system_score_gemma":0.0010792922,"threshold_uncertainty_score":0.10902727},"labels":[],"label_agreement":null},{"id":"W3158814657","doi":"10.5194/essd-13-5353-2021","title":"Refined burned-area mapping protocol using Sentinel-2 data increases estimate of 2019 Indonesian burning","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","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":"Vancouver Island University","funders":"","keywords":"Peat; Indonesian; Environmental science; Christian ministry; Distribution (mathematics); Physical geography; Meteorology; Geography; Mathematics; Archaeology","score_opus":0.061338209677955356,"score_gpt":0.31443484855496306,"score_spread":0.25309663887700773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3158814657","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":[0.8675916,0.00069840864,0.041385118,0.0006645007,0.00036904876,0.00033773753,0.064146645,0.0012891034,0.023517916],"genre_scores_gemma":[0.9068133,0.00029017852,0.03860226,0.00023109427,0.00004769955,0.00038741884,0.05041534,0.00015930465,0.003053355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99943906,0.000119489014,0.00009242998,0.00013950988,0.00014146893,0.00006805164],"domain_scores_gemma":[0.9987791,0.0001551201,0.00028351773,0.00020676419,0.0004964279,0.00007909096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013858237,0.0003261577,0.00023370223,0.0008328291,0.00024925676,0.00063065113,0.00044302817,0.00025362143,0.0020448354],"category_scores_gemma":[0.0019431195,0.00018203705,0.00034722066,0.0008691649,0.00013883153,0.0007521989,0.00063490646,0.0005120646,0.0010474254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00050334004,0.00022345691,0.8043345,0.00048397106,0.0002784023,0.00034942623,0.0006845121,0.014603432,0.014556553,0.0016130302,0.027273,0.13509634],"study_design_scores_gemma":[0.000028428247,0.000113091555,0.8628912,0.00024148158,0.00015191828,0.0003067719,0.0010642421,0.07978311,0.01229795,0.0011727727,0.04186481,0.00008424859],"about_ca_topic_score_codex":0.015367442,"about_ca_topic_score_gemma":0.021634104,"teacher_disagreement_score":0.015367442,"about_ca_system_score_codex":0.00047844023,"about_ca_system_score_gemma":0.0006959222,"threshold_uncertainty_score":0.030556023},"labels":[],"label_agreement":null},{"id":"W3160983365","doi":"10.5194/essd-13-2077-2021","title":"Last interglacial sea-level history from speleothems: a global standardized database","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","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":"Directorate for Geosciences; McMaster University","keywords":"Speleothem; Cave; Interglacial; Geology; Phreatic; Sea level; Marine isotope stage; Vadose zone; Oceanography; Paleontology; Ooid; Quaternary; Aquifer; Archaeology; Sedimentary depositional environment; Structural basin; Groundwater; Geography","score_opus":0.08488245910873693,"score_gpt":0.288575979794337,"score_spread":0.2036935206856001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160983365","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":[0.026472073,0.0005292616,0.0022325267,0.000035659752,0.000020528707,0.000069260874,0.96706134,0.0010744093,0.0025048996],"genre_scores_gemma":[0.024838755,0.0004580126,0.006771315,0.000023780354,0.000014307448,0.00018545814,0.967029,0.00014515272,0.0005342748],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992636,0.000044418903,0.00030075677,0.00018694512,0.00013392896,0.00007039727],"domain_scores_gemma":[0.9966356,0.000391753,0.001095837,0.0005591362,0.00095812365,0.00035953184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095154054,0.0007779752,0.0006280515,0.013954346,0.00030216514,0.0012971702,0.00064554065,0.00038010784,0.0061471425],"category_scores_gemma":[0.0026609683,0.0002750792,0.00053829845,0.018436795,0.00018396096,0.0010433756,0.0010882122,0.00043661922,0.004350471],"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":[0.00069804885,0.00014398962,0.5089852,0.006935598,0.00092227943,0.0010957349,0.0019312174,0.0037490504,0.016697554,0.0055878535,0.20566198,0.24759148],"study_design_scores_gemma":[0.00004783202,0.000067190085,0.60105455,0.00046600442,0.00019298398,0.0004877752,0.0005434089,0.0010212251,0.0033345392,0.0006622791,0.39206585,0.000056433528],"about_ca_topic_score_codex":0.013303418,"about_ca_topic_score_gemma":0.015876481,"teacher_disagreement_score":0.013954346,"about_ca_system_score_codex":0.0006097436,"about_ca_system_score_gemma":0.0025137903,"threshold_uncertainty_score":0.026452005},"labels":[],"label_agreement":null},{"id":"W3162013729","doi":"10.5194/essd-13-4603-2021","title":"Canadian historical Snow Water Equivalent dataset (CanSWE, 1928–2020)","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canmore Museum and Geoscience Centre; University of Saskatchewan; Environment and Climate Change Canada","funders":"","keywords":"Snow; Water equivalent; Environmental science; Hydropower; Hydrology (agriculture); Physical geography; Meteorology; Database; Geography; Geology; Computer science","score_opus":0.052274868602156604,"score_gpt":0.24328677280122363,"score_spread":0.19101190419906702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162013729","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":[0.00063728093,0.00009073383,0.00006780333,0.00006370542,0.000017935212,0.000011753599,0.9979011,0.00008301815,0.0011267024],"genre_scores_gemma":[0.0029799188,0.00010316637,0.0003876005,0.000039740356,0.0000062577,0.000032975524,0.9954644,0.000021353128,0.0009646847],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9993303,0.000039888986,0.00005546145,0.00013581052,0.00029070475,0.00014779919],"domain_scores_gemma":[0.9960653,0.000118940945,0.0001489876,0.00022699965,0.0032266248,0.00021309721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056972593,0.0010348842,0.0006890134,0.003574184,0.0012006887,0.0013727269,0.0018439483,0.0005814321,0.012631602],"category_scores_gemma":[0.003073762,0.00031256367,0.0007311197,0.010093708,0.00033727902,0.00069719704,0.0009410223,0.00085606705,0.007803703],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006434131,0.00001623228,0.009194625,0.0003623445,0.00008296399,0.000052317748,0.000057983358,0.0008286633,0.0001530141,0.0009483102,0.9819089,0.0063302573],"study_design_scores_gemma":[0.00009745175,0.00000947685,0.0793676,0.00034955438,0.000061873194,0.000059268114,0.00034139818,0.0025631483,0.00059219956,0.000583154,0.9159043,0.00007063344],"about_ca_topic_score_codex":0.97505003,"about_ca_topic_score_gemma":0.9856112,"teacher_disagreement_score":0.024949968,"about_ca_system_score_codex":0.0100514665,"about_ca_system_score_gemma":0.019928835,"threshold_uncertainty_score":0.072928905},"labels":[],"label_agreement":null},{"id":"W3165084586","doi":"10.5194/essd-13-5151-2021","title":"BAWLD-CH <sub>4</sub> : a comprehensive dataset of methane fluxes from boreal and arctic ecosystems","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":124,"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; European Commission; W. Garfield Weston Foundation; Svenska Forskningsrådet Formas; National Aeronautics and Space Administration","keywords":"Environmental science; Wetland; Boreal; Permafrost; Land cover; Vegetation (pathology); Arctic; Ecosystem; Flux (metallurgy); Latitude; Hydrology (agriculture); Atmospheric sciences; Land use; Physical geography; Oceanography; Ecology; Geology; Geography","score_opus":0.018220386104838053,"score_gpt":0.22851576752985417,"score_spread":0.2102953814250161,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3165084586","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":[0.07460651,0.00046774984,0.0009282346,0.00006780758,0.000044055705,0.000041542105,0.9218104,0.0005297654,0.0015039057],"genre_scores_gemma":[0.039316658,0.00012379194,0.0024675038,0.000036643673,0.000015351792,0.00009148054,0.95751566,0.00008759564,0.0003454485],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99947613,0.00008155766,0.00005489833,0.00014856769,0.0001469559,0.0000919609],"domain_scores_gemma":[0.9992494,0.00008159555,0.00016356107,0.00011703549,0.0002467104,0.00014167346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062886224,0.0009173161,0.0006211468,0.0021241657,0.0004927525,0.00078132807,0.0007541821,0.0006266718,0.0023629945],"category_scores_gemma":[0.00097383274,0.00033572022,0.00091653765,0.0034746279,0.00024560682,0.0004402024,0.0011294617,0.0005964573,0.0016205882],"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":[0.0016609072,0.00056554214,0.44681984,0.0047504967,0.0022765065,0.0010530099,0.0011072472,0.017597701,0.038111813,0.0026993942,0.43205142,0.051306196],"study_design_scores_gemma":[0.0003120521,0.00012539707,0.7233298,0.000265211,0.00026941148,0.00022140917,0.00051477994,0.0060800076,0.004384531,0.000493455,0.26389176,0.000112207585],"about_ca_topic_score_codex":0.070206255,"about_ca_topic_score_gemma":0.09473725,"teacher_disagreement_score":0.070206255,"about_ca_system_score_codex":0.0006094083,"about_ca_system_score_gemma":0.0016156859,"threshold_uncertainty_score":0.13959521},"labels":[],"label_agreement":null},{"id":"W3169072044","doi":"10.5194/essd-13-2857-2021","title":"The RapeseedMap10 database: annual maps of rapeseed at a spatial resolution of 10 m based on multi-source data","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":68,"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","keywords":"Rapeseed; Ground truth; Sowing; Environmental science; Database; Scale (ratio); Agricultural engineering; Statistics; Geography; Computer science; Mathematics; Cartography; Agronomy; Engineering; Artificial intelligence","score_opus":0.03113246907363884,"score_gpt":0.2546204673490547,"score_spread":0.22348799827541585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169072044","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":[0.020025762,0.00062280137,0.014935348,0.000084717496,0.000064423126,0.0000887626,0.9447984,0.014478854,0.0049008806],"genre_scores_gemma":[0.028680833,0.00032151226,0.02821245,0.00003444006,0.000012002074,0.00016923693,0.9400574,0.0014008342,0.0011112543],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995371,0.000062873456,0.000050748837,0.0001581344,0.0001445187,0.000046560333],"domain_scores_gemma":[0.99891484,0.00019560187,0.00016057196,0.00029109095,0.00037157795,0.00006639436],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008271896,0.0011976702,0.000561012,0.003784012,0.00028411136,0.00079426286,0.0011732595,0.00065415277,0.009482627],"category_scores_gemma":[0.0025107504,0.0004861298,0.0009654886,0.00417852,0.00020556046,0.0011535957,0.001178685,0.0005786852,0.008900883],"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":[0.00096448354,0.00028208212,0.05090093,0.004176716,0.0012244452,0.00067918806,0.0008469497,0.024516832,0.028809635,0.0044642244,0.7275977,0.15553682],"study_design_scores_gemma":[0.00033567986,0.00009894745,0.10952966,0.00063392986,0.00030160655,0.00048160748,0.00068001146,0.028045414,0.024365248,0.0031961668,0.8320587,0.00027292586],"about_ca_topic_score_codex":0.017238544,"about_ca_topic_score_gemma":0.021234103,"teacher_disagreement_score":0.017238544,"about_ca_system_score_codex":0.00048277032,"about_ca_system_score_gemma":0.00091416715,"threshold_uncertainty_score":0.034276426},"labels":[],"label_agreement":null},{"id":"W3186370722","doi":"10.5194/essd-13-5455-2021","title":"A high-accuracy rainfall dataset by merging multiple satellites and dense gauges over the southern Tibetan Plateau for 2014–2019 warm seasons","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Precipitation Measurement and Analysis","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":"University of Saskatchewan","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Plateau (mathematics); Environmental science; Climatology; Satellite; Flood myth; Streamflow; Meteorology; Drainage basin; Geology; Geography; Cartography","score_opus":0.031380054585465236,"score_gpt":0.25401514136062875,"score_spread":0.22263508677516353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186370722","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":[0.31210402,0.00079372653,0.0069297007,0.0005239357,0.00033855584,0.00020174438,0.6721598,0.0027919717,0.0041565816],"genre_scores_gemma":[0.19420134,0.00019975519,0.0076809656,0.00008196639,0.00010456872,0.00016769259,0.796459,0.00010234676,0.0010023748],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996232,0.00005465277,0.00005502246,0.000110071735,0.000103499515,0.000053431464],"domain_scores_gemma":[0.9993749,0.000038572303,0.00008884707,0.00011951748,0.00030161557,0.00007647477],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006467865,0.0007529692,0.00045068018,0.001961306,0.00038470334,0.0005606512,0.00086024794,0.00054145785,0.0024506499],"category_scores_gemma":[0.0009649851,0.00021577034,0.00060451345,0.0035478082,0.00022147573,0.0006133427,0.00079077727,0.00059578,0.0013091],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013650596,0.0011221389,0.3735815,0.001909662,0.0017815019,0.0015944673,0.0007613008,0.09054736,0.023927785,0.0026960603,0.30679983,0.19391344],"study_design_scores_gemma":[0.0007676337,0.00020746913,0.723606,0.00030159016,0.0003059786,0.00030829993,0.00075341866,0.117706,0.008054674,0.0013687598,0.14641076,0.00020953371],"about_ca_topic_score_codex":0.048071932,"about_ca_topic_score_gemma":0.061131142,"teacher_disagreement_score":0.048071932,"about_ca_system_score_codex":0.0005746322,"about_ca_system_score_gemma":0.0013463259,"threshold_uncertainty_score":0.095584214},"labels":[],"label_agreement":null},{"id":"W3190620470","doi":"10.5194/essd-13-5115-2021","title":"The OH (3-1) nightglow volume emission rate retrieved from OSIRIS measurements: 2001 to 2015","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","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":"Swedish National Space Agency","keywords":"Airglow; Thermosphere; Zenith; Environmental science; Atmospheric sciences; Volume (thermodynamics); Mesosphere; Oscillation (cell signaling); Satellite; Meteorology; Data set; SCIAMACHY; Physics; Stratosphere; Ionosphere; Chemistry; Mathematics; Geophysics; Optics; Astronomy; Troposphere; Statistics","score_opus":0.033812600744602406,"score_gpt":0.27373695263104686,"score_spread":0.23992435188644445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190620470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85783595,0.00082519726,0.0031794156,0.00012866789,0.00009171744,0.000052127863,0.13235262,0.0007702203,0.004764053],"genre_scores_gemma":[0.86204845,0.0005337325,0.006064547,0.00007842454,0.000037134658,0.000061128725,0.12995629,0.00008868538,0.001131606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982136,0.00001480158,0.000025153951,0.000054185013,0.00006203391,0.000022546114],"domain_scores_gemma":[0.9997008,0.000021620845,0.000080265556,0.000035880483,0.00014163031,0.000019789042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005101891,0.00039627854,0.00018980227,0.00088722486,0.00017952918,0.00036413138,0.00031120304,0.00023490032,0.0006902438],"category_scores_gemma":[0.00057857874,0.00015846071,0.00033408904,0.0012345073,0.000116532,0.00052427663,0.00025226464,0.0002797129,0.0004154021],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005927862,0.00024040067,0.8169291,0.0009184353,0.00046261944,0.0001806455,0.0005745174,0.022111837,0.027968107,0.0011688537,0.04124467,0.08760809],"study_design_scores_gemma":[0.000030627132,0.000027296504,0.95359635,0.000057915255,0.00008552653,0.000051907722,0.00017894257,0.018325677,0.009252695,0.0001681199,0.018185558,0.0000393471],"about_ca_topic_score_codex":0.030130552,"about_ca_topic_score_gemma":0.03377476,"teacher_disagreement_score":0.030130552,"about_ca_system_score_codex":0.00044936256,"about_ca_system_score_gemma":0.00040370008,"threshold_uncertainty_score":0.059910357},"labels":[],"label_agreement":null},{"id":"W3202218627","doi":"10.5194/essd-13-4567-2021","title":"The cooperative IGS RT-GIMs: a reliable estimation of the global ionospheric electron content distribution in real time","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","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":"Geological Survey of Canada; Natural Resources Canada","funders":"Narodowe Centrum Badań i Rozwoju; China Scholarship Council","keywords":"GNSS applications; Total electron content; Global Positioning System; Satellite; Ionosphere; Environmental science; TEC; Remote sensing; Computer science; Geodesy; Geology; Meteorology; Geography; Geophysics; Telecommunications; Physics","score_opus":0.012655038488245736,"score_gpt":0.24626848637113374,"score_spread":0.23361344788288801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3202218627","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7124286,0.0010078525,0.2321079,0.00019277973,0.0001868177,0.00018133606,0.021898512,0.0204439,0.011552295],"genre_scores_gemma":[0.8622946,0.0002205136,0.11659566,0.00005840633,0.00007275402,0.00012410268,0.016182452,0.00076309167,0.003688429],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99986863,0.00002033015,0.000005004403,0.000034942546,0.00005705941,0.000013919241],"domain_scores_gemma":[0.99979156,0.000014846576,0.000035774465,0.00006064527,0.000081568774,0.000015728063],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034535362,0.0006481465,0.00031754724,0.0014033607,0.00014142536,0.00040925658,0.0005469014,0.00034331964,0.0017701674],"category_scores_gemma":[0.0005676351,0.00016604734,0.00032579686,0.001570748,0.00011280265,0.0006379453,0.0006195362,0.00022019552,0.00096110394],"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":[0.0018182027,0.00019071808,0.18235865,0.00047770183,0.00059328985,0.0004941871,0.00044724243,0.09518369,0.14935671,0.0018474297,0.037763894,0.52946824],"study_design_scores_gemma":[0.0002233587,0.00027246922,0.3064603,0.00006137136,0.00022857507,0.00044892175,0.0002434905,0.5943843,0.061832625,0.0014942639,0.03423284,0.00011748264],"about_ca_topic_score_codex":0.00484764,"about_ca_topic_score_gemma":0.0069179204,"teacher_disagreement_score":0.00484764,"about_ca_system_score_codex":0.00024124568,"about_ca_system_score_gemma":0.00030578882,"threshold_uncertainty_score":0.009638846},"labels":[],"label_agreement":null},{"id":"W4205343929","doi":"10.5194/essd-13-5483-2021","title":"GRQA: Global River Water Quality Archive","year":2021,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","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":"Eesti Teadusagentuur; H2020 Marie Skłodowska-Curie Actions; Sihtasutus Archimedes","keywords":"Metadata; Flagging; Computer science; Scale (ratio); Data quality; Download; Outlier; Quality (philosophy); Water quality; Database; Environmental science; Data mining; Cartography; Geography; World Wide Web; Metric (unit)","score_opus":0.03565312893034344,"score_gpt":0.2832623817179583,"score_spread":0.24760925278761486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205343929","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":[0.00023012239,0.00006660053,0.0015587002,0.0001778092,0.000047636444,0.000051044877,0.99244654,0.0029689774,0.002452583],"genre_scores_gemma":[0.0025185489,0.00018845095,0.004158881,0.00016772529,0.000023212944,0.00026816077,0.99012786,0.0011124403,0.0014347597],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99759763,0.00040532948,0.00047654615,0.0005054691,0.00080297806,0.00021211826],"domain_scores_gemma":[0.9919029,0.0010649944,0.00074928603,0.0018018142,0.004166803,0.00031421095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003936548,0.0009969111,0.0014544182,0.004192034,0.0005773244,0.0029468336,0.0035274273,0.00095636,0.0672835],"category_scores_gemma":[0.01049572,0.0006511649,0.0009215705,0.014100562,0.00047429762,0.0029881103,0.0030310294,0.0017549595,0.052178822],"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":[0.00005940739,0.000015510637,0.0018575304,0.00079409685,0.000057188874,0.000024611998,0.00007201228,0.0008505557,0.00030753747,0.0022607436,0.97824425,0.015456422],"study_design_scores_gemma":[0.00012228274,0.000009788997,0.006900626,0.00034491825,0.000029135634,0.00002418324,0.000101079,0.0016568957,0.0005672127,0.0041535525,0.98603904,0.000051257768],"about_ca_topic_score_codex":0.069867015,"about_ca_topic_score_gemma":0.039911043,"teacher_disagreement_score":0.069867015,"about_ca_system_score_codex":0.0018402113,"about_ca_system_score_gemma":0.0059368154,"threshold_uncertainty_score":0.2250858},"labels":[],"label_agreement":null},{"id":"W4205749560","doi":"10.5194/essd-14-57-2022","title":"A new local meteoric water line for Inuvik (NT, Canada)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Methane Hydrates and Related Phenomena","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":"Aurora College","funders":"Horizon 2020 Framework Programme; European Commission","keywords":"Meteoric water; Geology; Precipitation; Piezometer; Pangaea; Arctic; Paleoclimatology; Snow; Physical geography; Hydrology (agriculture); Climatology; Groundwater; Oceanography; Climate change; Geomorphology; Meteorology; Geography; Permian; Aquifer","score_opus":0.020990125527002267,"score_gpt":0.22527182556093145,"score_spread":0.20428170003392918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205749560","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":[0.2933069,0.0015889555,0.013808028,0.0017348316,0.0005099097,0.0013791899,0.5648815,0.0026882438,0.120102584],"genre_scores_gemma":[0.46164218,0.001196634,0.04743347,0.0006002687,0.00006736046,0.0014945256,0.35715613,0.001004262,0.1294052],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995377,0.000020585374,0.000031796437,0.000086043416,0.00019051881,0.00013331977],"domain_scores_gemma":[0.9974765,0.00004341606,0.00012816647,0.00008223504,0.0019931307,0.00027649102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004824242,0.00041106442,0.00034774968,0.0026427864,0.0020445385,0.0013899925,0.0010270723,0.0002186722,0.012513394],"category_scores_gemma":[0.0009664582,0.0002793952,0.00026452748,0.006142783,0.00032503862,0.00048598804,0.0007962047,0.0005431336,0.0028686954],"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":[0.0008369551,0.00014537005,0.43903512,0.0007174128,0.00011878752,0.0005190232,0.0033777624,0.0026546288,0.008840381,0.0028414738,0.2583336,0.2825794],"study_design_scores_gemma":[0.000052429128,0.000045166227,0.5555383,0.000135898,0.000034261113,0.00014097558,0.0029588873,0.0017602858,0.0020229227,0.00015576724,0.4370728,0.000082288534],"about_ca_topic_score_codex":0.974422,"about_ca_topic_score_gemma":0.9907865,"teacher_disagreement_score":0.025578022,"about_ca_system_score_codex":0.014097234,"about_ca_system_score_gemma":0.03353497,"threshold_uncertainty_score":0.10228306},"labels":[],"label_agreement":null},{"id":"W4206953229","doi":"10.5194/essd-14-179-2022","title":"The ABCflux database: Arctic–boreal CO <sub>2</sub> flux observations and ancillary information aggregated to monthly time steps across terrestrial ecosystems","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University; Environment and Climate Change Canada; Carleton University; Dalhousie University; Université de Montréal; University of Alberta","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada; Ministry of Science and ICT, South Korea; ArcticNet; U.S. Department of Energy; Vetenskapsrådet; Kempestiftelserna; Russian Science Foundation; National Research Foundation of Korea; Natural Environment Research Council; Norges Forskningsråd; Academy of Finland; Horizon 2020; Russian Foundation for Basic Research; Svenska Forskningsrådet Formas; National Research Foundation; Korea Polar Research Institute; Deutsche Forschungsgemeinschaft; Sight Research UK; NOAA Center for Earth System Sciences and Remote Sensing Technologies; National Oceanic and Atmospheric Administration; Skogssällskapet; European Commission; National Aeronautics and Space Administration; Danmarks Grundforskningsfond; Kempe Foundation; Gordon and Betty Moore Foundation; Ministry of Environment; National Science Foundation","keywords":"Environmental science; Flux (metallurgy); Arctic; The arctic; Ecosystem; Chemistry; Atmospheric sciences; Oceanography; Biology; Ecology; Geology","score_opus":0.015781635912440993,"score_gpt":0.22519673855366257,"score_spread":0.20941510264122157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206953229","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":[0.01766378,0.0005246325,0.0019331698,0.00005897061,0.000041138566,0.000061212515,0.9751082,0.0017020383,0.0029068834],"genre_scores_gemma":[0.021849947,0.00023326186,0.004049608,0.000044495253,0.000023537861,0.00014729779,0.97316056,0.00017081159,0.00032052107],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989956,0.000106008956,0.00027871638,0.00030098108,0.00023710678,0.000081670885],"domain_scores_gemma":[0.99523526,0.0007130843,0.001314167,0.0010457822,0.0012564793,0.0004352135],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016175545,0.001460815,0.0012509736,0.0069408994,0.00048032013,0.0020380353,0.0014217698,0.00088676,0.0063240025],"category_scores_gemma":[0.0034694276,0.00052862574,0.00062823057,0.011768162,0.00020520402,0.0016837368,0.0010066613,0.0005157573,0.004049098],"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":[0.00091312727,0.00026347014,0.29376677,0.0028409238,0.0012176081,0.0006568716,0.00043416105,0.010244394,0.005976542,0.0044792877,0.5659427,0.11326411],"study_design_scores_gemma":[0.00030543437,0.00007942103,0.46831393,0.00060734997,0.00028270105,0.00037593654,0.00029291914,0.010932284,0.0038456416,0.001954352,0.5128249,0.00018517395],"about_ca_topic_score_codex":0.068052016,"about_ca_topic_score_gemma":0.049511503,"teacher_disagreement_score":0.068052016,"about_ca_system_score_codex":0.00083756546,"about_ca_system_score_gemma":0.001869171,"threshold_uncertainty_score":0.13531184},"labels":[],"label_agreement":null},{"id":"W4210558075","doi":"10.5194/essd-14-325-2022","title":"An 11-year record of XCO <sub>2</sub> estimates derived from GOSAT measurements using the NASA ACOS version 9 retrieval algorithm","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":73,"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 Centre for Earth Observation; Australian Research Council; Jet Propulsion Laboratory; Université de La Réunion; Korea Meteorological Administration; Academy of Finland; Bundesministerium für Wirtschaft und Energie; European Commission; European Space Agency","keywords":"Satellite; Environmental science; Greenhouse gas; Algorithm; Remote sensing; Meteorology; Inversion (geology); Atmospheric sciences; Computer science; Physics; Geology","score_opus":0.031864620291823256,"score_gpt":0.24081350800264803,"score_spread":0.20894888771082476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210558075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.914549,0.00036825257,0.003325169,0.00022735859,0.00017079407,0.000102689366,0.07222808,0.0013217113,0.0077069784],"genre_scores_gemma":[0.8409991,0.00025882735,0.015334444,0.000111919995,0.000097987904,0.00008253635,0.14055935,0.00013982118,0.0024160615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998585,0.000007128903,0.000013594279,0.000036101952,0.000064154076,0.000020549722],"domain_scores_gemma":[0.99943525,0.000029522738,0.00011264922,0.00006636069,0.00030348272,0.000052664618],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034465367,0.00042297956,0.00018029443,0.0012403565,0.00042273148,0.00048520855,0.00025393115,0.00029813522,0.00071886816],"category_scores_gemma":[0.00055219646,0.00014718412,0.00023638722,0.0015452618,0.00019051737,0.00039365288,0.00032555716,0.00036387736,0.00038509045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084986264,0.00046074856,0.709917,0.00047068324,0.00054794934,0.0010851964,0.00054545456,0.023221843,0.061565608,0.0011712428,0.06030755,0.1398569],"study_design_scores_gemma":[0.000044177406,0.00007496291,0.94606525,0.000041123556,0.00008105161,0.00015147733,0.00012365355,0.015580969,0.009040857,0.00011544391,0.028638484,0.00004260014],"about_ca_topic_score_codex":0.0499378,"about_ca_topic_score_gemma":0.10225157,"teacher_disagreement_score":0.0499378,"about_ca_system_score_codex":0.00059719733,"about_ca_system_score_gemma":0.00076948944,"threshold_uncertainty_score":0.099294245},"labels":[],"label_agreement":null},{"id":"W4210933056","doi":"10.5194/essd-14-559-2022","title":"Distribution and characteristics of wastewater treatment plants within the global river network","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Water Treatment and Disinfection","field":"Environmental Science","cited_by":216,"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; Universiteit Utrecht; McGill University","keywords":"Environmental science; Effluent; Sewage treatment; Outfall; Wastewater; Pollutant; Geospatial analysis; Population; Streamflow; Water resource management; Hydrology (agriculture); Environmental engineering; Drainage basin; Geography; Ecology; Remote sensing; Cartography","score_opus":0.018054867276747114,"score_gpt":0.22142756582101178,"score_spread":0.20337269854426465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210933056","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95384383,0.00030169202,0.0007064649,0.000069108755,0.000004468544,0.000020772468,0.04307225,0.00008162727,0.0018998568],"genre_scores_gemma":[0.95958096,0.00027732915,0.0013326507,0.000019508383,0.0000041990415,0.000050389055,0.037906174,0.000018412762,0.0008102964],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99959713,0.00007741831,0.0000523844,0.00014520738,0.00007298896,0.000054764667],"domain_scores_gemma":[0.99901485,0.0001695011,0.00044997202,0.00007328253,0.00021901418,0.00007335945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035877782,0.00021676694,0.00021468315,0.0025356347,0.00014599004,0.0005381364,0.00020033354,0.00022221543,0.0012369615],"category_scores_gemma":[0.0009431186,0.00013329717,0.0003014429,0.0064709256,0.00022836291,0.0003859221,0.0005545848,0.00013036851,0.00027017941],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000821223,0.000020598805,0.97282076,0.00018468815,0.0001563166,0.00014594104,0.0004348062,0.005868149,0.002149541,0.00073368056,0.0033375283,0.0140660275],"study_design_scores_gemma":[0.000007998785,0.000018881057,0.98899883,0.000024983632,0.000026418671,0.00012892761,0.00036075673,0.0036829677,0.0003480276,0.00011571864,0.00627546,0.0000110122055],"about_ca_topic_score_codex":0.017840564,"about_ca_topic_score_gemma":0.02477305,"teacher_disagreement_score":0.017840564,"about_ca_system_score_codex":0.0005040459,"about_ca_system_score_gemma":0.0004355494,"threshold_uncertainty_score":0.035473466},"labels":[],"label_agreement":null},{"id":"W4212933234","doi":"10.5194/essd-14-795-2022","title":"Reconstruction of a daily gridded snow water equivalent product for the land region above 45° N based on a ridge regression machine learning approach","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"National Science Fund for Distinguished Young Scholars; Goddard Space Flight Center; European Centre for Medium-Range Weather Forecasts; National Natural Science Foundation of China; European Space Agency; National Aeronautics and Space Administration","keywords":"Snow; Environmental science; Water equivalent; Data assimilation; Land cover; Mean squared error; Regression; Algorithm; Scale (ratio); Climatology; Meteorology; Climate change; Remote sensing; Computer science; Mathematics; Statistics; Land use; Geology; Cartography; Geography","score_opus":0.06943956135455293,"score_gpt":0.2465662486503188,"score_spread":0.17712668729576586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4212933234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8739896,0.00023202352,0.11893299,0.0001917577,0.00008669713,0.00004635149,0.0021691965,0.0024247982,0.0019265966],"genre_scores_gemma":[0.9369023,0.0001071248,0.059280712,0.00002777179,0.000020592353,0.00002474795,0.002743127,0.00009090366,0.0008028393],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984574,0.000022643093,0.000010693341,0.0000505637,0.00004463661,0.000025751482],"domain_scores_gemma":[0.999778,0.000023345736,0.000028360255,0.000034950273,0.00011577645,0.000019660674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039765713,0.0005149905,0.000409903,0.0010892827,0.00019159858,0.00041231635,0.00051481894,0.0004364434,0.0009913004],"category_scores_gemma":[0.00069004245,0.0002638557,0.0010413562,0.0012048113,0.00015579477,0.00044196754,0.00031240965,0.0003987424,0.0004991962],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030262175,0.0003329941,0.08354216,0.000145046,0.00037732633,0.0006561318,0.00015958486,0.67362994,0.044983253,0.0008846867,0.003922703,0.19106358],"study_design_scores_gemma":[0.000010552171,0.000011067981,0.011048636,0.0000037890559,0.00001604717,0.000018706694,0.000017257427,0.9864956,0.0020296613,0.00009187014,0.00024800657,0.000008944988],"about_ca_topic_score_codex":0.011947525,"about_ca_topic_score_gemma":0.0106521435,"teacher_disagreement_score":0.011947525,"about_ca_system_score_codex":0.00028752573,"about_ca_system_score_gemma":0.00059642,"threshold_uncertainty_score":0.023755968},"labels":[],"label_agreement":null},{"id":"W4221129917","doi":"10.5194/essd-14-1109-2022","title":"The Reading Palaeofire Database: an expanded global resource to document changes in fire regimes from sedimentary charcoal records","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","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 Alberta; Université de Montréal; Université Laval; Natural Resources Canada; Canadian Forest Service; University of Ottawa; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal","funders":"European Research Council; Deutsche Forschungsgemeinschaft; Leverhulme Trust","keywords":"Database; Charcoal; Radiocarbon dating; Metadata; Sedimentary rock; Resource (disambiguation); Computer science; Environmental science; Geology; Archaeology; Geography; World Wide Web; Paleontology","score_opus":0.017040424625581134,"score_gpt":0.2601242271313125,"score_spread":0.24308380250573136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221129917","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":[0.0054403553,0.00035483725,0.0012536849,0.00011274908,0.000026103868,0.000072212555,0.981927,0.0016990041,0.009114065],"genre_scores_gemma":[0.007837346,0.0002858188,0.007335224,0.000053289037,0.000025481848,0.0002634106,0.980648,0.00059517595,0.0029562379],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990777,0.00007503568,0.00023747931,0.0002006849,0.00034521185,0.000063831285],"domain_scores_gemma":[0.99306387,0.0013595012,0.0014554021,0.0012985466,0.0024323172,0.00039036933],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002073431,0.00086887175,0.0010581289,0.013598189,0.00040858868,0.0013946042,0.0020111927,0.0008029141,0.047211967],"category_scores_gemma":[0.008684947,0.0006084333,0.00035839924,0.012297473,0.00024840553,0.0019147607,0.0017739285,0.00074957643,0.024418136],"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":[0.00022437792,0.000072057715,0.024399629,0.002391766,0.00013663723,0.0002989227,0.0008679727,0.00070790836,0.0021072796,0.0023000028,0.8456673,0.12082614],"study_design_scores_gemma":[0.00009283099,0.000026278041,0.088507906,0.000641922,0.00006188526,0.00024848073,0.00026560848,0.0005693509,0.0013452254,0.0008969106,0.9072695,0.00007414717],"about_ca_topic_score_codex":0.04440436,"about_ca_topic_score_gemma":0.046061788,"teacher_disagreement_score":0.047211967,"about_ca_system_score_codex":0.0008490927,"about_ca_system_score_gemma":0.0017508708,"threshold_uncertainty_score":0.15793979},"labels":[],"label_agreement":null},{"id":"W4224294157","doi":"10.5194/essd-14-1869-2022","title":"GeoDAR: georeferenced global dams and reservoirs dataset for bridging attributes and geolocations","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":213,"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; Texas A and M University; University of Kansas; National Aeronautics and Space Administration","keywords":"Georeference; Geocoding; Geography; Computer science; Cartography; Human settlement; Environmental science; Physical geography","score_opus":0.039937414640658364,"score_gpt":0.3040497512390261,"score_spread":0.26411233659836775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4224294157","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":[0.0010453048,0.00008458898,0.0010298068,0.000097654716,0.00004123069,0.000024818815,0.9948,0.0020076,0.00086901017],"genre_scores_gemma":[0.0017316142,0.00005367809,0.0020103739,0.000038179765,0.0000066196444,0.000056508645,0.9957249,0.0001066457,0.00027146377],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897635,0.00013146806,0.00017045207,0.00028686717,0.00030219334,0.00013264052],"domain_scores_gemma":[0.99863106,0.00020626976,0.00016230013,0.0004380077,0.00043749882,0.00012487518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009664412,0.0013531091,0.0008639177,0.0030295395,0.0006340557,0.0012097094,0.0023007176,0.001267694,0.011642257],"category_scores_gemma":[0.0040793116,0.0005311098,0.0011213687,0.0055271024,0.0004056689,0.0018673721,0.0025858975,0.0015532078,0.018990539],"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":[0.00009745608,0.000044520206,0.0056383763,0.00059690606,0.00006586076,0.00009098827,0.000121439865,0.001993034,0.0009847364,0.0023872713,0.976066,0.011913362],"study_design_scores_gemma":[0.00021997136,0.000032821692,0.019079125,0.0002864683,0.00005415337,0.0001601367,0.00034457614,0.0058737597,0.001905459,0.004375988,0.9675692,0.000098350734],"about_ca_topic_score_codex":0.033109304,"about_ca_topic_score_gemma":0.06395372,"teacher_disagreement_score":0.033109304,"about_ca_system_score_codex":0.0007263502,"about_ca_system_score_gemma":0.0021489759,"threshold_uncertainty_score":0.06583315},"labels":[],"label_agreement":null},{"id":"W4225004802","doi":"10.5194/essd-14-1917-2022","title":"Global Carbon Budget 2021","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1616,"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; Tula Foundation","funders":"NOAA Research; Horizon 2020; Hakai Institute; Princeton Environmental Institute, Princeton University; Office of Science; National Oceanic and Atmospheric Administration; Prince Albert II of Monaco Foundation; Grand Équipement National De Calcul Intensif; Helmholtz Association; Universität Bremen; Natural Environment Research Council; Norges Forskningsråd; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; Fonds Wetenschappelijk Onderzoek; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Marine Institute; Commonwealth Scientific and Industrial Research Organisation; Deutsche Forschungsgemeinschaft; Ministry of the Environment, Government of Japan; National Centre for Atmospheric Science; Sight Research UK; Deutsches Klimarechenzentrum; National Natural Science Foundation of China; U.S. Department of Energy; Department of Science and Innovation, South Africa; National Cancer Institute; Nuclear Safety and Security Commission; National Institute of Water and Atmospheric Research; Newton Fund; National Research Foundation; Tula Foundation; Fondation BNP Paribas; National Computational Infrastructure; Ocean Acidification Program; U.S. Department of Commerce; European Space Agency; Princeton University; Institut de Recherche pour le Développement; National Aeronautics and Space Administration; Royal Society; National Science Foundation","keywords":"Carbon fibers; Environmental science; Computer science; Algorithm","score_opus":0.009855152148445437,"score_gpt":0.21649620297247463,"score_spread":0.2066410508240292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225004802","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":[0.0032380456,0.02663133,0.008362944,0.033451818,0.015308258,0.0006527917,0.25464138,0.0029301178,0.6547833],"genre_scores_gemma":[0.05574624,0.04236687,0.026653402,0.017276347,0.0027775387,0.0038527257,0.3016653,0.0020040537,0.5476575],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99930835,0.00011395752,0.000033824424,0.00010928795,0.00028983,0.00014472847],"domain_scores_gemma":[0.9992384,0.000047572546,0.00004669634,0.0000639366,0.0005093649,0.00009405271],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016438765,0.0023052501,0.00092871836,0.001999952,0.00080606365,0.0030904778,0.0012600482,0.002572868,0.14473788],"category_scores_gemma":[0.0018924582,0.00044776144,0.00071615557,0.0038435129,0.00050811603,0.003024115,0.0020213712,0.0023384965,0.10080845],"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":[0.00020775571,0.00004887463,0.0008037914,0.001013926,0.00006018251,0.000094142946,0.000046665733,0.001150581,0.0012280868,0.03290967,0.7611427,0.2012936],"study_design_scores_gemma":[0.000015317257,0.000014656599,0.00055157824,0.00015443598,0.000008040626,0.000022464183,0.000022318678,0.00016459376,0.0001505578,0.002934009,0.99595535,0.0000065965837],"about_ca_topic_score_codex":0.029996572,"about_ca_topic_score_gemma":0.0152189145,"teacher_disagreement_score":0.14473788,"about_ca_system_score_codex":0.0038320723,"about_ca_system_score_gemma":0.00840375,"threshold_uncertainty_score":0.48419648},"labels":[],"label_agreement":null},{"id":"W4226172845","doi":"10.5194/essd-14-763-2022","title":"Airborne ultra-wideband radar sounding over the shear margins and along flow lines at the onset region of the Northeast Greenland Ice Stream","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"University of Manitoba","funders":"Office of Polar Programs; National Institute of Polar Research; Bergens Forskningsstiftelse; Universitetet i Bergen; Beijing Normal University; Institut Polaire Français Paul Emile Victor; Chinese Academy of Sciences; Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Københavns Universitet; National Science Foundation; A.P. Møller og Hustru Chastine Mc-Kinney Møllers Fond til almene Formaal; National Aeronautics and Space Administration; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Depth sounding; Geology; Radar; Echo sounding; Climatology; Remote sensing; Geophysics; Oceanography; Telecommunications","score_opus":0.03172427708224764,"score_gpt":0.2234660131341629,"score_spread":0.19174173605191525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226172845","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885019,0.00013841125,0.00088968634,0.000050458362,0.000027198708,0.000025815985,0.008371447,0.00010829991,0.0018866875],"genre_scores_gemma":[0.9711431,0.00015681039,0.004388907,0.0000590608,0.000047528338,0.000035613753,0.022886418,0.00003888206,0.0012435704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998568,0.000012650025,0.000007769663,0.00003860059,0.000044987108,0.00003918147],"domain_scores_gemma":[0.9997228,0.000018963938,0.000055392033,0.00003353573,0.00011864653,0.000050634393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021720308,0.0003433388,0.00026135074,0.0013265831,0.00025156164,0.00039202048,0.00029037782,0.00020108448,0.0006939754],"category_scores_gemma":[0.00022464008,0.00009512892,0.0001743798,0.00080306595,0.0001705035,0.00023781978,0.00029407124,0.00022312939,0.00032864284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005387442,0.0005452331,0.7478162,0.00021530622,0.00020998355,0.0015616304,0.0009648444,0.0118172495,0.10401821,0.00033124868,0.012606995,0.11937435],"study_design_scores_gemma":[0.00003617253,0.00006304728,0.97822547,0.000032752007,0.000041826865,0.0002007523,0.00039489666,0.007844865,0.005696238,0.00008901136,0.007358493,0.000016475813],"about_ca_topic_score_codex":0.030702738,"about_ca_topic_score_gemma":0.0841155,"teacher_disagreement_score":0.030702738,"about_ca_system_score_codex":0.00040164238,"about_ca_system_score_gemma":0.0005026464,"threshold_uncertainty_score":0.06104803},"labels":[],"label_agreement":null},{"id":"W4226333000","doi":"10.5194/essd-14-1639-2022","title":"Comparing national greenhouse gas budgets reported in UNFCCC inventories against atmospheric inversions","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":202,"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; European Commission; European Space Agency","keywords":"Greenhouse gas; Environmental science; United Nations Framework Convention on Climate Change; Climate change; Inversion (geology); Methane; Atmospheric sciences; Atmospheric carbon cycle; Agriculture; Climatology; Ecosystem; Carbon cycle; Kyoto Protocol; Geography; Oceanography; Geology; Ecology","score_opus":0.03706523725320487,"score_gpt":0.2406195635863622,"score_spread":0.20355432633315731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226333000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8854797,0.0008492148,0.012712919,0.000336827,0.00011279762,0.00008346488,0.08050309,0.0013183375,0.018603625],"genre_scores_gemma":[0.908129,0.0004474867,0.010627667,0.00008583252,0.000050670606,0.0001224661,0.07935679,0.00026971375,0.0009103907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983342,0.00032363055,0.00022281102,0.00031624644,0.0005756247,0.0002275293],"domain_scores_gemma":[0.9959799,0.0008137699,0.0008687156,0.00086275616,0.0014124999,0.00006231113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026710427,0.00060810783,0.00030670385,0.0034529606,0.00028160203,0.0008226407,0.00045073216,0.0003268565,0.0013905963],"category_scores_gemma":[0.00872234,0.00022027134,0.00063362217,0.0071297376,0.00033103742,0.0015478367,0.0008167649,0.00039123383,0.0002943773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00063361507,0.00021794025,0.6308606,0.00050864066,0.0019042499,0.0002558267,0.0005343309,0.20522122,0.0072524543,0.00683288,0.023548096,0.12223016],"study_design_scores_gemma":[0.000104702216,0.00010800058,0.8176194,0.00016739011,0.00064849475,0.00019761315,0.0005407832,0.112657905,0.015749868,0.0026172712,0.049388148,0.0002005617],"about_ca_topic_score_codex":0.059124183,"about_ca_topic_score_gemma":0.04583171,"teacher_disagreement_score":0.059124183,"about_ca_system_score_codex":0.0015383074,"about_ca_system_score_gemma":0.0011762051,"threshold_uncertainty_score":0.11756009},"labels":[],"label_agreement":null},{"id":"W4239091324","doi":"10.5194/essd-12-1525-2020","title":"AIMERG: a new Asian precipitation dataset (0.1°/half-hourly, 2000–2015) by calibrating the GPM-era IMERG at a daily scale using APHRODITE","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Precipitation Measurement and Analysis","field":"Earth and Planetary Sciences","cited_by":122,"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":"State Key Laboratory of Remote Sensing Science; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Environmental science; Precipitation; Global Precipitation Measurement; Climatology; Satellite; Scale (ratio); Calibration; Meteorology; Remote sensing; Geography; Geology; Statistics; Mathematics; Cartography","score_opus":0.062226033845773854,"score_gpt":0.26802776053870675,"score_spread":0.2058017266929329,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4239091324","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":[0.3770221,0.0006416484,0.07602592,0.0006131121,0.00045361306,0.00058114046,0.52738506,0.006991395,0.010286096],"genre_scores_gemma":[0.33466667,0.00028202115,0.08878704,0.00021237289,0.00012024109,0.00063663704,0.5724876,0.0006196093,0.0021877796],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995925,0.00006506512,0.00006944401,0.00012759618,0.00010721953,0.000038179],"domain_scores_gemma":[0.99917406,0.000037720347,0.00013726998,0.00028386066,0.000312047,0.000055028537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095222396,0.0005952927,0.00039960243,0.0011317165,0.0002397529,0.0005419326,0.0010581263,0.00038348694,0.0015829538],"category_scores_gemma":[0.0015230037,0.00023651571,0.00061383744,0.0019010756,0.0001920725,0.00075642345,0.0007508715,0.00078026264,0.00096467946],"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":[0.0013310318,0.0009542408,0.32442984,0.0015094423,0.0018032148,0.0005402823,0.00079240685,0.1495187,0.040381584,0.0050784773,0.23217519,0.24148557],"study_design_scores_gemma":[0.00055321853,0.0001640787,0.5655569,0.0001856001,0.00029469936,0.00026862152,0.00032696922,0.21935597,0.027399238,0.0015290201,0.18414901,0.00021665973],"about_ca_topic_score_codex":0.01809775,"about_ca_topic_score_gemma":0.021146668,"teacher_disagreement_score":0.01809775,"about_ca_system_score_codex":0.00036706604,"about_ca_system_score_gemma":0.001190364,"threshold_uncertainty_score":0.035984814},"labels":[],"label_agreement":null},{"id":"W4244704947","doi":"10.5194/essd-12-2725-2020","title":"Improved estimate of global gross primary production for reproducing its long-term variation, 1982–2017","year":2020,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","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 Toronto","funders":"National Science Fund for Distinguished Young Scholars; National Key Research and Development Program of China","keywords":"Primary production; Environmental science; Eddy covariance; Atmospheric sciences; Latitude; Climatology; Term (time); Vegetation (pathology); Satellite; Longitude; Vapour Pressure Deficit; Meteorology; Ecosystem; Geography; Geology","score_opus":0.031231686081277025,"score_gpt":0.26589301501505574,"score_spread":0.23466132893377872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4244704947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7390257,0.0046529556,0.11793532,0.0008161896,0.0005536468,0.000121632016,0.12726663,0.0027863046,0.0068416256],"genre_scores_gemma":[0.863896,0.0007607139,0.03289749,0.00009202492,0.00011225347,0.00017253851,0.10062539,0.00032117037,0.0011224485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999705,0.00005405943,0.000031684605,0.00011658811,0.000063648215,0.000028921499],"domain_scores_gemma":[0.9994562,0.000073447314,0.0000775199,0.00010534897,0.0002600511,0.000027360895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010319444,0.0008260876,0.00037293285,0.0009851176,0.00023273563,0.00045008663,0.00066116574,0.0004645209,0.00092757406],"category_scores_gemma":[0.0015982182,0.00023829551,0.0009106797,0.0016637436,0.00018406709,0.00086097413,0.00043877526,0.0005049832,0.0006713229],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018214247,0.00017246841,0.25121948,0.0006727389,0.00096221035,0.0003409502,0.00012346174,0.6120357,0.01079374,0.0031679638,0.03234104,0.08798808],"study_design_scores_gemma":[0.000081454025,0.000039341816,0.25358704,0.0000701347,0.00021465415,0.000104744555,0.000053786192,0.71573883,0.00537683,0.0017012618,0.022943975,0.00008792711],"about_ca_topic_score_codex":0.046873715,"about_ca_topic_score_gemma":0.030972619,"teacher_disagreement_score":0.046873715,"about_ca_system_score_codex":0.0008556194,"about_ca_system_score_gemma":0.0011912521,"threshold_uncertainty_score":0.09320176},"labels":[],"label_agreement":null},{"id":"W4280653369","doi":"10.5194/essd-14-2209-2022","title":"Greenland Geothermal Heat Flow Database and Map (Version 1)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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 Manitoba; Dalhousie University","funders":"Hokkaido University; Deutsche Forschungsgemeinschaft; Helmholtz-Zentrum Potsdam - Deutsches GeoForschungsZentrum GFZ; European Space Agency; Villum Fonden","keywords":"Geothermal gradient; Heat flow; Geology; Database; Flow (mathematics); Computer science; Geophysics; Meteorology; Mechanics","score_opus":0.018999307872500537,"score_gpt":0.2221098737496029,"score_spread":0.20311056587710236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280653369","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":[0.0028764503,0.000064588545,0.0031835332,0.000078903286,0.00003880903,0.00007452673,0.98090327,0.007898791,0.004881285],"genre_scores_gemma":[0.008849042,0.00009444649,0.0087448,0.0000681871,0.000013554152,0.00021449877,0.97771764,0.001792388,0.0025053986],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998011,0.000019043302,0.000020915119,0.00006810641,0.000058701266,0.000032184755],"domain_scores_gemma":[0.9994312,0.00007320611,0.000056918336,0.00017878092,0.00020079977,0.000059100927],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052506657,0.000917873,0.0005657584,0.0018640981,0.00028386986,0.0009934098,0.0015650928,0.0006917208,0.051099658],"category_scores_gemma":[0.0012102695,0.0005505397,0.00050566235,0.0035473004,0.00018405885,0.0011962149,0.00079903065,0.0010150868,0.03052367],"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":[0.00014744919,0.000103989514,0.009317303,0.0005270432,0.00008703129,0.00013150799,0.00014870771,0.012321903,0.0016391448,0.0024208315,0.9396858,0.03346926],"study_design_scores_gemma":[0.000457456,0.000030021356,0.039294727,0.00023209871,0.000048123376,0.00007752433,0.00018228064,0.02428623,0.0041316235,0.0051289788,0.9260469,0.000083996],"about_ca_topic_score_codex":0.05082365,"about_ca_topic_score_gemma":0.04991935,"teacher_disagreement_score":0.051099658,"about_ca_system_score_codex":0.00076653634,"about_ca_system_score_gemma":0.0013514401,"threshold_uncertainty_score":0.1709454},"labels":[],"label_agreement":null},{"id":"W4281705874","doi":"10.5194/essd-14-2721-2022","title":"The CISE-LOCEAN seawater isotopic database (1998–2021)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Science North","funders":"Natural Environment Research Council; Directorate for Computer and Information Science and Engineering; Institut national des sciences de l'Univers; Institut Polaire Français Paul Emile Victor; Centre National de la Recherche Scientifique; Sight Research UK; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer","keywords":"δ18O; Seawater; Standard deviation; Stable isotope ratio; Isotope; Environmental science; Geology; Database; Oceanography; Statistics; Computer science; Physics; Mathematics; Nuclear physics","score_opus":0.02423494893574859,"score_gpt":0.2175918818999733,"score_spread":0.1933569329642247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281705874","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":[0.0064484435,0.0008768239,0.000672899,0.00016231333,0.000098631164,0.00003431626,0.98576176,0.00040323052,0.005541629],"genre_scores_gemma":[0.011291833,0.00071412703,0.00204924,0.00012069709,0.000028856079,0.00013130905,0.98306286,0.00011686857,0.002484369],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99905914,0.000090696296,0.00013125433,0.00021942885,0.0004331222,0.00006633534],"domain_scores_gemma":[0.997985,0.00006536205,0.0002967777,0.00018790147,0.0013067961,0.00015809918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013271967,0.0012876685,0.0007559338,0.005956911,0.0002976359,0.0011346224,0.0012727531,0.0004710235,0.0126606515],"category_scores_gemma":[0.0031503579,0.00027888716,0.000421372,0.008654747,0.00020148462,0.0010701208,0.0018941838,0.00049852184,0.014951545],"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":[0.00074939296,0.000054190717,0.075319126,0.0036718298,0.00041758714,0.0002927203,0.00015121061,0.0023462335,0.0044045,0.0037706848,0.76959616,0.13922644],"study_design_scores_gemma":[0.000049885748,0.000032704644,0.07938698,0.0003772229,0.00005084909,0.00011524445,0.00013780993,0.00069681066,0.001999654,0.0005797717,0.916539,0.000034025124],"about_ca_topic_score_codex":0.041141123,"about_ca_topic_score_gemma":0.045227524,"teacher_disagreement_score":0.041141123,"about_ca_system_score_codex":0.0021885794,"about_ca_system_score_gemma":0.003078241,"threshold_uncertainty_score":0.08180332},"labels":[],"label_agreement":null},{"id":"W4283446177","doi":"10.5194/essd-14-2865-2022","title":"High-temporal-resolution hydrometeorological data collected in the tropical Cordillera Blanca, Peru (2004–2020)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"McGill University; École de Technologie Supérieure","funders":"Ohio State University; National Aeronautics and Space Administration; National Geographic Society; National Science Foundation","keywords":"Hydrometeorology; Streamflow; Glacier; Tributary; Climate change; Precipitation; Climatology; Surface runoff; Hydrology (agriculture); Environmental science; Physical geography; Geology; Meteorology; Geography; Drainage basin; Cartography; Oceanography","score_opus":0.055642764053264446,"score_gpt":0.24837333807679443,"score_spread":0.19273057402353,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283446177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.84975183,0.0012627703,0.0006529669,0.0008211351,0.00002772735,0.00009816427,0.14111224,0.00030685248,0.0059663984],"genre_scores_gemma":[0.8658767,0.0008541022,0.0018002813,0.00013324371,0.000054359596,0.0002799464,0.12906592,0.00002770391,0.0019076908],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998286,0.00003501747,0.000012891831,0.000047235306,0.000049017133,0.000027333213],"domain_scores_gemma":[0.99908066,0.00008389081,0.00027078195,0.000076128046,0.00040068087,0.0000878372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033424256,0.00031689458,0.00017680548,0.0023206484,0.00036161227,0.00063314865,0.00037573793,0.0003294657,0.0019077309],"category_scores_gemma":[0.0012357167,0.00011673018,0.00020152808,0.0040221703,0.00017425051,0.0004179141,0.000711106,0.00024150596,0.00048627047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012904815,0.00010561933,0.9353644,0.00043067028,0.00033962016,0.0005665896,0.00072575215,0.0046301857,0.0035460717,0.00030300426,0.02119902,0.032659955],"study_design_scores_gemma":[0.000012301428,0.000019461357,0.9857653,0.000031757114,0.000025475956,0.00006896308,0.00033746535,0.0015410051,0.0002469159,0.00004073656,0.011899162,0.000011464704],"about_ca_topic_score_codex":0.16323797,"about_ca_topic_score_gemma":0.23626687,"teacher_disagreement_score":0.16323797,"about_ca_system_score_codex":0.00097262126,"about_ca_system_score_gemma":0.00079303584,"threshold_uncertainty_score":0.32457566},"labels":[],"label_agreement":null},{"id":"W4283831357","doi":"10.5194/essd-14-3013-2022","title":"A 10-year global monthly averaged terrestrial net ecosystem exchange dataset inferred from the ACOS GOSAT v9 XCO <sub>2</sub> retrievals (GCAS2021)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":68,"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 Key Research and Development Program of China; Jet Propulsion Laboratory; National Oceanic and Atmospheric Administration; Goddard Space Flight Center; Fundamental Research Funds for the Central Universities; Nanjing University; California Institute of Technology","keywords":"Biosphere; Environmental science; Carbon cycle; Boreal; Climatology; Carbon sink; Atmospheric sciences; Carbon flux; Primary production; Taiga; Inversion (geology); Temperate climate; Southern Hemisphere; Ecosystem; Terrestrial ecosystem; Climate change; Structural basin; Geography; Geology; Oceanography; Ecology","score_opus":0.018417598710405367,"score_gpt":0.22062242393662254,"score_spread":0.2022048252262172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283831357","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":[0.043673355,0.00023558829,0.0012472571,0.00023269774,0.0001313787,0.00006965265,0.95058924,0.0012170929,0.0026035996],"genre_scores_gemma":[0.034546286,0.00012744173,0.00347635,0.000108759144,0.0000392237,0.000111825764,0.96068364,0.00012222686,0.0007843005],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978524,0.000022749771,0.000020041785,0.0000725755,0.000064964624,0.000034459474],"domain_scores_gemma":[0.9996617,0.000022960156,0.000054647473,0.00006952581,0.00014608407,0.00004507426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034720445,0.0009383645,0.00044693396,0.0013713602,0.00036281275,0.0004938737,0.0008705085,0.0007621861,0.003943114],"category_scores_gemma":[0.00058157096,0.00024805905,0.0007642213,0.0030200677,0.0002740635,0.0005710182,0.0005712961,0.0007409567,0.002723682],"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":[0.0005269295,0.0005601638,0.07299688,0.0015264299,0.0010954372,0.00062625017,0.00025553856,0.04570101,0.0227637,0.0034731508,0.7989094,0.051565085],"study_design_scores_gemma":[0.0007228022,0.000120035365,0.3895938,0.00031020195,0.0003312444,0.00025308,0.00035302603,0.078622125,0.012155106,0.002212029,0.5150305,0.00029602702],"about_ca_topic_score_codex":0.066664346,"about_ca_topic_score_gemma":0.09283292,"teacher_disagreement_score":0.066664346,"about_ca_system_score_codex":0.0005594368,"about_ca_system_score_gemma":0.0014224504,"threshold_uncertainty_score":0.13255262},"labels":[],"label_agreement":null},{"id":"W4285028544","doi":"10.5194/essd-14-3167-2022","title":"Volcanic stratospheric sulfur injections and aerosol optical depth during the Holocene (past 11 500 years) from a bipolar ice-core array","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","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 Saskatchewan","funders":"H2020 European Research Council; European Commission; South Dakota State University; National Science Foundation","keywords":"Ice core; Geology; Northern Hemisphere; Stratosphere; Volcano; Sulfate aerosol; Extratropical cyclone; Climatology; Holocene; Firn; Cryosphere; Atmospheric sciences; Physical geography; Oceanography; Sea ice; Snow; Paleontology; Geomorphology; Geography","score_opus":0.03403692439929552,"score_gpt":0.2474789927517101,"score_spread":0.21344206835241458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285028544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99387026,0.000085600754,0.000083233535,0.0000099368,0.0000029716873,0.000002697546,0.0055259387,0.0000106705165,0.00040874656],"genre_scores_gemma":[0.98354673,0.00007458184,0.00028008534,0.000012800961,0.000008044704,0.0000045613247,0.015796468,0.000005188908,0.00027160166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999161,0.000007500027,0.000009326495,0.00002798999,0.000019273946,0.000019780962],"domain_scores_gemma":[0.99965036,0.000037256217,0.00013517762,0.000035829362,0.000081280596,0.00006009051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022955528,0.00020601093,0.00012710338,0.001030402,0.00018271175,0.000391448,0.00016929675,0.00014324868,0.0007490487],"category_scores_gemma":[0.000399223,0.00008222613,0.00018449214,0.0008845301,0.00009227671,0.00019151639,0.00026818708,0.000110479414,0.00025042254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005372527,0.000013210844,0.99425054,0.000010064246,0.000041929638,0.00004189942,0.000052185616,0.00027999585,0.0014094249,0.000015910871,0.00040738902,0.0034237122],"study_design_scores_gemma":[0.0000011945198,0.0000066582847,0.9992446,0.0000019095435,0.0000086508935,0.000021929582,0.000020426023,0.00027307495,0.00016656671,0.000003896561,0.00025035787,8.1967414e-7],"about_ca_topic_score_codex":0.019734273,"about_ca_topic_score_gemma":0.04752776,"teacher_disagreement_score":0.019734273,"about_ca_system_score_codex":0.00032474162,"about_ca_system_score_gemma":0.00020231513,"threshold_uncertainty_score":0.03923881},"labels":[],"label_agreement":null},{"id":"W4285387169","doi":"10.5194/essd-14-3229-2022","title":"Meteorological and hydrological data from the Alder Creek watershed, SW Ontario","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","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":"McGill University; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; FedDev Ontario; Ontario Ministry of Economic Development and Innovation","keywords":"Watershed; Groundwater recharge; Hydrology (agriculture); Streamflow; Environmental science; Alder; Drainage basin; Groundwater; Stage (stratigraphy); Structural basin; Aquifer; Geology; Geography; Ecology; Geomorphology; Computer science; Cartography","score_opus":0.06566893976252566,"score_gpt":0.24853125755413727,"score_spread":0.1828623177916116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285387169","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":[0.3987458,0.00071120943,0.0010435106,0.0010088634,0.000052553663,0.0004599118,0.5256671,0.00024386814,0.07206715],"genre_scores_gemma":[0.5810551,0.0017151688,0.0038201413,0.00029712744,0.000036915048,0.00054909586,0.34127182,0.00013244004,0.0711222],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994777,0.00001720763,0.0000374996,0.000069383015,0.00031179047,0.000086451466],"domain_scores_gemma":[0.99797696,0.00007749691,0.00019630881,0.00007983623,0.0014588803,0.0002104733],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027150955,0.00028997887,0.00025390112,0.0015243988,0.0021689734,0.0009914752,0.0005929509,0.0001757605,0.006126749],"category_scores_gemma":[0.0012238288,0.00023311161,0.00017996038,0.0068141017,0.00039582566,0.00032477226,0.0005255465,0.00028437393,0.0014546218],"study_design_candidate":"not_applicable","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":[0.00024055634,0.0001699493,0.6816251,0.0007262898,0.00012498586,0.00067576964,0.006431988,0.0021498569,0.003266701,0.0020937733,0.24663809,0.055856865],"study_design_scores_gemma":[0.000028032,0.0000147735445,0.8834355,0.00006864956,0.000023056076,0.000046539077,0.0021482552,0.0008643629,0.0004346854,0.000113030816,0.112800084,0.000022982094],"about_ca_topic_score_codex":0.99345434,"about_ca_topic_score_gemma":0.99850106,"teacher_disagreement_score":0.018315066,"about_ca_system_score_codex":0.018315066,"about_ca_system_score_gemma":0.034328803,"threshold_uncertainty_score":0.1328857},"labels":[],"label_agreement":null},{"id":"W4285797115","doi":"10.5194/essd-14-3329-2022","title":"A 41-year (1979–2019) passive-microwave-derived lake ice phenology data record of the Northern Hemisphere","year":2022,"lang":"en","type":"article","venue":"Earth system science data","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 Waterloo","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Special sensor microwave/imager; Environmental science; Phenology; Climatology; Cryosphere; Brightness temperature; Radiometer; Sea ice concentration; Remote sensing; Sea ice; Microwave; Sea ice thickness; Geology","score_opus":0.026120805020402333,"score_gpt":0.22359729973106893,"score_spread":0.19747649471066658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285797115","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89566034,0.00038400362,0.0009022851,0.00008705941,0.00003211993,0.000052558124,0.09896393,0.00015025283,0.003767468],"genre_scores_gemma":[0.85936844,0.00023446648,0.002423056,0.000037359903,0.000046525976,0.0001094254,0.13540348,0.000026947231,0.0023503336],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9999093,0.0000068187837,0.000009510116,0.000027199676,0.0000271207,0.000019984414],"domain_scores_gemma":[0.99977344,0.000012106992,0.000057063233,0.000021050048,0.00010780342,0.000028480059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020385045,0.00020412683,0.00020925267,0.0011192418,0.00030427834,0.00030993222,0.00018167376,0.00015710441,0.0013842441],"category_scores_gemma":[0.00026694068,0.000086503605,0.00020251467,0.0016359596,0.00010995749,0.0002693045,0.0002943147,0.00013471783,0.00047408268],"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":[0.00046978824,0.00018767091,0.87564397,0.00045633028,0.00028554135,0.0007209141,0.0006016883,0.005419147,0.029872935,0.0002964048,0.023900783,0.062144727],"study_design_scores_gemma":[0.000011582282,0.000014178801,0.9888735,0.000011512805,0.000027525988,0.00004239068,0.00008423987,0.0016579293,0.0011707909,0.000019429273,0.008080799,0.0000060228535],"about_ca_topic_score_codex":0.07186992,"about_ca_topic_score_gemma":0.1386225,"teacher_disagreement_score":0.07186992,"about_ca_system_score_codex":0.00057176076,"about_ca_system_score_gemma":0.0007726188,"threshold_uncertainty_score":0.14290315},"labels":[],"label_agreement":null},{"id":"W4285992894","doi":"10.5194/essd-14-3365-2022","title":"A repository of measured soil freezing characteristic curves: 1921 to 2021","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":"Carleton University; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Soil water; Soil science; Environmental science; Water content; Hydrology (agriculture); Geology; Mineralogy; Geotechnical engineering","score_opus":0.06903038882587212,"score_gpt":0.253537889640612,"score_spread":0.1845075008147399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285992894","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":[0.00092307024,0.00014931484,0.00023002853,0.00005287871,0.000037052778,0.000009232802,0.99711525,0.0005784287,0.0009047612],"genre_scores_gemma":[0.002541906,0.00016873269,0.00085685775,0.0000337429,0.00001602446,0.00006127147,0.99569976,0.000117006086,0.000504647],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99891627,0.00011887563,0.00017189186,0.00031633064,0.00035481955,0.00012184936],"domain_scores_gemma":[0.9954586,0.000735587,0.00063499005,0.00078893785,0.0020814794,0.0003005236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012387206,0.0012817334,0.0008558566,0.0054978454,0.0004337518,0.0016295299,0.0014326621,0.0010247221,0.018276881],"category_scores_gemma":[0.005838336,0.00036258783,0.0008274852,0.009209727,0.00031692328,0.00164242,0.0015354559,0.001047993,0.029008448],"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":[0.00015971376,0.000047907593,0.01748219,0.001426416,0.00010563746,0.00009578188,0.000110632805,0.0020739974,0.00071714504,0.0015204238,0.94347227,0.03278781],"study_design_scores_gemma":[0.000078406,0.000025153156,0.039527014,0.0005627094,0.000042903655,0.00009546993,0.0002077799,0.0017763106,0.0012636958,0.0018599036,0.9544756,0.00008519442],"about_ca_topic_score_codex":0.019364584,"about_ca_topic_score_gemma":0.025423639,"teacher_disagreement_score":0.019364584,"about_ca_system_score_codex":0.001238155,"about_ca_system_score_gemma":0.001668358,"threshold_uncertainty_score":0.061142206},"labels":[],"label_agreement":null},{"id":"W4293759745","doi":"10.5194/essd-14-3835-2022","title":"A global map of local climate zones to support earth system modelling and urban-scale environmental science","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":318,"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":"Nederlandse Organisatie voor Wetenschappelijk Onderzoek; U.S. Geological Survey; Deutsche Forschungsgemeinschaft; National Aeronautics and Space Administration","keywords":"Urbanization; Land cover; Environmental resource management; Sustainability; Urban climate; Urban heat island; Environmental science; Natural resource; Scale (ratio); Urban planning; Land use; Earth system science; Environmental planning; Geography; Meteorology; Cartography; Civil engineering; Ecology","score_opus":0.017315940203581934,"score_gpt":0.22231575290538394,"score_spread":0.204999812701802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293759745","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":[0.11681299,0.001028532,0.20362943,0.001224138,0.0005004344,0.0006765623,0.58640593,0.025120825,0.064601146],"genre_scores_gemma":[0.45827228,0.00094815134,0.25937545,0.00015057725,0.000097089614,0.0008232502,0.27036265,0.0028190566,0.007151434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998441,0.000035516085,0.000009663865,0.000040057326,0.00005083045,0.000019854755],"domain_scores_gemma":[0.9995671,0.000083282626,0.000039772767,0.000110990506,0.00015497298,0.0000438054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040275196,0.0005250478,0.00027958574,0.00203482,0.0002555823,0.0010182293,0.00056528725,0.00048778436,0.015735094],"category_scores_gemma":[0.0012160566,0.00023886557,0.0005712449,0.004975436,0.0002363473,0.000741725,0.0011207612,0.00066302466,0.004468276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028759986,0.0002796836,0.03417056,0.00096658105,0.00029479465,0.0006679797,0.0010043882,0.5011887,0.010422122,0.019306522,0.19957148,0.23183963],"study_design_scores_gemma":[0.00014632235,0.00007684028,0.074308135,0.00031613585,0.000097405165,0.00025179464,0.00091667497,0.4153047,0.004996682,0.017248124,0.48619825,0.00013898448],"about_ca_topic_score_codex":0.02170991,"about_ca_topic_score_gemma":0.027840184,"teacher_disagreement_score":0.02170991,"about_ca_system_score_codex":0.00051094004,"about_ca_system_score_gemma":0.0009941331,"threshold_uncertainty_score":0.052639127},"labels":[],"label_agreement":null},{"id":"W4294233741","doi":"10.5194/essd-14-3915-2022","title":"Airborne SnowSAR data at X and Ku bands over boreal forest, alpine and tundra snow cover","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Canadian Space Agency; Earth Sciences Division; Bundesministerium für Verkehr, Innovation und Technologie; European Space Agency","keywords":"Tundra; Snow; Taiga; Glacier; Remote sensing; Boreal; Physical geography; Environmental science; Vegetation (pathology); Geology; Arctic; Geography; Meteorology; Forestry","score_opus":0.04450907878323522,"score_gpt":0.24611907694352203,"score_spread":0.2016099981602868,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294233741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85612196,0.0006857121,0.005618328,0.0001057959,0.00007848801,0.00009583648,0.12048673,0.0012811325,0.015526014],"genre_scores_gemma":[0.7802857,0.00044331912,0.010132653,0.000059852133,0.000040028415,0.00006339123,0.20519818,0.00013344143,0.0036434282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986684,0.000011913834,0.000013216951,0.000036299003,0.00005029597,0.000021382577],"domain_scores_gemma":[0.99974674,0.000017940132,0.00003855355,0.00003804916,0.00013045907,0.000028245304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028084885,0.00027901508,0.00019074223,0.0009977154,0.00026747413,0.00037629856,0.00019136962,0.00014358659,0.0020698681],"category_scores_gemma":[0.00027506347,0.00010209257,0.00020435077,0.0015118432,0.00010694517,0.00036274584,0.0002695,0.00016026256,0.0007667216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012421779,0.00054599193,0.51290107,0.00075283536,0.0007388384,0.0010305713,0.0012492733,0.029709073,0.082176976,0.0011263287,0.060442306,0.30808464],"study_design_scores_gemma":[0.00007196038,0.00009987214,0.93338126,0.00007344716,0.000099705496,0.00021452445,0.0005711731,0.010376397,0.006697177,0.00024260495,0.048141964,0.000029893881],"about_ca_topic_score_codex":0.03276231,"about_ca_topic_score_gemma":0.05746064,"teacher_disagreement_score":0.03276231,"about_ca_system_score_codex":0.00017547398,"about_ca_system_score_gemma":0.00041337166,"threshold_uncertainty_score":0.06514323},"labels":[],"label_agreement":null},{"id":"W4294931222","doi":"10.5194/essd-14-4095-2022","title":"A high spatial resolution soil carbon and nitrogen dataset for the northern permafrost region based on circumpolar land cover upscaling","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Northwest Territories","funders":"Horizon 2020; Natural Environment Research Council; Sight Research UK; Vetenskapsrådet; European Space Agency; UK Research and Innovation","keywords":"Permafrost; Environmental science; Soil carbon; Soil water; Land cover; Soil map; Carbon cycle; Northern Hemisphere; Soil organic matter; Carbon sink; Soil science; Land use; Climate change; Physical geography; Earth science; Atmospheric sciences; Geology; Ecosystem; Geography; Ecology","score_opus":0.05304307997075372,"score_gpt":0.2424552913968309,"score_spread":0.18941221142607717,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4294931222","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":[0.14958486,0.0003766176,0.0009812835,0.00010574591,0.000034560093,0.000054888096,0.84584403,0.0010048941,0.0020131858],"genre_scores_gemma":[0.07324785,0.0001424614,0.0031141504,0.000036959198,0.00002112441,0.00009936497,0.9228543,0.00006467973,0.00041915785],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.999744,0.00003357516,0.000023618797,0.000089927744,0.00007106628,0.00003785408],"domain_scores_gemma":[0.9993813,0.000062914034,0.000098899814,0.00012915868,0.00022319409,0.000104617146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040516088,0.0006801426,0.00052825955,0.00214323,0.00044341708,0.0006429208,0.00077908166,0.00053421984,0.003117537],"category_scores_gemma":[0.00066300726,0.00022695116,0.0007055565,0.003803401,0.00025213792,0.00035157215,0.0006283937,0.0004907652,0.0019893441],"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":[0.0009308143,0.0007113721,0.5119143,0.0017219196,0.0013426613,0.0015359155,0.00090077915,0.043304034,0.015509165,0.001539294,0.3394684,0.081121296],"study_design_scores_gemma":[0.00028609874,0.00007076174,0.837586,0.00016790013,0.00015441215,0.00021831391,0.00061391393,0.027574329,0.003726879,0.0006259814,0.12890485,0.00007066679],"about_ca_topic_score_codex":0.066691265,"about_ca_topic_score_gemma":0.09988372,"teacher_disagreement_score":0.066691265,"about_ca_system_score_codex":0.00055722694,"about_ca_system_score_gemma":0.00083855615,"threshold_uncertainty_score":0.13260621},"labels":[],"label_agreement":null},{"id":"W4296060440","doi":"10.5194/essd-14-4231-2022","title":"High-resolution streamflow and weather data (2013–2019) for seven small coastal watersheds in the northeast Pacific coastal temperate rainforest, Canada","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary 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":true,"ca_institutions":"Simon Fraser University; Ministry of Forests; Vancouver Island University; McGill University; Tula Foundation","funders":"Hakai Institute; Environment and Climate Change Canada; Ministry of Forests, Lands and Natural Resource Operations; Tula Foundation","keywords":"Streamflow; Hydrometeorology; Environmental science; Surface runoff; Watershed; Precipitation; Hydrology (agriculture); Climatology; Drainage basin; Meteorology; Geography; Geology; Ecology","score_opus":0.036208445363829195,"score_gpt":0.21115086843472294,"score_spread":0.17494242307089375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296060440","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9396883,0.000235075,0.00046459836,0.00018886087,0.000018998186,0.000089498055,0.056366116,0.00012555903,0.0028230515],"genre_scores_gemma":[0.92054945,0.0003266045,0.002267713,0.0000985073,0.000013202573,0.00009596675,0.07419288,0.000027950513,0.002427768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968314,0.000009369195,0.000022110287,0.0000753684,0.00011711287,0.00009287195],"domain_scores_gemma":[0.9986992,0.000044229597,0.000103629325,0.000051219085,0.0008311463,0.00027062045],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003549065,0.00042467244,0.00031966405,0.0015763921,0.0015155842,0.0009558726,0.0006895077,0.00029500521,0.001416875],"category_scores_gemma":[0.0008526845,0.00019910697,0.00037455294,0.0041338797,0.0005036802,0.00034660517,0.0006468636,0.000407775,0.00027473978],"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":[0.00023713148,0.00021310744,0.94496644,0.00012588855,0.0002500994,0.0004798502,0.00084655674,0.004396319,0.0032837016,0.00032898906,0.015824672,0.029047225],"study_design_scores_gemma":[0.000021812697,0.000016757998,0.98804307,0.000027828208,0.000036201214,0.000034861176,0.0008675648,0.0041988096,0.000632576,0.000042404998,0.0060578296,0.000020225922],"about_ca_topic_score_codex":0.9852245,"about_ca_topic_score_gemma":0.9945621,"teacher_disagreement_score":0.014775515,"about_ca_system_score_codex":0.013042495,"about_ca_system_score_gemma":0.018046232,"threshold_uncertainty_score":0.09463036},"labels":[],"label_agreement":null},{"id":"W4296629382","doi":"10.5194/essd-14-4315-2022","title":"A global marine particle size distribution dataset obtained with the Underwater Vision Profiler 5","year":2022,"lang":"en","type":"article","venue":"Earth system science data","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; Université Laval","funders":"Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; National Kidney Foundation of South Africa; European Commission; Deutsche Forschungsgemeinschaft; Agence Nationale de la Recherche; National Aeronautics and Space Administration; National Science Foundation","keywords":"Range (aeronautics); Particle-size distribution; Environmental science; Oceanic basin; Particle (ecology); Oceanography; Latitude; Underwater; Zooplankton; Geology; Particle size; Geodesy; Geomorphology; Structural basin","score_opus":0.015122515051754356,"score_gpt":0.22652496144143439,"score_spread":0.21140244638968003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4296629382","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":[0.08179929,0.00040478795,0.0057493164,0.0001410803,0.00012488631,0.00024957128,0.9026058,0.0044513727,0.004473846],"genre_scores_gemma":[0.044527207,0.000112616464,0.009982558,0.00005815893,0.0000255753,0.00022861289,0.944047,0.00013012982,0.00088815374],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992698,0.000052265612,0.00008246715,0.00020950234,0.0003103256,0.00007569387],"domain_scores_gemma":[0.9990565,0.00008048701,0.000117742304,0.00016858104,0.00050081994,0.00007577173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049125595,0.001288469,0.0008966095,0.0023627721,0.0003570343,0.00061359024,0.0010580078,0.0008555611,0.0021976503],"category_scores_gemma":[0.0014025231,0.00029411414,0.0008571984,0.0019839732,0.00019595101,0.0006700726,0.00109316,0.0007853889,0.0049606655],"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":[0.0008464299,0.00069692783,0.16654809,0.0022559348,0.0009276889,0.0010711863,0.0003365007,0.01442986,0.034736577,0.0010836467,0.58401054,0.19305669],"study_design_scores_gemma":[0.0002488954,0.00030698185,0.7061203,0.00033091177,0.00015386325,0.00051296165,0.00041083666,0.051908728,0.017203052,0.0008469641,0.22175573,0.00020086353],"about_ca_topic_score_codex":0.015047752,"about_ca_topic_score_gemma":0.02387401,"teacher_disagreement_score":0.015047752,"about_ca_system_score_codex":0.0004980082,"about_ca_system_score_gemma":0.0006334839,"threshold_uncertainty_score":0.02992034},"labels":[],"label_agreement":null},{"id":"W4297826356","doi":"10.5194/essd-14-4077-2022","title":"Global datasets of leaf photosynthetic capacity for ecological and earth system research","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":81,"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; University of Toronto","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Photosynthesis; Satellite; Photosynthetic capacity; Atmospheric sciences; Environmental science; Mathematics; Botany; Physics; Biology","score_opus":0.06897073284752128,"score_gpt":0.2981095917566041,"score_spread":0.22913885890908284,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297826356","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":[0.16562493,0.0011536272,0.027552534,0.0005485852,0.00012051203,0.00018806207,0.7896577,0.004290623,0.010863494],"genre_scores_gemma":[0.30009642,0.0005094881,0.037719645,0.00018365972,0.000048620914,0.00052465935,0.6592743,0.00038210102,0.0012611095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99950755,0.0001063259,0.000047459416,0.0001574937,0.00013364838,0.00004757724],"domain_scores_gemma":[0.9986602,0.00016811238,0.00024255326,0.00047550668,0.0003701961,0.000083391606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010359564,0.0008283305,0.00054605684,0.002148205,0.0002619994,0.00055622857,0.0005992268,0.0006887528,0.003991914],"category_scores_gemma":[0.002118006,0.00025451407,0.00077431294,0.00636278,0.00019168208,0.00083312555,0.0009898593,0.0006320959,0.0020875202],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064773037,0.0004950647,0.341852,0.002837828,0.0027091762,0.00029441642,0.0004123018,0.13036577,0.049863853,0.010218021,0.19170417,0.26859963],"study_design_scores_gemma":[0.00020797669,0.000107420696,0.74080473,0.0001933213,0.00031859166,0.0001604929,0.00031876608,0.055458788,0.013929093,0.006249088,0.18212518,0.00012657541],"about_ca_topic_score_codex":0.012078454,"about_ca_topic_score_gemma":0.010642094,"teacher_disagreement_score":0.012078454,"about_ca_system_score_codex":0.00052787043,"about_ca_system_score_gemma":0.000814303,"threshold_uncertainty_score":0.02401632},"labels":[],"label_agreement":null},{"id":"W4306870978","doi":"10.5194/essd-14-4607-2022","title":"The Green Edge cruise: investigating the marginal ice zone processes during late spring and early summer to understand the fate of the Arctic phytoplankton bloom","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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":true,"ca_institutions":"McGill University; University of Calgary; University of Manitoba; Fisheries and Oceans Canada; Université du Québec à Rimouski; Université Laval","funders":"Fisheries and Oceans Canada; Centre National d’Etudes Spatiales; Canada Excellence Research Chairs, Government of Canada; Agence Nationale de la Recherche; ArcticNet; Canadian Space Agency; Université Laval","keywords":"Cruise; Spring (device); Oceanography; Spring bloom; Arctic; Environmental science; Phytoplankton; Bloom; The arctic; Geology; Climatology; Nutrient; Ecology","score_opus":0.03128807697496821,"score_gpt":0.22384753929158496,"score_spread":0.19255946231661675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306870978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86261886,0.0006544395,0.0017670244,0.00036733705,0.00012087692,0.00018429333,0.1237851,0.0004834616,0.01001866],"genre_scores_gemma":[0.7001388,0.00051427964,0.014441628,0.00020316726,0.00009202649,0.00037775756,0.27851063,0.00025407682,0.0054676514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99972135,0.000029170084,0.0000106465895,0.000068897694,0.000103248516,0.00006672083],"domain_scores_gemma":[0.99948657,0.00004731394,0.00005480255,0.000049304068,0.00024189267,0.00012010662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046762326,0.00050594483,0.0003296008,0.0012567162,0.0007056631,0.00061235117,0.00052440487,0.00041527263,0.001306567],"category_scores_gemma":[0.0007764853,0.00017146442,0.00043123052,0.0011287072,0.00027377778,0.00039650468,0.0008458816,0.00039377747,0.0007934062],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001304919,0.00052646926,0.8049137,0.0006292467,0.0004919472,0.0010422606,0.0025582407,0.01091441,0.01852654,0.0010001345,0.10425452,0.053837642],"study_design_scores_gemma":[0.000083453335,0.000107774285,0.9511603,0.0001311536,0.000055379183,0.00008726538,0.0018593494,0.0078081894,0.0021017604,0.00022758664,0.036326908,0.000050877763],"about_ca_topic_score_codex":0.29744092,"about_ca_topic_score_gemma":0.56450677,"teacher_disagreement_score":0.29744092,"about_ca_system_score_codex":0.001021132,"about_ca_system_score_gemma":0.001787632,"threshold_uncertainty_score":0.5914192},"labels":[],"label_agreement":null},{"id":"W4306973272","doi":"10.5194/essd-14-4667-2022","title":"The Surface Water Chemistry (SWatCh) database: a standardized global database of water chemistry to facilitate large-sample hydrological research","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Groundwater and Isotope Geochemistry","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":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Database; Geospatial analysis; Water quality; Agency (philosophy); Sample (material); Environmental science; Surface water; Sampling (signal processing); Computer science; Environmental monitoring; Environmental resource management; Hydrology (agriculture); Geography; Chemistry; Cartography; Ecology; Geology","score_opus":0.07511704875535746,"score_gpt":0.2938377037017793,"score_spread":0.21872065494642184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306973272","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":[0.0054644556,0.00023740664,0.0067279036,0.00017222422,0.000052567164,0.0001426915,0.9790766,0.0047866968,0.0033394098],"genre_scores_gemma":[0.016551923,0.00027803137,0.022377275,0.00019969381,0.00003311687,0.00043906187,0.9575505,0.001472084,0.0010982709],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99854076,0.0001907207,0.00038520378,0.0003710269,0.00041171283,0.00010054436],"domain_scores_gemma":[0.99486107,0.00074449874,0.0008120062,0.0011229091,0.0020349592,0.0004244365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002212121,0.0008206884,0.0012876918,0.0048622396,0.0003925811,0.0015141972,0.0019367759,0.00072097237,0.012908632],"category_scores_gemma":[0.0067381347,0.0005124408,0.00082974765,0.008706441,0.00030016672,0.0021628612,0.0025162976,0.0010785152,0.009296265],"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":[0.0002988906,0.00013842399,0.048189957,0.0027316036,0.00054115336,0.00013778073,0.00040795005,0.003729547,0.004597615,0.0057693967,0.87563586,0.057821825],"study_design_scores_gemma":[0.0003656017,0.000047806756,0.0900433,0.00048559834,0.00020762406,0.000106074745,0.00040350494,0.009171013,0.0060170586,0.008152595,0.884842,0.0001578364],"about_ca_topic_score_codex":0.027904967,"about_ca_topic_score_gemma":0.031581163,"teacher_disagreement_score":0.027904967,"about_ca_system_score_codex":0.00087619835,"about_ca_system_score_gemma":0.003835053,"threshold_uncertainty_score":0.05548507},"labels":[],"label_agreement":null},{"id":"W4308587986","doi":"10.5194/essd-14-4923-2022","title":"The polar mesospheric cloud dataset of the Balloon Lidar Experiment (BOLIDE)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Lidar; Geology; Gravity wave; Remote sensing; Gravitational wave; Physics; Meteorology; Environmental science; Astronomy","score_opus":0.011879743470149176,"score_gpt":0.24205078313012277,"score_spread":0.2301710396599736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308587986","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":[0.043645255,0.00068769406,0.0007968536,0.00026935813,0.00019918643,0.00006939799,0.95071006,0.0013118437,0.0023103869],"genre_scores_gemma":[0.025309619,0.00011757466,0.0015124604,0.000060720893,0.000048613372,0.00006600431,0.97235525,0.00008021696,0.00044945805],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99962044,0.00004741487,0.000027308686,0.00011584457,0.00012399316,0.00006497027],"domain_scores_gemma":[0.9994481,0.000059944487,0.00006142207,0.00013678771,0.00021198545,0.000081693855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045619067,0.0009975159,0.00067364844,0.0013191792,0.0005077423,0.0009001216,0.00093710923,0.0008557429,0.0034456553],"category_scores_gemma":[0.0010707424,0.0002441688,0.00065930287,0.0017541929,0.00023670091,0.00071720843,0.0010839842,0.00086543243,0.0050714137],"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":[0.0010318953,0.00044160237,0.10208749,0.0012023727,0.0007970379,0.00069443305,0.00029660837,0.011079962,0.0088560525,0.0016759522,0.84045255,0.03138417],"study_design_scores_gemma":[0.00094817067,0.00020926006,0.3236069,0.0005220619,0.00024465445,0.00057784887,0.0009477765,0.04293154,0.0088810595,0.002619754,0.6183216,0.00018944668],"about_ca_topic_score_codex":0.014415339,"about_ca_topic_score_gemma":0.025328625,"teacher_disagreement_score":0.014415339,"about_ca_system_score_codex":0.00045378742,"about_ca_system_score_gemma":0.00066088035,"threshold_uncertainty_score":0.02866286},"labels":[],"label_agreement":null},{"id":"W4308697725","doi":"10.5194/essd-14-4811-2022","title":"Global Carbon Budget 2022","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1810,"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; Environment and Climate Change Canada","funders":"Fondation BNP Paribas; Institut national des sciences de l'Univers; National Oceanic and Atmospheric Administration; European Centre for Medium-Range Weather Forecasts; Prince Albert II of Monaco Foundation; Helmholtz Association; Universität Bremen; Fonds Wetenschappelijk Onderzoek; Chinese Academy of Sciences; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Deutsche Forschungsgemeinschaft; Ministry of the Environment, Government of Japan; Sight Research UK; University of East Anglia; Flotte Océanographique Française; Horizon 2020 Framework Programme; Svenska Forskningsrådet Formas; Tula Foundation; National Science Foundation; UK Research and Innovation; Bureau of Indian Affairs; Royal Society; European Space Agency; China Association for Science and Technology; Tsinghua Shenzhen International Graduate School; Marine Institute; Institut Français de Recherche pour l'Exploitation de la Mer; U.S. Department of Energy; Meteorological Research Institute, Japan Meteorological Agency; National Natural Science Foundation of China; Sorbonne Université; Institut Polaire Français Paul Emile Victor; Institut de Recherche pour le Développement; National Aeronautics and Space Administration; Natural Environment Research Council; Norges Forskningsråd; U.S. Environmental Protection Agency; National Center for Atmospheric Research; Sveriges Meteorologiska och Hydrologiska Institut","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climate change; Sink (geography); Global change; Atmospheric sciences; Biogeochemistry; Climatology; Global warming; Oceanography; Ecosystem; Geology; Ecology; Geography","score_opus":0.009840645609978674,"score_gpt":0.2168099670164092,"score_spread":0.20696932140643054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308697725","genre_codex":"other","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0044721677,0.031201059,0.009225148,0.032782085,0.017247064,0.0005512308,0.2293589,0.0033909215,0.67177147],"genre_scores_gemma":[0.07922045,0.050332163,0.025344493,0.017643897,0.0033462963,0.0036807207,0.2873644,0.0022734036,0.53079426],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994649,0.00008387523,0.000026166654,0.00009094192,0.00022372381,0.00011025254],"domain_scores_gemma":[0.99945337,0.00003536001,0.00003834492,0.00004954536,0.00035282274,0.0000705884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014414584,0.0022514947,0.00087170536,0.0018200827,0.0007268626,0.0030203345,0.000978598,0.0023766728,0.13281949],"category_scores_gemma":[0.0015821349,0.0004301229,0.0006647998,0.0036856602,0.00050661905,0.0027549015,0.0017875215,0.0020557393,0.08808044],"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":[0.00021541577,0.000042802218,0.0010022504,0.0010156776,0.00008277809,0.000110758025,0.000044604825,0.0012581531,0.0016352212,0.029993283,0.71518546,0.24941345],"study_design_scores_gemma":[0.00001819773,0.000014476128,0.0006174832,0.0001592656,0.0000095795585,0.00002934847,0.000022922577,0.00018799282,0.00020302403,0.0035197495,0.99521035,0.000007634861],"about_ca_topic_score_codex":0.022771668,"about_ca_topic_score_gemma":0.011508393,"teacher_disagreement_score":0.13281949,"about_ca_system_score_codex":0.0031603558,"about_ca_system_score_gemma":0.006533502,"threshold_uncertainty_score":0.44432545},"labels":[],"label_agreement":null},{"id":"W4308936075","doi":"10.5194/essd-14-4995-2022","title":"Enhanced automated meteorological observations at the Canadian Arctic Weather Science (CAWS) supersites","year":2022,"lang":"en","type":"article","venue":"Earth system science data","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Government of Canada; Environment and Climate Change Canada; National Aeronautics and Space Administration","keywords":"Arctic; Radiosonde; Nowcasting; Meteorology; Environmental science; Climatology; The arctic; Numerical weather prediction; Climate change; Storm; Weather forecasting; Computer science; Geography; Geology; Oceanography","score_opus":0.027914473792760665,"score_gpt":0.22749661729190404,"score_spread":0.19958214349914338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308936075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7496355,0.0007778752,0.011497671,0.0018852294,0.0006379434,0.000773476,0.13574378,0.0032818054,0.095766656],"genre_scores_gemma":[0.84927374,0.00050064846,0.028167844,0.00031835615,0.00012738946,0.00028371526,0.104173236,0.00028700827,0.016868114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868935,0.0000680619,0.000028058028,0.00019130728,0.0007877835,0.00023539436],"domain_scores_gemma":[0.99668026,0.000095978576,0.00011797114,0.00016403072,0.0025749234,0.0003668734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009859664,0.00066319434,0.0003321328,0.0016699345,0.0023085745,0.0011768955,0.0009234366,0.00041326057,0.0035043377],"category_scores_gemma":[0.0014829147,0.00024712775,0.00046531818,0.0020858124,0.00036458796,0.0004878932,0.0008627072,0.00097314967,0.00087446935],"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":[0.0014857452,0.0005257134,0.5180872,0.0005204744,0.00053950143,0.0010034951,0.0029801335,0.041883893,0.039173152,0.0037452108,0.22608036,0.16397507],"study_design_scores_gemma":[0.00021626602,0.00013409951,0.7844906,0.00013971816,0.00013593095,0.00006982614,0.0014696465,0.08516955,0.009707227,0.00033283548,0.11796847,0.00016589032],"about_ca_topic_score_codex":0.97031265,"about_ca_topic_score_gemma":0.98765415,"teacher_disagreement_score":0.029687345,"about_ca_system_score_codex":0.00718485,"about_ca_system_score_gemma":0.028252548,"threshold_uncertainty_score":0.05972433},"labels":[],"label_agreement":null},{"id":"W4308939035","doi":"10.5194/essd-14-4967-2022","title":"SiDroForest: a comprehensive forest inventory of Siberian boreal forest investigations including drone-based point clouds, individually labeled trees, synthetically generated tree crowns, and Sentinel-2 labeled image patches","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Remote Sensing and LiDAR Applications","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":"Carleton University","funders":"","keywords":"Point cloud; Vegetation (pathology); Taiga; Forest inventory; Tundra; Digital elevation model; Remote sensing; Shapefile; Physical geography; Environmental science; Geography; Forestry; Ecology; Computer science; Arctic; Forest management; Artificial intelligence","score_opus":0.03586684520124925,"score_gpt":0.25646997297917196,"score_spread":0.2206031277779227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308939035","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":[0.31820595,0.000693189,0.0038788528,0.00010673078,0.00006183499,0.00015526956,0.66950244,0.0020364546,0.00535925],"genre_scores_gemma":[0.19261505,0.00026732776,0.0089503415,0.00004933617,0.00002220691,0.00016824515,0.7968089,0.000120498946,0.0009980868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977845,0.00003058926,0.000023801751,0.00007341943,0.000060181716,0.000033472825],"domain_scores_gemma":[0.9995728,0.00003233941,0.00007074059,0.00010695098,0.00013717267,0.00007996497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045555056,0.00073086686,0.00037194826,0.0024004322,0.0003636979,0.0005297339,0.0004970374,0.0002827613,0.0035581647],"category_scores_gemma":[0.00064759696,0.00020418836,0.00040289658,0.0025068985,0.00019721623,0.00060242787,0.00059332774,0.00030556356,0.0016485639],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009726272,0.00064215955,0.5411497,0.0014455924,0.0010780909,0.0009985166,0.000759275,0.022312844,0.022940008,0.0013746085,0.20571442,0.2006122],"study_design_scores_gemma":[0.000108614935,0.000105039944,0.8952385,0.00021783636,0.00012020743,0.00035604095,0.0006169144,0.023953544,0.0045332317,0.0006041473,0.074062005,0.000083887266],"about_ca_topic_score_codex":0.038788643,"about_ca_topic_score_gemma":0.063287005,"teacher_disagreement_score":0.038788643,"about_ca_system_score_codex":0.0005122242,"about_ca_system_score_gemma":0.00090458937,"threshold_uncertainty_score":0.07712573},"labels":[],"label_agreement":null},{"id":"W4309493448","doi":"10.5194/essd-14-5061-2022","title":"In situ observations of the Swiss periglacial environment using GNSS instruments","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"Carleton University","funders":"","keywords":"GNSS applications; Geodetic datum; Geology; Glacier; Landform; Inclinometer; Landslide; Natural hazard; Remote sensing; GNSS augmentation; Climate change; Geodesy; Meteorology; Global Positioning System; Computer science; Seismology; Geography; Geomorphology","score_opus":0.08202630432105681,"score_gpt":0.2445176976181128,"score_spread":0.16249139329705597,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309493448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9374272,0.0003650428,0.0041069766,0.000076926066,0.000050387174,0.000036497095,0.050167684,0.0007012248,0.007067998],"genre_scores_gemma":[0.93354225,0.00030041876,0.0033940817,0.0000217134,0.00004059736,0.000040914325,0.060977783,0.000046949233,0.0016352322],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998702,0.00000991572,0.00000529557,0.000030550786,0.000064365144,0.000019678506],"domain_scores_gemma":[0.999828,0.00001511002,0.00003716035,0.000036024947,0.00006171026,0.00002194743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009682819,0.0003896224,0.00012025487,0.0012285116,0.00023568864,0.0004022064,0.00014483159,0.00017103694,0.001598483],"category_scores_gemma":[0.00019200676,0.000073586074,0.00021442253,0.0017305095,0.00014323978,0.00019795568,0.00029973377,0.000168632,0.00070333504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006080688,0.00020491371,0.62374294,0.00059716066,0.00055250037,0.00095133646,0.0011371677,0.08937886,0.12229343,0.00092760404,0.022825021,0.13678099],"study_design_scores_gemma":[0.000028380724,0.00007752664,0.9543748,0.00004066685,0.000049378286,0.00012913918,0.00022232874,0.020520993,0.007269798,0.00015463043,0.017097848,0.000034617675],"about_ca_topic_score_codex":0.028809246,"about_ca_topic_score_gemma":0.06796455,"teacher_disagreement_score":0.028809246,"about_ca_system_score_codex":0.00032008183,"about_ca_system_score_gemma":0.00033115834,"threshold_uncertainty_score":0.057283103},"labels":[],"label_agreement":null},{"id":"W4309558055","doi":"10.5194/essd-14-5139-2022","title":"Rates and timing of chlorophyll- <i>a</i> increases and related environmental variables in global temperate and cold-temperate lakes","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","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":false,"ca_institutions":"Wilfrid Laurier University; University of Waterloo","funders":"Global Water Futures; Canada First Research Excellence Fund","keywords":"Temperate climate; Environmental science; Productivity; Phenology; Northern Hemisphere; Climate change; Chlorophyll a; Physical geography; Ecosystem; Climatology; Atmospheric sciences; Ecology; Geography; Biology; Geology","score_opus":0.01130126497289524,"score_gpt":0.19893368402585387,"score_spread":0.18763241905295863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309558055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7521249,0.00046404306,0.00039292595,0.00031011127,0.000029335248,0.000016371447,0.2438952,0.0001659413,0.0026011223],"genre_scores_gemma":[0.73902905,0.00031309066,0.0010006229,0.000107764194,0.000026007801,0.00009143525,0.25820747,0.00005551861,0.0011690934],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976605,0.00003738236,0.000029010174,0.00008787215,0.00004145572,0.000038231177],"domain_scores_gemma":[0.9990828,0.00017903691,0.00034459095,0.000086439315,0.00024016303,0.00006704543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047939413,0.00017704436,0.00015782195,0.001289343,0.00016539551,0.00046122033,0.00027017813,0.0002287301,0.0018914012],"category_scores_gemma":[0.0017421243,0.00012166562,0.0002695714,0.002727591,0.00015580279,0.00036672797,0.00063819165,0.0002994941,0.0005164133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014770319,0.000031694475,0.95975125,0.00018500548,0.00013826834,0.00006863363,0.00035559846,0.0017179465,0.0011830301,0.00044696697,0.026687978,0.009285882],"study_design_scores_gemma":[0.000009760677,0.0000069803264,0.99166054,0.000024542458,0.000016348677,0.000022566875,0.00017318779,0.0010293071,0.00024610723,0.000062288644,0.0067407666,0.000007658775],"about_ca_topic_score_codex":0.04435898,"about_ca_topic_score_gemma":0.05777391,"teacher_disagreement_score":0.04435898,"about_ca_system_score_codex":0.0005167501,"about_ca_system_score_gemma":0.00035117185,"threshold_uncertainty_score":0.08820152},"labels":[],"label_agreement":null},{"id":"W4309574511","doi":"10.5194/essd-14-5157-2022","title":"Harmonized gap-filled datasets from 20 urban flux tower sites","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":59,"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":"HORIZON EUROPE European Research Council; National Cancer Institute; British Columbia Knowledge Development Fund; Japan Society for the Promotion of Science; Natural Environment Research Council; Engineering and Physical Sciences Research Council; Earth Sciences Division; Climate Extremes; Uniwersytet Łódzki; U.S. Forest Service; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Research Foundation of Korea; U.S. Department of Agriculture; BC Hydro; University of New South Wales; Ministry of Education - Singapore; Korea Meteorological Administration; Canadian Foundation for Climate and Atmospheric Sciences; National Research Foundation; Met Office; Natural Sciences and Engineering Research Council of Canada; National Institute of Ecology; Sight Research UK; National Aeronautics and Space Administration; Environmental Restoration and Conservation Agency; National Computational Infrastructure; Centre National de la Recherche Scientifique; University of Reading; National Science Foundation","keywords":"Environmental science; Terrain; Wind speed; Diurnal cycle; Meteorology; Shortwave radiation; Land cover; Atmospheric sciences; Climatology; Land use; Geography; Radiation; Geology; Cartography; Physics","score_opus":0.040958763409008066,"score_gpt":0.24738002240027576,"score_spread":0.2064212589912677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309574511","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":[0.055474345,0.00020364701,0.0060114814,0.00015447354,0.00016401993,0.00018050832,0.92821914,0.0020478966,0.0075444067],"genre_scores_gemma":[0.040118806,0.00007162595,0.007469836,0.000061540086,0.00003286918,0.00039548782,0.94957155,0.00035839286,0.0019200126],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99924976,0.000109090994,0.00007721211,0.00021510759,0.00024040346,0.00010848572],"domain_scores_gemma":[0.9986135,0.00014125396,0.00013129166,0.00041037623,0.00057523226,0.00012832994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001273138,0.00065287,0.000708397,0.0024976814,0.0005341809,0.00084584765,0.0010667909,0.00084314396,0.0118723875],"category_scores_gemma":[0.0021017122,0.00032853446,0.00076625665,0.004014804,0.00029076508,0.0009974693,0.0011589582,0.00057899253,0.008021084],"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":[0.0012614775,0.0006770767,0.10791577,0.0023151957,0.00059110334,0.00051318837,0.0013552916,0.025666615,0.01072536,0.0055835983,0.7221877,0.12120765],"study_design_scores_gemma":[0.00041434026,0.0001159533,0.3778396,0.00037959553,0.00014902776,0.00020879818,0.0009367944,0.014024064,0.006136168,0.001968162,0.59764665,0.00018081265],"about_ca_topic_score_codex":0.026003893,"about_ca_topic_score_gemma":0.039450318,"teacher_disagreement_score":0.026003893,"about_ca_system_score_codex":0.0007067713,"about_ca_system_score_gemma":0.0010423815,"threshold_uncertainty_score":0.051705062},"labels":[],"label_agreement":null},{"id":"W4310382985","doi":"10.5194/essd-14-5253-2022","title":"The hourly wind-bias-adjusted precipitation data set from the Environment and Climate Change Canada automated surface observation network (2001–2019)","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Environmental science; Precipitation; Snow; Climate change; Meteorology; Climatology; Geography; Geology","score_opus":0.1216794184843747,"score_gpt":0.2428974733595361,"score_spread":0.1212180548751614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310382985","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":[0.016359556,0.00011041611,0.0004078827,0.000110033696,0.000059337955,0.0000591321,0.9797845,0.0002650281,0.0028441274],"genre_scores_gemma":[0.021176133,0.000107619395,0.0011272056,0.000052237396,0.000012465372,0.000071645954,0.97488517,0.00006187498,0.0025057804],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.998762,0.000051423765,0.000079924794,0.0001562634,0.00079213816,0.00015829338],"domain_scores_gemma":[0.9918468,0.00015804426,0.00034323573,0.00037717115,0.0069647967,0.00030990198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008252442,0.0007995386,0.0005902194,0.0027138328,0.0012790291,0.0011158383,0.0014608067,0.00042405695,0.00447946],"category_scores_gemma":[0.003317666,0.00033163128,0.0004568325,0.0090795485,0.0003331174,0.0004946695,0.0006861737,0.0009020594,0.0030360653],"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":[0.0006948588,0.0001878972,0.10320916,0.0007082306,0.00037783643,0.00019503034,0.00027163638,0.012337434,0.001808375,0.0016402828,0.8464412,0.032127984],"study_design_scores_gemma":[0.00020524813,0.000041285268,0.63567036,0.00016435549,0.00006966627,0.0000756394,0.00032226305,0.009711592,0.0030880305,0.00033472988,0.35020223,0.00011455046],"about_ca_topic_score_codex":0.97741485,"about_ca_topic_score_gemma":0.9803202,"teacher_disagreement_score":0.022585154,"about_ca_system_score_codex":0.010172673,"about_ca_system_score_gemma":0.023053035,"threshold_uncertainty_score":0.07380831},"labels":[],"label_agreement":null},{"id":"W4311621363","doi":"10.5194/essd-14-5543-2022","title":"GLODAPv2.2022: the latest version of the global interior ocean biogeochemical data product","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","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":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"NOAA Pacific Marine Environmental Laboratory; Global Ocean Monitoring and Observing Program; Horizon 2020; Ocean Acidification Program; Natural Environment Research Council; Svenska Forskningsrådet Formas; Cooperative Institute for Marine and Atmospheric Studies, University of Miami; Helmholtz Association; Sight Research UK; National Science Foundation","keywords":"Environmental science; Alkalinity; Biogeochemical cycle; Seawater; Oceanography; Data quality; Meteorology; Chemistry; Environmental chemistry; Geology; Geography; Engineering","score_opus":0.022757023190176452,"score_gpt":0.22349891855181,"score_spread":0.20074189536163356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311621363","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":[0.0006873509,0.000076320335,0.001005858,0.00011491618,0.00009841214,0.000040655294,0.99347794,0.0025536357,0.0019448614],"genre_scores_gemma":[0.0017356396,0.00006699699,0.002359259,0.00008959008,0.000022243472,0.00016696977,0.9934743,0.0011156712,0.00096931704],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981949,0.00019716664,0.00032684812,0.00033246065,0.00071914203,0.00022949469],"domain_scores_gemma":[0.9936964,0.0007971438,0.0006925503,0.0011468474,0.0030919763,0.0005751218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028287168,0.002132821,0.0014657165,0.0047716587,0.00054172083,0.002519723,0.0025436142,0.0015539009,0.028711572],"category_scores_gemma":[0.008778503,0.0013184274,0.0014879786,0.010714547,0.00035167488,0.0033040612,0.002910209,0.0018752365,0.0444373],"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":[0.00040706975,0.000043910863,0.009126217,0.0013763509,0.00017903256,0.00013892897,0.000110344314,0.001999549,0.0021266718,0.0013020717,0.9546848,0.028504988],"study_design_scores_gemma":[0.00023326656,0.000032173393,0.019950673,0.00025782682,0.000051798386,0.000075372394,0.000085192216,0.001306766,0.001972505,0.0012746518,0.9746494,0.00011042201],"about_ca_topic_score_codex":0.045425348,"about_ca_topic_score_gemma":0.021214519,"teacher_disagreement_score":0.045425348,"about_ca_system_score_codex":0.0013196706,"about_ca_system_score_gemma":0.0050434205,"threshold_uncertainty_score":0.096049845},"labels":[],"label_agreement":null},{"id":"W4311783148","doi":"10.5194/essd-14-5489-2022","title":"Landsat- and Sentinel-derived glacial lake dataset in the China–Pakistan Economic Corridor from 1990 to 2020","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","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":"University of Calgary","funders":"National Natural Science Foundation of China","keywords":"Glacial period; Glacial lake; Physical geography; Glacier; Geology; Satellite imagery; Remote sensing; Hydrology (agriculture); Geography; Geomorphology","score_opus":0.02692065836754576,"score_gpt":0.2506831541392418,"score_spread":0.22376249577169605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311783148","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51475906,0.00038711296,0.0006712682,0.00021932654,0.00004626572,0.000071388735,0.48096797,0.00031939667,0.0025581312],"genre_scores_gemma":[0.38894114,0.00023624122,0.0021003676,0.00007922248,0.000018753788,0.0000980982,0.60757065,0.000019985453,0.0009354961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99974006,0.000021288086,0.00002641882,0.00006910244,0.000068241054,0.00007480383],"domain_scores_gemma":[0.99937576,0.000058403344,0.00011476051,0.00006032563,0.0003028529,0.000088019304],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005279238,0.0005896293,0.00027188592,0.0018754551,0.0003394765,0.0004784135,0.0004946426,0.0003012978,0.0014637553],"category_scores_gemma":[0.0007440399,0.0001652705,0.00036857277,0.0028545558,0.00024304578,0.0005190958,0.0005543148,0.00028212118,0.00057613984],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006662076,0.00025708164,0.81430745,0.00057260547,0.0003816434,0.00080182526,0.00029771667,0.014566904,0.0033275848,0.00064935273,0.115420274,0.04875125],"study_design_scores_gemma":[0.00007648466,0.000059005328,0.95868886,0.000070704504,0.00007601374,0.00013279125,0.00048337784,0.015272378,0.0014790769,0.00013828624,0.023476763,0.000046240773],"about_ca_topic_score_codex":0.18460193,"about_ca_topic_score_gemma":0.20553885,"teacher_disagreement_score":0.18460193,"about_ca_system_score_codex":0.0011982482,"about_ca_system_score_gemma":0.0017383925,"threshold_uncertainty_score":0.36705488},"labels":[],"label_agreement":null},{"id":"W4312117167","doi":"10.5194/essd-14-5737-2022","title":"A compilation of global bio-optical in situ data for ocean colour satellite applications – version three","year":2022,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","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":"Université du Québec à Rimouski","funders":"National Marine Fisheries Service; Office of Polar Programs; Institut national des sciences de l'Univers; Natural Environment Research Council; University of California, San Diego; California Department of Fish and Wildlife; Goddard Space Flight Center; Centre National de la Recherche Scientifique; Bundesministerium für Bildung und Forschung; Sorbonne Université; National Oceanic and Atmospheric Administration; Sight Research UK; Deutsche Forschungsgemeinschaft; Centre National d’Etudes Spatiales; Commonwealth Scientific and Industrial Research Organisation; Fisheries and Oceans Canada; European Commission; National Science Foundation; European Space Agency; National Aeronautics and Space Administration","keywords":"Metadata; Remote sensing; Computer science; Satellite; Environmental science; Data quality; Data set; Geology; Physics; Artificial intelligence","score_opus":0.03932633596976911,"score_gpt":0.2582570774316747,"score_spread":0.21893074146190558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312117167","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":[0.0049854727,0.00026358414,0.008852512,0.00014563039,0.00022588676,0.00017574019,0.9756291,0.0042045177,0.0055175605],"genre_scores_gemma":[0.0065017897,0.00021890449,0.012442384,0.000101130245,0.000040724153,0.00036919955,0.9774251,0.0009072154,0.0019935996],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984041,0.00015760756,0.00031449643,0.00031556413,0.0006958609,0.00011241511],"domain_scores_gemma":[0.9913828,0.00085144397,0.0007685307,0.001775083,0.00484222,0.0003798968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021658146,0.0012015302,0.0007324978,0.0059205554,0.0004313475,0.0015072046,0.0012612927,0.0005274372,0.013580867],"category_scores_gemma":[0.004561307,0.0006030265,0.0010449596,0.0075651812,0.0002507085,0.0012867821,0.0015923262,0.0010865524,0.01707781],"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":[0.00047550377,0.00022031939,0.038406756,0.0029500118,0.0005229412,0.0003698681,0.00036598564,0.008043139,0.022096148,0.0032571794,0.7153502,0.20794189],"study_design_scores_gemma":[0.00008126753,0.00007180662,0.07784385,0.00037180437,0.00013020431,0.00014372129,0.0001682127,0.0018653823,0.007207863,0.0016927014,0.9102974,0.00012573104],"about_ca_topic_score_codex":0.020640705,"about_ca_topic_score_gemma":0.016564809,"teacher_disagreement_score":0.020640705,"about_ca_system_score_codex":0.0009782428,"about_ca_system_score_gemma":0.0031122747,"threshold_uncertainty_score":0.045432508},"labels":[],"label_agreement":null},{"id":"W4313579995","doi":"10.5194/essd-15-75-2023","title":"Version 2 of the global catalogue of large anthropogenic and volcanic SO <sub>2</sub> sources and emissions derived from satellite measurements","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","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":"Environment and Climate Change Canada","funders":"Earth Sciences Division; Goddard Space Flight Center; National Aeronautics and Space Administration","keywords":"Ozone Monitoring Instrument; Satellite; Environmental science; Emission inventory; Volcano; Total Ozone Mapping Spectrometer; Meteorology; Trace gas; Troposphere; Atmospheric sciences; Remote sensing; Ozone; Geology; Geography; Ozone layer; Air quality index; Physics","score_opus":0.02840399316324305,"score_gpt":0.24129267936550813,"score_spread":0.2128886862022651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313579995","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":[0.01967372,0.00047678128,0.006928912,0.00012823885,0.00012913217,0.00029500577,0.96247935,0.0012351708,0.008653585],"genre_scores_gemma":[0.0140653,0.00029809738,0.0064261593,0.00010661314,0.000040958243,0.00033758278,0.9758419,0.00028504853,0.0025983634],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9992906,0.000066517845,0.00014098409,0.00014576897,0.0002613856,0.00009477951],"domain_scores_gemma":[0.9964858,0.00034963794,0.00051125436,0.0006585586,0.0018217494,0.00017289187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010286949,0.0014802665,0.00088941667,0.00478907,0.00029933028,0.0012653677,0.0011289674,0.00080723315,0.008938753],"category_scores_gemma":[0.002194857,0.0006069552,0.0011513277,0.0070514516,0.00016436372,0.0011841446,0.00095270405,0.000817065,0.00865015],"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":[0.0011258222,0.0001959418,0.15159981,0.0038401885,0.0007180306,0.0005821531,0.00067561603,0.011088781,0.014852473,0.0054013776,0.6333817,0.176538],"study_design_scores_gemma":[0.00015098113,0.00010299554,0.263861,0.00026174582,0.0002453977,0.00034652348,0.000207434,0.0028667226,0.0040624575,0.0012921282,0.72650975,0.000092760674],"about_ca_topic_score_codex":0.031625606,"about_ca_topic_score_gemma":0.031291798,"teacher_disagreement_score":0.031625606,"about_ca_system_score_codex":0.00077486475,"about_ca_system_score_gemma":0.0030761403,"threshold_uncertainty_score":0.06288302},"labels":[],"label_agreement":null},{"id":"W4317622048","doi":"10.5194/essd-15-359-2023","title":"HiTIC-Monthly: a monthly high spatial resolution (1 km) human thermal index collection over China during 2003–2020","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Urban Heat Island Mitigation","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":"Public Health Ontario; University of Toronto","funders":"Basic and Applied Basic Research Foundation of Guangdong Province; National Key Research and Development Program of China; Guangdong Provincial Pearl River Talents Program; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China","keywords":"Environmental science; Population; Climatology; Spatial distribution; Urbanization; Wind speed; Meteorology; Land cover; Impervious surface; Remote sensing; Land use; Geography; Geology","score_opus":0.014395045193132814,"score_gpt":0.22985641049303193,"score_spread":0.21546136529989912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317622048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.73314553,0.00042899215,0.0058746347,0.00024488827,0.00013226918,0.00021827519,0.2560611,0.0011802288,0.0027141224],"genre_scores_gemma":[0.60895115,0.00023282382,0.010990862,0.00010313125,0.00008130345,0.0003472338,0.3775448,0.00008977554,0.0016588799],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996723,0.00005011159,0.000030418514,0.000104085055,0.000088280176,0.000054875494],"domain_scores_gemma":[0.9994466,0.000031041585,0.000077918216,0.00009988708,0.0002483347,0.00009628719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006439709,0.00083983317,0.0004923072,0.0016123918,0.00032508388,0.0004293075,0.00067394035,0.00041529894,0.0011206142],"category_scores_gemma":[0.0006939013,0.00018653765,0.0005351283,0.0024220056,0.0002677451,0.00038947037,0.00055944215,0.00037073987,0.00070443045],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069271243,0.0006093963,0.7068229,0.00080866663,0.0006568159,0.0009854527,0.0006443699,0.05722085,0.013619461,0.00093808677,0.11456608,0.10243521],"study_design_scores_gemma":[0.0000643302,0.00008379924,0.917644,0.00006527381,0.00007904491,0.00015081807,0.00034636387,0.058377463,0.0037146525,0.00021142521,0.019193742,0.000069131835],"about_ca_topic_score_codex":0.07030736,"about_ca_topic_score_gemma":0.10508668,"teacher_disagreement_score":0.07030736,"about_ca_system_score_codex":0.0008258055,"about_ca_system_score_gemma":0.0012135498,"threshold_uncertainty_score":0.13979626},"labels":[],"label_agreement":null},{"id":"W4323355872","doi":"10.5194/essd-15-1059-2023","title":"Pan-Arctic soil element bioavailability estimations","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":"Université de Montréal","funders":"Deutsche Forschungsgemeinschaft","keywords":"Permafrost; Arctic; Biogeochemical cycle; Soil carbon; Environmental science; Soil water; Biogeochemistry; Trace element; Total organic carbon; Environmental chemistry; Soil science; Earth science; Geology; Oceanography; Geochemistry; Chemistry","score_opus":0.11779551160030952,"score_gpt":0.30462017976544115,"score_spread":0.18682466816513163,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323355872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92724895,0.0019771869,0.015343267,0.00005493285,0.000035849404,0.000060781003,0.042597163,0.00087350246,0.011808449],"genre_scores_gemma":[0.91975594,0.002426513,0.03586894,0.00005774686,0.00002414957,0.00012877394,0.038049664,0.00020195982,0.0034863746],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99978644,0.000017621915,0.000014704449,0.00009180716,0.00006269679,0.000026756521],"domain_scores_gemma":[0.99972445,0.000024030387,0.000041391308,0.000015867854,0.00017892037,0.000015414422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040736413,0.00075337436,0.00042219844,0.001607146,0.0006108878,0.0006398753,0.00027609023,0.0002687451,0.0018492417],"category_scores_gemma":[0.0002671869,0.0002101937,0.00045172812,0.0017071799,0.00009346927,0.00036085004,0.00036115717,0.00026128397,0.00082295743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013371465,0.00015148423,0.42539686,0.0014135175,0.001103481,0.00038466358,0.0006235637,0.023066439,0.40815997,0.00075843674,0.004539459,0.13306499],"study_design_scores_gemma":[0.000045601126,0.0001547601,0.79924023,0.00011618621,0.0004070183,0.00029284068,0.00068274635,0.035675507,0.11933785,0.0005056951,0.043468773,0.00007285643],"about_ca_topic_score_codex":0.05236137,"about_ca_topic_score_gemma":0.08525305,"teacher_disagreement_score":0.05236137,"about_ca_system_score_codex":0.0005526248,"about_ca_system_score_gemma":0.0005478606,"threshold_uncertainty_score":0.10411316},"labels":[],"label_agreement":null},{"id":"W4323362488","doi":"10.5194/essd-15-963-2023","title":"National CO <sub>2</sub> budgets (2015–2020) inferred from atmospheric CO <sub>2</sub> observations in support of the global stocktake","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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 Toronto","funders":"Australian Research Council; Pacific Northwest National Laboratory; Canadian Space Agency; Eurostars; Horizon 2020 Framework Programme; National Oceanic and Atmospheric Administration; Jet Propulsion Laboratory; Université de La Réunion; European Commission; California Institute of Technology; Environment and Climate Change Canada; Nuclear Safety and Security Commission; Korea Meteorological Administration; Environmental Restoration and Conservation Agency; National Aeronautics and Space Administration; Universität Bremen; Battelle; Natural Sciences and Engineering Research Council of Canada; European Centre for Medium-Range Weather Forecasts; Grand Équipement National De Calcul Intensif","keywords":"Environmental science; Atmospheric sciences; Greenhouse gas; Terrestrial ecosystem; Fossil fuel; Carbon cycle; Stock (firearms); Climatology; Ecosystem; Geology; Chemistry; Geography; Oceanography; Ecology","score_opus":0.025929932156396777,"score_gpt":0.25752206972484043,"score_spread":0.23159213756844366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323362488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7188046,0.0020851232,0.008655442,0.0021270702,0.00027629297,0.0000814624,0.24498029,0.0006147302,0.022375025],"genre_scores_gemma":[0.85906667,0.00071324914,0.0074972436,0.00032015837,0.00004402713,0.00007731875,0.13090497,0.000083978346,0.0012924292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998129,0.0000341338,0.000016726784,0.000054228498,0.00005363757,0.000028462122],"domain_scores_gemma":[0.9993506,0.000078789584,0.00011925873,0.00011111663,0.00028209793,0.00005813182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093748834,0.00033006273,0.0001806131,0.0007709019,0.00020753751,0.00057945924,0.00036754803,0.00029278718,0.0015952308],"category_scores_gemma":[0.0013254301,0.00018360242,0.0004673227,0.0015224739,0.00018649995,0.0010149833,0.0006362967,0.00037819493,0.00059619325],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006746428,0.00014580229,0.7378403,0.00085074396,0.0013919844,0.0001696711,0.00033047146,0.069744274,0.013078898,0.00796399,0.07684196,0.09096726],"study_design_scores_gemma":[0.000060210597,0.00006992336,0.82086974,0.00029323125,0.00041601984,0.000091344875,0.000476802,0.06735846,0.013105136,0.0024568604,0.094733216,0.000069100155],"about_ca_topic_score_codex":0.08786675,"about_ca_topic_score_gemma":0.10081196,"teacher_disagreement_score":0.08786675,"about_ca_system_score_codex":0.0008303876,"about_ca_system_score_gemma":0.0012438465,"threshold_uncertainty_score":0.17471063},"labels":[],"label_agreement":null},{"id":"W4323838507","doi":"10.5194/essd-15-1093-2023","title":"Harmonising the land-use flux estimates of global models and national inventories for 2000–2020","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":91,"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":"Greenhouse gas; Environmental science; Climate change; Land use, land-use change and forestry; Land use; Carbon sink; Climate model; Vegetation (pathology); Global change; Sink (geography); Environmental resource management; Climatology; Geography; Ecology","score_opus":0.05065392811195659,"score_gpt":0.27323734274884826,"score_spread":0.22258341463689166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4323838507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58660185,0.003006622,0.14227557,0.0029339471,0.000996031,0.000542424,0.22463688,0.005609315,0.033397354],"genre_scores_gemma":[0.75548756,0.0008431351,0.09262535,0.00057692,0.00009150495,0.0006449442,0.14726318,0.0008191801,0.0016482449],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986261,0.00045625493,0.00016091534,0.00032052415,0.00032684777,0.00010933328],"domain_scores_gemma":[0.9978132,0.000297543,0.0003522926,0.0007078804,0.0007463072,0.00008272697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005081874,0.0012142134,0.0007927479,0.0023629768,0.00027516106,0.0013142814,0.001103406,0.00092206814,0.001543958],"category_scores_gemma":[0.0059817587,0.0005008763,0.001426285,0.004751505,0.0002923523,0.00233258,0.0013220544,0.000568915,0.00077995413],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009012914,0.0003911089,0.18330206,0.0011571944,0.002235196,0.00022940853,0.0002578343,0.5506441,0.0065719816,0.010646686,0.044785436,0.1988777],"study_design_scores_gemma":[0.00031122804,0.00026334904,0.38046718,0.0007378555,0.0007414678,0.0002609398,0.0005880599,0.40319008,0.0215749,0.015337233,0.17621751,0.00031026575],"about_ca_topic_score_codex":0.029780773,"about_ca_topic_score_gemma":0.021822596,"teacher_disagreement_score":0.029780773,"about_ca_system_score_codex":0.0016232413,"about_ca_system_score_gemma":0.001794365,"threshold_uncertainty_score":0.05921489},"labels":[],"label_agreement":null},{"id":"W4327598413","doi":"10.5194/essd-15-1151-2023","title":"A global database on holdover time of lightning-ignited wildfires","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","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":"Canadian Forest Service","funders":"Fundación para el Fomento en Asturias de la Investigación Científica Aplicada y la Tecnología","keywords":"Database; Computer science; Metadata; Range (aeronautics); Data mining; Engineering","score_opus":0.0203433037511057,"score_gpt":0.25648086505568973,"score_spread":0.23613756130458402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327598413","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":[0.0049485257,0.005592239,0.0011324821,0.00017677095,0.000063983185,0.00011977802,0.9855784,0.0003426405,0.0020450794],"genre_scores_gemma":[0.013308693,0.0042894604,0.0050168578,0.00019751057,0.00005990613,0.0006499262,0.9756536,0.00010517906,0.0007188836],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99520797,0.00063925725,0.0021942942,0.00087969576,0.00084720703,0.00023152275],"domain_scores_gemma":[0.9572342,0.018794168,0.010765049,0.0032543193,0.008708695,0.0012435834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0046129124,0.0009384848,0.0015371961,0.030357009,0.00054416736,0.0023983903,0.0018905839,0.0014576932,0.01266359],"category_scores_gemma":[0.023352336,0.00054820353,0.001356591,0.035123944,0.0003282959,0.0022752502,0.0019487501,0.00077183545,0.0058855056],"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":[0.0011902598,0.00019777575,0.12340777,0.07330822,0.0016884672,0.0014255391,0.0021027667,0.0024370651,0.0036570693,0.008222699,0.59686023,0.18550211],"study_design_scores_gemma":[0.0001508469,0.00014649713,0.16891742,0.0118008,0.00091852155,0.00073564076,0.0015061231,0.0007546288,0.001997166,0.002139852,0.81078124,0.00015123625],"about_ca_topic_score_codex":0.009074055,"about_ca_topic_score_gemma":0.011941858,"teacher_disagreement_score":0.030357009,"about_ca_system_score_codex":0.0011091628,"about_ca_system_score_gemma":0.0034536237,"threshold_uncertainty_score":0.042364},"labels":[],"label_agreement":null},{"id":"W4360611984","doi":"10.5194/essd-15-1329-2023","title":"Lake surface temperature retrieved from Landsat satellite series (1984 to 2021) for the North Slave Region","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Urban Heat Island Mitigation","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 Waterloo; Wilfrid Laurier University","funders":"Global Water Futures","keywords":"Thematic Mapper; Moderate-resolution imaging spectroradiometer; Remote sensing; Environmental science; Satellite; Land cover; Cloud cover; Shore; Thermal infrared; Satellite imagery; Climatology; Geology; Infrared; Cloud computing; Land use; Oceanography","score_opus":0.03461498856636117,"score_gpt":0.24158165640847054,"score_spread":0.20696666784210938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360611984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9668928,0.00011555624,0.00041514524,0.0000629346,0.000010581867,0.000028968323,0.030855406,0.00002568175,0.001592951],"genre_scores_gemma":[0.92440575,0.00016241502,0.001350459,0.00003125487,0.000010993685,0.000091117865,0.071737714,0.000019234625,0.0021909925],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988115,0.000009796568,0.000009932723,0.000030486446,0.000044268687,0.000024446883],"domain_scores_gemma":[0.99968874,0.000015668107,0.000054284676,0.000023518842,0.00019347944,0.000024240779],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027176074,0.00019661091,0.00019402658,0.0008355002,0.0003528168,0.00032660546,0.00021336896,0.00016597025,0.0009032574],"category_scores_gemma":[0.0006098915,0.00011256056,0.0003686369,0.0017056902,0.00012988732,0.00023726332,0.00029468446,0.00018171985,0.00024308516],"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":[0.0001967547,0.00009576611,0.94470966,0.00015518631,0.00019781792,0.00026428132,0.00043182977,0.015456317,0.0054324293,0.00027148498,0.012124233,0.02066435],"study_design_scores_gemma":[0.000013342757,0.000011062894,0.98683715,0.000015088772,0.000019967903,0.000022473589,0.0001977111,0.008081216,0.0006241607,0.000026217695,0.004143645,0.00000789357],"about_ca_topic_score_codex":0.6485116,"about_ca_topic_score_gemma":0.7917707,"teacher_disagreement_score":0.3514884,"about_ca_system_score_codex":0.0024672025,"about_ca_system_score_gemma":0.002546053,"threshold_uncertainty_score":0.7071168},"labels":[],"label_agreement":null},{"id":"W4361273533","doi":"10.5194/essd-15-1437-2023","title":"Journals with open-discussion forums are excellent educational resources for peer review training exercises","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Scientific Computing and Data Management","field":"Decision 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":"","keywords":"Peer review; Process (computing); Educational resources; Training (meteorology); Computer science; Resource (disambiguation); Open educational resources; Open science; Technical peer review; Medical education; World Wide Web; Psychology; Pedagogy; Political science; Medicine","score_opus":0.5459810813420247,"score_gpt":0.5002801296103605,"score_spread":0.04570095173166422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361273533","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021770677,0.0070068506,0.28311983,0.0907914,0.16391827,0.0231123,0.009270449,0.053668037,0.34734216],"genre_scores_gemma":[0.11015179,0.005380317,0.43347624,0.022127775,0.0944883,0.03291984,0.006323474,0.020936111,0.2741961],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.90423685,0.053021066,0.009120599,0.004159756,0.026123822,0.0033378329],"domain_scores_gemma":[0.38277495,0.3169807,0.0496938,0.06330556,0.10177623,0.08546886],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.09641277,0.0021895159,0.0023328785,0.009660558,0.0052213813,0.0131929545,0.004386483,0.0050586015,0.23235784],"category_scores_gemma":[0.35976064,0.0015202407,0.00177106,0.0067012035,0.0032957725,0.0150069995,0.017508933,0.0059614982,0.17341602],"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":[0.00039696388,0.0008553362,0.0009107338,0.0020883735,0.000051127474,0.00036674456,0.004823411,0.00028987243,0.0029597299,0.0069725835,0.6782069,0.30207813],"study_design_scores_gemma":[0.0002861022,0.00026169972,0.001473396,0.0007493302,0.000018310042,0.00026686993,0.0014777867,0.00045174256,0.0010601603,0.0151687935,0.9786862,0.00009957775],"about_ca_topic_score_codex":0.000084099665,"about_ca_topic_score_gemma":0.00045519264,"teacher_disagreement_score":0.9035872,"about_ca_system_score_codex":0.0015717847,"about_ca_system_score_gemma":0.009962032,"threshold_uncertainty_score":0.7773144},"labels":[],"label_agreement":null},{"id":"W4366208486","doi":"10.5194/essd-15-1675-2023","title":"Heat stored in the Earth system 1960–2020: where does the energy go?","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","field":"Environmental Science","cited_by":201,"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; Sight Research UK; Deutsches Klimarechenzentrum","keywords":"Cryosphere; Earth system science; Climate change; Environmental science; Atmosphere (unit); Global warming; Climatology; Atmospheric sciences; Earth science; Meteorology; Geography; Geology; Oceanography; Sea ice","score_opus":0.030937386778941752,"score_gpt":0.24867450346062805,"score_spread":0.2177371166816863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366208486","genre_codex":"review","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":[0.08159935,0.56922084,0.008824675,0.15450397,0.018564181,0.00004521177,0.0337015,0.00033064897,0.13320965],"genre_scores_gemma":[0.79656535,0.17449524,0.002427386,0.005255223,0.004000329,0.00005048989,0.009474821,0.00011237217,0.007618812],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9996861,0.000082214436,0.000018830122,0.000064621985,0.000101132806,0.000047106085],"domain_scores_gemma":[0.99935836,0.00015508223,0.00010726989,0.000028191012,0.00027723785,0.0000739639],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007975572,0.0006752766,0.00037389595,0.0015291659,0.00057830446,0.0027290327,0.00036005006,0.000978728,0.007777106],"category_scores_gemma":[0.0022033553,0.00014631153,0.00045958356,0.0037589655,0.001075406,0.003242599,0.000977873,0.0017242259,0.002052998],"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":[0.0004469335,0.00007456831,0.09983455,0.005702778,0.00036533823,0.00046209886,0.001461194,0.014758015,0.0018341109,0.19444841,0.33125255,0.3493594],"study_design_scores_gemma":[0.000046048153,0.00015718435,0.18923202,0.006559518,0.00027985885,0.0003643883,0.0037376827,0.008278192,0.0016144072,0.09486385,0.6946662,0.00020068152],"about_ca_topic_score_codex":0.03164012,"about_ca_topic_score_gemma":0.018082788,"teacher_disagreement_score":0.03164012,"about_ca_system_score_codex":0.0023910508,"about_ca_system_score_gemma":0.0014420899,"threshold_uncertainty_score":0.06291187},"labels":[],"label_agreement":null},{"id":"W4366598884","doi":"10.5194/essd-15-1597-2023","title":"Mass balance of the Greenland and Antarctic ice sheets from 1992 to 2020","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":289,"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; Memorial University of Newfoundland","funders":"Helmholtz Association; Università di Bologna; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; National Aeronautics and Space Administration; European Space Agency; Lancaster University; Aarhus Universitet","keywords":"Geology; Glacier mass balance; Greenland ice sheet; Ice sheet; Climatology; Balance (ability); Oceanography; Environmental science; Glacier; Geomorphology","score_opus":0.03556515225820785,"score_gpt":0.23680462384143502,"score_spread":0.2012394715832272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366598884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.834226,0.007975064,0.0009251028,0.0008031552,0.00023793819,0.000038273167,0.14401424,0.0002488226,0.011531309],"genre_scores_gemma":[0.88457036,0.0023136728,0.0017794826,0.00045929028,0.0001355532,0.000061822895,0.10685238,0.00007053632,0.0037569467],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977654,0.000023880626,0.000026342193,0.000054871172,0.00008368626,0.00003476012],"domain_scores_gemma":[0.9990564,0.000035320227,0.0002983547,0.00006368686,0.00046769704,0.000078526005],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064810447,0.00066594064,0.00024273265,0.0029327394,0.00027835058,0.0009938556,0.00036410656,0.00028330125,0.0010532958],"category_scores_gemma":[0.0008076321,0.00014188098,0.00035313008,0.0033325567,0.00020435137,0.0009805934,0.0006138357,0.0003077372,0.0007355819],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021880347,0.000038927137,0.90704817,0.00039739505,0.0006355723,0.00022262587,0.00045326672,0.0036443677,0.0027910005,0.0005507236,0.020286752,0.063712426],"study_design_scores_gemma":[0.0000057229695,0.000018194256,0.9710886,0.00007750377,0.000052654304,0.000060721657,0.00011696795,0.0006562531,0.000499028,0.00010378511,0.027310152,0.000010455927],"about_ca_topic_score_codex":0.06888585,"about_ca_topic_score_gemma":0.08822355,"teacher_disagreement_score":0.06888585,"about_ca_system_score_codex":0.001627164,"about_ca_system_score_gemma":0.0010359604,"threshold_uncertainty_score":0.1369698},"labels":[],"label_agreement":null},{"id":"W4376491332","doi":"10.5194/essd-15-1617-2023","title":"Nunataryuk field campaigns: understanding the origin and fate of terrestrial organic matter in the coastal waters of the Mackenzie Delta region","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","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":"Bedford Institute of Oceanography; Ministère des Ressources naturelles et des Forêts; Fisheries and Oceans Canada; Institut National de la Recherche Scientifique; Université du Québec à Rimouski; Natural Resources Canada; Université Laval","funders":"Horizon 2020; Fisheries and Oceans Canada; Centre National de la Recherche Scientifique; Simon Fraser University; Université Laval; ArcticNet; Crown-Indigenous Relations and Northern Affairs Canada; Agence Nationale de la Recherche; Aurora Research Institute; Parks Canada; Goddard Space Flight Center; Natural Resources Canada","keywords":"Delta; Field (mathematics); Organic matter; Environmental science; Oceanography; Geology; Earth science; Physical geography; Geography; Ecology; Physics","score_opus":0.09529159369983517,"score_gpt":0.28290734048039345,"score_spread":0.18761574678055828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376491332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99639386,0.00008796313,0.00028977758,0.000031600208,0.000004624132,0.000081975966,0.0016283947,0.000013416914,0.0014684058],"genre_scores_gemma":[0.9880987,0.00021711513,0.0038378602,0.000082916624,0.000010336018,0.00037851036,0.0047578975,0.000016447088,0.002600253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998617,0.000017462431,0.0000060426064,0.00005194619,0.000020735984,0.0000419809],"domain_scores_gemma":[0.99978524,0.000017540491,0.000039067327,0.000020331458,0.00007697866,0.000060760085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003458216,0.00032160114,0.00025774774,0.0006279208,0.0010019725,0.00040867022,0.00041171286,0.0002577716,0.0010428235],"category_scores_gemma":[0.00020817686,0.00016287815,0.00024997193,0.000635716,0.0003307614,0.00027546578,0.00067665527,0.00029064316,0.00022409287],"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":[0.00095161854,0.00036733554,0.88049924,0.00037949783,0.00012370032,0.00077656214,0.0055938903,0.0012396871,0.067818336,0.000271382,0.0018331951,0.040145516],"study_design_scores_gemma":[0.000012281969,0.000105037274,0.9939725,0.000023160575,0.000020290408,0.00003608474,0.0019440628,0.00048330324,0.0014157116,0.000026790622,0.0019522944,0.000008485569],"about_ca_topic_score_codex":0.21170698,"about_ca_topic_score_gemma":0.40351078,"teacher_disagreement_score":0.788293,"about_ca_system_score_codex":0.0011316885,"about_ca_system_score_gemma":0.0024576904,"threshold_uncertainty_score":0.42094946},"labels":[],"label_agreement":null},{"id":"W4377164328","doi":"10.5194/essd-15-2009-2023","title":"Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Flood Risk Assessment and Management","field":"Environmental Science","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":"Canmore Museum and Geoscience Centre; Global Institute for Water Security; University of Saskatchewan","funders":"European Research Council; Division of Agriculture and Natural Resources, University of California; National Natural Science Foundation of China; National Foundation for Science and Technology Development; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; Murdoch University; Natural Environment Research Council; UK Research and Innovation; European Commission; Ministerio de Ciencia e Innovación; Centrum för naturkatastrofslära, Uppsala Universitet; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Sight Research UK; Horizon 2020; Alexander von Humboldt-Stiftung","keywords":"Flood myth; Context (archaeology); Benchmark (surveying); Hazard; Environmental science; Vulnerability (computing); Climate change; Environmental resource management; Computer science; Geography; Cartography; Ecology","score_opus":0.06737612569382777,"score_gpt":0.31280424908821386,"score_spread":0.24542812339438608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4377164328","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":[0.001247604,0.00014090765,0.00017896223,0.00011606323,0.00002697559,0.000028235472,0.9972308,0.00037987987,0.00065056636],"genre_scores_gemma":[0.0029121505,0.00007699306,0.0006513834,0.00004019852,0.000012893635,0.00012837717,0.99579453,0.000035583904,0.00034800585],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990175,0.00023648328,0.00015495424,0.00025762917,0.00022243998,0.00011098376],"domain_scores_gemma":[0.9967885,0.0010388208,0.0005001941,0.0006662696,0.0007854642,0.0002208129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010498256,0.0010017959,0.0008478537,0.0034504558,0.0004947845,0.0012947009,0.0019596133,0.0019494903,0.016474912],"category_scores_gemma":[0.0062848134,0.00039895496,0.00096891844,0.00500811,0.0003218226,0.000993218,0.0017484814,0.0010245041,0.014736276],"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":[0.00016438967,0.00007513227,0.011341688,0.0019188289,0.00011966711,0.00021962846,0.000121243625,0.0023935845,0.00048785206,0.0009889236,0.9703333,0.011835832],"study_design_scores_gemma":[0.00031339106,0.000089263805,0.06464588,0.0007387844,0.000089081055,0.00026801537,0.00043924493,0.0056841327,0.0007404268,0.0020172151,0.9248737,0.00010096016],"about_ca_topic_score_codex":0.020059623,"about_ca_topic_score_gemma":0.034777176,"teacher_disagreement_score":0.020059623,"about_ca_system_score_codex":0.0009909553,"about_ca_system_score_gemma":0.0013572896,"threshold_uncertainty_score":0.05511403},"labels":[],"label_agreement":null},{"id":"W4379532246","doi":"10.5194/essd-15-2295-2023","title":"Indicators of Global Climate Change 2022: annual update of large-scale indicators of the state of the climate system and human influence","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":308,"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; Environment and Climate Change Canada","funders":"H2020 European Research Council; H2020 Excellent Science; International Institute for Applied Systems Analysis; Met Office; Natural Environment Research Council; Sight Research UK","keywords":"Greenhouse gas; Radiative forcing; Climate commitment; Climate change; Earth system science; Environmental science; United Nations Framework Convention on Climate Change; Climate model; Climatology; Global warming; Negotiation; Forcing (mathematics); Environmental resource management; Political science; Effects of global warming; Kyoto Protocol; Ecology","score_opus":0.007332222440775391,"score_gpt":0.2362455506479679,"score_spread":0.2289133282071925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379532246","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":[0.005289241,0.0054589794,0.0067978995,0.004145577,0.002718509,0.0004895396,0.95956135,0.0013134948,0.014225391],"genre_scores_gemma":[0.03473262,0.0072166813,0.027949423,0.001334257,0.00067762675,0.002688033,0.91868335,0.00062574085,0.006092244],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.994669,0.0008365753,0.00078327546,0.00049882015,0.0028323361,0.00037989632],"domain_scores_gemma":[0.9700472,0.0020985003,0.005673661,0.0020842573,0.017975137,0.002121242],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010028529,0.002419788,0.0014375658,0.012829449,0.00073787634,0.0027758952,0.002468907,0.0013240757,0.0112701],"category_scores_gemma":[0.01709154,0.0007900293,0.0011280811,0.025724396,0.00062794646,0.0037796285,0.005043337,0.0030779291,0.0069549144],"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":[0.0001397481,0.00010173999,0.028170293,0.0036992833,0.00028940875,0.00008548318,0.00037293744,0.0016739084,0.00092555047,0.005254935,0.8634365,0.095850274],"study_design_scores_gemma":[0.00004180501,0.00004221414,0.0849897,0.0010146768,0.0001235844,0.00008137415,0.00030828716,0.00089472526,0.0011728934,0.0023794963,0.90885556,0.00009572083],"about_ca_topic_score_codex":0.056516282,"about_ca_topic_score_gemma":0.034631964,"teacher_disagreement_score":0.056516282,"about_ca_system_score_codex":0.002964201,"about_ca_system_score_gemma":0.010108912,"threshold_uncertainty_score":0.11237466},"labels":[],"label_agreement":null},{"id":"W4379792752","doi":"10.5194/essd-15-2347-2023","title":"An improved global land cover mapping in 2015 with 30 m resolution (GLC-2015) based on a multisource product-fusion approach","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Remote Sensing in Agriculture","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":"National Key Research and Development Program of China; Sun Yat-sen University; Joint Research Centre; Tsinghua University; U.S. Geological Survey; Wuhan University; National Natural Science Foundation of China; Chinese Academy of Sciences; Natural Resources Canada; National Science Fund for Distinguished Young Scholars; Natural Science Foundation of Guangdong Province; National Natural Science Foundation of China-Guangdong Joint Fund; Aberystwyth University","keywords":"Land cover; Product (mathematics); Pixel; Cover (algebra); Computer science; Grid; Class (philosophy); Resolution (logic); Environmental science; Process (computing); Point (geometry); Remote sensing; Reliability (semiconductor); Land use; Data mining; Mathematics; Geography; Artificial intelligence","score_opus":0.020388961723411807,"score_gpt":0.24777072168130912,"score_spread":0.2273817599578973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379792752","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":[0.8055563,0.0008934344,0.16788137,0.00053079845,0.00022912667,0.00022403059,0.0128401425,0.0053198435,0.0065248967],"genre_scores_gemma":[0.81381255,0.00015122976,0.1742494,0.000103417726,0.00003518148,0.00007206259,0.010519084,0.00015600979,0.00090105104],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994704,0.00008291401,0.000026426054,0.00015826113,0.00019488929,0.000067103814],"domain_scores_gemma":[0.99936014,0.000056464218,0.000060890437,0.00011037406,0.0003735598,0.000038539925],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014618107,0.0007916941,0.0005174177,0.0025275322,0.00028898282,0.0006630433,0.0005586506,0.00056042837,0.0012424504],"category_scores_gemma":[0.0014043722,0.00023237932,0.00096519385,0.0026866668,0.0002574172,0.00088540156,0.0008728024,0.0004107258,0.00043955015],"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":[0.0005642559,0.00041508328,0.14798678,0.00054542883,0.0007514653,0.0009668802,0.00063590676,0.22379042,0.07209036,0.002634004,0.016717298,0.5329021],"study_design_scores_gemma":[0.000089549474,0.00014995255,0.23928066,0.000072835086,0.0002937595,0.00026087428,0.00025806646,0.7204554,0.02366198,0.0021926113,0.013141773,0.0001425351],"about_ca_topic_score_codex":0.01829872,"about_ca_topic_score_gemma":0.02157604,"teacher_disagreement_score":0.01829872,"about_ca_system_score_codex":0.00053896924,"about_ca_system_score_gemma":0.000914138,"threshold_uncertainty_score":0.036384404},"labels":[],"label_agreement":null},{"id":"W4381569814","doi":"10.5194/essd-15-2153-2023","title":"Fire weather index data under historical and shared socioeconomic pathway projections in the 6th phase of the Coupled Model Intercomparison Project from 1850 to 2100","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":55,"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":"H2020 European Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung","keywords":"Coupled model intercomparison project; Environmental science; Meteorology; Climatology; Relative humidity; Climate change; Climate model; Geography; Geology","score_opus":0.08731197861537468,"score_gpt":0.31488221648554116,"score_spread":0.22757023787016648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381569814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7456724,0.0006661073,0.009044457,0.0007701569,0.00032980615,0.00014311058,0.23247379,0.0013592748,0.009540988],"genre_scores_gemma":[0.86182755,0.00031569283,0.008991512,0.00012167584,0.00004729582,0.00011197103,0.12735231,0.00013500231,0.0010970127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995679,0.000072224124,0.000024804634,0.00011393897,0.00014097225,0.00008016395],"domain_scores_gemma":[0.99875176,0.000082756625,0.00007864616,0.00011506067,0.00084076094,0.00013094481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013340756,0.0009534959,0.0004617029,0.00088158937,0.00067680835,0.0008088872,0.0014422814,0.0005634307,0.001605917],"category_scores_gemma":[0.002210853,0.0002803018,0.0013451255,0.002040837,0.00033589936,0.0005163574,0.0005060695,0.00090223254,0.000324374],"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":[0.000717903,0.00018258273,0.21782908,0.000373209,0.0013136821,0.00022436309,0.0001892562,0.7133276,0.0018928968,0.0028317058,0.03846329,0.022654545],"study_design_scores_gemma":[0.00035313357,0.00008707277,0.3416721,0.00012369471,0.0004286939,0.00007058991,0.00025243108,0.6186327,0.004470319,0.0010785239,0.03253994,0.0002907343],"about_ca_topic_score_codex":0.9021083,"about_ca_topic_score_gemma":0.8683325,"teacher_disagreement_score":0.9021083,"about_ca_system_score_codex":0.0055210693,"about_ca_system_score_gemma":0.007921249,"threshold_uncertainty_score":0.19693631},"labels":[],"label_agreement":null},{"id":"W4382727574","doi":"10.5194/essd-15-2667-2023","title":"The HTAP_v3 emission mosaic: merging regional and global monthly emissions (2000–2018) to support air quality modelling and policies","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":177,"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":"Japan Society for the Promotion of Science; Ministry of Science and ICT, South Korea; Ministry of the Environment, Government of Japan; Environmental Restoration and Conservation Agency","keywords":"Mosaic; Environmental science; Air quality index; Quality (philosophy); Meteorology; Climatology; Atmospheric sciences; Geology; Geography; Physics","score_opus":0.07288992697058086,"score_gpt":0.3030606775767286,"score_spread":0.23017075060614775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382727574","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":[0.27800888,0.0007369471,0.10926851,0.0009445504,0.0005884062,0.0010753281,0.5512744,0.031385716,0.026717167],"genre_scores_gemma":[0.47104564,0.00034776886,0.19274959,0.00017572913,0.00009683513,0.0008991588,0.32761216,0.0046478272,0.0024253442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995834,0.00008609504,0.00003461907,0.00012400512,0.000120697005,0.000051039984],"domain_scores_gemma":[0.9992073,0.00008299438,0.00010498038,0.00025796186,0.0002258236,0.000120976496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021850616,0.00058432453,0.00044294263,0.0011728404,0.0003853532,0.00086368184,0.0010058307,0.0005180291,0.0042930767],"category_scores_gemma":[0.0021179162,0.00047699307,0.0011542883,0.0031972742,0.00022170135,0.0014479237,0.0012670989,0.0005811274,0.0012981417],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018586871,0.0006491462,0.15234625,0.0010113489,0.0019289667,0.0005530584,0.00072624563,0.40447095,0.023329388,0.010935206,0.2243363,0.17785445],"study_design_scores_gemma":[0.0009228202,0.00025104728,0.17881261,0.00026678314,0.00040718,0.00021243737,0.00063682033,0.5697976,0.018979203,0.009515844,0.22000054,0.00019708462],"about_ca_topic_score_codex":0.053752404,"about_ca_topic_score_gemma":0.035456516,"teacher_disagreement_score":0.053752404,"about_ca_system_score_codex":0.00090381276,"about_ca_system_score_gemma":0.002330569,"threshold_uncertainty_score":0.106879056},"labels":[],"label_agreement":null},{"id":"W4383876264","doi":"10.5194/essd-15-2879-2023","title":"GRiMeDB: the Global River Methane Database of concentrations and fluxes","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":63,"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 Winnipeg","funders":"Norges Forskningsråd; Vetenskapsrådet; Svenska Forskningsrådet Formas; Umeå Universitet; National Science Foundation","keywords":"Environmental science; Fluvial; Methane; Ecosystem; STREAMS; Atmosphere (unit); Hydrology (agriculture); Flux (metallurgy); River ecosystem; Aquatic ecosystem; Atmospheric sciences; Database; Environmental chemistry; Ecology; Geology; Meteorology; Chemistry; Computer science; Geography","score_opus":0.02223658453185895,"score_gpt":0.25504627897728677,"score_spread":0.23280969444542782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383876264","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":[0.00086631614,0.00030276962,0.00048336078,0.00005322387,0.000018809338,0.000014517205,0.9959806,0.0011273625,0.0011529514],"genre_scores_gemma":[0.003436658,0.00018497946,0.001417028,0.000039060134,0.000011661952,0.000060882354,0.9943111,0.00019828486,0.00034025818],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999005,0.00013102923,0.00020056315,0.0002352167,0.00031895918,0.00010930313],"domain_scores_gemma":[0.99815744,0.00024955894,0.0005372818,0.00032692973,0.00054210157,0.00018670739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011375785,0.0017672165,0.0016363522,0.005740264,0.00040888478,0.0017400724,0.0022582307,0.0010625978,0.016131714],"category_scores_gemma":[0.0038383934,0.00073559035,0.00075477274,0.010984275,0.00021779141,0.0019353974,0.0019668438,0.0012336563,0.021313068],"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":[0.00035105518,0.000050771654,0.024503898,0.0031127508,0.00036897682,0.00018965045,0.00014395491,0.002841808,0.0014300223,0.002943992,0.93221974,0.031843454],"study_design_scores_gemma":[0.00018094773,0.000034280503,0.039495256,0.0006168899,0.00009563315,0.00009869438,0.000106692794,0.0031216387,0.0013686124,0.0024725017,0.9523081,0.000100769255],"about_ca_topic_score_codex":0.029812196,"about_ca_topic_score_gemma":0.028168732,"teacher_disagreement_score":0.029812196,"about_ca_system_score_codex":0.00078170677,"about_ca_system_score_gemma":0.0020281968,"threshold_uncertainty_score":0.059277296},"labels":[],"label_agreement":null},{"id":"W4384383089","doi":"10.5194/essd-15-3001-2023","title":"Radiative sensitivity quantified by a new set of radiation flux kernels based on the ECMWF Reanalysis v5 (ERA5)","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate variability and models","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":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Radiative transfer; Radiative forcing; Radiative flux; Environmental science; Sensitivity (control systems); Climate model; Climate sensitivity; Flux (metallurgy); Standard deviation; Earth's energy budget; Atmospheric sciences; Climatology; Radiation; Climate change; Physics; Meteorology; Mathematics; Statistics; Geology","score_opus":0.07109961810846983,"score_gpt":0.28724743167672656,"score_spread":0.21614781356825674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4384383089","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8680991,0.00076437014,0.04792451,0.00027422397,0.00021671521,0.00010503748,0.07059268,0.006868168,0.0051552663],"genre_scores_gemma":[0.8630582,0.0002445759,0.034747906,0.00009821489,0.000038457252,0.00010934336,0.10025202,0.0005458868,0.00090552104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947685,0.00007554101,0.00006261226,0.00016580686,0.00016319937,0.000055964916],"domain_scores_gemma":[0.99857044,0.00038094292,0.0001991394,0.00038649858,0.00040720784,0.000055658893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011659508,0.00070106174,0.00042969873,0.001225641,0.0002781654,0.00094177923,0.0007301895,0.0005843429,0.0012507763],"category_scores_gemma":[0.0036603597,0.00025588344,0.0012637555,0.0011387765,0.00021288653,0.0012521185,0.0006373112,0.0007681996,0.0006720645],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011190772,0.0007347254,0.2140658,0.0008241343,0.0013626933,0.0002649615,0.00028891728,0.52593035,0.028278602,0.0049982104,0.049246695,0.17288579],"study_design_scores_gemma":[0.00014240366,0.00011159774,0.21799353,0.000055738314,0.0002335599,0.00015673741,0.00009718776,0.7352129,0.019758606,0.0020091492,0.024031032,0.00019755523],"about_ca_topic_score_codex":0.016574172,"about_ca_topic_score_gemma":0.013239832,"teacher_disagreement_score":0.016574172,"about_ca_system_score_codex":0.0006261399,"about_ca_system_score_gemma":0.00056262704,"threshold_uncertainty_score":0.032955408},"labels":[],"label_agreement":null},{"id":"W4385493300","doi":"10.5194/essd-15-3351-2023","title":"Ice-core data used for the construction of the Greenland Ice-Core Chronology 2005 and 2021 (GICC05 and GICC21)","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","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":"University of Manitoba","funders":"Carlsbergfondet; University of Bern","keywords":"Ice core; Greenland ice sheet; Geology; Chronology; Ice sheet; Climatology; Series (stratigraphy); Core (optical fiber); Table (database); Groenlandia; Physical geography; Paleontology; Oceanography; Database; Geography; Computer science","score_opus":0.10784564046878405,"score_gpt":0.306394819552604,"score_spread":0.19854917908381997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385493300","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":[0.01945192,0.0006032475,0.0012068687,0.0001061857,0.00024814252,0.00021762658,0.97222984,0.00033153407,0.005604728],"genre_scores_gemma":[0.023709506,0.00019553088,0.004310616,0.00015102554,0.00004740334,0.0003692577,0.9690113,0.00015838999,0.0020469858],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99895453,0.00009353839,0.00014888606,0.00021728466,0.00046050648,0.00012531487],"domain_scores_gemma":[0.9952213,0.00018147855,0.0011460481,0.00050405326,0.0025736948,0.00037338928],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017428178,0.0011331685,0.0005994456,0.0046545356,0.0004496083,0.0008522572,0.0008807703,0.0003942186,0.0051182196],"category_scores_gemma":[0.0029042608,0.0002922336,0.00048588912,0.007158395,0.00025352038,0.00069774216,0.00091675564,0.00083902007,0.0040472066],"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":[0.00064817193,0.00018305735,0.14126398,0.0016261012,0.0004595044,0.000359257,0.00045501938,0.009422909,0.005398614,0.0039934125,0.77387875,0.062311273],"study_design_scores_gemma":[0.00012691447,0.00006562921,0.53550607,0.000292396,0.00008428002,0.000110127,0.00021205541,0.0020575935,0.0025077355,0.0006443435,0.45835042,0.00004238682],"about_ca_topic_score_codex":0.11299773,"about_ca_topic_score_gemma":0.1121697,"teacher_disagreement_score":0.11299773,"about_ca_system_score_codex":0.0020470105,"about_ca_system_score_gemma":0.003584035,"threshold_uncertainty_score":0.22468007},"labels":[],"label_agreement":null},{"id":"W4385497370","doi":"10.5194/essd-15-3387-2023","title":"Network for the Detection of Atmospheric Composition Change (NDACC) Fourier transform infrared (FTIR) trace gas measurements at the University of Toronto Atmospheric Observatory from 2002 to 2020","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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":true,"ca_institutions":"Saint Mary's University; Nova Scotia Community College; Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Environment and Climate Change Canada; University of Toronto; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Observatory; Environmental science; Fourier transform infrared spectroscopy; Remote sensing; Trace gas; Atmospheric composition; Fourier transform spectroscopy; Infrared; Spectrometer; Fourier transform; Atmospheric chemistry; Atmospheric sciences; Meteorology; Analytical Chemistry (journal); Physics; Atmosphere (unit); Geology; Chemistry; Environmental chemistry; Optics; Astrophysics; Ozone","score_opus":0.0631927496278925,"score_gpt":0.23107176558584483,"score_spread":0.16787901595795235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385497370","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":[0.028984226,0.00060824765,0.0023402104,0.0004202055,0.00027616904,0.00031647872,0.9538298,0.0017702839,0.011454441],"genre_scores_gemma":[0.055791922,0.00055559614,0.012276692,0.00016839628,0.00005724758,0.00033748575,0.9260106,0.00028066247,0.0045214435],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9973314,0.00010970852,0.00017625603,0.0003724324,0.0017934354,0.0002167922],"domain_scores_gemma":[0.9896347,0.00031591445,0.0011419386,0.0010683406,0.00666946,0.0011696295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023610473,0.0012739792,0.0008537715,0.0034938215,0.0019473956,0.0013973136,0.0019059551,0.0007544804,0.005311908],"category_scores_gemma":[0.0045885635,0.000613426,0.0004884073,0.007839179,0.0005474907,0.0008698294,0.0016957499,0.0009546762,0.002744886],"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":[0.00086840946,0.00016574438,0.20563754,0.0016077302,0.00042626009,0.0002651566,0.0007050279,0.0049455995,0.009621037,0.0021751446,0.7337167,0.039865583],"study_design_scores_gemma":[0.00027904383,0.000076883414,0.6229079,0.00026209894,0.00024098158,0.000090913454,0.00045336699,0.010318933,0.010196366,0.00047514876,0.35454237,0.00015601824],"about_ca_topic_score_codex":0.90801555,"about_ca_topic_score_gemma":0.92112875,"teacher_disagreement_score":0.90801555,"about_ca_system_score_codex":0.013207986,"about_ca_system_score_gemma":0.021242676,"threshold_uncertainty_score":0.18505228},"labels":[],"label_agreement":null},{"id":"W4385839365","doi":"10.5194/essd-15-3673-2023","title":"Global oceanic diazotroph database version 2 and elevated estimate of global oceanic N <sub>2</sub> fixation","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Marine and coastal ecosystems","field":"Earth and Planetary Sciences","cited_by":65,"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; Dalhousie University","funders":"National Natural Science Foundation of China; Natural Environment Research Council; Sight Research UK","keywords":"Diazotroph; Geology; Nitrogen fixation; Paleontology","score_opus":0.016977725220193706,"score_gpt":0.2373344265723545,"score_spread":0.22035670135216082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385839365","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":[0.017031005,0.00045231916,0.0016713449,0.00011106663,0.000046908255,0.00012062655,0.97521245,0.0019486442,0.0034054748],"genre_scores_gemma":[0.010682202,0.00022973955,0.005723706,0.00007628962,0.000011494461,0.00021466447,0.9821302,0.0002975706,0.0006340268],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99883336,0.000118647185,0.0003225934,0.0002051651,0.0004049331,0.00011530438],"domain_scores_gemma":[0.9943851,0.00081541965,0.0013671131,0.0007474053,0.002149729,0.00053526025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024604555,0.0014117272,0.0009455767,0.0055641094,0.00037836077,0.001537505,0.0012317414,0.0008227305,0.0059898673],"category_scores_gemma":[0.006742345,0.00067706616,0.0007446414,0.007629942,0.00021176176,0.0014891968,0.0018262898,0.00085329247,0.0056362855],"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":[0.00408277,0.00029558482,0.25778997,0.009622739,0.0011284456,0.00075638836,0.0007863424,0.005055269,0.043021943,0.0049716076,0.5313695,0.14111935],"study_design_scores_gemma":[0.0004448702,0.00023485823,0.38837355,0.00070173317,0.00053587183,0.00033823922,0.0002937156,0.0031887637,0.014344651,0.0015447377,0.5897828,0.000216292],"about_ca_topic_score_codex":0.018588668,"about_ca_topic_score_gemma":0.013972078,"teacher_disagreement_score":0.018588668,"about_ca_system_score_codex":0.0008281036,"about_ca_system_score_gemma":0.0021072207,"threshold_uncertainty_score":0.0369609},"labels":[],"label_agreement":null},{"id":"W4385896988","doi":"10.5194/essd-15-3573-2023","title":"Antarctic Ice Sheet paleo-constraint database","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","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":"Memorial University of Newfoundland","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Ice sheet; Geology; Database; Ice-sheet model; Antarctic ice sheet; Climatology; Greenland ice sheet; Cryosphere; Sea ice; Ice stream; Oceanography; Computer science","score_opus":0.06924909821214398,"score_gpt":0.29726593731052153,"score_spread":0.22801683909837756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385896988","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":[0.002081138,0.00020794634,0.0008405082,0.00006175032,0.000028744485,0.000054946966,0.99200517,0.00049477344,0.0042250026],"genre_scores_gemma":[0.0036763428,0.00014919897,0.0022985623,0.000042037616,0.000009794673,0.00013224728,0.9930137,0.00008798677,0.0005902189],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.999485,0.00006209843,0.000114132556,0.00011313426,0.0001833379,0.00004223183],"domain_scores_gemma":[0.9971288,0.00037034944,0.00036267436,0.00081546226,0.001040673,0.00028210634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011648713,0.00088275014,0.00069507083,0.004256385,0.00056087214,0.0016362196,0.0015168843,0.00058549223,0.025203971],"category_scores_gemma":[0.0042032953,0.00035855334,0.0004427331,0.009870265,0.00019806839,0.0008928989,0.0011805794,0.00074128085,0.018700607],"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":[0.0005489694,0.000059368587,0.028810684,0.0016511205,0.00019517161,0.00029229154,0.00020881488,0.003953577,0.0013808344,0.0055667954,0.9011715,0.056160867],"study_design_scores_gemma":[0.00010985317,0.000013936207,0.021364793,0.00019770856,0.000048869886,0.00012965983,0.000082894876,0.0015856322,0.00088564464,0.0017387714,0.9738071,0.000035198587],"about_ca_topic_score_codex":0.021870844,"about_ca_topic_score_gemma":0.0235536,"teacher_disagreement_score":0.025203971,"about_ca_system_score_codex":0.0007487747,"about_ca_system_score_gemma":0.0029153577,"threshold_uncertainty_score":0.08431572},"labels":[],"label_agreement":null},{"id":"W4385899410","doi":"10.5194/essd-15-3529-2023","title":"The Coastal Surveillance Through Observation of Ocean Color (COASTℓOOC) dataset","year":2023,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Oceanography; Sampling (signal processing); Mediterranean sea; Environmental science; Seawater; Coastal sea; Mediterranean climate; Remote sensing; Meteorology; Climatology; Geography; Geology; Computer science","score_opus":0.06279683189249886,"score_gpt":0.26208165828007696,"score_spread":0.1992848263875781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385899410","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":[0.00618983,0.00009064856,0.00034545505,0.00008386221,0.000039558392,0.00005489945,0.9919681,0.00046953713,0.0007581255],"genre_scores_gemma":[0.003262045,0.00003157488,0.0009447105,0.000022056236,0.0000066375055,0.00010406994,0.99537694,0.000018916793,0.00023298596],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9990721,0.00014246361,0.00014034616,0.00023029427,0.00029313265,0.000121706355],"domain_scores_gemma":[0.99796164,0.00032797782,0.00028399573,0.000510975,0.0006817829,0.00023359139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012842268,0.0011468605,0.0010045599,0.002837825,0.0005431284,0.0011022573,0.0023827134,0.0013492749,0.0050608795],"category_scores_gemma":[0.003105288,0.00040734705,0.00092393963,0.004327541,0.00028939696,0.00080731744,0.0018603517,0.0010688279,0.009028812],"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":[0.0003350613,0.00023187781,0.0402688,0.0010629507,0.00029576337,0.0002791853,0.00017693575,0.0038243337,0.0020664148,0.00081563025,0.92213005,0.028512852],"study_design_scores_gemma":[0.00058234093,0.00019874923,0.24612622,0.00052956905,0.00017475095,0.0003084886,0.00079607434,0.0144951865,0.0043634023,0.001326769,0.7308998,0.00019871835],"about_ca_topic_score_codex":0.03964021,"about_ca_topic_score_gemma":0.05743597,"teacher_disagreement_score":0.03964021,"about_ca_system_score_codex":0.0010245333,"about_ca_system_score_gemma":0.0015586591,"threshold_uncertainty_score":0.07881898},"labels":[],"label_agreement":null},{"id":"W4386162545","doi":"10.5194/essd-15-3853-2023","title":"Routine monitoring of western Lake Erie to track water quality changes associated with cyanobacterial harmful algal blooms","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Aquatic Ecosystems and Phytoplankton Dynamics","field":"Environmental Science","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":"NOAA Great Lakes Environmental Research Laboratory; National Centers for Environmental Information; National Oceanic and Atmospheric Administration; University of Michigan","keywords":"Algal bloom; Environmental science; Water quality; Phytoplankton; Oceanography; Environmental monitoring; Sampling (signal processing); Nutrient; Hydrology (agriculture); Ecology; Environmental engineering; Geology","score_opus":0.05074463837419684,"score_gpt":0.2870606573826079,"score_spread":0.23631601900841104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386162545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8501996,0.0005785856,0.001792969,0.00048623644,0.000029333389,0.00014093072,0.1379381,0.0006191863,0.008215205],"genre_scores_gemma":[0.7399819,0.00055860507,0.011145689,0.00042220773,0.000029097067,0.000462344,0.24199042,0.00012177616,0.0052879825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996333,0.000036322275,0.000033928518,0.00011905255,0.00011836402,0.00005904026],"domain_scores_gemma":[0.9992692,0.00004697265,0.00013012829,0.00007567837,0.00042359537,0.000054475517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055379036,0.00039235433,0.00045862622,0.0011979253,0.00031635066,0.0005501508,0.00051560666,0.00037893327,0.0011742164],"category_scores_gemma":[0.0008393335,0.00017941538,0.00026322526,0.0021912667,0.00012916233,0.0005097759,0.0009895142,0.0002851488,0.00064258266],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037187323,0.00023904225,0.8474135,0.0005439593,0.00037541336,0.0004431906,0.0007494235,0.004919311,0.014271674,0.00041808176,0.0702627,0.059991747],"study_design_scores_gemma":[0.000063630425,0.000052853396,0.9342843,0.000100235964,0.000064140986,0.00008420791,0.00067182514,0.0064481744,0.0035278655,0.00010772698,0.0545615,0.00003352512],"about_ca_topic_score_codex":0.1413742,"about_ca_topic_score_gemma":0.3219801,"teacher_disagreement_score":0.1413742,"about_ca_system_score_codex":0.00083149533,"about_ca_system_score_gemma":0.0013264561,"threshold_uncertainty_score":0.2811026},"labels":[],"label_agreement":null},{"id":"W4386492988","doi":"10.5194/essd-15-3963-2023","title":"CLIM4OMICS: a geospatially comprehensive climate and multi-OMICS database for maize phenotype predictability in the United States and Canada","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Genetic Mapping and Diversity in Plants and Animals","field":"Biochemistry, Genetics and Molecular Biology","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Institute of Food and Agriculture","keywords":"Metadata; Computer science; Database; Environmental data; Analytics; Data mining; Consistency (knowledge bases); Pipeline (software); Big data; Data quality; Data science; Biology; Ecology; Artificial intelligence","score_opus":0.04317721726563633,"score_gpt":0.2687151645684801,"score_spread":0.22553794730284377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386492988","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":[0.03369481,0.0005641482,0.0053699235,0.0003782994,0.00003213216,0.00016378301,0.94601613,0.006039266,0.007741456],"genre_scores_gemma":[0.07029828,0.00072421576,0.016223071,0.00017021944,0.000009974333,0.00018434481,0.90973175,0.00061896676,0.0020392719],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99920624,0.00004473676,0.000060245326,0.0002194187,0.00034479794,0.00012448111],"domain_scores_gemma":[0.99700963,0.00019909831,0.00022716956,0.0003887353,0.0017138283,0.00046150692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010528528,0.0008461705,0.00052230945,0.0042998516,0.0017715076,0.0023099058,0.0018731822,0.0005628877,0.004389783],"category_scores_gemma":[0.003673385,0.00040272932,0.00066781486,0.009476703,0.0004843973,0.0012123488,0.0016482876,0.00075417996,0.0019125566],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016312549,0.00022333353,0.16165769,0.0015718176,0.0008976272,0.00087633665,0.0016221625,0.025570283,0.02387193,0.022535602,0.6392765,0.12026549],"study_design_scores_gemma":[0.00027377254,0.000049736966,0.2830285,0.00039322916,0.0002631959,0.00021240652,0.0015302551,0.036243197,0.012086022,0.0047073965,0.66086066,0.00035159817],"about_ca_topic_score_codex":0.9258906,"about_ca_topic_score_gemma":0.93357635,"teacher_disagreement_score":0.074109375,"about_ca_system_score_codex":0.011602446,"about_ca_system_score_gemma":0.027091948,"threshold_uncertainty_score":0.1490916},"labels":[],"label_agreement":null},{"id":"W4386761026","doi":"10.5194/essd-15-4077-2023","title":"Inventory of glaciers and perennial snowfields of the conterminous USA","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":24,"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. Forest Service; University of Waterloo","keywords":"Shapefile; Glacier; Satellite imagery; Snow; Physical geography; Perennial plant; Aerial imagery; Aerial survey; Cartography; Geography; Geology; Remote sensing; Meteorology; Computer science","score_opus":0.06393316467247029,"score_gpt":0.2556061600195613,"score_spread":0.19167299534709104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386761026","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":[0.44548288,0.0042849635,0.006200514,0.00059528765,0.00014784935,0.0003149471,0.48291227,0.0012042229,0.058857072],"genre_scores_gemma":[0.42695722,0.0038334127,0.019222884,0.00023700905,0.00009577049,0.00037671186,0.52607393,0.00019568134,0.023007272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998456,0.000013739335,0.000011633499,0.000030804913,0.00008030513,0.000017802231],"domain_scores_gemma":[0.9990938,0.00005740661,0.00014889063,0.00006394931,0.000543736,0.00009236052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030078206,0.00037216517,0.00016854022,0.0033291662,0.0003319653,0.0005016414,0.00031947912,0.000089114146,0.0044003446],"category_scores_gemma":[0.000527914,0.00016750621,0.00016194586,0.004281704,0.000107347936,0.0005319189,0.00036938832,0.00026395256,0.0010272235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001522229,0.0001399548,0.44380844,0.0004209644,0.00014921118,0.00030929456,0.0012046435,0.0034935807,0.0044704676,0.001710134,0.25057474,0.29356635],"study_design_scores_gemma":[0.000019963705,0.00005259771,0.6621108,0.00027137864,0.000051611773,0.00017546705,0.0011222477,0.0031060348,0.0013730129,0.0005025588,0.33119297,0.000021424896],"about_ca_topic_score_codex":0.16803844,"about_ca_topic_score_gemma":0.28164738,"teacher_disagreement_score":0.16803844,"about_ca_system_score_codex":0.0007390301,"about_ca_system_score_gemma":0.0014698369,"threshold_uncertainty_score":0.3341207},"labels":[],"label_agreement":null},{"id":"W4386931049","doi":"10.5194/essd-15-4127-2023","title":"Spatiotemporal variability in pH and carbonate parameters on the Canadian Atlantic continental shelf between 2014 and 2022","year":2023,"lang":"en","type":"article","venue":"Earth system science data","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":true,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oceanography; Alkalinity; Aragonite; Carbonate; Ocean acidification; Plankton; Continental shelf; Salinity; Estuary; Environmental science; Total inorganic carbon; Carbon dioxide; Geology; Mixed layer; Climate change; Chemistry; Ecology; Biology","score_opus":0.03476744756739137,"score_gpt":0.23990914681839712,"score_spread":0.20514169925100575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386931049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97244304,0.0010689422,0.00016812645,0.00043009224,0.0000414551,0.000019564772,0.022959827,0.000029081422,0.0028397895],"genre_scores_gemma":[0.9868052,0.00039354851,0.0001479578,0.000077229655,0.00001147461,0.000014589632,0.011548874,0.000008471229,0.0009926017],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994671,0.00002303213,0.000032944463,0.00013560029,0.00020525866,0.00013603098],"domain_scores_gemma":[0.997675,0.000060674527,0.00029548546,0.00007137149,0.0016429429,0.00025461023],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005546345,0.00039169774,0.00034609882,0.0016951954,0.0010857665,0.0011587644,0.00083848345,0.00042270648,0.0013436985],"category_scores_gemma":[0.0012684218,0.00022253918,0.0007088576,0.004173854,0.0004554214,0.00037096968,0.0009671108,0.0005004911,0.00020102448],"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":[0.00006938288,0.000010501703,0.9922341,0.000034174886,0.000160694,0.000060129365,0.00025975128,0.00026887734,0.0005123924,0.00008283541,0.0022851904,0.0040219827],"study_design_scores_gemma":[0.0000010687911,0.0000030696829,0.9986173,0.000008746856,0.00001489263,0.000010775061,0.00020696186,0.0002137987,0.000037602098,0.000004970437,0.00087509817,0.000005675205],"about_ca_topic_score_codex":0.97180545,"about_ca_topic_score_gemma":0.9852309,"teacher_disagreement_score":0.028194547,"about_ca_system_score_codex":0.00910111,"about_ca_system_score_gemma":0.009222898,"threshold_uncertainty_score":0.06603348},"labels":[],"label_agreement":null},{"id":"W4387703261","doi":"10.5194/essd-15-4571-2023","title":"ET-WB: water-balance-based estimations of terrestrial evaporation over global land and major global basins","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","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":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"National Key Research and Development Program of China; University of Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Environmental science; Water cycle; Precipitation; Range (aeronautics); Surface runoff; Climatology; Probabilistic logic; Satellite; Water balance; Climate change; Evaporation; Atmospheric sciences; Meteorology; Mathematics; Statistics; Geology; Geography; Physics","score_opus":0.029879152720733087,"score_gpt":0.28923149047695956,"score_spread":0.25935233775622646,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387703261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8757566,0.000280651,0.0232993,0.00016650093,0.0000536374,0.00012426087,0.095286906,0.0026939476,0.0023381675],"genre_scores_gemma":[0.8565525,0.00014285356,0.0278902,0.000052807605,0.000029267223,0.00020988725,0.11433137,0.00025237902,0.0005388724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99978775,0.000056413974,0.000019311727,0.00007248272,0.00004644401,0.00001760358],"domain_scores_gemma":[0.9996032,0.000081404134,0.00007421791,0.0001110626,0.00010005872,0.00003006102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074830354,0.0007298065,0.00033682867,0.0011206291,0.00017375541,0.00037382627,0.00062314,0.00045235877,0.00095876714],"category_scores_gemma":[0.0011558766,0.00022152555,0.00077862927,0.0016692176,0.00022717543,0.00068366004,0.0005190181,0.00040593272,0.0004595021],"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":[0.00045480957,0.00033628798,0.19551298,0.0004107669,0.00082165917,0.00022343917,0.00011995956,0.7080478,0.015345316,0.0015639537,0.019974032,0.057188958],"study_design_scores_gemma":[0.00017162821,0.00010985106,0.18433818,0.000037947004,0.000101631864,0.00012200849,0.0000661923,0.7930755,0.012245869,0.0012396312,0.008424096,0.00006750832],"about_ca_topic_score_codex":0.007965027,"about_ca_topic_score_gemma":0.008112682,"teacher_disagreement_score":0.007965027,"about_ca_system_score_codex":0.00029474826,"about_ca_system_score_gemma":0.00039637185,"threshold_uncertainty_score":0.015837312},"labels":[],"label_agreement":null},{"id":"W4389056040","doi":"10.5194/essd-15-5135-2023","title":"Measurements of nearshore ocean-surface kinematics through coherent arrays of free-drifting buoys","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Coastal and Marine Dynamics","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":"Engineer Research and Development Center; U.S. Coastal Research Program; McGill University","keywords":"Buoy; Geodesy; Geology; Inertial measurement unit; Ranging; Remote sensing; Reference frame; Wind wave; Meteorology; Computer science; Physics; Frame (networking); Telecommunications","score_opus":0.08724194885358025,"score_gpt":0.27104157103625937,"score_spread":0.18379962218267912,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389056040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880441,0.00005843201,0.006532135,0.000042486565,0.000047453002,0.00003697325,0.0035827588,0.00022433484,0.0014312698],"genre_scores_gemma":[0.98475075,0.00005752962,0.00960485,0.000034074903,0.00001664101,0.000049997383,0.004922316,0.000025322195,0.0005384643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999757,0.000023503833,0.000011758413,0.0000829256,0.00009580135,0.000028903978],"domain_scores_gemma":[0.99959475,0.000047361504,0.00007632283,0.000056770263,0.0001604384,0.00006433281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002526069,0.0003594439,0.00027636546,0.0006326226,0.00028938398,0.00028402792,0.00033141096,0.00017749025,0.0007817492],"category_scores_gemma":[0.0006339608,0.00019623128,0.00018500775,0.0007301411,0.00018300292,0.0003837583,0.00045449936,0.00031294176,0.0003156502],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065085216,0.00060472643,0.61594105,0.00021794662,0.00030716838,0.00027688371,0.00048370915,0.026779462,0.23149401,0.00053628697,0.0070203403,0.115687564],"study_design_scores_gemma":[0.00014155687,0.000583185,0.8978771,0.000027191023,0.000109070206,0.00009906909,0.00023816444,0.07799446,0.019452978,0.00026001452,0.0031684532,0.00004880015],"about_ca_topic_score_codex":0.008606027,"about_ca_topic_score_gemma":0.022420261,"teacher_disagreement_score":0.008606027,"about_ca_system_score_codex":0.00025758022,"about_ca_system_score_gemma":0.00037777674,"threshold_uncertainty_score":0.017111838},"labels":[],"label_agreement":null},{"id":"W4389195056","doi":"10.5194/essd-15-5301-2023","title":"Global Carbon Budget 2023","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":1362,"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":"Global Ocean Monitoring and Observing Program; Ocean Acidification Program; Tsinghua Shenzhen International Graduate School; Japan Meteorological Agency; National Key Research and Development Program of China; Hakai Institute; Horizon 2020 Framework Programme; National Oceanic and Atmospheric Administration; European Centre for Medium-Range Weather Forecasts; Natural Environment Research Council; Vlaamse regering; Norges Forskningsråd; National Cancer Institute; HORIZON EUROPE Framework Programme; Nuclear Safety and Security Commission; Bundesministerium für Bildung und Forschung; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Fundamental Research Funds for the Central Universities; Sight Research UK; National Centre for Atmospheric Science; Ministry of the Environment, Government of Japan; Ministry of Education, Culture, Sports, Science and Technology; European Commission; UK Research and Innovation; National Science Foundation; Royal Society; Helmholtz Association; Ministry of Environment; Fonds Wetenschappelijk Onderzoek; National Aeronautics and Space Administration; Environmental Restoration and Conservation Agency; University of Miami; National Natural Science Foundation of China; Institut de Recherche pour le Développement; Tula Foundation; National Computational Infrastructure; National Center for Atmospheric Research","keywords":"Biosphere; Environmental science; Carbon cycle; Greenhouse gas; Carbon sink; Climate change; Biogeochemistry; Sink (geography); Carbon dioxide in Earth's atmosphere; Global change; Atmospheric sciences; Climatology; Land use, land-use change and forestry; Land use; Oceanography; Ecosystem; Geology; Ecology","score_opus":0.015743650422330398,"score_gpt":0.23976814244888514,"score_spread":0.22402449202655475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389195056","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":[0.00355038,0.023197781,0.0068764603,0.030785589,0.015236962,0.0005340248,0.2713788,0.002832295,0.64560777],"genre_scores_gemma":[0.07455323,0.037214488,0.024218297,0.020225402,0.0029303513,0.003462053,0.3031699,0.0018978753,0.5323285],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953103,0.00007290385,0.000022358427,0.00008224049,0.00019564395,0.000095754665],"domain_scores_gemma":[0.99948967,0.000030401763,0.00003481098,0.000044352204,0.0003391832,0.00006153162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013128339,0.0018488404,0.0008168879,0.0015453456,0.00067169155,0.0024110854,0.0009629462,0.002107995,0.13152575],"category_scores_gemma":[0.0013913368,0.00037920248,0.0007020861,0.0034130337,0.00045825765,0.002135455,0.0014642864,0.0018995688,0.08623628],"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":[0.0002219641,0.000038573893,0.0009716811,0.00092692993,0.00007642463,0.00009433537,0.000038075155,0.001152767,0.0014569367,0.027556561,0.7538976,0.2135681],"study_design_scores_gemma":[0.000019410027,0.0000125487495,0.0006600048,0.00012968201,0.000008986946,0.000024583886,0.000018091236,0.00016629239,0.00018887437,0.0029806166,0.99578434,0.000006651644],"about_ca_topic_score_codex":0.03476536,"about_ca_topic_score_gemma":0.017194387,"teacher_disagreement_score":0.13152575,"about_ca_system_score_codex":0.0035348802,"about_ca_system_score_gemma":0.0072223656,"threshold_uncertainty_score":0.4399975},"labels":[],"label_agreement":null},{"id":"W4389486544","doi":"10.5194/essd-15-5597-2023","title":"GTWS-MLrec: global terrestrial water storage reconstruction by machine learning from 1940 to present","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Geophysics and Gravity Measurements","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fundamental Research Funds for the Central Universities; Natural Environment Research Council; U.S. Geological Survey; Wuhan University; National Natural Science Foundation of China; Centre for Ecology and Hydrology; UK Research and Innovation; Sight Research UK; Environment and Climate Change Canada; Agência Nacional de Águas","keywords":"Environmental science; Water cycle; Land cover; Streamflow; Climatology; Satellite; Vegetation (pathology); Meteorology; Drainage basin; Land use; Geology; Geography","score_opus":0.050948684664940215,"score_gpt":0.24706752127481524,"score_spread":0.19611883660987503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389486544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82591534,0.001171879,0.14674215,0.001002805,0.00025695853,0.00009439014,0.012039232,0.008793365,0.003983984],"genre_scores_gemma":[0.91177183,0.00017801691,0.06400307,0.00015924647,0.00010339927,0.00008113309,0.022125393,0.00024825896,0.0013297651],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997341,0.00006695236,0.000017144386,0.00009029173,0.000055041794,0.000036378806],"domain_scores_gemma":[0.99954873,0.0000886499,0.00008120663,0.000115619834,0.00013804363,0.000027662805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009252632,0.0011850693,0.00054892065,0.0014714467,0.00028898584,0.0005466559,0.00096363365,0.00083719287,0.0011136227],"category_scores_gemma":[0.0016966406,0.0003232605,0.001120474,0.0013598131,0.00037255016,0.00083921803,0.0006039442,0.00081517757,0.00074287446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001876926,0.00017661136,0.0352649,0.00008732596,0.00036733013,0.00016079849,0.000046992427,0.8141447,0.0035754268,0.0010290284,0.011358772,0.13360058],"study_design_scores_gemma":[0.000019476616,0.000020681739,0.0063813697,0.000008348269,0.000017688899,0.000018842742,0.000011378065,0.9908415,0.0013219566,0.000504116,0.0008407457,0.00001384385],"about_ca_topic_score_codex":0.013306203,"about_ca_topic_score_gemma":0.0132178515,"teacher_disagreement_score":0.013306203,"about_ca_system_score_codex":0.00054394617,"about_ca_system_score_gemma":0.00083507044,"threshold_uncertainty_score":0.026457489},"labels":[],"label_agreement":null},{"id":"W4389951876","doi":"10.5194/essd-15-5785-2023","title":"Atmospheric and surface observations during the Saint John River Experiment on Cold Season Storms (SAJESS)","year":2023,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"Environment and Climate Change Canada; University of Manitoba; University of Northern British Columbia","funders":"Alliance de recherche numérique du Canada; Canada First Research Excellence Fund; Canada Research Chairs; École Polytechnique Fédérale de Lausanne; Global Water Futures; Canada Excellence Research Chairs, Government of Canada; Canada Foundation for Innovation; Natural Sciences and Engineering Research Council of Canada; University of Northern British Columbia","keywords":"Disdrometer; Snowpack; Precipitation; Storm; Environmental science; Winter storm; Climatology; Snow; Drainage basin; Automatic weather station; Structural basin; Spring (device); Weather radar; Hydrology (agriculture); Meteorology; Geology; Radar; Geography; Rain gauge","score_opus":0.05433608034899928,"score_gpt":0.24735005221979045,"score_spread":0.19301397187079117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389951876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910171,0.000019211115,0.00017058186,0.00005376788,0.000010309677,0.00005744346,0.0062440457,0.000043142565,0.0023844147],"genre_scores_gemma":[0.9799824,0.000070254246,0.0015846797,0.00009114286,0.000028145107,0.0001553161,0.015223941,0.00002506333,0.0028389941],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99971074,0.000033428034,0.00001152135,0.000059378443,0.00014118064,0.000043594806],"domain_scores_gemma":[0.9993154,0.00008286779,0.00011230974,0.00007530476,0.00029067602,0.00012343568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697135,0.00019894473,0.00020955157,0.00028685847,0.00081695523,0.0004389535,0.0002981818,0.000228189,0.0010940598],"category_scores_gemma":[0.0004984722,0.00015731172,0.0001397469,0.0005506061,0.0002669071,0.00018851919,0.0003914202,0.0004671,0.00022685988],"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":[0.0007137487,0.0005877125,0.946616,0.00005367147,0.00011422897,0.00021882082,0.0010531966,0.001187787,0.024648683,0.0002202426,0.011182464,0.013403467],"study_design_scores_gemma":[0.000023266528,0.00005809555,0.9952159,0.0000031001923,0.000007815066,0.000010607032,0.00015843328,0.0007521903,0.0010301087,0.000012932889,0.0027215937,0.000005989448],"about_ca_topic_score_codex":0.32541507,"about_ca_topic_score_gemma":0.63740414,"teacher_disagreement_score":0.6745849,"about_ca_system_score_codex":0.0011247419,"about_ca_system_score_gemma":0.0016637406,"threshold_uncertainty_score":0.6470419},"labels":[],"label_agreement":null},{"id":"W4390867776","doi":"10.5194/essd-16-75-2024","title":"AltiMaP: altimetry mapping procedure for hydrography data","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Flood Risk Assessment and Management","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":"University of Waterloo","funders":"Japan Society for the Promotion of Science","keywords":"Digital elevation model; Terrain; Altimeter; Elevation (ballistics); Hydrography; Remote sensing; Satellite; Environmental science; Channel (broadcasting); Satellite altimetry; Geology; Hydrology (agriculture); Computer science; Cartography; Geography; Mathematics","score_opus":0.053531773330297815,"score_gpt":0.31162496638926285,"score_spread":0.25809319305896505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390867776","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":[0.022975337,0.00011362993,0.733292,0.00017655057,0.00019582982,0.0005595225,0.050137646,0.18550682,0.007042668],"genre_scores_gemma":[0.10917978,0.00011879544,0.80078197,0.00017282723,0.000083193365,0.0020510114,0.06540686,0.015473327,0.0067322906],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955434,0.0000630055,0.00004103457,0.00013791912,0.00016229595,0.000041490526],"domain_scores_gemma":[0.9990638,0.00019795293,0.0001689423,0.0002352521,0.00028286222,0.000051146635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084365543,0.0010299315,0.00042851656,0.00172019,0.00055384554,0.0008384878,0.00095570006,0.00034218398,0.024762345],"category_scores_gemma":[0.003599089,0.00067203253,0.00047889192,0.0015187546,0.00024621596,0.00090617104,0.0014769476,0.001141842,0.016707828],"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":[0.0004158215,0.00016696159,0.021463579,0.00037718585,0.00019055742,0.00039502943,0.00080627744,0.016177824,0.027567584,0.0051012374,0.35911927,0.5682187],"study_design_scores_gemma":[0.00025033855,0.00023373273,0.06940898,0.00009933034,0.000083449326,0.0006495518,0.0005290161,0.3473285,0.098586604,0.013190306,0.46939138,0.0002487621],"about_ca_topic_score_codex":0.0026048906,"about_ca_topic_score_gemma":0.00360062,"teacher_disagreement_score":0.024762345,"about_ca_system_score_codex":0.00028766584,"about_ca_system_score_gemma":0.0010499916,"threshold_uncertainty_score":0.08283824},"labels":[],"label_agreement":null},{"id":"W4391045585","doi":"10.5194/essd-16-471-2024","title":"Oceanographic dataset collected during the 2021 scientific expedition of the Canadian Coast Guard Ship <i>Amundsen</i>","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"Canada Foundation for Innovation; Université Laval","keywords":"Oceanography; Arctic; Transect; Coast guard; The arctic; Environmental science; Water column; Research vessel; Geology; Seabed","score_opus":0.01971480427749142,"score_gpt":0.21869303470478962,"score_spread":0.1989782304272982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391045585","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":[0.025976276,0.0002770344,0.0003591405,0.00021232478,0.00009336675,0.00010205211,0.96436346,0.0004250675,0.008191242],"genre_scores_gemma":[0.025127452,0.00019654678,0.0017119361,0.00010457453,0.000017942246,0.000116342,0.9697823,0.000060965267,0.0028820168],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991373,0.00003039177,0.000054886943,0.00014347988,0.00045885806,0.00017503691],"domain_scores_gemma":[0.99772865,0.00004645048,0.00013903705,0.0001432985,0.0017487007,0.00019386548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005287855,0.00081556453,0.0005766508,0.003273709,0.0017451172,0.0010706761,0.0008529291,0.00057431933,0.005744375],"category_scores_gemma":[0.0014442427,0.00023877584,0.00047810332,0.007811282,0.00032745503,0.00032300816,0.0011696122,0.00057429937,0.003668204],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033593437,0.000112221394,0.15111957,0.0009931466,0.0003183892,0.0004691666,0.0006859498,0.0030139454,0.006160868,0.0009438577,0.78463405,0.051212877],"study_design_scores_gemma":[0.000083754574,0.00004026514,0.5115911,0.00029987114,0.000075354576,0.00008803761,0.0010266547,0.0019703296,0.0025709146,0.00014004223,0.48202538,0.00008837594],"about_ca_topic_score_codex":0.9584723,"about_ca_topic_score_gemma":0.9828022,"teacher_disagreement_score":0.04152769,"about_ca_system_score_codex":0.0062918696,"about_ca_system_score_gemma":0.020292869,"threshold_uncertainty_score":0.08354443},"labels":[],"label_agreement":null},{"id":"W4391224205","doi":"10.5194/essd-16-647-2024","title":"A decade of marine inorganic carbon chemistry observations in the northern Gulf of Alaska – insights into an environment in transition","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":false,"ca_institutions":"","funders":"Hakai Institute; National Oceanic and Atmospheric Administration; North Pacific Research Board; Exxon Valdez Oil Spill Trustee Council","keywords":"Oceanography; Environmental science; Carbon fibers; Earth science; Environmental chemistry; Geology; Chemistry; Materials science","score_opus":0.02280054253511591,"score_gpt":0.22441253596254024,"score_spread":0.20161199342742434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391224205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863716,0.0030711931,0.00053176854,0.0005385148,0.00011345445,0.000009848293,0.0056790533,0.000060308095,0.0036242828],"genre_scores_gemma":[0.98664993,0.0022353057,0.0020052444,0.0002258188,0.00005800773,0.00001491654,0.0077857496,0.000018332319,0.0010068483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998087,0.000019230129,0.000028447865,0.00006659779,0.000056414563,0.0000205984],"domain_scores_gemma":[0.9993293,0.000052870884,0.00017058534,0.00005489346,0.00028529306,0.00010700469],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407154,0.00023355946,0.0002070278,0.0010197889,0.0004081215,0.00075998594,0.0002256006,0.0003921485,0.00046703944],"category_scores_gemma":[0.00071353524,0.000132397,0.00020210708,0.0016362866,0.000249166,0.00082614075,0.000689418,0.00043712207,0.00017438264],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010387876,0.00007091952,0.95236564,0.00016823664,0.00011425443,0.0004283477,0.0010441295,0.0010587109,0.006562689,0.0003140836,0.0033639742,0.034405086],"study_design_scores_gemma":[0.0000021315896,0.000027129421,0.9836264,0.0000946,0.00002927306,0.00006785386,0.0013377616,0.00087888894,0.00084852404,0.00016001544,0.012913479,0.000013920007],"about_ca_topic_score_codex":0.06914135,"about_ca_topic_score_gemma":0.1231246,"teacher_disagreement_score":0.06914135,"about_ca_system_score_codex":0.0006110508,"about_ca_system_score_gemma":0.00075638347,"threshold_uncertainty_score":0.13747782},"labels":[],"label_agreement":null},{"id":"W4392197104","doi":"10.5194/essd-16-1063-2024","title":"PalVol v1: a proxy-based semi-stochastic ensemble reconstruction of volcanic stratospheric sulfur injection for the last glacial cycle (140 000–50 BP)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":"University of Saskatchewan","funders":"Akademie der Naturwissenschaften; Chinese Academy of Sciences; Deutsches Klimarechenzentrum; GEOMAR Helmholtz-Zentrum für Ozeanforschung Kiel; Past Global Changes","keywords":"Proxy (statistics); Volcano; Glacial period; Climatology; Geology; Sulfur; Environmental science; Atmospheric sciences; Mathematics; Statistics; Geomorphology; Geochemistry; Chemistry","score_opus":0.028786415291523457,"score_gpt":0.2653265580863007,"score_spread":0.23654014279477723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392197104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93793714,0.0002615775,0.034879908,0.00018363527,0.000063567204,0.00003505861,0.020165468,0.0038302478,0.002643289],"genre_scores_gemma":[0.9530219,0.000076956596,0.016821174,0.000032478594,0.00003255755,0.000042691085,0.028878288,0.00027872992,0.00081522524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986374,0.00003000841,0.0000075396215,0.00005398712,0.000029131425,0.000015644031],"domain_scores_gemma":[0.99963784,0.00006662795,0.000071097376,0.00008453318,0.00009701819,0.000042864875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070650154,0.0005189919,0.00034106814,0.0009943922,0.0002392145,0.000707618,0.0007525632,0.00062958995,0.0021693625],"category_scores_gemma":[0.0015105329,0.00040699422,0.00062662223,0.00080859964,0.0002353379,0.00036743327,0.00057406514,0.00048384236,0.00067643216],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025553643,0.00013971016,0.12043645,0.00009405879,0.0006031678,0.00022325448,0.00010587444,0.8299822,0.00834957,0.0012404594,0.005900032,0.032669667],"study_design_scores_gemma":[0.00004820215,0.000046600897,0.044984613,0.000013328875,0.000035253575,0.00005287946,0.000030216395,0.94994336,0.0014077656,0.0005495645,0.0028634525,0.000024868203],"about_ca_topic_score_codex":0.016139783,"about_ca_topic_score_gemma":0.021320563,"teacher_disagreement_score":0.016139783,"about_ca_system_score_codex":0.0004813011,"about_ca_system_score_gemma":0.0007953744,"threshold_uncertainty_score":0.032091677},"labels":[],"label_agreement":null},{"id":"W4392488667","doi":"10.5194/essd-16-1177-2024","title":"PANABIO: a point-referenced PAN-Arctic data collection of benthic BIOtas","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Environmental DNA in Biodiversity Studies","field":"Environmental Science","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":"H2020 Marie Skłodowska-Curie Actions; Bundesanstalt für Landwirtschaft und Ernährung; Deutsche Forschungsgemeinschaft","keywords":"Benthic zone; The arctic; Arctic; Point (geometry); Oceanography; Environmental science; Geology; Mathematics","score_opus":0.05065621292052291,"score_gpt":0.26609754767800015,"score_spread":0.21544133475747723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392488667","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":[0.07552875,0.00075974717,0.006051294,0.00012203401,0.00012914525,0.00047407707,0.9094246,0.0010294839,0.0064807553],"genre_scores_gemma":[0.041483644,0.00034717273,0.019434428,0.0000754858,0.00004377933,0.0008439859,0.9359432,0.00017602048,0.0016522787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881077,0.00017432628,0.00015949931,0.0003547442,0.0003631079,0.00013751286],"domain_scores_gemma":[0.99728096,0.00011572598,0.0004382444,0.00041179382,0.0012322627,0.00052109855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016659874,0.00089461997,0.00064240507,0.0038584983,0.000855643,0.0012015221,0.00073732814,0.00036278283,0.0034078702],"category_scores_gemma":[0.0021420931,0.0004133169,0.0005588452,0.0051213643,0.00023870688,0.000696092,0.0022022433,0.0005869877,0.0027449944],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017258914,0.0003962972,0.52463746,0.0025590544,0.001048506,0.0006268763,0.002270193,0.003892358,0.024426458,0.0024490196,0.26346603,0.17250194],"study_design_scores_gemma":[0.00013088885,0.00011154187,0.6541258,0.00058400555,0.0001503318,0.000224026,0.0011200819,0.0032419518,0.00436747,0.00057415495,0.33526286,0.00010686096],"about_ca_topic_score_codex":0.071624,"about_ca_topic_score_gemma":0.1213887,"teacher_disagreement_score":0.071624,"about_ca_system_score_codex":0.00084223057,"about_ca_system_score_gemma":0.003094769,"threshold_uncertainty_score":0.14241421},"labels":[],"label_agreement":null},{"id":"W4392727143","doi":"10.5194/essd-16-1247-2024","title":"Mapping of sea ice concentration using the NASA NIMBUS 5 Electrically Scanning Microwave Radiometer data from 1972–1977","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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 Manitoba","funders":"","keywords":"Radiometer; Microwave radiometer; Remote sensing; Microwave; Environmental science; Meteorology; Geology; Physics","score_opus":0.0569402113654092,"score_gpt":0.26814723466057105,"score_spread":0.21120702329516186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392727143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692759,0.00060510676,0.0009818116,0.00013424605,0.00007835985,0.00004206326,0.021781517,0.000106741296,0.0069942833],"genre_scores_gemma":[0.93477696,0.00056989625,0.0038904024,0.00006719577,0.00011894246,0.00008175084,0.058097877,0.000031233114,0.002365821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998498,0.00001423394,0.000012746198,0.000028786717,0.00007034808,0.000024045252],"domain_scores_gemma":[0.9994541,0.00003895693,0.000100202975,0.000029414534,0.00032792715,0.000049447026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029115318,0.00029924494,0.00015665578,0.0025354347,0.00027300444,0.00036680314,0.0002581927,0.00017586259,0.0011005045],"category_scores_gemma":[0.0006495991,0.00009439544,0.00016604623,0.0024083676,0.00018815626,0.00023674064,0.0002849273,0.00023982652,0.0003847173],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007173611,0.00022720735,0.8233734,0.00030723185,0.00028948262,0.001391442,0.0006274904,0.022561982,0.0135010015,0.0009006575,0.02332745,0.112775326],"study_design_scores_gemma":[0.000018005405,0.000037281105,0.97642016,0.000031956384,0.000027322483,0.00004709319,0.00018846187,0.0047932863,0.002842882,0.000039550534,0.015539166,0.000014900835],"about_ca_topic_score_codex":0.13663995,"about_ca_topic_score_gemma":0.23827378,"teacher_disagreement_score":0.13663995,"about_ca_system_score_codex":0.0014825878,"about_ca_system_score_gemma":0.0008435156,"threshold_uncertainty_score":0.27168924},"labels":[],"label_agreement":null},{"id":"W4392741580","doi":"10.5194/essd-16-1283-2024","title":"Global datasets of hourly carbon and water fluxes simulated using a satellite-based process model with dynamic parameterizations","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon Dynamics","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; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Geological Survey; National Oceanic and Atmospheric Administration","keywords":"Satellite; Environmental science; Process (computing); Carbon flux; Computer science; Climatology; Meteorology; Remote sensing; Geology","score_opus":0.016866022200038848,"score_gpt":0.2607639678749868,"score_spread":0.24389794567494794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392741580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9115006,0.00018596876,0.011610857,0.000362524,0.00009276592,0.000058054415,0.071591966,0.0017443821,0.0028528036],"genre_scores_gemma":[0.91957694,0.00015964897,0.009668704,0.000075949814,0.000023611978,0.00007905308,0.06986286,0.00009553426,0.00045767773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998642,0.000024988853,0.000012502907,0.000054885037,0.000025806636,0.00001754502],"domain_scores_gemma":[0.9994429,0.00012817394,0.00007754652,0.00017916466,0.00012703659,0.00004525285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046995835,0.00080935436,0.00032703293,0.00067582383,0.00024932594,0.0004389786,0.00072107714,0.0008173309,0.0013875206],"category_scores_gemma":[0.00087819475,0.00030693464,0.0008067011,0.001833694,0.00037100204,0.00074947433,0.00023960164,0.00074464,0.00034151378],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022548692,0.00029626754,0.042758126,0.00013093316,0.00031009628,0.00017300062,0.000071453745,0.92879355,0.006677454,0.0018534239,0.0076171877,0.011093051],"study_design_scores_gemma":[0.0002356031,0.00010630357,0.075138025,0.000021245613,0.00008856198,0.00007243807,0.00006397059,0.9092446,0.0058101057,0.0016223703,0.00753295,0.000063829146],"about_ca_topic_score_codex":0.02427727,"about_ca_topic_score_gemma":0.015661715,"teacher_disagreement_score":0.02427727,"about_ca_system_score_codex":0.0005946681,"about_ca_system_score_gemma":0.0006158313,"threshold_uncertainty_score":0.048271894},"labels":[],"label_agreement":null},{"id":"W4393004723","doi":"10.5194/essd-16-1523-2024","title":"Meteorological, snow and soil data, CO <sub>2</sub> , water and energy fluxes from a low-Arctic valley of Northern Quebec","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":"Takuvik Joint International Laboratory; Université Laval; Wilfrid Laurier University; Makivik Corporation","funders":"Horizon 2020; Fondation BNP Paribas; Natural Sciences and Engineering Research Council of Canada; Institut Polaire Français Paul Emile Victor","keywords":"Tundra; Snow; Environmental science; Arctic; Boreal; Vegetation (pathology); Eddy covariance; Taiga; Black spruce; Ecotone; Arctic vegetation; Physical geography; Shrub; Climatology; Climate change; Ecosystem; Ecology; Geography; Geology; Forestry; Oceanography; Meteorology","score_opus":0.04348121447535255,"score_gpt":0.2416899337544662,"score_spread":0.19820871927911365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393004723","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7462365,0.00050299166,0.0007552939,0.0004416818,0.00003074024,0.0001220483,0.23291944,0.00020936322,0.01878188],"genre_scores_gemma":[0.88603276,0.00034516377,0.0017376237,0.00013657911,0.000014075792,0.00008754077,0.09320365,0.00004200941,0.018400706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985814,0.0000095369305,0.0000071430763,0.000031342373,0.00004842126,0.000045444598],"domain_scores_gemma":[0.9993405,0.00004262319,0.000060711398,0.00002797489,0.00040926086,0.0001189623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017464989,0.00031304976,0.00019864771,0.0009649318,0.0010542666,0.0007743897,0.00052762474,0.00023052366,0.006503496],"category_scores_gemma":[0.00036093913,0.00012213942,0.0002193632,0.0027549474,0.00025061364,0.00019818758,0.00023271368,0.00030996028,0.0007991452],"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":[0.0003152618,0.00022695353,0.8641933,0.00025172668,0.00024275618,0.0005123084,0.00080776983,0.0074773715,0.004172006,0.00078203785,0.072889194,0.048129193],"study_design_scores_gemma":[0.000033568962,0.000015776697,0.9664106,0.000042894506,0.000021447775,0.000032805692,0.0005413521,0.0047257254,0.0005970072,0.000039457525,0.02751763,0.000021725526],"about_ca_topic_score_codex":0.9958677,"about_ca_topic_score_gemma":0.9982449,"teacher_disagreement_score":0.012954853,"about_ca_system_score_codex":0.012954853,"about_ca_system_score_gemma":0.011081599,"threshold_uncertainty_score":0.0939945},"labels":[],"label_agreement":null},{"id":"W4395666410","doi":"10.5194/essd-16-1965-2024","title":"The 2023 National Offshore Wind data set (NOW-23)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Meteorological Phenomena and Simulations","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":false,"ca_institutions":"North Island College","funders":"Bureau of Ocean Energy Management; Office of Energy Efficiency and Renewable Energy","keywords":"Offshore wind power; Submarine pipeline; Resource (disambiguation); Data set; Meteorology; Grid; Weather Research and Forecasting Model; Computer science; Environmental science; Set (abstract data type); Wind power; Geography; Geology; Oceanography; Engineering","score_opus":0.12412518831116967,"score_gpt":0.3132700038833786,"score_spread":0.18914481557220894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395666410","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":[0.006132334,0.00009903329,0.0014305357,0.00020692087,0.00012506453,0.00005284819,0.98719317,0.0005693128,0.0041907215],"genre_scores_gemma":[0.008286663,0.000052727515,0.002081984,0.000068389985,0.000014736264,0.00009009855,0.98866946,0.00008182243,0.0006542319],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99944824,0.00007650525,0.00007562151,0.000106906955,0.0002360043,0.000056704048],"domain_scores_gemma":[0.99823797,0.00017389048,0.00019481443,0.00031135505,0.0009604085,0.00012150134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009154977,0.00069986423,0.0005686786,0.0014597401,0.00044230238,0.0010084958,0.0009178813,0.0007537514,0.007840013],"category_scores_gemma":[0.003184891,0.00028335635,0.00060353277,0.0037474318,0.00018286268,0.0009790536,0.00089745957,0.001091046,0.007592539],"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":[0.00027455002,0.00009949443,0.03012561,0.0004076638,0.00016664423,0.00013492133,0.000091510075,0.0083397785,0.0011379282,0.0029578747,0.93563056,0.02063353],"study_design_scores_gemma":[0.000309438,0.00006259651,0.08383462,0.0002728706,0.00006186482,0.00011372584,0.00036284857,0.011513058,0.002423017,0.0030100315,0.89793736,0.00009856701],"about_ca_topic_score_codex":0.059077926,"about_ca_topic_score_gemma":0.07774784,"teacher_disagreement_score":0.059077926,"about_ca_system_score_codex":0.0007470716,"about_ca_system_score_gemma":0.0016328122,"threshold_uncertainty_score":0.11746812},"labels":[],"label_agreement":null},{"id":"W4396497225","doi":"10.5194/essd-16-2047-2024","title":"The annual update GLODAPv2.2023: the global interior ocean biogeochemical data product","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"NOAA Pacific Marine Environmental Laboratory; Global Ocean Monitoring and Observing Program; Instituto Español de Oceanografía; Agencia Estatal de Investigación; Horizon 2020; National Centers for Environmental Information; Natural Environment Research Council; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Ocean Acidification Program; European Commission; Sight Research UK; National Oceanic and Atmospheric Administration; Universidade do Estado do Rio de Janeiro; Environmental Restoration and Conservation Agency; HORIZON EUROPE Framework Programme; Svenska Forskningsrådet Formas; Vetenskapsrådet; National Science Foundation","keywords":"Biogeochemical cycle; Seawater; Environmental science; Alkalinity; Oceanography; Salinity; Environmental chemistry; Chemistry; Geology","score_opus":0.02266024414294069,"score_gpt":0.25086237364033154,"score_spread":0.22820212949739085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396497225","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":[0.0012265233,0.000432306,0.0022159293,0.0007867338,0.0011176268,0.00013650442,0.9825026,0.0025615275,0.009020275],"genre_scores_gemma":[0.0034061903,0.0004680009,0.005126212,0.00059108523,0.00015623694,0.0005051824,0.9809806,0.0018893281,0.0068771476],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972584,0.00033141533,0.00041962363,0.0003437974,0.0013747563,0.00027193944],"domain_scores_gemma":[0.9868504,0.0010332903,0.0012369514,0.0018954272,0.008098088,0.00088584056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003978236,0.0017671274,0.0012459826,0.0047745695,0.00065101474,0.0037962531,0.002233802,0.0016534282,0.025422364],"category_scores_gemma":[0.012524824,0.0010528198,0.0013183672,0.010636176,0.00042243436,0.003460548,0.0029520388,0.0023389906,0.049817916],"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":[0.00014487084,0.000018861261,0.0031671596,0.0004995149,0.00005233411,0.000047532387,0.000046165933,0.00051960855,0.00063516526,0.0009085507,0.9716343,0.02232583],"study_design_scores_gemma":[0.000036346755,0.000011713015,0.00661958,0.00013624932,0.00001991862,0.00003728816,0.000031042215,0.00024866255,0.0005579048,0.0005492979,0.9917202,0.000031703712],"about_ca_topic_score_codex":0.06472058,"about_ca_topic_score_gemma":0.02761053,"teacher_disagreement_score":0.06472058,"about_ca_system_score_codex":0.001950874,"about_ca_system_score_gemma":0.008252937,"threshold_uncertainty_score":0.12868774},"labels":[],"label_agreement":null},{"id":"W4396534280","doi":"10.5194/essd-16-2113-2024","title":"Earth Virtualization Engines (EVE)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Scientific Computing and Data Management","field":"Decision 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":"University of Saskatchewan","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Earth (classical element); Astrobiology; Virtualization; Computer science; Geology; Operating system; Cloud computing; Physics; Astronomy","score_opus":0.211356827934238,"score_gpt":0.41383668048283173,"score_spread":0.20247985254859374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396534280","genre_codex":"software","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":[0.061120994,0.008074644,0.2722689,0.0047113155,0.0037916268,0.0010345055,0.020504499,0.34744337,0.28105018],"genre_scores_gemma":[0.5753929,0.005695892,0.165633,0.004460604,0.00061022013,0.00089899683,0.07359523,0.024945954,0.14876719],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99910563,0.0001587888,0.00006265122,0.00012484698,0.00033118515,0.0002168054],"domain_scores_gemma":[0.9989644,0.00022308418,0.00005555324,0.0003943786,0.00014211854,0.00022048937],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001835445,0.00091509346,0.00043083608,0.00061948935,0.0004945521,0.002531115,0.0019026208,0.000744843,0.018667633],"category_scores_gemma":[0.0032811768,0.0005835885,0.0007097766,0.00049773604,0.0005461679,0.0046493383,0.0048107565,0.0024184105,0.007969196],"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":[0.0018324734,0.0004995961,0.006011017,0.0009758095,0.00033139225,0.0006011011,0.00045915545,0.016933657,0.012727423,0.20588715,0.5492074,0.20453392],"study_design_scores_gemma":[0.0003983687,0.00022260315,0.002232086,0.00024262659,0.00010574492,0.00036983367,0.00009874216,0.076285005,0.020684667,0.040064443,0.85917073,0.00012511687],"about_ca_topic_score_codex":0.0014726929,"about_ca_topic_score_gemma":0.0015280603,"teacher_disagreement_score":0.018667633,"about_ca_system_score_codex":0.00043420584,"about_ca_system_score_gemma":0.0009911394,"threshold_uncertainty_score":0.062449455},"labels":[],"label_agreement":null},{"id":"W4396660838","doi":"10.5194/essd-16-2197-2024","title":"The Total Carbon Column Observing Network's GGG2020 data version","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","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 Toronto; Environment and Climate Change Canada","funders":"FP7 Cooperation; Horizon 2020; Belgian Federal Science Policy Office; National Aeronautics and Space Administration","keywords":"Column (typography); Environmental science; Calibration; Greenhouse gas; Remote sensing; Computer science; Statistics; Geology","score_opus":0.02115065618086697,"score_gpt":0.22823037148515649,"score_spread":0.2070797153042895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396660838","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":[0.0023541758,0.00007493115,0.00089320226,0.00014859902,0.00016796567,0.00005265849,0.9867323,0.0025934218,0.006982767],"genre_scores_gemma":[0.005479652,0.00005010976,0.0020765434,0.0001015334,0.000025269275,0.000069127804,0.98899275,0.00076825806,0.0024367562],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995932,0.00004079226,0.000038536935,0.00008136847,0.00017620735,0.0000698812],"domain_scores_gemma":[0.99881774,0.00007678047,0.000092836344,0.00025977023,0.00064490014,0.00010787913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008199348,0.0008149077,0.0004580386,0.0017841911,0.00044965802,0.001259483,0.0010326894,0.00073814014,0.033051245],"category_scores_gemma":[0.0024036132,0.00045313756,0.00042306306,0.0044973805,0.00023035426,0.0015940419,0.00090315205,0.0009779219,0.03301853],"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":[0.00013445981,0.00003201226,0.004953614,0.00022683764,0.000034863166,0.000056481964,0.00004213361,0.0015571103,0.0008066446,0.0010279296,0.97896737,0.012160471],"study_design_scores_gemma":[0.00016713087,0.000019500381,0.02707647,0.00013230664,0.000031233314,0.00005930027,0.0000767311,0.0035767925,0.002262274,0.0020988542,0.9644461,0.000053315885],"about_ca_topic_score_codex":0.06989903,"about_ca_topic_score_gemma":0.06658104,"teacher_disagreement_score":0.06989903,"about_ca_system_score_codex":0.00088853313,"about_ca_system_score_gemma":0.0018716075,"threshold_uncertainty_score":0.13898432},"labels":[],"label_agreement":null},{"id":"W4396720861","doi":"10.5194/essd-18-3889-2026","title":"Indicators of Global Climate Change 2023: annual update of key indicators of the state of the climate system and human influence","year":2024,"lang":"en","type":"preprint","venue":"Earth system science data","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":"Simon Fraser University; Environment and Climate Change Canada","funders":"Department for Science, Innovation and Technology; H2020 European Research Council; European Research Council; Natural Environment Research Council; Science Foundation Ireland; Engineering and Physical Sciences Research Council; Department of Agriculture, Environment and Rural Affairs, UK Government; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; National Research Foundation of Korea; Met Office; European Commission; Research Councils UK; European Centre for Medium-Range Weather Forecasts; HORIZON EUROPE Innovative Europe; Toegepaste en Technische Wetenschappen, NWO","keywords":"Greenhouse gas; Radiative forcing; Climate change; Climate commitment; United Nations Framework Convention on Climate Change; Earth system science; Environmental science; Global warming; Climate model; Climatology; Environmental resource management; Negotiation; Political science; Effects of global warming; Kyoto Protocol; Ecology","score_opus":0.009132914559206642,"score_gpt":0.2395363823314207,"score_spread":0.23040346777221404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396720861","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":[0.0052476996,0.0862014,0.020008426,0.027103275,0.029445274,0.0011043681,0.7849594,0.0045094388,0.04142067],"genre_scores_gemma":[0.06550526,0.117763236,0.060477994,0.010286124,0.008239917,0.0047291247,0.71588355,0.0019163124,0.01519853],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99517787,0.00095404714,0.00085785217,0.00041241493,0.0022520646,0.0003457738],"domain_scores_gemma":[0.96952057,0.002053193,0.0047212588,0.0012479206,0.020685745,0.0017712828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011493203,0.0028132054,0.0018564785,0.011780369,0.00080186,0.0033000468,0.0025237673,0.0013340407,0.012038536],"category_scores_gemma":[0.020068858,0.0006052381,0.001378656,0.029529626,0.0008353852,0.0036885361,0.004262317,0.0035260664,0.009240632],"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":[0.00008115643,0.00003698163,0.012410478,0.0032460208,0.00020061946,0.0000492065,0.00018893566,0.00096154446,0.00035790112,0.003114161,0.8326981,0.146655],"study_design_scores_gemma":[0.000025685515,0.00003101345,0.025562711,0.001730038,0.00011744852,0.00006411426,0.00018499604,0.0005209284,0.00042674944,0.002144313,0.96912664,0.00006539165],"about_ca_topic_score_codex":0.06229845,"about_ca_topic_score_gemma":0.041698143,"teacher_disagreement_score":0.06229845,"about_ca_system_score_codex":0.0037881287,"about_ca_system_score_gemma":0.012614319,"threshold_uncertainty_score":0.123871684},"labels":[],"label_agreement":null},{"id":"W4396857098","doi":"10.5194/essd-16-2165-2024","title":"Predictive mapping of organic carbon stocks in surficial sediments of the Canadian continental margin","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","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":"Fisheries and Oceans Canada; University of Alberta; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Continental margin; Geology; Margin (machine learning); Total organic carbon; Continental shelf; Oceanography; Earth science; Environmental science; Geochemistry; Paleontology; Tectonics","score_opus":0.01805968328459331,"score_gpt":0.22352273264675981,"score_spread":0.2054630493621665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396857098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8922287,0.044739794,0.0044221114,0.0007058294,0.00003481849,0.00009533951,0.050689638,0.00014471695,0.0069390414],"genre_scores_gemma":[0.9756958,0.010215032,0.003342615,0.00011347761,0.000008418833,0.000030123136,0.009767812,0.0000147351275,0.0008120069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995353,0.00003479873,0.00003524669,0.00012264583,0.00021760515,0.00005442101],"domain_scores_gemma":[0.9974366,0.00022987825,0.0003679845,0.00008509082,0.0017937196,0.00008676429],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010035981,0.00046770505,0.00030172008,0.0076967725,0.0007878983,0.0010731606,0.00067218975,0.00022967636,0.00047202126],"category_scores_gemma":[0.0027573325,0.00019725083,0.0006146108,0.010032369,0.00046342716,0.00035354323,0.00075315475,0.00023770644,0.00008858098],"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":[0.0000821501,0.000013454997,0.8796333,0.0023567888,0.0010289864,0.00019350369,0.00089562876,0.004866351,0.0027924667,0.00071815174,0.003230592,0.10418869],"study_design_scores_gemma":[0.0000048195293,0.000014792989,0.9846897,0.0006511135,0.00048119677,0.000052018113,0.0008757071,0.0024625445,0.0008743406,0.00023673387,0.009628048,0.0000289483],"about_ca_topic_score_codex":0.9687316,"about_ca_topic_score_gemma":0.9851539,"teacher_disagreement_score":0.031268418,"about_ca_system_score_codex":0.006309328,"about_ca_system_score_gemma":0.01449323,"threshold_uncertainty_score":0.06290507},"labels":[],"label_agreement":null},{"id":"W4399318659","doi":"10.5194/essd-16-2625-2024","title":"Indicators of Global Climate Change 2023: annual update of key indicators of the state of the climate system and human influence","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":279,"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; Environment and Climate Change Canada","funders":"H2020 European Research Council; Engineering and Physical Sciences Research Council; HORIZON EUROPE Innovative Europe; Research Councils UK","keywords":"Greenhouse gas; Radiative forcing; Climate change; Climate commitment; Environmental science; United Nations Framework Convention on Climate Change; Earth system science; Climate model; Global warming; Climatology; Environmental resource management; Negotiation; Effects of global warming; Political science; Kyoto Protocol; Ecology","score_opus":0.00745316717992758,"score_gpt":0.23205892026373082,"score_spread":0.22460575308380323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399318659","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":[0.0037829801,0.010643475,0.011110165,0.010690304,0.008206372,0.00066658185,0.92964417,0.0020566257,0.02319935],"genre_scores_gemma":[0.04371344,0.017901774,0.045483004,0.0039168056,0.0018321243,0.0037870307,0.872403,0.0011398104,0.009822969],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9929142,0.0013039926,0.0009488051,0.00053584925,0.0038102034,0.00048692062],"domain_scores_gemma":[0.9677259,0.0022726185,0.0048927777,0.0019422178,0.021271402,0.0018952437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.013068368,0.002406753,0.0015538771,0.011997041,0.0008231441,0.0033747754,0.002861614,0.0017436235,0.010920324],"category_scores_gemma":[0.024283767,0.00076850236,0.0014964674,0.023610307,0.00083955674,0.0038736574,0.00518132,0.0039559673,0.008629442],"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":[0.00011972385,0.000059593047,0.011892524,0.0029213005,0.0002023928,0.00006616832,0.0002386481,0.0016820955,0.0006455677,0.005741243,0.8868,0.08963079],"study_design_scores_gemma":[0.00003549766,0.000035361354,0.035315022,0.0011845644,0.00010796238,0.000062747175,0.00021057004,0.0008585295,0.0009972532,0.0033447836,0.9577645,0.00008325352],"about_ca_topic_score_codex":0.07287061,"about_ca_topic_score_gemma":0.0381804,"teacher_disagreement_score":0.07287061,"about_ca_system_score_codex":0.004463794,"about_ca_system_score_gemma":0.014327646,"threshold_uncertainty_score":0.14489293},"labels":[],"label_agreement":null},{"id":"W4399332033","doi":"10.5194/essd-16-2605-2024","title":"The ABoVE L-band and P-band airborne synthetic aperture radar surveys","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"University of Ottawa; Wilfrid Laurier University","funders":"National Aeronautics and Space Administration; Earth Sciences Division; Strategic Environmental Research and Development Program; National Science Foundation","keywords":"Remote sensing; Geology; Synthetic aperture radar; C band; Environmental science","score_opus":0.028381831048243794,"score_gpt":0.23677179484623675,"score_spread":0.20838996379799296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399332033","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":[0.12949745,0.0013508822,0.038264945,0.0012378837,0.0010057187,0.0009163227,0.583695,0.00534338,0.23868841],"genre_scores_gemma":[0.29729056,0.0017366275,0.092804626,0.0016855327,0.00034045122,0.0010521808,0.52053666,0.0013348389,0.08321855],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99974865,0.000035379944,0.000017314933,0.00006080377,0.000112351794,0.000025464024],"domain_scores_gemma":[0.99943286,0.000058255817,0.00004241407,0.00009859443,0.00033076925,0.000037062437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039420754,0.0004076423,0.00012804689,0.0008095098,0.00037268386,0.00047414054,0.00021061179,0.00020955438,0.018405898],"category_scores_gemma":[0.00083907286,0.0001387971,0.00019015188,0.0013681647,0.000103091705,0.0005172505,0.0003835716,0.00035907194,0.0125650605],"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":[0.0001611634,0.000106500265,0.057854183,0.0003434705,0.00004964222,0.00024570338,0.00058151165,0.0026974753,0.03242184,0.0024224627,0.49590898,0.4072071],"study_design_scores_gemma":[0.000031616255,0.00010309418,0.18301594,0.00016030554,0.000025038917,0.0002452898,0.0007340691,0.002567893,0.00583705,0.0010370718,0.80619,0.000052728315],"about_ca_topic_score_codex":0.024560705,"about_ca_topic_score_gemma":0.05955233,"teacher_disagreement_score":0.024560705,"about_ca_system_score_codex":0.00032008367,"about_ca_system_score_gemma":0.00075688603,"threshold_uncertainty_score":0.061573803},"labels":[],"label_agreement":null},{"id":"W4399512636","doi":"10.5194/essd-16-2543-2024","title":"Global nitrous oxide budget (1980–2020)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":205,"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; Dalhousie University","funders":"Natural Environment Research Council; National Institute of Food and Agriculture; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Oceanic and Atmospheric Administration; Deutsche Forschungsgemeinschaft; Sight Research UK; University of Bristol; European Commission; San Diego Supercomputer Center; Agence Nationale de la Recherche; National Aeronautics and Space Administration; National Science Foundation; European Space Agency; Department for Business, Energy and Industrial Strategy, UK Government","keywords":"Greenhouse gas; Environmental science; Nitrous oxide; Radiative forcing; Atmospheric sciences; Biogeochemical cycle; Climatology; Meteorology; Aerosol; Environmental chemistry; Chemistry; Geography","score_opus":0.009809075996381653,"score_gpt":0.23470150586081528,"score_spread":0.22489242986443364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399512636","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":[0.20484741,0.021638222,0.00958638,0.0060094856,0.0015693853,0.00021010019,0.65138984,0.001974136,0.10277508],"genre_scores_gemma":[0.57396895,0.016879402,0.011329236,0.0019045696,0.00030420598,0.0007180241,0.3709026,0.0003360225,0.023657033],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99984634,0.00002090063,0.000008837224,0.000037683432,0.000057323923,0.000028936154],"domain_scores_gemma":[0.9998165,0.000009584721,0.00002859805,0.000007806708,0.00011328765,0.000024246789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040017156,0.0012130205,0.0003265721,0.0011837172,0.00025708487,0.0006541082,0.00055424054,0.00060927705,0.0046019056],"category_scores_gemma":[0.0005069347,0.00026509908,0.00044207348,0.002197387,0.00019934386,0.0010566054,0.0005113971,0.00036079224,0.0025873184],"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":[0.0011875782,0.00017559271,0.14787698,0.0055698077,0.0026362806,0.0011840346,0.00042193846,0.08989875,0.029050892,0.026828155,0.36975127,0.32541868],"study_design_scores_gemma":[0.00015076698,0.00015088751,0.2514476,0.0006663936,0.0004779722,0.00037559503,0.00024385743,0.022245863,0.0067459135,0.0071961414,0.7102101,0.00008898442],"about_ca_topic_score_codex":0.08212816,"about_ca_topic_score_gemma":0.0485156,"teacher_disagreement_score":0.08212816,"about_ca_system_score_codex":0.002309718,"about_ca_system_score_gemma":0.0021786306,"threshold_uncertainty_score":0.16330028},"labels":[],"label_agreement":null},{"id":"W4399682125","doi":"10.5194/essd-16-2773-2024","title":"Underwater light environment in Arctic fjords","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Rimouski","funders":"Horizon 2020; European Commission","keywords":"Fjord; Underwater; Arctic; The arctic; Environmental science; Oceanography; Geology","score_opus":0.02153055076311372,"score_gpt":0.21277758669416036,"score_spread":0.19124703593104664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399682125","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99240375,0.00015624063,0.00033629668,0.00002065066,0.000014803157,0.000008246413,0.0057750028,0.000023921964,0.0012611017],"genre_scores_gemma":[0.99010706,0.00012509787,0.0011392517,0.000023989784,0.000007931727,0.00002350757,0.007878286,0.000009688304,0.00068533793],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997701,0.000025818508,0.000026424097,0.00006652349,0.000059556936,0.000051472678],"domain_scores_gemma":[0.99966013,0.000051484687,0.000106947475,0.000030016552,0.00011416964,0.000037343198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032089397,0.00023629234,0.00031376898,0.00083414785,0.00047691193,0.0009032828,0.00023545796,0.00022743446,0.0008699272],"category_scores_gemma":[0.0006280018,0.00015647947,0.00023935849,0.0012850699,0.0001977693,0.000277295,0.0006022741,0.000170253,0.0002542027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010911933,0.000049723854,0.97142494,0.00008093817,0.00006379623,0.00020343701,0.00059251924,0.0032234811,0.0026812984,0.00006840656,0.0011955254,0.020306803],"study_design_scores_gemma":[0.0000027482063,0.000010577919,0.9970951,0.000018177592,0.0000075538314,0.00002524414,0.00037424773,0.001065915,0.00021985902,0.000015927386,0.0011595126,0.000005126634],"about_ca_topic_score_codex":0.20070791,"about_ca_topic_score_gemma":0.3632084,"teacher_disagreement_score":0.20070791,"about_ca_system_score_codex":0.0009822419,"about_ca_system_score_gemma":0.0006139729,"threshold_uncertainty_score":0.39907932},"labels":[],"label_agreement":null},{"id":"W4400056982","doi":"10.5194/essd-16-2971-2024","title":"First release of the Pelagic Size Structure database: global datasets of marine size spectra obtained from plankton imaging devices","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":"Université Laval","funders":"Horizon 2020; National Oceanic and Atmospheric Administration; Agence Nationale de la Recherche; Deutsche Forschungsgemeinschaft","keywords":"Pelagic zone; Plankton; Environmental science; Biogeochemical cycle; Oceanography; Trophic level; Marine ecosystem; Latitude; Ecosystem; Ecology; Geology; Biology","score_opus":0.009690813196669795,"score_gpt":0.2188213442027197,"score_spread":0.20913053100604992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400056982","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":[0.0026144977,0.00009589564,0.0019264808,0.0000417135,0.00002733273,0.00005934793,0.9913106,0.0028503777,0.0010737457],"genre_scores_gemma":[0.0023373442,0.000048613932,0.0031175173,0.000033869936,0.000007782593,0.00012237485,0.99379784,0.00024144183,0.0002932296],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862516,0.00009891428,0.0002500512,0.00031674554,0.0005598945,0.00014928861],"domain_scores_gemma":[0.99515885,0.00057176786,0.0007011802,0.0013759349,0.0018804917,0.000311759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019496555,0.0018426856,0.0013439052,0.004314051,0.00044754427,0.0015839133,0.0022371367,0.0013810884,0.012312906],"category_scores_gemma":[0.00610388,0.00091881014,0.0008229409,0.0054964563,0.00031145086,0.0021375655,0.0026358764,0.001410951,0.022705348],"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":[0.00060515874,0.00019374971,0.044216596,0.0020018262,0.0004052635,0.00023508687,0.00020940289,0.0022475822,0.013740058,0.0019235581,0.8686553,0.06556644],"study_design_scores_gemma":[0.0002671169,0.00009974446,0.13010266,0.00032276887,0.00013252384,0.00021442027,0.00015834277,0.0031898916,0.010536296,0.0014918449,0.85335505,0.00012928146],"about_ca_topic_score_codex":0.007248551,"about_ca_topic_score_gemma":0.010006402,"teacher_disagreement_score":0.012312906,"about_ca_system_score_codex":0.00071110704,"about_ca_system_score_gemma":0.0013895041,"threshold_uncertainty_score":0.041190803},"labels":[],"label_agreement":null},{"id":"W4400125726","doi":"10.5194/essd-16-3045-2024","title":"Physical, social, and biological attributes for improved understanding and prediction of wildfires: FPA FOD-Attributes dataset","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","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":"United Nations University Institute for Water, Environment, and Health","funders":"Joint Fire Science Program","keywords":"Computer science; Environmental science","score_opus":0.10232469571300422,"score_gpt":0.2976846956463535,"score_spread":0.1953599999333493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400125726","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":[0.013772528,0.00048338095,0.0012430296,0.0005353724,0.00013591608,0.0000762639,0.9807575,0.0015383086,0.0014578032],"genre_scores_gemma":[0.013204114,0.00013043816,0.0042007533,0.00015354269,0.000024756107,0.00014895185,0.98161584,0.000047010028,0.00047468694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99879104,0.00014249419,0.00013043842,0.0004332451,0.00032172742,0.00018100812],"domain_scores_gemma":[0.9977704,0.00065292657,0.0002501552,0.0005026545,0.00053753564,0.0002863288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013565419,0.0019585197,0.0008542268,0.003422909,0.0010155438,0.0012388929,0.0035093396,0.0025174194,0.005290947],"category_scores_gemma":[0.0048537655,0.00039049663,0.002440217,0.0036798425,0.0005358441,0.0015657165,0.0018761515,0.0024312898,0.005125195],"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":[0.00041146518,0.00052428327,0.058858182,0.001144725,0.0003211745,0.0003819491,0.00016078027,0.01296742,0.0009991805,0.0021523552,0.88773197,0.034346614],"study_design_scores_gemma":[0.0006790528,0.00025648595,0.19313265,0.00092155073,0.00026562109,0.0010636132,0.00093605154,0.100366324,0.0039340653,0.007514667,0.690646,0.0002840763],"about_ca_topic_score_codex":0.06275283,"about_ca_topic_score_gemma":0.10268304,"teacher_disagreement_score":0.06275283,"about_ca_system_score_codex":0.0017373941,"about_ca_system_score_gemma":0.0016748314,"threshold_uncertainty_score":0.12477517},"labels":[],"label_agreement":null},{"id":"W4400215114","doi":"10.5194/essd-16-3061-2024","title":"A global forest burn severity dataset from Landsat imagery (2003–2016)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","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":"","keywords":"Environmental science; Physical geography; Remote sensing; Scale (ratio); Biomass (ecology); Ground truth; Geography; Cartography; Geology; Computer science","score_opus":0.014055006423243355,"score_gpt":0.2507345669905357,"score_spread":0.23667956056729234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400215114","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":[0.027706398,0.00025807007,0.00085241994,0.000055815508,0.000033128337,0.0000981402,0.9681138,0.00075765705,0.002124616],"genre_scores_gemma":[0.0149183795,0.00006374688,0.002206051,0.000023310467,0.000006487148,0.000073925316,0.9821509,0.000053052274,0.0005041002],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99950933,0.000040769235,0.000052790114,0.00014125374,0.00017725484,0.00007850431],"domain_scores_gemma":[0.99912256,0.0000426854,0.00011505959,0.00015265978,0.0004910565,0.000075944874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006217826,0.0009851195,0.00046489324,0.0021523896,0.00040494368,0.0004614145,0.0007544553,0.00040352272,0.0032442084],"category_scores_gemma":[0.0010242454,0.00025462377,0.0006021136,0.0028445704,0.00019601699,0.00050486333,0.00053936266,0.00056517625,0.0033242726],"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":[0.0006715143,0.00036024558,0.16427763,0.0015603633,0.00079546054,0.00035820584,0.000387634,0.013144992,0.010022223,0.0011205458,0.74586034,0.061440803],"study_design_scores_gemma":[0.00019896677,0.000064568936,0.7170672,0.00024669606,0.00015322206,0.00024177575,0.000402668,0.01766505,0.004174645,0.0005364321,0.25915486,0.00009396732],"about_ca_topic_score_codex":0.26115504,"about_ca_topic_score_gemma":0.4294578,"teacher_disagreement_score":0.26115504,"about_ca_system_score_codex":0.001415012,"about_ca_system_score_gemma":0.0016634316,"threshold_uncertainty_score":0.5192699},"labels":[],"label_agreement":null},{"id":"W4400249356","doi":"10.5194/essd-16-3083-2024","title":"Special Observing Period (SOP) data for the Year of Polar Prediction site Model Intercomparison Project (YOPPsiteMIP)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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":true,"ca_institutions":"University of Toronto; Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; European Commission","keywords":"NetCDF; Meteorology; Arctic; Environmental science; Computer science; Observatory; Interoperability; Numerical weather prediction; Data archive; Satellite; Resource (disambiguation); Database; Remote sensing; Geography; Geology; Oceanography","score_opus":0.07824307702951705,"score_gpt":0.28742904239367495,"score_spread":0.2091859653641579,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400249356","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":[0.19435975,0.00022907044,0.012893357,0.0005258753,0.00045629055,0.0003447617,0.76598424,0.0024029422,0.022803783],"genre_scores_gemma":[0.21501267,0.00022672823,0.025720727,0.00019276321,0.000104283296,0.00047867518,0.7522558,0.00048455579,0.0055237697],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99967015,0.000029319608,0.000027892303,0.00007526514,0.00014955676,0.000047876394],"domain_scores_gemma":[0.99864095,0.00008498016,0.00020442938,0.0002511174,0.0007248058,0.00009380127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007175923,0.00032683997,0.00024200707,0.0009992917,0.000609519,0.0005911264,0.0004965497,0.00030169447,0.003445585],"category_scores_gemma":[0.001321096,0.00015934191,0.00028712768,0.0019260058,0.00014713305,0.00037603822,0.00053880335,0.00053348433,0.0011627349],"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":[0.00097192626,0.00022690227,0.4418884,0.0004834137,0.0003640857,0.0003683005,0.00084914756,0.014715465,0.012950301,0.0033626615,0.37790182,0.14591756],"study_design_scores_gemma":[0.00013961186,0.00006102798,0.62082875,0.000085288586,0.00008595514,0.000082323015,0.00048745575,0.011097727,0.007421848,0.0007727947,0.35888696,0.000050397928],"about_ca_topic_score_codex":0.18035051,"about_ca_topic_score_gemma":0.23487662,"teacher_disagreement_score":0.18035051,"about_ca_system_score_codex":0.00090561993,"about_ca_system_score_gemma":0.0030763522,"threshold_uncertainty_score":0.3586015},"labels":[],"label_agreement":null},{"id":"W4401529444","doi":"10.5194/essd-16-3601-2024","title":"State of Wildfires 2023–2024","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":218,"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":"HORIZON EUROPE Marie Sklodowska-Curie Actions; H2020 European Research Council; Horizon 2020; Joint Research Centre; Conselho Nacional de Desenvolvimento Científico e Tecnológico; National Aeronautics and Space Administration; Fonds Wetenschappelijk Onderzoek; China Scholarship Council; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Sight Research UK; Westpac Scholars Trust; European Space Agency; National Institute of Food and Agriculture; Natural Environment Research Council; UK Research and Innovation; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"Environmental science; Boreal; Climate change; Fire regime; Greenhouse gas; Climatology; Geography; Physical geography; Ecosystem; Ecology","score_opus":0.01530823332842921,"score_gpt":0.24915473374482283,"score_spread":0.23384650041639363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401529444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90751827,0.004618919,0.003004124,0.0009062463,0.00024439205,0.000059478814,0.059991267,0.00033218024,0.023325188],"genre_scores_gemma":[0.9758312,0.0009111464,0.0007161273,0.00016431611,0.00005661498,0.000034800596,0.02007502,0.000030319916,0.0021804706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954826,0.00006660343,0.00005929925,0.000076413155,0.00013318521,0.00011610961],"domain_scores_gemma":[0.9981541,0.00018343492,0.00070354255,0.00007700068,0.0006534464,0.0002283612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096300914,0.0002845307,0.0001717878,0.0010892795,0.0003995866,0.00087705575,0.0003930048,0.00029956864,0.0037588456],"category_scores_gemma":[0.0014802424,0.00010264059,0.00061815407,0.001128439,0.00019504379,0.0004699879,0.00057684834,0.0006123716,0.001083884],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031870048,0.000057890968,0.9230102,0.00035742152,0.00026864544,0.0002675442,0.00025874903,0.0045610396,0.0012310097,0.001216225,0.013080632,0.05537194],"study_design_scores_gemma":[0.00001341301,0.00011458087,0.9623536,0.00022748044,0.00006379782,0.0003406991,0.0008294676,0.008441275,0.0010602463,0.000808613,0.025709974,0.000036843816],"about_ca_topic_score_codex":0.034400914,"about_ca_topic_score_gemma":0.046482425,"teacher_disagreement_score":0.034400914,"about_ca_system_score_codex":0.000650935,"about_ca_system_score_gemma":0.000719748,"threshold_uncertainty_score":0.06840134},"labels":[],"label_agreement":null},{"id":"W4401643668","doi":"10.5194/essd-16-3687-2024","title":"A synthesized field survey database of vegetation and active-layer properties for the Alaskan tundra (1972–2020)","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Aeronautics and Space Administration","keywords":"Tundra; Vegetation (pathology); Field (mathematics); Layer (electronics); Field survey; Environmental science; Database; Physical geography; Geology; Computer science; Geography; Oceanography; Chemistry; Arctic","score_opus":0.1464207756896613,"score_gpt":0.3000117803966544,"score_spread":0.15359100470699308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401643668","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":[0.006292575,0.00024071257,0.00035079746,0.000026537347,0.000012390188,0.000017472066,0.99192023,0.00019113012,0.0009481903],"genre_scores_gemma":[0.0117966095,0.00017163917,0.0013767243,0.00002240648,0.000005360116,0.00010260925,0.9859014,0.000020983784,0.0006021913],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9994149,0.000069696835,0.0001498889,0.00016727377,0.00014646114,0.000051839263],"domain_scores_gemma":[0.9958477,0.0004892952,0.00093388406,0.0006240922,0.0018147046,0.00029025416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010352258,0.0006820269,0.00056279765,0.0050426526,0.00032828335,0.00075136684,0.0010069655,0.0005719711,0.008800604],"category_scores_gemma":[0.003372209,0.0003591568,0.00044459538,0.008032838,0.00014010261,0.00080432,0.000615503,0.0004393753,0.0068324236],"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":[0.00034891858,0.00020737546,0.28130677,0.0026597362,0.00065908406,0.0003274809,0.00052370736,0.0076556867,0.002255719,0.0019168389,0.6085014,0.09363727],"study_design_scores_gemma":[0.00007768616,0.000061078186,0.5355633,0.0007380263,0.00014634537,0.00015594423,0.00079011737,0.0027750623,0.0011709378,0.0008318517,0.4576085,0.000081183054],"about_ca_topic_score_codex":0.1399309,"about_ca_topic_score_gemma":0.13358842,"teacher_disagreement_score":0.1399309,"about_ca_system_score_codex":0.000995119,"about_ca_system_score_gemma":0.0019190265,"threshold_uncertainty_score":0.2782328},"labels":[],"label_agreement":null},{"id":"W4402489862","doi":"10.5194/essd-16-4051-2024","title":"PM <sub>2.5</sub> concentrations based on near-surface visibility in the Northern Hemisphere from 1959 to 2022","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric chemistry and aerosols","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":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Visibility; Northern Hemisphere; Environmental science; Atmospheric sciences; Climatology; Meteorology; Geology; Physics","score_opus":0.020154737790726452,"score_gpt":0.23838765996848232,"score_spread":0.21823292217775586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402489862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9853645,0.00071353826,0.00093825755,0.0000951908,0.000034166842,0.000008818755,0.011030802,0.000058338548,0.0017563137],"genre_scores_gemma":[0.9893407,0.00017482851,0.0004688543,0.000019261763,0.000018542838,0.000007778048,0.009538322,0.000004074114,0.0004276438],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985445,0.000014459168,0.0000114222385,0.00006182759,0.000034407643,0.00002330341],"domain_scores_gemma":[0.9997937,0.000030190184,0.00007188836,0.000015032278,0.00006309986,0.000026121148],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028232005,0.0003211425,0.00018227882,0.0004573288,0.00017387458,0.00042505682,0.00019063568,0.00021815406,0.0007624686],"category_scores_gemma":[0.0004861553,0.00009411349,0.00037784406,0.000649823,0.0001345671,0.00026396415,0.00018747646,0.00018727474,0.00021021695],"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":[0.00015025197,0.00003676227,0.9757496,0.000070108545,0.0001565852,0.00019638555,0.0000705102,0.006848645,0.0014345823,0.00012046692,0.0026276608,0.012538505],"study_design_scores_gemma":[0.0000031134757,0.000013071895,0.99318236,0.0000073035867,0.000033043034,0.00003268125,0.00006461909,0.005121365,0.0003791061,0.00003289968,0.0011247711,0.00000563063],"about_ca_topic_score_codex":0.09304138,"about_ca_topic_score_gemma":0.09762381,"teacher_disagreement_score":0.09304138,"about_ca_system_score_codex":0.0006100528,"about_ca_system_score_gemma":0.00036728778,"threshold_uncertainty_score":0.18499964},"labels":[],"label_agreement":null},{"id":"W4402490360","doi":"10.5194/essd-16-3993-2024","title":"Satellite-based near-real-time global daily terrestrial evapotranspiration estimates","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Plant Water Relations and Carbon 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":"University of Toronto","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Evapotranspiration; Satellite; Environmental science; Remote sensing; Climatology; Geology","score_opus":0.018116808134223176,"score_gpt":0.2535486420269492,"score_spread":0.23543183389272604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402490360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9211459,0.00061686797,0.059298642,0.00009249141,0.00006982557,0.000039363393,0.0094821155,0.0017178834,0.0075368523],"genre_scores_gemma":[0.97100824,0.0001167423,0.022526132,0.000020594198,0.000011600908,0.00001332707,0.0053661354,0.0000463912,0.00089093536],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985373,0.000025979169,0.000011610715,0.00005034186,0.000048622853,0.000009691295],"domain_scores_gemma":[0.9997975,0.00003073403,0.000029509596,0.00003953696,0.00009502686,0.0000076289293],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030076256,0.00033308085,0.0001774344,0.0006215655,0.00009214815,0.0003838483,0.00021867012,0.00022627942,0.0011831789],"category_scores_gemma":[0.00073285424,0.000092147624,0.00022055695,0.0006164849,0.00008144147,0.0006592802,0.00019090816,0.00014997434,0.000514593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039489486,0.00021607315,0.21042651,0.00033999074,0.00048542934,0.00012412747,0.00018661287,0.38218704,0.056169506,0.0019167581,0.009557942,0.33799514],"study_design_scores_gemma":[0.00006554948,0.00009576101,0.29785937,0.00005854423,0.0000947026,0.000101907906,0.0001413528,0.6644189,0.023900243,0.0013149303,0.011889765,0.000059006717],"about_ca_topic_score_codex":0.0063352855,"about_ca_topic_score_gemma":0.012283771,"teacher_disagreement_score":0.0063352855,"about_ca_system_score_codex":0.00022931422,"about_ca_system_score_gemma":0.0002340836,"threshold_uncertainty_score":0.012596846},"labels":[],"label_agreement":null},{"id":"W4402651111","doi":"10.5194/essd-16-4291-2024","title":"Version 1 NOAA-20/OMPS Nadir Mapper total column SO <sub>2</sub> product: continuation of NASA long-term global data record","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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":"Environment and Climate Change Canada","funders":"National Aeronautics and Space Administration","keywords":"Nadir; Term (time); Continuation; Column (typography); Environmental science; Product (mathematics); Remote sensing; Meteorology; Geology; Satellite; Computer science; Mathematics; Physics; Astronomy; Telecommunications","score_opus":0.024640237452648855,"score_gpt":0.25025300404523837,"score_spread":0.22561276659258953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402651111","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":[0.017640429,0.00026778155,0.018661648,0.00036211824,0.00032689722,0.0003298305,0.9271387,0.020543786,0.0147287315],"genre_scores_gemma":[0.020822765,0.00018361135,0.04341261,0.00016665505,0.00007251122,0.00038582948,0.9262104,0.0026971896,0.0060484656],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99952996,0.000037252514,0.000043467742,0.00009439679,0.00024117503,0.000053696185],"domain_scores_gemma":[0.99882334,0.00008038316,0.0001314023,0.00022157155,0.00068187166,0.000061291415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083685707,0.0009942618,0.00045729193,0.0014961625,0.00038310201,0.0010146531,0.00095149205,0.0007566646,0.018770983],"category_scores_gemma":[0.0018607094,0.0005615124,0.0006715651,0.0026559138,0.00021822874,0.0014950766,0.0007783355,0.00083465636,0.022192866],"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":[0.00046352562,0.00022033199,0.018899743,0.00067137607,0.00022806288,0.00026189612,0.00018240557,0.0066671004,0.01870761,0.0020641023,0.8096856,0.14194816],"study_design_scores_gemma":[0.00022892728,0.000052950527,0.06649625,0.00009504979,0.00007314542,0.00011131221,0.00015545552,0.01867767,0.012739592,0.0015930147,0.8996802,0.00009656337],"about_ca_topic_score_codex":0.029976813,"about_ca_topic_score_gemma":0.040312048,"teacher_disagreement_score":0.029976813,"about_ca_system_score_codex":0.00053058966,"about_ca_system_score_gemma":0.0012811469,"threshold_uncertainty_score":0.06279522},"labels":[],"label_agreement":null},{"id":"W4403200793","doi":"10.5194/essd-16-4417-2024","title":"GHOST: a globally harmonised dataset of surface atmospheric composition measurements","year":2024,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020; Agencia Estatal de Investigación; AXA Research Fund","keywords":"Environmental science; Composition (language); Atmospheric composition; Surface (topology); Atmospheric sciences; Meteorology; Geology; Atmosphere (unit); Physics; Mathematics","score_opus":0.03194403598214088,"score_gpt":0.25918505601371244,"score_spread":0.22724102003157157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403200793","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":[0.012133372,0.00028073537,0.00276562,0.00027808506,0.00014948068,0.00012012943,0.97807914,0.0034634979,0.0027299868],"genre_scores_gemma":[0.018648602,0.00012392779,0.005702465,0.00012260179,0.00003891288,0.0001796779,0.97423947,0.0003511279,0.00059320236],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983975,0.00027448116,0.00023168072,0.0004483575,0.00049560587,0.00015233326],"domain_scores_gemma":[0.99720615,0.0004781196,0.00035674998,0.0009568449,0.0007722286,0.0002299214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002142496,0.000843356,0.0008960522,0.0023149455,0.0005992956,0.0016833768,0.002231613,0.0015599375,0.0065490613],"category_scores_gemma":[0.00483865,0.0005580181,0.0012193652,0.0040020985,0.000517199,0.001964566,0.0026041921,0.0015111637,0.0071850447],"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":[0.0007210389,0.00024614076,0.057271224,0.0021671257,0.0005197563,0.00027139336,0.00049625064,0.016753426,0.006624122,0.0057289484,0.87030494,0.03889564],"study_design_scores_gemma":[0.0007789968,0.00013508703,0.15310147,0.0006129923,0.00019030497,0.0001955808,0.0006774266,0.020316754,0.006824748,0.006330403,0.81052357,0.00031267613],"about_ca_topic_score_codex":0.029456202,"about_ca_topic_score_gemma":0.02819293,"teacher_disagreement_score":0.029456202,"about_ca_system_score_codex":0.0011522487,"about_ca_system_score_gemma":0.0025890023,"threshold_uncertainty_score":0.05856949},"labels":[],"label_agreement":null},{"id":"W4404287261","doi":"10.5194/essd-16-5227-2024","title":"CREST: a Climate Data Record of Stratospheric Aerosols","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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":"University of Saskatchewan","funders":"European Space Agency","keywords":"Crest; Environmental science; Atmospheric sciences; Climatology; Geology; Meteorology; Physics","score_opus":0.05510842466998417,"score_gpt":0.2806625559228584,"score_spread":0.2255541312528742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404287261","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":[0.4334738,0.00092452345,0.0033157433,0.00024094945,0.00013225422,0.00022466392,0.54920083,0.0019868826,0.010500515],"genre_scores_gemma":[0.5028253,0.00044167967,0.010252148,0.00010353477,0.00013169303,0.00022159511,0.48364788,0.00019608025,0.002180033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996588,0.000024308807,0.00003737607,0.000082674575,0.0001649001,0.00003189493],"domain_scores_gemma":[0.99896634,0.00004212546,0.00019482667,0.00019505383,0.00047081173,0.00013085234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032724405,0.000351206,0.0003160986,0.0014407013,0.00025589028,0.00056813494,0.00032191066,0.00030675007,0.0011022798],"category_scores_gemma":[0.00075994135,0.00013737023,0.000245479,0.0026534987,0.000100316036,0.00034658585,0.00056291826,0.00040806085,0.0007025071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009866946,0.000293729,0.6865639,0.0008867611,0.00088747515,0.0005863775,0.0006048169,0.014148298,0.07991624,0.0024280092,0.11141324,0.10128443],"study_design_scores_gemma":[0.00007674051,0.00006358663,0.8995471,0.000033456778,0.000096943426,0.00009166016,0.000079716796,0.006040834,0.006668451,0.00012369701,0.0871475,0.00003043521],"about_ca_topic_score_codex":0.027367769,"about_ca_topic_score_gemma":0.030429762,"teacher_disagreement_score":0.027367769,"about_ca_system_score_codex":0.0003624674,"about_ca_system_score_gemma":0.00091582665,"threshold_uncertainty_score":0.054416955},"labels":[],"label_agreement":null},{"id":"W4405375396","doi":"10.5194/essd-16-5681-2024","title":"Microbial plankton occurrence database in the North American Arctic region: synthesis of recent diversity of potentially toxic and/or harmful algae","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Microbial Community Ecology and Physiology","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":"Canadian Museum of Nature; Université du Québec à Rimouski","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Fonds de recherche du Québec – Nature et technologies; ArcticNet","keywords":"Plankton; Algae; Environmental science; The arctic; Arctic; Diversity (politics); Oceanography; Ecology; Geology; Biology","score_opus":0.04796313165841524,"score_gpt":0.26171547756662955,"score_spread":0.21375234590821432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405375396","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":[0.10233943,0.0047231326,0.000853797,0.00023148028,0.00007879732,0.00006330443,0.8891248,0.00022554044,0.0023597742],"genre_scores_gemma":[0.078734286,0.0023533925,0.0034344958,0.00011539936,0.000046646634,0.00029481133,0.91415966,0.000036241785,0.0008250894],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99914646,0.000088962915,0.00016332523,0.00027394903,0.0002250048,0.000102267644],"domain_scores_gemma":[0.99802494,0.0002808463,0.00046097918,0.00014784817,0.0008847108,0.00020070739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000829543,0.0006514833,0.0007440662,0.006514387,0.0006563175,0.0008815448,0.0007432282,0.0004892558,0.002264166],"category_scores_gemma":[0.0019576252,0.0002820927,0.0006712711,0.0071250875,0.00022760125,0.000506319,0.0013290163,0.00051824324,0.0015597118],"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":[0.00029701254,0.00016581637,0.7932911,0.0051081832,0.0005711749,0.00054311287,0.000864858,0.0015125863,0.0028839253,0.0007153457,0.1308665,0.06318051],"study_design_scores_gemma":[0.000029920044,0.000032880867,0.87102675,0.00088376174,0.0002086151,0.00019014721,0.0013741588,0.0017661132,0.0007847325,0.00026649065,0.12338883,0.000047643865],"about_ca_topic_score_codex":0.10964284,"about_ca_topic_score_gemma":0.19784732,"teacher_disagreement_score":0.89035714,"about_ca_system_score_codex":0.0010046996,"about_ca_system_score_gemma":0.002602106,"threshold_uncertainty_score":0.2180093},"labels":[],"label_agreement":null},{"id":"W4405579901","doi":"10.5194/essd-16-5767-2024","title":"Very high resolution aerial image orthomosaics, point clouds, and elevation datasets of select permafrost landscapes in Alaska and northwestern Canada","year":2024,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary 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":"","keywords":"Permafrost; Remote sensing; Point cloud; Digital elevation model; Arctic; Aerial photos; Elevation (ballistics); Range (aeronautics); Image resolution; Environmental science; Geology; Physical geography; Computer science; Geography; Artificial intelligence","score_opus":0.01866935204455105,"score_gpt":0.23051139151820263,"score_spread":0.21184203947365157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405579901","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":[0.46632764,0.0024585216,0.0016661381,0.00019682481,0.000062949286,0.00013680107,0.5182272,0.0008277957,0.01009613],"genre_scores_gemma":[0.3140993,0.0013032702,0.0048859282,0.0000512656,0.000019690655,0.00009053668,0.6759579,0.00009181013,0.0035002558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99958485,0.000020420823,0.000021907592,0.00009041301,0.00020154496,0.00008086095],"domain_scores_gemma":[0.99903107,0.000050089286,0.0000643596,0.000104119325,0.0006283355,0.0001221319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029907067,0.0005451732,0.00030619142,0.003727245,0.00085514743,0.000802644,0.0005468255,0.0002624039,0.0016891395],"category_scores_gemma":[0.00058251346,0.00014785765,0.0003830507,0.0066012098,0.00045368558,0.00033146472,0.00056884583,0.00028955564,0.0005374144],"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":[0.0010131904,0.000593753,0.47903642,0.0018467756,0.0009967501,0.0020923598,0.0017145538,0.04834958,0.020644609,0.002548769,0.19705409,0.24410912],"study_design_scores_gemma":[0.00007841544,0.00003859502,0.8605619,0.00033707955,0.00018125531,0.00029525373,0.002149452,0.016187683,0.004872983,0.0003899948,0.11480489,0.00010252369],"about_ca_topic_score_codex":0.9193698,"about_ca_topic_score_gemma":0.9536008,"teacher_disagreement_score":0.08063018,"about_ca_system_score_codex":0.004043399,"about_ca_system_score_gemma":0.0070270645,"threshold_uncertainty_score":0.16220999},"labels":[],"label_agreement":null},{"id":"W4406881213","doi":"10.5194/essd-17-259-2025","title":"BCUB – a large-sample ungauged basin attribute dataset for British Columbia, Canada","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrocarbon exploration and reservoir analysis","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sample (material); Structural basin; Geology; Environmental science; Paleontology","score_opus":0.017771640945689393,"score_gpt":0.2415731403703857,"score_spread":0.22380149942469632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406881213","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":[0.0030534498,0.00017164947,0.00018571099,0.000110218534,0.000020257787,0.000026350099,0.9947925,0.00061214424,0.0010277274],"genre_scores_gemma":[0.004268742,0.000092889415,0.00051437016,0.00003472414,0.0000030096312,0.000057005593,0.9943566,0.000054163775,0.00061855564],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992423,0.000057164965,0.000065508466,0.00019546773,0.00024671433,0.00019287052],"domain_scores_gemma":[0.99738556,0.0002542205,0.00010238166,0.00038178635,0.0015006687,0.00037532247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005280836,0.0014681212,0.00089314266,0.00415247,0.0022341497,0.0018860212,0.0028543305,0.0012581653,0.011756816],"category_scores_gemma":[0.0042912797,0.00050793134,0.0008483968,0.010431738,0.00071313925,0.0008172713,0.001577371,0.0014931201,0.010479489],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011628288,0.00004943757,0.008695981,0.00039738812,0.000098292745,0.000117894844,0.00012034205,0.0019524922,0.000385437,0.0008472658,0.9773651,0.009854076],"study_design_scores_gemma":[0.00024127775,0.000023873676,0.085568175,0.0006814966,0.00011586695,0.00019634831,0.0008709045,0.011791763,0.0013485926,0.0016460298,0.89736027,0.00015547873],"about_ca_topic_score_codex":0.9429365,"about_ca_topic_score_gemma":0.96813554,"teacher_disagreement_score":0.05706352,"about_ca_system_score_codex":0.010144786,"about_ca_system_score_gemma":0.018656267,"threshold_uncertainty_score":0.11479908},"labels":[],"label_agreement":null},{"id":"W4407181381","doi":"10.5194/essd-17-423-2025","title":"A sea ice deformation and rotation rate dataset (2017–2023) from the Environment and Climate Change Canada automated sea ice tracking system (ECCC-ASITS)","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","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":"McGill University; Environment and Climate Change Canada","funders":"Canadian Space Agency","keywords":"Sea ice; Climate change; Climatology; Tracking (education); Environmental science; Rotation (mathematics); Oceanography; Geology; Computer science","score_opus":0.023095305208065513,"score_gpt":0.22468018554336294,"score_spread":0.20158488033529742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407181381","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":[0.025685098,0.0004413656,0.0006121756,0.00015519299,0.00012810294,0.000058456473,0.97055095,0.0006437351,0.0017249678],"genre_scores_gemma":[0.021689564,0.000111429275,0.001241461,0.000037497277,0.000020712228,0.00003479745,0.97636753,0.000039162456,0.0004578226],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995504,0.00003401239,0.000030361018,0.000108438806,0.0001960179,0.00008071178],"domain_scores_gemma":[0.9989208,0.00005173473,0.0000905637,0.00013112744,0.00067938125,0.00012641492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055270334,0.0011351969,0.000671194,0.0018372419,0.0006371093,0.00061818794,0.0010953168,0.0006467726,0.0028572893],"category_scores_gemma":[0.0010256534,0.00024253535,0.00069725624,0.0026768795,0.00043062732,0.00040312458,0.00080426293,0.00078804133,0.0027408141],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006566078,0.0003676284,0.099364616,0.00085532916,0.0007437766,0.00042676358,0.00019330799,0.015590189,0.005325185,0.0009665164,0.839882,0.035628013],"study_design_scores_gemma":[0.0005626718,0.000115162286,0.5308838,0.0004983523,0.00022793634,0.0003212441,0.0006596833,0.047000207,0.005332058,0.001128449,0.4130649,0.00020551053],"about_ca_topic_score_codex":0.5193813,"about_ca_topic_score_gemma":0.73192316,"teacher_disagreement_score":0.48061872,"about_ca_system_score_codex":0.0019660138,"about_ca_system_score_gemma":0.004091772,"threshold_uncertainty_score":0.9668983},"labels":[],"label_agreement":null},{"id":"W4408208359","doi":"10.5194/essd-17-855-2025","title":"GMIE: a global maximum irrigation extent and central pivot irrigation system dataset derived via irrigation performance during drought stress and deep learning methods","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Remote Sensing in Agriculture","field":"Environmental Science","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":"National Key Research and Development Program of China; Chinese Academy of Sciences; Alliance of International Science Organizations; National Natural Science Foundation of China","keywords":"Irrigation; Environmental science; Normalized Difference Vegetation Index; Food security; Water security; Vegetation (pathology); Hydrology (agriculture); Spatial distribution; Irrigation management; Crop; Water resource management; Irrigation statistics; Water resources; Deficit irrigation; Agronomy; Agriculture; Leaf area index; Remote sensing; Geography; Geology; Forestry","score_opus":0.010845579095752789,"score_gpt":0.2619744827369164,"score_spread":0.25112890364116364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408208359","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":[0.4046723,0.0011917145,0.017786877,0.0012431573,0.00047860108,0.00024155098,0.5585927,0.008958939,0.006834187],"genre_scores_gemma":[0.31004864,0.00028229965,0.017183557,0.00028724884,0.000068968584,0.00022307262,0.6693099,0.00020874433,0.0023875788],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999772,0.00003624174,0.000019204132,0.00007782682,0.00004695879,0.000047766523],"domain_scores_gemma":[0.99977475,0.00003366199,0.000033207118,0.000049513343,0.000081258775,0.000027599908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035805447,0.0008704363,0.0004233937,0.0009733921,0.0002615978,0.00047050792,0.0010188994,0.0009434902,0.0018154918],"category_scores_gemma":[0.0009810994,0.00020660776,0.0006469924,0.0011057615,0.0002620706,0.00052694423,0.0007858396,0.00080500473,0.0013805954],"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":[0.00076176785,0.00092002045,0.16040686,0.0011180553,0.00086485886,0.0013027732,0.00028558177,0.16798499,0.01573621,0.0021776303,0.5129442,0.13549714],"study_design_scores_gemma":[0.00037692604,0.0003139526,0.28755125,0.00033089396,0.00018722721,0.00049676816,0.0005424956,0.54377276,0.011534814,0.0031696027,0.15147135,0.00025195736],"about_ca_topic_score_codex":0.019436711,"about_ca_topic_score_gemma":0.044924553,"teacher_disagreement_score":0.019436711,"about_ca_system_score_codex":0.00046000062,"about_ca_system_score_gemma":0.0007954335,"threshold_uncertainty_score":0.038647175},"labels":[],"label_agreement":null},{"id":"W4408460092","doi":"10.5194/essd-17-965-2025","title":"Global Carbon Budget 2024","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":517,"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; Environment and Climate Change Canada","funders":"National Centre for Earth Observation; Core Research for Evolutional Science and Technology; Global Ocean Monitoring and Observing Program; Ocean Acidification Program; Natural Science Foundation of Jiangsu Province for Distinguished Young Scholars; National Key Research and Development Program of China; Institut national des sciences de l'Univers; European Research Council; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Integrated Carbon Observation System; National Oceanic and Atmospheric Administration; European Centre for Medium-Range Weather Forecasts; Helmholtz Association; Natural Environment Research Council; Norges Forskningsråd; Sorbonne Université; Institut de Recherche pour le Développement; Institut Polaire Français Paul Emile Victor; Chinese Academy of Sciences; Bundesministerium für Bildung und Forschung; U.S. Department of Education; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Flotte Océanographique Française; Ministry of Education, Culture, Sports, Science and Technology; Deutsche Forschungsgemeinschaft; Ministry of the Environment, Government of Japan; National Centre for Atmospheric Science; Japan Science and Technology Agency; U.S. Department of Energy; National Natural Science Foundation of China; Meteorological Research Institute, Japan Meteorological Agency; Agence Nationale de la Recherche; Institut Français de Recherche pour l'Exploitation de la Mer; Tula Foundation; Royal Society; National Science Foundation; European Space Agency; Fonds Wetenschappelijk Onderzoek; National Aeronautics and Space Administration; European Commission; National Center for Atmospheric Research","keywords":"Carbon fibers; Environmental science; Geology; Computer science; Algorithm","score_opus":0.008104454337872923,"score_gpt":0.23480985113253544,"score_spread":0.2267053967946625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408460092","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":[0.0033263068,0.022056874,0.006685734,0.03217199,0.0154399425,0.0005157304,0.26477695,0.0029561147,0.65207034],"genre_scores_gemma":[0.065595016,0.035092127,0.023624368,0.018046677,0.0029148657,0.0032303988,0.27386433,0.0019111537,0.57572114],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995018,0.00007581115,0.000023577903,0.00008907003,0.00020697419,0.00010277859],"domain_scores_gemma":[0.99944276,0.000031988973,0.000036342895,0.00005009234,0.00037061056,0.00006812513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012841044,0.0019063769,0.0008458017,0.0016369519,0.0006635076,0.0027252315,0.0010725755,0.0022632785,0.14519162],"category_scores_gemma":[0.0014923562,0.00040627125,0.0007099295,0.0034898177,0.0004986763,0.0025026216,0.0016278614,0.0020483015,0.09266378],"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":[0.00020714749,0.000039611816,0.0008803219,0.0009454531,0.000072830466,0.000089790505,0.000038432107,0.0012028666,0.0012628845,0.029294146,0.75058573,0.21538068],"study_design_scores_gemma":[0.000017266333,0.000011971645,0.00056430127,0.00011347239,0.000008059587,0.00002044714,0.000017167325,0.00014165313,0.00015790737,0.0028352926,0.9961062,0.000006193926],"about_ca_topic_score_codex":0.032035332,"about_ca_topic_score_gemma":0.014809744,"teacher_disagreement_score":0.14519162,"about_ca_system_score_codex":0.0035535928,"about_ca_system_score_gemma":0.007132465,"threshold_uncertainty_score":0.48571438},"labels":[],"label_agreement":null},{"id":"W4408573951","doi":"10.5194/essd-17-1121-2025","title":"Global greenhouse gas reconciliation 2022","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":16,"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":"Greenhouse gas; Environmental science; Earth science; Geology; Oceanography","score_opus":0.012141326581964316,"score_gpt":0.23690469150920307,"score_spread":0.22476336492723875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408573951","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":[0.037794735,0.011737662,0.28048563,0.017739305,0.023778992,0.0014397827,0.30616418,0.024198003,0.29666173],"genre_scores_gemma":[0.32854033,0.006114908,0.18769665,0.0064624473,0.001980908,0.002878721,0.41280517,0.005818371,0.047702476],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9983045,0.0005788897,0.00009584717,0.00034237982,0.0005137485,0.00016469335],"domain_scores_gemma":[0.99810225,0.00014627994,0.00014219496,0.00064313045,0.0009016718,0.00006454133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039946544,0.0015599924,0.00068528694,0.00300909,0.0006842095,0.0016070816,0.0014280288,0.0010653599,0.012397853],"category_scores_gemma":[0.0042446856,0.00028921408,0.0010140733,0.0040865364,0.00036709313,0.00231327,0.003241445,0.0015984465,0.008120555],"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":[0.0002333047,0.000120115685,0.010926907,0.0006662744,0.00047913214,0.00020714443,0.00020094386,0.02855112,0.0026857518,0.062812574,0.41889068,0.47422603],"study_design_scores_gemma":[0.00007146255,0.000047771042,0.008999074,0.00020846837,0.0000867262,0.00009613889,0.00014238995,0.019782513,0.0035982493,0.019606443,0.94730496,0.000055761982],"about_ca_topic_score_codex":0.009203333,"about_ca_topic_score_gemma":0.005246038,"teacher_disagreement_score":0.012397853,"about_ca_system_score_codex":0.0011008128,"about_ca_system_score_gemma":0.003087667,"threshold_uncertainty_score":0.04147494},"labels":[],"label_agreement":null},{"id":"W4410331733","doi":"10.5194/essd-17-2035-2025","title":"Discrete global grid system-based flow routing datasets in the Amazon and Yukon basins","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"U.S. Department of Energy","keywords":"Amazon rainforest; Grid; Routing (electronic design automation); Flow (mathematics); Amazon basin; Geology; Computer science; Meteorology; Environmental science; Climatology; Geodesy; Geography; Mathematics; Computer network","score_opus":0.013663210853412266,"score_gpt":0.2594848424811436,"score_spread":0.24582163162773135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410331733","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81047755,0.00012647308,0.0034572454,0.00046986906,0.000027899354,0.00009519978,0.17919584,0.0012083019,0.0049414975],"genre_scores_gemma":[0.8378461,0.00008886348,0.007647478,0.000044009626,0.0000046366035,0.00012505794,0.15336585,0.00006824943,0.0008098037],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998375,0.000027500797,0.000022717528,0.000051449842,0.000039175105,0.000021477326],"domain_scores_gemma":[0.99943024,0.00009697456,0.00006816997,0.00015079735,0.00020246943,0.000051398878],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025068843,0.00021414527,0.0001928219,0.0009644943,0.00030482913,0.0004578603,0.00057764427,0.00035922532,0.0017541151],"category_scores_gemma":[0.0013759886,0.00013316314,0.0002466149,0.0022984464,0.00032329652,0.0004697557,0.00042798705,0.0002727492,0.00029757607],"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":[0.0005825033,0.00039234353,0.39823964,0.0006399859,0.00036564583,0.00065253413,0.0009466157,0.36633337,0.0060308697,0.015835825,0.108891256,0.10108943],"study_design_scores_gemma":[0.0005516655,0.00007740097,0.41603655,0.00010285294,0.00008782732,0.00020922291,0.001717816,0.48974454,0.004500459,0.0057561113,0.08107266,0.00014287031],"about_ca_topic_score_codex":0.20313096,"about_ca_topic_score_gemma":0.25395155,"teacher_disagreement_score":0.79686904,"about_ca_system_score_codex":0.001314588,"about_ca_system_score_gemma":0.0012611282,"threshold_uncertainty_score":0.40389723},"labels":[],"label_agreement":null},{"id":"W4410934669","doi":"10.5194/essd-17-2249-2025","title":"Distribution and characteristics of lightning-ignited wildfires in boreal forests – the BoLtFire database","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","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":"Natural Resources Canada; Canadian Forest Service","funders":"European Space Agency","keywords":"Lightning (connector); Taiga; Environmental science; Boreal; Distribution (mathematics); Meteorology; Database; Climatology; Atmospheric sciences; Geology; Geography; Computer science; Archaeology; Forestry; Physics","score_opus":0.009974093613789039,"score_gpt":0.24067095568578098,"score_spread":0.23069686207199194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410934669","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":[0.120527804,0.0017968012,0.0008419663,0.00021449183,0.00008383311,0.00006706227,0.8719461,0.0010534998,0.0034685049],"genre_scores_gemma":[0.071583256,0.00030994174,0.002238914,0.00006780072,0.000020966118,0.000099522505,0.9250899,0.00006416299,0.0005255427],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940896,0.00006432417,0.00010137144,0.0001981891,0.00015358598,0.00007355963],"domain_scores_gemma":[0.9989606,0.00017795152,0.00028263565,0.00017735583,0.00025301997,0.00014838121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007644005,0.0006146755,0.0004952734,0.0026032063,0.00038904918,0.00082062074,0.0008499188,0.0006807515,0.0020778647],"category_scores_gemma":[0.0021209174,0.00017917689,0.0007628891,0.0025543303,0.0002492059,0.0006402102,0.00063319784,0.0005768775,0.0016953157],"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":[0.0007756061,0.000478758,0.48330218,0.0022635802,0.000674197,0.000606018,0.0007096933,0.009644296,0.0042227227,0.0016937555,0.4436525,0.051976774],"study_design_scores_gemma":[0.00019829677,0.00011076694,0.77557635,0.00055164786,0.00014971053,0.0006067962,0.0007429409,0.0137884235,0.0016515034,0.0007645485,0.20575376,0.00010515364],"about_ca_topic_score_codex":0.05141683,"about_ca_topic_score_gemma":0.099282734,"teacher_disagreement_score":0.05141683,"about_ca_system_score_codex":0.0007912895,"about_ca_system_score_gemma":0.00075078214,"threshold_uncertainty_score":0.10223508},"labels":[],"label_agreement":null},{"id":"W4411031901","doi":"10.5194/essd-17-2277-2025","title":"Mapping the world's inland surface waters: an upgrade to the Global Lakes and Wetlands Database (GLWD v2)","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Hydrology and Watershed Management Studies","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 Alberta; McGill University","funders":"Nature Conservancy; World Wildlife Fund","keywords":"Wetland; Upgrade; Database; Environmental science; Surface water; Geology; Hydrology (agriculture); Oceanography; Physical geography; Geography; Computer science; Ecology; Environmental engineering","score_opus":0.02927833545975894,"score_gpt":0.2687567569297764,"score_spread":0.23947842147001747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411031901","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":[0.02636253,0.00037922437,0.013846927,0.00046545413,0.00013296359,0.00030926074,0.94576645,0.0067816465,0.005955523],"genre_scores_gemma":[0.023788575,0.00023106433,0.029950613,0.00015377297,0.00003139475,0.0004331876,0.9437268,0.0005654837,0.0011191502],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99886775,0.00013202416,0.00022381629,0.0003192659,0.00036516643,0.00009195463],"domain_scores_gemma":[0.99615556,0.00035435005,0.00049294956,0.0011823665,0.001373583,0.00044116107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00189142,0.0007986028,0.00071525975,0.005345578,0.00043073835,0.0019765913,0.0015726029,0.0006009283,0.00484366],"category_scores_gemma":[0.004644334,0.00047601605,0.0006769894,0.010824513,0.00022834766,0.002478986,0.0033840004,0.0009338969,0.0036236905],"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":[0.00040570818,0.00017516667,0.11319007,0.00142158,0.0003963886,0.00043838532,0.0010869243,0.004042953,0.0046287114,0.004852712,0.6447601,0.22460142],"study_design_scores_gemma":[0.00020123833,0.00006469397,0.20683683,0.00042208226,0.0001597523,0.00028471238,0.00084464817,0.008712516,0.0047847163,0.00320582,0.77432036,0.00016263506],"about_ca_topic_score_codex":0.042934846,"about_ca_topic_score_gemma":0.032926064,"teacher_disagreement_score":0.042934846,"about_ca_system_score_codex":0.00067006116,"about_ca_system_score_gemma":0.001949007,"threshold_uncertainty_score":0.085369825},"labels":[],"label_agreement":null},{"id":"W4411253423","doi":"10.5194/essd-17-2507-2025","title":"WetCH <sub>4</sub> : a machine-learning-based upscaling of methane fluxes of northern wetlands during 2016–2022","year":2025,"lang":"en","type":"article","venue":"Earth system science data","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":"Université de Montréal; McGill University","funders":"European Commission","keywords":"Methane; Wetland; Environmental science; Hydrology (agriculture); Geology; Chemistry; Ecology","score_opus":0.006953849307034677,"score_gpt":0.20984649428522778,"score_spread":0.2028926449781931,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411253423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99084395,0.00009168187,0.0050473306,0.000120425066,0.000042133714,0.000029497616,0.001966625,0.0010619335,0.0007964023],"genre_scores_gemma":[0.9878925,0.000028645334,0.0075629856,0.000024905614,0.000020034144,0.000027892273,0.0040861415,0.00004547363,0.00031133607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987257,0.000022970455,0.000007409089,0.000048019487,0.000024691595,0.000024321842],"domain_scores_gemma":[0.9996779,0.00007690055,0.000044329598,0.000053604603,0.00010218416,0.000045159497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000948038,0.0008310561,0.00044654854,0.00061058067,0.00035460704,0.00043061044,0.00074624404,0.0004158615,0.0009205083],"category_scores_gemma":[0.0010446765,0.00028068502,0.0009609835,0.00043637143,0.0002817884,0.00061007665,0.00039258142,0.00048362426,0.00024446088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004784367,0.0004329615,0.116250426,0.00009165979,0.00037205435,0.00017658353,0.0000596387,0.82912046,0.007246725,0.0002691286,0.0032651962,0.042236693],"study_design_scores_gemma":[0.000029740459,0.00004019822,0.022405725,0.0000049739797,0.000024128654,0.00000782693,0.000015066931,0.97543323,0.0016027382,0.00008720657,0.00033610006,0.000013003156],"about_ca_topic_score_codex":0.066475965,"about_ca_topic_score_gemma":0.06157005,"teacher_disagreement_score":0.066475965,"about_ca_system_score_codex":0.0008639181,"about_ca_system_score_gemma":0.001009773,"threshold_uncertainty_score":0.13217807},"labels":[],"label_agreement":null},{"id":"W4411294981","doi":"10.5194/essd-17-2553-2025","title":"ARGO: ARctic greenhouse Gas Observation metadata version 1","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","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":"University of British Columbia","funders":"H2020 European Research Council; HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Bundesministerium für Forschung und Technologie; National Science Foundation; TED; Gordon and Betty Moore Foundation; Minderoo Foundation","keywords":"Argo; Metadata; Greenhouse gas; The arctic; Arctic; Environmental science; Climatology; Meteorology; Computer science; Oceanography; Geology; World Wide Web; Geography","score_opus":0.020356647383506014,"score_gpt":0.23208796727759362,"score_spread":0.2117313198940876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411294981","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":[0.0006726518,0.000108509106,0.00084608025,0.00007972413,0.00004801448,0.000020914093,0.9955544,0.0017072556,0.00096243183],"genre_scores_gemma":[0.002201136,0.00011460303,0.0021986666,0.00006648249,0.000015758136,0.0000739243,0.9943374,0.0005018922,0.00049005833],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989507,0.00016428276,0.00020269252,0.00027297199,0.00025573812,0.00015346639],"domain_scores_gemma":[0.9980971,0.0003775691,0.00032734487,0.00052462687,0.00046093162,0.00021241035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017833463,0.0012167292,0.00072905223,0.0026838137,0.0005079773,0.001879647,0.0014077164,0.0012174039,0.024199467],"category_scores_gemma":[0.0046055135,0.0005388041,0.0009855166,0.0044838767,0.00032513594,0.002370872,0.002397245,0.001290415,0.028634997],"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":[0.0003589853,0.00004291671,0.013419572,0.0023187126,0.00016578365,0.00018561698,0.00024084943,0.002892478,0.0039120945,0.0038907286,0.9502241,0.022348149],"study_design_scores_gemma":[0.00013988369,0.000019435036,0.013854246,0.00047257097,0.00006107139,0.00008063946,0.00015833027,0.0013149237,0.0017895851,0.0029752087,0.9790467,0.000087374836],"about_ca_topic_score_codex":0.025835682,"about_ca_topic_score_gemma":0.032639813,"teacher_disagreement_score":0.025835682,"about_ca_system_score_codex":0.00079427153,"about_ca_system_score_gemma":0.00222401,"threshold_uncertainty_score":0.08095527},"labels":[],"label_agreement":null},{"id":"W4411383704","doi":"10.5194/essd-17-2641-2025","title":"Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":132,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Concordia University; Environment and Climate Change Canada","funders":"HORIZON EUROPE Excellent Science; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Department for Enterprise, Trade and Investment, UK Government; Engineering and Physical Sciences Research Council; Natural Environment Research Council; National Research Foundation of Korea; H2020 European Research Council; National Aeronautics and Space Administration","keywords":"Climate change; Environmental science; Climate system; Climatology; Key (lock); Geology; Ecology; Oceanography; Biology","score_opus":0.006087521260532171,"score_gpt":0.23095942013915152,"score_spread":0.22487189887861936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411383704","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":[0.0060916687,0.007143064,0.00843557,0.002988203,0.0023115412,0.00024780125,0.9621325,0.0012862021,0.00936339],"genre_scores_gemma":[0.054526363,0.010463714,0.03080039,0.0014252849,0.00084970467,0.0013328065,0.89584714,0.00057882967,0.0041757394],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971831,0.0005794163,0.0004857451,0.0004253452,0.0011026135,0.00022381479],"domain_scores_gemma":[0.9875481,0.0010436788,0.0027396344,0.00094393437,0.0068820002,0.00084272836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006374905,0.0018387422,0.0014865439,0.0085364,0.0005616147,0.0025892905,0.0016871722,0.00097175204,0.010759872],"category_scores_gemma":[0.010833053,0.0006260504,0.0012098736,0.022810692,0.0004902955,0.0029776476,0.00374436,0.0022168632,0.0061604436],"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":[0.00014878926,0.000061244595,0.061673492,0.0031544366,0.0005771695,0.00006954246,0.0002696112,0.003621428,0.00068675395,0.004022597,0.80561817,0.12009677],"study_design_scores_gemma":[0.000060187213,0.000043282027,0.116665445,0.0010838741,0.00024391913,0.00009134214,0.00030205582,0.0023563358,0.0010817639,0.0029666873,0.87497014,0.00013494241],"about_ca_topic_score_codex":0.063789934,"about_ca_topic_score_gemma":0.049434442,"teacher_disagreement_score":0.063789934,"about_ca_system_score_codex":0.0021881317,"about_ca_system_score_gemma":0.005918942,"threshold_uncertainty_score":0.12683725},"labels":[],"label_agreement":null},{"id":"W4411430209","doi":"10.5194/essd-18-4019-2026","title":"A daily gridded high-resolution meteorological data set for historical impact studies in Switzerland since 1763","year":2025,"lang":"en","type":"preprint","venue":"Earth system science data","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":"Horizon 2020 Framework Programme; European Commission; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Relative humidity; Sunshine duration; Climatology; Environmental science; Precipitation; Wind speed; Mean radiant temperature; Mean squared error; Meteorology; Angstrom; Atmospheric sciences; Climate change; Geography; Mathematics; Statistics; Geology","score_opus":0.20225352425475937,"score_gpt":0.37047663555467686,"score_spread":0.1682231112999175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411430209","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66002345,0.0005158267,0.0030189399,0.00015529829,0.00008284533,0.00014051187,0.33103162,0.0006184386,0.004412952],"genre_scores_gemma":[0.61951166,0.00023590273,0.0035957512,0.000026938687,0.000047845668,0.00032158248,0.37484843,0.000075660726,0.0013362244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997092,0.00004666438,0.000029076686,0.000079702906,0.000092760805,0.000042586777],"domain_scores_gemma":[0.99941134,0.00007314219,0.00013092923,0.00009648032,0.00021357015,0.00007445424],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003660139,0.0006296497,0.0002864152,0.0022268465,0.00034374342,0.0004826114,0.00030766387,0.00037569818,0.003587352],"category_scores_gemma":[0.0008082284,0.00014248837,0.00042745372,0.003123604,0.00019853184,0.00029398155,0.00036443735,0.00032014408,0.0013324807],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008612143,0.00039531602,0.644867,0.0008082394,0.0006237114,0.0021828688,0.0010797845,0.11682871,0.013342375,0.0016984544,0.1278932,0.089419104],"study_design_scores_gemma":[0.000045702374,0.000054443102,0.9600186,0.000051660703,0.000036184392,0.000111814654,0.00022615591,0.015591303,0.0011325042,0.00013021768,0.02255455,0.00004692573],"about_ca_topic_score_codex":0.07878789,"about_ca_topic_score_gemma":0.089820854,"teacher_disagreement_score":0.07878789,"about_ca_system_score_codex":0.0006612814,"about_ca_system_score_gemma":0.00075186254,"threshold_uncertainty_score":0.15665859},"labels":[],"label_agreement":null},{"id":"W4411703129","doi":"10.5194/essd-17-2887-2025","title":"Permafrost–wildfire interactions: active layer thickness estimates for paired burned and unburned sites in northern high latitudes","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":true,"ca_institutions":"University of Alberta; University of Guelph; Wilfrid Laurier University; University of Ottawa","funders":"Office of Polar Programs","keywords":"Permafrost; Latitude; Geology; Active layer; Atmospheric sciences; Environmental science; Climatology; Physical geography; Layer (electronics); Oceanography; Geography; Geodesy; Materials science","score_opus":0.07365160740947896,"score_gpt":0.31034338131598616,"score_spread":0.2366917739065072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411703129","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8442567,0.0003995643,0.001269981,0.00006428777,0.000033299515,0.000025097517,0.15185514,0.00034146052,0.0017545321],"genre_scores_gemma":[0.73331296,0.00016197207,0.0041669817,0.00003557206,0.000019919378,0.00007226099,0.26143286,0.000057605495,0.00073987496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996506,0.000041289095,0.000029239487,0.00013251074,0.000082473554,0.00006398396],"domain_scores_gemma":[0.99896765,0.00013037767,0.00026061747,0.0001880761,0.0003546345,0.000098713695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004974669,0.0003455828,0.00036147426,0.0012733163,0.00038949933,0.0005818401,0.00045697083,0.00034626698,0.0015720902],"category_scores_gemma":[0.0011198961,0.00022769415,0.00047545444,0.001749438,0.00021554911,0.00035249055,0.0004943235,0.0003370407,0.0007870042],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001911843,0.00008330412,0.97286946,0.000098633674,0.00019005178,0.000098465825,0.00019613667,0.0034074066,0.001744445,0.00008150214,0.01005417,0.010985202],"study_design_scores_gemma":[0.000018531333,0.000012872787,0.9913025,0.000030417174,0.000031071042,0.00006366189,0.000203101,0.002769834,0.0006890004,0.000041230447,0.004825512,0.000012256152],"about_ca_topic_score_codex":0.094994724,"about_ca_topic_score_gemma":0.24552569,"teacher_disagreement_score":0.094994724,"about_ca_system_score_codex":0.00069253676,"about_ca_system_score_gemma":0.00059038313,"threshold_uncertainty_score":0.1888836},"labels":[],"label_agreement":null},{"id":"W4411758205","doi":"10.5194/essd-17-2985-2025","title":"The GIEMS-MethaneCentric database: a dynamic and comprehensive global product of methane-emitting aquatic areas","year":2025,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Institut national des sciences de l'Univers; Agence Nationale de la Recherche; European Space Agency","keywords":"Methane; Environmental science; Database; Product (mathematics); Computer science; Chemistry; Mathematics","score_opus":0.012268365993131386,"score_gpt":0.26385612484758725,"score_spread":0.25158775885445583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411758205","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":[0.021559004,0.00033874583,0.0036329145,0.00007547431,0.000040754105,0.000052856747,0.96896905,0.0033243173,0.0020069615],"genre_scores_gemma":[0.02623897,0.00016799266,0.0075834664,0.00003110671,0.000014702321,0.00013498396,0.96507084,0.0002982654,0.00045962768],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99966633,0.00004558992,0.00004297879,0.00011400421,0.00009285092,0.000038211034],"domain_scores_gemma":[0.9994855,0.000057187004,0.00011992016,0.00012034544,0.00016219117,0.00005489057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048025238,0.0012816454,0.00062461226,0.0026784982,0.00027229034,0.0007271753,0.0011474392,0.0007684321,0.0052271252],"category_scores_gemma":[0.0010937273,0.00040811783,0.00079975196,0.004355638,0.0001909983,0.0011147886,0.00099666,0.00055388093,0.004955664],"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":[0.000849047,0.0002782698,0.10639674,0.0034647624,0.0011919052,0.0008266032,0.0005459024,0.05586827,0.019729344,0.005026687,0.70220023,0.10362236],"study_design_scores_gemma":[0.00039833257,0.00010292903,0.18549524,0.00034542644,0.00025469178,0.0003153791,0.00051458797,0.052537378,0.012565126,0.0031132917,0.74414754,0.00021011081],"about_ca_topic_score_codex":0.02106318,"about_ca_topic_score_gemma":0.020397075,"teacher_disagreement_score":0.02106318,"about_ca_system_score_codex":0.00048105183,"about_ca_system_score_gemma":0.00083968556,"threshold_uncertainty_score":0.041881144},"labels":[],"label_agreement":null},{"id":"W4412042192","doi":"10.5194/essd-17-3219-2025","title":"China's annual forest age dataset at a 30 m spatial resolution from 1986 to 2022","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","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 Toronto","funders":"Natural Science Foundation of Fujian Province; National Natural Science Foundation of China","keywords":"China; Environmental science; Resolution (logic); Climatology; Geology; Geography; Computer science; Archaeology","score_opus":0.013487616425374884,"score_gpt":0.2608264286053386,"score_spread":0.24733881217996373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412042192","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":[0.043610975,0.0002461474,0.001165333,0.00009053323,0.00005283799,0.00008648187,0.9517419,0.00089134445,0.0021145276],"genre_scores_gemma":[0.04018502,0.000118759635,0.0018989178,0.00002479812,0.000013188947,0.00011480168,0.9568287,0.000030152252,0.0007857416],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9995828,0.00004025996,0.000055756147,0.00012300153,0.00013371352,0.00006439416],"domain_scores_gemma":[0.99900144,0.000047989182,0.00011915523,0.00019795982,0.0005391636,0.00009423366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006379353,0.0010116686,0.00050903327,0.002798741,0.00033729832,0.0004903876,0.0008853164,0.00039855693,0.003134572],"category_scores_gemma":[0.0009161295,0.0002986151,0.00069386396,0.0042249863,0.00018796153,0.0004905489,0.0005191749,0.00039773714,0.0026835855],"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":[0.00065523095,0.00032850026,0.29393655,0.0017571317,0.00063834206,0.0007538423,0.0003093646,0.036625385,0.0061232154,0.0017346741,0.5783219,0.078816],"study_design_scores_gemma":[0.00017554211,0.0000890121,0.6997397,0.0001567959,0.00012963529,0.00019256983,0.00022477568,0.036056332,0.0034123862,0.00054129754,0.25917426,0.00010774647],"about_ca_topic_score_codex":0.1312067,"about_ca_topic_score_gemma":0.15313952,"teacher_disagreement_score":0.1312067,"about_ca_system_score_codex":0.0009961539,"about_ca_system_score_gemma":0.0016651693,"threshold_uncertainty_score":0.26088595},"labels":[],"label_agreement":null},{"id":"W4412042329","doi":"10.5194/essd-17-3203-2025","title":"A high-resolution pan-Arctic meltwater discharge dataset from 1950 to 2021","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","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":"HORIZON EUROPE European Research Council; Bundesministerium für Bildung und Forschung","keywords":"Meltwater; Arctic; The arctic; Resolution (logic); Environmental science; Geology; Climatology; Meteorology; Remote sensing; Oceanography; Snow; Computer science; Geography; Geomorphology","score_opus":0.045909070514183685,"score_gpt":0.27531243328103955,"score_spread":0.22940336276685586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412042329","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":[0.021474592,0.00011070466,0.00030077298,0.00006434533,0.000027424881,0.000017642864,0.9768173,0.0002633287,0.000923879],"genre_scores_gemma":[0.015371513,0.00006869241,0.00079812703,0.000018039476,0.0000109297835,0.000036110363,0.98323625,0.00002156166,0.00043877022],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996284,0.000032309734,0.00005080054,0.00012024126,0.00011599971,0.0000522923],"domain_scores_gemma":[0.99925023,0.000056270565,0.00009028066,0.00008688252,0.0004379956,0.00007832858],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046313723,0.0005465752,0.00044138668,0.0018986345,0.0003578187,0.0006256886,0.00046479618,0.00035535358,0.0029971914],"category_scores_gemma":[0.0010062184,0.00015856045,0.00060805393,0.0034597276,0.00012795792,0.0003059349,0.0005897892,0.00038704806,0.0027590797],"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":[0.00060766796,0.00021424302,0.28055575,0.0012293947,0.001024947,0.00044400143,0.00034876718,0.01689867,0.0063908594,0.0012949755,0.6254079,0.06558279],"study_design_scores_gemma":[0.00017935275,0.00008242106,0.6637592,0.00030166263,0.0001626876,0.00012178442,0.00033031288,0.014672935,0.0035934902,0.00048816498,0.31622642,0.00008162009],"about_ca_topic_score_codex":0.21082672,"about_ca_topic_score_gemma":0.25854245,"teacher_disagreement_score":0.21082672,"about_ca_system_score_codex":0.00085153803,"about_ca_system_score_gemma":0.0023842745,"threshold_uncertainty_score":0.41919917},"labels":[],"label_agreement":null},{"id":"W4412544614","doi":"10.5194/essd-17-3473-2025","title":"Global agricultural lands in the year 2015","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change impacts on agriculture","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":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Agriculture; Environmental science; Geography; Archaeology","score_opus":0.04821574249329743,"score_gpt":0.3023549511388322,"score_spread":0.2541392086455348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412544614","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":[0.007452618,0.00082641543,0.00033128145,0.00034048536,0.00023526304,0.00002722996,0.9805597,0.00026255177,0.009964386],"genre_scores_gemma":[0.023458725,0.0010686297,0.0016158209,0.00019286408,0.000054734945,0.00007000318,0.9688702,0.000070942275,0.0045980616],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99961394,0.000030189189,0.000052467625,0.00008950641,0.00015960656,0.000054383676],"domain_scores_gemma":[0.9992489,0.000043491633,0.00011438527,0.00008611072,0.00044107888,0.00006595504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043199208,0.00051245204,0.00032698523,0.0031817441,0.0002922779,0.0014206797,0.000424553,0.00028458468,0.008521977],"category_scores_gemma":[0.001454049,0.00016193413,0.00033723205,0.0070467717,0.00018602717,0.0011634163,0.0010655965,0.0005157,0.007009542],"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":[0.00010783966,0.000029388637,0.046312977,0.0010246956,0.000080958496,0.00011059617,0.00037975254,0.0011302216,0.00058952795,0.0061299945,0.8789774,0.06512673],"study_design_scores_gemma":[0.000011628958,0.00000985231,0.10943612,0.0002408541,0.000021672962,0.000090911824,0.00044790702,0.00041286132,0.0005066991,0.0008682523,0.8879351,0.00001808952],"about_ca_topic_score_codex":0.06467537,"about_ca_topic_score_gemma":0.07679939,"teacher_disagreement_score":0.06467537,"about_ca_system_score_codex":0.0010516684,"about_ca_system_score_gemma":0.0014311383,"threshold_uncertainty_score":0.1285978},"labels":[],"label_agreement":null},{"id":"W4412761698","doi":"10.5194/essd-17-3619-2025","title":"Northern Hemisphere in situ snow water equivalent dataset (NorSWE, 1979–2021)","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Water equivalent; Northern Hemisphere; Snow; In situ; Climatology; Geology; Environmental science; Meteorology; Geography","score_opus":0.03485267307849697,"score_gpt":0.26203794524188045,"score_spread":0.2271852721633835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412761698","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":[0.0012356265,0.00006177815,0.00010811715,0.0000429959,0.000020621379,0.000009978763,0.99760485,0.00012434632,0.00079158944],"genre_scores_gemma":[0.0023646748,0.00004286359,0.0003602945,0.00002141015,0.000008456688,0.00003341793,0.9966988,0.000022518376,0.0004475566],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996356,0.000036572867,0.000039917766,0.00010952159,0.000117262985,0.00006114495],"domain_scores_gemma":[0.99886274,0.000069756185,0.00011408369,0.00015399528,0.00070934434,0.00009014131],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00057000516,0.0007961137,0.0006865171,0.0015435258,0.00047368158,0.0007998789,0.0011851708,0.0005337086,0.011773804],"category_scores_gemma":[0.0014219038,0.00023972023,0.0005873288,0.0040255147,0.00018920492,0.0006619274,0.00071594544,0.0005960123,0.009685522],"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":[0.00015678178,0.000038265254,0.01667376,0.0006414011,0.00016952783,0.00009856291,0.00007533952,0.0013172714,0.0009048691,0.0009081262,0.96814024,0.010875872],"study_design_scores_gemma":[0.00027721195,0.00002240466,0.10996846,0.0002618842,0.00007569994,0.00007725477,0.00022985098,0.0025634908,0.0012038536,0.0008053223,0.8844627,0.000051870164],"about_ca_topic_score_codex":0.26419145,"about_ca_topic_score_gemma":0.32421228,"teacher_disagreement_score":0.26419145,"about_ca_system_score_codex":0.0012642533,"about_ca_system_score_gemma":0.0024739078,"threshold_uncertainty_score":0.52530736},"labels":[],"label_agreement":null},{"id":"W4412763510","doi":"10.5194/essd-17-3599-2025","title":"Reconstructed global monthly burned area maps from 1901 to 2020","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","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":"Tsinghua University; National Natural Science Foundation of China; Yunnan Provincial Science and Technology Department; European Space Agency; National Key Research and Development Program of China; Schmidt Futures","keywords":"Climatology; Environmental science; Geology","score_opus":0.011687906201823273,"score_gpt":0.23732260553328072,"score_spread":0.22563469933145744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412763510","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90968627,0.0010525171,0.01006398,0.0004443668,0.000101914506,0.00002147145,0.07300215,0.0011166002,0.0045107193],"genre_scores_gemma":[0.94901365,0.00035230516,0.006372381,0.00005662194,0.000028219738,0.0000278185,0.0433748,0.00009778002,0.00067637814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999861,0.00002582647,0.000008336597,0.000049513128,0.00002759971,0.000027636268],"domain_scores_gemma":[0.999691,0.00005363379,0.00005876296,0.00004513021,0.00012718694,0.000024357416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005148494,0.0005342965,0.00026976294,0.001175172,0.0001236425,0.00039492597,0.0004022796,0.0003432635,0.0020457464],"category_scores_gemma":[0.0008516419,0.00020702247,0.0007178406,0.0015973564,0.00019256432,0.0005074651,0.00026504224,0.00039567397,0.000791102],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003047979,0.00009463149,0.29915684,0.00019714057,0.00038428744,0.00016421803,0.00010814142,0.6412585,0.0022977786,0.0015323666,0.015233076,0.039268315],"study_design_scores_gemma":[0.000043498523,0.000058803285,0.32013232,0.000086337524,0.000104148596,0.00015827981,0.00014589056,0.66148573,0.0021884963,0.0012873078,0.0142556485,0.000053580126],"about_ca_topic_score_codex":0.03082131,"about_ca_topic_score_gemma":0.025004605,"teacher_disagreement_score":0.03082131,"about_ca_system_score_codex":0.0008530949,"about_ca_system_score_gemma":0.0003731722,"threshold_uncertainty_score":0.061283827},"labels":[],"label_agreement":null},{"id":"W4413081353","doi":"10.5194/essd-17-3411-2025","title":"OLIGOTREND, a global database of multi-decadal chlorophyll <i>a</i> and water quality time series for rivers, lakes, and estuaries","year":2025,"lang":"en","type":"article","venue":"Earth system science data","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":"Continental (Canada)","funders":"","keywords":"Eutrophication; Estuary; Environmental science; Biogeochemical cycle; Nutrient; Ecosystem; Chlorophyll a; Water quality; Drainage basin; Oceanography; Database; Hydrology (agriculture); Ecology; Geography; Computer science; Geology; Biology","score_opus":0.02217679160685116,"score_gpt":0.2572626668971373,"score_spread":0.23508587529028613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413081353","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":[0.017784985,0.00045434607,0.0024128482,0.00010076056,0.000046455116,0.00008458149,0.9754742,0.0011428186,0.002498999],"genre_scores_gemma":[0.025308872,0.00037236608,0.007844925,0.00005810693,0.000029140248,0.00033933204,0.96481556,0.00023424442,0.0009973757],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99932635,0.0000902185,0.00014288498,0.0002222587,0.00015261886,0.00006573446],"domain_scores_gemma":[0.99692625,0.00037787514,0.00085485296,0.00041554868,0.001022853,0.0004025841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017273262,0.0007500362,0.00071125507,0.0067685363,0.0003428766,0.0013068179,0.0007638344,0.00044200817,0.0058479807],"category_scores_gemma":[0.0041745733,0.0003740769,0.0004453952,0.009245915,0.00014523762,0.0006801834,0.0013197925,0.000447779,0.0029986138],"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":[0.00067336403,0.00018420146,0.43021575,0.0024773276,0.00079067104,0.0003171711,0.00086905254,0.005501915,0.006389319,0.00502601,0.4114591,0.13609621],"study_design_scores_gemma":[0.0001283138,0.000060939838,0.54823774,0.00055411714,0.00018116852,0.00016663467,0.0004677654,0.0044074953,0.0021718992,0.0010864846,0.44243988,0.00009754666],"about_ca_topic_score_codex":0.059559155,"about_ca_topic_score_gemma":0.0884267,"teacher_disagreement_score":0.059559155,"about_ca_system_score_codex":0.0009802426,"about_ca_system_score_gemma":0.0034561043,"threshold_uncertainty_score":0.11842501},"labels":[],"label_agreement":null},{"id":"W4413130195","doi":"10.5194/essd-17-3921-2025","title":"Compilation and analysis of thaw settlement test results: implications for prediction tools and stress–strain characterization in permafrost","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Climate change and permafrost","field":"Earth and Planetary 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":"University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Settlement (finance); Stress (linguistics); Strain (injury); Characterization (materials science); Stress test; Geology; Computer science; Oceanography","score_opus":0.07130803163648819,"score_gpt":0.299264109061397,"score_spread":0.2279560774249088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413130195","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":[0.1745448,0.0037999921,0.024148958,0.00064470497,0.0002460904,0.00030639637,0.7813474,0.0048455815,0.010116097],"genre_scores_gemma":[0.19957241,0.003069596,0.055746175,0.00014531493,0.00014603666,0.0007424781,0.73798186,0.0008123588,0.0017837669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99549425,0.0007108761,0.0013929872,0.00089010404,0.0013176128,0.00019411619],"domain_scores_gemma":[0.963864,0.015388736,0.0065395483,0.0056266417,0.008027957,0.0005531226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008553772,0.0009069251,0.00082828396,0.018209469,0.00045196307,0.002888588,0.00106431,0.00076534663,0.002403874],"category_scores_gemma":[0.026252363,0.00035025072,0.0011296737,0.017522251,0.0005656834,0.002174245,0.0017595197,0.00062845927,0.0019030864],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005522864,0.00030399617,0.540355,0.011622909,0.00089620275,0.0010785045,0.0023758493,0.02068327,0.009229096,0.004849696,0.08110701,0.3269461],"study_design_scores_gemma":[0.000052272095,0.00016335023,0.7769663,0.0026710862,0.0003834536,0.00047635974,0.0023064269,0.0135664735,0.010410147,0.004145748,0.18867369,0.00018460679],"about_ca_topic_score_codex":0.007578439,"about_ca_topic_score_gemma":0.010552267,"teacher_disagreement_score":0.018209469,"about_ca_system_score_codex":0.00088575843,"about_ca_system_score_gemma":0.0016657138,"threshold_uncertainty_score":0.045237243},"labels":[],"label_agreement":null},{"id":"W4414553318","doi":"10.5194/essd-17-4865-2025","title":"A bioavailable strontium isoscape of Australia","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Radioactive element chemistry and processing","field":"Chemistry","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","funders":"","keywords":"Yilgarn Craton; Bedrock; Sediment; Sedimentary rock; Archean; Provenance; Strontium; Cenozoic; Isotopes of strontium; Craton","score_opus":0.05308155537097404,"score_gpt":0.3322577701664082,"score_spread":0.27917621479543414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414553318","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9423646,0.00043236377,0.0068578906,0.000091010246,0.000014157598,0.00022679198,0.04352865,0.00032501106,0.006159477],"genre_scores_gemma":[0.9122372,0.0003055394,0.018378334,0.00006871402,0.000012300938,0.00036305617,0.06306835,0.00009692856,0.0054695588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99975854,0.00002315263,0.000019600366,0.00008762779,0.000081794235,0.000029433626],"domain_scores_gemma":[0.99947673,0.000029752573,0.00009222461,0.000054516768,0.0002983186,0.00004844948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032225918,0.00027742673,0.00024061007,0.0021774305,0.00037884768,0.00055643107,0.00033493157,0.00019573496,0.0014760203],"category_scores_gemma":[0.0007061532,0.00022807636,0.00034332552,0.002905063,0.00020580401,0.00026708248,0.00060873845,0.0002462244,0.0007761451],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027373497,0.00027490334,0.7098126,0.0008996283,0.00032053964,0.0013902789,0.003832437,0.026626423,0.026428606,0.0019346618,0.022024319,0.20618187],"study_design_scores_gemma":[0.000013895569,0.000033050113,0.94600695,0.00006189851,0.000036207417,0.0002215447,0.0004904536,0.020633407,0.0018732107,0.00033728126,0.030271756,0.000020347241],"about_ca_topic_score_codex":0.1643083,"about_ca_topic_score_gemma":0.2407035,"teacher_disagreement_score":0.1643083,"about_ca_system_score_codex":0.0010839197,"about_ca_system_score_gemma":0.0013312345,"threshold_uncertainty_score":0.32670385},"labels":[],"label_agreement":null},{"id":"W4414555866","doi":"10.5194/essd-17-4901-2025","title":"Observational ozone datasets over the global oceans and polar regions (version 2024)","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric Ozone and Climate","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":false,"ca_institutions":"University of Guelph; Environment and Climate Change Canada","funders":"JST-Mirai Program; National Oceanic and Atmospheric Administration; Marine National Facility; Swiss Polar Institute; Environment and Climate Change Canada; Ferring Pharmaceuticals; National Aeronautics and Space Administration; Japan Agency for Marine-Earth Science and Technology; Natural Environment Research Council; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; Japan Society for the Promotion of Science; Commonwealth Scientific and Industrial Research Organisation; Horizon 2020; National Center for Atmospheric Research; National Science Foundation","keywords":"Polar; Ozone; Troposphere; Tropospheric ozone; Ozone depletion; Altitude (triangle)","score_opus":0.03462938837562712,"score_gpt":0.26964271545121604,"score_spread":0.23501332707558892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414555866","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":[0.0056387004,0.000121498735,0.00019442699,0.000036270867,0.000027375714,0.0000298553,0.9932834,0.00014647945,0.00052192307],"genre_scores_gemma":[0.004812725,0.00005864113,0.0004803689,0.000024093782,0.000008048003,0.000068212976,0.99432063,0.000013618702,0.00021366247],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99934715,0.00010027991,0.000091388225,0.00017104091,0.00017331228,0.00011682267],"domain_scores_gemma":[0.9987649,0.00012681064,0.00022830837,0.0002197757,0.00053525396,0.00012491048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009688904,0.0012207063,0.00082877703,0.0023454174,0.00038968166,0.0008257684,0.0012107297,0.000968882,0.0046881638],"category_scores_gemma":[0.0014236559,0.00047024759,0.00093502545,0.006828277,0.00020575694,0.0006403936,0.0011131385,0.00082714466,0.0038804011],"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":[0.00076895027,0.00032014106,0.13221477,0.0037535643,0.0015192349,0.00038959619,0.00023284247,0.009457064,0.00596222,0.0018498531,0.8144798,0.029051911],"study_design_scores_gemma":[0.0006279816,0.00013208001,0.53560334,0.00047666533,0.00029511927,0.00014430072,0.00040662795,0.004789814,0.0040165572,0.0008754605,0.45253807,0.000093977],"about_ca_topic_score_codex":0.07877812,"about_ca_topic_score_gemma":0.07633624,"teacher_disagreement_score":0.07877812,"about_ca_system_score_codex":0.0007504863,"about_ca_system_score_gemma":0.0018206431,"threshold_uncertainty_score":0.15663916},"labels":[],"label_agreement":null},{"id":"W4415203241","doi":"10.5194/essd-17-5377-2025","title":"State of Wildfires 2024–2025","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus","funders":"H2020 European Research Council; Interreg; Natural Environment Research Council; Engineering and Physical Sciences Research Council; Westpac Scholars Trust; Innosuisse - Schweizerische Agentur für Innovationsförderung; Australian Research Council; European Centre for Medium-Range Weather Forecasts; Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais Renováveis; Ministerio de Ciencia e Innovación; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação para a Ciência e a Tecnologia; Fundação de Amparo à Pesquisa do Estado de São Paulo; Met Office","keywords":"Boreal; Climate change; Wetland; Amazon rainforest; Fire regime; Taiga; Global change; Air quality index","score_opus":0.012671369182338427,"score_gpt":0.2532344664620218,"score_spread":0.24056309727968336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415203241","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6677785,0.009875838,0.0050198836,0.003548114,0.001186509,0.00015831167,0.18685803,0.0010760031,0.12449878],"genre_scores_gemma":[0.91661644,0.001864965,0.0012221189,0.00066493946,0.00012976136,0.00007044844,0.06920684,0.000048984573,0.010175452],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994667,0.000051643678,0.000060712468,0.00007920392,0.00018881809,0.00015282266],"domain_scores_gemma":[0.9986338,0.00011207848,0.00041268347,0.00004388663,0.00055085734,0.00024660004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082387624,0.00032258226,0.00014566799,0.0014668055,0.00043918245,0.0010305798,0.0005367187,0.00036754928,0.008215224],"category_scores_gemma":[0.0011375985,0.00011039191,0.00058117724,0.0013492364,0.00018037955,0.0005796203,0.0005332499,0.0006013033,0.0015531715],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053937634,0.00015456007,0.7529275,0.0006972786,0.00037583342,0.00030407135,0.00022171633,0.0064885076,0.0010455295,0.00397748,0.07870124,0.154567],"study_design_scores_gemma":[0.000035643232,0.00018215818,0.85569435,0.00042279318,0.00011384816,0.00041166652,0.0009421869,0.009702113,0.0015150917,0.0014279194,0.12948917,0.00006301352],"about_ca_topic_score_codex":0.045575686,"about_ca_topic_score_gemma":0.058822736,"teacher_disagreement_score":0.045575686,"about_ca_system_score_codex":0.0010010684,"about_ca_system_score_gemma":0.0013036055,"threshold_uncertainty_score":0.090620816},"labels":[],"label_agreement":null},{"id":"W4415849494","doi":"10.5194/essd-17-5833-2025","title":"Monitoring the Earth's deformation with the SPOTGINS series","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"GNSS positioning and interference","field":"Engineering","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":"Japan Aerospace Exploration Agency; University of California, San Diego; National Oceanic and Atmospheric Administration; Kartverket; Vlaamse regering; Institut de Physique du Globe de Paris; Wuhan University; Regione Campania; Natural Environment Research Council; Istituto Nazionale di Geofisica e Vulcanologia; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche; Universidad Politécnica de Madrid; Natural Resources Canada; Korea Astronomy and Space Science Institute; European Space Agency; Universidade da Beira Interior; Centre National d’Etudes Spatiales; University of Hawai'i","keywords":"Series (stratigraphy); Geodetic datum; Time series; Satellite; Range (aeronautics); Product (mathematics); Deformation monitoring; Software","score_opus":0.015939898921430128,"score_gpt":0.2267193112187392,"score_spread":0.21077941229730907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415849494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6443272,0.001076057,0.012170279,0.00053988583,0.0007364151,0.00030476318,0.28310913,0.008920541,0.048815664],"genre_scores_gemma":[0.49192291,0.00041470915,0.017197255,0.000108447995,0.0002825655,0.00021176362,0.48117915,0.0008086112,0.007874523],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99966,0.00003647452,0.000025573127,0.00007463323,0.00018095115,0.000022386404],"domain_scores_gemma":[0.99930274,0.00005732473,0.00008802295,0.00014936012,0.00032789688,0.000074605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000606516,0.0005224952,0.0002915679,0.002320652,0.00017973283,0.0006585182,0.00054311776,0.00030408028,0.0034434947],"category_scores_gemma":[0.001424458,0.00012302941,0.00025255175,0.0018030024,0.0002226281,0.0006709871,0.00052857463,0.00027118874,0.0023870503],"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":[0.0015474542,0.00046660268,0.31446174,0.0007799632,0.00057839113,0.00083514885,0.0005387294,0.033456344,0.02814552,0.0052085323,0.35789973,0.2560818],"study_design_scores_gemma":[0.0002631829,0.00026959993,0.69638383,0.00015799417,0.0001505334,0.00032773547,0.00056831515,0.056203548,0.019427858,0.0012871758,0.22484897,0.00011133041],"about_ca_topic_score_codex":0.013557175,"about_ca_topic_score_gemma":0.019702183,"teacher_disagreement_score":0.013557175,"about_ca_system_score_codex":0.00030814295,"about_ca_system_score_gemma":0.00040925582,"threshold_uncertainty_score":0.026956499},"labels":[],"label_agreement":null},{"id":"W4415987887","doi":"10.5194/essd-17-5915-2025","title":"The HTAP_v3.2 emission mosaic: merging regional and global monthly emissions (2000–2020) to support air quality modelling and policies","year":2025,"lang":"en","type":"article","venue":"Earth system science data","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Mosaic; Emission inventory; Air quality index; Pollutant; Air pollution; Atmospheric research; Air pollutants; Pollution","score_opus":0.02382760968672091,"score_gpt":0.2846098772405522,"score_spread":0.26078226755383127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415987887","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":[0.17461446,0.0012586917,0.11809198,0.0019215979,0.0007699315,0.001133773,0.65313995,0.018375224,0.030694442],"genre_scores_gemma":[0.37509677,0.0006397064,0.23055604,0.0003215722,0.000119602206,0.0012349698,0.38587442,0.003744955,0.002411962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994722,0.00013225104,0.0000429003,0.00011933297,0.00016516833,0.00006822967],"domain_scores_gemma":[0.99889106,0.000115620256,0.0001561044,0.00029155382,0.0003715631,0.00017416247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034060148,0.0006859684,0.0004750408,0.0013262167,0.00033332803,0.0011264955,0.0011437247,0.0007035395,0.0035685112],"category_scores_gemma":[0.0030640166,0.00054375385,0.0010716323,0.00393485,0.00022888128,0.0018454565,0.001509898,0.0006597111,0.0014306552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015798858,0.00048450523,0.10339334,0.0012659583,0.001695292,0.00050312106,0.0006041706,0.41314635,0.016284667,0.01840315,0.27097997,0.17165953],"study_design_scores_gemma":[0.0007073777,0.00026138194,0.12816888,0.00049988076,0.0004111209,0.00021497738,0.0005748064,0.52804965,0.016347917,0.01569059,0.3088598,0.00021361689],"about_ca_topic_score_codex":0.054251093,"about_ca_topic_score_gemma":0.024820862,"teacher_disagreement_score":0.054251093,"about_ca_system_score_codex":0.0011260026,"about_ca_system_score_gemma":0.0027353899,"threshold_uncertainty_score":0.10787064},"labels":[],"label_agreement":null},{"id":"W4416397988","doi":"10.5194/essd-17-6255-2025","title":"High resolution continuous flow analysis impurity data from the Mount Brown South ice core, East Antarctica","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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 Alberta","funders":"Horizon 2020; Australian Research Council; Novo Nordisk Fonden; Danmarks Frie Forskningsfond; Villum Fonden","keywords":"Ice core; Meltwater; Snow; High resolution; Resolution (logic); Core (optical fiber); Sea ice; Salinity","score_opus":0.06105795765590828,"score_gpt":0.2603023076858296,"score_spread":0.19924435002992136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416397988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.63123226,0.0007291036,0.0017424482,0.00039125045,0.0001154823,0.00014993399,0.35585138,0.00074297603,0.009045089],"genre_scores_gemma":[0.41736323,0.00045839735,0.009647029,0.0002472361,0.00014289333,0.00032315857,0.56676126,0.00024624733,0.004810549],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997079,0.000025667518,0.000022793854,0.000058987534,0.00013715327,0.000047531983],"domain_scores_gemma":[0.99912876,0.00006451283,0.00010347763,0.00015350881,0.0004440112,0.000105671614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005016068,0.00041993262,0.00035999395,0.0015890683,0.00059671764,0.0007325997,0.0005859212,0.00047571282,0.0022453845],"category_scores_gemma":[0.0010112816,0.00015136633,0.00046932127,0.0022903713,0.00029045477,0.0003913396,0.0005942672,0.000508165,0.0015045768],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015035189,0.0007130308,0.6362544,0.00090790953,0.0008137858,0.0010928797,0.0012861021,0.024124952,0.028677218,0.0017842057,0.21225446,0.09058759],"study_design_scores_gemma":[0.00016509062,0.000080886115,0.8953201,0.00012664094,0.0000873542,0.00011943241,0.00039737692,0.009208576,0.004570898,0.00029203948,0.08956407,0.000067497145],"about_ca_topic_score_codex":0.09130127,"about_ca_topic_score_gemma":0.12911938,"teacher_disagreement_score":0.09130127,"about_ca_system_score_codex":0.00073386554,"about_ca_system_score_gemma":0.0013671467,"threshold_uncertainty_score":0.18153965},"labels":[],"label_agreement":null},{"id":"W4416735488","doi":"10.5194/essd-18-2703-2026","title":"A harmonized 2000–2024 dataset of daily river ice concentration and annual phenology for major Arctic rivers","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Academy of Finland","keywords":"Phenology; Arctic; Cryosphere; Climate change; Arctic ice pack; Snow; Breakup","score_opus":0.017818016354233916,"score_gpt":0.24831796957796737,"score_spread":0.23049995322373346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416735488","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":[0.056308053,0.00020092577,0.0019362104,0.00011924865,0.0000761753,0.000055154822,0.9389842,0.000773435,0.0015464952],"genre_scores_gemma":[0.036256265,0.00006011207,0.0036788445,0.00005013129,0.000019943283,0.00010621877,0.9591649,0.00007255168,0.0005910457],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9994325,0.00007219816,0.00007797911,0.00023512982,0.00011372532,0.00006834959],"domain_scores_gemma":[0.99860317,0.00010781657,0.00023170921,0.0002649485,0.0006736268,0.00011873868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010169109,0.0006014841,0.0004701306,0.0020185057,0.0003427774,0.0006846931,0.0006438998,0.0005219952,0.0021319382],"category_scores_gemma":[0.0013737973,0.00024654553,0.00080913806,0.0026106352,0.000162912,0.00051221,0.00072250067,0.00044213628,0.0023001255],"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":[0.0005722183,0.00035893676,0.41270757,0.0011245651,0.0010781152,0.00036610587,0.0004392244,0.029733924,0.010484447,0.0016051825,0.46612,0.07540963],"study_design_scores_gemma":[0.00016503491,0.00007359528,0.7211727,0.0002150963,0.00015410168,0.00018533654,0.0003840316,0.020911708,0.0040791603,0.00078486576,0.25177225,0.00010202258],"about_ca_topic_score_codex":0.06175813,"about_ca_topic_score_gemma":0.08090577,"teacher_disagreement_score":0.06175813,"about_ca_system_score_codex":0.00071694196,"about_ca_system_score_gemma":0.0014646093,"threshold_uncertainty_score":0.12279731},"labels":[],"label_agreement":null},{"id":"W4417115215","doi":"10.5194/essd-17-6889-2025","title":"Global inventory of doubly substituted isotopologues of methane (Δ <sup>13</sup> CH <sub>3</sub> D and Δ <sup>12</sup> CH <sub>2</sub> D <sub>2</sub> )","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University; University of Toronto; Geological Survey of Canada","funders":"Natural Environment Research Council; European Association of National Metrology Institutes","keywords":"Isotopologue; Methanogenesis; Methane; Atmospheric methane; Isotope; Anaerobic oxidation of methane; Atmospheric chemistry; Stable isotope ratio","score_opus":0.01426491214227346,"score_gpt":0.23150954577839078,"score_spread":0.21724463363611732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417115215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7124832,0.058466177,0.0046810326,0.00041522383,0.00010915278,0.000051293475,0.21382275,0.00045237265,0.009518683],"genre_scores_gemma":[0.74650985,0.035680264,0.0075060385,0.00019389024,0.00008722681,0.00007464592,0.20713696,0.00023483664,0.0025764105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969554,0.000031128773,0.00004196952,0.000115055234,0.00007754919,0.00003879951],"domain_scores_gemma":[0.99931085,0.00010790152,0.00021536193,0.00006686933,0.0002546981,0.000044288437],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006985402,0.0004659245,0.00050932326,0.0061122514,0.00023590222,0.0009904942,0.0003541773,0.00040732336,0.0016671187],"category_scores_gemma":[0.0008040438,0.0002742556,0.00055673457,0.009793124,0.00036767192,0.0016702914,0.0010223044,0.00024003905,0.0013792024],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089590426,0.000082823746,0.55362004,0.010363653,0.0019682199,0.0010700199,0.0013945407,0.0032231463,0.060823165,0.0033574775,0.01485007,0.34835106],"study_design_scores_gemma":[0.000013790043,0.00009237079,0.85965246,0.0008513635,0.0007862045,0.000634787,0.0010790515,0.0016557074,0.010712145,0.0007185675,0.12373119,0.000072376315],"about_ca_topic_score_codex":0.009000387,"about_ca_topic_score_gemma":0.0074620205,"teacher_disagreement_score":0.009000387,"about_ca_system_score_codex":0.00029693614,"about_ca_system_score_gemma":0.0005610356,"threshold_uncertainty_score":0.017895997},"labels":[],"label_agreement":null},{"id":"W4417416004","doi":"10.5194/essd-17-7227-2025","title":"Insights into the North Hemisphere daily snowpack at high resolution from the new Crocus–ERA5 product","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Cryospheric studies and observations","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":"","keywords":"Snowpack; Snow; Northern Hemisphere; Cryosphere; Arctic; Snow cover; Climate change; Satellite","score_opus":0.026448550009356565,"score_gpt":0.22769503604567282,"score_spread":0.20124648603631626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417416004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8218305,0.0043759365,0.025620047,0.0022589476,0.0005767586,0.00019222837,0.093680725,0.0036840767,0.047780756],"genre_scores_gemma":[0.87361556,0.0010917354,0.030960847,0.00025494007,0.00017569512,0.00007043932,0.090203755,0.0008846027,0.0027425373],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997757,0.000029284754,0.000015213594,0.000056574543,0.0000963744,0.000026804375],"domain_scores_gemma":[0.9995896,0.000041446747,0.000042661228,0.000050770774,0.00025063238,0.000024936004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077637326,0.00036582747,0.00021295557,0.0012061421,0.00023939385,0.001091942,0.0003886848,0.00036689322,0.00248774],"category_scores_gemma":[0.0012162953,0.00020458238,0.00039362058,0.00162437,0.00021696318,0.000991881,0.00044343085,0.0004037349,0.00088725233],"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":[0.00094756053,0.00021544617,0.42503858,0.0012911358,0.00093772094,0.00092669355,0.0012753685,0.08449157,0.033159554,0.008473166,0.107676566,0.3355667],"study_design_scores_gemma":[0.00008696964,0.00006050535,0.717667,0.0003043684,0.00014504736,0.00019746298,0.00050359353,0.10928599,0.005479337,0.0019181488,0.16425993,0.00009171959],"about_ca_topic_score_codex":0.099511266,"about_ca_topic_score_gemma":0.1416688,"teacher_disagreement_score":0.099511266,"about_ca_system_score_codex":0.00065823586,"about_ca_system_score_gemma":0.0007332667,"threshold_uncertainty_score":0.19786412},"labels":[],"label_agreement":null},{"id":"W4417483619","doi":"10.5194/essd-17-7313-2025","title":"Peat-DBase v.1: a compiled database of global peat depth measurements","year":2025,"lang":"en","type":"article","venue":"Earth system science data","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; University of Victoria; Université du Québec à Trois-Rivières; Victoria General Hospital; University of Waterloo; Environment and Climate Change Canada","funders":"Natural Environment Research Council; European Commission","keywords":"Peat; Boreal; Amazon rainforest; Temperate climate; Climate change; Global change; Hydrology (agriculture)","score_opus":0.04610388983670676,"score_gpt":0.2944277185304257,"score_spread":0.24832382869371894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417483619","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":[0.021756204,0.00040391862,0.003934624,0.000056170687,0.00004256016,0.00010653378,0.9674672,0.003443764,0.0027889821],"genre_scores_gemma":[0.027006278,0.00026861305,0.012222237,0.000050176888,0.00002291655,0.00036534126,0.9584603,0.0009038178,0.0007003295],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986286,0.00017492176,0.00033758782,0.0003959956,0.00034393114,0.00011895682],"domain_scores_gemma":[0.9954888,0.0007581281,0.0010891515,0.0008149736,0.0015358136,0.00031301222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015390699,0.0011800341,0.00079047517,0.0056147417,0.0003215276,0.0011662412,0.0010122774,0.00068566453,0.0046972195],"category_scores_gemma":[0.0057232985,0.00054396613,0.0006885382,0.007053669,0.00023575674,0.0014211979,0.0017769319,0.00067482784,0.0063173003],"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":[0.0006532869,0.00022503667,0.28991577,0.006039335,0.0007426583,0.00067688484,0.0016618321,0.0100529175,0.012339978,0.0030303851,0.5297535,0.14490844],"study_design_scores_gemma":[0.00014054019,0.00007743696,0.36640948,0.0010838154,0.00020852641,0.00029908682,0.0007592276,0.00551716,0.0076934025,0.0017493687,0.6158513,0.00021062781],"about_ca_topic_score_codex":0.018510478,"about_ca_topic_score_gemma":0.026878903,"teacher_disagreement_score":0.018510478,"about_ca_system_score_codex":0.00055788463,"about_ca_system_score_gemma":0.0019242568,"threshold_uncertainty_score":0.03680551},"labels":[],"label_agreement":null}]}