{"meta":{"query_hash":"26a401075884","filters":{"venue":"AGU Advances"},"cohort_total":34,"direct_labels_cover":0,"predictions_cover":34,"exported":34,"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/26a401075884","api":"https://metacan.xera.ac/api/v1/cohort?venue=AGU+Advances"},"results":[{"id":"W2967006472","doi":"10.1029/2019av000105","title":"<i>AGU Advances</i> Goes Online","year":2019,"lang":"en","type":"article","venue":"AGU Advances","topic":"Artificial Intelligence Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Context (archaeology); Library science; Political science; Computer science; History; Archaeology","score_opus":0.016837867986679283,"score_gpt":0.3053307976458011,"score_spread":0.2884929296591218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967006472","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00024877183,0.006336236,0.0009520197,0.16009487,0.6097667,0.0001711366,0.003141641,0.0024844618,0.2168041],"genre_scores_gemma":[0.0057289805,0.006632099,0.0014239597,0.09547641,0.28064653,0.00023094057,0.003748775,0.0029853256,0.60312694],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99407285,0.0005267468,0.0004142515,0.0005583897,0.0037127135,0.00071503944],"domain_scores_gemma":[0.9484369,0.011962017,0.004035633,0.002990152,0.025358064,0.007217143],"candidate_categories":["scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005875323,0.00080784416,0.0014460903,0.0037470632,0.002880314,0.014150272,0.0023915626,0.009385644,0.46688527],"category_scores_gemma":[0.05937956,0.00058771746,0.001003141,0.0026046839,0.001936477,0.0051048556,0.0033246786,0.0067879837,0.32001832],"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":[0.000010744087,0.000004301823,0.000016879592,0.00009702564,0.0000016153806,0.000019011331,0.000008741172,0.0000064125898,0.000057579553,0.0011041946,0.9928081,0.005865371],"study_design_scores_gemma":[0.0000071332342,0.000009167767,0.000121136974,0.00019225884,0.000003255099,0.00003062638,0.0000320491,0.000024087552,0.00011102889,0.0011941621,0.9982663,0.000008949009],"about_ca_topic_score_codex":0.0015155171,"about_ca_topic_score_gemma":0.0028743683,"teacher_disagreement_score":0.98584974,"about_ca_system_score_codex":0.0023727086,"about_ca_system_score_gemma":0.006371252,"threshold_uncertainty_score":0.7604234},"labels":[],"label_agreement":null},{"id":"W3019718521","doi":"10.1029/2019av000141","title":"The Pace of Fluvial Meanders on Mars and Implications for the Western Delta Deposits of Jezero Crater","year":2020,"lang":"en","type":"article","venue":"AGU Advances","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","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":"Laurentian University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Martian; Mars Exploration Program; Impact crater; Fluvial; Noachian; Geology; Delta; Earth science; Astrobiology; Martian surface; Paleontology; Physical geography; Geography; Structural basin","score_opus":0.023074874886766603,"score_gpt":0.26002577704019997,"score_spread":0.23695090215343337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3019718521","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99909437,0.00017712635,0.00014207468,0.000067471534,0.0000032874298,0.0000016680042,0.00015049933,0.000010493803,0.00035285513],"genre_scores_gemma":[0.99965644,0.00006171061,0.00012458852,0.00000976536,0.0000023843313,0.000001026033,0.000073003524,0.0000022643933,0.00006891522],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999194,0.000010617719,0.0000064438673,0.000033601875,0.000012156523,0.000017822571],"domain_scores_gemma":[0.999635,0.000065724416,0.0001229601,0.000034067994,0.00006845608,0.00007378876],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032475524,0.00023651864,0.00018262223,0.0011905726,0.0005935752,0.0008354254,0.00030861687,0.000372855,0.0011415835],"category_scores_gemma":[0.00072311884,0.00013453286,0.00031809203,0.00052640605,0.00042135053,0.00034653596,0.00057747634,0.00021066942,0.00011810691],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045655062,0.000007473753,0.9928088,0.000018224418,0.000039066337,0.0001110205,0.00022098189,0.001355017,0.0019560049,0.00010736294,0.00009559191,0.003234772],"study_design_scores_gemma":[0.0000031537975,0.000017479999,0.99580437,0.000014194262,0.000014147933,0.000066287364,0.00043909522,0.0028760985,0.00019243584,0.000078295176,0.00048951665,0.000004854474],"about_ca_topic_score_codex":0.045960877,"about_ca_topic_score_gemma":0.0819755,"teacher_disagreement_score":0.045960877,"about_ca_system_score_codex":0.0007159208,"about_ca_system_score_gemma":0.00038732268,"threshold_uncertainty_score":0.091386676},"labels":[],"label_agreement":null},{"id":"W3127125962","doi":"10.1029/2020av000364","title":"There Are Several Pathways to Net‐Zero CO<sub>2</sub> Emissions and It's Past Time to Get Moving","year":2021,"lang":"en","type":"article","venue":"AGU Advances","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Damages; Greenhouse gas; Climate change; Global warming; Global temperature; Natural resource economics; United Nations Framework Convention on Climate Change; Environmental science; Geography; Climatology; Economics; Political science; Kyoto Protocol","score_opus":0.005497821120848256,"score_gpt":0.2006245892539054,"score_spread":0.19512676813305713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127125962","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":[0.08211772,0.08457097,0.07252245,0.2819113,0.0074762357,0.00031900062,0.0058559855,0.0026230868,0.4626032],"genre_scores_gemma":[0.7420492,0.0806699,0.07099667,0.029746646,0.0010609224,0.0007313264,0.0037803233,0.0010467549,0.069918275],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998949,0.0001741842,0.00004795336,0.00023781495,0.00032666736,0.00026439296],"domain_scores_gemma":[0.99887294,0.00019060721,0.00018663712,0.00010417981,0.00042693684,0.00021878873],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016697119,0.0012528141,0.0004544935,0.0013553695,0.00332206,0.007410835,0.0016080376,0.0026372783,0.029127635],"category_scores_gemma":[0.0024096877,0.00045138074,0.0012394015,0.0015445087,0.002682599,0.010168083,0.0030857245,0.0043070824,0.00445861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006529256,0.00033222142,0.024481444,0.0027498715,0.00039316452,0.0009875016,0.0015419247,0.009608458,0.0046137096,0.44344994,0.145017,0.36617172],"study_design_scores_gemma":[0.000042091408,0.00018979442,0.011215672,0.0010878824,0.00012318374,0.00038942762,0.003667796,0.002040521,0.0051560113,0.18269062,0.79318905,0.00020790359],"about_ca_topic_score_codex":0.019173048,"about_ca_topic_score_gemma":0.026952205,"teacher_disagreement_score":0.029127635,"about_ca_system_score_codex":0.0037537909,"about_ca_system_score_gemma":0.004992537,"threshold_uncertainty_score":0.09744161},"labels":[],"label_agreement":null},{"id":"W3148921054","doi":"10.1029/2020av000354","title":"Science Storms the Cloud","year":2021,"lang":"en","type":"article","venue":"AGU Advances","topic":"Scientific Computing and Data Management","field":"Decision Sciences","cited_by":40,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for the Mathematical Sciences; University of British Columbia","funders":"","keywords":"Cloud computing; Computer science; Petabyte; Data science; The Internet; World Wide Web; Software; Transparency (behavior); Big data; Data mining; Computer security","score_opus":0.10510951152915031,"score_gpt":0.41687359240390043,"score_spread":0.3117640808747501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3148921054","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011021576,0.021935655,0.007206386,0.8215179,0.017169405,0.00007859757,0.0024749332,0.0010363557,0.117559195],"genre_scores_gemma":[0.40677908,0.08022878,0.015145575,0.3433533,0.036866132,0.00033150802,0.005482064,0.0014831367,0.11033038],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963767,0.00080072973,0.00015160708,0.00040382583,0.0015260224,0.0007411637],"domain_scores_gemma":[0.9901174,0.002938121,0.00073115324,0.001200817,0.00258125,0.0024312395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0051566917,0.00040523562,0.0007457361,0.001068552,0.0047321515,0.01131703,0.0016575198,0.0031484643,0.034770966],"category_scores_gemma":[0.014278861,0.00032486516,0.0005580771,0.0025466103,0.0034169853,0.010935868,0.005247004,0.007909551,0.00892841],"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":[0.00009248926,0.000044581502,0.0015417334,0.00016277854,0.000026159521,0.00027188798,0.00031008502,0.00076353474,0.0003199404,0.16674508,0.7762825,0.053439308],"study_design_scores_gemma":[0.000035297966,0.000020816287,0.00064128375,0.00022078089,0.000008062954,0.00014264858,0.0007106201,0.0012198518,0.0001887121,0.10122081,0.8955696,0.000021465765],"about_ca_topic_score_codex":0.011111943,"about_ca_topic_score_gemma":0.011991856,"teacher_disagreement_score":0.034770966,"about_ca_system_score_codex":0.005516908,"about_ca_system_score_gemma":0.009368914,"threshold_uncertainty_score":0.11632049},"labels":[],"label_agreement":null},{"id":"W3164484349","doi":"10.1029/2020av000304","title":"Slab Transport of Fluids to Deep Focus Earthquake Depths—Thermal Modeling Constraints and Evidence From Diamonds","year":2021,"lang":"en","type":"article","venue":"AGU Advances","topic":"High-pressure geophysics and materials","field":"Earth and Planetary Sciences","cited_by":73,"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":"Carnegie Institution for Science; University of Alberta; National Science Foundation","keywords":"Geology; Subduction; Mantle (geology); Transition zone; Slab; Deep-focus earthquake; Geophysics; Seismology; Tectonics; Petrology","score_opus":0.014690556903699442,"score_gpt":0.22495975822937514,"score_spread":0.2102692013256757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164484349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99652916,0.0000299867,0.0025166469,0.000020551988,7.711903e-7,0.0000024826238,0.000121014324,0.00005260973,0.00072688545],"genre_scores_gemma":[0.999253,0.00001324941,0.000594931,0.0000016584625,5.220769e-7,0.000001261918,0.000060326332,0.000005792336,0.00006932429],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99996185,0.000006488925,0.000002307796,0.0000127906005,0.000009435047,0.0000071509266],"domain_scores_gemma":[0.9998431,0.000041997257,0.00003827192,0.000027259315,0.000029660283,0.00001965723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012661419,0.00017395965,0.00016036407,0.00027504485,0.00012223158,0.0002832675,0.00039238425,0.00020805065,0.0009665365],"category_scores_gemma":[0.00045283206,0.00018201067,0.00016850937,0.0002282987,0.00019121676,0.00022948658,0.00026150054,0.00017526395,0.000108443666],"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":[0.0004926345,0.000108155116,0.51542825,0.00008836713,0.000106055726,0.00020334385,0.00037474692,0.3588076,0.10362743,0.003235063,0.00026943962,0.017258896],"study_design_scores_gemma":[0.000035284906,0.000108460175,0.26570198,0.000008006811,0.000029904191,0.00008182585,0.00018506034,0.72008,0.011070109,0.0020161588,0.0006666065,0.000016585685],"about_ca_topic_score_codex":0.0128783975,"about_ca_topic_score_gemma":0.01054626,"teacher_disagreement_score":0.0128783975,"about_ca_system_score_codex":0.0005101694,"about_ca_system_score_gemma":0.0002488552,"threshold_uncertainty_score":0.02560687},"labels":[],"label_agreement":null},{"id":"W3204537598","doi":"10.1029/2021av000456","title":"Seasonality and Life History Complexity Determine Vulnerability of Dungeness Crab to Multiple Climate Stressors","year":2021,"lang":"en","type":"article","venue":"AGU Advances","topic":"Ocean Acidification Effects and Responses","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"NOAA Research; National Oceanic and Atmospheric Administration; University of Connecticut","keywords":"Vulnerability (computing); Pelagic zone; Climate change; Population; Ecology; Geography; Biology; Fishery; Demography","score_opus":0.04811932816169916,"score_gpt":0.26619351605805286,"score_spread":0.2180741878963537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204537598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99946576,0.000031908334,0.00010094817,0.00001772357,8.570023e-7,0.000001494117,0.00012958799,0.0000033212289,0.00024842995],"genre_scores_gemma":[0.99966025,0.000018893363,0.00006211614,0.000008892496,7.02961e-7,0.0000026326206,0.00008036019,0.0000013681347,0.00016471505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993014,0.00001435864,0.0000036600654,0.000020040008,0.000009458234,0.000022328566],"domain_scores_gemma":[0.999645,0.00007759654,0.00010906131,0.000032320007,0.000048565526,0.00008743963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020480389,0.00019684895,0.00019022025,0.00043240015,0.00036172936,0.0006413638,0.00019734152,0.0002046817,0.0017774844],"category_scores_gemma":[0.00072459027,0.00014497362,0.00022316557,0.0002777181,0.0002656841,0.0002985243,0.00060729287,0.00020389944,0.00012142778],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010323822,0.00003327142,0.97290075,0.00002178562,0.000084478954,0.00010874791,0.00023961454,0.0041423757,0.018389037,0.00016497562,0.00017939317,0.0036322842],"study_design_scores_gemma":[9.29539e-7,0.000035515608,0.99493694,0.000003112825,0.000009813849,0.000050425217,0.00023596542,0.0040508993,0.0003638144,0.00010646653,0.00020114075,0.00000494654],"about_ca_topic_score_codex":0.028831812,"about_ca_topic_score_gemma":0.07662216,"teacher_disagreement_score":0.028831812,"about_ca_system_score_codex":0.00092301087,"about_ca_system_score_gemma":0.0004122963,"threshold_uncertainty_score":0.057327986},"labels":[],"label_agreement":null},{"id":"W3213446090","doi":"10.1029/2021av000515","title":"Opposing Effects of Climate and Permafrost Thaw on CH<sub>4</sub> and CO<sub>2</sub> Emissions From Northern Lakes","year":2021,"lang":"en","type":"article","venue":"AGU Advances","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Centros de Pesquisa, Inovação e Difusão, Fundação Amazônia Paraense de Amparo à Pesquisa; Directorate for Biological Sciences; Vetenskapsrådet; W. Garfield Weston Foundation; Svenska Forskningsrådet Formas; Alberta Innovates; Fundação de Amparo à Pesquisa do Estado de São Paulo; Horizon 2020 Framework Programme; University of Alberta","keywords":"Permafrost; Peat; Environmental science; Greenhouse gas; Radiative forcing; Transect; Boreal; Climate change; Carbon dioxide; Sink (geography); Methane; Wetland; Global warming; Atmospheric sciences; Physical geography; Ecology; Oceanography; Geology; Geography","score_opus":0.013371762338040905,"score_gpt":0.23335399269822016,"score_spread":0.21998223036017925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3213446090","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996309,0.000018641404,0.000017365925,0.000006724737,4.049398e-7,7.5088036e-7,0.00009218783,0.0000020917528,0.0002309445],"genre_scores_gemma":[0.9997241,0.000016982494,0.00003966779,0.000009043513,5.1481493e-7,0.000001310544,0.000089034205,0.0000011419796,0.00011827219],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999579,0.000005081067,0.0000014768765,0.000009880152,0.000008728538,0.000016929767],"domain_scores_gemma":[0.99986196,0.000020361875,0.000033290526,0.00000502711,0.000042988675,0.000036358728],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009661118,0.00011888871,0.00013314652,0.00019692328,0.00044087894,0.00036022672,0.00013731954,0.00012991854,0.00060863805],"category_scores_gemma":[0.00018917154,0.0000898951,0.000101791906,0.00019086321,0.00032837663,0.0001490501,0.00022728357,0.00010741398,0.000050152474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004151242,0.000027323675,0.92756075,0.000025646146,0.000059685397,0.00011195603,0.0006338055,0.0007514226,0.0655769,0.000085841464,0.00017237847,0.0045790826],"study_design_scores_gemma":[0.0000012133967,0.000007206577,0.9988512,9.828692e-7,0.0000047385906,0.000008711662,0.00015441277,0.00022057604,0.0006521976,0.0000092116225,0.00008835668,0.000001248116],"about_ca_topic_score_codex":0.3291152,"about_ca_topic_score_gemma":0.60800374,"teacher_disagreement_score":0.3291152,"about_ca_system_score_codex":0.0014808931,"about_ca_system_score_gemma":0.0007954945,"threshold_uncertainty_score":0.6543991},"labels":[],"label_agreement":null},{"id":"W4200064459","doi":"10.1029/2021av000534","title":"Evidence for Deposition of Chloride on Mars From Small‐Volume Surface Water Events Into the Late Hesperian‐Early Amazonian","year":2021,"lang":"en","type":"article","venue":"AGU Advances","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Aeronautics and Space Administration","keywords":"Hesperian; Geology; Impact crater; Amazonian; Mars Exploration Program; Noachian; Geochemistry; Landform; Volcano; Lava; Geomorphology; Carbonate; Mineralogy; Martian; Astrobiology; Chemistry","score_opus":0.02583498746381827,"score_gpt":0.2530375753661176,"score_spread":0.22720258790229933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200064459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850404,0.00009313578,0.00010905938,0.000058396326,0.000002830663,0.000002830361,0.000129438,0.00000988697,0.0010902934],"genre_scores_gemma":[0.99968123,0.00003502353,0.00008486051,0.000011222231,0.000004085856,0.0000017794016,0.00007020125,0.0000026965065,0.000108895016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999275,0.000010490322,0.0000052240466,0.000021175074,0.000017382063,0.000018113311],"domain_scores_gemma":[0.99972254,0.00004106798,0.00010567584,0.000015118084,0.000076666285,0.000038959814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018102654,0.00013701923,0.00012347037,0.0008302966,0.00037489584,0.00048408294,0.00024090985,0.00019631663,0.0014869466],"category_scores_gemma":[0.00049922155,0.00012483941,0.00011110082,0.0005345298,0.0005279472,0.0003461033,0.00051400624,0.00015827676,0.00012536836],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016231085,0.000016591188,0.9586202,0.00005102966,0.000043754295,0.0006156423,0.0023445329,0.00013677751,0.027108757,0.00019992469,0.0002674237,0.010433157],"study_design_scores_gemma":[0.0000027979713,0.00001534093,0.9980312,0.0000045207707,0.000005011267,0.000076175034,0.00049150555,0.00010398774,0.00049905386,0.000021536827,0.00074685755,0.0000020971631],"about_ca_topic_score_codex":0.016581666,"about_ca_topic_score_gemma":0.028023344,"teacher_disagreement_score":0.016581666,"about_ca_system_score_codex":0.00032518772,"about_ca_system_score_gemma":0.00019087885,"threshold_uncertainty_score":0.03297025},"labels":[],"label_agreement":null},{"id":"W4225426807","doi":"10.1029/2021av000542","title":"Impact of the COVID‐19 Economic Downturn on Tropospheric Ozone Trends: An Uncertainty Weighted Data Synthesis for Quantifying Regional Anomalies Above Western North America and Europe","year":2022,"lang":"en","type":"article","venue":"AGU Advances","topic":"COVID-19 impact on air quality","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Coronavirus disease 2019 (COVID-19); Recession; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Tropospheric ozone; Geography; Climatology; Ozone; Environmental science; Meteorology; Economics; Outbreak; Medicine; Virology; Macroeconomics; Geology","score_opus":0.08705513656749317,"score_gpt":0.36687886570849787,"score_spread":0.27982372914100473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225426807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89180905,0.0052908068,0.07532861,0.00082155794,0.00009616424,0.00016667078,0.023320993,0.00019133829,0.002974795],"genre_scores_gemma":[0.9642304,0.0011405903,0.02175243,0.00009276573,0.00006831269,0.0001471291,0.01219124,0.000024691295,0.00035244942],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983943,0.00061399414,0.00021987988,0.00038885034,0.00032392915,0.000058990983],"domain_scores_gemma":[0.99511224,0.002449129,0.0010229038,0.0004773605,0.00086188084,0.00007654729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0047570616,0.00064948463,0.00059831544,0.0034471226,0.00023700511,0.0016440762,0.000476248,0.0004610399,0.00057680276],"category_scores_gemma":[0.010743988,0.00027417796,0.0010622112,0.0033496355,0.0002773199,0.0011630733,0.0011226791,0.00040123254,0.000074690004],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004389761,0.000108909415,0.63946205,0.001039262,0.003181557,0.00028446928,0.00046055138,0.20020938,0.004993651,0.009469468,0.002689524,0.1376622],"study_design_scores_gemma":[0.00004396335,0.00036484713,0.6154496,0.00046580625,0.0017052499,0.00009383732,0.0011734784,0.352099,0.005252792,0.0074368976,0.015804665,0.000109775065],"about_ca_topic_score_codex":0.015922656,"about_ca_topic_score_gemma":0.014005181,"teacher_disagreement_score":0.015922656,"about_ca_system_score_codex":0.00065138866,"about_ca_system_score_gemma":0.0007189284,"threshold_uncertainty_score":0.03165996},"labels":[],"label_agreement":null},{"id":"W4283813462","doi":"10.1029/2021av000630","title":"The Microwave Snow Grain Size: A New Concept to Predict Satellite Observations Over Snow‐Covered Regions","year":2022,"lang":"en","type":"article","venue":"AGU Advances","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Makivik Corporation","funders":"Agence Nationale de la Recherche","keywords":"Snow; Satellite; Microwave; Grain size; Scattering; Remote sensing; Environmental science; Atmospheric sciences; Meteorology; Geology; Optics; Physics; Geomorphology","score_opus":0.02301140229565009,"score_gpt":0.23297828989760824,"score_spread":0.20996688760195814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283813462","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9009395,0.00013630661,0.09553373,0.000054411605,0.0000108657805,0.000035865578,0.0010535726,0.0005267293,0.0017090988],"genre_scores_gemma":[0.9824702,0.00004512443,0.016780805,0.000009279011,0.000006924175,0.000018356925,0.0004118031,0.00003255123,0.00022496127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999325,0.000007195785,0.0000040595787,0.000019288385,0.000027027114,0.000009840689],"domain_scores_gemma":[0.99984396,0.00004340082,0.00004178994,0.000023133862,0.000036484613,0.000011129681],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015913724,0.00031074794,0.00018131295,0.00076854776,0.00014768235,0.00036951195,0.00032901682,0.00016017166,0.00053070753],"category_scores_gemma":[0.0005619397,0.00015932687,0.0003030309,0.00060399366,0.00022224784,0.00035563335,0.00018806155,0.00018873697,0.00015333532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020608975,0.00009285212,0.28204244,0.00008612669,0.00018121782,0.000072967734,0.00011309961,0.52934974,0.09794487,0.0015666421,0.0008786825,0.087465234],"study_design_scores_gemma":[0.000021221129,0.000031219468,0.1982263,0.000009363285,0.000026427002,0.00003414186,0.000050602146,0.78874505,0.011230604,0.00059207284,0.0010084257,0.000024545114],"about_ca_topic_score_codex":0.03796428,"about_ca_topic_score_gemma":0.042647872,"teacher_disagreement_score":0.03796428,"about_ca_system_score_codex":0.00055045314,"about_ca_system_score_gemma":0.00045455917,"threshold_uncertainty_score":0.0754866},"labels":[],"label_agreement":null},{"id":"W4309551092","doi":"10.1029/2021av000640","title":"The 2021 “Complex Systems” Nobel Prize: The Climate, With and Without Geocomplexity","year":2022,"lang":"en","type":"article","venue":"AGU Advances","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","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":"","keywords":"General Circulation Model; Climate science; Climate model; Meteorology; Climate change; Climatology; Physics; Geology; Oceanography","score_opus":0.02463525556628327,"score_gpt":0.21886192518027853,"score_spread":0.19422666961399526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309551092","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011437154,0.108286396,0.01934389,0.6703249,0.12229747,0.000023412984,0.0010698034,0.00023304763,0.06698396],"genre_scores_gemma":[0.48659253,0.09782071,0.015594286,0.0719145,0.16982074,0.00014383062,0.0015415557,0.0006826246,0.15588923],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987539,0.0004738631,0.00004178349,0.0002129622,0.00031523188,0.00020215921],"domain_scores_gemma":[0.99608517,0.0015016478,0.00018626414,0.00027389475,0.00087134354,0.00108165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044653285,0.001070772,0.0009393391,0.0012034815,0.0014595169,0.0061500007,0.0005709172,0.003293853,0.0113869365],"category_scores_gemma":[0.0066973288,0.00026086977,0.0005730691,0.0011331085,0.0039102556,0.004217935,0.0026799594,0.005660276,0.0036652666],"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":[0.00011762277,0.000024095332,0.0004247688,0.0001239278,0.000038262744,0.00006488806,0.00008287152,0.0015057194,0.00024192905,0.33739275,0.61734027,0.04264285],"study_design_scores_gemma":[0.000028789487,0.00005076336,0.0013299353,0.00033533672,0.000023458784,0.00011763257,0.00015707297,0.0042661796,0.0002653306,0.49446166,0.49891922,0.000044562228],"about_ca_topic_score_codex":0.0016709857,"about_ca_topic_score_gemma":0.0013281616,"teacher_disagreement_score":0.0113869365,"about_ca_system_score_codex":0.0033750595,"about_ca_system_score_gemma":0.002052915,"threshold_uncertainty_score":0.03809309},"labels":[],"label_agreement":null},{"id":"W4385367566","doi":"10.1029/2023av000894","title":"Pillars of Cloud‐Based Earth Observation Science Education","year":2023,"lang":"en","type":"article","venue":"AGU Advances","topic":"Remote Sensing in Agriculture","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":"Ste. Anne's Hospital; Natural Resources Canada; McGill University; Canadian Forest Service","funders":"Pacific Northwest National Laboratory; Battelle; U.S. Department of Energy","keywords":"Cloud computing; Leverage (statistics); Paradigm shift; Earth observation; Data science; Computer science; Diversity (politics); Knowledge management; Earth science; World Wide Web; Multimedia; Engineering; Political science; Geology; Aerospace engineering","score_opus":0.01161234161153458,"score_gpt":0.2554307927553136,"score_spread":0.24381845114377904,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385367566","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.05249658,0.02099839,0.027024392,0.70349866,0.003361481,0.00043923352,0.00028037265,0.00023864619,0.19166224],"genre_scores_gemma":[0.8579253,0.026117971,0.041803464,0.046539,0.00277466,0.00060840556,0.00022521958,0.00015582677,0.023850206],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9886779,0.004514417,0.0006708943,0.00089274964,0.0037623462,0.0014817266],"domain_scores_gemma":[0.96511114,0.013444449,0.003694298,0.0027716712,0.0059984513,0.008980043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.022568343,0.000533021,0.0005690926,0.0034037041,0.005353456,0.012597333,0.0018889181,0.0039898083,0.006483949],"category_scores_gemma":[0.017015854,0.00044171963,0.00030839274,0.0024218997,0.012913973,0.0072124335,0.018904226,0.012307057,0.0015247319],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049531754,0.0005814745,0.008569424,0.00051034783,0.000020229954,0.00016760868,0.009270874,0.0007625904,0.0006802305,0.71355474,0.03458616,0.2312468],"study_design_scores_gemma":[0.000032589614,0.00019896847,0.01120445,0.0036579624,0.000022798482,0.00014074949,0.013705104,0.0019288253,0.0016043122,0.39472902,0.572708,0.00006722038],"about_ca_topic_score_codex":0.007707767,"about_ca_topic_score_gemma":0.008877365,"teacher_disagreement_score":0.022568343,"about_ca_system_score_codex":0.0071678464,"about_ca_system_score_gemma":0.028494786,"threshold_uncertainty_score":0.11935425},"labels":[],"label_agreement":null},{"id":"W4386483280","doi":"10.1029/2023av000956","title":"Upscaling Wetland Methane Emissions From the FLUXNET‐CH4 Eddy Covariance Network (UpCH4 v1.0): Model Development, Network Assessment, and Budget Comparison","year":2023,"lang":"en","type":"article","venue":"AGU Advances","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; University of Alberta; Dalhousie University; Environment and Climate Change Canada; University of British Columbia","funders":"Gordon and Betty Moore Foundation; National Aeronautics and Space Administration","keywords":"Eddy covariance; Environmental science; Wetland; Atmospheric sciences; FluxNet; Flux (metallurgy); Climatology; Ecosystem; Ecology; Geology","score_opus":0.017673405550947555,"score_gpt":0.27885853155667983,"score_spread":0.2611851260057323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386483280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96716434,0.00008266111,0.029431483,0.00012354467,0.000045432902,0.00010880913,0.00090696034,0.00075510144,0.001381533],"genre_scores_gemma":[0.9770204,0.0000354885,0.021113934,0.000033249144,0.000010454477,0.00008579914,0.0011711235,0.00007372994,0.00045591983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997656,0.000101362646,0.000012855109,0.00005512821,0.00003390176,0.000031215208],"domain_scores_gemma":[0.99910456,0.000447253,0.000060108123,0.00009814763,0.00023992309,0.000050026374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021518746,0.0009261466,0.00037627542,0.00049213896,0.0004292985,0.00039871805,0.0011724628,0.0005477995,0.0009898626],"category_scores_gemma":[0.0024165693,0.0005041252,0.0008264289,0.00036786895,0.00027554066,0.00085880933,0.00053739315,0.0008649708,0.00013498684],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071603565,0.00007513191,0.011163794,0.000014908393,0.00006945372,0.00001709065,0.0000097772,0.98076516,0.00072779245,0.00016891757,0.00032829604,0.0065880152],"study_design_scores_gemma":[0.000014444571,0.0000185939,0.0012362215,0.0000015090567,0.00000802695,0.0000016217368,0.0000027025378,0.99806243,0.0005091724,0.00008069945,0.000060228893,0.0000043392106],"about_ca_topic_score_codex":0.08686844,"about_ca_topic_score_gemma":0.05623934,"teacher_disagreement_score":0.08686844,"about_ca_system_score_codex":0.0014632758,"about_ca_system_score_gemma":0.0011908199,"threshold_uncertainty_score":0.17272562},"labels":[],"label_agreement":null},{"id":"W4388022676","doi":"10.1029/2023av000990","title":"Modeling Denitrification: Can We Report What We Don't Know?","year":2023,"lang":"en","type":"article","venue":"AGU Advances","topic":"Wastewater Treatment and Nitrogen Removal","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":"McGill University","funders":"Horizon 2020 Framework Programme; Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft; Deutscher Akademischer Austauschdienst; European Commission","keywords":"Denitrification; Environmental science; Computer science; Chemistry","score_opus":0.022059953499627933,"score_gpt":0.2576434720523059,"score_spread":0.23558351855267798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388022676","genre_codex":"commentary","genre_gemma":"methods","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007034272,0.4342802,0.0155317085,0.50730175,0.02624835,0.00009553124,0.0010691765,0.0006228431,0.007816271],"genre_scores_gemma":[0.1584394,0.5991309,0.028272895,0.17574655,0.02933596,0.00037294606,0.0014975587,0.00064997247,0.006553755],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9896081,0.0051468527,0.0011823094,0.00090072263,0.0025750357,0.00058695796],"domain_scores_gemma":[0.89236534,0.05392018,0.006939038,0.0056269816,0.035885602,0.005262799],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.034811758,0.0017522983,0.0029728876,0.002755339,0.0015260254,0.009710384,0.0044197147,0.007915679,0.0084017515],"category_scores_gemma":[0.13083115,0.0008907206,0.001853609,0.0020173762,0.003989028,0.023858765,0.0042118244,0.008802888,0.0037580086],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079037104,0.0005577266,0.009667492,0.014235077,0.0013444729,0.00032623054,0.0009836083,0.010658791,0.0016582798,0.027514488,0.36810756,0.56415594],"study_design_scores_gemma":[0.00024927573,0.00068174937,0.0059614987,0.054166872,0.0011065125,0.0004938532,0.005787158,0.015767947,0.0035036155,0.29359588,0.6179813,0.00070430606],"about_ca_topic_score_codex":0.012290617,"about_ca_topic_score_gemma":0.009187887,"teacher_disagreement_score":0.96518826,"about_ca_system_score_codex":0.0030957153,"about_ca_system_score_gemma":0.0075298953,"threshold_uncertainty_score":0.18410432},"labels":[],"label_agreement":null},{"id":"W4395466849","doi":"10.1029/2023av001101","title":"An Extreme Auroral Electrojet Spike During 2023 April 24th Storm","year":2024,"lang":"en","type":"article","venue":"AGU Advances","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Nuclear Safety and Security Commission; National Aeronautics and Space Administration; National Science Foundation","keywords":"Electrojet; Solar wind; Geomagnetic storm; Space weather; Magnetosphere; Ionosphere; Earth's magnetic field; Physics; Geophysics; Atmospheric sciences; Storm; Space physics; Environmental science; Meteorology; Plasma; Magnetic field","score_opus":0.007348029350873352,"score_gpt":0.24365387266908944,"score_spread":0.23630584331821608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395466849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967307,0.00006118232,0.00029634844,0.00016900554,0.00006253533,0.000015072077,0.0004415145,0.00007214692,0.0021515598],"genre_scores_gemma":[0.99884254,0.000029668603,0.00014675118,0.000044589866,0.000059467984,0.0000073321157,0.00057279726,0.0000059237354,0.0002909605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999881,0.0000072825374,0.0000063046386,0.000018259509,0.000046219095,0.000040872357],"domain_scores_gemma":[0.9997011,0.000041363306,0.00005534695,0.000023216126,0.00006324425,0.00011576799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017308687,0.00022162696,0.00035091417,0.00034134518,0.0006943462,0.0006139038,0.00019870132,0.000659306,0.00087250845],"category_scores_gemma":[0.0004692023,0.00008002083,0.00018405008,0.00036281138,0.00023217933,0.0001975957,0.0006178321,0.0005981657,0.00021088828],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0021688202,0.00046189222,0.8318928,0.00015328627,0.00030443183,0.025702924,0.0019709093,0.0077536455,0.07900361,0.0010974733,0.01232303,0.037167236],"study_design_scores_gemma":[0.000039502833,0.0003345189,0.980232,0.000024461337,0.00003801353,0.0011305686,0.00082296826,0.0063564866,0.0037626366,0.0003710196,0.0068605617,0.00002727483],"about_ca_topic_score_codex":0.0057335705,"about_ca_topic_score_gemma":0.012786094,"teacher_disagreement_score":0.0057335705,"about_ca_system_score_codex":0.0004937711,"about_ca_system_score_gemma":0.000309335,"threshold_uncertainty_score":0.011400402},"labels":[],"label_agreement":null},{"id":"W4399081679","doi":"10.1029/2024av001298","title":"AGU Publications Updates Authorship Policy to Foster Greater Equity and Transparency in Global Research Collaborations","year":2024,"lang":"en","type":"article","venue":"AGU Advances","topic":"Polar Research and Ecology","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":"Trent University","funders":"University of Ghana; Battelle","keywords":"Transparency (behavior); Equity (law); Political science; Science policy; Public relations; Work (physics); Research policy; Public administration; Engineering","score_opus":0.11120127421790721,"score_gpt":0.4471802076422212,"score_spread":0.335978933424314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399081679","genre_codex":"commentary","genre_gemma":"editorial","domain_codex":null,"domain_gemma":"reporting","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":"reporting","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0126621425,0.0025928714,0.034324404,0.46654874,0.07411871,0.0053991457,0.0040031886,0.011412188,0.38893867],"genre_scores_gemma":[0.086304724,0.0024406186,0.15125465,0.27655956,0.03254542,0.010389397,0.0048578293,0.0072661485,0.4283816],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.692105,0.119466625,0.033321038,0.0125857955,0.1232264,0.019295229],"domain_scores_gemma":[0.24407001,0.3257316,0.047059014,0.11902428,0.21684442,0.04727072],"candidate_categories":["metaresearch","research_integrity"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.32065734,0.001450778,0.0025456112,0.009444361,0.012225181,0.038264364,0.009340196,0.050905928,0.046133574],"category_scores_gemma":[0.517147,0.0024304758,0.001783887,0.009237228,0.009646454,0.024533208,0.016041297,0.023127867,0.05345404],"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":[0.00015294015,0.0003621431,0.0023074758,0.00035031827,0.000023710196,0.00037494325,0.001691924,0.0005854838,0.0008032236,0.06643568,0.8550382,0.07187401],"study_design_scores_gemma":[0.000110734014,0.00010372531,0.0013654182,0.00067512406,0.000015016806,0.00014693143,0.00058773527,0.00071824074,0.0010523258,0.015928082,0.9791835,0.00011326242],"about_ca_topic_score_codex":0.006781885,"about_ca_topic_score_gemma":0.0072648097,"teacher_disagreement_score":0.94909406,"about_ca_system_score_codex":0.016808437,"about_ca_system_score_gemma":0.08541321,"threshold_uncertainty_score":0.83775043},"labels":[],"label_agreement":null},{"id":"W4401543826","doi":"10.1029/2023av001145","title":"Toward Low‐Latency Estimation of Atmospheric CO <sub>2</sub> Growth Rates Using Satellite Observations: Evaluating Sampling Errors of Satellite and In Situ Observing Approaches","year":2024,"lang":"en","type":"article","venue":"AGU Advances","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":"University of Toronto","funders":"California Institute of Technology; Jet Propulsion Laboratory; National Aeronautics and Space Administration","keywords":"Satellite; Environmental science; Sampling (signal processing); Growth rate; Atmosphere (unit); Meteorology; Remote sensing; Benchmark (surveying); Mean squared error; Atmospheric sciences; Climatology; Computer science; Statistics; Mathematics; Geodesy; Geography; Geology; Physics","score_opus":0.0716800175704532,"score_gpt":0.2905518330831061,"score_spread":0.21887181551265292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401543826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9436311,0.00038763264,0.05307355,0.00026830114,0.000053510597,0.00003667814,0.00057237415,0.00055353635,0.0014231874],"genre_scores_gemma":[0.97602355,0.0000965175,0.0229857,0.00005761565,0.000018644721,0.000020897634,0.0005423306,0.000044215907,0.00021056485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992824,0.0003335216,0.000043577955,0.00012843157,0.0001555217,0.000056434572],"domain_scores_gemma":[0.99353975,0.004209582,0.0007316968,0.00049752125,0.0008867368,0.00013465685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025939494,0.00077129545,0.0004552571,0.00049300166,0.00029654035,0.00085399195,0.00087428436,0.0009610028,0.00041760626],"category_scores_gemma":[0.0124411965,0.00041729628,0.00035623703,0.00074048486,0.00041656994,0.00089128764,0.00070883054,0.0005687908,0.0001330635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005108489,0.00016300748,0.08981063,0.00010672058,0.00025988795,0.00006536203,0.00008250519,0.87443066,0.007505488,0.0009347891,0.00054747524,0.025582707],"study_design_scores_gemma":[0.000019042052,0.000030554384,0.007741644,0.0000074878603,0.00001222548,0.000007367646,0.000021102853,0.9897509,0.002080975,0.0002115112,0.00010797403,0.000009230644],"about_ca_topic_score_codex":0.073455244,"about_ca_topic_score_gemma":0.051288,"teacher_disagreement_score":0.073455244,"about_ca_system_score_codex":0.0008593534,"about_ca_system_score_gemma":0.0012033994,"threshold_uncertainty_score":0.1460554},"labels":[],"label_agreement":null},{"id":"W4401579324","doi":"10.1029/2024av001241","title":"Astrobiological Potential of Rocks Acquired by the Perseverance Rover at a Sedimentary Fan Front in Jezero Crater, Mars","year":2024,"lang":"en","type":"article","venue":"AGU Advances","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; University of Winnipeg; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Jet Propulsion Laboratory; Centre National de la Recherche Scientifique; Ministerio de Economía y Competitividad; Swedish National Space Agency; Centre National d’Etudes Spatiales; Adolph C. and Mary Sprague Miller Institute for Basic Research in Science, University of California Berkeley; Agencia Estatal de Investigación; California Institute of Technology; National Aeronautics and Space Administration","keywords":"Mars Exploration Program; Impact crater; Geology; Sedimentary rock; Astrobiology; Front (military); Paleontology; Geomorphology; Oceanography; Physics","score_opus":0.005731691781640868,"score_gpt":0.216760414791408,"score_spread":0.21102872300976713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401579324","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984201,0.000056483615,0.000052980544,0.000012926633,0.0000020915038,0.000004122944,0.0005040236,0.000015899983,0.00093137816],"genre_scores_gemma":[0.9980178,0.000046680063,0.00043059606,0.0000127112,0.0000048816846,0.000004935518,0.00096012425,0.000009966987,0.0005124725],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998222,0.000017188957,0.00000817028,0.000056884313,0.00005350396,0.00004206508],"domain_scores_gemma":[0.9995449,0.000043251464,0.00008477058,0.000054072992,0.0001989888,0.000074020325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021126747,0.00037160024,0.00022645315,0.0024465083,0.00078996836,0.00052940025,0.00033265533,0.00033413235,0.0017068295],"category_scores_gemma":[0.0005521836,0.0001931929,0.00021604291,0.0010711291,0.00032992713,0.0003230713,0.0006520691,0.00021328861,0.00044163567],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002168622,0.0000364922,0.9655388,0.000026790722,0.00006370353,0.00051501207,0.0010591719,0.00028130427,0.017621461,0.000023782393,0.0004253989,0.014191172],"study_design_scores_gemma":[0.0000026572384,0.000028306653,0.99834335,0.0000038653075,0.00000851644,0.0001369094,0.0003484005,0.00013085632,0.00049379264,0.0000033047957,0.000497391,0.000002683474],"about_ca_topic_score_codex":0.038745206,"about_ca_topic_score_gemma":0.121103235,"teacher_disagreement_score":0.038745206,"about_ca_system_score_codex":0.0004122047,"about_ca_system_score_gemma":0.00021208668,"threshold_uncertainty_score":0.07703936},"labels":[],"label_agreement":null},{"id":"W4402228454","doi":"10.1029/2024av001327","title":"Boreal Forest Fire Causes Daytime Surface Warming During Summer to Exceed Surface Cooling During Winter in North America","year":2024,"lang":"en","type":"article","venue":"AGU Advances","topic":"Fire effects on ecosystems","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":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Daytime; Taiga; Environmental science; Boreal; Climatology; Atmospheric sciences; Physical geography; Meteorology; Geography; Geology; Forestry","score_opus":0.006755359157455372,"score_gpt":0.23418034303852725,"score_spread":0.22742498388107188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402228454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988152,0.00018897431,0.000089187706,0.00003565653,0.0000065164404,0.0000029280777,0.00038629514,0.000012842693,0.00046248583],"genre_scores_gemma":[0.9995466,0.00006876999,0.00008830376,0.000014241653,0.0000051684433,0.0000023535254,0.00021509147,0.0000012347823,0.0000582998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999126,0.000008334984,0.000005479901,0.000032626678,0.0000184089,0.000022592107],"domain_scores_gemma":[0.9997191,0.000028542407,0.00011569049,0.000017583361,0.000069063506,0.000049871593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022485714,0.00019350926,0.000121197816,0.00038404524,0.00042998308,0.0003792757,0.00019038572,0.00013539304,0.00057447096],"category_scores_gemma":[0.00030692763,0.00009135015,0.0002589357,0.00047281565,0.00017421346,0.000196031,0.00019180731,0.00013856265,0.000047651054],"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":[0.000043578548,0.00001854706,0.99260557,0.00001700799,0.00005245059,0.000049400656,0.00008741985,0.0004643044,0.0019128609,0.000028860415,0.0004461307,0.0042738556],"study_design_scores_gemma":[6.816289e-7,0.000003197359,0.9995115,0.0000014587099,0.0000054091015,0.0000107658525,0.000053698055,0.0002574301,0.000039396193,0.0000070038636,0.0001084835,0.0000010098695],"about_ca_topic_score_codex":0.23820879,"about_ca_topic_score_gemma":0.4233412,"teacher_disagreement_score":0.7617912,"about_ca_system_score_codex":0.00072982593,"about_ca_system_score_gemma":0.0005470645,"threshold_uncertainty_score":0.4736445},"labels":[],"label_agreement":null},{"id":"W4406870640","doi":"10.1029/2024av001362","title":"Ceres: Organic‐Rich Sites of Exogenic Origin?","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Astro and Planetary Science","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Winnipeg","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency; Max-Planck-Gesellschaft","keywords":"Geology; Astrobiology; Geochemistry; Earth science; Physics","score_opus":0.006561985304708334,"score_gpt":0.24777295966162985,"score_spread":0.24121097435692151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406870640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608374,0.00042355314,0.0010987982,0.000048078415,0.000017680433,0.0000074145114,0.0003989775,0.000046722464,0.0018749558],"genre_scores_gemma":[0.998398,0.00012764454,0.000785694,0.0000123247755,0.000011008533,0.000001633723,0.00028542406,0.000008952777,0.00036937307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999895,0.0000047047697,0.000005019333,0.000036290676,0.000021539074,0.000037483827],"domain_scores_gemma":[0.99981135,0.000020744414,0.00008526097,0.000015840506,0.000037798727,0.000029047089],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018687465,0.0002919596,0.00020230837,0.0013363799,0.00034083624,0.00094388763,0.0002763839,0.0003249203,0.0019780237],"category_scores_gemma":[0.0002633661,0.00011080901,0.00019001304,0.0010412347,0.00041774585,0.00049928064,0.000579316,0.0001906693,0.00029334205],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007046576,0.00007729873,0.8272913,0.00032679038,0.00012989363,0.0021776531,0.00091954204,0.0014729807,0.12388276,0.0012368393,0.00087081327,0.04090946],"study_design_scores_gemma":[0.000018382876,0.00005167104,0.9719287,0.000049890798,0.00009362879,0.0009336896,0.0015841858,0.0037322056,0.015146197,0.00062368705,0.005819649,0.000018056708],"about_ca_topic_score_codex":0.0032390438,"about_ca_topic_score_gemma":0.007031814,"teacher_disagreement_score":0.0032390438,"about_ca_system_score_codex":0.00020718398,"about_ca_system_score_gemma":0.00012437637,"threshold_uncertainty_score":0.006617129},"labels":[],"label_agreement":null},{"id":"W4407387179","doi":"10.1029/2024av001468","title":"Subduction Zone Obliquity Dictates Global Trench‐Parallel Inner Forearc Deformation","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"earthquake and tectonic studies","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Science Foundation","keywords":"Forearc; Subduction; Geology; Trench; Deformation (meteorology); Seismology; Tectonics; Oceanography; Materials science","score_opus":0.009495418143153859,"score_gpt":0.24320762674592225,"score_spread":0.2337122086027684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407387179","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934334,0.000028314287,0.00011638276,0.000007507986,6.3927524e-7,0.0000010640438,0.00005963652,0.00000509847,0.00043800342],"genre_scores_gemma":[0.99986386,0.000015855378,0.000026243013,0.0000014762983,5.673541e-7,3.3846197e-7,0.000036817393,0.0000015227369,0.000053247393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992776,0.000011111905,0.0000054636403,0.000023328645,0.000011454385,0.000020881293],"domain_scores_gemma":[0.9995735,0.00010984491,0.00018421754,0.000035872185,0.000050168128,0.000046345307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017229123,0.00019490512,0.00013839192,0.000561165,0.00011563947,0.0005572474,0.00010089481,0.000112291054,0.0011855802],"category_scores_gemma":[0.0008344237,0.00013376038,0.00015330271,0.00044991483,0.00035705674,0.00023142545,0.00027733337,0.00013225948,0.0001932585],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031962405,0.0000060017796,0.985843,0.000011774595,0.000036486555,0.000048678183,0.00009583799,0.0035835805,0.008063302,0.00014075362,0.000055230037,0.0020834624],"study_design_scores_gemma":[0.0000010803218,0.000007189261,0.9974694,0.000002613677,0.000007721326,0.000026375916,0.00007998786,0.0017475963,0.0005044718,0.00005604427,0.0000955087,0.0000019440583],"about_ca_topic_score_codex":0.005115738,"about_ca_topic_score_gemma":0.009815933,"teacher_disagreement_score":0.005115738,"about_ca_system_score_codex":0.0003268297,"about_ca_system_score_gemma":0.00019798816,"threshold_uncertainty_score":0.01017195},"labels":[],"label_agreement":null},{"id":"W4408309779","doi":"10.1029/2024av001430","title":"Would Adding the Anthropocene to the Geologic Time Scale Matter?","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Radioactivity and Radon Measurements","field":"Health Professions","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":"Brock University","funders":"","keywords":"Anthropocene; Deep time; Scale (ratio); Geologic time scale; Earth science; Geology; Environmental science; History; Environmental ethics; Astrobiology; Paleontology; Geography; Cartography; Philosophy; Biology; Sedimentary rock","score_opus":0.033556979365112594,"score_gpt":0.40984815909206407,"score_spread":0.3762911797269515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408309779","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07038334,0.039655436,0.0029183705,0.8293725,0.015269186,0.000023492608,0.0007725066,0.00008069368,0.04152443],"genre_scores_gemma":[0.83810884,0.032250497,0.0026969342,0.08861192,0.025641663,0.000041974006,0.0003241223,0.000103879036,0.012220132],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99916244,0.00032108402,0.000031752264,0.00021215822,0.0001137076,0.00015878964],"domain_scores_gemma":[0.99042964,0.0051089576,0.0009734381,0.000636245,0.001679441,0.0011723113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007653367,0.00028959318,0.00055059954,0.00088902056,0.0015137079,0.004423027,0.00087865046,0.0020213202,0.011816155],"category_scores_gemma":[0.02056697,0.00017443969,0.00024498074,0.0011439174,0.007956886,0.008289027,0.0012501546,0.0025489817,0.0014180776],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001153218,0.0001509632,0.057451766,0.0009344907,0.00025196612,0.00031769986,0.004009503,0.0012019083,0.0016255546,0.5659491,0.15874848,0.20820534],"study_design_scores_gemma":[0.00008098872,0.00018113531,0.09772514,0.0013970068,0.00017172328,0.00019137323,0.011099107,0.0010065718,0.00085264054,0.36081135,0.52634627,0.0001367345],"about_ca_topic_score_codex":0.01682307,"about_ca_topic_score_gemma":0.024655186,"teacher_disagreement_score":0.01682307,"about_ca_system_score_codex":0.0026689768,"about_ca_system_score_gemma":0.0025205598,"threshold_uncertainty_score":0.04047537},"labels":[],"label_agreement":null},{"id":"W4408954922","doi":"10.1029/2025av001726","title":"Commitment to Advance Excellence and Inclusion in the Earth and Space Sciences Scholarly Publications","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Research Data Management Practices","field":"Computer 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":"Trent University","funders":"","keywords":"Excellence; Inclusion (mineral); Space (punctuation); Political science; Engineering ethics; Sociology; Library science; Computer science; Social science; Engineering; Law","score_opus":0.05030001741960679,"score_gpt":0.379856397871078,"score_spread":0.32955638045147123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408954922","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01339192,0.007501448,0.025212415,0.6555581,0.021951603,0.0008392574,0.0006883128,0.0017342155,0.27312276],"genre_scores_gemma":[0.45828906,0.0134364525,0.07520364,0.12389542,0.029278552,0.0025571168,0.0021052472,0.003493623,0.29174095],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.65012485,0.13776766,0.029011229,0.014206128,0.15430848,0.01458165],"domain_scores_gemma":[0.26753297,0.20934772,0.04205401,0.114780195,0.21901861,0.14726655],"candidate_categories":["metaresearch","open_science"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.23416315,0.0007607098,0.0029604577,0.012348888,0.013064032,0.08982872,0.0056540077,0.014077618,0.031632204],"category_scores_gemma":[0.50794774,0.001272367,0.0011474218,0.01574206,0.019276321,0.03500942,0.052022386,0.020132381,0.031571846],"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":[0.000082265404,0.00028638734,0.0040453062,0.0009918017,0.00012060457,0.00052350055,0.020047018,0.00042385896,0.0008536862,0.28408515,0.41717213,0.2713683],"study_design_scores_gemma":[0.00003548907,0.00005209734,0.0027182533,0.0010711014,0.000029405512,0.00044930188,0.007056108,0.00039421092,0.00040333814,0.09125922,0.8964452,0.000086351145],"about_ca_topic_score_codex":0.0017085236,"about_ca_topic_score_gemma":0.0016796077,"teacher_disagreement_score":0.99434596,"about_ca_system_score_codex":0.0092578,"about_ca_system_score_gemma":0.06609321,"threshold_uncertainty_score":0.9444132},"labels":[],"label_agreement":null},{"id":"W4409976440","doi":"10.1029/2024av001555","title":"A Lagrangian Perspective on the Growth of Midlatitude Storms","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Azrieli Foundation; Israel Science Foundation","keywords":"Middle latitudes; Perspective (graphical); Lagrangian; Storm; Climatology; Meteorology; Mathematics; Geology; Geography; Mathematical analysis; Geometry","score_opus":0.009861497137041394,"score_gpt":0.26005915166595706,"score_spread":0.2501976545289157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409976440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69932574,0.005280023,0.20508811,0.010675082,0.00027994293,0.000039261286,0.0017296106,0.00024352175,0.077338725],"genre_scores_gemma":[0.9808961,0.0022972536,0.012680863,0.00017221368,0.00023895732,0.000014765116,0.0002866102,0.000055216406,0.0033579639],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998753,0.000043818993,0.000007000262,0.000018768293,0.000033751596,0.000021304208],"domain_scores_gemma":[0.9992387,0.0003169468,0.00021672843,0.000066508306,0.000103718936,0.000057458103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038541784,0.00031246684,0.00023372631,0.0008176951,0.00031034084,0.000951823,0.00040778084,0.00029276288,0.002024026],"category_scores_gemma":[0.0014147155,0.00016286712,0.00039477786,0.00048300804,0.0007480476,0.001332303,0.00055966986,0.00043856766,0.00022616424],"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":[0.000045575925,0.000096498596,0.030699862,0.0002102798,0.00006604744,0.00040823326,0.0006854803,0.41470766,0.009783877,0.5193655,0.0031208957,0.020810047],"study_design_scores_gemma":[0.000013009711,0.000045628396,0.01616654,0.000055458757,0.000016556003,0.00011163762,0.00018254283,0.8812889,0.0010641007,0.091780014,0.009255162,0.000020537285],"about_ca_topic_score_codex":0.008751293,"about_ca_topic_score_gemma":0.005808204,"teacher_disagreement_score":0.008751293,"about_ca_system_score_codex":0.0012043357,"about_ca_system_score_gemma":0.0006039272,"threshold_uncertainty_score":0.017400742},"labels":[],"label_agreement":null},{"id":"W4410260902","doi":"10.1029/2024av001636","title":"Earth's Energy Imbalance More Than Doubled in Recent Decades","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Global Energy and Sustainability Research","field":"Energy","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":"McGill University; Environment and Climate Change Canada","funders":"HORIZON EUROPE European Research Council; Pacific Northwest National Laboratory; Department for Science, Innovation and Technology; Lawrence Livermore National Laboratory; Development of Advanced Measurement and Analysis Systems; Japan Aerospace Exploration Agency; National Oceanic and Atmospheric Administration; Vetenskapsrådet; Swedish National Space Agency; Jet Propulsion Laboratory; Ministry of Education, Culture, Sports, Science and Technology; Centre National d’Etudes Spatiales; Office of Legacy Management; Met Office; Boston College; Swedish e-Science Research Centre; National Aeronautics and Space Administration; European Space Agency; Cooperative Institute for Research in Environmental Sciences","keywords":"Earth (classical element); Astrobiology; Energy (signal processing); Earth science; Environmental science; Natural resource economics; Geology; Economics; Physics; Astronomy","score_opus":0.008895193416785279,"score_gpt":0.30479159768064834,"score_spread":0.29589640426386304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410260902","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38340417,0.28352493,0.007662475,0.13106684,0.020456089,0.00006530731,0.02281882,0.00067914126,0.15032221],"genre_scores_gemma":[0.8428155,0.105916806,0.0028611443,0.011695192,0.004776928,0.000058751306,0.0060541406,0.000108135035,0.025713306],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977297,0.000025615827,0.000019724503,0.00005227383,0.00006884824,0.00006056981],"domain_scores_gemma":[0.9995307,0.0000550234,0.00012277738,0.000021943331,0.00019203844,0.000077520206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044479695,0.00037260857,0.0003300155,0.0010151409,0.0008328381,0.0016378266,0.0002590582,0.00094326143,0.0087772375],"category_scores_gemma":[0.0010205338,0.000105944964,0.00029269533,0.002659607,0.00056163635,0.0018235623,0.0013423817,0.001140463,0.0015340669],"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":[0.0006829162,0.00009372746,0.08375983,0.0033752506,0.0004181223,0.0013412992,0.0022851368,0.0030804984,0.010298161,0.06672505,0.17573366,0.6522063],"study_design_scores_gemma":[0.000015965647,0.00006359887,0.09566829,0.00060047646,0.000086327585,0.0009165224,0.00190142,0.00051325926,0.0015264043,0.009929089,0.88873124,0.000047453534],"about_ca_topic_score_codex":0.008922863,"about_ca_topic_score_gemma":0.008457459,"teacher_disagreement_score":0.008922863,"about_ca_system_score_codex":0.0015150625,"about_ca_system_score_gemma":0.0013442964,"threshold_uncertainty_score":0.029362738},"labels":[],"label_agreement":null},{"id":"W4411672400","doi":"10.1029/2025av001682","title":"Effect of Recent Prescribed Burning and Land Management on Wildfire Burn Severity and Smoke Emissions in the Western United States","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Fire effects on ecosystems","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":"University of British Columbia","funders":"Cooperative Programs for the Advancement of Earth System Science; National Oceanic and Atmospheric Administration; Stony Brook University","keywords":"Smoke; Environmental science; Prescribed burn; Environmental health; Environmental protection; Meteorology; Geography; Forestry; Medicine","score_opus":0.005758427904184852,"score_gpt":0.2565580071890056,"score_spread":0.2507995792848208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411672400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904126,0.00011648626,0.000054365843,0.00004442071,0.000008375372,0.000008138633,0.00024188799,0.000005120246,0.00048000686],"genre_scores_gemma":[0.99907804,0.00008561929,0.00009255181,0.000057830184,0.0000056778345,0.000011498321,0.00045447852,0.000001745343,0.00021246122],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996124,0.00010931932,0.000029210078,0.00012090557,0.00008046178,0.000047794165],"domain_scores_gemma":[0.9987717,0.0002758349,0.00044754794,0.0000816135,0.00023709254,0.00018621146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006962811,0.00021183932,0.00021063366,0.00025597983,0.00030977183,0.00048598036,0.00046679782,0.00020901937,0.0010226278],"category_scores_gemma":[0.0014672658,0.00013048729,0.00036198547,0.00029725875,0.00029555897,0.00026606585,0.00026080536,0.0003811905,0.00009221936],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004260019,0.00053852506,0.9882429,0.00003080082,0.0001858163,0.000047393798,0.000094719144,0.0010303562,0.00081447035,0.000044827408,0.00065193983,0.007892281],"study_design_scores_gemma":[0.000008540772,0.000126376,0.99848086,0.000007832319,0.000031548538,0.000010674101,0.00019658149,0.00071402243,0.00017112849,0.00001788464,0.00023109406,0.0000032929959],"about_ca_topic_score_codex":0.09200517,"about_ca_topic_score_gemma":0.18289052,"teacher_disagreement_score":0.09200517,"about_ca_system_score_codex":0.0009035802,"about_ca_system_score_gemma":0.00055139285,"threshold_uncertainty_score":0.18293929},"labels":[],"label_agreement":null},{"id":"W4412041116","doi":"10.1029/2025av001704","title":"Is Water Stress the Root Cause of the Observed Nonlinear Relationship Between Yield Losses and Temperature?","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Yield (engineering); Stress (linguistics); Water stress; Nonlinear system; Root cause; Materials science; Environmental science; Agronomy; Composite material; Biology; Engineering; Physics; Reliability engineering","score_opus":0.021934017591843432,"score_gpt":0.2430124368887306,"score_spread":0.22107841929688715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412041116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9799804,0.0017112116,0.014473614,0.00060793455,0.000022854285,0.00000538559,0.00044720818,0.0001190172,0.0026322147],"genre_scores_gemma":[0.9982583,0.00038218146,0.0007237291,0.000031136955,0.000008551571,0.0000035113492,0.00009656607,0.000014774073,0.00048124898],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998771,0.00002227209,0.0000045674324,0.00004888818,0.000026847289,0.000020324409],"domain_scores_gemma":[0.99933225,0.00019223834,0.00026125694,0.000110902016,0.00006691868,0.00003632453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003038079,0.00021447364,0.0003253319,0.00015267966,0.00014809369,0.0005945289,0.0003976323,0.00023697528,0.0012405318],"category_scores_gemma":[0.000913683,0.00019271419,0.00018018238,0.00024560236,0.00058893283,0.00058853946,0.00043718,0.00046230693,0.00025862484],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053639046,0.00018788099,0.5915356,0.00027878344,0.00045393567,0.00038067222,0.00042472646,0.0915731,0.22872263,0.011852349,0.0023545616,0.07169938],"study_design_scores_gemma":[0.000015989846,0.00013356404,0.7638507,0.000026008069,0.00010941612,0.0002824411,0.00022040568,0.18920593,0.02544112,0.016092706,0.0045692623,0.00005248456],"about_ca_topic_score_codex":0.0038392015,"about_ca_topic_score_gemma":0.003157048,"teacher_disagreement_score":0.0038392015,"about_ca_system_score_codex":0.0004446032,"about_ca_system_score_gemma":0.00019978151,"threshold_uncertainty_score":0.007633686},"labels":[],"label_agreement":null},{"id":"W4413166063","doi":"10.1029/2024av001586","title":"Accelerating River Discharge in High Mountain Asia","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"Nuclear Safety and Security Commission; National Aeronautics and Space Administration","keywords":"Hydrology (agriculture); Environmental science; Geology; Geography; Geotechnical engineering","score_opus":0.00734575528877877,"score_gpt":0.2426444574871959,"score_spread":0.23529870219841714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413166063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850523,0.00004949052,0.00012826403,0.000069120375,0.0000016990601,0.0000018190466,0.00018941412,0.000010092192,0.0010448174],"genre_scores_gemma":[0.99965024,0.00003958346,0.00008768635,0.000010630684,0.0000026079952,0.0000014056163,0.00010383361,0.0000013153516,0.000102761216],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999238,0.00001976846,0.0000057662533,0.000019995116,0.000014568539,0.000016106043],"domain_scores_gemma":[0.99978393,0.000038967257,0.000082641796,0.000017082926,0.000045779936,0.00003165461],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023151882,0.00012339716,0.00011274921,0.0004561802,0.00021250386,0.000587169,0.00019894246,0.00013863997,0.00071035314],"category_scores_gemma":[0.0004463194,0.00009177607,0.00017208273,0.0009765234,0.00022217685,0.00042371426,0.0004355577,0.0002049256,0.00006322353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019574156,0.000023118695,0.98969156,0.000019971152,0.000031496944,0.00011550235,0.00059600995,0.0014253886,0.0010896,0.0002899492,0.00020068648,0.0064971223],"study_design_scores_gemma":[0.0000015281452,0.000016080623,0.9960157,0.000005714001,0.000010041945,0.000037092377,0.00060306716,0.0023919698,0.0002588891,0.00009852907,0.00055759464,0.0000037513703],"about_ca_topic_score_codex":0.02434022,"about_ca_topic_score_gemma":0.026297767,"teacher_disagreement_score":0.02434022,"about_ca_system_score_codex":0.00048148766,"about_ca_system_score_gemma":0.00038380918,"threshold_uncertainty_score":0.048397064},"labels":[],"label_agreement":null},{"id":"W4413354551","doi":"10.1029/2025av002011","title":"The Executive Order “Restoring Gold Standard Science” is Dangerous for America","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Research, Science, and Academia","field":"Decision 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":"Trent University","funders":"","keywords":"Executive order; Order (exchange); Political science; Business; Public administration","score_opus":0.0686983631736243,"score_gpt":0.463157396942946,"score_spread":0.3944590337693217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413354551","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010491582,0.007056281,0.0011022973,0.5919497,0.029106107,0.00010750014,0.00057623134,0.0004016215,0.35920873],"genre_scores_gemma":[0.10948863,0.0065372353,0.0023306543,0.4672171,0.011761988,0.00019753321,0.00061793363,0.00031094896,0.40153795],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99411434,0.0012256599,0.00032304414,0.0006991596,0.0024312728,0.0012064518],"domain_scores_gemma":[0.9856656,0.005139472,0.00069209794,0.0010175878,0.0060472055,0.0014380661],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0077544292,0.00060832634,0.00061571534,0.0009975937,0.008379866,0.012577604,0.0012929788,0.011662686,0.014920864],"category_scores_gemma":[0.01570345,0.0004791819,0.00051832374,0.00097215164,0.0045521706,0.003573092,0.0022831387,0.015514722,0.008554092],"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":[0.000032266606,0.00004870389,0.00066575373,0.000046092526,0.000008500976,0.00013863349,0.00037317202,0.000098306155,0.000259616,0.11798624,0.86660874,0.013734028],"study_design_scores_gemma":[0.0000132668365,0.000027915392,0.0007665876,0.00012466873,0.000012789474,0.000028117838,0.00029150656,0.0001366514,0.00029142346,0.009022438,0.98926216,0.000022451835],"about_ca_topic_score_codex":0.03792477,"about_ca_topic_score_gemma":0.050794024,"teacher_disagreement_score":0.9916201,"about_ca_system_score_codex":0.007030942,"about_ca_system_score_gemma":0.020579701,"threshold_uncertainty_score":0.07540804},"labels":[],"label_agreement":null},{"id":"W4413443863","doi":"10.1029/2025av001849","title":"Decades‐Long Evolution of Post‐Fire Permafrost Deformation Detected by InSAR: Insights From Chronosequence in North Yukon","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Climate change and permafrost","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":"Japan Society for the Promotion of Science; National Institute of Polar Research","keywords":"Chronosequence; Permafrost; Interferometric synthetic aperture radar; Geology; Earth science; Physical geography; Geomorphology; Geography; Remote sensing; Oceanography; Soil science; Synthetic aperture radar; Soil water","score_opus":0.009354561316248126,"score_gpt":0.2245183765889537,"score_spread":0.2151638152727056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413443863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987331,0.00013483452,0.00015642586,0.000015935546,0.0000041836347,0.000002960963,0.00067095476,0.000017667493,0.00026398868],"genre_scores_gemma":[0.9981614,0.00008654065,0.00027590673,0.000014151631,0.0000029574846,0.0000055710934,0.0012676376,0.000006151589,0.00017966094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998915,0.0000064097944,0.000011390441,0.000038007627,0.000016272928,0.000036308553],"domain_scores_gemma":[0.99973637,0.000021249487,0.00005513249,0.00003745523,0.00011026272,0.000039488987],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020565474,0.00033594485,0.0003042177,0.0010774076,0.0004683551,0.00051535043,0.0002807803,0.00037379455,0.00055006606],"category_scores_gemma":[0.00025779742,0.00021840485,0.00035821428,0.0015798707,0.00030898573,0.00032805276,0.00032849406,0.00013674161,0.00016272011],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001622102,0.000053744363,0.9657736,0.000083794206,0.0002220638,0.00057834387,0.00068687566,0.0032299787,0.01407203,0.0001255879,0.00067354337,0.014338338],"study_design_scores_gemma":[0.000003657469,0.0000101049445,0.99641454,0.0000074652294,0.00003789208,0.00007048682,0.00029968287,0.002143454,0.00041908585,0.000017354314,0.0005660571,0.000010070791],"about_ca_topic_score_codex":0.14555812,"about_ca_topic_score_gemma":0.26560104,"teacher_disagreement_score":0.14555812,"about_ca_system_score_codex":0.0006745167,"about_ca_system_score_gemma":0.00069363025,"threshold_uncertainty_score":0.28942174},"labels":[],"label_agreement":null},{"id":"W4416675437","doi":"10.1029/2025av001881","title":"Redefining SAR Arc Generation: The Competing Roles of Magnetospheric and Ionospheric Energy Injection","year":2025,"lang":"en","type":"article","venue":"AGU Advances","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 Calgary","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China; National Science Foundation","keywords":"Airglow; Ionosphere; Earth's magnetic field; Electron precipitation; Arc (geometry); Plasma; Flux (metallurgy); Magnetosphere; Heat flux","score_opus":0.005089559881374174,"score_gpt":0.21644398913613916,"score_spread":0.211354429254765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416675437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894484,0.00022337699,0.0044430923,0.00026148788,0.000026943908,0.00001118278,0.00017645636,0.00009511747,0.0053138956],"genre_scores_gemma":[0.9992418,0.000049939383,0.00043663607,0.00001633926,0.000004445699,0.0000032257851,0.000038758386,0.000012909086,0.00019599701],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99994576,0.00001085516,0.0000024584035,0.000013562456,0.000007846474,0.000019405452],"domain_scores_gemma":[0.9998524,0.000056030975,0.000031288473,0.000015205,0.000013923435,0.000031016247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020328563,0.00028981804,0.00029534573,0.0002797836,0.00037771082,0.00084476115,0.00044431028,0.00052957283,0.0020869551],"category_scores_gemma":[0.000694329,0.00023250787,0.0003827886,0.00024293413,0.000512213,0.0007460297,0.00060842955,0.00042393003,0.00011743298],"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":[0.00024472194,0.0001477884,0.090749964,0.00008853662,0.00016712652,0.00036258387,0.00026005265,0.869916,0.018375086,0.010557919,0.00095935765,0.008170771],"study_design_scores_gemma":[0.000061067105,0.00004076152,0.026967587,0.000011396173,0.000024825436,0.000050129875,0.00013393462,0.96816885,0.00162438,0.002146383,0.0007518474,0.00001884061],"about_ca_topic_score_codex":0.010386256,"about_ca_topic_score_gemma":0.006570562,"teacher_disagreement_score":0.010386256,"about_ca_system_score_codex":0.0007376187,"about_ca_system_score_gemma":0.0005146504,"threshold_uncertainty_score":0.020651579},"labels":[],"label_agreement":null},{"id":"W4416996175","doi":"10.1029/2025av001921","title":"Toward Co‐Designed Earth System Models: Reflecting End‐User Priorities in Local Applications From a Modeler's Perspective","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Sustainability and Climate Change Governance","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"National Science Foundation","keywords":"Climate change; Indigenous; Earth system science; Perspective (graphical); Adaptation (eye); Climate model; Climate system; Arctic; Information system","score_opus":0.028848403937492696,"score_gpt":0.3003745198757199,"score_spread":0.2715261159382272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416996175","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.24400298,0.00021011372,0.7058061,0.010648996,0.00012866002,0.00079784606,0.00018353503,0.0032665732,0.034955297],"genre_scores_gemma":[0.6803197,0.0001609878,0.31491724,0.00067431596,0.000031610565,0.00051167695,0.0002452148,0.00073219766,0.0024070917],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9546083,0.038005292,0.0012505504,0.0019194628,0.0029922854,0.001224147],"domain_scores_gemma":[0.94490844,0.028650671,0.003006719,0.011380836,0.008599846,0.0034533967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.04796429,0.0014336195,0.0008452749,0.0014766917,0.0033493503,0.011228451,0.004443821,0.003024904,0.0036108936],"category_scores_gemma":[0.06604206,0.0015053399,0.0013540818,0.0011183018,0.0037205543,0.012657391,0.013087243,0.0051391963,0.0011766579],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012135687,0.0035106451,0.086391516,0.0017499396,0.0006839009,0.0028255943,0.13204671,0.3051756,0.04872306,0.18220276,0.01520539,0.22027133],"study_design_scores_gemma":[0.00022337827,0.00080758834,0.0056401365,0.0011094497,0.00035083166,0.000560852,0.04548486,0.6750084,0.032217264,0.12851234,0.10970305,0.00038175084],"about_ca_topic_score_codex":0.0043534627,"about_ca_topic_score_gemma":0.006924987,"teacher_disagreement_score":0.04796429,"about_ca_system_score_codex":0.0043630553,"about_ca_system_score_gemma":0.0069850734,"threshold_uncertainty_score":0.25366247},"labels":[],"label_agreement":null},{"id":"W4417298202","doi":"10.1029/2025av001914","title":"A U.S. Scientific Community Vision for Sustained Earth Observations of Greenhouse Gases to Support Local to Global Action","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; Western University; Quadrise Canada Corporation (Canada)","funders":"National Aeronautics and Space Administration; National Science Foundation","keywords":"Greenhouse gas; Carbon cycle; Earth system science; Carbon flux; Atmosphere (unit); Satellite; Earth observation; Global warming; Troposphere","score_opus":0.019746293678216138,"score_gpt":0.29628177798742056,"score_spread":0.27653548430920444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417298202","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0053553176,0.02281131,0.027429732,0.79387546,0.032605335,0.00040692647,0.008308678,0.0033002156,0.105907075],"genre_scores_gemma":[0.17215791,0.04450883,0.3154464,0.28638768,0.013877509,0.0012359361,0.018836135,0.0011013063,0.14644828],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99744874,0.000665398,0.00010692267,0.0003109282,0.0011014263,0.00036662215],"domain_scores_gemma":[0.9832497,0.0019328641,0.00086017913,0.0010832722,0.008824306,0.0040495587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.018882236,0.0011139096,0.0006371205,0.0017338191,0.0016415416,0.004331066,0.0015836534,0.0065989182,0.017671991],"category_scores_gemma":[0.009880868,0.0003222512,0.0008101368,0.0015263516,0.0014591445,0.0034408679,0.003907382,0.005768688,0.007948734],"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":[0.00013922149,0.00027799286,0.0017133659,0.00032894211,0.000045244058,0.0000662781,0.00012901782,0.00061773654,0.0029794376,0.035827264,0.76429975,0.19357568],"study_design_scores_gemma":[0.000046004294,0.00008148606,0.0033379144,0.0002726027,0.000021926176,0.000047164027,0.00018214445,0.00084717845,0.00059674925,0.013505995,0.9810415,0.000019446054],"about_ca_topic_score_codex":0.015120413,"about_ca_topic_score_gemma":0.012062659,"teacher_disagreement_score":0.018882236,"about_ca_system_score_codex":0.0024030302,"about_ca_system_score_gemma":0.023713602,"threshold_uncertainty_score":0.09985995},"labels":[],"label_agreement":null},{"id":"W7117546103","doi":"10.1029/2025av001891","title":"Seasonal Ice Cover Could Allow Liquid Lakes to Persist in a Cold Mars Paleoclimate","year":2025,"lang":"en","type":"article","venue":"AGU Advances","topic":"Planetary Science and Exploration","field":"Physics and Astronomy","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":"York University","funders":"Canadian Space Agency; Rice University","keywords":"Mars Exploration Program; Martian; Paleoclimatology; Climate change; Liquid water; Climate model; Cryosphere","score_opus":0.008091304789527866,"score_gpt":0.24798233514829737,"score_spread":0.23989103035876952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117546103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99894804,0.000018088944,0.0004211266,0.00006337109,0.0000033683411,0.0000016172933,0.00009416044,0.000035888734,0.00041440534],"genre_scores_gemma":[0.9997242,0.00000575528,0.00013267224,0.0000093221715,0.0000014495754,0.0000020493042,0.00006411169,0.0000037364064,0.00005678162],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995494,0.0000091928605,0.0000028363934,0.000011053167,0.0000046351474,0.000017303877],"domain_scores_gemma":[0.9998851,0.000024851342,0.00002636385,0.000013767894,0.0000169169,0.000033040254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019802252,0.0002219757,0.00020976065,0.0002275071,0.00060061767,0.0009563964,0.00029578956,0.00037797826,0.001427207],"category_scores_gemma":[0.00037835463,0.00016385186,0.00038675778,0.00019935051,0.00032147087,0.0006433268,0.00047496744,0.00029924125,0.00008783573],"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":[0.0013090173,0.00023684339,0.63287973,0.00009022146,0.00041843415,0.0007880804,0.00033003592,0.25454992,0.0893742,0.0030751072,0.0021147071,0.014833637],"study_design_scores_gemma":[0.00015154356,0.000461164,0.39114332,0.000020381476,0.0001969638,0.00011556896,0.0007795138,0.5887495,0.012402506,0.0024549225,0.0034685931,0.000055984874],"about_ca_topic_score_codex":0.01082048,"about_ca_topic_score_gemma":0.013890813,"teacher_disagreement_score":0.01082048,"about_ca_system_score_codex":0.0007715292,"about_ca_system_score_gemma":0.00036158643,"threshold_uncertainty_score":0.021515012},"labels":[],"label_agreement":null}]}