{"meta":{"query_hash":"6538d495f90b","filters":{"venue":"Climate Dynamics"},"cohort_total":464,"direct_labels_cover":0,"predictions_cover":464,"exported":464,"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/6538d495f90b","api":"https://metacan.xera.ac/api/v1/cohort?venue=Climate+Dynamics"},"results":[{"id":"W1018029283","doi":"10.1007/s00382-015-2736-5","title":"Extinction of the northern oceanic deep convection in an ensemble of climate model simulations of the 20th and 21st centuries","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Vetenskapsrådet; Linköpings Universitet; National Science Council; National Supercomputer Centre, Linköpings Universitet; Svenska Forskningsrådet Formas","keywords":"Convection; Climatology; Geology; Deep convection; Convective mixing; Climate model; Deep sea; Stratification (seeds); Thermohaline circulation; Northern Hemisphere; Atmospheric sciences; Climate change; Oceanography; Meteorology; Geography","score_opus":0.017985087798802167,"score_gpt":0.2373027960091625,"score_spread":0.2193177082103603,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1018029283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794143,0.00014997998,0.000682597,0.00008140268,0.000027112357,0.0000030162614,0.00045802703,0.00004000906,0.0006163448],"genre_scores_gemma":[0.998307,0.00010834275,0.00040735866,0.00002553912,0.000017096141,0.000009354432,0.00089738687,0.000017267983,0.00021052021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981314,0.000056829736,0.000012109552,0.00006040196,0.000017448632,0.00004003619],"domain_scores_gemma":[0.99934727,0.0002276069,0.00010159775,0.00012239795,0.00009957491,0.00010146374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009955197,0.0005421023,0.0008375671,0.00042305377,0.00049413554,0.0010148261,0.00061690074,0.0009208952,0.0006889396],"category_scores_gemma":[0.0022799247,0.0004818217,0.0011049676,0.0005591774,0.00035038832,0.0007147109,0.0005985581,0.00060625566,0.000120791694],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013792556,0.000066851,0.089125164,0.000033175165,0.00043953166,0.0001477383,0.00010599584,0.90340096,0.0010587546,0.00092381414,0.0009249712,0.0036350447],"study_design_scores_gemma":[0.00006455627,0.000062288345,0.03620866,0.0000127258445,0.00010160602,0.000036597918,0.000054447646,0.96174544,0.00032224186,0.00055594806,0.00080793136,0.00002752426],"about_ca_topic_score_codex":0.039594382,"about_ca_topic_score_gemma":0.024615314,"teacher_disagreement_score":0.039594382,"about_ca_system_score_codex":0.00074549596,"about_ca_system_score_gemma":0.00076271605,"threshold_uncertainty_score":0.07872784},"labels":[],"label_agreement":null},{"id":"W1147180122","doi":"10.1007/s00382-015-2791-y","title":"How will climate change affect explosive cyclones in the extratropics of the Northern Hemisphere?","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Marine Environmental Observation Prediction and Response Network; U.S. Department of Energy","keywords":"Northern Hemisphere; Climatology; Environmental science; Extratropical cyclone; Jet stream; Climate change; Latitude; Atmospheric sciences; African easterly jet; Middle latitudes; Climate model; Precipitation; Storm track; Explosive material; Snow; Tropical cyclone; Jet (fluid); Geology; Meteorology; Oceanography; Storm; Geography; Physics; Tropical wave","score_opus":0.03444145959014269,"score_gpt":0.23964742972792424,"score_spread":0.20520597013778155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1147180122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9542717,0.0035343154,0.0013700231,0.017956888,0.00039576736,0.000013403838,0.0013776524,0.00005650648,0.021023728],"genre_scores_gemma":[0.99664426,0.0018369354,0.000098084536,0.00030014815,0.00010319994,0.0000029644482,0.00012704285,0.00000888927,0.00087847316],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998802,0.000034238084,0.000004157185,0.000019016441,0.000010478647,0.00005191065],"domain_scores_gemma":[0.9996904,0.000076918965,0.000086519605,0.000018971446,0.000050951,0.00007618208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051256147,0.00026784852,0.00025028887,0.00034399176,0.0003812174,0.0018329935,0.0003709412,0.0009786693,0.0030027125],"category_scores_gemma":[0.0017461361,0.00019937751,0.00040279134,0.0006535243,0.00059440715,0.0019001657,0.00042577417,0.0006301888,0.0002917175],"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":[0.0003183351,0.00019823047,0.7480595,0.00023833614,0.00046300594,0.0006389451,0.001017208,0.14626612,0.002330807,0.048400644,0.017391326,0.034677543],"study_design_scores_gemma":[0.00006606377,0.00008195943,0.8139604,0.00009585044,0.00018778688,0.00019399711,0.003602159,0.107875,0.0006065686,0.053576,0.019681541,0.000072735325],"about_ca_topic_score_codex":0.0594027,"about_ca_topic_score_gemma":0.06559266,"teacher_disagreement_score":0.0594027,"about_ca_system_score_codex":0.0012022875,"about_ca_system_score_gemma":0.0007655362,"threshold_uncertainty_score":0.118113875},"labels":[],"label_agreement":null},{"id":"W1415424754","doi":"10.1007/s00382-015-2821-9","title":"Influence of snow and soil moisture initialization on sub-seasonal predictability and forecast skill in boreal spring","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Guelph","funders":"","keywords":"Predictability; Initialization; Climatology; Forecast skill; Environmental science; Northern Hemisphere; Snow; Extratropical cyclone; Climate model; Precipitable water; Boreal; Meteorology; Precipitation; Climate change; Mathematics; Statistics; Computer science; Geology; Geography","score_opus":0.012673830975704152,"score_gpt":0.23224588815804698,"score_spread":0.21957205718234282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1415424754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987423,0.00005108144,0.00047239795,0.000088981215,0.000031599197,0.000002588374,0.0001137371,0.000046194862,0.00045127326],"genre_scores_gemma":[0.9996381,0.00001354895,0.00012487253,0.000009814307,0.000005995511,0.0000011246907,0.00012268465,0.000011035553,0.00007298457],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975055,0.00007089061,0.000032974585,0.00006479488,0.000023844641,0.000056905305],"domain_scores_gemma":[0.9969008,0.0020386432,0.00028189446,0.00017860433,0.00028776977,0.00031233777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012937906,0.0003861547,0.0003173133,0.00025833354,0.00048755287,0.0009991494,0.00033732405,0.0006959142,0.00087801646],"category_scores_gemma":[0.005003457,0.0003391666,0.00047247525,0.00018526566,0.0005072699,0.000831693,0.000515401,0.0005793535,0.000110914625],"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":[0.0016680264,0.00040416897,0.4992604,0.00006527548,0.00026979408,0.00035182433,0.000292186,0.46453208,0.015212915,0.0009853856,0.0016220625,0.01533593],"study_design_scores_gemma":[0.00009375299,0.00017728609,0.29790452,0.000016078207,0.00007377491,0.00003928295,0.00013276153,0.69756424,0.0032040963,0.0003994232,0.00035673325,0.00003801578],"about_ca_topic_score_codex":0.032439183,"about_ca_topic_score_gemma":0.03518593,"teacher_disagreement_score":0.032439183,"about_ca_system_score_codex":0.0006821222,"about_ca_system_score_gemma":0.0007473657,"threshold_uncertainty_score":0.06450069},"labels":[],"label_agreement":null},{"id":"W1447491597","doi":"10.1007/s00382-015-2762-3","title":"Interannual-decadal variability of wintertime mixed layer depths in the North Pacific detected by an ensemble of ocean syntheses","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"European Commission; Sight Research UK; FP7 Space; Department for Environment, Food and Rural Affairs, UK Government; Ministry of Education, Culture, Sports, Science and Technology; Natural Environment Research Council; Met Office","keywords":"Climatology; Empirical orthogonal functions; Teleconnection; Ocean gyre; Pacific decadal oscillation; Environmental science; Mixed layer; Sea surface temperature; Zonal and meridional; Geology; Subtropics; Mode (computer interface); Mode water; El Niño Southern Oscillation","score_opus":0.015038605118379286,"score_gpt":0.2174006347733892,"score_spread":0.2023620296550099,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1447491597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99500775,0.0001966886,0.0003746495,0.00007255801,0.00001760297,0.0000030111796,0.003762014,0.00004016645,0.0005255499],"genre_scores_gemma":[0.99018246,0.00015600321,0.00090996956,0.000021170303,0.000014977371,0.000009414597,0.008427677,0.000015099304,0.00026319455],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999864,0.000019941133,0.000015439968,0.000062560626,0.00001935764,0.000018661172],"domain_scores_gemma":[0.9993174,0.00013767307,0.00017878137,0.00012307458,0.00014794043,0.00009514568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050225604,0.0002842067,0.00019977597,0.0007323079,0.00029174532,0.00055014476,0.00022505363,0.00031516035,0.00066255534],"category_scores_gemma":[0.0012082551,0.00027184444,0.00040913178,0.0009145505,0.00016106806,0.00050207437,0.0006063828,0.00030233024,0.000120130746],"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":[0.000274681,0.00008520711,0.95738935,0.00006159561,0.0009506161,0.000101052385,0.00035585318,0.011738268,0.006620103,0.0003562841,0.002322871,0.019744124],"study_design_scores_gemma":[0.000011130411,0.000009905049,0.9914697,0.000008710187,0.000083425395,0.000024891368,0.000059222657,0.0067231893,0.0004316735,0.00007693449,0.0010915083,0.0000097083375],"about_ca_topic_score_codex":0.03885878,"about_ca_topic_score_gemma":0.06009473,"teacher_disagreement_score":0.03885878,"about_ca_system_score_codex":0.0003574682,"about_ca_system_score_gemma":0.00042419176,"threshold_uncertainty_score":0.0772652},"labels":[],"label_agreement":null},{"id":"W1456409745","doi":"10.1007/s00382-015-2816-6","title":"Twenty-first century probabilistic projections of precipitation over Ontario, Canada through a regional climate model ensemble","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Met Office","keywords":"Precipitation; Climatology; HadCM3; Environmental science; Climate model; Probabilistic logic; Climate change; General Circulation Model; Meteorology; Geography; GCM transcription factors; Mathematics; Statistics; Geology","score_opus":0.02998082188755368,"score_gpt":0.2437495769696141,"score_spread":0.21376875508206042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1456409745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9475099,0.0009792267,0.0057000173,0.0020520259,0.00012037926,0.000040710398,0.036247414,0.00026661728,0.0070836153],"genre_scores_gemma":[0.9803231,0.0007414117,0.0030230633,0.000099208395,0.000026362948,0.000024338251,0.012853111,0.000038551058,0.0028709173],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997546,0.000033737288,0.00001818963,0.00006277843,0.00007997326,0.00005071145],"domain_scores_gemma":[0.9993333,0.00006655242,0.00006975898,0.000034797537,0.00040129412,0.00009412824],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065100356,0.00038890695,0.00032393332,0.0005480181,0.0011032799,0.0008576265,0.00093545264,0.000559577,0.0012802875],"category_scores_gemma":[0.0016390332,0.00038997416,0.0005464132,0.0013819232,0.00046625326,0.00059935247,0.00041840543,0.0006638802,0.0002665015],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023708392,0.00006126084,0.100974634,0.00011887327,0.00037749182,0.00017155666,0.00032050913,0.86370564,0.0008843677,0.0029378564,0.013826181,0.01638448],"study_design_scores_gemma":[0.000137909,0.000036134497,0.1393637,0.000071866205,0.00021101754,0.000068497764,0.00040295054,0.8392067,0.0008768742,0.0021925003,0.017312294,0.00011953104],"about_ca_topic_score_codex":0.98214287,"about_ca_topic_score_gemma":0.9879481,"teacher_disagreement_score":0.017857134,"about_ca_system_score_codex":0.013663414,"about_ca_system_score_gemma":0.022219786,"threshold_uncertainty_score":0.09913546},"labels":[],"label_agreement":null},{"id":"W1504794133","doi":"10.1007/s00382-002-0292-2","title":"A coupled climate model simulation of the Last Glacial Maximum, Part 2: approach to equilibrium","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":183,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Last Glacial Maximum; Climatology; Climate model; Slab; Sea surface temperature; Environmental science; Precipitation; Geology; Ocean current; Atmospheric sciences; Glacial period; Climate change; Meteorology; Oceanography; Geography; Geophysics; Geomorphology","score_opus":0.025642805026411943,"score_gpt":0.2538691713459003,"score_spread":0.22822636631948837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1504794133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9496565,0.00026850135,0.026034955,0.0010558753,0.00014802946,0.00009560736,0.0018873243,0.000394093,0.020459125],"genre_scores_gemma":[0.98890686,0.00008909233,0.0070259473,0.00011147647,0.000040182502,0.0001104601,0.00074083736,0.00008654046,0.002888719],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998153,0.00007199543,0.000008725629,0.000048842943,0.000018292538,0.000036947644],"domain_scores_gemma":[0.9994949,0.00024607894,0.0000420932,0.000043215536,0.00008216352,0.0000914496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005003848,0.00065876805,0.0010386355,0.0005693218,0.0009066007,0.0014537452,0.0014761209,0.0021770503,0.003430528],"category_scores_gemma":[0.002664685,0.00097292993,0.0010329172,0.00071227865,0.0006871144,0.0010789097,0.0011237224,0.0011000548,0.00029858036],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004976943,0.000029621968,0.0008218213,0.000008371962,0.000028508286,0.000026750044,0.000022361393,0.9965766,0.00022330353,0.0013415716,0.00022542267,0.0006458914],"study_design_scores_gemma":[0.00006313788,0.000014452189,0.00038724765,0.000001467858,0.000012800989,0.000002930769,0.000008874717,0.99870694,0.00006320143,0.0005727318,0.00015940715,0.000006715651],"about_ca_topic_score_codex":0.08278878,"about_ca_topic_score_gemma":0.053269755,"teacher_disagreement_score":0.08278878,"about_ca_system_score_codex":0.002062295,"about_ca_system_score_gemma":0.0024358542,"threshold_uncertainty_score":0.16461378},"labels":[],"label_agreement":null},{"id":"W1536691209","doi":"10.1007/s00382-002-0283-3","title":"Climate sensitivity and response","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Cloud feedback; Climate sensitivity; Climatology; Environmental science; Cloud forcing; Radiative forcing; Positive feedback; Solar constant; Climate model; Forcing (mathematics); Climate change; Atmospheric sciences; Longwave; Cloud cover; Dominance (genetics); Negative feedback; Global temperature; Latitude; Atmosphere (unit); Radiative transfer; Global warming; Meteorology; Geology; Geography; Solar irradiance; Physics; Cloud computing","score_opus":0.009659334985852544,"score_gpt":0.2282242686035869,"score_spread":0.21856493361773438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1536691209","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":[0.43794736,0.0054738494,0.033134904,0.015574835,0.00056592695,0.00012289763,0.0035031065,0.0003526887,0.5033244],"genre_scores_gemma":[0.98205435,0.0010724148,0.0010629465,0.00061558647,0.00010921577,0.000033315853,0.00033305908,0.00003808017,0.014680893],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991854,0.00037352514,0.000023108618,0.00016460587,0.00015559266,0.00009779883],"domain_scores_gemma":[0.9983423,0.0008820961,0.00016448642,0.0002200165,0.0002325194,0.00015854798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010046053,0.00032452372,0.00025523678,0.0008207615,0.00033725682,0.0017404353,0.00025260737,0.0008342714,0.021900134],"category_scores_gemma":[0.007124484,0.00023110883,0.00039371348,0.0011044339,0.00075447356,0.0013218398,0.0010538202,0.00089224614,0.0022575336],"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":[0.00040803783,0.00032104392,0.122908354,0.00042983232,0.00056059816,0.00039272732,0.0023440155,0.062291857,0.008880125,0.6076483,0.02994107,0.16387399],"study_design_scores_gemma":[0.000028799002,0.00015606797,0.28594068,0.00015253964,0.0001397976,0.0005552379,0.00346447,0.028189415,0.0028746636,0.5467964,0.13161223,0.000089693094],"about_ca_topic_score_codex":0.0029995479,"about_ca_topic_score_gemma":0.001634475,"teacher_disagreement_score":0.021900134,"about_ca_system_score_codex":0.001144795,"about_ca_system_score_gemma":0.00038951827,"threshold_uncertainty_score":0.07326329},"labels":[],"label_agreement":null},{"id":"W1537264249","doi":"10.1007/s00382-001-0192-x","title":"Coupled climate modelling of ocean circulation changes during ice age inception","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Thermohaline circulation; Sea ice; Climatology; Geology; North Atlantic Deep Water; Arctic ice pack; Shutdown of thermohaline circulation; Oceanography; Ice sheet; Cryosphere; Ocean current; Sea ice thickness; Drift ice; Environmental science","score_opus":0.038960648685691476,"score_gpt":0.23169271002435507,"score_spread":0.1927320613386636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537264249","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919898,0.00011353905,0.0036043427,0.0003059351,0.000101416095,0.000016836462,0.0009225437,0.00010730037,0.002838279],"genre_scores_gemma":[0.9978594,0.00006838332,0.0008794252,0.000040175142,0.000019215235,0.00001608601,0.00037203022,0.000029373483,0.00071588287],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998784,0.000029625144,0.0000108772265,0.000039603823,0.0000110157225,0.000030489211],"domain_scores_gemma":[0.99949455,0.00020841505,0.000069413036,0.000044068205,0.00008697375,0.000096509335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046368563,0.00065269956,0.0007601956,0.000568464,0.000721687,0.0013214395,0.0012600519,0.0016320173,0.0021796965],"category_scores_gemma":[0.0020426947,0.0007937752,0.0009528652,0.0007067955,0.0008383108,0.0012388857,0.0008635391,0.0012463268,0.00019082607],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014782896,0.000044417557,0.0033505277,0.0000094724055,0.000064712454,0.000035280285,0.000029008292,0.9938664,0.00075897574,0.00063628366,0.00017547692,0.000881651],"study_design_scores_gemma":[0.00005565447,0.000017934368,0.0029653835,0.0000017996246,0.00002755427,0.000004427234,0.000016350732,0.99616265,0.00020329429,0.0003697978,0.00016474989,0.0000104640885],"about_ca_topic_score_codex":0.12552075,"about_ca_topic_score_gemma":0.06809912,"teacher_disagreement_score":0.12552075,"about_ca_system_score_codex":0.0025149276,"about_ca_system_score_gemma":0.0018203191,"threshold_uncertainty_score":0.24958032},"labels":[],"label_agreement":null},{"id":"W1619869279","doi":"10.1007/s00382-002-0284-2","title":"A data-model intercomparison study of Arctic sea-ice variability","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Arctic; Arctic ice pack; Climatology; Sea ice; Geology; Environmental science; Beaufort sea; Arctic sea ice decline; Sea ice thickness; Atmospheric sciences; Oceanography","score_opus":0.035712653859768004,"score_gpt":0.2708167562061619,"score_spread":0.2351041023463939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1619869279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99784267,0.000081129816,0.00091963174,0.00015306562,0.000020027906,0.000014681923,0.0005680492,0.000042584114,0.00035815415],"genre_scores_gemma":[0.9960181,0.000048125894,0.0020597328,0.000032039836,0.0000099418,0.00003853179,0.0014999738,0.000024125942,0.00026946602],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9991473,0.00046040784,0.000058197315,0.00017599123,0.0000808705,0.00007721473],"domain_scores_gemma":[0.9938259,0.004354857,0.00038945785,0.000640063,0.0006342552,0.00015544974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042381445,0.0009556522,0.0005951792,0.0007616302,0.000803634,0.0009634881,0.0010630084,0.0012349649,0.00082097587],"category_scores_gemma":[0.0077317185,0.000459795,0.0012621497,0.0010882393,0.00056673633,0.0015409933,0.0006764486,0.0007934224,0.00019404823],"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":[0.0051602577,0.0036041862,0.3199205,0.0003294251,0.0024989503,0.0007747801,0.0016179553,0.59806865,0.014884138,0.0051296162,0.005855687,0.042155877],"study_design_scores_gemma":[0.0012711149,0.0010694856,0.20321864,0.000042652828,0.001396853,0.0002066207,0.0013433819,0.77039146,0.013903758,0.0021431008,0.004856838,0.00015609078],"about_ca_topic_score_codex":0.042015076,"about_ca_topic_score_gemma":0.026698971,"teacher_disagreement_score":0.042015076,"about_ca_system_score_codex":0.00214145,"about_ca_system_score_gemma":0.0012143776,"threshold_uncertainty_score":0.083541036},"labels":[],"label_agreement":null},{"id":"W1645871303","doi":"10.1007/s00382-002-0275-3","title":"Interannual to multidecadal modes of Labrador climate variability inferred from tree rings","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Atlantic multidecadal oscillation; North Atlantic oscillation; Climatology; Dendrochronology; Period (music); Geology; Sea surface temperature; Climate change; Mode (computer interface); Atmospheric sciences; Oceanography; Paleontology","score_opus":0.011214319283592162,"score_gpt":0.23812750674391703,"score_spread":0.22691318746032488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1645871303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990897,0.000038295893,0.00025323205,0.000015775377,0.0000017462407,0.0000015030039,0.00026164803,0.000017416298,0.00032056318],"genre_scores_gemma":[0.9995834,0.000016570826,0.000106037354,0.00000444548,0.000002431823,0.000001850711,0.00022397621,0.0000050562944,0.00005623814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998734,0.000034557692,0.000007920483,0.00004016772,0.000009475654,0.0000345538],"domain_scores_gemma":[0.9991769,0.00034660814,0.0001889876,0.000105430285,0.00009944881,0.0000825177],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005423126,0.00016726584,0.00022947848,0.0007720841,0.0002837616,0.00056051224,0.000260781,0.00022654429,0.0010220308],"category_scores_gemma":[0.0017553061,0.00023227964,0.00030356064,0.0006800039,0.00019647466,0.00043809277,0.0003453217,0.0002820443,0.0002045422],"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":[0.0003137233,0.0000438683,0.9740326,0.000020213112,0.00014971448,0.000052738487,0.00039512565,0.0058347327,0.01007827,0.0003731646,0.00035591333,0.008349914],"study_design_scores_gemma":[0.0000057027073,0.000016128733,0.9932407,0.0000029434354,0.00002798965,0.000025940564,0.00007859637,0.0059117386,0.0004047051,0.00007288489,0.00020555119,0.0000069919292],"about_ca_topic_score_codex":0.0076799146,"about_ca_topic_score_gemma":0.014430807,"teacher_disagreement_score":0.99232006,"about_ca_system_score_codex":0.00030878108,"about_ca_system_score_gemma":0.00012104928,"threshold_uncertainty_score":0.015270412},"labels":[],"label_agreement":null},{"id":"W1803078767","doi":"10.1007/s00382-002-0288-y","title":"Factors contributing to diurnal temperature range trends in twentieth and twenty-first century simulations of the CCCma coupled model","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":159,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Research Council Canada","keywords":"Environmental science; Climatology; Atmospheric sciences; Cloud cover; Northern Hemisphere; Latitude; Diurnal temperature variation; Snow; Climate model; Climate change; Geology; Meteorology; Geography","score_opus":0.015326971575692138,"score_gpt":0.24527637844916153,"score_spread":0.2299494068734694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1803078767","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99794084,0.00008368186,0.00036335396,0.00029357916,0.00002498316,0.0000044423973,0.00027141953,0.000030457479,0.0009871231],"genre_scores_gemma":[0.9994211,0.00004246113,0.00009668537,0.000020623507,0.000005482287,0.0000037627967,0.00021985992,0.000016706283,0.00017330908],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980134,0.000054753033,0.000018502224,0.00004711138,0.000021635211,0.000056610053],"domain_scores_gemma":[0.99840754,0.0008374728,0.00019093911,0.00010063089,0.00027744359,0.00018603106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007548774,0.00032147087,0.00030312827,0.00043483937,0.0009235739,0.0012193698,0.00045087936,0.0011049896,0.0014539486],"category_scores_gemma":[0.0065499675,0.00054489035,0.00044417754,0.00073142495,0.00053527084,0.0006816997,0.000552187,0.0009896627,0.00014374797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043837514,0.00015296804,0.2469312,0.000077885685,0.00018595227,0.00042654437,0.00039863854,0.73571765,0.006952019,0.0022167084,0.0021522962,0.0043497444],"study_design_scores_gemma":[0.000123467,0.00007133479,0.19226725,0.000023262834,0.00011007741,0.00008912811,0.00043784562,0.8017788,0.0025437498,0.00077968085,0.0017028772,0.00007261955],"about_ca_topic_score_codex":0.0893092,"about_ca_topic_score_gemma":0.11073174,"teacher_disagreement_score":0.0893092,"about_ca_system_score_codex":0.0012939636,"about_ca_system_score_gemma":0.0011778701,"threshold_uncertainty_score":0.17757875},"labels":[],"label_agreement":null},{"id":"W1818848341","doi":"10.1007/s00382-015-2809-5","title":"The reliability of single precision computations in the simulation of deep soil heat diffusion in a land surface model","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Environment and Climate Change Canada","funders":"","keywords":"Rounding; Permafrost; Computer science; Machine epsilon; Climate model; Data assimilation; Discretization; Algorithm; Accuracy and precision; Single-precision floating-point format; Stability (learning theory); Reliability (semiconductor); Environmental science; Computation; Climate change; Climatology; Applied mathematics; Meteorology; Mathematics; Statistics; Geology; Machine learning","score_opus":0.045301838838671546,"score_gpt":0.2728811428024247,"score_spread":0.22757930396375314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1818848341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897279,0.00017402196,0.00826536,0.00017573105,0.000035278725,0.000009838117,0.00012955545,0.00022907414,0.0012532504],"genre_scores_gemma":[0.99768996,0.00003241812,0.0020876718,0.000007522656,0.0000026493983,0.000003385505,0.00006629613,0.000023002802,0.00008700328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989772,0.00019858826,0.00006623678,0.00017059046,0.0004564136,0.00013096213],"domain_scores_gemma":[0.9866284,0.008713027,0.0009279097,0.0017090169,0.001777727,0.00024391747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019850016,0.00035364754,0.00043887983,0.00036715824,0.000509956,0.0010152922,0.0006255413,0.0004679115,0.00060470565],"category_scores_gemma":[0.01966142,0.00031659473,0.00030520748,0.00046516964,0.0009565363,0.00082342146,0.0005726882,0.00095516606,0.00012127944],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011490311,0.00015924453,0.04493468,0.00024267421,0.00009490199,0.00023723429,0.00052743143,0.8377693,0.08150053,0.0036614318,0.0006388452,0.029084599],"study_design_scores_gemma":[0.00004685111,0.00034812326,0.012706168,0.000029073319,0.000038129914,0.00005087721,0.00021770228,0.9035002,0.08104472,0.0012980935,0.0006780588,0.000042016974],"about_ca_topic_score_codex":0.02233802,"about_ca_topic_score_gemma":0.013166714,"teacher_disagreement_score":0.02233802,"about_ca_system_score_codex":0.0010456892,"about_ca_system_score_gemma":0.0009533128,"threshold_uncertainty_score":0.04441601},"labels":[],"label_agreement":null},{"id":"W1873823315","doi":"10.1007/s00382-015-2674-2","title":"Attribution of extreme temperature changes during 1951–2010","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact; Pacific Institute for Climate Solutions; Environment and Climate Change Canada","funders":"Korea Meteorological Administration","keywords":"Climatology; Environmental science; Forcing (mathematics); Coupled model intercomparison project; Arctic oscillation; Arctic; Climate change; Climate model; Atmospheric sciences; Geology; Oceanography","score_opus":0.039270862068584454,"score_gpt":0.2360827847460563,"score_spread":0.19681192267747183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1873823315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99072415,0.00032221308,0.0004305085,0.0004781608,0.00011179246,0.0000065839936,0.00474759,0.000052250616,0.00312668],"genre_scores_gemma":[0.9958489,0.00015809757,0.00009923438,0.000025785837,0.000033885473,0.0000033154743,0.0032699255,0.000010008314,0.00055090035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998074,0.000025622354,0.000016205497,0.00007896931,0.000020759097,0.000051062914],"domain_scores_gemma":[0.9992091,0.00015474425,0.00024227264,0.00010653416,0.00013070888,0.0001567213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00062825356,0.00030508995,0.00019293299,0.0011936807,0.00048427374,0.00085485535,0.00039572586,0.000644836,0.0017638357],"category_scores_gemma":[0.0020542,0.00027096132,0.0006292603,0.0014162827,0.00038480255,0.0006033766,0.00095697393,0.00068064255,0.00033424958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067748735,0.00007759616,0.9095874,0.00009564974,0.00040301704,0.00030830686,0.00065905426,0.062362514,0.0016366114,0.0022193764,0.0070499023,0.014923134],"study_design_scores_gemma":[0.000012759705,0.000018594106,0.9762447,0.00002893895,0.000031981977,0.00008104264,0.00022690571,0.018829,0.00032369947,0.00059371826,0.0035883184,0.000020334917],"about_ca_topic_score_codex":0.079696946,"about_ca_topic_score_gemma":0.09520673,"teacher_disagreement_score":0.079696946,"about_ca_system_score_codex":0.0018039432,"about_ca_system_score_gemma":0.0007909725,"threshold_uncertainty_score":0.15846616},"labels":[],"label_agreement":null},{"id":"W1929806763","doi":"10.1007/s00382-015-2642-x","title":"How well do CMIP5 climate models reproduce explosive cyclones in the extratropics of the Northern Hemisphere?","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Marine Environmental Observation Prediction and Response Network; U.S. Department of Energy","keywords":"Extratropical cyclone; Climatology; Environmental science; Northern Hemisphere; Jet stream; Cyclone (programming language); Explosive material; Sea surface temperature; African easterly jet; Precipitation; Climate model; Cyclogenesis; Coupled model intercomparison project; Atmospheric sciences; Snow; Climate change; Tropical cyclone; Meteorology; Geology; Jet (fluid); Oceanography; Geography; Tropical wave","score_opus":0.02644490835160166,"score_gpt":0.22414199430064752,"score_spread":0.19769708594904586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1929806763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9751106,0.0015779849,0.004107679,0.0052830935,0.0002835624,0.000028235605,0.0047292802,0.00058676436,0.008292894],"genre_scores_gemma":[0.99732,0.00039146014,0.0005105121,0.00027304175,0.00006960595,0.0000071624613,0.0010284091,0.000084591724,0.0003152567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992149,0.00032395372,0.000058007307,0.00021610966,0.000068857924,0.00011818873],"domain_scores_gemma":[0.99671245,0.001378756,0.00063884153,0.00049987476,0.0004682529,0.00030175905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024683913,0.0010583457,0.0007642716,0.0006290945,0.0005501655,0.00266826,0.0010866615,0.001801949,0.0024632649],"category_scores_gemma":[0.013878212,0.00067870226,0.0007014762,0.0011221851,0.00070805283,0.0039787707,0.0006286968,0.00078264,0.00086992304],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025595629,0.00012414914,0.2508259,0.00016998264,0.0010680016,0.00017313485,0.0002490036,0.7205548,0.0011951028,0.003613265,0.007087158,0.014683428],"study_design_scores_gemma":[0.00020069623,0.00004949096,0.10251583,0.00010322251,0.00022737615,0.00008042949,0.0005195574,0.8825008,0.00085254957,0.009369611,0.0034913383,0.00008910522],"about_ca_topic_score_codex":0.06217673,"about_ca_topic_score_gemma":0.04958934,"teacher_disagreement_score":0.06217673,"about_ca_system_score_codex":0.0013878649,"about_ca_system_score_gemma":0.001448745,"threshold_uncertainty_score":0.12362963},"labels":[],"label_agreement":null},{"id":"W1964411468","doi":"10.1007/s003820000134","title":"Glacial termination: sensitivity to orbital and CO 2 forcing in a coupled climate system model","year":2001,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Calgary; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Orbital forcing; Climatology; Forcing (mathematics); Deglaciation; Ice sheet; Glacial period; Ice-sheet model; Geology; Climate model; Environmental science; Atmospheric sciences; Sea ice; Climate change; Cryosphere; Oceanography; Ice stream; Geomorphology","score_opus":0.014932607749190032,"score_gpt":0.23507754280458862,"score_spread":0.2201449350553986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964411468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598736,0.00007255593,0.0016797797,0.00033264636,0.00003951997,0.000010631949,0.0005959987,0.00014283234,0.0011386538],"genre_scores_gemma":[0.9986902,0.000035860037,0.00038353095,0.00003531085,0.000012091383,0.000008600896,0.00038306086,0.000033812787,0.00041756945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982893,0.00006781321,0.000010941096,0.00004249446,0.0000092263745,0.000040555617],"domain_scores_gemma":[0.998486,0.00094106025,0.00015446484,0.000091484406,0.00012157754,0.000205452],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223151,0.0006749028,0.0008678272,0.00045917346,0.00075665204,0.0018503659,0.0009886666,0.0016002487,0.0023521709],"category_scores_gemma":[0.0043600984,0.0008963476,0.00074091187,0.00053414755,0.0010353418,0.0012345386,0.0008390077,0.00109716,0.00023582418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037828015,0.00004164389,0.014893097,0.000016489312,0.00007536355,0.00006157433,0.000036205136,0.9812563,0.00096799823,0.0008340247,0.0005766175,0.0008624643],"study_design_scores_gemma":[0.0000834676,0.00002370488,0.004412252,0.0000029308337,0.000040658615,0.0000046285727,0.000013644658,0.99469864,0.00020903819,0.00044201125,0.000057080484,0.000011944859],"about_ca_topic_score_codex":0.07926649,"about_ca_topic_score_gemma":0.042257372,"teacher_disagreement_score":0.07926649,"about_ca_system_score_codex":0.0017599276,"about_ca_system_score_gemma":0.0013427461,"threshold_uncertainty_score":0.15761024},"labels":[],"label_agreement":null},{"id":"W1964671464","doi":"10.1007/s00382-014-2415-y","title":"Influence of ocean–atmospheric oscillations on lake ice phenology in eastern North America","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Teleconnection; Climatology; Pacific decadal oscillation; Proxy (statistics); North Atlantic oscillation; Geology; Atlantic multidecadal oscillation; Ice core; Oceanography; Physical geography; Environmental science; Geography; El Niño Southern Oscillation","score_opus":0.007767394307640007,"score_gpt":0.2185071291357341,"score_spread":0.2107397348280941,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964671464","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99915135,0.00007463653,0.000046601614,0.00017429859,0.000005042679,8.586345e-7,0.000089161935,0.0000048743823,0.0004531602],"genre_scores_gemma":[0.9996488,0.000072690964,0.000024997913,0.000018331959,0.000005014595,0.0000011783952,0.00006983139,0.0000030882154,0.0001559742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998729,0.000038544775,0.00000842025,0.000027209402,0.000013258553,0.000039643815],"domain_scores_gemma":[0.99928916,0.000276385,0.00014713523,0.00003467013,0.00010108407,0.00015154704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005089418,0.0001562594,0.00019506164,0.00036391534,0.0005310119,0.00096825446,0.00029515207,0.0004388376,0.001829959],"category_scores_gemma":[0.0016284542,0.0002462676,0.00035156374,0.0005503579,0.00058009336,0.0007253202,0.00081610907,0.00038613024,0.00010223509],"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":[0.00028395787,0.00010134596,0.9702039,0.00004708263,0.000246444,0.00024462992,0.0009790938,0.016452255,0.003028637,0.00077358616,0.00087058655,0.0067686033],"study_design_scores_gemma":[0.000011941451,0.000011155545,0.98514277,0.000008622688,0.000040229093,0.000018376217,0.00055402063,0.013413677,0.00013163895,0.00021345439,0.00044596847,0.000008182645],"about_ca_topic_score_codex":0.21132018,"about_ca_topic_score_gemma":0.30339345,"teacher_disagreement_score":0.78867984,"about_ca_system_score_codex":0.0018214823,"about_ca_system_score_gemma":0.0009806416,"threshold_uncertainty_score":0.42018026},"labels":[],"label_agreement":null},{"id":"W1964718569","doi":"10.1007/s00382-010-0824-0","title":"Statistical downscaling of sea-surface wind over the Peru–Chile upwelling region: diagnosing the impact of climate change from the IPSL-CM4 model","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Partenariat Canadien Contre Le Cancer; Agence Nationale de la Recherche","keywords":"Downscaling; Climatology; Upwelling; Environmental science; Sea surface temperature; Climate change; Oceanography; Geology","score_opus":0.027830752674194985,"score_gpt":0.27954108435126934,"score_spread":0.25171033167707435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964718569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99559,0.00010096261,0.000938032,0.00045376943,0.00002847732,0.000011349165,0.0012877238,0.00022931924,0.001360339],"genre_scores_gemma":[0.9978806,0.00006132801,0.0007546406,0.000024383457,0.000012508556,0.000011171121,0.0010173746,0.00004087676,0.00019728208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998412,0.000054116783,0.000014444132,0.000037105383,0.000025146106,0.000028016815],"domain_scores_gemma":[0.9992173,0.00027173868,0.0001063158,0.00013422003,0.00019378883,0.00007652092],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075610814,0.00049091375,0.00041966452,0.0005717057,0.00045364644,0.0007455614,0.0008248283,0.00089341664,0.0016810017],"category_scores_gemma":[0.0030535925,0.00050418236,0.00061887264,0.0010231361,0.00038676956,0.0008595167,0.0005759334,0.00076223107,0.00024749845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031446668,0.00015800152,0.106918395,0.000097503296,0.00031323652,0.0002316188,0.00013365879,0.87214154,0.005212398,0.0008814232,0.0026545809,0.0109431995],"study_design_scores_gemma":[0.0001220265,0.000037588292,0.0952554,0.000016862869,0.0000715192,0.000021695223,0.000102758764,0.9015847,0.0015012858,0.00040579797,0.00084235147,0.000038044356],"about_ca_topic_score_codex":0.07608015,"about_ca_topic_score_gemma":0.052615948,"teacher_disagreement_score":0.07608015,"about_ca_system_score_codex":0.00087635784,"about_ca_system_score_gemma":0.0013802969,"threshold_uncertainty_score":0.15127462},"labels":[],"label_agreement":null},{"id":"W1964826006","doi":"10.1007/s00382-014-2383-2","title":"Evaluation of daily precipitation statistics and monsoon onset/retreat over western Sahel in multiple data sets","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Oceanic and Atmospheric Administration; Université du Québec à Montréal; National Aeronautics and Space Administration; U.S. Department of Energy","keywords":"Climatology; Precipitation; Monsoon; Climate model; Environmental science; Atmospheric research; Climate change; Geography; Meteorology; Geology","score_opus":0.05047744343159809,"score_gpt":0.3095711464867657,"score_spread":0.2590937030551676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964826006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98237336,0.00017526261,0.0007474192,0.00005277858,0.000020641757,0.000033310596,0.015351266,0.00024076719,0.0010051938],"genre_scores_gemma":[0.94483525,0.000132473,0.002254081,0.000023835875,0.000021594544,0.00004018169,0.05225078,0.00005077809,0.00039111095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989981,0.00012835415,0.00008282646,0.00025409396,0.0003992407,0.00013746234],"domain_scores_gemma":[0.9978163,0.0005025492,0.00028290402,0.00032587122,0.00086652633,0.00020578153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017210321,0.00077221956,0.00041534982,0.0021949606,0.0005173442,0.0008662963,0.00083821977,0.00050364755,0.00052035484],"category_scores_gemma":[0.0040858127,0.00017865059,0.00047413082,0.0029058869,0.00035917788,0.00057855254,0.0005982059,0.0003955778,0.00019877467],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010345364,0.00036055822,0.822341,0.0002677538,0.0011150374,0.0004891742,0.00059309107,0.096543804,0.009519641,0.00049542496,0.0067155603,0.060524374],"study_design_scores_gemma":[0.000054611435,0.00012376497,0.928546,0.000028374465,0.000111672096,0.00008892523,0.00046227415,0.061057493,0.0044403425,0.00011880438,0.0049146996,0.00005309021],"about_ca_topic_score_codex":0.31344458,"about_ca_topic_score_gemma":0.34113047,"teacher_disagreement_score":0.31344458,"about_ca_system_score_codex":0.0013731506,"about_ca_system_score_gemma":0.0017810796,"threshold_uncertainty_score":0.62324023},"labels":[],"label_agreement":null},{"id":"W1964932624","doi":"10.1007/s00382-005-0105-5","title":"The influence of climate regime shift on ENSO","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climatology; Sea surface temperature; Wind stress; Predictability; Upwelling; Atmosphere (unit); Environmental science; Atmospheric model; Climate model; Atmospheric sciences; Geology; Climate change; Oceanography; Geography; Physics; Meteorology","score_opus":0.005831810442567031,"score_gpt":0.21811690394948557,"score_spread":0.21228509350691854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964932624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111253,0.00033452755,0.0011528708,0.0014012365,0.00008981561,0.0000053380727,0.00029282516,0.000044608732,0.005566279],"genre_scores_gemma":[0.9993605,0.00015061352,0.00008709911,0.000044028857,0.000025932595,0.0000012949628,0.000056847966,0.00001812944,0.0002555531],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997242,0.00011944688,0.000013808675,0.00005427454,0.00002410061,0.000064098684],"domain_scores_gemma":[0.9975827,0.0014677539,0.0002846961,0.00017571362,0.00018235276,0.00030685886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013728419,0.00029521933,0.0003279205,0.00039808158,0.00064116734,0.001537218,0.00042347785,0.00086218375,0.003757291],"category_scores_gemma":[0.0074195466,0.0003078264,0.000501137,0.00048214078,0.0006688502,0.0011636352,0.000897433,0.0008345986,0.00028977325],"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":[0.0024386593,0.0004868173,0.49108893,0.00023486209,0.00095228245,0.000723082,0.00086694566,0.3888636,0.024433361,0.045897435,0.006507835,0.037506215],"study_design_scores_gemma":[0.00015780302,0.000175703,0.46551985,0.000029647874,0.00025570806,0.00014518015,0.00051455124,0.5077699,0.0023764241,0.019210529,0.0037738136,0.00007088544],"about_ca_topic_score_codex":0.012489282,"about_ca_topic_score_gemma":0.0119539825,"teacher_disagreement_score":0.012489282,"about_ca_system_score_codex":0.0011166342,"about_ca_system_score_gemma":0.00060001406,"threshold_uncertainty_score":0.024833202},"labels":[],"label_agreement":null},{"id":"W1965124666","doi":"10.1007/s00382-008-0378-6","title":"An evaluation of the surface radiation budget over North America for a suite of regional climate models against surface station observations","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GLS Industries (Canada); Ouranos; Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Cloud cover; Environmental science; Cloud forcing; Overcast; Shortwave radiation; Climate model; Downwelling; Sky; Shortwave; Water vapor; Climatology; Atmospheric sciences; Meteorology; Earth's energy budget; Radiative transfer; Cloud computing; Radiation; Geology; Climate change; Geography; Physics; Upwelling; Computer science","score_opus":0.08160823610509102,"score_gpt":0.278557734542372,"score_spread":0.19694949843728096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965124666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992863,0.0002763874,0.0022405193,0.0001426813,0.00001952793,0.000030662242,0.0020518,0.000503293,0.001872215],"genre_scores_gemma":[0.99255365,0.0001308576,0.0040881713,0.000029841445,0.000010814868,0.000022564682,0.0026896738,0.000111561945,0.00036289947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99935323,0.0002984029,0.000046588808,0.00014728829,0.00011675322,0.000037780977],"domain_scores_gemma":[0.9958411,0.0026760348,0.00031461215,0.0003407879,0.0006827302,0.00014478514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033292135,0.00094758475,0.0006529136,0.0009864889,0.00061849196,0.0007883087,0.0010524888,0.0007129557,0.0016888211],"category_scores_gemma":[0.007401409,0.0004944873,0.0006813071,0.0013619745,0.00034739316,0.001226226,0.00049604446,0.0004361435,0.00026413432],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00078953523,0.0002749817,0.06490418,0.00015642798,0.0005514031,0.00015996904,0.0001360735,0.90611845,0.002961897,0.000671119,0.00217259,0.021103283],"study_design_scores_gemma":[0.00025062307,0.00019813006,0.048013613,0.000020912172,0.00018563884,0.000057015764,0.00013496564,0.9484228,0.0015028109,0.00035613688,0.00082866795,0.000028624905],"about_ca_topic_score_codex":0.11229751,"about_ca_topic_score_gemma":0.109802894,"teacher_disagreement_score":0.88770247,"about_ca_system_score_codex":0.0013991465,"about_ca_system_score_gemma":0.0011919173,"threshold_uncertainty_score":0.2232877},"labels":[],"label_agreement":null},{"id":"W1966089332","doi":"10.1007/s003820050339","title":"The Canadian Centre for Climate Modelling and Analysis global coupled model and its climate","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":603,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Climatology; Climate model; Environmental science; Transient climate simulation; Extratropical cyclone; Climate state; Forcing (mathematics); Climate change; Greenhouse gas; Climate commitment; General Circulation Model; Atmospheric sciences; Global warming; Effects of global warming; Geology","score_opus":0.01333503624635238,"score_gpt":0.2308020207350246,"score_spread":0.21746698448867222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966089332","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011683106,0.011670333,0.099840835,0.040202703,0.012482092,0.001020272,0.43419147,0.01504808,0.37386104],"genre_scores_gemma":[0.15324855,0.023106733,0.17544517,0.0054405485,0.0015082125,0.0010149032,0.28523055,0.007303231,0.34770206],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99812,0.00016626868,0.00006966232,0.00018342973,0.0011122636,0.00034837122],"domain_scores_gemma":[0.9920116,0.00028076785,0.00020686652,0.0005701389,0.006379587,0.0005509837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019252094,0.0018203433,0.0019771971,0.0020675971,0.004182677,0.004209495,0.0033902798,0.0014885276,0.037402093],"category_scores_gemma":[0.0069855866,0.00069481024,0.0013057988,0.005723597,0.001218582,0.0023442295,0.0017573695,0.002990964,0.009707941],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087424705,0.00005547891,0.0024278807,0.00038458986,0.00015828726,0.00006538922,0.00010485923,0.02114311,0.0005476565,0.033323567,0.8597236,0.08197817],"study_design_scores_gemma":[0.00016050019,0.000017167218,0.008778366,0.00024880242,0.00017001043,0.000032057484,0.00016020336,0.05723771,0.00091080036,0.016871508,0.91525215,0.00016075355],"about_ca_topic_score_codex":0.9918155,"about_ca_topic_score_gemma":0.98856646,"teacher_disagreement_score":0.9918155,"about_ca_system_score_codex":0.025067195,"about_ca_system_score_gemma":0.1079285,"threshold_uncertainty_score":0.18187606},"labels":[],"label_agreement":null},{"id":"W1968473082","doi":"10.1007/s00382-012-1600-0","title":"Real-time multi-model decadal climate predictions","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":143,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Japan Agency for Marine-Earth Science and Technology; Bundesministerium für Bildung und Forschung; National Oceanic and Atmospheric Administration; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government; Agence Nationale de la Recherche; Natural Environment Research Council; Met Office","keywords":"Climatology; Initialization; Environmental science; Forecast skill; Climate model; Climate change; Econometrics; Geology; Computer science; Oceanography; Economics","score_opus":0.01860251206476981,"score_gpt":0.26226991004333877,"score_spread":0.24366739797856896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968473082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9029649,0.0004777813,0.053496905,0.0024391524,0.000630853,0.000056178695,0.02502744,0.0037545587,0.011152115],"genre_scores_gemma":[0.98420334,0.00011520313,0.008895114,0.00009131221,0.000037566635,0.000042623495,0.0053073834,0.00016720063,0.0011402386],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986696,0.0000381298,0.000011660405,0.000042655363,0.000023178296,0.000017461958],"domain_scores_gemma":[0.99927634,0.00029128933,0.00007499772,0.00013287307,0.000155241,0.00006925553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007708788,0.0004954691,0.00042409997,0.00030338037,0.0002514729,0.00063284463,0.00084111735,0.00096687407,0.0042085717],"category_scores_gemma":[0.0019608317,0.00045622044,0.0005306127,0.00064840657,0.00019456403,0.0012056798,0.00031770472,0.0009604187,0.00087405246],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011098736,0.000060503146,0.0040413616,0.000027577027,0.000078802914,0.00003621377,0.000024299607,0.9834841,0.0009058257,0.00069709297,0.0035064055,0.0070268065],"study_design_scores_gemma":[0.000046640784,0.000018491339,0.0043519833,0.00000484737,0.000025422805,0.000011468511,0.000021282225,0.9921278,0.0008148976,0.0011860275,0.001371185,0.000019932033],"about_ca_topic_score_codex":0.018733729,"about_ca_topic_score_gemma":0.020396857,"teacher_disagreement_score":0.018733729,"about_ca_system_score_codex":0.0007098997,"about_ca_system_score_gemma":0.000801422,"threshold_uncertainty_score":0.037249386},"labels":[],"label_agreement":null},{"id":"W1968492927","doi":"10.1007/s00382-007-0269-2","title":"Hierarchical evaluation of IPCC AR4 coupled climate models with systematic consideration of model uncertainties","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Lawrence Livermore National Laboratory; Deutsche Forschungsgemeinschaft","keywords":"Forcing (mathematics); Climatology; Climate change; Climate model; Environmental science; Bayesian probability; Global warming; Bayes' theorem; Econometrics; Mathematics; Statistics; Geology","score_opus":0.03871243903967815,"score_gpt":0.2820688578924421,"score_spread":0.243356418852764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968492927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8891764,0.0010163417,0.094782084,0.000578127,0.000106356536,0.00020407928,0.0019219499,0.0013900411,0.010824501],"genre_scores_gemma":[0.9864038,0.00009970388,0.012151083,0.00005140364,0.000018512459,0.000047482372,0.0007183634,0.00011915218,0.00039052122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978956,0.0012358924,0.00015415518,0.0002001403,0.00034604137,0.00016809425],"domain_scores_gemma":[0.9869415,0.009294798,0.00067342876,0.0010590187,0.0016516268,0.00037962137],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006727165,0.0011893875,0.0012445048,0.0014355951,0.00092287763,0.0014603531,0.0015247116,0.0012839081,0.0032126294],"category_scores_gemma":[0.019351337,0.0008368121,0.0010716527,0.0011976332,0.0008525232,0.0022478462,0.0018765265,0.0007805709,0.00023881001],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001648674,0.000027901722,0.0016070114,0.000038650323,0.000055477405,0.000025870273,0.000021401114,0.99211967,0.00030057546,0.0010483848,0.000211613,0.004378639],"study_design_scores_gemma":[0.00002061655,0.000033417946,0.00059501483,0.000004073675,0.000022929979,0.000002277751,0.000013173557,0.99783,0.0003035926,0.0011161818,0.00005274984,0.000005905541],"about_ca_topic_score_codex":0.038820725,"about_ca_topic_score_gemma":0.050034285,"teacher_disagreement_score":0.038820725,"about_ca_system_score_codex":0.0030206104,"about_ca_system_score_gemma":0.0029461628,"threshold_uncertainty_score":0.077189505},"labels":[],"label_agreement":null},{"id":"W1968677830","doi":"10.1007/s00382-014-2076-x","title":"A generalized conditional heteroscedastic model for temperature downscaling","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Heteroscedasticity; Conditional variance; Mathematics; Covariance; Econometrics; Autoregressive model; Series (stratigraphy); Autoregressive conditional heteroskedasticity; Statistics; Volatility (finance)","score_opus":0.014547944308654125,"score_gpt":0.24659958783044283,"score_spread":0.2320516435217887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968677830","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":[0.021439664,0.00031747957,0.97454935,0.0005853784,0.00012489162,0.00003558813,0.00070562656,0.00049064757,0.0017513761],"genre_scores_gemma":[0.81397015,0.0009111386,0.160891,0.00051421724,0.00030834298,0.00031341249,0.002390125,0.00067357265,0.020028092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985638,0.00058641285,0.00007198437,0.00045415168,0.0001614582,0.00016223705],"domain_scores_gemma":[0.9963586,0.0021829256,0.00039143648,0.00041360164,0.00049671275,0.0001567363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003626615,0.00095549296,0.0017552852,0.0007051468,0.00078657945,0.001857723,0.0042575374,0.0021175153,0.0049039484],"category_scores_gemma":[0.010150643,0.0010589337,0.0016620418,0.0016168493,0.0015181423,0.0024894185,0.0016623329,0.0026094315,0.00076697255],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060117516,0.000019615674,0.00064700196,0.000037802092,0.000073333074,0.000056372133,0.000052276653,0.911091,0.0004943276,0.0788253,0.00134472,0.007298033],"study_design_scores_gemma":[0.00000785001,0.0000060077437,0.00014498449,0.0000035466007,0.00001089521,0.000009917638,0.0000032036346,0.98088616,0.00006592747,0.01847943,0.00036918916,0.000012837302],"about_ca_topic_score_codex":0.029526114,"about_ca_topic_score_gemma":0.025237372,"teacher_disagreement_score":0.029526114,"about_ca_system_score_codex":0.0014608727,"about_ca_system_score_gemma":0.002533348,"threshold_uncertainty_score":0.05870849},"labels":[],"label_agreement":null},{"id":"W1968728830","doi":"10.1007/s00382-013-1988-1","title":"Interdecadal change in the Northern Hemisphere seasonal climate prediction skill: part I. The leading forced mode of atmospheric circulation","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; European Commission; National Center for Atmospheric Research","keywords":"Climatology; Atmospheric circulation; Environmental science; Northern Hemisphere; Circulation (fluid dynamics); Mode (computer interface); General Circulation Model; Climate change; Atmospheric sciences; Geology; Oceanography","score_opus":0.013540923391731408,"score_gpt":0.2405225769709975,"score_spread":0.22698165357926608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968728830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935214,0.00047584437,0.0008312814,0.00081617536,0.000074634314,0.0000042697634,0.0018607617,0.000051760137,0.002363853],"genre_scores_gemma":[0.9978648,0.00014760315,0.000202028,0.0000550213,0.000022510538,0.000004292406,0.0010206888,0.000009982001,0.00067318266],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997991,0.000048216254,0.000017221113,0.00006652624,0.000026124502,0.00004296376],"domain_scores_gemma":[0.99889827,0.00040142768,0.00020212386,0.00018520247,0.00020300668,0.00010996957],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010453187,0.00020200862,0.00013502689,0.0002662054,0.00021834217,0.00061943027,0.00031872556,0.000440651,0.0022296591],"category_scores_gemma":[0.003229602,0.00016018939,0.00048165637,0.0004821148,0.00030075567,0.0006429912,0.0006186285,0.00058554695,0.00035293036],"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":[0.00041536705,0.00017084372,0.9135908,0.00006063365,0.0004956542,0.00018663393,0.00030367204,0.040584013,0.0033337304,0.0035800906,0.0054662977,0.031812347],"study_design_scores_gemma":[0.000019035415,0.00003608631,0.9587027,0.000021096603,0.00006149966,0.00004957837,0.00016491725,0.036829267,0.00068433327,0.0012610833,0.0021582393,0.000012085174],"about_ca_topic_score_codex":0.025999852,"about_ca_topic_score_gemma":0.03501481,"teacher_disagreement_score":0.025999852,"about_ca_system_score_codex":0.0005151827,"about_ca_system_score_gemma":0.0005906274,"threshold_uncertainty_score":0.051697016},"labels":[],"label_agreement":null},{"id":"W1969827307","doi":"10.1007/s00382-014-2098-4","title":"Comparison of statistically downscaled precipitation in terms of future climate indices and daily variability for southern Ontario and Quebec, Canada","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; University of British Columbia","funders":"","keywords":"Downscaling; Climatology; Precipitation; Environmental science; Climate model; Climate change; Context (archaeology); Meteorology; Geography; Geology","score_opus":0.006905666516021413,"score_gpt":0.23692257698763008,"score_spread":0.23001691047160866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969827307","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98658586,0.00036655506,0.00050010247,0.00033723516,0.000022678034,0.000015775093,0.00831574,0.00006925502,0.003786809],"genre_scores_gemma":[0.9922693,0.00018512516,0.00047611474,0.000044488883,0.0000072173584,0.000010436658,0.005300125,0.000023020626,0.0016841866],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997695,0.00002637388,0.000014613459,0.000059793423,0.000074017196,0.0000556127],"domain_scores_gemma":[0.9987704,0.0001613446,0.00011186698,0.00005640598,0.00076734414,0.00013255855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004231463,0.00027796364,0.00025275772,0.00070762483,0.0009356942,0.001104325,0.0006351643,0.0002828519,0.0021454764],"category_scores_gemma":[0.0018492329,0.00016749025,0.0004524724,0.002051124,0.0003951619,0.0003523783,0.00035666107,0.00032161956,0.00019095204],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005256941,0.00007751911,0.87255394,0.000109095745,0.00047332846,0.00029331166,0.0008946589,0.08248491,0.0028972481,0.0018159515,0.012519562,0.025354784],"study_design_scores_gemma":[0.000021361704,0.000009383983,0.97885716,0.000013492961,0.00003699828,0.000017138344,0.00041207488,0.017116988,0.00020144365,0.00008949781,0.0032007073,0.000023888158],"about_ca_topic_score_codex":0.9961767,"about_ca_topic_score_gemma":0.99799466,"teacher_disagreement_score":0.021709362,"about_ca_system_score_codex":0.021709362,"about_ca_system_score_gemma":0.013294752,"threshold_uncertainty_score":0.15751314},"labels":[],"label_agreement":null},{"id":"W1969831051","doi":"10.1007/s00382-009-0558-z","title":"Effect of the large-scale atmospheric circulation on the variability of the Arctic Ocean freshwater export","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sea ice; Environmental science; Ocean gyre; Climatology; Arctic sea ice decline; Arctic; Arctic ice pack; Outflow; Oceanography; Atmospheric sciences; Sea ice thickness; Geology; Subtropics","score_opus":0.004158866725189542,"score_gpt":0.1941304457967528,"score_spread":0.18997157907156326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969831051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973074,0.00013550125,0.0003646433,0.0004397641,0.000046475612,0.0000034893362,0.0003501709,0.000035961762,0.0013165693],"genre_scores_gemma":[0.9993309,0.000092753035,0.00006845354,0.000037320504,0.00003206581,0.000002672351,0.00019568724,0.000017104148,0.00022313537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998337,0.00004403118,0.000015173427,0.00004980815,0.00001574869,0.00004153237],"domain_scores_gemma":[0.99844724,0.00091921666,0.00013545936,0.0001144282,0.00014732283,0.00023639068],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007616677,0.00038097962,0.00049408444,0.0003597989,0.00093388796,0.0014120796,0.00030188554,0.0009038036,0.002084109],"category_scores_gemma":[0.0028108386,0.00039839494,0.00096908695,0.00046280096,0.00077255256,0.0008304078,0.0008758106,0.0008633248,0.0002223907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026515543,0.00045457087,0.6483646,0.00019781159,0.0012178372,0.0012052415,0.00034069628,0.22628176,0.096430175,0.0047036465,0.0027185958,0.015433581],"study_design_scores_gemma":[0.00012726753,0.00011895015,0.90795,0.000013084737,0.00014705259,0.00011076594,0.00013018213,0.08787733,0.0018843206,0.0007386636,0.00085466163,0.000047728558],"about_ca_topic_score_codex":0.029839007,"about_ca_topic_score_gemma":0.024278745,"teacher_disagreement_score":0.029839007,"about_ca_system_score_codex":0.0009802964,"about_ca_system_score_gemma":0.0008649798,"threshold_uncertainty_score":0.059330642},"labels":[],"label_agreement":null},{"id":"W1971521848","doi":"10.1007/s00382-013-1954-y","title":"Interpreting observed northern hemisphere snow trends with large ensembles of climate simulations","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Northern Hemisphere; Snow; Environmental science; Climate model; Precipitation; Climate change; Atmospheric sciences; Meteorology; Geography; Geology; Oceanography","score_opus":0.011545066373765369,"score_gpt":0.22482315256540683,"score_spread":0.21327808619164146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1971521848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99331796,0.00013602964,0.003502623,0.00032711864,0.000065894405,0.000011912761,0.0010652568,0.00022788654,0.001345365],"genre_scores_gemma":[0.99647164,0.00007510672,0.0024577908,0.000028644974,0.000038298655,0.00001188226,0.000725972,0.000053029,0.00013770585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997762,0.00010011671,0.000020152846,0.000053795175,0.000021797612,0.000027976492],"domain_scores_gemma":[0.9986191,0.0007839808,0.000116075375,0.00025375956,0.00012488475,0.00010226973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012368825,0.00047806112,0.0004280613,0.0005261096,0.00054178585,0.0011266153,0.0005733862,0.00085397443,0.0009088433],"category_scores_gemma":[0.004723829,0.0005153912,0.00083339785,0.0008038522,0.00033304724,0.0014913965,0.00048999884,0.0006568779,0.00016715965],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027680068,0.00014099384,0.1065043,0.000060267503,0.00065568753,0.0002441635,0.00022982802,0.87283486,0.0040649334,0.0009837904,0.0021213829,0.011883045],"study_design_scores_gemma":[0.00006494288,0.000032974185,0.05027376,0.000011421098,0.0001427706,0.000027366297,0.00016393994,0.94515413,0.0011506384,0.0020282636,0.00092411746,0.00002570257],"about_ca_topic_score_codex":0.032611474,"about_ca_topic_score_gemma":0.04425902,"teacher_disagreement_score":0.032611474,"about_ca_system_score_codex":0.0009153216,"about_ca_system_score_gemma":0.00083524827,"threshold_uncertainty_score":0.06484336},"labels":[],"label_agreement":null},{"id":"W1972426308","doi":"10.1007/s00382-003-0316-6","title":"A 1600-year history of the Labrador Current off Nova Scotia","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":78,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Oceanography; Foraminifera; Archipelago; Geology; Sea surface temperature; Benthic zone","score_opus":0.020605397619521477,"score_gpt":0.2405668329426532,"score_spread":0.21996143532313173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972426308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97509956,0.0033601348,0.00006175664,0.0009934457,0.00008415692,0.000024976793,0.0025126485,0.000008560763,0.017854692],"genre_scores_gemma":[0.9888446,0.0014848361,0.0000855235,0.00024394602,0.000037746995,0.000008569475,0.001280863,0.000008091084,0.008005882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999113,0.0000062847907,0.000008097669,0.000014687113,0.000021401172,0.00003820706],"domain_scores_gemma":[0.99927014,0.000054712877,0.00019233677,0.000023016351,0.0002834981,0.00017624079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019985772,0.000120873265,0.00016932437,0.0014223468,0.0014186132,0.0010044742,0.00032503615,0.0005360114,0.0036132894],"category_scores_gemma":[0.0011894158,0.00013621157,0.00009677668,0.0019648364,0.00058772473,0.00060072413,0.0010818301,0.00047408065,0.00038714806],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006974513,0.00011654402,0.84010875,0.00093751226,0.00017247726,0.008410987,0.039309233,0.00073308666,0.011310408,0.0029925886,0.013612355,0.08159866],"study_design_scores_gemma":[0.0000024615322,0.00001209166,0.974477,0.00008425901,0.0000073155356,0.00017337964,0.002696115,0.000042540978,0.000073838084,0.000036191686,0.022388667,0.0000060738735],"about_ca_topic_score_codex":0.7757389,"about_ca_topic_score_gemma":0.9392095,"teacher_disagreement_score":0.2242611,"about_ca_system_score_codex":0.0034738372,"about_ca_system_score_gemma":0.0030244498,"threshold_uncertainty_score":0.4511636},"labels":[],"label_agreement":null},{"id":"W1972645308","doi":"10.1007/s00382-011-1168-0","title":"Artificial neural network assisted Bayesian calibration of climate models","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Calibration; Markov chain Monte Carlo; Computer science; Bayesian probability; Artificial neural network; Probabilistic logic; Parametric statistics; Downscaling; Climate model; Machine learning; Statistics; Artificial intelligence; Meteorology; Climate change; Mathematics","score_opus":0.037666883017848755,"score_gpt":0.23603746908588616,"score_spread":0.1983705860680374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972645308","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14016883,0.00041533314,0.85177577,0.00054098334,0.00015613824,0.000039554805,0.00034578203,0.0014194988,0.0051382408],"genre_scores_gemma":[0.90305084,0.00013962465,0.09388793,0.0000847032,0.000049120397,0.000067989116,0.00044140193,0.00020223894,0.0020761483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947256,0.00025657576,0.00003117813,0.00010243496,0.00010525037,0.000031999632],"domain_scores_gemma":[0.9973699,0.0014311447,0.00021340196,0.00027113952,0.00065489276,0.000059558162],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022830463,0.0004868066,0.00057930656,0.00080346206,0.00049532106,0.0008685854,0.0012083311,0.0011603737,0.0018223346],"category_scores_gemma":[0.010834412,0.00062899286,0.00044341266,0.0007505704,0.00044806715,0.0013897311,0.0009690209,0.0017314341,0.00044983832],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000035839646,0.000018331706,0.00055159745,0.000010991522,0.000024296292,0.000008245218,0.000013364535,0.9789074,0.00045397272,0.0017669804,0.000326454,0.01788256],"study_design_scores_gemma":[0.0000023946568,0.0000017984856,0.0001332821,0.0000016582194,0.000001934896,0.0000016399747,9.4454924e-7,0.998197,0.0001449838,0.0014368244,0.00007498334,0.0000025490817],"about_ca_topic_score_codex":0.009794063,"about_ca_topic_score_gemma":0.0124229435,"teacher_disagreement_score":0.009794063,"about_ca_system_score_codex":0.0011338984,"about_ca_system_score_gemma":0.0012877377,"threshold_uncertainty_score":0.01947409},"labels":[],"label_agreement":null},{"id":"W1972685339","doi":"10.1007/s00382-006-0110-3","title":"Changes in winter cyclone frequencies and strengths simulated in enhanced greenhouse warming experiments: results from the models participating in the IPCC diagnostic exercise","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":233,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Lawrence Livermore National Laboratory","keywords":"Environmental science; Climatology; Greenhouse gas; Storm; Climate change; Cyclone (programming language); Atmospheric sciences; Global warming; Forcing (mathematics); Wind speed; Climate model; Latitude; Meteorology; Geology; Geography","score_opus":0.021070089636835283,"score_gpt":0.2590606702214353,"score_spread":0.23799058058460001,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972685339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99773943,0.000031319778,0.0004851328,0.000052123545,0.000009718992,0.0000059588324,0.0012179174,0.000046902584,0.00041145502],"genre_scores_gemma":[0.9985833,0.000023363002,0.00037932946,0.000012287954,0.0000045536035,0.0000101913865,0.00085061486,0.00001258761,0.00012383674],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986637,0.0000525908,0.000010016418,0.000036512858,0.000013821997,0.000020669819],"domain_scores_gemma":[0.99910647,0.0005558329,0.0000955388,0.0000871303,0.00008776193,0.00006723013],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006913409,0.00055235595,0.00030998868,0.00028535057,0.00028659028,0.00040430858,0.00045709693,0.00066724676,0.00089264585],"category_scores_gemma":[0.0015876597,0.00032546095,0.00061933644,0.0003913131,0.0003007901,0.0006340418,0.0002677931,0.0005881162,0.00011666164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002294015,0.0004533821,0.1610323,0.000114655406,0.00043953,0.00016175574,0.00019030442,0.80828655,0.016616516,0.0014279517,0.0019766225,0.0070063593],"study_design_scores_gemma":[0.0007918634,0.00039537915,0.23630337,0.000013827423,0.0002504765,0.00007700764,0.00016010589,0.74230635,0.017256187,0.0013573258,0.0010041367,0.000083971965],"about_ca_topic_score_codex":0.013866015,"about_ca_topic_score_gemma":0.013839684,"teacher_disagreement_score":0.013866015,"about_ca_system_score_codex":0.00060574856,"about_ca_system_score_gemma":0.00025360862,"threshold_uncertainty_score":0.027570605},"labels":[],"label_agreement":null},{"id":"W1972946271","doi":"10.1007/s00382-012-1415-z","title":"Potential for small scale added value of RCM’s downscaled climate change signal","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":130,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"National Oceanic and Atmospheric Administration; Canadian Foundation for Climate and Atmospheric Sciences; Fonds Québécois de la Recherche sur la Nature et les Technologies; U.S. Environmental Protection Agency; U.S. Department of Energy; Office of Research and Development; National Science Foundation","keywords":"Downscaling; Climatology; Scale (ratio); Climate model; Hindcast; Environmental science; Climate change; SIGNAL (programming language); Precipitation; Computer science; Meteorology; Geography; Geology","score_opus":0.021076561264603787,"score_gpt":0.24141389782332853,"score_spread":0.22033733655872476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972946271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7946099,0.002283268,0.14783497,0.013002493,0.0013380464,0.00020180896,0.0019533003,0.002126471,0.036649723],"genre_scores_gemma":[0.9840553,0.00023910064,0.014271288,0.00031574682,0.00015226148,0.000028412038,0.00026618285,0.0001805298,0.0004912089],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99786645,0.0009942811,0.00012279677,0.00039941305,0.00048628802,0.00013077635],"domain_scores_gemma":[0.98345387,0.011494581,0.0006295709,0.0031248552,0.0011301022,0.0001670166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0069603208,0.0010033639,0.0006873191,0.000759903,0.00041541416,0.001896345,0.0014718405,0.0013114512,0.0017113637],"category_scores_gemma":[0.03751525,0.00048589054,0.0010327682,0.0011648446,0.0011751234,0.002944744,0.0015037582,0.001830575,0.00026663367],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001128756,0.00023421804,0.056128755,0.00057459873,0.0011384294,0.0009307279,0.0005394459,0.66738176,0.024542032,0.0912868,0.0043824553,0.15173206],"study_design_scores_gemma":[0.00012753505,0.0002704081,0.034663156,0.00009885746,0.00022543123,0.00014487076,0.00018594592,0.87455845,0.011978484,0.062372386,0.015246989,0.00012751887],"about_ca_topic_score_codex":0.00443305,"about_ca_topic_score_gemma":0.0024452854,"teacher_disagreement_score":0.0069603208,"about_ca_system_score_codex":0.0011276025,"about_ca_system_score_gemma":0.0006609005,"threshold_uncertainty_score":0.0368101},"labels":[],"label_agreement":null},{"id":"W1972972676","doi":"10.1007/s00382-011-1202-2","title":"Dynamical seasonal prediction using the global environmental multiscale model with a variable resolution modeling approach","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Anomaly (physics); Geopotential height; Environmental science; Sea surface temperature; Variable (mathematics); Forecast skill; Grid; Horizontal resolution; Geopotential; Meteorology; Geology; Geography; Geodesy; Mathematics; Precipitation","score_opus":0.02978749960854394,"score_gpt":0.21656893569397972,"score_spread":0.1867814360854358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972972676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70002997,0.00039125918,0.28972816,0.000906163,0.00022410015,0.000029132534,0.0008128946,0.0007912322,0.007087201],"genre_scores_gemma":[0.9812378,0.00009796855,0.017698692,0.00003750291,0.000048442707,0.000024818564,0.00022401838,0.00007430159,0.0005563948],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999378,0.000020489493,0.0000039882693,0.000018241502,0.000011015684,0.000008613752],"domain_scores_gemma":[0.9997781,0.000092272305,0.000031229803,0.00003116738,0.00003603916,0.000031203366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025055365,0.00027097293,0.00041036238,0.0002011098,0.00028893654,0.00047298474,0.0005736429,0.00054911873,0.0009877147],"category_scores_gemma":[0.001115724,0.00035603397,0.000501278,0.00032684684,0.00020343358,0.00073477067,0.00038378793,0.00051477575,0.00009798908],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020363103,0.000019407458,0.0013918496,0.000007834752,0.00003080901,0.000021893056,0.000010142839,0.9905979,0.0012206187,0.0023103685,0.0003488168,0.00402],"study_design_scores_gemma":[0.0000032066573,0.0000013405022,0.00020030173,2.6505077e-7,0.0000018245213,9.0009337e-7,5.9006874e-7,0.9994418,0.000032637483,0.00027992873,0.00003569336,0.0000014685908],"about_ca_topic_score_codex":0.01660828,"about_ca_topic_score_gemma":0.0109741315,"teacher_disagreement_score":0.01660828,"about_ca_system_score_codex":0.0004020615,"about_ca_system_score_gemma":0.00051969336,"threshold_uncertainty_score":0.03302318},"labels":[],"label_agreement":null},{"id":"W1973218015","doi":"10.1007/s003820000081","title":"The seasonal cycle in coupled ocean-atmosphere general circulation models","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":73,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"U.S. Department of Energy; National Science Foundation","keywords":"Flux (metallurgy); Climatology; Atmosphere (unit); Annual cycle; Latitude; Environmental science; Climate model; Atmospheric sciences; Magnitude (astronomy); Diurnal cycle; Coupled model intercomparison project; Sea surface temperature; Meteorology; Climate change; Geology; Geography; Physics; Geodesy; Oceanography; Chemistry","score_opus":0.008769988498372716,"score_gpt":0.21864232529941063,"score_spread":0.20987233680103792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1973218015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6760674,0.0038665766,0.29535252,0.0029453032,0.0008660195,0.00006683406,0.0029596323,0.0011321111,0.016743515],"genre_scores_gemma":[0.9858802,0.0011166877,0.008810498,0.00011645056,0.00014173647,0.000042736934,0.00071634847,0.00023245678,0.0029428843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983,0.000086204935,0.000011281205,0.000034800032,0.00002037377,0.000017202736],"domain_scores_gemma":[0.9994351,0.0003307634,0.00006719635,0.000058598183,0.000066352084,0.00004191995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064165547,0.00035064662,0.0005343258,0.0003397752,0.0005068661,0.0011188516,0.00073652994,0.0008780048,0.00154891],"category_scores_gemma":[0.004369255,0.0005942029,0.00037854354,0.00086372136,0.000522988,0.0015719907,0.000678343,0.0006775028,0.00023905194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000059152637,0.000020813617,0.0035066488,0.000028696479,0.000056072407,0.000027693126,0.000037050675,0.97018796,0.00054561044,0.015111207,0.0019799315,0.008439167],"study_design_scores_gemma":[0.000008971606,0.0000037574143,0.0005315121,0.0000022521397,0.0000069619055,0.0000027405074,0.0000053538047,0.9929979,0.000051214487,0.0059112627,0.00047448554,0.0000035838318],"about_ca_topic_score_codex":0.027651168,"about_ca_topic_score_gemma":0.023324756,"teacher_disagreement_score":0.027651168,"about_ca_system_score_codex":0.0008410797,"about_ca_system_score_gemma":0.0008768619,"threshold_uncertainty_score":0.054980397},"labels":[],"label_agreement":null},{"id":"W1975636835","doi":"10.1007/s00382-012-1384-2","title":"Potential for added value in temperature simulated by high-resolution nested RCMs in present climate and in the climate change signal","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"National Oceanic and Atmospheric Administration; Canadian Foundation for Climate and Atmospheric Sciences; Fonds Québécois de la Recherche sur la Nature et les Technologies; U.S. Environmental Protection Agency; U.S. Department of Energy; Office of Research and Development; National Science Foundation","keywords":"Downscaling; Climatology; Climate model; Environmental science; Climate change; Scale (ratio); Nested set model; Greenhouse gas; Atmospheric sciences; Geology; Computer science; Geography","score_opus":0.01406798196158481,"score_gpt":0.24274134511784948,"score_spread":0.22867336315626466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1975636835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9817706,0.00021096326,0.015525364,0.00034720302,0.000035472214,0.000017238257,0.00023616312,0.00013001583,0.0017270856],"genre_scores_gemma":[0.9973687,0.000028717364,0.0023359223,0.000016957098,0.000008159634,0.0000054704915,0.00010901561,0.000020802561,0.00010618643],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998648,0.00078636606,0.00006656795,0.00023216776,0.00017107096,0.00009584998],"domain_scores_gemma":[0.991282,0.006822581,0.0004462498,0.00087542617,0.00038504426,0.00018872118],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045084935,0.00046470205,0.0004279091,0.000843727,0.00027596523,0.0014501846,0.0008627915,0.0009423986,0.00055561255],"category_scores_gemma":[0.018669065,0.00041551358,0.00097183447,0.0008809831,0.00084539567,0.0018553062,0.00088073086,0.0007982034,0.00008480587],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039544934,0.0000802414,0.07019243,0.00008774536,0.00031158578,0.0003083758,0.0001548887,0.9034028,0.004254602,0.008282305,0.00028797713,0.012241756],"study_design_scores_gemma":[0.000017885826,0.000032217522,0.022046302,0.000013660778,0.00004988092,0.00004631353,0.000036582762,0.97250855,0.0011522052,0.00377195,0.00029415952,0.000030226936],"about_ca_topic_score_codex":0.0037393067,"about_ca_topic_score_gemma":0.0039159413,"teacher_disagreement_score":0.0045084935,"about_ca_system_score_codex":0.0008896378,"about_ca_system_score_gemma":0.00037444723,"threshold_uncertainty_score":0.023843467},"labels":[],"label_agreement":null},{"id":"W1977245868","doi":"10.1007/s00382-013-1992-5","title":"Revisiting meridional overturing bistability using a minimal set of state variables: stochastic theory","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Australian Research Council; Natural Environment Research Council; Sight Research UK; University of Victoria","keywords":"Forcing (mathematics); Climatology; Variable (mathematics); Climate model; Stability (learning theory); State variable; Observable; Range (aeronautics); Thermohaline circulation; Environmental science; Statistical physics; Climate change; Physics; Geology; Mathematics; Thermodynamics; Computer science; Oceanography; Mathematical analysis","score_opus":0.020868650105557204,"score_gpt":0.25476334395186057,"score_spread":0.23389469384630335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977245868","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":[0.17405485,0.00039558744,0.81787616,0.0010335875,0.000087666325,0.000021044894,0.000223775,0.00010958229,0.0061978656],"genre_scores_gemma":[0.96775067,0.00030907118,0.029095491,0.00014463042,0.00013718508,0.000030429555,0.00016126767,0.000070273396,0.0023009821],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996018,0.000120307915,0.000024918289,0.000105060295,0.00008432321,0.00006355084],"domain_scores_gemma":[0.9956227,0.0032327017,0.00040713602,0.00033736866,0.00024998622,0.00015019564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015231268,0.0005824757,0.0011873607,0.00076888734,0.0005289584,0.0015568584,0.0012493292,0.0008116776,0.0021045504],"category_scores_gemma":[0.006832832,0.00050522777,0.0010980295,0.00039807777,0.0017656124,0.0027929777,0.0015850299,0.0016529245,0.00009343844],"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":[0.0000714855,0.00005197731,0.0022755614,0.00011120855,0.00008578228,0.00010114989,0.00007154102,0.3795251,0.00292757,0.60294515,0.0006124421,0.011221016],"study_design_scores_gemma":[0.00000631987,0.000013907593,0.00044463808,0.000010135664,0.000011040776,0.000011440893,0.000008255338,0.8377801,0.00019847856,0.16131516,0.00019310505,0.0000074186637],"about_ca_topic_score_codex":0.0034446372,"about_ca_topic_score_gemma":0.003464314,"teacher_disagreement_score":0.0034446372,"about_ca_system_score_codex":0.0008435068,"about_ca_system_score_gemma":0.0011132238,"threshold_uncertainty_score":0.0080551505},"labels":[],"label_agreement":null},{"id":"W1977476328","doi":"10.1007/s00382-008-0504-5","title":"Trends and variability of storminess in the Northeast Atlantic region, 1874–2007","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Seasonality; Period (music); Oceanography; Environmental science; Geology; Ecology","score_opus":0.016937660359698424,"score_gpt":0.227404873437864,"score_spread":0.21046721307816557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977476328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934894,0.00035035345,0.00014729338,0.0002849182,0.00002441835,0.0000024405394,0.004715106,0.000017532111,0.00096849323],"genre_scores_gemma":[0.99425757,0.00029792852,0.00011572876,0.000041347877,0.000027837701,0.000004375684,0.004411858,0.000005900301,0.0008374284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986875,0.000012864616,0.000018120507,0.00003461492,0.000032355372,0.000033377986],"domain_scores_gemma":[0.9991887,0.0000877146,0.0003782297,0.000044414053,0.0002429572,0.00005793712],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003783076,0.00013191425,0.00015956024,0.0006491554,0.0002758892,0.0005584299,0.00029583438,0.0002798487,0.0008233238],"category_scores_gemma":[0.0013307078,0.00013159878,0.0003329104,0.0014856169,0.0002464581,0.0003934917,0.00041016546,0.00032988025,0.00018784041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000943911,0.000013427781,0.99113864,0.000029019142,0.00013835641,0.000048068894,0.00032070588,0.0019251265,0.0005015361,0.00013899874,0.0017747778,0.0038769406],"study_design_scores_gemma":[0.0000018169014,0.0000056182416,0.99750465,0.0000047641583,0.000017661268,0.000022075426,0.00008450151,0.00093685335,0.000050550243,0.00001908717,0.0013499684,0.0000024251601],"about_ca_topic_score_codex":0.18767706,"about_ca_topic_score_gemma":0.36922398,"teacher_disagreement_score":0.18767706,"about_ca_system_score_codex":0.0014985015,"about_ca_system_score_gemma":0.0009780225,"threshold_uncertainty_score":0.3731693},"labels":[],"label_agreement":null},{"id":"W1978534941","doi":"10.1007/s00382-014-2157-x","title":"Multi-site, multivariate weather generator using maximum entropy bootstrap","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multivariate statistics; Extrapolation; Principle of maximum entropy; Environmental science; Statistics; Mathematics; Climatology; Geology","score_opus":0.016616634160906724,"score_gpt":0.25848236767862987,"score_spread":0.24186573351772314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978534941","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.03376227,0.00003394086,0.9623584,0.00007077413,0.00003650471,0.00007529312,0.00038901443,0.0024193197,0.0008544385],"genre_scores_gemma":[0.59355515,0.00003458856,0.40235522,0.00004268975,0.000057829882,0.00024551427,0.0017034594,0.0005625256,0.0014430673],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994992,0.00022738482,0.00003297098,0.00010389915,0.000100746496,0.000035692246],"domain_scores_gemma":[0.9975074,0.0012941929,0.00013310926,0.0005728276,0.00038227823,0.00011023039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018776316,0.0004902133,0.00070835784,0.0008886996,0.00048255685,0.0005267582,0.0013662616,0.00093226414,0.0052162246],"category_scores_gemma":[0.0085093435,0.0005019904,0.0006386391,0.000852472,0.0003684616,0.0013235367,0.0011295538,0.0011969637,0.0014854458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005823082,0.00019419633,0.004625349,0.00008154957,0.00011435327,0.00023572434,0.00009482805,0.77062625,0.0053413017,0.020328183,0.0042512543,0.19352469],"study_design_scores_gemma":[0.000010340396,0.0000070750602,0.0002320032,0.0000016572332,0.0000028790391,0.000012046474,0.0000018555636,0.9952362,0.00051832566,0.0038164016,0.0001568781,0.000004218101],"about_ca_topic_score_codex":0.0013307623,"about_ca_topic_score_gemma":0.0022717447,"teacher_disagreement_score":0.0052162246,"about_ca_system_score_codex":0.00037339976,"about_ca_system_score_gemma":0.00059934787,"threshold_uncertainty_score":0.017449975},"labels":[],"label_agreement":null},{"id":"W1979074586","doi":"10.1007/s00382-004-0446-5","title":"A method for obtaining pre-twentieth century initial conditions for use in climate change studies","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Initialization; Radiative forcing; Climatology; Forcing (mathematics); Climate change; Environmental science; Climate model; Radiative transfer; Meteorology; Computer science; Geology; Physics; Oceanography","score_opus":0.0930071884275997,"score_gpt":0.3787009231504609,"score_spread":0.2856937347228612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979074586","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004760038,0.00004405949,0.99100316,0.000040646173,0.000059706817,0.00007147592,0.00039826834,0.0007346015,0.0028880693],"genre_scores_gemma":[0.052891765,0.00012572673,0.93995786,0.000034081015,0.000025551124,0.00057246326,0.0010153301,0.00044074113,0.0049365656],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977547,0.00006557062,0.000021618049,0.00005517704,0.00005669595,0.000025439074],"domain_scores_gemma":[0.99870896,0.0004231038,0.00010418079,0.00024543912,0.0004725924,0.000045714627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011287938,0.00052208593,0.00041198338,0.001398864,0.0013437637,0.000829924,0.0009367147,0.0007508608,0.009777558],"category_scores_gemma":[0.005561087,0.0005485498,0.0006096221,0.0015668627,0.00033797056,0.0008457498,0.0010426467,0.0013993431,0.0029780522],"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":[0.00034963453,0.00020573664,0.010700577,0.00035483038,0.00019639991,0.00038825968,0.001152819,0.18282492,0.029017163,0.12015367,0.02076384,0.6338922],"study_design_scores_gemma":[0.00035219546,0.00016183163,0.011246527,0.00019980299,0.00017768997,0.00052820955,0.0004963996,0.6987195,0.04161211,0.10523691,0.14101472,0.0002541687],"about_ca_topic_score_codex":0.009828102,"about_ca_topic_score_gemma":0.017495561,"teacher_disagreement_score":0.009828102,"about_ca_system_score_codex":0.0004575036,"about_ca_system_score_gemma":0.0014530717,"threshold_uncertainty_score":0.03270912},"labels":[],"label_agreement":null},{"id":"W1979425827","doi":"10.1007/s003820000119","title":"A neural network atmospheric model for hybrid coupled modelling","year":2001,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Wind stress; Climatology; Sea surface temperature; Environmental science; Atmosphere (unit); Pacific ocean; Atmospheric model; Ocean current; Ocean heat content; Wind speed; Geology; Atmospheric sciences; Oceanography; Meteorology; Geography","score_opus":0.02301267139951356,"score_gpt":0.23599387986630005,"score_spread":0.21298120846678648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1979425827","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.082720175,0.00067882956,0.89994144,0.00063117803,0.00041489524,0.00007765551,0.0011835006,0.0020415306,0.012310867],"genre_scores_gemma":[0.8233709,0.0004986569,0.16272953,0.0001596939,0.00022196119,0.00025314168,0.00083955226,0.00027506377,0.011651515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989045,0.000028931776,0.0000075050866,0.000031145653,0.000028515682,0.000013447931],"domain_scores_gemma":[0.9997626,0.000110608846,0.000019508248,0.000026420825,0.00006169739,0.000019076142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034256064,0.00039233768,0.000565657,0.00026568814,0.0005898204,0.0006550527,0.0012637211,0.0011337197,0.003124486],"category_scores_gemma":[0.0013095109,0.0004192948,0.0004550809,0.00054070563,0.00035982789,0.0011275928,0.00095702073,0.0010926896,0.00058423827],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031943167,0.000017027942,0.00025963283,0.0000151384365,0.000029177847,0.000018421815,0.000010279142,0.98342746,0.000569224,0.0031145576,0.0006219884,0.01188517],"study_design_scores_gemma":[0.00000388167,0.0000024081596,0.000045526645,6.599742e-7,0.0000035574105,0.0000015494618,5.005534e-7,0.99877125,0.000054016098,0.00089547323,0.0002192828,0.0000019386623],"about_ca_topic_score_codex":0.023898242,"about_ca_topic_score_gemma":0.020636166,"teacher_disagreement_score":0.023898242,"about_ca_system_score_codex":0.00057071727,"about_ca_system_score_gemma":0.00071198883,"threshold_uncertainty_score":0.047518253},"labels":[],"label_agreement":null},{"id":"W1980183533","doi":"10.1007/s00382-006-0118-8","title":"The nonlinear association between the Arctic Oscillation and North American winter climate","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Northwestern University","keywords":"Arctic oscillation; Climatology; North Atlantic oscillation; Geopotential height; Anomaly (physics); Antarctic oscillation; Arctic; Geology; Extratropical cyclone; Latitude; Northern Hemisphere; Environmental science; Geography; Oceanography; Precipitation; Meteorology; El Niño Southern Oscillation","score_opus":0.007577987282694496,"score_gpt":0.21978411121437055,"score_spread":0.21220612393167607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980183533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97678405,0.0008367893,0.0067937286,0.0037338063,0.00011880924,0.0000072552666,0.0004992715,0.0000539634,0.011172385],"genre_scores_gemma":[0.99693465,0.0004273661,0.0005213794,0.00009484742,0.000046284844,0.0000038240355,0.0001701201,0.000017222714,0.0017843241],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997484,0.0001092579,0.000013379787,0.00005197717,0.00003898992,0.00003799726],"domain_scores_gemma":[0.9973526,0.0014705437,0.00042610432,0.00022508309,0.00040148842,0.00012419357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011887663,0.0001887188,0.00015150683,0.00033176475,0.0005645587,0.0012756129,0.00026060254,0.0005027434,0.0025046424],"category_scores_gemma":[0.008280666,0.00032725936,0.00031773196,0.0007728383,0.00061823474,0.0009520448,0.0008602893,0.0007951906,0.00043833547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021637416,0.000057131547,0.85035306,0.00007016954,0.0002192498,0.00013193491,0.0006429654,0.105821274,0.0022823901,0.019232944,0.0031147497,0.017857673],"study_design_scores_gemma":[0.000012742061,0.000027095324,0.8198304,0.000031763222,0.00006597769,0.0001396207,0.00039652927,0.15257508,0.0002725784,0.021955285,0.0046614152,0.000031575397],"about_ca_topic_score_codex":0.048090167,"about_ca_topic_score_gemma":0.070308715,"teacher_disagreement_score":0.048090167,"about_ca_system_score_codex":0.0008857977,"about_ca_system_score_gemma":0.00095976057,"threshold_uncertainty_score":0.09562051},"labels":[],"label_agreement":null},{"id":"W1980248162","doi":"10.1007/s00382-003-0357-x","title":"Characterizing and comparing control-run variability of eight coupled AOGCMs and of observations. Part 1: temperature","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Oceanic and Atmospheric Administration; Natural Sciences and Engineering Research Council of Canada; University of Tokyo","keywords":"Empirical orthogonal functions; Climatology; Spatial variability; Principal component analysis; Environmental science; Covariance; Common spatial pattern; Spatial ecology; Atmospheric sciences; Geology; Mathematics; Statistics","score_opus":0.016941770949890782,"score_gpt":0.2147903009456241,"score_spread":0.19784852999573332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980248162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99769163,0.00007526138,0.0011608077,0.000022921813,0.00000770381,0.000011135015,0.00039740567,0.00005739705,0.000575793],"genre_scores_gemma":[0.99824333,0.000019812556,0.00078288023,0.000005012882,0.000005168133,0.000012433949,0.00078305043,0.000013991844,0.00013429602],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983037,0.00003506348,0.000012018638,0.000066967295,0.000022828257,0.00003259828],"domain_scores_gemma":[0.99896526,0.0005731644,0.000094264855,0.00016453116,0.00013472127,0.000068032474],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058096345,0.000345027,0.0002416492,0.0005168831,0.00029563365,0.00059640326,0.00040922148,0.00046220596,0.0004671374],"category_scores_gemma":[0.0024388058,0.00026396062,0.00040045206,0.0005737957,0.00026355826,0.0004920027,0.00034884995,0.00032370116,0.00008341303],"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":[0.001818103,0.0006331404,0.58336455,0.00017235086,0.0010735318,0.00019756093,0.00068526465,0.3113353,0.034024175,0.0018959383,0.0023847916,0.062415283],"study_design_scores_gemma":[0.00013625612,0.00017298482,0.6900017,0.000010966142,0.00026958124,0.000075064,0.00019978048,0.29693553,0.00972611,0.00080429035,0.001618087,0.00004954874],"about_ca_topic_score_codex":0.032917228,"about_ca_topic_score_gemma":0.0343696,"teacher_disagreement_score":0.032917228,"about_ca_system_score_codex":0.0005247734,"about_ca_system_score_gemma":0.0003440788,"threshold_uncertainty_score":0.065451264},"labels":[],"label_agreement":null},{"id":"W1980697082","doi":"10.1007/s00382-011-1149-3","title":"Evaluation of regional climate model simulations versus gridded observed and regional reanalysis products using a combined weighting scheme","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec; Institut National de la Recherche Scientifique; Environment and Climate Change Canada; Université du Québec à Montréal","funders":"","keywords":"Weighting; Climatology; Precipitation; Environmental science; Climate model; Term (time); Series (stratigraphy); Meteorology; Climate change; Geography; Geology","score_opus":0.2563128612986828,"score_gpt":0.311382730010074,"score_spread":0.05506986871139119,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1980697082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.972151,0.00015815496,0.025066826,0.00010296082,0.00003612865,0.0000763194,0.00042274361,0.00024486295,0.0017409627],"genre_scores_gemma":[0.9823399,0.000040790834,0.016657831,0.000018039696,0.00000619839,0.00003432866,0.00038455386,0.000062167754,0.00045622175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99846244,0.0009506065,0.00013250163,0.00016580912,0.00019890338,0.000089839195],"domain_scores_gemma":[0.9914989,0.005329643,0.0004985516,0.0006132974,0.0018500718,0.00020954545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00706503,0.0006633271,0.0005430308,0.0007046403,0.00042361228,0.00072599127,0.00081682834,0.00081129634,0.0011442335],"category_scores_gemma":[0.018906463,0.00034737095,0.00052471814,0.00083508505,0.0002894138,0.0012384381,0.000879667,0.00032838227,0.00014830565],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023196763,0.00032802776,0.03216409,0.00014391245,0.0004406151,0.00013043931,0.00012621144,0.9107905,0.00913292,0.0013832649,0.00072950724,0.04231081],"study_design_scores_gemma":[0.00013632108,0.0002725747,0.007073746,0.000011028016,0.00011749359,0.000023411456,0.000051718307,0.98692733,0.0048546097,0.00025741372,0.00025835074,0.00001591928],"about_ca_topic_score_codex":0.015870051,"about_ca_topic_score_gemma":0.014773458,"teacher_disagreement_score":0.015870051,"about_ca_system_score_codex":0.0006722776,"about_ca_system_score_gemma":0.00064445904,"threshold_uncertainty_score":0.037363887},"labels":[],"label_agreement":null},{"id":"W1981023054","doi":"10.1007/s00382-011-1080-7","title":"Climate change projections and stratosphere–troposphere interaction","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Deutsche Forschungsgemeinschaft; Natural Environment Research Council; Sight Research UK; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Extratropical cyclone; Climatology; Storm track; Environmental science; Climate change; Stratosphere; Troposphere; Storm; Precipitation; Atmospheric circulation; Atmospheric sciences; Baroclinity; Climate model; Geology; Meteorology; Geography; Oceanography","score_opus":0.041045935145232026,"score_gpt":0.2545794669360655,"score_spread":0.21353353179083345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1981023054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.875008,0.0049809823,0.014401383,0.044772584,0.0009922236,0.000025592284,0.010122862,0.00039354162,0.049302973],"genre_scores_gemma":[0.99340045,0.0020627917,0.0010109073,0.00028262712,0.00011668625,0.000009933097,0.0013022278,0.00003239018,0.0017820753],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982965,0.00007786516,0.00000816362,0.000024614714,0.000028757871,0.000030985208],"domain_scores_gemma":[0.999534,0.00020638973,0.00008712587,0.00002411469,0.00009169369,0.00005661446],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005929591,0.00031709616,0.00019464325,0.00048768483,0.00046375042,0.0017587419,0.00038594933,0.0010142936,0.004953506],"category_scores_gemma":[0.0021271969,0.00028188192,0.00038662174,0.0011916817,0.00035873544,0.0019665041,0.0005725051,0.0010789139,0.00034166535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005264625,0.00019461563,0.18644026,0.00023616191,0.00051337294,0.00037249058,0.0004917415,0.6083353,0.0020291004,0.12727012,0.032751292,0.040838987],"study_design_scores_gemma":[0.00012819003,0.00014712304,0.19393203,0.00010792737,0.00032033012,0.00014262304,0.001252742,0.5859467,0.0022147489,0.15653642,0.05917182,0.000099389435],"about_ca_topic_score_codex":0.042796392,"about_ca_topic_score_gemma":0.05117657,"teacher_disagreement_score":0.042796392,"about_ca_system_score_codex":0.0015489778,"about_ca_system_score_gemma":0.0014065579,"threshold_uncertainty_score":0.08509457},"labels":[],"label_agreement":null},{"id":"W1982679066","doi":"10.1007/s00382-008-0406-6","title":"Sensitivity of sea ice to wind-stress and radiative forcing since 1500: a model study of the Little Ice Age and beyond","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Sea ice; Climatology; Geology; Ice-albedo feedback; Forcing (mathematics); Sea ice thickness; Northern Hemisphere; Wind stress; Environmental science; Atmospheric sciences; Radiative forcing; Cryosphere; Sea ice concentration; Climate change; Oceanography","score_opus":0.019133661800797962,"score_gpt":0.24741836599556713,"score_spread":0.22828470419476918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982679066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99886787,0.000065523964,0.00023521806,0.00013285145,0.000005203165,0.0000032758012,0.0002069915,0.000011512526,0.0004715539],"genre_scores_gemma":[0.99929214,0.000070462884,0.00011691287,0.00003256299,0.000006189641,0.000005834805,0.0002385341,0.000010894605,0.00022646219],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989104,0.000036679536,0.000006294327,0.000025213276,0.000006346259,0.000034420224],"domain_scores_gemma":[0.99913317,0.00045469633,0.0000994879,0.00006883917,0.000056818935,0.00018706036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009297644,0.00061419705,0.00083954394,0.0004133772,0.0005271924,0.0013891383,0.0013172074,0.0014558343,0.0015531894],"category_scores_gemma":[0.0021394365,0.00049619057,0.0015475345,0.0005776632,0.001014322,0.0013065428,0.00059674523,0.00081568887,0.0001743695],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011019297,0.0003851049,0.16041641,0.00006838589,0.00055294984,0.00040744583,0.000347408,0.8238082,0.004762882,0.003891197,0.0012662467,0.0029918954],"study_design_scores_gemma":[0.00028879792,0.00029175193,0.09432265,0.000032967146,0.00036439963,0.00011451426,0.00036087626,0.8989238,0.0012872723,0.0031159956,0.0008319344,0.0000649349],"about_ca_topic_score_codex":0.07011934,"about_ca_topic_score_gemma":0.036909465,"teacher_disagreement_score":0.07011934,"about_ca_system_score_codex":0.001609387,"about_ca_system_score_gemma":0.0010811131,"threshold_uncertainty_score":0.13942242},"labels":[],"label_agreement":null},{"id":"W1983051211","doi":"10.1007/s00382-013-1828-3","title":"Is the storminess in the Twentieth Century Reanalysis really inconsistent with observations? A reply to the comment by Krueger et al. (2013b)","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Pacific Institute for Climate Solutions; Environment and Climate Change Canada","funders":"Climate Program Office; Office of Science; National Oceanic and Atmospheric Administration; National Energy Research Scientific Computing Center; U.S. Department of Energy","keywords":"Geostrophic wind; Climatology; Percentile; Environmental science; Meteorology; Geology; Geography; Statistics; Mathematics","score_opus":0.02225218158018364,"score_gpt":0.2507429764216789,"score_spread":0.2284907948414953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1983051211","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":[0.00036108503,0.001423692,0.00046565855,0.9672856,0.029911287,0.000006112388,0.00016326187,0.000047255602,0.00033605986],"genre_scores_gemma":[0.0047834073,0.0010973234,0.0005889855,0.9587146,0.033612072,0.000041947405,0.000088494,0.00010327573,0.00096991874],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9868348,0.0037510034,0.0020093746,0.0028570984,0.0036811738,0.0008664626],"domain_scores_gemma":[0.9263761,0.04451936,0.004816682,0.0040935124,0.017929817,0.002264519],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.026518147,0.0010673084,0.0016118124,0.0014878588,0.0033964575,0.0045205886,0.0056516165,0.03488009,0.0038665617],"category_scores_gemma":[0.10478404,0.0011075358,0.0018858219,0.002157424,0.00893959,0.008671812,0.0048447545,0.05335071,0.0054046824],"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":[0.00007820751,0.000018588351,0.0011134663,0.00014027873,0.000048038684,0.00020784054,0.00079765875,0.00012466704,0.00026335946,0.004598089,0.98507917,0.0075306096],"study_design_scores_gemma":[0.00017161021,0.00007535142,0.006457611,0.0007882278,0.00008856166,0.0006609252,0.0023802964,0.0009193288,0.0012453995,0.029334078,0.9575618,0.00031689118],"about_ca_topic_score_codex":0.011782456,"about_ca_topic_score_gemma":0.008745529,"teacher_disagreement_score":0.03488009,"about_ca_system_score_codex":0.003749079,"about_ca_system_score_gemma":0.0059280423,"threshold_uncertainty_score":0.14024305},"labels":[],"label_agreement":null},{"id":"W1984215840","doi":"10.1007/s00382-008-0481-8","title":"Greening the terrestrial biosphere: simulated feedbacks on atmospheric heat and energy circulation","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Albedo (alchemy); Environmental science; Atmospheric sciences; Biosphere; Leaf area index; Biosphere model; Latitude; Climatology; Latent heat; Energy balance; Atmosphere (unit); Earth's energy budget; Vegetation (pathology); Climate model; Climate change; Meteorology; Geology; Radiation; Geography; Physics","score_opus":0.01656682251011403,"score_gpt":0.2222121380251759,"score_spread":0.20564531551506188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984215840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99412173,0.00004921427,0.0012655747,0.00049730163,0.000092886155,0.00001510929,0.0011844308,0.00040316407,0.0023705687],"genre_scores_gemma":[0.9982552,0.000029241666,0.00063778466,0.00007457642,0.000011100176,0.000011376617,0.0004717564,0.000060217666,0.0004487549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998621,0.000037207752,0.00000633892,0.00003471291,0.000013241464,0.000046430894],"domain_scores_gemma":[0.9990945,0.0004293039,0.000052496256,0.00006926784,0.000086275446,0.000268179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005569811,0.00066398206,0.0007113222,0.0004049941,0.00078883657,0.0011569539,0.0014202663,0.0028320733,0.004607516],"category_scores_gemma":[0.0017934155,0.000653048,0.0011290798,0.00062222994,0.0012134365,0.0012275769,0.00080584665,0.0017223664,0.00028915948],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035063698,0.00019475617,0.0053010974,0.00002675476,0.00007607823,0.00010205578,0.00007034221,0.989456,0.0015980281,0.00066719035,0.0010209021,0.0011361885],"study_design_scores_gemma":[0.0003131724,0.00006404574,0.003320065,0.00000457488,0.000028434277,0.000010228913,0.000047860798,0.9946371,0.0007810632,0.00052060845,0.00025293021,0.000020014219],"about_ca_topic_score_codex":0.068015315,"about_ca_topic_score_gemma":0.041896526,"teacher_disagreement_score":0.068015315,"about_ca_system_score_codex":0.0016052573,"about_ca_system_score_gemma":0.0015937528,"threshold_uncertainty_score":0.13523883},"labels":[],"label_agreement":null},{"id":"W1984233086","doi":"10.1007/s00382-009-0567-y","title":"Quantifying Arctic contributions to climate predictability in a regional coupled ocean-ice-atmosphere model","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"European Commission","keywords":"Climatology; Sea ice; Arctic ice pack; Arctic sea ice decline; Predictability; Arctic geoengineering; Arctic; North Atlantic oscillation; Climate model; Environmental science; Arctic dipole anomaly; Forcing (mathematics); Cryosphere; Geology; Drift ice; Oceanography; Climate change","score_opus":0.01889332060679145,"score_gpt":0.26498249160572773,"score_spread":0.2460891709989363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984233086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897175,0.00015150972,0.007397545,0.00015466782,0.000018727635,0.000010774589,0.00037660345,0.00016972783,0.002002947],"genre_scores_gemma":[0.9971706,0.00006124938,0.0021184315,0.000014789478,0.0000068070635,0.0000118723065,0.00024201577,0.000023340723,0.00035096347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998431,0.000066603585,0.0000083105215,0.0000365405,0.00001732734,0.000028056362],"domain_scores_gemma":[0.99945635,0.00033374288,0.000063285064,0.000040018276,0.00006264896,0.000043924032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006231323,0.0005265499,0.00052955066,0.00029078618,0.0004583413,0.00082930306,0.00077934825,0.0006318011,0.00068356685],"category_scores_gemma":[0.0019667523,0.00046885648,0.0005456302,0.00039246303,0.00032974003,0.00063335686,0.0007316097,0.00056696753,0.000096092146],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000081897975,0.000020017756,0.0052179126,0.00000928985,0.000055382767,0.000025188476,0.000021854492,0.99227554,0.00049348513,0.00061260123,0.000105275074,0.0010816066],"study_design_scores_gemma":[0.000011308571,0.000016292714,0.0008644599,0.0000017253404,0.000020843489,0.000002869958,0.000006050635,0.9987326,0.00009079748,0.00018906036,0.00006035579,0.0000035940739],"about_ca_topic_score_codex":0.052719675,"about_ca_topic_score_gemma":0.030080374,"teacher_disagreement_score":0.052719675,"about_ca_system_score_codex":0.0009900772,"about_ca_system_score_gemma":0.00077184284,"threshold_uncertainty_score":0.104825616},"labels":[],"label_agreement":null},{"id":"W1986114003","doi":"10.1007/s00382-007-0286-1","title":"An evaluation of Arctic cloud and radiation processes during the SHEBA year: simulation results from eight Arctic regional climate models","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Cold Regions Research and Engineering Laboratory; Canadian Foundation for Climate and Atmospheric Sciences; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Downwelling; Climatology; Albedo (alchemy); Environmental science; Cloud cover; Shortwave radiation; Climate model; Arctic; Atmospheric sciences; Liquid water path; Cloud albedo; Cloud forcing; Meteorology; Climate change; Geology; Cloud computing; Precipitation; Radiation; Upwelling; Geography; Oceanography","score_opus":0.023281558891532977,"score_gpt":0.2579271427763889,"score_spread":0.23464558388485593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986114003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968274,0.00010011324,0.0006885882,0.00009977945,0.000018639183,0.000018515328,0.00061224063,0.00009509007,0.0015395369],"genre_scores_gemma":[0.9964437,0.00011464707,0.0016967679,0.000031808755,0.000008650726,0.00003191879,0.0012586578,0.00003763112,0.00037626873],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966776,0.00016415189,0.00001738025,0.000045734607,0.000039282888,0.00006565452],"domain_scores_gemma":[0.9987865,0.0006368095,0.00009927135,0.00009975992,0.00026016624,0.000117483716],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016125338,0.0010442063,0.0008615888,0.00054444594,0.00084642577,0.0010391967,0.0010409093,0.0012413244,0.00089874305],"category_scores_gemma":[0.0027977524,0.00061028166,0.0011949069,0.00077042496,0.0004411091,0.00069550116,0.0004871164,0.0008206231,0.00016746133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019884045,0.000116812036,0.022479014,0.000029423687,0.00015031395,0.000080166064,0.000055269684,0.973626,0.0005268871,0.00027307472,0.00036521137,0.0020990064],"study_design_scores_gemma":[0.0001542712,0.00015818045,0.00840528,0.000012101248,0.000086372245,0.000016767097,0.00008615613,0.9897578,0.0007280184,0.00012504551,0.00045179215,0.0000181768],"about_ca_topic_score_codex":0.16459467,"about_ca_topic_score_gemma":0.0980155,"teacher_disagreement_score":0.16459467,"about_ca_system_score_codex":0.001962668,"about_ca_system_score_gemma":0.0015314493,"threshold_uncertainty_score":0.3272732},"labels":[],"label_agreement":null},{"id":"W1986283049","doi":"10.1007/s00382-010-0834-y","title":"Diagnostic budget study of the internal variability in ensemble simulations of the Canadian RCM","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Diabatic; Covariance; Climatology; Environmental science; Potential vorticity; Vorticity; Statistical physics; Meteorology; Atmospheric sciences; Physics; Mathematics; Statistics; Geology; Thermodynamics; Adiabatic process","score_opus":0.011667392467383809,"score_gpt":0.22842540338195044,"score_spread":0.21675801091456665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986283049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99086094,0.00023841958,0.0020180668,0.0005195251,0.000028361195,0.000043807115,0.0021706177,0.00010635839,0.0040139398],"genre_scores_gemma":[0.9976326,0.000056338395,0.0011420173,0.00004022401,0.0000067912592,0.000013721377,0.0006091889,0.00002906384,0.00046998457],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99970704,0.000061822655,0.00002367342,0.000058499427,0.00007364335,0.00007524595],"domain_scores_gemma":[0.9981693,0.00068441714,0.00014864707,0.00016547897,0.0006872335,0.0001448471],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012980341,0.0005493318,0.00056275283,0.0008853919,0.0010629122,0.0010019596,0.0016703026,0.00086503016,0.00178471],"category_scores_gemma":[0.007165034,0.00042093062,0.0004995393,0.0013778906,0.00053438515,0.00082168693,0.000584064,0.00070328376,0.00010694507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022217516,0.00015137743,0.06315182,0.00007089317,0.00018386886,0.00013799855,0.00017974901,0.91528666,0.0027927924,0.004672248,0.0020769218,0.011073515],"study_design_scores_gemma":[0.00005294337,0.000018921122,0.01971448,0.000009162484,0.00003987269,0.000012890908,0.00006712241,0.9783091,0.0006507403,0.00037398215,0.0007301038,0.000020647602],"about_ca_topic_score_codex":0.9004236,"about_ca_topic_score_gemma":0.80156606,"teacher_disagreement_score":0.09957641,"about_ca_system_score_codex":0.008903832,"about_ca_system_score_gemma":0.008579428,"threshold_uncertainty_score":0.20032561},"labels":[],"label_agreement":null},{"id":"W1987447729","doi":"10.1007/s00382-006-0189-6","title":"The impact of lateral boundary data errors on the simulated climate of a nested regional climate model","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"","keywords":"Climate model; Environmental science; Boundary (topology); General Circulation Model; Meteorology; Nesting (process); Computer science; Climatology; Magnitude (astronomy); Climate change; Geography; Geology; Mathematics; Engineering; Physics","score_opus":0.03534433469854134,"score_gpt":0.29130157149012487,"score_spread":0.25595723679158355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1987447729","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977387,0.00025435106,0.017469369,0.00078498886,0.0001256151,0.00001939371,0.00062842004,0.0002587757,0.0030720502],"genre_scores_gemma":[0.99717486,0.00004734662,0.0020173935,0.000079463716,0.0000144935575,0.0000086386,0.0002616027,0.00007812789,0.000317944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99748117,0.001295222,0.0001972983,0.00041199042,0.0003643046,0.00025006887],"domain_scores_gemma":[0.96584296,0.025262102,0.0021646318,0.0022642275,0.0036047944,0.00086128723],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0070404853,0.0007613675,0.0008493585,0.0004269205,0.0012037187,0.0020246434,0.0010077548,0.002011725,0.0013557548],"category_scores_gemma":[0.05207451,0.000978509,0.00069080904,0.0007517952,0.0015006099,0.0024621438,0.0015278218,0.0018894793,0.00022150445],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003014923,0.000043117587,0.011123015,0.00001880993,0.000051867228,0.00005351474,0.00004066007,0.9837483,0.0013051195,0.0010223603,0.00022533342,0.0020663466],"study_design_scores_gemma":[0.00005321913,0.000054129327,0.0035912432,0.000008114178,0.000043718366,0.0000122100855,0.000028347906,0.993166,0.0021737854,0.0006961684,0.00015121399,0.000021879006],"about_ca_topic_score_codex":0.054448653,"about_ca_topic_score_gemma":0.03166736,"teacher_disagreement_score":0.054448653,"about_ca_system_score_codex":0.0017603852,"about_ca_system_score_gemma":0.0017103407,"threshold_uncertainty_score":0.10826349},"labels":[],"label_agreement":null},{"id":"W1988123516","doi":"10.1007/s00382-012-1529-3","title":"North-Atlantic dynamics and European temperature extremes in the IPSL model: sensitivity to atmospheric resolution","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Climatology; Environmental science; Horizontal resolution; Coupled model intercomparison project; Climate model; Jet stream; General Circulation Model; Climate change; Atmospheric sciences; Jet (fluid); Geology; Oceanography; Physics","score_opus":0.012142744618610365,"score_gpt":0.21723746771586047,"score_spread":0.2050947230972501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988123516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986813,0.00023529529,0.0028563596,0.00079635286,0.000096074575,0.000014434947,0.003972355,0.0003892065,0.0048268526],"genre_scores_gemma":[0.9962941,0.00008805874,0.00093200215,0.000101419086,0.000026336947,0.000017568467,0.0018776559,0.0001054299,0.0005574253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996809,0.000111257286,0.000022108467,0.00008781615,0.000034543067,0.00006335067],"domain_scores_gemma":[0.998691,0.0007001126,0.00012867618,0.00016824718,0.00016387207,0.00014810722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016531864,0.00069444836,0.00072744116,0.0003832834,0.0007101575,0.0014941848,0.0013031543,0.0019111353,0.0023912704],"category_scores_gemma":[0.0037331777,0.0007273722,0.0009740127,0.00088142225,0.0007189747,0.0019607935,0.0007535165,0.001562211,0.00038611068],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028756997,0.000072649746,0.016539507,0.000035758956,0.0001300528,0.00006879206,0.000047174377,0.97590655,0.0010257218,0.0012344279,0.0022611343,0.002390615],"study_design_scores_gemma":[0.0001753114,0.000033088265,0.015286822,0.000016590766,0.00006467146,0.000018483715,0.000033892673,0.9819218,0.0009756712,0.0008332661,0.00059317297,0.00004716409],"about_ca_topic_score_codex":0.06586935,"about_ca_topic_score_gemma":0.046401512,"teacher_disagreement_score":0.06586935,"about_ca_system_score_codex":0.0012923871,"about_ca_system_score_gemma":0.0009974517,"threshold_uncertainty_score":0.13097191},"labels":[],"label_agreement":null},{"id":"W1990345816","doi":"10.1007/s003820050337","title":"A transient climate change simulation with greenhouse gas and aerosol forcing: experimental design and comparison with the instrumental record for the twentieth century","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada; Canadian Forest Service","funders":"","keywords":"Forcing (mathematics); Greenhouse gas; Climatology; Aerosol; Environmental science; Climate model; Climate change; Sulfate aerosol; Precipitation; Transient climate simulation; Atmospheric sciences; Cloud forcing; Radiative forcing; Global warming; Climate commitment; Meteorology; Effects of global warming; Geography; Geology","score_opus":0.032188978107152585,"score_gpt":0.25592533984874505,"score_spread":0.22373636174159245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990345816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99678075,0.000011760889,0.0021082123,0.000052854164,0.000019338699,0.00013603317,0.00034421313,0.000032013315,0.00051473436],"genre_scores_gemma":[0.99473023,0.000034591634,0.0035020043,0.000030704,0.000014794058,0.0005761505,0.00066830893,0.000019803321,0.00042339633],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946076,0.00023968884,0.00004369594,0.00012846748,0.000049090402,0.00007828377],"domain_scores_gemma":[0.9951267,0.0030165534,0.00036431244,0.0007554862,0.00041239176,0.00032455954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018593178,0.00042441298,0.00045022694,0.00031301216,0.00065199303,0.0006288826,0.0013820884,0.00084019254,0.0017932251],"category_scores_gemma":[0.004574824,0.0005214359,0.0005955475,0.00054325786,0.0011181036,0.0006020786,0.000827626,0.00090599235,0.00015175335],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.042227257,0.023725798,0.10280339,0.00044146064,0.0009369996,0.00028382975,0.00088381383,0.7214199,0.054536227,0.017278025,0.001959165,0.0335043],"study_design_scores_gemma":[0.007340481,0.014043612,0.050427232,0.00002428125,0.00073382806,0.000047956488,0.000404004,0.8729701,0.046061408,0.0046625044,0.0031139383,0.0001705958],"about_ca_topic_score_codex":0.013441869,"about_ca_topic_score_gemma":0.009197291,"teacher_disagreement_score":0.013441869,"about_ca_system_score_codex":0.0013968686,"about_ca_system_score_gemma":0.0016473557,"threshold_uncertainty_score":0.02672726},"labels":[],"label_agreement":null},{"id":"W1993734214","doi":"10.1007/s00382-015-2592-3","title":"Recent wave climate and expected future changes in the seasonally ice-infested waters of the Gulf of St. Lawrence, Canada","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski","funders":"","keywords":"Sea ice; Climate change; Environmental science; Climatology; Climate model; Wave model; Greenhouse gas; Arctic ice pack; Global warming; Atmospheric sciences; Oceanography; Meteorology; Geology; Geography","score_opus":0.014343433794121011,"score_gpt":0.20315719936395166,"score_spread":0.18881376556983065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993734214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847171,0.00043380342,0.0001540053,0.0016939946,0.000042822987,0.000010258568,0.00738989,0.000025374611,0.0055326708],"genre_scores_gemma":[0.99361634,0.00058479485,0.00014394076,0.00011352063,0.000013699857,0.0000048895045,0.0029462879,0.0000063827993,0.0025700992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998821,0.000005548294,0.00000794911,0.000013983572,0.000036391997,0.000054061995],"domain_scores_gemma":[0.99938035,0.000023880315,0.0000842874,0.000008527158,0.00038131585,0.000121644676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024704012,0.0001628193,0.0001352867,0.0006948834,0.0010734168,0.0010561912,0.000484476,0.00037850617,0.002606198],"category_scores_gemma":[0.0008178549,0.00013474571,0.00027394984,0.0012549106,0.00040266194,0.00053204567,0.0005043583,0.00047767465,0.0002637503],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001578802,0.000044767246,0.9805149,0.00006216574,0.000072611765,0.00017971758,0.00074414007,0.0027587933,0.0006442597,0.0009473576,0.004765281,0.009108244],"study_design_scores_gemma":[0.000007610197,0.000012180118,0.99304223,0.00002360054,0.00001807612,0.000050056107,0.0014617933,0.001633787,0.00011540502,0.00009936692,0.0035251654,0.0000107638825],"about_ca_topic_score_codex":0.96466887,"about_ca_topic_score_gemma":0.98506135,"teacher_disagreement_score":0.03533113,"about_ca_system_score_codex":0.010668263,"about_ca_system_score_gemma":0.010203766,"threshold_uncertainty_score":0.07740402},"labels":[],"label_agreement":null},{"id":"W1994418136","doi":"10.1007/s00382-004-0393-1","title":"Seasonal predictability of ENSO teleconnections: the role of the remote ocean response","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Environment Research Council; Goddard Space Flight Center; Prairie Oat Growers Association","keywords":"Teleconnection; Climatology; Predictability; Sea surface temperature; El Niño Southern Oscillation; Tropical Atlantic; Walker circulation; Environmental science; Multivariate ENSO index; Tropics; Atmosphere (unit); La Niña; Tropical climate; Oceanography; Indian ocean; Geology; Geography; Meteorology","score_opus":0.007447420680946417,"score_gpt":0.2190575481073432,"score_spread":0.2116101274263968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994418136","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746275,0.0012462351,0.012611785,0.0032421793,0.00014092385,0.0000071098584,0.00032656218,0.00014163538,0.007656072],"genre_scores_gemma":[0.9988337,0.00030453014,0.0002692767,0.0000452232,0.000040838462,0.0000018023602,0.00006062092,0.000024228084,0.00041970526],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999249,0.000024800009,0.000003650641,0.000022623128,0.000008243418,0.000015802378],"domain_scores_gemma":[0.99942684,0.00032341888,0.000101038626,0.000057291407,0.000040572835,0.000050770977],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005578139,0.00029149678,0.00018812736,0.00019966476,0.00028009212,0.0013283867,0.00037189986,0.00051365676,0.0019171123],"category_scores_gemma":[0.0027207835,0.00022645315,0.00025555966,0.00030443736,0.0005796935,0.0014713177,0.0005696803,0.0007310699,0.00011904743],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005034996,0.00014911479,0.12892541,0.000118696385,0.00025527703,0.0002683544,0.00036275352,0.73593384,0.01115226,0.07931335,0.0059553664,0.037062075],"study_design_scores_gemma":[0.00004177644,0.000025567984,0.050980117,0.000012991238,0.000044187163,0.000040376934,0.00010950277,0.914548,0.0005514082,0.03217814,0.0014440045,0.000023937946],"about_ca_topic_score_codex":0.007043463,"about_ca_topic_score_gemma":0.005009949,"teacher_disagreement_score":0.007043463,"about_ca_system_score_codex":0.0003777391,"about_ca_system_score_gemma":0.0003587833,"threshold_uncertainty_score":0.014004886},"labels":[],"label_agreement":null},{"id":"W1994494423","doi":"10.1007/pl00013732","title":"Simulation of the interannual variability of the wind-driven Arctic sea-ice cover during 1958–1998","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; University of Victoria","funders":"","keywords":"Sea ice; Arctic ice pack; Geology; Arctic sea ice decline; Climatology; Drift ice; Sea ice thickness; Arctic; Antarctic sea ice; Oceanography; Cryosphere; Fast ice; Canada Basin; Arctic geoengineering; Forcing (mathematics)","score_opus":0.005512052076376936,"score_gpt":0.2030428048678484,"score_spread":0.19753075279147148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994494423","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675375,0.000059896567,0.00055657764,0.00017120858,0.000041667536,0.000007863038,0.0010177013,0.00005036284,0.0013409108],"genre_scores_gemma":[0.9982389,0.0000392245,0.0004228214,0.000022446078,0.0000075038097,0.000009720111,0.00090183574,0.000010493611,0.00034704147],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987864,0.000029008183,0.000011195816,0.00003878401,0.00001365035,0.000028638255],"domain_scores_gemma":[0.99925,0.0003652743,0.00011363182,0.000048299462,0.00009646677,0.00012627087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055423897,0.0005930691,0.0005049894,0.00046498558,0.00051733555,0.00076393737,0.0009061486,0.001377984,0.0021767963],"category_scores_gemma":[0.0018040077,0.0005574413,0.00082711433,0.00066509325,0.0006205666,0.000694606,0.00044826476,0.0010324941,0.00021672623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049701176,0.00022322516,0.03648287,0.00002892769,0.00017067672,0.00017512609,0.000071077775,0.9578473,0.0009660241,0.0006949714,0.00077559095,0.0020672565],"study_design_scores_gemma":[0.00024668005,0.00012339748,0.02076105,0.0000097233615,0.000058783502,0.000029595349,0.00007831998,0.9773917,0.00044647345,0.00020867867,0.0006253674,0.000020226516],"about_ca_topic_score_codex":0.12227838,"about_ca_topic_score_gemma":0.07610692,"teacher_disagreement_score":0.12227838,"about_ca_system_score_codex":0.0016272801,"about_ca_system_score_gemma":0.0010990493,"threshold_uncertainty_score":0.2431333},"labels":[],"label_agreement":null},{"id":"W1995338196","doi":"10.1007/s00382-014-2241-2","title":"Potential influence of the November–December Southern Hemisphere annular mode on the East Asian winter precipitation: a new mechanism","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"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 Key Research and Development Program of China","keywords":"Climatology; Intertropical Convergence Zone; Southern Hemisphere; Precipitation; Anomaly (physics); East Asia; Northern Hemisphere; Sea surface temperature; Convergence zone; Troposphere; Geology; Latitude; Atmospheric sciences; Environmental science; China; Geography; Meteorology","score_opus":0.006485772755029322,"score_gpt":0.2068872286380719,"score_spread":0.2004014558830426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995338196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754242,0.00058161217,0.00642083,0.0014430654,0.00014520226,0.000029448694,0.00038895605,0.00013273154,0.015433876],"genre_scores_gemma":[0.9989458,0.000111266265,0.00028611114,0.000043349843,0.00005153914,0.0000044549734,0.00004082217,0.000018011611,0.00049868814],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998559,0.000042020067,0.000013586739,0.000039509792,0.000013961819,0.000035050838],"domain_scores_gemma":[0.9992938,0.00029485094,0.000108182205,0.0000937243,0.000086968554,0.00012251965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085932424,0.00036309025,0.00045055154,0.00037817363,0.0004794268,0.0013917583,0.00079186267,0.0006742217,0.0059912703],"category_scores_gemma":[0.0017606935,0.0003753407,0.0006105324,0.00035198597,0.0005868146,0.0012950093,0.00095984974,0.0003629643,0.0002619025],"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":[0.002401474,0.00057307456,0.6005602,0.0004552636,0.0010572327,0.002344813,0.002183865,0.13536887,0.12370491,0.07536515,0.006162522,0.04982264],"study_design_scores_gemma":[0.00033613387,0.00031157926,0.6850965,0.000053300435,0.0003229194,0.0002992692,0.0007366955,0.28451335,0.003578741,0.018981129,0.0056536654,0.00011671154],"about_ca_topic_score_codex":0.0056760055,"about_ca_topic_score_gemma":0.0053359093,"teacher_disagreement_score":0.0059912703,"about_ca_system_score_codex":0.00048394938,"about_ca_system_score_gemma":0.0004493227,"threshold_uncertainty_score":0.020042837},"labels":[],"label_agreement":null},{"id":"W1997054716","doi":"10.1007/s00382-012-1418-9","title":"Evaluating explanatory models of the spatial pattern of surface climate trends using model selection and bayesian averaging methods","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Explanatory power; Model selection; Bayesian probability; Contrast (vision); Statistics; Econometrics; Mathematics; Climatology; Computer science; Geology","score_opus":0.06521751418790922,"score_gpt":0.35445838959583537,"score_spread":0.28924087540792615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997054716","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":[0.4825553,0.00046825953,0.5146542,0.00060108025,0.000030708547,0.00006874274,0.0003493337,0.00059859327,0.0006737255],"genre_scores_gemma":[0.9248735,0.0002573165,0.07323523,0.00008120278,0.000067550405,0.000120178855,0.0008961799,0.000101753525,0.0003671817],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99699175,0.0022130809,0.0001619302,0.0003121459,0.00020640933,0.00011466934],"domain_scores_gemma":[0.95695806,0.03933778,0.0013415109,0.00090526725,0.0010308499,0.0004265102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012065511,0.0010855746,0.0019341275,0.002371622,0.0009207355,0.001632014,0.0018656612,0.0013965007,0.0010441592],"category_scores_gemma":[0.037868522,0.0011649644,0.0015413337,0.0014263693,0.00076975866,0.002274655,0.0010942734,0.0014068123,0.00012998396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008433522,0.000049198865,0.005555463,0.000026767077,0.00023741438,0.000027417893,0.00003604564,0.9797101,0.000207299,0.0035933696,0.00020351954,0.010269039],"study_design_scores_gemma":[0.000011812953,0.000010099925,0.00041050464,0.000002073033,0.000022641203,0.000002358959,0.000004133466,0.9966246,0.000053477386,0.002828363,0.000025044801,0.0000049451587],"about_ca_topic_score_codex":0.022116503,"about_ca_topic_score_gemma":0.021380952,"teacher_disagreement_score":0.022116503,"about_ca_system_score_codex":0.0013867539,"about_ca_system_score_gemma":0.0023252002,"threshold_uncertainty_score":0.063809276},"labels":[],"label_agreement":null},{"id":"W1997510648","doi":"10.1007/s00382-005-0051-2","title":"The role of shallow convection in the water and energy cycles of the atmosphere","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Convection; Atmosphere (unit); Precipitation; Atmospheric sciences; Climatology; Shortwave; Convective available potential energy; Environmental science; Atmospheric convection; Free convective layer; Radiative transfer; Geology; Meteorology; Troposphere; Physics","score_opus":0.004022181412272834,"score_gpt":0.188909806118551,"score_spread":0.18488762470627815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997510648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93060607,0.006839638,0.047060993,0.004101054,0.0002939794,0.000019352156,0.0003022741,0.00018316723,0.010593427],"genre_scores_gemma":[0.9972594,0.0009940702,0.00081153493,0.000057665762,0.0000816631,0.0000027549786,0.000024667515,0.000015357333,0.0007529305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991214,0.000033931086,0.000005506952,0.000013244854,0.000014688484,0.000020545947],"domain_scores_gemma":[0.9995147,0.00025613228,0.000066345085,0.000041085765,0.00004225947,0.00007946027],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004360481,0.00033708406,0.0003495029,0.00021631378,0.0005641099,0.0016367744,0.00047586928,0.00080519996,0.0008850658],"category_scores_gemma":[0.0021358216,0.00028574042,0.00030197506,0.0003779464,0.0014517502,0.002502143,0.0010446879,0.0007389523,0.00014323732],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045491074,0.000096269476,0.038761266,0.00026101014,0.00009434228,0.00028543948,0.0009021632,0.7110731,0.015582084,0.17743108,0.0027489876,0.05230942],"study_design_scores_gemma":[0.000055670233,0.000048117592,0.010866128,0.000024755445,0.00004055472,0.000051294333,0.00020438425,0.80373985,0.0010093265,0.18134397,0.002573915,0.00004205806],"about_ca_topic_score_codex":0.009172443,"about_ca_topic_score_gemma":0.0068733958,"teacher_disagreement_score":0.009172443,"about_ca_system_score_codex":0.00064281566,"about_ca_system_score_gemma":0.0006228547,"threshold_uncertainty_score":0.018238127},"labels":[],"label_agreement":null},{"id":"W1997529569","doi":"10.1007/s00382-012-1490-1","title":"Development of climate change projections for small watersheds using multi-model ensemble simulation and stochastic weather generation","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Water Network; Canadian Natural Resources Limited","keywords":"Downscaling; Climate change; Environmental science; Climatology; Precipitation; Climate model; Watershed; Meteorology; Scale (ratio); Stochastic modelling; Projection (relational algebra); Computer science; Mathematics; Geography; Statistics; Algorithm; Geology; Machine learning","score_opus":0.11253678244259409,"score_gpt":0.3080215993920849,"score_spread":0.19548481694949082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997529569","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7652738,0.00026698745,0.2161726,0.0009735303,0.00012344444,0.0002762191,0.005398106,0.0018649626,0.009650275],"genre_scores_gemma":[0.90514773,0.00018184804,0.09078302,0.000019168616,0.000015405267,0.0002062956,0.0028187572,0.00009425699,0.0007334703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976224,0.000092218674,0.000020554116,0.000036277277,0.00006492263,0.000023830868],"domain_scores_gemma":[0.99876237,0.00034887964,0.00010303297,0.00014751179,0.00052233716,0.00011589513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013191836,0.0007408776,0.0004767969,0.0008347684,0.0004762829,0.0007910757,0.0007262626,0.0007172997,0.0018323247],"category_scores_gemma":[0.0033456646,0.0006357348,0.0007616807,0.0010420281,0.00020198822,0.0014438769,0.00050789065,0.0007581634,0.00028299537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040862542,0.000050562983,0.0031399482,0.00001891409,0.000042899446,0.000041244148,0.0000160098,0.9841467,0.0005051621,0.0010638203,0.00053352345,0.010400325],"study_design_scores_gemma":[0.000012417767,0.000010924362,0.0010018097,0.00000337885,0.000008912294,0.000002829291,0.000010610291,0.9979171,0.00031606184,0.00046889574,0.00024166674,0.0000054017864],"about_ca_topic_score_codex":0.051858183,"about_ca_topic_score_gemma":0.04749425,"teacher_disagreement_score":0.051858183,"about_ca_system_score_codex":0.0013517728,"about_ca_system_score_gemma":0.0031865765,"threshold_uncertainty_score":0.1031127},"labels":[],"label_agreement":null},{"id":"W1998507804","doi":"10.1007/s00382-005-0023-6","title":"Validation of the nesting technique in a regional climate model and sensitivity tests to the resolution of the lateral boundary conditions during summer","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"","keywords":"Downscaling; Nesting (process); Climatology; Climate model; Boundary (topology); Scale (ratio); Environmental science; Resolution (logic); Meteorology; Computer science; Domain (mathematical analysis); Image resolution; Remote sensing; Geology; Climate change; Mathematics; Geography; Cartography; Artificial intelligence","score_opus":0.018989406160788515,"score_gpt":0.2571017661554824,"score_spread":0.2381123599946939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998507804","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.950725,0.00009104372,0.046972025,0.00013707526,0.000051284238,0.00003725852,0.00035602966,0.00037176546,0.0012585297],"genre_scores_gemma":[0.9733338,0.000040028586,0.025960868,0.000032128646,0.00001157757,0.000024167197,0.00020792171,0.00016442878,0.00022513149],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995846,0.00021570112,0.000028217006,0.00008705561,0.00004041183,0.000043988028],"domain_scores_gemma":[0.99513006,0.0028587005,0.00037679,0.0006753795,0.0007892764,0.00016986902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023861977,0.00047182155,0.00037998578,0.0002453339,0.00059076166,0.00045513493,0.0011809174,0.0006884929,0.00064335164],"category_scores_gemma":[0.007872051,0.00032459735,0.0004317187,0.00035590722,0.00040418142,0.00069938286,0.00045009088,0.0007291871,0.00012710628],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000480701,0.00029539535,0.05075484,0.000060265564,0.00015723125,0.00011963278,0.00020378052,0.90614927,0.01629199,0.0013935436,0.00061177113,0.02348158],"study_design_scores_gemma":[0.0000384415,0.000052436128,0.0052681314,0.0000073116203,0.00002419553,0.000021626729,0.000022458364,0.99180025,0.0024515283,0.00017852504,0.00012032778,0.000014807564],"about_ca_topic_score_codex":0.034087323,"about_ca_topic_score_gemma":0.022617482,"teacher_disagreement_score":0.034087323,"about_ca_system_score_codex":0.00030218068,"about_ca_system_score_gemma":0.00083680724,"threshold_uncertainty_score":0.06777781},"labels":[],"label_agreement":null},{"id":"W1999165030","doi":"10.1007/s00382-014-2084-x","title":"Interdecadal change in the Northern Hemisphere seasonal climate prediction skill: part II. predictability and prediction skill","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Foundation of Korea; Fundamental Research Funds for the Central Universities; Met Office; National Center for Atmospheric Research","keywords":"Predictability; Hindcast; Climatology; Forecast skill; Northern Hemisphere; Environmental science; Atmosphere (unit); Precipitation; Sea surface temperature; Seasonality; Southern Hemisphere; North Atlantic oscillation; Climate model; Climate change; Atmospheric sciences; Meteorology; Geography; Geology; Mathematics; Oceanography; Statistics","score_opus":0.009798213858170635,"score_gpt":0.22272998528099036,"score_spread":0.21293177142281972,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999165030","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915115,0.0008889795,0.0016380866,0.00090271456,0.00007486747,0.000006019486,0.0011962927,0.000054636326,0.0037268547],"genre_scores_gemma":[0.99827886,0.00020359523,0.00019121314,0.0000448733,0.000033762553,0.0000043262908,0.00062672026,0.000010674862,0.0006059378],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997507,0.000058014226,0.000020933576,0.00008392938,0.000039420618,0.00004690028],"domain_scores_gemma":[0.99798125,0.0009888837,0.00034521666,0.00029826933,0.00027563286,0.00011078124],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001426677,0.00022660001,0.00016304658,0.00042523004,0.00020229796,0.00078682206,0.0002801808,0.00045695514,0.002184703],"category_scores_gemma":[0.0053514936,0.00019947068,0.00043937942,0.0006340052,0.00047929768,0.0009214947,0.00064802106,0.00067415036,0.00038227695],"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":[0.00027010016,0.0001336825,0.9051038,0.000048756323,0.00046017498,0.00013927266,0.0002716633,0.04805402,0.0031556159,0.0047338298,0.0031216056,0.034507476],"study_design_scores_gemma":[0.000010172879,0.00003139719,0.9693234,0.000015662697,0.000043786175,0.00004086804,0.00010671243,0.026212825,0.00045064327,0.00238728,0.0013678157,0.000009561814],"about_ca_topic_score_codex":0.01367491,"about_ca_topic_score_gemma":0.011699894,"teacher_disagreement_score":0.01367491,"about_ca_system_score_codex":0.00047370323,"about_ca_system_score_gemma":0.0004295607,"threshold_uncertainty_score":0.027190626},"labels":[],"label_agreement":null},{"id":"W1999636372","doi":"10.1007/s00382-011-1121-2","title":"Sensitivity of the southern annular mode to greenhouse gas emission scenarios","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Greenhouse gas; Environmental science; Ozone; Climatology; Ozone layer; Ozone depletion; Atmospheric sciences; Northern Hemisphere; Forcing (mathematics); Climate change; Montreal Protocol; Southern Hemisphere; Empirical orthogonal functions; Mode (computer interface); Stratosphere; Meteorology; Geography; Geology","score_opus":0.017310045671461487,"score_gpt":0.22555949433161185,"score_spread":0.20824944866015035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999636372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99428177,0.000115561415,0.0016011152,0.0003953122,0.000029402234,0.000006709893,0.00034878944,0.00006672782,0.0031546156],"genre_scores_gemma":[0.99944276,0.000038607202,0.00017613613,0.000020061592,0.0000055755113,0.0000029758016,0.00013333953,0.000008776113,0.000171632],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999752,0.00012972539,0.000006923741,0.000038813396,0.000019222178,0.00005341832],"domain_scores_gemma":[0.9983923,0.0010905534,0.00012255815,0.000114393966,0.00015961991,0.00012056732],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015914396,0.00038655265,0.00039612915,0.00030911365,0.0002946842,0.00097237155,0.00046844283,0.0007372357,0.001630108],"category_scores_gemma":[0.0041309893,0.00027703974,0.0006414323,0.00042241183,0.00045688392,0.00086972537,0.00049723056,0.0006259737,0.00014974442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006170399,0.000060807197,0.028147297,0.000030847463,0.00012729246,0.0001578781,0.00007467839,0.9574185,0.005347254,0.004097969,0.0012069549,0.0027134654],"study_design_scores_gemma":[0.0001014426,0.00010014008,0.033638917,0.000012501435,0.00007577996,0.000053627355,0.00016624414,0.95805645,0.0025717914,0.004386496,0.00079706445,0.000039634717],"about_ca_topic_score_codex":0.03433423,"about_ca_topic_score_gemma":0.012377691,"teacher_disagreement_score":0.03433423,"about_ca_system_score_codex":0.0008511267,"about_ca_system_score_gemma":0.00037768888,"threshold_uncertainty_score":0.068268776},"labels":[],"label_agreement":null},{"id":"W1999864011","doi":"10.1007/s00382-007-0267-4","title":"The impact of combined ENSO and PDO on the PNA climate: a 1,000-year climate modeling study","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":146,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Extratropical cyclone; Rossby wave; Pacific decadal oscillation; Anomaly (physics); Storm track; Environmental science; Subtropics; Atmospheric circulation; Middle latitudes; Climate model; Sea surface temperature; Atmospheric sciences; Geology; Climate change; Oceanography; Storm","score_opus":0.017270870660841108,"score_gpt":0.2764819437159106,"score_spread":0.2592110730550695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999864011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682224,0.00016614675,0.00047351865,0.00023174309,0.000016438195,0.000009934288,0.0006597447,0.000043625078,0.0015766],"genre_scores_gemma":[0.99809855,0.00017722289,0.00046345222,0.00003316915,0.000022315977,0.000017150653,0.00062381,0.00003445591,0.0005298659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947673,0.0002363446,0.000024422645,0.00012074133,0.00006739958,0.00007436097],"domain_scores_gemma":[0.99789363,0.0012488981,0.00018886117,0.00018025728,0.00023351666,0.00025476416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017506942,0.0009390501,0.0006768758,0.00056274823,0.00094194623,0.0015126502,0.0010828184,0.0012725936,0.0014529688],"category_scores_gemma":[0.0036319776,0.0007062703,0.0011833356,0.0013340598,0.000584755,0.0022273106,0.0009464888,0.0010406986,0.0002945693],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019971323,0.0013338026,0.37642714,0.0001608243,0.0009885394,0.0006917129,0.00033662852,0.58988696,0.0042628814,0.0026571073,0.003235669,0.018021572],"study_design_scores_gemma":[0.00025587596,0.00038003363,0.23556979,0.000019234505,0.0004600521,0.0001603583,0.00039300055,0.7569786,0.0021609836,0.0011994742,0.0023667265,0.000055843666],"about_ca_topic_score_codex":0.06424459,"about_ca_topic_score_gemma":0.055216894,"teacher_disagreement_score":0.06424459,"about_ca_system_score_codex":0.0019083885,"about_ca_system_score_gemma":0.0010809524,"threshold_uncertainty_score":0.12774128},"labels":[],"label_agreement":null},{"id":"W1999944782","doi":"10.1007/s00382-003-0361-1","title":"Nonlinear interdecadal changes of the El Ni�o-Southern Oscillation","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climatology; Sea surface temperature; El Niño Southern Oscillation; Mode (computer interface); Oscillation (cell signaling); Wind stress; Nonlinear system; Geology; Asymmetry; Atmospheric sciences; Environmental science; Physics","score_opus":0.012180016413974407,"score_gpt":0.23543075137139166,"score_spread":0.22325073495741726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999944782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905952,0.0002160277,0.0019149329,0.001072601,0.000054232834,0.000006556315,0.00045024662,0.000063802276,0.005626406],"genre_scores_gemma":[0.9984334,0.00011047707,0.00018739021,0.00002996408,0.000015478206,0.0000045352217,0.00015137567,0.000013235639,0.0010542213],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999219,0.000021827023,0.000004653721,0.000023347382,0.000011384793,0.000016757],"domain_scores_gemma":[0.9997173,0.00007838433,0.00007154269,0.00003314263,0.00005356798,0.000046111465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051624596,0.00023688446,0.00015465332,0.00031533078,0.0004168784,0.0009725731,0.0002876705,0.00052336947,0.0016101656],"category_scores_gemma":[0.0022941083,0.0002340336,0.00027453658,0.0004940081,0.00042496968,0.0007762834,0.00068751205,0.00054478337,0.00021203129],"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":[0.0005736566,0.00014500036,0.5658522,0.00010442131,0.00031580147,0.00029117835,0.0012805117,0.36017138,0.007045744,0.031732302,0.006346001,0.026141822],"study_design_scores_gemma":[0.00007298728,0.000038864633,0.4988787,0.000033166998,0.00007853823,0.000094910436,0.0006585747,0.47639778,0.0005051572,0.014529608,0.008670339,0.00004141402],"about_ca_topic_score_codex":0.029458344,"about_ca_topic_score_gemma":0.03235555,"teacher_disagreement_score":0.029458344,"about_ca_system_score_codex":0.0012357379,"about_ca_system_score_gemma":0.0005932135,"threshold_uncertainty_score":0.058573782},"labels":[],"label_agreement":null},{"id":"W2001152397","doi":"10.1007/s00382-004-0516-8","title":"The greening of the McGill Paleoclimate Model. Part II: Simulation of Holocene millennial-scale natural climate changes","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Holocene; Paleoclimatology; Climatology; Orbital forcing; Northern Hemisphere; Geology; Climate change; Boreal; Holocene climatic optimum; Vegetation (pathology); Climate model; Ice sheet; Physical geography; Insolation; Oceanography; Geography; Paleontology","score_opus":0.017120256230302312,"score_gpt":0.24810728896001194,"score_spread":0.23098703272970963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001152397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87688524,0.0013279777,0.058789812,0.004140321,0.000798561,0.00031004363,0.013921085,0.0033081071,0.040518925],"genre_scores_gemma":[0.96223503,0.00029123976,0.028557237,0.0004422913,0.000072784525,0.0002070974,0.0031170032,0.0011024078,0.0039748764],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996985,0.00012302797,0.000012207539,0.000051103827,0.000050328763,0.00006497944],"domain_scores_gemma":[0.9987237,0.0006191698,0.00008016936,0.00013215475,0.0001865235,0.00025822065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011643698,0.00089774467,0.00078014255,0.00043332035,0.0009107704,0.0012262744,0.003809259,0.0016060615,0.005770275],"category_scores_gemma":[0.0050228317,0.0010009196,0.0007695749,0.0007334233,0.0007056318,0.001592142,0.0011733884,0.0020122477,0.0004807798],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002207505,0.00009161803,0.003580062,0.000041693656,0.00007739145,0.00005789264,0.00008743054,0.9789256,0.0008184674,0.0039545484,0.005495617,0.006649028],"study_design_scores_gemma":[0.000085689906,0.000013967883,0.00088851765,0.0000075979588,0.000022075536,0.0000043446053,0.000014825605,0.9960569,0.0003339229,0.0010098472,0.0015446087,0.00001773009],"about_ca_topic_score_codex":0.38789856,"about_ca_topic_score_gemma":0.3697771,"teacher_disagreement_score":0.38789856,"about_ca_system_score_codex":0.0043203784,"about_ca_system_score_gemma":0.0047804965,"threshold_uncertainty_score":0.7712815},"labels":[],"label_agreement":null},{"id":"W2001964981","doi":"10.1007/s00382-001-0186-8","title":"On the causes of glacial inception at 116 kaBP","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Glacial period; Geology; Sea ice; Glacier; Snow; Sea surface temperature; Precipitation; Vegetation (pathology); Environmental science; Geography; Geomorphology; Meteorology","score_opus":0.025484609547562924,"score_gpt":0.23346075954473686,"score_spread":0.20797614999717393,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2001964981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9851076,0.0013425176,0.0003530198,0.0023397394,0.000089737405,0.000016066904,0.0015411265,0.000045842076,0.009164426],"genre_scores_gemma":[0.9984164,0.0003866937,0.000077221404,0.000060110335,0.00004120042,0.000003615036,0.000347474,0.000013284023,0.000654065],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997876,0.000030310126,0.000029157469,0.00004048253,0.00003452363,0.00007784022],"domain_scores_gemma":[0.9978054,0.0005053837,0.0006264728,0.0001245223,0.00066120713,0.00027693296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010069655,0.00026477323,0.0002987119,0.0022707528,0.0011656232,0.0015396153,0.0004952073,0.0007098885,0.005138275],"category_scores_gemma":[0.003725239,0.00034622388,0.0003306353,0.0017071547,0.0011119171,0.0006450471,0.0011208742,0.00089395104,0.00034198829],"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":[0.00036038863,0.000044493885,0.95113224,0.00012685504,0.00013888655,0.00084613875,0.0018032884,0.0033635334,0.0020492452,0.01039249,0.0045203785,0.025222015],"study_design_scores_gemma":[0.000010797403,0.000015414496,0.9919058,0.000037445818,0.000046440226,0.00010523836,0.00096197764,0.0013171291,0.00047930147,0.0013267115,0.0037811636,0.000012355989],"about_ca_topic_score_codex":0.060043305,"about_ca_topic_score_gemma":0.083859846,"teacher_disagreement_score":0.060043305,"about_ca_system_score_codex":0.0020773623,"about_ca_system_score_gemma":0.001255732,"threshold_uncertainty_score":0.11938763},"labels":[],"label_agreement":null},{"id":"W2002979530","doi":"10.1007/s00382-004-0515-9","title":"The greening of the McGill Paleoclimate Model. Part I: Improved land surface scheme with vegetation dynamics","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Albedo (alchemy); Environmental science; Climatology; Vegetation (pathology); Evergreen; Paleoclimatology; Deciduous; Climate model; Leaf area index; Atmospheric sciences; Climate change; Geology; Ecology","score_opus":0.011751267953509842,"score_gpt":0.21952890390985083,"score_spread":0.207777635956341,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002979530","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":[0.40561423,0.0016747051,0.5274971,0.0023060665,0.0012435539,0.0003507809,0.012942674,0.008839238,0.039531644],"genre_scores_gemma":[0.83082026,0.00028930712,0.15213914,0.00035026416,0.00011803674,0.00021578315,0.003590793,0.0023090215,0.010167264],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979454,0.000064277476,0.000010480648,0.00002951218,0.00006504272,0.000036135534],"domain_scores_gemma":[0.99955565,0.00009709241,0.000026325624,0.00012449281,0.00013720628,0.000059268034],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006970047,0.00044647304,0.0005045634,0.00027218575,0.0004097897,0.00075039046,0.0029085197,0.00071814435,0.0054488434],"category_scores_gemma":[0.0028948423,0.0004766665,0.00043268592,0.0005349699,0.00029075844,0.0012469628,0.0008933507,0.0011488206,0.0008117356],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030189008,0.00008584073,0.0041677495,0.00006885115,0.000084469284,0.00006412946,0.00009606539,0.8817997,0.00499507,0.016426535,0.016407367,0.07550233],"study_design_scores_gemma":[0.000036691563,0.000008114162,0.000684619,0.0000051083607,0.000010149165,0.0000035818998,0.0000044476656,0.9939429,0.0007786149,0.0016057447,0.0029083032,0.000011694403],"about_ca_topic_score_codex":0.16408001,"about_ca_topic_score_gemma":0.18756427,"teacher_disagreement_score":0.16408001,"about_ca_system_score_codex":0.0018860948,"about_ca_system_score_gemma":0.0022847196,"threshold_uncertainty_score":0.32624996},"labels":[],"label_agreement":null},{"id":"W2003318544","doi":"10.1007/s00382-011-1103-4","title":"A 40-year accumulation dataset for Adelie Land, Antarctica and its application for model validation","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Institut Polaire Français Paul Emile Victor; Polar Knowledge Canada","keywords":"Climatology; Plateau (mathematics); Environmental science; Standard deviation; Spatial ecology; Scale (ratio); General Circulation Model; Geology; Climate change; Oceanography; Geography; Cartography","score_opus":0.07993825221867118,"score_gpt":0.31005966601459645,"score_spread":0.23012141379592527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003318544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.53685766,0.00056161167,0.005773304,0.0005449414,0.00023533097,0.00023661832,0.44858444,0.0025544094,0.0046515856],"genre_scores_gemma":[0.34408313,0.0004480777,0.018453533,0.000105113846,0.00009817077,0.00042190382,0.63402146,0.00049227057,0.0018763749],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966896,0.000056442404,0.00004482245,0.000081743245,0.00010454092,0.000043557076],"domain_scores_gemma":[0.99820256,0.00022379738,0.00016853512,0.0005704681,0.0006825698,0.00015214644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012065247,0.00092977466,0.00077031663,0.0018664153,0.0008238444,0.00084176764,0.001252443,0.0012922968,0.0031544126],"category_scores_gemma":[0.0023978346,0.00046167625,0.0010369587,0.003854157,0.00052988814,0.0009054418,0.00083025265,0.00083486986,0.0021197523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022340459,0.0011427748,0.16041282,0.0014936702,0.0016506449,0.0013375204,0.00080116757,0.52486145,0.02098532,0.002927697,0.16173397,0.12041889],"study_design_scores_gemma":[0.0014721632,0.00024015257,0.5895577,0.00030635705,0.00054267986,0.00045181208,0.00049684825,0.26407078,0.015560741,0.0034106986,0.123601004,0.0002890344],"about_ca_topic_score_codex":0.07377588,"about_ca_topic_score_gemma":0.07663725,"teacher_disagreement_score":0.07377588,"about_ca_system_score_codex":0.00086411124,"about_ca_system_score_gemma":0.002400712,"threshold_uncertainty_score":0.14669293},"labels":[],"label_agreement":null},{"id":"W2003578044","doi":"10.1007/s00382-007-0266-5","title":"Time mean and variability of the scale-decomposed atmospheric water budget in a 25-year simulation of the Canadian Regional Climate Model over North America","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Environmental science; Climate model; Forcing (mathematics); Scale (ratio); Monsoon; Seasonality; Atmospheric sciences; Climate change; Geography; Geology; Oceanography","score_opus":0.006941568241834654,"score_gpt":0.21296586191504643,"score_spread":0.2060242936732118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2003578044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955753,0.00012914588,0.0005190019,0.00034857471,0.00003432972,0.000009920129,0.0016090524,0.000111190755,0.0016634256],"genre_scores_gemma":[0.99795675,0.00006940884,0.0004351915,0.000045466233,0.0000052470314,0.000007490844,0.0009839911,0.00002581283,0.00047061522],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981624,0.000021765125,0.000010195624,0.000056078603,0.00003915478,0.000056508412],"domain_scores_gemma":[0.9993629,0.00016733973,0.000055272216,0.00003535513,0.00024419784,0.00013491543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059691904,0.00043214552,0.00036885118,0.00039519693,0.0011785508,0.0010512503,0.001197968,0.0011177527,0.0012519171],"category_scores_gemma":[0.0020723676,0.0005148113,0.0005728154,0.00069268653,0.00095580064,0.00052491593,0.00038241365,0.0010995782,0.00012960476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003319214,0.00021691572,0.08751683,0.00006531446,0.0002822065,0.00017691724,0.00023256306,0.89362293,0.0042970623,0.002214511,0.0065331846,0.0045096665],"study_design_scores_gemma":[0.00010495436,0.000034830635,0.113400206,0.000013972124,0.0000954672,0.000027232007,0.0002137052,0.88294435,0.0011393318,0.00042370992,0.0015345749,0.00006767644],"about_ca_topic_score_codex":0.93525106,"about_ca_topic_score_gemma":0.9323225,"teacher_disagreement_score":0.06474894,"about_ca_system_score_codex":0.009787581,"about_ca_system_score_gemma":0.008053203,"threshold_uncertainty_score":0.13026047},"labels":[],"label_agreement":null},{"id":"W2004692417","doi":"10.1007/s00382-007-0283-4","title":"Impact of doubled CO2 on the interaction between the global and regional water cycles in four study regions","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Department of Defense; National Center for Atmospheric Research; National Science Foundation","keywords":"Evapotranspiration; Climatology; Environmental science; Northern Hemisphere; Precipitation; Boreal; Climate model; Water cycle; Moisture; Southern Hemisphere; Climate change; Annual cycle; Atmospheric sciences; Geology; Meteorology; Geography","score_opus":0.04279178782738501,"score_gpt":0.31898001686731403,"score_spread":0.276188229039929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004692417","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990283,0.000035339588,0.000158388,0.00004416037,0.000007129359,0.000006715257,0.00035406937,0.000025805677,0.00034006577],"genre_scores_gemma":[0.9990018,0.000024335892,0.0002981953,0.000018152097,0.0000022444956,0.0000115881285,0.000528917,0.000014697774,0.00010017683],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996045,0.00014950501,0.000021987227,0.00010112397,0.00003815165,0.00008464645],"domain_scores_gemma":[0.9992592,0.00038024492,0.00006902522,0.00006413151,0.00011017709,0.000117288044],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009024694,0.0008286724,0.0008515867,0.00038570457,0.0006384079,0.0009287724,0.00094151817,0.0009526495,0.00088734017],"category_scores_gemma":[0.0018239277,0.00052763807,0.0013777673,0.00059904665,0.00072995364,0.00071694603,0.000703132,0.00075826666,0.00009610406],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010802739,0.0003183956,0.19001517,0.00009670897,0.00074772927,0.000531871,0.00015203738,0.7917064,0.010533171,0.00058419525,0.0007268358,0.0035072349],"study_design_scores_gemma":[0.0005065021,0.0010543974,0.17313021,0.000019858273,0.000426986,0.0001475686,0.00054266286,0.8137228,0.008795583,0.00046928163,0.0010791599,0.00010497425],"about_ca_topic_score_codex":0.09451766,"about_ca_topic_score_gemma":0.07640889,"teacher_disagreement_score":0.09451766,"about_ca_system_score_codex":0.0016049723,"about_ca_system_score_gemma":0.0011333341,"threshold_uncertainty_score":0.187935},"labels":[],"label_agreement":null},{"id":"W2005050705","doi":"10.1007/s00382-009-0536-5","title":"Past, present and future vegetation-cloud feedbacks in the Amazon Basin","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Vegetation (pathology); Climatology; Amazon rainforest; Last Glacial Maximum; Environmental science; Atmosphere (unit); Cloud cover; Climate model; Glacial period; Climate change; Amazonian; Atmospheric sciences; Geology; Cloud computing; Meteorology; Geography; Oceanography; Geomorphology; Ecology","score_opus":0.003982122422515866,"score_gpt":0.2004938690985574,"score_spread":0.19651174667604154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005050705","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99852365,0.0002833501,0.00008299725,0.00039241448,0.000004874001,0.000001591956,0.00016470406,0.000008756368,0.00053768884],"genre_scores_gemma":[0.9997271,0.000096842436,0.000028356892,0.000012232444,0.0000036319739,5.9493516e-7,0.000036726724,0.0000019600263,0.00009257414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993944,0.000013120853,0.000006016693,0.000012749005,0.000012490595,0.000016214486],"domain_scores_gemma":[0.99966526,0.00012350563,0.00007052228,0.00001651806,0.00006081239,0.00006334968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003298856,0.00009064356,0.00018748558,0.00031929126,0.00039456133,0.0007722254,0.00027495806,0.00031795315,0.0014607718],"category_scores_gemma":[0.0010626029,0.00016075507,0.0001436126,0.00047769267,0.0004393499,0.0007057109,0.0003139497,0.00024334164,0.00007922337],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00069476856,0.00015270557,0.92492026,0.00015422076,0.00020861809,0.00058805995,0.0016132478,0.012318604,0.028073754,0.0050866464,0.0012352607,0.024953822],"study_design_scores_gemma":[0.0000335979,0.00002642388,0.977482,0.00001072037,0.000054853204,0.00010651576,0.00066065683,0.017916469,0.00076089456,0.0012434989,0.0016890911,0.000015158958],"about_ca_topic_score_codex":0.05385911,"about_ca_topic_score_gemma":0.110012196,"teacher_disagreement_score":0.05385911,"about_ca_system_score_codex":0.0012069506,"about_ca_system_score_gemma":0.00042731463,"threshold_uncertainty_score":0.10709125},"labels":[],"label_agreement":null},{"id":"W2005159810","doi":"10.1007/s00382-012-1354-8","title":"How does coldwave frequency in china respond to a warming climate?","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"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; Climate Extremes; U.S. Department of Energy","keywords":"Climatology; Empirical orthogonal functions; China; Environmental science; Subtropical ridge; Forcing (mathematics); Global warming; Coupled model intercomparison project; Subtropics; Climate model; Period (music); Climate change; Southern china; General Circulation Model; Geography; Meteorology; Geology; Precipitation; Oceanography","score_opus":0.010785516290806436,"score_gpt":0.23884186459298332,"score_spread":0.2280563483021769,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005159810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958675,0.00017099878,0.00062409503,0.0012926599,0.00003875203,0.0000050622275,0.00027412598,0.000023062874,0.0017037622],"genre_scores_gemma":[0.9993561,0.000100387784,0.000046074892,0.000050329807,0.000013175524,0.000002277559,0.00007925681,0.0000050868257,0.00034729452],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998596,0.000026248981,0.0000067855044,0.000033833887,0.000013039311,0.00006052055],"domain_scores_gemma":[0.9996836,0.000065039225,0.00007640747,0.000038387385,0.00006160857,0.000074932046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005499329,0.00029540487,0.00031355067,0.0005129253,0.0005346503,0.0012083523,0.0005274369,0.00076091057,0.0024049308],"category_scores_gemma":[0.0012257384,0.000278997,0.0006364423,0.0009282725,0.00055635156,0.00097125274,0.00046002844,0.00046719148,0.00020862771],"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":[0.00024024985,0.00010623429,0.86032486,0.00009637183,0.00036176213,0.0003405562,0.0011250488,0.09889838,0.008126888,0.01068721,0.0036703965,0.016022088],"study_design_scores_gemma":[0.00003159907,0.000043169144,0.86906374,0.000013965978,0.0001153847,0.00004574946,0.0009830777,0.12194689,0.0006218726,0.005045702,0.0020477057,0.00004120596],"about_ca_topic_score_codex":0.07999926,"about_ca_topic_score_gemma":0.0528314,"teacher_disagreement_score":0.07999926,"about_ca_system_score_codex":0.001717261,"about_ca_system_score_gemma":0.0009423219,"threshold_uncertainty_score":0.15906721},"labels":[],"label_agreement":null},{"id":"W2005192596","doi":"10.1007/s00382-001-0201-0","title":"Downscaling ability of one-way nested regional climate models: the Big-Brother Experiment","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":317,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GLS Industries (Canada); Université du Québec à Montréal","funders":"","keywords":"Downscaling; Brother; Climatology; Climate model; Scale (ratio); Environmental science; Meteorology; Precipitation; Climate change; Geology; Geography; Cartography; Oceanography","score_opus":0.06218322852801219,"score_gpt":0.24720320416411273,"score_spread":0.18501997563610054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005192596","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985835,0.0000790132,0.01251015,0.0003278128,0.000062519495,0.000014112634,0.00021423478,0.00025589758,0.0007012875],"genre_scores_gemma":[0.9912732,0.00003531774,0.007927947,0.00007063611,0.000014827499,0.000018899662,0.0003818084,0.00011365207,0.00016380419],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987637,0.00081904297,0.00003967695,0.00023352576,0.00008215275,0.000062012856],"domain_scores_gemma":[0.9875858,0.008289925,0.00074489345,0.0023221967,0.0004949979,0.00056214666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007415368,0.0008170039,0.00092575746,0.00021786698,0.0007556745,0.0008674308,0.0015283825,0.0010314726,0.0010599606],"category_scores_gemma":[0.020405404,0.0005339404,0.0009384463,0.00030873547,0.0010790789,0.0028438873,0.0010786909,0.0020143804,0.00012468261],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0061963084,0.0017333624,0.051438447,0.00010809275,0.0010919702,0.00014442629,0.0008414527,0.8747243,0.007440685,0.016512832,0.004521581,0.035246514],"study_design_scores_gemma":[0.00045003727,0.0002453988,0.0040623103,0.0000067244177,0.00011339223,0.000012605829,0.00005894707,0.9843538,0.0017430031,0.008619119,0.00029967155,0.000035014757],"about_ca_topic_score_codex":0.019483916,"about_ca_topic_score_gemma":0.013987631,"teacher_disagreement_score":0.019483916,"about_ca_system_score_codex":0.0005573943,"about_ca_system_score_gemma":0.0010873257,"threshold_uncertainty_score":0.039216697},"labels":[],"label_agreement":null},{"id":"W2007011502","doi":"10.1007/s00382-010-0790-6","title":"Time-dependent response of a zonally averaged ocean–atmosphere–sea ice model to Milankovitch forcing","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Sea ice; Geology; Arctic ice pack; Climatology; Sea ice thickness; Milankovitch cycles; Cryosphere; Forcing (mathematics); Arctic sea ice decline; Sea ice concentration; Drift ice; Antarctic sea ice; Atmosphere (unit); Oceanography; Glacial period; Meteorology; Geomorphology","score_opus":0.007190613761046956,"score_gpt":0.21323035478755076,"score_spread":0.2060397410265038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007011502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996336,0.00007860826,0.0009173954,0.00038665452,0.000060309398,0.0000075690136,0.00046373106,0.00011993395,0.0016298484],"genre_scores_gemma":[0.9988368,0.000034668483,0.00024814153,0.000031866333,0.000008083793,0.000005649735,0.00033621595,0.000025633097,0.00047284472],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998989,0.00003177794,0.000006045102,0.000029296969,0.000008469669,0.000025432246],"domain_scores_gemma":[0.99943966,0.00026401423,0.00005444128,0.000048158854,0.000094640905,0.000099083736],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040043544,0.000412534,0.00054647826,0.00025943958,0.00055358006,0.0007193341,0.0006331312,0.0010572381,0.0018544234],"category_scores_gemma":[0.0021415693,0.00037303913,0.0004652798,0.0002531168,0.00047426394,0.0005157961,0.00050101854,0.0008924634,0.00022443093],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022879228,0.000046660825,0.0076746773,0.00002398602,0.000073474104,0.000053547945,0.00004002711,0.9863753,0.003511636,0.000588558,0.00056841,0.00081488834],"study_design_scores_gemma":[0.00004732596,0.0000446388,0.005824041,0.000004006763,0.000025596824,0.0000071675704,0.000023338847,0.9926483,0.0010025831,0.00017302649,0.00018500592,0.000014920461],"about_ca_topic_score_codex":0.08095065,"about_ca_topic_score_gemma":0.03973238,"teacher_disagreement_score":0.08095065,"about_ca_system_score_codex":0.0013028199,"about_ca_system_score_gemma":0.0012348191,"threshold_uncertainty_score":0.16095895},"labels":[],"label_agreement":null},{"id":"W2007317259","doi":"10.1007/s00382-013-1752-6","title":"Asian monsoon simulations by Community Climate Models CAM4 and CCSM4","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Monsoon; Precipitation; Teleconnection; Environmental science; Climate model; Atmospheric model; Atmospheric sciences; Sea surface temperature; East Asian Monsoon; Climate change; Meteorology; Geology; El Niño Southern Oscillation; Geography","score_opus":0.015409384995697542,"score_gpt":0.2304765543151836,"score_spread":0.21506716931948605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007317259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9569839,0.00030362105,0.005733946,0.0015235821,0.00038130657,0.00008040172,0.013123863,0.0017254192,0.020144027],"genre_scores_gemma":[0.9887932,0.00015112707,0.0036091416,0.000120240824,0.00008467473,0.00010393499,0.0051465956,0.00035998825,0.0016311391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963427,0.00012436624,0.00003229184,0.00007929505,0.00005169353,0.0000780386],"domain_scores_gemma":[0.99857235,0.00035975862,0.00011778091,0.00019888375,0.00044985462,0.0003013998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011622156,0.001108455,0.00088441966,0.00059659965,0.0009578833,0.0011898136,0.002177302,0.0013096319,0.0071520032],"category_scores_gemma":[0.0024753981,0.0006464506,0.0012950511,0.002565035,0.00055202993,0.0019424564,0.0009679866,0.0018039545,0.00086113403],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009139821,0.00043904682,0.027305687,0.00018583181,0.00051240023,0.00021648152,0.00024228856,0.93749976,0.002677378,0.004957214,0.014262087,0.010787874],"study_design_scores_gemma":[0.0005648831,0.00007733442,0.009404642,0.000014450845,0.00013068959,0.00002046879,0.00014449557,0.9830935,0.0018749626,0.0018208496,0.0027926657,0.000061054634],"about_ca_topic_score_codex":0.12984532,"about_ca_topic_score_gemma":0.08183327,"teacher_disagreement_score":0.12984532,"about_ca_system_score_codex":0.0020083082,"about_ca_system_score_gemma":0.0030704308,"threshold_uncertainty_score":0.25817907},"labels":[],"label_agreement":null},{"id":"W2007579436","doi":"10.1007/s00382-015-2623-0","title":"How does large-scale nudging in a regional climate model contribute to improving the simulation of weather regimes and seasonal extremes over North America?","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Deutsche Forschungsgemeinschaft","keywords":"Climatology; Environmental science; Precipitation; Atmospheric circulation; Climate model; Atmospheric sciences; Scale (ratio); Climate change; Synoptic scale meteorology; Meteorology; Geography; Geology","score_opus":0.016564941900316512,"score_gpt":0.24064851151142322,"score_spread":0.2240835696111067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007579436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8388207,0.0006500595,0.14500041,0.0048317974,0.00053723005,0.000056191606,0.00085467054,0.0013425967,0.007906182],"genre_scores_gemma":[0.976151,0.00023813611,0.022391671,0.00021218455,0.000060531267,0.0000210227,0.00018264745,0.00020403175,0.0005387728],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999616,0.00020168968,0.000027733984,0.000090446265,0.000028293829,0.000035855202],"domain_scores_gemma":[0.99684805,0.0015043106,0.0003691147,0.00063039805,0.00033993545,0.00030817816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020435124,0.00064792414,0.0010543428,0.0002614594,0.0007456544,0.0018363546,0.0022018526,0.0016876084,0.0025397288],"category_scores_gemma":[0.012843382,0.00071196986,0.00065113883,0.0005639486,0.0009428737,0.0050262837,0.0012496106,0.0016660112,0.00035518475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008044221,0.0000746331,0.01735332,0.000035039862,0.000091542985,0.00003142469,0.000083624975,0.9687319,0.00068652036,0.0036694908,0.00066427805,0.008497745],"study_design_scores_gemma":[0.00002520404,0.0000145580725,0.0011840303,0.000008876007,0.000017766604,0.0000058186515,0.000040660445,0.99477,0.00025350062,0.0031648092,0.0004991767,0.000015570065],"about_ca_topic_score_codex":0.041694846,"about_ca_topic_score_gemma":0.03939997,"teacher_disagreement_score":0.9583052,"about_ca_system_score_codex":0.0007360767,"about_ca_system_score_gemma":0.0014232723,"threshold_uncertainty_score":0.08290434},"labels":[],"label_agreement":null},{"id":"W2007632190","doi":"10.1007/s00382-014-2397-9","title":"Impact of interactive vegetation phenology on the Canadian RCM simulated climate over North America","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"","keywords":"Biosphere; Phenology; Environmental science; Vegetation (pathology); Precipitation; Atmosphere (unit); Climatology; Climate change; Atmospheric sciences; Ecosystem; Leaf area index; Climate model; Biosphere model; Ecology; Meteorology; Geography; Geology","score_opus":0.009344963475523863,"score_gpt":0.2533858317625494,"score_spread":0.24404086828702556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007632190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880409,0.00035065014,0.0008377592,0.00033927258,0.000035577505,0.000029515835,0.004494379,0.0002879241,0.0055838334],"genre_scores_gemma":[0.9950269,0.00015349434,0.0012271741,0.000075142794,0.000006773489,0.000022067452,0.002632586,0.000054558906,0.0008012485],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995696,0.00006300394,0.000014975656,0.00012326025,0.000103530096,0.00012556661],"domain_scores_gemma":[0.9991429,0.0001636516,0.000058047837,0.000059520935,0.0004354302,0.00014046673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006509353,0.0010635611,0.000562921,0.00070787035,0.0014204694,0.0010457833,0.0017829651,0.0009038131,0.0015361914],"category_scores_gemma":[0.0017604404,0.0004940025,0.0009847,0.0012671895,0.0005941234,0.00044438484,0.00049295893,0.0006113615,0.0001886472],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024426618,0.00010443544,0.08295479,0.000097819335,0.00028227837,0.00016048603,0.0001351093,0.9019589,0.0022137794,0.00095074635,0.0037975602,0.007099944],"study_design_scores_gemma":[0.00021796991,0.000042335338,0.118090004,0.00003093358,0.0001408759,0.000043249736,0.00013622514,0.8766627,0.0011465506,0.0001769931,0.0032188236,0.00009327263],"about_ca_topic_score_codex":0.9772273,"about_ca_topic_score_gemma":0.96704894,"teacher_disagreement_score":0.02277273,"about_ca_system_score_codex":0.016143743,"about_ca_system_score_gemma":0.014598148,"threshold_uncertainty_score":0.11713159},"labels":[],"label_agreement":null},{"id":"W2008198311","doi":"10.1007/s00382-003-0359-8","title":"The role of the Atlantic freshwater balance in the hysteresis of the meridional overturning circulation","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Thermohaline circulation; Forcing (mathematics); Shutdown of thermohaline circulation; Climatology; Equator; Geology; Salinity; North Atlantic Deep Water; Ocean current; Orbital forcing; Water balance; Environmental science; Oceanography; Climate change; Latitude","score_opus":0.0061092099707906865,"score_gpt":0.19651283748261877,"score_spread":0.1904036275118281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008198311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98567975,0.00043109574,0.007880077,0.000698186,0.000042327578,0.0000066288803,0.00009280448,0.00006488443,0.005104262],"genre_scores_gemma":[0.9994777,0.00007194176,0.000192785,0.000012751628,0.000015095927,9.645397e-7,0.000008335824,0.000008899219,0.00021146511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995065,0.000012248348,0.0000034552995,0.00001089663,0.0000063675534,0.000016472588],"domain_scores_gemma":[0.9996768,0.0001553278,0.00004738952,0.000038906943,0.000026986983,0.000054572993],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003441461,0.0001740655,0.0002229527,0.00020324066,0.00048341317,0.0012288796,0.0004299302,0.0005160236,0.0015198867],"category_scores_gemma":[0.001619009,0.00022541442,0.00025600448,0.00021003402,0.00080667646,0.0013496212,0.00058355235,0.000498305,0.00010939044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014362821,0.0003169247,0.17803614,0.0002243871,0.00026843714,0.0009161613,0.0010877398,0.4732925,0.10947418,0.17006716,0.0026376212,0.06224243],"study_design_scores_gemma":[0.00008831773,0.00007408697,0.09626081,0.00001617217,0.00005514315,0.00014303728,0.00014405,0.8368409,0.0020000918,0.062919885,0.0014135231,0.000043985172],"about_ca_topic_score_codex":0.0054749735,"about_ca_topic_score_gemma":0.0035414952,"teacher_disagreement_score":0.0054749735,"about_ca_system_score_codex":0.00051252113,"about_ca_system_score_gemma":0.0005231834,"threshold_uncertainty_score":0.010886252},"labels":[],"label_agreement":null},{"id":"W2008206615","doi":"10.1007/s00382-005-0081-9","title":"Past and future polar amplification of climate change: climate model intercomparisons and ice-core constraints","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":291,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Office of Science; Centre National de la Recherche Scientifique; Lawrence Livermore National Laboratory; U.S. Department of Energy","keywords":"Climatology; Interglacial; Climate change; Environmental science; Climate model; Ice core; Ice sheet; Glacial period; Last Glacial Maximum; Orbital forcing; Atmospheric sciences; Greenland ice sheet; Climate state; Abrupt climate change; Forcing (mathematics); Polar; Global warming; Geology; Effects of global warming; Oceanography; Physics","score_opus":0.03163680158144906,"score_gpt":0.2754793371090894,"score_spread":0.24384253552764035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008206615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848381,0.0016544075,0.001711138,0.002559561,0.000069335496,0.000008093777,0.0011769573,0.000052685627,0.007929691],"genre_scores_gemma":[0.9983096,0.0004522056,0.00042370305,0.00009382542,0.000027953443,0.00000699681,0.00045177495,0.00002310993,0.00021088387],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995334,0.00020217177,0.00003756351,0.000104318715,0.000050770046,0.00007177109],"domain_scores_gemma":[0.9983272,0.0007739141,0.0002683658,0.00018083419,0.00029281466,0.00015695796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004668223,0.0004330484,0.00067172776,0.0008571637,0.0010348078,0.0031576694,0.0008149613,0.0008898031,0.0031589528],"category_scores_gemma":[0.0065696808,0.00043318135,0.00070348784,0.0011623142,0.0009604132,0.0035776738,0.0013380763,0.0008320747,0.00021337607],"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":[0.004286743,0.00021711997,0.673568,0.0003253149,0.001226415,0.0004910212,0.0014387349,0.22201434,0.010512277,0.044595994,0.0048065227,0.036517523],"study_design_scores_gemma":[0.00044733737,0.00018106369,0.65332615,0.00017252538,0.0007899578,0.0002536065,0.0020504696,0.28882495,0.005916291,0.03182014,0.016079377,0.00013804663],"about_ca_topic_score_codex":0.026842333,"about_ca_topic_score_gemma":0.026577733,"teacher_disagreement_score":0.026842333,"about_ca_system_score_codex":0.0019448114,"about_ca_system_score_gemma":0.0010778214,"threshold_uncertainty_score":0.053372145},"labels":[],"label_agreement":null},{"id":"W2008401121","doi":"10.1007/s00382-003-0352-2","title":"The role of land surface dynamics in glacial inception: a study with the UVic Earth System Model","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":357,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; Met Office; Killam Trusts; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; Environmental science; Vegetation (pathology); Snow; Climate model; Atmospheric sciences; Ice age; Global cooling; Orbital forcing; Glacial period; Climate change; Geology; Meteorology; Geography; Insolation; Oceanography","score_opus":0.008206477521999843,"score_gpt":0.2194611678359005,"score_spread":0.21125469031390065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2008401121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99502534,0.0001910655,0.0012048782,0.00043501984,0.000023003497,0.000008364162,0.000539359,0.000067543304,0.0025054298],"genre_scores_gemma":[0.9982821,0.00013879348,0.00046988772,0.000050852443,0.000013933781,0.000010155814,0.00030778054,0.000058621805,0.0006678301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998252,0.000077317905,0.0000079503425,0.000031350904,0.000011421414,0.000046809666],"domain_scores_gemma":[0.9973484,0.001844279,0.00019966462,0.00016039542,0.00017206208,0.00027516874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013767299,0.0006301305,0.0010871398,0.00059445895,0.0009627058,0.0017487496,0.0015057843,0.0013768307,0.0028685932],"category_scores_gemma":[0.005931677,0.00062918954,0.0009509936,0.0009489065,0.0008885611,0.0017261526,0.00061535515,0.0011961631,0.00022084713],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004121698,0.00015629632,0.031513073,0.000051010928,0.00014927587,0.00019799107,0.000088512046,0.9564305,0.0007038249,0.0055485065,0.0019652122,0.0027836005],"study_design_scores_gemma":[0.000113084076,0.00004862619,0.005405469,0.000007770098,0.00007433172,0.00001954295,0.00008108527,0.9924901,0.00023907478,0.0011646369,0.00034417672,0.000012018058],"about_ca_topic_score_codex":0.08964951,"about_ca_topic_score_gemma":0.045088943,"teacher_disagreement_score":0.08964951,"about_ca_system_score_codex":0.0016118654,"about_ca_system_score_gemma":0.0014293868,"threshold_uncertainty_score":0.17825538},"labels":[],"label_agreement":null},{"id":"W2009622562","doi":"10.1007/s00382-008-0401-y","title":"The influence of tropical Pacific forcing on the Arctic Oscillation","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; National Center for Atmospheric Research","keywords":"Climatology; Forcing (mathematics); Sea surface temperature; Extratropical cyclone; Pacific decadal oscillation; Environmental science; Northern Hemisphere; Anomaly (physics); Atmospheric circulation; Precipitation; Arctic oscillation; Tropical cyclone; Atmospheric sciences; Geology; Geography; Physics; Meteorology","score_opus":0.015422065600356477,"score_gpt":0.22154872579623267,"score_spread":0.2061266601958762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2009622562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98079324,0.000789559,0.0016346887,0.0019003915,0.00016727121,0.0000059506115,0.0005028558,0.000063593645,0.014142377],"genre_scores_gemma":[0.9980465,0.0006875082,0.00019255946,0.000057661826,0.000054183874,0.0000025873157,0.00009213463,0.000031543837,0.0008353866],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985147,0.00005760783,0.000007680099,0.00002419024,0.000019281506,0.00003982956],"domain_scores_gemma":[0.9988349,0.00067215844,0.000116428324,0.000087811575,0.0001501406,0.00013851533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007455369,0.00045465212,0.0002890757,0.00032178056,0.00092462957,0.0019436929,0.0003839773,0.0007385834,0.0028028588],"category_scores_gemma":[0.005474818,0.00036723685,0.0005138005,0.00053610315,0.0007333418,0.0010213543,0.0009312255,0.00092250976,0.00025838823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00094410137,0.00017100823,0.22708334,0.00021522431,0.0005986943,0.0007008188,0.0004593098,0.70225304,0.007961064,0.021720104,0.0059927152,0.031900585],"study_design_scores_gemma":[0.00015737447,0.00008575261,0.20166302,0.000069735266,0.0003804585,0.00015180405,0.00035414658,0.7754622,0.001936292,0.014422733,0.0052488083,0.00006758954],"about_ca_topic_score_codex":0.09226736,"about_ca_topic_score_gemma":0.068321005,"teacher_disagreement_score":0.09226736,"about_ca_system_score_codex":0.0011279731,"about_ca_system_score_gemma":0.0015854011,"threshold_uncertainty_score":0.1834606},"labels":[],"label_agreement":null},{"id":"W2010553433","doi":"10.1007/s00382-013-1893-7","title":"A long-term climatology of medicanes","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":179,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Climatology; Downscaling; Mesoscale meteorology; Environmental science; Extratropical cyclone; Troposphere; Tropical cyclone; Storm; Term (time); Mediterranean sea; Mediterranean climate; Disequilibrium; Atmospheric sciences; Geology; Climate change; Geography; Oceanography; Physics","score_opus":0.01202833864461301,"score_gpt":0.24450976147551365,"score_spread":0.23248142283090065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010553433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659475,0.0004338619,0.00050830323,0.0002881966,0.000040974257,0.000018487735,0.025256261,0.00005944279,0.007446967],"genre_scores_gemma":[0.9766599,0.00027335802,0.00090766174,0.00006555633,0.00006158447,0.000028076607,0.017731313,0.000011079101,0.0042614974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999356,0.000008145647,0.00000806932,0.00001814074,0.000018512068,0.000011524842],"domain_scores_gemma":[0.99950004,0.00004126603,0.00016950807,0.000032135686,0.00018176579,0.00007518719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017967336,0.00011779547,0.0000793706,0.0009288657,0.00025184263,0.0003204889,0.00014651983,0.00019528998,0.0021196797],"category_scores_gemma":[0.00044911867,0.00006812702,0.00010097749,0.0008459621,0.00006818207,0.00024322867,0.00036467542,0.0001853717,0.0005897802],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023057622,0.000085397296,0.952794,0.00012352878,0.00011109011,0.00015233735,0.0004798674,0.0013911594,0.00896441,0.0007089052,0.007954463,0.027004194],"study_design_scores_gemma":[0.0000018400832,0.00002390721,0.99413717,0.0000065207505,0.000007704454,0.000036857477,0.000075496915,0.00038155494,0.00023180139,0.000024788802,0.0050698565,0.0000025450631],"about_ca_topic_score_codex":0.01001462,"about_ca_topic_score_gemma":0.035306193,"teacher_disagreement_score":0.01001462,"about_ca_system_score_codex":0.0003506926,"about_ca_system_score_gemma":0.00036040085,"threshold_uncertainty_score":0.01991266},"labels":[],"label_agreement":null},{"id":"W2012115288","doi":"10.1007/s00382-014-2055-2","title":"Synoptic weather conditions and aerosol episodes over Indo-Gangetic Plains, India","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Indian Institute of Technology Kanpur; National Aeronautics and Space Administration","keywords":"Geopotential height; Climatology; Environmental science; Monsoon; Aerosol; Atmospheric circulation; AERONET; Teleconnection; Spatial distribution; Atmospheric sciences; Geography; Meteorology; Precipitation; Geology; El Niño Southern Oscillation","score_opus":0.0028135173385895663,"score_gpt":0.2015894756181513,"score_spread":0.19877595827956174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012115288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99859744,0.000038170976,0.000026468091,0.000031496602,0.000004164426,0.0000038175217,0.0008443188,0.000012143137,0.00044202598],"genre_scores_gemma":[0.9989961,0.000049937098,0.00003588803,0.000009223701,0.000008406432,0.000005208922,0.0007423454,0.0000016330234,0.00015127592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999126,0.000012831704,0.000013231618,0.000019506802,0.000014517614,0.000027288053],"domain_scores_gemma":[0.99974257,0.00006332499,0.000080725215,0.00002435289,0.000036193593,0.00005285352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016686744,0.00022158281,0.00021160372,0.00091026165,0.00048885215,0.00060832925,0.00034146104,0.0002990621,0.0009882052],"category_scores_gemma":[0.00034124346,0.00021528681,0.00024605353,0.0014746407,0.0003640939,0.00039730914,0.00044140837,0.00018595642,0.0001934827],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003303236,0.00010870791,0.9848274,0.00008714574,0.000214826,0.00075382076,0.0008388332,0.0033843948,0.0031628176,0.00022773957,0.0011962667,0.0048677013],"study_design_scores_gemma":[0.000007885297,0.000012252979,0.9984112,0.0000029940832,0.000021898926,0.00007157942,0.00033229875,0.00076538377,0.00009451431,0.000018078774,0.00025813468,0.0000037926768],"about_ca_topic_score_codex":0.054209914,"about_ca_topic_score_gemma":0.07131018,"teacher_disagreement_score":0.054209914,"about_ca_system_score_codex":0.00070985535,"about_ca_system_score_gemma":0.0004840391,"threshold_uncertainty_score":0.10778874},"labels":[],"label_agreement":null},{"id":"W2012170341","doi":"10.1007/s00382-011-1142-x","title":"Greening in the circumpolar high-latitude may amplify warming in the growing season","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Göteborgs Universitet","keywords":"Climatology; Tundra; Environmental science; Circumpolar star; Westerlies; Arctic oscillation; Atmospheric circulation; Anticyclone; Global warming; Arctic; Latitude; Growing season; Climate change; Atmospheric sciences; Northern Hemisphere; Geology; Oceanography; Ecology","score_opus":0.05501497960823973,"score_gpt":0.2469431384315773,"score_spread":0.19192815882333758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012170341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9931544,0.00036862626,0.0007495442,0.00037344862,0.000053993816,0.000012281812,0.00031759453,0.00005007303,0.0049198987],"genre_scores_gemma":[0.99766964,0.00026952673,0.00031086867,0.00024342768,0.000053363266,0.000011482266,0.00029753425,0.000041494364,0.0011025878],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989986,0.000016771435,0.0000051690477,0.00003437444,0.0000061517458,0.000037684767],"domain_scores_gemma":[0.99940443,0.00015410216,0.00012429485,0.000054013137,0.00007646564,0.0001866581],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041780298,0.00030358348,0.0007288033,0.000419122,0.0008462657,0.0014242979,0.00029431973,0.0005607468,0.0062205554],"category_scores_gemma":[0.00083186064,0.00037036964,0.00036703053,0.00039718396,0.00043681572,0.0007897677,0.000783612,0.00047331935,0.00043205242],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022393477,0.00047751248,0.57348335,0.00036583515,0.00036787835,0.00044470766,0.001273804,0.0037169673,0.37615964,0.005319993,0.0025401684,0.03361079],"study_design_scores_gemma":[0.000020246154,0.00008039662,0.99314004,0.000013203642,0.000037182126,0.000036391535,0.0004580831,0.00055495894,0.0022042461,0.0010461439,0.0023992443,0.000009988479],"about_ca_topic_score_codex":0.009074899,"about_ca_topic_score_gemma":0.03366641,"teacher_disagreement_score":0.009074899,"about_ca_system_score_codex":0.00054201804,"about_ca_system_score_gemma":0.00043288825,"threshold_uncertainty_score":0.02080983},"labels":[],"label_agreement":null},{"id":"W2012175801","doi":"10.1007/s00382-014-2235-0","title":"Seasonal and extreme precipitation characteristics for the watersheds of the Canadian Prairie Provinces as simulated by the NARCCAP multi-RCM ensemble","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan; National Research Council Canada; Université du Québec à Montréal","funders":"Agriculture and Agri-Food Canada; Natural Sciences and Engineering Research Council of Canada; University of Saskatchewan","keywords":"Precipitation; Climatology; Environmental science; Watershed; Climate model; Snow; General Circulation Model; Climate change; Atmospheric sciences; Meteorology; Geography; Geology","score_opus":0.017901593121984333,"score_gpt":0.2350015192371232,"score_spread":0.21709992611513887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012175801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98197764,0.0002069261,0.00068373553,0.00021318538,0.000025869525,0.000021930067,0.013745106,0.00023120297,0.0028944572],"genre_scores_gemma":[0.99001557,0.00010581722,0.000822155,0.00003000477,0.000006242564,0.000012955893,0.008339418,0.00003326411,0.00063459703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979514,0.000015252839,0.000010619438,0.00006259308,0.00005228471,0.000064049025],"domain_scores_gemma":[0.9993819,0.000080316364,0.000046112746,0.000052629024,0.00031249493,0.00012657704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041027067,0.0003620792,0.00041861628,0.0006511422,0.0011429307,0.00085084455,0.0013269964,0.00070883054,0.0016936742],"category_scores_gemma":[0.0010707583,0.00034335925,0.0006797208,0.0017740983,0.0005958882,0.00046321977,0.00034104474,0.00061583245,0.00020939019],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005199316,0.00023974424,0.35635382,0.00016770638,0.0006577659,0.00027197532,0.000406431,0.5974877,0.005225912,0.0025542262,0.017870763,0.018243987],"study_design_scores_gemma":[0.00011739721,0.000019411567,0.6811195,0.000015866817,0.00009466115,0.00005737679,0.00028778976,0.31313315,0.00083975017,0.00036384663,0.0038601106,0.00009111594],"about_ca_topic_score_codex":0.9669378,"about_ca_topic_score_gemma":0.9728879,"teacher_disagreement_score":0.03306222,"about_ca_system_score_codex":0.00676844,"about_ca_system_score_gemma":0.007866045,"threshold_uncertainty_score":0.06651378},"labels":[],"label_agreement":null},{"id":"W2012430727","doi":"10.1007/s00382-009-0669-6","title":"Covariability of SST and surface heat fluxes in reanalyses and CMIP3 climate models","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Latitude; Environmental science; Subtropics; Climate model; Flux (metallurgy); Heat flux; Atmospheric sciences; Climate change; Geology; Heat transfer; Physics; Oceanography","score_opus":0.01443454126404923,"score_gpt":0.24542901422047506,"score_spread":0.23099447295642583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012430727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99163437,0.00019834396,0.0052326815,0.000550326,0.00004232639,0.000010304673,0.0007000699,0.00016574707,0.0014658101],"genre_scores_gemma":[0.9989605,0.000049788436,0.00041958125,0.000017952781,0.00001885342,0.0000051485786,0.0003076099,0.00007129613,0.00014938733],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990759,0.00036666016,0.00008321162,0.00024189775,0.00011563999,0.00011658243],"domain_scores_gemma":[0.9940398,0.0037189347,0.0006871516,0.00081826985,0.0004426673,0.0002932056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034456963,0.00033702556,0.0004133764,0.0007950145,0.00062305003,0.0014573172,0.0007593503,0.0008498394,0.001405636],"category_scores_gemma":[0.020129042,0.00079567684,0.00082420954,0.001281693,0.0007403726,0.0024761518,0.0013056906,0.0010621374,0.0001636943],"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":[0.00092052796,0.00015366482,0.52371013,0.00010359387,0.0008111059,0.0004931843,0.00051553483,0.4107231,0.01540138,0.026828699,0.003087474,0.017251553],"study_design_scores_gemma":[0.00008737548,0.00004159276,0.2809859,0.000020476198,0.00014561074,0.00008674241,0.000108664455,0.7028114,0.0019509508,0.0129023045,0.00079117564,0.00006774486],"about_ca_topic_score_codex":0.018881815,"about_ca_topic_score_gemma":0.017454052,"teacher_disagreement_score":0.018881815,"about_ca_system_score_codex":0.001199072,"about_ca_system_score_gemma":0.0009630541,"threshold_uncertainty_score":0.037543833},"labels":[],"label_agreement":null},{"id":"W2012755916","doi":"10.1007/s00382-009-0600-1","title":"The extratropical sensitivity to the meridional extent of tropical ENSO forcing","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Prairie Oat Growers Association","keywords":"Extratropical cyclone; Climatology; Sea surface temperature; Environmental science; Forcing (mathematics); Zonal and meridional; Northern Hemisphere; Rossby wave; Atmospheric sciences; Anomaly (physics); Middle latitudes; Geology; Physics","score_opus":0.010862868819635932,"score_gpt":0.24186183265403635,"score_spread":0.2309989638344004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2012755916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9842202,0.0007076638,0.0027249032,0.0010576005,0.00006607438,0.000008367185,0.0008947467,0.000075333475,0.010245061],"genre_scores_gemma":[0.9984079,0.00037248668,0.00024775695,0.00007687115,0.0000235459,0.0000026632406,0.00016233367,0.000020076248,0.00068631175],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999899,0.000027852831,0.000005867267,0.000029318857,0.000015024115,0.000022917562],"domain_scores_gemma":[0.99944204,0.00023524556,0.00008916746,0.00009396178,0.00008571831,0.00005392335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003801662,0.0002517382,0.00016040535,0.00020620255,0.00023169526,0.0007535474,0.00022536048,0.00038168486,0.002075408],"category_scores_gemma":[0.0023695256,0.00027563496,0.00025453276,0.0004499532,0.0002544214,0.00065114995,0.00063416385,0.00060765096,0.00018227429],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045782063,0.00008574977,0.42025504,0.0002463038,0.00040719935,0.0006615567,0.000717898,0.4678316,0.043365404,0.012084708,0.0046565225,0.049230088],"study_design_scores_gemma":[0.000027693934,0.000038171802,0.76284343,0.000038453178,0.000070893286,0.00028030228,0.00026309735,0.22479075,0.0018517241,0.005699924,0.0040578647,0.00003769454],"about_ca_topic_score_codex":0.013844547,"about_ca_topic_score_gemma":0.016483992,"teacher_disagreement_score":0.013844547,"about_ca_system_score_codex":0.00043572133,"about_ca_system_score_gemma":0.0003321562,"threshold_uncertainty_score":0.027527928},"labels":[],"label_agreement":null},{"id":"W2013253182","doi":"10.1007/s00382-010-0845-8","title":"Evaluation of the internal variability and estimation of the downscaling ability of the Canadian Regional Climate Model for different domain sizes over the north Atlantic region using the Big-Brother experimental approach","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Eddy; Climatology; Downscaling; Forcing (mathematics); Domain (mathematical analysis); Scale (ratio); Transient (computer programming); Amplitude; Climate model; Environmental science; Meteorology; Geology; Physics; Mathematics; Climate change; Precipitation; Computer science; Turbulence; Mathematical analysis","score_opus":0.04047104881102261,"score_gpt":0.27274517842440144,"score_spread":0.23227412961337882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013253182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958092,0.000053977095,0.002708355,0.000077906756,0.000009083781,0.000010102784,0.00020462938,0.00009227759,0.001034379],"genre_scores_gemma":[0.9984086,0.000016084767,0.0012052199,0.00000902001,0.000002512767,0.000004097321,0.0002690617,0.000019654146,0.00006581981],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999516,0.00011738444,0.000032446926,0.00013749898,0.00009637694,0.0001003667],"domain_scores_gemma":[0.99532,0.002725624,0.00028873357,0.00058575737,0.00089878886,0.00018115346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027943554,0.0005274372,0.00040286506,0.000526152,0.0009993869,0.000988184,0.0009561882,0.00064998254,0.0006400662],"category_scores_gemma":[0.01178757,0.00036205625,0.000560594,0.0006743345,0.00093646394,0.001126868,0.0005522928,0.0007557649,0.000053454514],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084281416,0.0002497191,0.087547146,0.0000637788,0.0003026527,0.00008780022,0.00021837334,0.8764697,0.011213306,0.002056359,0.00053108344,0.020417258],"study_design_scores_gemma":[0.0000678865,0.00005891184,0.049442112,0.00000750168,0.0000623201,0.000014478303,0.000080694976,0.9453889,0.0044111614,0.00024264163,0.00019387592,0.000029499028],"about_ca_topic_score_codex":0.46816486,"about_ca_topic_score_gemma":0.43417302,"teacher_disagreement_score":0.53183514,"about_ca_system_score_codex":0.0023544095,"about_ca_system_score_gemma":0.002498226,"threshold_uncertainty_score":0.93087965},"labels":[],"label_agreement":null},{"id":"W2014670354","doi":"10.1007/s00382-012-1613-8","title":"Evaluation of the regional climate model ALADIN to simulate the climate over North America in the CORDEX framework","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Climatology; Precipitation; Environmental science; Climate model; General Circulation Model; Scale (ratio); Climate change; Meteorology; Geography; Geology","score_opus":0.038709137094004975,"score_gpt":0.30245701105618755,"score_spread":0.2637478739621826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2014670354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9897857,0.00008888759,0.0017779893,0.00024239307,0.000037228274,0.000047399477,0.00047362634,0.0002605453,0.007286113],"genre_scores_gemma":[0.99610656,0.00003755437,0.0026996583,0.000054634307,0.000005099152,0.000025674171,0.00037593127,0.000039744347,0.0006550645],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933016,0.0003622961,0.000041030253,0.00010328649,0.000069669935,0.00009358508],"domain_scores_gemma":[0.998133,0.00087008846,0.00011187239,0.0001804822,0.0004951248,0.00020953281],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023894622,0.00071605766,0.000676088,0.00040252777,0.00091604923,0.0012423706,0.001325764,0.00076736294,0.0017880396],"category_scores_gemma":[0.0052776,0.00033103206,0.00037003277,0.0004957148,0.0005922133,0.00075050315,0.0010599662,0.0007748459,0.0001833984],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00055175065,0.00025455272,0.018745732,0.00004897948,0.00009999915,0.00015206504,0.00015266691,0.96993726,0.00079893693,0.0022909897,0.000873065,0.006094002],"study_design_scores_gemma":[0.0002740988,0.00015211006,0.0047054547,0.000011279451,0.00004697491,0.00001195447,0.00015373086,0.99248177,0.0010539752,0.00036407533,0.00072971964,0.0000149006255],"about_ca_topic_score_codex":0.31884617,"about_ca_topic_score_gemma":0.2125821,"teacher_disagreement_score":0.31884617,"about_ca_system_score_codex":0.0037932156,"about_ca_system_score_gemma":0.0030201883,"threshold_uncertainty_score":0.6339805},"labels":[],"label_agreement":null},{"id":"W2015982665","doi":"10.1007/s00382-011-1269-9","title":"On the relationship between Indian summer monsoon withdrawal and Indo-Pacific SST anomalies before and after 1976/1977 climate shift","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Ministry of Earth Sciences; Council of Scientific and Industrial Research, India","keywords":"Climatology; Sea surface temperature; Monsoon; Walker circulation; Environmental science; Regime shift; Indian ocean; Indo-Pacific; Climate change; Troposphere; General Circulation Model; Oceanography; Geology; Ecosystem","score_opus":0.025388298986317833,"score_gpt":0.22982731693259342,"score_spread":0.2044390179462756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015982665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840206,0.00007747981,0.000021371927,0.00013439452,0.000009031303,0.0000015717958,0.0003057797,0.0000018503969,0.0010463721],"genre_scores_gemma":[0.99916244,0.000057285204,0.000010715526,0.000017214925,0.000012118,0.0000011251756,0.0003850556,0.0000014550083,0.00035260565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998685,0.000027437938,0.000007795195,0.000027507682,0.0000140363445,0.000054720585],"domain_scores_gemma":[0.99820983,0.00096905994,0.0003129905,0.000066520275,0.00018328744,0.00025838846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005133026,0.00015784828,0.0001733718,0.0006170113,0.00046062237,0.00077944,0.0003813097,0.00036264487,0.0044664796],"category_scores_gemma":[0.002232114,0.00013294682,0.00040228327,0.0012471545,0.0006196753,0.0003385002,0.0004499352,0.00056650274,0.00039222438],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005296886,0.00005433317,0.99426574,0.00001153262,0.00010205031,0.00014797653,0.00029206343,0.0008577446,0.00085272006,0.00030181423,0.00034883615,0.0022356121],"study_design_scores_gemma":[0.0000036421786,0.00001451297,0.9990476,0.0000020028783,0.000029258239,0.000013316274,0.00026251024,0.00034356472,0.00006212581,0.0000328142,0.00018642105,0.0000023379362],"about_ca_topic_score_codex":0.09181143,"about_ca_topic_score_gemma":0.110390164,"teacher_disagreement_score":0.09181143,"about_ca_system_score_codex":0.0008644352,"about_ca_system_score_gemma":0.0008581868,"threshold_uncertainty_score":0.182554},"labels":[],"label_agreement":null},{"id":"W2016093504","doi":"10.1007/s003820050338","title":"A transient climate change simulation with greenhouse gas and aerosol forcing: projected climate to the twenty-first century","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":364,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Radiative forcing; Environmental science; Climatology; Greenhouse gas; Aerosol; Atmospheric sciences; Forcing (mathematics); Precipitation; Climate model; Climate change; Cloud forcing; Sulfate aerosol; Global warming; Meteorology; Geography; Geology","score_opus":0.017037394533732285,"score_gpt":0.23292903593043612,"score_spread":0.21589164139670383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016093504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9877059,0.00011057665,0.0046921503,0.0009421518,0.00007633213,0.000021984531,0.0012573627,0.000163939,0.005029616],"genre_scores_gemma":[0.996992,0.000070610375,0.0017248996,0.00004871403,0.000015750304,0.000019942649,0.00049854466,0.000023795883,0.0006056621],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998888,0.00003935563,0.0000059106533,0.000028492039,0.000011032786,0.000026286398],"domain_scores_gemma":[0.9994886,0.00023300316,0.00004275499,0.000037997273,0.00007417862,0.00012332504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043807228,0.0003883046,0.00046856498,0.0003074208,0.00068307325,0.0009772847,0.00080277823,0.0013736429,0.002460431],"category_scores_gemma":[0.0016363902,0.00034120557,0.0006290271,0.00074677693,0.00075266074,0.0009296086,0.00064894574,0.0009798878,0.00019253291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002819936,0.00012737786,0.009642539,0.000023873408,0.00005864024,0.00011204549,0.00007707541,0.9817192,0.0006418894,0.0036920365,0.0010544448,0.0025687933],"study_design_scores_gemma":[0.00012889535,0.000055961693,0.003152977,0.0000053735953,0.000035443518,0.000016716249,0.0000707184,0.9936847,0.0004076333,0.0017993414,0.00062676903,0.000015470356],"about_ca_topic_score_codex":0.06422996,"about_ca_topic_score_gemma":0.03968259,"teacher_disagreement_score":0.06422996,"about_ca_system_score_codex":0.0015910729,"about_ca_system_score_gemma":0.0019774165,"threshold_uncertainty_score":0.12771219},"labels":[],"label_agreement":null},{"id":"W2016265957","doi":"10.1007/s00382-006-0162-4","title":"Simulations of anthropogenic change in the strength of the Brewer–Dobson circulation","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":439,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; McGill University","funders":"Natural Environment Research Council; National Center for Atmospheric Research","keywords":"Troposphere; Climatology; Downwelling; Atmospheric sciences; Environmental science; Stratosphere; Tropopause; Upwelling; Atmosphere (unit); Annual cycle; Climate model; Boreal; Mass flux; Climate change; Coupled model intercomparison project; Flux (metallurgy); Geology; Meteorology; Oceanography; Geography; Chemistry; Physics","score_opus":0.014888213671679848,"score_gpt":0.23743253438233725,"score_spread":0.22254432071065738,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016265957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99156076,0.00015353474,0.0009239884,0.0009930037,0.000085137304,0.000009847542,0.000457455,0.00006654534,0.005749718],"genre_scores_gemma":[0.99850225,0.000053864118,0.00038689628,0.000053317977,0.000012234666,0.000008069826,0.00022860692,0.00002096044,0.0007338046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998124,0.00005861645,0.000011075638,0.000041134237,0.000024161676,0.000052588064],"domain_scores_gemma":[0.99896765,0.00041306976,0.00011623987,0.00008419163,0.0001531168,0.0002656926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052822154,0.000386895,0.00063025067,0.00043258036,0.00076574093,0.0011797386,0.0010217193,0.0017539664,0.0032467658],"category_scores_gemma":[0.0026583262,0.0003924084,0.0006909888,0.00084256893,0.0011005129,0.0009569163,0.00083167275,0.0013444474,0.00017979504],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048404065,0.00018448237,0.020082634,0.000035261735,0.00015676896,0.00011800782,0.00015203019,0.9661049,0.0015010424,0.006976835,0.0019364145,0.0022675744],"study_design_scores_gemma":[0.0002605032,0.000050142702,0.010351698,0.000010263218,0.000040360555,0.000010278048,0.00012147427,0.9859783,0.0004932169,0.0014481003,0.0012117224,0.000023996266],"about_ca_topic_score_codex":0.21860285,"about_ca_topic_score_gemma":0.16075662,"teacher_disagreement_score":0.21860285,"about_ca_system_score_codex":0.0034445485,"about_ca_system_score_gemma":0.0019059052,"threshold_uncertainty_score":0.43466085},"labels":[],"label_agreement":null},{"id":"W2018095871","doi":"10.1007/s00382-014-2222-5","title":"Effects of rotation and mid-troposphere moisture on organized convection and convectively coupled gravity waves","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; New York University Abu Dhabi","keywords":"Baroclinity; Convection; Equator; Hadley cell; Troposphere; Atmospheric sciences; Climatology; Kelvin wave; Geology; Gravity wave; Zonal flow (plasma); Madden–Julian oscillation; Geophysics; Physics; General Circulation Model; Mechanics; Latitude; Gravitational wave; Climate change; Astrophysics","score_opus":0.0031635294419027978,"score_gpt":0.19848871902327314,"score_spread":0.19532518958137035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018095871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99834037,0.000068764864,0.00041398406,0.00012463849,0.000019076802,0.000003661209,0.00012868144,0.00002665257,0.000874143],"genre_scores_gemma":[0.99972636,0.000031813874,0.000042680167,0.000008625302,0.000008098218,0.0000014477326,0.00004031154,0.000010194454,0.00013045006],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988055,0.000034415367,0.0000048138463,0.000018985698,0.000006252405,0.00005512393],"domain_scores_gemma":[0.9990024,0.0006364604,0.00008597756,0.00005749664,0.000054870947,0.00016277476],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028289636,0.00040469377,0.00034916023,0.00026831473,0.00047433062,0.0008149186,0.00033570008,0.00063352316,0.0027667668],"category_scores_gemma":[0.002408111,0.00035085593,0.00065560103,0.00022935052,0.0008190634,0.00072536204,0.00061974506,0.00050848746,0.00022666657],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004041842,0.00077181635,0.1546415,0.00013656174,0.00040880684,0.00063299556,0.00032498708,0.76089007,0.059127897,0.004708777,0.002261444,0.012053277],"study_design_scores_gemma":[0.00043158178,0.00026909757,0.17808697,0.000012398052,0.00022614667,0.00007056577,0.00016133393,0.81117004,0.0074958303,0.0015906029,0.00042567935,0.000059756036],"about_ca_topic_score_codex":0.011859026,"about_ca_topic_score_gemma":0.007374187,"teacher_disagreement_score":0.011859026,"about_ca_system_score_codex":0.0005719204,"about_ca_system_score_gemma":0.00040211267,"threshold_uncertainty_score":0.023580015},"labels":[],"label_agreement":null},{"id":"W2019064910","doi":"10.1007/s00382-006-0117-9","title":"The variance of sea surface temperature and projected changes with global warming","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Climatology; Sea surface temperature; Environmental science; Forcing (mathematics); Atmospheric sciences; Latitude; Climate model; Global warming; Climate change; Energy budget; Geology; Oceanography; Physics","score_opus":0.005429964751750587,"score_gpt":0.2084663092177194,"score_spread":0.2030363444659688,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019064910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95578474,0.0007604168,0.03343968,0.0021452082,0.00022211722,0.000010466646,0.0021020444,0.00019410378,0.005341332],"genre_scores_gemma":[0.99712473,0.0002802977,0.0011118426,0.000046406876,0.00006346928,0.0000060899974,0.000609867,0.000039964118,0.0007173657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958545,0.00015287827,0.0000253196,0.00010870893,0.00007751869,0.00005014677],"domain_scores_gemma":[0.9977196,0.0015041992,0.00023833595,0.00017929822,0.00030397094,0.000054538552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013454567,0.00038841122,0.00025483652,0.00043774402,0.0001994975,0.001071272,0.0003280406,0.00076201063,0.0015125234],"category_scores_gemma":[0.008334308,0.0004272395,0.0007068783,0.00086192874,0.00048582203,0.0013468689,0.00041830732,0.0009068612,0.00028658894],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035502354,0.00004662459,0.18994884,0.00008047691,0.00072666875,0.00021272474,0.0001242502,0.76453507,0.003215649,0.021708416,0.0024337696,0.016612485],"study_design_scores_gemma":[0.00003217088,0.000083531304,0.21274209,0.000031368632,0.00015079648,0.0002488899,0.00012242317,0.75275004,0.0019891465,0.028789615,0.0030016415,0.00005840012],"about_ca_topic_score_codex":0.004550544,"about_ca_topic_score_gemma":0.0048342086,"teacher_disagreement_score":0.004550544,"about_ca_system_score_codex":0.00064126326,"about_ca_system_score_gemma":0.00048357013,"threshold_uncertainty_score":0.009048104},"labels":[],"label_agreement":null},{"id":"W2020079854","doi":"10.1007/s00382-011-1173-3","title":"Statistical downscaling of historical monthly mean winds over a coastal region of complex terrain. I. Predicting wind speed","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Downscaling; Environmental science; Climatology; Wind speed; Terrain; Meteorology; Scale (ratio); Storm; Regression analysis; Linear regression; Statistics; Geography; Geology; Precipitation; Mathematics; Cartography","score_opus":0.04034886403663102,"score_gpt":0.2446874418673851,"score_spread":0.2043385778307541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020079854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938651,0.000092105605,0.0043870765,0.000094079565,0.000034341712,0.000008720463,0.0008003476,0.00011459088,0.0006036751],"genre_scores_gemma":[0.99489874,0.000092361835,0.0033655716,0.000009749574,0.000020378075,0.000008040396,0.0013135235,0.000026496527,0.0002651588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999151,0.000017110786,0.000010147235,0.00002524001,0.000018791894,0.00001350283],"domain_scores_gemma":[0.99937624,0.00019822607,0.000116931864,0.00011369473,0.00015362285,0.000041290365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037215042,0.00028419343,0.00021353911,0.00043065642,0.0002915871,0.00040092037,0.0004564747,0.0003037989,0.000576786],"category_scores_gemma":[0.0019364865,0.00022499163,0.000347345,0.00074721256,0.00022354933,0.00038664407,0.00021717325,0.00046712495,0.00016793176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030202416,0.00028288356,0.21793962,0.00008620758,0.00020422593,0.00020624937,0.00015583492,0.7075315,0.0061562094,0.00093819737,0.0038638008,0.062333196],"study_design_scores_gemma":[0.00002972168,0.00004919826,0.18317364,0.000011468075,0.000034568024,0.000033870303,0.00007378726,0.8134889,0.0018351353,0.00038263886,0.0008715238,0.000015562764],"about_ca_topic_score_codex":0.039966878,"about_ca_topic_score_gemma":0.06050068,"teacher_disagreement_score":0.039966878,"about_ca_system_score_codex":0.00033319808,"about_ca_system_score_gemma":0.00051760563,"threshold_uncertainty_score":0.07946849},"labels":[],"label_agreement":null},{"id":"W2022445052","doi":"10.1007/s00382-011-1229-4","title":"Marine proxy evidence linking decadal North Pacific and Atlantic climate","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pacific decadal oscillation; Climatology; Atlantic multidecadal oscillation; North Atlantic oscillation; Subarctic climate; Proxy (statistics); Oceanography; Northern Hemisphere; Sea surface temperature; Geology; Environmental science","score_opus":0.027781241659406233,"score_gpt":0.23056323038483442,"score_spread":0.20278198872542819,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022445052","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97924155,0.0019043717,0.0018956902,0.0024747213,0.00015412447,0.0000030897575,0.0022877643,0.00010419587,0.011934637],"genre_scores_gemma":[0.9971451,0.0005214235,0.00037834633,0.00015332754,0.00003248036,0.0000021125445,0.00115946,0.000017029392,0.00059072714],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996935,0.000072386785,0.00004070254,0.00010211131,0.000049059847,0.000042107586],"domain_scores_gemma":[0.9956846,0.0015365157,0.0011058867,0.0007361973,0.0006624253,0.0002743183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015542879,0.0002127944,0.0001994589,0.0007532075,0.00045847963,0.0019839457,0.0005125935,0.00047302418,0.004190255],"category_scores_gemma":[0.007257224,0.00029746004,0.00026080164,0.0016344376,0.000609906,0.001031057,0.0013345686,0.0005686786,0.000385149],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020543388,0.000049645023,0.9677654,0.00007469207,0.0005652949,0.000119077675,0.0002740272,0.00506722,0.0023114025,0.004877903,0.0021902397,0.01649972],"study_design_scores_gemma":[0.000021737973,0.000015439306,0.98104584,0.0000538857,0.00021148451,0.00010362826,0.00048876536,0.007296303,0.00069938804,0.0035558306,0.0064842757,0.000023517852],"about_ca_topic_score_codex":0.042316716,"about_ca_topic_score_gemma":0.056687616,"teacher_disagreement_score":0.042316716,"about_ca_system_score_codex":0.00070409727,"about_ca_system_score_gemma":0.0007820306,"threshold_uncertainty_score":0.08414078},"labels":[],"label_agreement":null},{"id":"W2024364886","doi":"10.1007/s00382-009-0728-z","title":"Further analysis of singular vector and ENSO predictability in the Lamont model—Part II: singular value and predictability","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Advanced Thermodynamics and Statistical Mechanics","field":"Physics and Astronomy","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; National Science Foundation","keywords":"Predictability; Forecast skill; Nonlinear system; Mathematics; Perturbation (astronomy); Singular value; Tangent; Econometrics; Applied mathematics; Climatology; Statistics; Physics; Geology","score_opus":0.005258721971868919,"score_gpt":0.23922158662340542,"score_spread":0.2339628646515365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2024364886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9191781,0.00037031673,0.06870753,0.002070877,0.00007893339,0.000018395116,0.00024993616,0.00028145814,0.0090444945],"genre_scores_gemma":[0.9958883,0.00008622557,0.0016008219,0.000044821074,0.000035349527,0.00000533349,0.00011396569,0.00004381542,0.0021812937],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998795,0.000027150041,0.0000048340376,0.000020111302,0.00003341787,0.000034946024],"domain_scores_gemma":[0.9994149,0.00032030226,0.0000627169,0.000068625974,0.000078769786,0.000054795168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004079233,0.00050059706,0.0006399982,0.0004778149,0.00064155704,0.0010701035,0.0006159848,0.0004597111,0.004165928],"category_scores_gemma":[0.0029080163,0.00019788134,0.0008993727,0.0004924308,0.0005763689,0.0014112573,0.00067817303,0.0010447929,0.00016919718],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014002873,0.00009350476,0.01006173,0.00003569161,0.00011532452,0.00045233822,0.00011028528,0.9224494,0.013013571,0.04042851,0.0023809401,0.010718717],"study_design_scores_gemma":[0.0000031494594,0.0000079867295,0.002239259,0.0000011290545,0.000006835406,0.000010620367,0.0000135401215,0.9909044,0.0006696438,0.0059870547,0.00014815107,0.000008144897],"about_ca_topic_score_codex":0.023080075,"about_ca_topic_score_gemma":0.011527151,"teacher_disagreement_score":0.023080075,"about_ca_system_score_codex":0.00076739764,"about_ca_system_score_gemma":0.0010601464,"threshold_uncertainty_score":0.045891464},"labels":[],"label_agreement":null},{"id":"W2026090332","doi":"10.1007/s00382-014-2066-z","title":"Sensitivity of seasonal precipitation extremes to model configuration of the Canadian Regional Climate Model over eastern Canada using historical simulations","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; International Development Research Centre","keywords":"Precipitation; Climatology; Environmental science; Percentile; Climate model; General Circulation Model; Climate change; Atmospheric sciences; Meteorology; Geography; Mathematics; Geology; Statistics","score_opus":0.030949090778557054,"score_gpt":0.24220537980366275,"score_spread":0.21125628902510568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026090332","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954294,0.00018705871,0.00075519725,0.000116088035,0.000012067569,0.000012109716,0.0015540133,0.00007960077,0.0018543989],"genre_scores_gemma":[0.9975573,0.00007922816,0.00055319007,0.000018542883,0.0000035077292,0.000005441371,0.0015256766,0.000017003093,0.00024025964],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961436,0.00006359317,0.000018157669,0.00011232149,0.00008485363,0.00010678572],"domain_scores_gemma":[0.9987179,0.00038042298,0.00010528943,0.00012569616,0.00055746216,0.00011331598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010504003,0.0006050965,0.00037325275,0.00071753457,0.0012896194,0.0012437067,0.0013576011,0.0005539102,0.00081112824],"category_scores_gemma":[0.0038570855,0.00038458125,0.0006406863,0.0012134156,0.0006135137,0.00052920374,0.00042514998,0.0006342055,0.00008586609],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017072746,0.000037240214,0.11788813,0.00003045092,0.00022419453,0.000090855574,0.000070183516,0.8753076,0.0009459137,0.0005515062,0.00087699573,0.0038062036],"study_design_scores_gemma":[0.000068244415,0.0000458149,0.11063793,0.000024258085,0.0001265953,0.00004338996,0.00016805016,0.8852566,0.0014787215,0.00030073425,0.0017868421,0.000062829116],"about_ca_topic_score_codex":0.95891494,"about_ca_topic_score_gemma":0.9432179,"teacher_disagreement_score":0.041085064,"about_ca_system_score_codex":0.013120537,"about_ca_system_score_gemma":0.0068895495,"threshold_uncertainty_score":0.095196605},"labels":[],"label_agreement":null},{"id":"W2028969959","doi":"10.1007/s00382-013-1884-8","title":"Diagnosis and testing of low-level cloud parameterizations for the NCEP/GFS model using satellite and ground-based measurements","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric aerosols and clouds","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Environmental science; Troposphere; Cloud fraction; Satellite; Shortwave; Cloud computing; Longwave; Cloud height; Cloud forcing; Meteorology; Liquid water path; Marine stratocumulus; Cloud albedo; Atmospheric sciences; Climatology; Water vapor; Cloud cover; Radiative transfer; Precipitation; Geology; Aerosol; Computer science; Geography; Physics","score_opus":0.08607609583261988,"score_gpt":0.26432557215725405,"score_spread":0.17824947632463417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028969959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905033,0.00007505428,0.006598032,0.000227896,0.000031538504,0.00008212593,0.0010979278,0.0007385007,0.0006456761],"genre_scores_gemma":[0.9955136,0.000019485806,0.003332257,0.000026449088,0.0000056277704,0.000018681967,0.00097204716,0.000030413723,0.00008141432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99897385,0.00036744666,0.00011224759,0.00026380614,0.00013320582,0.00014940853],"domain_scores_gemma":[0.991952,0.0056443494,0.00060372206,0.00076341425,0.0007088413,0.00032779755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037534034,0.0014370162,0.000762671,0.0009467612,0.0007807312,0.0015367592,0.0016526278,0.0018598452,0.0015042222],"category_scores_gemma":[0.01047632,0.0007390981,0.0008954045,0.00046338476,0.00080651965,0.002120866,0.0007250292,0.0010215718,0.00031611245],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014808674,0.0012426733,0.1967213,0.00014905332,0.0003343409,0.00038253877,0.00017029341,0.77079225,0.0082870405,0.0008862871,0.0014104733,0.018142916],"study_design_scores_gemma":[0.00021624859,0.00012227803,0.018035144,0.000009259216,0.000043927826,0.000018832086,0.00007419799,0.97751004,0.0035775641,0.00026751746,0.000109482484,0.000015499867],"about_ca_topic_score_codex":0.03422601,"about_ca_topic_score_gemma":0.021066854,"teacher_disagreement_score":0.03422601,"about_ca_system_score_codex":0.0015337842,"about_ca_system_score_gemma":0.0019396804,"threshold_uncertainty_score":0.06805354},"labels":[],"label_agreement":null},{"id":"W2029072562","doi":"10.1007/s00382-010-0949-1","title":"High-resolution precipitation and temperature downscaling for glacier models","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Precipitation; Climatology; Orographic lift; Environmental science; Glacier; Terrain; Climate model; Climate change; Meteorology; Geology; Geography","score_opus":0.011956271738923933,"score_gpt":0.2150379125937479,"score_spread":0.20308164085482397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029072562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81076384,0.0004904732,0.15732163,0.00086035015,0.00030752746,0.00016263835,0.014672999,0.008744794,0.0066756858],"genre_scores_gemma":[0.90100455,0.0001301573,0.08366748,0.000088472916,0.00008783173,0.00010886424,0.012718,0.000551269,0.00164334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998461,0.000049200553,0.0000129007285,0.000039280345,0.000033155626,0.000019445293],"domain_scores_gemma":[0.9994289,0.00010439131,0.000040899995,0.00023362983,0.00014459183,0.000047557485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007572987,0.00037891394,0.00051926996,0.0003328425,0.00048857916,0.000519465,0.0010194756,0.0005390217,0.0028732943],"category_scores_gemma":[0.0022152944,0.0006634289,0.00046496434,0.00057488447,0.00019218645,0.0009272675,0.00046161356,0.0008727038,0.000561101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032368655,0.00022858336,0.013966068,0.000054504093,0.00026606515,0.00008111937,0.00009413153,0.9095655,0.0076946635,0.0016554418,0.010370706,0.055699494],"study_design_scores_gemma":[0.00013673604,0.000019361067,0.006473655,0.000004043716,0.000029262315,0.000010193257,0.000013286517,0.9890559,0.0018531915,0.0010051396,0.0013837939,0.000015400317],"about_ca_topic_score_codex":0.029348118,"about_ca_topic_score_gemma":0.04027316,"teacher_disagreement_score":0.029348118,"about_ca_system_score_codex":0.00037357173,"about_ca_system_score_gemma":0.0009985717,"threshold_uncertainty_score":0.058354557},"labels":[],"label_agreement":null},{"id":"W2029375325","doi":"10.1007/s00382-014-2386-z","title":"Unprecedented recent warming rate and temperature variability over the east Tibetan Plateau inferred from Alpine treeline dendrochronology","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Robarts Clinical Trials","funders":"State Key Laboratory of Earth Surface Processes and Resource Ecology","keywords":"Dendrochronology; Plateau (mathematics); Climatology; Dendroclimatology; Global warming; Environmental science; Climate change; Physical geography; Geology; Geography; Oceanography","score_opus":0.009493771258390809,"score_gpt":0.2246822015051263,"score_spread":0.21518843024673548,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029375325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99919254,0.00009304654,0.000092820104,0.000041030868,0.0000037342481,8.355047e-7,0.00016988892,0.0000063094253,0.0003997461],"genre_scores_gemma":[0.99964595,0.000035397297,0.000038229136,0.000008586635,0.000008664767,8.4987914e-7,0.00019921096,0.0000016767774,0.000061435974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993455,0.000013492601,0.0000053492595,0.00002286118,0.000008445813,0.000015251852],"domain_scores_gemma":[0.9997309,0.00004706657,0.000071754395,0.000032724107,0.00006385956,0.0000536718],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004616252,0.00013609628,0.00012650437,0.00062966614,0.000374416,0.0006355915,0.00018805508,0.0002722561,0.0010237766],"category_scores_gemma":[0.0006745745,0.00011039474,0.00013402518,0.000977484,0.00026889553,0.00042465178,0.00033238143,0.0003060055,0.000103218],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118700045,0.000025441175,0.97808605,0.00002816554,0.000089830246,0.0001228874,0.0005876675,0.00083412,0.012901343,0.00020882812,0.00020786485,0.0067890193],"study_design_scores_gemma":[0.0000022992401,0.00000795618,0.99883753,0.0000024431884,0.000010494488,0.00003088048,0.00010624813,0.00065207604,0.00008403412,0.000040706454,0.00022310605,0.0000023199466],"about_ca_topic_score_codex":0.013140797,"about_ca_topic_score_gemma":0.025507528,"teacher_disagreement_score":0.013140797,"about_ca_system_score_codex":0.0003223483,"about_ca_system_score_gemma":0.00020972826,"threshold_uncertainty_score":0.02612859},"labels":[],"label_agreement":null},{"id":"W2030321324","doi":"10.1007/s00382-007-0303-4","title":"The energy cycle in atmospheric models","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Annual cycle; Environmental science; Climate model; Climatology; Dissipation; Energy (signal processing); Energy budget; Kinetic energy; Energy transformation; Water cycle; Atmospheric sciences; Meteorology; Climate change; Physics; Mathematics; Statistics; Geology; Thermodynamics","score_opus":0.004032000942515502,"score_gpt":0.19267183877941235,"score_spread":0.18863983783689686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030321324","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":[0.05920988,0.024172114,0.84357214,0.010331718,0.0017305564,0.00006377412,0.0009825297,0.0009797587,0.058957577],"genre_scores_gemma":[0.86986697,0.015488452,0.08652007,0.0007247836,0.0013209162,0.00019041685,0.0008054507,0.00089500705,0.024188023],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992417,0.0005263095,0.000035146426,0.00006175305,0.00010260555,0.00003251384],"domain_scores_gemma":[0.99687296,0.0023287274,0.00013200576,0.0004054629,0.00017230857,0.00008848074],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018609653,0.0006156285,0.0011244076,0.00072381867,0.0007902097,0.002241781,0.0013124476,0.0018545055,0.0044852793],"category_scores_gemma":[0.0133281015,0.001089662,0.00067680486,0.0023854692,0.0016802545,0.005032631,0.0013532308,0.0024029296,0.00081685133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030479026,0.000026372018,0.0010052819,0.00010079219,0.00005503544,0.000047931768,0.00011095116,0.5096281,0.00013005495,0.46332875,0.006173093,0.019363217],"study_design_scores_gemma":[0.000012339499,0.0000042087618,0.00017171928,0.000020188578,0.000011865728,0.000009002425,0.000025503869,0.64290863,0.00008307921,0.3493134,0.0074295374,0.000010608147],"about_ca_topic_score_codex":0.016388837,"about_ca_topic_score_gemma":0.013931453,"teacher_disagreement_score":0.016388837,"about_ca_system_score_codex":0.0013921241,"about_ca_system_score_gemma":0.0009914798,"threshold_uncertainty_score":0.032586873},"labels":[],"label_agreement":null},{"id":"W2031336728","doi":"10.1007/s00382-008-0503-6","title":"A model study of the Little Ice Age and beyond: changes in ocean heat content, hydrography and circulation since 1500","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Ocean heat content; Climatology; Environmental science; Sea ice; Arctic; Cryosphere; Salinity; Arctic sea ice decline; Arctic dipole anomaly; Wind stress; Temperature salinity diagrams; Arctic geoengineering; Atmospheric sciences; Sea surface temperature; Geology; Oceanography; Sea ice thickness; Drift ice","score_opus":0.04125598197702538,"score_gpt":0.24310598072302467,"score_spread":0.2018499987459993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031336728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99437237,0.00015242553,0.0016949986,0.0004836704,0.000016876562,0.000010970097,0.0011450263,0.000033778484,0.0020898904],"genre_scores_gemma":[0.99727136,0.00012901955,0.00054533425,0.000059068952,0.000016470745,0.000025950254,0.0007904868,0.00001953638,0.0011427045],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999205,0.00002721124,0.0000039528572,0.000021744281,0.000004314643,0.000022306556],"domain_scores_gemma":[0.9994222,0.00031660617,0.00007186234,0.000036586756,0.000045981324,0.00010676988],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049814425,0.00044117932,0.00065879035,0.00041528945,0.0004417165,0.0009631353,0.0012817327,0.0013932104,0.0029819994],"category_scores_gemma":[0.0017380774,0.00037693747,0.0011819701,0.0006525988,0.00069260865,0.0012364944,0.0004936932,0.00070374575,0.00024048163],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003809753,0.00018505982,0.02417405,0.000043758395,0.00017968132,0.00014845814,0.00013880407,0.9647027,0.0007142865,0.005840156,0.0014340297,0.0020581293],"study_design_scores_gemma":[0.00023143219,0.00013093476,0.013520689,0.0000150231945,0.0001268238,0.00004798664,0.00017157984,0.98097056,0.00028547496,0.00331671,0.0011533027,0.00002951976],"about_ca_topic_score_codex":0.09023232,"about_ca_topic_score_gemma":0.04582049,"teacher_disagreement_score":0.09023232,"about_ca_system_score_codex":0.0017295742,"about_ca_system_score_gemma":0.00146724,"threshold_uncertainty_score":0.17941421},"labels":[],"label_agreement":null},{"id":"W2031908493","doi":"10.1007/s00382-013-1891-9","title":"Tropical pacific forcing of a 1998–1999 climate shift: observational analysis and climate model results for the boreal spring season","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Prairie Oat Growers Association; National Aeronautics and Space Administration","keywords":"Climatology; Empirical orthogonal functions; Pacific decadal oscillation; Precipitation; Environmental science; Context (archaeology); Atmospheric circulation; Climate model; Forcing (mathematics); Walker circulation; Sea surface temperature; Atlantic multidecadal oscillation; Climate change; Teleconnection; Regime shift; Abrupt climate change; Global warming; Geography; Geology; Oceanography; El Niño Southern Oscillation; Effects of global warming; Meteorology; Ecosystem","score_opus":0.025206576131756583,"score_gpt":0.24882409455918836,"score_spread":0.22361751842743177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031908493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964676,0.00008008589,0.00022529722,0.00013294946,0.000018097884,0.000007931354,0.0021563214,0.00007886014,0.00083298434],"genre_scores_gemma":[0.9973289,0.000078755285,0.00034984847,0.000024387202,0.0000142586805,0.00000848976,0.0021075124,0.000011174702,0.00007663034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998907,0.000029380106,0.000009178841,0.00003264613,0.000018924211,0.000019132882],"domain_scores_gemma":[0.99957496,0.00012771205,0.00010917459,0.00004904991,0.00007221809,0.00006688841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000760401,0.00043480226,0.00026509503,0.00029046586,0.000466534,0.0004385185,0.00058067223,0.00041464742,0.0010981273],"category_scores_gemma":[0.001023605,0.0002252842,0.00061417656,0.00058584276,0.00024113298,0.00045662222,0.00024609297,0.00042968418,0.000118122436],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015955541,0.00081639166,0.67841554,0.0001872972,0.0005837516,0.00046712795,0.0002348652,0.28935146,0.005649191,0.0013474838,0.007358584,0.013992749],"study_design_scores_gemma":[0.00037541325,0.00022991748,0.6746084,0.000022840373,0.00016543335,0.00010730187,0.0002003648,0.32039982,0.0012803556,0.0005267546,0.0020396435,0.000043773605],"about_ca_topic_score_codex":0.111645944,"about_ca_topic_score_gemma":0.096302494,"teacher_disagreement_score":0.111645944,"about_ca_system_score_codex":0.0010027284,"about_ca_system_score_gemma":0.0006821943,"threshold_uncertainty_score":0.2219922},"labels":[],"label_agreement":null},{"id":"W2035888601","doi":"10.1007/s00382-002-0243-y","title":"A coupled climate model simulation of the Last Glacial Maximum, Part 1: transient multi-decadal response","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":139,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Climatology; Geology; Glacial period; North Atlantic Deep Water; Sea surface temperature; Ice sheet; Last Glacial Maximum; Sea ice; Climate model; Antarctic Bottom Water; Climate change; Environmental science; Oceanography; Thermohaline circulation; Geomorphology","score_opus":0.03511045908254946,"score_gpt":0.26277900365557044,"score_spread":0.227668544573021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035888601","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927248,0.000078414974,0.0018190522,0.00043545789,0.000055351753,0.000022423179,0.0016259316,0.00020105904,0.0030374778],"genre_scores_gemma":[0.9962962,0.000052268206,0.0013706697,0.0000723826,0.000014706273,0.00003847068,0.0013058275,0.000052782445,0.00079656945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998282,0.000047577574,0.000011195839,0.000054346227,0.000016477485,0.00004218296],"domain_scores_gemma":[0.99925905,0.00035824924,0.000067321635,0.00006701378,0.00009893045,0.00014934107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005435774,0.00061578053,0.00084832724,0.00048633997,0.00075088907,0.0011691165,0.0013686657,0.002193622,0.0028260346],"category_scores_gemma":[0.002414392,0.00069009775,0.00088666537,0.00087172113,0.00072080403,0.00094072684,0.0007638908,0.0013214281,0.0003244513],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024024298,0.00015370565,0.0067099617,0.000024210081,0.00008706279,0.00007948376,0.000058818463,0.9883109,0.0010161398,0.000946532,0.000851055,0.00152184],"study_design_scores_gemma":[0.00011632313,0.000048849393,0.003990125,0.000002984937,0.000034426557,0.000009353634,0.00003110118,0.99487925,0.00027642012,0.00034387904,0.00024974457,0.000017582744],"about_ca_topic_score_codex":0.08650638,"about_ca_topic_score_gemma":0.05162066,"teacher_disagreement_score":0.08650638,"about_ca_system_score_codex":0.001997414,"about_ca_system_score_gemma":0.0017260547,"threshold_uncertainty_score":0.17200571},"labels":[],"label_agreement":null},{"id":"W2036620759","doi":"10.1007/s00382-013-1933-3","title":"Imprint of the Atlantic multi-decadal oscillation and Pacific decadal oscillation on southwestern US climate: past, present, and future","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Dalhousie University","funders":"Los Alamos National Laboratory","keywords":"Pacific decadal oscillation; Climatology; Environmental science; Precipitation; Greenhouse gas; Climate change; Global warming; Atlantic multidecadal oscillation; Sea surface temperature; Solar irradiance; Global temperature; North Atlantic oscillation; Climate model; Atmospheric sciences; Geography; Oceanography; Geology; Meteorology","score_opus":0.00970898216875991,"score_gpt":0.22012754320426706,"score_spread":0.21041856103550716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036620759","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889508,0.0028087287,0.00016773946,0.0022261566,0.000055993863,0.000001912215,0.0022378748,0.000016384682,0.0035343478],"genre_scores_gemma":[0.99724317,0.0012112726,0.00013778027,0.00015018551,0.000046432488,0.0000016542069,0.0008285241,0.000009014044,0.00037203438],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991643,0.000021808573,0.000005222519,0.000021679838,0.000014140341,0.000020587418],"domain_scores_gemma":[0.99908555,0.00016390663,0.0004260364,0.0000640749,0.0001472018,0.000113285285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000527158,0.00012175592,0.00013218231,0.00049405784,0.00025886513,0.0006849249,0.0001269153,0.0002454839,0.0016482241],"category_scores_gemma":[0.0013434931,0.00010979645,0.00025509956,0.0010050716,0.00026526343,0.00057288806,0.0004938464,0.00041689668,0.00016888836],"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":[0.000120083634,0.000019453251,0.9789219,0.00003025642,0.00008124327,0.00009099804,0.00038388887,0.00047448,0.0010304174,0.00085850107,0.0020709813,0.015917731],"study_design_scores_gemma":[0.0000013943412,0.000008461419,0.9979728,0.000014157298,0.000017028287,0.000022221615,0.00015176409,0.000313112,0.000065584354,0.00013675146,0.0012927898,0.000003868228],"about_ca_topic_score_codex":0.022893658,"about_ca_topic_score_gemma":0.051905382,"teacher_disagreement_score":0.022893658,"about_ca_system_score_codex":0.00036978716,"about_ca_system_score_gemma":0.0003005963,"threshold_uncertainty_score":0.045520842},"labels":[],"label_agreement":null},{"id":"W2038015459","doi":"10.1007/s00382-009-0569-9","title":"Low-frequency variability of the arctic climate: the role of oceanic and atmospheric heat transport variations","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Deutsches Klimarechenzentrum","keywords":"Climatology; Environmental science; Atmosphere (unit); Arctic sea ice decline; Arctic; Atmospheric circulation; Climate model; Arctic dipole anomaly; Atmospheric model; Sea surface temperature; Atmospheric sciences; Thermohaline circulation; Arctic ice pack; Sea ice; Climate change; Geology; Oceanography; Drift ice; Geography; Meteorology","score_opus":0.003101602263991893,"score_gpt":0.17871023883079667,"score_spread":0.17560863656680478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038015459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650097,0.00015698701,0.0016573054,0.00010503626,0.000018818033,0.0000041571025,0.00012214274,0.00003563082,0.0013989492],"genre_scores_gemma":[0.99939704,0.00007329686,0.00026626218,0.0000068527,0.000009849479,0.0000021419164,0.00008133349,0.00000830763,0.0001548342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999063,0.000036140227,0.0000057326624,0.000020384849,0.000012128074,0.000019266039],"domain_scores_gemma":[0.9998368,0.000063251035,0.000030446741,0.000018430568,0.000026620068,0.000024465298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036888613,0.00030484222,0.00027887305,0.0002658744,0.00035044592,0.0009783221,0.00031433336,0.0004224263,0.0007092046],"category_scores_gemma":[0.0007329751,0.00016416918,0.00054776686,0.00037642627,0.00028458278,0.0003516982,0.0003320878,0.00031959824,0.000081915576],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003850968,0.00019189974,0.24086906,0.00011298473,0.00043728837,0.0004782022,0.0001678594,0.7125601,0.024574118,0.003604885,0.0006828166,0.015935743],"study_design_scores_gemma":[0.000026602504,0.000049694758,0.13321987,0.000010450278,0.00007913175,0.000043182226,0.00008656405,0.86388564,0.0012845687,0.00075136137,0.00053994334,0.000022874363],"about_ca_topic_score_codex":0.026763428,"about_ca_topic_score_gemma":0.016490232,"teacher_disagreement_score":0.026763428,"about_ca_system_score_codex":0.0005621754,"about_ca_system_score_gemma":0.00044177775,"threshold_uncertainty_score":0.053215325},"labels":[],"label_agreement":null},{"id":"W2038290288","doi":"10.1007/s00382-007-0349-3","title":"Mediterranean drought fluctuation during the last 500 years based on tree-ring data","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":162,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Northwestern University","keywords":"Dendrochronology; Calibration; Noise (video); Series (stratigraphy); Tree (set theory); Climatology; Environmental science; Statistics; Mathematics; Geology; Computer science; Artificial intelligence","score_opus":0.03141557288661919,"score_gpt":0.24358486325239373,"score_spread":0.21216929036577453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038290288","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99633765,0.000122134,0.00021039425,0.00003242751,0.000008632747,0.0000032081507,0.0029331502,0.000022536293,0.00032979457],"genre_scores_gemma":[0.9953432,0.00007341698,0.00017673787,0.0000115163175,0.00001828663,0.000008216467,0.004201872,0.000005851774,0.00016103295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976534,0.000049074137,0.000039038245,0.00007765311,0.000036558813,0.000032235977],"domain_scores_gemma":[0.99900454,0.00019320325,0.00045277743,0.00008085726,0.00016647985,0.00010213402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007439807,0.00021225378,0.00031055723,0.0008364043,0.00011152699,0.00029797154,0.00020378553,0.00026461325,0.0007330414],"category_scores_gemma":[0.0015462951,0.0000940081,0.00028457626,0.00083239505,0.00009648292,0.0003313083,0.00025023185,0.00013585408,0.00022577103],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029172565,0.000026707557,0.98698145,0.000045824712,0.00026574158,0.00008833053,0.0002147758,0.002138888,0.001220004,0.000058691578,0.0012400468,0.007427966],"study_design_scores_gemma":[0.000006119595,0.000035424036,0.99754685,0.000003870439,0.000026998192,0.00004502152,0.000048489575,0.0014059334,0.00016664328,0.000015288424,0.00069556915,0.0000037560158],"about_ca_topic_score_codex":0.0039274246,"about_ca_topic_score_gemma":0.006270116,"teacher_disagreement_score":0.0039274246,"about_ca_system_score_codex":0.00027915477,"about_ca_system_score_gemma":0.00010653194,"threshold_uncertainty_score":0.0078091025},"labels":[],"label_agreement":null},{"id":"W2038653615","doi":"10.1007/s00382-014-2258-6","title":"Inter-annual variability of precipitation over Southern Mexico and Central America and its relationship to sea surface temperature from a set of future projections from CMIP5 GCMs and RegCM4 CORDEX simulations","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"University of East Anglia","keywords":"Climatology; Precipitation; Coupled model intercomparison project; Environmental science; Anomaly (physics); Climate model; Sea surface temperature; Representative Concentration Pathways; Climate change; General Circulation Model; Atmospheric sciences; Geology; Geography; Meteorology; Oceanography","score_opus":0.009294922427613237,"score_gpt":0.24170708488665038,"score_spread":0.23241216245903715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038653615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9919676,0.00011470495,0.00030853975,0.00011770606,0.00001392389,0.0000048007787,0.0069789067,0.000050878072,0.0004428524],"genre_scores_gemma":[0.99035066,0.00012640034,0.0005248825,0.000016853459,0.000011368417,0.000014542618,0.008737512,0.000009805592,0.00020790029],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998789,0.000021024738,0.000012289073,0.00004864276,0.000019223593,0.000019955887],"domain_scores_gemma":[0.9995228,0.00012515773,0.00012993535,0.000055631066,0.000110862566,0.00005577971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004975672,0.000336581,0.00020741901,0.00064504956,0.0003804463,0.0005384383,0.00042078656,0.00059421174,0.0008973586],"category_scores_gemma":[0.0009906844,0.0002892921,0.00049736566,0.0011503311,0.00019494024,0.0004124211,0.0002836369,0.00047790646,0.00018478298],"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":[0.00081828615,0.00019931096,0.7841735,0.00013041549,0.00064491393,0.00037196456,0.00024796466,0.19510733,0.0027857611,0.0009322245,0.0046047634,0.009983523],"study_design_scores_gemma":[0.00008482896,0.000058853133,0.91099644,0.000020558977,0.00014988524,0.00010724009,0.00014110432,0.08405373,0.0010144374,0.0003773631,0.002962929,0.000032787073],"about_ca_topic_score_codex":0.080596626,"about_ca_topic_score_gemma":0.0807012,"teacher_disagreement_score":0.080596626,"about_ca_system_score_codex":0.0009238176,"about_ca_system_score_gemma":0.00059072254,"threshold_uncertainty_score":0.16025501},"labels":[],"label_agreement":null},{"id":"W2038943392","doi":"10.1007/s00382-014-2350-y","title":"Current climate and climate change over India as simulated by the Canadian Regional Climate Model","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada","keywords":"Climatology; Environmental science; Climate model; Climate change; Monsoon; Precipitation; Forcing (mathematics); Downscaling; Meteorology; Geography; Geology","score_opus":0.021409447739697704,"score_gpt":0.2562446819155174,"score_spread":0.2348352341758197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038943392","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694802,0.0004420512,0.0010631131,0.0017587316,0.00008073131,0.00002894817,0.012030686,0.00031637202,0.014799034],"genre_scores_gemma":[0.99379975,0.00031449675,0.0006140711,0.00006891389,0.000012588966,0.000012665072,0.0033641518,0.00004029791,0.0017731597],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976295,0.000033314955,0.000009920407,0.000048147107,0.0000530891,0.00009271849],"domain_scores_gemma":[0.9992279,0.00013425961,0.00005395552,0.00004912696,0.00037989774,0.0001549093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042906165,0.00042573438,0.00045964948,0.00078908773,0.0018162057,0.0016274793,0.001799329,0.00094127195,0.0032962912],"category_scores_gemma":[0.0017952407,0.00044541346,0.0006991536,0.0028235028,0.0008532481,0.00077426946,0.0004829547,0.001309612,0.000345727],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022128972,0.00011448118,0.048806787,0.00006992704,0.00013756857,0.000116905,0.00022123677,0.9291222,0.0007037743,0.005980031,0.010018048,0.004487723],"study_design_scores_gemma":[0.00017638643,0.00003434064,0.09994733,0.00002839772,0.00014105275,0.00004521937,0.00048518437,0.887564,0.0005493962,0.001459965,0.009430725,0.00013801042],"about_ca_topic_score_codex":0.9894454,"about_ca_topic_score_gemma":0.98829365,"teacher_disagreement_score":0.9894454,"about_ca_system_score_codex":0.023896461,"about_ca_system_score_gemma":0.018717002,"threshold_uncertainty_score":0.1733818},"labels":[],"label_agreement":null},{"id":"W2039000981","doi":"10.1007/s00382-010-0910-3","title":"Simulation of regional climate change under the IPCC A2 scenario in southeast China","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Center for Neuroscience and Regenerative Medicine; Centre National de la Recherche Scientifique; National Science Foundation","keywords":"Climatology; Environmental science; Climate change; Precipitation; Climate model; Greenhouse gas; Global warming; Forcing (mathematics); Sea surface temperature; Atmospheric sciences; Geography; Geology; Meteorology; Oceanography","score_opus":0.02677758479680936,"score_gpt":0.2617260552812362,"score_spread":0.23494847048442685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039000981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996606,0.000054905948,0.00047660802,0.00025830494,0.000020137855,0.000011098824,0.00065983913,0.00006317123,0.0018499586],"genre_scores_gemma":[0.998998,0.000038405968,0.00021227001,0.000015581356,0.0000040514315,0.00000942696,0.0003333313,0.000007208997,0.00038180174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983954,0.000046945977,0.000011242604,0.000038521004,0.00001526641,0.000048558533],"domain_scores_gemma":[0.99956495,0.00014626676,0.00004771334,0.000037744463,0.00009804576,0.00010531101],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050770864,0.00082116557,0.00063045614,0.00064626825,0.0007568366,0.0008035,0.0010470822,0.0013019292,0.002470192],"category_scores_gemma":[0.0010421904,0.0004248753,0.0008627837,0.0011003856,0.0007220016,0.0007958114,0.00054313464,0.0006630595,0.00015877862],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013407551,0.00009283951,0.012829882,0.00002064485,0.000053058015,0.00015773764,0.000042445885,0.9834748,0.0005687801,0.0006922724,0.00060850295,0.0013250381],"study_design_scores_gemma":[0.00007438935,0.000042523065,0.008693223,0.0000032366643,0.000028807963,0.000009281458,0.0000576131,0.9903652,0.0002327217,0.00030455826,0.0001745903,0.000013827302],"about_ca_topic_score_codex":0.30292377,"about_ca_topic_score_gemma":0.14471234,"teacher_disagreement_score":0.30292377,"about_ca_system_score_codex":0.003141923,"about_ca_system_score_gemma":0.002570077,"threshold_uncertainty_score":0.60232115},"labels":[],"label_agreement":null},{"id":"W2039535036","doi":"10.1007/s00382-012-1422-0","title":"An assessment of Canadian prairie drought: past, present, and future","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":112,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; University of Regina; Université du Québec à Montréal; Environment and Climate Change Canada","funders":"","keywords":"Precipitation; Climatology; Environmental science; Climate change; Global warming; Physical geography; Geography; Oceanography; Meteorology; Geology","score_opus":0.014202546710472911,"score_gpt":0.273459977078563,"score_spread":0.2592574303680901,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039535036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976528,0.0017589473,0.0011768603,0.002730038,0.000056998997,0.00007740797,0.008784511,0.00005153567,0.008835644],"genre_scores_gemma":[0.99325925,0.00106257,0.0018043383,0.00014257689,0.000022818587,0.000018105919,0.0017041931,0.0000064444534,0.0019796882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995478,0.000053811356,0.000020274338,0.000061487684,0.00021125257,0.00010538395],"domain_scores_gemma":[0.9983961,0.000090928996,0.00013068064,0.00003709694,0.0011408995,0.0002042894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013834448,0.00043825692,0.0002463108,0.0011127213,0.0014891041,0.0011699977,0.00074384746,0.0003790751,0.00090096117],"category_scores_gemma":[0.002475431,0.000120455144,0.00028202924,0.0022885555,0.00026360125,0.0008183986,0.0005371471,0.00044857335,0.000065087974],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039422148,0.00016462065,0.8648113,0.0002336674,0.00039229824,0.0001429743,0.0012019883,0.015030201,0.0032046603,0.0022621434,0.011092958,0.101069026],"study_design_scores_gemma":[0.000016257154,0.00004835669,0.9748872,0.000028713195,0.00010020447,0.000028581184,0.001237567,0.014250025,0.00048715677,0.0002653429,0.008618249,0.000032399574],"about_ca_topic_score_codex":0.9863062,"about_ca_topic_score_gemma":0.99564314,"teacher_disagreement_score":0.019813916,"about_ca_system_score_codex":0.019813916,"about_ca_system_score_gemma":0.022943702,"threshold_uncertainty_score":0.14376068},"labels":[],"label_agreement":null},{"id":"W2039963322","doi":"10.1007/s003820100166","title":"Numerical investigation of an extreme storm with the Canadian Regional Climate Model: the case study of windstorm VIVIAN , Switzerland, February 27, 1990","year":2001,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Climatology; Baroclinity; Downscaling; Storm track; Storm; Geopotential height; Environmental science; Orographic lift; Forcing (mathematics); Geology; Extratropical cyclone; Climate model; Atmospheric circulation; Atmospheric sciences; Horizontal resolution; Climate change; Meteorology; Geography; Precipitation","score_opus":0.04626836645398205,"score_gpt":0.23614960061636756,"score_spread":0.1898812341623855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039963322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99355716,0.00014282476,0.00065072335,0.00024214375,0.000015483865,0.00003123177,0.0010173649,0.00005688425,0.004286104],"genre_scores_gemma":[0.99686205,0.00012105729,0.0012066689,0.00002112196,0.0000058991377,0.000013046536,0.00084359094,0.000019410345,0.0009070638],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997347,0.00005261994,0.000012089884,0.000039745002,0.000060236674,0.00010073497],"domain_scores_gemma":[0.9994306,0.00017967081,0.00004134419,0.00003734855,0.00020624422,0.00010477917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054647983,0.0007228905,0.00058696704,0.00058383937,0.002142605,0.0010967191,0.0015860731,0.0014217326,0.0013123951],"category_scores_gemma":[0.0025972384,0.00055365317,0.0005094803,0.0014640201,0.0010297068,0.0006257601,0.0006254829,0.0008891519,0.00012400522],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036375373,0.00019066295,0.034822226,0.000055320757,0.00010722757,0.00071173935,0.0002823064,0.95366555,0.001088821,0.0019929924,0.0028408484,0.0038786249],"study_design_scores_gemma":[0.00014177292,0.00008821991,0.041297726,0.000014434767,0.00007057452,0.00006955508,0.0007335423,0.95504457,0.000732502,0.0003465628,0.0014121427,0.000048413785],"about_ca_topic_score_codex":0.95025736,"about_ca_topic_score_gemma":0.9587223,"teacher_disagreement_score":0.95025736,"about_ca_system_score_codex":0.0074639064,"about_ca_system_score_gemma":0.0070380494,"threshold_uncertainty_score":0.10007113},"labels":[],"label_agreement":null},{"id":"W2039972187","doi":"10.1007/s00382-008-0442-2","title":"Detection of external influence on trends of atmospheric storminess and northern oceans wave heights","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Northern Hemisphere; Climatology; Forcing (mathematics); Southern Hemisphere; Geostrophic wind; Latitude; Environmental science; Downscaling; Boreal; Atmospheric sciences; Geology; Climate change; Oceanography","score_opus":0.010103905293069088,"score_gpt":0.20510057452604152,"score_spread":0.19499666923297243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039972187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819773,0.000010987374,0.00081709423,0.000019457586,0.0000054619327,0.0000017302561,0.0001610245,0.00002147153,0.0007650206],"genre_scores_gemma":[0.99901676,0.000014084919,0.00029010378,0.0000054797033,0.0000059506524,0.0000016577194,0.00038583644,0.000013242464,0.00026693213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998271,0.000039577102,0.000010107808,0.000052788015,0.000033087716,0.000037309386],"domain_scores_gemma":[0.99864215,0.0006960819,0.00018917164,0.0001406625,0.00015155495,0.00018037771],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050610595,0.00020696661,0.00021438165,0.0003793549,0.00025690647,0.0006564307,0.00017659202,0.0002574199,0.0010040179],"category_scores_gemma":[0.0030132,0.0001897563,0.00027102669,0.0004777978,0.00022151669,0.00034098688,0.00053100125,0.0003808242,0.00014164874],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076734426,0.000106195126,0.9341297,0.000029471103,0.0001481306,0.00011279128,0.00021347473,0.017847218,0.026976172,0.0005085026,0.00036210843,0.018798888],"study_design_scores_gemma":[0.00001211744,0.00003599175,0.9626917,0.0000029980815,0.000028792165,0.000025222565,0.000042564887,0.034647994,0.0022123659,0.00010124776,0.00019119935,0.000007840764],"about_ca_topic_score_codex":0.006262245,"about_ca_topic_score_gemma":0.011092117,"teacher_disagreement_score":0.006262245,"about_ca_system_score_codex":0.00024709737,"about_ca_system_score_gemma":0.00030745481,"threshold_uncertainty_score":0.012451589},"labels":[],"label_agreement":null},{"id":"W2040841872","doi":"10.1007/s00382-014-2152-2","title":"An interdecadal change in the influence of the spring Arctic Oscillation on the subsequent ENSO around the early 1970s","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Atmospheric circulation; Synoptic scale meteorology; Arctic oscillation; Precipitation; Walker circulation; Environmental science; Geology; Subtropical ridge; Middle latitudes; Zonal flow (plasma); Westerlies; El Niño Southern Oscillation; Spring (device); Atmospheric sciences; Geography; Meteorology; Northern Hemisphere","score_opus":0.022692583735945238,"score_gpt":0.25171372894096106,"score_spread":0.22902114520501582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040841872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910042,0.0009057599,0.00029798347,0.0011217543,0.00011037845,0.0000033594458,0.0007536803,0.00001625375,0.0057867304],"genre_scores_gemma":[0.9984816,0.00042605668,0.00006281322,0.00008052528,0.00003370802,0.0000020835419,0.00023019132,0.000006398046,0.00067663897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998921,0.000017006974,0.000008605737,0.000035338515,0.00001484446,0.000032052107],"domain_scores_gemma":[0.9996507,0.000079233316,0.000086468994,0.000024576912,0.00008247758,0.00007649783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042325063,0.00018801403,0.00013666015,0.0005656707,0.00045411394,0.0009523673,0.00015166972,0.0003831009,0.002303849],"category_scores_gemma":[0.0013476394,0.00014353867,0.00024303883,0.0008483205,0.0004541092,0.00052315375,0.00066962483,0.0005308477,0.00031330952],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015158777,0.00019088191,0.8907245,0.00022111797,0.00033956039,0.00068777706,0.0033165829,0.011415241,0.015704012,0.012562023,0.006402359,0.05692009],"study_design_scores_gemma":[0.000012417747,0.000027987026,0.9896409,0.000034185676,0.00003464318,0.000051347957,0.0005959328,0.001964373,0.00030442813,0.0006236409,0.0066990037,0.000011201907],"about_ca_topic_score_codex":0.034787927,"about_ca_topic_score_gemma":0.06270833,"teacher_disagreement_score":0.034787927,"about_ca_system_score_codex":0.00074994727,"about_ca_system_score_gemma":0.00060776423,"threshold_uncertainty_score":0.06917089},"labels":[],"label_agreement":null},{"id":"W2040962057","doi":"10.1007/s00382-001-0200-1","title":"Earth system models of intermediate complexity: closing the gap in the spectrum of climate system models","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":644,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; McGill University","funders":"","keywords":"Earth system science; Climate model; Climate system; Hierarchy; Computer science; Conceptual model; Climatology; Climate change; Environmental science; Geology","score_opus":0.049408938318384,"score_gpt":0.23254767308440955,"score_spread":0.18313873476602555,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040962057","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11197445,0.019063585,0.7839128,0.054594394,0.0012771,0.000036451012,0.00063443446,0.0010341546,0.027472783],"genre_scores_gemma":[0.91245383,0.0123074865,0.06733631,0.0017930826,0.0020510189,0.000086027794,0.00040756873,0.00048191063,0.0030827853],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976949,0.001482019,0.000088121014,0.00019588835,0.0003962918,0.00014279982],"domain_scores_gemma":[0.978637,0.015903305,0.00089874933,0.0026421456,0.0010043553,0.00091450283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0050654383,0.000838378,0.0016682683,0.0011525935,0.0011849965,0.004193764,0.0026469573,0.0022715826,0.003430465],"category_scores_gemma":[0.030684033,0.0009120757,0.0012035678,0.0011894391,0.003362762,0.018229982,0.0054216105,0.006086097,0.00057647686],"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":[0.00013014243,0.000069683214,0.0033112979,0.00019621746,0.00017523523,0.000082565384,0.0005102723,0.33763966,0.00024063178,0.60922194,0.0066833016,0.04173904],"study_design_scores_gemma":[0.000017148035,0.000011117597,0.00038954325,0.000043490476,0.000022622675,0.000014720462,0.00007997407,0.27044585,0.000045254346,0.72318393,0.0057288753,0.0000174071],"about_ca_topic_score_codex":0.0051606125,"about_ca_topic_score_gemma":0.005956798,"teacher_disagreement_score":0.0051606125,"about_ca_system_score_codex":0.0013885167,"about_ca_system_score_gemma":0.0018305636,"threshold_uncertainty_score":0.02678895},"labels":[],"label_agreement":null},{"id":"W2040998486","doi":"10.1007/s00382-012-1406-0","title":"Analysis of streamflow characteristics over Northeastern Canada in a changing climate","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hydro-Québec; McGill University; Global Institute for Water Security; University of Saskatchewan; Ouranos; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Streamflow; Climatology; Environmental science; Hydrograph; Climate change; Current (fluid); Climate model; Drainage basin; Geography; Geology","score_opus":0.004897399572060762,"score_gpt":0.2041939786859196,"score_spread":0.19929657911385884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040998486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971733,0.0000798674,0.00021425789,0.000034660592,0.0000024318315,0.000010131801,0.0015324571,0.000023670236,0.0009292172],"genre_scores_gemma":[0.99660563,0.000096491465,0.00039289263,0.000014640331,0.0000015235728,0.000005701535,0.0023393277,0.000004493683,0.0005392291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998134,0.000008464431,0.0000061487153,0.00003834575,0.00007602015,0.000057569054],"domain_scores_gemma":[0.99955624,0.000037203146,0.0000415651,0.000015576792,0.00028148034,0.00006788783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021138895,0.00025152232,0.0002290743,0.0010273341,0.0012244246,0.0007931526,0.00038543346,0.00025122415,0.00060363347],"category_scores_gemma":[0.00059370196,0.000096804186,0.00036600413,0.0023120278,0.0003294459,0.00020070962,0.0002085778,0.00021044919,0.00006643876],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016132768,0.000058347112,0.9398764,0.00004997108,0.00016519632,0.00053076504,0.00041765443,0.0300972,0.004728291,0.0003764043,0.0014031567,0.022135414],"study_design_scores_gemma":[0.000003896616,0.000012402591,0.97714293,0.000005975019,0.000028363995,0.00005522352,0.00037928481,0.02067622,0.00051907887,0.000033083925,0.0011287278,0.000014806349],"about_ca_topic_score_codex":0.9833941,"about_ca_topic_score_gemma":0.9905185,"teacher_disagreement_score":0.016605914,"about_ca_system_score_codex":0.012023743,"about_ca_system_score_gemma":0.00783503,"threshold_uncertainty_score":0.08723879},"labels":[],"label_agreement":null},{"id":"W2041065499","doi":"10.1007/s00382-004-0470-5","title":"The nonlinear association between ENSO and the Euro-Atlantic winter sea level pressure","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Atlantic multidecadal oscillation; Northern Hemisphere; Anomaly (physics); Sea surface temperature; North Atlantic oscillation; Geology; El Niño Southern Oscillation; Tropical Atlantic; Oceanography","score_opus":0.01402312166409203,"score_gpt":0.23051824534212867,"score_spread":0.21649512367803664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041065499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824333,0.00048190352,0.005560623,0.0027797443,0.000121923906,0.000008356487,0.00064148096,0.00006022826,0.007912398],"genre_scores_gemma":[0.9968951,0.00025440997,0.000317012,0.00006816825,0.00003123662,0.0000028375039,0.00019197665,0.000021468186,0.002217732],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989927,0.00004011631,0.000006707817,0.00002398568,0.000015145521,0.000014818681],"domain_scores_gemma":[0.9988426,0.0006664886,0.00017758129,0.000085885804,0.00016208329,0.00006541217],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060749927,0.00024987734,0.0001360977,0.00020194372,0.00027450098,0.0009945707,0.00026288116,0.0005711447,0.0031028413],"category_scores_gemma":[0.0038099703,0.00029541078,0.0002819827,0.0004567535,0.00041634505,0.000983402,0.000649679,0.0006196434,0.00038391128],"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":[0.00038413657,0.0001017237,0.6390653,0.00013265462,0.00032663753,0.00024354472,0.00045659626,0.2974783,0.007873256,0.026510807,0.0049591544,0.022467857],"study_design_scores_gemma":[0.000029135499,0.000050253893,0.52813965,0.000028727676,0.00006674247,0.000109193075,0.00019861752,0.45037857,0.0006988106,0.016614458,0.00364732,0.00003850532],"about_ca_topic_score_codex":0.014430427,"about_ca_topic_score_gemma":0.017466601,"teacher_disagreement_score":0.014430427,"about_ca_system_score_codex":0.0005593099,"about_ca_system_score_gemma":0.0005472753,"threshold_uncertainty_score":0.028692901},"labels":[],"label_agreement":null},{"id":"W2041454251","doi":"10.1007/s00382-012-1575-x","title":"An approximate energy cycle for inter-member variability in ensemble simulations of a regional climate model","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Energetics; Downscaling; Statistical physics; Climate model; Context (archaeology); Ensemble forecasting; Kinetic energy; Climatology; Environmental science; Meteorology; Physics; Climate change; Geology; Thermodynamics; Classical mechanics","score_opus":0.02889569361892752,"score_gpt":0.28467871546388607,"score_spread":0.25578302184495855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041454251","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":[0.18597081,0.000702346,0.8000016,0.00083490834,0.000095111485,0.000060817216,0.00041463826,0.00021479583,0.01170494],"genre_scores_gemma":[0.94406855,0.0003976238,0.051664814,0.00012093625,0.000047613557,0.0002153986,0.00036370446,0.00017956493,0.0029418906],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997739,0.00010301258,0.000012364003,0.00003138394,0.00005566219,0.000023671097],"domain_scores_gemma":[0.9995789,0.00019919037,0.000058778394,0.000058673108,0.000073815594,0.000030702093],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001056335,0.00033689835,0.00043477907,0.00052022736,0.00062940485,0.0010316701,0.0011643154,0.0010205602,0.001327985],"category_scores_gemma":[0.0033696843,0.00031851412,0.00056462066,0.0006040072,0.0008033648,0.0016012518,0.00076879613,0.0008409178,0.00020832062],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012215966,0.00000970266,0.0011968059,0.000014429935,0.000016821481,0.000031411142,0.00004197663,0.95197463,0.00061387435,0.041939083,0.0002865558,0.0038625812],"study_design_scores_gemma":[0.0000017790524,0.0000030453377,0.00018035203,0.0000026698642,0.0000020991888,0.0000045928923,0.000004894492,0.9912191,0.00005938843,0.008208009,0.000311212,0.0000029252337],"about_ca_topic_score_codex":0.009221965,"about_ca_topic_score_gemma":0.0071572396,"teacher_disagreement_score":0.009221965,"about_ca_system_score_codex":0.0010852489,"about_ca_system_score_gemma":0.00095011236,"threshold_uncertainty_score":0.018336594},"labels":[],"label_agreement":null},{"id":"W2041683424","doi":"10.1007/s00382-014-2335-x","title":"Potential predictability of Northern America surface temperature in AGCMs and CGCMs","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Predictability; Climatology; Environmental science; Forcing (mathematics); Sea surface temperature; Forecast skill; Mode (computer interface); El Niño Southern Oscillation; Atmospheric sciences; Meteorology; Computer science; Mathematics; Statistics; Geography; Geology","score_opus":0.0034017870398508365,"score_gpt":0.19546652141059923,"score_spread":0.1920647343707484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041683424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840088,0.00061705755,0.0036191198,0.001643364,0.00012747041,0.000015746433,0.0042075315,0.00042063778,0.00534017],"genre_scores_gemma":[0.9975885,0.00012423951,0.0007488823,0.000039314287,0.000031899224,0.000009867989,0.0010732042,0.000042274558,0.0003417995],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979836,0.000073548865,0.000010196238,0.00005755474,0.000022677203,0.000037625214],"domain_scores_gemma":[0.9992009,0.0003380615,0.00008576516,0.00008046418,0.00017719441,0.000117561154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009892168,0.0005148103,0.00036723036,0.00039493162,0.0005138514,0.0012247178,0.00053700554,0.0006486251,0.0016133976],"category_scores_gemma":[0.0034019933,0.00032473603,0.0005713024,0.0008697133,0.0004319437,0.001609243,0.0005742558,0.0006282964,0.0001753141],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004637021,0.000064817876,0.11646098,0.000089001005,0.00026702683,0.0001660197,0.0001514384,0.8561512,0.0021805675,0.008298952,0.005588954,0.010117287],"study_design_scores_gemma":[0.00013926532,0.000039174214,0.08545953,0.00003521101,0.00009531058,0.000025377363,0.0001238141,0.90387434,0.00082989375,0.0063309055,0.0029917445,0.000055477063],"about_ca_topic_score_codex":0.087781064,"about_ca_topic_score_gemma":0.05519369,"teacher_disagreement_score":0.087781064,"about_ca_system_score_codex":0.0012996404,"about_ca_system_score_gemma":0.0010430133,"threshold_uncertainty_score":0.17454028},"labels":[],"label_agreement":null},{"id":"W2042839918","doi":"10.1007/s00382-011-1160-8","title":"Understanding and simulating the link between African easterly waves and Atlantic tropical cyclones using a regional climate model: the role of domain size and lateral boundary conditions","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Tropical wave; African easterly jet; Climatology; Tropical cyclone; Tropical cyclogenesis; Tropical Atlantic; Cyclogenesis; Climate model; Subtropics; Monsoon trough; Geology; Extratropical cyclone; Tropical cyclone rainfall forecasting; Environmental science; Climate change; Cyclone (programming language); Sea surface temperature; Oceanography","score_opus":0.07456046192174587,"score_gpt":0.26201550960893566,"score_spread":0.1874550476871898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042839918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914792,0.0001179349,0.005548584,0.0003465911,0.000034512137,0.000017344328,0.00019351626,0.00006901687,0.0021933494],"genre_scores_gemma":[0.9970812,0.00006721772,0.0023507518,0.00003140783,0.000012974899,0.0000103448265,0.00009341678,0.0000196265,0.0003330765],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998722,0.000049039376,0.000009287229,0.000029163386,0.000009742331,0.000030516541],"domain_scores_gemma":[0.9991978,0.00049514795,0.000097598975,0.000054535973,0.0000674883,0.00008748349],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054366107,0.0005973923,0.0005105525,0.00032093865,0.00057398196,0.0012147843,0.00089937705,0.0018251392,0.0015747892],"category_scores_gemma":[0.0030459852,0.0006158175,0.0005770401,0.00034539032,0.00065328827,0.0016437796,0.00070211623,0.0011766808,0.000113271526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005093991,0.00006308092,0.006302117,0.000011252992,0.00003635744,0.000036207373,0.000024959712,0.9906466,0.0008630138,0.00087382685,0.000091294045,0.001000307],"study_design_scores_gemma":[0.000022651322,0.000010025596,0.0009836649,0.0000014507362,0.000010581347,0.0000029831176,0.000023102266,0.9985298,0.00012875017,0.00023094831,0.000051898172,0.000004113755],"about_ca_topic_score_codex":0.06466159,"about_ca_topic_score_gemma":0.0457578,"teacher_disagreement_score":0.06466159,"about_ca_system_score_codex":0.0011107208,"about_ca_system_score_gemma":0.0014901706,"threshold_uncertainty_score":0.12857044},"labels":[],"label_agreement":null},{"id":"W2042852420","doi":"10.1007/s00382-015-2626-x","title":"Validation of non-stationary precipitation series for site-specific impact assessment: comparison of two statistical downscaling techniques","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec; Université du Québec à Montréal","funders":"National Oceanic and Atmospheric Administration; Griffith University","keywords":"Downscaling; Environmental science; Precipitation; Climatology; Range (aeronautics); Climate model; Climate change; Series (stratigraphy); Computer science; Meteorology; Geology; Geography","score_opus":0.038746751956582774,"score_gpt":0.3719631617763127,"score_spread":0.33321640981972994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042852420","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8443454,0.00026064174,0.15158373,0.00008039866,0.00010748992,0.000099379125,0.0009158863,0.00089123205,0.0017158947],"genre_scores_gemma":[0.939089,0.00021647844,0.05819039,0.00003059038,0.00003386286,0.000076708355,0.001709197,0.00018853245,0.0004652355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994437,0.00016393678,0.000073333846,0.000120662065,0.00014686106,0.000051432125],"domain_scores_gemma":[0.99666363,0.0015424477,0.00029107239,0.0005639734,0.00085342524,0.000085372885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027331507,0.00061190315,0.0004071157,0.001195933,0.0003334749,0.0005974922,0.0008332883,0.0006398747,0.00093471137],"category_scores_gemma":[0.0067518298,0.00021468541,0.0005928772,0.0008938356,0.00027924127,0.0008948241,0.00051459717,0.00056606124,0.00030841804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0019212356,0.0009783604,0.09527687,0.00045135777,0.00066355517,0.00020851861,0.0004053743,0.44559532,0.07285025,0.0021845186,0.0019256161,0.37753904],"study_design_scores_gemma":[0.000096311465,0.0001837072,0.05241699,0.000026266564,0.0001141084,0.000050724222,0.00008081965,0.9277338,0.01794663,0.00046552738,0.0008561244,0.000028982278],"about_ca_topic_score_codex":0.0050458666,"about_ca_topic_score_gemma":0.005037497,"teacher_disagreement_score":0.0050458666,"about_ca_system_score_codex":0.0002145747,"about_ca_system_score_gemma":0.00069083937,"threshold_uncertainty_score":0.014454484},"labels":[],"label_agreement":null},{"id":"W2043494297","doi":"10.1007/s00382-008-0422-6","title":"Multidecadal hydroclimatic variability in northeastern North America since 1550 AD","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"Government of Ontario","keywords":"Atlantic multidecadal oscillation; Climatology; Dendrochronology; Boreal; Arctic; Dendroclimatology; North Atlantic oscillation; Taiga; Arctic dipole anomaly; Arctic oscillation; Environmental science; Oceanography; Climate change; Geology; Arctic ice pack; Geography; Northern Hemisphere; Antarctic sea ice","score_opus":0.013078196144146528,"score_gpt":0.22004668160827576,"score_spread":0.20696848546412921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043494297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970415,0.0003653612,0.000099172605,0.00024269002,0.000022414642,0.000002507793,0.0014309307,0.000010410146,0.00078477466],"genre_scores_gemma":[0.9981456,0.00018481142,0.00010233429,0.000045438373,0.000014685497,0.0000048068323,0.0008967884,0.000002597794,0.00060298835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999385,0.000006230987,0.000005621368,0.000027146232,0.000008084671,0.0000144106425],"domain_scores_gemma":[0.9997645,0.000028112647,0.00008060544,0.000014176481,0.00007319958,0.0000394555],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024639582,0.00013857204,0.0001360593,0.0006145147,0.00036903194,0.00040846423,0.00020090053,0.00023463395,0.0011866897],"category_scores_gemma":[0.00048218857,0.00012920421,0.00017535823,0.0007810542,0.00023343014,0.00048269235,0.0004897691,0.00022732322,0.0001275244],"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":[0.000053509706,0.000023531644,0.98776555,0.000046932924,0.00013718865,0.000111293666,0.0011467838,0.0006210355,0.002119419,0.00017885027,0.0011968244,0.00659904],"study_design_scores_gemma":[7.187802e-7,0.0000028391894,0.99864084,0.000003686581,0.000008941522,0.000016113123,0.0001845645,0.00015722573,0.000042007367,0.000017945069,0.0009234476,0.0000016673296],"about_ca_topic_score_codex":0.118803866,"about_ca_topic_score_gemma":0.3205781,"teacher_disagreement_score":0.88119614,"about_ca_system_score_codex":0.0006720335,"about_ca_system_score_gemma":0.00039591815,"threshold_uncertainty_score":0.23622471},"labels":[],"label_agreement":null},{"id":"W2044624956","doi":"10.1007/s00382-009-0695-4","title":"Scale-decomposed atmospheric water budget over North America as simulated by the Canadian Regional Climate Model for current and future climates","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Environmental science; Climatology; Climate model; Climate change; Downscaling; Current (fluid); Scale (ratio); Atmospheric sciences; Precipitation; Geography; Meteorology; Geology","score_opus":0.00788834218676233,"score_gpt":0.23550744288213116,"score_spread":0.22761910069536884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044624956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9780381,0.00043517063,0.0016390702,0.0009704907,0.00008455379,0.000043014647,0.011383176,0.00032937556,0.0070772287],"genre_scores_gemma":[0.994214,0.00026284155,0.0011910364,0.00008171919,0.000010717866,0.00002123176,0.0029609802,0.000049208422,0.0012083442],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978226,0.00002305557,0.000010662398,0.00006175948,0.000052979358,0.00006923406],"domain_scores_gemma":[0.9995472,0.000039086754,0.000029355926,0.00003066384,0.00027446798,0.00007932823],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004400438,0.00047561823,0.00052984245,0.0006945911,0.0014155748,0.0010938742,0.0015675364,0.0007717082,0.002114051],"category_scores_gemma":[0.0013373991,0.00045792357,0.0008648097,0.0018759436,0.00073138205,0.0007418455,0.0004243572,0.000822614,0.0002565907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019864838,0.000099227764,0.07064053,0.00007940076,0.0003297913,0.000107995016,0.00019242575,0.90640837,0.0024463057,0.0035408752,0.0080090165,0.007947422],"study_design_scores_gemma":[0.00014240126,0.000017903745,0.16031295,0.000020621612,0.00014264644,0.000031071082,0.000235147,0.8317933,0.00076252513,0.0013833102,0.005040154,0.000117919415],"about_ca_topic_score_codex":0.9866844,"about_ca_topic_score_gemma":0.9871575,"teacher_disagreement_score":0.019111786,"about_ca_system_score_codex":0.019111786,"about_ca_system_score_gemma":0.018322509,"threshold_uncertainty_score":0.13866633},"labels":[],"label_agreement":null},{"id":"W2044656990","doi":"10.1007/s00382-010-0846-7","title":"Impact of resolution and downscaling technique in simulating recent Atlantic tropical cylone activity","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Downscaling; Climatology; Tropical wave; Tropical cyclogenesis; Tropical cyclone; African easterly jet; Cyclogenesis; Teleconnection; Environmental science; Tropical Atlantic; Climate model; Cyclone (programming language); Precipitation; Meteorology; Geology; Sea surface temperature; Climate change; Geography; Computer science; Oceanography","score_opus":0.014553947770843205,"score_gpt":0.28714341327522813,"score_spread":0.27258946550438495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044656990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857385,0.000272411,0.009892747,0.00031114885,0.000094965646,0.000029195002,0.00044692808,0.00027242897,0.0029417626],"genre_scores_gemma":[0.98931956,0.000090832684,0.009836366,0.00007309812,0.000022561297,0.00001329087,0.0002535296,0.000049557406,0.0003412473],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997031,0.00012534564,0.000041466043,0.000057056932,0.0000391564,0.000033780005],"domain_scores_gemma":[0.99820054,0.0010474232,0.00013847383,0.0002264272,0.00029676536,0.000090279354],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015712341,0.0003437485,0.00038336962,0.00026139012,0.0004195543,0.00092010887,0.00058993226,0.00084865716,0.0011064084],"category_scores_gemma":[0.0063025905,0.0002973778,0.0004437082,0.00043406655,0.00032252536,0.00078363396,0.00035199622,0.0006710508,0.00013870714],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007591093,0.00038537366,0.065187566,0.00008865272,0.00019658358,0.00015245851,0.000107685315,0.8818256,0.01346181,0.0008702449,0.00075238623,0.036212455],"study_design_scores_gemma":[0.00011934412,0.00010964873,0.01861483,0.000017387309,0.000080339014,0.000030076577,0.00005363018,0.97429174,0.0059684413,0.00011951862,0.00057628524,0.00001870638],"about_ca_topic_score_codex":0.020117693,"about_ca_topic_score_gemma":0.01625836,"teacher_disagreement_score":0.020117693,"about_ca_system_score_codex":0.00038298112,"about_ca_system_score_gemma":0.00069570635,"threshold_uncertainty_score":0.040001214},"labels":[],"label_agreement":null},{"id":"W2044900008","doi":"10.1007/s003820000062","title":"Holocene changes in seasonal precipitation highlighted by fire incidence in eastern Canada","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":134,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Holocene; Climatology; Precipitation; Geology; Holocene climatic optimum; Arctic; Physical geography; Oceanography; Environmental science; Geography; Meteorology","score_opus":0.008054057460776894,"score_gpt":0.21946818616810876,"score_spread":0.21141412870733187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2044900008","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951657,0.00046743083,0.000039447244,0.00035825514,0.00001349124,0.0000064685396,0.001826043,0.000007815178,0.0021153227],"genre_scores_gemma":[0.9973297,0.00029431575,0.000051529965,0.000058421458,0.0000061940154,0.000003070916,0.00070906023,0.000004547124,0.0015431945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997298,0.000012880383,0.000017082768,0.0000389876,0.000055876353,0.00014540475],"domain_scores_gemma":[0.99869305,0.00008364469,0.00018845973,0.000027436174,0.00065066956,0.0003567923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028183058,0.00015996698,0.00026994562,0.0014547097,0.0021497244,0.0015656771,0.00080881856,0.00048538408,0.0029029937],"category_scores_gemma":[0.0012552429,0.00023618173,0.0002500804,0.0031277598,0.0006577822,0.0004597115,0.00079528644,0.00055544893,0.00023094052],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001965183,0.000032900567,0.9844475,0.00004046433,0.00007044625,0.0002044857,0.0019770467,0.0003726409,0.0009821169,0.00026884777,0.0018768314,0.009530037],"study_design_scores_gemma":[0.0000019396057,0.0000026504288,0.9978497,0.0000069436637,0.00000655736,0.000021182967,0.0011727087,0.00010678342,0.000040823255,0.000010420523,0.00077669445,0.0000036039744],"about_ca_topic_score_codex":0.993476,"about_ca_topic_score_gemma":0.99768615,"teacher_disagreement_score":0.016032668,"about_ca_system_score_codex":0.016032668,"about_ca_system_score_gemma":0.015654776,"threshold_uncertainty_score":0.11632568},"labels":[],"label_agreement":null},{"id":"W2045012408","doi":"10.1007/s00382-004-0445-6","title":"Modelling the sea ice-ocean seasonal cycle in Hudson Bay, Foxe Basin and Hudson Strait, Canada","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":196,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University; Université du Québec à Montréal; Ouranos; Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Bay; Sea ice; Oceanography; Geology; Arctic ice pack; Climatology; Antarctic sea ice; Sea ice thickness; Advection; Cryosphere; Drift ice; Environmental science","score_opus":0.007136587452365088,"score_gpt":0.18429547817796862,"score_spread":0.17715889072560354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045012408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995449,0.00016006092,0.00039601768,0.0002138156,0.000024492381,0.00002263115,0.0016411238,0.00004666803,0.0020461497],"genre_scores_gemma":[0.9960419,0.00013758398,0.00061447156,0.000032733926,0.0000041146536,0.000013578791,0.00091082184,0.00001653856,0.0022282123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998523,0.000020027044,0.000007808343,0.000034966943,0.000021345937,0.00006351211],"domain_scores_gemma":[0.99952567,0.00011563492,0.000029961093,0.000015417798,0.00018324047,0.00013018094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035136807,0.0006391396,0.0005833766,0.0006611131,0.001514883,0.0020390307,0.0016531164,0.0011313091,0.0027351738],"category_scores_gemma":[0.0013833822,0.00059427996,0.000713761,0.0013643658,0.00085959816,0.00066296145,0.00063578057,0.00064599206,0.00017590854],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025130337,0.000098806035,0.08832896,0.000050810955,0.00014980088,0.00020809079,0.000199916,0.9028022,0.00075280265,0.0011435073,0.002224961,0.0037888417],"study_design_scores_gemma":[0.00014562062,0.000047138106,0.055145483,0.00002368165,0.00008900905,0.000023670746,0.0008694281,0.94068277,0.00052106293,0.00040931007,0.002000213,0.00004271402],"about_ca_topic_score_codex":0.9918528,"about_ca_topic_score_gemma":0.9906838,"teacher_disagreement_score":0.021999205,"about_ca_system_score_codex":0.021999205,"about_ca_system_score_gemma":0.017067678,"threshold_uncertainty_score":0.15961611},"labels":[],"label_agreement":null},{"id":"W2045035011","doi":"10.1007/s00382-012-1367-3","title":"Tropical/extratropical forcing on wintertime variability of the extratropical temperature and circulation","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Extratropical cyclone; Climatology; Forcing (mathematics); Environmental science; Teleconnection; Atmospheric circulation; Northern Hemisphere; Middle latitudes; Geopotential height; Atmospheric sciences; Geology; Geography; Precipitation; El Niño Southern Oscillation; Meteorology","score_opus":0.008965627547325487,"score_gpt":0.22137966125398625,"score_spread":0.21241403370666076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045035011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98524797,0.0005284962,0.0012535749,0.0008928369,0.0001072201,0.000008729656,0.001148061,0.00008599935,0.0107271755],"genre_scores_gemma":[0.997988,0.00039010885,0.00019980066,0.0000628256,0.00004794827,0.000004862874,0.00018882609,0.000037406415,0.0010802549],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999928,0.000022739028,0.0000052347714,0.000010797819,0.000008726296,0.000024510502],"domain_scores_gemma":[0.9996507,0.00011269898,0.000046181223,0.000027798498,0.000067614325,0.000094990784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034176375,0.00045553598,0.00028738845,0.00024590158,0.0004964177,0.00068395847,0.0004278698,0.00044033668,0.0053090667],"category_scores_gemma":[0.0011163247,0.00029915938,0.0006130157,0.0005073337,0.0004139468,0.0006084698,0.00077279075,0.0004981922,0.00040244916],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00097406533,0.000168062,0.2148617,0.00027594753,0.00044364584,0.0011603625,0.0005367045,0.7058527,0.02102465,0.023945998,0.007865059,0.022891145],"study_design_scores_gemma":[0.00018940015,0.00005870578,0.41729152,0.000061545725,0.00023050074,0.00017889906,0.0003200703,0.57004267,0.0012622757,0.0061015636,0.004200906,0.00006195134],"about_ca_topic_score_codex":0.061312072,"about_ca_topic_score_gemma":0.07133994,"teacher_disagreement_score":0.061312072,"about_ca_system_score_codex":0.0008883863,"about_ca_system_score_gemma":0.00092889415,"threshold_uncertainty_score":0.12191039},"labels":[],"label_agreement":null},{"id":"W2045164594","doi":"10.1007/s00382-012-1543-5","title":"Quasi-stationarity of centennial Northern Hemisphere midlatitude winter storm tracks","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Extratropical cyclone; Storm track; Climatology; Middle latitudes; Storm; Centennial; Northern Hemisphere; Winter storm; Southern Hemisphere; Atmospheric circulation; Geopotential height; Environmental science; Atmospheric sciences; Geology; Geography; Meteorology; Oceanography; Precipitation","score_opus":0.01315094626630524,"score_gpt":0.2433719970406574,"score_spread":0.23022105077435215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045164594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798192,0.00012644441,0.017125463,0.00015909795,0.00003520939,0.000005245981,0.0005814087,0.000056079738,0.0020919875],"genre_scores_gemma":[0.9986842,0.000036009653,0.00046438604,0.000007230263,0.000009889706,0.0000026716255,0.00031289953,0.000014827671,0.00046784754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99986005,0.000035907593,0.0000084793855,0.00004676391,0.000021332547,0.000027436294],"domain_scores_gemma":[0.9988702,0.000601682,0.00016482503,0.00016491464,0.0001292789,0.000069116235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080294005,0.00012914547,0.00026530214,0.00033083803,0.0003459837,0.0009870769,0.00050768664,0.00032989722,0.0015656904],"category_scores_gemma":[0.00438381,0.0002648043,0.00026336988,0.0005829397,0.000314605,0.0008396247,0.0003552655,0.0003862092,0.00014743401],"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":[0.00034101005,0.000049376096,0.15355197,0.000047796882,0.00014921116,0.00023026214,0.0003885872,0.78482157,0.004410301,0.035916,0.0022542863,0.017839596],"study_design_scores_gemma":[0.000019459134,0.000017834596,0.10272669,0.000008014975,0.00001624145,0.000039780003,0.000052963653,0.8869271,0.00031855478,0.009289367,0.0005685711,0.0000154306],"about_ca_topic_score_codex":0.010757493,"about_ca_topic_score_gemma":0.01201049,"teacher_disagreement_score":0.010757493,"about_ca_system_score_codex":0.0005379261,"about_ca_system_score_gemma":0.000390979,"threshold_uncertainty_score":0.021389782},"labels":[],"label_agreement":null},{"id":"W2046492186","doi":"10.1007/s00382-007-0279-0","title":"CO2 threshold for millennial-scale oscillations in the climate system: implications for global warming scenarios","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; University of Victoria","keywords":"Stratification (seeds); Climatology; Environmental science; Deep sea; Carbon dioxide; Carbon dioxide in Earth's atmosphere; Atmospheric sciences; Global warming; Climate system; Latitude; Climate change; Oceanography; Geology; Chemistry","score_opus":0.025336032615550813,"score_gpt":0.29792090201515314,"score_spread":0.27258486939960236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046492186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97436416,0.0017279673,0.0072370027,0.004514695,0.00014745537,0.000026247042,0.0012752598,0.00017914665,0.010528105],"genre_scores_gemma":[0.9993326,0.000071115595,0.00026385457,0.000078073106,0.000011507594,0.000006076047,0.0001074463,0.000011101225,0.00011809392],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969995,0.00006112831,0.00002857694,0.00007444684,0.00004811768,0.00008778459],"domain_scores_gemma":[0.9969733,0.0016007681,0.00042661245,0.00011355568,0.000435838,0.0004499222],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017797997,0.0003292249,0.0005706101,0.0010302122,0.0008483572,0.00363608,0.000753355,0.0016258028,0.0038129757],"category_scores_gemma":[0.007675493,0.00027979934,0.0006106971,0.00067801017,0.00073922554,0.002945461,0.0012775637,0.001033206,0.00023804595],"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":[0.0055874563,0.00030025354,0.43126482,0.00091759674,0.0007239147,0.0018478426,0.000986027,0.24020275,0.04698818,0.23332687,0.011798587,0.02605565],"study_design_scores_gemma":[0.0004573092,0.00024128717,0.38555953,0.00015076243,0.00042206267,0.00074753666,0.0032306476,0.36023864,0.012678704,0.23152551,0.004480765,0.00026727753],"about_ca_topic_score_codex":0.020615226,"about_ca_topic_score_gemma":0.010030659,"teacher_disagreement_score":0.020615226,"about_ca_system_score_codex":0.0028168408,"about_ca_system_score_gemma":0.001770588,"threshold_uncertainty_score":0.04099047},"labels":[],"label_agreement":null},{"id":"W2046663953","doi":"10.1007/s00382-009-0550-7","title":"Modeled winter sea ice variability and the North Atlantic Oscillation: a multi-century perspective","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Climatology; Sea ice; North Atlantic oscillation; Geology; Arctic ice pack; Context (archaeology); Drift ice; Advection; Arctic sea ice decline; Oceanography; Environmental science","score_opus":0.008366577938200502,"score_gpt":0.21504200930877793,"score_spread":0.20667543137057742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046663953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938863,0.00057048036,0.0020118298,0.00013458426,0.000023737213,0.0000055214387,0.0012987918,0.000029666113,0.0020391196],"genre_scores_gemma":[0.99783605,0.00033928614,0.00066732836,0.00001930994,0.000021688404,0.0000069897706,0.0007321645,0.000014703432,0.0003625538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999107,0.000025468906,0.0000073708493,0.000028613102,0.000011598716,0.000016214004],"domain_scores_gemma":[0.9997416,0.000111569,0.00006339507,0.00003477552,0.000025106508,0.000023506967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051532855,0.0003314429,0.00029812157,0.00051251013,0.00020466803,0.0009350771,0.00041073322,0.0004896309,0.0009985822],"category_scores_gemma":[0.00090600265,0.0001975746,0.00074404635,0.0006763425,0.00020618545,0.0007307275,0.0005346689,0.00037371332,0.000103415434],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018414448,0.00007742217,0.34053892,0.00006744784,0.0007108958,0.00023004705,0.00008195117,0.64153177,0.003339401,0.0018305215,0.00041849655,0.010989007],"study_design_scores_gemma":[0.00003538483,0.00012279558,0.32592127,0.000038465587,0.00024832232,0.00011758767,0.00013459717,0.6656573,0.0016587565,0.002376212,0.0036345762,0.00005476079],"about_ca_topic_score_codex":0.010877966,"about_ca_topic_score_gemma":0.011434029,"teacher_disagreement_score":0.010877966,"about_ca_system_score_codex":0.0005785142,"about_ca_system_score_gemma":0.00028403848,"threshold_uncertainty_score":0.021629274},"labels":[],"label_agreement":null},{"id":"W2046873294","doi":"10.1007/s00382-013-1714-z","title":"The simulation of European heat waves from an ensemble of regional climate models within the EURO-CORDEX project","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":400,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Research Committee, Aristotle University of Thessaloniki; Fonds National de la Recherche Luxembourg","keywords":"Climatology; Climate model; Environmental science; Precipitation; Heat wave; Mediterranean climate; Meteorology; Climate change; Atmospheric sciences; Geology; Physics; Geography","score_opus":0.030457929392909446,"score_gpt":0.2601708244056327,"score_spread":0.22971289501272327,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046873294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97447443,0.00038317608,0.016102865,0.0004771597,0.00021972139,0.000056101268,0.003056422,0.00075022306,0.0044800085],"genre_scores_gemma":[0.9856484,0.00014263486,0.009979665,0.000056927987,0.00005253212,0.00006393289,0.0030442646,0.000177589,0.0008341567],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958616,0.00018249259,0.000024313971,0.000086793945,0.0000586005,0.00006164176],"domain_scores_gemma":[0.99911875,0.00043617922,0.000067904846,0.000115306866,0.00013482127,0.00012707316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014390745,0.0010072436,0.0010013283,0.00056820427,0.0005695183,0.0012025114,0.0012426008,0.0018356354,0.0015006434],"category_scores_gemma":[0.002974068,0.0005719971,0.00096377457,0.0010093417,0.00046564033,0.0013610045,0.0007536705,0.0012428932,0.00021715027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002161395,0.00011015904,0.004865593,0.0000385028,0.00011992071,0.00008261877,0.0000678216,0.986873,0.00086414,0.0011841361,0.0013876325,0.0041903052],"study_design_scores_gemma":[0.000079710015,0.000024514311,0.0025856742,0.0000052832597,0.000021899046,0.000008478782,0.000014264842,0.9957912,0.0005447554,0.0004004245,0.0005094372,0.000014279992],"about_ca_topic_score_codex":0.06751515,"about_ca_topic_score_gemma":0.032662548,"teacher_disagreement_score":0.06751515,"about_ca_system_score_codex":0.001151688,"about_ca_system_score_gemma":0.0012984847,"threshold_uncertainty_score":0.13424432},"labels":[],"label_agreement":null},{"id":"W2047603269","doi":"10.1007/s00382-002-0274-4","title":"A GCM-based assessment of the global moisture budget and the role of land-surface moisture reservoirs in processing precipitation","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Evapotranspiration; Environmental science; Precipitation; Moisture; Surface runoff; Water cycle; Climatology; Water content; Atmospheric sciences; Meteorology; Geology; Geography","score_opus":0.00754672337818279,"score_gpt":0.24136691469617114,"score_spread":0.23382019131798834,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2047603269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9560566,0.0008375658,0.030139692,0.0011427399,0.00007437117,0.000079244746,0.0037423056,0.00050288875,0.0074244924],"genre_scores_gemma":[0.9807788,0.00019608624,0.017747222,0.000054667787,0.000018576044,0.000020901747,0.00069456646,0.0000356585,0.0004535496],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988115,0.000034921897,0.0000069387816,0.00002497641,0.00003997619,0.00001214227],"domain_scores_gemma":[0.9997216,0.000101434,0.000029310524,0.000032698845,0.000077281664,0.000037663358],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061396294,0.00046626703,0.00027577113,0.00071616075,0.00033557945,0.0010069774,0.00043232436,0.0009849365,0.00123024],"category_scores_gemma":[0.0017892274,0.00029677254,0.00030815793,0.00093785056,0.00033964502,0.0017905436,0.0004195109,0.00050283875,0.0001658788],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068386697,0.0002678718,0.06629518,0.00022796555,0.00032265563,0.0001398738,0.000075787866,0.8166483,0.024396054,0.0118374005,0.0028204082,0.076284625],"study_design_scores_gemma":[0.00006267175,0.000039846545,0.025268836,0.0000123413165,0.00004344724,0.00001877667,0.000022482078,0.9661428,0.004141698,0.0032234667,0.0010022031,0.000021537951],"about_ca_topic_score_codex":0.023465274,"about_ca_topic_score_gemma":0.025287846,"teacher_disagreement_score":0.023465274,"about_ca_system_score_codex":0.0015983202,"about_ca_system_score_gemma":0.0013397658,"threshold_uncertainty_score":0.046657383},"labels":[],"label_agreement":null},{"id":"W2048122122","doi":"10.1007/s00382-007-0302-5","title":"The impact of atmospheric nonlinearities on the fastest growth of ENSO prediction error","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; El Niño Southern Oscillation; Nonlinear system; Atmospheric model; Tangent; Initial value problem; Oscillation (cell signaling); Environmental science; Meteorology; Mathematics; Geology; Physics; Mathematical analysis","score_opus":0.012881207126124328,"score_gpt":0.25367702589753255,"score_spread":0.2407958187714082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2048122122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98595953,0.00051142677,0.003434397,0.0022434061,0.0001504728,0.0000066675716,0.00060496165,0.000100616715,0.006988529],"genre_scores_gemma":[0.99880886,0.00012943578,0.000354189,0.000042073374,0.00003777077,0.0000019092242,0.00011325748,0.0000492588,0.00046332914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99934596,0.0002087783,0.000051061495,0.00012789265,0.0001134661,0.00015285652],"domain_scores_gemma":[0.97628015,0.018397816,0.0013176011,0.0011782065,0.0021263815,0.0006999011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028962616,0.00047092358,0.0003399756,0.00042143182,0.0011655821,0.0017085049,0.00035363797,0.0010002542,0.003986503],"category_scores_gemma":[0.038160864,0.00039902647,0.0004421732,0.00044074698,0.00078226527,0.0020846624,0.0014605083,0.0017106404,0.0005426306],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028275016,0.00022757973,0.37630796,0.00031538965,0.00028400967,0.0012809316,0.0005975229,0.50426275,0.020255508,0.0188933,0.0064017614,0.0683458],"study_design_scores_gemma":[0.00008961553,0.00018241824,0.23344672,0.00006929298,0.0001090845,0.00028692084,0.0005039465,0.73456085,0.014413785,0.014301179,0.00196115,0.0000749857],"about_ca_topic_score_codex":0.0130242,"about_ca_topic_score_gemma":0.011965026,"teacher_disagreement_score":0.0130242,"about_ca_system_score_codex":0.00077462924,"about_ca_system_score_gemma":0.0011340448,"threshold_uncertainty_score":0.025896788},"labels":[],"label_agreement":null},{"id":"W2049194895","doi":"10.1007/s00382-010-0770-x","title":"The variable link between PNA and NAO in observations and in multi-century CGCM simulations","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Freie Universität Berlin; Deutsches Klimarechenzentrum","keywords":"Baroclinity; Storm track; Climatology; Geopotential height; Advection; Environmental science; Storm; North Atlantic oscillation; Eddy; Geopotential; Atmospheric sciences; Forcing (mathematics); Precipitation; Geology; Meteorology; Geography; Oceanography","score_opus":0.027881112322106952,"score_gpt":0.2622708814974389,"score_spread":0.23438976917533194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049194895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996561,0.00009560945,0.00091382687,0.000085467465,0.0000156156,0.000006423866,0.0017003218,0.00009534958,0.0005263625],"genre_scores_gemma":[0.9974438,0.00005249906,0.0007794193,0.000019084422,0.000007228717,0.000010872898,0.0015463331,0.000020648647,0.00012007041],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997147,0.00006724836,0.000023889124,0.0001212963,0.000029991976,0.00004294096],"domain_scores_gemma":[0.9987514,0.0006705216,0.00019720978,0.00017449204,0.0001044887,0.00010190191],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010797504,0.00040468958,0.00037793882,0.00045552512,0.00027770907,0.0009713406,0.0006322014,0.0009422289,0.0007825162],"category_scores_gemma":[0.003438403,0.00041887636,0.00075047236,0.0009648628,0.00034373952,0.00092508434,0.00046714232,0.00062511314,0.00011605317],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038752833,0.00014083723,0.22869763,0.000074633055,0.00042645234,0.0001459871,0.000117671436,0.7609057,0.00259036,0.0008667455,0.00096413994,0.0046822517],"study_design_scores_gemma":[0.00015349142,0.00008779321,0.16533573,0.00002557878,0.00012229482,0.000050379258,0.00008850803,0.8305765,0.0019434396,0.00057882984,0.00097059313,0.0000668302],"about_ca_topic_score_codex":0.035664238,"about_ca_topic_score_gemma":0.023914216,"teacher_disagreement_score":0.035664238,"about_ca_system_score_codex":0.0006918289,"about_ca_system_score_gemma":0.0005940984,"threshold_uncertainty_score":0.070913255},"labels":[],"label_agreement":null},{"id":"W2049680101","doi":"10.1007/s00382-011-1286-8","title":"Indian summer monsoon influence on the climate in the North Atlantic–European region","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"U.S. Department of Energy","keywords":"Climatology; Precipitation; Mediterranean climate; Monsoon; Environmental science; Climate model; Climate change; Atmospheric sciences; Geography; Geology; Oceanography; Meteorology","score_opus":0.02431618555050279,"score_gpt":0.23386261557355462,"score_spread":0.20954643002305182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2049680101","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956312,0.00024464473,0.0002487911,0.00032126397,0.000019088588,0.0000024402977,0.0002993776,0.000029916908,0.0032031378],"genre_scores_gemma":[0.99929655,0.00015553251,0.000048234506,0.000022732624,0.000011578488,0.0000015634105,0.00012485201,0.000008852071,0.00033012603],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975675,0.00008351781,0.000021218675,0.000045182835,0.00002046009,0.00007283413],"domain_scores_gemma":[0.99952686,0.00015853504,0.000079475336,0.00005183993,0.000082962666,0.0001003609],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070430967,0.00026289647,0.00037216445,0.00045984454,0.0005504041,0.0015328738,0.0006202293,0.0004881828,0.0017382553],"category_scores_gemma":[0.0013391019,0.00026797754,0.00089342135,0.0010760629,0.00045590723,0.0006964002,0.0010441894,0.00044225575,0.00020407565],"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":[0.0010470122,0.00019545208,0.70439845,0.00011523626,0.0008864526,0.00092576176,0.00086169515,0.25527573,0.007866654,0.008136001,0.002360222,0.017931286],"study_design_scores_gemma":[0.00005434293,0.000030296336,0.9119931,0.000021451464,0.00028200445,0.000105999854,0.0005633541,0.0829301,0.0005564015,0.0012742598,0.002142219,0.00004644621],"about_ca_topic_score_codex":0.12940863,"about_ca_topic_score_gemma":0.110645935,"teacher_disagreement_score":0.12940863,"about_ca_system_score_codex":0.0013469247,"about_ca_system_score_gemma":0.001053756,"threshold_uncertainty_score":0.25731075},"labels":[],"label_agreement":null},{"id":"W2050513572","doi":"10.1007/s00382-014-2128-2","title":"Scaling fluctuation analysis and statistical hypothesis testing of anthropogenic warming","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Climatology; Environmental science; Scaling; Global warming; GCM transcription factors; Range (aeronautics); Climate change; Atmospheric sciences; General Circulation Model; Physics; Mathematics; Geology","score_opus":0.02895769533826412,"score_gpt":0.2272841256590306,"score_spread":0.1983264303207665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2050513572","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":[0.2943702,0.0017514626,0.6982406,0.0017427817,0.00020294671,0.00006606503,0.00024044079,0.00039141398,0.002994054],"genre_scores_gemma":[0.97705334,0.00058241555,0.020676367,0.0001686436,0.00038440674,0.000114214046,0.00024735823,0.00006772181,0.0007055819],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98691607,0.009919988,0.00051026646,0.0013855203,0.0009138267,0.0003543566],"domain_scores_gemma":[0.73430955,0.248809,0.006597258,0.0062340656,0.0028682787,0.0011817515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024871431,0.0008076918,0.0017451347,0.0031356628,0.00092976494,0.0024321713,0.0015772976,0.0015000507,0.0029108413],"category_scores_gemma":[0.15781769,0.00059288536,0.001992248,0.0024858082,0.0052989535,0.0043581384,0.0016828553,0.0016838906,0.00015027623],"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":[0.00037881188,0.00018289204,0.047326624,0.0003588756,0.0011350807,0.00064556964,0.00079686654,0.26092505,0.0017637578,0.5930709,0.0031895326,0.09022602],"study_design_scores_gemma":[0.000021658283,0.000059059344,0.008523603,0.000024050434,0.000055263612,0.00006683276,0.00012133664,0.68413687,0.00026332051,0.30629903,0.00040340496,0.000025647201],"about_ca_topic_score_codex":0.002782269,"about_ca_topic_score_gemma":0.0011245586,"teacher_disagreement_score":0.024871431,"about_ca_system_score_codex":0.0010395488,"about_ca_system_score_gemma":0.0012424783,"threshold_uncertainty_score":0.13153422},"labels":[],"label_agreement":null},{"id":"W2052057389","doi":"10.1007/s00382-010-0938-4","title":"Predictable climate dynamics of abnormal East Asian winter monsoon: once-in-a-century snowstorms in 2007/2008 winter","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":111,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Siberian High; Subtropical ridge; Hindcast; Arctic oscillation; Bay; Arctic; Sea surface temperature; Geology; Winter storm; East Asia; Anticyclone; Environmental science; Oceanography; Storm; Precipitation; Geography; Meteorology; Northern Hemisphere","score_opus":0.006669613931584701,"score_gpt":0.2196138842836543,"score_spread":0.21294427035206961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2052057389","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982406,0.00004452179,0.00018683122,0.00027256366,0.000019324072,0.0000040944988,0.0006572566,0.000029572273,0.00054521026],"genre_scores_gemma":[0.999338,0.00003015565,0.00005789694,0.000017575652,0.000011985256,0.000003040212,0.00043187884,0.00000731174,0.000102146485],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999021,0.000013743231,0.00000864615,0.00003098281,0.000010370255,0.00003401852],"domain_scores_gemma":[0.9995415,0.00006967795,0.00014605439,0.00003675452,0.00009602782,0.00010993508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055267935,0.00032706722,0.0002516914,0.00044362954,0.0005116628,0.000817109,0.00042151482,0.00057284324,0.0014374357],"category_scores_gemma":[0.000930005,0.00029103356,0.00045089007,0.0005151255,0.00039704447,0.0007641179,0.00059435103,0.0006353726,0.00023455276],"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":[0.000572357,0.0001836759,0.94844854,0.000046843543,0.00021388396,0.00046286342,0.0007390353,0.029669488,0.0054584793,0.002881346,0.0049573844,0.0063661817],"study_design_scores_gemma":[0.000033656666,0.000057122612,0.9187199,0.00001497045,0.000072088995,0.00010473553,0.0006756997,0.077111,0.00077057525,0.0009972195,0.0014171953,0.00002585123],"about_ca_topic_score_codex":0.02541928,"about_ca_topic_score_gemma":0.045711562,"teacher_disagreement_score":0.02541928,"about_ca_system_score_codex":0.0011737138,"about_ca_system_score_gemma":0.000703572,"threshold_uncertainty_score":0.050542653},"labels":[],"label_agreement":null},{"id":"W2054014557","doi":"10.1007/s00382-003-0323-7","title":"Climate sensitivity and climate state","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Climate sensitivity; Climatology; Forcing (mathematics); Environmental science; Cloud feedback; Climate model; Albedo (alchemy); Positive feedback; Climate change; Radiative forcing; Northern Hemisphere; Solar constant; Negative feedback; Snow; Climate commitment; Climate state; Atmospheric sciences; Global warming; Meteorology; Geology; Effects of global warming; Geography; Physics","score_opus":0.009071324622002422,"score_gpt":0.22286266195932586,"score_spread":0.21379133733732344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054014557","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.48051226,0.009316664,0.045467827,0.019103032,0.00042550176,0.000042475876,0.0015726752,0.00022268582,0.44333687],"genre_scores_gemma":[0.9897029,0.001312341,0.00063692813,0.00021391446,0.00010132636,0.000008571761,0.00010721279,0.00002079876,0.007896067],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9997129,0.00015548473,0.000008940252,0.000045013076,0.000043485776,0.000034198452],"domain_scores_gemma":[0.99719256,0.001967669,0.00023773528,0.00026499495,0.00019887257,0.00013815048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006968178,0.00022343021,0.0002514717,0.00075679406,0.0004350475,0.0025484823,0.00020751021,0.0006815091,0.01213125],"category_scores_gemma":[0.006579117,0.00022602003,0.00024788574,0.0014544168,0.0013009661,0.0030231779,0.00085666316,0.0011418217,0.00050541275],"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":[0.000057348145,0.000054817672,0.014178765,0.000043722175,0.0000637881,0.00008010555,0.0007758442,0.018412702,0.0004185072,0.9426554,0.0031232592,0.020135712],"study_design_scores_gemma":[0.0000050186763,0.000017721728,0.023439504,0.000025569472,0.000027743701,0.000092037415,0.00054382684,0.014534449,0.00018841389,0.94460976,0.016497757,0.00001833348],"about_ca_topic_score_codex":0.0038026767,"about_ca_topic_score_gemma":0.002572709,"teacher_disagreement_score":0.01213125,"about_ca_system_score_codex":0.0010181895,"about_ca_system_score_gemma":0.00033812123,"threshold_uncertainty_score":0.040583074},"labels":[],"label_agreement":null},{"id":"W2055424790","doi":"10.1007/s00382-010-0747-9","title":"Decadal potential predictability of twenty-first century climate","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Predictability; Climatology; Environmental science; Climate change; Variance (accounting); Climate model; Component (thermodynamics); Scale (ratio); Measure (data warehouse); Econometrics; Meteorology; Computer science; Statistics; Mathematics; Geology; Geography; Economics; Physics; Data mining; Oceanography","score_opus":0.005051164237362736,"score_gpt":0.21472935166760979,"score_spread":0.20967818743024705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055424790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9770611,0.0012597102,0.0075621074,0.0027834421,0.00016513279,0.000003055886,0.0011491076,0.00017181756,0.009844424],"genre_scores_gemma":[0.99878865,0.00020421486,0.00019508164,0.0000313337,0.000024593588,0.000002108915,0.00019545111,0.000015609843,0.00054289255],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994874,0.000012969916,0.000003036534,0.000014634252,0.000009370638,0.0000113093365],"domain_scores_gemma":[0.9995478,0.00018825747,0.000068491114,0.000041390427,0.00008330787,0.00007072634],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005200645,0.0002355725,0.00017450823,0.0004537779,0.000408672,0.0012647387,0.0002734577,0.0004743094,0.0018843048],"category_scores_gemma":[0.0023924706,0.00017609616,0.00022335502,0.0005382536,0.0003759475,0.00100763,0.0005131916,0.0006937459,0.00023052606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036749383,0.00009291549,0.20178585,0.00013550038,0.00037342063,0.00048215027,0.000457631,0.6489846,0.004127526,0.08870489,0.010578767,0.043909203],"study_design_scores_gemma":[0.000038342074,0.00006300522,0.19532524,0.000053254586,0.00013129036,0.00022995024,0.0004346183,0.68169814,0.0014447832,0.10532103,0.015197223,0.000063158994],"about_ca_topic_score_codex":0.0050118584,"about_ca_topic_score_gemma":0.0055944994,"teacher_disagreement_score":0.0050118584,"about_ca_system_score_codex":0.00069664913,"about_ca_system_score_gemma":0.00041397603,"threshold_uncertainty_score":0.00996536},"labels":[],"label_agreement":null},{"id":"W2055747953","doi":"10.1007/s00382-014-2186-5","title":"Changes in large-scale controls of Atlantic tropical cyclone activity with the phases of the Atlantic multidecadal oscillation","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Atlantic multidecadal oscillation; North Atlantic oscillation; Climatology; Tropical cyclone; Tropical Atlantic; Storm; Environmental science; Precipitation; Atlantic hurricane; Tropical cyclogenesis; Cyclone (programming language); Atlantic Equatorial mode; Sea surface temperature; Climate change; Geology; Oceanography; Geography; Meteorology","score_opus":0.009382257561223403,"score_gpt":0.2298025082232512,"score_spread":0.2204202506620278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055747953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983859,0.00016307054,0.00015874176,0.00006476249,0.000012482696,0.000004576742,0.00023400402,0.0000059247946,0.0009704231],"genre_scores_gemma":[0.9995466,0.000040258925,0.000031979245,0.000016703061,0.000010106205,0.0000023962073,0.000107903405,0.0000026679822,0.00024124024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989045,0.000026344991,0.000009323126,0.000035724985,0.000011560361,0.000026665532],"domain_scores_gemma":[0.9992805,0.00022934128,0.00023199445,0.000066758796,0.00006602005,0.0001254055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027100006,0.00013808874,0.00012338033,0.00035133224,0.00019861759,0.00065303996,0.000121382516,0.00020813278,0.001863501],"category_scores_gemma":[0.001758577,0.00017493972,0.0001820478,0.00034115842,0.0002456602,0.00035044493,0.00044323938,0.00029638913,0.00016681764],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006881927,0.00013242019,0.9539461,0.000034221805,0.00027313875,0.00010955521,0.00032474828,0.0015667765,0.029733358,0.0005703971,0.00060777727,0.012013323],"study_design_scores_gemma":[0.0000044533485,0.000014594172,0.99917394,0.0000015327786,0.0000081635035,0.000014718008,0.000041600862,0.00037826347,0.00014365054,0.000047623627,0.00016921699,0.0000021523817],"about_ca_topic_score_codex":0.0042839223,"about_ca_topic_score_gemma":0.010569027,"teacher_disagreement_score":0.0042839223,"about_ca_system_score_codex":0.00021999869,"about_ca_system_score_gemma":0.00014995046,"threshold_uncertainty_score":0.008517981},"labels":[],"label_agreement":null},{"id":"W2055749520","doi":"10.1007/s00382-011-1184-0","title":"The contribution of anthropogenic forcings to regional changes in temperature during the last decade","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Ministry of Environment; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Climatology; General Circulation Model; GCM transcription factors; Environmental science; Climate change; Climate model; Downscaling; Global temperature; Mean radiant temperature; Range (aeronautics); Global warming; Geology","score_opus":0.013200149670593832,"score_gpt":0.23279479893043742,"score_spread":0.2195946492598436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055749520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98629606,0.0032451963,0.0024100111,0.0022456257,0.0002082047,0.0000059559466,0.0023062704,0.00006988765,0.0032127353],"genre_scores_gemma":[0.9970595,0.0016637335,0.00024075108,0.00005071045,0.000076351884,0.000003983022,0.000457796,0.000019472656,0.00042768347],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99977547,0.000066772496,0.000024604462,0.000050751158,0.000034692788,0.000047821795],"domain_scores_gemma":[0.9988702,0.00032555187,0.0002905471,0.00010446118,0.00032279638,0.00008641029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000957288,0.00039648448,0.00025845057,0.0004982378,0.0003936116,0.0011414037,0.00042455527,0.0005474235,0.00096394867],"category_scores_gemma":[0.0032700219,0.00024761786,0.0007099501,0.0013614817,0.0003816594,0.0006549007,0.0005725239,0.00070856145,0.00018626358],"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":[0.0005537769,0.00006536905,0.75661707,0.0003834522,0.0009108508,0.00041438692,0.00059943437,0.19035462,0.0043167016,0.007068006,0.003095614,0.035620704],"study_design_scores_gemma":[0.000032491203,0.000078137185,0.8800967,0.00010484357,0.0004037538,0.0003797891,0.00048608877,0.09718682,0.0019847662,0.0024215793,0.016764507,0.000060579885],"about_ca_topic_score_codex":0.031941976,"about_ca_topic_score_gemma":0.035163112,"teacher_disagreement_score":0.031941976,"about_ca_system_score_codex":0.001181606,"about_ca_system_score_gemma":0.00075819844,"threshold_uncertainty_score":0.06351209},"labels":[],"label_agreement":null},{"id":"W2055772433","doi":"10.1007/s00382-007-0252-y","title":"Simulation of canopy radiation transfer and surface albedo in the EALCO model","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Albedo (alchemy); Environmental science; Snow; Atmospheric sciences; Canopy; Interception; Sky; Climatology; Remote sensing; Meteorology; Geology; Geography; Ecology","score_opus":0.00750480694104679,"score_gpt":0.22551561975200562,"score_spread":0.21801081281095883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055772433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740104,0.00011349506,0.0064846543,0.0004341542,0.000050023693,0.000030808747,0.0015517131,0.00071785937,0.016606951],"genre_scores_gemma":[0.99463814,0.00004905208,0.0031615137,0.00006863175,0.000009346749,0.00003028722,0.00067515153,0.00010976823,0.0012580863],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998784,0.00003505614,0.000004820847,0.000025217645,0.000019115869,0.00003750974],"domain_scores_gemma":[0.9995208,0.00025489644,0.000041211988,0.000036631493,0.00006406138,0.00008242606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028662692,0.0005548566,0.0007096336,0.0003417134,0.0005216808,0.0007636884,0.001168409,0.0014125307,0.0034277171],"category_scores_gemma":[0.0011580151,0.00037936686,0.0005107993,0.00071117544,0.0006282973,0.0008177146,0.0005416648,0.00085296034,0.00024028131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008821758,0.000054552158,0.0019851532,0.000014304598,0.000013079003,0.000038734033,0.000026130643,0.99463826,0.0007187373,0.001006506,0.00037529357,0.0010410504],"study_design_scores_gemma":[0.000041917912,0.000008665003,0.00047302825,0.0000018902363,0.0000041805906,0.0000025759261,0.000011345745,0.9988939,0.00019940747,0.00017491133,0.00018354166,0.0000046625764],"about_ca_topic_score_codex":0.08120304,"about_ca_topic_score_gemma":0.042987313,"teacher_disagreement_score":0.08120304,"about_ca_system_score_codex":0.0013864856,"about_ca_system_score_gemma":0.0010333615,"threshold_uncertainty_score":0.16146076},"labels":[],"label_agreement":null},{"id":"W2056286563","doi":"10.1007/s00382-002-0273-5","title":"McGill paleoclimate model ice sheet sensitivity to ice flow rate and discharge parameters","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Ice sheet; Geology; Ice stream; Sea ice growth processes; Ice-sheet model; Sea ice thickness; Climatology; Sea ice; Antarctic ice sheet; Cryosphere; Paleoclimatology; Pressure ridge; Atmospheric sciences; Geomorphology; Oceanography; Climate change","score_opus":0.01971486297861622,"score_gpt":0.24250146309946105,"score_spread":0.22278660012084484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056286563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.74766666,0.0005845893,0.03751508,0.0028194839,0.00034008652,0.00020074629,0.11854212,0.0074698455,0.08486145],"genre_scores_gemma":[0.95715415,0.00014412926,0.012352531,0.00031969245,0.00002916831,0.000124989,0.018083649,0.00059615815,0.011195511],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984896,0.000030659878,0.00000605447,0.00004547145,0.000035346155,0.000033350403],"domain_scores_gemma":[0.99940515,0.00017174947,0.000046630037,0.00007271595,0.00022929837,0.000074420204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003757553,0.00042380497,0.0003956461,0.0004095175,0.00047901587,0.0006661704,0.002059598,0.0006233512,0.010843951],"category_scores_gemma":[0.0017222834,0.00049224874,0.00049030303,0.0006247867,0.0002213976,0.0006640865,0.00033766558,0.00061914284,0.0009315885],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052047503,0.00009109779,0.011285665,0.000065876615,0.0001204596,0.00004919492,0.00006415591,0.92194504,0.0031391804,0.0036751525,0.04357774,0.015466035],"study_design_scores_gemma":[0.00026129765,0.00003556453,0.011137244,0.000013296379,0.000059931277,0.0000128026095,0.000019426412,0.97404057,0.0025622074,0.0015407972,0.010264465,0.000052441606],"about_ca_topic_score_codex":0.71460897,"about_ca_topic_score_gemma":0.7750048,"teacher_disagreement_score":0.71460897,"about_ca_system_score_codex":0.0042908373,"about_ca_system_score_gemma":0.0036949185,"threshold_uncertainty_score":0.5741435},"labels":[],"label_agreement":null},{"id":"W2056933481","doi":"10.1007/s00382-014-2050-7","title":"Impact of climate sensitivity and polar amplification on projections of Greenland Ice Sheet loss","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Office of Science; Pennsylvania State University; Compute Canada; University of Victoria; Victoria University of Wellington; New Zealand Government; Western Canada Research Grid","keywords":"Deglaciation; Greenland ice sheet; Climatology; Ice sheet; Polar; Climate model; Environmental science; Climate change; Climate sensitivity; Cryosphere; Albedo (alchemy); Ice-albedo feedback; Climate state; Ice-sheet model; Atmospheric sciences; Sea ice; Geology; Glacial period; Global warming; Sea ice thickness; Oceanography; Ice stream; Effects of global warming; Geomorphology","score_opus":0.01411477843428145,"score_gpt":0.24703215683079954,"score_spread":0.2329173783965181,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056933481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937097,0.0002619689,0.0005795253,0.0010274374,0.000032204218,0.0000082146325,0.0017259521,0.000045739216,0.0026092893],"genre_scores_gemma":[0.99843174,0.00014858876,0.00017603047,0.000106690124,0.000011263194,0.0000047666995,0.00065555057,0.00001087599,0.00045438923],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994535,0.00027943615,0.000025271824,0.00007761957,0.00006149361,0.00010270709],"domain_scores_gemma":[0.9989176,0.00038372786,0.0001921285,0.00008656658,0.00026358708,0.0001564224],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019298154,0.0006466558,0.00031220034,0.00056853256,0.00050898595,0.001469063,0.0005410879,0.00083360996,0.0018559473],"category_scores_gemma":[0.0032373986,0.00034380422,0.0008270504,0.00067545363,0.0006231091,0.0010768494,0.0010116855,0.0006114379,0.00021665641],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017198259,0.00010870365,0.41531038,0.000104778715,0.0005180242,0.00057357334,0.0002296973,0.5593339,0.0037486274,0.005072577,0.002213602,0.011066325],"study_design_scores_gemma":[0.00023610881,0.00025471958,0.63181394,0.00010826035,0.00043230798,0.00021960965,0.00075967517,0.35084605,0.0044807307,0.00528611,0.0054467632,0.00011575695],"about_ca_topic_score_codex":0.18528333,"about_ca_topic_score_gemma":0.12913226,"teacher_disagreement_score":0.18528333,"about_ca_system_score_codex":0.0031798421,"about_ca_system_score_gemma":0.0020805697,"threshold_uncertainty_score":0.36840975},"labels":[],"label_agreement":null},{"id":"W2056985021","doi":"10.1007/s00382-013-1719-7","title":"Regional and global projections of twenty-first century glacier mass changes in response to climate scenarios from global climate models","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":479,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trent University; University of British Columbia","funders":"National Aeronautics and Space Administration","keywords":"Glacier; Climatology; Climate change; Precipitation; Global warming; Glacier mass balance; Global change; Climate model; Environmental science; Arctic; Glacier morphology; Representative Concentration Pathways; Physical geography; Cryosphere; Geology; Sea ice; Geography; Oceanography; Meteorology; Ice stream","score_opus":0.019353445550884953,"score_gpt":0.23316503140250364,"score_spread":0.2138115858516187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2056985021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9464513,0.0014094356,0.0054274183,0.0022619884,0.00027158062,0.000029461906,0.03705848,0.00056255533,0.0065277293],"genre_scores_gemma":[0.97558343,0.0010560271,0.0037808286,0.00012606745,0.000045134282,0.000052740306,0.017624035,0.0001009576,0.0016307217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998209,0.000050278166,0.000013520202,0.000049019465,0.000037155372,0.000029151211],"domain_scores_gemma":[0.99953187,0.000107206484,0.00008474174,0.00003687058,0.00016046016,0.000078880184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009116942,0.0009632711,0.00039415943,0.000897318,0.00032741256,0.00076432986,0.0005749919,0.00086247677,0.0026718776],"category_scores_gemma":[0.0017928077,0.00042239935,0.0010322414,0.0014025037,0.00030458425,0.001057369,0.00048945803,0.00081177073,0.00074639276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009877481,0.00009996664,0.058122918,0.0003380925,0.0008244386,0.0003380828,0.0002629376,0.8999707,0.0036373527,0.0041346564,0.015177463,0.016105657],"study_design_scores_gemma":[0.00083226,0.00046118227,0.25124454,0.00019338596,0.001163091,0.0004608725,0.0010808578,0.68888897,0.0061052195,0.012881319,0.03638664,0.0003015961],"about_ca_topic_score_codex":0.04021491,"about_ca_topic_score_gemma":0.044658784,"teacher_disagreement_score":0.04021491,"about_ca_system_score_codex":0.00145758,"about_ca_system_score_gemma":0.0012574807,"threshold_uncertainty_score":0.07996166},"labels":[],"label_agreement":null},{"id":"W2057833891","doi":"10.1007/s00382-014-2185-6","title":"On the Arctic near-surface permafrost and climate sensitivities to soil and snow model formulations in climate models","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Snow; Environmental science; Soil water; Climate model; Arctic; Climatology; Soil science; Atmospheric sciences; Climate change; Geology; Geomorphology","score_opus":0.025932926343763766,"score_gpt":0.2291893433504538,"score_spread":0.20325641700669003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057833891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882116,0.000570766,0.0043870774,0.00020013964,0.000048207112,0.00004849767,0.0011519212,0.00022740016,0.0051543373],"genre_scores_gemma":[0.9962136,0.0002009888,0.0021993234,0.000062180115,0.000009701038,0.0000151813665,0.00069857464,0.000056258206,0.0005440768],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999548,0.00014482092,0.000021522732,0.00009499762,0.00010089142,0.00008962854],"domain_scores_gemma":[0.999308,0.00030662597,0.00006721279,0.000060063972,0.00019882461,0.000059309088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001120294,0.0008689781,0.00045391725,0.0003558962,0.00069915026,0.0010013116,0.00096806453,0.00059366314,0.0008398083],"category_scores_gemma":[0.0022083898,0.00037365846,0.0007234873,0.0004919408,0.0004089762,0.00044242025,0.0005840437,0.00056312064,0.00012817259],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015679449,0.00004275642,0.020039894,0.000054555912,0.00015198984,0.000051730138,0.000060417377,0.9702401,0.004074686,0.0006179734,0.00035101647,0.004158091],"study_design_scores_gemma":[0.00006105741,0.00010528006,0.028305382,0.000028284256,0.00008904235,0.00002801799,0.000082046165,0.96544945,0.003813617,0.0002997008,0.001692199,0.000045993187],"about_ca_topic_score_codex":0.52638984,"about_ca_topic_score_gemma":0.47270468,"teacher_disagreement_score":0.52638984,"about_ca_system_score_codex":0.0030103861,"about_ca_system_score_gemma":0.0028305585,"threshold_uncertainty_score":0.9527987},"labels":[],"label_agreement":null},{"id":"W2057897737","doi":"10.1007/s00382-014-2387-y","title":"Projected increases in near-surface air temperature over Ontario, Canada: a regional climate modeling approach","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Met Office","keywords":"HadCM3; Climatology; Environmental science; Climate model; Surface air temperature; Context (archaeology); Global warming; Heat wave; Climate change; Atmospheric model; Downscaling; Mean radiant temperature; Meteorology; General Circulation Model; Geography; GCM transcription factors; Geology","score_opus":0.010537935932458425,"score_gpt":0.20178168392927623,"score_spread":0.19124374799681781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2057897737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9537459,0.0009540214,0.0053663044,0.0026068215,0.000072902694,0.0000858374,0.018357618,0.00024244902,0.018568108],"genre_scores_gemma":[0.99093455,0.0005891809,0.0025491784,0.00010611867,0.0000095054465,0.000034379478,0.002664444,0.000024054181,0.0030886123],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978405,0.000038588612,0.000010179158,0.00004665132,0.000053099382,0.000067455236],"domain_scores_gemma":[0.9996574,0.00002761815,0.000028121112,0.00000944829,0.00021636458,0.00006103769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048483195,0.0004805745,0.00029052846,0.00045634984,0.0012242612,0.0009711249,0.0009921659,0.00062987895,0.0020488824],"category_scores_gemma":[0.000780582,0.00032066612,0.0007962233,0.0012423452,0.00031169533,0.0005253559,0.00034575732,0.0005378979,0.00023467804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017356304,0.00007863093,0.09751861,0.00019383032,0.00028986894,0.0003075516,0.00046649555,0.8731496,0.0021677606,0.003125932,0.008609581,0.013918678],"study_design_scores_gemma":[0.00015169194,0.00008155182,0.21254838,0.00009330732,0.00037547736,0.0000917001,0.0015881216,0.7611333,0.0014408131,0.0017399739,0.020630863,0.00012485053],"about_ca_topic_score_codex":0.9899058,"about_ca_topic_score_gemma":0.9924859,"teacher_disagreement_score":0.025490364,"about_ca_system_score_codex":0.025490364,"about_ca_system_score_gemma":0.021811428,"threshold_uncertainty_score":0.18494642},"labels":[],"label_agreement":null},{"id":"W2058256848","doi":"10.1007/s00382-015-2529-x","title":"An RCM multi-physics ensemble over Europe: multi-variable evaluation to avoid error compensation","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Cloud cover; Variable (mathematics); Climate model; Weighting; Albedo (alchemy); Environmental science; Precipitation; Errors-in-variables models; Meteorology; Computer science; Mathematics; Cloud computing; Statistics; Climate change; Physics","score_opus":0.08539265794699907,"score_gpt":0.33339138633819143,"score_spread":0.24799872839119236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058256848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9473245,0.0004581258,0.043960445,0.00046584447,0.00023456612,0.000103505045,0.0020851912,0.00097522675,0.0043925587],"genre_scores_gemma":[0.9767928,0.00006261664,0.02115333,0.00007890161,0.00004003102,0.00005083526,0.0012655539,0.00014554986,0.00041033892],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943477,0.00024319647,0.00004244159,0.000103428996,0.000101671,0.00007457573],"domain_scores_gemma":[0.99807274,0.0007194529,0.00011706803,0.00035124848,0.0006006704,0.00013869531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030988688,0.0009340148,0.0010295612,0.00063938,0.0008254762,0.0010005316,0.0012676121,0.0021200487,0.0013123712],"category_scores_gemma":[0.006378848,0.0005806681,0.0009774868,0.0008967377,0.0003817824,0.0014142556,0.0007204294,0.0010339781,0.00021554745],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002023912,0.00010048314,0.0059647267,0.000043271448,0.00017753003,0.00006671276,0.00003486864,0.98048156,0.0014362481,0.0005500102,0.00083423214,0.010107995],"study_design_scores_gemma":[0.000057031164,0.000028602588,0.0028615126,0.0000074852214,0.000042036507,0.000007746366,0.000013886064,0.9956749,0.00083366345,0.00017186365,0.00028824434,0.000013070502],"about_ca_topic_score_codex":0.04944509,"about_ca_topic_score_gemma":0.036833484,"teacher_disagreement_score":0.04944509,"about_ca_system_score_codex":0.0008655913,"about_ca_system_score_gemma":0.0016054529,"threshold_uncertainty_score":0.09831458},"labels":[],"label_agreement":null},{"id":"W2059977175","doi":"10.1007/s00382-015-2488-2","title":"On the effect of boundary conditions on the Canadian Regional Climate Model: use of process tendencies","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Compute Canada; Université du Québec à Montréal","keywords":"Climate model; Forcing (mathematics); Climatology; Environmental science; Climate change; Boundary value problem; Meteorology; Atmospheric sciences; Geology; Mathematics; Physics","score_opus":0.0437646498815409,"score_gpt":0.2687899125968678,"score_spread":0.2250252627153269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059977175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96396893,0.0008299401,0.015083482,0.0021915382,0.0001730109,0.000074509204,0.0013086504,0.0005006551,0.015869137],"genre_scores_gemma":[0.9919367,0.00029164925,0.0062743607,0.00017756858,0.000025072477,0.000016147735,0.00038133285,0.00018438205,0.0007127507],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99909985,0.00044475906,0.000049048856,0.00014162243,0.00013880097,0.0001259903],"domain_scores_gemma":[0.9862729,0.010578383,0.00034413268,0.00059928815,0.0017523698,0.00045285653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0044385814,0.00082484755,0.00065925135,0.0006987106,0.0027147427,0.0022492337,0.00212811,0.0016562303,0.0020609119],"category_scores_gemma":[0.027403152,0.000619507,0.0008528677,0.0010791755,0.0014058789,0.0022301164,0.001275537,0.0026557357,0.00014293185],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004127876,0.000112757014,0.022322156,0.0000931558,0.00015535898,0.00007596596,0.0002278632,0.9547779,0.0012598506,0.007074657,0.0026500581,0.010837436],"study_design_scores_gemma":[0.000089349516,0.0000276982,0.0060879323,0.000025449071,0.00012222219,0.000006670213,0.00007489256,0.9905194,0.0010147303,0.0013459868,0.00064630696,0.00003942163],"about_ca_topic_score_codex":0.90910155,"about_ca_topic_score_gemma":0.88128275,"teacher_disagreement_score":0.90910155,"about_ca_system_score_codex":0.0069906455,"about_ca_system_score_gemma":0.009846294,"threshold_uncertainty_score":0.18286753},"labels":[],"label_agreement":null},{"id":"W2062492328","doi":"10.1007/s00382-007-0277-2","title":"Influence of similarity measures on the performance of the analog method for downscaling daily precipitation","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Downscaling; Mahalanobis distance; Precipitation; Similarity (geometry); Climatology; Euclidean distance; Norm (philosophy); Scale (ratio); Environmental science; Terrain; Meteorology; Computer science; Mathematics; Statistics; Geography; Geology; Artificial intelligence; Cartography","score_opus":0.02062661000839847,"score_gpt":0.27858728773508057,"score_spread":0.2579606777266821,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2062492328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92279136,0.0014414096,0.07269016,0.00025242206,0.0001639118,0.00003436145,0.0001663697,0.0006161368,0.0018439278],"genre_scores_gemma":[0.97658175,0.000169154,0.022358099,0.000051321913,0.00006131222,0.000013884887,0.00030184453,0.00016906965,0.00029346033],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9953166,0.0025082112,0.0004617825,0.000626612,0.0008369379,0.00024981337],"domain_scores_gemma":[0.90558344,0.08102443,0.0024048237,0.00498235,0.0049082735,0.0010967668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.012269599,0.00067624135,0.0009490471,0.0012275242,0.00066934346,0.0016674958,0.0007307401,0.001411328,0.0010566717],"category_scores_gemma":[0.09674679,0.00032486732,0.0004727201,0.0014204794,0.0009006316,0.0022903439,0.0012593169,0.0008646531,0.00025125072],"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":[0.009396117,0.0008241095,0.0551386,0.0005630093,0.00079458015,0.00031098464,0.00052019913,0.41982123,0.056293525,0.005778894,0.0023230913,0.44823563],"study_design_scores_gemma":[0.00018805737,0.0009470635,0.023953877,0.000038583166,0.00016587792,0.00033700324,0.00015971108,0.93530864,0.035467792,0.0026609024,0.0006932011,0.00007930377],"about_ca_topic_score_codex":0.0035174985,"about_ca_topic_score_gemma":0.0026655002,"teacher_disagreement_score":0.012269599,"about_ca_system_score_codex":0.0004384853,"about_ca_system_score_gemma":0.0008811908,"threshold_uncertainty_score":0.064888656},"labels":[],"label_agreement":null},{"id":"W2063285895","doi":"10.1007/s00382-012-1595-6","title":"Intraseasonal variability of sea level and circulation in the Gulf of Thailand: the role of the Madden–Julian Oscillation","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Dalhousie University","keywords":"Madden–Julian oscillation; Climatology; Tide gauge; Predictability; Monsoon; Ocean current; Barotropic fluid; Forcing (mathematics); Environmental science; Sea surface temperature; Sea-surface height; Geology; Sea level; Oceanography; Meteorology; Geography","score_opus":0.01011170250698164,"score_gpt":0.19956967663854025,"score_spread":0.1894579741315586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063285895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990877,0.00012769752,0.000053216663,0.000098302226,0.000006174091,9.971827e-7,0.000121911195,0.0000042509123,0.00049969647],"genre_scores_gemma":[0.9996475,0.00008937677,0.000027423242,0.000008595153,0.000006218288,9.0310346e-7,0.000104980565,0.0000020552177,0.000112930575],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999012,0.00002291844,0.0000133622425,0.00002349978,0.00001414981,0.000024854351],"domain_scores_gemma":[0.9994568,0.00014465104,0.00015423949,0.000025655345,0.00009267507,0.00012582995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031855487,0.00016705641,0.00013253394,0.00057447975,0.00039668087,0.0010410998,0.000189147,0.00024162572,0.00089394127],"category_scores_gemma":[0.0010041093,0.00017682319,0.00020433303,0.0011967683,0.0004312885,0.00058836595,0.00072545774,0.00038756535,0.00012614661],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002007047,0.000029986433,0.9858436,0.00003393552,0.0001363143,0.00039928107,0.0011737375,0.0014008748,0.0022224642,0.00036097263,0.00040936415,0.007788867],"study_design_scores_gemma":[0.000007432335,0.00001543387,0.9951054,0.000011410444,0.00003633151,0.00009614932,0.0010058293,0.0030385312,0.00010810669,0.00008989872,0.00047611876,0.000009320245],"about_ca_topic_score_codex":0.045112696,"about_ca_topic_score_gemma":0.04774414,"teacher_disagreement_score":0.045112696,"about_ca_system_score_codex":0.00047334936,"about_ca_system_score_gemma":0.00053402846,"threshold_uncertainty_score":0.08970022},"labels":[],"label_agreement":null},{"id":"W2063803602","doi":"10.1007/s00382-004-0417-x","title":"Multicentury reconstruction of the Canadian Drought Code from eastern Canada and its relationship with paleoclimatic indices of atmospheric circulation","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; University of Winnipeg; University of Manitoba; Université du Québec à Montréal","funders":"","keywords":"Climatology; Pacific decadal oscillation; North Atlantic oscillation; Forcing (mathematics); Subtropical ridge; Arctic; Environmental science; Geology; Arctic oscillation; Siberian High; Precipitation; Sea surface temperature; Oceanography; Geography; East Asia; Northern Hemisphere; China","score_opus":0.010027995180872733,"score_gpt":0.18705142586422488,"score_spread":0.17702343068335213,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063803602","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9660005,0.0006412531,0.0010403796,0.0008220781,0.0000320833,0.00001633772,0.02652242,0.000117067546,0.004807832],"genre_scores_gemma":[0.98344594,0.0002497507,0.0012917642,0.00007035223,0.000010449548,0.000011926193,0.01256736,0.000030242134,0.0023222263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969614,0.000020176194,0.000014509073,0.000076558754,0.000076508615,0.00011608371],"domain_scores_gemma":[0.99753964,0.00016581551,0.00024823105,0.00009423587,0.0016830702,0.0002691123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054734835,0.00024928054,0.00021777126,0.0027391163,0.0014497236,0.001010207,0.0007624043,0.00047476016,0.0024323945],"category_scores_gemma":[0.0027852552,0.00028316892,0.00027841958,0.006638883,0.00039554766,0.0003319745,0.00076280837,0.00057927176,0.0003506294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002450028,0.000050774303,0.91191864,0.000075339136,0.00026033074,0.00022243813,0.0009921005,0.023305152,0.0028411269,0.0039405157,0.01740627,0.03874229],"study_design_scores_gemma":[0.00000649694,0.0000032739028,0.98181146,0.000019789706,0.000025451616,0.00004067921,0.00037889575,0.008716893,0.0002384397,0.00011514937,0.008617532,0.000026076561],"about_ca_topic_score_codex":0.9934587,"about_ca_topic_score_gemma":0.9962239,"teacher_disagreement_score":0.0133315,"about_ca_system_score_codex":0.0133315,"about_ca_system_score_gemma":0.015747143,"threshold_uncertainty_score":0.09672725},"labels":[],"label_agreement":null},{"id":"W2064817469","doi":"10.1007/s003820100174","title":"ENSIP: the El Niño simulation intercomparison project","year":2001,"lang":"es","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":283,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Sea surface temperature; Environmental science; Monsoon; Annual cycle; Atmosphere (unit); El Niño Southern Oscillation; Atmospheric model; Western Hemisphere Warm Pool; Coupled model intercomparison project; Flux (metallurgy); Climate model; Atmospheric sciences; Tropics; Geology; Oceanography; Meteorology; Climate change; Geography","score_opus":0.03255511267364847,"score_gpt":0.31571035194160557,"score_spread":0.2831552392679571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064817469","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.13883153,0.004093355,0.12542093,0.03264846,0.014403727,0.0007336421,0.5103822,0.043187246,0.13029899],"genre_scores_gemma":[0.42171627,0.0031807744,0.10696486,0.002362624,0.0022832968,0.0009799725,0.41117027,0.008776994,0.04256504],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99928623,0.00022464582,0.00005347273,0.000116128555,0.00024015582,0.000079343685],"domain_scores_gemma":[0.9983437,0.00024808192,0.00016061566,0.00028725748,0.0005771512,0.0003830229],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002328889,0.0010850152,0.00061979704,0.0007501978,0.0008120455,0.0017166663,0.0009019975,0.00072916516,0.009429789],"category_scores_gemma":[0.0035495176,0.00028827533,0.00028276694,0.0017740806,0.000455141,0.0022687735,0.0015624863,0.0015077061,0.0031609372],"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":[0.00111381,0.0002906837,0.009534234,0.0001685815,0.00018270523,0.00011966947,0.00024518452,0.038508233,0.0029568146,0.016530156,0.76367044,0.16667949],"study_design_scores_gemma":[0.0012653077,0.00010082902,0.029334463,0.00010384867,0.00017088442,0.00006739175,0.00027502558,0.118441604,0.009542422,0.03135815,0.8092227,0.0001174608],"about_ca_topic_score_codex":0.020469194,"about_ca_topic_score_gemma":0.013914922,"teacher_disagreement_score":0.020469194,"about_ca_system_score_codex":0.00086841243,"about_ca_system_score_gemma":0.0023307807,"threshold_uncertainty_score":0.040700078},"labels":[],"label_agreement":null},{"id":"W2064903870","doi":"10.1007/s00382-012-1654-z","title":"An analysis on the physical process of the influence of AO on ENSO","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":202,"is_retracted":false,"has_abstract":false,"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 Key Research and Development Program of China; National Natural Science Foundation of China; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research","keywords":"Climatology; Sea surface temperature; Environmental science; Atmospheric circulation; Walker circulation; Downwelling; Westerlies; Atmospheric sciences; Kelvin wave; Geology; Oceanography; Upwelling","score_opus":0.0072434094313413395,"score_gpt":0.24736825224829978,"score_spread":0.24012484281695845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2064903870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9312353,0.0007200561,0.049210533,0.0012904874,0.00009591258,0.000043769865,0.00033958917,0.00014100375,0.016923169],"genre_scores_gemma":[0.9969681,0.00029541127,0.0010193016,0.000027822643,0.00004963244,0.000008237686,0.00006488842,0.000031593583,0.0015349276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998901,0.00003694283,0.0000051216552,0.000022993912,0.000023129127,0.00002175345],"domain_scores_gemma":[0.99844605,0.0011982584,0.00009920439,0.000061874656,0.000115385374,0.000079371384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078128045,0.000331188,0.0003861801,0.00047093455,0.00048975763,0.00077945035,0.0005390394,0.000517358,0.003502831],"category_scores_gemma":[0.003757241,0.0003212457,0.0009343445,0.0004498357,0.0004255145,0.0010268746,0.0005917258,0.00075600366,0.00015291553],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024617458,0.00015461612,0.021526735,0.000109774955,0.00019953836,0.00040154028,0.0002122279,0.8770481,0.010459986,0.07533427,0.0011549046,0.01315212],"study_design_scores_gemma":[0.000017506556,0.000027050553,0.01484549,0.0000053272147,0.00004581264,0.000029589359,0.00003674499,0.97532254,0.0005206352,0.008473327,0.00066353235,0.000012466446],"about_ca_topic_score_codex":0.014636748,"about_ca_topic_score_gemma":0.0075729964,"teacher_disagreement_score":0.014636748,"about_ca_system_score_codex":0.0006281216,"about_ca_system_score_gemma":0.00067350076,"threshold_uncertainty_score":0.0291031},"labels":[],"label_agreement":null},{"id":"W2069400624","doi":"10.1007/s00382-015-2576-3","title":"Predictability of the Madden–Julian Oscillation index: seasonality and dependence on MJO phase","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Division of Ocean Sciences","keywords":"Madden–Julian oscillation; Predictability; Autoregressive model; Climatology; Mathematics; Meteorology; Physics; Statistics; Geology","score_opus":0.02573521754319674,"score_gpt":0.27220778997044703,"score_spread":0.2464725724272503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069400624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963446,0.00022025262,0.0017518037,0.00021700114,0.000025290225,0.0000036559989,0.0003866317,0.000047228717,0.0010034777],"genre_scores_gemma":[0.9993405,0.000060121398,0.00016889143,0.000008267257,0.000016668018,0.0000014840919,0.00026755084,0.000012406374,0.00012406793],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999269,0.000015239741,0.0000052404603,0.000025565443,0.000010898552,0.000016130012],"domain_scores_gemma":[0.99917835,0.00039041028,0.00019400836,0.00008112113,0.00007380009,0.000082236096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005056281,0.00024993307,0.00021498385,0.00036773656,0.00023561945,0.00069629104,0.00025476827,0.00032737793,0.00090770406],"category_scores_gemma":[0.0031638069,0.00022954412,0.00038850994,0.00045714705,0.00026368545,0.00054434635,0.00041637855,0.0005157654,0.00013598446],"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":[0.00056245597,0.00011915644,0.7384269,0.00007307982,0.00042463833,0.00019105899,0.00028149845,0.21086991,0.018136999,0.0060478104,0.0033516507,0.02151478],"study_design_scores_gemma":[0.00002459339,0.00003725154,0.555541,0.000009218019,0.000053551536,0.00006286745,0.0000440266,0.43983972,0.0011525106,0.0024630122,0.0007472754,0.000024945515],"about_ca_topic_score_codex":0.0063038897,"about_ca_topic_score_gemma":0.004123626,"teacher_disagreement_score":0.0063038897,"about_ca_system_score_codex":0.00026457262,"about_ca_system_score_gemma":0.00026151576,"threshold_uncertainty_score":0.01253438},"labels":[],"label_agreement":null},{"id":"W2072960611","doi":"10.1007/s00382-011-1265-0","title":"Basis of a formal language for facilitating communication among climate modelers","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"","keywords":"Computer science; A priori and a posteriori; Relevance (law); Set (abstract data type); Dominance (genetics); Relation (database); Formal language; Climate model; Management science; Climate change; Epistemology; Ecology; Algorithm; Data mining; Programming language","score_opus":0.32416316312554566,"score_gpt":0.4165872889172653,"score_spread":0.09242412579171966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072960611","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":[0.0036550344,0.000021809392,0.9887058,0.0007763485,0.000085072425,0.0001700544,0.00018889122,0.0024708274,0.003926127],"genre_scores_gemma":[0.19284204,0.000077507146,0.79906976,0.00036812626,0.00017185761,0.0011222812,0.0007040324,0.0013135095,0.004330937],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9915582,0.0039262814,0.001146253,0.0010208274,0.0016293994,0.0007191075],"domain_scores_gemma":[0.97553366,0.013520763,0.0012411344,0.004883213,0.0041571506,0.0006640375],"candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.009608604,0.0010700929,0.00093697483,0.0015299692,0.0031420803,0.0067558214,0.00432109,0.0029267862,0.0152649125],"category_scores_gemma":[0.027333772,0.0016160181,0.0024438228,0.0012529602,0.0067540235,0.011099573,0.006593481,0.0053929477,0.0044745826],"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":[0.00007584156,0.00008570861,0.00039770134,0.000165173,0.000020949425,0.00017505376,0.0024600958,0.003923963,0.0031059652,0.9699157,0.0030967135,0.016577229],"study_design_scores_gemma":[0.00018440578,0.00015906282,0.00026908607,0.00024169442,0.00015236835,0.00031272066,0.00120953,0.14795025,0.017209137,0.7550504,0.07713693,0.00012446252],"about_ca_topic_score_codex":0.003161056,"about_ca_topic_score_gemma":0.0023801134,"teacher_disagreement_score":0.9932442,"about_ca_system_score_codex":0.001765514,"about_ca_system_score_gemma":0.0042579616,"threshold_uncertainty_score":0.05106616},"labels":[],"label_agreement":null},{"id":"W2073269588","doi":"10.1007/s00382-002-0230-3","title":"Hybrid coupled models of the tropical Pacific: I interannual variability","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climatology; Forcing (mathematics); Oscillation (cell signaling); El Niño Southern Oscillation; Coupling (piping); Nonlinear system; Phase locking; Phase (matter); Environmental science; Atmospheric sciences; Geology; Physics; Materials science; Biology","score_opus":0.01490923188593573,"score_gpt":0.21126561219502996,"score_spread":0.19635638030909422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073269588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.75538284,0.0013534228,0.21406384,0.001384968,0.00029549294,0.00004930317,0.0022998368,0.00084160967,0.024328718],"genre_scores_gemma":[0.9901197,0.00027470003,0.0051508886,0.000058248323,0.000057512036,0.000043243028,0.00030458995,0.000060457412,0.0039306935],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987507,0.00004744378,0.000007431392,0.000032565556,0.000016728894,0.000020772244],"domain_scores_gemma":[0.999696,0.00012624824,0.000053884458,0.000037178695,0.00004987786,0.000036766443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032984128,0.00044995538,0.00046472752,0.00029816106,0.0003730059,0.0014456993,0.0011688732,0.0007969547,0.0019997614],"category_scores_gemma":[0.0011493033,0.0004355365,0.0005143061,0.00064300286,0.00067498384,0.0015053407,0.00096861104,0.0007537488,0.00018936228],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041732023,0.000020196634,0.0014690099,0.00001158726,0.00006989259,0.000022903687,0.000028011436,0.98976934,0.0003249546,0.005135871,0.0003784118,0.0027281062],"study_design_scores_gemma":[0.000012409265,0.00000572748,0.0004459473,0.0000012390313,0.000013667008,0.0000040750715,0.000007507745,0.9962463,0.00005391562,0.0029667215,0.00023773583,0.0000046563378],"about_ca_topic_score_codex":0.026788874,"about_ca_topic_score_gemma":0.016392281,"teacher_disagreement_score":0.026788874,"about_ca_system_score_codex":0.0007390372,"about_ca_system_score_gemma":0.0005896301,"threshold_uncertainty_score":0.05326587},"labels":[],"label_agreement":null},{"id":"W2073601681","doi":"10.1007/s00382-011-1107-0","title":"Trends and low-frequency variability of storminess over western Europe, 1878–2007","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Peninsula; Climatology; Geostrophic wind; North Atlantic oscillation; Period (music); Oceanography; Geography; Geology","score_opus":0.01722281772413796,"score_gpt":0.23360199488433184,"score_spread":0.2163791771601939,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073601681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99700457,0.00028321732,0.00016916535,0.00007958642,0.000009987959,0.0000013682335,0.001959036,0.000012717066,0.00048037924],"genre_scores_gemma":[0.9952485,0.00021836002,0.00013882203,0.000022867516,0.00001850805,0.0000049778696,0.0034378974,0.000007179886,0.00090292527],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998888,0.000010314135,0.000018631654,0.000043270098,0.000014295906,0.000024714212],"domain_scores_gemma":[0.9994536,0.000074143776,0.00025232442,0.00003531284,0.00014916941,0.000035404566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039027503,0.00018783736,0.00019827568,0.0007235393,0.00022756372,0.00065733254,0.0002736019,0.00031875868,0.0009920406],"category_scores_gemma":[0.0007547908,0.00014255985,0.0003048684,0.0013104411,0.00026621326,0.00047865303,0.0003585954,0.0002567182,0.00026074817],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023137499,0.000030309702,0.98329794,0.00008806275,0.00033084454,0.00012773841,0.0008226619,0.003513795,0.0012741655,0.00028649496,0.0017765473,0.008220193],"study_design_scores_gemma":[0.0000031672444,0.000009175097,0.9975051,0.0000073047777,0.000033161698,0.00003228643,0.00009192759,0.00079394353,0.00010304351,0.000028758677,0.0013891782,0.0000030427445],"about_ca_topic_score_codex":0.045882817,"about_ca_topic_score_gemma":0.080880985,"teacher_disagreement_score":0.045882817,"about_ca_system_score_codex":0.0006342249,"about_ca_system_score_gemma":0.00032632623,"threshold_uncertainty_score":0.091231525},"labels":[],"label_agreement":null},{"id":"W2073837758","doi":"10.1007/s00382-011-1008-2","title":"Sensitivity to domain size of mid-latitude summer simulations with a regional climate model","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Inflow; Eddy; Climatology; Scale (ratio); Environmental science; Climate model; Transient (computer programming); Flow (mathematics); Precipitation; Latitude; Domain (mathematical analysis); Climate change; Atmospheric sciences; Meteorology; Geology; Geography; Physics; Mechanics; Turbulence; Mathematics; Computer science; Geodesy","score_opus":0.034276293870472756,"score_gpt":0.25237331497134796,"score_spread":0.2180970211008752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2073837758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99407613,0.00018134425,0.0018249737,0.00062627427,0.000069276946,0.000012048748,0.00066730194,0.00024529206,0.0022972724],"genre_scores_gemma":[0.9986192,0.000051235696,0.00052207854,0.00008249129,0.000009436318,0.0000072487846,0.0005226766,0.000056273606,0.00012936912],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993954,0.0002830897,0.00003930962,0.0001223867,0.000048961097,0.00011089686],"domain_scores_gemma":[0.9883333,0.009033553,0.00048728695,0.00077332725,0.0006787783,0.0006938179],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023823243,0.0006567167,0.0008482731,0.00048364064,0.0008835505,0.0013993197,0.00085820607,0.001698538,0.0019076039],"category_scores_gemma":[0.0136012845,0.0007126779,0.00083143753,0.00054472446,0.00093229883,0.0014783372,0.0008916423,0.0015448137,0.00021793805],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007280825,0.00017824657,0.017901463,0.00004766735,0.00012863988,0.000103762475,0.00008366032,0.97179204,0.00514804,0.00091093674,0.0010016712,0.0019756758],"study_design_scores_gemma":[0.00012538882,0.00012328906,0.011415563,0.000019352958,0.000050502043,0.000028317867,0.000101049896,0.9842202,0.0028756473,0.0006653234,0.00034502798,0.000030294996],"about_ca_topic_score_codex":0.035489727,"about_ca_topic_score_gemma":0.017339943,"teacher_disagreement_score":0.035489727,"about_ca_system_score_codex":0.0012073508,"about_ca_system_score_gemma":0.0010002123,"threshold_uncertainty_score":0.070566356},"labels":[],"label_agreement":null},{"id":"W2074043800","doi":"10.1007/pl00013736","title":"CMIP1 evaluation and intercomparison of coupled climate models","year":2001,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":365,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Coupled model intercomparison project; Climate model; Climatology; Environmental science; Flux (metallurgy); Climate change; Atmospheric sciences; Meteorology; Geology; Geography","score_opus":0.03197271388560535,"score_gpt":0.28459064957580243,"score_spread":0.2526179356901971,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074043800","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584552,0.00092386914,0.0174038,0.0018263692,0.00042803586,0.0003693403,0.0074809752,0.00209767,0.011014773],"genre_scores_gemma":[0.9636181,0.00031667188,0.024758628,0.00019905843,0.00010150866,0.00022434977,0.008535863,0.0005991868,0.0016466092],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9937304,0.0036376556,0.00041726354,0.0007501438,0.0011135589,0.00035106816],"domain_scores_gemma":[0.9856865,0.006117202,0.00090087036,0.0021689236,0.004407898,0.00071863015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.021718068,0.0017590633,0.0008344078,0.0012630901,0.001222868,0.0021886453,0.0024688963,0.0017231781,0.0018286427],"category_scores_gemma":[0.03317518,0.0006760848,0.0008279561,0.0016276598,0.0006837855,0.0030326436,0.0018493314,0.0011222695,0.0004392436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031489623,0.001217987,0.04136942,0.0004222293,0.0008933635,0.00026428155,0.0007932796,0.80804986,0.008687564,0.0059058643,0.014500963,0.11474633],"study_design_scores_gemma":[0.0011260771,0.0006936355,0.03626711,0.0000935427,0.0005228979,0.00005488435,0.00045817488,0.93447495,0.014525753,0.002517346,0.00914971,0.00011592299],"about_ca_topic_score_codex":0.044572663,"about_ca_topic_score_gemma":0.037403304,"teacher_disagreement_score":0.044572663,"about_ca_system_score_codex":0.0037377153,"about_ca_system_score_gemma":0.0034860987,"threshold_uncertainty_score":0.114857495},"labels":[],"label_agreement":null},{"id":"W2074055554","doi":"10.1007/s00382-002-0231-2","title":"Hybrid coupled models of the tropical Pacific - II ENSO prediction","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Institutes of Natural Sciences","keywords":"Climatology; Sea surface temperature; El Niño Southern Oscillation; Wind stress; Nonlinear system; Atmosphere (unit); Atmospheric model; Canonical correlation; Environmental science; Oscillation (cell signaling); Forecast skill; Geology; Meteorology; Physics; Mathematics; Oceanography; Statistics","score_opus":0.015514668639049689,"score_gpt":0.19647828111088467,"score_spread":0.18096361247183498,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074055554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85226023,0.00058985397,0.11961643,0.0008340712,0.00031956384,0.00005697181,0.0020816668,0.0010560629,0.02318525],"genre_scores_gemma":[0.993164,0.00008200657,0.0039343094,0.000031303276,0.000033954086,0.000031163192,0.0002890066,0.000035124034,0.002399022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989104,0.0000348545,0.0000070172296,0.000030051215,0.000018499755,0.00001852076],"domain_scores_gemma":[0.99972504,0.0001213693,0.000034946257,0.000030517054,0.000052005802,0.000036225938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030499397,0.00044008598,0.00048078666,0.00021620489,0.0003406766,0.0010211286,0.00082583027,0.000659586,0.0022888004],"category_scores_gemma":[0.00091717934,0.00042128385,0.000419317,0.0004156069,0.00040502922,0.00092484726,0.0007509531,0.00062094553,0.00019281307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005137856,0.000019284424,0.0009278393,0.000007637264,0.000032559925,0.000013726707,0.000012785402,0.99519724,0.00025558154,0.0014364696,0.00025899406,0.0017865546],"study_design_scores_gemma":[0.000013363997,0.0000059160366,0.00029986448,6.4010106e-7,0.000006381175,0.0000014120545,0.0000028781308,0.9987381,0.00006712637,0.0007452741,0.0001159352,0.0000031169377],"about_ca_topic_score_codex":0.034118537,"about_ca_topic_score_gemma":0.022273986,"teacher_disagreement_score":0.034118537,"about_ca_system_score_codex":0.00078237674,"about_ca_system_score_gemma":0.0007319549,"threshold_uncertainty_score":0.06783986},"labels":[],"label_agreement":null},{"id":"W2075578011","doi":"10.1007/s00382-014-2408-x","title":"Fast-track attribution assessments based on pre-computed estimates of changes in the odds of warm extremes","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"European Commission; Met Office; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Odds; Climatology; Environmental science; Attribution; Climate change; Climate model; Range (aeronautics); Event (particle physics); Statistics; Geology; Logistic regression; Mathematics","score_opus":0.020215399713922142,"score_gpt":0.2808872037088484,"score_spread":0.26067180399492623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075578011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.687696,0.0005343208,0.2828389,0.00059879676,0.000691633,0.00019837746,0.0092081195,0.0027792633,0.015454491],"genre_scores_gemma":[0.9631715,0.000120452576,0.030679382,0.00006315234,0.00015774112,0.000055041382,0.0037916584,0.00012183943,0.0018392091],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9986808,0.00033146385,0.000101595266,0.00040784944,0.0003393453,0.00013909276],"domain_scores_gemma":[0.9830335,0.008457204,0.0025107507,0.0019073379,0.00338145,0.000709825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006150616,0.0008954727,0.0005456359,0.0025706347,0.000645044,0.002254362,0.0010759302,0.00088787806,0.0058379015],"category_scores_gemma":[0.021919806,0.000322793,0.0008481931,0.0018375727,0.0002946682,0.003001859,0.0017304404,0.0012534042,0.0010005105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014376533,0.00026453956,0.31658533,0.00021656873,0.00063777354,0.00017336308,0.00029465987,0.5087639,0.0026347607,0.008799265,0.0087777665,0.15141442],"study_design_scores_gemma":[0.00010113911,0.00021286123,0.12124209,0.00007648934,0.0001383294,0.00010505585,0.0002749057,0.8498886,0.0037300547,0.019681424,0.0044482904,0.000100836885],"about_ca_topic_score_codex":0.0048767896,"about_ca_topic_score_gemma":0.010049114,"teacher_disagreement_score":0.006150616,"about_ca_system_score_codex":0.0007257077,"about_ca_system_score_gemma":0.0009804107,"threshold_uncertainty_score":0.032527983},"labels":[],"label_agreement":null},{"id":"W2076124820","doi":"10.1007/s00382-005-0092-6","title":"Biogeophysical effects of historical land cover changes simulated by six Earth system models of intermediate complexity","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Ecosystem dynamics and resilience","field":"Environmental Science","cited_by":260,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; University of Calgary","funders":"","keywords":"Reforestation; Environmental science; Climatology; Deforestation (computer science); Temperate climate; Land cover; Climate change; Evapotranspiration; Earth system science; Tropics; Carbon sequestration; Land use; Physical geography; Geography; Geology; Agroforestry; Ecology; Oceanography; Carbon dioxide","score_opus":0.004886787138588984,"score_gpt":0.18544059661694134,"score_spread":0.18055380947835237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076124820","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992361,0.00001727138,0.00022129981,0.00009910287,0.000009271589,0.0000036469296,0.00016468315,0.000017447544,0.00023118751],"genre_scores_gemma":[0.999629,0.000017495802,0.000116545234,0.000010302648,0.000003532199,0.0000032126886,0.0001655297,0.0000056218314,0.000048702783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960214,0.00016817244,0.0000363227,0.00006935202,0.00003215007,0.000091876325],"domain_scores_gemma":[0.9960271,0.0026358056,0.00038260932,0.0002838461,0.00029033888,0.00038039614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001456744,0.0005857688,0.00052350515,0.00077889906,0.00062272116,0.0012330296,0.0008424713,0.0012702395,0.0013931878],"category_scores_gemma":[0.0068661673,0.0006688987,0.0009095095,0.00079198944,0.0012052722,0.0015834505,0.00083271397,0.0011337494,0.00009951172],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00054770603,0.00028133916,0.09917839,0.000023521174,0.0002275034,0.00014165873,0.00011653773,0.89452446,0.0010541625,0.0015412756,0.00043865523,0.001924771],"study_design_scores_gemma":[0.00014080228,0.00017689841,0.04359405,0.0000057881794,0.00010437285,0.000039141276,0.00015553333,0.953666,0.0007627759,0.0011022923,0.00021463212,0.000037789483],"about_ca_topic_score_codex":0.025302734,"about_ca_topic_score_gemma":0.022595735,"teacher_disagreement_score":0.025302734,"about_ca_system_score_codex":0.0016389061,"about_ca_system_score_gemma":0.00066535024,"threshold_uncertainty_score":0.05031091},"labels":[],"label_agreement":null},{"id":"W2076945663","doi":"10.1007/s00382-013-2021-4","title":"Developing a likely climate scenario from multiple regional climate model simulations with an optimal weighting factor","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Impact; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Department of Energy and Climate Change; U.S. Department of Energy; Fonds Québécois de la Recherche sur la Nature et les Technologies; National Science Foundation","keywords":"Weighting; Climatology; Environmental science; Climate model; Climate change; Latitude; Representative Concentration Pathways; Econometrics; Meteorology; Mathematics; Geography; Geology","score_opus":0.0355272434665461,"score_gpt":0.2523509401198207,"score_spread":0.21682369665327458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076945663","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5831559,0.00023730312,0.40605187,0.000892424,0.00009240306,0.00019600103,0.0016775436,0.00074556423,0.0069510406],"genre_scores_gemma":[0.92025554,0.00006543348,0.078107506,0.00006314474,0.000020969079,0.00012246006,0.0007158688,0.000097162934,0.00055189896],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958366,0.00019111975,0.000026289781,0.00010320643,0.00005097812,0.000044684955],"domain_scores_gemma":[0.9985801,0.00091447454,0.00011817854,0.00012074915,0.00018134963,0.000085130225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019207388,0.0007824524,0.00065511884,0.0013190693,0.000560749,0.00086774863,0.00091980165,0.0016008179,0.0026647435],"category_scores_gemma":[0.0075921114,0.0010164944,0.0012355591,0.00093079347,0.00031231734,0.0018483335,0.0007991555,0.00089637464,0.00026726155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005152898,0.000017724968,0.0012429527,0.000018268895,0.00005286613,0.000048125014,0.000012977439,0.99203837,0.00048226165,0.001250471,0.00014601235,0.0046384046],"study_design_scores_gemma":[0.0000177999,0.000013975848,0.00046398386,0.0000049271584,0.00002185814,0.000009015167,0.000009514599,0.9972761,0.00029627373,0.0017184637,0.00016079101,0.000007363342],"about_ca_topic_score_codex":0.013009385,"about_ca_topic_score_gemma":0.012391217,"teacher_disagreement_score":0.013009385,"about_ca_system_score_codex":0.0010576295,"about_ca_system_score_gemma":0.0015070747,"threshold_uncertainty_score":0.025867343},"labels":[],"label_agreement":null},{"id":"W2077617098","doi":"10.1007/s00382-007-0351-9","title":"Evaluation of proxy-based millennial reconstruction methods","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Victoria","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Proxy (statistics); Paleoclimatology; Climatology; Computer science; Kalman filter; Forcing (mathematics); Data assimilation; Meteorology; Geology; Environmental science; Climate change; Artificial intelligence; Machine learning; Geography","score_opus":0.0364966751158674,"score_gpt":0.33653784975334333,"score_spread":0.3000411746374759,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077617098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5629112,0.0053379177,0.41021228,0.0021864965,0.000565117,0.0006600617,0.007171448,0.0040872786,0.0068681757],"genre_scores_gemma":[0.7606016,0.0009001078,0.23151982,0.00025804807,0.00011152589,0.00026995342,0.0048412336,0.00071973057,0.0007780143],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.98604894,0.010215022,0.0009428817,0.0013356387,0.0011353579,0.00032225953],"domain_scores_gemma":[0.8930267,0.085470565,0.0032806618,0.009997551,0.007154925,0.0010695995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.06327706,0.0017164921,0.0014424243,0.0028358083,0.001049741,0.003066902,0.0042803846,0.0030876026,0.004625009],"category_scores_gemma":[0.09820792,0.0009748692,0.0013012963,0.0024115592,0.0008356109,0.0035490773,0.0030915476,0.0015339267,0.00074430945],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.004827703,0.00052980724,0.07615514,0.0009571412,0.0031348097,0.0001726607,0.00037697097,0.6643061,0.002590149,0.012461421,0.0028645422,0.23162363],"study_design_scores_gemma":[0.0005422176,0.00027054522,0.008055745,0.00014277507,0.00033769262,0.0001449329,0.00012744429,0.9833455,0.0023514524,0.0032737395,0.0013413224,0.00006662454],"about_ca_topic_score_codex":0.010895686,"about_ca_topic_score_gemma":0.007743686,"teacher_disagreement_score":0.06327706,"about_ca_system_score_codex":0.001976867,"about_ca_system_score_gemma":0.002721978,"threshold_uncertainty_score":0.33464503},"labels":[],"label_agreement":null},{"id":"W2077844549","doi":"10.1007/s00382-010-0773-7","title":"Nonlinear relation of the Arctic oscillation with the quasi-biennial oscillation","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Arctic oscillation; Climatology; Geopotential height; Quasi-biennial oscillation; Oscillation (cell signaling); Stratosphere; Atmospheric sciences; North Atlantic oscillation; Environmental science; Geology; Precipitation; Northern Hemisphere; Meteorology; Physics","score_opus":0.0058375808221715255,"score_gpt":0.19852205597080952,"score_spread":0.19268447514863798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2077844549","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9729787,0.00091658765,0.013052221,0.0007666188,0.00008920943,0.000011518083,0.0004022791,0.00005177883,0.011731013],"genre_scores_gemma":[0.9966509,0.00024115301,0.00071877375,0.000028880531,0.000030655367,0.000005122102,0.00011362955,0.0000147661585,0.0021961955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990594,0.000027898855,0.0000060436,0.000026605361,0.000018333894,0.000015066662],"domain_scores_gemma":[0.9988662,0.0005779758,0.0001996276,0.00009107954,0.00019926697,0.000066012704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038011657,0.00013969147,0.00009701229,0.00036196498,0.00033306182,0.0005886295,0.00016643998,0.00027352,0.002779533],"category_scores_gemma":[0.0037158327,0.0001740607,0.00016422772,0.00049818767,0.00031948034,0.0006656592,0.00052070984,0.00040402365,0.000308207],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00068010914,0.00012860233,0.730465,0.00020038734,0.00023565958,0.0004758675,0.001089188,0.11532252,0.03928649,0.06135532,0.0031607964,0.04760012],"study_design_scores_gemma":[0.000012381445,0.00003735355,0.8160246,0.000027853206,0.000032362463,0.00022159958,0.00017034909,0.1658719,0.0009901776,0.012890417,0.0036903885,0.000030599458],"about_ca_topic_score_codex":0.010058473,"about_ca_topic_score_gemma":0.012294265,"teacher_disagreement_score":0.010058473,"about_ca_system_score_codex":0.00036568937,"about_ca_system_score_gemma":0.00035094895,"threshold_uncertainty_score":0.019999802},"labels":[],"label_agreement":null},{"id":"W2078568316","doi":"10.1007/s00382-002-0244-x","title":"The roles of radiation and dynamical processes in the El Niño-like response to global warming","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"National Institutes of Natural Sciences","keywords":"Climatology; Atmospheric sciences; Environmental science; Precipitation; Outgoing longwave radiation; Climate model; Atmosphere (unit); Longwave; Radiative transfer; Greenhouse gas; Walker circulation; Atmospheric circulation; Latent heat; Flux (metallurgy); Climate change; El Niño Southern Oscillation; Physics; Geology; Convection; Meteorology; Chemistry","score_opus":0.010817082949469248,"score_gpt":0.24956546992227482,"score_spread":0.23874838697280557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078568316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95636886,0.0026222025,0.011336421,0.009072311,0.00035394655,0.000025719946,0.00039000623,0.00010638998,0.019724054],"genre_scores_gemma":[0.9977412,0.00062635634,0.0004761132,0.00017768957,0.00013965687,0.0000062077206,0.00004759854,0.000026619127,0.0007586263],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997999,0.00009491649,0.000011061196,0.000036030877,0.000016396463,0.000041598432],"domain_scores_gemma":[0.9989479,0.000647646,0.00013038702,0.00007696908,0.00008472835,0.00011225753],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012629409,0.0004488257,0.00029220854,0.00028041168,0.00058061554,0.0020101948,0.000697046,0.0013844379,0.0022629716],"category_scores_gemma":[0.0043788175,0.0004882863,0.00042099078,0.00033402725,0.0013055588,0.0026714606,0.0008772501,0.00092101935,0.00022363162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016929902,0.00062058045,0.13122666,0.0003494259,0.00034069893,0.0004976285,0.0013676195,0.5571951,0.04168205,0.21323338,0.0050254916,0.046768423],"study_design_scores_gemma":[0.00023829055,0.00010002404,0.20501344,0.00006736361,0.0001374962,0.00014873507,0.0009037466,0.59305716,0.0024366812,0.19006838,0.0077057327,0.00012297665],"about_ca_topic_score_codex":0.006233598,"about_ca_topic_score_gemma":0.00626635,"teacher_disagreement_score":0.006233598,"about_ca_system_score_codex":0.0007809481,"about_ca_system_score_gemma":0.0005020129,"threshold_uncertainty_score":0.012394667},"labels":[],"label_agreement":null},{"id":"W2078611282","doi":"10.1007/s00382-006-0109-9","title":"Millennial timescale carbon cycle and climate change in an efficient Earth system model","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Environment Research Council; Austrian Science Fund; Sight Research UK","keywords":"Environmental science; Climatology; Carbon cycle; Climate change; Atmospheric sciences; Climate model; Carbon sink; Cryosphere; Sea surface temperature; Ice sheet; Sea ice; Geology; Oceanography; Ecosystem","score_opus":0.006827270297135501,"score_gpt":0.20823954677447212,"score_spread":0.20141227647733662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2078611282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9233495,0.00033365662,0.061541744,0.0017187682,0.00008089513,0.00006263659,0.0016808683,0.00039916203,0.010832726],"genre_scores_gemma":[0.9898475,0.00014347467,0.007209346,0.00009185356,0.00003573963,0.00006081882,0.00043961566,0.000101910075,0.0020697713],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997693,0.00010148374,0.000017575525,0.000040048446,0.000028867307,0.00004280743],"domain_scores_gemma":[0.99884856,0.0007163038,0.00010639807,0.00013093227,0.000101865764,0.00009598295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009716396,0.0005675026,0.0013079908,0.00043452613,0.0008218599,0.0011392918,0.0016033242,0.001900816,0.0026672436],"category_scores_gemma":[0.0034735696,0.0009402793,0.0007448132,0.00070998434,0.0012166956,0.0022489682,0.0011706812,0.0013000513,0.00024366297],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021765216,0.00001367979,0.00036094675,0.000004765778,0.000012181325,0.000013066921,0.000007590988,0.9971685,0.00008720945,0.0019114744,0.00007962904,0.00031922292],"study_design_scores_gemma":[0.000022839617,0.000005374291,0.00013646166,8.006475e-7,0.000007734501,0.0000018746379,0.000003665242,0.99869883,0.00004109195,0.0010061193,0.000072218885,0.0000029441892],"about_ca_topic_score_codex":0.03998053,"about_ca_topic_score_gemma":0.027500052,"teacher_disagreement_score":0.03998053,"about_ca_system_score_codex":0.0017391971,"about_ca_system_score_gemma":0.0019926794,"threshold_uncertainty_score":0.07949561},"labels":[],"label_agreement":null},{"id":"W2083795965","doi":"10.1007/s00382-011-1131-0","title":"Simulation of direct radiative forcing of aerosols and their effects on East Asian climate using an interactive AGCM-aerosol coupled system","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":150,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Air Canada","funders":"","keywords":"Aerosol; Environmental science; Atmospheric sciences; Climatology; Radiative forcing; East Asia; Troposphere; East Asian Monsoon; Single-scattering albedo; Precipitation; Sulfate; Monsoon; Climate model; Albedo (alchemy); Atmosphere (unit); Sea salt; Sulfate aerosol; Forcing (mathematics); Climate change; Meteorology; Geography; Geology; China; Oceanography; Chemistry","score_opus":0.019500663898396442,"score_gpt":0.22890368410846057,"score_spread":0.20940302021006413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2083795965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906749,0.00009463909,0.0020850038,0.00038089463,0.00009044289,0.00003364637,0.0012047029,0.0003079764,0.0051278104],"genre_scores_gemma":[0.9973621,0.000038669135,0.0014205881,0.0000446298,0.00001557465,0.000026445712,0.00053363835,0.000025263329,0.00053294667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978477,0.00006837616,0.000016062088,0.000048086527,0.00002764937,0.000055080814],"domain_scores_gemma":[0.9992719,0.00030981054,0.000057688976,0.000057697776,0.00013216805,0.0001706416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005816244,0.001052363,0.0009432736,0.00045703287,0.00083777943,0.0009024716,0.0015629036,0.0018335573,0.0035961661],"category_scores_gemma":[0.0014188158,0.0006187429,0.0011608137,0.0007892558,0.00083542254,0.0008499475,0.00088296214,0.0014757898,0.00026377017],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029012817,0.00015232766,0.0051244213,0.000040124138,0.000085761814,0.0001224042,0.00005530486,0.9903072,0.0014359375,0.00070648186,0.0004485989,0.0012313639],"study_design_scores_gemma":[0.00016456566,0.000059081758,0.0027869563,0.0000027142098,0.000035364385,0.000008291734,0.000035098714,0.99609876,0.0004932708,0.00016820413,0.00013360401,0.000014062864],"about_ca_topic_score_codex":0.12636556,"about_ca_topic_score_gemma":0.049913824,"teacher_disagreement_score":0.12636556,"about_ca_system_score_codex":0.0018060964,"about_ca_system_score_gemma":0.0020332024,"threshold_uncertainty_score":0.25126004},"labels":[],"label_agreement":null},{"id":"W2084294679","doi":"10.1007/s00382-014-2074-z","title":"Characterizing atmospheric circulation signals in Greenland ice cores: insights from a weather regime approach","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Agence Nationale de la Recherche","keywords":"North Atlantic oscillation; Climatology; Ice core; δ18O; Precipitation; Atlantic multidecadal oscillation; Environmental science; Proxy (statistics); Geology; Atmospheric sciences; Stable isotope ratio; Geography; Meteorology","score_opus":0.013613866494504837,"score_gpt":0.21176980975158224,"score_spread":0.19815594325707742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084294679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958977,0.00015174114,0.002756087,0.00009081155,0.0000051550596,0.0000054238903,0.00020719106,0.000022562312,0.0008633714],"genre_scores_gemma":[0.9988966,0.00009412121,0.0007391182,0.000013195955,0.000007859491,0.0000025868292,0.00014634457,0.000006541692,0.000093573464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993956,0.000016257038,0.0000038485396,0.000016597578,0.000006884438,0.00001690529],"domain_scores_gemma":[0.99981445,0.00007185832,0.00004619826,0.000022881206,0.000017783352,0.00002687978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037993272,0.00028299537,0.00019491401,0.0006659688,0.00032901746,0.0008851995,0.00031908066,0.0003240677,0.0003658813],"category_scores_gemma":[0.001004335,0.00018877929,0.0003471161,0.00082658953,0.00036201207,0.0006707953,0.0003530626,0.0002920776,0.000033900804],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024522925,0.00019102336,0.50597024,0.00006508543,0.00041462432,0.0002528939,0.00056344154,0.415298,0.028025292,0.008659077,0.00094259274,0.039372582],"study_design_scores_gemma":[0.000017832437,0.000020093536,0.33950868,0.000014297411,0.000054904674,0.00003280344,0.00015525163,0.65530634,0.0012741911,0.0030746644,0.0005211683,0.000019775656],"about_ca_topic_score_codex":0.056526124,"about_ca_topic_score_gemma":0.07356742,"teacher_disagreement_score":0.056526124,"about_ca_system_score_codex":0.00074600056,"about_ca_system_score_gemma":0.0006318893,"threshold_uncertainty_score":0.11239421},"labels":[],"label_agreement":null},{"id":"W2084389539","doi":"10.1007/s00382-008-0398-2","title":"The retrospective prediction of ENSO from 1881 to 2000 by a hybrid coupled model: (II) Interdecadal and decadal variations in predictability","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Predictability; Climatology; Sea surface temperature; Anomaly (physics); Forecast skill; El Niño Southern Oscillation; Environmental science; Multivariate ENSO index; Data assimilation; Initialization; Geology; Meteorology; Computer science; Mathematics; Southern oscillation; Statistics; Geography; Physics","score_opus":0.008037592373766785,"score_gpt":0.21079224306338645,"score_spread":0.20275465068961968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084389539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675167,0.000091697024,0.0015759466,0.00012315939,0.000024784382,0.0000030922458,0.0007413539,0.000033609915,0.00065471657],"genre_scores_gemma":[0.9986947,0.0000294667,0.0003991522,0.00000926123,0.0000069735634,0.0000026379557,0.00068121747,0.0000100714715,0.00016641551],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999145,0.000019372841,0.000007077223,0.00003694553,0.00000985347,0.000012178452],"domain_scores_gemma":[0.9995395,0.00018186608,0.00008297693,0.00005713351,0.000105290455,0.000033265347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054642773,0.00038210826,0.00018061759,0.0003148336,0.00022787639,0.00058854115,0.00022793941,0.00034261125,0.00069145916],"category_scores_gemma":[0.0017293008,0.00029980493,0.00029907093,0.00033825115,0.00026171654,0.00059676263,0.00030469606,0.0003962685,0.00011524493],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007009689,0.00006932626,0.3532899,0.00005343612,0.00027504476,0.00015661762,0.00013463428,0.6234687,0.003907847,0.0021037892,0.0020425005,0.013797247],"study_design_scores_gemma":[0.00006434032,0.00007047133,0.23098043,0.000015249813,0.00012453712,0.00006138137,0.000060493567,0.7639503,0.00226726,0.0010304233,0.0013467435,0.000028457955],"about_ca_topic_score_codex":0.022174058,"about_ca_topic_score_gemma":0.029000033,"teacher_disagreement_score":0.022174058,"about_ca_system_score_codex":0.00061407033,"about_ca_system_score_gemma":0.0004390041,"threshold_uncertainty_score":0.044089973},"labels":[],"label_agreement":null},{"id":"W2084467542","doi":"10.1007/s00382-005-0046-z","title":"Testing the downscaling ability of a one-way nested regional climate model in regions of complex topography","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences; Université du Québec à Montréal","keywords":"Downscaling; Climatology; Nested set model; Climate model; Forcing (mathematics); Environmental science; Climate change; Precipitation; Scale (ratio); Geology; Meteorology; Geography; Computer science; Cartography","score_opus":0.07448997949624268,"score_gpt":0.27333334821725574,"score_spread":0.19884336872101305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084467542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952626,0.0000281845,0.0037728434,0.00017923831,0.000017401864,0.000010075643,0.00010632612,0.00007265555,0.0005505227],"genre_scores_gemma":[0.99677473,0.000018768855,0.0028691108,0.000026687472,0.000007753797,0.000007164679,0.0001497118,0.000026084777,0.0001199886],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999223,0.00040079965,0.000061035964,0.00019203409,0.00004607236,0.000077120785],"domain_scores_gemma":[0.98712707,0.009921374,0.000730568,0.0010110863,0.00069868227,0.0005112542],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039978316,0.0007196444,0.0006432799,0.00027283217,0.00067687355,0.0009224873,0.0013475624,0.0013340705,0.0013099519],"category_scores_gemma":[0.019387884,0.0005843087,0.00090882,0.0003438465,0.0009358427,0.0022165806,0.0009130773,0.0013330366,0.00015307206],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048060768,0.00022849481,0.018411681,0.00003199836,0.00014791377,0.00005000225,0.00012055951,0.9739866,0.0011609076,0.0011073994,0.00025822263,0.004015599],"study_design_scores_gemma":[0.00005692538,0.00005948418,0.001405784,0.0000025028896,0.00002129464,0.000005128871,0.00003125703,0.9977187,0.00037746783,0.00028069504,0.000034537396,0.0000062584395],"about_ca_topic_score_codex":0.06462935,"about_ca_topic_score_gemma":0.029540887,"teacher_disagreement_score":0.06462935,"about_ca_system_score_codex":0.00096464594,"about_ca_system_score_gemma":0.0015769235,"threshold_uncertainty_score":0.1285063},"labels":[],"label_agreement":null},{"id":"W2084641697","doi":"10.1007/s00382-013-1809-6","title":"Coupled climate impacts of the Drake Passage and the Panama Seaway","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Oceanography; Panama; Geostrophic wind; Geology; Climatology; Ocean current; Thermohaline circulation; Subtropics; Atmospheric circulation; Ocean gyre; Southern Hemisphere; Environmental science","score_opus":0.006913706819727708,"score_gpt":0.21339219020659744,"score_spread":0.20647848338686975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084641697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923577,0.00019719299,0.00018868451,0.001437441,0.00010535501,0.000008287303,0.00072701054,0.000034081888,0.0049442137],"genre_scores_gemma":[0.99854064,0.00017227944,0.00013223164,0.00009222545,0.00002310265,0.000007474469,0.00021891022,0.000012512582,0.0008006815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997446,0.00006866393,0.000017772376,0.00006381836,0.00003450638,0.00007060971],"domain_scores_gemma":[0.9995883,0.000068275156,0.00009547719,0.000035214285,0.00007501935,0.00013772561],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004098958,0.00037730092,0.00041208335,0.0004488268,0.00071408146,0.0018088561,0.00053589186,0.0010637657,0.005648255],"category_scores_gemma":[0.001681382,0.00035457592,0.00066861854,0.0007588729,0.00060617336,0.0011365176,0.0020383426,0.0009360862,0.0002572273],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0059664524,0.0011365041,0.5180735,0.00039154838,0.002401729,0.0048699835,0.0018606398,0.32440498,0.032676507,0.040225115,0.020849632,0.047143355],"study_design_scores_gemma":[0.00045150588,0.00041667666,0.82211787,0.000054177788,0.00053742924,0.00030392912,0.0029955192,0.14173783,0.0029085947,0.010644916,0.017687984,0.00014354281],"about_ca_topic_score_codex":0.12530297,"about_ca_topic_score_gemma":0.11430819,"teacher_disagreement_score":0.12530297,"about_ca_system_score_codex":0.002623389,"about_ca_system_score_gemma":0.0013610318,"threshold_uncertainty_score":0.24914724},"labels":[],"label_agreement":null},{"id":"W2085575765","doi":"10.1007/s00382-014-2423-y","title":"Attributing northern high-latitude precipitation change over the period 1966–2005 to human influence","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Korea Meteorological Administration","keywords":"Forcing (mathematics); Precipitation; Climatology; Environmental science; Latitude; Period (music); Atmospheric sciences; Natural (archaeology); Climate change; Geology; Meteorology; Geography; Oceanography","score_opus":0.01678566232215217,"score_gpt":0.25615466595670183,"score_spread":0.23936900363454966,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085575765","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99908113,0.000042695963,0.00021703674,0.000021770331,0.000005550145,0.0000015574252,0.00036758234,0.000014370001,0.00024825003],"genre_scores_gemma":[0.99935097,0.000029080575,0.00016997439,0.00000236617,0.0000039744427,8.7584965e-7,0.00039015705,0.0000018767083,0.000050693776],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998573,0.000028538241,0.000012366426,0.000057115714,0.000020047475,0.000024653054],"domain_scores_gemma":[0.99958986,0.00009516018,0.0001418322,0.00006074543,0.000053817574,0.00005856597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051153696,0.00022922701,0.00019921863,0.000540777,0.00022370582,0.0004392829,0.00020806454,0.00025325897,0.00060405675],"category_scores_gemma":[0.0011011574,0.00013138662,0.0004851852,0.0009572068,0.0002512893,0.0002493466,0.0003288986,0.00019981065,0.00010303598],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027690816,0.000036734386,0.95641273,0.00002789729,0.00012762684,0.00009059935,0.00011307921,0.035650324,0.0014066158,0.00013182088,0.0002222793,0.005503352],"study_design_scores_gemma":[0.000011106421,0.000029572924,0.9727192,0.0000062282425,0.000029159786,0.00005570152,0.00007764575,0.026256809,0.00049512694,0.00006305263,0.00024887646,0.0000075212756],"about_ca_topic_score_codex":0.05710954,"about_ca_topic_score_gemma":0.074138045,"teacher_disagreement_score":0.05710954,"about_ca_system_score_codex":0.0009279215,"about_ca_system_score_gemma":0.00035895006,"threshold_uncertainty_score":0.11355424},"labels":[],"label_agreement":null},{"id":"W2086152546","doi":"10.1007/s00382-001-0211-y","title":"Does the NAO index represent zonal flow? The influence of the NAO on North Atlantic surface temperature","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":82,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"North Atlantic oscillation; Climatology; Zonal and meridional; Empirical orthogonal functions; Sea surface temperature; Zonal flow (plasma); Atmospheric circulation; Geopotential height; Meridional flow; Geology; Circulation (fluid dynamics); Atlantic multidecadal oscillation; Environmental science; Atmospheric sciences; Geography; Precipitation; Meteorology","score_opus":0.007827707491728002,"score_gpt":0.20282400566220551,"score_spread":0.1949962981704775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086152546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706233,0.0036934363,0.0023818037,0.0078068664,0.00033378744,0.000014494158,0.0010430893,0.000069763504,0.014033343],"genre_scores_gemma":[0.9970174,0.0012043188,0.0004054967,0.00019867386,0.00015610174,0.000002782249,0.0001847503,0.000051854517,0.00077874516],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999653,0.00018544654,0.000020452992,0.000050190207,0.000041654723,0.000049179744],"domain_scores_gemma":[0.9961784,0.0021556257,0.0006240467,0.00025960346,0.00043772982,0.0003446305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018123533,0.00047996864,0.0005814157,0.0004444611,0.00048554604,0.0018181163,0.000619776,0.0009916079,0.002110676],"category_scores_gemma":[0.010143847,0.0003904151,0.0006070692,0.0011656937,0.0008154705,0.002083383,0.00062746846,0.0007984012,0.00054992456],"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":[0.00083987304,0.00011792697,0.92091507,0.00014044443,0.0008445243,0.00018339485,0.00041181364,0.02912181,0.0070107765,0.006499748,0.004837327,0.029077353],"study_design_scores_gemma":[0.000054299824,0.00006265184,0.92081815,0.000059239108,0.00036713656,0.0000749848,0.00035964756,0.06759594,0.0007260928,0.005205237,0.0046203975,0.00005622179],"about_ca_topic_score_codex":0.064380564,"about_ca_topic_score_gemma":0.06187406,"teacher_disagreement_score":0.064380564,"about_ca_system_score_codex":0.0006817816,"about_ca_system_score_gemma":0.000793919,"threshold_uncertainty_score":0.12801164},"labels":[],"label_agreement":null},{"id":"W2086210992","doi":"10.1007/s00382-013-1778-9","title":"Reanalysis-driven climate simulation over CORDEX North America domain using the Canadian Regional Climate Model, version 5: model performance evaluation","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":213,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Canadian Foundation for Climate and Atmospheric Sciences; Compute Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Downscaling; Climatology; Precipitation; Climate model; Environmental science; Monsoon; Climate change; General Circulation Model; Geography; Geology; Meteorology; Oceanography","score_opus":0.03112862928823786,"score_gpt":0.2686116679660291,"score_spread":0.23748303867779122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086210992","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728439,0.00037563866,0.0030258738,0.00038171606,0.00008388076,0.00017049238,0.010382235,0.0014591758,0.011277099],"genre_scores_gemma":[0.9827655,0.00022354742,0.0075314627,0.00007781315,0.000017226375,0.00010502327,0.0071206936,0.000094561015,0.0020641275],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99971765,0.00005841285,0.000016481288,0.00006578278,0.0000759499,0.00006572108],"domain_scores_gemma":[0.99913955,0.00015654789,0.000053068547,0.000046111192,0.000500281,0.000104347244],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009586735,0.0013013013,0.0007546915,0.0006761811,0.001237546,0.00096257427,0.0022514414,0.0007517962,0.0019404818],"category_scores_gemma":[0.0018470804,0.0004116872,0.0006542971,0.0013901619,0.0005154816,0.00053943566,0.00048621904,0.00074371276,0.00028245573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003050033,0.00018044155,0.019593604,0.00008990355,0.00012795124,0.000110957,0.000076483004,0.96599823,0.0008577646,0.0008071651,0.0040002353,0.007852134],"study_design_scores_gemma":[0.00015771386,0.000038301783,0.012133577,0.000008036219,0.000034566758,0.000009307848,0.00004556264,0.98588634,0.0005079204,0.00010242164,0.0010482785,0.000027932772],"about_ca_topic_score_codex":0.96240634,"about_ca_topic_score_gemma":0.9329968,"teacher_disagreement_score":0.037593663,"about_ca_system_score_codex":0.010231841,"about_ca_system_score_gemma":0.011505855,"threshold_uncertainty_score":0.07563007},"labels":[],"label_agreement":null},{"id":"W2086330371","doi":"10.1007/s00382-005-0033-4","title":"Two climatic states and feedbacks on thermohaline circulation in an Earth system model of intermediate complexity","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Thermohaline circulation; Climatology; North Atlantic Deep Water; Shutdown of thermohaline circulation; Atlantic multidecadal oscillation; Forcing (mathematics); Geology; Sea ice; Environmental science; Climate model; Atlantic Equatorial mode; Water cycle; Ice sheet; Climate change; Oceanography","score_opus":0.03407255340583798,"score_gpt":0.2785439672768503,"score_spread":0.24447141387101234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086330371","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9912567,0.00003872783,0.0048802244,0.0010868186,0.000021475607,0.000009412289,0.00019271598,0.00006971607,0.0024441578],"genre_scores_gemma":[0.99899036,0.00002063407,0.00037144127,0.000034177647,0.00001098941,0.0000052117844,0.00003247282,0.000013246939,0.00052148296],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998554,0.000060724957,0.00000790307,0.000026188836,0.000010738133,0.00003902382],"domain_scores_gemma":[0.9983346,0.001058764,0.0001671897,0.00007064562,0.00009934289,0.00026950196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006613532,0.00042828236,0.00051473454,0.00038017417,0.0008055845,0.001987883,0.00069805805,0.0014612331,0.002822041],"category_scores_gemma":[0.004337573,0.0006566897,0.00064890145,0.00030486577,0.0015098958,0.002630534,0.0010354079,0.0014747677,0.00012009971],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031965703,0.000080624035,0.008059191,0.000015877766,0.000046453944,0.00014159745,0.00014659662,0.9738063,0.0009838991,0.014822823,0.00046648685,0.0011105693],"study_design_scores_gemma":[0.000086791944,0.000021480178,0.0023858708,0.000002146284,0.000021373999,0.000008245851,0.00004208435,0.99319845,0.00010447812,0.00403977,0.00007404384,0.000015286834],"about_ca_topic_score_codex":0.023486799,"about_ca_topic_score_gemma":0.014641921,"teacher_disagreement_score":0.023486799,"about_ca_system_score_codex":0.0013215767,"about_ca_system_score_gemma":0.0007746092,"threshold_uncertainty_score":0.04670018},"labels":[],"label_agreement":null},{"id":"W2086641102","doi":"10.1007/s00382-009-0615-7","title":"Probabilistic estimates of recent changes in temperature: a multi-scale attribution analysis","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate Change and Health Impacts","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Department for Environment, Food and Rural Affairs, UK Government","keywords":"Climatology; Environmental science; Range (aeronautics); Climate change; Scale (ratio); Mean radiant temperature; Global warming; Probabilistic logic; Geography; Statistics; Geology; Mathematics; Oceanography","score_opus":0.03930018569267092,"score_gpt":0.31891207402109245,"score_spread":0.27961188832842154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086641102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5967542,0.00091612403,0.39819935,0.00072520523,0.0000985518,0.00008682356,0.0009586829,0.000330147,0.001930932],"genre_scores_gemma":[0.981912,0.00019243793,0.01679875,0.000032240365,0.00006099807,0.00003394892,0.00042176966,0.000042089127,0.0005058135],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99780816,0.0010060575,0.00016211167,0.0006130128,0.00029155647,0.0001191135],"domain_scores_gemma":[0.96248454,0.03093112,0.0026867809,0.0025281864,0.0009969876,0.00037239684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011854573,0.0006812175,0.0011097557,0.002195955,0.00075610564,0.0021198026,0.0019011336,0.0014994701,0.0029036617],"category_scores_gemma":[0.038869973,0.00075831474,0.0024013491,0.0027490635,0.0012464498,0.004171512,0.0022199664,0.0014169599,0.00021519241],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023393755,0.00006429751,0.032788124,0.000081401675,0.00043778584,0.00009821511,0.000107802385,0.9291801,0.00042662618,0.007145796,0.00041265725,0.029023211],"study_design_scores_gemma":[0.000013250903,0.000021350774,0.013263921,0.000008758254,0.00007656936,0.000037875136,0.0000250437,0.97594166,0.00010949901,0.010328037,0.00014960175,0.000024456613],"about_ca_topic_score_codex":0.0073971087,"about_ca_topic_score_gemma":0.0050019594,"teacher_disagreement_score":0.011854573,"about_ca_system_score_codex":0.0009531861,"about_ca_system_score_gemma":0.00055755925,"threshold_uncertainty_score":0.062693715},"labels":[],"label_agreement":null},{"id":"W2087579421","doi":"10.1007/s00382-015-2518-0","title":"Linear interference and the northern annular mode response to El Niño and climate change","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Compute Canada","keywords":"Climatology; Eddy; Northern Hemisphere; Mode (computer interface); Amplitude; Environmental science; Sea surface temperature; Nonlinear system; Climate model; Climate change; Interference (communication); Geology; Atmospheric sciences; Physics; Meteorology; Oceanography; Turbulence","score_opus":0.029822593107949786,"score_gpt":0.27430121710081484,"score_spread":0.24447862399286505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087579421","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97717845,0.00014855665,0.008435259,0.0015066522,0.00008313492,0.000010047556,0.00016566909,0.0001290232,0.012343141],"genre_scores_gemma":[0.998789,0.000042761218,0.00020919775,0.00004236432,0.00001718889,0.000004316144,0.000038560243,0.000014246366,0.0008424276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998091,0.00008485316,0.000005286235,0.00002171581,0.000017929415,0.00006118655],"domain_scores_gemma":[0.99876344,0.00078461773,0.00013281069,0.00005132179,0.00012332703,0.000144491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007645783,0.00028529344,0.00020453069,0.00020152885,0.00036486442,0.0008251927,0.00043834903,0.0005485527,0.0030268722],"category_scores_gemma":[0.005365522,0.00023010884,0.0002941663,0.00029584143,0.00045033812,0.00062726875,0.0007397478,0.00052150805,0.0002148531],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007505676,0.0002451294,0.08608579,0.00006476677,0.00016799958,0.00027668354,0.00070898497,0.8435862,0.0070051486,0.039932843,0.0046238527,0.016552007],"study_design_scores_gemma":[0.000051310304,0.000039901024,0.055945702,0.000009298501,0.000028675759,0.00004026186,0.00033760228,0.92368346,0.0005057408,0.018444527,0.0008874555,0.000025970778],"about_ca_topic_score_codex":0.019822178,"about_ca_topic_score_gemma":0.011917711,"teacher_disagreement_score":0.019822178,"about_ca_system_score_codex":0.0008860599,"about_ca_system_score_gemma":0.00045422695,"threshold_uncertainty_score":0.03941363},"labels":[],"label_agreement":null},{"id":"W2087988810","doi":"10.1007/s00382-014-2113-9","title":"Dry spell characteristics over India based on IMD and APHRODITE datasets","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"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; Université du Québec à Montréal","funders":"","keywords":"Climatology; Precipitation; Monsoon; Mediterranean climate; Environmental science; Geography; Meteorology; Geology","score_opus":0.00600865005975132,"score_gpt":0.21580096490047015,"score_spread":0.20979231484071884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2087988810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9089922,0.00021864411,0.00043734556,0.00014692024,0.000045240617,0.000012631656,0.087158106,0.00051047804,0.0024783895],"genre_scores_gemma":[0.9280957,0.00012913316,0.0006291303,0.000036279704,0.000030055573,0.000017137188,0.070324555,0.00006208849,0.0006758407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998859,0.000009120247,0.000010619612,0.00003751088,0.00001698719,0.00003978272],"domain_scores_gemma":[0.99956983,0.000076880795,0.000093388255,0.00007044644,0.000103378574,0.00008602099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021060315,0.00044243774,0.0002774299,0.001267061,0.0002744539,0.0006149503,0.00058469054,0.00041829297,0.0023800738],"category_scores_gemma":[0.0005714216,0.00017048042,0.00068892806,0.0025341045,0.00019413614,0.00039489017,0.00030845654,0.00028976,0.0007339407],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002212744,0.00033819998,0.73271656,0.0006583715,0.0010500138,0.0013036366,0.0005216946,0.17821842,0.012721682,0.0018615117,0.04280439,0.025592819],"study_design_scores_gemma":[0.00007889946,0.00003834117,0.954154,0.000030552947,0.0001368484,0.00013541318,0.00027363686,0.035209484,0.0017668497,0.0002402332,0.00787655,0.000059171634],"about_ca_topic_score_codex":0.083012566,"about_ca_topic_score_gemma":0.07353369,"teacher_disagreement_score":0.083012566,"about_ca_system_score_codex":0.00053136,"about_ca_system_score_gemma":0.00060283515,"threshold_uncertainty_score":0.16505879},"labels":[],"label_agreement":null},{"id":"W2088017675","doi":"10.1007/s00382-014-2227-0","title":"State of the tropical Pacific Ocean and its enhanced impact on precipitation over East Asia during marine isotopic stage 13","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Climatology; Teleconnection; Sea surface temperature; HadCM3; Precipitation; Marine isotope stage; Environmental science; Pacific decadal oscillation; Oceanography; Tropical Eastern Pacific; Climate model; Tropics; Subtropics; Interglacial; Geology; Climate change; Glacial period; General Circulation Model; Pacific ocean; Geography; GCM transcription factors; El Niño Southern Oscillation","score_opus":0.007276282616949403,"score_gpt":0.23453629572222845,"score_spread":0.22726001310527905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088017675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985216,0.00006795915,0.000031064894,0.00007137989,0.000004537838,0.0000017277285,0.0003183992,0.0000018810671,0.00098147],"genre_scores_gemma":[0.9995555,0.000059225364,0.00002010893,0.00000997827,0.0000039757947,0.0000015093423,0.0001836112,0.0000018371998,0.00016424291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99993026,0.000012467547,0.000008920247,0.000013872721,0.000009829673,0.000024729196],"domain_scores_gemma":[0.9994931,0.00011351842,0.00016597725,0.00003037376,0.000105905296,0.00009104636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003480472,0.00013454042,0.00017244884,0.00047762142,0.0005036321,0.0010146918,0.00024012351,0.00027082418,0.0017217237],"category_scores_gemma":[0.0009032325,0.00019116481,0.00022869935,0.00086227624,0.0003809551,0.0005185585,0.0007131324,0.00030432997,0.00016573777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021392331,0.000031567324,0.9929469,0.000019274168,0.000072535455,0.0001516926,0.0006172618,0.00034047305,0.0029871215,0.00023481931,0.00015842084,0.0022259976],"study_design_scores_gemma":[0.0000015880058,0.000008491236,0.9991875,0.0000031902323,0.000009798056,0.000015922085,0.0002948736,0.00017621445,0.00010167009,0.000020683205,0.00017814952,0.0000018670979],"about_ca_topic_score_codex":0.042784363,"about_ca_topic_score_gemma":0.085569486,"teacher_disagreement_score":0.042784363,"about_ca_system_score_codex":0.0005420638,"about_ca_system_score_gemma":0.0005598811,"threshold_uncertainty_score":0.08507067},"labels":[],"label_agreement":null},{"id":"W2088300875","doi":"10.1007/pl00013735","title":"Second-order space-time climate difference statistics","year":2001,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Representation (politics); Diagram; Context (archaeology); Statistics; Space (punctuation); Variance (accounting); Space time; Climate model; Mathematics; Meteorology; Statistical physics; Computer science; Climate change; Physics; Geology","score_opus":0.01477809176212911,"score_gpt":0.22610476872276986,"score_spread":0.21132667696064075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088300875","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":[0.1550798,0.0007170301,0.8236648,0.0009285477,0.0003552191,0.000056494715,0.0049418136,0.0018192196,0.012437013],"genre_scores_gemma":[0.92783284,0.00046307384,0.053800076,0.00023552122,0.0002514512,0.000110034154,0.007345048,0.00047864037,0.00948334],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911636,0.00024490806,0.000059646183,0.00017968199,0.00026352392,0.0001357803],"domain_scores_gemma":[0.98722935,0.008165068,0.0004977741,0.0027945123,0.0010260659,0.00028714078],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002793488,0.00043251252,0.0008785734,0.0011482288,0.00071549695,0.0016404978,0.0011842907,0.0010561484,0.007965687],"category_scores_gemma":[0.019221427,0.00043924857,0.000677301,0.0015335644,0.00076224597,0.0032111697,0.0007532868,0.0014724139,0.0013451498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033188902,0.000092836606,0.013983993,0.00012105117,0.000108893444,0.00016967642,0.00010312695,0.6575072,0.002126953,0.2794561,0.009225798,0.036772452],"study_design_scores_gemma":[0.00001212296,0.000012628807,0.0018750739,0.0000053290205,0.000007775048,0.00005352876,0.000010683212,0.9513658,0.00096433546,0.04410352,0.0015743178,0.0000149904145],"about_ca_topic_score_codex":0.0060989554,"about_ca_topic_score_gemma":0.0072217165,"teacher_disagreement_score":0.007965687,"about_ca_system_score_codex":0.0009811588,"about_ca_system_score_gemma":0.001251737,"threshold_uncertainty_score":0.026647866},"labels":[],"label_agreement":null},{"id":"W2088725883","doi":"10.1007/s00382-005-0076-6","title":"Variability of precipitation intensity: sensitivity to treatment of moist convection in an RCM and a GCM","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Climatology; GCM transcription factors; Precipitation; Environmental science; Intensity (physics); Convection; Sensitivity (control systems); Deep convection; Atmospheric sciences; General Circulation Model; Geology; Climate change; Meteorology; Geography","score_opus":0.021134309680252678,"score_gpt":0.2548537429617439,"score_spread":0.23371943328149122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088725883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918435,0.00018527616,0.0034254298,0.0005280343,0.000084217114,0.00004824596,0.0011908557,0.00030558382,0.0023888121],"genre_scores_gemma":[0.99775106,0.000047798796,0.001394279,0.000071508424,0.000035408895,0.000023627821,0.00041523343,0.00005448641,0.00020649483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931026,0.00028046558,0.00005134631,0.00015365417,0.000097600925,0.0001066998],"domain_scores_gemma":[0.99703217,0.0016371076,0.00022668821,0.00048155626,0.00041489233,0.00020761944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002045251,0.0006958353,0.0007584514,0.00054603233,0.0007739109,0.0012913794,0.0016427969,0.0021604677,0.0011476923],"category_scores_gemma":[0.0074677514,0.000718168,0.0012836374,0.001244282,0.0009505289,0.0010872517,0.0005768734,0.0015087216,0.00018757676],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004622504,0.00014737442,0.0260784,0.000052669588,0.00017516893,0.000089750145,0.00006881232,0.9631854,0.004487475,0.0012324016,0.00084467186,0.0031755862],"study_design_scores_gemma":[0.00015758164,0.000044899374,0.017730432,0.0000051098245,0.00005536724,0.0000149348825,0.000020480684,0.97922266,0.0021787193,0.00026605133,0.00027567593,0.000028029921],"about_ca_topic_score_codex":0.08559088,"about_ca_topic_score_gemma":0.023666086,"teacher_disagreement_score":0.08559088,"about_ca_system_score_codex":0.0016368827,"about_ca_system_score_gemma":0.0010222961,"threshold_uncertainty_score":0.17018533},"labels":[],"label_agreement":null},{"id":"W2089286605","doi":"10.1007/s00382-010-0839-6","title":"Poleward propagation of boreal summer intraseasonal oscillations in a coupled model: role of internal processes","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Climatology; Madden–Julian oscillation; Moisture; Advection; Troposphere; Precipitation; Environmental science; Geology; Convection; Atmospheric sciences; Meteorology","score_opus":0.00858117461511024,"score_gpt":0.2413326404166845,"score_spread":0.23275146580157427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089286605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9844243,0.000208496,0.010206787,0.00062976894,0.00008618261,0.000011861037,0.00022940336,0.00022186096,0.0039813723],"genre_scores_gemma":[0.998086,0.00008751299,0.0007183018,0.000029998451,0.00001999891,0.000005707189,0.00009478803,0.000040807347,0.00091683224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991524,0.000029045785,0.000004796279,0.000022871469,0.0000077797185,0.000020333382],"domain_scores_gemma":[0.99947447,0.00020533263,0.00008626852,0.00003266421,0.00008912088,0.00011212941],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049034273,0.00062342157,0.00047644257,0.00024269981,0.00077461114,0.0011680645,0.0006576934,0.0011837815,0.0019618997],"category_scores_gemma":[0.0020492189,0.0005695123,0.0006992186,0.0002631505,0.000712316,0.0009789743,0.000613795,0.0009403586,0.00016662052],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016874801,0.000054495726,0.010145484,0.000020893902,0.000061735554,0.000114855335,0.0001077806,0.98054355,0.0022567797,0.0032839265,0.00097385165,0.0022679837],"study_design_scores_gemma":[0.00004069512,0.000020622729,0.0031062367,0.0000024124386,0.000020620824,0.000011060312,0.000020515077,0.9957189,0.000128995,0.00081905274,0.00010146451,0.000009435004],"about_ca_topic_score_codex":0.06534085,"about_ca_topic_score_gemma":0.02962291,"teacher_disagreement_score":0.06534085,"about_ca_system_score_codex":0.00087411655,"about_ca_system_score_gemma":0.0010239454,"threshold_uncertainty_score":0.12992102},"labels":[],"label_agreement":null},{"id":"W2089729606","doi":"10.1007/s00382-011-1068-3","title":"Potential for added value in precipitation simulated by high-resolution nested Regional Climate Models and observations","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":280,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Precipitation; Climatology; Climate model; Nested set model; Environmental science; Orography; Scale (ratio); Orographic lift; Forcing (mathematics); Spatial ecology; Downscaling; Climate change; Meteorology; Geography; Computer science; Geology; Cartography; Data mining","score_opus":0.043333114971281284,"score_gpt":0.2422637013331381,"score_spread":0.19893058636185681,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089729606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9345792,0.00032871793,0.0614422,0.00043629154,0.00008631729,0.00004638288,0.00085098046,0.0004053061,0.0018245579],"genre_scores_gemma":[0.9882506,0.000057643803,0.011047354,0.000038334365,0.000017847853,0.000022097263,0.00039285247,0.000040967916,0.00013242842],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9984635,0.0008649575,0.00009207034,0.00027114293,0.00021677765,0.00009154623],"domain_scores_gemma":[0.9870204,0.009443647,0.0009475913,0.0016045759,0.000753793,0.00022998969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004542061,0.00055962853,0.00058122183,0.0006008942,0.00025130346,0.0012416117,0.0011944363,0.0009802912,0.0006514129],"category_scores_gemma":[0.0257086,0.00044333274,0.0008746306,0.0011211898,0.00053952844,0.0023177708,0.0008141393,0.00083010795,0.00012059443],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015151745,0.000060579147,0.033758715,0.000058705078,0.00020002249,0.00014045731,0.00005915332,0.9518723,0.0011720364,0.0033361635,0.00024664574,0.008943735],"study_design_scores_gemma":[0.000019339584,0.000027620976,0.008409742,0.0000112441085,0.00002824979,0.0000261472,0.000023166725,0.9875572,0.00068058434,0.002892515,0.00030612803,0.000018063354],"about_ca_topic_score_codex":0.00736218,"about_ca_topic_score_gemma":0.0056550773,"teacher_disagreement_score":0.00736218,"about_ca_system_score_codex":0.00089776266,"about_ca_system_score_gemma":0.0005429182,"threshold_uncertainty_score":0.02402103},"labels":[],"label_agreement":null},{"id":"W2090836156","doi":"10.1007/s00382-008-0376-8","title":"Signal detectability in extreme precipitation changes assessed from twentieth century climate simulations","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Deutsche Forschungsgemeinschaft; Deutsches Klimarechenzentrum","keywords":"Climatology; Precipitation; Environmental science; Generalized extreme value distribution; Forcing (mathematics); Global warming; Extreme value theory; Latitude; Greenhouse gas; Climate change; Atmospheric sciences; Meteorology; Geography; Geology; Mathematics; Statistics","score_opus":0.04663472313534773,"score_gpt":0.2539531198129098,"score_spread":0.20731839667756208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090836156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99808735,0.000034051667,0.0014134641,0.000038400976,0.000004536807,0.000003804849,0.00013823382,0.000030490173,0.00024962876],"genre_scores_gemma":[0.99930096,0.000015665346,0.00035369617,0.0000048489933,0.0000033773938,0.0000024732033,0.0002844287,0.000005198451,0.000029348359],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99949586,0.00018534597,0.000041237694,0.00013748507,0.0000884019,0.00005165873],"domain_scores_gemma":[0.99705577,0.0018689882,0.00047025827,0.0002685957,0.00021950259,0.000116945295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021530308,0.00036438557,0.00038121248,0.00063966465,0.00021893358,0.00080721785,0.00039917658,0.00047695442,0.00038900206],"category_scores_gemma":[0.009572275,0.0002873961,0.0006463927,0.00051214756,0.00030925247,0.00074856565,0.00067088834,0.0004544896,0.000040956398],"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":[0.0006677426,0.000086599786,0.51519233,0.000065029206,0.00064392184,0.0002347084,0.00016215179,0.46427262,0.005801349,0.0011414995,0.00021862754,0.011513492],"study_design_scores_gemma":[0.00004765042,0.00013662525,0.3132676,0.000013423252,0.00011726536,0.0000633076,0.000065537635,0.68366706,0.0017668015,0.00050332735,0.00031670768,0.00003463869],"about_ca_topic_score_codex":0.010084325,"about_ca_topic_score_gemma":0.0064862752,"teacher_disagreement_score":0.010084325,"about_ca_system_score_codex":0.00044235066,"about_ca_system_score_gemma":0.00037326966,"threshold_uncertainty_score":0.02005124},"labels":[],"label_agreement":null},{"id":"W2091732145","doi":"10.1007/s00382-003-0360-2","title":"Internal variability of RCM simulations over an annual cycle","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Environmental science; Precipitation; Annual cycle; GCM transcription factors; Climate model; Nested set model; Meteorology; Diurnal cycle; Humidity; Relative humidity; Water vapor; Atmospheric sciences; General Circulation Model; Climate change; Geology; Geography; Computer science","score_opus":0.008278686220657808,"score_gpt":0.2591056271182197,"score_spread":0.2508269408975619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091732145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870157,0.00015784726,0.0025898593,0.0004871258,0.00008015553,0.000014646632,0.0027868103,0.0007065769,0.0061613247],"genre_scores_gemma":[0.997326,0.000049695074,0.0005333652,0.000031194115,0.000015844285,0.000009639564,0.0015471138,0.00016611803,0.00032096033],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997323,0.000051600036,0.00002025473,0.00008017407,0.000058480324,0.00005714791],"domain_scores_gemma":[0.99836296,0.0006806071,0.00020182837,0.00029354653,0.00033542965,0.00012566453],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009075946,0.00043313368,0.00045131618,0.0006997809,0.000569616,0.0013794216,0.000638686,0.0010825972,0.0016588657],"category_scores_gemma":[0.0045127845,0.00058323983,0.0008630891,0.0011738468,0.00070087006,0.0008697821,0.0005397939,0.0011145142,0.00036272907],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015907416,0.00009402182,0.032612465,0.000039705064,0.00021727002,0.000108968656,0.0001137574,0.95238703,0.00368285,0.0028065087,0.0028537416,0.004924557],"study_design_scores_gemma":[0.000039925966,0.000030885014,0.059206568,0.000012334774,0.00005952776,0.00003595937,0.000044090706,0.93614084,0.0019360519,0.001334137,0.001120192,0.000039510593],"about_ca_topic_score_codex":0.026652515,"about_ca_topic_score_gemma":0.014396747,"teacher_disagreement_score":0.026652515,"about_ca_system_score_codex":0.0016127724,"about_ca_system_score_gemma":0.00074583566,"threshold_uncertainty_score":0.052994788},"labels":[],"label_agreement":null},{"id":"W2094390923","doi":"10.1007/s00382-012-1651-2","title":"Climate projections over CORDEX Africa domain using the fifth-generation Canadian Regional Climate Model (CRCM5)","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":199,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Climatology; Climate model; Precipitation; Climate change; Environmental science; General Circulation Model; Monsoon; Transient climate simulation; Downscaling; Geography; Meteorology; Geology; Oceanography","score_opus":0.04167663313404828,"score_gpt":0.2501516242828131,"score_spread":0.20847499114876483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094390923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85298675,0.0019974923,0.0051501635,0.0017947631,0.00015965276,0.00032500995,0.09200958,0.00070425577,0.044872314],"genre_scores_gemma":[0.95525736,0.0012215951,0.010458422,0.00014180287,0.000022214746,0.00015023546,0.02412211,0.00006124143,0.008565038],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997745,0.000045439065,0.000010495631,0.000038308946,0.00007572502,0.000055556156],"domain_scores_gemma":[0.9995685,0.000037640355,0.000029345945,0.000026244996,0.00029245965,0.000045871366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005701608,0.0005221745,0.00027229034,0.0009432286,0.0008350437,0.00076951034,0.00065640727,0.00039662432,0.003691841],"category_scores_gemma":[0.0011077606,0.00016045506,0.0004165606,0.0014382107,0.00019310118,0.0003383037,0.00039776176,0.00035589974,0.00026793333],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070192467,0.00012529889,0.08629964,0.00050519925,0.00033538375,0.0007193729,0.00031933398,0.7898443,0.002782965,0.02007592,0.045420997,0.05286973],"study_design_scores_gemma":[0.00039805457,0.00011645131,0.20455712,0.00021169904,0.00017417176,0.00017239037,0.00047530187,0.671963,0.0041210656,0.002094569,0.11556151,0.00015471123],"about_ca_topic_score_codex":0.9551855,"about_ca_topic_score_gemma":0.9436755,"teacher_disagreement_score":0.9551855,"about_ca_system_score_codex":0.014405966,"about_ca_system_score_gemma":0.010634766,"threshold_uncertainty_score":0.10452306},"labels":[],"label_agreement":null},{"id":"W2094842049","doi":"10.1007/s00382-004-0392-2","title":"Natural and anthropogenic climate change: incorporating historical land cover change, vegetation dynamics and the global carbon cycle","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":253,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Environmental science; Climatology; Climate change; Biogeochemical cycle; Land cover; Carbon cycle; Greenhouse gas; Vegetation (pathology); Global change; Climate model; Forcing (mathematics); Atmospheric sciences; Global warming; Context (archaeology); Radiative forcing; Transient climate simulation; Climate commitment; Effects of global warming; Land use; Ecosystem; Geology; Ecology; Oceanography","score_opus":0.014388780199529237,"score_gpt":0.24805268764324762,"score_spread":0.23366390744371837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2094842049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95431745,0.0041664685,0.029388435,0.004694296,0.0007936112,0.000044946366,0.0013261196,0.00026641387,0.0050022607],"genre_scores_gemma":[0.9889643,0.0013546476,0.006769393,0.00015524766,0.00016218444,0.000019199242,0.000418441,0.000057469417,0.0020989417],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996455,0.00019057332,0.000026792834,0.000066320106,0.00003662094,0.00003424497],"domain_scores_gemma":[0.99949944,0.00021922075,0.000056821067,0.000037982976,0.0000856011,0.0001009508],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014251582,0.0007082472,0.0006199639,0.0007538914,0.00053897646,0.00271214,0.0009266231,0.0014244011,0.003730421],"category_scores_gemma":[0.0030967204,0.0005921487,0.0007877883,0.0014029925,0.0006390763,0.0032322246,0.00093499286,0.000840943,0.000284939],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026758373,0.00023869968,0.09916161,0.00020078439,0.0011067961,0.00017095954,0.00014255883,0.8513845,0.0005997831,0.007873162,0.0022639043,0.036589563],"study_design_scores_gemma":[0.00005365476,0.00008312558,0.03177533,0.000039807936,0.00042587114,0.00007187837,0.0001586671,0.95558614,0.00032326038,0.0065294015,0.0049111093,0.000041737938],"about_ca_topic_score_codex":0.052634526,"about_ca_topic_score_gemma":0.11946295,"teacher_disagreement_score":0.052634526,"about_ca_system_score_codex":0.0014276664,"about_ca_system_score_gemma":0.002455136,"threshold_uncertainty_score":0.10465634},"labels":[],"label_agreement":null},{"id":"W2095338876","doi":"10.1007/s00382-012-1649-9","title":"Can added value be expected in RCM-simulated large scales?","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Université du Québec à Montréal","keywords":"Downscaling; Climatology; Climate model; Environmental science; Computer science; Meteorology; Precipitation; Climate change; Geology; Geography","score_opus":0.009657114053936667,"score_gpt":0.2318219093007958,"score_spread":0.22216479524685914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2095338876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8003814,0.0036023357,0.07571895,0.03752903,0.0031750372,0.00017697352,0.0049897595,0.002445893,0.071980536],"genre_scores_gemma":[0.9830325,0.0004669145,0.012651768,0.0010534159,0.0002249321,0.000050430324,0.0006853822,0.00036266557,0.0014720166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979717,0.00088256324,0.000091237285,0.00032547378,0.00051125314,0.00021778024],"domain_scores_gemma":[0.97803146,0.012857635,0.001572211,0.0045372923,0.0023924867,0.00060900254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006589856,0.00089203153,0.0008469582,0.00079689926,0.00051739597,0.0030737256,0.002864149,0.0029451293,0.0045339917],"category_scores_gemma":[0.060637675,0.00057959516,0.00096077746,0.0015441513,0.0015826209,0.0063687707,0.0016410806,0.00238842,0.00073320523],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015178239,0.00045223496,0.10383307,0.00070264464,0.00075772917,0.0011007707,0.0002911699,0.7124691,0.004478506,0.08951894,0.013440596,0.07143747],"study_design_scores_gemma":[0.00026056234,0.00022823957,0.04431161,0.00027689541,0.00024303347,0.00019106538,0.00029635502,0.83508044,0.005977585,0.09978271,0.013210136,0.00014134464],"about_ca_topic_score_codex":0.0068694586,"about_ca_topic_score_gemma":0.006193815,"teacher_disagreement_score":0.0068694586,"about_ca_system_score_codex":0.0015246077,"about_ca_system_score_gemma":0.00089336524,"threshold_uncertainty_score":0.034850955},"labels":[],"label_agreement":null},{"id":"W2103763883","doi":"10.1007/s00382-007-0288-z","title":"Evaluation of uncertainties in the CRCM-simulated North American climate","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"","keywords":"Downscaling; Climatology; Sensitivity (control systems); Climate model; Climate change; Environmental science; General Circulation Model; Magnitude (astronomy); Latitude; Meteorology; Precipitation; Geography; Geology; Physics; Geodesy","score_opus":0.025934524052361838,"score_gpt":0.29642636125755406,"score_spread":0.2704918372051922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103763883","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98566854,0.00023094135,0.006701915,0.0005125808,0.000051165072,0.000039306313,0.0014612775,0.00024113446,0.0050931927],"genre_scores_gemma":[0.99730444,0.00002228198,0.0019779024,0.000038010436,0.000008776499,0.000013413918,0.0003964835,0.000026083435,0.00021253657],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982559,0.0007997932,0.000077276614,0.00031353583,0.00042875134,0.00012480172],"domain_scores_gemma":[0.98616886,0.0100192735,0.00066157524,0.0008029496,0.0021222376,0.00022509907],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0055696,0.0005979095,0.00049361086,0.00067072304,0.00079369923,0.0012070293,0.0010861068,0.0015406236,0.00092648366],"category_scores_gemma":[0.020593613,0.00046869964,0.00063341175,0.0009179386,0.0006389789,0.0010835066,0.00058892806,0.0009855058,0.00012520922],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032113603,0.00006959986,0.013867535,0.000035109562,0.000067641704,0.000043599775,0.000036479352,0.9794453,0.00075866637,0.00089581654,0.0003709032,0.004088212],"study_design_scores_gemma":[0.00005967193,0.00008259588,0.011323149,0.000015050537,0.000047210684,0.000017491491,0.0000431872,0.9851826,0.002221848,0.0004716944,0.0005111461,0.000024258792],"about_ca_topic_score_codex":0.09805583,"about_ca_topic_score_gemma":0.071853,"teacher_disagreement_score":0.90194416,"about_ca_system_score_codex":0.0032874392,"about_ca_system_score_gemma":0.001996233,"threshold_uncertainty_score":0.19497019},"labels":[],"label_agreement":null},{"id":"W2105241189","doi":"10.1007/s00382-014-2225-2","title":"A record-breaking low ice cover over the Great Lakes during winter 2011/2012: combined effects of a strong positive NAO and La Niña","year":2014,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Arctic oscillation; Arctic ice pack; Environmental science; Arctic; Latitude; Advection; Atmospheric circulation; North Atlantic oscillation; Anomaly (physics); Geology; Oceanography; Sea ice; Northern Hemisphere","score_opus":0.0029089738429461756,"score_gpt":0.18680675723057866,"score_spread":0.1838977833876325,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105241189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998312,0.00009433581,0.000045370907,0.00047467608,0.000025741372,0.0000027956826,0.000423597,0.000011646357,0.0006098564],"genre_scores_gemma":[0.9990897,0.00004924949,0.000044873785,0.00008770783,0.000023476747,0.000003777604,0.00044560767,0.0000038665157,0.00025178984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998758,0.000015869788,0.000011650081,0.0000357294,0.000017552236,0.00004339471],"domain_scores_gemma":[0.9995734,0.00005690217,0.00013605582,0.000031067146,0.00007388048,0.00012866565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003697158,0.00024120726,0.00026538662,0.00032828463,0.00077007955,0.0012104408,0.00030803308,0.0007208844,0.0014032887],"category_scores_gemma":[0.00076748617,0.00029322575,0.00037613342,0.00048229564,0.0006304615,0.0005968468,0.00084950664,0.00050035544,0.00016329071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035424656,0.00006288435,0.9837908,0.00005811903,0.0002453916,0.0003693434,0.0006612298,0.0005205895,0.008849663,0.00016754931,0.0015153806,0.0034048473],"study_design_scores_gemma":[0.000004189807,0.000013128914,0.9986473,0.000004378528,0.000027798047,0.000030225414,0.00029674222,0.00045357546,0.00015442439,0.000021001506,0.00034297898,0.0000042192746],"about_ca_topic_score_codex":0.07076569,"about_ca_topic_score_gemma":0.16133931,"teacher_disagreement_score":0.07076569,"about_ca_system_score_codex":0.0007349429,"about_ca_system_score_gemma":0.0011523097,"threshold_uncertainty_score":0.14070755},"labels":[],"label_agreement":null},{"id":"W2109382923","doi":"10.1007/s00382-009-0610-z","title":"Unprecedented low twentieth century winter sea ice extent in the Western Nordic Seas since A.D. 1200","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":84,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Norsk Polarinstitutt; Koneen Säätiö; Norges Forskningsråd","keywords":"Arctic ice pack; Climatology; Sea ice; Geology; Arctic sea ice decline; North Atlantic oscillation; Ice core; Chronology; Oceanography; Antarctic sea ice; Paleontology","score_opus":0.007855552087118346,"score_gpt":0.2239057967564484,"score_spread":0.21605024466933004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2109382923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9819005,0.002851701,0.00036005658,0.0013290351,0.00016043741,0.0000040195946,0.00330513,0.000025372517,0.010063576],"genre_scores_gemma":[0.99269813,0.0012562881,0.0002391267,0.00020126543,0.0000456417,0.0000036148847,0.0022679663,0.000009359743,0.0032785945],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999354,0.0000036099925,0.000006877361,0.000020771002,0.000013146864,0.000020255484],"domain_scores_gemma":[0.9998221,0.000011101178,0.000059764643,0.000012196864,0.00006839782,0.000026479558],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026529934,0.000103669576,0.00010355991,0.0005340323,0.00047715814,0.0010830625,0.00011737925,0.0003264666,0.0012010605],"category_scores_gemma":[0.0005830562,0.00006674255,0.00009923597,0.00076531415,0.00031251332,0.0004732016,0.00039920319,0.00042344938,0.00022281773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035303563,0.00004733553,0.9002535,0.0001826808,0.00008896666,0.0006768811,0.001865145,0.0014602628,0.0061152163,0.006304964,0.008439759,0.07421223],"study_design_scores_gemma":[0.000004307377,0.000014776414,0.9787628,0.000046232766,0.000015633235,0.00011152946,0.00047310258,0.00017712556,0.00031647558,0.00030706762,0.01976505,0.0000058279193],"about_ca_topic_score_codex":0.076751165,"about_ca_topic_score_gemma":0.1768419,"teacher_disagreement_score":0.076751165,"about_ca_system_score_codex":0.0006630408,"about_ca_system_score_gemma":0.0010486325,"threshold_uncertainty_score":0.15260887},"labels":[],"label_agreement":null},{"id":"W2110562258","doi":"10.1007/s00382-013-1678-z","title":"Stochastic and deterministic multicloud parameterizations for tropical convection","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Stochastic modelling; Convection; Mesoscale meteorology; Robustness (evolution); Statistical physics; Computer science; Applied mathematics; Meteorology; Mathematics; Physics; Statistics","score_opus":0.012487084649864333,"score_gpt":0.2372401156745196,"score_spread":0.22475303102465527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2110562258","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":[0.40911475,0.0014263868,0.57944024,0.0014762095,0.0002079403,0.0000449636,0.000702631,0.00032547693,0.007261389],"genre_scores_gemma":[0.98663414,0.00026003688,0.011261118,0.00005739725,0.00008827226,0.000033704604,0.0001845713,0.00007520274,0.0014054686],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99965084,0.00014973938,0.00002324123,0.000060221224,0.000053263164,0.00006274295],"domain_scores_gemma":[0.99827623,0.0009911712,0.0002587499,0.00021933115,0.00015359563,0.00010093693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001348711,0.0004644545,0.0006106316,0.00051651715,0.00069251924,0.0011457894,0.0014729257,0.000957913,0.0013357226],"category_scores_gemma":[0.006972021,0.0004891572,0.00079988304,0.00063974963,0.0009171431,0.0020746535,0.0011955708,0.0013117952,0.00010168392],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022910755,0.000012315234,0.001008279,0.000012361112,0.000017460312,0.000014396855,0.000036676247,0.9581329,0.00026412896,0.03826812,0.0002680577,0.0019423655],"study_design_scores_gemma":[0.000004080472,0.0000016398252,0.00022181334,0.0000016698428,0.0000021776718,0.000003248824,0.0000036329523,0.9913857,0.00004085879,0.008213602,0.00011693993,0.0000045640754],"about_ca_topic_score_codex":0.01470038,"about_ca_topic_score_gemma":0.012657141,"teacher_disagreement_score":0.01470038,"about_ca_system_score_codex":0.0013974247,"about_ca_system_score_gemma":0.0008548383,"threshold_uncertainty_score":0.029229641},"labels":[],"label_agreement":null},{"id":"W2115038444","doi":"10.1007/s00382-002-0262-8","title":"Nonlinear canonical correlation analysis of the tropical Pacific wind stress and sea surface temperature","year":2002,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sea surface temperature; Climatology; Canonical correlation; Lag; Environmental science; Wind stress; Mathematics; Geology; Statistics; Computer science","score_opus":0.00880672785118018,"score_gpt":0.2134467195568222,"score_spread":0.20463999170564204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115038444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8807543,0.00028490476,0.1134154,0.00036437408,0.000075932265,0.00001564311,0.00034797113,0.00014850011,0.00459309],"genre_scores_gemma":[0.9942773,0.00024985615,0.0028951636,0.000019038394,0.000039020757,0.000011011979,0.00024265735,0.000052875,0.0022131202],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978477,0.00008581708,0.000007098244,0.000043642336,0.000036234287,0.000042451513],"domain_scores_gemma":[0.99841046,0.0006437645,0.00022672053,0.00017876123,0.00042341987,0.000116756375],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081157126,0.00039474343,0.00028826983,0.00050263345,0.00039457716,0.0008333832,0.00034071913,0.0003083219,0.0014210416],"category_scores_gemma":[0.0045741033,0.0003055764,0.0004757595,0.0006976484,0.0007215353,0.0009101467,0.00058531505,0.00058808585,0.00020865677],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016659664,0.000064319254,0.039098352,0.00005414329,0.00016874813,0.00018779273,0.00023902176,0.8255939,0.0032853417,0.10558812,0.0026687842,0.022884931],"study_design_scores_gemma":[0.0000019889183,0.000004884288,0.0071919975,0.0000022042248,0.000008113435,0.000010890232,0.000016753585,0.9873864,0.00016702243,0.004983851,0.00021306095,0.000012741664],"about_ca_topic_score_codex":0.02747321,"about_ca_topic_score_gemma":0.03206187,"teacher_disagreement_score":0.02747321,"about_ca_system_score_codex":0.0006768936,"about_ca_system_score_gemma":0.0017766022,"threshold_uncertainty_score":0.054626584},"labels":[],"label_agreement":null},{"id":"W2117232433","doi":"10.1007/s00382-008-0432-4","title":"An analysis on observed and simulated PNA associated atmospheric diabatic heating","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; Environment and Climate Change Canada","funders":"","keywords":"Diabatic; Troposphere; Rossby wave; Climatology; Latitude; Middle latitudes; Atmospheric sciences; Environmental science; Forcing (mathematics); Subtropics; Geology; Adiabatic process; Physics","score_opus":0.030615178090744943,"score_gpt":0.23493897440449632,"score_spread":0.2043237963137514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2117232433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916299,0.00005198799,0.0023466817,0.0000763385,0.000017731665,0.00002306898,0.0024105967,0.00013565856,0.003308045],"genre_scores_gemma":[0.9979609,0.00002577201,0.0007814289,0.00001043739,0.000006356162,0.000013954229,0.000906262,0.000025682355,0.0002692218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984956,0.000046578265,0.000007851092,0.0000442642,0.00002648953,0.00002529327],"domain_scores_gemma":[0.99888104,0.0007361876,0.000048554753,0.000094489915,0.00018553462,0.000054223234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005762231,0.00036750772,0.00031373187,0.00034988511,0.00040448416,0.00044691074,0.0005597363,0.0005190324,0.001974931],"category_scores_gemma":[0.0018638986,0.00023667791,0.00068934576,0.000614982,0.0002678314,0.00045588418,0.0002687669,0.0005051577,0.00018956535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006295838,0.00028999365,0.07905059,0.00014441852,0.00021190748,0.00019894756,0.000088169865,0.89615947,0.009326407,0.0016875687,0.0015823931,0.010630627],"study_design_scores_gemma":[0.000068989815,0.0000653322,0.08136203,0.000007048318,0.000049116697,0.000041775336,0.000044786222,0.91337425,0.0040431498,0.00025914752,0.00066808646,0.000016200798],"about_ca_topic_score_codex":0.023359591,"about_ca_topic_score_gemma":0.019473024,"teacher_disagreement_score":0.023359591,"about_ca_system_score_codex":0.0006635968,"about_ca_system_score_gemma":0.00043016183,"threshold_uncertainty_score":0.046447277},"labels":[],"label_agreement":null},{"id":"W2118507142","doi":"10.1007/s003820000055","title":"An assessment of the potential impact of a downward shift of tropospheric water vapor on climate sensitivity","year":2000,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Troposphere; Water vapor; Lapse rate; Atmospheric sciences; Environmental science; Precipitable water; Climatology; Latitude; Humidity; Relative humidity; Zonal and meridional; Meteorology; Geology; Geography","score_opus":0.005784276056702289,"score_gpt":0.27334889093107323,"score_spread":0.26756461487437094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118507142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864603,0.00022637738,0.0036638598,0.00078675104,0.000057499776,0.000024009852,0.0011070758,0.00008884006,0.0075851954],"genre_scores_gemma":[0.99836975,0.000121963894,0.0007054083,0.0000666837,0.000016717302,0.000011533052,0.00017521095,0.000016342728,0.0005165838],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998,0.000075582364,0.0000096515205,0.00003581457,0.000042144577,0.00003680044],"domain_scores_gemma":[0.9990558,0.00064032426,0.000047774156,0.00009204363,0.00011526585,0.000048765363],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006606602,0.0005828603,0.00034748772,0.00025448034,0.0003630235,0.0006195767,0.00062002067,0.0014115531,0.0030858286],"category_scores_gemma":[0.002304329,0.0002470625,0.0007906424,0.00043428116,0.0003341951,0.0007912593,0.00056986115,0.00063480693,0.00027083294],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022311218,0.00020011028,0.062078185,0.00026150123,0.0003379406,0.0004474075,0.00012897093,0.81497896,0.0921989,0.0068369866,0.0012816361,0.019018302],"study_design_scores_gemma":[0.0005971106,0.0012175504,0.15483552,0.000036367284,0.0005146426,0.00019455935,0.00028820834,0.77507824,0.050485536,0.011237731,0.005407131,0.00010747499],"about_ca_topic_score_codex":0.0117808515,"about_ca_topic_score_gemma":0.0058619278,"teacher_disagreement_score":0.0117808515,"about_ca_system_score_codex":0.0006165904,"about_ca_system_score_gemma":0.00036206434,"threshold_uncertainty_score":0.023424566},"labels":[],"label_agreement":null},{"id":"W2124647840","doi":"10.1007/s00382-007-0343-9","title":"The Influences of NAO and the Hudson Bay sea-ice on the climate of eastern Canada","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Climatology; North Atlantic oscillation; Bay; Precipitation; Sea ice; Environmental science; Arctic ice pack; Climate model; Climatic variability; Oceanography; Sea surface temperature; Geology; Climate change; Geography","score_opus":0.008416503936400168,"score_gpt":0.1853887407129689,"score_spread":0.17697223677656873,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124647840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888892,0.0010654132,0.000042369527,0.0013246567,0.000043147917,0.0000081175285,0.001108582,0.0000083981195,0.0075100786],"genre_scores_gemma":[0.9968359,0.00073805114,0.000044551496,0.00013130528,0.00001875807,0.0000020891412,0.00034323038,0.000008954271,0.0018772066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99965405,0.00004661226,0.000018987861,0.00004398244,0.00007089601,0.00016552137],"domain_scores_gemma":[0.9982836,0.00024370669,0.00015566408,0.000041812196,0.00072159927,0.0005535697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005437031,0.00024796138,0.00034272086,0.0010244299,0.0024500277,0.002835761,0.0005864252,0.00055881566,0.0033790492],"category_scores_gemma":[0.0021434226,0.00027321326,0.00043733753,0.001448538,0.0014892714,0.0006916282,0.001221549,0.0005961612,0.0002500456],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006179905,0.000045879344,0.9781763,0.00007157799,0.00028789978,0.00048421565,0.0012773026,0.0031354518,0.0020463346,0.0025368643,0.0025433043,0.008776748],"study_design_scores_gemma":[0.000016689459,0.000010312521,0.9924596,0.000024786534,0.00006848306,0.000036820697,0.0019637283,0.0010019676,0.00016556749,0.00023773898,0.003993325,0.000021050166],"about_ca_topic_score_codex":0.98748976,"about_ca_topic_score_gemma":0.9944865,"teacher_disagreement_score":0.021297473,"about_ca_system_score_codex":0.021297473,"about_ca_system_score_gemma":0.026521062,"threshold_uncertainty_score":0.15452468},"labels":[],"label_agreement":null},{"id":"W2125865615","doi":"10.1007/s00382-008-0419-1","title":"Seasonal to interannual climate predictability in mid and high northern latitudes in a global coupled model","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":71,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft; Deutsches Klimarechenzentrum","keywords":"Predictability; Climatology; Environmental science; Climate model; Sea surface temperature; Arctic; Arctic ice pack; Latitude; Sea ice; Advection; Oceanography; Climate change; Geology","score_opus":0.008516299035311441,"score_gpt":0.21644518869400015,"score_spread":0.2079288896586887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125865615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984768,0.000032945045,0.0007419422,0.000038888935,0.0000054682655,0.0000024056114,0.00013585693,0.000028943656,0.00053670665],"genre_scores_gemma":[0.99934405,0.000020791627,0.00033531323,0.0000072080566,0.0000033267013,0.0000042713614,0.00019238787,0.0000058293404,0.0000867606],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998864,0.000034827222,0.0000066188695,0.000031585354,0.000012481502,0.000028046445],"domain_scores_gemma":[0.99948394,0.00028331307,0.000067714995,0.00006050831,0.00004854622,0.000056035915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060733134,0.00041330507,0.00043850747,0.00018602931,0.00041003077,0.0006858256,0.00031713123,0.00038935454,0.00050978904],"category_scores_gemma":[0.0013857413,0.00022558683,0.00047055384,0.00025415493,0.00041211792,0.000621985,0.00041834838,0.0004718832,0.000047077654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002522129,0.000097332755,0.02833663,0.00002776826,0.000114916365,0.00010261835,0.00007020537,0.9625204,0.0041435696,0.0010602531,0.0004158244,0.0028582083],"study_design_scores_gemma":[0.000025783214,0.00006751219,0.01326597,0.0000028521933,0.000028418122,0.000008090935,0.000020051131,0.98534137,0.0005433896,0.0005887673,0.00009921066,0.000008608353],"about_ca_topic_score_codex":0.022397077,"about_ca_topic_score_gemma":0.016581347,"teacher_disagreement_score":0.022397077,"about_ca_system_score_codex":0.00050931645,"about_ca_system_score_gemma":0.00045837514,"threshold_uncertainty_score":0.04453343},"labels":[],"label_agreement":null},{"id":"W2129593253","doi":"10.1007/s00382-009-0731-4","title":"Sensitivity of Hudson Bay Sea ice and ocean climate to atmospheric temperature forcing","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Rimouski","funders":"ArcticNet","keywords":"Bay; Environmental science; Climatology; Sea ice; Oceanography; Meltwater; Climate change; Sea surface temperature; Forcing (mathematics); Climate model; Shore; Geology; Snow","score_opus":0.0038313834505906965,"score_gpt":0.19814688386993273,"score_spread":0.19431550041934204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129593253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980469,0.00007781956,0.00009236384,0.00024492788,0.00003614868,0.00000392776,0.0005809295,0.000015049896,0.00090192835],"genre_scores_gemma":[0.9990694,0.00005848213,0.00003976274,0.00005974574,0.000009492509,0.0000023203036,0.00030825278,0.0000053745116,0.00044718437],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978596,0.000058759855,0.000016359078,0.000051691517,0.000021164122,0.00006601296],"domain_scores_gemma":[0.99881446,0.00058412453,0.00012296093,0.00012074432,0.00016158825,0.00019614781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087472686,0.00023160072,0.00035991898,0.00041241618,0.0003193424,0.0014387812,0.00034586398,0.0005162391,0.0029648945],"category_scores_gemma":[0.0035676789,0.00036244025,0.0005586487,0.0003584486,0.0005787362,0.00050483254,0.0008494496,0.0004769151,0.00026659603],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011903967,0.0001018733,0.9000807,0.00008547055,0.0005798787,0.00056303415,0.00034178796,0.07308666,0.014872186,0.0009649914,0.0021430687,0.0059899795],"study_design_scores_gemma":[0.000066144385,0.000072624396,0.9634991,0.000013102603,0.000091401635,0.000070074115,0.0002956554,0.032609183,0.00197944,0.0003832609,0.0008949719,0.000025016621],"about_ca_topic_score_codex":0.16279215,"about_ca_topic_score_gemma":0.0953279,"teacher_disagreement_score":0.83720785,"about_ca_system_score_codex":0.0022408501,"about_ca_system_score_gemma":0.0011536891,"threshold_uncertainty_score":0.32368916},"labels":[],"label_agreement":null},{"id":"W2130468267","doi":"10.1007/s00382-012-1372-6","title":"Structure and variances of equatorial zonal circulation in a multimodel ensemble","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Climatology; Diabatic; Troposphere; Walker circulation; Atmospheric circulation; Environmental science; Atmospheric sciences; Forcing (mathematics); Zonal and meridional; Climate model; Circulation (fluid dynamics); Geology; Climate change; Sea surface temperature; Oceanography; Physics","score_opus":0.013601103739865268,"score_gpt":0.2400531325556383,"score_spread":0.22645202881577303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130468267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922931,0.00008777421,0.0062185894,0.00017791927,0.000030119776,0.000004189259,0.0004786758,0.00007484379,0.00063476805],"genre_scores_gemma":[0.9984939,0.000041994816,0.00081492466,0.0000124246235,0.000021558939,0.0000044187263,0.00040204928,0.000024719118,0.00018396575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982625,0.00005176128,0.000010586439,0.000060626207,0.000017379709,0.000033385317],"domain_scores_gemma":[0.9980387,0.0009772014,0.00024565714,0.00031596262,0.0002633783,0.0001591051],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012198037,0.0002536531,0.0002989233,0.0004834966,0.000383334,0.0007163849,0.00039211052,0.0005966665,0.0009412873],"category_scores_gemma":[0.0040776054,0.00037634754,0.00063141703,0.00045107902,0.00033165215,0.0010668173,0.00036228032,0.0006130435,0.000113841095],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024016124,0.00008831601,0.11807882,0.000024922416,0.0003398704,0.00011115937,0.000117499316,0.86091846,0.003455668,0.0053308327,0.0019120547,0.009382159],"study_design_scores_gemma":[0.000015492302,0.000014441241,0.044082813,0.0000044401895,0.00003130761,0.00001757694,0.000018338025,0.9535403,0.00038565838,0.0016799313,0.00019221284,0.00001739086],"about_ca_topic_score_codex":0.014926487,"about_ca_topic_score_gemma":0.014093876,"teacher_disagreement_score":0.014926487,"about_ca_system_score_codex":0.00055093813,"about_ca_system_score_gemma":0.00049960834,"threshold_uncertainty_score":0.029679239},"labels":[],"label_agreement":null},{"id":"W2132223955","doi":"10.1007/s00382-003-0342-4","title":"Current and perturbed climate as simulated by the second-generation Canadian Regional Climate Model (CRCM-II) over northwestern North America","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"University of East Anglia","keywords":"Climate model; Climatology; Climate change; Precipitation; Environmental science; Climate simulation; Greenhouse gas; Storm; Meteorology; Geography; Geology; Oceanography","score_opus":0.015991929476520634,"score_gpt":0.23516498552054962,"score_spread":0.21917305604402898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132223955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98791456,0.0002605788,0.00051889813,0.00073235395,0.00007677071,0.000024238343,0.006542285,0.00016235535,0.0037678366],"genre_scores_gemma":[0.9959418,0.00014056054,0.0004892729,0.00006685899,0.000010535237,0.000014210363,0.0025968181,0.000023576815,0.00071644224],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996879,0.000052672352,0.000016177111,0.00008447923,0.000066179884,0.000092562215],"domain_scores_gemma":[0.99903536,0.00011893754,0.00007877907,0.0000523625,0.00052207004,0.00019249048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006911857,0.0005067572,0.00045851764,0.0006787666,0.0014502475,0.0013791221,0.0015205309,0.0012383183,0.0013579774],"category_scores_gemma":[0.0024868406,0.00041523145,0.0005753554,0.0016655679,0.0010910669,0.00083520333,0.0005184477,0.001055479,0.0002049682],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044969324,0.00019330693,0.11366778,0.000090797745,0.0002592848,0.0002295246,0.00030758578,0.8659044,0.0017283831,0.0029132583,0.009108964,0.005146987],"study_design_scores_gemma":[0.00020780602,0.00004505411,0.17873305,0.00002886368,0.00013293218,0.000054024622,0.00042434552,0.81398904,0.000746448,0.0008332487,0.004686289,0.00011889743],"about_ca_topic_score_codex":0.9778041,"about_ca_topic_score_gemma":0.9778437,"teacher_disagreement_score":0.9778041,"about_ca_system_score_codex":0.018204866,"about_ca_system_score_gemma":0.012304314,"threshold_uncertainty_score":0.13208616},"labels":[],"label_agreement":null},{"id":"W2132549699","doi":"10.1007/s00382-008-0399-1","title":"The retrospective prediction of El Niño-southern oscillation from 1881 to 2000 by a hybrid coupled model: (I) Sea surface temperature assimilation with ensemble Kalman filter","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Data assimilation; Sea surface temperature; Ensemble Kalman filter; Climatology; Predictability; Environmental science; El Niño Southern Oscillation; Equator; Geology; Kalman filter; Meteorology; Physics; Mathematics; Extended Kalman filter; Geodesy; Statistics","score_opus":0.008702133089619743,"score_gpt":0.20299771960133045,"score_spread":0.1942955865117107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132549699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99225134,0.00013270142,0.0053924127,0.00013200328,0.00006979708,0.000004210294,0.0011203727,0.000088019224,0.00080903043],"genre_scores_gemma":[0.99642205,0.000052694453,0.0018440462,0.000010926695,0.000015244584,0.0000045208308,0.0012223637,0.000011271052,0.00041692777],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992347,0.00001109501,0.0000070527544,0.000035879642,0.000011903538,0.000010653749],"domain_scores_gemma":[0.9997551,0.000064236454,0.000050475,0.000023596274,0.00008871269,0.000017834042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039680282,0.00040804135,0.00021588046,0.000343502,0.0001982305,0.00043937864,0.00024040574,0.00034589876,0.00047515947],"category_scores_gemma":[0.0011341529,0.00031887784,0.00023710614,0.00031577903,0.00020281246,0.0005143123,0.00025531053,0.00031491736,0.00013596709],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004792939,0.000094630916,0.19786131,0.00005803377,0.00021920793,0.00013693578,0.00015004785,0.76444834,0.0047375136,0.0012087082,0.0025035178,0.028102493],"study_design_scores_gemma":[0.000053662032,0.000046457095,0.13479514,0.000012196834,0.000098387194,0.000027853728,0.000031268442,0.86135775,0.0018934523,0.0003978223,0.0012625802,0.000023446157],"about_ca_topic_score_codex":0.04519169,"about_ca_topic_score_gemma":0.063843906,"teacher_disagreement_score":0.04519169,"about_ca_system_score_codex":0.00056247425,"about_ca_system_score_gemma":0.0005499762,"threshold_uncertainty_score":0.08985734},"labels":[],"label_agreement":null},{"id":"W2132960716","doi":"10.1007/s00382-007-0297-y","title":"Future changes in internal variability of the Atlantic Meridional Overturning Circulation","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ocean gyre; Climatology; Convection; Forcing (mathematics); Geology; Shutdown of thermohaline circulation; Thermohaline circulation; Flux (metallurgy); Sea ice; Heat flux; Atmospheric sciences; Environmental science; North Atlantic Deep Water; Heat transfer; Mechanics; Meteorology; Geography","score_opus":0.008299402527947117,"score_gpt":0.22877789379204166,"score_spread":0.22047849126409455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132960716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945194,0.0000881107,0.0016888021,0.00040927206,0.000022435433,0.0000032356065,0.001051442,0.00006210427,0.0021552225],"genre_scores_gemma":[0.9988526,0.000050385064,0.0002679318,0.000021785327,0.000005900047,0.0000022604547,0.00045426656,0.0000059092995,0.00033891693],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999113,0.000016861515,0.0000040580367,0.000022999202,0.000013404255,0.00003144848],"domain_scores_gemma":[0.99958855,0.000090852765,0.000117821524,0.000041584208,0.00010655012,0.000054667613],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004312515,0.0002537438,0.0001520097,0.00017015755,0.00022809157,0.00078337267,0.0002484065,0.00048375363,0.0015074823],"category_scores_gemma":[0.0016547344,0.00013815156,0.0003794473,0.00026996364,0.0001826494,0.00041835918,0.00022558834,0.0003493843,0.00021970522],"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":[0.0005219491,0.00018556914,0.72210944,0.00009120528,0.00035685027,0.000415339,0.0003631362,0.20664719,0.026828477,0.0072888946,0.004022384,0.031169659],"study_design_scores_gemma":[0.000042951287,0.0001756412,0.7423286,0.00002016164,0.00014202928,0.00020210783,0.00022111884,0.24375567,0.0045311097,0.003110648,0.0054335347,0.000036327692],"about_ca_topic_score_codex":0.009208165,"about_ca_topic_score_gemma":0.012544188,"teacher_disagreement_score":0.009208165,"about_ca_system_score_codex":0.00079953676,"about_ca_system_score_gemma":0.0002538452,"threshold_uncertainty_score":0.018309176},"labels":[],"label_agreement":null},{"id":"W2139199775","doi":"10.1007/s00382-010-0904-1","title":"Pollen-based continental climate reconstructions at 6 and 21 ka: a global synthesis","year":2010,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":802,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"Natural Sciences and Engineering Research Council of Canada; Natural Environment Research Council; Sight Research UK; Canadian Foundation for Climate and Atmospheric Sciences; National Science Foundation","keywords":"Climatology; Last Glacial Maximum; Paleoclimatology; Climate model; Climate change; Subfossil; Holocene; Geology; Orbital forcing; Interglacial; Climate pattern; Environmental science; Glacial period; Oceanography; Geomorphology","score_opus":0.0074818708243796815,"score_gpt":0.22713170712148956,"score_spread":0.21964983629710988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139199775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68588364,0.076752335,0.024124544,0.00084591424,0.00021268796,0.00012957695,0.19430365,0.001027046,0.016720578],"genre_scores_gemma":[0.8277126,0.040541865,0.024277974,0.00016465533,0.00012920679,0.00012439972,0.104907654,0.00029388643,0.0018478258],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99963486,0.00006192251,0.000079774625,0.00014524361,0.000054811935,0.000023381228],"domain_scores_gemma":[0.998228,0.0006785716,0.00033916853,0.00032674492,0.00037100265,0.000056469355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012215112,0.0009825049,0.0006287927,0.0047657457,0.00023218863,0.0010390843,0.0005397777,0.00045403992,0.0031797423],"category_scores_gemma":[0.002733373,0.00056351663,0.0007534134,0.007534159,0.00032527826,0.0010095282,0.0006412651,0.00040245953,0.00068078755],"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":[0.0005946214,0.00012854415,0.3165237,0.007887365,0.0062214164,0.0007321708,0.0012713912,0.08337196,0.009187058,0.005288231,0.018068915,0.5507246],"study_design_scores_gemma":[0.000038146405,0.000107532716,0.86634946,0.0014860426,0.002264731,0.0004469204,0.00040430724,0.0137219,0.0028777537,0.0016038938,0.11059115,0.000108087515],"about_ca_topic_score_codex":0.013544988,"about_ca_topic_score_gemma":0.017114908,"teacher_disagreement_score":0.013544988,"about_ca_system_score_codex":0.000788219,"about_ca_system_score_gemma":0.0007075445,"threshold_uncertainty_score":0.0269323},"labels":[],"label_agreement":null},{"id":"W2139904801","doi":"10.1007/s00382-008-0522-3","title":"North Atlantic warming: patterns of long-term trend and multidecadal variability","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Japan Agency for Marine-Earth Science and Technology; Canadian Institute for Advanced Research; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Atlantic multidecadal oscillation; Thermohaline circulation; Climatology; Atlantic Equatorial mode; Global warming; North Atlantic Deep Water; Climate change; Tropical Atlantic; Environmental science; North Atlantic oscillation; Shutdown of thermohaline circulation; Abrupt climate change; Sea surface temperature; Latitude; Gulf Stream; Oceanography; Effects of global warming; Geology","score_opus":0.01223251049503177,"score_gpt":0.24177197404274892,"score_spread":0.22953946354771715,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139904801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642307,0.0010833188,0.00059250346,0.00012890292,0.000010429419,0.0000029167059,0.00049993506,0.000019366562,0.0012395238],"genre_scores_gemma":[0.9991159,0.0002324157,0.0001829953,0.000020822255,0.000010303636,0.0000027301842,0.00023606783,0.0000032935004,0.00019547208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999931,0.000010690511,0.0000081387925,0.000025380436,0.000013159287,0.000011739773],"domain_scores_gemma":[0.99967325,0.00006216572,0.00015180696,0.00003116551,0.00005574992,0.0000258938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031619865,0.000077443445,0.00010498584,0.0005442828,0.00012429574,0.00032970074,0.00006602922,0.00015028456,0.0007388474],"category_scores_gemma":[0.00051412726,0.000053175998,0.0001882781,0.00071239035,0.000098073026,0.00024805102,0.00024315355,0.00014348298,0.00009582294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022524117,0.0000069367748,0.9774203,0.0000329747,0.00011702572,0.000035172292,0.00016215153,0.0004278731,0.0053374846,0.00010960928,0.00020079146,0.016127117],"study_design_scores_gemma":[3.1629577e-7,0.0000033168335,0.99929166,0.0000023762375,0.000006686515,0.000012908793,0.000029291912,0.0003044882,0.000060652124,0.000021355505,0.00026560418,0.0000012903901],"about_ca_topic_score_codex":0.006280774,"about_ca_topic_score_gemma":0.020418083,"teacher_disagreement_score":0.006280774,"about_ca_system_score_codex":0.00019197693,"about_ca_system_score_gemma":0.00011953279,"threshold_uncertainty_score":0.012488425},"labels":[],"label_agreement":null},{"id":"W2141558543","doi":"10.1007/s00382-005-0078-4","title":"Intermittent ice sheet discharge events in northeastern North America during the last glacial period","year":2005,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Ice sheet; Geology; Ice stream; Ice-sheet model; Climatology; Ice shelf; Ice divide; Iceberg; Greenland ice sheet; Oceanography; Antarctic ice sheet; Antarctic sea ice; Cryosphere; Sea ice","score_opus":0.008329513695517278,"score_gpt":0.2286893459515031,"score_spread":0.22035983225598582,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2141558543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890053,0.00018435968,0.000023057546,0.0001119756,0.00000933864,0.0000021504181,0.00036036575,0.0000027978888,0.00040545227],"genre_scores_gemma":[0.99909306,0.00015705051,0.000034705597,0.00003594992,0.00001638626,0.000003883462,0.00046990762,0.0000015104334,0.00018749542],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990225,0.000014820619,0.000013974775,0.000026344022,0.000018243047,0.00002440477],"domain_scores_gemma":[0.99929893,0.00013918364,0.00028397577,0.000025707619,0.00012321945,0.00012897339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025478916,0.00012790557,0.0002517567,0.00088890665,0.0008451786,0.0009068288,0.00023213903,0.0004540916,0.00092713576],"category_scores_gemma":[0.0011264939,0.00018917334,0.00015811958,0.0012251543,0.00057344633,0.0005953724,0.0006812513,0.00036854696,0.00009335971],"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":[0.0001386107,0.00003581963,0.9933715,0.00002757314,0.000066431916,0.00016787674,0.001036768,0.00027248278,0.0007497084,0.000080814745,0.00043703002,0.0036154592],"study_design_scores_gemma":[0.0000025095935,0.00000566674,0.9991667,0.0000051367365,0.0000068923946,0.00002652681,0.00036514114,0.00014380686,0.00001640456,0.000015813468,0.00024379227,0.0000014765808],"about_ca_topic_score_codex":0.09224935,"about_ca_topic_score_gemma":0.29153708,"teacher_disagreement_score":0.90775067,"about_ca_system_score_codex":0.0010281511,"about_ca_system_score_gemma":0.0007668648,"threshold_uncertainty_score":0.18342477},"labels":[],"label_agreement":null},{"id":"W2143473647","doi":"10.1007/s00382-009-0595-7","title":"Further analysis of singular vector and ENSO predictability in the Lamont model—Part I: singular vector and the control factors","year":2009,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Perturbation (astronomy); Nonlinear system; Predictability; Mathematics; Singular value; Advection; Singular perturbation; Control theory (sociology); Climatology; Mathematical analysis; Physics; Geology; Statistics; Computer science; Eigenvalues and eigenvectors","score_opus":0.009012379565593025,"score_gpt":0.21990975851184047,"score_spread":0.21089737894624744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143473647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92701185,0.00032339568,0.06395201,0.00091609894,0.00006791075,0.000019675557,0.0002860139,0.00031681143,0.0071062967],"genre_scores_gemma":[0.994686,0.0000796138,0.0027985505,0.000030819836,0.000023093779,0.000007037706,0.00015734996,0.00005163222,0.002165962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990106,0.000023507802,0.0000041586,0.000016583903,0.000027691802,0.000026976179],"domain_scores_gemma":[0.9996699,0.00016689142,0.000035006342,0.00004202612,0.000059150912,0.000027083612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030758264,0.0004911881,0.0005138889,0.0003580519,0.00054684695,0.00076745,0.00042252216,0.0003161028,0.0032971373],"category_scores_gemma":[0.002002954,0.00017046287,0.0007129656,0.00041422923,0.0003790498,0.00081192626,0.00037795503,0.0007086914,0.00014630763],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021507892,0.000103242455,0.009995687,0.000031400028,0.000110720954,0.00030232052,0.00007527764,0.9392628,0.016532449,0.01593614,0.0020449993,0.015389818],"study_design_scores_gemma":[0.0000036882766,0.000010594935,0.0030365845,0.0000010925403,0.0000064956484,0.0000065064983,0.000012085921,0.9936667,0.0013432709,0.0017194458,0.00018529236,0.00000824509],"about_ca_topic_score_codex":0.037900712,"about_ca_topic_score_gemma":0.01990802,"teacher_disagreement_score":0.037900712,"about_ca_system_score_codex":0.00071359985,"about_ca_system_score_gemma":0.0008765086,"threshold_uncertainty_score":0.07536024},"labels":[],"label_agreement":null},{"id":"W2143847257","doi":"10.1007/s00382-006-0220-y","title":"Northern Hemisphere circulation regimes: observed, simulated and predicted","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Institute for Advanced Research; University of Victoria; Environment and Climate Change Canada","funders":"","keywords":"Extratropical cyclone; Climatology; Northern Hemisphere; Atmospheric circulation; Environmental science; Atmospheric sciences; General Circulation Model; Circulation (fluid dynamics); Residence time (fluid dynamics); Climate model; Climate change; Atmosphere (unit); Southern Hemisphere; Greenhouse gas; Residence; Atmospheric dynamics; Geology; Meteorology; Geography; Physics; Oceanography","score_opus":0.014945042725422181,"score_gpt":0.2261536839203335,"score_spread":0.2112086411949113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143847257","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907727,0.00034022113,0.0007928913,0.00021348298,0.000036382567,0.000006679712,0.005059961,0.00018941794,0.002588272],"genre_scores_gemma":[0.9969682,0.000111739166,0.00039755576,0.000011429699,0.00001652224,0.0000059987174,0.0020029144,0.000012357426,0.00047329563],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984646,0.000050889845,0.000009933278,0.00004826722,0.000025810805,0.000018577603],"domain_scores_gemma":[0.99949145,0.00018235073,0.00011848104,0.000063413725,0.00008788186,0.00005636381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066594186,0.00020110558,0.00022940214,0.0003173611,0.00022931576,0.00073971075,0.00026118036,0.0003050306,0.001685598],"category_scores_gemma":[0.0018269863,0.00017303786,0.00031411918,0.00079187594,0.00023600999,0.00061700394,0.00015507136,0.0002941545,0.0003077692],"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":[0.00072608294,0.00017429994,0.69279665,0.00016162627,0.0005388817,0.00031099303,0.00048600684,0.26321518,0.002913131,0.0017922837,0.013092195,0.023792615],"study_design_scores_gemma":[0.0001285329,0.00006493889,0.78269064,0.000027260894,0.000116512485,0.00013177059,0.00020824923,0.21039535,0.0010500614,0.0011486316,0.004008048,0.000029946861],"about_ca_topic_score_codex":0.037415393,"about_ca_topic_score_gemma":0.05809619,"teacher_disagreement_score":0.037415393,"about_ca_system_score_codex":0.0010405941,"about_ca_system_score_gemma":0.00043895116,"threshold_uncertainty_score":0.07439518},"labels":[],"label_agreement":null},{"id":"W2147133518","doi":"10.1007/s00382-007-0333-y","title":"European storminess: late nineteenth century to present","year":2007,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":168,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Geostrophic wind; Storm; Western europe; Geography; Atmospheric circulation; Period (music); Physical geography; Geology; Meteorology; European union","score_opus":0.010702632256658219,"score_gpt":0.23854327529570274,"score_spread":0.22784064303904453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147133518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7082916,0.09285441,0.00643773,0.014356727,0.0010958663,0.00002547647,0.001995777,0.00012749368,0.17481494],"genre_scores_gemma":[0.9637903,0.02127246,0.0005408985,0.00046888043,0.0004593839,0.0000072947128,0.00046865668,0.000028045135,0.012964101],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9998293,0.000022950782,0.000019163042,0.0000486352,0.000034656598,0.000045256795],"domain_scores_gemma":[0.99969816,0.00005898055,0.00009973077,0.000022387794,0.000077498386,0.000043235123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051408634,0.00027959025,0.00017096731,0.0013311786,0.0007201919,0.002076974,0.00020079862,0.000571918,0.0040990845],"category_scores_gemma":[0.0011761822,0.00011381928,0.00013277099,0.0022113253,0.00126113,0.0016172373,0.00074188755,0.00079842826,0.00025326526],"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":[0.000527398,0.000110753885,0.14423044,0.0007381392,0.00023070765,0.0021685292,0.02195971,0.0071374276,0.0031750517,0.3817225,0.030735718,0.4072637],"study_design_scores_gemma":[0.000017922845,0.000058564437,0.40076762,0.00038130983,0.0000395709,0.0011024458,0.0026026824,0.00073817855,0.00087509473,0.017837917,0.5755409,0.000037608344],"about_ca_topic_score_codex":0.016990373,"about_ca_topic_score_gemma":0.02824182,"teacher_disagreement_score":0.016990373,"about_ca_system_score_codex":0.0022571052,"about_ca_system_score_gemma":0.00072957325,"threshold_uncertainty_score":0.03378296},"labels":[],"label_agreement":null},{"id":"W2147270337","doi":"10.1007/s00382-013-1674-3","title":"Spring-summer temperatures since AD 1780 reconstructed from stable oxygen isotope ratios in white spruce tree-rings from the Mackenzie Delta, northwestern Canada","year":2013,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo; Aboriginal Affairs Northern Dev Canada; Carleton University; Brock University; University of Alberta","funders":"Aboriginal Affairs and Northern Development Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"δ18O; Climatology; Dendrochronology; Environmental science; Precipitation; Isotopes of oxygen; Proxy (statistics); Seasonality; Atmospheric sciences; Stable isotope ratio; Geology; Geography; Meteorology","score_opus":0.008954489779198445,"score_gpt":0.19482607965529988,"score_spread":0.18587158987610145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147270337","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99835324,0.00012642036,0.00002928945,0.00003172658,0.0000023276266,0.0000016090695,0.0010381897,0.000005097875,0.00041211277],"genre_scores_gemma":[0.99808925,0.000075806085,0.00005113848,0.000012372868,0.0000016270335,0.0000018929783,0.0013245154,0.0000046701994,0.0004386996],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998435,0.000009036643,0.000009820726,0.000049130937,0.000023346487,0.00006515306],"domain_scores_gemma":[0.99950683,0.00002985346,0.000074134994,0.000016797825,0.00025530404,0.00011704801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002930385,0.0002660552,0.00025569712,0.0010507571,0.0009933459,0.0008669193,0.0006602637,0.00029035955,0.001109203],"category_scores_gemma":[0.0005601296,0.00022818576,0.0002910308,0.0013241804,0.00042937053,0.00030209712,0.00047357733,0.00027186883,0.00023764434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011169727,0.000018388784,0.9927839,0.000015387735,0.00008844278,0.00006246778,0.0007652103,0.00047831552,0.0017263589,0.00007461684,0.0004935393,0.003381688],"study_design_scores_gemma":[0.0000018753436,0.0000018932939,0.9990138,0.000004474357,0.000010791219,0.000008190406,0.0003571045,0.00021234222,0.000056855184,0.000006097021,0.00032330156,0.0000032159824],"about_ca_topic_score_codex":0.97278214,"about_ca_topic_score_gemma":0.990352,"teacher_disagreement_score":0.027217865,"about_ca_system_score_codex":0.008634866,"about_ca_system_score_gemma":0.004578706,"threshold_uncertainty_score":0.06265062},"labels":[],"label_agreement":null},{"id":"W2147369516","doi":"10.1007/s00382-015-2604-3","title":"Energy cycle associated with inter-member variability in a large ensemble of simulations with the Canadian RCM (CRCM5)","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Compute Canada; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Ensemble forecasting; Energetics; Ensemble average; Kinetic energy; Environmental science; Potential energy; Atmosphere (unit); Meteorology; Climatology; Statistical physics; Physics; Geology; Thermodynamics","score_opus":0.015384567023844487,"score_gpt":0.23109387918845412,"score_spread":0.21570931216460962,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147369516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954352,0.00012425933,0.0016283531,0.00012267283,0.000020238267,0.000016651547,0.0006162936,0.000068278365,0.0019678895],"genre_scores_gemma":[0.99716777,0.000047707978,0.0018051543,0.000020646043,0.000003877405,0.000012380132,0.0006701776,0.000017699978,0.0002544514],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997477,0.000042349577,0.000009945747,0.00006442573,0.000076033284,0.000059555492],"domain_scores_gemma":[0.9994665,0.00015470591,0.000053945754,0.000070808856,0.0001908615,0.00006322616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00087123446,0.0005401392,0.00045796504,0.00048255178,0.0011094317,0.0008451452,0.001104676,0.0006982367,0.0005391907],"category_scores_gemma":[0.0022042843,0.00028131437,0.00069935183,0.0009867563,0.0006727454,0.0005891165,0.0005012536,0.0007734217,0.000058735426],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013807522,0.00007599922,0.041785117,0.000031746094,0.0001615139,0.00013011876,0.00012029497,0.9473704,0.0019104573,0.0021164427,0.0010809175,0.0050789705],"study_design_scores_gemma":[0.000032001222,0.000029411683,0.040518288,0.000005931758,0.00005507795,0.000018259152,0.00006249208,0.9566292,0.0012326333,0.00049140985,0.00088941125,0.00003586692],"about_ca_topic_score_codex":0.7763473,"about_ca_topic_score_gemma":0.72379977,"teacher_disagreement_score":0.22365272,"about_ca_system_score_codex":0.007468681,"about_ca_system_score_gemma":0.0052096276,"threshold_uncertainty_score":0.44993967},"labels":[],"label_agreement":null},{"id":"W2167564736","doi":"10.1007/s00382-008-0400-z","title":"Regional climate model sensitivity to domain size","year":2008,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":157,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Université du Québec à Montréal","funders":"","keywords":"Scale (ratio); Sensitivity (control systems); Inflow; Filter (signal processing); Environmental science; Boundary (topology); Grid; Climate model; Transient (computer programming); Domain (mathematical analysis); Large eddy simulation; Meteorology; Computer science; Climatology; Geology; Climate change; Mathematics; Physics; Geodesy; Mathematical analysis","score_opus":0.020998183350971093,"score_gpt":0.23766021504471993,"score_spread":0.21666203169374884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167564736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97958606,0.00041768904,0.010946141,0.0008652085,0.00008720714,0.000018135626,0.0026044792,0.00053968764,0.0049352897],"genre_scores_gemma":[0.997338,0.00010019405,0.0011681636,0.00006175355,0.000008228413,0.000009938185,0.0009037804,0.00013427445,0.0002757359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99939644,0.00032129127,0.000025668527,0.00013634721,0.00005795635,0.000062346546],"domain_scores_gemma":[0.99223304,0.0055454387,0.00035912805,0.0010171855,0.0006362787,0.00020893985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025009196,0.00044946236,0.00056506105,0.00042545144,0.00046885447,0.00093137944,0.0007172768,0.0009688704,0.0021563258],"category_scores_gemma":[0.013243133,0.00053397956,0.00075436005,0.0007078909,0.0005789939,0.0014610437,0.0006565633,0.001373989,0.00028144286],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013031544,0.000030252313,0.009495545,0.000029363637,0.0001043774,0.00003407333,0.000034828103,0.9835893,0.002266585,0.0013576268,0.0010404864,0.0018872541],"study_design_scores_gemma":[0.00003099134,0.000032727265,0.008107371,0.000009579607,0.000056144887,0.000026422134,0.00003133797,0.9865519,0.0028037757,0.0017250456,0.0006016472,0.000023100452],"about_ca_topic_score_codex":0.031510342,"about_ca_topic_score_gemma":0.017159514,"teacher_disagreement_score":0.031510342,"about_ca_system_score_codex":0.0011274511,"about_ca_system_score_gemma":0.00067928265,"threshold_uncertainty_score":0.0626539},"labels":[],"label_agreement":null},{"id":"W2168046708","doi":"10.1007/s00382-012-1288-1","title":"Wind-stress feedback amplification of abrupt millennial-scale climate changes","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of New South Wales; University of Victoria","keywords":"Wind stress; Stadial; Climatology; Geology; Glacial period; Advection; Climate model; Amplitude; Convection; Thermohaline circulation; Atmospheric sciences; Climate change; Oceanography; Meteorology; Geomorphology; Geography; Physics","score_opus":0.018524906966001387,"score_gpt":0.253374928421386,"score_spread":0.23485002145538458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2168046708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950492,0.00016213462,0.001198375,0.00038185326,0.000047797457,0.0000062054773,0.00022530525,0.00015047705,0.002778708],"genre_scores_gemma":[0.9994918,0.000049829312,0.00012501453,0.000026417623,0.000018268143,0.0000015914266,0.00004277356,0.000015592452,0.00022877891],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999131,0.000012326421,0.000007358098,0.000024680003,0.000013233289,0.000029245322],"domain_scores_gemma":[0.99956256,0.00017024188,0.0000815116,0.000046338966,0.00006808178,0.00007133719],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029082247,0.00028286778,0.00027008823,0.0002933496,0.00040578377,0.0007827157,0.00023142569,0.00046196283,0.0043935776],"category_scores_gemma":[0.0017653089,0.00039614012,0.00032333136,0.00021869762,0.00026590837,0.0007445481,0.00077009684,0.0004406197,0.0003145207],"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":[0.0014603018,0.00045826763,0.2555654,0.0004214442,0.00061746273,0.0016455029,0.0009946985,0.119949356,0.5160249,0.012911575,0.0048921145,0.085059],"study_design_scores_gemma":[0.00011761969,0.00013849275,0.86757374,0.000024735584,0.00014660682,0.00025336753,0.00032968013,0.1139565,0.007282684,0.0075387103,0.0025772504,0.00006056177],"about_ca_topic_score_codex":0.0017220065,"about_ca_topic_score_gemma":0.0022587841,"teacher_disagreement_score":0.0043935776,"about_ca_system_score_codex":0.0003409534,"about_ca_system_score_gemma":0.00026923622,"threshold_uncertainty_score":0.014697969},"labels":[],"label_agreement":null},{"id":"W2170460401","doi":"10.1007/s00382-005-0095-3","title":"Evaluation of an ensemble of Arctic regional climate models: spatiotemporal fields during the SHEBA year","year":2006,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Climatology; Climate model; Geopotential height; Environmental science; Cloud cover; Arctic; Shortwave radiation; Geopotential; Forcing (mathematics); Baroclinity; Climate change; Meteorology; Atmospheric sciences; Geology; Radiation; Cloud computing; Geography; Precipitation; Oceanography","score_opus":0.023169295810945515,"score_gpt":0.23440399049672958,"score_spread":0.21123469468578407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170460401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933744,0.000112474765,0.0017899708,0.0002645592,0.000067983696,0.00003738706,0.0027459126,0.00035738852,0.001249759],"genre_scores_gemma":[0.99030846,0.00008868172,0.0037805995,0.0000518713,0.000023887605,0.00003530726,0.0052524554,0.00008912694,0.00036961117],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99929714,0.00030986976,0.000052483472,0.00017084814,0.00009079459,0.00007885971],"domain_scores_gemma":[0.9972626,0.0010438927,0.00015739792,0.00036458552,0.00085521076,0.00031632662],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0049152635,0.00095228665,0.0010328159,0.0008292759,0.0012046059,0.0012926698,0.0014147655,0.0012416969,0.00094622513],"category_scores_gemma":[0.0068170363,0.00073337334,0.00085355225,0.0010570211,0.0005042987,0.0016999397,0.0008076317,0.00085278525,0.0002561578],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012681477,0.0007972383,0.06677357,0.00007057928,0.00075884,0.0001256189,0.00020372681,0.8995466,0.0028888572,0.0005129718,0.0028263272,0.024227433],"study_design_scores_gemma":[0.00024399263,0.00021277175,0.022848636,0.000013026157,0.0001983109,0.000021434435,0.0001591538,0.97315603,0.0018760458,0.00018905371,0.0010450614,0.000036353984],"about_ca_topic_score_codex":0.24625479,"about_ca_topic_score_gemma":0.25285572,"teacher_disagreement_score":0.24625479,"about_ca_system_score_codex":0.0025387795,"about_ca_system_score_gemma":0.0031144,"threshold_uncertainty_score":0.48964286},"labels":[],"label_agreement":null},{"id":"W2178441958","doi":"10.1007/s00382-015-2876-7","title":"Evolution of the deep Atlantic water masses since the last glacial maximum based on a transient run of NCAR-CCSM3","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Division of Ocean Sciences; Fundação de Amparo à Pesquisa do Estado de São Paulo","keywords":"North Atlantic Deep Water; Antarctic Bottom Water; Geology; Deglaciation; Oceanography; Circumpolar deep water; Water mass; Meltwater; Glacial period; Thermohaline circulation; Antarctic Intermediate Water; Climatology; Geomorphology; Holocene","score_opus":0.013591621391873681,"score_gpt":0.22230417314922316,"score_spread":0.20871255175734948,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178441958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99034727,0.000112182286,0.0002533106,0.00022386518,0.000045839955,0.0000045489837,0.007558571,0.000084248444,0.0013701123],"genre_scores_gemma":[0.9905695,0.00005517104,0.0002544984,0.000039249368,0.000014912007,0.000005739942,0.008536518,0.00002411911,0.00050050346],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986255,0.000015199268,0.000011316356,0.00005808815,0.00002108978,0.000031754156],"domain_scores_gemma":[0.99916494,0.00021586897,0.00016572635,0.000070738235,0.00018729373,0.0001955902],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000503751,0.00030721308,0.00028501533,0.0007520198,0.0004145083,0.0008645354,0.00051058707,0.0006945242,0.0027564988],"category_scores_gemma":[0.0013568702,0.0002847421,0.000787547,0.0010254541,0.0003008076,0.00048120707,0.00054637465,0.0006171645,0.00035818625],"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":[0.0009785998,0.00020091106,0.9359929,0.00009070084,0.0008620138,0.00030533804,0.00025821515,0.03562555,0.0067626047,0.0015153954,0.008743407,0.008664426],"study_design_scores_gemma":[0.000061582046,0.000048951897,0.96697104,0.000018434697,0.00011298557,0.000057585225,0.00012828253,0.030125944,0.00062376476,0.00017487803,0.0016475834,0.00002888239],"about_ca_topic_score_codex":0.11242003,"about_ca_topic_score_gemma":0.17835958,"teacher_disagreement_score":0.11242003,"about_ca_system_score_codex":0.0009737103,"about_ca_system_score_gemma":0.00095566316,"threshold_uncertainty_score":0.2235313},"labels":[],"label_agreement":null},{"id":"W2193083289","doi":"10.1007/s00382-015-2807-7","title":"Evaluation of extreme rainfall and temperature over North America in CanRCM4 and CRCM5","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Environmental science; Climate model; Precipitation; Annual cycle; Latitude; Cloud cover; Climate change; Atmospheric sciences; Meteorology; Geology; Geography","score_opus":0.0383911025853762,"score_gpt":0.2637896513508978,"score_spread":0.22539854876552162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2193083289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976656,0.00046727364,0.0026120641,0.0005320253,0.000077608835,0.00016825701,0.0069914465,0.0016873305,0.010807899],"genre_scores_gemma":[0.98364115,0.00018422682,0.0072759907,0.00012919855,0.000017165501,0.00007882083,0.0071062124,0.000119054166,0.0014482577],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911076,0.00013726063,0.0000357677,0.00020476051,0.0002933185,0.00021813529],"domain_scores_gemma":[0.997897,0.00024657795,0.00013503707,0.0001580126,0.0012944589,0.00026878566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022890184,0.0013726477,0.0006782441,0.0010677035,0.0015496992,0.0012007373,0.0029530774,0.0009101758,0.0018680203],"category_scores_gemma":[0.0034220323,0.00061798265,0.0011333115,0.0016041358,0.00052789715,0.00073181017,0.0008577654,0.0006151983,0.00028037027],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007807999,0.00026187365,0.11890581,0.00025254037,0.0004925923,0.00022432268,0.0003224477,0.8450215,0.0025566956,0.0018220599,0.0071011432,0.022258269],"study_design_scores_gemma":[0.00036720795,0.0001397271,0.07196128,0.00004297083,0.00018761925,0.000042232394,0.00023458,0.9179684,0.001891485,0.0002663621,0.006768593,0.0001296403],"about_ca_topic_score_codex":0.9725026,"about_ca_topic_score_gemma":0.96546936,"teacher_disagreement_score":0.02749741,"about_ca_system_score_codex":0.01859257,"about_ca_system_score_gemma":0.015131985,"threshold_uncertainty_score":0.13489914},"labels":[],"label_agreement":null},{"id":"W2198073985","doi":"10.1007/s00382-015-2936-z","title":"Stochasticity of convection in Giga-LES data","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Convection; Meteorology; Bayesian inference; Cloud computing; Bayesian probability; Climatology; Statistical inference; Climate model; Computer science; Geology; Mathematics; Climate change; Artificial intelligence; Geography; Statistics","score_opus":0.08120373751096692,"score_gpt":0.292178808799192,"score_spread":0.21097507128822507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2198073985","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793148,0.00023356578,0.012823426,0.0011250745,0.000106188694,0.000023816234,0.0037016002,0.0007265946,0.001944812],"genre_scores_gemma":[0.99717784,0.000046591784,0.0008221932,0.000040049195,0.000031237374,0.000008732757,0.0016388998,0.00005632614,0.00017808191],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99940753,0.00019013572,0.000053742933,0.00015667891,0.000103826926,0.000088149456],"domain_scores_gemma":[0.99632436,0.0020481856,0.00035495436,0.00067342795,0.00041377934,0.00018523543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021875915,0.0003002274,0.00043202838,0.0005996127,0.00037562332,0.0011770031,0.00066303794,0.0010139806,0.0010573303],"category_scores_gemma":[0.010337661,0.00041054984,0.00044905982,0.00097635,0.00066115725,0.0013842237,0.00058291253,0.0010026648,0.00019257203],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002293445,0.000104287225,0.088554,0.000076091135,0.0001122376,0.00023913075,0.00015429949,0.88681823,0.0047750133,0.008829017,0.0038187064,0.0062897056],"study_design_scores_gemma":[0.000021650785,0.000010267358,0.021250997,0.0000112543985,0.0000092688,0.000033531633,0.000041199517,0.9748092,0.00097046007,0.0022186371,0.0006008228,0.000022734164],"about_ca_topic_score_codex":0.010055464,"about_ca_topic_score_gemma":0.006771726,"teacher_disagreement_score":0.010055464,"about_ca_system_score_codex":0.00080541335,"about_ca_system_score_gemma":0.00054519426,"threshold_uncertainty_score":0.019993842},"labels":[],"label_agreement":null},{"id":"W2219947250","doi":"10.1007/s00382-015-2938-x","title":"Evaluation of precipitation and temperature simulation performance of the CMIP3 and CMIP5 historical experiments","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Coupled model intercomparison project; Precipitation; Environmental science; Climatology; GCM transcription factors; Climate model; Metric (unit); Divergence (linguistics); Climate change; Atmospheric sciences; Meteorology; General Circulation Model; Geology; Geography","score_opus":0.045590194768428696,"score_gpt":0.29077516491834027,"score_spread":0.24518497014991159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2219947250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99199754,0.00011362453,0.0027202666,0.00023738411,0.000073771305,0.000040477655,0.0019635283,0.00036042815,0.0024931154],"genre_scores_gemma":[0.9965857,0.000035346835,0.0017694922,0.000032540745,0.000015461223,0.000021015392,0.0012210974,0.000048720285,0.00027068725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991047,0.0003955871,0.000070259724,0.0002064158,0.00011353925,0.000109475535],"domain_scores_gemma":[0.99306,0.004394952,0.0003503724,0.00080127723,0.0010849297,0.0003084236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034898939,0.00092195044,0.00042876968,0.00045559485,0.000646887,0.0007880459,0.0010008027,0.0011846072,0.0016350719],"category_scores_gemma":[0.0074311546,0.00033307646,0.0006388072,0.0007056143,0.00051966833,0.0012509002,0.0004669769,0.0008392808,0.00025805022],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026177107,0.0009579664,0.028099434,0.00014054916,0.00028459998,0.000121189725,0.00012447537,0.94256204,0.008512163,0.0018058879,0.0018106785,0.012963384],"study_design_scores_gemma":[0.00055038504,0.0007284398,0.024605662,0.000017414213,0.00013317585,0.000030250067,0.0000950806,0.95461035,0.017503181,0.0006366702,0.001030628,0.00005876798],"about_ca_topic_score_codex":0.023899617,"about_ca_topic_score_gemma":0.010985021,"teacher_disagreement_score":0.023899617,"about_ca_system_score_codex":0.0011928815,"about_ca_system_score_gemma":0.00077871315,"threshold_uncertainty_score":0.047520995},"labels":[],"label_agreement":null},{"id":"W2222106298","doi":"10.1007/s00382-015-2970-x","title":"The interdecadal change of the leading mode of the winter precipitation over China","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Empirical orthogonal functions; Climatology; Environmental science; Sea surface temperature; Precipitation; East Asian Monsoon; China; Monsoon; Siberian High; Geology; East Asia; Atmospheric sciences; Geography; Meteorology","score_opus":0.013575704978288944,"score_gpt":0.25454618409438323,"score_spread":0.2409704791160943,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2222106298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99875927,0.00009352385,0.00024389326,0.00013702887,0.0000187388,0.0000012699074,0.00029001792,0.0000143974385,0.000441945],"genre_scores_gemma":[0.9995944,0.00004091067,0.0000422982,0.000009747969,0.000005229423,0.0000015566122,0.00015126247,0.000002575978,0.00015201127],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999219,0.000010866615,0.0000053290487,0.000027339205,0.000009276326,0.00002515965],"domain_scores_gemma":[0.99969614,0.000052553823,0.000077636854,0.000033594883,0.00006635093,0.00007378597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004756178,0.00024792805,0.000143348,0.00048257867,0.00036220005,0.00050542934,0.0002942249,0.00032234122,0.00087861775],"category_scores_gemma":[0.00086816004,0.00019209064,0.00040181758,0.0005888596,0.00027925405,0.00044596303,0.00049613405,0.0004209107,0.00011324798],"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":[0.00045344484,0.00011006479,0.89564025,0.00006690923,0.00039138272,0.00037328483,0.00055533124,0.069771156,0.0077423453,0.003323547,0.0028437187,0.01872865],"study_design_scores_gemma":[0.000022646249,0.000038894224,0.91368383,0.000011409609,0.000063470405,0.000065594366,0.00018926692,0.08327013,0.00050075306,0.00079309155,0.001339833,0.000021052694],"about_ca_topic_score_codex":0.037316635,"about_ca_topic_score_gemma":0.041010436,"teacher_disagreement_score":0.037316635,"about_ca_system_score_codex":0.00091594615,"about_ca_system_score_gemma":0.00062834396,"threshold_uncertainty_score":0.07419884},"labels":[],"label_agreement":null},{"id":"W2230344864","doi":"10.1007/s00382-016-2973-2","title":"Wintertime precipitation variability over the Arabian Peninsula and its relationship with ENSO in the CAM4 simulations","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Masdar Institute of Science and Technology; New York University Abu Dhabi; National Oceanic and Atmospheric Administration; National Center for Atmospheric Research","keywords":"Teleconnection; Climatology; Rossby wave; Environmental science; Precipitation; Sea surface temperature; Multivariate ENSO index; Atmospheric sciences; El Niño Southern Oscillation; Peninsula; Climate model; Atmospheric model; Atmosphere (unit); Geology; La Niña; Climate change; Oceanography; Geography; Meteorology","score_opus":0.015989440913172736,"score_gpt":0.2447317552566409,"score_spread":0.22874231434346817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2230344864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99824715,0.00009457884,0.0001137101,0.00016022669,0.00001488785,0.0000026160142,0.0005947016,0.00002569063,0.00074650114],"genre_scores_gemma":[0.998887,0.000063570296,0.00013735834,0.000027316275,0.000008556394,0.0000044854864,0.00058967405,0.0000135522705,0.00026843773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985874,0.000045531255,0.000012461651,0.00003881547,0.0000108946715,0.000033491],"domain_scores_gemma":[0.9993642,0.00027817965,0.0000845032,0.00007072171,0.00010514135,0.00009720407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059651636,0.00058146095,0.00037747304,0.0003731713,0.00049332605,0.00094373117,0.00094242836,0.0011857632,0.002182999],"category_scores_gemma":[0.001711653,0.0004578609,0.0006257005,0.0007139103,0.00044995602,0.00061038753,0.00040200207,0.0006776426,0.00023975589],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012174307,0.00030089056,0.20986022,0.000109390116,0.0005228624,0.00045639265,0.00024850285,0.768494,0.0060591735,0.002697567,0.0038186389,0.0062149307],"study_design_scores_gemma":[0.00032707272,0.000089951005,0.16325678,0.00003201114,0.00013775878,0.00006379807,0.00023519754,0.83132565,0.0021141472,0.00070116075,0.0016570014,0.000059434937],"about_ca_topic_score_codex":0.09455087,"about_ca_topic_score_gemma":0.04895034,"teacher_disagreement_score":0.09455087,"about_ca_system_score_codex":0.0012371683,"about_ca_system_score_gemma":0.0007515588,"threshold_uncertainty_score":0.18800104},"labels":[],"label_agreement":null},{"id":"W2256160180","doi":"10.1007/s00382-016-3024-8","title":"Evaluating CMIP5 models using GPS radio occultation COSMIC temperature in UTLS region during 2006–2013: twenty-first century projection and trends","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"","keywords":"Coupled model intercomparison project; Radio occultation; Environmental science; COSMIC cancer database; Climatology; Troposphere; Stratosphere; Climate model; Atmospheric sciences; Representative Concentration Pathways; Climate change; Geology; Physics; Astrophysics","score_opus":0.026502144003066982,"score_gpt":0.2609444605843447,"score_spread":0.23444231658127768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256160180","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9795252,0.0005612334,0.0017200605,0.0005210671,0.00008236346,0.000016956006,0.015580779,0.00030120663,0.0016911203],"genre_scores_gemma":[0.9834435,0.00031754992,0.0011034001,0.000050458577,0.000023740547,0.0000147673645,0.014617072,0.0000413898,0.00038801887],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996076,0.00007595175,0.0000322139,0.00013744066,0.00007913339,0.000067683475],"domain_scores_gemma":[0.99857605,0.00029185042,0.00022914418,0.00011379193,0.00065448147,0.00013468368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020663284,0.00096778834,0.00046783904,0.0010011537,0.0003434136,0.0011643776,0.0011492354,0.000797102,0.0010481817],"category_scores_gemma":[0.0028811195,0.00038668292,0.0010837704,0.0022122094,0.000307955,0.00131723,0.0006611295,0.000634243,0.00041178038],"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":[0.00043129464,0.00018171409,0.68087584,0.00015957674,0.0006767394,0.00012650869,0.00016496949,0.29480037,0.00092362065,0.0011663127,0.006909308,0.013583798],"study_design_scores_gemma":[0.00007264372,0.00014039765,0.39587963,0.00010734265,0.0004547903,0.00008953738,0.0006810626,0.5914016,0.003955702,0.00067960366,0.006467247,0.000070448674],"about_ca_topic_score_codex":0.19837001,"about_ca_topic_score_gemma":0.15707497,"teacher_disagreement_score":0.19837001,"about_ca_system_score_codex":0.0023896317,"about_ca_system_score_gemma":0.0021334724,"threshold_uncertainty_score":0.39443076},"labels":[],"label_agreement":null},{"id":"W2256245571","doi":"10.1007/s00382-015-2937-y","title":"A quantitative assessment of precipitation associated with the ITCZ in the CMIP5 GCM simulations","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Office of Experimental Program to Stimulate Competitive Research","keywords":"Intertropical Convergence Zone; Coupled model intercomparison project; Climatology; Precipitation; GCM transcription factors; Environmental science; Convergence zone; Climate model; Tropics; General Circulation Model; Climate change; Atmospheric sciences; Meteorology; Geology; Geography; Oceanography","score_opus":0.044288986886072246,"score_gpt":0.3213123232597551,"score_spread":0.27702333637368287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2256245571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879412,0.00032082302,0.004636825,0.00031706656,0.00003274761,0.000027986907,0.0034074995,0.00017010124,0.0031458337],"genre_scores_gemma":[0.9976641,0.00004908096,0.0014867658,0.000022998365,0.000012941344,0.000008947654,0.0005968873,0.000022427055,0.00013577871],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969053,0.00010974049,0.000027930033,0.00006604223,0.00006802988,0.000037755686],"domain_scores_gemma":[0.99883026,0.0005273654,0.00017950057,0.00013950246,0.00024070026,0.0000825758],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012499188,0.00050312333,0.00026822672,0.00074508437,0.00031659685,0.00083445193,0.00063181826,0.0008698044,0.0008665588],"category_scores_gemma":[0.0034659079,0.00028680076,0.0004568053,0.0011481264,0.00035905975,0.00083354244,0.00043430703,0.00048429644,0.00008791014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006626307,0.00012802327,0.10564387,0.00020679424,0.00030718377,0.00014593845,0.00010940787,0.862319,0.011034708,0.003883778,0.0016133283,0.01394538],"study_design_scores_gemma":[0.00014032924,0.00011633837,0.15001848,0.00004284942,0.00010125327,0.00005321083,0.00010451623,0.84208286,0.0044415537,0.0015343776,0.0013233507,0.00004082895],"about_ca_topic_score_codex":0.016295766,"about_ca_topic_score_gemma":0.014378389,"teacher_disagreement_score":0.016295766,"about_ca_system_score_codex":0.0006838047,"about_ca_system_score_gemma":0.00037445972,"threshold_uncertainty_score":0.0324018},"labels":[],"label_agreement":null},{"id":"W2258853289","doi":"10.1007/s00382-016-3004-z","title":"Multisite multivariate modeling of daily precipitation and temperature in the Canadian Prairie Provinces using generalized linear models","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan; Global Institute for Water Security","funders":"University College London; National Center for Atmospheric Research","keywords":"Precipitation; Downscaling; Climatology; Environmental science; Multivariate statistics; Climate change; Covariate; Climate model; Teleconnection; Statistics; Meteorology; Mathematics; Geography; Geology","score_opus":0.026521123882805454,"score_gpt":0.26265274748068096,"score_spread":0.2361316235978755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2258853289","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.974774,0.00045060448,0.018727053,0.0008191945,0.00006176618,0.000042270483,0.0029367625,0.0002445319,0.0019437212],"genre_scores_gemma":[0.99271834,0.00018093496,0.004558936,0.000031454827,0.000012798638,0.00001997999,0.0010015605,0.000030271198,0.0014457504],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992525,0.00020095216,0.000032537577,0.00019670637,0.00010195441,0.00021533867],"domain_scores_gemma":[0.9988925,0.00038726217,0.0001481446,0.00008852582,0.00035919386,0.0001244793],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013772617,0.00066501653,0.00086814514,0.0006848308,0.0016928667,0.001797195,0.002585541,0.00070036,0.0010949528],"category_scores_gemma":[0.00322367,0.0007772434,0.0012124626,0.0019306046,0.0009851992,0.00088108,0.00086636684,0.0011301124,0.00011794619],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000074603944,0.0000738509,0.044750933,0.000029943592,0.00022555958,0.000058840058,0.00011260004,0.9442253,0.0003695825,0.002321321,0.0013632866,0.0063941525],"study_design_scores_gemma":[0.000017448107,0.0000059785643,0.021966908,0.0000047723174,0.000029310508,0.0000061537667,0.00008583796,0.9766873,0.00007762702,0.0005982474,0.00049259776,0.000027880267],"about_ca_topic_score_codex":0.9851644,"about_ca_topic_score_gemma":0.9862861,"teacher_disagreement_score":0.014835596,"about_ca_system_score_codex":0.011833254,"about_ca_system_score_gemma":0.01641366,"threshold_uncertainty_score":0.08585662},"labels":[],"label_agreement":null},{"id":"W2270858572","doi":"10.1007/s00382-015-2896-3","title":"Impact of land-use and land-cover changes on CRCM5 climate projections over North America for the twenty-first century","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Environmental science; Climatology; Albedo (alchemy); Climate change; Land cover; Afforestation; Forcing (mathematics); Climate model; Land use; Radiative forcing; Vegetation (pathology); Land use, land-use change and forestry; Agroforestry; Geology; Ecology","score_opus":0.029180853721387616,"score_gpt":0.27451087930311935,"score_spread":0.24533002558173173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2270858572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96186405,0.0025952116,0.0016320169,0.005140249,0.00038090226,0.000028670564,0.019384542,0.0001723847,0.008801834],"genre_scores_gemma":[0.9898392,0.001301488,0.00092458946,0.00033341852,0.00006916651,0.000030116553,0.005897055,0.00003212789,0.0015727833],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994849,0.00014302561,0.000035516703,0.00011832331,0.000118537224,0.00009971654],"domain_scores_gemma":[0.99921465,0.00013928743,0.00016109156,0.00004158217,0.0003195907,0.0001238085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013882132,0.00057280884,0.00032510248,0.00066927867,0.0006404732,0.0012673379,0.000654555,0.0010878319,0.0022283536],"category_scores_gemma":[0.0028532734,0.00037205077,0.00081378256,0.0013377246,0.00041232203,0.0013845342,0.00083962065,0.00073464564,0.00025262544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008354705,0.00021213901,0.40178967,0.0007534082,0.0008373729,0.00093440607,0.0007930931,0.52836615,0.0024318323,0.01229955,0.020874139,0.029872848],"study_design_scores_gemma":[0.00016754743,0.0002461999,0.575525,0.0003737268,0.00064379704,0.00032043218,0.0017232714,0.3411287,0.0033779957,0.0060937675,0.07019109,0.00020847838],"about_ca_topic_score_codex":0.3236654,"about_ca_topic_score_gemma":0.39080438,"teacher_disagreement_score":0.6763346,"about_ca_system_score_codex":0.0050040744,"about_ca_system_score_gemma":0.003963277,"threshold_uncertainty_score":0.6435629},"labels":[],"label_agreement":null},{"id":"W2273617173","doi":"10.1007/s00382-015-2921-6","title":"The switching between zonal and blocked mid-latitude atmospheric circulation: a dynamical system perspective","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"European Research Council","keywords":"Attractor; Arctic oscillation; North Atlantic oscillation; Atmospheric circulation; Climatology; Oscillation (cell signaling); Geology; Latitude; Circulation (fluid dynamics); Physics; Mechanics; Mathematics; Geodesy; Mathematical analysis; Chemistry","score_opus":0.016647098094273373,"score_gpt":0.24639029377263152,"score_spread":0.22974319567835816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273617173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78496915,0.0011402214,0.12788594,0.0052701533,0.0004219626,0.000051486,0.0011392606,0.00024911197,0.07887276],"genre_scores_gemma":[0.99541336,0.0003349765,0.0019406755,0.000096096934,0.000089102236,0.000009902354,0.00008690846,0.00002391622,0.0020050786],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998578,0.000049964827,0.000005634767,0.000034826957,0.000018045705,0.000033835502],"domain_scores_gemma":[0.99962723,0.00015713567,0.000053611144,0.000045816745,0.00003765599,0.000078502046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004435399,0.00021094077,0.0003992999,0.00033259476,0.00050181267,0.0021395385,0.0007520355,0.00082333514,0.005179084],"category_scores_gemma":[0.0019655724,0.00026143997,0.00065999315,0.0003436784,0.0011506873,0.001969253,0.0007823988,0.0008725076,0.00022094022],"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":[0.00019528944,0.00007197738,0.014056589,0.000061858074,0.00017984128,0.000260626,0.00038561676,0.30097237,0.0053064297,0.66402847,0.002900084,0.011580938],"study_design_scores_gemma":[0.000033492342,0.00003487405,0.009905791,0.000017135997,0.000042978245,0.00007232249,0.00020402092,0.7998343,0.00028612788,0.186734,0.0027967265,0.00003818196],"about_ca_topic_score_codex":0.008285053,"about_ca_topic_score_gemma":0.005647481,"teacher_disagreement_score":0.008285053,"about_ca_system_score_codex":0.00080323586,"about_ca_system_score_gemma":0.0005334238,"threshold_uncertainty_score":0.017325759},"labels":[],"label_agreement":null},{"id":"W2274298325","doi":"10.1007/s00382-015-2906-5","title":"Projected changes to winter temperature characteristics over Canada based on an RCM ensemble","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Frost (temperature); Environmental science; Extreme Cold; Cold wave; Climate change; Climate model; Cold weather; General Circulation Model; Atmospheric sciences; Geography; Meteorology; Geology; Oceanography","score_opus":0.01532322864201787,"score_gpt":0.23766569248058161,"score_spread":0.22234246383856374,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2274298325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98026544,0.00026749386,0.0027000778,0.00035215437,0.00003667108,0.000032804444,0.010282845,0.00023234065,0.005830063],"genre_scores_gemma":[0.98932856,0.00024132506,0.0019015658,0.00005320368,0.000009043913,0.000024712035,0.0074274004,0.00002707791,0.0009871329],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983895,0.00002031776,0.0000062418685,0.000039512026,0.000045592966,0.00004933185],"domain_scores_gemma":[0.9996138,0.000034402543,0.000027483897,0.000025820653,0.00024473993,0.00005366234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031684685,0.00064070337,0.00032449586,0.0004854843,0.0009058715,0.00071517105,0.00081266154,0.00045218912,0.00128408],"category_scores_gemma":[0.00083697226,0.0002916844,0.00090432784,0.0010352116,0.0002967086,0.0003205616,0.00025515113,0.00045491135,0.0002191836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014980414,0.000038394814,0.088536486,0.00003680345,0.00023173126,0.000118029646,0.00006851453,0.9002134,0.001561665,0.0006930983,0.0026587322,0.005693371],"study_design_scores_gemma":[0.00011023884,0.00004225502,0.12985648,0.000023045588,0.00014123098,0.000043909742,0.00018102089,0.8627378,0.0012393099,0.00041087082,0.0051297816,0.00008412716],"about_ca_topic_score_codex":0.9617792,"about_ca_topic_score_gemma":0.9408731,"teacher_disagreement_score":0.038220823,"about_ca_system_score_codex":0.012526445,"about_ca_system_score_gemma":0.010038579,"threshold_uncertainty_score":0.090886116},"labels":[],"label_agreement":null},{"id":"W2296010050","doi":"10.1007/s00382-015-2831-7","title":"Assessment of climate change impacts on watershed in cold-arid region: an integrated multi-GCM-based stochastic weather generator and stepwise cluster analysis method","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Science Fund for Distinguished Young Scholars; Fundamental Research Funds for the Central Universities; Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences; State Key Laboratory of Desert and Oasis Ecology; University of Regina","keywords":"Streamflow; Watershed; Environmental science; Precipitation; Climate change; Climatology; Arid; Climate model; Hydrology (agriculture); Meteorology; Geography; Drainage basin; Geology; Computer science","score_opus":0.03610333930126708,"score_gpt":0.3104208591949175,"score_spread":0.27431751989365044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2296010050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8154717,0.000053377615,0.18210301,0.000111399466,0.000019625388,0.000110533605,0.0005630444,0.00056817144,0.0009991424],"genre_scores_gemma":[0.9585082,0.000027254968,0.040605124,0.000007796654,0.0000073076876,0.000059032427,0.00047472873,0.00003247903,0.0002780243],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998385,0.0000566979,0.00000862279,0.000045569992,0.000030467996,0.000020152023],"domain_scores_gemma":[0.9996511,0.00015299728,0.000034924047,0.000028509317,0.000095808646,0.00003673213],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00077176484,0.0004288911,0.00053787616,0.0009523423,0.00048776783,0.0004520219,0.0010622052,0.0005014175,0.00072787836],"category_scores_gemma":[0.0012820014,0.0002599836,0.0007841827,0.00088231754,0.00019487165,0.00058101525,0.0004967954,0.0003583193,0.00009015289],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000106696025,0.00012694548,0.015547101,0.0000285882,0.00010031838,0.00007629716,0.00006148795,0.9575653,0.0014689318,0.0016023555,0.0003981428,0.022917889],"study_design_scores_gemma":[0.000003655016,0.000004422042,0.0011491299,4.979487e-7,0.0000057005527,0.0000023131968,0.0000053186704,0.9985753,0.00008203119,0.00015152704,0.000017899438,0.0000022241702],"about_ca_topic_score_codex":0.032621488,"about_ca_topic_score_gemma":0.026073003,"teacher_disagreement_score":0.032621488,"about_ca_system_score_codex":0.0006976118,"about_ca_system_score_gemma":0.0014648646,"threshold_uncertainty_score":0.064863265},"labels":[],"label_agreement":null},{"id":"W2325045102","doi":"10.1007/s00382-016-3104-9","title":"Impact of lake–river connectivity and interflow on the Canadian RCM simulated regional climate and hydrology for Northeast Canada","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Interflow; Streamflow; Environmental science; Hydrology (agriculture); Precipitation; Climate model; Routing (electronic design automation); Hydrometeorology; Climate change; Climatology; Surface water; Wetland; Drainage basin; Geology; Groundwater; Geography; Oceanography; Ecology; Meteorology","score_opus":0.009166780499716518,"score_gpt":0.21767303490821852,"score_spread":0.208506254408502,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325045102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865767,0.00015359143,0.00072519254,0.00041796477,0.00003378006,0.000027388689,0.005229148,0.00021165844,0.0066246414],"genre_scores_gemma":[0.99471635,0.000066477136,0.001056776,0.00007345181,0.0000048434945,0.000013687376,0.0030261453,0.00003995346,0.0010023538],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997322,0.000035658133,0.000010304025,0.00006982502,0.0000550672,0.000097026066],"domain_scores_gemma":[0.99929047,0.00011255119,0.000042258293,0.00003941382,0.00033873713,0.00017646472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042929992,0.0008029279,0.00046148838,0.0005432105,0.001676976,0.0011833265,0.0018162143,0.001040883,0.0026093284],"category_scores_gemma":[0.001360196,0.0005156605,0.0009786232,0.0010022488,0.0007128304,0.0004111859,0.0005111042,0.00080615736,0.00022692865],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001714133,0.00011416223,0.058254134,0.000051534495,0.00014112731,0.00015789659,0.0001070297,0.9298478,0.0016516605,0.0012035681,0.004580499,0.0037191974],"study_design_scores_gemma":[0.00014640621,0.00003393753,0.045650017,0.000017714787,0.000076462704,0.000022591275,0.00020388946,0.9506406,0.00075959286,0.0001812592,0.0022077193,0.00005979682],"about_ca_topic_score_codex":0.98092157,"about_ca_topic_score_gemma":0.9766218,"teacher_disagreement_score":0.019078434,"about_ca_system_score_codex":0.01774789,"about_ca_system_score_gemma":0.01594169,"threshold_uncertainty_score":0.12877059},"labels":[],"label_agreement":null},{"id":"W2327431017","doi":"10.1007/s00382-016-3079-6","title":"A new statistical approach to climate change detection and attribution","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Fondation Sciences et Technologies pour l’Aéronautique et l’Espace; Agence Nationale de la Recherche","keywords":"Climate change; Climate model; Econometrics; Attribution; Maximization; Regression; Computer science; Statistical model; Linear regression; Climatology; Statistics; Environmental science; Mathematics; Mathematical optimization; Geology","score_opus":0.026240917022784898,"score_gpt":0.2478258161715673,"score_spread":0.2215848991487824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327431017","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003110414,0.00013595216,0.99538285,0.00031150517,0.00008900854,0.000017516062,0.00012730094,0.00023144134,0.000594025],"genre_scores_gemma":[0.3523952,0.00089888123,0.6353732,0.0005776518,0.0021973825,0.0003395398,0.0013018529,0.000541972,0.006374351],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99469227,0.0018659284,0.00046686394,0.0012780086,0.0014794919,0.00021746095],"domain_scores_gemma":[0.9703583,0.021296948,0.0013865771,0.0039376207,0.0024832876,0.000537223],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007636046,0.0010054604,0.001806988,0.00463081,0.0013334207,0.004168977,0.0028660465,0.0015337105,0.0034361323],"category_scores_gemma":[0.036774077,0.000890917,0.001771328,0.0036403635,0.0023937537,0.006391475,0.0039296392,0.0030196786,0.00079168956],"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":[0.00014918999,0.00027351137,0.010217591,0.00017125014,0.00053773104,0.0002081267,0.00024095974,0.26661718,0.0041395514,0.42046723,0.005496366,0.2914814],"study_design_scores_gemma":[0.000008700935,0.000023095467,0.00084416126,0.000009179123,0.00003046695,0.000059628408,0.000015881717,0.8124816,0.0005168942,0.18402183,0.0019638983,0.00002475873],"about_ca_topic_score_codex":0.0043916777,"about_ca_topic_score_gemma":0.004203174,"teacher_disagreement_score":0.007636046,"about_ca_system_score_codex":0.0011594418,"about_ca_system_score_gemma":0.0024737394,"threshold_uncertainty_score":0.040383697},"labels":[],"label_agreement":null},{"id":"W2341633590","doi":"10.1007/s00382-016-3117-4","title":"Simulation of different types of ENSO impacts on South Asian Monsoon in CCSM4","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Center for Atmospheric Research","keywords":"Teleconnection; Climatology; Environmental science; Sea surface temperature; El Niño Southern Oscillation; Monsoon; Climate model; Predictability; Atmospheric model; Atmospheric sciences; Climate change; Meteorology; Geology; Mathematics; Geography; Oceanography","score_opus":0.014829431417653686,"score_gpt":0.24897092712021407,"score_spread":0.23414149570256038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341633590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899727,0.00007720531,0.0009123016,0.0004788756,0.00010218185,0.000026643935,0.001605311,0.00018049582,0.0066443365],"genre_scores_gemma":[0.99770594,0.00004163882,0.0005584692,0.000045705314,0.00001407159,0.00002049993,0.0006595099,0.000032851367,0.00092131965],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99980146,0.00005207723,0.000013182238,0.000040807063,0.000031929856,0.000060515875],"domain_scores_gemma":[0.99911505,0.0003847085,0.00006375617,0.00006389385,0.00017939428,0.00019328711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063006,0.0009955833,0.0006906886,0.0005179425,0.0009495255,0.0009415236,0.0012773606,0.0017633053,0.005134223],"category_scores_gemma":[0.0018565385,0.0005692195,0.0010447695,0.00097384804,0.00080837315,0.0009900861,0.0006013993,0.0015149754,0.0002832329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029150007,0.00017886619,0.0077754823,0.0000403968,0.00007652314,0.00012885056,0.00006312903,0.9861215,0.0012936984,0.0011443965,0.001404062,0.0014815354],"study_design_scores_gemma":[0.00013426038,0.00005206632,0.006429409,0.000005719907,0.000032202,0.000010441306,0.000083590574,0.9918074,0.0007027127,0.00031793176,0.00040302722,0.000021202839],"about_ca_topic_score_codex":0.14266498,"about_ca_topic_score_gemma":0.087941185,"teacher_disagreement_score":0.14266498,"about_ca_system_score_codex":0.002135464,"about_ca_system_score_gemma":0.0021629105,"threshold_uncertainty_score":0.2836691},"labels":[],"label_agreement":null},{"id":"W2341676529","doi":"10.1007/s00382-016-3045-3","title":"Monitoring early-flood season intraseasonal oscillations and persistent heavy rainfall in South China","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China","keywords":"Climatology; Flood myth; China; Anomaly (physics); Environmental science; Southern china; Geography; Geology","score_opus":0.011758084057033385,"score_gpt":0.2195610576720917,"score_spread":0.2078029736150583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2341676529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995876,0.000012275515,0.00013471176,0.000015507676,0.0000011697165,0.0000019377283,0.000110573244,0.00000741918,0.00012875989],"genre_scores_gemma":[0.9995505,0.000015705431,0.00010558724,0.0000032057187,0.0000023076168,0.0000034254113,0.00018748076,0.0000013413335,0.00013030713],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990976,0.0000113833075,0.0000075965977,0.00003390542,0.000013510498,0.00002389816],"domain_scores_gemma":[0.9997278,0.000041192816,0.000073767886,0.000030080368,0.000047182417,0.00008000193],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038173073,0.00040357347,0.0002716289,0.0007676548,0.0004858317,0.00043170352,0.00046469693,0.0003792607,0.00045187952],"category_scores_gemma":[0.00034699033,0.00024486653,0.00029574754,0.0010496796,0.00021637153,0.00047381682,0.00039668597,0.00017801838,0.00006713052],"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":[0.00013120651,0.00011827008,0.9562891,0.000035522735,0.00013369166,0.00019163817,0.00048031216,0.023326393,0.0077190544,0.00023774861,0.00042483554,0.010912188],"study_design_scores_gemma":[0.000015582853,0.000033826553,0.93752855,0.0000031873758,0.000048337115,0.00002505208,0.00021591497,0.06106692,0.0006502594,0.000106237,0.00029253607,0.000013593329],"about_ca_topic_score_codex":0.077466376,"about_ca_topic_score_gemma":0.12273886,"teacher_disagreement_score":0.077466376,"about_ca_system_score_codex":0.0009712555,"about_ca_system_score_gemma":0.0010203269,"threshold_uncertainty_score":0.15403092},"labels":[],"label_agreement":null},{"id":"W2346674926","doi":"10.1007/s00382-016-3145-0","title":"Advances in projection of climate change impacts using supervised nonlinear dimensionality reduction techniques","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Dimensionality reduction; Principal component analysis; Projection (relational algebra); Artificial intelligence; Computer science; Machine learning; Support vector machine; Relevance vector machine; Probabilistic logic; Pattern recognition (psychology); Mathematics; Climate change; Algorithm; Ecology","score_opus":0.028784659122255255,"score_gpt":0.29680185182207525,"score_spread":0.26801719269982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346674926","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":[0.029291391,0.0018305549,0.96511835,0.00044831002,0.00012939586,0.000036631194,0.00036770426,0.00064894004,0.0021287717],"genre_scores_gemma":[0.49161854,0.0048008696,0.49490872,0.00016580596,0.00056583254,0.0001799665,0.0030489769,0.0002959994,0.0044151843],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994271,0.00023332235,0.000044904093,0.0001275735,0.00013559901,0.00003151183],"domain_scores_gemma":[0.9988439,0.00041973218,0.00010231822,0.0003085126,0.0002879155,0.000037660015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009557947,0.0010623169,0.0009287043,0.00077633146,0.00038806262,0.0012101555,0.0008423846,0.0005663305,0.0013585608],"category_scores_gemma":[0.0033706867,0.00042050466,0.001451876,0.0011003636,0.0004146741,0.0015620355,0.0011606872,0.0012692024,0.0006342276],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008122103,0.00015655285,0.0036822709,0.0002732315,0.0003606728,0.000076103446,0.00017669777,0.4915221,0.004542254,0.016960291,0.00686353,0.47530517],"study_design_scores_gemma":[0.000002821679,0.0000110696365,0.00080485287,0.0000080820455,0.000013400636,0.000012321484,0.000015123386,0.99099123,0.00047503627,0.0064937314,0.0011626818,0.000009659151],"about_ca_topic_score_codex":0.0047407183,"about_ca_topic_score_gemma":0.0042989166,"teacher_disagreement_score":0.0047407183,"about_ca_system_score_codex":0.0002598104,"about_ca_system_score_gemma":0.00089069887,"threshold_uncertainty_score":0.009426236},"labels":[],"label_agreement":null},{"id":"W2399949120","doi":"10.1007/s00382-016-3148-x","title":"The impact of ENSO and the NAO on extreme winter precipitation in North America in observations and regional climate models","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal; U.S. Department of Energy","keywords":"Climatology; Precipitation; Teleconnection; Climate model; Environmental science; North Atlantic oscillation; Forcing (mathematics); Extreme value theory; El Niño Southern Oscillation; Generalized extreme value distribution; Climate change; Atmospheric sciences; Geography; Geology; Oceanography; Meteorology; Mathematics","score_opus":0.03894968608150434,"score_gpt":0.2546672206185245,"score_spread":0.21571753453702014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399949120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974051,0.00029680447,0.0008657877,0.00020928917,0.000018103547,0.00000520402,0.00045535038,0.00006921213,0.0006752066],"genre_scores_gemma":[0.99865204,0.00013577778,0.0004225716,0.000025105326,0.00001398631,0.000008317033,0.00054025726,0.000020698004,0.00018130286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898976,0.00061530265,0.00004895355,0.00020195084,0.000072512645,0.00007146452],"domain_scores_gemma":[0.99765575,0.0015675422,0.00028015533,0.00019155031,0.00016071483,0.00014431438],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023761832,0.00048458527,0.00047071694,0.00030777886,0.00044016127,0.0011539909,0.00065589946,0.00052424317,0.00056722754],"category_scores_gemma":[0.005864315,0.0005806078,0.0008008601,0.0006174675,0.00054712064,0.0010163854,0.00094339676,0.0005719011,0.00010794884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003310026,0.000107910826,0.31257072,0.00007248087,0.00092249154,0.00015182365,0.00020929857,0.6760808,0.0013863448,0.0015213095,0.001449755,0.0051959082],"study_design_scores_gemma":[0.000111455425,0.000096468044,0.22965302,0.000027562539,0.00015826861,0.00004888744,0.00013206319,0.766359,0.0004159141,0.0018232327,0.001122778,0.00005146665],"about_ca_topic_score_codex":0.081017815,"about_ca_topic_score_gemma":0.09846476,"teacher_disagreement_score":0.9189822,"about_ca_system_score_codex":0.0012148017,"about_ca_system_score_gemma":0.00094944506,"threshold_uncertainty_score":0.16109252},"labels":[],"label_agreement":null},{"id":"W2416535814","doi":"10.1007/s00382-016-3192-6","title":"Towards multi-resolution global climate modeling with ECHAM6-FESOM. Part II: climate variability","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Predictability; Climatology; Climate model; Environmental science; Context (archaeology); Climate change; Climate state; Sea surface temperature; Global warming; Abrupt climate change; Effects of global warming; Geology; Oceanography; Mathematics","score_opus":0.015587958434170844,"score_gpt":0.22697991356621913,"score_spread":0.21139195513204828,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2416535814","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":[0.25347406,0.0024263817,0.71681833,0.0026135575,0.00074385863,0.00016393195,0.008509072,0.0047866106,0.010464225],"genre_scores_gemma":[0.63268405,0.001077278,0.35263738,0.00051975285,0.00037194722,0.0003042234,0.009758233,0.0008308938,0.0018161584],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997769,0.00009061054,0.000015098056,0.00003535379,0.000064812164,0.00001712267],"domain_scores_gemma":[0.9995691,0.00013347167,0.000044484295,0.000103453654,0.000103987106,0.000045440214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00132003,0.0007052012,0.00053080893,0.00043886813,0.00023276893,0.0008481058,0.0013106981,0.0010716997,0.0012627803],"category_scores_gemma":[0.0022984804,0.000346866,0.0011400926,0.00085114007,0.0003005327,0.0012552207,0.0010096773,0.0012642732,0.00032888295],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007394186,0.00005392571,0.005813885,0.00008546256,0.00017692996,0.00006737853,0.000050933086,0.95471877,0.0029811494,0.009276335,0.0032869778,0.023414282],"study_design_scores_gemma":[0.000020238673,0.000013674424,0.0013755119,0.000011246655,0.000011525512,0.000011765,0.000012681934,0.9894638,0.00054968003,0.00490077,0.0036195095,0.000009670733],"about_ca_topic_score_codex":0.0064613493,"about_ca_topic_score_gemma":0.0047654854,"teacher_disagreement_score":0.0064613493,"about_ca_system_score_codex":0.00042797747,"about_ca_system_score_gemma":0.0004913831,"threshold_uncertainty_score":0.012847483},"labels":[],"label_agreement":null},{"id":"W2418056382","doi":"10.1007/s00382-016-3187-3","title":"Predictability of the Indian Ocean Dipole in the coupled models","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Predictability; Climatology; Forecast skill; Indian Ocean Dipole; Initialization; Anomaly (physics); Environmental science; Meteorology; Computer science; Statistics; Mathematics; Sea surface temperature; Geology; Geography; Physics","score_opus":0.010914834075299695,"score_gpt":0.211424369240409,"score_spread":0.2005095351651093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2418056382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9657328,0.0003166165,0.020609582,0.0022767645,0.00017634702,0.000015291364,0.0005243507,0.00042274495,0.00992545],"genre_scores_gemma":[0.99871635,0.00009338838,0.000385874,0.000032435597,0.000033877095,0.000003941618,0.00011001247,0.000035301335,0.00058880576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998098,0.00006508646,0.000010318131,0.00004272796,0.000024343708,0.000047688533],"domain_scores_gemma":[0.99905235,0.00038913073,0.00014332382,0.00015192479,0.00012897144,0.00013431619],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006507436,0.00037383375,0.0004396283,0.0004294479,0.0005412971,0.001485148,0.00065202994,0.0005911658,0.0012059062],"category_scores_gemma":[0.0041379705,0.00043838497,0.00056453934,0.00055058935,0.00093120517,0.0010759952,0.0009740025,0.0010937237,0.00012609128],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006439104,0.000016172451,0.00789053,0.00001278156,0.00004590927,0.000052641768,0.00004317913,0.9778683,0.00082138286,0.011029627,0.00088499364,0.0012700666],"study_design_scores_gemma":[0.000019967492,0.0000065558575,0.0036237442,0.0000032315518,0.000016039085,0.000008189228,0.000019248973,0.9909513,0.00016380707,0.004952188,0.00022248503,0.000013203725],"about_ca_topic_score_codex":0.05496873,"about_ca_topic_score_gemma":0.022550086,"teacher_disagreement_score":0.05496873,"about_ca_system_score_codex":0.0013873336,"about_ca_system_score_gemma":0.0012991979,"threshold_uncertainty_score":0.109297514},"labels":[],"label_agreement":null},{"id":"W2431784481","doi":"10.1007/s00382-016-3226-0","title":"Synchrony between reanalysis-driven RCM simulations and observations: variation with time scale","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hydro-Québec; Ouranos; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Université du Québec à Montréal","keywords":"Scale (ratio); Climatology; Anomaly (physics); Climate model; Mode (computer interface); Computer science; Correlation; Environmental science; Variation (astronomy); Econometrics; Climate change; Mathematics; Geology; Geography","score_opus":0.013950248559145966,"score_gpt":0.22099096417219793,"score_spread":0.20704071561305196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2431784481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95925695,0.0006730776,0.032776713,0.0007765087,0.000084725674,0.000046955978,0.0011679254,0.00038734108,0.004829842],"genre_scores_gemma":[0.99696165,0.00008574075,0.002135552,0.00004137541,0.000018232711,0.000014964344,0.00050142425,0.00006381101,0.00017733041],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99866676,0.0003538096,0.00012649129,0.00051388936,0.00024183675,0.000097255805],"domain_scores_gemma":[0.9765977,0.013630032,0.004278159,0.0034280524,0.0015791192,0.00048687495],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006030189,0.0002457525,0.00030568824,0.00091215904,0.00029069636,0.0014864511,0.00057732634,0.0005009307,0.00090816594],"category_scores_gemma":[0.039597265,0.00032694783,0.00039574437,0.0014042986,0.0007002218,0.0014808521,0.0013482319,0.0006947125,0.00019346997],"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":[0.00029894413,0.00006800784,0.810223,0.00019164161,0.0004996346,0.00049971946,0.0019936233,0.12723507,0.008381885,0.012619809,0.0024282937,0.03556041],"study_design_scores_gemma":[0.00005441024,0.00012718553,0.7428557,0.00009881527,0.00013208298,0.00023445168,0.0011550311,0.22597755,0.0050296686,0.015369729,0.008861094,0.00010425472],"about_ca_topic_score_codex":0.005959526,"about_ca_topic_score_gemma":0.0043365946,"teacher_disagreement_score":0.006030189,"about_ca_system_score_codex":0.0005800121,"about_ca_system_score_gemma":0.00051333103,"threshold_uncertainty_score":0.031891048},"labels":[],"label_agreement":null},{"id":"W2442408593","doi":"10.1007/s00382-016-3225-1","title":"Retrospective seasonal prediction of summer monsoon rainfall over West Central and Peninsular India in the past 142 years","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Ministère de la Santé et des Services sociaux","keywords":"Climatology; Indian Ocean Dipole; Sea surface temperature; Predictability; Zonal and meridional; Forcing (mathematics); Monsoon; Environmental science; Geography; Geology","score_opus":0.008394490770793538,"score_gpt":0.2114309769669393,"score_spread":0.20303648619614575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2442408593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99813545,0.000045858094,0.00027815072,0.000033488934,0.000009390479,0.0000018980606,0.0011799627,0.000028910647,0.00028690818],"genre_scores_gemma":[0.9982494,0.00002946882,0.00012137592,0.0000034715783,0.000003759213,0.0000016993814,0.0014250414,0.0000026870011,0.0001630375],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990463,0.000016909067,0.0000103895845,0.00003073155,0.000014475774,0.00002293671],"domain_scores_gemma":[0.9996263,0.0001184864,0.000075074306,0.000047468042,0.00008394967,0.00004882272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032206875,0.0002843452,0.00022025203,0.00035895917,0.00021851629,0.000505078,0.0003506217,0.0003345384,0.0005356184],"category_scores_gemma":[0.0008299656,0.00021243135,0.00029745125,0.00054627075,0.00017644509,0.0003132913,0.0002648159,0.00027597128,0.00019590413],"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":[0.0008875492,0.00014892405,0.77886367,0.00007710922,0.0003040836,0.00035604788,0.00019041137,0.20264523,0.0036990196,0.00045136074,0.0015788527,0.010797698],"study_design_scores_gemma":[0.00003424682,0.00010852864,0.79414827,0.00001072686,0.00007100248,0.00011812049,0.00022164454,0.2025707,0.001395728,0.00018081735,0.0011142538,0.000025915826],"about_ca_topic_score_codex":0.04041605,"about_ca_topic_score_gemma":0.050966706,"teacher_disagreement_score":0.04041605,"about_ca_system_score_codex":0.0003762706,"about_ca_system_score_gemma":0.00052599603,"threshold_uncertainty_score":0.080361605},"labels":[],"label_agreement":null},{"id":"W2460362911","doi":"10.1007/s00382-016-3227-z","title":"Evidence of added value in North American regional climate model hindcast simulations using ever-increasing horizontal resolutions","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":102,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Compute Canada; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Orography; Hindcast; Climatology; Environmental science; Precipitation; Climate model; Orographic lift; Meteorology; Horizontal resolution; Global wind patterns; Diurnal cycle; Climate change; Geology; Geography; Oceanography","score_opus":0.056221211152322786,"score_gpt":0.2893437859102453,"score_spread":0.2331225747579225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2460362911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837659,0.0002822427,0.00417982,0.0012468091,0.00011159141,0.000032089505,0.00062623684,0.0002842573,0.009471102],"genre_scores_gemma":[0.9961972,0.00009711593,0.0027507981,0.00009078958,0.000020302261,0.000008194184,0.00039141116,0.000043079606,0.00040116624],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993363,0.0002454849,0.000048144782,0.00010490505,0.00018539929,0.000079772544],"domain_scores_gemma":[0.99339724,0.0037988396,0.0004815072,0.0010175044,0.0010704298,0.00023445043],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017775908,0.00052893773,0.0003420858,0.0007028577,0.0004206829,0.0014228609,0.0009913434,0.0010965901,0.0016814852],"category_scores_gemma":[0.013802224,0.00038854513,0.00058679166,0.00096112397,0.0006074014,0.0013429072,0.0006525304,0.001111143,0.00019104345],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00076049025,0.00042128275,0.118299626,0.00016335567,0.00029286704,0.0004979171,0.0002805956,0.83175415,0.005469789,0.0068648052,0.0034397314,0.0317554],"study_design_scores_gemma":[0.00010389023,0.0001432708,0.032709938,0.00003916966,0.00007125863,0.00005045337,0.00014983153,0.95942044,0.0034480335,0.0020392356,0.0017902139,0.000034282995],"about_ca_topic_score_codex":0.013958125,"about_ca_topic_score_gemma":0.014177958,"teacher_disagreement_score":0.013958125,"about_ca_system_score_codex":0.00072103966,"about_ca_system_score_gemma":0.00045560894,"threshold_uncertainty_score":0.02775377},"labels":[],"label_agreement":null},{"id":"W2464762248","doi":"10.1007/s00382-016-3243-z","title":"The influence of boreal spring Arctic Oscillation on the subsequent winter ENSO in CMIP5 models","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Climatology; El Niño Southern Oscillation; Boreal; Spring (device); Environmental science; The arctic; Arctic; Oscillation (cell signaling); Arctic oscillation; Atmospheric sciences; Oceanography; Geology; Northern Hemisphere","score_opus":0.016136924800613295,"score_gpt":0.22717702722492666,"score_spread":0.21104010242431337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2464762248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847431,0.0008322112,0.0026785696,0.0014889857,0.00020733479,0.000017999639,0.0009392348,0.00027668968,0.008815838],"genre_scores_gemma":[0.9985091,0.00017767833,0.00032136068,0.00007692294,0.00003844539,0.0000068811873,0.0002155716,0.00009906733,0.00055487483],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943,0.00027888332,0.000040208535,0.00010371534,0.00005109078,0.00009606822],"domain_scores_gemma":[0.9961612,0.0025543552,0.0002760035,0.00027413544,0.00033733132,0.0003968814],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019547755,0.0010593322,0.0005203595,0.0004337944,0.0012293203,0.0018117436,0.0011600964,0.0018698801,0.002647403],"category_scores_gemma":[0.011824699,0.00093854737,0.00077073084,0.00046930497,0.0008494096,0.001726783,0.0010792753,0.0014007877,0.0002830661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00062545255,0.00018928072,0.04995757,0.000111953195,0.00032377744,0.0001901263,0.00022601108,0.93045557,0.0049815616,0.0038612233,0.0033589804,0.005718394],"study_design_scores_gemma":[0.000115357325,0.00006795505,0.024881583,0.00003556193,0.00014479888,0.000029232702,0.00009738939,0.9712877,0.0013636554,0.001024571,0.0009095632,0.000042605596],"about_ca_topic_score_codex":0.10298119,"about_ca_topic_score_gemma":0.09713687,"teacher_disagreement_score":0.10298119,"about_ca_system_score_codex":0.0015542435,"about_ca_system_score_gemma":0.0013997143,"threshold_uncertainty_score":0.20476353},"labels":[],"label_agreement":null},{"id":"W2466417742","doi":"10.1007/s00382-016-3246-9","title":"Non-stationary analysis of the frequency and intensity of heavy precipitation over Canada and their relations to large-scale climate patterns","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Precipitation; Pacific decadal oscillation; Climatology; Generalized Pareto distribution; Environmental science; Generalized extreme value distribution; Poisson distribution; Climate model; Climate change; Extreme value theory; North Atlantic oscillation; Spatial distribution; El Niño Southern Oscillation; Atmospheric sciences; Geography; Geology; Oceanography; Meteorology; Mathematics","score_opus":0.005643779167494219,"score_gpt":0.20716685847055333,"score_spread":0.2015230793030591,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2466417742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837446,0.00008640069,0.00049806724,0.000119660464,0.000003665729,0.0000030503784,0.0002798168,0.000009799481,0.0006250277],"genre_scores_gemma":[0.9993017,0.00004212136,0.000113928065,0.000009825237,0.0000026810849,0.0000014142074,0.00025834717,0.00000370401,0.00026623753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998499,0.000017252729,0.000006301846,0.000035377077,0.000035526347,0.000055629534],"domain_scores_gemma":[0.99913245,0.00025695458,0.000121361925,0.000049168953,0.00028822507,0.00015182472],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040113594,0.00018171985,0.00019729072,0.0007271074,0.0010329713,0.00084955,0.00067709934,0.00031930069,0.0011301058],"category_scores_gemma":[0.0019752383,0.00022351692,0.0003601189,0.0014894047,0.0008012907,0.00031984635,0.00039883424,0.0004984057,0.000083102444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021584262,0.00008796499,0.8871379,0.000042794243,0.00024310993,0.00023753922,0.0006677068,0.0869055,0.006973485,0.0036529477,0.0011439621,0.012691203],"study_design_scores_gemma":[0.000008560102,0.000005229723,0.9442576,0.000004919086,0.000022883327,0.000018912724,0.0003246986,0.05422072,0.00020838181,0.0004365357,0.0004767058,0.000014748853],"about_ca_topic_score_codex":0.96221936,"about_ca_topic_score_gemma":0.96148074,"teacher_disagreement_score":0.037780643,"about_ca_system_score_codex":0.0064769983,"about_ca_system_score_gemma":0.00554306,"threshold_uncertainty_score":0.07600623},"labels":[],"label_agreement":null},{"id":"W246852329","doi":"10.1007/s00382-015-2514-4","title":"Attributing observed Greenland responses to natural and anthropogenic climate forcings","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Climatology; Environmental science; Natural (archaeology); Climate change; Climate model; Atmospheric sciences; Geology; Oceanography","score_opus":0.04774985557882179,"score_gpt":0.2800551766575073,"score_spread":0.2323053210786855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W246852329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99741626,0.000035545858,0.0010005886,0.00011540607,0.000009567111,0.000005054704,0.00032452293,0.000050020295,0.0010429664],"genre_scores_gemma":[0.9995352,0.000022230122,0.00015799195,0.000015940377,0.0000024189264,0.0000022185952,0.00014860595,0.000013251838,0.000102238766],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997447,0.00010110768,0.000011871258,0.000069149966,0.000015872489,0.000057250847],"domain_scores_gemma":[0.99886996,0.0005643552,0.00012728965,0.00025399885,0.00009140585,0.00009288601],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009704234,0.00033281237,0.00027040672,0.00047209373,0.00033826436,0.0008966659,0.00051043427,0.00056639203,0.0015976371],"category_scores_gemma":[0.002956057,0.00026419578,0.00059581036,0.0007945108,0.0007769727,0.0007359543,0.00060780934,0.00047086907,0.00016237354],"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":[0.00038993094,0.000120646,0.52378887,0.00007790108,0.0004145779,0.00019514358,0.00042187612,0.44733,0.014230885,0.0043096105,0.0009414213,0.007779069],"study_design_scores_gemma":[0.000053300268,0.000051919746,0.6297605,0.000016552125,0.00008655689,0.00004012701,0.00040649687,0.36066437,0.0027555102,0.0049486966,0.0011771416,0.000038862847],"about_ca_topic_score_codex":0.039355636,"about_ca_topic_score_gemma":0.053458545,"teacher_disagreement_score":0.039355636,"about_ca_system_score_codex":0.0020201325,"about_ca_system_score_gemma":0.00055182795,"threshold_uncertainty_score":0.07825315},"labels":[],"label_agreement":null},{"id":"W2469957987","doi":"10.1007/s00382-016-3260-y","title":"Lake–river and lake–atmosphere interactions in a changing climate over Northeast Canada","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Climatology; Climate change; Climate model; Precipitation; Forcing (mathematics); Streamflow; Interim; Hydrology (agriculture); Drainage basin; Meteorology; Geography; Geology","score_opus":0.004720197482046274,"score_gpt":0.20136258197826085,"score_spread":0.19664238449621457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2469957987","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974547,0.00012414208,0.00007438335,0.0006972103,0.000006923924,0.0000043740915,0.0003967564,0.00000522877,0.0012364254],"genre_scores_gemma":[0.99814606,0.0001451146,0.00007303294,0.000074217154,0.000004716011,0.0000029315825,0.00021999046,0.0000054541756,0.0013283949],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996692,0.000037533377,0.000012966365,0.000055626537,0.00005884692,0.00016585033],"domain_scores_gemma":[0.99907124,0.00012773098,0.00010807119,0.000022109234,0.0003674881,0.0003033401],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004773999,0.00018098322,0.00034708547,0.0006011878,0.0034627372,0.0024283563,0.000945329,0.0007566077,0.00307687],"category_scores_gemma":[0.0014567968,0.0003016689,0.0004351429,0.0022610056,0.0013827072,0.00094474235,0.001157783,0.0008795987,0.0001571444],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018611197,0.000111287256,0.97602934,0.000035514804,0.00016878173,0.0002754231,0.0055010105,0.0036512804,0.0012990175,0.0015276315,0.0026450315,0.008569572],"study_design_scores_gemma":[0.00000804431,0.000005917038,0.9886734,0.00001300006,0.00003994094,0.000019659179,0.0059588333,0.0030076853,0.00009468597,0.00015768275,0.0020027405,0.000018369283],"about_ca_topic_score_codex":0.9967353,"about_ca_topic_score_gemma":0.9988187,"teacher_disagreement_score":0.03446161,"about_ca_system_score_codex":0.03446161,"about_ca_system_score_gemma":0.030968146,"threshold_uncertainty_score":0.25003767},"labels":[],"label_agreement":null},{"id":"W2470030894","doi":"10.1007/s00382-016-3239-8","title":"Investigation of the 2013 Alberta flood from weather and climate perspectives","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Impact; McGill University; Pacific Institute for Climate Solutions; University of Victoria; Ouranos; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Precipitation; Evapotranspiration; Orography; Flood myth; Climatology; Snowmelt; Surface runoff; Snow; Climate change; Orographic lift; Greenhouse gas; Hydrology (agriculture); Meteorology; Geography; Geology; Ecology","score_opus":0.011299243990054417,"score_gpt":0.18803428142124293,"score_spread":0.1767350374311885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470030894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951267,0.0002822774,0.0003777833,0.0008040998,0.000046277644,0.000028361917,0.009378854,0.0000485364,0.03776695],"genre_scores_gemma":[0.9861624,0.0005504753,0.00037468623,0.000107829896,0.000040111972,0.000013555535,0.0036139134,0.000010676362,0.009126444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999052,0.000007157494,0.000002653944,0.000007402664,0.00004971983,0.0000279278],"domain_scores_gemma":[0.99970335,0.000032341657,0.000049930055,0.000009262302,0.00013968247,0.00006539777],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002401684,0.00009958994,0.000060760874,0.0008518452,0.0006056025,0.0006669276,0.00016945842,0.00014470748,0.0019908207],"category_scores_gemma":[0.00048090765,0.000052840198,0.00008558154,0.0014507504,0.00018896116,0.00019229387,0.0002267001,0.00025671793,0.00016547486],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019262519,0.00006721333,0.92624915,0.000068676396,0.0000445959,0.00079276646,0.002656253,0.0028397804,0.0027433266,0.0022649006,0.017945055,0.044135693],"study_design_scores_gemma":[0.0000014558739,0.0000075656235,0.99087244,0.0000067497963,0.00000481715,0.000025294305,0.0011705961,0.0006328716,0.0001287084,0.00011276536,0.0070324675,0.000004231402],"about_ca_topic_score_codex":0.73961604,"about_ca_topic_score_gemma":0.9264251,"teacher_disagreement_score":0.26038396,"about_ca_system_score_codex":0.0038134034,"about_ca_system_score_gemma":0.003927102,"threshold_uncertainty_score":0.5238348},"labels":[],"label_agreement":null},{"id":"W2475473035","doi":"10.1007/s00382-016-3301-6","title":"Which way will the circulation shift in a changing climate? Possible nonlinearity of extratropical cloud feedbacks","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fondation BNP Paribas; Environment and Climate Change Canada; National Center for Atmospheric Research","keywords":"Cloud feedback; Extratropical cyclone; Climatology; Climate model; Atmospheric sciences; Cloud albedo; Baroclinity; Middle latitudes; Forcing (mathematics); Cloud forcing; Jet (fluid); Environmental science; Ice-albedo feedback; Physics; Climate change; Geology; Climate sensitivity; Cloud cover; Cloud computing; Mechanics; Arctic ice pack; Sea ice","score_opus":0.011830625477589292,"score_gpt":0.24032249918309376,"score_spread":0.22849187370550447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2475473035","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806192,0.00027086888,0.0068516475,0.004502301,0.00008781012,0.000010642909,0.00025525715,0.00013925819,0.007263017],"genre_scores_gemma":[0.9990571,0.000095992,0.00029493013,0.000085317304,0.000017836792,0.0000026528085,0.000021349475,0.0000124480275,0.00041225625],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983954,0.000055146695,0.000009712225,0.000039551403,0.00001619916,0.000039834635],"domain_scores_gemma":[0.9992368,0.00029139005,0.000118655946,0.00011809915,0.000112065325,0.00012293752],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005636992,0.00019649828,0.00039796717,0.00026249723,0.00046450828,0.0015015897,0.000531669,0.0008709278,0.0041317777],"category_scores_gemma":[0.0043999064,0.00027591735,0.00040035433,0.00037445794,0.0008001881,0.0029652975,0.0007978871,0.00081895874,0.0002511918],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005371053,0.0001684878,0.31825286,0.00023762367,0.00038945235,0.0007254844,0.0019543802,0.49646,0.033842843,0.10912848,0.005371576,0.03293175],"study_design_scores_gemma":[0.00007633292,0.000048878508,0.16745335,0.00005008977,0.00007205192,0.00020134707,0.0008364796,0.74345845,0.0010384956,0.083686225,0.0029953257,0.00008291828],"about_ca_topic_score_codex":0.009178677,"about_ca_topic_score_gemma":0.0086282315,"teacher_disagreement_score":0.009178677,"about_ca_system_score_codex":0.00057617034,"about_ca_system_score_gemma":0.0005017663,"threshold_uncertainty_score":0.018250465},"labels":[],"label_agreement":null},{"id":"W2482743514","doi":"10.1007/s00382-016-3291-4","title":"Attribution of spring snow water equivalent (SWE) changes over the northern hemisphere to anthropogenic effects","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Université du Québec à Montréal","funders":"","keywords":"Northern Hemisphere; Climatology; Environmental science; Forcing (mathematics); Snowmelt; Snow; Spring (device); Greenhouse gas; Atmospheric sciences; Climate model; Cryosphere; Climate change; Southern Hemisphere; Radiative forcing; Geology; Geography; Sea ice; Meteorology; Oceanography","score_opus":0.01392531267465296,"score_gpt":0.2269460720449807,"score_spread":0.21302075937032774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2482743514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965383,0.00011365724,0.0009641288,0.00007770037,0.00002034457,0.0000064054284,0.0012711884,0.000099493984,0.0009089037],"genre_scores_gemma":[0.99798965,0.00008543098,0.0002686215,0.00001256659,0.00001269617,0.0000038608378,0.0014547857,0.000014328534,0.00015796367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998154,0.00003310494,0.000013306265,0.000071379334,0.000033975302,0.000032863954],"domain_scores_gemma":[0.99966013,0.0000798456,0.00010505019,0.000054824144,0.00006244583,0.00003764409],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811766,0.00034194707,0.00018091645,0.00043763864,0.00015728801,0.00056506804,0.00020180208,0.00025528713,0.00090003415],"category_scores_gemma":[0.0009558621,0.00016003121,0.0006190127,0.0005933147,0.00021333214,0.00038146024,0.00036547848,0.0001727319,0.00012254727],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021528944,0.000045418943,0.9158813,0.00006262252,0.00037391172,0.000284899,0.0001730954,0.05279459,0.010365736,0.0002893858,0.0011327163,0.018381074],"study_design_scores_gemma":[0.000015658592,0.000024660327,0.94627964,0.000008035485,0.00004948029,0.000052217216,0.0001027108,0.050822936,0.0014215759,0.0001954322,0.0010133906,0.000014256835],"about_ca_topic_score_codex":0.020875564,"about_ca_topic_score_gemma":0.021104086,"teacher_disagreement_score":0.020875564,"about_ca_system_score_codex":0.00046155945,"about_ca_system_score_gemma":0.0003039261,"threshold_uncertainty_score":0.04150814},"labels":[],"label_agreement":null},{"id":"W2505817620","doi":"10.1007/s00382-016-3278-1","title":"Strong effects of tropical ice-sheet coverage and thickness on the hard snowball Earth bifurcation point","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Peking University; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Ministry of Education of the People's Republic of China; Curtin University of Technology; Compute Canada","keywords":"Snowball Earth; Ice sheet; Geology; Glacial period; Climate state; Climatology; Climate model; Atmospheric sciences; Ice-sheet model; Sea ice growth processes; Environmental science; Global warming; Geomorphology; Sea ice; Climate change; Drift ice; Arctic ice pack; Effects of global warming; Oceanography","score_opus":0.011753017406525358,"score_gpt":0.2260996975177874,"score_spread":0.21434668011126207,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505817620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825484,0.00006182193,0.00019044966,0.000091466274,0.000007711799,0.0000015404516,0.00007139813,0.000012370886,0.0013083597],"genre_scores_gemma":[0.9998369,0.000016205528,0.000015730351,0.000008328536,0.0000041321196,4.6585626e-7,0.000023950583,0.0000046103632,0.0000896064],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998641,0.000040933686,0.0000074974346,0.000020441066,0.000010023572,0.00005701553],"domain_scores_gemma":[0.99746007,0.001589159,0.00020341505,0.000109796376,0.000091609785,0.0005460169],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056873035,0.00027976572,0.00050471997,0.00067764486,0.00045382205,0.00082321744,0.0002547464,0.000435174,0.00670466],"category_scores_gemma":[0.003134049,0.0002726712,0.00044249088,0.0002021755,0.00077863,0.0005091371,0.0010159086,0.0005540837,0.0003355521],"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":[0.0069319014,0.0005229705,0.6320945,0.0002301394,0.0007137802,0.0026598934,0.0008060356,0.08253505,0.24841934,0.0073319892,0.002501166,0.015253207],"study_design_scores_gemma":[0.00016171209,0.00036163922,0.92507064,0.000036712776,0.00028802603,0.00025672177,0.0007448517,0.060510885,0.008764358,0.0033063707,0.00043859414,0.000059609814],"about_ca_topic_score_codex":0.00229749,"about_ca_topic_score_gemma":0.0030493073,"teacher_disagreement_score":0.00670466,"about_ca_system_score_codex":0.00029903275,"about_ca_system_score_gemma":0.00027735002,"threshold_uncertainty_score":0.022429287},"labels":[],"label_agreement":null},{"id":"W2523012708","doi":"10.1007/s00382-016-3354-6","title":"Arctic climate and its interaction with lower latitudes under different levels of anthropogenic warming in a global coupled climate model","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Supercomputer Centre, Linköpings Universitet; NordForsk; National Science Council","keywords":"Climatology; Sea ice; Environmental science; Arctic ice pack; Arctic; Arctic sea ice decline; Ocean gyre; Global warming; Climate model; Arctic geoengineering; North Atlantic oscillation; Arctic dipole anomaly; Arctic oscillation; Forcing (mathematics); Latitude; Climate change; Oceanography; Atmospheric sciences; Geology; Drift ice; Northern Hemisphere","score_opus":0.018263962187194026,"score_gpt":0.25187330269253766,"score_spread":0.23360934050534363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2523012708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99421304,0.00013052662,0.0013885102,0.00022006014,0.000042966753,0.000014891242,0.001580626,0.00008026839,0.002329068],"genre_scores_gemma":[0.9966342,0.00010014368,0.001131718,0.000053847958,0.00000897157,0.000034632933,0.0014200876,0.000027614784,0.00058881537],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985456,0.000053739444,0.000009362905,0.000035382305,0.000012414319,0.00003443049],"domain_scores_gemma":[0.9996979,0.00012241522,0.000039438124,0.000024703322,0.000059581664,0.000055964698],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050447125,0.0007520689,0.00071568415,0.00042563415,0.0005610992,0.0011838665,0.0008902289,0.0013766695,0.0018804623],"category_scores_gemma":[0.0009104923,0.00042938895,0.0016341739,0.00067976385,0.0004985102,0.0006513198,0.00060787104,0.000958863,0.00020153115],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019568588,0.00010121029,0.012476795,0.000045532513,0.00019952528,0.00011067826,0.000041298954,0.9831996,0.0014407358,0.000809926,0.0005653052,0.00081373786],"study_design_scores_gemma":[0.00012543007,0.00012520418,0.011710327,0.000014749528,0.00011971018,0.000020754138,0.00008214059,0.98637944,0.00046394148,0.0004387565,0.00048168725,0.000037850295],"about_ca_topic_score_codex":0.09541478,"about_ca_topic_score_gemma":0.052689407,"teacher_disagreement_score":0.09541478,"about_ca_system_score_codex":0.0012755796,"about_ca_system_score_gemma":0.0012701548,"threshold_uncertainty_score":0.18971884},"labels":[],"label_agreement":null},{"id":"W2525171728","doi":"10.1007/s00382-016-3366-2","title":"Impact of climate change and El Niño episodes on droughts in sub-Saharan Africa","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Precipitation; Climatology; Climate model; Climate extremes; Environmental science; Geography; Physical geography; Geology; Oceanography","score_opus":0.014241742912487374,"score_gpt":0.256684267047911,"score_spread":0.2424425241354236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2525171728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983157,0.0003061194,0.000038974427,0.0002196645,0.00001755218,0.0000031558225,0.00025526376,0.0000031867312,0.0008405329],"genre_scores_gemma":[0.9992293,0.00037393393,0.000028075152,0.000028450662,0.000023807152,0.0000032877047,0.00017656904,0.000002031683,0.0001345323],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994765,0.00018240698,0.000037123595,0.000050822717,0.000040361738,0.00021279622],"domain_scores_gemma":[0.99905175,0.00036751459,0.00027308136,0.000035319725,0.00009638933,0.0001760323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011109732,0.00034037142,0.00033252058,0.0009969904,0.0007007782,0.0014036327,0.0002803764,0.00060875725,0.0019751857],"category_scores_gemma":[0.0030563532,0.00027578455,0.00044284452,0.0016420581,0.0006652844,0.0012751654,0.0010473955,0.00057994964,0.0001272182],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00080324436,0.00023156402,0.97335625,0.00010710981,0.0005158579,0.0011756512,0.0009987323,0.0076936088,0.0017573993,0.0013279013,0.00066603074,0.011366637],"study_design_scores_gemma":[0.000023864573,0.00006572602,0.99388725,0.000021879407,0.00013346868,0.00009445645,0.0014520492,0.0028722484,0.00021504023,0.00026912938,0.00095401146,0.000010884668],"about_ca_topic_score_codex":0.03494434,"about_ca_topic_score_gemma":0.04962768,"teacher_disagreement_score":0.03494434,"about_ca_system_score_codex":0.0014501986,"about_ca_system_score_gemma":0.0008618318,"threshold_uncertainty_score":0.06948191},"labels":[],"label_agreement":null},{"id":"W2529008061","doi":"10.1007/s00382-016-3372-4","title":"Multi-scale enhancement of climate prediction over land by increasing the model sensitivity to vegetation variability in EC-Earth","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":54,"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":"Seventh Framework Programme; European Commission","keywords":"Environmental science; Climatology; Vegetation (pathology); Albedo (alchemy); Boreal; Leaf area index; Climate change; Climate model; Atmospheric sciences; Predictability; Taiga; Evapotranspiration; Northern Hemisphere; Physical geography; Geology; Geography; Ecology","score_opus":0.009210723770729103,"score_gpt":0.2337368736710228,"score_spread":0.2245261499002937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2529008061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9749356,0.00018395163,0.0155111905,0.00034770914,0.00008692103,0.000041418276,0.0013477814,0.0007430089,0.0068024276],"genre_scores_gemma":[0.9926704,0.000074588745,0.0060157296,0.000057566627,0.000013383461,0.000031188367,0.0006086851,0.00007810834,0.0004503754],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982685,0.00005453467,0.000014391922,0.00004435439,0.000030467641,0.00002932664],"domain_scores_gemma":[0.99946684,0.0002472503,0.00004588591,0.000097001044,0.000093836235,0.000049177386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005591913,0.0006117404,0.00058616616,0.00028855802,0.00026488813,0.0008124398,0.0008303045,0.0008415274,0.0015718223],"category_scores_gemma":[0.0017201632,0.00029200997,0.00058700086,0.0004892293,0.00031569955,0.0006062496,0.00060430664,0.0008762522,0.00016224913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006703468,0.000057191828,0.0044375267,0.000022713417,0.00003686843,0.000039479357,0.000024172152,0.99132395,0.0012228678,0.00039181657,0.00025455648,0.00212175],"study_design_scores_gemma":[0.000023454215,0.000019357305,0.0017614912,0.000002863069,0.000012480756,0.000007004963,0.0000086079735,0.9972146,0.0005619301,0.00012172837,0.00026014302,0.000006302895],"about_ca_topic_score_codex":0.031721245,"about_ca_topic_score_gemma":0.01433286,"teacher_disagreement_score":0.031721245,"about_ca_system_score_codex":0.00046283405,"about_ca_system_score_gemma":0.0006409419,"threshold_uncertainty_score":0.06307322},"labels":[],"label_agreement":null},{"id":"W2532214167","doi":"10.1007/s00382-016-3404-0","title":"Projected changes to short- and long-duration precipitation extremes over the Canadian Prairie Provinces","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; University of Saskatchewan; Global Institute for Water Security","funders":"Canada Excellence Research Chairs, Government of Canada; Canada Research Chairs; Global Institute for Water Security, University of Saskatchewan; University of Saskatchewan","keywords":"Climatology; Precipitation; Environmental science; Climate model; Return period; Climate change; General Circulation Model; Meteorology; Geography; Geology","score_opus":0.01967930915408446,"score_gpt":0.2498180200451768,"score_spread":0.23013871089109234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2532214167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9774271,0.0005446593,0.0016682756,0.001652297,0.000045040924,0.000029331115,0.01113539,0.00012098814,0.007376897],"genre_scores_gemma":[0.9946637,0.0003760774,0.0007592362,0.000076624805,0.0000061389846,0.000013446142,0.0021328214,0.000010073556,0.0019618678],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99966,0.000030250181,0.00001565108,0.000059080307,0.00010447938,0.0001305595],"domain_scores_gemma":[0.9992275,0.000054519343,0.00006621012,0.000021355008,0.00048966624,0.00014068699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056679465,0.00034307537,0.0002614791,0.0006224719,0.0016671561,0.0011422362,0.0010573796,0.00047523444,0.0021537582],"category_scores_gemma":[0.0014160513,0.00027664276,0.0006120285,0.0014184451,0.00049618445,0.0005006464,0.0006554892,0.00068696024,0.00015687582],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005536242,0.00014807763,0.6223654,0.00017800507,0.0006151808,0.00040990254,0.0011348911,0.3136608,0.0035058733,0.0067184404,0.015371698,0.035338134],"study_design_scores_gemma":[0.00008886082,0.000033661887,0.8471118,0.000043754364,0.000120451674,0.000076964556,0.0014252362,0.13366336,0.00064630085,0.0013019199,0.0153812375,0.000106371845],"about_ca_topic_score_codex":0.9938287,"about_ca_topic_score_gemma":0.99643683,"teacher_disagreement_score":0.026473442,"about_ca_system_score_codex":0.026473442,"about_ca_system_score_gemma":0.022652118,"threshold_uncertainty_score":0.19207913},"labels":[],"label_agreement":null},{"id":"W2552021448","doi":"10.1007/s00382-016-3450-7","title":"Probabilistic projections of regional climatic changes over the Great Lakes Basin","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Regina; Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; National Key Research and Development Program of China; Higher Education Discipline Innovation Project; Met Office","keywords":"Precipitation; Structural basin; Environmental science; Climate change; Climatology; Drainage basin; Global warming; Climate model; Magnitude (astronomy); Climate extremes; Physical geography; Geography; Geology; Meteorology; Oceanography","score_opus":0.016478566842097437,"score_gpt":0.2332852828127275,"score_spread":0.21680671597063006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2552021448","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97980106,0.00022427714,0.012855208,0.0009514169,0.000028088554,0.000023362616,0.0035456675,0.00012664085,0.002444268],"genre_scores_gemma":[0.9957676,0.00019698021,0.0020668162,0.00002170591,0.000011303398,0.0000239201,0.0013253792,0.000009406788,0.0005769062],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975866,0.00012842921,0.000013549137,0.000046168592,0.000032484684,0.000020672542],"domain_scores_gemma":[0.99897647,0.0005876541,0.00016514641,0.0000634917,0.00012012022,0.00008712677],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00088919204,0.00034037046,0.00022397838,0.0005327521,0.00025642538,0.0006782884,0.0005384689,0.0005639155,0.0018777371],"category_scores_gemma":[0.0028481365,0.00042062975,0.00043741468,0.0008866329,0.00035922104,0.0007450017,0.0005314509,0.00058132573,0.00019915712],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007957067,0.000012835543,0.010533082,0.0000121355615,0.00004211278,0.000037943726,0.000029834138,0.98501945,0.00011850616,0.0016653864,0.0004338675,0.002015312],"study_design_scores_gemma":[0.00002850769,0.000033783184,0.011256134,0.000007877049,0.00003020918,0.00002453161,0.00006583489,0.98384523,0.00012263478,0.004017247,0.0005533704,0.000014474617],"about_ca_topic_score_codex":0.03388813,"about_ca_topic_score_gemma":0.05674358,"teacher_disagreement_score":0.03388813,"about_ca_system_score_codex":0.00092794397,"about_ca_system_score_gemma":0.0008668731,"threshold_uncertainty_score":0.06738174},"labels":[],"label_agreement":null},{"id":"W2554572728","doi":"10.1007/s00382-016-3443-6","title":"An efficient statistical approach to multi-site downscaling of daily precipitation series in the context of climate change","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Downscaling; Precipitation; Climatology; Environmental science; Context (archaeology); Intermittency; Climate change; Climate model; Spatial ecology; Scale (ratio); Meteorology; Geography; Geology; Cartography","score_opus":0.028608551458008488,"score_gpt":0.2731399303984629,"score_spread":0.2445313789404544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2554572728","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009247347,0.00014064567,0.9895689,0.00010199221,0.00004778141,0.000027368962,0.000118856326,0.00047890653,0.00026808912],"genre_scores_gemma":[0.19052054,0.00039282095,0.80555916,0.000097509466,0.0002345179,0.0002056302,0.001144099,0.00033697888,0.0015087388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99912745,0.00028833086,0.00009284088,0.0001305217,0.0002831615,0.000077815595],"domain_scores_gemma":[0.9976833,0.0012155103,0.00015573316,0.0003592791,0.0005032332,0.000083030194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018830253,0.00076778024,0.0012335929,0.0014430261,0.00059493736,0.0011379762,0.0017068898,0.0007126511,0.00206496],"category_scores_gemma":[0.008243088,0.00082048506,0.0010299487,0.002553465,0.00049913715,0.0014135925,0.0014215054,0.0012752266,0.0007188051],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012968185,0.00013966286,0.0022491291,0.000095143296,0.00016420799,0.000149547,0.00007181088,0.6335107,0.0068726703,0.01607526,0.0033509752,0.33719113],"study_design_scores_gemma":[0.0000066401867,0.000009848231,0.00042017072,0.0000018174012,0.000008982724,0.000014886091,0.000006955207,0.9950594,0.0004720895,0.0034975265,0.00049591233,0.0000057312013],"about_ca_topic_score_codex":0.010058553,"about_ca_topic_score_gemma":0.020564314,"teacher_disagreement_score":0.010058553,"about_ca_system_score_codex":0.00050251465,"about_ca_system_score_gemma":0.0021695287,"threshold_uncertainty_score":0.01999998},"labels":[],"label_agreement":null},{"id":"W2555273078","doi":"10.1007/s00382-016-3439-2","title":"A road map for improving dry-bias in simulating the South Asian monsoon precipitation by climate models","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Max-Planck-Institut für Polymerforschung; Indian Institute of Science Education and Research Mohali; Ministry of Earth Sciences; U.S. Department of Energy","keywords":"Climatology; Precipitation; Environmental science; Climate model; Variance (accounting); Monsoon; Atmospheric sciences; Climate change; Meteorology; Geology; Geography","score_opus":0.024458111348194814,"score_gpt":0.2516035779521837,"score_spread":0.22714546660398888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2555273078","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":[0.12153412,0.001155268,0.8446789,0.0016546044,0.0004563297,0.0004338161,0.00340802,0.010795283,0.015883686],"genre_scores_gemma":[0.50864005,0.0008136539,0.48203513,0.00018156927,0.000107514585,0.00043474446,0.0034675153,0.00054971635,0.0037702194],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99975735,0.00009187411,0.00002204142,0.00004165617,0.000060047387,0.000027007902],"domain_scores_gemma":[0.99901736,0.00030485407,0.00004728519,0.00012395003,0.00042466552,0.00008182547],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083166687,0.0009754335,0.00072504167,0.0009387992,0.00093261024,0.0013600982,0.0010831001,0.0010004506,0.006906023],"category_scores_gemma":[0.0032221505,0.00046423802,0.0006762214,0.0006720514,0.0003172546,0.0013837722,0.0014912395,0.0012497107,0.0008548399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040524287,0.0002855342,0.005431589,0.00019987693,0.00013655743,0.00015900239,0.000092153314,0.8239266,0.00481217,0.01604202,0.012255799,0.13625346],"study_design_scores_gemma":[0.000042220276,0.00002740765,0.00060081185,0.000017885444,0.000019831998,0.0000092172495,0.00002638967,0.9888993,0.0007843727,0.006625373,0.0029320656,0.000015223975],"about_ca_topic_score_codex":0.033862744,"about_ca_topic_score_gemma":0.030680176,"teacher_disagreement_score":0.033862744,"about_ca_system_score_codex":0.00054150453,"about_ca_system_score_gemma":0.0018764747,"threshold_uncertainty_score":0.067331254},"labels":[],"label_agreement":null},{"id":"W2560372674","doi":"10.1007/s00382-016-3467-y","title":"Mechanisms of decadal variability in the Labrador Sea and the wider North Atlantic in a high-resolution climate model","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Seventh Framework Programme; Met Office; Natural Environment Research Council; Sight Research UK","keywords":"Ocean gyre; Climatology; North Atlantic oscillation; Thermohaline circulation; Oceanography; Atlantic multidecadal oscillation; Climate model; Ocean current; Ridge; Geology; Sea surface temperature; North Atlantic Deep Water; Climate change; Environmental science","score_opus":0.009069603706829302,"score_gpt":0.2117643379691733,"score_spread":0.202694734262344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560372674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988154,0.0003148896,0.0041092406,0.0005916435,0.000041725427,0.000013846386,0.0022065311,0.0003367919,0.004231381],"genre_scores_gemma":[0.997437,0.00012016019,0.0009170478,0.000053918324,0.000010688833,0.000014944276,0.0007817098,0.000049961644,0.0006144479],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985445,0.00004564079,0.000009714603,0.000045793084,0.000015344085,0.000028995006],"domain_scores_gemma":[0.99978906,0.000055250774,0.000042293086,0.00004459298,0.000032583313,0.000036225287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054205966,0.00040637393,0.0004004799,0.00033929467,0.0003870809,0.001428579,0.00089655904,0.00085013744,0.0015562811],"category_scores_gemma":[0.0010991561,0.00031338749,0.00081633695,0.0006475143,0.00043048628,0.0006238528,0.0004950395,0.00069779134,0.00021793474],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000201346,0.00008859338,0.0633265,0.000048780275,0.0002970515,0.00021058765,0.00014190165,0.92004037,0.0036919755,0.004787701,0.0017950884,0.0053701797],"study_design_scores_gemma":[0.000067375455,0.000038261303,0.049979318,0.000018382378,0.00009139209,0.00004178162,0.00012177729,0.9458709,0.0005416974,0.0013561654,0.0018312468,0.000041872885],"about_ca_topic_score_codex":0.062771015,"about_ca_topic_score_gemma":0.041944556,"teacher_disagreement_score":0.062771015,"about_ca_system_score_codex":0.0010234675,"about_ca_system_score_gemma":0.00083159155,"threshold_uncertainty_score":0.12481129},"labels":[],"label_agreement":null},{"id":"W2567004499","doi":"10.1007/s00382-016-3495-7","title":"Response of the North Atlantic dynamic sea level and circulation to Greenland meltwater and climate change in an eddy-permitting ocean model","year":2016,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meltwater; Shutdown of thermohaline circulation; Ocean gyre; Thermohaline circulation; Oceanography; Climatology; Geology; Sea ice; North Atlantic Deep Water; Ocean current; Environmental science; Glacial period; Geomorphology","score_opus":0.03177222484103898,"score_gpt":0.2582903450480859,"score_spread":0.22651812020704692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2567004499","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952625,0.00006064684,0.0018849997,0.00017879135,0.00001972557,0.000016902111,0.0006267518,0.00013307288,0.0018166745],"genre_scores_gemma":[0.99676585,0.000051228035,0.0015597452,0.000045016997,0.000009874494,0.000027461108,0.00069553213,0.000028609114,0.00081670535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990046,0.00003074022,0.000006803187,0.000026963895,0.000011116425,0.000024004083],"domain_scores_gemma":[0.99965715,0.00014285707,0.000050480645,0.0000363851,0.000048982514,0.000064089065],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003770117,0.0005536516,0.00060916936,0.00027751984,0.00041190503,0.0009737149,0.0009119918,0.0012705008,0.0012813178],"category_scores_gemma":[0.00092613813,0.00044161858,0.0008765888,0.00026034523,0.0004758441,0.0005317121,0.0006035995,0.0006609402,0.00017172981],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015330005,0.00007062095,0.010452615,0.000015630072,0.00008802533,0.00006775371,0.000024853798,0.9860854,0.0012704724,0.00041379523,0.0002368186,0.0011207443],"study_design_scores_gemma":[0.000041253465,0.000036832393,0.003212551,0.00000236792,0.000016649477,0.000004162207,0.000010542235,0.99630874,0.0001432613,0.00010575087,0.00011115589,0.0000066007115],"about_ca_topic_score_codex":0.08835185,"about_ca_topic_score_gemma":0.05777431,"teacher_disagreement_score":0.08835185,"about_ca_system_score_codex":0.001370424,"about_ca_system_score_gemma":0.0011543465,"threshold_uncertainty_score":0.17567515},"labels":[],"label_agreement":null},{"id":"W2586967899","doi":"10.1007/s00382-017-3525-0","title":"KNN-based local linear regression for the analysis and simulation of low flow extremes under climatic influence","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"State Key Laboratory of Numerical Modeling for Atmospheric Sciences and Geophysical Fluid Dynamics; National Research Foundation of Korea","keywords":"Heteroscedasticity; Resampling; Nonlinear system; Statistics; Econometrics; Mathematics; Variance (accounting); Linear regression; Climatology; Geology; Physics","score_opus":0.02134096564242233,"score_gpt":0.29764648062230376,"score_spread":0.27630551497988143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2586967899","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":[0.14884962,0.00039823906,0.84540355,0.0003216392,0.00011814281,0.000059837723,0.0003405098,0.0020827588,0.0024257472],"genre_scores_gemma":[0.8470302,0.0001457589,0.14856672,0.00013296875,0.000058902027,0.00016940803,0.0005498177,0.00031000274,0.003036305],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953926,0.00024072964,0.000026144704,0.00008488084,0.000056056226,0.00005311221],"domain_scores_gemma":[0.9971625,0.002072764,0.00016720743,0.00010536282,0.0003635345,0.00012861706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015498254,0.00061041693,0.0010211505,0.000537636,0.00069150724,0.00063450093,0.0016701992,0.0011447137,0.0024182044],"category_scores_gemma":[0.0054402607,0.0006420858,0.0007455247,0.00074943254,0.0007006504,0.0008129474,0.0010509848,0.0016135235,0.0004570002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022707603,0.0000132919695,0.00028457266,0.0000067076576,0.000014308685,0.0000080371765,0.00000842599,0.9962071,0.00008097877,0.0004814398,0.00013156906,0.0027407832],"study_design_scores_gemma":[0.0000010921251,0.0000013983525,0.00001867239,3.7325816e-7,6.912426e-7,4.487341e-7,9.726502e-7,0.9998221,0.000018720086,0.00011959285,0.00001533265,6.927261e-7],"about_ca_topic_score_codex":0.0722665,"about_ca_topic_score_gemma":0.051382836,"teacher_disagreement_score":0.0722665,"about_ca_system_score_codex":0.0010841457,"about_ca_system_score_gemma":0.0014692324,"threshold_uncertainty_score":0.14369172},"labels":[],"label_agreement":null},{"id":"W2592147440","doi":"10.1007/s00382-017-3565-5","title":"Bayesian multiproxy temperature reconstruction with black spruce ring widths and stable isotopes from the northern Quebec taiga","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Rimouski; Geological Survey of Canada; Natural Resources Canada; Ouranos","funders":"Horizon 2020; Université du Québec à Rimouski","keywords":"Proxy (statistics); Volcano; Dendrochronology; Chronology; Climatology; δ18O; Taiga; Geology; Dendroclimatology; Forcing (mathematics); Bayesian probability; Ice core; δ13C; Physical geography; Environmental science; Atmospheric sciences; Stable isotope ratio; Geography; Paleontology; Statistics; Physics","score_opus":0.007547361656434282,"score_gpt":0.2034091370804361,"score_spread":0.19586177542400182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592147440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979786,0.0003601072,0.011672515,0.00020976661,0.000018553415,0.00002643481,0.006122631,0.0003630354,0.0014409117],"genre_scores_gemma":[0.98792833,0.00006369887,0.005538626,0.000042195235,0.000007102487,0.0000145538015,0.005726396,0.000079108446,0.00059998385],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963796,0.0000913127,0.000014943153,0.00013706576,0.000045433375,0.00007335397],"domain_scores_gemma":[0.9986218,0.00033355327,0.00017943246,0.00022000718,0.0005336219,0.000111498455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014256727,0.00059022894,0.00044571504,0.0011080434,0.00080213055,0.0009529382,0.0013090606,0.000680926,0.0020136118],"category_scores_gemma":[0.0032951087,0.00043148015,0.00066373433,0.0012500433,0.0004280032,0.00046452292,0.000508204,0.00066143984,0.00028662663],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046483445,0.0001463945,0.37006578,0.00012518739,0.0008830287,0.00031921687,0.0003378901,0.55799484,0.017492047,0.0012454704,0.0042660246,0.04665916],"study_design_scores_gemma":[0.000074899755,0.000021632646,0.32394752,0.00003746615,0.00012873052,0.000050977582,0.00014993937,0.6701204,0.001742371,0.00048823477,0.003144225,0.000093541166],"about_ca_topic_score_codex":0.88687855,"about_ca_topic_score_gemma":0.93446726,"teacher_disagreement_score":0.11312145,"about_ca_system_score_codex":0.0060698246,"about_ca_system_score_gemma":0.0042089075,"threshold_uncertainty_score":0.22757524},"labels":[],"label_agreement":null},{"id":"W2592456582","doi":"10.1007/s00382-017-3609-x","title":"Rain-on-snow events over North America based on two Canadian regional climate models","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":126,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada","keywords":"Snowmelt; Climatology; Environmental science; Climate change; Period (music); Surface runoff; Snow; Precipitation; Climate model; Flood myth; Current (fluid); Physical geography; Meteorology; Geography; Geology; Oceanography; Ecology","score_opus":0.029687421344385956,"score_gpt":0.2453316354381557,"score_spread":0.21564421409376974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2592456582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98776346,0.00028925133,0.0009538852,0.00030858727,0.000028038718,0.00004577241,0.0038363202,0.00019298545,0.0065817176],"genre_scores_gemma":[0.99322695,0.00027908912,0.00175221,0.000055405006,0.000008369596,0.000026397018,0.0033749023,0.000032413507,0.0012442011],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99974245,0.00003679509,0.000011193672,0.00006291768,0.00006570222,0.000081013655],"domain_scores_gemma":[0.99950135,0.00007318451,0.00003719479,0.000023408691,0.00027650327,0.00008830481],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045522847,0.0009066517,0.0004746377,0.00082829775,0.0012589385,0.0010448741,0.0014133784,0.0005271384,0.0013756565],"category_scores_gemma":[0.001105035,0.00040723293,0.001029906,0.0011818386,0.0003958315,0.00042644175,0.00041593603,0.00053424353,0.00012836608],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020237367,0.00009269115,0.061999943,0.00007288342,0.000272947,0.00014839009,0.00015546507,0.9254402,0.001239851,0.00084635516,0.0028867344,0.0066422694],"study_design_scores_gemma":[0.000164399,0.000054496944,0.06988452,0.000026802307,0.00021858775,0.000033235065,0.00027496123,0.9242482,0.00077999244,0.00024597347,0.00397047,0.000098371245],"about_ca_topic_score_codex":0.9848061,"about_ca_topic_score_gemma":0.98710734,"teacher_disagreement_score":0.016944855,"about_ca_system_score_codex":0.016944855,"about_ca_system_score_gemma":0.014801252,"threshold_uncertainty_score":0.12294412},"labels":[],"label_agreement":null},{"id":"W2597689547","doi":"10.1007/s00382-017-3580-6","title":"Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":668,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Univariate; Quantile; Multivariate statistics; Projection (relational algebra); Statistics; Climate model; Mathematics; Climate change; Algorithm; Geology","score_opus":0.04379571741281445,"score_gpt":0.27709542801049664,"score_spread":0.23329971059768218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2597689547","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.007264495,0.000044604923,0.990666,0.00006493086,0.00002208662,0.000021097803,0.00006611666,0.0013140088,0.0005365749],"genre_scores_gemma":[0.2340027,0.00012640118,0.7631948,0.00007371797,0.000030904033,0.00012330542,0.00027518065,0.0006467859,0.0015261688],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999688,0.00008505579,0.000012009515,0.00005392705,0.00013416166,0.000026747559],"domain_scores_gemma":[0.99919873,0.00037103865,0.00009149341,0.000117318305,0.00019532374,0.000026056456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001380711,0.000511956,0.00039809846,0.00052624854,0.00040956453,0.0005310724,0.0009301464,0.0005628604,0.0034741904],"category_scores_gemma":[0.004983589,0.00030843273,0.0007117568,0.00066037505,0.00034105417,0.0008591674,0.0009049118,0.001142418,0.0006846155],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013384825,0.000076339384,0.0039218576,0.000077835095,0.00007112424,0.00010242516,0.00008807802,0.7054412,0.0100081405,0.01507115,0.0045460993,0.26046196],"study_design_scores_gemma":[0.0000055900714,0.000007513975,0.0004319372,0.000002850879,0.000003092473,0.000019208313,0.0000045618567,0.99486744,0.0017175648,0.0018904334,0.001043231,0.0000066639873],"about_ca_topic_score_codex":0.009844821,"about_ca_topic_score_gemma":0.00713637,"teacher_disagreement_score":0.009844821,"about_ca_system_score_codex":0.0006295716,"about_ca_system_score_gemma":0.0012104044,"threshold_uncertainty_score":0.019575},"labels":[],"label_agreement":null},{"id":"W2599732029","doi":"10.1007/s00382-017-3634-9","title":"How does dynamical downscaling affect model biases and future projections of explosive extratropical cyclones along North America’s Atlantic coast?","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Marine Environmental Observation Prediction and Response Network","keywords":"Downscaling; Extratropical cyclone; Climatology; Environmental science; Forcing (mathematics); Climate model; Precipitation; Storm track; Atmospheric sciences; Baroclinity; Climate change; Storm; Meteorology; Geology; Oceanography; Geography","score_opus":0.02134523974357725,"score_gpt":0.2567531864877388,"score_spread":0.23540794674416157,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599732029","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936074,0.00014716413,0.0016147482,0.0018137735,0.00011240666,0.0000072860535,0.00046112295,0.000044349053,0.002191785],"genre_scores_gemma":[0.99905235,0.00010042256,0.00034010282,0.00011359937,0.000020265274,0.0000022808656,0.0001629149,0.000017541126,0.00019058691],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996518,0.00012678269,0.00002965291,0.00009615316,0.000032213757,0.00006338061],"domain_scores_gemma":[0.99776375,0.00095596304,0.00036229563,0.00023952549,0.0005013428,0.0001771158],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020821057,0.00044300157,0.0002841008,0.00033853715,0.0005537136,0.0018079283,0.00075419503,0.0015069937,0.0016829659],"category_scores_gemma":[0.01205663,0.00064752967,0.0006255416,0.0003466762,0.0006319113,0.0027125129,0.00062404276,0.0011280193,0.00024032577],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022388932,0.00014839787,0.44279948,0.000061611914,0.00039760963,0.00017542498,0.00026037183,0.5365152,0.003073745,0.004777718,0.001973358,0.009593222],"study_design_scores_gemma":[0.00008124668,0.0000489617,0.11556071,0.000046326262,0.00012743814,0.000053579588,0.00035546892,0.8760158,0.0019263956,0.0043660467,0.001361045,0.000056952016],"about_ca_topic_score_codex":0.055223744,"about_ca_topic_score_gemma":0.06161222,"teacher_disagreement_score":0.055223744,"about_ca_system_score_codex":0.001220182,"about_ca_system_score_gemma":0.0011078682,"threshold_uncertainty_score":0.10980457},"labels":[],"label_agreement":null},{"id":"W2600670830","doi":"10.1007/s00382-017-3630-0","title":"Moisture sources and pathways associated with the spatial variability of seasonal extreme precipitation over Canada","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Precipitation; Climatology; Westerlies; Environmental science; Moisture; North Atlantic oscillation; Arctic; Oceanography; Geography; Geology; Meteorology","score_opus":0.012662738755871032,"score_gpt":0.20222406946754704,"score_spread":0.189561330711676,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2600670830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973686,0.00010431319,0.00030050008,0.0002625063,0.000005091453,0.0000050368462,0.0010569323,0.000029543735,0.00086749234],"genre_scores_gemma":[0.99896944,0.00006537021,0.00011472194,0.000009680019,0.0000025330926,0.0000018979805,0.00041375947,0.0000071175937,0.00041546207],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998777,0.000012988415,0.000006817307,0.000030014782,0.000021614815,0.000050970655],"domain_scores_gemma":[0.99947363,0.00013077976,0.00007236264,0.000018522353,0.00020926687,0.00009550932],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026366382,0.00021153856,0.00016289242,0.0007060614,0.001007583,0.0013916588,0.00054447656,0.00034487047,0.001374235],"category_scores_gemma":[0.001293073,0.00033605582,0.00040041274,0.0013202564,0.00059162517,0.000410578,0.0005994204,0.00044394704,0.000084221654],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031420737,0.000080597325,0.90902805,0.000042271626,0.00021029332,0.00022393678,0.00086883066,0.066030875,0.0047525316,0.0038789422,0.0024983527,0.012071145],"study_design_scores_gemma":[0.000033722532,0.000008088145,0.9260879,0.000016504726,0.00005581102,0.00002946326,0.00048236406,0.07059536,0.00041052687,0.0008435869,0.0013997644,0.00003687814],"about_ca_topic_score_codex":0.9733117,"about_ca_topic_score_gemma":0.9711485,"teacher_disagreement_score":0.026688278,"about_ca_system_score_codex":0.0095891515,"about_ca_system_score_gemma":0.0074455147,"threshold_uncertainty_score":0.069574475},"labels":[],"label_agreement":null},{"id":"W2603842667","doi":"10.1007/s00382-017-3561-9","title":"How accurately do we know the temperature of the surface of the earth?","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Series (stratigraphy); Range (aeronautics); Term (time); Statistics; Scale (ratio); Mathematics; Scaling; Observational error; Time series; Mean squared error; Standard deviation; Climatology; Environmental science; Geology; Physics","score_opus":0.020640619580625692,"score_gpt":0.249769878773155,"score_spread":0.22912925919252933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2603842667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39558896,0.055231255,0.326035,0.14883883,0.0047808895,0.00005803528,0.0118806735,0.0010915556,0.05649482],"genre_scores_gemma":[0.9619883,0.01588851,0.0138296615,0.0034010531,0.0015405511,0.000035853438,0.0018600128,0.00020379276,0.0012523338],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99765164,0.0011030079,0.00013915723,0.00049439067,0.00043530265,0.00017654937],"domain_scores_gemma":[0.9813137,0.010798315,0.0025589084,0.0027020504,0.0020326746,0.0005944114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004652687,0.00069924555,0.001095067,0.0012815454,0.0004878306,0.004971995,0.0014274244,0.0030232193,0.001317577],"category_scores_gemma":[0.05793534,0.0005852741,0.000560226,0.001748032,0.0024459346,0.014768995,0.0013122283,0.0031384453,0.0012072088],"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":[0.0004529867,0.00026822812,0.24258985,0.0012828425,0.0019319976,0.00020342006,0.0016964797,0.26025265,0.003652283,0.13279499,0.045464758,0.30940944],"study_design_scores_gemma":[0.000059329606,0.0000854775,0.09653306,0.00053289713,0.0003264062,0.0003806057,0.0020677391,0.24590655,0.0049592974,0.5822715,0.06655568,0.00032155224],"about_ca_topic_score_codex":0.015016603,"about_ca_topic_score_gemma":0.0082859965,"teacher_disagreement_score":0.015016603,"about_ca_system_score_codex":0.0014396152,"about_ca_system_score_gemma":0.0015240787,"threshold_uncertainty_score":0.02985841},"labels":[],"label_agreement":null},{"id":"W2606315839","doi":"10.1007/s00382-017-3687-9","title":"Dynamically-downscaled temperature and precipitation changes over Saskatchewan using the PRECIS model","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University; University of Regina","funders":"","keywords":"Percentile; Precipitation; Environmental science; Climatology; Climate change; Climate model; Range (aeronautics); Mean radiant temperature; Meteorology; Atmospheric sciences; Statistics; Geology; Geography; Mathematics","score_opus":0.017665987858281457,"score_gpt":0.2667326299099212,"score_spread":0.24906664205163973,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606315839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818463,0.00007032574,0.0018349283,0.00038756864,0.00006892908,0.00004098525,0.009437965,0.00052758516,0.0057853865],"genre_scores_gemma":[0.9901866,0.000098758064,0.002355549,0.00009087284,0.000013298535,0.00004746881,0.005380404,0.00010818714,0.0017189261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986947,0.000021458563,0.000008875969,0.00004485338,0.000020141255,0.000035222678],"domain_scores_gemma":[0.99964964,0.000076846096,0.000027000948,0.000058866877,0.00012616305,0.000061401995],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029293183,0.0005956338,0.00059012655,0.00044062475,0.0007288488,0.0009724981,0.0014909649,0.00078442594,0.0034289227],"category_scores_gemma":[0.00075615174,0.00060209207,0.0008115747,0.0014398963,0.00043708956,0.00066227536,0.00048383523,0.00093690614,0.0004639841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025030345,0.00015201473,0.026468277,0.000042590735,0.00022344271,0.00014606767,0.00006591363,0.9586702,0.002462721,0.0010258339,0.0038942876,0.006598206],"study_design_scores_gemma":[0.00023779753,0.000026229807,0.033688698,0.000012954813,0.00008485962,0.000017309734,0.000112913265,0.96174246,0.0014277706,0.0006276559,0.0019541383,0.00006734083],"about_ca_topic_score_codex":0.785344,"about_ca_topic_score_gemma":0.7972044,"teacher_disagreement_score":0.214656,"about_ca_system_score_codex":0.0048505603,"about_ca_system_score_gemma":0.0061463295,"threshold_uncertainty_score":0.43184024},"labels":[],"label_agreement":null},{"id":"W2607366127","doi":"10.1007/s00382-017-3689-7","title":"Westerly wind bursts simulated in CAM4 and CCSM4","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Program on Global Change and Air-Sea Interaction; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Madden–Julian oscillation; Climatology; Environmental science; Predictability; El Niño Southern Oscillation; Sea surface temperature; Atmospheric sciences; Atmospheric model; Climate model; Meteorology; Climate change; Convection; Geology; Oceanography; Geography","score_opus":0.012662396404937748,"score_gpt":0.2562433130408972,"score_spread":0.24358091663595946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2607366127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9866131,0.0002221425,0.0017210626,0.0002794381,0.00013337878,0.000046437923,0.0060456423,0.00023577388,0.004703062],"genre_scores_gemma":[0.9920745,0.00010903455,0.0015830866,0.00003972373,0.000022243268,0.000044523913,0.0056175897,0.000034723143,0.0004746396],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982125,0.00004228122,0.000015367828,0.000037770926,0.00003867294,0.000044735494],"domain_scores_gemma":[0.9995565,0.00010612241,0.000061135455,0.000057698253,0.00014821663,0.00007034339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000541867,0.0009352499,0.00046593446,0.00062170887,0.00045912008,0.000685872,0.0010425434,0.0009221323,0.001410282],"category_scores_gemma":[0.0013618954,0.0002688781,0.00057689013,0.0012581378,0.00026339147,0.0008167143,0.00037859313,0.0008593214,0.00022665599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049556245,0.00023486283,0.054708853,0.00013619146,0.00021674704,0.0002682036,0.00010248037,0.9196942,0.003834128,0.002741161,0.0064987936,0.011068825],"study_design_scores_gemma":[0.0001751626,0.000058907935,0.026408691,0.0000115343555,0.000048528487,0.000024487166,0.00009167511,0.96877366,0.0013329252,0.00076540426,0.0022697535,0.000039269333],"about_ca_topic_score_codex":0.08190157,"about_ca_topic_score_gemma":0.052006163,"teacher_disagreement_score":0.08190157,"about_ca_system_score_codex":0.0008951814,"about_ca_system_score_gemma":0.0013723706,"threshold_uncertainty_score":0.16284972},"labels":[],"label_agreement":null},{"id":"W2615239620","doi":"10.1007/s00382-017-3702-1","title":"The very strong coastal El Niño in 1925 in the far-eastern Pacific","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":152,"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":"International Development Research Centre","keywords":"Intertropical Convergence Zone; Equator; Climatology; Downwelling; Teleconnection; Oceanography; Equatorial waves; Geology; Kelvin wave; Anticyclone; Hydrography; Upwelling; Sea surface temperature; Madden–Julian oscillation; Tropical wave; Environmental science; Precipitation; Convection; Geography; Tropical cyclone; El Niño Southern Oscillation; Latitude; Meteorology","score_opus":0.01850457114881707,"score_gpt":0.2626810804937547,"score_spread":0.24417650934493765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615239620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932325,0.0017055551,0.00023425065,0.00028830883,0.0000824996,0.000008513356,0.0005455744,0.0000068908025,0.00389595],"genre_scores_gemma":[0.99830747,0.000703281,0.00013577094,0.00008064694,0.000035277495,0.0000050791377,0.0004055856,0.0000023520515,0.0003244946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989176,0.000013430364,0.000011758517,0.00003683036,0.000020888707,0.000025350846],"domain_scores_gemma":[0.99986386,0.000017544196,0.000059858405,0.0000059897434,0.000028385717,0.000024419664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020703708,0.00015647364,0.0000943159,0.0004013473,0.00037078635,0.00065952976,0.00011889539,0.00016845281,0.00086606183],"category_scores_gemma":[0.00047132935,0.000074854004,0.00013761972,0.00078924675,0.00024676754,0.00040672818,0.00060144713,0.00021301284,0.00005493546],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010055959,0.000038966038,0.9388763,0.00036666685,0.00020562673,0.0014854192,0.0028749246,0.0011467966,0.005000007,0.0010923977,0.0020943156,0.04671802],"study_design_scores_gemma":[0.0000031727313,0.000014285171,0.9920218,0.000054708984,0.00004105583,0.000062889056,0.0016454533,0.00024672103,0.00024924727,0.00016643031,0.005487897,0.0000062265976],"about_ca_topic_score_codex":0.028755225,"about_ca_topic_score_gemma":0.058029495,"teacher_disagreement_score":0.028755225,"about_ca_system_score_codex":0.000498238,"about_ca_system_score_gemma":0.00037879622,"threshold_uncertainty_score":0.057175696},"labels":[],"label_agreement":null},{"id":"W2618647913","doi":"10.1007/s00382-017-3736-4","title":"Evaluation of CORDEX-Arctic daily precipitation and temperature-based climate indices over Canadian Arctic land areas","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ouranos; Environment and Climate Change Canada; Institut National de la Recherche Scientifique","funders":"National Oceanic and Atmospheric Administration; Rural Development Administration; ArcticNet; Natural Resources Canada; Canon Foundation for Scientific Research","keywords":"Climatology; Environmental science; Precipitation; Anomaly (physics); Arctic; Climate model; Climate extremes; Climate change; The arctic; Meteorology; Geography; Geology","score_opus":0.01893626535369315,"score_gpt":0.2723226516328959,"score_spread":0.25338638627920274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2618647913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99085474,0.00024126093,0.001807422,0.00008343744,0.000027794385,0.000045290104,0.003240784,0.00041126102,0.0032881356],"genre_scores_gemma":[0.98878014,0.00013840283,0.004579032,0.00003162664,0.000008849139,0.000030496049,0.005480627,0.00004560321,0.00090520206],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99944943,0.00013703898,0.000034141478,0.0001367219,0.00015864465,0.00008393786],"domain_scores_gemma":[0.9989741,0.00014158811,0.00008249386,0.00008476483,0.0006192424,0.00009774589],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021282446,0.00117001,0.00050801993,0.00063244364,0.0007477511,0.0010681689,0.00078134227,0.00033837793,0.00066305563],"category_scores_gemma":[0.0022562547,0.00024718925,0.00048742647,0.0009891471,0.00024747744,0.00061009236,0.0004946367,0.00032669108,0.00010710703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009321227,0.0002555126,0.20003779,0.00011803086,0.00042256262,0.00015593959,0.00017703633,0.75286466,0.004808773,0.00077569747,0.0029862837,0.036465537],"study_design_scores_gemma":[0.00013613235,0.00021280094,0.15464656,0.00002506044,0.00014769178,0.0000515568,0.00021806438,0.83332795,0.0069651217,0.00017091082,0.0040292605,0.000068950896],"about_ca_topic_score_codex":0.8252191,"about_ca_topic_score_gemma":0.8172531,"teacher_disagreement_score":0.1747809,"about_ca_system_score_codex":0.0060685705,"about_ca_system_score_gemma":0.004870266,"threshold_uncertainty_score":0.35162044},"labels":[],"label_agreement":null},{"id":"W2622082953","doi":"10.1007/s00382-017-3660-7","title":"Dynamically-downscaled projections of changes in temperature extremes over China","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; University of Regina","funders":"National Key Research and Development Program of China; Higher Education Discipline Innovation Project","keywords":"Downscaling; Climatology; Spatial ecology; Environmental science; Common spatial pattern; Climate change; Climate model; GCM transcription factors; Extreme value theory; Climate extremes; China; Precipitation; General Circulation Model; Meteorology; Geology; Geography; Statistics; Mathematics","score_opus":0.01121002504680977,"score_gpt":0.25753209447824593,"score_spread":0.24632206943143617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2622082953","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99517894,0.00007008691,0.0017846964,0.0002864815,0.000040545827,0.0000063491575,0.0012299715,0.000098476994,0.0013044844],"genre_scores_gemma":[0.99842834,0.00006113499,0.0005056377,0.0000136271065,0.000009265738,0.0000088125225,0.00069288525,0.000012400513,0.00026796595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989593,0.000022492366,0.000008177018,0.000030801704,0.000018186543,0.000024296283],"domain_scores_gemma":[0.9997228,0.000049916744,0.00003998404,0.000046277495,0.00008356038,0.000057394125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039138322,0.0005776437,0.00035448791,0.00045329612,0.0005182444,0.0006874042,0.00078463973,0.00070840016,0.0015577978],"category_scores_gemma":[0.0010930127,0.0005197236,0.0007146196,0.0009100872,0.00039623622,0.00079882314,0.00042347866,0.00062412996,0.00020893071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008065454,0.000038366645,0.012496083,0.000014708061,0.000060441856,0.000049358456,0.000031555297,0.98253006,0.0007200139,0.0008237668,0.00045660583,0.0026984012],"study_design_scores_gemma":[0.00003676451,0.000018757535,0.015745632,0.000003448583,0.000028861637,0.000008632108,0.000022154916,0.9827817,0.00029177257,0.0006254844,0.00041857015,0.000018188197],"about_ca_topic_score_codex":0.13194205,"about_ca_topic_score_gemma":0.11313843,"teacher_disagreement_score":0.13194205,"about_ca_system_score_codex":0.0021568215,"about_ca_system_score_gemma":0.0027244217,"threshold_uncertainty_score":0.26234812},"labels":[],"label_agreement":null},{"id":"W2625741963","doi":"10.1007/s00382-017-3745-3","title":"Simple physical-empirical model of the precipitation distribution based on a tropical sea surface temperature threshold and the effects of climate change","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Climatology; Intertropical Convergence Zone; Precipitation; Sea surface temperature; Environmental science; Troposphere; Climate model; Tropical Atlantic; Convection; Atmospheric sciences; General Circulation Model; Climate change; Geology; Physics; Meteorology","score_opus":0.017142531352320516,"score_gpt":0.2694052101312134,"score_spread":0.25226267877889286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625741963","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.59603363,0.001154828,0.3604838,0.003411187,0.00043978816,0.00014678546,0.004634412,0.0009475443,0.032748062],"genre_scores_gemma":[0.9864103,0.0003829903,0.005393776,0.00012086486,0.00009637529,0.000063262414,0.00055200775,0.00007065291,0.0069097113],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979764,0.00005182589,0.000015271815,0.00006148751,0.000030074609,0.00004373068],"domain_scores_gemma":[0.99942195,0.00020537137,0.000103417806,0.00006452567,0.0001246162,0.00008014772],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005335789,0.00043058724,0.00082073297,0.00072522205,0.00044296947,0.0013953275,0.00216532,0.0016831604,0.003835013],"category_scores_gemma":[0.0024028623,0.00040044633,0.00081958214,0.0013530286,0.0010449622,0.0019166971,0.0005761061,0.00085376174,0.00053298747],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048042144,0.000059963637,0.0034466302,0.000041996474,0.000039922114,0.00014155846,0.000057234945,0.95019925,0.0015411696,0.04108005,0.0010087737,0.0023353384],"study_design_scores_gemma":[0.00003024907,0.00001174168,0.002606534,0.0000051828088,0.000017896004,0.00006522076,0.000016927217,0.98331404,0.00012423994,0.013217947,0.000576523,0.000013456254],"about_ca_topic_score_codex":0.01748354,"about_ca_topic_score_gemma":0.009194354,"teacher_disagreement_score":0.01748354,"about_ca_system_score_codex":0.0011438591,"about_ca_system_score_gemma":0.0012322518,"threshold_uncertainty_score":0.034763515},"labels":[],"label_agreement":null},{"id":"W2654281950","doi":"10.1007/s00382-017-3755-1","title":"A new integrated and homogenized global monthly land surface air temperature dataset for the period since 1900","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":104,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"China Meteorological Administration; National Natural Science Foundation of China","keywords":"Surface air temperature; Climatology; Environmental science; Homogeneity (statistics); Air temperature; China; Climate change; Outlier; Meteorology; Geography; Precipitation; Statistics; Geology; Mathematics","score_opus":0.011622565402107125,"score_gpt":0.25640226578861713,"score_spread":0.24477970038651,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2654281950","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.118181065,0.00033245925,0.003351585,0.00023099383,0.00016937644,0.000043442087,0.87317675,0.00054941664,0.0039649005],"genre_scores_gemma":[0.088527195,0.0001758885,0.0039956006,0.00009751011,0.00008370155,0.000116570605,0.9054821,0.00014234868,0.0013790549],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997398,0.000020104391,0.000030713007,0.00011297063,0.00005154411,0.000044909364],"domain_scores_gemma":[0.99924195,0.000056030574,0.00020026322,0.00014663032,0.00026579847,0.00008938371],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035756786,0.00052116165,0.00040078544,0.0021114403,0.00026699158,0.00050844694,0.0005790107,0.0005426735,0.0040698787],"category_scores_gemma":[0.0010928186,0.0002721424,0.0006200738,0.0027511925,0.0001717136,0.00080221164,0.0007157858,0.0006151869,0.0025368698],"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":[0.0007778716,0.00045290834,0.40414545,0.00129855,0.00149298,0.00063237734,0.00077467016,0.05094633,0.016078692,0.00412544,0.4308812,0.088393554],"study_design_scores_gemma":[0.00013335452,0.00004919078,0.72701496,0.00010225172,0.00017209351,0.00023693524,0.0001527451,0.010529059,0.0021120093,0.00078678457,0.25864106,0.000069594156],"about_ca_topic_score_codex":0.042442292,"about_ca_topic_score_gemma":0.068863794,"teacher_disagreement_score":0.042442292,"about_ca_system_score_codex":0.0005941647,"about_ca_system_score_gemma":0.0011893627,"threshold_uncertainty_score":0.08439052},"labels":[],"label_agreement":null},{"id":"W2746930660","doi":"10.1007/s00382-017-3860-1","title":"High-resolution projections of mean and extreme precipitations over China through PRECIS under RCPs","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Precipitation; Climatology; Environmental science; Representative Concentration Pathways; Forcing (mathematics); GCM transcription factors; Coupled model intercomparison project; Climate model; Radiative forcing; General Circulation Model; Climate change; Meteorology; Geology; Geography","score_opus":0.03455420048087569,"score_gpt":0.2771914488274085,"score_spread":0.2426372483465328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2746930660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9651558,0.0003089794,0.0031002385,0.0008117281,0.000103624414,0.00004995371,0.024455143,0.0006718555,0.00534275],"genre_scores_gemma":[0.98329747,0.00023523108,0.0028453858,0.00004766247,0.00002993875,0.000056006236,0.012147608,0.00003806443,0.0013026535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982893,0.000026881144,0.000009143118,0.000036216472,0.00005315791,0.000045606208],"domain_scores_gemma":[0.9996424,0.000034327848,0.000047083053,0.00005669381,0.00014231172,0.00007719893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047729939,0.0006472601,0.00040575457,0.0005915533,0.00049866847,0.00058770453,0.000665715,0.00066279,0.0018202906],"category_scores_gemma":[0.0007274803,0.0004504085,0.000551345,0.001683962,0.0003506508,0.0005296642,0.0003613256,0.00051220955,0.00040607803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047245887,0.00015725539,0.061066106,0.00015712738,0.0003463595,0.0003599574,0.0002098942,0.89654946,0.0052057933,0.0033216076,0.012088109,0.02006598],"study_design_scores_gemma":[0.00031997933,0.00009526219,0.23350638,0.00003368022,0.00014744948,0.000085257896,0.00018768343,0.7456183,0.003459839,0.0021972978,0.014247128,0.00010182163],"about_ca_topic_score_codex":0.23794591,"about_ca_topic_score_gemma":0.20553225,"teacher_disagreement_score":0.23794591,"about_ca_system_score_codex":0.0021843058,"about_ca_system_score_gemma":0.003524105,"threshold_uncertainty_score":0.47312182},"labels":[],"label_agreement":null},{"id":"W2747934587","doi":"10.1007/s00382-017-3870-z","title":"Sensitivity of the weather research and forecasting model to parameterization schemes for regional climate of Nile River Basin","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Centrum fÖr Personcentrerad Vård; Natural Sciences and Engineering Research Council of Canada; University of Alberta; Western Canada Research Grid; University of East Anglia; Compute Canada; National Aeronautics and Space Administration","keywords":"Weather Research and Forecasting Model; Environmental science; Climatology; Climate model; Planetary boundary layer; Meteorology; Climate change; Geology; Geography","score_opus":0.12133984212358305,"score_gpt":0.332693509863509,"score_spread":0.21135366773992592,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2747934587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936727,0.00011255565,0.0035249437,0.00059971085,0.000039928636,0.00002508201,0.0004947099,0.00010279838,0.0014275163],"genre_scores_gemma":[0.9990382,0.000032119002,0.0004286117,0.000037347563,0.000004809396,0.000008332158,0.00025229147,0.000011121391,0.00018718962],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9991866,0.00040641747,0.00005261221,0.00016009218,0.000058156875,0.00013608452],"domain_scores_gemma":[0.9914473,0.0063164835,0.00054613594,0.0006025489,0.000798994,0.00028848834],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029215962,0.00046307256,0.00055631873,0.00037519832,0.0005728198,0.0012448605,0.00073981856,0.0014505252,0.0011345121],"category_scores_gemma":[0.013681677,0.00051679194,0.000711767,0.00046482566,0.00079719815,0.0015296232,0.0009270643,0.0013879046,0.0001411784],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011817769,0.000042695865,0.01076845,0.000015449958,0.00004042802,0.000036010963,0.000030203886,0.98565525,0.0011975617,0.00047067477,0.00027987215,0.001345217],"study_design_scores_gemma":[0.000022673876,0.000036544236,0.007849439,0.000004923165,0.000026349255,0.000011103891,0.000041489577,0.9901579,0.0012072504,0.00049578614,0.00012817881,0.000018272109],"about_ca_topic_score_codex":0.05533898,"about_ca_topic_score_gemma":0.01717667,"teacher_disagreement_score":0.05533898,"about_ca_system_score_codex":0.0020768088,"about_ca_system_score_gemma":0.0011825823,"threshold_uncertainty_score":0.11003375},"labels":[],"label_agreement":null},{"id":"W2760892366","doi":"10.1007/s00382-017-3955-8","title":"Influence of snowmelt on soil moisture and on near surface air temperature during winter–spring transition season","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; University of Victoria; University of Guelph","funders":"National Oceanic and Atmospheric Administration; Compute Canada","keywords":"Snowmelt; Climatology; Environmental science; Hindcast; Atmospheric sciences; Forcing (mathematics); Meteorology; Snow; Geography; Physics; Geology","score_opus":0.010274179803447397,"score_gpt":0.22295473356892986,"score_spread":0.21268055376548248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2760892366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99947685,0.000024967596,0.000021426235,0.000017131706,0.000005167467,9.737954e-7,0.00012517287,0.00000254991,0.00032581607],"genre_scores_gemma":[0.9995689,0.000012720869,0.000014489059,0.000008422177,0.0000048328857,0.0000012659674,0.0001771282,0.0000019822155,0.00021014083],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999262,0.000013990432,0.0000046887917,0.000019456867,0.0000069656626,0.000028725537],"domain_scores_gemma":[0.9996306,0.00011807991,0.000050745064,0.000016000966,0.00004605249,0.00013857782],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020227172,0.0001516923,0.00025212974,0.0002548414,0.00034891645,0.00047240235,0.00017753408,0.00028504088,0.002127366],"category_scores_gemma":[0.00045168612,0.00011380018,0.0003292274,0.00024728544,0.00023688514,0.00026881095,0.0002612583,0.00025113314,0.0002454907],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020401634,0.00019730645,0.9751371,0.000025755524,0.00014930092,0.00032568513,0.0003596874,0.0008078724,0.01662613,0.00011584853,0.00040108236,0.003814109],"study_design_scores_gemma":[0.000003069754,0.000028413187,0.9991825,0.0000013248026,0.000009882919,0.000018112836,0.000099999736,0.0003653688,0.00017845353,0.000013161219,0.000098232274,0.0000013994346],"about_ca_topic_score_codex":0.01162737,"about_ca_topic_score_gemma":0.027309697,"teacher_disagreement_score":0.01162737,"about_ca_system_score_codex":0.00033048683,"about_ca_system_score_gemma":0.00033358234,"threshold_uncertainty_score":0.02311939},"labels":[],"label_agreement":null},{"id":"W2762404105","doi":"10.1007/s00382-017-3918-0","title":"Energetics of transient-eddy and inter-member variabilities in global and regional climate model simulations","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Compute Canada; Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"GCM transcription factors; Climatology; Energetics; Climate model; Environmental science; Meteorology; Atmospheric sciences; General Circulation Model; Physics; Climate change; Geology","score_opus":0.02434202771800753,"score_gpt":0.27660658531019683,"score_spread":0.2522645575921893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2762404105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99467367,0.00008952586,0.0029129656,0.00010095157,0.000007239561,0.000008887649,0.00048972806,0.000044706296,0.0016723631],"genre_scores_gemma":[0.99874425,0.000039062026,0.0007679668,0.000011709838,0.0000032096002,0.000012722065,0.00027308348,0.000019266106,0.00012870268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982315,0.000070002476,0.000014661343,0.00003928566,0.000022808834,0.00003010482],"domain_scores_gemma":[0.9993697,0.00037728492,0.00007947769,0.00006395171,0.000057050413,0.00005262883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007691881,0.0004441843,0.00045755444,0.00051157817,0.00038351788,0.00087302533,0.00061332044,0.0007988152,0.0006155939],"category_scores_gemma":[0.0027369277,0.00032672533,0.0007091691,0.0006420558,0.00050269766,0.0007120445,0.0004530842,0.00041824888,0.000063161526],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000070785405,0.000033642486,0.020130556,0.00001667991,0.000073849646,0.00006524565,0.000047189773,0.97537076,0.0012008011,0.0014459632,0.00019558199,0.0013489542],"study_design_scores_gemma":[0.000016079917,0.000027699372,0.01233386,0.0000058460023,0.000028904105,0.000020381778,0.000038815982,0.98633444,0.0004333704,0.00060948357,0.00013769048,0.000013427129],"about_ca_topic_score_codex":0.014343716,"about_ca_topic_score_gemma":0.012138927,"teacher_disagreement_score":0.014343716,"about_ca_system_score_codex":0.0008763954,"about_ca_system_score_gemma":0.00049772963,"threshold_uncertainty_score":0.028520465},"labels":[],"label_agreement":null},{"id":"W2764227240","doi":"10.1007/s00382-017-3931-3","title":"Downscaling RCP8.5 daily temperatures and precipitation in Ontario using localized ensemble optimal interpolation (EnOI) and bias correction","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"Ministry of Environment; Canon Foundation for Scientific Research","keywords":"Downscaling; Coupled model intercomparison project; Climatology; Precipitation; Environmental science; Interpolation (computer graphics); Anomaly (physics); Climate Forecast System; Scale (ratio); Grid; Climate model; Consistency (knowledge bases); Multivariate interpolation; Meteorology; Climate change; Mathematics; Computer science; Statistics; Geology; Geography","score_opus":0.030247001636222872,"score_gpt":0.267065906286303,"score_spread":0.23681890465008013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2764227240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9768474,0.00023985346,0.004817659,0.00053601264,0.00010848481,0.00004604058,0.008083737,0.00052211154,0.008798608],"genre_scores_gemma":[0.98859626,0.00010521402,0.0045044203,0.00003786704,0.000015273954,0.000022669741,0.0037379172,0.000095851465,0.0028845326],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978536,0.000014483907,0.000014341373,0.000047857262,0.00008251969,0.000055553315],"domain_scores_gemma":[0.9993895,0.00004039369,0.00005355277,0.00007030275,0.00039399296,0.000052139338],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032763553,0.00022910202,0.0002325398,0.00043879807,0.00093979615,0.00051215023,0.00058943935,0.0003336326,0.0018247545],"category_scores_gemma":[0.0014555355,0.00022313707,0.0003685552,0.0011460655,0.0003594002,0.00037820588,0.00044362573,0.0003633825,0.0003761268],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011157974,0.0002247335,0.44162017,0.00032830736,0.00034803821,0.0006478497,0.002313137,0.3193724,0.028349273,0.0033686436,0.03371103,0.1686006],"study_design_scores_gemma":[0.00015872896,0.000035508634,0.731861,0.000049975395,0.00012534003,0.000059929425,0.0006621157,0.23116459,0.0062991213,0.00073321117,0.028761137,0.000089329245],"about_ca_topic_score_codex":0.96613485,"about_ca_topic_score_gemma":0.97947854,"teacher_disagreement_score":0.033865154,"about_ca_system_score_codex":0.0062303375,"about_ca_system_score_gemma":0.0094963005,"threshold_uncertainty_score":0.06812912},"labels":[],"label_agreement":null},{"id":"W2766658279","doi":"10.1007/s00382-017-3927-z","title":"Observed changes in temperature extremes over Asia and their attribution","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"China Meteorological Administration; National Science Foundation","keywords":"Climatology; Environmental science; Forcing (mathematics); Global warming; Percentile; Climate change; Latitude; Maximum temperature; Atmospheric sciences; Geography; Mathematics; Statistics; Geology","score_opus":0.033319820830321124,"score_gpt":0.24939312619857706,"score_spread":0.21607330536825595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766658279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99384767,0.00013855248,0.0010723118,0.000065762775,0.000017703016,0.0000049621854,0.0028041701,0.00005778972,0.0019911234],"genre_scores_gemma":[0.99707913,0.00009466885,0.0004395041,0.000010453219,0.000011324041,0.000005898464,0.0022326706,0.000011904616,0.000114528666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997913,0.00003529871,0.000027758007,0.000084077394,0.000028556884,0.000032968546],"domain_scores_gemma":[0.99926525,0.0001230663,0.00026159745,0.00014267978,0.00015016661,0.000057192457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065375917,0.0002551375,0.00022982928,0.00075016957,0.0001828702,0.00063942355,0.00023786377,0.00017989863,0.0006382524],"category_scores_gemma":[0.0015342947,0.00021078215,0.00036734293,0.0011723159,0.00022951984,0.00053978077,0.0005678491,0.00036328225,0.0001508485],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009687112,0.000017102991,0.97585016,0.0000453305,0.00013055801,0.00007880637,0.0002927359,0.010671873,0.0025606153,0.0004752107,0.0005994015,0.009181318],"study_design_scores_gemma":[0.000005244197,0.000018275652,0.9857702,0.000015894857,0.000033276927,0.00005598117,0.0001550674,0.010742436,0.0010057803,0.00029527856,0.0018893259,0.000013010446],"about_ca_topic_score_codex":0.006116937,"about_ca_topic_score_gemma":0.006306829,"teacher_disagreement_score":0.006116937,"about_ca_system_score_codex":0.00046430508,"about_ca_system_score_gemma":0.00024772203,"threshold_uncertainty_score":0.012162626},"labels":[],"label_agreement":null},{"id":"W2767346658","doi":"10.1007/s00382-017-3961-x","title":"Impacts of the IOD-associated temperature and salinity anomalies on the intermittent equatorial undercurrent anomalies","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"State Key Laboratory of Satellite Ocean Environment Dynamics; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Salinity; Climatology; Geology; Temperature salinity diagrams; Sea surface temperature; Momentum (technical analysis); Pressure gradient; Ocean general circulation model; Indian Ocean Dipole; Oceanography; General Circulation Model; Climate change","score_opus":0.013850972118281584,"score_gpt":0.22390692069503246,"score_spread":0.21005594857675086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767346658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972916,0.00008484753,0.0010036669,0.00013594824,0.00003728248,0.000014479367,0.00029632807,0.00007840135,0.0010574264],"genre_scores_gemma":[0.9992685,0.00004242579,0.00035879796,0.000022845452,0.0000050894705,0.000004521362,0.00020428002,0.000010222918,0.00008326894],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997415,0.00007036916,0.00002279712,0.00005736106,0.00003258991,0.000075485084],"domain_scores_gemma":[0.99930644,0.00023155153,0.00012754789,0.00007626997,0.00009930654,0.00015878284],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056724186,0.00068659923,0.00047001278,0.0004854644,0.00048183382,0.0010794768,0.0006114218,0.00090410945,0.0011156247],"category_scores_gemma":[0.0024641014,0.00031045594,0.0010580473,0.00037243756,0.0007024632,0.00083898497,0.0007983194,0.0008328105,0.00008725611],"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":[0.0003065114,0.00021825476,0.19737186,0.00008665577,0.00026188075,0.0007230083,0.00014048259,0.7845545,0.009605225,0.0015986587,0.0008176667,0.0043153083],"study_design_scores_gemma":[0.00011833185,0.00015719194,0.07711355,0.000025403702,0.000110761524,0.00009597941,0.00026414826,0.9180984,0.0026008787,0.0005436254,0.00082939584,0.000042335407],"about_ca_topic_score_codex":0.038355984,"about_ca_topic_score_gemma":0.020113418,"teacher_disagreement_score":0.038355984,"about_ca_system_score_codex":0.00085005973,"about_ca_system_score_gemma":0.0011636689,"threshold_uncertainty_score":0.076265454},"labels":[],"label_agreement":null},{"id":"W2767494438","doi":"10.1007/s00382-017-3983-4","title":"Seasonal and latitudinal variations of surface fluxes at two Arctic terrestrial sites","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Office of Polar Programs; Climate Program Office; Directorate for Geosciences; CRDF Global; National Oceanic and Atmospheric Administration; Russian Foundation for Basic Research; National Science Foundation","keywords":"Climatology; Environmental science; Latitude; Cloud cover; Arctic; Atmospheric sciences; Snow; Shortwave radiation; Albedo (alchemy); Permafrost; Geology; Oceanography; Geography; Meteorology; Radiation","score_opus":0.042442522667127405,"score_gpt":0.2784161099355866,"score_spread":0.23597358726845918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767494438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99905115,0.000027756616,0.000051864048,0.000013108947,0.0000033372976,0.000001074233,0.00046240783,0.0000044204803,0.00038497362],"genre_scores_gemma":[0.99795544,0.00005133419,0.00019623665,0.000006962622,0.0000061597707,0.000004743742,0.001296274,0.000004253942,0.0004784713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988854,0.000023083652,0.00000697178,0.000025851528,0.000017218614,0.000038379363],"domain_scores_gemma":[0.9996518,0.00008551313,0.00005880909,0.00001990039,0.00011697369,0.00006703898],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037435535,0.0002412643,0.00022913501,0.0008389518,0.0007319726,0.0006372523,0.00016232139,0.00035729393,0.00068210077],"category_scores_gemma":[0.0003931779,0.00016667979,0.00023051638,0.00066813314,0.00024025659,0.00023983225,0.00034317942,0.00016752473,0.00014682472],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006124509,0.00009204517,0.979418,0.00003020733,0.00013139873,0.00017994503,0.0012337831,0.0025489554,0.010031223,0.00022431072,0.00043842,0.0050593186],"study_design_scores_gemma":[0.0000050712997,0.000014033068,0.9978054,0.0000028492702,0.000018265011,0.000030030113,0.00030858684,0.0009344398,0.00038103224,0.000020186968,0.00047576483,0.0000043102073],"about_ca_topic_score_codex":0.07922606,"about_ca_topic_score_gemma":0.19230877,"teacher_disagreement_score":0.07922606,"about_ca_system_score_codex":0.0005172123,"about_ca_system_score_gemma":0.0003935769,"threshold_uncertainty_score":0.15752983},"labels":[],"label_agreement":null},{"id":"W2768091302","doi":"10.1007/s00382-017-3987-0","title":"Comparison of various drought indices to monitor drought status in Pakistan","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":214,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Pakistan Science Foundation","keywords":"Anomaly (physics); Precipitation; Index (typography); Evapotranspiration; Environmental science; Climatology; Decile; Geography; Statistics; Meteorology; Mathematics; Geology","score_opus":0.012695873045521526,"score_gpt":0.33180807483441593,"score_spread":0.31911220178889443,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768091302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99855024,0.000044728844,0.0003329919,0.000018054207,0.0000034486904,0.0000076198985,0.00038899045,0.0000069974417,0.0006469456],"genre_scores_gemma":[0.9994295,0.00003458055,0.00024736137,0.000003957583,0.0000019814609,0.0000040970535,0.00020666496,7.465012e-7,0.00007097444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99980956,0.000043739463,0.000026299485,0.00003475202,0.000038834703,0.000046748886],"domain_scores_gemma":[0.99942493,0.00014691055,0.000116236195,0.00001767845,0.00021632439,0.00007781353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007114602,0.00015990536,0.00018339857,0.00095501554,0.00032959168,0.0005208304,0.00018206013,0.00019510723,0.00031667022],"category_scores_gemma":[0.0007851555,0.00010974034,0.00013867223,0.0011099386,0.00017586962,0.00038882284,0.00019710814,0.00020372511,0.00007002158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00033298973,0.000103592385,0.9734484,0.00004297257,0.00009232221,0.00018213449,0.00048876676,0.004183831,0.0031804421,0.0002251795,0.00044899547,0.017270448],"study_design_scores_gemma":[0.000018303786,0.00016498173,0.9898948,0.000008130402,0.00005319089,0.00008664352,0.0009750362,0.0067027737,0.001406612,0.0000747139,0.0006024416,0.0000123350555],"about_ca_topic_score_codex":0.032469578,"about_ca_topic_score_gemma":0.040568355,"teacher_disagreement_score":0.032469578,"about_ca_system_score_codex":0.00062797905,"about_ca_system_score_gemma":0.0004652592,"threshold_uncertainty_score":0.06456113},"labels":[],"label_agreement":null},{"id":"W2768712191","doi":"10.1007/s00382-017-4020-3","title":"A coupled dynamical-copula downscaling approach for temperature projections over the Canadian Prairies","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Copula (linguistics); Climatology; Environmental science; Climate change; Climate model; General Circulation Model; Computer science; Meteorology; Econometrics; Geography; Geology; Mathematics","score_opus":0.019999845550987865,"score_gpt":0.26852568489241985,"score_spread":0.248525839341432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2768712191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8180331,0.00056113943,0.16658084,0.0012207465,0.00013264948,0.00013137341,0.0030384497,0.00069812866,0.00960355],"genre_scores_gemma":[0.97051954,0.00014716279,0.026968027,0.000061017327,0.000024211207,0.000032659973,0.00076940266,0.00007050578,0.0014075126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998585,0.00003065552,0.000007688419,0.00004232992,0.00002819708,0.000032545577],"domain_scores_gemma":[0.9997191,0.00005957384,0.000025562687,0.000019572024,0.00014424179,0.000032031345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049803883,0.0004483472,0.00044996117,0.00041870028,0.0010436419,0.0008552615,0.001337701,0.0006155672,0.0015637588],"category_scores_gemma":[0.001739621,0.00057702075,0.00054007384,0.0007328322,0.0003278386,0.0005365936,0.00039675366,0.0006780273,0.00013228242],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018485094,0.00001416269,0.0019940792,0.000010290025,0.000039939037,0.000023125262,0.000023351799,0.989646,0.00040439743,0.0010192057,0.00046026273,0.006346733],"study_design_scores_gemma":[0.0000073393057,0.000002672334,0.0013873226,0.0000018109649,0.000009406194,0.0000022280751,0.000009089787,0.9979036,0.00006209551,0.0003652113,0.00024238498,0.0000068547192],"about_ca_topic_score_codex":0.86751986,"about_ca_topic_score_gemma":0.84854436,"teacher_disagreement_score":0.13248014,"about_ca_system_score_codex":0.0032683022,"about_ca_system_score_gemma":0.0071156486,"threshold_uncertainty_score":0.26652068},"labels":[],"label_agreement":null},{"id":"W2773814311","doi":"10.1007/s00382-017-4024-z","title":"Mechanisms of interannual- to decadal-scale winter Labrador Sea ice variability","year":2017,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sea ice; Geology; Climatology; Oceanography; Antarctic sea ice; North Atlantic oscillation; Arctic ice pack; Drift ice; Forcing (mathematics); Sea ice concentration; Cryosphere; Atlantic multidecadal oscillation; Submarine pipeline; Sea ice thickness","score_opus":0.008013628537470298,"score_gpt":0.23376713566214982,"score_spread":0.22575350712467954,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773814311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99049777,0.0017053526,0.002205614,0.0004354214,0.000037932467,0.000018134582,0.00062441995,0.00021124166,0.0042640683],"genre_scores_gemma":[0.99899215,0.00020578387,0.000170086,0.00003612496,0.000014805449,0.000008677898,0.00015720306,0.000014151352,0.00040107622],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999869,0.000018784505,0.000011428136,0.000052242714,0.0000120245595,0.000036509573],"domain_scores_gemma":[0.9996902,0.00006726531,0.000110829424,0.000042744163,0.000045073655,0.00004400828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051898544,0.00028492295,0.00035917773,0.0010729285,0.0004326414,0.0018624556,0.0005509833,0.00053242943,0.0015540805],"category_scores_gemma":[0.00078372733,0.00031224437,0.0005124208,0.00058282696,0.0005430968,0.0008100202,0.0007783874,0.00025940742,0.000280366],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064533256,0.00019477516,0.84679586,0.00018254436,0.0007594465,0.00042603505,0.000820568,0.025976965,0.06636062,0.011654651,0.0023338553,0.043849315],"study_design_scores_gemma":[0.00002655091,0.000057813824,0.9718203,0.000020562318,0.00007575706,0.000104126724,0.00046063826,0.019940887,0.0016195806,0.0039003815,0.0019351592,0.000038242717],"about_ca_topic_score_codex":0.0077230535,"about_ca_topic_score_gemma":0.006036869,"teacher_disagreement_score":0.0077230535,"about_ca_system_score_codex":0.0008509022,"about_ca_system_score_gemma":0.00038043904,"threshold_uncertainty_score":0.015356243},"labels":[],"label_agreement":null},{"id":"W2787560222","doi":"10.1007/s00382-018-4092-8","title":"Regional climate change impact on extreme precipitation and temperature of the Nile river basin","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Centrum fÖr Personcentrerad Vård; Natural Sciences and Engineering Research Council of Canada; Western Canada Research Grid; National Center for Atmospheric Research; University of East Anglia; Compute Canada; University of Alberta","keywords":"Precipitation; Climate change; Environmental science; Climatology; Drainage basin; Climate model; Weather Research and Forecasting Model; Downscaling; Cru; Geology; Geography; Meteorology","score_opus":0.02889741909273446,"score_gpt":0.25804171247205987,"score_spread":0.2291442933793254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787560222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99668854,0.00013556292,0.00035631223,0.00037528487,0.000018873414,0.0000027446397,0.00045295653,0.000030579235,0.0019391528],"genre_scores_gemma":[0.999464,0.00006899067,0.000054062428,0.000012632038,0.0000052140363,0.0000022373104,0.00015794528,0.000005738438,0.00022923358],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997938,0.00009106854,0.000011763131,0.00003623624,0.000021049813,0.00004596378],"domain_scores_gemma":[0.9996308,0.00014038288,0.000056307355,0.00004082275,0.00006721874,0.00006437306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006271776,0.00020810442,0.0002668295,0.00033491434,0.00031668105,0.0008591011,0.0004123006,0.00048281823,0.0017779507],"category_scores_gemma":[0.0015857228,0.00021379172,0.00055224594,0.0005439389,0.00045337775,0.00068004476,0.00077798846,0.000460927,0.00018319044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053018716,0.00022720902,0.36020756,0.00011257031,0.0005757921,0.0005567221,0.0005714426,0.61097753,0.0048665004,0.0049987845,0.0028280572,0.013547572],"study_design_scores_gemma":[0.00011077019,0.0001114358,0.5121926,0.000030581436,0.00020300133,0.00012949854,0.0009054463,0.47704175,0.0014734934,0.0037305108,0.0039986507,0.00007217549],"about_ca_topic_score_codex":0.041871917,"about_ca_topic_score_gemma":0.03182273,"teacher_disagreement_score":0.041871917,"about_ca_system_score_codex":0.0010980833,"about_ca_system_score_gemma":0.000751092,"threshold_uncertainty_score":0.083256364},"labels":[],"label_agreement":null},{"id":"W2788290875","doi":"10.1007/s00382-018-4079-5","title":"Linear and nonlinear regression prediction of surface wind components","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ocean Networks Canada Society; University of Victoria","funders":"","keywords":"Predictability; Nonlinear system; Kurtosis; Regression; Linear regression; Regression analysis; Support vector machine; Statistics; Mathematics; Econometrics; Computer science; Machine learning; Physics","score_opus":0.020280345133820488,"score_gpt":0.2519883923636838,"score_spread":0.23170804722986332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788290875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.78657997,0.00070403906,0.20335323,0.00054528017,0.0002077687,0.000029559596,0.0013043146,0.00095226365,0.0063236062],"genre_scores_gemma":[0.97721136,0.00018427835,0.014471012,0.00002360302,0.000042447853,0.000017903718,0.00094404526,0.00010467041,0.0070007145],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984336,0.000055004984,0.000007388256,0.000051965206,0.000023558983,0.000018700339],"domain_scores_gemma":[0.99910706,0.00059332803,0.000057399273,0.00006100677,0.00015432423,0.000026796695],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006603512,0.00048201278,0.00028877766,0.00021858694,0.00018103915,0.00046819416,0.00035876108,0.00039530452,0.0021780883],"category_scores_gemma":[0.0034101964,0.00022052602,0.00038644855,0.00035121635,0.00016225113,0.0006724134,0.00030081964,0.00074312126,0.0007726836],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018293457,0.000071802904,0.0066149333,0.00004250378,0.000045659122,0.000024770632,0.00002054259,0.94931114,0.0030682734,0.000777128,0.0009730061,0.0388674],"study_design_scores_gemma":[0.000003239493,0.0000068988875,0.0016082517,9.572673e-7,0.0000041022245,0.0000015454955,0.0000026131488,0.9976521,0.000484716,0.00016108496,0.00007171037,0.0000028554255],"about_ca_topic_score_codex":0.023881659,"about_ca_topic_score_gemma":0.022909472,"teacher_disagreement_score":0.023881659,"about_ca_system_score_codex":0.00032427043,"about_ca_system_score_gemma":0.0005418709,"threshold_uncertainty_score":0.04748535},"labels":[],"label_agreement":null},{"id":"W2788556783","doi":"10.1007/s00382-018-4128-0","title":"Assessment of climate change in Algeria from 1951 to 2098 using the Köppen–Geiger climate classification scheme","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":110,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"Commonwealth Scientific and Industrial Research Organisation; University of Delaware","keywords":"Climate change; Climatology; Temperate climate; Climate model; Environmental science; Population; Climate zones; Lapse rate; Physical geography; Geography; Geology; Demography; Ecology; Oceanography","score_opus":0.05388246302616339,"score_gpt":0.33506117429016097,"score_spread":0.28117871126399757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788556783","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9801276,0.0003644231,0.0031338902,0.00017606559,0.000032445445,0.0000450707,0.01096954,0.00009894278,0.005052091],"genre_scores_gemma":[0.99088144,0.00018833448,0.002747756,0.000012653908,0.00001185506,0.00002928017,0.005470953,0.000010438852,0.00064727856],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997315,0.000061191546,0.000034451146,0.000051168616,0.000055258864,0.00006639689],"domain_scores_gemma":[0.9995098,0.000050755873,0.00015122298,0.000058694237,0.0001881699,0.000041441457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007649372,0.00047227985,0.00028755286,0.0023560266,0.00036415586,0.00062520127,0.0003137555,0.00028685245,0.0008963951],"category_scores_gemma":[0.0010725243,0.0001119152,0.0005822961,0.0019601814,0.00025221967,0.0005176843,0.000597318,0.0002381363,0.00024540012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066682167,0.000086358945,0.61212224,0.00022728373,0.0009231906,0.00040968115,0.0003783468,0.2710192,0.003088682,0.0075049424,0.007523869,0.096049376],"study_design_scores_gemma":[0.000029069452,0.00006229781,0.86638176,0.00006131028,0.00012480844,0.00010318466,0.00036780487,0.12272736,0.0012604246,0.0012462119,0.0075875144,0.00004825461],"about_ca_topic_score_codex":0.113227576,"about_ca_topic_score_gemma":0.07441254,"teacher_disagreement_score":0.113227576,"about_ca_system_score_codex":0.0017297643,"about_ca_system_score_gemma":0.001086869,"threshold_uncertainty_score":0.22513705},"labels":[],"label_agreement":null},{"id":"W2792586624","doi":"10.1007/s00382-018-4142-2","title":"Impact of dynamic vegetation phenology on the simulated pan-Arctic land surface state","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Environment and Climate Change Canada; McGill University; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Permafrost; Environmental science; Vegetation (pathology); Climatology; Albedo (alchemy); Arctic; Phenology; Climate change; Climate model; Global warming; Atmospheric sciences; Physical geography; Geology; Ecology; Geography; Oceanography","score_opus":0.02285322498571646,"score_gpt":0.2780139506332184,"score_spread":0.2551607256475019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792586624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958792,0.00011148785,0.0010625019,0.00023901722,0.00006909873,0.0000071708614,0.0010823316,0.000092997674,0.0014562538],"genre_scores_gemma":[0.99878794,0.000044231252,0.00029393093,0.000034985464,0.000007634487,0.0000073275487,0.0005372603,0.000018720226,0.0002679801],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99978405,0.00006380153,0.000011795189,0.000058874008,0.00002136719,0.00006019181],"domain_scores_gemma":[0.99932194,0.00036582266,0.000045720313,0.00004940245,0.00011405431,0.000103154816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007466481,0.0005994079,0.0004435877,0.00028095063,0.0007194531,0.0010906361,0.00059644534,0.001430989,0.0019354038],"category_scores_gemma":[0.0023274038,0.00042737878,0.00080250023,0.00043336354,0.00062128506,0.00068313733,0.00047299123,0.0007058622,0.00023451452],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003734937,0.00009118452,0.03704415,0.000034847606,0.00012427625,0.000096594,0.00004507577,0.9564682,0.002591087,0.00049277337,0.00054321927,0.002095047],"study_design_scores_gemma":[0.00013693284,0.00012548047,0.03542447,0.0000121295,0.00007537813,0.000045930006,0.000087557564,0.96158975,0.0014088318,0.00025394114,0.0008058062,0.000033702247],"about_ca_topic_score_codex":0.08932341,"about_ca_topic_score_gemma":0.04933033,"teacher_disagreement_score":0.08932341,"about_ca_system_score_codex":0.0012345521,"about_ca_system_score_gemma":0.0013734036,"threshold_uncertainty_score":0.17760694},"labels":[],"label_agreement":null},{"id":"W2793356036","doi":"10.1007/s00382-018-4157-8","title":"Response of a comprehensive climate model to a broad range of external forcings: relevance for deep ocean ventilation and the development of late Cenozoic ice ages","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":149,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; McGill University","funders":"University of Toronto; Canada Foundation for Innovation; Ministerio de Economía y Competitividad; Compute Canada","keywords":"Geology; North Atlantic Deep Water; Antarctic Bottom Water; Ice sheet; Antarctic ice sheet; Climatology; Oceanography; Ice-sheet model; Cryosphere; Sea ice; Thermohaline circulation; Antarctic sea ice","score_opus":0.023210666720906218,"score_gpt":0.2782508730005736,"score_spread":0.2550402062796674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793356036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99253345,0.00012362505,0.0021352908,0.00029862492,0.000029352745,0.00002537733,0.0007730667,0.00013135394,0.00394987],"genre_scores_gemma":[0.9974189,0.00009909147,0.0010123855,0.000084780215,0.0000123176105,0.000038170896,0.00060441345,0.000030651674,0.0006992851],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982506,0.00006348761,0.000009802214,0.000039236387,0.000017287593,0.00004520182],"domain_scores_gemma":[0.9994641,0.00024751245,0.00006400632,0.00004099668,0.00007289466,0.00011051531],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006217732,0.000805756,0.0011138088,0.0004825256,0.00061408844,0.0012746626,0.0010157973,0.0018048245,0.0022202283],"category_scores_gemma":[0.0019349894,0.0005424773,0.0011935584,0.0006307735,0.00082692987,0.00086048694,0.0008887266,0.00088361185,0.00016380359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006363006,0.000036966125,0.0030621788,0.0000098537175,0.000044934106,0.00003160668,0.000012021211,0.99553216,0.00044629563,0.00028860295,0.00009921521,0.00037250738],"study_design_scores_gemma":[0.00006325324,0.000058040612,0.0024213463,0.000004020883,0.00003403001,0.0000063158564,0.000028886676,0.9968534,0.00015078901,0.00026253943,0.00010597764,0.0000114511195],"about_ca_topic_score_codex":0.05240151,"about_ca_topic_score_gemma":0.022917554,"teacher_disagreement_score":0.05240151,"about_ca_system_score_codex":0.001275966,"about_ca_system_score_gemma":0.0014437168,"threshold_uncertainty_score":0.10419303},"labels":[],"label_agreement":null},{"id":"W2793361457","doi":"10.1007/s00382-018-4145-z","title":"Human influence on Canadian temperatures","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria; Environment and Climate Change Canada","funders":"U.S. Department of Energy","keywords":"Forcing (mathematics); Climatology; Environmental science; Global warming; Climate change; Climate model; Atmospheric sciences; Mean radiant temperature; Pacific decadal oscillation; El Niño Southern Oscillation; Oceanography; Geology","score_opus":0.009123201154173045,"score_gpt":0.24508808900242296,"score_spread":0.23596488784824993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793361457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7364909,0.006328919,0.0012994071,0.011046857,0.00026189547,0.000078026016,0.023763698,0.00022115394,0.22050917],"genre_scores_gemma":[0.98502696,0.002662252,0.0004988834,0.00041228556,0.00002606698,0.000013754397,0.0018088187,0.00003823257,0.009512649],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931765,0.00006740434,0.00001679748,0.000084384184,0.00024481493,0.00026899125],"domain_scores_gemma":[0.99819344,0.00014226098,0.00012381306,0.00005379772,0.0012158628,0.00027091504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052755605,0.0002772046,0.00026362584,0.00085099984,0.0039568637,0.0017356697,0.000619626,0.00027289696,0.008091358],"category_scores_gemma":[0.0025624987,0.0001756166,0.00065401464,0.0029638235,0.0008154919,0.0003926825,0.0008554885,0.0006353671,0.00042965528],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048622955,0.000069587026,0.7708249,0.000503455,0.0003449053,0.0004120468,0.0066451444,0.016599786,0.0018574538,0.019027194,0.07314416,0.11008509],"study_design_scores_gemma":[0.00002438041,0.000025155263,0.8976614,0.00018840647,0.00011548533,0.00012985627,0.0032029387,0.0033249566,0.00053072715,0.0008947284,0.09380269,0.00009929573],"about_ca_topic_score_codex":0.99880457,"about_ca_topic_score_gemma":0.9994635,"teacher_disagreement_score":0.068364605,"about_ca_system_score_codex":0.068364605,"about_ca_system_score_gemma":0.06806121,"threshold_uncertainty_score":0.49602222},"labels":[],"label_agreement":null},{"id":"W2800203491","doi":"10.1007/s00382-018-4241-0","title":"Modeling distributional changes in winter precipitation of Canada using Bayesian spatiotemporal quantile regression subjected to different teleconnections","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"China Scholarship Council; National Natural Science Foundation of China; Ministry of Science and Technology of the People's Republic of China; University of Alberta","keywords":"Teleconnection; Quantile; Climatology; Environmental science; Precipitation; Pacific decadal oscillation; Quantile regression; North Atlantic oscillation; Climate model; Climate change; Bayesian probability; Covariate; Econometrics; Statistics; Geography; Meteorology; Mathematics; Sea surface temperature; Geology; Oceanography","score_opus":0.019081238796024292,"score_gpt":0.2602891289434599,"score_spread":0.2412078901474356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2800203491","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918657,0.00007900243,0.0068416535,0.0003164479,0.000013055363,0.000008431828,0.00033392335,0.000056852215,0.00048486097],"genre_scores_gemma":[0.99847096,0.000047131773,0.0007615394,0.000017521861,0.0000036462366,0.0000041227845,0.00028540843,0.000011060388,0.0003984437],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996966,0.000053471376,0.000011866215,0.00008932918,0.000035052573,0.000113662005],"domain_scores_gemma":[0.9988059,0.00045400602,0.00019331799,0.00008963531,0.00032690912,0.00013018263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016125566,0.00033386043,0.00033555707,0.00056981744,0.0007894829,0.001107674,0.0012724416,0.0008955081,0.000869374],"category_scores_gemma":[0.00472849,0.00041540488,0.00073385326,0.0009500888,0.0010872532,0.0008321976,0.00062421587,0.00097321405,0.0000736381],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008151166,0.000035749963,0.04797283,0.000009705116,0.000085202424,0.00006592748,0.000085535896,0.9448506,0.00049722765,0.0028973948,0.00042948237,0.0029888235],"study_design_scores_gemma":[0.000009037887,0.0000058030496,0.017013835,0.0000025783659,0.000016527112,0.000005709901,0.000057345813,0.9819967,0.000110311164,0.00063901406,0.00013141391,0.0000116640385],"about_ca_topic_score_codex":0.8749729,"about_ca_topic_score_gemma":0.82095045,"teacher_disagreement_score":0.12502712,"about_ca_system_score_codex":0.0066464255,"about_ca_system_score_gemma":0.0042803907,"threshold_uncertainty_score":0.25152683},"labels":[],"label_agreement":null},{"id":"W2844305936","doi":"10.1007/s00382-018-4340-y","title":"Future projections of temperature changes in Ottawa, Canada through stepwise clustered downscaling of multiple GCMs under RCPs","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University; University of Prince Edward Island; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Representative Concentration Pathways; Downscaling; Climatology; Climate change; Environmental science; Maximum temperature; Mean radiant temperature; Global warming; General Circulation Model; Climate model; Global temperature; Geology","score_opus":0.013215208022885887,"score_gpt":0.23690803975842106,"score_spread":0.22369283173553517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2844305936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968875,0.0005454104,0.0029089886,0.0022380843,0.00018089471,0.00005042189,0.019625584,0.0002699856,0.0053057186],"genre_scores_gemma":[0.98840106,0.00028432504,0.0027741636,0.00013495273,0.00001574073,0.000027231774,0.0061803046,0.000030056595,0.002152104],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996737,0.00004533169,0.00001823345,0.00007082273,0.00008268149,0.00010918943],"domain_scores_gemma":[0.9990466,0.00006128004,0.00006226133,0.00004579441,0.00062966056,0.00015433741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006425869,0.00059846055,0.00042871226,0.0004742113,0.0014708302,0.0010777217,0.0013172752,0.0008340866,0.0022986466],"category_scores_gemma":[0.0017292966,0.00039227918,0.0009086204,0.0014411226,0.0005737065,0.00068829965,0.0004985694,0.0010061978,0.0003058162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064200436,0.00009642218,0.091966406,0.00015206751,0.00034099258,0.00018692392,0.00033348828,0.872999,0.0026832337,0.0031418803,0.012233853,0.015223671],"study_design_scores_gemma":[0.0002992551,0.00010746986,0.21204005,0.000095212104,0.0003668974,0.000060911112,0.0011318974,0.7660687,0.0029740452,0.0020840638,0.01456995,0.0002014814],"about_ca_topic_score_codex":0.98863333,"about_ca_topic_score_gemma":0.99084103,"teacher_disagreement_score":0.02505029,"about_ca_system_score_codex":0.02505029,"about_ca_system_score_gemma":0.028441856,"threshold_uncertainty_score":0.1817534},"labels":[],"label_agreement":null},{"id":"W2885789941","doi":"10.1007/s00382-018-4373-2","title":"On the low-frequency variability of wintertime Euro-Atlantic planetary wave-breaking","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"H2020 European Research Council; FP7 Ideas: European Research Council; National Oceanic and Atmospheric Administration; Stockholms Universitet; Vetenskapsrådet; European Commission","keywords":"Breaking wave; Climatology; Geology; Atlantic hurricane; North Atlantic oscillation; Atmospheric sciences; Wave propagation; Physics; Tropical cyclone","score_opus":0.013687260852375005,"score_gpt":0.21528671688596196,"score_spread":0.20159945603358695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885789941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761754,0.000087692424,0.00040751978,0.00004115305,0.00000890021,0.000002009188,0.0011196197,0.000020937237,0.0006946264],"genre_scores_gemma":[0.9978789,0.00006596085,0.00015165535,0.000009569139,0.000008605915,0.0000023751056,0.0017084063,0.000009122702,0.00016542831],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99988127,0.00002315428,0.000012024845,0.000046540314,0.00001648004,0.000020505868],"domain_scores_gemma":[0.99945897,0.00022123815,0.00013078534,0.00007837543,0.000064456406,0.00004609836],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033846244,0.00026210307,0.00015943522,0.00048301107,0.00011911567,0.0005395264,0.00021496663,0.00029444802,0.0013857444],"category_scores_gemma":[0.0012305551,0.00009530898,0.00039527076,0.0007716012,0.00020318739,0.00042084372,0.0002880248,0.00027286,0.00026248395],"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":[0.00040461388,0.00016151319,0.8984705,0.000101943915,0.00042507835,0.00033712454,0.00023235974,0.06269268,0.014557358,0.0011315915,0.0017634607,0.019721713],"study_design_scores_gemma":[0.000007978222,0.000021308417,0.95488983,0.000013897688,0.000026920494,0.000038991537,0.00007510585,0.04340362,0.0006938022,0.00017074094,0.00064567424,0.000012043839],"about_ca_topic_score_codex":0.010600173,"about_ca_topic_score_gemma":0.010306978,"teacher_disagreement_score":0.010600173,"about_ca_system_score_codex":0.00018407746,"about_ca_system_score_gemma":0.00012884103,"threshold_uncertainty_score":0.021076977},"labels":[],"label_agreement":null},{"id":"W2892828071","doi":"10.1007/s00382-018-4469-8","title":"Climate warming will not decrease perceived low-temperature extremes in China","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; McMaster University; University of Regina","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Environmental science; Climatology; Climate change; Baseline (sea); Wind speed; China; Mean radiant temperature; Global warming; Greenhouse gas; Atmospheric sciences; Meteorology; Geography; Geology","score_opus":0.008886745324996408,"score_gpt":0.2346915439734455,"score_spread":0.22580479864844907,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892828071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845326,0.000025308293,0.00019161479,0.00037130903,0.0000068622962,0.0000015450515,0.00006137678,0.000008593337,0.0008800878],"genre_scores_gemma":[0.9997615,0.0000123464815,0.000021666352,0.000017695269,0.000002569244,0.0000010364797,0.00003043513,0.0000016996476,0.00015097097],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998716,0.000023442655,0.000005284998,0.0000316064,0.00001158049,0.000056495915],"domain_scores_gemma":[0.99960417,0.00007939285,0.00008764327,0.000042754466,0.000058161822,0.00012795326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005708375,0.0002045469,0.00021785204,0.00024176583,0.0005784577,0.0008907855,0.0004750639,0.0003218269,0.0019078273],"category_scores_gemma":[0.0010421377,0.00016382859,0.0003680773,0.00042635578,0.000519029,0.00068582955,0.00046837362,0.00036245357,0.00008950428],"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":[0.0005619193,0.00021143303,0.83817536,0.00008536559,0.00027580117,0.00032427444,0.001411391,0.123258,0.0051815375,0.011478867,0.004206354,0.014829712],"study_design_scores_gemma":[0.000057855723,0.00006572144,0.8841141,0.000008623244,0.00009700253,0.000021716307,0.00075926253,0.10815036,0.00043679064,0.005416934,0.0008417995,0.000029832085],"about_ca_topic_score_codex":0.07525277,"about_ca_topic_score_gemma":0.09716067,"teacher_disagreement_score":0.07525277,"about_ca_system_score_codex":0.0020684316,"about_ca_system_score_gemma":0.0014645597,"threshold_uncertainty_score":0.14962947},"labels":[],"label_agreement":null},{"id":"W2898570083","doi":"10.1007/s00382-018-4508-5","title":"Evaluation of convection-permitting WRF CONUS simulation on the relationship between soil moisture and heatwaves","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Directorate for Geosciences; Global Institute for Water Security, University of Saskatchewan","keywords":"Environmental science; Weather Research and Forecasting Model; Water content; Moisture; Climatology; Antecedent (behavioral psychology); Antecedent moisture; Quantile; Atmospheric sciences; Meteorology; Geology; Geography; Mathematics; Runoff curve number","score_opus":0.0809068474854322,"score_gpt":0.32391344886051404,"score_spread":0.24300660137508184,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898570083","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940428,0.000049142458,0.001272874,0.0001246559,0.000027006801,0.000020656005,0.00039090583,0.00017320133,0.003898729],"genre_scores_gemma":[0.9984989,0.00001976891,0.0009002765,0.000021467482,0.0000062736754,0.000009690632,0.00018104908,0.000019984682,0.00034252077],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998136,0.00006641089,0.000008003112,0.00003702723,0.000023644332,0.000051328934],"domain_scores_gemma":[0.9989157,0.0006041462,0.00007905704,0.00009251842,0.00017849146,0.00013007333],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070415996,0.00072715635,0.00065348536,0.00032956968,0.0006479955,0.0005678551,0.00096293207,0.0009996054,0.002230872],"category_scores_gemma":[0.0018715364,0.00029253968,0.0004819928,0.00045593962,0.00050156924,0.00058668235,0.00042250325,0.00073859154,0.00013006951],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032853213,0.00023227888,0.008159264,0.00004660621,0.00003787031,0.00015359258,0.000040451494,0.98425716,0.002680399,0.00046272657,0.00046475654,0.0031363752],"study_design_scores_gemma":[0.000052129395,0.00006062354,0.0030961556,0.0000029937378,0.000011922044,0.000006467664,0.000029845003,0.9956898,0.0008736111,0.000058881367,0.0001109619,0.000006619001],"about_ca_topic_score_codex":0.0680437,"about_ca_topic_score_gemma":0.037419,"teacher_disagreement_score":0.0680437,"about_ca_system_score_codex":0.00072745123,"about_ca_system_score_gemma":0.00118326,"threshold_uncertainty_score":0.13529527},"labels":[],"label_agreement":null},{"id":"W2899263486","doi":"10.1007/s00382-018-4520-9","title":"Seasonal prediction skill and predictability of the Northern Hemisphere storm track variability in Project Minerva","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Institute for Basic Science; National Aeronautics and Space Administration; National Oceanic and Atmospheric Administration; National Science Foundation","keywords":"Predictability; Climatology; Storm; Storm track; Northern Hemisphere; Environmental science; Track (disk drive); Meteorology; Southern Hemisphere; Forecast skill; Geology; Geography; Computer science; Statistics; Mathematics","score_opus":0.008781078175566661,"score_gpt":0.2244371151915538,"score_spread":0.21565603701598712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899263486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953524,0.00004487529,0.0013651523,0.00005628649,0.000004955921,0.000011152492,0.0017021196,0.00019763666,0.0012655009],"genre_scores_gemma":[0.9893579,0.000047768626,0.0020835022,0.000008166701,0.0000037328316,0.000026188132,0.0075071095,0.00005582109,0.00090977387],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99945277,0.00016581014,0.00003246193,0.00016037447,0.00012419507,0.00006443714],"domain_scores_gemma":[0.99920577,0.00023940453,0.00017412317,0.00017982561,0.00014634868,0.00005447954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015424025,0.0003395537,0.00027193752,0.00058132573,0.00016389812,0.00054448436,0.00052739494,0.0002277291,0.0007197823],"category_scores_gemma":[0.003875474,0.00025013453,0.00049571856,0.00042994577,0.000147657,0.0004357556,0.00096759695,0.00025223457,0.0003396531],"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":[0.0004953695,0.00013037307,0.7512058,0.00009332764,0.00035350063,0.00023337774,0.00037896124,0.1630801,0.0048599597,0.00039014764,0.004298311,0.07448071],"study_design_scores_gemma":[0.000088810106,0.00019798278,0.6596448,0.00004928698,0.00006109694,0.00020252593,0.00019444826,0.327887,0.004761998,0.00050862506,0.0063624843,0.000040941944],"about_ca_topic_score_codex":0.023151826,"about_ca_topic_score_gemma":0.025528219,"teacher_disagreement_score":0.023151826,"about_ca_system_score_codex":0.0004629274,"about_ca_system_score_gemma":0.00065636187,"threshold_uncertainty_score":0.046034098},"labels":[],"label_agreement":null},{"id":"W2904386402","doi":"10.1007/s00382-018-4569-5","title":"Multidecadal to centennial surface wintertime wind variability over Northeastern North America via statistical downscaling","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"Secretaría de Estado de Investigación, Desarrollo e Innovación; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Downscaling; Climatology; Environmental science; Scale (ratio); Centennial; Standard deviation; Atmospheric sciences; Meteorology; Geology; Statistics; Geography; Mathematics; Precipitation","score_opus":0.008379004047417123,"score_gpt":0.2446788419729403,"score_spread":0.23629983792552317,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904386402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951196,0.000094243056,0.002823273,0.0001565729,0.0000453052,0.000007979717,0.00081346947,0.00014395178,0.0007956686],"genre_scores_gemma":[0.995561,0.00006816578,0.0020619766,0.000028533444,0.000022425074,0.000009963638,0.0016874435,0.00004714245,0.00051331945],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998753,0.000027188014,0.000009551193,0.00005519223,0.000014851417,0.000017871738],"domain_scores_gemma":[0.9995272,0.000121882156,0.00007836091,0.00008841597,0.00014130934,0.00004283974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056035735,0.0002902206,0.00019303565,0.0004221689,0.00036204915,0.0005236184,0.00039745023,0.0002604669,0.0012511897],"category_scores_gemma":[0.001753544,0.00030213775,0.00045804319,0.0007907516,0.00017579754,0.00066206866,0.0004045345,0.0005095425,0.00016861159],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031738565,0.00028801194,0.4585124,0.00007185332,0.0006453085,0.00018988435,0.00033966397,0.4649888,0.0065589836,0.0017017219,0.0046843686,0.061701655],"study_design_scores_gemma":[0.00004642785,0.00002800808,0.33472797,0.000019467056,0.00012237045,0.000026897374,0.00015171466,0.6604452,0.000971556,0.0011422883,0.0022868328,0.000031296688],"about_ca_topic_score_codex":0.06020069,"about_ca_topic_score_gemma":0.1011895,"teacher_disagreement_score":0.06020069,"about_ca_system_score_codex":0.00039155417,"about_ca_system_score_gemma":0.0007319406,"threshold_uncertainty_score":0.11970055},"labels":[],"label_agreement":null},{"id":"W2904396293","doi":"10.1007/s00382-018-4586-4","title":"Modification of the wintertime Pacific–North American pattern related North American climate anomalies by the Asian–Bering–North American teleconnection","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Teleconnection; Climatology; Advection; Atmospheric circulation; Sea surface temperature; Precipitation; Geology; Extratropical cyclone; Walker circulation; Oceanography; Geography; El Niño Southern Oscillation","score_opus":0.007550666214470105,"score_gpt":0.21624191498569206,"score_spread":0.20869124877122197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904396293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981152,0.00003993509,0.00017278113,0.00003143579,0.0000072171897,0.0000036059719,0.00012940005,0.000014485424,0.0014858452],"genre_scores_gemma":[0.99952257,0.00004323396,0.00010701039,0.000011894137,0.000006227789,0.000002434882,0.00010589175,0.0000030269005,0.0001976363],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993944,0.000008745291,0.000004220928,0.000022512593,0.000012957605,0.000012166555],"domain_scores_gemma":[0.99985266,0.000011210996,0.00005953272,0.000011907373,0.000041997577,0.000022745622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000103419676,0.0001287337,0.000066029344,0.00025522898,0.00015605765,0.00027763998,0.000090605274,0.000072980474,0.00076234445],"category_scores_gemma":[0.0002700061,0.00005862172,0.000110214256,0.00037902847,0.00013884807,0.00014706305,0.0001694009,0.00011684756,0.000057575722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017400613,0.00005101544,0.91748774,0.00003289799,0.0001441732,0.00040709556,0.00030372743,0.002730284,0.056723874,0.00055229565,0.0009472615,0.020445567],"study_design_scores_gemma":[0.0000019024985,0.000004508721,0.9983133,9.0782993e-7,0.000007254198,0.000028837367,0.00003809685,0.0010298346,0.00026054442,0.000024433422,0.00028871367,0.00000175529],"about_ca_topic_score_codex":0.028007412,"about_ca_topic_score_gemma":0.048513584,"teacher_disagreement_score":0.9719926,"about_ca_system_score_codex":0.0003338569,"about_ca_system_score_gemma":0.0002831657,"threshold_uncertainty_score":0.0556888},"labels":[],"label_agreement":null},{"id":"W2906527860","doi":"10.1007/s00382-018-4600-x","title":"Linear trends in temperature extremes in China, with an emphasis on non-Gaussian and serially dependent characteristics","year":2018,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Key Research and Development Program of China; Jiangsu Collaborative Innovation Center for Climate Change; Youth Innovation Promotion Association of the Chinese Academy of Sciences; Youth Innovation Promotion Association; Chinese Academy of Sciences","keywords":"Climatology; Linear regression; Ordinary least squares; Estimator; Environmental science; Gaussian; Statistics; Trend analysis; Econometrics; Mathematics; Meteorology; Geography; Geology","score_opus":0.008177993578961484,"score_gpt":0.2431528559052124,"score_spread":0.23497486232625092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2906527860","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966492,0.00025008604,0.0012007083,0.000066199,0.000007423519,0.0000068884956,0.00060108665,0.000025979858,0.0011925335],"genre_scores_gemma":[0.99842215,0.0001347779,0.00040854176,0.000008903786,0.000008979176,0.0000071004774,0.0006822218,0.0000037434877,0.00032372543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99964404,0.000038794144,0.00004473396,0.00010121799,0.00012069603,0.000050502953],"domain_scores_gemma":[0.999203,0.00012702524,0.00025851288,0.00009282346,0.0002720055,0.000046584384],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070818985,0.00022449277,0.00020778779,0.0012342515,0.00027775197,0.00047548837,0.00020698931,0.0001235242,0.00053521246],"category_scores_gemma":[0.0013860659,0.00013483634,0.00040814176,0.0026596058,0.00026099564,0.0004661446,0.00038197899,0.00020562945,0.00008521647],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000036035774,0.000013064643,0.9706233,0.000055667013,0.00012869156,0.00015152889,0.0005374707,0.0067223613,0.0018573314,0.0010174046,0.0005072802,0.01834984],"study_design_scores_gemma":[0.0000012455996,0.000013853056,0.9945479,0.000004303747,0.00001979148,0.000022791502,0.00010127513,0.0042848233,0.00015626494,0.00018123421,0.0006608895,0.0000057389943],"about_ca_topic_score_codex":0.028017463,"about_ca_topic_score_gemma":0.046114314,"teacher_disagreement_score":0.028017463,"about_ca_system_score_codex":0.0006433802,"about_ca_system_score_gemma":0.0007012923,"threshold_uncertainty_score":0.055708766},"labels":[],"label_agreement":null},{"id":"W2911936104","doi":"10.1007/s00382-019-04664-w","title":"Regionalization and parameterization of a hydrologic model significantly affect the cascade of uncertainty in climate-impact projections","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina; Alberta Biodiversity Monitoring Institute; University of Alberta","funders":"Alberta Innovates","keywords":"Evapotranspiration; Environmental science; Downscaling; Climatology; Climate change; Water resources; Climate model; Uncertainty analysis; Greenhouse gas; Propagation of uncertainty; Cascade; Representative Concentration Pathways; Variance (accounting); Hydrological modelling; General Circulation Model; Atmospheric sciences; Precipitation; Meteorology; Statistics; Mathematics; Geography","score_opus":0.011923985644728304,"score_gpt":0.2521319825840943,"score_spread":0.240207996939366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911936104","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91167736,0.00049872743,0.07898224,0.0012131874,0.00007281748,0.00004524666,0.00047317494,0.00039737098,0.0066399504],"genre_scores_gemma":[0.9928925,0.00014161025,0.0064576985,0.000049856197,0.0000106806765,0.00001050232,0.00016804964,0.00007482746,0.00019424042],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99853873,0.0009006864,0.00008859757,0.00022337519,0.00013081105,0.00011781581],"domain_scores_gemma":[0.99335337,0.0044321376,0.0007324964,0.00083249895,0.0005007688,0.0001486843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004230129,0.00064386934,0.00051035837,0.00052166614,0.0004633666,0.0018973101,0.0006091209,0.0009694365,0.0009720942],"category_scores_gemma":[0.017858285,0.0006281763,0.0008859358,0.0006069532,0.0006942115,0.0023566857,0.0010451429,0.0014172831,0.00014393532],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000105098916,0.000074182026,0.03790401,0.000026282049,0.00018962727,0.00009002971,0.000049738144,0.9449127,0.004865995,0.0039387355,0.00025400284,0.007589599],"study_design_scores_gemma":[0.000026551326,0.000055308697,0.020946275,0.000017705292,0.0001485395,0.000033918008,0.00007969802,0.9683422,0.005302965,0.003986416,0.0010198398,0.00004059063],"about_ca_topic_score_codex":0.012677674,"about_ca_topic_score_gemma":0.014507786,"teacher_disagreement_score":0.012677674,"about_ca_system_score_codex":0.0010747408,"about_ca_system_score_gemma":0.0014274822,"threshold_uncertainty_score":0.025207758},"labels":[],"label_agreement":null},{"id":"W2916687336","doi":"10.1007/s00382-019-04676-6","title":"Development and testing of a subgrid glacier mass balance model for nesting in the Canadian Regional Climate Model","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Glacier; Glacier mass balance; Downscaling; Climatology; Terrain; Geology; Climate change; Elevation (ballistics); Climate model; Environmental science; Physical geography; Geomorphology; Geography; Cartography","score_opus":0.05090849913893159,"score_gpt":0.2293912591448242,"score_spread":0.1784827600058926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2916687336","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92436475,0.00028090362,0.03348287,0.0013386902,0.00022321047,0.00037220892,0.008981578,0.00300579,0.027949966],"genre_scores_gemma":[0.96108955,0.0001249601,0.03132623,0.00015760322,0.000023562616,0.00012222312,0.0034134998,0.00037408835,0.003368218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99972326,0.000067794994,0.000015009789,0.0000559556,0.00006026615,0.00007760624],"domain_scores_gemma":[0.99896455,0.00024659638,0.0000437777,0.00007431776,0.00051611103,0.00015454079],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001026328,0.0008551906,0.0006777682,0.0005362493,0.0018015021,0.0012426173,0.0034629202,0.0009561946,0.0045012953],"category_scores_gemma":[0.0031320564,0.00066874886,0.0006300579,0.00052338117,0.0005738805,0.0011339503,0.00071828405,0.0010950529,0.00054940034],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010205567,0.00013218464,0.0101670455,0.000036027428,0.00007960111,0.00005518432,0.00008590228,0.97614574,0.00079143647,0.0029358568,0.0028015785,0.006667294],"study_design_scores_gemma":[0.000066733504,0.000011688355,0.001771991,0.000005508408,0.000018315977,0.0000032125602,0.00003109366,0.9967428,0.00023431105,0.00021530605,0.00088582735,0.000013242697],"about_ca_topic_score_codex":0.9465469,"about_ca_topic_score_gemma":0.93484735,"teacher_disagreement_score":0.053453088,"about_ca_system_score_codex":0.008293163,"about_ca_system_score_gemma":0.017339723,"threshold_uncertainty_score":0.10753572},"labels":[],"label_agreement":null},{"id":"W2917860716","doi":"10.1007/s00382-019-04627-1","title":"Springtime North Pacific Oscillation and summer sea ice in the Beaufort sea","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Office of Naval Research Global; Office of Energy Research and Development","keywords":"Sea ice; Arctic ice pack; Climatology; Oceanography; Geology; Beaufort scale; Beaufort sea; Arctic sea ice decline; Arctic; Antarctic sea ice; Arctic oscillation; Mesocyclone; Cyclone (programming language); The arctic","score_opus":0.009017388502744911,"score_gpt":0.20233485640797658,"score_spread":0.19331746790523166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2917860716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977501,0.00031254932,0.000036751826,0.00022739184,0.00001547849,0.0000012711117,0.0004168163,0.000007148098,0.0012325539],"genre_scores_gemma":[0.99843067,0.00012835565,0.000062976345,0.000063804066,0.000022520058,0.0000019281715,0.00054273807,0.0000064046667,0.0007406715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99985147,0.000032186224,0.000009046088,0.000031858937,0.000023156463,0.000052275092],"domain_scores_gemma":[0.99951243,0.00012056603,0.00011284556,0.000025106954,0.000088676104,0.00014038086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004762341,0.00016180293,0.00022851148,0.0007393496,0.0007046171,0.0011343592,0.00033875523,0.000361431,0.0020378248],"category_scores_gemma":[0.0011591535,0.000169514,0.00038511102,0.0011197932,0.0005044357,0.0006081203,0.0004868493,0.0002370849,0.0001782249],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002826904,0.000029378514,0.98812395,0.000015975244,0.00012807567,0.00022833285,0.0007558779,0.0016912569,0.0004789183,0.0005387356,0.0014685161,0.00625826],"study_design_scores_gemma":[0.00000427775,0.000005286005,0.9985821,0.0000037464235,0.000007985429,0.000018575818,0.00023747925,0.00053254043,0.000020794667,0.000052709514,0.00053178327,0.0000027447034],"about_ca_topic_score_codex":0.46959993,"about_ca_topic_score_gemma":0.5788765,"teacher_disagreement_score":0.46959993,"about_ca_system_score_codex":0.0018106368,"about_ca_system_score_gemma":0.0015782228,"threshold_uncertainty_score":0.9337331},"labels":[],"label_agreement":null},{"id":"W2920970074","doi":"10.1007/s00382-019-04709-0","title":"Seasonal predictability of the tropical Indian Ocean SST in the North American multimodel ensemble","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Young Scientists Fund; Key Programme; National Natural Science Foundation of China","keywords":"Predictability; Climatology; Indian Ocean Dipole; Thermocline; Upwelling; Sea surface temperature; Environmental science; Mode (computer interface); El Niño Southern Oscillation; Forecast skill; Oceanography; Geology; Computer science; Mathematics; Statistics","score_opus":0.004823334976991748,"score_gpt":0.18915074951980787,"score_spread":0.18432741454281612,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2920970074","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934174,0.0001408247,0.004388635,0.00012958655,0.000021810434,0.0000034803597,0.001213478,0.0001244223,0.0005605086],"genre_scores_gemma":[0.9962835,0.00009019178,0.001425214,0.000013547403,0.000014850376,0.000006630765,0.0019959994,0.000013661393,0.00015649271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999114,0.000023334138,0.000005319265,0.000028319173,0.00001659458,0.000015007231],"domain_scores_gemma":[0.9997334,0.00008441993,0.00005364282,0.000052949996,0.000052724758,0.00002288258],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004767435,0.00024708512,0.00019589909,0.00030315455,0.00015631602,0.00032751125,0.00021958794,0.00013198899,0.00031236617],"category_scores_gemma":[0.001036811,0.00009205199,0.0003803826,0.0004095083,0.00008957259,0.00030335668,0.00026928933,0.00026438475,0.00006821816],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014636038,0.00008964168,0.40509847,0.000042052132,0.00048090745,0.0001825444,0.000069710295,0.54875946,0.004533065,0.0010116902,0.0038538934,0.035732158],"study_design_scores_gemma":[0.000006715298,0.000015352116,0.14321284,0.0000042005227,0.000037506714,0.00002301588,0.000026667332,0.85464734,0.0008014973,0.00038282652,0.00083016703,0.000011877459],"about_ca_topic_score_codex":0.022981713,"about_ca_topic_score_gemma":0.03009358,"teacher_disagreement_score":0.022981713,"about_ca_system_score_codex":0.00024582,"about_ca_system_score_gemma":0.00044576943,"threshold_uncertainty_score":0.04569584},"labels":[],"label_agreement":null},{"id":"W2921344543","doi":"10.1007/s00382-019-04714-3","title":"Impacts of tropical tropopause warming on the stratospheric water vapor","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Fonds de recherche du Québec – Nature et technologies; Canadian Space Agency; Postdoctoral Research Foundation of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Tropopause; Stratosphere; Environmental science; Climatology; Atmospheric sciences; Boreal; Water vapor; Tropical cyclogenesis; Global warming; Tropical climate; Tropical cyclone; Climate change; Geography; Geology; Meteorology; Cyclone (programming language)","score_opus":0.00833501429390529,"score_gpt":0.20729267973230414,"score_spread":0.19895766543839885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2921344543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944041,0.00035403096,0.0000908638,0.0005662399,0.000039789946,0.000003527529,0.00082714023,0.000015125608,0.003699055],"genre_scores_gemma":[0.99914026,0.00017764421,0.000031700485,0.000041043004,0.000018029798,0.00000169594,0.00019163112,0.000004950601,0.0003930425],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985874,0.000035657617,0.000004632174,0.000014574873,0.000012158603,0.0000741814],"domain_scores_gemma":[0.9997603,0.00007118981,0.000042841682,0.000016658252,0.000039462975,0.00006954097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025629485,0.00027743835,0.0001595578,0.00021811352,0.0003848622,0.0006323716,0.00018081642,0.0003930323,0.0056899088],"category_scores_gemma":[0.00050523476,0.00009714708,0.00062505767,0.00035777382,0.00032110055,0.00055355765,0.00058226,0.00035583123,0.00022992372],"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":[0.004615409,0.00043147383,0.8152161,0.00038639572,0.0015110124,0.0022293238,0.0009291286,0.05854217,0.07211526,0.009220963,0.005700987,0.029101761],"study_design_scores_gemma":[0.000047929356,0.0001344521,0.98792404,0.000013957339,0.00019571958,0.000090257316,0.00071247696,0.004009801,0.0035475288,0.0009260064,0.0023862508,0.000011684782],"about_ca_topic_score_codex":0.03041681,"about_ca_topic_score_gemma":0.028499555,"teacher_disagreement_score":0.03041681,"about_ca_system_score_codex":0.0006653059,"about_ca_system_score_gemma":0.0005846825,"threshold_uncertainty_score":0.06047952},"labels":[],"label_agreement":null},{"id":"W2932421250","doi":"10.1007/s00382-019-04750-z","title":"Coupling annual, monthly and daily weather generators to simulate multisite and multivariate climate variables with low-frequency variability for hydrological modelling","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Rio Tinto (Canada); École de Technologie Supérieure; Université du Québec à Montréal","funders":"Overseas Expertise Introduction Project for Discipline Innovation; National Natural Science Foundation of China","keywords":"Multivariate statistics; Environmental science; Climatology; Precipitation; Autoregressive model; Climate model; Climate change; Multivariate analysis; Meteorology; Statistics; Geography; Mathematics","score_opus":0.006407813929221337,"score_gpt":0.2147732293207155,"score_spread":0.20836541539149417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2932421250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71708816,0.00015123992,0.27370062,0.0002776921,0.00023425568,0.00011670989,0.00071588164,0.0020048334,0.005710523],"genre_scores_gemma":[0.98316723,0.000035796576,0.015633857,0.000030291227,0.000015696953,0.000050266044,0.0002534907,0.00008651341,0.0007268508],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998306,0.00006746313,0.000014758248,0.000037506692,0.000027198783,0.00002248678],"domain_scores_gemma":[0.999342,0.00037732755,0.00004962051,0.000085137275,0.00009354451,0.00005233398],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004868214,0.0004284236,0.0004674744,0.00033795575,0.00027887174,0.0006057638,0.0008514942,0.0009549286,0.0018144983],"category_scores_gemma":[0.0019927705,0.00041697317,0.00048367336,0.00050742057,0.00027081175,0.0007252994,0.00048210882,0.0010203059,0.00020364161],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019790275,0.000053845644,0.0014396682,0.0000075576804,0.000018550792,0.000011242764,0.00001471512,0.99491525,0.00046689826,0.00033257806,0.00018551652,0.0025343418],"study_design_scores_gemma":[0.0000060628636,0.000005111055,0.0002683556,5.5044995e-7,0.000002928942,0.0000012984738,0.0000025569377,0.9993368,0.00012360395,0.00018281804,0.00006776982,0.0000021933813],"about_ca_topic_score_codex":0.020251824,"about_ca_topic_score_gemma":0.021246364,"teacher_disagreement_score":0.020251824,"about_ca_system_score_codex":0.0005175124,"about_ca_system_score_gemma":0.00081465463,"threshold_uncertainty_score":0.040267885},"labels":[],"label_agreement":null},{"id":"W2939483215","doi":"10.1007/s00382-019-04755-8","title":"Assessing natural variability in RCM signals: comparison of a multi model EURO-CORDEX ensemble with a 50-member single model large ensemble","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":101,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Bayerisches Staatsministerium für Umwelt und Verbraucherschutz","keywords":"Climatology; Precipitation; Climate model; Environmental science; Ensemble average; Climate change; GCM transcription factors; Spatial variability; Natural (archaeology); Meteorology; General Circulation Model; Geography; Statistics; Geology; Mathematics","score_opus":0.03932467131082532,"score_gpt":0.3022292712424457,"score_spread":0.26290459993162035,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939483215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984883,0.000566716,0.0099671,0.0002490968,0.00010044228,0.000040223393,0.0016943883,0.0004318558,0.002067175],"genre_scores_gemma":[0.9906961,0.00014127046,0.005395374,0.00005181821,0.0000475997,0.000036038855,0.0032806152,0.000083098916,0.00026804814],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995185,0.00016519144,0.00003519346,0.00013831012,0.00010009759,0.00004280751],"domain_scores_gemma":[0.9982475,0.00063079194,0.00019311633,0.00039611448,0.00042923336,0.00010319112],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028800305,0.001163023,0.0009790722,0.00078922836,0.0004378692,0.00088794326,0.0010151573,0.00091933034,0.0006274691],"category_scores_gemma":[0.0037162423,0.00029887,0.0010729613,0.0008083613,0.00028773854,0.0012039841,0.0006954491,0.000580251,0.00013462307],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045668913,0.00010597182,0.048644107,0.000064264736,0.0007894422,0.00013924726,0.000059663063,0.92717475,0.0023854405,0.00076769025,0.0012273343,0.018185457],"study_design_scores_gemma":[0.000054851986,0.000084071056,0.034523807,0.000016810185,0.00013569099,0.000027816039,0.000028999755,0.9622264,0.0015259858,0.00035485002,0.0009867193,0.0000340323],"about_ca_topic_score_codex":0.037010144,"about_ca_topic_score_gemma":0.019504556,"teacher_disagreement_score":0.037010144,"about_ca_system_score_codex":0.0007838192,"about_ca_system_score_gemma":0.0006403856,"threshold_uncertainty_score":0.073589444},"labels":[],"label_agreement":null},{"id":"W2940159302","doi":"10.1007/s00382-019-04754-9","title":"Simulating the convective precipitation diurnal cycle in North America’s current and future climate","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Diurnal cycle; Precipitation; Weather Research and Forecasting Model; Climatology; Environmental science; Mesoscale meteorology; Climate model; Convection; Atmospheric sciences; Diurnal temperature variation; Magnitude (astronomy); Climate change; Meteorology; Geology; Geography","score_opus":0.007181802989377044,"score_gpt":0.24178282110530167,"score_spread":0.23460101811592463,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940159302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98949546,0.00013474304,0.00306278,0.00083963637,0.000104690684,0.0000170795,0.00068845943,0.00012296782,0.0055340375],"genre_scores_gemma":[0.9975439,0.00005584837,0.0012527588,0.000045588804,0.000021887081,0.000013048463,0.00023906994,0.000021892989,0.0008060301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998996,0.000034344215,0.000004642783,0.000026373591,0.000009916059,0.000025054836],"domain_scores_gemma":[0.9996419,0.00014784909,0.00004261031,0.000030810294,0.000049270082,0.00008761072],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000401976,0.00028510584,0.0002834539,0.0002386129,0.00062861445,0.00082534994,0.0007325735,0.0011191854,0.0019675377],"category_scores_gemma":[0.001350509,0.00037050332,0.00046928218,0.00045440727,0.0004048555,0.0009117885,0.00043158216,0.0008331446,0.00011350594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055927023,0.00006825581,0.011401495,0.000015394651,0.000044786273,0.000051453942,0.00007008053,0.9833546,0.0005711998,0.0013308593,0.0010964912,0.001939414],"study_design_scores_gemma":[0.000032183103,0.000013356871,0.0056069754,0.000003565273,0.000011744824,0.000006476762,0.00006883279,0.99288404,0.00013687823,0.0006183613,0.00060759706,0.000010058851],"about_ca_topic_score_codex":0.19011502,"about_ca_topic_score_gemma":0.2008627,"teacher_disagreement_score":0.19011502,"about_ca_system_score_codex":0.001990781,"about_ca_system_score_gemma":0.002099754,"threshold_uncertainty_score":0.3780169},"labels":[],"label_agreement":null},{"id":"W2940332698","doi":"10.1007/s00382-019-04762-9","title":"Interannual variations of the rainy season withdrawal of the monsoon transitional zone in China","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":105,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China; National Center for Atmospheric Research","keywords":"Anticyclone; Climatology; Geopotential height; Precipitation; Wet season; Anomaly (physics); Monsoon; Atmospheric circulation; Environmental science; Period (music); Teleconnection; Geology; Atmospheric sciences; Geography; Meteorology; El Niño Southern Oscillation","score_opus":0.0035221569374840407,"score_gpt":0.1974929302620047,"score_spread":0.19397077332452067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940332698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993724,0.000040228002,0.00009246958,0.000046042172,0.0000042906186,0.000001438606,0.00018055798,0.000010372791,0.0002521894],"genre_scores_gemma":[0.99959296,0.000023295182,0.000023867726,0.000005354265,0.0000036372542,0.0000020461566,0.00021775035,0.000002218808,0.00012881758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999118,0.000010317127,0.000007064257,0.000027682092,0.000010650426,0.000032587224],"domain_scores_gemma":[0.9997073,0.000044848282,0.000081889324,0.000025829519,0.000048930484,0.000091112954],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004024106,0.0002584572,0.00024352269,0.0006456892,0.0003861063,0.00067189167,0.0004070557,0.00034002663,0.0009088945],"category_scores_gemma":[0.0004600642,0.00022799526,0.00041397757,0.00091743714,0.0003022219,0.000408852,0.00049554044,0.00024744746,0.00010463055],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00036864393,0.000105258565,0.95873225,0.000049117047,0.00028410763,0.00026161788,0.0006513772,0.022302842,0.0075584757,0.0011021313,0.0012818153,0.0073024393],"study_design_scores_gemma":[0.000011627519,0.00001648816,0.97908735,0.000003710478,0.000030197274,0.000018601588,0.000117652475,0.020018138,0.00019112915,0.000130125,0.0003656658,0.000009251789],"about_ca_topic_score_codex":0.05299466,"about_ca_topic_score_gemma":0.044988126,"teacher_disagreement_score":0.05299466,"about_ca_system_score_codex":0.0010267142,"about_ca_system_score_gemma":0.0008261813,"threshold_uncertainty_score":0.10537243},"labels":[],"label_agreement":null},{"id":"W2945621175","doi":"10.1007/s00382-019-04791-4","title":"Predicting the global temperature with the Stochastic Seasonal to Interannual Prediction System (StocSIPS)","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Hindcast; Intermittency; Climatology; Scaling; Environmental science; Gaussian; Scale (ratio); Stochastic modelling; Meteorology; Statistical physics; Econometrics; Mathematics; Statistics; Geology; Physics; Turbulence","score_opus":0.003566747410092008,"score_gpt":0.19704606328343766,"score_spread":0.19347931587334566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945621175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89353895,0.00039478808,0.081934094,0.0010894062,0.00048821932,0.00006778516,0.012938746,0.0035387948,0.0060091764],"genre_scores_gemma":[0.9647915,0.00012168198,0.028068317,0.00007160741,0.0000779136,0.000051071267,0.0056887227,0.00014386662,0.0009853021],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987817,0.000031538922,0.0000075380763,0.000040360173,0.000025944792,0.00001641668],"domain_scores_gemma":[0.9996351,0.00012448656,0.000042323893,0.000052941057,0.00009909631,0.000046022884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061763055,0.0004603875,0.0004443482,0.0002773902,0.00032919506,0.0005320464,0.0005707643,0.00052695855,0.0013183746],"category_scores_gemma":[0.0013586527,0.00034821744,0.00048727082,0.00064153504,0.00022842303,0.0006486059,0.00047042675,0.0007803727,0.00027981264],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006985738,0.000033923385,0.01006177,0.00002349206,0.00007674015,0.000015054043,0.000012207341,0.97370696,0.0006094824,0.00084941945,0.0035933547,0.010947763],"study_design_scores_gemma":[0.000021972884,0.000008543183,0.0022237557,0.0000017279369,0.000012012404,0.0000025647867,0.0000029773275,0.996606,0.00024680182,0.00047365596,0.0003952561,0.000004841444],"about_ca_topic_score_codex":0.05836388,"about_ca_topic_score_gemma":0.04767055,"teacher_disagreement_score":0.05836388,"about_ca_system_score_codex":0.00056079094,"about_ca_system_score_gemma":0.0017440785,"threshold_uncertainty_score":0.116048336},"labels":[],"label_agreement":null},{"id":"W2952576696","doi":"10.1007/s00382-019-04866-2","title":"Nonstationary warm spell frequency analysis integrating climate variability and change with application to the Middle East","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut National de la Recherche Scientifique","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Environmental science; North Atlantic oscillation; Atlantic multidecadal oscillation; Climate model; Climate change; Geology; Oceanography","score_opus":0.018325276495991305,"score_gpt":0.22699753377144907,"score_spread":0.20867225727545777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2952576696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81036264,0.00045838938,0.18681599,0.0001400735,0.0000465265,0.000023769691,0.00022319437,0.00030392522,0.0016255663],"genre_scores_gemma":[0.97068566,0.00024941427,0.027592432,0.00001389326,0.000053001317,0.000015542893,0.00019609283,0.000059002192,0.001134921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99992,0.000024685301,0.0000065421773,0.00002060136,0.000013131788,0.000015020504],"domain_scores_gemma":[0.9998109,0.000107973225,0.00002459846,0.000018136849,0.0000239681,0.000014496769],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043402374,0.0003488526,0.0003585513,0.0007180688,0.0004804302,0.000601452,0.0004498844,0.00031960342,0.0011230573],"category_scores_gemma":[0.00088120473,0.00018179906,0.0006836115,0.0009707859,0.00017580156,0.00053047313,0.00037747074,0.00034892227,0.00010792023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020791753,0.00017205831,0.031000623,0.000060681916,0.00031490836,0.00032286896,0.00017354112,0.81328416,0.008841174,0.006338177,0.0005572404,0.13872667],"study_design_scores_gemma":[0.0000060995853,0.00001222031,0.009544688,0.0000021006415,0.000020781463,0.00001077384,0.000025468295,0.9889599,0.0003385409,0.0008895474,0.00018336334,0.0000066101666],"about_ca_topic_score_codex":0.03414442,"about_ca_topic_score_gemma":0.030818665,"teacher_disagreement_score":0.03414442,"about_ca_system_score_codex":0.00039563345,"about_ca_system_score_gemma":0.0006265046,"threshold_uncertainty_score":0.06789136},"labels":[],"label_agreement":null},{"id":"W2963913484","doi":"10.1007/s00382-019-04896-w","title":"Assessing the skill of the Pacific Decadal Oscillation (PDO) in a decadal prediction experiment","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Empirical orthogonal functions; Pacific decadal oscillation; Climatology; Forecast skill; Weighting; Forcing (mathematics); Mode (computer interface); Oscillation (cell signaling); Contrast (vision); Environmental science; Econometrics; Geology; Mathematics; El Niño Southern Oscillation; Computer science; Physics; Artificial intelligence","score_opus":0.01135323492842167,"score_gpt":0.2599537443673631,"score_spread":0.24860050943894146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2963913484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98411167,0.000046867266,0.014468324,0.00012437344,0.000023735503,0.000043130713,0.00031671132,0.000084319174,0.0007810183],"genre_scores_gemma":[0.9947813,0.000022650936,0.0045471904,0.000029911047,0.00000955699,0.000044258308,0.00040918466,0.000010952443,0.00014487098],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99911433,0.00040826705,0.000070899565,0.00019980766,0.0001518867,0.000054890705],"domain_scores_gemma":[0.9803822,0.014994325,0.0012463221,0.0014027797,0.0013044388,0.0006699906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007852715,0.00039907423,0.0004075527,0.00047300477,0.0002708216,0.00073581684,0.00050114514,0.00092416105,0.00059319736],"category_scores_gemma":[0.020817235,0.00020285597,0.00046194106,0.00040085823,0.00044737343,0.0011790347,0.0008873969,0.0009422303,0.000101037396],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012925923,0.0006086185,0.2895391,0.00011416321,0.0006515046,0.00025974444,0.0003945533,0.6509094,0.015340858,0.00289759,0.00077858666,0.037213273],"study_design_scores_gemma":[0.00007720992,0.00066689216,0.13449086,0.000014520076,0.000051968847,0.000045872497,0.000098698765,0.8568739,0.0049800915,0.0022572302,0.00039735946,0.00004533815],"about_ca_topic_score_codex":0.0045669135,"about_ca_topic_score_gemma":0.0032218946,"teacher_disagreement_score":0.007852715,"about_ca_system_score_codex":0.0004971175,"about_ca_system_score_gemma":0.0005683524,"threshold_uncertainty_score":0.041529655},"labels":[],"label_agreement":null},{"id":"W2964262683","doi":"10.1007/s00382-019-04905-y","title":"Surface pressure and elevation correction from observation and multiple reanalyses over the Tibetan Plateau","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Elevation (ballistics); Climatology; Plateau (mathematics); Surface pressure; Geology; Environmental science; Surface (topology); Mathematics; Oceanography; Geometry","score_opus":0.014241665807332866,"score_gpt":0.22733573495727893,"score_spread":0.21309406914994608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964262683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99534947,0.000210664,0.0012814791,0.000182438,0.000053881882,0.0000070175474,0.00165399,0.0002207824,0.0010402272],"genre_scores_gemma":[0.9966505,0.000094298164,0.0010754933,0.000014471508,0.000032746022,0.000008805743,0.0015867982,0.00002480071,0.00051204057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984574,0.000032983105,0.000016186163,0.000048231752,0.000026534812,0.000030170571],"domain_scores_gemma":[0.99966645,0.00007123019,0.00005258976,0.00004455508,0.00013285843,0.00003230859],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071649015,0.00041177173,0.00030033532,0.00061979436,0.00043508917,0.0007802032,0.0006304615,0.00047537734,0.0009838828],"category_scores_gemma":[0.0011667751,0.00026742494,0.00041559536,0.0016582719,0.00018445907,0.00047109218,0.0003411345,0.00036714846,0.00020623146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00067922665,0.0003426576,0.5454371,0.00026237813,0.0006866114,0.0006880496,0.0005254276,0.32561633,0.0142372865,0.0014356935,0.004780615,0.10530867],"study_design_scores_gemma":[0.00014590133,0.000049724953,0.6902739,0.00003935853,0.00013531011,0.00006648194,0.00017591057,0.3048617,0.0015106994,0.0004991474,0.002196747,0.000045162833],"about_ca_topic_score_codex":0.16904537,"about_ca_topic_score_gemma":0.16438672,"teacher_disagreement_score":0.16904537,"about_ca_system_score_codex":0.0010185655,"about_ca_system_score_gemma":0.001797284,"threshold_uncertainty_score":0.33612287},"labels":[],"label_agreement":null},{"id":"W2969270430","doi":"10.1007/s00382-019-04932-9","title":"Using 4-km WRF CONUS simulations to assess impacts of the surface coupling strength on regional climate simulation","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China; Global Institute for Water Security, University of Saskatchewan","keywords":"Weather Research and Forecasting Model; Environmental science; FluxNet; Sensible heat; Precipitation; Atmospheric sciences; Climatology; Atmosphere (unit); Flux (metallurgy); Climate model; Latent heat; Meteorology; Climate change; Eddy covariance; Geology; Ecosystem; Geography; Materials science","score_opus":0.06270259446108646,"score_gpt":0.32528086981441073,"score_spread":0.2625782753533243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969270430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398106,0.000056172776,0.0012108138,0.00015956159,0.000045472098,0.000022478827,0.0010308886,0.00024131873,0.0032521083],"genre_scores_gemma":[0.9973335,0.000023374678,0.0014330625,0.000043394193,0.000011611354,0.000023226949,0.0007497308,0.000056499306,0.00032549773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99957186,0.00015147994,0.000022298056,0.000100655954,0.000049627564,0.000104188905],"domain_scores_gemma":[0.99831617,0.0007469305,0.00014985369,0.00023731234,0.00032511976,0.00022463138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011203213,0.0010178103,0.0010232413,0.0006306674,0.0011345316,0.0010688152,0.0014935511,0.0016535014,0.0025070978],"category_scores_gemma":[0.0032567438,0.00060672767,0.0010578573,0.0011814868,0.0007218482,0.0013520515,0.0005966113,0.001418102,0.00027935606],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020915046,0.00019181141,0.010178628,0.000023213399,0.00010554021,0.00007585013,0.000033573553,0.9850368,0.0011895852,0.00039771813,0.00058998296,0.0019681617],"study_design_scores_gemma":[0.00008808552,0.00005108044,0.0062856567,0.0000043386954,0.000028959785,0.00000829385,0.00004490122,0.99229443,0.0007446786,0.00015386993,0.0002764908,0.000019229898],"about_ca_topic_score_codex":0.14097267,"about_ca_topic_score_gemma":0.09709414,"teacher_disagreement_score":0.14097267,"about_ca_system_score_codex":0.0019969675,"about_ca_system_score_gemma":0.0018173221,"threshold_uncertainty_score":0.28030425},"labels":[],"label_agreement":null},{"id":"W2973058607","doi":"10.1007/s00382-019-04979-8","title":"Incorporation of satellite-derived thin-ice data into a global OGCM simulation","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"JST-Mirai Program; Japan Agency for Marine-Earth Science and Technology; Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Sea ice; Geology; Arctic; Sea ice thickness; Cryosphere; Arctic ice pack; Climatology; Algorithm; Oceanography; Computer science","score_opus":0.01743452443404636,"score_gpt":0.2552477559521365,"score_spread":0.23781323151809014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2973058607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92397547,0.00019941943,0.052175093,0.00067977305,0.00029516808,0.00014565895,0.0082718795,0.0017314907,0.012526095],"genre_scores_gemma":[0.9726857,0.00011001429,0.02208647,0.00016208432,0.000037785474,0.0001706877,0.0035238063,0.00022471655,0.0009987046],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984026,0.00006093241,0.000011124611,0.000034540004,0.00002394276,0.000029245228],"domain_scores_gemma":[0.9996136,0.00013239594,0.000032572938,0.000058145564,0.00009601534,0.00006736132],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068851124,0.001097125,0.00074932864,0.0005701662,0.0004890439,0.0010148508,0.0011617673,0.0011744692,0.002787957],"category_scores_gemma":[0.0014600403,0.00051542214,0.0010987567,0.00079770235,0.0003464788,0.00092463574,0.0006449909,0.0009352976,0.00045550364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045479803,0.00002844428,0.0031296841,0.000013969841,0.0000615863,0.000023345583,0.0000128592665,0.99387074,0.0006909802,0.0002782853,0.0002963145,0.0015482625],"study_design_scores_gemma":[0.00006974831,0.000020961243,0.0013441244,0.000005526274,0.000030206162,0.000005139758,0.000014852893,0.9972995,0.00040951825,0.0003196045,0.00046655323,0.000014356775],"about_ca_topic_score_codex":0.06313456,"about_ca_topic_score_gemma":0.0373265,"teacher_disagreement_score":0.06313456,"about_ca_system_score_codex":0.0010622856,"about_ca_system_score_gemma":0.0018806205,"threshold_uncertainty_score":0.12553412},"labels":[],"label_agreement":null},{"id":"W2974068988","doi":"10.1007/s00382-019-04967-y","title":"The relationship among probabilistic, deterministic and potential skills in predicting the ENSO for the past 161 years","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Predictability; Hindcast; Probabilistic logic; Forecast skill; Computer science; Probabilistic forecasting; Monotonic function; Econometrics; Machine learning; Statistics; Mathematics; Artificial intelligence","score_opus":0.012018327427321892,"score_gpt":0.22288087686665442,"score_spread":0.21086254943933253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2974068988","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934999,0.000092473645,0.004809401,0.00017480733,0.000011993582,0.0000048368147,0.00013728443,0.000025804673,0.0012435706],"genre_scores_gemma":[0.99951005,0.00002205771,0.0003053959,0.000005394093,0.000005485516,0.000002025698,0.00008062682,0.000003278201,0.00006564167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99969566,0.000088923225,0.000026482396,0.000085283464,0.000056573903,0.000047046375],"domain_scores_gemma":[0.99501556,0.0033758425,0.00070351386,0.00030277498,0.00041233236,0.00019000047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021273599,0.00029050242,0.00015898344,0.00060095266,0.00027887837,0.0007343006,0.00028210614,0.00039413894,0.0007404654],"category_scores_gemma":[0.01295011,0.00014967547,0.00033259986,0.0003917677,0.00047805204,0.0013911659,0.0007681136,0.0005756519,0.00012229022],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000101367645,0.00005696305,0.7190992,0.00003516581,0.00015344481,0.00010791971,0.00015816219,0.25886264,0.00116919,0.003518472,0.00035795043,0.016379444],"study_design_scores_gemma":[0.000008692367,0.00009288071,0.39278978,0.00002839098,0.0000456116,0.00006185732,0.000288897,0.5990886,0.0009973673,0.005959436,0.00060106424,0.00003735346],"about_ca_topic_score_codex":0.005834205,"about_ca_topic_score_gemma":0.006805395,"teacher_disagreement_score":0.005834205,"about_ca_system_score_codex":0.0003404842,"about_ca_system_score_gemma":0.0005979768,"threshold_uncertainty_score":0.011600494},"labels":[],"label_agreement":null},{"id":"W2975876169","doi":"10.1007/s00382-019-04988-7","title":"Recent weakening of the linkage between the spring Arctic Oscillation and the following winter El Niño-Southern Oscillation","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Oceanic and Atmospheric Administration; National Natural Science Foundation of China","keywords":"Climatology; Anticyclone; Extratropical cyclone; Arctic oscillation; Pacific decadal oscillation; Sea surface temperature; Geology; Spring (device); Subtropical ridge; Atmospheric circulation; Precipitation; Middle latitudes; Walker circulation; Subtropics; Oceanography; Geography; Northern Hemisphere","score_opus":0.010406897659604085,"score_gpt":0.22464715941199281,"score_spread":0.21424026175238872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975876169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9094306,0.0127440505,0.014832247,0.030356003,0.0027202917,0.000032640728,0.00404577,0.0003050212,0.025533415],"genre_scores_gemma":[0.9829118,0.0059309504,0.002758986,0.0019057065,0.0008466265,0.000012566554,0.0021275866,0.00004833806,0.003457494],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997911,0.000027626507,0.00002198156,0.00009674165,0.00003562869,0.000027026977],"domain_scores_gemma":[0.9975061,0.00055549777,0.00085376267,0.00019706196,0.00066346274,0.00022417656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018460662,0.00030917936,0.00033275114,0.00055173266,0.00058085244,0.0015551895,0.0006147414,0.00081707473,0.0063683153],"category_scores_gemma":[0.0047949874,0.00023341231,0.00041666167,0.001605002,0.000671818,0.00080274465,0.0012739974,0.0012450282,0.0005097667],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012562207,0.00016498346,0.7305503,0.001369794,0.0013662147,0.0007585483,0.0010556519,0.019124884,0.022817517,0.0247278,0.011919384,0.18488869],"study_design_scores_gemma":[0.000034229342,0.000078542966,0.9212164,0.00014166767,0.00029482602,0.00028098066,0.0005300844,0.010069615,0.0014737267,0.008846173,0.056995563,0.000038240105],"about_ca_topic_score_codex":0.013862658,"about_ca_topic_score_gemma":0.02139801,"teacher_disagreement_score":0.013862658,"about_ca_system_score_codex":0.0009158637,"about_ca_system_score_gemma":0.001077421,"threshold_uncertainty_score":0.02756399},"labels":[],"label_agreement":null},{"id":"W2985796519","doi":"10.1007/s00382-019-05048-w","title":"Extratropical cyclones over East Asia: climatology, seasonal cycle, and long-term trend","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Extratropical cyclone; Climatology; East Asia; Plateau (mathematics); China; Environmental science; Sea surface temperature; Cyclone (programming language); Geology; Geography","score_opus":0.008436832960568392,"score_gpt":0.23748936730476486,"score_spread":0.22905253434419648,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2985796519","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571794,0.0007161624,0.0005353036,0.00020544908,0.000017558541,0.0000050085473,0.0013792193,0.000033081582,0.0013903681],"genre_scores_gemma":[0.9979747,0.0005135614,0.00019882974,0.000013209009,0.000017350963,0.0000031468298,0.00075036334,0.000006029891,0.00052270404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99997103,0.0000049643054,0.0000033932715,0.000008778741,0.0000044901526,0.000007392385],"domain_scores_gemma":[0.99985933,0.000022557768,0.00004348866,0.000013113347,0.000034863333,0.000026702033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018630213,0.0002138227,0.00011884643,0.00040197177,0.00013647717,0.00046452798,0.00016580132,0.00014941252,0.0010977053],"category_scores_gemma":[0.00038222177,0.000107266176,0.00014281482,0.0009558872,0.0001340542,0.00049241085,0.0002743767,0.0002129651,0.00011465217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012794782,0.00005320465,0.9294796,0.00009620117,0.00014559714,0.00019993926,0.00031808103,0.040636506,0.0023651903,0.0017466667,0.0023831122,0.022447888],"study_design_scores_gemma":[0.000010946112,0.00001964913,0.9637667,0.000017872675,0.000040278774,0.000071469025,0.000195747,0.032965463,0.00017523368,0.00057542155,0.0021556527,0.0000055201995],"about_ca_topic_score_codex":0.02815129,"about_ca_topic_score_gemma":0.04264186,"teacher_disagreement_score":0.02815129,"about_ca_system_score_codex":0.00039175636,"about_ca_system_score_gemma":0.00038414335,"threshold_uncertainty_score":0.0559749},"labels":[],"label_agreement":null},{"id":"W2988807187","doi":"10.1007/s00382-019-05027-1","title":"Influence of winter Arctic sea ice concentration change on the El Niño–Southern Oscillation in the following winter","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China","keywords":"Climatology; Subtropics; Sea surface temperature; Subtropical ridge; Environmental science; Geology; Arctic oscillation; Arctic; Oceanography; Sea ice; Atmospheric sciences; Geography; Northern Hemisphere; Precipitation; Meteorology","score_opus":0.01743881873120263,"score_gpt":0.24468238260246303,"score_spread":0.2272435638712604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988807187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802667,0.00007833121,0.00009347041,0.00027512648,0.00005313212,0.0000023397938,0.00038653758,0.000011082417,0.0010731596],"genre_scores_gemma":[0.9988494,0.00006895514,0.00004027864,0.0000421033,0.000021167094,0.0000022709964,0.00043161295,0.000007525496,0.0005367152],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998826,0.00002541733,0.000008840941,0.000026131791,0.000011260247,0.00004587637],"domain_scores_gemma":[0.9995047,0.00015492355,0.00007804404,0.000018510356,0.000082853454,0.00016097382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006965907,0.00029070355,0.000274412,0.0002687438,0.0005746186,0.0013787244,0.00028533154,0.0007175424,0.0026735666],"category_scores_gemma":[0.0014615664,0.00017980806,0.00048460095,0.00029370224,0.00032974945,0.00044915162,0.0005104007,0.0005479358,0.00029497233],"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":[0.0027134898,0.0005207551,0.92626697,0.00007103099,0.0005320323,0.0004953426,0.00040387776,0.046446566,0.0087441085,0.0014297063,0.0038442279,0.008531925],"study_design_scores_gemma":[0.000059173293,0.00010109055,0.95571166,0.000014495454,0.00010292927,0.000048234157,0.00044469704,0.04065078,0.00084137305,0.00034109748,0.0016667905,0.000017747536],"about_ca_topic_score_codex":0.07998187,"about_ca_topic_score_gemma":0.104221225,"teacher_disagreement_score":0.07998187,"about_ca_system_score_codex":0.0013055681,"about_ca_system_score_gemma":0.00091933034,"threshold_uncertainty_score":0.15903264},"labels":[],"label_agreement":null},{"id":"W2990856752","doi":"10.1007/s00382-019-05034-2","title":"A study of the effects of westerly wind bursts on ENSO based on CESM","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Climatology; El Niño Southern Oscillation; Advection; Environmental science; Multivariate ENSO index; Atmospheric sciences; Geology; Southern oscillation; Physics","score_opus":0.006091943611391332,"score_gpt":0.2188488708186135,"score_spread":0.21275692720722217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2990856752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99625885,0.00009567458,0.0022454043,0.00008806696,0.000026657284,0.000010920843,0.00021042778,0.000063082356,0.0010010325],"genre_scores_gemma":[0.9993845,0.000043854077,0.00028374398,0.000009432146,0.000009075037,0.000004867065,0.00016068638,0.000012021783,0.00009185712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973255,0.00011749825,0.000021034655,0.000039422837,0.000043332875,0.000046107463],"domain_scores_gemma":[0.99808383,0.0011138315,0.00023604787,0.00016239415,0.00027658156,0.00012731276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085481454,0.00048659454,0.0003021248,0.00044463627,0.0002902408,0.00048762307,0.00038663982,0.0004482705,0.00089389953],"category_scores_gemma":[0.0032678607,0.00020224684,0.00046163888,0.00047157114,0.00023226989,0.00067770557,0.00038768395,0.00040440322,0.00008373085],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006000495,0.00016064857,0.12514336,0.00010291515,0.00021112648,0.00046794044,0.00011009977,0.8470158,0.012572745,0.0014668737,0.0011517851,0.010996644],"study_design_scores_gemma":[0.000033815795,0.00005003254,0.040307503,0.000007442832,0.00003670096,0.000019990744,0.000046505145,0.95720613,0.001862304,0.00015588307,0.0002609082,0.000012751394],"about_ca_topic_score_codex":0.009688824,"about_ca_topic_score_gemma":0.004794985,"teacher_disagreement_score":0.009688824,"about_ca_system_score_codex":0.00043918708,"about_ca_system_score_gemma":0.0002829649,"threshold_uncertainty_score":0.019264877},"labels":[],"label_agreement":null},{"id":"W2995239962","doi":"10.1007/s00382-016-3155-y","title":"Erratum to: Intercomparison of the Arctic sea ice cover in global ocean–sea ice reanalyses from the ORA-IP project","year":2016,"lang":"en","type":"erratum","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; GDG Environnement","funders":"","keywords":"Sea ice; Climatology; Cryosphere; Arctic ice pack; Environmental science; The arctic; Oceanography; Arctic; Geology","score_opus":0.016210909876174517,"score_gpt":0.2588703052952372,"score_spread":0.24265939541906267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995239962","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00089143444,0.0010404575,0.00095351314,0.029105434,0.92751306,0.0000873201,0.023048168,0.0007900199,0.016570555],"genre_scores_gemma":[0.020607663,0.007649552,0.010925511,0.03573178,0.097119875,0.0005465929,0.084325954,0.0049556573,0.7381374],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99731964,0.00025196676,0.000805532,0.00030466792,0.0011642218,0.00015408664],"domain_scores_gemma":[0.9753948,0.0025882137,0.0012593122,0.0014620088,0.018604485,0.0006911233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024714377,0.0021164918,0.0015076222,0.0043458636,0.002991954,0.003249129,0.0018643464,0.0028132992,0.081549644],"category_scores_gemma":[0.03269911,0.0010099665,0.0013528172,0.0043667955,0.001019992,0.0025128543,0.0017681539,0.0039541656,0.066974536],"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":[0.00003501931,0.000012493905,0.00020088554,0.000084564475,0.0000064485507,0.00007919249,0.000017563932,0.00008096356,0.000029503957,0.000376571,0.9944008,0.0046759704],"study_design_scores_gemma":[0.00006545555,0.0000359536,0.0036717555,0.00052066904,0.000036589157,0.0001746189,0.00019009443,0.00032118522,0.0004731123,0.0013430582,0.9931162,0.000051396935],"about_ca_topic_score_codex":0.048255034,"about_ca_topic_score_gemma":0.051949937,"teacher_disagreement_score":0.081549644,"about_ca_system_score_codex":0.0030499524,"about_ca_system_score_gemma":0.0076588662,"threshold_uncertainty_score":0.27281076},"labels":[],"label_agreement":null},{"id":"W2997201642","doi":"10.1007/s00382-019-05075-7","title":"Seasonal forecasting of tropical cyclones in the North Indian Ocean region: the role of El Niño-Southern Oscillation","year":2019,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Nanjing University of Information Science and Technology; University of Tasmania","keywords":"Hindcast; Climatology; Predictability; Tropical cyclone; Typhoon; Forecast skill; Environmental science; El Niño Southern Oscillation; Landfall; La Niña; Multivariate ENSO index; Geology; Mathematics; Statistics","score_opus":0.014453395093476906,"score_gpt":0.21653095698628858,"score_spread":0.20207756189281167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2997201642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9906363,0.0009769538,0.0017077321,0.0008627624,0.00015777281,0.000013184607,0.0017216759,0.00010515811,0.0038184486],"genre_scores_gemma":[0.99751186,0.00047682066,0.0005905531,0.000019661866,0.000038380484,0.0000024018523,0.0007938781,0.0000054829293,0.0005610294],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989045,0.000026324296,0.000012617124,0.000026715446,0.000022603908,0.000021222928],"domain_scores_gemma":[0.99955446,0.00011521587,0.00009713406,0.000026734322,0.00013745196,0.000068970396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005605614,0.00027866257,0.00017395301,0.00052221934,0.00016945889,0.0007858756,0.00027507028,0.00024828123,0.0009367959],"category_scores_gemma":[0.0013410221,0.000112221576,0.00016925205,0.00058675307,0.000118235366,0.0004996803,0.00025838873,0.00029929116,0.00014056494],"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":[0.0004382297,0.00016672647,0.8018919,0.00013369432,0.00019505316,0.0001795725,0.00012491476,0.1218682,0.0035539356,0.0010983393,0.0064946264,0.06385476],"study_design_scores_gemma":[0.000045208082,0.000053908283,0.47700334,0.000049175134,0.00009543244,0.000036792277,0.0006078504,0.5170485,0.0009880995,0.00061590824,0.003435498,0.000020266529],"about_ca_topic_score_codex":0.049020804,"about_ca_topic_score_gemma":0.07456384,"teacher_disagreement_score":0.049020804,"about_ca_system_score_codex":0.0004071223,"about_ca_system_score_gemma":0.0008443322,"threshold_uncertainty_score":0.09747094},"labels":[],"label_agreement":null},{"id":"W2998014547","doi":"10.1007/s00382-019-05102-7","title":"Near-term impacts of climate variability and change on hydrological systems in West and Central Africa","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Coventry University","keywords":"Climate change; Teleconnection; Climatology; Environmental science; Evapotranspiration; Precipitation; Streamflow; Climate model; Water resources; Representative Concentration Pathways; Geography; Drainage basin; Meteorology; Geology; Ecology","score_opus":0.028495088051947746,"score_gpt":0.2363996780833997,"score_spread":0.20790459003145195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998014547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984542,0.00025799716,0.00009119944,0.00023136554,0.0000067981164,0.000003711175,0.0001335544,0.0000040516557,0.00081711326],"genre_scores_gemma":[0.99954623,0.00022491587,0.000052456468,0.000009543152,0.000004039565,0.0000026519692,0.000038603393,0.000001106845,0.00012046551],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997806,0.000072608535,0.000010605842,0.000023861643,0.000017600936,0.000094694595],"domain_scores_gemma":[0.99966586,0.000120839875,0.000081432525,0.000018820547,0.00004802252,0.00006505184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043709564,0.00019782738,0.00023307784,0.0005663605,0.0006509077,0.00094668596,0.00033645282,0.00045947012,0.0012489097],"category_scores_gemma":[0.0014465372,0.00016299901,0.00028334634,0.0012402743,0.0005931089,0.0012926125,0.00073089363,0.00036491748,0.000057679365],"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":[0.00078305707,0.00031540095,0.75053537,0.00043225466,0.00044553127,0.0056017963,0.0054043643,0.1591009,0.010416066,0.016874181,0.002001959,0.048089083],"study_design_scores_gemma":[0.00003910051,0.000106809195,0.9401865,0.00008854827,0.00010199594,0.00048568434,0.0047921482,0.04657498,0.0007821183,0.0031683212,0.0036354316,0.000038466787],"about_ca_topic_score_codex":0.09670746,"about_ca_topic_score_gemma":0.15465932,"teacher_disagreement_score":0.09670746,"about_ca_system_score_codex":0.0020973284,"about_ca_system_score_gemma":0.0009320576,"threshold_uncertainty_score":0.19228911},"labels":[],"label_agreement":null},{"id":"W2998780711","doi":"10.1007/s00382-020-05126-4","title":"Short-duration precipitation extremes over Canada in a warmer climate","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Precipitation; Environmental science; Climatology; Dew point; Climate change; Flash flood; Climate model; Convective available potential energy; Atmospheric sciences; Global warming; Flood myth; Meteorology; Geology; Geography","score_opus":0.017439176881970705,"score_gpt":0.23059151032743888,"score_spread":0.2131523334454682,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998780711","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980584,0.0000970416,0.000113750844,0.0002589788,0.000009871518,0.0000033311749,0.0007043252,0.000018042696,0.00073619676],"genre_scores_gemma":[0.9988881,0.000050998206,0.00005734741,0.000033902834,0.0000056490503,0.0000021890412,0.00058745086,0.0000052955074,0.00036909315],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998223,0.000015528174,0.000007708182,0.00003820967,0.000032106404,0.00008414698],"domain_scores_gemma":[0.99948645,0.0000843611,0.00007047666,0.000020269961,0.00015068824,0.000187641],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041546588,0.0002417972,0.000328557,0.0005269219,0.0017296408,0.0017759469,0.00075809326,0.00080495793,0.0015315622],"category_scores_gemma":[0.0011981684,0.0001990379,0.00043627992,0.0012309755,0.00090722594,0.0005426578,0.0006461063,0.00079668814,0.00011428509],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015934813,0.0003336616,0.8319551,0.00010634848,0.00049019686,0.0009148724,0.001989896,0.13058771,0.00501694,0.0043080486,0.009394006,0.0133097675],"study_design_scores_gemma":[0.00007663368,0.000030662286,0.9384639,0.000019537796,0.000068660054,0.000059728038,0.0014502894,0.056123286,0.00031500123,0.00070966285,0.0026332056,0.00004943989],"about_ca_topic_score_codex":0.9740814,"about_ca_topic_score_gemma":0.9807997,"teacher_disagreement_score":0.025918603,"about_ca_system_score_codex":0.014215173,"about_ca_system_score_gemma":0.007746834,"threshold_uncertainty_score":0.103138745},"labels":[],"label_agreement":null},{"id":"W3003092221","doi":"10.1007/s00382-020-05139-z","title":"Enhancement of the summer extreme precipitation over North China by interactions between moisture convergence and topographic settings","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"State Key Laboratory of Drug Research; European Centre for Medium-Range Weather Forecasts; Göteborgs Universitet; Graduate Research and Innovation Projects of Jiangsu Province; China Meteorological Administration; Chinese Academy of Sciences; Swedish Foundation for International Cooperation in Research and Higher Education","keywords":"Precipitation; Climatology; Moisture; Westerlies; Environmental science; Atmospheric sciences; Humidity; Latitude; Geology; Meteorology; Geography","score_opus":0.016698023276130784,"score_gpt":0.23493996636079667,"score_spread":0.21824194308466588,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003092221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99943334,0.000024859784,0.00010023368,0.00002617037,0.0000028416484,0.0000019928998,0.000042715455,0.0000086481805,0.00035909883],"genre_scores_gemma":[0.99986553,0.000013692741,0.000030188667,0.0000028939319,0.0000018041242,7.6042386e-7,0.0000263059,0.000001183651,0.0000577107],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999038,0.000022916665,0.000005919977,0.000022892942,0.00001430706,0.000030075622],"domain_scores_gemma":[0.9998667,0.00002371288,0.000039756393,0.000012192768,0.000025596104,0.000031946136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021735058,0.0002879183,0.0002043917,0.0003367442,0.0002791641,0.00044786432,0.00018344336,0.00018600251,0.000942691],"category_scores_gemma":[0.00038033223,0.00018138107,0.00042083106,0.0003044571,0.00032383698,0.00031144937,0.00043712955,0.00015772175,0.0000533077],"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":[0.00015603317,0.00007039375,0.9346769,0.00004059336,0.00019863204,0.00078249926,0.00021870874,0.035103664,0.021819016,0.0004084083,0.00041764884,0.006107615],"study_design_scores_gemma":[0.000015211261,0.000038820275,0.96345663,0.0000035106616,0.00003889532,0.000053766627,0.00018326081,0.035215423,0.0006385825,0.000073827316,0.00027014414,0.00001185123],"about_ca_topic_score_codex":0.048151128,"about_ca_topic_score_gemma":0.05267252,"teacher_disagreement_score":0.048151128,"about_ca_system_score_codex":0.0006406811,"about_ca_system_score_gemma":0.0005271625,"threshold_uncertainty_score":0.09574175},"labels":[],"label_agreement":null},{"id":"W3009979743","doi":"10.1007/s00382-020-05191-9","title":"Characteristics of stratospheric polar vortex fluctuations associated with sea ice variability in the Arctic winter","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Polar vortex; Climatology; Sea ice; Arctic oscillation; Arctic ice pack; Geology; Arctic sea ice decline; Arctic; Arctic geoengineering; Arctic dipole anomaly; Oceanography; Cryosphere; Stratosphere; Environmental science; Atmospheric sciences; Antarctic sea ice; Northern Hemisphere","score_opus":0.009286904811371864,"score_gpt":0.19968939337998823,"score_spread":0.19040248856861636,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009979743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992532,0.0000585916,0.00011714548,0.000006695855,0.0000042866386,0.0000022774545,0.00016046727,0.000005214478,0.00039197382],"genre_scores_gemma":[0.99943084,0.000025850515,0.000055947396,0.0000035383757,0.000005660302,0.0000027145404,0.00034426848,0.0000025541149,0.00012852711],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99994576,0.000008647038,0.000004390178,0.000009265988,0.000015075095,0.000016857226],"domain_scores_gemma":[0.9997265,0.00007601144,0.00007689006,0.000010831531,0.00005302776,0.000056749806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020540037,0.00016842005,0.00015752726,0.00083746103,0.00019352754,0.00041464448,0.000057396246,0.00013140905,0.00057826535],"category_scores_gemma":[0.00053346425,0.00007820829,0.00011656723,0.00054283056,0.00012661214,0.00011993982,0.00012480703,0.00009865109,0.00013539201],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004473733,0.000042981374,0.97115326,0.000017872148,0.00007202104,0.00025547633,0.0003289364,0.0009835105,0.016308384,0.00013315231,0.00030979043,0.009947296],"study_design_scores_gemma":[0.0000021583414,0.000043896976,0.998257,0.0000033243823,0.0000065205727,0.00009279786,0.00009962368,0.0008647485,0.00038603987,0.000029602923,0.00021186573,0.000002521016],"about_ca_topic_score_codex":0.0037510167,"about_ca_topic_score_gemma":0.00515826,"teacher_disagreement_score":0.0037510167,"about_ca_system_score_codex":0.00013171577,"about_ca_system_score_gemma":0.000104077175,"threshold_uncertainty_score":0.007458329},"labels":[],"label_agreement":null},{"id":"W3011701868","doi":"10.1007/s00382-020-05177-7","title":"Climate change impact to Mackenzie river Basin projected by a regional climate model","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of British Columbia; University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Transport Canada","keywords":"Downscaling; Precipitation; Climatology; Weather Research and Forecasting Model; Environmental science; Climate change; Climate model; Drainage basin; Latitude; Representative Concentration Pathways; Meteorology; Geography; Geology","score_opus":0.042712917689209644,"score_gpt":0.27580904138995704,"score_spread":0.2330961237007474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011701868","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373937,0.00007165844,0.00070442574,0.0002524644,0.000019624229,0.000008111146,0.0014521696,0.00006226304,0.003689862],"genre_scores_gemma":[0.9983,0.00007040488,0.00037838882,0.000021536773,0.0000049500154,0.000010882563,0.00054215343,0.000013407283,0.00065820466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987197,0.00004592281,0.0000071858585,0.00003659994,0.000013695285,0.000024611623],"domain_scores_gemma":[0.9997558,0.00008630218,0.00003023041,0.000028422739,0.00006585968,0.000033279215],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038016262,0.00037382983,0.00034259135,0.00035020147,0.0004554841,0.0006157732,0.00046677244,0.00045317513,0.0017206111],"category_scores_gemma":[0.0010216754,0.0002777586,0.000777499,0.0005208158,0.00031138377,0.0005562333,0.00033586318,0.00046463314,0.00015624583],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017407426,0.00003830788,0.025953017,0.000030132123,0.0001241411,0.00011679239,0.00005073503,0.96713936,0.0010867737,0.0016726954,0.0012565356,0.0023573404],"study_design_scores_gemma":[0.00011058434,0.000114096416,0.051043063,0.000017264481,0.00020204188,0.000043492364,0.00018299255,0.9437212,0.0011237545,0.0013527316,0.0020433674,0.000045534158],"about_ca_topic_score_codex":0.18780027,"about_ca_topic_score_gemma":0.16143152,"teacher_disagreement_score":0.8121997,"about_ca_system_score_codex":0.002099629,"about_ca_system_score_gemma":0.0012834314,"threshold_uncertainty_score":0.37341434},"labels":[],"label_agreement":null},{"id":"W3012196531","doi":"10.1007/s00382-020-05214-5","title":"Planetary waves in the mesosphere lower thermosphere during stratospheric sudden warming: observations using a network of meteor radars from high to equatorial latitudes","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Ionosphere and magnetosphere dynamics","field":"Physics and Astronomy","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Thermosphere; Mesosphere; Zonal and meridional; Latitude; Atmospheric sciences; Meteor (satellite); Atmosphere (unit); High latitude; Physics; Stratosphere; Geology; Ionosphere; Climatology; Geophysics; Meteorology; Astronomy","score_opus":0.01853111831592022,"score_gpt":0.22357491050592904,"score_spread":0.20504379219000882,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012196531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99929714,0.000044358127,0.00007596177,0.0000160892,0.0000036914673,0.0000026399648,0.00028040973,0.0000045608235,0.00027500317],"genre_scores_gemma":[0.99891376,0.000059567643,0.0002233202,0.0000089927,0.000009204691,0.0000049391665,0.00064808165,0.0000027162168,0.00012943234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999429,0.000007699921,0.0000040929826,0.000015677517,0.000012136698,0.000017535895],"domain_scores_gemma":[0.99980086,0.000033100543,0.000057720943,0.000019389969,0.0000373605,0.00005168026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020081241,0.00019785154,0.00020429994,0.00048418427,0.0003227028,0.00036931105,0.00018467623,0.00025674977,0.00038577188],"category_scores_gemma":[0.00035219392,0.00016739462,0.00016120759,0.0005957664,0.00015733436,0.00032310703,0.0003760735,0.00024255086,0.00008672364],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004636703,0.00016470464,0.9374768,0.000036435034,0.00019011232,0.00016285395,0.0007405834,0.0037974378,0.045277156,0.00018792415,0.0006431926,0.010859215],"study_design_scores_gemma":[0.000012257655,0.000027139611,0.9976821,0.000003130933,0.000020696427,0.00003241984,0.000082199054,0.0012833483,0.00051940104,0.000018650806,0.00031561335,0.0000029838413],"about_ca_topic_score_codex":0.015559665,"about_ca_topic_score_gemma":0.030065553,"teacher_disagreement_score":0.015559665,"about_ca_system_score_codex":0.00021053408,"about_ca_system_score_gemma":0.00024925722,"threshold_uncertainty_score":0.030938208},"labels":[],"label_agreement":null},{"id":"W3012441016","doi":"10.1007/s00382-020-05205-6","title":"Sensitivity studies and comprehensive evaluation of RegCM4.6.1 high-resolution climate simulations over the Tibetan Plateau","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Fundamental Research Funds for the Central Universities; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Environmental science; Shortwave radiation; Plateau (mathematics); Climatology; Climate model; Cloud cover; Downscaling; Precipitation; Diurnal cycle; Shortwave; Albedo (alchemy); Atmospheric sciences; Satellite; Meteorology; Radiation; Climate change; Geology; Radiative transfer; Cloud computing; Physics; Computer science","score_opus":0.06392787494746452,"score_gpt":0.3125102265668708,"score_spread":0.24858235161940626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012441016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99076813,0.00032540943,0.0016805164,0.00033017568,0.000049893682,0.0000629995,0.003788421,0.00030780747,0.0026867487],"genre_scores_gemma":[0.9942978,0.00010843686,0.0019296766,0.00009971578,0.000024151203,0.00006034022,0.003166535,0.000060843293,0.0002524748],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99901044,0.0005793413,0.000064435655,0.00014401258,0.00009734588,0.000104474544],"domain_scores_gemma":[0.9972154,0.0017196033,0.00017705392,0.00037052133,0.00039322546,0.00012418238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004062811,0.001302849,0.0008088786,0.0009539716,0.0009167818,0.0010821858,0.0017606532,0.0016406814,0.001149986],"category_scores_gemma":[0.00537009,0.00053409004,0.0012815117,0.0018416247,0.00067348767,0.0010094575,0.0009241068,0.0010917172,0.00016636573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025014044,0.00025898364,0.014189577,0.000101915095,0.000250755,0.00013831124,0.00005747806,0.9787033,0.0017005851,0.0006673275,0.00085758726,0.002824053],"study_design_scores_gemma":[0.00040564148,0.00025923943,0.022382315,0.000037915037,0.00017380097,0.000049536575,0.0001559226,0.9721147,0.0022530318,0.0009084569,0.0011825297,0.00007687991],"about_ca_topic_score_codex":0.08923976,"about_ca_topic_score_gemma":0.044350777,"teacher_disagreement_score":0.08923976,"about_ca_system_score_codex":0.0018139319,"about_ca_system_score_gemma":0.0011343121,"threshold_uncertainty_score":0.1774407},"labels":[],"label_agreement":null},{"id":"W3015293678","doi":"10.1007/s00382-020-05230-5","title":"Optimal error analysis of MJO prediction associated with uncertainties in sea surface temperature over Indian Ocean","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","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":"University of Northern British Columbia","funders":"National Program on Global Change and Air-Sea Interaction; National Natural Science Foundation of China","keywords":"Climatology; Predictability; Madden–Julian oscillation; Perturbation (astronomy); Advection; Sea surface temperature; Zonal and meridional; Forecast skill; Data assimilation; Geology; Indian ocean; Northern Hemisphere; Environmental science; Meteorology; Physics; Mathematics; Oceanography; Statistics","score_opus":0.010213280878389738,"score_gpt":0.2211067806667616,"score_spread":0.21089349978837185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015293678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9704362,0.00018937587,0.028024893,0.0002532013,0.000045033677,0.000012411833,0.00011203607,0.000098297984,0.0008285466],"genre_scores_gemma":[0.9982255,0.000027002907,0.0015492757,0.00000969589,0.0000064666583,0.00000320909,0.00007443444,0.000010436593,0.00009404057],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99955577,0.00016211413,0.000032077707,0.00008824926,0.00009283144,0.00006897752],"domain_scores_gemma":[0.99750453,0.0015548905,0.0002771736,0.00014869888,0.0004197184,0.000094893585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002014805,0.00056160265,0.00041869227,0.0006245438,0.00034857602,0.00081188796,0.0004981107,0.00059899123,0.0004268446],"category_scores_gemma":[0.0065140966,0.00034216244,0.0006043075,0.0002918026,0.0005165041,0.00071377796,0.0006147326,0.0006887541,0.000049056107],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015890702,0.000038042617,0.025647823,0.000028374998,0.00007999214,0.00009563912,0.00002971452,0.9666266,0.0017284079,0.00097302534,0.00017795383,0.0044155046],"study_design_scores_gemma":[0.000003536814,0.000013187623,0.0036453474,0.0000035676655,0.0000068291133,0.000003889787,0.0000106359885,0.99563134,0.00048039266,0.00016873509,0.000026908345,0.0000055966366],"about_ca_topic_score_codex":0.02692943,"about_ca_topic_score_gemma":0.01021736,"teacher_disagreement_score":0.02692943,"about_ca_system_score_codex":0.00065658806,"about_ca_system_score_gemma":0.0010030761,"threshold_uncertainty_score":0.053545356},"labels":[],"label_agreement":null},{"id":"W3020849380","doi":"10.1007/s00382-020-05283-6","title":"Characteristic atmospheric states during mid-summer droughts over Central America and Mexico","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Climatology; Precipitation; Forcing (mathematics); Submarine pipeline; Orographic lift; Orography; Spatial distribution; Terrain; Environmental science; Geology; Geography; Meteorology; Oceanography; Cartography","score_opus":0.008666244692047414,"score_gpt":0.21192363065162664,"score_spread":0.20325738595957923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020849380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99907553,0.00003273276,0.00009733181,0.00003207169,0.0000022988693,0.000002622053,0.0003729171,0.000007109191,0.0003774279],"genre_scores_gemma":[0.999542,0.000021124015,0.00004436616,0.0000035238504,0.0000020631774,0.0000028853822,0.00030820223,0.000001929913,0.00007401503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999472,0.000008822259,0.000003880485,0.000015433921,0.000004951496,0.00001964863],"domain_scores_gemma":[0.99959904,0.00013276549,0.000118919226,0.000022071898,0.000047882575,0.000079343095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030082135,0.00009603215,0.00017638788,0.0005908481,0.0006260062,0.00057096564,0.0002306151,0.00034552306,0.0009692518],"category_scores_gemma":[0.00086422643,0.00015348686,0.00020959871,0.0007029662,0.00020719209,0.0004122511,0.00035645458,0.00028613026,0.000059908547],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047723475,0.00006658824,0.9746975,0.000028565431,0.00013736509,0.0002214975,0.00093810307,0.014591891,0.0023628392,0.0013298382,0.0010625403,0.0040859757],"study_design_scores_gemma":[0.000013174283,0.000018663033,0.98984176,0.0000042970396,0.000021963013,0.000034014643,0.00034262353,0.008906761,0.00017652717,0.00017509364,0.00045907247,0.000006095978],"about_ca_topic_score_codex":0.034313243,"about_ca_topic_score_gemma":0.074304275,"teacher_disagreement_score":0.034313243,"about_ca_system_score_codex":0.00090164,"about_ca_system_score_gemma":0.00034633893,"threshold_uncertainty_score":0.06822699},"labels":[],"label_agreement":null},{"id":"W3027860677","doi":"10.1007/s00382-020-05296-1","title":"The role of internal variability in climate change projections of North American surface air temperature and temperature extremes in CanESM2 large ensemble simulations","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China; China Association for Science and Technology","keywords":"Climatology; Surface air temperature; Ensemble average; Environmental science; Climate change; Magnitude (astronomy); Climate model; Air temperature; Mean radiant temperature; Geology; Oceanography","score_opus":0.01030154185300444,"score_gpt":0.2343372704067593,"score_spread":0.22403572855375486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027860677","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98760647,0.0001417825,0.0064111915,0.00042539454,0.0000615019,0.000029773977,0.0017860665,0.00035350546,0.0031843646],"genre_scores_gemma":[0.99429,0.000078680976,0.0030027058,0.000077962875,0.0000220282,0.000046559046,0.0020938488,0.00007517098,0.00031289685],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99933076,0.0002965375,0.000042312502,0.00013995395,0.00010352105,0.000086953936],"domain_scores_gemma":[0.99734676,0.0014056533,0.00018328866,0.0003444914,0.00051816297,0.0002016235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035298949,0.0010919132,0.0007331116,0.0006355252,0.0009273523,0.0014543863,0.0010497036,0.00087031804,0.0009453695],"category_scores_gemma":[0.006478852,0.00044322922,0.00092038553,0.0008323372,0.00050585804,0.0011276256,0.000858352,0.0010572613,0.00015343037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011238694,0.00006257483,0.03268005,0.000020276768,0.00016464133,0.00006289743,0.000036496545,0.9618762,0.00097008864,0.0005691353,0.00077324925,0.002671892],"study_design_scores_gemma":[0.00003797324,0.000021842789,0.0117492955,0.0000072648963,0.000035132573,0.000006776008,0.000029664547,0.98683536,0.0006337946,0.00030490034,0.00031364817,0.000024337245],"about_ca_topic_score_codex":0.107604794,"about_ca_topic_score_gemma":0.09314797,"teacher_disagreement_score":0.107604794,"about_ca_system_score_codex":0.0011723489,"about_ca_system_score_gemma":0.0017162814,"threshold_uncertainty_score":0.21395695},"labels":[],"label_agreement":null},{"id":"W3032630158","doi":"10.1007/s00382-020-05278-3","title":"The dependence of the northern extratropical climate response to external forcing on the phase of Atlantic Multidecadal Variability","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Agence Nationale de la Recherche","keywords":"Climatology; Extratropical cyclone; Forcing (mathematics); Teleconnection; Atlantic multidecadal oscillation; Environmental science; Climate change; North Atlantic oscillation; Atmospheric sciences; Oceanography; Geology; El Niño Southern Oscillation","score_opus":0.021851713303385582,"score_gpt":0.2675783950766237,"score_spread":0.2457266817732381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3032630158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963887,0.00006582166,0.00047995843,0.0001978049,0.000014418326,0.0000043240543,0.0002983616,0.000016535281,0.0025341562],"genre_scores_gemma":[0.99943405,0.000041665862,0.000058036298,0.00002734508,0.000004854516,0.000002292816,0.00013181662,0.000009988292,0.0002898192],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999925,0.0000264659,0.000005421097,0.00001891463,0.000007702845,0.000016527303],"domain_scores_gemma":[0.99888176,0.0006615903,0.000117471165,0.00010079138,0.00011460209,0.00012375934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045672868,0.00016300913,0.00016059802,0.00020213405,0.00021413261,0.0005629138,0.0001666496,0.00035365735,0.0023514982],"category_scores_gemma":[0.0030551504,0.00021226935,0.000329846,0.00020954676,0.0002794594,0.0002990168,0.0004445867,0.00045295464,0.00024854293],"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":[0.001181635,0.00020902616,0.7473201,0.00016537096,0.0004835501,0.0003183456,0.0005030639,0.10898625,0.113641575,0.005285095,0.0020634905,0.019842407],"study_design_scores_gemma":[0.000024416737,0.00004269529,0.934778,0.000012070159,0.000045938305,0.00005781103,0.00008166623,0.062505715,0.0011582304,0.0006449278,0.0006345708,0.000013921966],"about_ca_topic_score_codex":0.009832688,"about_ca_topic_score_gemma":0.012601497,"teacher_disagreement_score":0.009832688,"about_ca_system_score_codex":0.00032850783,"about_ca_system_score_gemma":0.00027227402,"threshold_uncertainty_score":0.01955092},"labels":[],"label_agreement":null},{"id":"W3034695376","doi":"10.1007/s00382-020-05322-2","title":"Projected future changes in rainfall in Southeast Asia based on CORDEX–SEA multi-model simulations","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":203,"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":"Philippine Council for Industry, Energy, and Emerging Technology Research and Development; Japan Society for the Promotion of Science; Centre for Asia-Pacific Initiatives; Russian Science Foundation; National Research Council of Thailand; Universiti Kebangsaan Malaysia; Asia-Pacific Network for Global Change Research; Ministry of Higher Education, Malaysia; Thailand Research Fund; Department of Science and Technology, Ministry of Science and Technology, India; National Foundation for Science and Technology Development","keywords":"Downscaling; Climatology; Precipitation; Climate model; Representative Concentration Pathways; General Circulation Model; Environmental science; Climate change; Period (music); Southeast asia; Geography; Geology; Meteorology; Oceanography; History","score_opus":0.028664048303104962,"score_gpt":0.26129869824116564,"score_spread":0.23263464993806068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034695376","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955148,0.00007943621,0.0009300156,0.00009567892,0.000018158235,0.000015404024,0.0016660837,0.00008837115,0.0015920147],"genre_scores_gemma":[0.99552274,0.0001059609,0.0013068095,0.000029189283,0.0000068080612,0.000035126155,0.0024813788,0.000014803614,0.0004970988],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989605,0.00003135744,0.000008483436,0.000025988445,0.000017406997,0.000020737587],"domain_scores_gemma":[0.99974364,0.000051749896,0.000035104134,0.00002504811,0.000105660736,0.000038725073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047523488,0.0007570808,0.0003658283,0.0003994257,0.0002610442,0.00052484067,0.0005212059,0.00042640415,0.0013425088],"category_scores_gemma":[0.0007263044,0.00021773078,0.00065342215,0.0005661451,0.00016499983,0.0004056457,0.00031783618,0.0003186326,0.00014179091],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002118525,0.00006481849,0.071949854,0.000051267914,0.00011393784,0.00022998168,0.000044198827,0.9195625,0.0016189337,0.00032200853,0.00081041234,0.0050202142],"study_design_scores_gemma":[0.00010953696,0.00013592243,0.05371557,0.000019798023,0.00008806092,0.00004042804,0.000080128404,0.94210726,0.002085801,0.0002267389,0.0013607203,0.000030051106],"about_ca_topic_score_codex":0.056816917,"about_ca_topic_score_gemma":0.03977028,"teacher_disagreement_score":0.056816917,"about_ca_system_score_codex":0.0011287486,"about_ca_system_score_gemma":0.00091803656,"threshold_uncertainty_score":0.11297238},"labels":[],"label_agreement":null},{"id":"W3041848204","doi":"10.1007/s00382-020-05352-w","title":"North Pacific zonal wind response to sea ice loss in the Polar Amplification Model Intercomparison Project and its downstream implications","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Horizon 2020; U.S. Department of Energy","keywords":"Climatology; Jet stream; Arctic; Geology; Environmental science; Arctic oscillation; Polar; Arctic ice pack; Sea ice; Climate model; Atmospheric sciences; Coupled model intercomparison project; Sea surface temperature; Jet (fluid); Oceanography; Climate change; Northern Hemisphere","score_opus":0.03804320905599609,"score_gpt":0.2800086354856454,"score_spread":0.24196542642964933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041848204","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960198,0.000053410437,0.00021697383,0.0006581526,0.000022750452,0.000008976032,0.00082795095,0.00002259908,0.0021693453],"genre_scores_gemma":[0.99805593,0.00007371318,0.00022610073,0.00006122663,0.000010484937,0.000014457252,0.0006959709,0.000018314237,0.00084381347],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997973,0.00009515941,0.000008893884,0.00003439921,0.000026726895,0.000037582424],"domain_scores_gemma":[0.99957734,0.00014322158,0.000053301934,0.00004361269,0.00010156804,0.00008108019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010962015,0.00048507075,0.00025565032,0.0002497754,0.0005849821,0.0008272731,0.0005300476,0.0007231461,0.0017035974],"category_scores_gemma":[0.0022693153,0.0002440608,0.00029219405,0.0005301961,0.0003831566,0.0009096634,0.00072393904,0.00063718786,0.00020529797],"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":[0.0030818968,0.0010088896,0.6048399,0.00011210643,0.00031411386,0.00070935866,0.0008223244,0.33244804,0.010561288,0.0036482338,0.011492292,0.030961543],"study_design_scores_gemma":[0.00017685397,0.00016848717,0.7700837,0.000035409506,0.000112008995,0.000066498265,0.0012079651,0.21937804,0.0041515683,0.0019235039,0.0026479326,0.000048093178],"about_ca_topic_score_codex":0.067438364,"about_ca_topic_score_gemma":0.052685373,"teacher_disagreement_score":0.067438364,"about_ca_system_score_codex":0.0007331343,"about_ca_system_score_gemma":0.00083670195,"threshold_uncertainty_score":0.13409168},"labels":[],"label_agreement":null},{"id":"W3044885382","doi":"10.1007/s00382-020-05373-5","title":"On the characteristics and climate effects of HV-WCP events over the Kuroshio SST front during wintertime","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"Government of Jiangsu Province; Key Laboratory of Meteorological Disaster; Canon Foundation for Scientific Research","keywords":"Anomaly (physics); Climatology; Cyclone (programming language); Front (military); Sea surface temperature; Precipitation; Geology; Atmosphere (unit); Environmental science; Monsoon; Atmospheric sciences; Oceanography; Meteorology; Geography","score_opus":0.006994704688113974,"score_gpt":0.20193505516564578,"score_spread":0.1949403504775318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3044885382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932814,0.000042035477,0.00004567767,0.000013469959,0.0000047961926,0.0000023645641,0.00015385708,0.0000049259806,0.00040485678],"genre_scores_gemma":[0.99965227,0.000025461302,0.000019779796,0.0000041823205,0.000008619195,0.0000016629302,0.00020762754,0.0000015539969,0.000078847195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999255,0.000006897234,0.0000066486546,0.0000162323,0.000015896645,0.00002886791],"domain_scores_gemma":[0.9997962,0.00002463606,0.000059198508,0.000012224612,0.000042864634,0.00006485106],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011934874,0.00023479844,0.00018179281,0.0004914632,0.00023788307,0.0003520504,0.00011103293,0.00015811551,0.001222702],"category_scores_gemma":[0.00031337945,0.00008680273,0.00019783435,0.00038964584,0.00015426552,0.0002277528,0.00034074124,0.00017320062,0.000119660865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046311447,0.000094094234,0.95252264,0.0000635118,0.00011475181,0.00076966436,0.0003674943,0.0030026424,0.030188147,0.0001756638,0.0005833583,0.01165495],"study_design_scores_gemma":[0.000003470274,0.000015390944,0.9982836,0.0000026378607,0.00000941264,0.000032622243,0.000080685866,0.0010905808,0.00030746683,0.00001462155,0.00015747332,0.000002048495],"about_ca_topic_score_codex":0.006752501,"about_ca_topic_score_gemma":0.0094975345,"teacher_disagreement_score":0.006752501,"about_ca_system_score_codex":0.00019232174,"about_ca_system_score_gemma":0.00012394742,"threshold_uncertainty_score":0.0134263635},"labels":[],"label_agreement":null},{"id":"W3046690716","doi":"10.1007/s00382-020-05390-4","title":"Stratospheric radiative feedback limited by the tropospheric influence in global warming","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stratosphere; Environmental science; Troposphere; Global warming; Atmospheric sciences; Negative feedback; Radiative transfer; Climatology; Cloud feedback; Climate change; Climate model; Climate sensitivity; Physics; Geology","score_opus":0.007839804886140493,"score_gpt":0.20908537263237167,"score_spread":0.20124556774623117,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046690716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99379575,0.00046913995,0.00035042808,0.00040512337,0.00003388841,0.0000037648113,0.00025048622,0.000034869936,0.004656527],"genre_scores_gemma":[0.99944335,0.000108266824,0.00006126522,0.000030537827,0.000015968822,0.0000010858229,0.000041437128,0.000008986345,0.00028899964],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999263,0.000017636807,0.0000036120398,0.000013056484,0.0000086161745,0.000030764033],"domain_scores_gemma":[0.9997557,0.000112630114,0.000024912713,0.00002065238,0.000027876235,0.000058230355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027590658,0.00026595223,0.0002675162,0.0002681324,0.00039063013,0.00086150505,0.00028322102,0.00045137558,0.003614761],"category_scores_gemma":[0.0010328138,0.0002983533,0.00026543924,0.00023710026,0.00033932136,0.00062978355,0.00053453847,0.00033717632,0.0001948815],"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":[0.0033917993,0.0005516123,0.3773985,0.00046072318,0.0012842744,0.0016958469,0.0016284331,0.12961788,0.38428774,0.036832206,0.005670236,0.05718077],"study_design_scores_gemma":[0.00015216622,0.00010816833,0.9468341,0.000027138138,0.0002495127,0.00013236945,0.00047767404,0.03609839,0.005174305,0.008314707,0.0023951584,0.00003638313],"about_ca_topic_score_codex":0.01827156,"about_ca_topic_score_gemma":0.020959236,"teacher_disagreement_score":0.01827156,"about_ca_system_score_codex":0.0004399895,"about_ca_system_score_gemma":0.0005352969,"threshold_uncertainty_score":0.036330402},"labels":[],"label_agreement":null},{"id":"W3080684730","doi":"10.1007/s00382-020-05388-y","title":"Object-based tracking of precipitation systems in western Canada: the importance of temporal resolution of source data","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"","keywords":"Precipitation; Climatology; Environmental science; Precipitation types; Convection; Meteorology; Geology; Geography","score_opus":0.037914490635495804,"score_gpt":0.25118555211611093,"score_spread":0.21327106148061514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3080684730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98915535,0.00048950553,0.0046898085,0.00025653746,0.000017969345,0.000021421254,0.0032205055,0.00015596613,0.001992984],"genre_scores_gemma":[0.9940399,0.00020476764,0.0032852856,0.000015121221,0.0000047144526,0.000005723386,0.0015302596,0.000020202808,0.00089404767],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998325,0.000017968212,0.000010148362,0.000053343207,0.00004940111,0.000036683236],"domain_scores_gemma":[0.99920136,0.00017427324,0.000108167864,0.000058084683,0.00038202098,0.00007615918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051642506,0.00017099307,0.00021176983,0.0009388381,0.00063650473,0.0013647317,0.0007417367,0.00031603474,0.00092285173],"category_scores_gemma":[0.0023897293,0.00015952587,0.00016234523,0.0029941013,0.00034260424,0.00058132544,0.0003897283,0.00029647112,0.00013242303],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037489948,0.00010115217,0.71402025,0.00014681778,0.00022585354,0.0001601801,0.0010472855,0.15060148,0.003910696,0.0024930392,0.004989479,0.121928856],"study_design_scores_gemma":[0.000029003628,0.000011529642,0.6976939,0.000032632393,0.000056477365,0.000046753557,0.0005576301,0.29591826,0.0013463278,0.00061587465,0.0036608558,0.000030693504],"about_ca_topic_score_codex":0.9843603,"about_ca_topic_score_gemma":0.9884151,"teacher_disagreement_score":0.015639722,"about_ca_system_score_codex":0.0063696303,"about_ca_system_score_gemma":0.007789026,"threshold_uncertainty_score":0.046215177},"labels":[],"label_agreement":null},{"id":"W3082883292","doi":"10.1007/s00382-020-05428-7","title":"An extension of LDEO5 model for ENSO ensemble predictions","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Hindcast; Data assimilation; Climatology; Initialization; Equator; Ensemble Kalman filter; Sea surface temperature; Environmental science; Forecast skill; Perturbation (astronomy); El Niño Southern Oscillation; Meteorology; Geology; Kalman filter; Mathematics; Latitude; Computer science; Geodesy; Statistics; Physics","score_opus":0.03417828477351419,"score_gpt":0.26676750223599033,"score_spread":0.23258921746247613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082883292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6294387,0.0011680913,0.3285109,0.000758744,0.00079164945,0.00022760824,0.0067264,0.004738179,0.027639737],"genre_scores_gemma":[0.9668897,0.00016851598,0.027595278,0.000064105756,0.00006932992,0.000081656806,0.0024832748,0.000082264836,0.0025660223],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982077,0.0000389288,0.000016206997,0.00004529648,0.000052619103,0.000026207617],"domain_scores_gemma":[0.9997806,0.000040345807,0.000019715608,0.00003271381,0.000107100204,0.000019491841],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006140981,0.00046040356,0.00035893914,0.00034240802,0.00029553528,0.0005093987,0.00088597037,0.0003929083,0.0023322282],"category_scores_gemma":[0.00089987804,0.00017401954,0.00052153063,0.0003536361,0.00013530438,0.00069273514,0.00061770703,0.00042463985,0.00039114937],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011341727,0.000102148435,0.012012429,0.000060411097,0.00008975502,0.000086921405,0.000044741173,0.9390822,0.0018290242,0.002509745,0.002772672,0.04129648],"study_design_scores_gemma":[0.000007990367,0.000009912085,0.0008590685,0.0000032547791,0.0000062560603,0.00000306911,0.0000032819903,0.99778086,0.00026509818,0.00018714795,0.00086968864,0.000004372677],"about_ca_topic_score_codex":0.0333174,"about_ca_topic_score_gemma":0.020147376,"teacher_disagreement_score":0.0333174,"about_ca_system_score_codex":0.00049705355,"about_ca_system_score_gemma":0.0008665939,"threshold_uncertainty_score":0.06624693},"labels":[],"label_agreement":null},{"id":"W3083688369","doi":"10.1007/s00382-020-05396-y","title":"The seasonal footprinting mechanism in large ensemble simulations of the second generation Canadian earth system model: uncertainty due to internal climate variability","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Climatology; Anomaly (physics); Environmental science; Precipitation; Subtropics; Climate model; Pacific decadal oscillation; Atmospheric circulation; Atmospheric sciences; Subtropical ridge; El Niño Southern Oscillation; Climate change; Geology; Geography; Oceanography; Meteorology","score_opus":0.015607780558243366,"score_gpt":0.22424959889373583,"score_spread":0.20864181833549247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083688369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992304,0.00013016522,0.004052116,0.00028703295,0.000028817987,0.000018159371,0.0008015153,0.00009337259,0.0022847347],"genre_scores_gemma":[0.9980812,0.00005306797,0.0010581593,0.000031971304,0.000006988794,0.0000119224915,0.0004428001,0.000016016285,0.0002978103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997688,0.000064922984,0.000010198815,0.00004978255,0.000048086218,0.000058246562],"domain_scores_gemma":[0.9992011,0.00027453288,0.000093491726,0.00008177007,0.000240514,0.00010860196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011259961,0.0006428442,0.00056807266,0.00036070833,0.0012023981,0.00086637435,0.0012835267,0.00075938576,0.0007021249],"category_scores_gemma":[0.002735425,0.0003255528,0.00060302246,0.000672208,0.0006674302,0.0006823182,0.00059048866,0.00073071395,0.000065772256],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042332224,0.000031305408,0.017190952,0.000009084538,0.00006696363,0.000034913544,0.00002529784,0.979428,0.00038364713,0.0006494334,0.0004965982,0.0016415028],"study_design_scores_gemma":[0.000012880093,0.000008295465,0.00513725,0.0000022751524,0.000014129606,0.0000031462835,0.000013066927,0.9943351,0.0001405678,0.000174008,0.00015114546,0.000007999643],"about_ca_topic_score_codex":0.7467413,"about_ca_topic_score_gemma":0.6420913,"teacher_disagreement_score":0.2532587,"about_ca_system_score_codex":0.0036122857,"about_ca_system_score_gemma":0.0037306445,"threshold_uncertainty_score":0.5095004},"labels":[],"label_agreement":null},{"id":"W3092426833","doi":"10.1007/s00382-020-05483-0","title":"Diverse influences of spring Arctic Oscillation on the following winter El Niño–Southern Oscillation in CMIP5 models","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"CAS Key Laboratory of Receptor Research; Natural Science Foundation of Jilin Province","keywords":"Climatology; Anomaly (physics); Subtropics; Coupled model intercomparison project; Precipitation; Sea surface temperature; Environmental science; Subtropical ridge; Pacific decadal oscillation; Spring (device); Arctic oscillation; Madden–Julian oscillation; El Niño Southern Oscillation; Atmospheric sciences; Climate model; Geology; Oceanography; Climate change; Geography; Northern Hemisphere; Meteorology","score_opus":0.03196546897076732,"score_gpt":0.24416338047865913,"score_spread":0.2121979115078918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092426833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900093,0.0004504988,0.0014022768,0.0006498653,0.00009603718,0.000010790097,0.0009431663,0.00011827994,0.0063197734],"genre_scores_gemma":[0.9987159,0.00017888106,0.00020671265,0.00004829372,0.00002209686,0.0000056041013,0.00031825958,0.000051104693,0.0004532172],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995653,0.00020655982,0.000025238978,0.000083964886,0.000034916593,0.00008398499],"domain_scores_gemma":[0.9986733,0.00078969536,0.00009515556,0.000099735196,0.00013169092,0.00021046234],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001335446,0.0008024169,0.00048083204,0.000621344,0.0010814926,0.0015457253,0.0008329477,0.0012174839,0.003074145],"category_scores_gemma":[0.005191136,0.000742889,0.0009217546,0.00060370273,0.0006931125,0.0010541375,0.0011755936,0.0011369961,0.00028169088],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00065659493,0.00014802077,0.07479782,0.00009528591,0.0004905691,0.00027445547,0.00022595348,0.9025225,0.006616077,0.004735617,0.002998915,0.006438157],"study_design_scores_gemma":[0.0001300212,0.00006193539,0.07624976,0.00005545122,0.00024260645,0.000042251417,0.00019274364,0.91765344,0.0015847093,0.0023386783,0.0013832037,0.000065166496],"about_ca_topic_score_codex":0.03967624,"about_ca_topic_score_gemma":0.056376673,"teacher_disagreement_score":0.03967624,"about_ca_system_score_codex":0.0012445245,"about_ca_system_score_gemma":0.00082207925,"threshold_uncertainty_score":0.07889062},"labels":[],"label_agreement":null},{"id":"W3092489853","doi":"10.1007/s00382-020-05469-y","title":"Quantifying the energetic feedbacks in ENSO","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"China Scholarship Council; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Longwave; Shortwave; Environmental science; Climatology; Shortwave radiation; Anomaly (physics); Atmosphere (unit); Atmospheric sciences; Latent heat; Radiative transfer; Diabatic; Cloud feedback; Sea surface temperature; Radiative cooling; Outgoing longwave radiation; Climate model; Climate change; Geology; Climate sensitivity; Convection; Physics; Meteorology; Radiation; Adiabatic process; Oceanography","score_opus":0.03622662539279047,"score_gpt":0.25546650373182733,"score_spread":0.21923987833903685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092489853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779359,0.00022956486,0.016180914,0.00043457694,0.00006739913,0.000014239434,0.0003856367,0.00013077717,0.0046209088],"genre_scores_gemma":[0.99829584,0.00008791354,0.0010833137,0.000021112435,0.00001600011,0.0000059739486,0.00011471152,0.000024010238,0.00035123303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986506,0.000048502294,0.000008419092,0.000032131855,0.000022170123,0.000023657862],"domain_scores_gemma":[0.9990534,0.00061290775,0.00012156708,0.00009778703,0.00005827626,0.00005604133],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007242002,0.00047079616,0.00024666873,0.00033849681,0.00041046843,0.0010124843,0.0003707356,0.0005774466,0.0012901672],"category_scores_gemma":[0.004415336,0.00041729867,0.00029134116,0.00037749737,0.0003387089,0.0021684347,0.0006773869,0.00060324406,0.00010412959],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068516245,0.00007948675,0.02412547,0.000029520337,0.0000692141,0.000028773096,0.000038902905,0.95831627,0.003783713,0.0070279,0.00032784115,0.006104329],"study_design_scores_gemma":[0.000008059101,0.000013459129,0.009858519,0.0000044915073,0.0000122783185,0.0000065201884,0.000019028806,0.98459584,0.00058811426,0.00465659,0.00022862993,0.000008476246],"about_ca_topic_score_codex":0.008689029,"about_ca_topic_score_gemma":0.012802693,"teacher_disagreement_score":0.008689029,"about_ca_system_score_codex":0.0008171141,"about_ca_system_score_gemma":0.0005830631,"threshold_uncertainty_score":0.017276883},"labels":[],"label_agreement":null},{"id":"W3093291485","doi":"10.1007/s00382-020-05501-1","title":"The dominant North Pacific atmospheric circulation patterns and their relations to Pacific SSTs: historical simulations and future projections in the IPCC AR6 models","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China","keywords":"Climatology; Pacific decadal oscillation; Teleconnection; Climate model; Environmental science; Sea surface temperature; Atmospheric circulation; Precipitation; El Niño Southern Oscillation; Multivariate ENSO index; Climate change; Forcing (mathematics); Boreal; Atmospheric model; General Circulation Model; Atmospheric sciences; La Niña; Geology; Oceanography; Geography; Meteorology","score_opus":0.01540546297211564,"score_gpt":0.21002330287498575,"score_spread":0.1946178399028701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093291485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9757676,0.00079987786,0.0040646996,0.0006164182,0.00010729982,0.000019849173,0.011218008,0.00023309738,0.0071732937],"genre_scores_gemma":[0.99388194,0.00076784054,0.0016146315,0.000028103776,0.000023118084,0.000020868009,0.0024187586,0.000055917204,0.0011888364],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99989057,0.000029685092,0.000008767277,0.00003481867,0.000016701591,0.000019444487],"domain_scores_gemma":[0.99957925,0.00015337179,0.00006557437,0.000038279042,0.000096421834,0.00006713173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055212755,0.0005331668,0.00022512746,0.0005569907,0.00045635703,0.0009595347,0.0004437653,0.00053505023,0.0021189768],"category_scores_gemma":[0.0018830666,0.0004148024,0.0005965542,0.0015384312,0.000386866,0.00096184545,0.0003103811,0.00074696087,0.00037910475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029482733,0.00012267655,0.17001605,0.00023636488,0.00023514562,0.00019971478,0.0003360267,0.7791746,0.0017463862,0.0058486843,0.01284837,0.028941121],"study_design_scores_gemma":[0.00011653268,0.000051403564,0.19542481,0.00007348994,0.00016472688,0.00013015917,0.00021557006,0.79090977,0.0013256351,0.0049633444,0.0065719523,0.0000526319],"about_ca_topic_score_codex":0.0732154,"about_ca_topic_score_gemma":0.08355036,"teacher_disagreement_score":0.0732154,"about_ca_system_score_codex":0.00076133956,"about_ca_system_score_gemma":0.00084250624,"threshold_uncertainty_score":0.14557844},"labels":[],"label_agreement":null},{"id":"W3097185390","doi":"10.1007/s00382-020-05471-4","title":"What causes the spread of model projections of ocean dynamic sea-level change in response to greenhouse gas forcing?","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Biological and Environmental Research; National Cancer Institute; Australian Research Council; Natural Environment Research Council; Sight Research UK; Deutsche Forschungsgemeinschaft; Office of Science; Marine Environmental Observation Prediction and Response Network; Ministry of Education, Culture, Sports, Science and Technology; Australian National University; University of Reading; Commonwealth Scientific and Industrial Research Organisation; U.S. Department of Energy; Australian Government; National Computational Infrastructure","keywords":"Climatology; Environmental science; Forcing (mathematics); Climate change; Ocean current; Greenhouse gas; Ocean heat content; Atmospheric sciences; Arctic; Ocean general circulation model; Climate model; Heat flux; Thermohaline circulation; Ice-albedo feedback; Sea ice; Arctic ice pack; Oceanography; General Circulation Model; Geology; Heat transfer; Drift ice; Physics","score_opus":0.06485963673177828,"score_gpt":0.2957974015128921,"score_spread":0.2309377647811138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3097185390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907369,0.00014809241,0.005900875,0.0004803338,0.000028398674,0.000011702194,0.0003423204,0.00015316525,0.0021983213],"genre_scores_gemma":[0.9989674,0.000047684538,0.00065128977,0.000030064255,0.0000069118573,0.0000049909117,0.0001329926,0.00002008296,0.00013857055],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99961865,0.000171449,0.000025688489,0.00009582327,0.000046315497,0.00004193021],"domain_scores_gemma":[0.9978155,0.0012705789,0.00025888518,0.00024609835,0.00029880993,0.000110134635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022134243,0.0004509292,0.0003711973,0.0005418195,0.00030781966,0.0010855952,0.0005918454,0.00086886354,0.0013722857],"category_scores_gemma":[0.0074408357,0.00047989175,0.0008090829,0.00041907,0.00048778247,0.00092874933,0.00079498754,0.0008232312,0.00013823391],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001694947,0.000053894462,0.0694008,0.000043061904,0.00024001421,0.00007545371,0.00008403313,0.92066956,0.00294643,0.0015208751,0.00044913596,0.004347201],"study_design_scores_gemma":[0.00004848727,0.000053303094,0.024262382,0.00001564753,0.000049644113,0.000021576567,0.000112491725,0.9722509,0.0011494916,0.0017273276,0.00028013412,0.000028663688],"about_ca_topic_score_codex":0.021728327,"about_ca_topic_score_gemma":0.0123214265,"teacher_disagreement_score":0.021728327,"about_ca_system_score_codex":0.0007060324,"about_ca_system_score_gemma":0.0004491309,"threshold_uncertainty_score":0.04320371},"labels":[],"label_agreement":null},{"id":"W3111800415","doi":"10.1007/s00382-020-05521-x","title":"An observation-based scaling model for climate sensitivity estimates and global projections to 2100","year":2020,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"H2020 European Research Council; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Office of Polar Programs; Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung","keywords":"Scaling; Climatology; Function (biology); Sensitivity (control systems); Exponent; Statistical physics; Climate model; Exploit; General Circulation Model; Symmetry (geometry); Climate change; Mathematics; Computer science; Physics; Geology","score_opus":0.04150111598844616,"score_gpt":0.2921614807493192,"score_spread":0.25066036476087306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111800415","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":[0.47469085,0.0005282852,0.49789774,0.0030082935,0.00015081707,0.00012776068,0.0029785372,0.0011566629,0.019461038],"genre_scores_gemma":[0.98137146,0.00018396185,0.01378318,0.00009764197,0.00004737331,0.00013056496,0.00067268155,0.000112396585,0.003600737],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99943835,0.00020251916,0.000024257923,0.00019467405,0.00007735133,0.00006286808],"domain_scores_gemma":[0.9985511,0.0009024038,0.00019045259,0.00010783902,0.00019131017,0.00005696798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029244341,0.00055764534,0.00057145156,0.00082877616,0.00041034925,0.0011339362,0.0014389134,0.0012813354,0.0037373495],"category_scores_gemma":[0.0068195355,0.0006481706,0.001021726,0.00073891704,0.0010227511,0.0017338647,0.00067401316,0.0011118271,0.00046819594],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000027149108,0.000019280667,0.003599207,0.000024046423,0.000035788256,0.00006861199,0.00008199345,0.9440577,0.00041081343,0.046688266,0.0010795998,0.0039074533],"study_design_scores_gemma":[0.0000048583343,0.0000045541997,0.0009513177,0.000005755615,0.00000632247,0.000011695143,0.000008575482,0.9855493,0.000046842448,0.012927696,0.00047330567,0.000009780076],"about_ca_topic_score_codex":0.03708033,"about_ca_topic_score_gemma":0.016002404,"teacher_disagreement_score":0.03708033,"about_ca_system_score_codex":0.0019917057,"about_ca_system_score_gemma":0.0010581954,"threshold_uncertainty_score":0.07372898},"labels":[],"label_agreement":null},{"id":"W3118231813","doi":"10.1007/s00382-020-05538-2","title":"Characterizing non-stationary compound extreme events in a changing climate based on large-ensemble climate simulations","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Copula (linguistics); Climatology; Pooling; Environmental science; Precipitation; Climate model; Multivariate statistics; Tail dependence; Climate change; Mathematics; Econometrics; Meteorology; Statistics; Computer science; Geography; Geology","score_opus":0.024037077969166817,"score_gpt":0.2624359373468674,"score_spread":0.23839885937770056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3118231813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97941864,0.00009801893,0.018681303,0.00018696424,0.00003057689,0.000017929893,0.00035399443,0.00012108166,0.0010914985],"genre_scores_gemma":[0.9969432,0.000045656176,0.0025149446,0.000020416914,0.00002231573,0.000010647148,0.00031177312,0.000024035766,0.00010693118],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999848,0.0000539715,0.000011327507,0.000039441493,0.000018092209,0.000029074483],"domain_scores_gemma":[0.99826545,0.0011027288,0.00018857264,0.00018197636,0.00011325493,0.0001479583],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008558537,0.0004999395,0.0005852208,0.0005109522,0.00053846557,0.00077422184,0.00071182434,0.0010202102,0.00072220014],"category_scores_gemma":[0.0043296553,0.00045576275,0.000750358,0.0006214319,0.0005135302,0.0016008546,0.00061518187,0.00095714163,0.00007226054],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000043976506,0.000034360495,0.0075405897,0.0000096437325,0.000062849715,0.000033289554,0.000017482873,0.98911124,0.0007440425,0.0008305961,0.00016780301,0.0014040638],"study_design_scores_gemma":[0.0000030049825,0.000003272534,0.001577885,6.622162e-7,0.0000041136077,0.0000028647942,0.0000043727537,0.99793255,0.00006624494,0.000379987,0.00002191253,0.00000318419],"about_ca_topic_score_codex":0.016591124,"about_ca_topic_score_gemma":0.015275616,"teacher_disagreement_score":0.016591124,"about_ca_system_score_codex":0.00073085603,"about_ca_system_score_gemma":0.0007089826,"threshold_uncertainty_score":0.032989144},"labels":[],"label_agreement":null},{"id":"W3119102174","doi":"10.1007/s00382-020-05537-3","title":"Impact of soil moisture on the dominant modes of North American temperature variability","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Empirical orthogonal functions; Environmental science; Climatology; Water content; Moisture; Shortwave radiation; Atmospheric sciences; Spatial variability; Atmospheric circulation; Geology; Meteorology; Radiation; Geography; Mathematics","score_opus":0.008326960149671743,"score_gpt":0.24208826380381476,"score_spread":0.23376130365414302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119102174","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99617237,0.00009989005,0.00042295206,0.00035917218,0.000023611392,0.000002907192,0.00024812148,0.000035527977,0.00263554],"genre_scores_gemma":[0.99963653,0.0000486979,0.00004866809,0.000011134103,0.000006952622,0.0000015948675,0.000054415978,0.000008355632,0.00018358232],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997588,0.000093959025,0.000008594651,0.000048546324,0.000024340561,0.000065769236],"domain_scores_gemma":[0.99866915,0.0008349533,0.00011079757,0.00007602546,0.0001344302,0.00017463483],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089546415,0.00039545208,0.0003014452,0.0003387685,0.0006212113,0.0013849239,0.0003884214,0.0006124901,0.0033496385],"category_scores_gemma":[0.0035446163,0.00031792955,0.000553257,0.00046382516,0.0005868789,0.0010563591,0.0008578851,0.00066277414,0.00017562429],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014316363,0.00031752442,0.3116511,0.00012470524,0.00041174382,0.0004553644,0.00028992572,0.64255923,0.013571448,0.0065954044,0.0031202477,0.019471738],"study_design_scores_gemma":[0.00008411482,0.00009204076,0.31331846,0.000019797735,0.00013590243,0.000061513376,0.00033972808,0.68025374,0.0021151819,0.0026176001,0.0009202365,0.000041647243],"about_ca_topic_score_codex":0.042757783,"about_ca_topic_score_gemma":0.053123437,"teacher_disagreement_score":0.9572422,"about_ca_system_score_codex":0.0010938382,"about_ca_system_score_gemma":0.0007897128,"threshold_uncertainty_score":0.0850178},"labels":[],"label_agreement":null},{"id":"W3119934201","doi":"10.1007/s00382-020-05583-x","title":"Atmospheric blocking events in the North Atlantic: trends and links to climate anomalies and teleconnections","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Teleconnection; North Atlantic oscillation; Climatology; Environmental science; Northern Hemisphere; Atlantic multidecadal oscillation; Blocking (statistics); Geopotential height; Atmospheric circulation; Geography; Geology; El Niño Southern Oscillation; Meteorology; Precipitation","score_opus":0.010217200677066293,"score_gpt":0.23146301211085246,"score_spread":0.22124581143378616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119934201","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982591,0.0002614427,0.00007500367,0.00006790973,0.0000054466946,0.0000018062123,0.00046972884,0.000008324423,0.00085112115],"genre_scores_gemma":[0.9993754,0.000106484535,0.000052098447,0.00000796054,0.0000101168935,0.0000018639918,0.000333106,0.000001774337,0.0001112913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998555,0.00002405337,0.000019011022,0.000036167283,0.000038532267,0.00002684361],"domain_scores_gemma":[0.99817646,0.00036871692,0.0008615899,0.00010953729,0.00031384712,0.00016972395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036664598,0.000114917595,0.00014697657,0.0008636671,0.00017276221,0.00044729194,0.00013520881,0.00020197223,0.000992381],"category_scores_gemma":[0.0012495492,0.00007385793,0.00016618593,0.0016358816,0.00019202691,0.0002927548,0.0002907346,0.00024319782,0.00012938841],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000031475865,0.000008867269,0.99679583,0.0000084541325,0.00003496273,0.000021504547,0.00009744136,0.00010227331,0.00056443724,0.000030170415,0.000100672456,0.0022039418],"study_design_scores_gemma":[6.814609e-7,0.0000053653475,0.9995597,0.0000019344172,0.0000067004003,0.000009220469,0.00004846344,0.00022769868,0.000024078703,0.000008581539,0.00010653039,9.899626e-7],"about_ca_topic_score_codex":0.02568136,"about_ca_topic_score_gemma":0.041717723,"teacher_disagreement_score":0.02568136,"about_ca_system_score_codex":0.00025329183,"about_ca_system_score_gemma":0.0002654671,"threshold_uncertainty_score":0.051063716},"labels":[],"label_agreement":null},{"id":"W3120691284","doi":"10.1007/s00382-020-05502-0","title":"An updated evaluation of the global mean land surface air temperature and surface temperature trends based on CLSAT and CMST","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China","keywords":"Surface air temperature; Climatology; Environmental science; Air temperature; Surface (topology); Sea surface temperature; Mean radiant temperature; Meteorology; Atmospheric sciences; Geology; Climate change; Geography; Precipitation; Oceanography; Mathematics","score_opus":0.010544129984291993,"score_gpt":0.25916357078496444,"score_spread":0.24861944080067244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120691284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7757116,0.0011639174,0.013976828,0.0011082578,0.0005617724,0.00022211253,0.18556674,0.0024562848,0.019232534],"genre_scores_gemma":[0.80562043,0.0005220302,0.01825888,0.00026173188,0.00015631258,0.00012380282,0.1700545,0.0003554031,0.0046468712],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99924695,0.00013065824,0.000070524846,0.0001297503,0.00036270358,0.000059468577],"domain_scores_gemma":[0.9959602,0.0002868068,0.0003561826,0.00037659254,0.0028102228,0.0002100744],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023434812,0.00055732974,0.0004853575,0.0025090182,0.00026741446,0.0009599394,0.00083247555,0.0004478195,0.002409903],"category_scores_gemma":[0.0033968787,0.000181438,0.00050115376,0.0030730402,0.00012933044,0.001476878,0.0005242482,0.00033334456,0.0008889315],"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":[0.0012069681,0.00040758314,0.62055355,0.0005073475,0.00075316976,0.00039058115,0.0002724954,0.079252236,0.011648018,0.0018144052,0.08216585,0.20102784],"study_design_scores_gemma":[0.00014943557,0.00021053723,0.8337452,0.0001019236,0.00044034753,0.0002077721,0.00020608955,0.09015946,0.005694297,0.0005171785,0.06849371,0.0000740385],"about_ca_topic_score_codex":0.093442336,"about_ca_topic_score_gemma":0.10012532,"teacher_disagreement_score":0.093442336,"about_ca_system_score_codex":0.0011921171,"about_ca_system_score_gemma":0.0018324875,"threshold_uncertainty_score":0.18579686},"labels":[],"label_agreement":null},{"id":"W3121640914","doi":"10.1007/s00382-021-05642-x","title":"Late twentieth century increase in northern Spitsbergen (Svalbard) glacier-derived runoff tracked by coralline algal Ba/Ca ratios","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Deutsche Forschungsgemeinschaft","keywords":"Glacier; Surface runoff; Meltwater; Arctic; Geology; Oceanography; Cryosphere; Physical geography; Environmental science; Climatology; Sea ice; Geography; Ecology; Geomorphology","score_opus":0.009740261370419008,"score_gpt":0.2109571990774257,"score_spread":0.2012169377070067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121640914","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957871,0.00037558714,0.00010112879,0.00005483855,0.000011413982,0.0000013579662,0.0026948946,0.000022492026,0.00095122145],"genre_scores_gemma":[0.99626863,0.0003268527,0.00018736807,0.000022060589,0.0000131500965,0.0000033566002,0.002567683,0.000009555373,0.00060123997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999411,0.000004576917,0.000005018473,0.000024829778,0.000011093546,0.000013434384],"domain_scores_gemma":[0.9997985,0.000021497903,0.00007432378,0.000013737077,0.00005869831,0.00003323911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019692461,0.00014854003,0.00013896171,0.00093675574,0.00020708467,0.0005384268,0.00013820083,0.0001691954,0.00088264886],"category_scores_gemma":[0.00028253224,0.00008338806,0.00012908354,0.0006590215,0.00013886012,0.00022441465,0.00028379352,0.0001913822,0.0002273913],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000073034025,0.000023809607,0.98131,0.00004301617,0.000097334916,0.00014953814,0.00039336766,0.000603707,0.0036779244,0.00012972711,0.0014581758,0.012040265],"study_design_scores_gemma":[8.0212186e-7,0.0000065957756,0.9978897,0.000007704531,0.000009776375,0.000028872946,0.00008682606,0.00025197258,0.00035382572,0.000011961656,0.0013504386,0.0000015986227],"about_ca_topic_score_codex":0.04764657,"about_ca_topic_score_gemma":0.10415043,"teacher_disagreement_score":0.04764657,"about_ca_system_score_codex":0.0005296983,"about_ca_system_score_gemma":0.0002403324,"threshold_uncertainty_score":0.09473848},"labels":[],"label_agreement":null},{"id":"W3128419493","doi":"10.1007/s00382-021-05683-2","title":"Correction to: Atmospheric blocking events in the North Atlantic: trends and links to climate anomalies and teleconnections","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Université du Québec à Montréal","funders":"","keywords":"Teleconnection; Internet portal; Blocking (statistics); Climatology; Environmental science; Meteorology; Oceanography; Geography; The Internet; El Niño Southern Oscillation; Geology; Computer science; World Wide Web","score_opus":0.009264610019246586,"score_gpt":0.23301945712042416,"score_spread":0.22375484710117757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3128419493","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0002710231,0.0008497559,0.0005795423,0.01898776,0.9722383,0.000030266474,0.004518616,0.00046771998,0.0020568871],"genre_scores_gemma":[0.036668744,0.009721814,0.008330251,0.051195435,0.58638376,0.0005613733,0.023201674,0.0037065803,0.28023034],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.996036,0.0005650703,0.00095820765,0.0005958118,0.001362614,0.00048235312],"domain_scores_gemma":[0.96645254,0.006498697,0.0021479067,0.0032820136,0.01980534,0.0018136067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029455211,0.002567311,0.0020979922,0.005542385,0.0020627652,0.0041921656,0.0030598887,0.0042411624,0.11983871],"category_scores_gemma":[0.054611877,0.0012039124,0.0020066097,0.005025285,0.0013011136,0.0027629554,0.0022034547,0.007216153,0.050163582],"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":[0.00004544283,0.0000058511764,0.00015965776,0.00020314852,0.000016939517,0.00006711949,0.000024133882,0.00006165202,0.00004312102,0.00031659848,0.9938975,0.0051588244],"study_design_scores_gemma":[0.00012070272,0.000029462411,0.0037963325,0.00046032303,0.00005108565,0.00037539436,0.00014815373,0.00049579656,0.00030078125,0.0015043223,0.99265975,0.000057910263],"about_ca_topic_score_codex":0.023662934,"about_ca_topic_score_gemma":0.0301081,"teacher_disagreement_score":0.11983871,"about_ca_system_score_codex":0.002660976,"about_ca_system_score_gemma":0.0047881952,"threshold_uncertainty_score":0.40090042},"labels":[],"label_agreement":null},{"id":"W3129039590","doi":"10.1007/s00382-021-05660-9","title":"Northern poleward edge of regional Hadley cell over western Pacific during boreal winter: year-to-year variability, influence factors and associated winter climate anomalies","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Climatology; Extratropical cyclone; Hadley cell; Forcing (mathematics); Advection; Boreal; Precipitation; Sea surface temperature; Environmental science; Teleconnection; Anomaly (physics); Orbital forcing; Walker circulation; Geology; Climate change; El Niño Southern Oscillation; Oceanography; Geography; General Circulation Model","score_opus":0.00878102033076027,"score_gpt":0.21798537771173887,"score_spread":0.2092043573809786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3129039590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99884206,0.000058145306,0.00005325409,0.000028240529,0.00000952119,0.0000023427217,0.00035392639,0.00000925774,0.0006432571],"genre_scores_gemma":[0.9993832,0.00003201359,0.00006317328,0.000009600918,0.000004954545,0.0000022320726,0.0002948897,0.000002684315,0.00020705622],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999176,0.000008399893,0.000005181453,0.00003218562,0.000013220836,0.000023366572],"domain_scores_gemma":[0.9996228,0.00006182447,0.00007985595,0.000024478635,0.000105961066,0.00010505209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020242491,0.00015572764,0.00022087006,0.00029167134,0.0005074392,0.0006357439,0.00027362147,0.00020868125,0.0010608617],"category_scores_gemma":[0.0005050381,0.00011315419,0.0001868116,0.000475589,0.00022007695,0.00030474167,0.00032756556,0.00019367927,0.00010478351],"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":[0.00016638232,0.000037755104,0.9896298,0.000020138013,0.000090321024,0.00017545008,0.0006679207,0.0010669506,0.0028906546,0.00014152825,0.00096715405,0.0041458104],"study_design_scores_gemma":[0.000002471397,0.000007755713,0.998454,0.0000025573459,0.000011189815,0.000021920845,0.00028841497,0.00074445055,0.00009055686,0.000017687687,0.00035654262,0.000002390007],"about_ca_topic_score_codex":0.13452668,"about_ca_topic_score_gemma":0.27173394,"teacher_disagreement_score":0.13452668,"about_ca_system_score_codex":0.00050049135,"about_ca_system_score_gemma":0.0005986,"threshold_uncertainty_score":0.2674873},"labels":[],"label_agreement":null},{"id":"W3130493259","doi":"10.1007/s00382-021-05644-9","title":"Ensemble projection of city-level temperature extremes with stepwise cluster analysis","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Environmental science; Climatology; Climate change; Representative Concentration Pathways; GCM transcription factors; Baseline (sea); Cluster (spacecraft); Global warming; Scale (ratio); Ensemble average; Climate model; Mean radiant temperature; Greenhouse gas; General Circulation Model; Geography; Computer science","score_opus":0.01925324890803727,"score_gpt":0.23805298218060517,"score_spread":0.2187997332725679,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130493259","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8407934,0.00008797884,0.14770366,0.00014333616,0.00008949531,0.000057620728,0.006229886,0.0008347885,0.0040599345],"genre_scores_gemma":[0.9624535,0.00005231201,0.031318165,0.000008960786,0.000014210341,0.00006171485,0.005031963,0.000074748066,0.0009844155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985003,0.000044996505,0.0000071686986,0.000037565627,0.000028872833,0.00003143522],"domain_scores_gemma":[0.99951935,0.00011215497,0.000029917906,0.00010667014,0.00020158979,0.000030329285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034791866,0.00037863574,0.0004096598,0.0005491012,0.00043631092,0.0004887594,0.00053565006,0.00032385305,0.0023212656],"category_scores_gemma":[0.001229934,0.00026616405,0.00094199734,0.0012750116,0.00013440874,0.000368243,0.00049533264,0.0006097871,0.0005140136],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010621347,0.000049348324,0.012108716,0.000019267647,0.00016740557,0.00003189052,0.000052454372,0.96017045,0.0011874354,0.0021135698,0.0023018806,0.021691432],"study_design_scores_gemma":[0.000006551493,0.0000061014935,0.0062191924,0.0000016920307,0.00001300452,0.0000040597024,0.000013271563,0.9923724,0.00033114833,0.0007154336,0.00030878372,0.000008310702],"about_ca_topic_score_codex":0.049459435,"about_ca_topic_score_gemma":0.049616534,"teacher_disagreement_score":0.049459435,"about_ca_system_score_codex":0.00043206394,"about_ca_system_score_gemma":0.0014324002,"threshold_uncertainty_score":0.098343074},"labels":[],"label_agreement":null},{"id":"W3131938931","doi":"10.1007/s00382-020-05604-9","title":"The southeast asian monsoon: dynamically downscaled climate change projections and high resolution regional ocean modelling on the effects of the Tibetan Plateau","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Downscaling; Weather Research and Forecasting Model; Climatology; Plateau (mathematics); Monsoon; Precipitation; Environmental science; East Asian Monsoon; Climate model; Climate change; Geology; Meteorology; Geography; Oceanography","score_opus":0.017098019508909972,"score_gpt":0.2135910481937878,"score_spread":0.19649302868487784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131938931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99284077,0.00022542651,0.002095586,0.0004903693,0.0000663611,0.000015640018,0.0014103246,0.00017215699,0.0026832004],"genre_scores_gemma":[0.9966272,0.00020373658,0.0015299083,0.00002995872,0.000029017914,0.000016952801,0.0010419977,0.00003683545,0.0004843418],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990356,0.00004165245,0.000008048648,0.000018901277,0.000010886373,0.000016922182],"domain_scores_gemma":[0.9997545,0.00007025113,0.000028901424,0.000031464904,0.000056573994,0.000058212467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067799306,0.000532432,0.00039683728,0.00036601405,0.00051044713,0.0010929597,0.00081748475,0.000720425,0.0020759297],"category_scores_gemma":[0.0012964945,0.00039496794,0.0005470343,0.0009425935,0.0003716243,0.0008314331,0.0005481628,0.0006861744,0.00019482819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029381935,0.00012336296,0.030746948,0.000057748573,0.00017467754,0.00017591163,0.00010065769,0.9545999,0.0018864269,0.0015009056,0.0012353067,0.009104322],"study_design_scores_gemma":[0.00008441506,0.000035550693,0.021584341,0.000013587815,0.000039636943,0.000010423903,0.00008389636,0.9764578,0.00031191026,0.00073581096,0.00061924465,0.000023406792],"about_ca_topic_score_codex":0.13128816,"about_ca_topic_score_gemma":0.096152656,"teacher_disagreement_score":0.13128816,"about_ca_system_score_codex":0.0009837684,"about_ca_system_score_gemma":0.0017584463,"threshold_uncertainty_score":0.26104796},"labels":[],"label_agreement":null},{"id":"W3138477592","doi":"10.1007/s00382-021-05722-y","title":"A modified gas-phase scheme for advanced regional climate modelling with RegCM4","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Environmental science; Climate model; Troposphere; Atmospheric chemistry; Climatology; Tropospheric ozone; Climate change; Ozone; Atmospheric sciences; Meteorology; Geology; Geography","score_opus":0.024655561279021715,"score_gpt":0.2481780185901353,"score_spread":0.2235224573111136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138477592","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":[0.1534991,0.00086839224,0.72383875,0.001355671,0.0025323709,0.0009762944,0.04228024,0.032437366,0.042211805],"genre_scores_gemma":[0.48701957,0.00038967762,0.4626714,0.00073211413,0.00040200324,0.0012152785,0.025114646,0.0062677716,0.016187545],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99967253,0.000116459865,0.000026352565,0.000058349364,0.00007941335,0.000046945654],"domain_scores_gemma":[0.9994118,0.00011855241,0.00003255202,0.0001540892,0.00022185523,0.00006120816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000877983,0.00087904785,0.001203156,0.00046522214,0.0007725809,0.0010223185,0.0038035312,0.0015738124,0.01732875],"category_scores_gemma":[0.0023551905,0.000814431,0.0011366989,0.0010753564,0.00034500446,0.0015794262,0.0010065506,0.0020726398,0.0036733518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003343516,0.00020661803,0.0018177801,0.00020133572,0.00028851265,0.00012190557,0.00012119615,0.921205,0.005965671,0.013081516,0.021110665,0.03554553],"study_design_scores_gemma":[0.0002582868,0.000033514534,0.0005529975,0.000011451863,0.000034920562,0.000014415108,0.000015548841,0.9822657,0.0012097164,0.0033368915,0.012229927,0.00003655831],"about_ca_topic_score_codex":0.033666328,"about_ca_topic_score_gemma":0.027394226,"teacher_disagreement_score":0.033666328,"about_ca_system_score_codex":0.00091356854,"about_ca_system_score_gemma":0.0021843298,"threshold_uncertainty_score":0.066940725},"labels":[],"label_agreement":null},{"id":"W3139201152","doi":"10.1007/s00382-021-05737-5","title":"Using regional scaling for temperature forecasts with the Stochastic Seasonal to Interannual Prediction System (StocSIPS)","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec","keywords":"Climatology; Forcing (mathematics); Initial value problem; Environmental science; Scaling; Statistical physics; Stochastic modelling; Climate model; Relaxation (psychology); Meteorology; Climate change; Mathematics; Physics; Statistics; Geology","score_opus":0.022378248086534276,"score_gpt":0.24998167331578158,"score_spread":0.2276034252292473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139201152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.491377,0.0003975121,0.47471985,0.0007585845,0.00069865625,0.0001451536,0.008236592,0.011756987,0.011909711],"genre_scores_gemma":[0.8758489,0.00013174707,0.116729334,0.00006598882,0.000107947206,0.00007474839,0.005279833,0.0007951027,0.0009664276],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99963343,0.00011840467,0.000030097757,0.000119004886,0.000077399345,0.000021545273],"domain_scores_gemma":[0.99897504,0.00028081998,0.00012701646,0.00024362326,0.0003240496,0.00004945232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011710426,0.00039747066,0.0003950391,0.0005074457,0.00028141012,0.000735207,0.00053334446,0.00029480277,0.0018115443],"category_scores_gemma":[0.0061394856,0.00028267206,0.00042144294,0.0011025891,0.00013360105,0.0010945075,0.0004976926,0.0006835753,0.00055638974],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010175346,0.000059938488,0.016205996,0.00003867868,0.00016904759,0.000046049663,0.00006019891,0.89480317,0.0020234114,0.004105628,0.009351609,0.0730345],"study_design_scores_gemma":[0.00001946795,0.000008940933,0.0029242295,0.0000041089065,0.000017217062,0.0000052380637,0.000010834275,0.9936419,0.00046827714,0.0015078821,0.0013829347,0.000008941291],"about_ca_topic_score_codex":0.042399522,"about_ca_topic_score_gemma":0.034963686,"teacher_disagreement_score":0.042399522,"about_ca_system_score_codex":0.0005649288,"about_ca_system_score_gemma":0.0011188526,"threshold_uncertainty_score":0.084305465},"labels":[],"label_agreement":null},{"id":"W3145284624","doi":"","title":"McGill paleoclimate model ice sheet sensitivity to ice flow rate and discharge parameters","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ice sheet; Geology; Ice stream; Sea ice growth processes; Climatology; Ice-sheet model; Sea ice thickness; Sea ice; Antarctic ice sheet; Paleoclimatology; Cryosphere; Atmospheric sciences; Geomorphology; Oceanography; Climate change","score_opus":0.020858133399229647,"score_gpt":0.22094240635445775,"score_spread":0.2000842729552281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145284624","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79016984,0.00050364505,0.02566464,0.0025321373,0.00024496167,0.0001691033,0.11095019,0.00436762,0.06539779],"genre_scores_gemma":[0.96296525,0.00013360294,0.008731153,0.0002870009,0.000026230817,0.00011451164,0.017548406,0.00039873045,0.009795102],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99985445,0.00002883188,0.0000051013694,0.000045894856,0.00003236534,0.000033317432],"domain_scores_gemma":[0.99943894,0.00015979714,0.000047901485,0.00006745002,0.00021148474,0.00007436426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036534126,0.0004022154,0.0003779082,0.0003855261,0.00046877045,0.0006163292,0.0020499942,0.0005734179,0.008916632],"category_scores_gemma":[0.0015277351,0.0004501055,0.00046225224,0.000625072,0.00021314857,0.00065483485,0.000322881,0.000587543,0.00078992546],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00061532296,0.00010281138,0.0154427,0.00006879901,0.00014649809,0.000056243865,0.000074220385,0.9155928,0.003434509,0.0038725657,0.043716803,0.016876787],"study_design_scores_gemma":[0.00032585027,0.000047241254,0.018509755,0.000015584425,0.00007649621,0.000015658257,0.000026474883,0.9648197,0.003079527,0.0017002814,0.011317215,0.000066228975],"about_ca_topic_score_codex":0.7564847,"about_ca_topic_score_gemma":0.8050707,"teacher_disagreement_score":0.7564847,"about_ca_system_score_codex":0.004723634,"about_ca_system_score_gemma":0.0037079346,"threshold_uncertainty_score":0.4898988},"labels":[],"label_agreement":null},{"id":"W3149964952","doi":"10.1007/s00382-021-05801-0","title":"Links between atmospheric blocking and North American winter cold spells in two generations of Canadian Earth System Model large ensembles","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Blocking (statistics); Climatology; Cold front; Environmental science; Spell; Atmospheric sciences; Latitude; Meteorology; Geography; Geology; Mathematics; Geodesy; Statistics","score_opus":0.015403313287998632,"score_gpt":0.23009951752163008,"score_spread":0.21469620423363145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149964952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928548,0.00026577286,0.0009690577,0.00013698844,0.000028136512,0.000024341298,0.0044260286,0.00015756766,0.0011373069],"genre_scores_gemma":[0.9903516,0.00012920288,0.0010573883,0.000040514144,0.000012983177,0.00001837863,0.007963832,0.000024781486,0.00040123885],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996896,0.000049378647,0.000016571146,0.000093340765,0.000075070966,0.00007603952],"domain_scores_gemma":[0.99870956,0.00025281266,0.00011041124,0.00014640341,0.00060977874,0.00017110059],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001263273,0.0009070435,0.00057471305,0.00071961875,0.0010741327,0.0008815675,0.0011820326,0.00047793635,0.000792125],"category_scores_gemma":[0.0023600152,0.00030126135,0.000905469,0.0011723215,0.0003306586,0.00047996544,0.0005722598,0.00055382866,0.000110649795],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049850804,0.00017359207,0.5190543,0.00008852418,0.0012203249,0.0001354391,0.00017634813,0.45268607,0.0018285124,0.000767089,0.006477346,0.016893946],"study_design_scores_gemma":[0.0000995058,0.000053640306,0.3641264,0.000028948367,0.00035217835,0.000027518185,0.00016605452,0.6299505,0.001176289,0.0003497297,0.0035726768,0.00009647009],"about_ca_topic_score_codex":0.9332275,"about_ca_topic_score_gemma":0.93338704,"teacher_disagreement_score":0.06677252,"about_ca_system_score_codex":0.005534545,"about_ca_system_score_gemma":0.0058784653,"threshold_uncertainty_score":0.13433146},"labels":[],"label_agreement":null},{"id":"W3151320640","doi":"10.1007/s00382-021-05740-w","title":"Influence of projected climate change, urban development and heat adaptation strategies on end of twenty-first century urban boundary layers across the Conterminous US","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Science Foundation","keywords":"Environmental science; Climate change; Daytime; Climatology; Urban heat island; Greenhouse gas; Climate model; Sensible heat; Representative Concentration Pathways; Atmospheric sciences; Meteorology; Geography; Geology","score_opus":0.01389957250610944,"score_gpt":0.236953688674257,"score_spread":0.22305411616814758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151320640","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940037,0.00017362334,0.00013094084,0.0011013623,0.000011355228,0.000003807491,0.00036501477,0.000006284333,0.004203946],"genre_scores_gemma":[0.99941385,0.00006386713,0.00003893322,0.00003684243,0.0000034066873,0.0000031762904,0.00012301569,0.0000027334918,0.00031422958],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997776,0.00006111546,0.000009625844,0.00002791486,0.000025637624,0.00009805699],"domain_scores_gemma":[0.9995338,0.000110452944,0.00010350171,0.000020978792,0.00009771656,0.00013355952],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040302484,0.000115697374,0.00013876098,0.0004101813,0.000625869,0.001832696,0.0003752039,0.0005879634,0.0030630964],"category_scores_gemma":[0.001444403,0.0001260741,0.00023506634,0.00058047887,0.00065482396,0.0007921208,0.0011410665,0.00066305214,0.00014308444],"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":[0.0005956514,0.00015329546,0.94283515,0.000056999455,0.00014477463,0.00037070343,0.0039930884,0.013956708,0.002569396,0.017942948,0.0028216376,0.0145597225],"study_design_scores_gemma":[0.000015482428,0.000041605923,0.9731557,0.000036550762,0.00004802469,0.000076735625,0.008068281,0.009167767,0.0007675696,0.0022214896,0.006380062,0.000020697044],"about_ca_topic_score_codex":0.093312636,"about_ca_topic_score_gemma":0.18809731,"teacher_disagreement_score":0.093312636,"about_ca_system_score_codex":0.001919272,"about_ca_system_score_gemma":0.0011163449,"threshold_uncertainty_score":0.18553895},"labels":[],"label_agreement":null},{"id":"W3157973256","doi":"10.1007/s00382-021-05776-y","title":"Arctic sea ice melt onset favored by an atmospheric pressure pattern reminiscent of the North American-Eurasian Arctic pattern","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Oceanic and Atmospheric Administration; Natural Environment Research Council; Sight Research UK","keywords":"Arctic; Downwelling; Arctic geoengineering; Climatology; Arctic dipole anomaly; Sea ice; Arctic sea ice decline; Arctic ice pack; Oceanography; Archipelago; Atmospheric circulation; Outgoing longwave radiation; Geology; Environmental science; Atmospheric sciences; Geography; Antarctic sea ice; Upwelling; Meteorology; Convection","score_opus":0.0059579449148707804,"score_gpt":0.20342913080683156,"score_spread":0.19747118589196078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3157973256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99830973,0.000025248632,0.00032227545,0.000015154374,0.0000029026305,0.0000022566226,0.00017041128,0.000013983729,0.0011380962],"genre_scores_gemma":[0.9995179,0.000014615856,0.00019249825,0.000002716512,0.0000022189292,0.0000013833759,0.00011734773,0.0000021048368,0.00014922768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999959,0.000005937215,0.0000037534285,0.00001221397,0.000008520645,0.000010655083],"domain_scores_gemma":[0.9998565,0.000016906819,0.00005424141,0.000007327571,0.00004188043,0.000023249559],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009098138,0.00008525686,0.000099466284,0.000664201,0.00026682974,0.00040145768,0.000053262378,0.00006752466,0.0007872363],"category_scores_gemma":[0.0002487525,0.00005410811,0.000118090684,0.0005723256,0.00015175625,0.00009118505,0.00012315325,0.00009359664,0.00011040463],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032798733,0.0000391861,0.92064756,0.000046105983,0.00010512619,0.00023476862,0.00040888018,0.0015738851,0.060586043,0.0005700712,0.0007206331,0.014739823],"study_design_scores_gemma":[0.0000022433653,0.00001176249,0.99659234,0.0000025913387,0.000009006538,0.000065778935,0.00015858508,0.00164015,0.0010435818,0.00010548842,0.0003655435,0.0000028028032],"about_ca_topic_score_codex":0.006824866,"about_ca_topic_score_gemma":0.016926985,"teacher_disagreement_score":0.006824866,"about_ca_system_score_codex":0.00015897692,"about_ca_system_score_gemma":0.00015069524,"threshold_uncertainty_score":0.013570249},"labels":[],"label_agreement":null},{"id":"W3160601221","doi":"10.1007/s00382-021-05785-x","title":"Deep mixed ocean volume in the Labrador Sea in HighResMIP models","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020; Sight Research UK; National Oceanic and Atmospheric Administration; Natural Environment Research Council; European Commission; Woods Hole Oceanographic Institution","keywords":"Ocean gyre; Geology; Climatology; Ocean current; Convection; Stratification (seeds); Thermohaline circulation; Oceanography; Deep sea; Climate model; Climate change; Meteorology; Geography; Subtropics","score_opus":0.009045846544889097,"score_gpt":0.19324644348666342,"score_spread":0.18420059694177432,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3160601221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99494827,0.00012855168,0.0014431651,0.0001458871,0.000016876904,0.00001369417,0.0013413603,0.00026853738,0.0016936827],"genre_scores_gemma":[0.99615943,0.00005777458,0.001593227,0.000037486054,0.0000075211865,0.000027899141,0.0016662803,0.00004867428,0.00040179174],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999516,0.00022364245,0.000030911422,0.000101416816,0.00004588571,0.000082183906],"domain_scores_gemma":[0.9991091,0.00043420505,0.00012333418,0.00011433644,0.00012848059,0.00009039187],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014271201,0.0010250567,0.00088842644,0.00067183113,0.0004898739,0.0018188796,0.0016803577,0.0011727895,0.0012364368],"category_scores_gemma":[0.002090961,0.0004942418,0.0012759154,0.0009799448,0.0006064825,0.0009861111,0.0007170413,0.0007119519,0.0002361329],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018912375,0.0000617536,0.017335437,0.000029645074,0.00013679132,0.000087637156,0.00003119133,0.97905445,0.0005046283,0.00044564303,0.00043516717,0.001688565],"study_design_scores_gemma":[0.00012568638,0.000113946946,0.008967273,0.000011202196,0.00005511144,0.000021314978,0.000060463175,0.9889655,0.0007601108,0.0003254965,0.00056501024,0.000028854623],"about_ca_topic_score_codex":0.07139436,"about_ca_topic_score_gemma":0.03938181,"teacher_disagreement_score":0.07139436,"about_ca_system_score_codex":0.0022718345,"about_ca_system_score_gemma":0.0010049241,"threshold_uncertainty_score":0.14195758},"labels":[],"label_agreement":null},{"id":"W3161342236","doi":"10.1007/s00382-021-05789-7","title":"Testing the performance of dendroclimatic process-based models at global scale with the PAGES2k tree-ring width database","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec en Abitibi-Témiscamingue","funders":"Centre National de la Recherche Scientifique; Fonds De La Recherche Scientifique - FNRS; Agence Nationale de la Recherche","keywords":"Scale (ratio); Calibration; Tree (set theory); Computer science; Climatology; Climate change; Dendrochronology; Data assimilation; Climate model; Environmental science; Downscaling; Statistics; Meteorology; Mathematics; Geography; Geology; Cartography","score_opus":0.02212044052492317,"score_gpt":0.23531721252506002,"score_spread":0.21319677200013684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161342236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789068,0.0004237906,0.0033744704,0.00052480784,0.00013320634,0.00004278876,0.013258452,0.0016377092,0.0016978885],"genre_scores_gemma":[0.9734302,0.00014659004,0.0060419287,0.00010386249,0.000033507964,0.00003812952,0.019599546,0.00019036817,0.000415887],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983948,0.0005722856,0.00022809669,0.0005176109,0.00018047377,0.00010681322],"domain_scores_gemma":[0.9893674,0.007238821,0.00055307185,0.001615898,0.000848566,0.00037620054],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005227512,0.0012951283,0.0011100834,0.0011103827,0.00068630587,0.0017384158,0.0025149754,0.0017054416,0.001957902],"category_scores_gemma":[0.012069968,0.0006237835,0.0015519889,0.0014686644,0.000662915,0.0030986494,0.0011439442,0.0010884497,0.0007614488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014006089,0.00082858856,0.06482764,0.00022047441,0.0009883097,0.00012216567,0.000120862904,0.9110275,0.0011717787,0.0012949742,0.004865919,0.013131311],"study_design_scores_gemma":[0.0003113253,0.00024804546,0.015789662,0.000019417716,0.00015791468,0.000048450795,0.00012940077,0.9795689,0.001417351,0.00096921314,0.0012953734,0.00004497633],"about_ca_topic_score_codex":0.07339971,"about_ca_topic_score_gemma":0.040520232,"teacher_disagreement_score":0.07339971,"about_ca_system_score_codex":0.0013913984,"about_ca_system_score_gemma":0.00170528,"threshold_uncertainty_score":0.14594495},"labels":[],"label_agreement":null},{"id":"W3166825103","doi":"10.1007/s00382-021-05815-8","title":"Summer temperature response to extreme soil water conditions in the Mediterranean transitional climate regime","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Climate Program Office; European Commission; Biological and Environmental Research; Office of Science; National Oceanic and Atmospheric Administration; U.S. Department of Energy","keywords":"Environmental science; Evapotranspiration; Latent heat; Precipitation; Climatology; Soil water; Atmospheric sciences; Sensible heat; Atmosphere (unit); Water content; Mediterranean climate; Forcing (mathematics); Climate model; Moisture; Climate change; Geology; Meteorology; Soil science; Geography","score_opus":0.02665372633898817,"score_gpt":0.25969408506159336,"score_spread":0.2330403587226052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3166825103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998233,0.0000058661344,0.000047559326,0.000003960766,0.0000017675742,0.00000250994,0.000036156667,0.0000044348153,0.000074447504],"genre_scores_gemma":[0.9998543,0.0000039203255,0.000037117483,0.000005264428,6.5071856e-7,0.0000066283405,0.00006214859,0.0000010124131,0.00002894693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999,0.000028559933,0.0000066337598,0.000028775426,0.000010083491,0.000025889694],"domain_scores_gemma":[0.99978465,0.000060605882,0.000042828546,0.000029442059,0.00002372582,0.000058851805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002424082,0.00021100011,0.00033162622,0.00012180678,0.0001833643,0.00034574498,0.00020881818,0.0003919917,0.00058204174],"category_scores_gemma":[0.0003940657,0.00009741564,0.000326288,0.00008644621,0.00023686753,0.00016312854,0.0002942252,0.0002892731,0.00008400709],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.007084012,0.001749958,0.4948465,0.00018757628,0.00042358902,0.000797138,0.000876321,0.04984759,0.43169594,0.00042775652,0.0007185359,0.01134512],"study_design_scores_gemma":[0.00014210492,0.0025029378,0.9604286,0.000008840792,0.000057055324,0.00004761344,0.00038850066,0.019322248,0.016483879,0.00017091763,0.0004235617,0.000023816248],"about_ca_topic_score_codex":0.0025746392,"about_ca_topic_score_gemma":0.0025392252,"teacher_disagreement_score":0.0025746392,"about_ca_system_score_codex":0.00030278973,"about_ca_system_score_gemma":0.00012362824,"threshold_uncertainty_score":0.005119264},"labels":[],"label_agreement":null},{"id":"W3170161526","doi":"10.1007/s00382-021-05836-3","title":"Multi-model assessment of the late-winter stratospheric response to El Niño and La Niña","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agence Nationale de la Recherche; European Commission","keywords":"Stratosphere; Polar vortex; Climatology; Geopotential height; Teleconnection; Atmospheric sciences; Anticyclone; Polar; Geology; Troposphere; Sudden stratospheric warming; Geopotential; Anomaly (physics); Latitude; Wavenumber; Atmospheric circulation; Stratopause; Rossby wave; Physics; Mesosphere; El Niño Southern Oscillation; Precipitation; Meteorology; Geodesy","score_opus":0.011273437712139863,"score_gpt":0.2630122257790122,"score_spread":0.25173878806687233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170161526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939913,0.0002452344,0.001803473,0.00035135882,0.000059451075,0.000035870497,0.0010763018,0.00026404148,0.00217298],"genre_scores_gemma":[0.99811965,0.000049043654,0.0008494135,0.000041986164,0.000015349999,0.000027990054,0.0005349806,0.00002800036,0.0003335321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99958533,0.00021921031,0.000027199658,0.000064008294,0.000038244903,0.00006609626],"domain_scores_gemma":[0.9984377,0.0008360321,0.000195304,0.00011879579,0.00021246684,0.00019965218],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022254507,0.0015798798,0.0010244489,0.00080630527,0.00082002743,0.0013705513,0.0018940096,0.0018774826,0.0019247863],"category_scores_gemma":[0.0022151025,0.000619193,0.0020481602,0.0004447571,0.00056340947,0.0009550329,0.0011301521,0.0012076336,0.00026344723],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00040379423,0.00019509134,0.016852444,0.000045079934,0.00049728964,0.000115045514,0.000035258174,0.9778903,0.0015985366,0.00037544372,0.0004063111,0.0015854818],"study_design_scores_gemma":[0.0000667245,0.00019674907,0.0072715776,0.000009009414,0.00011617011,0.000011780854,0.0000424416,0.99152786,0.00040613473,0.00016783722,0.00016461953,0.000019166944],"about_ca_topic_score_codex":0.050296824,"about_ca_topic_score_gemma":0.028746346,"teacher_disagreement_score":0.050296824,"about_ca_system_score_codex":0.001469711,"about_ca_system_score_gemma":0.000969794,"threshold_uncertainty_score":0.10000813},"labels":[],"label_agreement":null},{"id":"W3170550139","doi":"10.1007/s00382-021-05828-3","title":"Seasonal prediction of European summer heatwaves","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"H2020 Marie Skłodowska-Curie Actions; Agence Nationale de la Recherche; European Commission; H2020 European Research Council; Ministerio de Ciencia, Innovación y Universidades","keywords":"Climatology; Environmental science; Robustness (evolution); Meteorology; Geography","score_opus":0.01947523700163289,"score_gpt":0.2306757602762744,"score_spread":0.2112005232746415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3170550139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97823286,0.00016858363,0.013509927,0.00014519892,0.000094406816,0.000025081414,0.005324522,0.0006689385,0.0018305508],"genre_scores_gemma":[0.99090225,0.000049570222,0.003988072,0.000021282547,0.000023175027,0.00001015764,0.0047223484,0.000036854042,0.0002463284],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997162,0.00006684665,0.000027752587,0.000105271916,0.000050648265,0.00003326197],"domain_scores_gemma":[0.9991284,0.0003007967,0.0001250053,0.00012892051,0.0002430839,0.000073788164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012615438,0.0005389821,0.00032584873,0.00059951784,0.00015953848,0.00071103824,0.0003453541,0.0005463215,0.00082262815],"category_scores_gemma":[0.0024042216,0.000102828875,0.00039800187,0.0006271561,0.00013656687,0.00059035775,0.00027104863,0.00042249783,0.00020387319],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053939986,0.00019878302,0.22406693,0.000100654775,0.00031046223,0.000119676166,0.00013174162,0.69064397,0.007822468,0.0011026015,0.005717001,0.069246314],"study_design_scores_gemma":[0.000037282964,0.00007577243,0.12475338,0.000021035345,0.000029907007,0.00002410707,0.00004712424,0.86989105,0.0028410503,0.00048630606,0.0017664272,0.00002661197],"about_ca_topic_score_codex":0.022519505,"about_ca_topic_score_gemma":0.010473489,"teacher_disagreement_score":0.022519505,"about_ca_system_score_codex":0.00030528253,"about_ca_system_score_gemma":0.00039259662,"threshold_uncertainty_score":0.044776857},"labels":[],"label_agreement":null},{"id":"W3172210147","doi":"10.1007/s00382-021-05852-3","title":"Urban-climate interactions during summer over eastern North America","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Precipitation; Environmental science; Climatology; Climate model; Urban climate; Climate change; Relative humidity; Urban heat island; Albedo (alchemy); Humidity; Urban climatology; Atmospheric sciences; Meteorology; Urbanization; Geography; Geology","score_opus":0.008775922248287459,"score_gpt":0.22818276741360308,"score_spread":0.2194068451653156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172210147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986078,0.00007812742,0.00003412542,0.00015539923,0.0000062052072,0.0000026475348,0.00021963805,0.0000036375181,0.0008924393],"genre_scores_gemma":[0.9991722,0.00006724591,0.000031592637,0.000025831136,0.000009534316,0.0000054564825,0.00021893527,0.0000021224546,0.00046710644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999889,0.000024288449,0.000004001134,0.000019759478,0.00001262847,0.000050242383],"domain_scores_gemma":[0.9997298,0.000054517262,0.00006701295,0.000009468865,0.000047753525,0.00009141058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002586929,0.00016012447,0.00022339741,0.00034687424,0.0010901495,0.0008450638,0.00026605572,0.00042045536,0.0027637596],"category_scores_gemma":[0.0004136559,0.00014055702,0.00016588625,0.0008370014,0.00044718667,0.00051885366,0.00070126227,0.0003086722,0.0001532213],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038816605,0.00016585918,0.97609293,0.00006129865,0.00011085628,0.0003249168,0.00859857,0.0012504869,0.002929527,0.0004642896,0.002712926,0.006900151],"study_design_scores_gemma":[0.0000018715136,0.000008454842,0.9951668,0.000003889403,0.0000063827315,0.000014419596,0.0036489458,0.00030704576,0.000038447342,0.00003170422,0.0007697051,0.0000023720095],"about_ca_topic_score_codex":0.19331495,"about_ca_topic_score_gemma":0.60836256,"teacher_disagreement_score":0.19331495,"about_ca_system_score_codex":0.0015099841,"about_ca_system_score_gemma":0.0008828747,"threshold_uncertainty_score":0.3843795},"labels":[],"label_agreement":null},{"id":"W3177409163","doi":"10.1007/s00382-021-05841-6","title":"A zonally-oriented teleconnection pattern induced by heating of the western Tibetan Plateau in boreal summer","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Teleconnection; Climatology; Rossby wave; Atmospheric circulation; Northern Hemisphere; Atmospheric sciences; Plateau (mathematics); Sensible heat; Jet stream; Latent heat; Environmental science; Geology; Radiative cooling; Meteorology; Geography; Jet (fluid); Physics","score_opus":0.013645206108075904,"score_gpt":0.24079016150979166,"score_spread":0.22714495540171575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3177409163","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938154,0.000019497744,0.00015087576,0.000016738233,0.000002545964,0.0000019438544,0.00011603092,0.00002311064,0.00028779148],"genre_scores_gemma":[0.9997545,0.00000793106,0.0000590953,0.000003102402,0.000002415425,0.0000016517528,0.00012772634,0.0000018110964,0.00004174971],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99995375,0.0000073671044,0.0000036903753,0.000016660106,0.0000075305693,0.000011002169],"domain_scores_gemma":[0.9998528,0.00002391677,0.00004956488,0.000012921759,0.00002680565,0.000033955326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013138336,0.00018079091,0.00011669067,0.0003545717,0.00020242357,0.00037884354,0.00017456149,0.00016325426,0.0008314018],"category_scores_gemma":[0.00029247193,0.00010385402,0.0002077848,0.00036769192,0.00024050272,0.00018744178,0.0001744465,0.00013949806,0.000053733667],"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":[0.00033811908,0.00012564845,0.8880613,0.000063418585,0.00016557799,0.0005240498,0.0004777759,0.027404943,0.07079452,0.0005565043,0.00067737995,0.010810687],"study_design_scores_gemma":[0.000019811401,0.00003661874,0.96991223,0.0000033907309,0.000014909702,0.000044968514,0.00009247854,0.02904042,0.0005608091,0.00007895698,0.00018897546,0.000006423821],"about_ca_topic_score_codex":0.019364957,"about_ca_topic_score_gemma":0.01420669,"teacher_disagreement_score":0.019364957,"about_ca_system_score_codex":0.00030996502,"about_ca_system_score_gemma":0.00018056178,"threshold_uncertainty_score":0.03850448},"labels":[],"label_agreement":null},{"id":"W3178779534","doi":"10.1007/s00382-021-05872-z","title":"Global oscillatory modes in high-end climate modeling and reanalyses","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Algorithm; Atmosphere (unit); Geopotential; Geopotential height; Geology; Climatology; Meteorology; Physics; Computer science","score_opus":0.01552361585989364,"score_gpt":0.25203841755345124,"score_spread":0.2365148016935576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3178779534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9351822,0.0007069297,0.036615353,0.0012086439,0.00017031035,0.000046184712,0.014849875,0.0023598091,0.008860643],"genre_scores_gemma":[0.97846,0.00027013925,0.010939013,0.00006006642,0.000060611474,0.000054411834,0.00846426,0.0002578272,0.0014335267],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997799,0.00008087094,0.00002099575,0.000053953412,0.000046138062,0.000018169387],"domain_scores_gemma":[0.9995233,0.00015966059,0.000057489488,0.00010933241,0.00012011641,0.00003019414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009302842,0.0002950235,0.00018109595,0.00045498772,0.00019651646,0.00082470017,0.00031008237,0.0003594538,0.001242015],"category_scores_gemma":[0.002766063,0.00018947553,0.0005136805,0.0009251517,0.00017825278,0.00053446303,0.00046739774,0.00038971138,0.00031638533],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017901376,0.00009432282,0.15448266,0.000092349146,0.00034328003,0.00013189894,0.00019605675,0.76992726,0.0033137104,0.0074899145,0.016099619,0.04764988],"study_design_scores_gemma":[0.00005824535,0.000020985612,0.09054305,0.00002953147,0.00006260099,0.000019080959,0.000063091196,0.8943754,0.0013743748,0.005045799,0.008369876,0.000038006052],"about_ca_topic_score_codex":0.03808564,"about_ca_topic_score_gemma":0.030233823,"teacher_disagreement_score":0.03808564,"about_ca_system_score_codex":0.00041435362,"about_ca_system_score_gemma":0.0005417314,"threshold_uncertainty_score":0.07572794},"labels":[],"label_agreement":null},{"id":"W3186987540","doi":"10.1007/s00382-021-05755-3","title":"Circulation adjustment in the Arctic and Atlantic in response to Greenland and Antarctic mass loss","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"European Commission","keywords":"Ocean gyre; Meltwater; Geology; Oceanography; Forcing (mathematics); Arctic; Advection; Algorithm; Climatology; Snow; Geomorphology; Physics; Computer science","score_opus":0.009132307558622956,"score_gpt":0.2179200434659605,"score_spread":0.20878773590733754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3186987540","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99910235,0.000019076366,0.000040429288,0.00004847685,0.0000074669856,0.0000033280414,0.0003815393,0.000011513547,0.00038574732],"genre_scores_gemma":[0.99889463,0.000019742332,0.00007300753,0.000042185067,0.0000032313753,0.000005479378,0.0005868875,0.0000048115494,0.0003701428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992454,0.000015788482,0.000004591101,0.000016048773,0.000010706031,0.00002823958],"domain_scores_gemma":[0.9998728,0.000021896774,0.000026783497,0.000013625871,0.000029206907,0.00003559346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023951623,0.00024546377,0.00022528657,0.00023758205,0.00022056852,0.0003565596,0.00015770445,0.00029328,0.00094199466],"category_scores_gemma":[0.0005228048,0.00009057953,0.00034268035,0.00022562857,0.00018506899,0.00015775635,0.00027710077,0.0002253725,0.00014282504],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0035066062,0.00060433254,0.7213052,0.00009148977,0.0007515067,0.0007166299,0.00052931305,0.09052943,0.161559,0.0010502922,0.00361333,0.015742851],"study_design_scores_gemma":[0.00005867203,0.00022234493,0.9660165,0.0000059457775,0.00006255011,0.00003754401,0.00022630948,0.027685333,0.0039938893,0.00016473427,0.00151033,0.000015920863],"about_ca_topic_score_codex":0.07314802,"about_ca_topic_score_gemma":0.05913821,"teacher_disagreement_score":0.07314802,"about_ca_system_score_codex":0.00089938345,"about_ca_system_score_gemma":0.00047722386,"threshold_uncertainty_score":0.14544451},"labels":[],"label_agreement":null},{"id":"W3192805761","doi":"10.1007/s00382-021-05913-7","title":"Checking for model consistency in optimal fingerprinting: a comment","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Ecology and Vegetation Dynamics Studies","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Estimator; Consistency (knowledge bases); Residual; Econometrics; Mathematics; Computer science; Rendering (computer graphics); Null hypothesis; Statistics; Applied mathematics; Algorithm; Artificial intelligence","score_opus":0.018988376992232107,"score_gpt":0.2664752577939711,"score_spread":0.24748688080173897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3192805761","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":[0.0063238987,0.0024529996,0.08253671,0.88373333,0.010324766,0.00013073502,0.00097537856,0.00079028873,0.012731876],"genre_scores_gemma":[0.27804226,0.0019863588,0.09744906,0.5828551,0.024883466,0.0007640029,0.00047344825,0.00085876347,0.012687582],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.90328944,0.047835354,0.008480152,0.017795712,0.020584555,0.002014817],"domain_scores_gemma":[0.38719842,0.5194879,0.011576438,0.033037152,0.046503227,0.0021968342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.10239969,0.001440442,0.002214837,0.0024331757,0.0036515966,0.005342511,0.0103702955,0.016974207,0.015507724],"category_scores_gemma":[0.5172671,0.0010638874,0.0035631845,0.0029869368,0.016082428,0.014710012,0.0065233335,0.027554827,0.004231204],"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":[0.00042215793,0.00009857243,0.0059621856,0.0006037389,0.00025140189,0.0008202056,0.0025717318,0.005196786,0.00083678483,0.57944274,0.3725272,0.031266466],"study_design_scores_gemma":[0.00030831448,0.00021969876,0.0034061165,0.0011114066,0.00017293711,0.0008078433,0.0016609256,0.02879103,0.0033016445,0.8127353,0.14714007,0.00034469622],"about_ca_topic_score_codex":0.02273592,"about_ca_topic_score_gemma":0.0070496956,"teacher_disagreement_score":0.10239969,"about_ca_system_score_codex":0.0057547055,"about_ca_system_score_gemma":0.006433087,"threshold_uncertainty_score":0.5415478},"labels":[],"label_agreement":null},{"id":"W3195907339","doi":"10.1007/s00382-021-05933-3","title":"Moisture budget analysis of extreme precipitation associated with different types of atmospheric rivers over western North America","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pacific Institute for Climate Solutions; University of Victoria","funders":"Key Technologies Research and Development Program; National Natural Science Foundation of China","keywords":"Precipitation; Climatology; Environmental science; Moisture; Magnitude (astronomy); Precipitation types; Flux (metallurgy); Wind speed; Atmospheric sciences; Geology; Meteorology; Geography","score_opus":0.009660913459075465,"score_gpt":0.21460175137389215,"score_spread":0.20494083791481668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195907339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994222,0.000018180166,0.00015291279,0.000030837033,0.0000018561921,0.0000026292394,0.00018188568,0.000010710169,0.00017887344],"genre_scores_gemma":[0.999403,0.000018915252,0.0001759178,0.000008039427,0.0000028723116,0.0000040134946,0.00024093867,0.000003828925,0.00014249749],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999354,0.000011827345,0.0000061094943,0.000025453071,0.000008135104,0.000013184682],"domain_scores_gemma":[0.99982697,0.000050480267,0.00004231466,0.00001119417,0.00004176564,0.00002740866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024634792,0.00021082736,0.00020742534,0.00042554107,0.00037508906,0.00044459794,0.00035521417,0.00037704257,0.00081410905],"category_scores_gemma":[0.00052055944,0.0002695858,0.00036034416,0.0005829361,0.00024126384,0.00042075026,0.00024095004,0.00020773745,0.00006224928],"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":[0.0004379299,0.00021386662,0.8638177,0.00007159162,0.0004478109,0.00033542735,0.00035730185,0.10497126,0.018037261,0.0005814208,0.0009094825,0.009818889],"study_design_scores_gemma":[0.00002982386,0.000035243324,0.8983065,0.0000049082378,0.00006207527,0.00004196623,0.00018926861,0.10007853,0.0007294996,0.00014122236,0.00036818197,0.000012883415],"about_ca_topic_score_codex":0.09570219,"about_ca_topic_score_gemma":0.1472452,"teacher_disagreement_score":0.09570219,"about_ca_system_score_codex":0.00082521664,"about_ca_system_score_gemma":0.0005165262,"threshold_uncertainty_score":0.19029033},"labels":[],"label_agreement":null},{"id":"W3209478623","doi":"10.1007/s00382-021-05998-0","title":"Spatial extent of precipitation events: when big is getting bigger","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Türkiye Bilimsel ve Teknolojik Araştırma Kurumu; European Commission","keywords":"Precipitation; Climatology; Environmental science; Global warming; Climate change; Function (biology); Meteorology; Atmospheric sciences; Geology; Geography","score_opus":0.016477300033235068,"score_gpt":0.24370769374710557,"score_spread":0.2272303937138705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209478623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989717,0.00086279906,0.001689446,0.0012591301,0.000041767522,0.000009637793,0.0015251188,0.00008628299,0.0048087877],"genre_scores_gemma":[0.9986313,0.00014065439,0.00037239472,0.000058879694,0.0000557859,0.000003985791,0.0004747781,0.000023209957,0.00023896519],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994822,0.000112455076,0.00005547168,0.00018943335,0.000089472764,0.00007094307],"domain_scores_gemma":[0.99075717,0.0049372707,0.0017025511,0.0010393817,0.0008540895,0.00070964906],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010566834,0.0001525385,0.0003947308,0.0011547056,0.00038304465,0.0018017672,0.00037044345,0.0004635584,0.0033624775],"category_scores_gemma":[0.00680444,0.00017946362,0.00036025967,0.0017287345,0.00084320735,0.0019947335,0.0013509644,0.0006753316,0.00032198188],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030178315,0.00003631283,0.9654967,0.00009825095,0.00019660752,0.00020580705,0.0010233474,0.004085995,0.0031267563,0.0018201293,0.0025475246,0.021060739],"study_design_scores_gemma":[0.000007709171,0.000016028604,0.99000823,0.000015936039,0.00005192267,0.00009743964,0.0008761179,0.0043920972,0.00046541743,0.002026193,0.0020294534,0.000013400985],"about_ca_topic_score_codex":0.0038228943,"about_ca_topic_score_gemma":0.0045525446,"teacher_disagreement_score":0.0038228943,"about_ca_system_score_codex":0.00026359796,"about_ca_system_score_gemma":0.00016909122,"threshold_uncertainty_score":0.011248589},"labels":[],"label_agreement":null},{"id":"W3216320095","doi":"10.1007/s00382-021-06039-6","title":"CMIP5 model evaluation for extreme ocean wave height responses to ENSO","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"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 Research Foundation of Korea; Ministry of Earth Sciences","keywords":"Climatology; El Niño Southern Oscillation; Environmental science; Coupled model intercomparison project; Climate model; Multivariate ENSO index; General Circulation Model; Atmospheric sciences; Climate change; Geology; La Niña; Oceanography","score_opus":0.07172219855241777,"score_gpt":0.2722465459808561,"score_spread":0.20052434742843836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216320095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94236803,0.00056812266,0.00888799,0.0012431329,0.0003446841,0.00014076906,0.025907744,0.003912506,0.016626947],"genre_scores_gemma":[0.97915214,0.00011635215,0.0052551874,0.0002438796,0.000038538143,0.00011090792,0.0132118035,0.00037916162,0.0014919544],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999629,0.00011196134,0.000034536628,0.00009478332,0.00005857161,0.00007103006],"domain_scores_gemma":[0.9987685,0.0005615975,0.00007760928,0.00013264683,0.00035626837,0.0001033025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015708356,0.0014132902,0.0007644803,0.0008340906,0.00086444715,0.0010235622,0.0022641271,0.0018840565,0.005209262],"category_scores_gemma":[0.0038870678,0.0006563447,0.0011030061,0.0009936889,0.00042164404,0.001197753,0.0006415864,0.0010495206,0.0010043507],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004450133,0.0001514743,0.008029878,0.00013550761,0.00022063566,0.00011818135,0.000043204644,0.97704095,0.0011928169,0.0010160047,0.0060626976,0.005543652],"study_design_scores_gemma":[0.00018253122,0.00008020754,0.0041701663,0.000019949115,0.000054231397,0.000018196626,0.00004519701,0.99291646,0.0013005232,0.00026373912,0.0009205795,0.00002821156],"about_ca_topic_score_codex":0.11799994,"about_ca_topic_score_gemma":0.055207904,"teacher_disagreement_score":0.11799994,"about_ca_system_score_codex":0.00167279,"about_ca_system_score_gemma":0.0018794243,"threshold_uncertainty_score":0.23462623},"labels":[],"label_agreement":null},{"id":"W32892007","doi":"10.1007/s00382-002-0264-6","title":"Sensitivity of a regional climate model to the resolution of the lateral boundary conditions","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Boundary (topology); Brother; Sensitivity (control systems); Interval (graph theory); Scale (ratio); Nesting (process); Climate model; Domain (mathematical analysis); Meteorology; Climatology; Geology; Environmental science; Computer science; Climate change; Mathematics; Geography; Cartography; Mathematical analysis; Combinatorics","score_opus":0.020619509013557864,"score_gpt":0.2504142488030484,"score_spread":0.22979473978949055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W32892007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98820484,0.00023802165,0.007031966,0.00089150626,0.00008317518,0.000018782352,0.00080170104,0.00023291957,0.0024970279],"genre_scores_gemma":[0.99780816,0.000069960006,0.0014290194,0.00007026457,0.000016591985,0.000010447194,0.00033858448,0.000048360896,0.00020869695],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99936134,0.00035304285,0.00002812619,0.00013951221,0.000040655388,0.00007742707],"domain_scores_gemma":[0.9958586,0.002812686,0.00029694964,0.00037347095,0.00041654438,0.00024179163],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030162253,0.0006806818,0.00088612945,0.00038649334,0.00075916253,0.001503487,0.0013820075,0.0016681532,0.0016419088],"category_scores_gemma":[0.009592481,0.0007003426,0.0009010865,0.00060522713,0.0010505074,0.0016332647,0.0008785789,0.0016915856,0.0002113571],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019299822,0.000036784088,0.0040251357,0.000011450944,0.00007037127,0.000019342673,0.000019760131,0.99289215,0.0007788625,0.0008028677,0.0003465727,0.00080385566],"study_design_scores_gemma":[0.00004631249,0.000024735162,0.0014024634,0.0000024241858,0.000034933437,0.0000050917383,0.0000132166415,0.99743396,0.00048528129,0.0004364211,0.00010299656,0.000012225307],"about_ca_topic_score_codex":0.072280355,"about_ca_topic_score_gemma":0.031241203,"teacher_disagreement_score":0.072280355,"about_ca_system_score_codex":0.0021931536,"about_ca_system_score_gemma":0.0013666376,"threshold_uncertainty_score":0.14371926},"labels":[],"label_agreement":null},{"id":"W4200383643","doi":"10.1007/s00382-021-06080-5","title":"Correction to: Tree-ring cellulose δ18O records similar large-scale climate influences as precipitation δ18O in the Northwest Territories of Canada","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Center for Northern Studies; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Montréal; Western University","funders":"","keywords":"Precipitation; Dendrochronology; δ18O; Climatology; Scale (ratio); Climate change; Physical geography; Geology; Environmental science; Geography; Stable isotope ratio; Meteorology; Cartography; Paleontology; Oceanography; Physics","score_opus":0.010965715516228762,"score_gpt":0.22820264410794208,"score_spread":0.2172369285917133,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200383643","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0011751747,0.0013428432,0.00093035493,0.019401303,0.9482738,0.00008503821,0.023725847,0.0011969258,0.0038687494],"genre_scores_gemma":[0.0989802,0.0073782755,0.0139962,0.038226206,0.2077487,0.0007392298,0.05350849,0.008407432,0.5710153],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972459,0.00017416241,0.00047761636,0.00047979562,0.00101149,0.00061106996],"domain_scores_gemma":[0.9607172,0.0020943983,0.0011103493,0.0023913353,0.031781286,0.0019054196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026013176,0.0025602193,0.0032892379,0.006128291,0.0044308826,0.004153103,0.004787957,0.003829721,0.1353903],"category_scores_gemma":[0.032644678,0.0016389824,0.0026960084,0.007441956,0.0017477734,0.0021976512,0.0021987485,0.005655187,0.03326865],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041659012,0.0000048396855,0.00038982075,0.00016141174,0.000026496904,0.0000626172,0.000043418277,0.00010706539,0.0000537748,0.00026090175,0.9947212,0.0041269576],"study_design_scores_gemma":[0.00024102088,0.000016246344,0.019841325,0.0004127595,0.00011815382,0.0003140257,0.00041771462,0.00095417787,0.00051225093,0.000987414,0.9760729,0.00011201396],"about_ca_topic_score_codex":0.5802658,"about_ca_topic_score_gemma":0.64225703,"teacher_disagreement_score":0.41973418,"about_ca_system_score_codex":0.009579772,"about_ca_system_score_gemma":0.01986562,"threshold_uncertainty_score":0.84441215},"labels":[],"label_agreement":null},{"id":"W4205441939","doi":"10.1007/s00382-022-06141-3","title":"Global tree-ring response and inferred climate variation following the mid-thirteenth century Samalas eruption","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climatology; Paleoclimatology; Volcano; Dendrochronology; Dendroclimatology; Climate change; Northern Hemisphere; Geology; Precipitation; Proxy (statistics); Vulcanian eruption; Climate model; Latitude; Middle latitudes; Physical geography; Geography; Oceanography; Meteorology","score_opus":0.010832774114827463,"score_gpt":0.23625290209776334,"score_spread":0.22542012798293587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205441939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987212,0.000040533407,0.00005973431,0.000005275943,0.0000014262329,0.0000011730598,0.0009049825,0.0000065352306,0.0002590816],"genre_scores_gemma":[0.9987301,0.00002647845,0.000078115976,0.0000016550453,0.0000031936136,0.0000017365184,0.0010925962,0.0000021858395,0.00006393602],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999206,0.000019137617,0.000006407261,0.000024819114,0.000009960045,0.000018971672],"domain_scores_gemma":[0.99942905,0.00013592788,0.00019057824,0.000065065025,0.00010987774,0.000069401336],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041828817,0.00015859432,0.00014320483,0.0012724833,0.00021097959,0.0004291921,0.00016004159,0.00013962676,0.0014887899],"category_scores_gemma":[0.000713474,0.00008208331,0.00020414572,0.0010053416,0.00014641816,0.00021868158,0.00020565024,0.00010977164,0.00030315746],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006582949,0.000007825914,0.99417686,0.000011737618,0.000075580196,0.000046561916,0.0001469937,0.0005391643,0.0021070952,0.000046178073,0.00012652617,0.0026496982],"study_design_scores_gemma":[7.391765e-7,0.000008882914,0.9991899,0.0000012052102,0.000007836633,0.000023318256,0.000060498416,0.00041996047,0.00014225749,0.000007983222,0.0001362855,0.0000012085918],"about_ca_topic_score_codex":0.0059195366,"about_ca_topic_score_gemma":0.009355024,"teacher_disagreement_score":0.0059195366,"about_ca_system_score_codex":0.00016973446,"about_ca_system_score_gemma":0.00008479373,"threshold_uncertainty_score":0.011770189},"labels":[],"label_agreement":null},{"id":"W4206664758","doi":"10.1007/s00382-021-06097-w","title":"Correction to: Deep mixed ocean volume in the Labrador Sea in HighResMIP models","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geological Studies and Exploration","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deep sea; Climatology; Volume (thermodynamics); Geology; Oceanography","score_opus":0.016791993223841284,"score_gpt":0.2047485539123932,"score_spread":0.1879565606885519,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206664758","genre_codex":"editorial","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":[0.0011988172,0.00078681746,0.0023077317,0.02046538,0.9454809,0.000047083333,0.022998458,0.0028668805,0.0038478463],"genre_scores_gemma":[0.14013699,0.0055431435,0.026434908,0.03580042,0.28962806,0.000845294,0.08767105,0.026412193,0.38752797],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967673,0.00041598835,0.00053302775,0.00064740144,0.0012458906,0.00039036584],"domain_scores_gemma":[0.96103185,0.0071130223,0.001837436,0.0036662815,0.024183098,0.0021682838],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002931291,0.002370405,0.0027291402,0.0056319204,0.0021507884,0.0047518383,0.0047498452,0.0042595533,0.19945091],"category_scores_gemma":[0.05514783,0.0013375436,0.0021171586,0.005560791,0.00140869,0.0035361836,0.0033891825,0.006395422,0.05866653],"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":[0.000041810785,0.000004739922,0.0002640319,0.0001338287,0.000026032085,0.00007018422,0.000018111265,0.00035785092,0.000050446422,0.0004855537,0.9952727,0.003274707],"study_design_scores_gemma":[0.0003714897,0.000034361492,0.007494522,0.00054886675,0.00009164016,0.0003864035,0.000247457,0.004760697,0.0010064113,0.003977436,0.9809126,0.0001681239],"about_ca_topic_score_codex":0.040568534,"about_ca_topic_score_gemma":0.050357375,"teacher_disagreement_score":0.19945091,"about_ca_system_score_codex":0.0029874214,"about_ca_system_score_gemma":0.0046409094,"threshold_uncertainty_score":0.6672298},"labels":[],"label_agreement":null},{"id":"W4210474775","doi":"10.1007/s00382-022-06156-w","title":"AMOC modes linked with distinct North Atlantic deep water formation sites","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Alfred Wegener Institute Helmholtz Centre for Polar and Marine Research; Alexander von Humboldt-Stiftung","keywords":"Atlantic multidecadal oscillation; North Atlantic Deep Water; North Atlantic oscillation; Climatology; Shutdown of thermohaline circulation; Thermohaline circulation; Oceanography; Atlantic Equatorial mode; Geology; Deep water; Gulf Stream; Ocean current; Centennial; Geography","score_opus":0.01066250500696806,"score_gpt":0.1992841290131828,"score_spread":0.18862162400621474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210474775","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982344,0.00003331411,0.00055008125,0.000017868973,0.0000039992856,0.000004528475,0.0002672695,0.000024431958,0.00086407276],"genre_scores_gemma":[0.9996045,0.0000089357545,0.00010643565,0.0000018567395,0.0000021545109,0.0000021357046,0.00016456157,0.0000021521184,0.00010729293],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999435,0.000007109507,0.000004405805,0.000018955105,0.00000963386,0.000016315595],"domain_scores_gemma":[0.99966776,0.00006616675,0.00009283432,0.00002802625,0.00007082933,0.000074490745],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001402701,0.00015097886,0.000116330826,0.00060539733,0.0001688167,0.00039941998,0.00013421637,0.00013427653,0.0014360346],"category_scores_gemma":[0.0004939653,0.00007757501,0.00016913976,0.0003928759,0.00015947627,0.00015994074,0.00035139188,0.00013147309,0.00010605453],"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":[0.00022098837,0.000042178905,0.95862675,0.00003402542,0.00005657639,0.000107223765,0.00019702257,0.0048078424,0.023519494,0.0012809656,0.00055288605,0.010554084],"study_design_scores_gemma":[0.000008191384,0.000022181668,0.9830567,0.0000047921017,0.000013831116,0.000037593793,0.000083131265,0.014836359,0.00093441724,0.000488996,0.0005058098,0.000008063173],"about_ca_topic_score_codex":0.007112365,"about_ca_topic_score_gemma":0.0061317217,"teacher_disagreement_score":0.007112365,"about_ca_system_score_codex":0.0002224416,"about_ca_system_score_gemma":0.00013917004,"threshold_uncertainty_score":0.014141917},"labels":[],"label_agreement":null},{"id":"W4210959524","doi":"10.1007/s00382-019-04958-z","title":"North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends","year":2019,"lang":"en","type":"review","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":138,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Division of Atmospheric and Geospace Sciences","keywords":"Climatology; Extratropical cyclone; Precipitation; Predictability; Environmental science; Mesoscale meteorology; Orographic lift; Forcing (mathematics); Orography; Climate model; Meteorology; Climate change; Geography; Geology","score_opus":0.049562257569612564,"score_gpt":0.3514430007413763,"score_spread":0.3018807431717637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210959524","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004010897,0.93646663,0.052128635,0.003119131,0.000734188,0.00010906196,0.0011756019,0.00022930076,0.0020265395],"genre_scores_gemma":[0.026721632,0.93960077,0.028511629,0.00061135646,0.0024227593,0.00028250198,0.0012937849,0.000073268544,0.00048240455],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99773586,0.0007236719,0.00043124525,0.00045255295,0.00060217775,0.00005446423],"domain_scores_gemma":[0.98509663,0.0109015815,0.0014668722,0.0004075323,0.0019331474,0.00019420845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008163191,0.001041645,0.0016140606,0.008096031,0.00044201175,0.00248305,0.0013212545,0.00069765135,0.0012280716],"category_scores_gemma":[0.01241396,0.00057305594,0.0014656186,0.013055724,0.0011337844,0.002412275,0.0009895052,0.0017359441,0.0005349332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065295906,0.00014185296,0.025585523,0.008756202,0.00062465447,0.00011291421,0.00023809585,0.006216035,0.0007378346,0.013689208,0.019688617,0.92414373],"study_design_scores_gemma":[0.000080459096,0.00050970475,0.13598645,0.021252742,0.0017707504,0.0017054769,0.0012853387,0.071974106,0.002551975,0.09306031,0.66930944,0.00051326613],"about_ca_topic_score_codex":0.005742877,"about_ca_topic_score_gemma":0.004705428,"teacher_disagreement_score":0.008163191,"about_ca_system_score_codex":0.0010540878,"about_ca_system_score_gemma":0.0024139853,"threshold_uncertainty_score":0.043171644},"labels":[],"label_agreement":null},{"id":"W4220922787","doi":"10.1007/s00382-022-06227-y","title":"Lengthening of warm periods increased the intensity of warm-season marine heatwaves over the past 4 decades","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Coral and Marine Ecosystems Studies","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental science; Climatology; Climate change; Coral reef; Marine ecosystem; Coral; Effects of global warming on oceans; Oceanography; Sea surface temperature; Heat stress; Reef; Intensity (physics); Ecosystem; Global warming; Atmospheric sciences; Geology; Ecology; Biology","score_opus":0.007714199181287432,"score_gpt":0.2113897751185521,"score_spread":0.20367557593726465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220922787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916011,0.0028890057,0.0007923556,0.00029413495,0.00006463962,0.000006010891,0.0011441783,0.000027966133,0.0031806258],"genre_scores_gemma":[0.99770904,0.0008690506,0.000214223,0.00006933875,0.000073281306,0.0000046739488,0.00037588985,0.000008175725,0.00067624147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99981874,0.000025625797,0.000020773788,0.00006387942,0.00002410898,0.00004693882],"domain_scores_gemma":[0.9988726,0.00025478023,0.00052226457,0.00008029656,0.00013725527,0.00013275532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053564546,0.00018496277,0.00021548994,0.00074807287,0.00036603777,0.0007278829,0.00018271296,0.00045035034,0.0050896984],"category_scores_gemma":[0.0013536105,0.00014177387,0.00044988113,0.0011548669,0.00026175124,0.00056102645,0.00051300525,0.0004825665,0.00028527604],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002759199,0.000022069791,0.962671,0.00018303753,0.00027793174,0.00010950108,0.00066734775,0.000665689,0.0057361796,0.0003865013,0.000625151,0.028379764],"study_design_scores_gemma":[0.00000122856,0.00001233181,0.99830496,0.000012867092,0.000029465542,0.000033683675,0.00014560268,0.000079180245,0.00016977024,0.000037174228,0.0011721589,0.0000017848494],"about_ca_topic_score_codex":0.0095529,"about_ca_topic_score_gemma":0.017951913,"teacher_disagreement_score":0.0095529,"about_ca_system_score_codex":0.00038823852,"about_ca_system_score_gemma":0.00033610247,"threshold_uncertainty_score":0.01899457},"labels":[],"label_agreement":null},{"id":"W4225157655","doi":"10.1007/s00382-022-06272-7","title":"The effects of bias, drift, and trends in calculating anomalies for evaluating skill of seasonal-to-decadal initialized climate predictions","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"European Commission; Met Office; U.S. Department of Energy; Agencia Estatal de Investigación; Office of Science; Department for Environment, Food and Rural Affairs, UK Government; National Center for Atmospheric Research; National Science Foundation","keywords":"Hindcast; Climatology; Forecast skill; Anomaly (physics); Environmental science; Econometrics; Statistics; Geology; Mathematics; Physics","score_opus":0.021837437592638186,"score_gpt":0.3045906273364197,"score_spread":0.2827531897437815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225157655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8850922,0.0008483689,0.109609544,0.00024282662,0.00014086143,0.00011519187,0.0010022154,0.0006421419,0.0023067151],"genre_scores_gemma":[0.9419767,0.00026439532,0.05577523,0.000113308844,0.000044374538,0.00008656107,0.0008158427,0.0003813199,0.000542221],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99600214,0.0021637508,0.00062127,0.000381967,0.00066650193,0.00016431916],"domain_scores_gemma":[0.9496901,0.038401358,0.0023780295,0.0030755035,0.0059290756,0.0005259434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.019201776,0.0005594848,0.00046464623,0.0011730348,0.0005300286,0.0010584787,0.0005270115,0.0007849486,0.00056107965],"category_scores_gemma":[0.08504432,0.00035170052,0.0006712241,0.001224995,0.0005568025,0.001726317,0.0007689287,0.0008141769,0.00016196935],"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":[0.0013868994,0.0002989693,0.6160028,0.00025080435,0.0008807256,0.00023779558,0.00042195743,0.24310358,0.019235803,0.0031898697,0.001472328,0.11351843],"study_design_scores_gemma":[0.00011872453,0.0006181859,0.21657376,0.00015363112,0.0004264102,0.00027023058,0.00020204563,0.7425873,0.03564609,0.0018079105,0.0014947515,0.0001009774],"about_ca_topic_score_codex":0.016554752,"about_ca_topic_score_gemma":0.022305643,"teacher_disagreement_score":0.019201776,"about_ca_system_score_codex":0.0006962263,"about_ca_system_score_gemma":0.0014395446,"threshold_uncertainty_score":0.101549864},"labels":[],"label_agreement":null},{"id":"W4225463272","doi":"10.1007/s00382-022-06265-6","title":"High-resolution modelling of climatic hazards relevant for Canada’s northern transportation sector","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Trottier Institute for Sustainability in Engineering and Design; Transport Canada","keywords":"Environmental science; Permafrost; Arctic; Climatology; Climate model; Climate change; Extreme weather; Hazard; Wind speed; Meteorology; Geography; Geology","score_opus":0.026769779432017738,"score_gpt":0.20726353731298347,"score_spread":0.18049375788096572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225463272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94703287,0.0007232247,0.0069864984,0.0031086614,0.00016978105,0.00008000807,0.010647004,0.0006314548,0.030620473],"genre_scores_gemma":[0.9931813,0.00023588735,0.0021821705,0.000082908475,0.000019842908,0.000019852714,0.0018671361,0.00006849209,0.0023423366],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997569,0.00003234419,0.000008590045,0.000042797063,0.000052638527,0.00010671787],"domain_scores_gemma":[0.99940145,0.00013819017,0.00004500103,0.0000385744,0.00023494722,0.00014178656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039192502,0.0005302719,0.0005482555,0.0005657352,0.0021022593,0.0026701526,0.0018327362,0.0015555264,0.004228494],"category_scores_gemma":[0.0016382086,0.00048743436,0.0006312239,0.0015029594,0.00086583535,0.0008912261,0.0006844798,0.0015295917,0.00033554184],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006369896,0.00007961164,0.010675171,0.00003077315,0.00004639146,0.000103837105,0.000071782495,0.9813603,0.0005965249,0.0018597652,0.0025374359,0.0025747598],"study_design_scores_gemma":[0.000039498587,0.0000077296545,0.01142558,0.000011888174,0.000017347296,0.000011824832,0.00020096148,0.9853103,0.00022020713,0.00061739836,0.002105991,0.000031247953],"about_ca_topic_score_codex":0.97763103,"about_ca_topic_score_gemma":0.9733691,"teacher_disagreement_score":0.022368968,"about_ca_system_score_codex":0.016394956,"about_ca_system_score_gemma":0.02121694,"threshold_uncertainty_score":0.1189543},"labels":[],"label_agreement":null},{"id":"W4235654657","doi":"10.1007/s00382-021-05961-z","title":"Different climatic effects of the Arctic and Antarctic ice covers on land surface temperature in the Northern Hemisphere: application of Liang-Kleeman information flow method and CAM4.0","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bedford Institute of Oceanography; Fisheries and Oceans Canada","funders":"","keywords":"Climatology; Sea ice; Arctic ice pack; Cryosphere; Atmospheric circulation; Northern Hemisphere; Arctic geoengineering; Antarctic sea ice; Arctic sea ice decline; Arctic; Ice-albedo feedback; Geology; Environmental science; Drift ice; Atmospheric sciences; Arctic dipole anomaly; Lead (geology); Oceanography","score_opus":0.0025796449608393554,"score_gpt":0.19264174559724395,"score_spread":0.1900621006364046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235654657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935182,0.00018031699,0.002825539,0.00007214354,0.000022882905,0.000009693057,0.0008576974,0.000114439514,0.002399079],"genre_scores_gemma":[0.99741,0.00007699128,0.0016839936,0.000008415746,0.000009667979,0.000008427664,0.0005564267,0.000023654053,0.00022252176],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998648,0.00006781752,0.000006840364,0.000028489723,0.000015319505,0.000016732025],"domain_scores_gemma":[0.99964285,0.00022343354,0.000023920553,0.00002254035,0.000060224193,0.000027095173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008411759,0.00024039976,0.00019513047,0.00055804814,0.00021003323,0.00045526205,0.00020904448,0.00026052006,0.0010549839],"category_scores_gemma":[0.0011663946,0.00014748434,0.0005084734,0.0008021914,0.00016602801,0.00045825873,0.00017634922,0.00017192084,0.00009312373],"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":[0.0012744912,0.00022998387,0.648657,0.0002603084,0.0005725483,0.00033673097,0.00070168945,0.23614578,0.0126181245,0.0036328575,0.0029087495,0.092661746],"study_design_scores_gemma":[0.00008418975,0.000042648,0.71002275,0.000025153708,0.0001969725,0.000031129424,0.00024232882,0.28560477,0.0020068022,0.0005960609,0.001113066,0.00003417353],"about_ca_topic_score_codex":0.0575188,"about_ca_topic_score_gemma":0.05366343,"teacher_disagreement_score":0.0575188,"about_ca_system_score_codex":0.00041836812,"about_ca_system_score_gemma":0.0005567802,"threshold_uncertainty_score":0.11436802},"labels":[],"label_agreement":null},{"id":"W4236932412","doi":"10.1007/s00382-004-0438-5","title":"Testing the downscaling ability of a one-way nested regional climate model in regions of complex topography","year":2004,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Canadian Foundation for Climate and Atmospheric Sciences; Université du Québec à Montréal","keywords":"Downscaling; Climatology; Nested set model; Climate model; Forcing (mathematics); Environmental science; Climate change; Precipitation; Scale (ratio); Geology; Meteorology; Geography; Computer science; Cartography","score_opus":0.07423226359009175,"score_gpt":0.26998833794930177,"score_spread":0.19575607435921002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236932412","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99513865,0.000029438857,0.003897602,0.00017998333,0.000017128941,0.000009971919,0.000108440625,0.00007411465,0.0005447966],"genre_scores_gemma":[0.99674475,0.000019227444,0.0028979674,0.000026301535,0.0000075718085,0.000007029013,0.00015239701,0.000025754254,0.000118958196],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9992482,0.00038595914,0.00005918683,0.00018649442,0.00004454684,0.000075531425],"domain_scores_gemma":[0.9877386,0.009438694,0.00069942354,0.0009641524,0.00066984474,0.0004892405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038884417,0.0007108146,0.0006300873,0.00027053358,0.00066281395,0.0009038041,0.0013188117,0.001352883,0.0012789335],"category_scores_gemma":[0.018825818,0.0005693538,0.0008913704,0.0003395155,0.0009186639,0.002195909,0.0008969637,0.0013176084,0.00014933519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046041195,0.00022286012,0.018128222,0.000030981766,0.00014163798,0.000046722933,0.000115548755,0.974466,0.0011285318,0.0010623903,0.0002473966,0.003949334],"study_design_scores_gemma":[0.000053636533,0.000058755828,0.00141767,0.0000024774308,0.00002108537,0.000005080925,0.000030860883,0.9977087,0.00037878568,0.0002823186,0.000034577748,0.0000061205883],"about_ca_topic_score_codex":0.06504952,"about_ca_topic_score_gemma":0.030436404,"teacher_disagreement_score":0.06504952,"about_ca_system_score_codex":0.00095691095,"about_ca_system_score_gemma":0.0015464511,"threshold_uncertainty_score":0.12934178},"labels":[],"label_agreement":null},{"id":"W4240371489","doi":"10.1007/s00382-003-0358-9","title":"Characterizing and comparing the control-run variability of eight coupled AOGCMs and of observations. Part 2: precipitation","year":2003,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"demographic modeling and climate adaptation","field":"Decision Sciences","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Empirical orthogonal functions; Climatology; Precipitation; Amplitude; Oscillation (cell signaling); North Atlantic oscillation; El Niño Southern Oscillation; Environmental science; Latitude; Spatial variability; Climate model; Geology; Atmospheric sciences; Climate change; Physics; Meteorology; Mathematics; Geodesy; Statistics; Oceanography; Chemistry","score_opus":0.08167319874970967,"score_gpt":0.3109817792224673,"score_spread":0.2293085804727576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4240371489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973991,0.0000616904,0.0014778506,0.00003499717,0.000007731967,0.000010405005,0.00043475442,0.000042906307,0.00053052395],"genre_scores_gemma":[0.99827576,0.000019032337,0.0008077747,0.000006148564,0.0000057576117,0.000011101463,0.0007219914,0.000009864434,0.00014257968],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99984765,0.00003735049,0.0000100862335,0.00005537967,0.000019729288,0.000029674675],"domain_scores_gemma":[0.9989003,0.00062622764,0.00010346423,0.00015410098,0.00014599077,0.0000698307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069606747,0.00029973147,0.0002191696,0.00051097776,0.00026731915,0.000624104,0.00036198428,0.00039577886,0.00045815346],"category_scores_gemma":[0.0027547784,0.0002434542,0.00036104565,0.0005693088,0.0002131839,0.0004360627,0.00030220026,0.00030067598,0.00007223602],"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":[0.0010517879,0.00042811918,0.6724857,0.000098575314,0.0007900926,0.00013642147,0.00041841663,0.25624755,0.017971778,0.0018166959,0.001924876,0.046630006],"study_design_scores_gemma":[0.00008895739,0.00010074543,0.69607127,0.0000073163014,0.00019159773,0.000054108943,0.00015307133,0.29647794,0.004778594,0.0007632145,0.0012796391,0.000033558325],"about_ca_topic_score_codex":0.038796414,"about_ca_topic_score_gemma":0.037816368,"teacher_disagreement_score":0.038796414,"about_ca_system_score_codex":0.0004529268,"about_ca_system_score_gemma":0.0003948516,"threshold_uncertainty_score":0.077141225},"labels":[],"label_agreement":null},{"id":"W4245846053","doi":"10.1007/s00382-011-1175-1","title":"Statistical downscaling of historical monthly mean winds over a coastal region of complex terrain. II. Predicting wind components","year":2011,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Pacific Institute for Climate Solutions","funders":"Canadian Foundation for Climate and Atmospheric Sciences","keywords":"Downscaling; Terrain; Climatology; Wind speed; Environmental science; Wind direction; Prevailing winds; Maximum sustained wind; Global wind patterns; Meteorology; Wind stress; Principal component analysis; Range (aeronautics); Geology; Precipitation; Wind gradient; Geography; Statistics; Mathematics","score_opus":0.045269012288331814,"score_gpt":0.24181840057812798,"score_spread":0.19654938828979618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4245846053","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882188,0.00013935982,0.008953791,0.00013032349,0.000044824515,0.00001832912,0.0012427712,0.00016073202,0.0010911468],"genre_scores_gemma":[0.9910874,0.00013612615,0.0063078706,0.000013451028,0.000025509578,0.000015645412,0.0018761822,0.000048474085,0.00048939127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999293,0.0000134447355,0.000008014479,0.000019002708,0.000017862822,0.000012399154],"domain_scores_gemma":[0.9994653,0.00016316572,0.000094355484,0.00009836733,0.00014575981,0.000033056032],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030898457,0.00030198367,0.0002043389,0.00044767352,0.00028829926,0.0003827067,0.00040033946,0.00029732112,0.0006885473],"category_scores_gemma":[0.0017553846,0.00024263735,0.00035490145,0.0007430536,0.00020334551,0.00039273006,0.00020038092,0.00045389368,0.00021316866],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026168156,0.0002541966,0.20163974,0.0000871672,0.00015594845,0.00021009748,0.00013065494,0.71271473,0.008278708,0.0012877028,0.004123307,0.07085604],"study_design_scores_gemma":[0.000026764965,0.000038008664,0.19016698,0.000010346562,0.000030633844,0.000035665642,0.00006941529,0.8059192,0.0022728543,0.00047490172,0.00094054,0.000014686761],"about_ca_topic_score_codex":0.035287943,"about_ca_topic_score_gemma":0.05465746,"teacher_disagreement_score":0.035287943,"about_ca_system_score_codex":0.0003011433,"about_ca_system_score_gemma":0.00048333182,"threshold_uncertainty_score":0.0701651},"labels":[],"label_agreement":null},{"id":"W4250986252","doi":"10.1007/s00382-012-1387-z","title":"Climate simulation over CORDEX Africa domain using the fifth-generation Canadian Regional Climate Model (CRCM5)","year":2012,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":103,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Canada Research Chairs; Canadian Foundation for Climate and Atmospheric Sciences; Ministère du Développement Économique, de l’Innovation et de l’Exportation","keywords":"Climatology; Precipitation; Equator; Hadley cell; Climate model; Diurnal cycle; Monsoon; Environmental science; Magnitude (astronomy); Intertropical Convergence Zone; Walker circulation; Atmospheric sciences; Climate change; Geology; General Circulation Model; Sea surface temperature; Geography; Meteorology; Latitude; Physics","score_opus":0.057769728532562396,"score_gpt":0.27736947719741883,"score_spread":0.21959974866485643,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250986252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94184875,0.0006537837,0.0030846824,0.00076829223,0.00017250906,0.00016527578,0.018402671,0.0008775633,0.034026455],"genre_scores_gemma":[0.98050094,0.00023163045,0.0060056364,0.00015142876,0.000025549562,0.000101128564,0.0074674096,0.00006719502,0.005449105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998677,0.000025396961,0.000005117625,0.00003264255,0.000025094783,0.000044035074],"domain_scores_gemma":[0.99965274,0.000056385754,0.000021313426,0.000017538852,0.00018869928,0.000063381696],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002796489,0.0006869756,0.0005122369,0.00044603785,0.00085290225,0.0006818982,0.0011579798,0.00073292514,0.006252641],"category_scores_gemma":[0.0008271501,0.00022273617,0.00042079276,0.0007049967,0.00034322,0.0003297372,0.00042692234,0.0005870048,0.00036832446],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00049218105,0.00017265501,0.028667752,0.00016374531,0.00011829908,0.00045487584,0.00014026169,0.9426898,0.0017667864,0.0038352287,0.011716376,0.009782119],"study_design_scores_gemma":[0.00029615176,0.00004530219,0.018619644,0.000026097929,0.00004025588,0.00003935404,0.00011928823,0.9711449,0.0009718901,0.00032269835,0.00833856,0.0000358076],"about_ca_topic_score_codex":0.8317603,"about_ca_topic_score_gemma":0.7658175,"teacher_disagreement_score":0.8317603,"about_ca_system_score_codex":0.0050128144,"about_ca_system_score_gemma":0.0048170914,"threshold_uncertainty_score":0.33846098},"labels":[],"label_agreement":null},{"id":"W4253744032","doi":"10.1007/s00382-021-05962-y","title":"Trends, variability and predictive skill of the ocean heat content in North Atlantic: an analysis with the EC-Earth3 model","year":2021,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Horizon 2020 Framework Programme; Ministerio de Economía y Competitividad; Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España; Fundação para a Ciência e a Tecnologia; European Commission","keywords":"Climatology; Atlantic multidecadal oscillation; Climate model; Gulf Stream; Tropical Atlantic; Subtropics; Climate change; Atlantic hurricane; Environmental science; Coupled model intercomparison project; Oceanography; North Atlantic oscillation; Sea surface temperature; Geology","score_opus":0.012247528125452536,"score_gpt":0.2126040914563002,"score_spread":0.20035656333084764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253744032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99716586,0.000071860144,0.00074425986,0.00006877232,0.000008476295,0.000004427464,0.0012917629,0.00006944602,0.0005750936],"genre_scores_gemma":[0.9974443,0.000029373308,0.00041235116,0.000010369279,0.000004954156,0.0000053523386,0.0019575148,0.000017179946,0.000118593074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99983335,0.00004305157,0.000016367998,0.000055002492,0.00002915024,0.00002305046],"domain_scores_gemma":[0.99892884,0.000607445,0.00008372095,0.00015433248,0.00016744516,0.000058200458],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001106194,0.00041706662,0.0002973792,0.00034122315,0.00019402492,0.000603483,0.00047405448,0.00043437516,0.00090956973],"category_scores_gemma":[0.0020113804,0.0001870087,0.00076543266,0.00050419726,0.0002379191,0.0005027786,0.0003370209,0.00046325376,0.00016191993],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048815738,0.00015730833,0.35908175,0.000079991405,0.0005733919,0.00018180862,0.00008165144,0.61925274,0.005084946,0.0005235731,0.0018453094,0.012649453],"study_design_scores_gemma":[0.000044547323,0.000091885435,0.22086369,0.000012002116,0.00010186487,0.000032610667,0.00006269174,0.7760277,0.0018496898,0.00019926872,0.0006878984,0.000026136047],"about_ca_topic_score_codex":0.038190696,"about_ca_topic_score_gemma":0.022890996,"teacher_disagreement_score":0.038190696,"about_ca_system_score_codex":0.0003662212,"about_ca_system_score_gemma":0.00044258157,"threshold_uncertainty_score":0.075936794},"labels":[],"label_agreement":null},{"id":"W4280602950","doi":"10.1007/s00382-022-06269-2","title":"The predictability study of the two flavors of ENSO in the CESM model from 1881 to 2017","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Key Research and Development Program of China; Guangdong Key Laboratory of Fermentation and Enzyme Engineering; National Natural Science Foundation of China","keywords":"Predictability; El Niño Southern Oscillation; Climatology; Multivariate ENSO index; Environmental science; Southern oscillation; Mathematics; Geology; Statistics","score_opus":0.018454936059190984,"score_gpt":0.26094747072582636,"score_spread":0.24249253466663537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280602950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974437,0.00007804602,0.00089498085,0.00015400605,0.00003554192,0.0000044838725,0.00059020333,0.00003335083,0.00076558196],"genre_scores_gemma":[0.9986388,0.00004374978,0.00019357084,0.000010638033,0.000013575339,0.0000037801576,0.0009202905,0.000011556444,0.00016406647],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998777,0.000021953882,0.000008213194,0.00003468294,0.000025371339,0.000032065956],"domain_scores_gemma":[0.9994721,0.00016195035,0.00007691507,0.00004872923,0.00017521433,0.00006506305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006457997,0.00043594337,0.0003196025,0.00033340717,0.00035880963,0.0005986594,0.00031520933,0.00032268098,0.0007902337],"category_scores_gemma":[0.0019190549,0.00018436676,0.0004889584,0.00034545158,0.00033032778,0.0006962665,0.0004649495,0.0007208645,0.00010727384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032552824,0.0000985078,0.48255143,0.000057398793,0.0002455808,0.0002865367,0.000079396006,0.49920192,0.0028222476,0.0022348545,0.0026201457,0.0094765285],"study_design_scores_gemma":[0.00003701275,0.00007248618,0.14623539,0.000021499434,0.000084678606,0.00004752309,0.000091566646,0.84925854,0.0021035862,0.00061973283,0.0013875999,0.000040343173],"about_ca_topic_score_codex":0.022795089,"about_ca_topic_score_gemma":0.019031622,"teacher_disagreement_score":0.022795089,"about_ca_system_score_codex":0.00061522465,"about_ca_system_score_gemma":0.00075829815,"threshold_uncertainty_score":0.045324802},"labels":[],"label_agreement":null},{"id":"W4280617626","doi":"10.1007/s00382-022-06319-9","title":"Representation of sea ice regimes in the Western Ross Sea, Antarctica, based on satellite imagery and AMPS wind data","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"University of Canterbury","keywords":"Geology; Sea ice; Drift ice; Mesoscale meteorology; Climatology; Sea ice concentration; Wind speed; Sea ice thickness; Arctic ice pack; Oceanography","score_opus":0.026087197279633677,"score_gpt":0.2636935382520435,"score_spread":0.23760634097240982,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280617626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980647,0.00006211229,0.0005017619,0.0000118824755,0.0000034761167,0.000011739852,0.0009246292,0.000035485213,0.00038416867],"genre_scores_gemma":[0.9951023,0.000074355696,0.0020098502,0.0000053967974,0.0000042334627,0.000012842422,0.0026122497,0.000005825305,0.000172792],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999217,0.000011206468,0.000009426457,0.000023177708,0.000019713501,0.000014799804],"domain_scores_gemma":[0.99988174,0.000018380211,0.000033787048,0.000012588338,0.000031476084,0.00002201685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002355723,0.00035209287,0.0001626528,0.001716278,0.00013489973,0.00042150277,0.00011750949,0.00014097111,0.00036451293],"category_scores_gemma":[0.00042209163,0.000102180515,0.00028872755,0.001042899,0.00011234921,0.00019542541,0.00022573164,0.0001009852,0.0001511729],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003491524,0.00017952337,0.858648,0.00009437527,0.00019688375,0.000346807,0.00030417053,0.03245849,0.022808356,0.00021663494,0.001517721,0.08287989],"study_design_scores_gemma":[0.000014188339,0.00004089039,0.9144932,0.000018987346,0.000035775058,0.000070879425,0.00027003387,0.083031796,0.0013737321,0.000070032074,0.0005674102,0.000013079179],"about_ca_topic_score_codex":0.014655073,"about_ca_topic_score_gemma":0.021651115,"teacher_disagreement_score":0.014655073,"about_ca_system_score_codex":0.00020586936,"about_ca_system_score_gemma":0.0002683334,"threshold_uncertainty_score":0.029139578},"labels":[],"label_agreement":null},{"id":"W4281287620","doi":"10.1007/s00382-022-06315-z","title":"On the choice of TLS versus OLS in climate signal detection regression","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Statistical and numerical algorithms","field":"Mathematics","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 Guelph","funders":"","keywords":"False positive paradox; Statistics; Context (archaeology); Ordinary least squares; Regression; Econometrics; Detection theory; Linear regression; Monte Carlo method; SIGNAL (programming language); Noise (video); Mathematics; Computer science; Detector; Artificial intelligence","score_opus":0.05214637304755836,"score_gpt":0.33471703476421916,"score_spread":0.2825706617166608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281287620","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.116199836,0.0015553817,0.8698988,0.0042982074,0.00020817971,0.00007842347,0.00014740796,0.00045222286,0.007161647],"genre_scores_gemma":[0.77640975,0.0008017403,0.21956211,0.0005842424,0.0001275175,0.00012205461,0.00015244364,0.00022710049,0.0020130363],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.97648764,0.020670913,0.0004586667,0.0007981945,0.001329756,0.00025491146],"domain_scores_gemma":[0.8823043,0.10775903,0.0032384384,0.003170678,0.0030592836,0.00046830968],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.039110646,0.0005865496,0.00091446424,0.0016758532,0.0005503587,0.002367233,0.0012444295,0.0012811318,0.002162116],"category_scores_gemma":[0.1454053,0.0003690207,0.0007561867,0.0018945625,0.003333016,0.0020575232,0.0024023228,0.001837409,0.000550545],"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":[0.0010953579,0.00010217866,0.034147203,0.0005306793,0.000336705,0.00034549227,0.00058781874,0.2240598,0.0022139957,0.50032544,0.0040933136,0.23216195],"study_design_scores_gemma":[0.000089703455,0.00028339855,0.0034537523,0.00024802523,0.00005542801,0.00011462486,0.00025931964,0.859646,0.0018973161,0.13086173,0.0030366846,0.000053982683],"about_ca_topic_score_codex":0.0029299466,"about_ca_topic_score_gemma":0.0023992322,"teacher_disagreement_score":0.039110646,"about_ca_system_score_codex":0.0009445781,"about_ca_system_score_gemma":0.0011662251,"threshold_uncertainty_score":0.20683932},"labels":[],"label_agreement":null},{"id":"W4281740959","doi":"10.1007/s00382-022-06307-z","title":"Climate change impacts on linkages between atmospheric blocking and North American winter cold spells in CanESM2 and CanESM5","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Environmental science; Baseline (sea); Blocking (statistics); Cold weather; Atmospheric sciences; Spell; Advection; Climate change; Geology; Oceanography; Physics; Mathematics","score_opus":0.017499106920262988,"score_gpt":0.2358894169792082,"score_spread":0.21839031005894521,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281740959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992831,0.00021903426,0.00044283626,0.00019714204,0.000025347732,0.000015469066,0.0042496026,0.00009542399,0.0019241802],"genre_scores_gemma":[0.992432,0.00011514892,0.00064415834,0.00004946003,0.000007818149,0.000011803658,0.006351091,0.000017597331,0.00037087454],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996238,0.000058880287,0.000017998225,0.0001067226,0.00009984155,0.00009274838],"domain_scores_gemma":[0.9991916,0.000097149095,0.00007748667,0.00008892782,0.00042278742,0.00012211496],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014136692,0.0008004683,0.00038208385,0.00077318074,0.00081234187,0.0009166678,0.0008456571,0.0003873729,0.0008713105],"category_scores_gemma":[0.0015545943,0.00024235596,0.00081125885,0.0012620474,0.00029287874,0.0004902455,0.0007017667,0.00042551995,0.000098609045],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00046799236,0.00013267208,0.77165943,0.00009890213,0.001564777,0.0001535405,0.00024443847,0.2013272,0.0040915054,0.0011033682,0.0064693387,0.0126868645],"study_design_scores_gemma":[0.00009148438,0.000049516464,0.8184841,0.00002687833,0.0003601632,0.00003326782,0.00033335455,0.17198487,0.001955332,0.00035539494,0.0062278085,0.000097701544],"about_ca_topic_score_codex":0.89626294,"about_ca_topic_score_gemma":0.92468345,"teacher_disagreement_score":0.103737056,"about_ca_system_score_codex":0.0046717073,"about_ca_system_score_gemma":0.004425142,"threshold_uncertainty_score":0.20869595},"labels":[],"label_agreement":null},{"id":"W4282971047","doi":"10.1007/s00382-022-06325-x","title":"On the solid and liquid precipitation characteristics over the North-West Himalayan region around the turn of the century","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Precipitation; Climatology; Environmental science; Monsoon; Atmospheric circulation; Climate change; Atmospheric research; Atmospheric sciences; Geography; Meteorology; Geology; Oceanography","score_opus":0.01130228873834942,"score_gpt":0.2168290496394111,"score_spread":0.20552676090106167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282971047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981371,0.00012380395,0.000109636225,0.000104499755,0.000005084891,0.0000014251949,0.00032188834,0.00000805019,0.0011884903],"genre_scores_gemma":[0.9995245,0.00006105083,0.000035130364,0.000006300317,0.000005148744,6.958353e-7,0.00020701323,0.0000021047483,0.00015814885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999536,0.000007844635,0.0000043722803,0.000011529568,0.000009196286,0.000013418022],"domain_scores_gemma":[0.99977154,0.00006468911,0.000051859435,0.000013709668,0.00006250654,0.000035748173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001740846,0.00010118338,0.00017028139,0.0006661406,0.0004930901,0.0009992436,0.00021199104,0.000221398,0.001218444],"category_scores_gemma":[0.0007097306,0.000090037945,0.00014792434,0.001507938,0.00041937057,0.00033552697,0.0003288757,0.00022995881,0.000141612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052873,0.00004677175,0.92393017,0.00010774427,0.0001838946,0.0011624857,0.004683152,0.035820223,0.008551637,0.0033782162,0.0016990344,0.019907888],"study_design_scores_gemma":[0.000008279056,0.000012546195,0.98996335,0.00001085647,0.000024029872,0.00007138193,0.00095824053,0.0070424136,0.00035251718,0.00032321163,0.001223843,0.000009354294],"about_ca_topic_score_codex":0.08021362,"about_ca_topic_score_gemma":0.087789126,"teacher_disagreement_score":0.08021362,"about_ca_system_score_codex":0.00069249485,"about_ca_system_score_gemma":0.00038033587,"threshold_uncertainty_score":0.15949345},"labels":[],"label_agreement":null},{"id":"W4283771788","doi":"10.1007/s00382-022-06370-6","title":"Changes in freezing rain occurrence over eastern Canada using convection-permitting climate simulations","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Compute Canada; Université du Québec à Montréal; National Center for Atmospheric Research","keywords":"Freezing rain; Precipitation; Environmental science; Climatology; Climate change; Climate model; Horizontal resolution; Atmospheric sciences; Meteorology; Geology; Geography; Oceanography","score_opus":0.026726047017729855,"score_gpt":0.24094851718016722,"score_spread":0.21422247016243737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283771788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947272,0.00010001414,0.0005941574,0.00010586471,0.000011977359,0.000022572982,0.0017665148,0.00010797114,0.0025636675],"genre_scores_gemma":[0.99757177,0.000069680056,0.0006589145,0.0000181276,0.0000036801803,0.000010280249,0.0011658096,0.000013750302,0.00048809554],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998721,0.000019165362,0.0000068933937,0.00003201056,0.000024340814,0.000045539466],"domain_scores_gemma":[0.9996145,0.000078803925,0.000034748824,0.000025715688,0.0001615774,0.00008457637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024425492,0.00059980876,0.00037328817,0.0005039943,0.001060612,0.001007259,0.0010382473,0.00063500844,0.0014004377],"category_scores_gemma":[0.0007572017,0.00027548836,0.00067661074,0.0009412572,0.00045951043,0.0003082834,0.00032167873,0.000541559,0.00010279427],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014363007,0.00010246791,0.056021556,0.000040012103,0.00012276921,0.0001496606,0.00007222338,0.9374146,0.0012099034,0.00046879592,0.0007727654,0.0034816633],"study_design_scores_gemma":[0.00009046283,0.000028853607,0.045866944,0.000012674351,0.000047523812,0.000015225416,0.00013290317,0.95230144,0.00047724173,0.00011672525,0.0008782214,0.00003181367],"about_ca_topic_score_codex":0.9657708,"about_ca_topic_score_gemma":0.9480983,"teacher_disagreement_score":0.03422922,"about_ca_system_score_codex":0.010422735,"about_ca_system_score_gemma":0.007674981,"threshold_uncertainty_score":0.07562262},"labels":[],"label_agreement":null},{"id":"W4289443398","doi":"10.1007/s00382-022-06386-y","title":"Greenhouse-gas forced changes in the Atlantic meridional overturning circulation and related worldwide sea-level change","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Division of Ocean Sciences; National Cancer Institute; Australian Research Council; Natural Environment Research Council; Biological and Environmental Research; National Natural Science Foundation of China; Max-Planck-Gesellschaft; Sight Research UK; Deutsche Forschungsgemeinschaft; Office of Science; Ministry of Education, Culture, Sports, Science and Technology; Australian National University; Australian Government; U.S. Department of Energy; Commonwealth Scientific and Industrial Research Organisation; National Science Foundation","keywords":"Zonal and meridional; Forcing (mathematics); Algorithm; Flux (metallurgy); Climatology; Environmental science; Geology; Chemistry; Computer science","score_opus":0.032883234334418344,"score_gpt":0.2378520786940582,"score_spread":0.20496884435963986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289443398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978041,0.000024067078,0.00015951066,0.00004379312,0.000012756113,0.000008228868,0.0009838823,0.000023530112,0.00094001775],"genre_scores_gemma":[0.9988405,0.000028184872,0.00017179885,0.000026375823,0.0000023202876,0.000015741523,0.0006553513,0.000005357127,0.0002544906],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999443,0.000011549479,0.000005227469,0.00001363402,0.000010795051,0.00001435022],"domain_scores_gemma":[0.99984694,0.000035362777,0.000028253038,0.000038087313,0.000024009001,0.000027362299],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016724688,0.00023984733,0.00018996738,0.00014263544,0.00017080599,0.0002975477,0.00019713839,0.00019573665,0.001983283],"category_scores_gemma":[0.0002875394,0.00007287859,0.0003544164,0.00020537767,0.00027464522,0.0001586651,0.0002333934,0.0003136984,0.00017203252],"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":[0.0033011101,0.0013579691,0.35879642,0.00028226402,0.000908928,0.00053383457,0.00017004531,0.08410275,0.52270496,0.0018733497,0.004892879,0.021075461],"study_design_scores_gemma":[0.00016193186,0.0008960592,0.882118,0.00002059703,0.00017159044,0.00007134457,0.0002888626,0.051022474,0.062074304,0.0008860463,0.0022375507,0.000051227176],"about_ca_topic_score_codex":0.019311454,"about_ca_topic_score_gemma":0.0141487885,"teacher_disagreement_score":0.019311454,"about_ca_system_score_codex":0.00040857386,"about_ca_system_score_gemma":0.00025563472,"threshold_uncertainty_score":0.038398087},"labels":[],"label_agreement":null},{"id":"W4293077642","doi":"10.1007/s00382-022-06342-w","title":"Toward an optimal observational array for improving two flavors of El Niño predictions in the whole Pacific","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Natural Science Foundation of China","keywords":"Climatology; Extratropical cyclone; Environmental science; Pacific decadal oscillation; Sea surface temperature; Subtropics; Forecast skill; El Niño Southern Oscillation; Boreal; Coupled model intercomparison project; Tropics; Tropical Eastern Pacific; La Niña; Climate model; Pacific ocean; Geology; Climate change; Oceanography","score_opus":0.04142051432841507,"score_gpt":0.2766982865114616,"score_spread":0.23527777218304655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293077642","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":[0.25492465,0.00081014493,0.719318,0.009415568,0.0004101449,0.00015425426,0.004465645,0.002188446,0.0083132405],"genre_scores_gemma":[0.7213808,0.00026000492,0.2735778,0.001103427,0.00041482947,0.0002034211,0.001996082,0.0002720749,0.0007915487],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9968965,0.0015465779,0.00024900897,0.000715855,0.0003830667,0.00020901953],"domain_scores_gemma":[0.979332,0.0070965434,0.0013663215,0.0069140545,0.0045627495,0.000728414],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.010231296,0.0007274397,0.0012223282,0.0010173309,0.00124794,0.0026992783,0.0015177137,0.0017248729,0.0029132196],"category_scores_gemma":[0.051462874,0.00090165896,0.00055871555,0.0009968351,0.0009891674,0.005640223,0.004623958,0.0024513553,0.000535909],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002055845,0.0015002612,0.17306025,0.0003487593,0.0008185541,0.00016857484,0.00079164776,0.37077668,0.032048415,0.047986582,0.015060038,0.35538438],"study_design_scores_gemma":[0.00048984593,0.00015505818,0.026359186,0.00011326515,0.00018982224,0.00004865447,0.0006042972,0.85098934,0.009132734,0.10498616,0.006828575,0.000103012615],"about_ca_topic_score_codex":0.0075389557,"about_ca_topic_score_gemma":0.012464729,"teacher_disagreement_score":0.010231296,"about_ca_system_score_codex":0.0005479922,"about_ca_system_score_gemma":0.0030534212,"threshold_uncertainty_score":0.054108918},"labels":[],"label_agreement":null},{"id":"W4293091232","doi":"10.1007/s00382-022-06459-y","title":"Fast mechanisms linking the Labrador Sea with subtropical Atlantic overturning","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Centre National de la Recherche Scientifique; Sight Research UK","keywords":"Ocean gyre; Geology; Oceanography; Boundary current; Subtropics; North Atlantic Deep Water; Buoyancy; Shutdown of thermohaline circulation; Ocean current; Climatology; Thermohaline circulation; Water mass; Advection; Hydrography","score_opus":0.005181504412632546,"score_gpt":0.1750894022632938,"score_spread":0.16990789785066127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293091232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793967,0.00013745845,0.015772553,0.00069141685,0.000022268714,0.000013841946,0.00025154243,0.00029968985,0.003414393],"genre_scores_gemma":[0.9989963,0.00003031544,0.00053809833,0.000024651965,0.000006367837,0.000004239876,0.000030949846,0.000009305236,0.00035991703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99989283,0.000032413776,0.000005773756,0.00003219839,0.00001322153,0.00002363421],"domain_scores_gemma":[0.9996686,0.000086438304,0.00014147983,0.000033574677,0.000027846812,0.000042081647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036021744,0.00036085397,0.0002526664,0.00036801785,0.0003097411,0.000799336,0.00067209656,0.0005652946,0.002041961],"category_scores_gemma":[0.0015627957,0.00025778587,0.00043232352,0.0002194295,0.000502933,0.0007407844,0.00080039544,0.00046214502,0.00016355731],"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":[0.00026458636,0.00009362842,0.23446319,0.0000770212,0.00029203115,0.00081875926,0.00031605788,0.67689073,0.012869172,0.054947544,0.001589527,0.017377833],"study_design_scores_gemma":[0.00003896775,0.000054496522,0.045382377,0.000011768537,0.000059752005,0.00006587594,0.00009434177,0.93871784,0.00090687716,0.013704091,0.00093528535,0.00002825722],"about_ca_topic_score_codex":0.026156882,"about_ca_topic_score_gemma":0.011397877,"teacher_disagreement_score":0.026156882,"about_ca_system_score_codex":0.0006402035,"about_ca_system_score_gemma":0.00062713365,"threshold_uncertainty_score":0.052009225},"labels":[],"label_agreement":null},{"id":"W4293187644","doi":"10.1007/s00382-022-06274-5","title":"Atmospheric trends over the Arctic Ocean in simulations from the Coordinated Regional Downscaling Experiment (CORDEX) and their driving GCMs","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Fisheries and Oceans Canada","funders":"Indigenous and Northern Affairs Canada; Fisheries and Oceans Canada; Crown-Indigenous Relations and Northern Affairs Canada; U.S. Department of Energy","keywords":"Climatology; Downscaling; Environmental science; Arctic; Precipitation; Coupled model intercomparison project; Anomaly (physics); Sea ice; Climate model; Snow; The arctic; General Circulation Model; Climate change; Geology; Geography; Oceanography; Meteorology","score_opus":0.010958299044864152,"score_gpt":0.21612504883888353,"score_spread":0.2051667497940194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293187644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933757,0.000084257175,0.00034292377,0.00012497875,0.00004714321,0.000017233722,0.0044835536,0.00013897874,0.0013852323],"genre_scores_gemma":[0.9891327,0.000074901625,0.0012103316,0.000056458106,0.000016865222,0.00003418057,0.008897203,0.000038357528,0.00053902273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998142,0.000050803395,0.000015657375,0.00005888398,0.00003079954,0.000029803405],"domain_scores_gemma":[0.9995585,0.00009867681,0.000056526937,0.000053367152,0.00016256432,0.00007045136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000940947,0.0006559454,0.0003866422,0.00036909018,0.00048995053,0.0007869978,0.00048711593,0.0005733414,0.0009594127],"category_scores_gemma":[0.0012083414,0.00032621427,0.0007834843,0.00063407293,0.00024997836,0.0005573457,0.00039114195,0.0004859667,0.00017909815],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010318288,0.0003689728,0.3078068,0.00012553955,0.0007273555,0.0002718262,0.0001706833,0.6690446,0.0039687273,0.0012430527,0.0074665,0.0077740964],"study_design_scores_gemma":[0.00049941987,0.00020686297,0.18067646,0.000040988587,0.00021903348,0.0000448692,0.0001723112,0.81070244,0.0030662608,0.00037626104,0.0039281873,0.000066926106],"about_ca_topic_score_codex":0.17202005,"about_ca_topic_score_gemma":0.11217402,"teacher_disagreement_score":0.17202005,"about_ca_system_score_codex":0.0013894651,"about_ca_system_score_gemma":0.0013346869,"threshold_uncertainty_score":0.34203756},"labels":[],"label_agreement":null},{"id":"W4299430368","doi":"10.1007/s00382-022-06332-y","title":"Radiative and dynamic contributions to the observed temperature trends in the Arctic winter atmosphere","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Space Agency","keywords":"Stratosphere; Environmental science; Climatology; Troposphere; Atmospheric sciences; Radiative forcing; Arctic; Global warming; Greenhouse gas; Atmosphere (unit); Radiative transfer; Ozone layer; Climate model; Climate change; Greenhouse effect; Atmospheric temperature; Meteorology; Geology; Geography; Physics; Oceanography","score_opus":0.006085017148640203,"score_gpt":0.2248317787026881,"score_spread":0.2187467615540479,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4299430368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99379516,0.00027707568,0.0013298865,0.00024328443,0.00004900714,0.0000049076193,0.00047533817,0.00007667619,0.0037486337],"genre_scores_gemma":[0.99900275,0.00013775103,0.00012996982,0.000014514228,0.00003612369,0.0000039742977,0.00027456373,0.00003030913,0.0003701377],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998956,0.000019435352,0.0000074679842,0.000027216505,0.000019469375,0.00003080228],"domain_scores_gemma":[0.9997453,0.0001163054,0.000027560378,0.000028561099,0.000055433815,0.000026824095],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005358901,0.00045549995,0.0002170865,0.00053799816,0.00079605717,0.0009146629,0.00040878227,0.00045477023,0.0016698956],"category_scores_gemma":[0.001240959,0.00044724,0.00053560565,0.0005422956,0.00042084174,0.00066520483,0.00047569512,0.00048677987,0.00018908228],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084445946,0.0003042479,0.53189987,0.00022895724,0.00054744334,0.00062252936,0.0010855811,0.32652774,0.084422864,0.009070287,0.0022951376,0.04215087],"study_design_scores_gemma":[0.00006329685,0.00004363301,0.78571194,0.000026320733,0.00015327959,0.00015065329,0.00024867823,0.20460096,0.004550915,0.0017516117,0.0026457894,0.00005282218],"about_ca_topic_score_codex":0.028969433,"about_ca_topic_score_gemma":0.033385962,"teacher_disagreement_score":0.028969433,"about_ca_system_score_codex":0.0008103105,"about_ca_system_score_gemma":0.000645513,"threshold_uncertainty_score":0.05760163},"labels":[],"label_agreement":null},{"id":"W4309048387","doi":"10.1007/s00382-022-06565-x","title":"A methodology for attributing severe extratropical cyclones to climate change based on reanalysis data: the case study of storm Alex 2020","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Impact","funders":"H2020 Marie Skłodowska-Curie Actions; European Commission","keywords":"Extratropical cyclone; Climatology; Storm; Storm track; Counterfactual thinking; Precipitation; Environmental science; Cyclogenesis; Cyclone (programming language); Period (music); Climate change; Middle latitudes; Meteorology; Geography; Geology; Computer science; Oceanography","score_opus":0.1630095612108947,"score_gpt":0.3581650822684316,"score_spread":0.1951555210575369,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309048387","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":[0.16282909,0.00040253953,0.8262586,0.00052496925,0.00024688937,0.00072194013,0.0037053754,0.001391361,0.003919196],"genre_scores_gemma":[0.44982976,0.00024793975,0.54634506,0.00008248886,0.00008638899,0.00039324307,0.0017979041,0.000110859655,0.0011064451],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989342,0.00044510153,0.00010323769,0.0002907043,0.00015858495,0.000068091766],"domain_scores_gemma":[0.99604034,0.0016584687,0.0006973856,0.00047020742,0.0009977575,0.00013591784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0057651615,0.0009097319,0.00057200954,0.004105084,0.0008769839,0.001913088,0.0010448786,0.00078527967,0.0010034407],"category_scores_gemma":[0.013264317,0.00046702274,0.00076210464,0.003758546,0.00043322885,0.0009702002,0.0010345205,0.00092085346,0.00024919855],"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":[0.00031100164,0.000507755,0.24977182,0.00030668057,0.0012855585,0.00046266243,0.0013289151,0.23349057,0.009512909,0.024090564,0.008628799,0.47030282],"study_design_scores_gemma":[0.00010762896,0.0001752753,0.090557784,0.00008833161,0.00018743367,0.0002558511,0.00089757,0.8702257,0.0048264535,0.023712255,0.008809048,0.00015664195],"about_ca_topic_score_codex":0.024280779,"about_ca_topic_score_gemma":0.035855245,"teacher_disagreement_score":0.024280779,"about_ca_system_score_codex":0.000772058,"about_ca_system_score_gemma":0.0023012476,"threshold_uncertainty_score":0.048278928},"labels":[],"label_agreement":null},{"id":"W4309944308","doi":"10.1007/s00382-022-06589-3","title":"Climate change information over Fenno-Scandinavia produced with a convection-permitting climate model","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos","funders":"Vetenskapsrådet; Maj ja Tor Nesslingin Säätiö; Bundesministerium für Bildung und Forschung; Academy of Finland; Svenska Forskningsrådet Formas; Agence Nationale de la Recherche; Ministerio de Ciencia e Innovación; National Science Council; National Supercomputer Centre, Linköpings Universitet; Biodiversa+","keywords":"Climatology; Climate change; Climate model; General Circulation Model; Environmental science; Convection; Geology; Meteorology; Geography; Oceanography","score_opus":0.013971387095431673,"score_gpt":0.223372487997336,"score_spread":0.20940110090190434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309944308","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98771894,0.00016171797,0.00079767714,0.00010116433,0.000033111326,0.000018590978,0.008168755,0.0002666617,0.0027334255],"genre_scores_gemma":[0.99143875,0.000076484095,0.001071303,0.000021694314,0.000008099308,0.00002091966,0.007043039,0.000034271434,0.00028533462],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996879,0.00009503546,0.0000329295,0.00008736128,0.00003694604,0.00005988452],"domain_scores_gemma":[0.999529,0.00014398541,0.00006588513,0.00007684042,0.00013242944,0.00005186605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006176276,0.00092995755,0.0006789785,0.0006804876,0.0005087024,0.0012718727,0.0007345025,0.00085878646,0.0017696341],"category_scores_gemma":[0.0009371039,0.00040291884,0.0010919055,0.0013042737,0.0003593781,0.00045779246,0.00039094768,0.00034134238,0.00029986037],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035643036,0.00006847157,0.04460633,0.00009263135,0.00020414776,0.0003684789,0.000062107014,0.94810516,0.0018868342,0.00037132183,0.00092305196,0.0029550851],"study_design_scores_gemma":[0.00057655934,0.00021772271,0.09621627,0.00008394696,0.00021868828,0.00009806992,0.00023859498,0.8941581,0.0034859197,0.00044093793,0.00416018,0.00010504934],"about_ca_topic_score_codex":0.1761542,"about_ca_topic_score_gemma":0.10441948,"teacher_disagreement_score":0.1761542,"about_ca_system_score_codex":0.0013190329,"about_ca_system_score_gemma":0.0012411275,"threshold_uncertainty_score":0.35025775},"labels":[],"label_agreement":null},{"id":"W4311236717","doi":"10.1007/s00382-022-06629-y","title":"Unravelling the roles of orbital forcing and oceanic conditions on the mid-Holocene boreal summer monsoons","year":2022,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Geology and Paleoclimatology Research","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Earth Sciences; Council of Scientific and Industrial Research, India","keywords":"Intertropical Convergence Zone; Orbital forcing; Climatology; Monsoon; Hadley cell; Geology; Holocene; East Asian Monsoon; Forcing (mathematics); Monsoon of South Asia; Precipitation; Oceanography; Climate change; Environmental science; Geography; General Circulation Model; Meteorology","score_opus":0.02094220949087306,"score_gpt":0.248019626389228,"score_spread":0.22707741689835495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311236717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958974,0.0013934032,0.00024018215,0.00036039797,0.000018654482,0.0000021866206,0.00014802543,0.00001130111,0.0019285362],"genre_scores_gemma":[0.9990645,0.00046090584,0.00013823807,0.000044274773,0.000017767943,0.0000013960331,0.000079267855,0.000004789667,0.00018886759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988425,0.000029172637,0.0000064060378,0.00002196328,0.000011013025,0.000047199344],"domain_scores_gemma":[0.99952316,0.00020198544,0.00008792506,0.000032109227,0.00005969198,0.00009517961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066669943,0.00026506066,0.00033155034,0.00029140868,0.00047898552,0.0012254057,0.00032319053,0.00032250566,0.0018404952],"category_scores_gemma":[0.0008594127,0.00018262205,0.0002913673,0.00031432285,0.00074679224,0.0013242137,0.00057246175,0.00044789654,0.00012399328],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006189053,0.00014402054,0.89958495,0.0001461268,0.0002696605,0.00020190282,0.0014020294,0.003389585,0.022862187,0.0040960256,0.0009352114,0.066349365],"study_design_scores_gemma":[0.000009354986,0.00002376892,0.99423957,0.000014681656,0.000031573774,0.000019881314,0.000641029,0.0021971602,0.00021177513,0.0007141054,0.0018861259,0.000010982239],"about_ca_topic_score_codex":0.033218347,"about_ca_topic_score_gemma":0.083225556,"teacher_disagreement_score":0.033218347,"about_ca_system_score_codex":0.00048230577,"about_ca_system_score_gemma":0.0008981464,"threshold_uncertainty_score":0.06604999},"labels":[],"label_agreement":null},{"id":"W4313500374","doi":"10.1007/s00382-022-06642-1","title":"A physical analysis of summertime North American heatwaves","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Empirical orthogonal functions; Downwelling; Environmental science; Anticyclone; Shortwave radiation; Anomaly (physics); Outgoing longwave radiation; Subtropical ridge; Precipitation; Atmospheric sciences; Convection; Cloud cover; Subsidence; Troposphere; Geology; Geography; Radiation; Meteorology; Structural basin; Oceanography; Upwelling","score_opus":0.012858600676452957,"score_gpt":0.26249880096733386,"score_spread":0.2496402002908809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313500374","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956715,0.000121949044,0.0008252332,0.000065721106,0.000012532224,0.0000071028016,0.0011246687,0.000022086384,0.0021491584],"genre_scores_gemma":[0.99796546,0.00009438602,0.00040410578,0.000008661682,0.00001527181,0.000005753177,0.0008657075,0.0000044121234,0.0006361904],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999597,0.000005725887,0.0000024251913,0.000011144268,0.000011789399,0.0000092907085],"domain_scores_gemma":[0.9999076,0.000022063388,0.000018141407,0.0000069350754,0.00003292063,0.000012404799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100358986,0.00011245897,0.00007310251,0.0006732749,0.00018931518,0.00030483207,0.000052545183,0.00007245146,0.00113369],"category_scores_gemma":[0.00022272703,0.000045718498,0.0001776711,0.00076745736,0.000090098154,0.00016690404,0.00010792991,0.00010575217,0.00009426879],"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":[0.00013026457,0.00008782583,0.8946809,0.00006454169,0.00015475217,0.0001970791,0.000384871,0.013319223,0.015785046,0.0008971867,0.0030826742,0.07121561],"study_design_scores_gemma":[0.0000013997596,0.0000075685016,0.9906427,0.0000026439436,0.0000069054618,0.000017385746,0.00011290944,0.0072209896,0.00033569272,0.00007852727,0.0015711574,0.0000021990545],"about_ca_topic_score_codex":0.02138263,"about_ca_topic_score_gemma":0.037451852,"teacher_disagreement_score":0.02138263,"about_ca_system_score_codex":0.00022869062,"about_ca_system_score_gemma":0.00019691896,"threshold_uncertainty_score":0.04251635},"labels":[],"label_agreement":null},{"id":"W4317727934","doi":"10.1007/s00382-022-06647-w","title":"What added value of CNRM-AROME convection-permitting regional climate model compared to CNRM-ALADIN regional climate model for urban climate studies ? Evaluation over Paris area (France)","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Center for Neuroscience and Regenerative Medicine; Centre National de la Recherche Scientifique; Agence Nationale de la Recherche","keywords":"Environmental science; Climate model; Precipitation; Climatology; Horizontal resolution; Latent heat; Climate change; Meteorology; Geography; Geology","score_opus":0.07173366409905338,"score_gpt":0.3257269764787524,"score_spread":0.253993312379699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317727934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9674135,0.0007855768,0.007976861,0.0020552366,0.00033198827,0.0001481414,0.0036316665,0.001110829,0.016546112],"genre_scores_gemma":[0.9933594,0.00017130576,0.0041025826,0.0001375449,0.00004306222,0.00003207635,0.00096270314,0.00011518377,0.0010760489],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9993641,0.0003646569,0.00002267267,0.00010472025,0.00008080262,0.000063128704],"domain_scores_gemma":[0.99823004,0.0010032025,0.000077764314,0.00013154437,0.00039185394,0.00016569022],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017265979,0.00092011946,0.000834126,0.00036337748,0.00040729446,0.0014844347,0.0013292764,0.0012509753,0.0036270544],"category_scores_gemma":[0.0038522077,0.0003478359,0.0008215318,0.00041369253,0.00037728457,0.0012459803,0.00051426864,0.0008013712,0.0002933524],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0016200783,0.00039065655,0.015732931,0.00017050107,0.0003037551,0.00015508436,0.00005007996,0.95713806,0.0033763545,0.0014153204,0.002424238,0.017222947],"study_design_scores_gemma":[0.00045832855,0.00044082094,0.009931846,0.000035839323,0.00022186954,0.000024121673,0.00013054523,0.9846502,0.0022113994,0.00051261287,0.0013411432,0.000041303443],"about_ca_topic_score_codex":0.085265234,"about_ca_topic_score_gemma":0.054775693,"teacher_disagreement_score":0.085265234,"about_ca_system_score_codex":0.0011259409,"about_ca_system_score_gemma":0.0013387972,"threshold_uncertainty_score":0.16953784},"labels":[],"label_agreement":null},{"id":"W4318071568","doi":"10.1007/s00382-022-06615-4","title":"Impact of sea ice transport on Beaufort Gyre liquid freshwater content","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba; University of Alberta","funders":"Natural Environment Research Council; Horizon 2020; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Bundesministerium für Bildung, Wissenschaft, Forschung und Technologie; Sight Research UK; Marine Environmental Observation Prediction and Response Network; Polar Knowledge Canada","keywords":"Ocean gyre; Sea ice; Oceanography; Environmental science; Climatology; Arctic ice pack; Geology; Ocean current; Atmospheric sciences","score_opus":0.024036756427007294,"score_gpt":0.24733671538136684,"score_spread":0.22329995895435956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318071568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990031,0.000033516604,0.00021430536,0.000059566093,0.0000075207568,0.0000031497214,0.00011149424,0.000034669625,0.0005326491],"genre_scores_gemma":[0.99960095,0.000013464927,0.000158861,0.000017214876,0.0000025169077,0.000004070582,0.00012555785,0.000009759176,0.000067530535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9998053,0.00006206031,0.000012288403,0.000055585846,0.000018483654,0.000046302193],"domain_scores_gemma":[0.99936277,0.000306245,0.00010465702,0.00007496481,0.00005386932,0.00009754622],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006150124,0.0006454219,0.0004539707,0.00025863742,0.00038172887,0.00109372,0.00042053816,0.000596287,0.0008047436],"category_scores_gemma":[0.0016703526,0.00024253882,0.0007253737,0.00020644315,0.0006021428,0.00041564115,0.0003740309,0.00040563007,0.00007661123],"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":[0.00088850496,0.00019722882,0.12803061,0.000057976486,0.00034246294,0.00030393346,0.00012014542,0.8375283,0.028124694,0.0007130067,0.00056174974,0.003131371],"study_design_scores_gemma":[0.00024525286,0.00073531206,0.18808408,0.00002271765,0.00013143761,0.00008635012,0.00020961309,0.80077106,0.0084553305,0.00036111116,0.00083068595,0.00006704603],"about_ca_topic_score_codex":0.040068474,"about_ca_topic_score_gemma":0.020897433,"teacher_disagreement_score":0.040068474,"about_ca_system_score_codex":0.00078134635,"about_ca_system_score_gemma":0.0006698839,"threshold_uncertainty_score":0.07967049},"labels":[],"label_agreement":null},{"id":"W4318580244","doi":"10.1007/s00382-022-06637-y","title":"Evaluation of the convection-permitting regional climate model CNRM-AROME41t1 over Northwestern Europe","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"H2020 Societal Challenges; Agence Nationale de la Recherche","keywords":"Environmental science; Climatology; Precipitation; Orography; Climate model; Climate change; Meteorology; Geography; Geology","score_opus":0.046449162683065835,"score_gpt":0.2841100080311998,"score_spread":0.23766084534813395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318580244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943704,0.0000594923,0.0012645989,0.00012696811,0.000031591062,0.00003648836,0.0016442604,0.00026597126,0.0022002258],"genre_scores_gemma":[0.9934815,0.000035122597,0.0030179701,0.00004158873,0.000009274418,0.00003200808,0.0029252789,0.000039370723,0.00041790304],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996933,0.00011911216,0.000016740294,0.0000806303,0.000046485962,0.000043902444],"domain_scores_gemma":[0.9994911,0.0001841702,0.00004712826,0.000078717356,0.0001260709,0.000072792565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011465346,0.00081321894,0.00062653684,0.00031999397,0.0003580562,0.0007642549,0.0010217455,0.0011112515,0.000983961],"category_scores_gemma":[0.0014053602,0.00026408196,0.000707674,0.00045206156,0.00042131997,0.0004607346,0.0005331354,0.0007151476,0.00019551897],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031935054,0.00021520689,0.013068552,0.000039631348,0.00007160484,0.00012888158,0.00002571275,0.9799673,0.0020198112,0.00029593997,0.00052237406,0.003325604],"study_design_scores_gemma":[0.00023246514,0.00017121513,0.008751964,0.000008035861,0.000024959489,0.000014443073,0.00003758376,0.9886048,0.0014031468,0.00008290784,0.00065195345,0.000016573822],"about_ca_topic_score_codex":0.055694763,"about_ca_topic_score_gemma":0.03467658,"teacher_disagreement_score":0.055694763,"about_ca_system_score_codex":0.0010025994,"about_ca_system_score_gemma":0.0008247127,"threshold_uncertainty_score":0.11074114},"labels":[],"label_agreement":null},{"id":"W4322741974","doi":"10.1007/s00382-023-06712-y","title":"Downscaled compound heatwave and heavy-precipitation analyses for Guangdong, China in the twenty-first century","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; China; Precipitation; Environmental science; Geography; Meteorology; Geology","score_opus":0.03244644806094679,"score_gpt":0.3047089266985533,"score_spread":0.27226247863760655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322741974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955764,0.00028802402,0.00053270935,0.0001503704,0.000016163549,0.0000050196504,0.0020901307,0.00003879705,0.0013024299],"genre_scores_gemma":[0.99633396,0.00016904254,0.0003990222,0.00002049399,0.000016273747,0.000008234206,0.0022598493,0.0000103002685,0.00078277936],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99993443,0.000006740965,0.0000042823467,0.000027181872,0.000013829953,0.0000134977345],"domain_scores_gemma":[0.99987984,0.0000132407895,0.00002101161,0.000023319408,0.000037246296,0.000025458989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003243672,0.00024871054,0.00020823065,0.00076172716,0.00028602034,0.00041698513,0.00028724925,0.00027790695,0.00076565193],"category_scores_gemma":[0.00033814023,0.00015794479,0.00041217584,0.0011365872,0.00024169347,0.00032806656,0.00044723568,0.00017257765,0.00011320674],"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":[0.00039259295,0.00013380557,0.81166875,0.00023325249,0.00071507297,0.00089171476,0.0013334221,0.08803617,0.012826765,0.0049119936,0.007511914,0.07134445],"study_design_scores_gemma":[0.000017781962,0.000013136416,0.97415346,0.000008376621,0.00008846349,0.000032067906,0.000109156186,0.018661823,0.0006326824,0.00031803775,0.00595054,0.000014507637],"about_ca_topic_score_codex":0.110621676,"about_ca_topic_score_gemma":0.14306633,"teacher_disagreement_score":0.110621676,"about_ca_system_score_codex":0.0009806541,"about_ca_system_score_gemma":0.0011397022,"threshold_uncertainty_score":0.21995562},"labels":[],"label_agreement":null},{"id":"W4365445755","doi":"10.1007/s00382-023-06778-8","title":"Evaluation of bias correction techniques for generating high-resolution daily temperature projections from CMIP6 models","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada; McMaster University","keywords":"Quantile; Coupled model intercomparison project; Environmental science; Climatology; Climate model; Consistency (knowledge bases); Forecast skill; Climate change; Statistics; Computer science; Mathematics","score_opus":0.0653006579764853,"score_gpt":0.29982339338347136,"score_spread":0.23452273540698607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365445755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7480184,0.0005930268,0.24082188,0.0005933577,0.0001976018,0.00021238736,0.0017530884,0.00421392,0.0035963187],"genre_scores_gemma":[0.80874205,0.00016036823,0.18863004,0.00006551115,0.00004772806,0.00008518977,0.0013796757,0.00039520304,0.0004941623],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99931264,0.00031606405,0.000053680364,0.000091493814,0.00017119265,0.000054901495],"domain_scores_gemma":[0.9911691,0.006034985,0.0004462281,0.00069383497,0.0015244643,0.00013130491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004363952,0.0008424003,0.00029950295,0.0007390836,0.0004464445,0.0006169151,0.0009806528,0.0008941832,0.0013466617],"category_scores_gemma":[0.01736663,0.00040196988,0.00059278903,0.0009548431,0.00019645857,0.0008040671,0.0005643871,0.0006925608,0.00027374178],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001316697,0.00036362396,0.023155024,0.00028359875,0.0005273389,0.0001797196,0.00018820575,0.78164655,0.010467843,0.0027181285,0.002107551,0.1770457],"study_design_scores_gemma":[0.000088184,0.00006418607,0.0035391317,0.000013585748,0.000045362423,0.000021026271,0.000022576898,0.9901633,0.0051721744,0.00042612548,0.00043177314,0.000012636636],"about_ca_topic_score_codex":0.022241162,"about_ca_topic_score_gemma":0.018422356,"teacher_disagreement_score":0.022241162,"about_ca_system_score_codex":0.0005803298,"about_ca_system_score_gemma":0.0012250615,"threshold_uncertainty_score":0.044223428},"labels":[],"label_agreement":null},{"id":"W4366368792","doi":"10.1007/s00382-023-06789-5","title":"Impact of the winter Arctic sea ice anomaly on the following summer tropical cyclone genesis frequency over the western North Pacific","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":40,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China","keywords":"Climatology; Tropical cyclogenesis; Anticyclone; Atmospheric circulation; Sea surface temperature; Tropical cyclone; Anomaly (physics); Environmental science; Geology; Wind shear; Oceanography; Atmospheric sciences; Cyclone (programming language); Wind speed","score_opus":0.024290078903911317,"score_gpt":0.2678322455502879,"score_spread":0.24354216664637657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366368792","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991099,0.000045328426,0.000014780825,0.000054993998,0.000010099372,6.901563e-7,0.00014134226,0.0000018145207,0.00062097574],"genre_scores_gemma":[0.9995459,0.000045705357,0.000009771788,0.000013857895,0.0000073687074,6.9922686e-7,0.00013771976,0.0000014015545,0.00023743432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998878,0.00002332322,0.000008001118,0.000019339797,0.000017452781,0.00004409008],"domain_scores_gemma":[0.99951637,0.00010354482,0.000105144136,0.000019598367,0.00009332895,0.0001621235],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031328623,0.00015575407,0.00016327263,0.00025815924,0.0005440644,0.0008441528,0.0001659829,0.000301222,0.002461611],"category_scores_gemma":[0.00097372744,0.00010670659,0.0002490615,0.00027559424,0.0002789696,0.00027263767,0.00041485598,0.00031130246,0.00015847429],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031448167,0.00005170155,0.9929109,0.000012578715,0.000091627335,0.00022683865,0.0001171918,0.0009982648,0.001870972,0.00013158546,0.00030868125,0.002965132],"study_design_scores_gemma":[0.0000032290602,0.000016941363,0.9990895,0.0000023504979,0.000015690586,0.000020050065,0.00017827244,0.000427699,0.000077632074,0.000013097615,0.00015424279,0.0000012400719],"about_ca_topic_score_codex":0.081655085,"about_ca_topic_score_gemma":0.15382779,"teacher_disagreement_score":0.081655085,"about_ca_system_score_codex":0.0007370014,"about_ca_system_score_gemma":0.0009543929,"threshold_uncertainty_score":0.1623596},"labels":[],"label_agreement":null},{"id":"W4366992573","doi":"10.1007/s00382-023-06795-7","title":"Impacts of climate change and climate variability on water resources and drought in an arid region and possible resiliency and adaptation measures against climate warming","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Climate change; Environmental science; Climatology; Evapotranspiration; Precipitation; Global warming; Arid; Water resources; Geopotential height; Effects of global warming; Geography; Geology; Ecology; Meteorology","score_opus":0.02317048750161413,"score_gpt":0.2501152110601603,"score_spread":0.2269447235585462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366992573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99647224,0.00017553392,0.00037897401,0.00045570047,0.000009566336,0.000004900463,0.00018220468,0.000005703137,0.002315205],"genre_scores_gemma":[0.9993605,0.00018525266,0.00015405616,0.000018746272,0.000015089983,0.000002838013,0.00005501818,0.0000016983631,0.0002068019],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998354,0.000081883176,0.00000905948,0.000014657803,0.000016479864,0.000042562955],"domain_scores_gemma":[0.99958724,0.00017078241,0.00008409688,0.000017775665,0.000051007628,0.000089084024],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060084526,0.00015101975,0.00018837184,0.00052892714,0.00068092643,0.00070718426,0.00024711833,0.00031408115,0.0011303794],"category_scores_gemma":[0.0012992345,0.00014626146,0.00039136386,0.0008836911,0.00079282426,0.00070388155,0.000658693,0.00036457754,0.000055677363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000714808,0.00019980739,0.9256424,0.000082136496,0.00027795165,0.0009705871,0.00084703515,0.038622543,0.0049635726,0.0087157,0.00076467654,0.018198796],"study_design_scores_gemma":[0.000011688773,0.00010078683,0.9793689,0.000007197303,0.00008280369,0.00016505481,0.0017029885,0.0141688455,0.0005029305,0.0028212774,0.0010501258,0.000017389668],"about_ca_topic_score_codex":0.019128773,"about_ca_topic_score_gemma":0.034368534,"teacher_disagreement_score":0.019128773,"about_ca_system_score_codex":0.000983402,"about_ca_system_score_gemma":0.00069724856,"threshold_uncertainty_score":0.038034856},"labels":[],"label_agreement":null},{"id":"W4376104896","doi":"10.1007/s00382-023-06814-7","title":"Probabilistic versus deterministic potential seasonal climate predictability under the perfect-model framework","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Predictability; Probabilistic logic; Forecast skill; Computer science; Equivalence (formal languages); Reliability (semiconductor); Mathematics; Econometrics; Statistics; Artificial intelligence; Physics; Discrete mathematics","score_opus":0.022433447264534844,"score_gpt":0.27033666796111994,"score_spread":0.2479032206965851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376104896","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":[0.34951335,0.0010498585,0.6204193,0.0056603765,0.0002766486,0.000035268054,0.0012781395,0.00057220703,0.02119468],"genre_scores_gemma":[0.991577,0.0002650246,0.006546234,0.000106907486,0.00010138878,0.0000144374935,0.0001299854,0.000055844484,0.0012031269],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999074,0.00045933467,0.000041588213,0.00017717358,0.000113780414,0.00013417199],"domain_scores_gemma":[0.9952702,0.0031510796,0.0006409602,0.00049356645,0.00024695878,0.0001973676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003273695,0.00049900176,0.0010158205,0.00055033667,0.00047393295,0.0014721404,0.0017770615,0.0011878965,0.002913491],"category_scores_gemma":[0.012178336,0.00048396367,0.00076604786,0.00064307026,0.0013585764,0.0048085405,0.0012941516,0.0008421302,0.00016451014],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005854322,0.000012668927,0.0009987676,0.00004026876,0.000043494594,0.000045327397,0.000023857085,0.8338958,0.000114882954,0.1608326,0.0007002154,0.003233659],"study_design_scores_gemma":[0.000010730882,0.000014305843,0.0005110988,0.0000059707504,0.000015917081,0.000021222239,0.000014169021,0.7984025,0.00004416439,0.2007149,0.0002331573,0.00001178095],"about_ca_topic_score_codex":0.005719753,"about_ca_topic_score_gemma":0.0046772743,"teacher_disagreement_score":0.005719753,"about_ca_system_score_codex":0.0009698467,"about_ca_system_score_gemma":0.0012386079,"threshold_uncertainty_score":0.017313182},"labels":[],"label_agreement":null},{"id":"W4381856789","doi":"10.1007/s00382-023-06857-w","title":"Continental configuration controls the base-state water vapor greenhouse effect: lessons from half-land, half-water planets","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"James S. McDonnell Foundation","keywords":"Environmental science; Climatology; Climate model; Albedo (alchemy); Atmospheric sciences; Ice-albedo feedback; Water vapor; Water cycle; Climate change; Geology; Cryosphere; Sea ice; Meteorology; Geography; Antarctic sea ice; Oceanography","score_opus":0.013500704790088951,"score_gpt":0.23453509090549127,"score_spread":0.22103438611540233,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381856789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9797877,0.00044844855,0.004568216,0.0012940087,0.000038996004,0.0000060887087,0.0003540738,0.00009357823,0.013408838],"genre_scores_gemma":[0.9994765,0.000094049836,0.000120262666,0.000026244306,0.000008440439,0.0000011097462,0.000046341604,0.00001902748,0.00020804293],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986625,0.0000439211,0.000005678197,0.000037453985,0.000009467936,0.000037255948],"domain_scores_gemma":[0.9992368,0.00035691712,0.00008290254,0.0001252775,0.00006715342,0.00013090624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043230478,0.00031814116,0.00047996064,0.00036105822,0.00046123707,0.0018147073,0.00078608794,0.00081952004,0.0048572426],"category_scores_gemma":[0.0019729328,0.0002870924,0.00053611747,0.00061965286,0.0012226799,0.002324862,0.00092922023,0.0005950842,0.000317599],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007712364,0.00025071183,0.39528993,0.00018506529,0.0005489734,0.0008151218,0.0013464256,0.39708808,0.019892558,0.1390383,0.0068094064,0.037964147],"study_design_scores_gemma":[0.00014709559,0.00011408206,0.34177294,0.000047710928,0.00021258747,0.0002028787,0.0020541225,0.4467868,0.003528413,0.19891325,0.006056256,0.00016387178],"about_ca_topic_score_codex":0.022822935,"about_ca_topic_score_gemma":0.015130097,"teacher_disagreement_score":0.022822935,"about_ca_system_score_codex":0.0005715033,"about_ca_system_score_gemma":0.00042895137,"threshold_uncertainty_score":0.045380175},"labels":[],"label_agreement":null},{"id":"W4383500316","doi":"10.1007/s00382-023-06882-9","title":"Evaluation of COWCLIP2.0 Ocean wave extreme indices over the Indian Ocean","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Ocean Waves and Remote Sensing","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Science and Engineering Research Board","keywords":"Decile; Climatology; Proxy (statistics); Environmental science; Mean squared error; Percentile; Significant wave height; Statistics; Geology; Wind wave; Mathematics","score_opus":0.0456212237389571,"score_gpt":0.2529119883300197,"score_spread":0.2072907645910626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383500316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98930025,0.000054093023,0.0009298366,0.00014647591,0.000026166985,0.000053085892,0.005525374,0.0003779921,0.0035867717],"genre_scores_gemma":[0.98408127,0.000043630618,0.0035526457,0.000045307177,0.000017762524,0.0000437628,0.011442309,0.00007015105,0.0007031867],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999676,0.00007213041,0.00002093513,0.00007600275,0.00008490743,0.000070110684],"domain_scores_gemma":[0.9990025,0.00026383135,0.00007304746,0.00009417698,0.00041723385,0.00014919513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013687967,0.0006190414,0.00033497435,0.0010502953,0.00044395126,0.0009736411,0.000690783,0.00052433665,0.0011530756],"category_scores_gemma":[0.0021256134,0.000221206,0.0003956655,0.0009969462,0.00017789112,0.00074498536,0.0006107198,0.00038968967,0.00034041476],"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":[0.003652747,0.0014067427,0.5907316,0.0004413464,0.0008170191,0.00074662856,0.0005638432,0.19002582,0.045957718,0.0013514896,0.01674108,0.14756383],"study_design_scores_gemma":[0.00042590886,0.00040343052,0.5814774,0.00003274983,0.0002593329,0.000106768035,0.00076980755,0.4006077,0.011840893,0.00021223114,0.003764595,0.000099096826],"about_ca_topic_score_codex":0.056260332,"about_ca_topic_score_gemma":0.067611754,"teacher_disagreement_score":0.056260332,"about_ca_system_score_codex":0.00051189936,"about_ca_system_score_gemma":0.0009455641,"threshold_uncertainty_score":0.11186576},"labels":[],"label_agreement":null},{"id":"W4385766428","doi":"10.1007/s00382-023-06922-4","title":"Joint impacts of winter North Pacific Oscillation and early spring Aleutian Low intensity on the following winter ENSO","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"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 Natural Science Foundation of China","keywords":"Climatology; Pacific decadal oscillation; El Niño Southern Oscillation; Sea surface temperature; Spring (device); Precipitation; Geology; Oceanography; Subtropical ridge; Subtropics; Environmental science; Geography","score_opus":0.019406590467424482,"score_gpt":0.22427042858836857,"score_spread":0.20486383812094408,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385766428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958455,0.00004972097,0.00020316211,0.00033765755,0.000021736692,0.0000045852503,0.00052089494,0.00003082385,0.0029859948],"genre_scores_gemma":[0.9982949,0.000050614664,0.00006626481,0.000025308187,0.000008764988,0.000006001186,0.00028579822,0.000011546009,0.0012509229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998272,0.00004383302,0.000010601382,0.000028315924,0.000024875228,0.000065173],"domain_scores_gemma":[0.99952674,0.000096229924,0.00008951157,0.000028784385,0.00008451927,0.00017434529],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005422263,0.00039449605,0.00034092853,0.00030679628,0.0007131443,0.0014818606,0.00029948383,0.00049219857,0.0039829114],"category_scores_gemma":[0.001332555,0.00030776008,0.00047184923,0.00038806262,0.00040115893,0.0006485219,0.0013534655,0.00052548264,0.00029566267],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015958938,0.0004265977,0.8062447,0.00010447389,0.000866716,0.0007050781,0.00039220555,0.1467888,0.016423417,0.005581916,0.005284766,0.0155853275],"study_design_scores_gemma":[0.000057793306,0.00008795433,0.9210472,0.000011805253,0.00012214591,0.000055019635,0.0003490958,0.0742476,0.00088384637,0.0013687452,0.0017447816,0.00002396726],"about_ca_topic_score_codex":0.047929358,"about_ca_topic_score_gemma":0.09308556,"teacher_disagreement_score":0.047929358,"about_ca_system_score_codex":0.0015927994,"about_ca_system_score_gemma":0.0014912601,"threshold_uncertainty_score":0.095300734},"labels":[],"label_agreement":null},{"id":"W4385971361","doi":"10.1007/s00382-023-06921-5","title":"Correction to: Quantification of tropical monsoon precipitation changes in terms of interhemispheric differences in stratospheric sulfate aerosol optical depth","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Climatology; Precipitation; Aerosol; Sulfate aerosol; Environmental science; Monsoon; Atmospheric sciences; Stratosphere; Geology; Geography; Meteorology","score_opus":0.020681954386357202,"score_gpt":0.2471409480312601,"score_spread":0.2264589936449029,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385971361","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0062793093,0.0021488797,0.015758492,0.017892651,0.84906006,0.00035865555,0.08483246,0.008518678,0.015150796],"genre_scores_gemma":[0.18222627,0.0047716605,0.0483707,0.012904081,0.09515735,0.0011735088,0.15374427,0.01256999,0.48908216],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99761546,0.0002584327,0.00044836145,0.00041421736,0.0009558406,0.0003077825],"domain_scores_gemma":[0.97969306,0.0021658586,0.0012479069,0.0025853817,0.013489348,0.00081853394],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022936554,0.0029035967,0.0018521749,0.0061343433,0.0016594873,0.0029150804,0.0028705634,0.0027311253,0.2019014],"category_scores_gemma":[0.028660594,0.0012945757,0.0026336585,0.0060684066,0.0007102411,0.0023343773,0.0024825258,0.0040345313,0.0842599],"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":[0.000111195994,0.000025771586,0.0010999249,0.00054865534,0.000085620166,0.00018083953,0.000040712865,0.0007891883,0.0007896622,0.000833708,0.97691,0.018584684],"study_design_scores_gemma":[0.00023754731,0.00008299772,0.030697754,0.00040335182,0.0001375818,0.00068215275,0.00023131122,0.0072104447,0.003249486,0.003901014,0.95298594,0.00018056764],"about_ca_topic_score_codex":0.017434526,"about_ca_topic_score_gemma":0.025628522,"teacher_disagreement_score":0.2019014,"about_ca_system_score_codex":0.0021669897,"about_ca_system_score_gemma":0.0024937585,"threshold_uncertainty_score":0.6754275},"labels":[],"label_agreement":null},{"id":"W4386583240","doi":"10.1007/s00382-023-06945-x","title":"Influence of boreal summer monsoon intraseasonal oscillations on the occurrences of Marine Heatwave events over the North Bay of Bengal","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science and Engineering Research Board","keywords":"Bay; Climatology; Monsoon; Oceanography; Boreal; BENGAL; Environmental science; Geology; Atmospheric sciences","score_opus":0.01981030011363602,"score_gpt":0.25632840724394607,"score_spread":0.23651810713031005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386583240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989133,0.000050185983,0.000048042733,0.000106162704,0.000009162726,0.0000014426482,0.00026174705,0.000008992396,0.00060086965],"genre_scores_gemma":[0.999619,0.000041865493,0.000012325946,0.000007644461,0.0000059174668,0.0000013681096,0.00011849141,0.0000028415639,0.00019043093],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99981385,0.000051180155,0.000015946007,0.00003719003,0.000021260257,0.000060586728],"domain_scores_gemma":[0.9992409,0.0002460856,0.00015623563,0.00005578121,0.00010771076,0.00019326241],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003511558,0.00022810767,0.00024028956,0.0004174453,0.00045185967,0.001199112,0.00040975644,0.00034712732,0.0021493982],"category_scores_gemma":[0.0014257026,0.0002061886,0.0003847846,0.0007284043,0.00042376414,0.00053688936,0.0007002292,0.00038753115,0.00027727862],"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":[0.00070395175,0.00013088269,0.9695169,0.000054945795,0.00030027336,0.00068188034,0.0010712112,0.01269637,0.0049291207,0.0005072689,0.00084176136,0.008565471],"study_design_scores_gemma":[0.000009154993,0.000024375278,0.99133027,0.000005395489,0.000030834224,0.000044903296,0.0006336666,0.0073810816,0.00012864734,0.00004379849,0.00035930486,0.000008651115],"about_ca_topic_score_codex":0.14782654,"about_ca_topic_score_gemma":0.14763339,"teacher_disagreement_score":0.14782654,"about_ca_system_score_codex":0.0012873834,"about_ca_system_score_gemma":0.00074707944,"threshold_uncertainty_score":0.2939322},"labels":[],"label_agreement":null},{"id":"W4387219668","doi":"10.1007/s00382-023-06966-6","title":"The warm Arctic-cold north american pattern in CanESM5 large ensemble simulations: Eurasian influence and uncertainty due to internal variability","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Climatology; Anomaly (physics); Common spatial pattern; Advection; Troposphere; Arctic; Walker circulation; Arctic oscillation; Geology; El Niño Southern Oscillation; Oceanography; Northern Hemisphere","score_opus":0.008252471066888025,"score_gpt":0.25000363078161736,"score_spread":0.24175115971472932,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387219668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99104697,0.0002839157,0.0032002947,0.00037770052,0.000076305056,0.000022050297,0.0016827505,0.00024650304,0.0030635945],"genre_scores_gemma":[0.99710673,0.0000901689,0.0012945604,0.00006417189,0.000018547416,0.000017378017,0.0010919605,0.000045875844,0.00027052467],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995059,0.0001993632,0.00003621496,0.00012576127,0.00006231627,0.00007048811],"domain_scores_gemma":[0.9985448,0.0006987791,0.00012570793,0.00020616208,0.00029054665,0.00013403942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019465662,0.0008541755,0.00065069407,0.00060730183,0.000855904,0.0013480328,0.0011783278,0.0011073843,0.0011274521],"category_scores_gemma":[0.004096817,0.00044766988,0.0009928269,0.00073787145,0.00052299595,0.0008946629,0.0006862986,0.0009598465,0.0001340584],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016577468,0.000068070774,0.072732486,0.000041747528,0.0004428177,0.0001291068,0.000053628,0.9187371,0.0014218601,0.0007709021,0.0010748414,0.004361646],"study_design_scores_gemma":[0.00006004624,0.000028640576,0.019119265,0.000014229423,0.00008718091,0.000012854514,0.000044841083,0.97923833,0.000578834,0.00027113882,0.0005156169,0.00002908544],"about_ca_topic_score_codex":0.22663534,"about_ca_topic_score_gemma":0.16959722,"teacher_disagreement_score":0.77336466,"about_ca_system_score_codex":0.0012496915,"about_ca_system_score_gemma":0.0018533831,"threshold_uncertainty_score":0.45063233},"labels":[],"label_agreement":null},{"id":"W4387398196","doi":"10.1007/s00382-023-06957-7","title":"The weakening AMOC under extreme climate change","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Norges Forskningsråd; Universitetet i Oslo","keywords":"Ocean gyre; Climatology; Oceanography; Current (fluid); Upwelling; Shutdown of thermohaline circulation; Coupled model intercomparison project; Climate change; Geology; Environmental science; Climate model; Forcing (mathematics); North Atlantic Deep Water; Thermohaline circulation; Subtropics; Fishery","score_opus":0.06022215681862158,"score_gpt":0.26376500252527313,"score_spread":0.20354284570665154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387398196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99809176,0.000020515603,0.00033105674,0.00012345031,0.000018815712,0.0000049095374,0.00017170544,0.00002403291,0.0012137435],"genre_scores_gemma":[0.9996896,0.000010431705,0.000069139955,0.000021986854,0.000003517732,0.0000029200173,0.000077627235,0.0000030516073,0.00012167129],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998752,0.000028098013,0.000008902996,0.000025295172,0.000015538862,0.000046930014],"domain_scores_gemma":[0.9996387,0.00007166176,0.000068728594,0.000053269527,0.000055934703,0.000111698246],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036580546,0.00024911683,0.00028830997,0.00022154943,0.00039350786,0.00078151055,0.0002556262,0.00044297814,0.0017073157],"category_scores_gemma":[0.0014865899,0.00014333706,0.00031614772,0.00021758696,0.00045128437,0.0005179089,0.00064792536,0.00054101495,0.00014074131],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001870579,0.0004549614,0.44638884,0.00015060771,0.0005540503,0.00078579807,0.00046653557,0.45624062,0.06136749,0.007550748,0.004363766,0.019806],"study_design_scores_gemma":[0.00013667194,0.0005339214,0.5324578,0.000024050638,0.00009154926,0.00014558007,0.0005667034,0.45326003,0.006132872,0.0037649684,0.0028235582,0.000062224084],"about_ca_topic_score_codex":0.010922013,"about_ca_topic_score_gemma":0.0084314905,"teacher_disagreement_score":0.010922013,"about_ca_system_score_codex":0.00050079584,"about_ca_system_score_gemma":0.00029009944,"threshold_uncertainty_score":0.021716893},"labels":[],"label_agreement":null},{"id":"W4388408057","doi":"10.1007/s00382-023-06996-0","title":"Multilevel factorial analysis for effects of SSPs and GCMs on regional climate change: a case study for the Yangtze River Basin","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Plateau (mathematics); Environmental science; Climatology; Precipitation; Climate change; Spatial distribution; Yangtze river; Physical geography; Geography; China; Meteorology; Geology; Mathematics","score_opus":0.056794731976055425,"score_gpt":0.30847456172169874,"score_spread":0.2516798297456433,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388408057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9621401,0.00028299852,0.033467826,0.00030427167,0.000050568608,0.00009807992,0.00071538973,0.00017542092,0.0027653624],"genre_scores_gemma":[0.9888433,0.0000252886,0.010257563,0.000023448005,0.000015533446,0.00008141708,0.00021389996,0.000044285247,0.00049520395],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9929664,0.0044993907,0.00016521438,0.001168482,0.00053924264,0.0006612162],"domain_scores_gemma":[0.95907104,0.034732655,0.0012180288,0.002055953,0.002020737,0.0009014802],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0063184975,0.0005091868,0.0010933044,0.0012347291,0.0017452138,0.0017342485,0.0009140996,0.0007820909,0.0076707657],"category_scores_gemma":[0.021167623,0.00020994153,0.003285026,0.0011680847,0.00088953355,0.0012531052,0.001844488,0.0011733795,0.00029501898],"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":[0.0041893576,0.0015502179,0.7122867,0.00039927146,0.0066620554,0.0016588069,0.003036511,0.056700755,0.01780337,0.05170588,0.004596978,0.13940996],"study_design_scores_gemma":[0.00019043084,0.001671325,0.58140707,0.00007403778,0.002112488,0.00021163392,0.002348738,0.3838187,0.0030039845,0.021583397,0.0033730557,0.00020516901],"about_ca_topic_score_codex":0.030691648,"about_ca_topic_score_gemma":0.035824,"teacher_disagreement_score":0.030691648,"about_ca_system_score_codex":0.0014125757,"about_ca_system_score_gemma":0.0017566645,"threshold_uncertainty_score":0.061026037},"labels":[],"label_agreement":null},{"id":"W4389082339","doi":"10.1007/s00382-023-06986-2","title":"Uncertainties in the Arctic Ocean response to CO$$_2$$: a process-based analysis","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","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 Victoria; York University","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Climatology; Arctic; Ocean heat content; Arctic dipole anomaly; Shutdown of thermohaline circulation; Thermohaline circulation; Environmental science; Ocean current; Global warming; Effects of global warming on oceans; Latitude; Climate model; Oceanography; Arctic sea ice decline; Anticyclone; Climate change; Sea ice; Geology; Arctic ice pack; North Atlantic Deep Water; Drift ice","score_opus":0.017774042471728493,"score_gpt":0.2940041360593436,"score_spread":0.27623009358761513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389082339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9891011,0.000068757625,0.008901731,0.00010699087,0.0000171959,0.000023585604,0.0008148473,0.00007686439,0.00088892423],"genre_scores_gemma":[0.99838185,0.000017388395,0.0010016361,0.0000103611355,0.000008561959,0.000014221219,0.0004574751,0.000010111406,0.00009829725],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990007,0.00041444952,0.00005297976,0.0002570295,0.00020525076,0.00006964278],"domain_scores_gemma":[0.9965469,0.0022721025,0.00032273182,0.00037160094,0.00041528247,0.00007125612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00457315,0.0005579314,0.00051687594,0.0008020882,0.00051179325,0.0011863151,0.0006572423,0.0007131814,0.0006896667],"category_scores_gemma":[0.0056056674,0.0003430386,0.0014202427,0.00082665216,0.0005308054,0.00091647095,0.0007673578,0.00069210824,0.00006901263],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026674895,0.0000794067,0.05543796,0.000029616309,0.00041715198,0.000056561705,0.000040215495,0.9347764,0.0023775573,0.0018344632,0.00027602186,0.0044079213],"study_design_scores_gemma":[0.000018215873,0.000063621075,0.04352909,0.000003770637,0.00008426936,0.000010975101,0.000023938697,0.95276403,0.0015763525,0.0015580031,0.00033618175,0.00003159851],"about_ca_topic_score_codex":0.023137111,"about_ca_topic_score_gemma":0.009772546,"teacher_disagreement_score":0.023137111,"about_ca_system_score_codex":0.0010720376,"about_ca_system_score_gemma":0.0005849757,"threshold_uncertainty_score":0.04600489},"labels":[],"label_agreement":null},{"id":"W4390055931","doi":"10.1007/s00382-023-07027-8","title":"Exceptional sea ice loss leading to anomalously deep winter convection north of Svalbard in 2018","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Environment and Climate Change Canada; China Scholarship Council; Western Canada Research Grid; Compute Canada","keywords":"Geology; Sea ice; Arctic ice pack; Arctic sea ice decline; Climatology; Drift ice; Arctic dipole anomaly; Antarctic sea ice; Oceanography; Arctic geoengineering; North Atlantic Deep Water; Lead (geology); Arctic; Thermohaline circulation","score_opus":0.012343020564225851,"score_gpt":0.2298789746444469,"score_spread":0.21753595408022106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390055931","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99945205,0.0000262964,0.00006573608,0.0000313727,0.00000925105,0.0000016390546,0.00014391461,0.000014487393,0.00025516565],"genre_scores_gemma":[0.9995995,0.000016510487,0.000058149628,0.000004183201,0.0000044706826,0.0000019539666,0.00024238117,0.0000030824817,0.00006968825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99991345,0.0000063625334,0.00000860113,0.000020639573,0.000013317843,0.000037599624],"domain_scores_gemma":[0.99990463,0.000013005138,0.000028502547,0.0000083327395,0.00001403277,0.000031447104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012455438,0.00025577587,0.0003238237,0.00037066583,0.00050688785,0.0007760633,0.00026288218,0.00047937353,0.00060906226],"category_scores_gemma":[0.00037889896,0.00014346137,0.00041982374,0.00021725008,0.0003200904,0.00035214928,0.00055241806,0.00027322056,0.00014927027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007501859,0.0002073653,0.929351,0.000082535604,0.00014696873,0.003047083,0.0003191752,0.037349455,0.019072251,0.00048025823,0.0011831619,0.008010538],"study_design_scores_gemma":[0.00006621025,0.0001200511,0.93480676,0.00003129938,0.00007913296,0.00039992985,0.00080912147,0.05580245,0.006048767,0.0002577426,0.00155566,0.000022807882],"about_ca_topic_score_codex":0.030102955,"about_ca_topic_score_gemma":0.023973841,"teacher_disagreement_score":0.030102955,"about_ca_system_score_codex":0.00073457917,"about_ca_system_score_gemma":0.0005106932,"threshold_uncertainty_score":0.05985552},"labels":[],"label_agreement":null},{"id":"W4390114657","doi":"10.1007/s00382-023-06989-z","title":"A new conceptual model of global ocean heat uptake","year":2023,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Japan Society for the Promotion of Science; U.S. Department of Energy; Natural Environment Research Council; Sight Research UK; European Research Council; Japan Advanced Institute of Science and Technology","keywords":"Latitude; Zonal and meridional; Climatology; Ocean heat content; Ocean general circulation model; Environmental science; Atmospheric sciences; Forcing (mathematics); General Circulation Model; Geology; Ocean current; Climate change; Oceanography","score_opus":0.025944131737300546,"score_gpt":0.2566145180920423,"score_spread":0.23067038635474174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390114657","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":[0.1473719,0.0007431698,0.78308105,0.0062290397,0.0005309385,0.00011013132,0.0018286502,0.0006111621,0.05949397],"genre_scores_gemma":[0.94274795,0.00039880973,0.04179654,0.00045520748,0.00022202238,0.00034789112,0.00050151465,0.00012299548,0.013407022],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998196,0.00005916614,0.0000076133765,0.000055991044,0.000036576286,0.000021086118],"domain_scores_gemma":[0.9997906,0.000070089845,0.000029111436,0.000031421452,0.000046083675,0.000032638785],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048796853,0.00055655173,0.00039491372,0.00038232873,0.00038808072,0.0016388999,0.0017580388,0.00112841,0.0047484166],"category_scores_gemma":[0.00095259194,0.00028282034,0.0010167733,0.00061264104,0.0011208017,0.0023728656,0.001201473,0.0009947949,0.00039177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025274592,0.000017082653,0.0006609186,0.00004148689,0.000033522534,0.000092155286,0.00010572509,0.58345985,0.0013191403,0.40980804,0.0012788993,0.003157872],"study_design_scores_gemma":[0.000030736835,0.000026483343,0.00020700731,0.00000954077,0.000014178527,0.000030538267,0.000037807855,0.91212714,0.00017961932,0.0807011,0.006619779,0.00001614748],"about_ca_topic_score_codex":0.004705752,"about_ca_topic_score_gemma":0.002893297,"teacher_disagreement_score":0.0047484166,"about_ca_system_score_codex":0.0012111161,"about_ca_system_score_gemma":0.0010409763,"threshold_uncertainty_score":0.015884995},"labels":[],"label_agreement":null},{"id":"W4390618063","doi":"10.1007/s00382-023-07052-7","title":"Origins of the intraseasonal variability contributing to the extreme rainfall in Henan Province of China in July 2021","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Forming Technologies (Canada)","funders":"National Natural Science Foundation of China","keywords":"Climatology; Anomaly (physics); Latitude; Anticyclone; Convection; Sea surface temperature; Geology; Zonal and meridional; Low latitude; Environmental science; Atmospheric sciences; Geography; Meteorology","score_opus":0.009403544500514142,"score_gpt":0.23168058460433977,"score_spread":0.22227704010382562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390618063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982358,0.00009995845,0.0001607563,0.00022328318,0.0000077391405,0.0000037921336,0.0002398979,0.000011612885,0.0010170348],"genre_scores_gemma":[0.99925095,0.00004750636,0.000046437046,0.00001231813,0.000008682697,0.0000028930522,0.00026708664,0.000004420171,0.0003596313],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99986565,0.000014269029,0.0000075039843,0.000032869713,0.000023829607,0.00005578778],"domain_scores_gemma":[0.99968255,0.00004076098,0.00007604195,0.000020026584,0.000107456246,0.00007317278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036183852,0.00024014046,0.0001981585,0.0010641058,0.00083686545,0.00069683074,0.00039388787,0.00028737856,0.0009987663],"category_scores_gemma":[0.0005652533,0.0002312779,0.0003132737,0.0013843977,0.00039769465,0.0002706089,0.00059140247,0.0003567543,0.00006925716],"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":[0.00011294416,0.000044975597,0.96803176,0.000046976416,0.00017522452,0.00072409067,0.0014349492,0.007501472,0.0056625996,0.0027638222,0.0016983021,0.011802884],"study_design_scores_gemma":[0.0000026608748,0.000004777827,0.9939144,0.0000041098456,0.00001569709,0.000026240235,0.0002870914,0.0043834005,0.00018878543,0.00016932852,0.0009950842,0.000008476751],"about_ca_topic_score_codex":0.1561026,"about_ca_topic_score_gemma":0.2163156,"teacher_disagreement_score":0.1561026,"about_ca_system_score_codex":0.001905061,"about_ca_system_score_gemma":0.0015114011,"threshold_uncertainty_score":0.31038797},"labels":[],"label_agreement":null},{"id":"W4391025577","doi":"10.1007/s00382-024-07116-2","title":"Exploring evolutionary patterns in the teleconnections between Indian summer monsoon rainfall and Indian Ocean dipole over decades","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Teleconnection; Climatology; Indian Ocean Dipole; Indian ocean; Monsoon; Monsoon of South Asia; Environmental science; Oceanography; El Niño Southern Oscillation; Geology","score_opus":0.047943139723333535,"score_gpt":0.2644511241892099,"score_spread":0.21650798446587638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391025577","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990946,0.00004464589,0.00023934526,0.000076436765,0.0000026147843,8.1758077e-7,0.00013463505,0.0000047952685,0.00040213752],"genre_scores_gemma":[0.99951947,0.00003764511,0.000110339555,0.000008321399,0.0000019047026,0.000001255007,0.00016877145,0.0000031323975,0.00014913503],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988246,0.000038305156,0.0000054176053,0.00003940052,0.000008696756,0.00002580841],"domain_scores_gemma":[0.99936277,0.0003302219,0.00013102392,0.00005997602,0.0000565467,0.000059447004],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006039085,0.00013266467,0.0001097999,0.00057979795,0.00038163213,0.00074684917,0.00035903635,0.00037168665,0.002010038],"category_scores_gemma":[0.0021093946,0.00017505369,0.00037902308,0.0009958916,0.00037708445,0.0005508783,0.00047628273,0.00054227206,0.00015761126],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022571541,0.00007623488,0.9280985,0.000034477885,0.00040960946,0.0001927028,0.00077009626,0.046381693,0.005197159,0.0041681244,0.00062649656,0.013819112],"study_design_scores_gemma":[0.000015314059,0.000035799072,0.925736,0.000014323228,0.00007330748,0.000091105256,0.0009841877,0.06966909,0.00041924606,0.0015389635,0.0014035653,0.000019183382],"about_ca_topic_score_codex":0.016104136,"about_ca_topic_score_gemma":0.025690053,"teacher_disagreement_score":0.016104136,"about_ca_system_score_codex":0.0005766398,"about_ca_system_score_gemma":0.00032916054,"threshold_uncertainty_score":0.032020807},"labels":[],"label_agreement":null},{"id":"W4391594137","doi":"10.1007/s00382-023-07068-z","title":"Drivers of coupled climate model biases in representing Labrador Sea convection","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","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":"Climate Program Office; National Oceanic and Atmospheric Administration; U.S. Department of Energy","keywords":"Ocean gyre; Climatology; Stratification (seeds); Climate model; Boundary current; Ocean current; Forcing (mathematics); Ocean dynamics; Convection; Oceanography; Thermohaline circulation; Ocean heat content; Geology; Environmental science; Climate change; Meteorology; Geography; Subtropics","score_opus":0.021188640740900398,"score_gpt":0.26672633201612855,"score_spread":0.24553769127522815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391594137","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949824,0.00015375004,0.002080684,0.00019380002,0.000016886981,0.000012274134,0.0009210049,0.000096292424,0.0015430322],"genre_scores_gemma":[0.9983467,0.000052495197,0.00078016205,0.000037427923,0.000004923945,0.000008082323,0.00061100925,0.000019047235,0.00014022301],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941766,0.00031531145,0.000043506363,0.00010475083,0.000046445326,0.000072378265],"domain_scores_gemma":[0.9992046,0.00037743902,0.000118621225,0.00014426079,0.00011478987,0.000040258623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016943426,0.0004305011,0.00042611422,0.00057974295,0.0002945095,0.0016583367,0.00066736725,0.0004716343,0.000791994],"category_scores_gemma":[0.0041399477,0.00028478008,0.0007596358,0.0006507827,0.00036756363,0.00090390665,0.0008803647,0.0004553643,0.00012902237],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032412546,0.0000810694,0.43695602,0.000075309734,0.00055711356,0.000077152275,0.00023714826,0.5432993,0.00438857,0.0026257068,0.0010311084,0.0103472555],"study_design_scores_gemma":[0.00012915563,0.0001002539,0.17050381,0.00007002655,0.00018070449,0.000038211438,0.0004597765,0.82023466,0.003006556,0.0024854392,0.002714911,0.000076407465],"about_ca_topic_score_codex":0.0627856,"about_ca_topic_score_gemma":0.060117614,"teacher_disagreement_score":0.0627856,"about_ca_system_score_codex":0.0010130077,"about_ca_system_score_gemma":0.0008288256,"threshold_uncertainty_score":0.12484026},"labels":[],"label_agreement":null},{"id":"W4391972146","doi":"10.1007/s00382-024-07122-4","title":"Understanding of CMIP6 surface temperature cold bias over the westerly and monsoon regions of the Tibetan Plateau","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Key Technologies Research and Development Program; China Scholarship Council; Shanghai Municipal Education Commission","keywords":"Albedo (alchemy); Environmental science; Climatology; Coupled model intercomparison project; Atmospheric sciences; Snow; Shortwave radiation; Shortwave; Plateau (mathematics); Climate model; Latent heat; Troposphere; Precipitation; Monsoon; Westerlies; Water vapor; Longwave; Climate change; Radiative transfer; Meteorology; Geology; Radiation; Geography","score_opus":0.051265889304148146,"score_gpt":0.24786138490364798,"score_spread":0.19659549559949985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391972146","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878199,0.00079470116,0.0025858844,0.0019040969,0.00004161651,0.0000071572845,0.0013610328,0.000119820645,0.005365794],"genre_scores_gemma":[0.99877495,0.00014119141,0.00039253404,0.000066767854,0.000031892327,0.000003077822,0.00035660857,0.000012996071,0.00021987877],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999137,0.000024002911,0.000006101257,0.00002504167,0.000008484986,0.000022658889],"domain_scores_gemma":[0.9997514,0.00007449257,0.000051223833,0.00003340553,0.000051669227,0.000037793507],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008049683,0.00034965953,0.00020026155,0.00043045697,0.00035546656,0.0010160011,0.00055800215,0.00060477393,0.002288891],"category_scores_gemma":[0.0014288389,0.00020593985,0.00030290525,0.0007014925,0.00030919115,0.0011563126,0.00033544685,0.0004731209,0.00014229584],"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":[0.00032340584,0.00013412224,0.70847255,0.00017272295,0.000293736,0.00025639444,0.00071517436,0.21549596,0.020174539,0.019762132,0.0029592281,0.031240102],"study_design_scores_gemma":[0.000049376842,0.000031277425,0.55681956,0.00004817005,0.000048174737,0.000059429567,0.00049455947,0.4258869,0.001012537,0.012469807,0.003038186,0.000041995198],"about_ca_topic_score_codex":0.06519643,"about_ca_topic_score_gemma":0.047377016,"teacher_disagreement_score":0.06519643,"about_ca_system_score_codex":0.0010496095,"about_ca_system_score_gemma":0.0010021448,"threshold_uncertainty_score":0.1296339},"labels":[],"label_agreement":null},{"id":"W4395691520","doi":"10.1007/s00382-024-07231-0","title":"Responses of the tropical easterly jet to distinct patterns of tropical Pacific SST anomaly in boreal summer","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Forming Technologies (Canada)","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Climatology; African easterly jet; Anomaly (physics); Tropical Atlantic; Boreal; Tropical cyclone; Tropical wave; Tropics; Environmental science; Geology; Sea surface temperature; Ecology; Biology; Physics","score_opus":0.0174622712914494,"score_gpt":0.25847355825913576,"score_spread":0.24101128696768637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395691520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994267,0.000021281374,0.00004396946,0.00004397504,0.000008483611,0.0000023757518,0.0001127237,0.000008314352,0.0003323257],"genre_scores_gemma":[0.999673,0.00001887743,0.00002909627,0.00001207134,0.000005603579,0.0000022976615,0.0001502964,0.0000037448478,0.00010510576],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990773,0.000018647293,0.0000060749767,0.0000238594,0.000009833202,0.000033950135],"domain_scores_gemma":[0.9995981,0.000108453285,0.00007910864,0.000026124904,0.000046836984,0.00014143517],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002956176,0.0002316546,0.00022939143,0.0002212617,0.000389519,0.00075800484,0.00023558529,0.00042417538,0.0015750389],"category_scores_gemma":[0.00094966486,0.00022641731,0.00035387688,0.00026613867,0.0003446601,0.00036524984,0.00032117404,0.00045764452,0.00014252655],"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":[0.0026287786,0.00056442834,0.89628154,0.00006744833,0.00030413858,0.0004055508,0.0008859797,0.026985444,0.060101897,0.0008345832,0.0018206622,0.0091195945],"study_design_scores_gemma":[0.000018862545,0.000048100228,0.99132127,0.0000020603193,0.000014602589,0.000026177542,0.00015298238,0.007937462,0.0002533243,0.00008585045,0.00013214885,0.000007076343],"about_ca_topic_score_codex":0.023737835,"about_ca_topic_score_gemma":0.02320637,"teacher_disagreement_score":0.023737835,"about_ca_system_score_codex":0.0004899141,"about_ca_system_score_gemma":0.00025899522,"threshold_uncertainty_score":0.04719937},"labels":[],"label_agreement":null},{"id":"W4396667314","doi":"10.1007/s00382-024-07260-9","title":"A stepwise-clustered copula downscaling approach for ensemble analyses of discrete and interactive features in precipitation-extreme variations: a case study for eastern China","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Downscaling; Climatology; Copula (linguistics); Precipitation; Environmental science; China; Econometrics; Meteorology; Geology; Mathematics; Geography","score_opus":0.04861233292046407,"score_gpt":0.3429979619990102,"score_spread":0.29438562907854615,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396667314","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":[0.33998495,0.000249935,0.6562083,0.00018045664,0.000049277816,0.00011861912,0.0005013495,0.00092859456,0.0017784819],"genre_scores_gemma":[0.67567915,0.00011402666,0.3222911,0.000037168,0.000030247009,0.00008974816,0.0007122263,0.00019902083,0.00084724446],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997179,0.00011852834,0.000020352029,0.00006362681,0.00004553383,0.000033994707],"domain_scores_gemma":[0.9991541,0.00032770805,0.000055606088,0.00014478332,0.00028034954,0.000037366037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011464554,0.00061021536,0.00052201084,0.0007213335,0.000702725,0.0005515174,0.00092676,0.0004727681,0.0012185159],"category_scores_gemma":[0.0026252288,0.00026494925,0.0010322782,0.0010388552,0.00018614659,0.0005146026,0.0006442402,0.0007055804,0.00022193635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018780581,0.00025004466,0.021231765,0.000088789435,0.000577562,0.00041003193,0.00029092038,0.724409,0.010693926,0.0050795632,0.0026224742,0.23415816],"study_design_scores_gemma":[0.000007754703,0.000017578326,0.0033093917,0.0000024275664,0.00003463565,0.000021972235,0.000021993033,0.9947449,0.0007789923,0.00078576466,0.00026315503,0.000011404515],"about_ca_topic_score_codex":0.022535125,"about_ca_topic_score_gemma":0.040816292,"teacher_disagreement_score":0.022535125,"about_ca_system_score_codex":0.00026576262,"about_ca_system_score_gemma":0.001024202,"threshold_uncertainty_score":0.04480791},"labels":[],"label_agreement":null},{"id":"W4396673626","doi":"10.1007/s00382-024-07233-y","title":"Downscaling the ocean response to the Madden–Julian Oscillation in the Northwest Atlantic and adjacent shelf seas","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Marine Environmental Observation Prediction and Response Network","keywords":"Madden–Julian oscillation; Downscaling; Climatology; Oceanography; Geology; Environmental science; Meteorology; Climate change; Geography; Convection","score_opus":0.010604482982799252,"score_gpt":0.23842196024364964,"score_spread":0.2278174772608504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396673626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99164647,0.00009475503,0.0064903577,0.00009742335,0.000022915023,0.0000058485402,0.00027338276,0.00011496115,0.0012538992],"genre_scores_gemma":[0.99740285,0.00005151153,0.0020258017,0.000008824736,0.000006796316,0.0000031908269,0.00022365626,0.000012199978,0.0002651823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999709,0.000007155692,0.000002061238,0.000008599098,0.00000727396,0.0000039781],"domain_scores_gemma":[0.9999261,0.000020260437,0.000018378187,0.000008699225,0.000018003171,0.000008554904],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014961096,0.00023257526,0.00011405798,0.000135823,0.00013299906,0.0002885627,0.00021416487,0.0001306793,0.0003914562],"category_scores_gemma":[0.00054820796,0.00011194017,0.0002429816,0.00016727622,0.00009927174,0.00025014215,0.00019728809,0.00019693119,0.00006648864],"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":[0.000078182835,0.000048376787,0.12753147,0.00002085147,0.00010425427,0.000060373488,0.000034867495,0.8434682,0.007840684,0.0010317022,0.0006619143,0.0191192],"study_design_scores_gemma":[0.000007603416,0.000014113164,0.038697336,0.0000023773484,0.000011415594,0.0000042575425,0.00001329136,0.95989394,0.0007595974,0.0002492286,0.00034224303,0.0000046547552],"about_ca_topic_score_codex":0.06554699,"about_ca_topic_score_gemma":0.0775519,"teacher_disagreement_score":0.06554699,"about_ca_system_score_codex":0.00034913374,"about_ca_system_score_gemma":0.0006145234,"threshold_uncertainty_score":0.13033092},"labels":[],"label_agreement":null},{"id":"W4396833952","doi":"10.1007/s00382-024-07232-z","title":"Evaluation of the convection permitting regional climate model CNRM-AROME on the orographically complex island of Corsica","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Agence Nationale de la Recherche","keywords":"Orography; Climatology; Mesoscale meteorology; Precipitation; Diurnal cycle; Climate model; Environmental science; Convection; Orographic lift; Hindcast; Atmospheric sciences; Climate change; Geology; Meteorology; Geography; Oceanography","score_opus":0.060268714296293546,"score_gpt":0.2872680734093054,"score_spread":0.22699935911301183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396833952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927245,0.00007430639,0.0017200152,0.00014974359,0.000037307374,0.00004330097,0.0015031813,0.0003787308,0.003369075],"genre_scores_gemma":[0.99606115,0.000030204728,0.0022895269,0.000031650387,0.000007690766,0.000036850495,0.0011517714,0.00004357689,0.00034758696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99973446,0.00010455575,0.000015500935,0.0000668118,0.000029057433,0.0000495993],"domain_scores_gemma":[0.9993262,0.00027895224,0.00005703934,0.00010467355,0.00013568015,0.000097448006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010160117,0.0009137758,0.0007173533,0.00025811713,0.00034390143,0.0008114332,0.0011763031,0.00087981543,0.0016603993],"category_scores_gemma":[0.0016274902,0.0002808186,0.0006786971,0.00037598965,0.0003386445,0.00039198948,0.00054425607,0.0006970616,0.00020513007],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025922028,0.00012341536,0.0100152055,0.00004609958,0.000071262744,0.00008696408,0.000029973318,0.98401237,0.0018199628,0.0003036627,0.00043640984,0.002795485],"study_design_scores_gemma":[0.00015110197,0.00010593974,0.005935149,0.000007534031,0.000022922857,0.000009308949,0.000025306808,0.9925088,0.00071794307,0.00007218568,0.00043238624,0.000011337923],"about_ca_topic_score_codex":0.09380185,"about_ca_topic_score_gemma":0.04129017,"teacher_disagreement_score":0.09380185,"about_ca_system_score_codex":0.0012967316,"about_ca_system_score_gemma":0.0011427538,"threshold_uncertainty_score":0.18651175},"labels":[],"label_agreement":null},{"id":"W4400092664","doi":"10.1007/s00382-024-07283-2","title":"Interdecadal variations and possible causes of rain belt’s advancing velocity in Eastern China based on evolutionary circulation pattern","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria; Pacific Institute for Climate Solutions","funders":"National Natural Science Foundation of China","keywords":"Climatology; Circulation (fluid dynamics); China; Atmospheric circulation; Walker circulation; Geology; Environmental science; Atmospheric sciences; Geography; El Niño Southern Oscillation","score_opus":0.01158419958118124,"score_gpt":0.23345328562993878,"score_spread":0.22186908604875755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400092664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996049,0.000038776314,0.000043634194,0.000024961106,0.0000029482799,0.0000012837979,0.000094084346,0.0000025041375,0.00018684551],"genre_scores_gemma":[0.9996455,0.000033062024,0.000026926753,0.000004813945,0.0000034804373,0.0000015368049,0.0001555576,0.00000100083,0.00012826509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998615,0.000013517476,0.000017434671,0.00004728612,0.000018206707,0.00004203766],"domain_scores_gemma":[0.9996158,0.000053947948,0.00012026899,0.000037530084,0.00007093969,0.00010156033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003739596,0.00017688508,0.00016520433,0.0012695446,0.00043572567,0.00060425827,0.0002899059,0.00019669697,0.0010418211],"category_scores_gemma":[0.0006270586,0.0001819763,0.00035032118,0.0013199652,0.0003225773,0.000475176,0.0004451558,0.00021108321,0.00008255477],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002809528,0.000010520479,0.9957671,0.0000066380435,0.000056956487,0.000084540996,0.00034793885,0.0003455505,0.0010985533,0.00015877931,0.00008630869,0.0020090458],"study_design_scores_gemma":[0.0000010311816,0.0000037043374,0.99898785,0.0000013654998,0.000010118672,0.000011807946,0.00014108878,0.00068799226,0.00003631205,0.000026434967,0.0000903298,0.000001829427],"about_ca_topic_score_codex":0.029350061,"about_ca_topic_score_gemma":0.04560243,"teacher_disagreement_score":0.029350061,"about_ca_system_score_codex":0.00055964425,"about_ca_system_score_gemma":0.0004833328,"threshold_uncertainty_score":0.05835849},"labels":[],"label_agreement":null},{"id":"W4400317102","doi":"10.1007/s00382-024-07325-9","title":"Exploring the influence of improved horizontal resolution on extreme precipitation in Southern Africa major river basins: insights from CMIP6 HighResMIP simulations","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Climatology; Precipitation; Horizontal resolution; Geology; Environmental science; Meteorology; Geography","score_opus":0.04373206109341975,"score_gpt":0.23350835866728953,"score_spread":0.18977629757386977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400317102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99717915,0.00013890852,0.00035588536,0.00050280243,0.000013230767,0.000005552251,0.00034917405,0.00003331148,0.001422089],"genre_scores_gemma":[0.99939144,0.000059764996,0.0002757048,0.000025572715,0.000007666512,0.0000034966479,0.000136088,0.000013191568,0.000087211774],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997558,0.00011031229,0.000016185955,0.000036465743,0.000021970807,0.000059310096],"domain_scores_gemma":[0.99897146,0.00063786557,0.00010051418,0.000114340975,0.00009299349,0.00008285498],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009981884,0.00041635515,0.00033518745,0.00032880268,0.00050382374,0.001080555,0.0009288865,0.0011561167,0.0017297973],"category_scores_gemma":[0.0040840665,0.0003723813,0.0005132679,0.0006990283,0.00056057953,0.001017454,0.0005954485,0.0007346443,0.00011250444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004153103,0.00027978027,0.14821249,0.00012871248,0.00032021885,0.00045155195,0.00032156048,0.826686,0.0070832693,0.0047219857,0.0014029628,0.009976173],"study_design_scores_gemma":[0.00026587077,0.00008728052,0.13389589,0.000056246772,0.00012934678,0.00004911267,0.00050639984,0.85947216,0.0021939443,0.0018601004,0.0014334468,0.000050247912],"about_ca_topic_score_codex":0.07467041,"about_ca_topic_score_gemma":0.051383227,"teacher_disagreement_score":0.07467041,"about_ca_system_score_codex":0.0010068681,"about_ca_system_score_gemma":0.00081809924,"threshold_uncertainty_score":0.14847153},"labels":[],"label_agreement":null},{"id":"W4400733934","doi":"10.1007/s00382-024-07336-6","title":"Shifts from surface density compensation to projected warming, freshening and stronger stratification in the subpolar North Atlantic","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Environment Research Council; Sight Research UK; University of Alberta","keywords":"Stratification (seeds); Thermohaline circulation; Climatology; Salinity; Oceanography; Subtropical front; Hydrography; Water column; Geology; Environmental science; Temperature salinity diagrams; Climate model; Water mass; Climate change","score_opus":0.011290544011205533,"score_gpt":0.21581497952465054,"score_spread":0.204524435513445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400733934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993844,0.000016250195,0.00006642013,0.000053791788,0.0000023724429,0.000001440173,0.00013107611,0.000007160223,0.00033708976],"genre_scores_gemma":[0.999678,0.000013360636,0.00003490824,0.000011407292,0.0000011931338,0.0000010680179,0.00013663872,0.0000012424603,0.00012220282],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999428,0.000013525203,0.0000033945803,0.000017016388,0.000008725651,0.000014668271],"domain_scores_gemma":[0.9998634,0.000025639896,0.000033161483,0.000010438375,0.000034131783,0.00003323379],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021978503,0.00019961929,0.00012172758,0.0001781668,0.00017031339,0.00058926526,0.00021850421,0.00032132104,0.0014691602],"category_scores_gemma":[0.00058612507,0.00013945617,0.00031564807,0.00022077911,0.00022452702,0.00023931236,0.0002751411,0.00021968887,0.00013362041],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003833362,0.000091205795,0.90871125,0.00004059742,0.0001507237,0.00020892732,0.00023284086,0.07006871,0.012113127,0.0004895047,0.0008065773,0.006703247],"study_design_scores_gemma":[0.000025179581,0.000099650635,0.9377432,0.0000075860353,0.00004025896,0.000043639426,0.00044037832,0.05941176,0.0013635365,0.00024440043,0.0005688401,0.000011537951],"about_ca_topic_score_codex":0.06415301,"about_ca_topic_score_gemma":0.066573426,"teacher_disagreement_score":0.06415301,"about_ca_system_score_codex":0.00078844506,"about_ca_system_score_gemma":0.0004158609,"threshold_uncertainty_score":0.12755919},"labels":[],"label_agreement":null},{"id":"W4401336215","doi":"10.1007/s00382-024-07341-9","title":"Quantile delta-mapped spatial disaggregation analysis for summertime compound extremes over China","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Climatology; Quantile; China; Delta; Environmental science; Climate extremes; Geology; Meteorology; Geography; Precipitation; Econometrics; Mathematics; Physics","score_opus":0.01708587284221787,"score_gpt":0.2701951505985841,"score_spread":0.25310927775636627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401336215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398947,0.00009242371,0.0036209566,0.00005881547,0.000005573177,0.0000053791205,0.0014950534,0.0001258211,0.00060643075],"genre_scores_gemma":[0.99818605,0.000023380697,0.0006511572,0.0000038882704,0.0000027531553,0.000003673912,0.00095170835,0.000007820827,0.0001696225],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999008,0.00001938174,0.000004695537,0.000030306013,0.000013807967,0.000030974083],"domain_scores_gemma":[0.99971205,0.00007784798,0.000034272212,0.00005858011,0.00008370584,0.00003352961],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003810363,0.00025808465,0.0003258093,0.00071545335,0.00024425724,0.00041839684,0.00040482596,0.00023769827,0.0013743868],"category_scores_gemma":[0.0006541702,0.0001696453,0.00042418164,0.0011825851,0.00018300676,0.0003006353,0.00038415802,0.00024441475,0.0001032498],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003004514,0.00010173347,0.19844164,0.000051782787,0.00017626146,0.00024192767,0.00018175221,0.7641755,0.00212078,0.0024664046,0.0022820807,0.02945977],"study_design_scores_gemma":[0.00001773193,0.000012730739,0.13411367,0.000003982327,0.000025082125,0.000022085009,0.00010103827,0.86383325,0.00021963762,0.0011404854,0.00049728085,0.000013035238],"about_ca_topic_score_codex":0.057432782,"about_ca_topic_score_gemma":0.05394738,"teacher_disagreement_score":0.057432782,"about_ca_system_score_codex":0.00077533006,"about_ca_system_score_gemma":0.0005903257,"threshold_uncertainty_score":0.114196956},"labels":[],"label_agreement":null},{"id":"W4401419488","doi":"10.1007/s00382-024-07371-3","title":"Characteristics of convection and advection associated with the Asian Summer Monsoon Anticyclone","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"Scheme for Promotion of Academic and Research Collaboration","keywords":"Advection; Convection; Subsidence; Climatology; Outflow; Convective inhibition; Convective available potential energy; Atmospheric sciences; Anticyclone; Outgoing longwave radiation; Geology; Monsoon; Troposphere; Environmental science; Meteorology; Geography; Physics; Oceanography","score_opus":0.006558828650324997,"score_gpt":0.20026646372315043,"score_spread":0.19370763507282543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401419488","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845695,0.00008706361,0.00019534725,0.000013863474,0.0000048506304,0.000007863498,0.00017632678,0.000011346364,0.0010463034],"genre_scores_gemma":[0.99960023,0.000021598516,0.00008106131,0.000003289932,0.000005470473,0.000002799133,0.00015375079,0.0000034056138,0.0001283256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999573,0.0000044868807,0.00000515792,0.000009944901,0.0000085412785,0.000014498118],"domain_scores_gemma":[0.99954057,0.00015436985,0.00009989724,0.00002782262,0.000087041226,0.000090438756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012303094,0.00014021862,0.00014884672,0.0008074432,0.00028662253,0.000476639,0.00013008429,0.0001690796,0.000856868],"category_scores_gemma":[0.0006470895,0.00011037886,0.00013706367,0.00068246195,0.00020355075,0.00029857125,0.0002619607,0.00017689013,0.00012436118],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013260492,0.0001244489,0.863288,0.00006707019,0.00007349807,0.0006768626,0.0006555064,0.0035134878,0.11437276,0.00067876204,0.00043901705,0.0147844525],"study_design_scores_gemma":[0.000019701049,0.00007009866,0.99166006,0.0000048179777,0.000014864042,0.00020978089,0.00022448134,0.004804846,0.002458717,0.00009537273,0.00042588144,0.000011345223],"about_ca_topic_score_codex":0.0030279944,"about_ca_topic_score_gemma":0.0031249004,"teacher_disagreement_score":0.0030279944,"about_ca_system_score_codex":0.00017553891,"about_ca_system_score_gemma":0.00014921604,"threshold_uncertainty_score":0.0060207844},"labels":[],"label_agreement":null},{"id":"W4402513675","doi":"10.1007/s00382-024-07423-8","title":"Improved simulation of the influence of the North Pacific Oscillation on El Niño-Southern Oscillation in CMIP6 than in CMIP5 models","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Key Programme; National Natural Science Foundation of China","keywords":"Climatology; Oscillation (cell signaling); Madden–Julian oscillation; Geology; El Niño Southern Oscillation; Quasi-biennial oscillation; Pacific decadal oscillation; Environmental science; Meteorology; Geography; Convection","score_opus":0.012224891554648112,"score_gpt":0.23518058043332374,"score_spread":0.22295568887867562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402513675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9717139,0.0002547419,0.011584081,0.0008176554,0.00021407416,0.000045044657,0.0016481555,0.00086621114,0.012856246],"genre_scores_gemma":[0.99365604,0.00006927713,0.0047317115,0.00007973033,0.000032169177,0.0000256178,0.0005155508,0.000096074684,0.0007939068],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99968684,0.00012320995,0.000023703054,0.00005614594,0.00005074545,0.00005938773],"domain_scores_gemma":[0.9988771,0.0005464535,0.00007934509,0.00013967606,0.00024380296,0.000113698225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000783848,0.0007717171,0.00060482696,0.00029740672,0.0004965757,0.00093822414,0.0010546473,0.0011909175,0.0038187234],"category_scores_gemma":[0.0042832266,0.00047989676,0.00055103295,0.0004992392,0.00030213632,0.001056475,0.00071196444,0.0011504391,0.0002820365],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014435871,0.000075621996,0.0046990407,0.000031565873,0.000049836202,0.000045291206,0.00003236823,0.98948705,0.0014107747,0.0006678212,0.000547269,0.0028089709],"study_design_scores_gemma":[0.00005052705,0.000017106364,0.0019078552,0.000004318736,0.000016847225,0.000004705237,0.000011128308,0.9970394,0.0004937465,0.0002060233,0.00024159077,0.0000067215124],"about_ca_topic_score_codex":0.07688964,"about_ca_topic_score_gemma":0.05487862,"teacher_disagreement_score":0.07688964,"about_ca_system_score_codex":0.0009927932,"about_ca_system_score_gemma":0.0013740008,"threshold_uncertainty_score":0.15288419},"labels":[],"label_agreement":null},{"id":"W4402731752","doi":"10.1007/s00382-024-07434-5","title":"Chile Niño/Niña in the coupled model intercomparison project phases 5 and 6","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Horizon 2020 Framework Programme; National Oceanic and Atmospheric Administration; Université Toulouse III - Paul Sabatier; Workplace Safety and Insurance Board; Agencia Nacional de Investigación y Desarrollo; Agence Nationale de la Recherche; National Aeronautics and Space Administration; Center for Neuroscience and Regenerative Medicine; U.S. Department of Energy; National Science Foundation","keywords":"Thermocline; Climatology; Teleconnection; Coupled model intercomparison project; El Niño Southern Oscillation; Multivariate ENSO index; Madden–Julian oscillation; Upwelling; Environmental science; Climate model; Forcing (mathematics); Skewness; Amplitude; Atmospheric sciences; Climate change; Southern oscillation; Geology; Oceanography; Geography; Meteorology; Convection; Physics","score_opus":0.025054073028385564,"score_gpt":0.29180798105309097,"score_spread":0.2667539080247054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402731752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833928,0.00031365137,0.003948968,0.0005625621,0.00010559079,0.000082199855,0.004782929,0.00026219574,0.0065490985],"genre_scores_gemma":[0.9935906,0.000097945005,0.0019869118,0.00006763122,0.000022239285,0.0000979338,0.003389641,0.00003338334,0.00071361347],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976665,0.00012014635,0.00001366432,0.00003508988,0.000030169078,0.00003427562],"domain_scores_gemma":[0.9996099,0.000116998905,0.00008180563,0.000035971672,0.00010389827,0.000051392035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008189267,0.0005595245,0.00036471226,0.00032000893,0.000319088,0.0008536771,0.000712702,0.0005361373,0.0015722046],"category_scores_gemma":[0.0012295077,0.00026988436,0.00059998286,0.0004256573,0.00022115793,0.0005660731,0.00057707273,0.00056246057,0.0002070803],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043170212,0.00017316312,0.0832305,0.00008885327,0.00033616088,0.00017587362,0.00008219299,0.8995898,0.0015600474,0.0018217769,0.0057069957,0.006802862],"study_design_scores_gemma":[0.0002734599,0.00010923473,0.035277594,0.000034015386,0.000098879515,0.000020038577,0.00011729709,0.9583304,0.0013341634,0.0010111906,0.0033476488,0.00004605254],"about_ca_topic_score_codex":0.058483876,"about_ca_topic_score_gemma":0.035856742,"teacher_disagreement_score":0.058483876,"about_ca_system_score_codex":0.0010749394,"about_ca_system_score_gemma":0.001253519,"threshold_uncertainty_score":0.11628693},"labels":[],"label_agreement":null},{"id":"W4402920297","doi":"10.1007/s00382-024-07447-0","title":"Relationship between south Asian summer monsoon intensity and north Indian ocean tropical cyclone activity","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tropical cyclone; Climatology; Monsoon; Tropical cyclone rainfall forecasting; Tropical cyclone scales; Rainband; African easterly jet; Indian ocean; Monsoon trough; Environmental science; Geology; Oceanography; Cyclone (programming language); Tropical wave","score_opus":0.04058756781423188,"score_gpt":0.2629643949580928,"score_spread":0.22237682714386092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402920297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99860257,0.00007723684,0.000028317163,0.000049016264,0.000005753946,0.0000013791163,0.00016404926,0.0000031893987,0.0010685032],"genre_scores_gemma":[0.9993051,0.000056926354,0.00001830585,0.000013300083,0.000010242675,0.000001485971,0.00015733799,0.000001585106,0.00043574936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998658,0.000041776304,0.000017272034,0.000022702663,0.000017012055,0.000035396406],"domain_scores_gemma":[0.9980844,0.00073006115,0.00049237744,0.00009036343,0.00018754601,0.00041536527],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034682167,0.00015097037,0.00012585404,0.0005500006,0.00024974276,0.00067031314,0.00018455213,0.00022672278,0.003964416],"category_scores_gemma":[0.0015916137,0.00016811954,0.00038548233,0.00080112723,0.00024146911,0.0002922414,0.0003137944,0.00047483348,0.00042965816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005740815,0.000014735142,0.9991177,0.0000023558896,0.000042629046,0.000040472456,0.000050488154,0.000033804045,0.00015038734,0.000016206817,0.00003880997,0.00043493573],"study_design_scores_gemma":[0.0000011345596,0.000010528079,0.999617,0.0000010903193,0.0000145798695,0.000044023443,0.00013254218,0.00008534135,0.000021351132,0.000008249277,0.0000632624,9.3658184e-7],"about_ca_topic_score_codex":0.022183666,"about_ca_topic_score_gemma":0.032235038,"teacher_disagreement_score":0.022183666,"about_ca_system_score_codex":0.0002638927,"about_ca_system_score_gemma":0.00037958534,"threshold_uncertainty_score":0.044109046},"labels":[],"label_agreement":null},{"id":"W4404995315","doi":"10.1007/s00382-024-07533-3","title":"Correction: Relationship between south Asian summer monsoon intensity and north Indian ocean tropical cyclone activity","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Tropical cyclone; Climatology; Tropical cyclone rainfall forecasting; Monsoon; Indian ocean; Environmental science; Tropical cyclone scales; Monsoon trough; Oceanography; Geography; Cyclone (programming language); Geology","score_opus":0.03607607453899255,"score_gpt":0.259794867731144,"score_spread":0.22371879319215146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404995315","genre_codex":"editorial","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":[0.00069503894,0.0012048469,0.0009912378,0.026571747,0.9581327,0.00004470286,0.0092314575,0.000809989,0.0023182994],"genre_scores_gemma":[0.07275721,0.0056557977,0.008471799,0.060969513,0.3966645,0.00073522254,0.020759024,0.004380794,0.42960623],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99739957,0.0003973524,0.0005284153,0.00042729045,0.0009268143,0.00032062634],"domain_scores_gemma":[0.9519084,0.0074615665,0.0031304534,0.0034487473,0.031865593,0.002185245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032019871,0.0024849288,0.0025966454,0.0044119917,0.0021128522,0.002733143,0.0044234865,0.0034871409,0.15982728],"category_scores_gemma":[0.06313522,0.0012613131,0.001981369,0.0051271794,0.0010978966,0.0023866687,0.002243248,0.0055336663,0.053268336],"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":[0.00005206841,0.000004196752,0.00047285133,0.00021589435,0.00003298512,0.000121196,0.000024651195,0.00005604551,0.0000422902,0.0002105419,0.99427843,0.0044889036],"study_design_scores_gemma":[0.00033251877,0.00004513369,0.014718778,0.00079945923,0.00019177928,0.0009007363,0.00030496766,0.0013882068,0.00068993843,0.0015787608,0.97895825,0.000091434464],"about_ca_topic_score_codex":0.041826535,"about_ca_topic_score_gemma":0.048638318,"teacher_disagreement_score":0.15982728,"about_ca_system_score_codex":0.0028370102,"about_ca_system_score_gemma":0.0056887898,"threshold_uncertainty_score":0.5346755},"labels":[],"label_agreement":null},{"id":"W4405963410","doi":"10.1007/s00382-024-07525-3","title":"Amplified East China precipitation related to East Asia–Pacific teleconnection due to preceding circumglobal teleconnection on quasi-biweekly timescale","year":2024,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Forming Technologies (Canada)","funders":"National Natural Science Foundation of China","keywords":"Teleconnection; Precipitation; Climatology; Environmental science; East Asia; Precipitation types; Coupled model intercomparison project; Atmospheric sciences; China; Geology; Climate model; Climate change; Oceanography; Geography; El Niño Southern Oscillation; Meteorology","score_opus":0.010615219463942949,"score_gpt":0.2422229743111309,"score_spread":0.23160775484718796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405963410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99642414,0.00011868042,0.0005310524,0.00027283077,0.000044197073,0.0000102912845,0.0003524528,0.000042452462,0.002203949],"genre_scores_gemma":[0.999,0.000050811326,0.00009792104,0.00004202993,0.000019333609,0.000004976778,0.00024926823,0.0000073682877,0.00052841945],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991274,0.0000082268725,0.0000074853965,0.000033478118,0.000010395873,0.00002765742],"domain_scores_gemma":[0.99967766,0.0000593355,0.000097570446,0.00004541902,0.000054413184,0.000065529566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022670353,0.00030591947,0.00014319869,0.00034080946,0.00047365468,0.0006287897,0.00023005244,0.0003911324,0.005223462],"category_scores_gemma":[0.00076200307,0.00024983636,0.00031043642,0.0006773746,0.00026067285,0.00050581153,0.0006863644,0.00060074474,0.00018312092],"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":[0.000913948,0.00019391977,0.86926854,0.0001566158,0.00032256712,0.0013301087,0.00066458486,0.016779577,0.08119378,0.0046485784,0.0035473183,0.02098063],"study_design_scores_gemma":[0.000020923602,0.00002095993,0.9875947,0.0000050656367,0.000047581427,0.000076885626,0.000101047095,0.00942293,0.0013661252,0.00055749225,0.0007766451,0.000009593969],"about_ca_topic_score_codex":0.013168392,"about_ca_topic_score_gemma":0.011042013,"teacher_disagreement_score":0.013168392,"about_ca_system_score_codex":0.00070589245,"about_ca_system_score_gemma":0.00046513657,"threshold_uncertainty_score":0.026183486},"labels":[],"label_agreement":null},{"id":"W4406201004","doi":"10.1007/s00382-024-07565-9","title":"Successive warm-wet and warm-dry events in the Great Lakes Basin: future projections using CMIP6 models","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Coupled model intercomparison project; Precipitation; Climatology; Structural basin; Drainage basin; Flooding (psychology); Percentile; Climate change; Climate model; Geology; Meteorology; Geography; Oceanography","score_opus":0.012204673711430438,"score_gpt":0.2523355566277443,"score_spread":0.24013088291631388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406201004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9864378,0.0001985261,0.0015255896,0.0012487364,0.000067165674,0.000015493606,0.0072181504,0.00017663829,0.0031119783],"genre_scores_gemma":[0.9944622,0.0002326076,0.0009861407,0.000056485984,0.000028183274,0.000024609684,0.0032860388,0.000017214277,0.00090652984],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999181,0.000019609122,0.0000063932307,0.000020587415,0.000015597807,0.000019603474],"domain_scores_gemma":[0.99971944,0.00003697554,0.000050141298,0.00001729426,0.000076427335,0.000099685356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004564536,0.00059461617,0.00021962101,0.0005287175,0.00046764445,0.00072536233,0.00041335888,0.0010382636,0.0023176782],"category_scores_gemma":[0.00090445584,0.00039567944,0.0006798189,0.0007884402,0.00033506475,0.0009410353,0.00057003804,0.00068789214,0.00033403042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00072164426,0.00021264715,0.2150041,0.00013962481,0.00033599188,0.0004748142,0.0002574427,0.7508213,0.0024013666,0.005496979,0.01096449,0.013169576],"study_design_scores_gemma":[0.0001462377,0.00009953987,0.21901163,0.000045634824,0.00017968993,0.00010192032,0.0003660649,0.77020943,0.0012354284,0.0035081871,0.0050381157,0.00005811816],"about_ca_topic_score_codex":0.067656234,"about_ca_topic_score_gemma":0.0837071,"teacher_disagreement_score":0.9323438,"about_ca_system_score_codex":0.0012900764,"about_ca_system_score_gemma":0.0010389453,"threshold_uncertainty_score":0.13452482},"labels":[],"label_agreement":null},{"id":"W4409019947","doi":"10.1007/s00382-025-07663-2","title":"High-resolution seasonal climate prediction with stepwise cluster analysis: a case study for Prince Edward Island, Canada","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Climatology; Cluster (spacecraft); Environmental science; Geology; Computer science","score_opus":0.005983403324212347,"score_gpt":0.22641149344616138,"score_spread":0.22042809012194903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409019947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98295724,0.00023295911,0.0061400086,0.00081672997,0.000024163774,0.0001549745,0.0018512333,0.00043434795,0.007388363],"genre_scores_gemma":[0.9824767,0.00017141951,0.012891665,0.000050550312,0.0000074128793,0.000032267617,0.0011585983,0.00007743324,0.0031340595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99969447,0.000061573286,0.000012972036,0.000052500833,0.00008920317,0.000089215166],"domain_scores_gemma":[0.99911433,0.00026899527,0.000037984566,0.0000654593,0.000392338,0.00012084417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00076225575,0.0005670216,0.00038106245,0.0005520331,0.0027508382,0.0016334824,0.0014854161,0.0007598925,0.0014727147],"category_scores_gemma":[0.001901816,0.00030346774,0.00047601538,0.0023062692,0.0005926806,0.00049249816,0.00057169754,0.0006958035,0.00021263094],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005889965,0.00068814686,0.26645914,0.00030945,0.00039966602,0.0035285777,0.003889981,0.59029144,0.004162668,0.003521701,0.02137468,0.10478564],"study_design_scores_gemma":[0.0001493816,0.000084369545,0.16773036,0.00005224544,0.00012410856,0.00015398965,0.007710839,0.8111405,0.0017886781,0.0011330454,0.00981829,0.000114170376],"about_ca_topic_score_codex":0.98720944,"about_ca_topic_score_gemma":0.99187225,"teacher_disagreement_score":0.012790561,"about_ca_system_score_codex":0.010471305,"about_ca_system_score_gemma":0.017457306,"threshold_uncertainty_score":0.07597494},"labels":[],"label_agreement":null},{"id":"W4409189810","doi":"10.1007/s00382-025-07669-w","title":"Comparison of two distinct leading modes in the variability of summer humidex and temperature heatwaves over North America","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Climatology; Environmental science; Geography; Geology","score_opus":0.013646352647204917,"score_gpt":0.2868467242500178,"score_spread":0.27320037160281285,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409189810","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986364,0.00008132028,0.00018157117,0.00003785403,0.0000049665427,0.0000032407415,0.0004802003,0.000012207894,0.00056219165],"genre_scores_gemma":[0.9987123,0.00006181583,0.00016107692,0.000009988658,0.0000075212565,0.0000056697186,0.0008311271,0.0000037609025,0.00020683576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999366,0.000008887763,0.000003929032,0.000020054802,0.000011515042,0.000018936329],"domain_scores_gemma":[0.9997805,0.000056252982,0.000051660136,0.000014839405,0.000050911873,0.000045969606],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002114958,0.00017760503,0.00011230037,0.00052430993,0.00020875307,0.0003955154,0.00010364151,0.00015642904,0.0007830603],"category_scores_gemma":[0.00037481528,0.000099871155,0.00021871743,0.0005095854,0.00017578679,0.00020391266,0.00036378045,0.0001373659,0.00007548674],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018517689,0.00004221896,0.9670656,0.000046282174,0.00010987545,0.00016363214,0.00067747134,0.0024029328,0.01210482,0.0002570865,0.00087769935,0.016067257],"study_design_scores_gemma":[0.000002100222,0.000005586339,0.9984523,0.000003465535,0.0000049425616,0.000011465735,0.00012778657,0.00093096687,0.0001295034,0.000024656474,0.00030493864,0.0000022659362],"about_ca_topic_score_codex":0.03015888,"about_ca_topic_score_gemma":0.047527708,"teacher_disagreement_score":0.03015888,"about_ca_system_score_codex":0.00025388005,"about_ca_system_score_gemma":0.00024234512,"threshold_uncertainty_score":0.059966683},"labels":[],"label_agreement":null},{"id":"W4411009896","doi":"10.1007/s00382-025-07715-7","title":"Enhancing understanding of mesoscale convective systems in Eastern Canada using the convection-permitting climate model","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"National Research Foundation of Korea","keywords":"Mesoscale meteorology; Climatology; Convection; Climate model; Mesoscale convective system; Environmental science; Atmospheric convection; Meteorology; Geology; General Circulation Model; Climate change; Atmospheric sciences; Geography; Oceanography","score_opus":0.025753796271545632,"score_gpt":0.25428514651285367,"score_spread":0.22853135024130802,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411009896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98437226,0.00029612822,0.004160363,0.00074199325,0.000019152385,0.000032355318,0.0011569627,0.00016474647,0.0090561025],"genre_scores_gemma":[0.9970847,0.0001305634,0.0016375694,0.00002645026,0.0000048728616,0.000006242056,0.00023440305,0.000015833928,0.000859359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99991345,0.000014315783,0.0000042488873,0.00001995262,0.000017920602,0.000030129222],"domain_scores_gemma":[0.99971324,0.00007799744,0.000030393952,0.000022228845,0.00010259779,0.000053468033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022439989,0.00027960917,0.00022499205,0.00028914513,0.0013320601,0.0011451615,0.0009261991,0.000432434,0.0016685033],"category_scores_gemma":[0.001143198,0.00020023882,0.0003441748,0.0005163663,0.00042992283,0.0007383733,0.00045515728,0.0005726298,0.00009041539],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005701932,0.00007259616,0.046811756,0.000044791486,0.000054138603,0.00009971202,0.00028065304,0.9321684,0.0026892158,0.007255533,0.0016096542,0.008856489],"study_design_scores_gemma":[0.000028768061,0.000005615561,0.02242902,0.0000074594363,0.000018647197,0.000009187391,0.00017138405,0.97398734,0.00044976533,0.0012478614,0.001623788,0.000021231179],"about_ca_topic_score_codex":0.98518175,"about_ca_topic_score_gemma":0.97904634,"teacher_disagreement_score":0.014818251,"about_ca_system_score_codex":0.012276646,"about_ca_system_score_gemma":0.0139612695,"threshold_uncertainty_score":0.08907372},"labels":[],"label_agreement":null},{"id":"W4412345443","doi":"10.1007/s00382-025-07770-0","title":"Assessing the potential sensitivity of Typhoon Nesat to climate change under SSP5-8.5 scenario","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Typhoon; Climatology; Environmental science; Climate change; Sensitivity (control systems); Climate sensitivity; Meteorology; Climate model; Geology; Oceanography; Geography; Engineering","score_opus":0.027718213692356688,"score_gpt":0.2999361254088452,"score_spread":0.2722179117164885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412345443","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894042,0.0002595312,0.000753706,0.0010835887,0.00008940413,0.000033715725,0.0055269822,0.00011602438,0.002732877],"genre_scores_gemma":[0.9975936,0.00006950862,0.0002482227,0.00006859832,0.000010532301,0.000010946211,0.0017818718,0.000007780917,0.00020886627],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99942005,0.00019008825,0.00003965247,0.00011925849,0.000079075246,0.00015189189],"domain_scores_gemma":[0.9978363,0.0008970083,0.00039624743,0.00014286718,0.00041901515,0.00030856047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018478428,0.0006273919,0.00038719515,0.00064835965,0.00034095763,0.0009967672,0.00085757906,0.0015473547,0.00226351],"category_scores_gemma":[0.0039363643,0.00029911657,0.0008215236,0.0010214443,0.0004288868,0.0010721402,0.00068267103,0.00076917384,0.00026904375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018880846,0.00028965776,0.25379887,0.00032123097,0.00084155134,0.0013337053,0.00012944904,0.7123275,0.008870834,0.0036689544,0.0062617767,0.0102683585],"study_design_scores_gemma":[0.00032832345,0.00063236745,0.37434822,0.00006610843,0.00046183506,0.00028531958,0.00078065624,0.6101304,0.0060923086,0.002295481,0.004457275,0.000121697114],"about_ca_topic_score_codex":0.03698325,"about_ca_topic_score_gemma":0.020265216,"teacher_disagreement_score":0.03698325,"about_ca_system_score_codex":0.0015974704,"about_ca_system_score_gemma":0.00078462076,"threshold_uncertainty_score":0.07353598},"labels":[],"label_agreement":null},{"id":"W4412561239","doi":"10.1007/s00382-025-07768-8","title":"Projected climate regime over Pakistan and its implications for hydrology in the Hunza River Basin using CMIP6 GCMs","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climatology; Drainage basin; Environmental science; Structural basin; Climate change; Hydrology (agriculture); Geology; Geography; Oceanography; Geomorphology","score_opus":0.023496996789760673,"score_gpt":0.3155751829551598,"score_spread":0.2920781861653991,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412561239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898441,0.00013579587,0.0005279451,0.00048889994,0.000032905566,0.000013104681,0.006534609,0.00008081151,0.0023418078],"genre_scores_gemma":[0.99742943,0.0001581173,0.00038516277,0.000026166761,0.000009685821,0.000011987056,0.001659868,0.0000046420237,0.00031502318],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999118,0.000017637038,0.000006816402,0.000022752132,0.000010920487,0.000030056708],"domain_scores_gemma":[0.9997801,0.000043515996,0.00003441099,0.000019172336,0.000074627686,0.000048162397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027385794,0.0003669212,0.00021802951,0.00050659076,0.00064235576,0.0008292387,0.00040503056,0.0007395553,0.002434537],"category_scores_gemma":[0.0006235532,0.00026798082,0.00045439624,0.0012311407,0.00034964504,0.0006190293,0.0003068805,0.0004438298,0.00029421004],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045950015,0.00019659044,0.45942026,0.00020547227,0.00024193863,0.0012831556,0.000450986,0.50578684,0.0036889354,0.004341762,0.0075301407,0.01639446],"study_design_scores_gemma":[0.00019563171,0.00010819564,0.5960056,0.0000798606,0.00015653223,0.00024124575,0.001553552,0.39033443,0.0019548654,0.0031972402,0.0060684243,0.00010438896],"about_ca_topic_score_codex":0.17395823,"about_ca_topic_score_gemma":0.13985845,"teacher_disagreement_score":0.17395823,"about_ca_system_score_codex":0.0017135938,"about_ca_system_score_gemma":0.0015614637,"threshold_uncertainty_score":0.34589136},"labels":[],"label_agreement":null},{"id":"W4412561314","doi":"10.1007/s00382-025-07778-6","title":"WRF-lake model adjusted for a shallow hypersaline lake","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Meteorological Phenomena and Simulations","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University Canada West","funders":"","keywords":"Weather Research and Forecasting Model; Climatology; Environmental science; Oceanography; Water level; Geology; Hydrology (agriculture); Geography; Cartography","score_opus":0.030392479614941695,"score_gpt":0.2563512814255073,"score_spread":0.2259588018105656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412561314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9442322,0.00022096382,0.010363075,0.0012349079,0.00032216986,0.00010627641,0.022804255,0.0023927432,0.01832351],"genre_scores_gemma":[0.9841738,0.0000876077,0.0040749973,0.00010303727,0.0000418137,0.00010224489,0.0070221075,0.00029519227,0.004099271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998109,0.000040581308,0.000013233174,0.000053312455,0.000021953503,0.000060054605],"domain_scores_gemma":[0.99954575,0.00010434129,0.00004040771,0.00005186949,0.00015716723,0.00010043116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027888874,0.0008291834,0.0012769476,0.0004798767,0.00081007456,0.0010776606,0.002424582,0.0029465186,0.008861118],"category_scores_gemma":[0.0011800156,0.0007593434,0.0013545358,0.0012110613,0.0006402755,0.0013959955,0.00061562675,0.0016811467,0.0009886133],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013444365,0.0000698676,0.0028875207,0.000051677755,0.00007511601,0.00013186979,0.000025492718,0.99171877,0.0010393533,0.00070613064,0.0019936038,0.0011661164],"study_design_scores_gemma":[0.00014923625,0.000023850624,0.002642522,0.000007299832,0.000025977282,0.0000130445205,0.000030901258,0.99572194,0.00030646063,0.000291561,0.00075804425,0.000029127767],"about_ca_topic_score_codex":0.19077717,"about_ca_topic_score_gemma":0.10847591,"teacher_disagreement_score":0.19077717,"about_ca_system_score_codex":0.0018046432,"about_ca_system_score_gemma":0.002665949,"threshold_uncertainty_score":0.3793335},"labels":[],"label_agreement":null},{"id":"W4412719769","doi":"10.1007/s00382-025-07769-7","title":"Amplified tibetan plateau surface warming in CO2-induced global warming simulations","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Cryospheric studies and observations","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Shandong Province; National Natural Science Foundation of China","keywords":"Climatology; Plateau (mathematics); Environmental science; Global warming; Climate change; Atmospheric sciences; Geology; Oceanography","score_opus":0.023431412007619376,"score_gpt":0.2715972051520532,"score_spread":0.24816579314443382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412719769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946478,0.000057918212,0.0004697798,0.0002551682,0.00002777383,0.000011069983,0.00041446555,0.00005602998,0.0040600435],"genre_scores_gemma":[0.9991548,0.000024794195,0.00018434525,0.000039079943,0.000009633333,0.0000098632945,0.00018555488,0.000012723606,0.0003791575],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987125,0.000042456275,0.000005947858,0.000026590564,0.000010270765,0.000043466374],"domain_scores_gemma":[0.9996959,0.00012753166,0.00002392593,0.000030446572,0.000059124133,0.00006307407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049092615,0.00052147644,0.0004033877,0.00038787935,0.000631001,0.00084235775,0.0008664886,0.0011478651,0.002995589],"category_scores_gemma":[0.0016892496,0.00028703437,0.0005190542,0.0005571348,0.0005738181,0.00061682577,0.0006182713,0.0007016888,0.00013718108],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027431187,0.00016350335,0.01851983,0.0000496284,0.00012731737,0.00021631755,0.000103716964,0.97270346,0.0027448395,0.0021584863,0.0008151128,0.0021235987],"study_design_scores_gemma":[0.00016484587,0.00007624203,0.010559971,0.000009804362,0.00004161887,0.000012324545,0.00007944082,0.9875613,0.0006404338,0.00044682182,0.00038970876,0.00001746357],"about_ca_topic_score_codex":0.085006945,"about_ca_topic_score_gemma":0.04556375,"teacher_disagreement_score":0.085006945,"about_ca_system_score_codex":0.0014428617,"about_ca_system_score_gemma":0.0012529489,"threshold_uncertainty_score":0.16902429},"labels":[],"label_agreement":null},{"id":"W4412719778","doi":"10.1007/s00382-025-07782-w","title":"Insights from recent extreme rainfall events over Kerala: ENSO-MJO interaction","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Madden–Julian oscillation; Climatology; El Niño Southern Oscillation; Environmental science; Geology; Geography; Meteorology; Convection","score_opus":0.01936846314676895,"score_gpt":0.2585576496529905,"score_spread":0.23918918650622153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412719778","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923919,0.00059906155,0.0003599362,0.0015315842,0.000038633287,0.0000040095656,0.0004218133,0.000031502565,0.0046216194],"genre_scores_gemma":[0.9989448,0.00036238786,0.000074687814,0.00003479124,0.00002960818,0.0000020203092,0.00017070292,0.000012338936,0.0003685388],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99987495,0.000023098864,0.0000093367735,0.000020715703,0.00001590215,0.000056063825],"domain_scores_gemma":[0.99968374,0.00012050897,0.00006135691,0.000020404308,0.00005313529,0.00006087722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036811875,0.00031020213,0.00042628852,0.0006352748,0.0007745004,0.002230786,0.000561062,0.0007712091,0.0026843844],"category_scores_gemma":[0.0012123112,0.00033235576,0.0005000567,0.0013010238,0.0004265391,0.001177625,0.0010438642,0.00080189103,0.0002504605],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00092295813,0.00038748785,0.7309931,0.00033137936,0.0010255218,0.002669979,0.0024504727,0.19100675,0.012169095,0.022983745,0.006038925,0.029020637],"study_design_scores_gemma":[0.00002918997,0.00003599496,0.89772576,0.000043300734,0.00018500412,0.0001904918,0.0021515682,0.08969872,0.0006838632,0.003189719,0.0060072355,0.000059115308],"about_ca_topic_score_codex":0.0724336,"about_ca_topic_score_gemma":0.07376465,"teacher_disagreement_score":0.0724336,"about_ca_system_score_codex":0.0013025276,"about_ca_system_score_gemma":0.0007776794,"threshold_uncertainty_score":0.14402395},"labels":[],"label_agreement":null},{"id":"W4412740364","doi":"10.1007/s00382-025-07785-7","title":"Enhancing satellite sea level anomaly data assimilation in a coupled general circulation model with a hybrid mean dynamical topography","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Natural Science Foundation of China","keywords":"Climatology; Data assimilation; Anomaly (physics); General Circulation Model; Satellite; Circulation (fluid dynamics); Geology; Ocean current; Meteorology; Environmental science; Oceanography; Geography; Climate change; Physics","score_opus":0.021040062253912327,"score_gpt":0.23903793856328484,"score_spread":0.2179978763093725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412740364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9255011,0.00015012566,0.07081242,0.00037375133,0.00013653723,0.000031508047,0.0002453911,0.00052950426,0.0022195335],"genre_scores_gemma":[0.9887215,0.000035168312,0.01059541,0.00004344256,0.000027974604,0.000011449756,0.0001436671,0.000029596338,0.0003917415],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999892,0.000029435983,0.000008658224,0.000032599914,0.000021486283,0.000015818807],"domain_scores_gemma":[0.9996171,0.00013366636,0.000041241594,0.00006546564,0.00010563437,0.000036989317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039372777,0.0003435747,0.0004448555,0.00017398901,0.00032384778,0.00059719983,0.0005950371,0.0007257509,0.00066192105],"category_scores_gemma":[0.001626014,0.00036745326,0.00054227485,0.00022651319,0.00032331963,0.0010033265,0.00069782755,0.0005455787,0.00013883442],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014087926,0.00011321576,0.0058569573,0.000024541947,0.000090424845,0.000058868467,0.000048747806,0.9731055,0.007754215,0.0008817719,0.000348388,0.011576517],"study_design_scores_gemma":[0.000010880361,0.0000120695395,0.0006373461,6.728927e-7,0.000007753244,0.0000023416108,0.0000023271757,0.99895597,0.0002380603,0.00008768455,0.00004150699,0.0000033178828],"about_ca_topic_score_codex":0.027837345,"about_ca_topic_score_gemma":0.027673382,"teacher_disagreement_score":0.027837345,"about_ca_system_score_codex":0.00033069326,"about_ca_system_score_gemma":0.0008535986,"threshold_uncertainty_score":0.0553506},"labels":[],"label_agreement":null},{"id":"W4414110306","doi":"10.1007/s00382-025-07853-y","title":"Monthly rainfall forecasting using deep learning methods in big databases: a case study of northwestern Iran","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Hydrological Forecasting Using AI","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Undersampling; Deep belief network; Random forest; Oversampling; Multilayer perceptron; Deep learning","score_opus":0.08868136152116039,"score_gpt":0.36287611176365603,"score_spread":0.2741947502424956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414110306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989066,0.000222619,0.006487903,0.00081126485,0.000040305804,0.000023232898,0.0012299648,0.0002916228,0.0018271102],"genre_scores_gemma":[0.9949956,0.00012264113,0.0037488027,0.000022434639,0.00001577395,0.000008104416,0.00070818746,0.000009864894,0.0003685421],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997799,0.000050307088,0.000019433846,0.000044522287,0.000058122303,0.000047664416],"domain_scores_gemma":[0.99888796,0.00060820725,0.00009701811,0.00009761823,0.00023517973,0.000074004914],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00074755726,0.0004671238,0.00037527576,0.000781905,0.00041401133,0.0007005756,0.00093474524,0.0006268194,0.0007567645],"category_scores_gemma":[0.0017152679,0.0001905868,0.00033930584,0.0018317115,0.00034368722,0.0010006827,0.00042369164,0.0005415004,0.00011797126],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047861083,0.0007730253,0.16589983,0.00016335421,0.00022907993,0.0024831556,0.0004414648,0.71419334,0.001958424,0.0027082704,0.010146716,0.10052471],"study_design_scores_gemma":[0.000032882137,0.000042700616,0.030535186,0.000009711704,0.000039974584,0.00008646154,0.0007465139,0.96434605,0.001228554,0.0015109642,0.0014044644,0.00001655426],"about_ca_topic_score_codex":0.07813253,"about_ca_topic_score_gemma":0.067251734,"teacher_disagreement_score":0.07813253,"about_ca_system_score_codex":0.0014913795,"about_ca_system_score_gemma":0.00094160886,"threshold_uncertainty_score":0.15535551},"labels":[],"label_agreement":null},{"id":"W4414111597","doi":"10.1007/s00382-025-07825-2","title":"Consistent climate fingerprinting","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Consistency (knowledge bases); Residual; Yield (engineering); Instrumental variable; Standard error; Distribution (mathematics); Term (time); Chen","score_opus":0.008883903121143275,"score_gpt":0.24117080776184144,"score_spread":0.23228690464069818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414111597","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":[0.06867806,0.00048223845,0.9215163,0.00071135437,0.0002752031,0.000093617964,0.0012117677,0.0010111,0.0060202596],"genre_scores_gemma":[0.6917824,0.00038241938,0.3022478,0.0005351701,0.00024078027,0.00023764941,0.0017319298,0.00048063305,0.002361173],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9958448,0.001541157,0.00019199507,0.0013553513,0.0007526663,0.00031410455],"domain_scores_gemma":[0.98821044,0.0038867511,0.0014034528,0.0043159607,0.0019978117,0.00018559574],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059992005,0.00073300966,0.0009731347,0.002545444,0.00093921076,0.0019656592,0.0019592051,0.0016979389,0.0035855663],"category_scores_gemma":[0.041414704,0.0005539506,0.0014219776,0.0025687083,0.0011131761,0.0028354996,0.0026731496,0.0017356962,0.0011307138],"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":[0.00036909306,0.00023141825,0.11595825,0.0005130029,0.00074486673,0.0004989706,0.001086868,0.116963334,0.019725272,0.20471118,0.014371882,0.5248258],"study_design_scores_gemma":[0.0001944371,0.00033260442,0.086551055,0.00034434098,0.00044652453,0.00083509885,0.00080669986,0.46071047,0.037430827,0.36494842,0.04694772,0.00045180824],"about_ca_topic_score_codex":0.00238466,"about_ca_topic_score_gemma":0.0020666094,"teacher_disagreement_score":0.0059992005,"about_ca_system_score_codex":0.00075147575,"about_ca_system_score_gemma":0.0014838531,"threshold_uncertainty_score":0.031727195},"labels":[],"label_agreement":null},{"id":"W4415181277","doi":"10.1007/s00382-025-07856-9","title":"Concurrent wintertime cold spells in North America and warm or cold spells in Europe","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","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":"Uppsala Universitet","keywords":"Extreme Cold; Atmospheric circulation; Cold wave; Western europe; Cold front; General Circulation Model; Period (music); Climate change","score_opus":0.009992923080188799,"score_gpt":0.2399801306693545,"score_spread":0.22998720758916572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415181277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969278,0.00038655155,0.00010455545,0.000057244368,0.000012339768,0.0000023909438,0.0013439163,0.000010363317,0.0011547767],"genre_scores_gemma":[0.9980996,0.00017467895,0.00008767031,0.000025428013,0.000012784422,0.0000033657052,0.001408874,0.0000032463656,0.00018441277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998367,0.000017269916,0.000015434776,0.000062726496,0.000028478033,0.000039412655],"domain_scores_gemma":[0.99930155,0.00008867464,0.0003261668,0.0000437114,0.00013638212,0.000103480525],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002690235,0.00017119684,0.0002339571,0.0006654204,0.0003806106,0.00073097134,0.00016516999,0.00016786724,0.0014512686],"category_scores_gemma":[0.0006811717,0.00008877285,0.00027170297,0.0012493327,0.00018268282,0.0003019284,0.00046470336,0.00019492742,0.00011669758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049290975,0.000009246717,0.9944469,0.000025457748,0.0001255099,0.00009314117,0.00017276814,0.0003793119,0.0010847738,0.00007885589,0.00071155996,0.002823257],"study_design_scores_gemma":[0.000001286082,0.0000022827796,0.99942553,0.0000059099098,0.000009769103,0.000012894515,0.00010729112,0.00009152587,0.00004005977,0.000014171608,0.00028769494,0.0000015000303],"about_ca_topic_score_codex":0.08847224,"about_ca_topic_score_gemma":0.20146841,"teacher_disagreement_score":0.08847224,"about_ca_system_score_codex":0.00041994205,"about_ca_system_score_gemma":0.00048772368,"threshold_uncertainty_score":0.17591459},"labels":[],"label_agreement":null},{"id":"W4415480543","doi":"10.1007/s00382-025-07869-4","title":"Quantile-based evaluation of climate change impacts on extreme events and their lagged connections with large-scale climate oscillations","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Teleconnection; Precipitation; Climate change; Monsoon; Generalized extreme value distribution; Vulnerability (computing); Extreme value theory; Climate model; East Asia","score_opus":0.04004685901088486,"score_gpt":0.29819141657623294,"score_spread":0.2581445575653481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415480543","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96514624,0.00031907964,0.032441925,0.00013859481,0.000020131482,0.000016676124,0.0008823062,0.00015181923,0.0008832849],"genre_scores_gemma":[0.9979109,0.00004386737,0.0013674494,0.000005862105,0.000007305088,0.0000046878013,0.0005287687,0.000010218156,0.00012093297],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995258,0.00023956982,0.000026643074,0.00008511274,0.00006256589,0.000060269187],"domain_scores_gemma":[0.99273986,0.005817603,0.0005339994,0.0003133564,0.0003793302,0.00021592548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028505193,0.0003258155,0.00042799237,0.0008193951,0.00017619577,0.0007206735,0.0005974558,0.0005810183,0.002249057],"category_scores_gemma":[0.010753414,0.00018451536,0.00047882256,0.001154914,0.000358169,0.00078219414,0.0006168975,0.00050809595,0.0001502082],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004991184,0.00013363949,0.098840974,0.000067090514,0.00020833769,0.00010825077,0.00006485103,0.87699956,0.0012182442,0.0031118642,0.0005328874,0.018215152],"study_design_scores_gemma":[0.000010215187,0.00006758195,0.042690773,0.0000060202688,0.000021784273,0.000025227002,0.00005242898,0.95471317,0.0003425731,0.0019502062,0.00011081372,0.0000092212185],"about_ca_topic_score_codex":0.0061574695,"about_ca_topic_score_gemma":0.004650439,"teacher_disagreement_score":0.0061574695,"about_ca_system_score_codex":0.00047128487,"about_ca_system_score_gemma":0.0003752459,"threshold_uncertainty_score":0.015075147},"labels":[],"label_agreement":null},{"id":"W4416189095","doi":"10.1007/s00382-025-07932-0","title":"Hydrodynamics of rainfall peaks in homogeneous regions clustered using the K-means algorithm in Central Africa","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Precipitation; Homogeneous; Equator; Hadley cell; Monsoon; Climate model; Westerlies; Atmospheric circulation; Climate change","score_opus":0.014391527680787346,"score_gpt":0.2426635531972923,"score_spread":0.22827202551650494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416189095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982451,0.000049560607,0.00075846567,0.000056820812,0.000008816385,0.000009896735,0.00018060888,0.000046485653,0.00064428884],"genre_scores_gemma":[0.9992705,0.000021154441,0.00048723447,0.0000026683265,0.0000045231395,0.0000042829324,0.00011433148,0.000005753645,0.00008955103],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9999213,0.00001264925,0.000004668788,0.000018043924,0.0000072003927,0.00003617163],"domain_scores_gemma":[0.9997743,0.00007393663,0.000037142407,0.000017378175,0.00005080524,0.00004644046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024674283,0.00028600587,0.00038202447,0.0006434267,0.00067186117,0.0009147806,0.0004550241,0.0005839001,0.0008439594],"category_scores_gemma":[0.00094564975,0.00029882186,0.00046489123,0.001180787,0.00044965436,0.00046994444,0.00034366545,0.0003108872,0.00010857258],"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":[0.0008342644,0.0002503785,0.21795793,0.00009131798,0.00024797913,0.00067083753,0.00071416586,0.74742633,0.008816165,0.0023630322,0.0020122996,0.018615337],"study_design_scores_gemma":[0.000114067276,0.000050344082,0.20304152,0.000020761034,0.00004939832,0.00005016838,0.0004935916,0.7939507,0.0011931113,0.00049960613,0.0004941691,0.00004260229],"about_ca_topic_score_codex":0.08994823,"about_ca_topic_score_gemma":0.04461555,"teacher_disagreement_score":0.08994823,"about_ca_system_score_codex":0.0011651686,"about_ca_system_score_gemma":0.0012406087,"threshold_uncertainty_score":0.17884934},"labels":[],"label_agreement":null},{"id":"W4416663167","doi":"10.1007/s00382-025-07814-5","title":"Runtime bias correction of regional climate model driving data and its continental-scale impacts","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ouranos; Environment and Climate Change Canada","funders":"Natural Resources Canada","keywords":"Downscaling; Coupled model intercomparison project; General Circulation Model; Climate change; Climate model; Baseline (sea); Protocol (science); Systematic error","score_opus":0.030275192968022526,"score_gpt":0.2752829602197906,"score_spread":0.24500776725176807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416663167","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95281315,0.00017623728,0.04329277,0.00019356361,0.000111930225,0.000037702866,0.00056623004,0.0008690527,0.0019393713],"genre_scores_gemma":[0.97838277,0.000041240084,0.020717615,0.00003368361,0.000018910603,0.000017763632,0.00043738788,0.00008932741,0.00026122644],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999466,0.00016131537,0.000038303195,0.00010771972,0.00017771822,0.000048994407],"domain_scores_gemma":[0.9978282,0.0006318438,0.00034989748,0.0005945764,0.0005539362,0.00004144337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013285056,0.00045796158,0.0002464198,0.00038846178,0.00019932694,0.00044038644,0.00041566772,0.00025901076,0.00051896693],"category_scores_gemma":[0.005844024,0.00012208748,0.0003754939,0.00048432895,0.00018384767,0.0004096524,0.000506577,0.00044403592,0.00011235211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00070688315,0.00034489264,0.122578755,0.000119432574,0.00044890275,0.00016976605,0.00011323793,0.63630116,0.079976946,0.0031085378,0.0016150562,0.1545164],"study_design_scores_gemma":[0.000055355198,0.00025347123,0.053804617,0.000017420629,0.00008866538,0.00005866743,0.00006109833,0.8721871,0.069805115,0.0007408676,0.00287987,0.00004774434],"about_ca_topic_score_codex":0.00809148,"about_ca_topic_score_gemma":0.0087824995,"teacher_disagreement_score":0.00809148,"about_ca_system_score_codex":0.00038839513,"about_ca_system_score_gemma":0.00057836395,"threshold_uncertainty_score":0.016088784},"labels":[],"label_agreement":null},{"id":"W4417246360","doi":"10.1007/s00382-025-07989-x","title":"Spatial distribution and variation trends of soil freezing front on the Qingzang Plateau revealed by machine learning models","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Permafrost; Front (military); Plateau (mathematics); Period (music); Ground freezing; Storm; Spatial variability; Precipitation","score_opus":0.017932048976382935,"score_gpt":0.21807946897790015,"score_spread":0.20014742000151722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417246360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991928,0.000030940555,0.00030319652,0.000035346246,0.0000021343365,0.000001364526,0.00015893823,0.00001792684,0.00025746238],"genre_scores_gemma":[0.9995567,0.000013731241,0.00007322605,0.0000023237171,0.0000021597589,0.0000010386528,0.0002751394,0.0000014844114,0.00007417207],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999356,0.000011163445,0.000004204368,0.000019832747,0.0000067192213,0.00002257012],"domain_scores_gemma":[0.9997663,0.00006521206,0.000050681338,0.000022287424,0.000054905362,0.0000405908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003213247,0.00018038489,0.00019760228,0.0008594106,0.00033111224,0.00044276007,0.00034425437,0.00024603336,0.0009037593],"category_scores_gemma":[0.00042267345,0.00014227386,0.00045721568,0.00071003975,0.000294345,0.00033412882,0.0002560477,0.00017724164,0.0000716239],"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":[0.00015509829,0.00007315552,0.87027836,0.000035283345,0.00015624618,0.00029450972,0.00024836976,0.11119777,0.004607784,0.0007079149,0.00073475926,0.011510796],"study_design_scores_gemma":[0.000010420596,0.00001940247,0.6483097,0.000006802554,0.00004236245,0.000034035904,0.00019312945,0.3504906,0.0003074159,0.00023880132,0.00033465752,0.000012612024],"about_ca_topic_score_codex":0.073069826,"about_ca_topic_score_gemma":0.061223608,"teacher_disagreement_score":0.073069826,"about_ca_system_score_codex":0.0005998116,"about_ca_system_score_gemma":0.00044637875,"threshold_uncertainty_score":0.145289},"labels":[],"label_agreement":null},{"id":"W561343248","doi":"10.1007/s00382-015-2665-3","title":"Strong and moderate nonlinear El Niño regimes","year":2015,"lang":"es","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":162,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Centre National d’Etudes Spatiales; International Development Research Centre","keywords":"Climatology; Anomaly (physics); Sea surface temperature; Amplitude; Physics; Nonlinear system; Proxy (statistics); Environmental science; Geology; Atmospheric sciences; Mathematics","score_opus":0.026303616346441943,"score_gpt":0.27271260592993796,"score_spread":0.24640898958349602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W561343248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98759615,0.00008580456,0.0008665226,0.0000803626,0.000012755327,0.000013868308,0.000222405,0.000030885192,0.01109133],"genre_scores_gemma":[0.9994475,0.00002070116,0.000113679205,0.000017317181,0.00000438697,0.000005547279,0.0000669525,0.0000026330697,0.00032120044],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998858,0.000011166189,0.000010118798,0.000035350895,0.000017792237,0.00003982743],"domain_scores_gemma":[0.9996427,0.00008738516,0.0001059264,0.000034370318,0.000031428397,0.00009812805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003050792,0.00013717402,0.00013528773,0.00023020757,0.00035518594,0.00068562955,0.00025896583,0.00023743983,0.0028145795],"category_scores_gemma":[0.00089983473,0.00009783017,0.0002495516,0.00011833597,0.00030242393,0.0004943443,0.000866532,0.00029689228,0.00013898053],"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":[0.0015437196,0.0003127331,0.82365334,0.00033824667,0.00032450783,0.0010081005,0.0010184654,0.06877485,0.029054949,0.03645274,0.004143204,0.033375125],"study_design_scores_gemma":[0.00014183535,0.00017366666,0.850577,0.000068877736,0.00009570536,0.0003891019,0.00097395875,0.12148288,0.003514418,0.017115835,0.005403742,0.00006302592],"about_ca_topic_score_codex":0.0031157206,"about_ca_topic_score_gemma":0.005517499,"teacher_disagreement_score":0.0031157206,"about_ca_system_score_codex":0.00038780834,"about_ca_system_score_gemma":0.00029085772,"threshold_uncertainty_score":0.009415746},"labels":[],"label_agreement":null},{"id":"W623807776","doi":"10.1007/s00382-015-2686-y","title":"Optimal error growth of South Asian monsoon forecast associated with the uncertainties in the sea surface temperature","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Climatology; Sea surface temperature; Monsoon; Environmental science; Forecast error; Geology; Mathematics; Econometrics","score_opus":0.02064082699651628,"score_gpt":0.22801296495276477,"score_spread":0.20737213795624848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W623807776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89400035,0.0005361132,0.09648049,0.0017486031,0.00017003871,0.000024586623,0.00029291955,0.00010804814,0.0066387085],"genre_scores_gemma":[0.9961576,0.000092630784,0.002823652,0.00003358764,0.000025257617,0.0000070829947,0.000094870345,0.000024630232,0.0007406563],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999566,0.00016571922,0.000024142892,0.000093094466,0.00007316558,0.000077851306],"domain_scores_gemma":[0.9924265,0.005800045,0.0005200264,0.00015123605,0.00091302785,0.00018918395],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024425024,0.00056591077,0.0005454544,0.00047831162,0.000420718,0.0012067443,0.0004250744,0.00089405495,0.0011532749],"category_scores_gemma":[0.012550356,0.000561842,0.00040393337,0.0004096272,0.00087144127,0.0012414668,0.00079130713,0.0011780995,0.00008846179],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013353756,0.00001510463,0.0024985007,0.000020411477,0.000021109896,0.000048899536,0.00002579224,0.9904241,0.00073349406,0.0035107716,0.0003012807,0.0022670715],"study_design_scores_gemma":[0.0000037421964,0.000008477278,0.0007773333,0.0000024584795,0.0000040795708,0.0000036864215,0.000009253108,0.9980683,0.000247155,0.0008460879,0.000025654543,0.0000038000294],"about_ca_topic_score_codex":0.025850851,"about_ca_topic_score_gemma":0.013688056,"teacher_disagreement_score":0.025850851,"about_ca_system_score_codex":0.0013054687,"about_ca_system_score_gemma":0.0021560653,"threshold_uncertainty_score":0.05140078},"labels":[],"label_agreement":null},{"id":"W656745261","doi":"10.1007/s00382-015-2685-z","title":"Karakorum temperature out of phase with hemispheric trends for the past five centuries","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":57,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Lamont-Doherty Earth Observatory, Columbia University; University of East Anglia; York University; National Science Foundation","keywords":"Climatology; Phase (matter); Geology; Environmental science","score_opus":0.016898274475977304,"score_gpt":0.2561151426822685,"score_spread":0.23921686820629118,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W656745261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989256,0.0007216123,0.00037024092,0.00057752774,0.00007160451,0.0000030718502,0.0009955657,0.000016861422,0.007987497],"genre_scores_gemma":[0.99762887,0.00031146553,0.00008388562,0.000039634968,0.00002597828,0.000002095622,0.00035884557,0.000008042976,0.0015412744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998946,0.000010753014,0.000008542877,0.000029576728,0.000016757276,0.00003963182],"domain_scores_gemma":[0.99978083,0.000036084246,0.00007740345,0.000020319409,0.000053442694,0.000031987747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022384238,0.00012289529,0.00015241986,0.00033798508,0.00030726375,0.0005507767,0.00013040693,0.00021105747,0.003661349],"category_scores_gemma":[0.00096681097,0.000094784555,0.00019398218,0.00069672713,0.00023457914,0.0004587325,0.00065402524,0.0003227416,0.00062596233],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012431144,0.00006579405,0.8876724,0.00036119446,0.0003525235,0.00048131344,0.003983586,0.0047921417,0.014719956,0.008584829,0.004254101,0.073489085],"study_design_scores_gemma":[0.000011729908,0.00004273593,0.97785574,0.000026378479,0.00005708548,0.00022210079,0.0010953328,0.0012455845,0.00096174824,0.00069089676,0.017779743,0.000010938055],"about_ca_topic_score_codex":0.0059543815,"about_ca_topic_score_gemma":0.016180586,"teacher_disagreement_score":0.0059543815,"about_ca_system_score_codex":0.00043499316,"about_ca_system_score_gemma":0.00046336048,"threshold_uncertainty_score":0.012248397},"labels":[],"label_agreement":null},{"id":"W7092284440","doi":"10.1007/s00382-025-07911-5","title":"Runtime bias corrected driving data for regional climate models: regional-scale impacts","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Diffusion and Search Dynamics","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada; Ouranos","funders":"Alliance de recherche numérique du Canada; Environment and Climate Change Canada; Innovation, Science and Economic Development Canada; Université du Québec à Montréal; Ministry of Natural Resources","keywords":"General Circulation Model; Climate model; Climate change; Atmosphere (unit); Sea surface temperature; Coherence (philosophical gambling strategy); Atmospheric circulation; Atmospheric model; Scale (ratio)","score_opus":0.05175778059807515,"score_gpt":0.3230702762118108,"score_spread":0.2713124956137356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092284440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96665245,0.00027598644,0.026510129,0.00044509108,0.00014423199,0.00004810432,0.0018110079,0.0015384599,0.0025744091],"genre_scores_gemma":[0.9855489,0.000052528467,0.012719883,0.000056644167,0.000026311229,0.00002353863,0.0011578858,0.00014734363,0.00026690972],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99946517,0.00024186396,0.000035954254,0.000089642395,0.00011695833,0.00005038717],"domain_scores_gemma":[0.9972681,0.0009982052,0.0003230778,0.0005990208,0.0007166123,0.0000949339],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024542676,0.00062732195,0.00040559255,0.00036108246,0.0003307494,0.0006833392,0.0007806066,0.0005385328,0.0008369947],"category_scores_gemma":[0.0073631727,0.00020554221,0.00057518866,0.0007140954,0.0002675341,0.00066829874,0.0005637315,0.0006852634,0.00019507988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002600779,0.00010804667,0.079769455,0.000058987265,0.00024189964,0.00008438687,0.000058249574,0.88048667,0.0039800536,0.0012436226,0.0015602941,0.032148287],"study_design_scores_gemma":[0.000060005335,0.00006790293,0.014649462,0.000016179136,0.00005725039,0.000015322774,0.00003124728,0.97919935,0.0041396045,0.00034664857,0.001391243,0.000025732621],"about_ca_topic_score_codex":0.03401607,"about_ca_topic_score_gemma":0.023205329,"teacher_disagreement_score":0.03401607,"about_ca_system_score_codex":0.0005131332,"about_ca_system_score_gemma":0.0009669892,"threshold_uncertainty_score":0.06763613},"labels":[],"label_agreement":null},{"id":"W7116681908","doi":"10.1007/s00382-025-07984-2","title":"Seasonal variation of the fastest-growing initial errors over the tropical Indian Ocean","year":2025,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Oceanographic and Atmospheric Processes","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"National Natural Science Foundation of China","keywords":"Predictability; Thermocline; Sea surface temperature; Seasonality; Perturbation (astronomy); Advection; Tropical Atlantic; Ekman transport; Upwelling; Boreal","score_opus":0.00533166106629531,"score_gpt":0.21419389633022604,"score_spread":0.20886223526393072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116681908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99660444,0.00011735399,0.0003671006,0.00017275274,0.000035263125,0.000003226464,0.00097239896,0.00005752022,0.0016698976],"genre_scores_gemma":[0.998747,0.00005019314,0.00016463158,0.000011403376,0.000009942057,0.0000019708873,0.0006824971,0.000014357197,0.00031799916],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998499,0.00001662895,0.000017094779,0.000043897773,0.00002478472,0.00004772876],"domain_scores_gemma":[0.99829537,0.0006639392,0.00018555569,0.00014306507,0.00053767924,0.0001743871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005991294,0.0002329361,0.00017762958,0.00065296615,0.00045041562,0.00085529446,0.00028641548,0.00040748762,0.001687002],"category_scores_gemma":[0.003108126,0.00018465194,0.00038704657,0.0006885119,0.00032030468,0.00041511568,0.00055371964,0.00061188184,0.00028061974],"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":[0.0006958166,0.00010381637,0.8923743,0.0001473832,0.0002585028,0.00045024697,0.00096170005,0.0566094,0.018250858,0.0018752313,0.004306737,0.023966027],"study_design_scores_gemma":[0.000010602159,0.000021776656,0.9806467,0.000014717872,0.000024933914,0.000075810436,0.00029143237,0.016201718,0.0014451314,0.00014292264,0.0011017364,0.000022580416],"about_ca_topic_score_codex":0.05195959,"about_ca_topic_score_gemma":0.060891543,"teacher_disagreement_score":0.05195959,"about_ca_system_score_codex":0.00051053695,"about_ca_system_score_gemma":0.00060968107,"threshold_uncertainty_score":0.10331428},"labels":[],"label_agreement":null},{"id":"W779734978","doi":"10.1007/s00382-015-2737-4","title":"CMIP5 model simulations of Ethiopian Kiremt-season precipitation: current climate and future changes","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Trinity College","funders":"","keywords":"Precipitation; Climatology; Coupled model intercomparison project; Environmental science; Climate model; Climate change; Rift valley; Atmospheric sciences; Geology; Geography; Meteorology; Oceanography","score_opus":0.03789295371394222,"score_gpt":0.29172118716610934,"score_spread":0.2538282334521671,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W779734978","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692825,0.00041125313,0.001984982,0.0011972276,0.00022119634,0.000026766505,0.016273353,0.0002757739,0.010326886],"genre_scores_gemma":[0.99348456,0.00020187604,0.0011449918,0.000078152494,0.000023659088,0.000033986038,0.003924525,0.000046922614,0.001061309],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998492,0.00003638924,0.000011132288,0.00003987295,0.00001335081,0.00005003631],"domain_scores_gemma":[0.99968624,0.000084022315,0.000038849466,0.000026752565,0.000092245704,0.0000718853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004768342,0.0006754088,0.00048941374,0.0005256289,0.0006170324,0.00097320986,0.0014011973,0.0017457147,0.004197601],"category_scores_gemma":[0.001019311,0.00060384866,0.0007671041,0.0016158328,0.0003829364,0.00095620827,0.0004201144,0.0011093937,0.0005528722],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003205484,0.000111646244,0.016191414,0.000093278315,0.00015337106,0.000106167856,0.00007645437,0.97246796,0.0008854209,0.0020695578,0.004707236,0.0028170059],"study_design_scores_gemma":[0.00032309545,0.000070208276,0.024505341,0.000052624353,0.0001173509,0.00005747823,0.00020296306,0.96778375,0.0014880459,0.0011072976,0.0042209197,0.00007093256],"about_ca_topic_score_codex":0.10057224,"about_ca_topic_score_gemma":0.064625405,"teacher_disagreement_score":0.10057224,"about_ca_system_score_codex":0.0023282764,"about_ca_system_score_gemma":0.0019645782,"threshold_uncertainty_score":0.19997364},"labels":[],"label_agreement":null},{"id":"W810485075","doi":"10.1007/s00382-015-2740-9","title":"Trend in frequency of extreme precipitation events over Ontario from ensembles of multiple GCMs","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; York University","funders":"","keywords":"Precipitation; Environmental science; Climatology; Climate change; Poisson regression; Atmospheric sciences; Meteorology; Geography; Geology; Population","score_opus":0.04122618013155597,"score_gpt":0.24845789783145925,"score_spread":0.20723171769990328,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W810485075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98660815,0.00027075358,0.00046314092,0.0001424074,0.000021795648,0.000007164065,0.01092698,0.00009564739,0.0014640235],"genre_scores_gemma":[0.99017274,0.00016495583,0.00043225128,0.000018209237,0.000010390688,0.000004630065,0.008421123,0.000017125321,0.00075855263],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998196,0.000011901394,0.000013862431,0.000067214634,0.000052833195,0.000034699253],"domain_scores_gemma":[0.9990546,0.00014289356,0.00013136405,0.00009458569,0.00045872977,0.00011784025],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036314077,0.00021998482,0.00024413271,0.0005686279,0.0005698943,0.0007362352,0.000567044,0.00038681863,0.0014849643],"category_scores_gemma":[0.0017818037,0.0002340202,0.00045112096,0.0011336678,0.0002920988,0.00041653975,0.00039103976,0.00030256325,0.00017618113],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003815658,0.000048057504,0.89010674,0.00015566147,0.0006149407,0.00018406396,0.0005652905,0.08091712,0.0034360744,0.00059727277,0.007335551,0.015657721],"study_design_scores_gemma":[0.000031750427,0.00001565216,0.9500034,0.000024211651,0.00013164643,0.000052056424,0.0002804924,0.044287045,0.00061225716,0.00014946474,0.0043822257,0.000029772516],"about_ca_topic_score_codex":0.8993531,"about_ca_topic_score_gemma":0.9497669,"teacher_disagreement_score":0.10064691,"about_ca_system_score_codex":0.00443562,"about_ca_system_score_gemma":0.0028574578,"threshold_uncertainty_score":0.20247924},"labels":[],"label_agreement":null},{"id":"W849068864","doi":"10.1007/s00382-015-2676-0","title":"A complete hydro-climate model chain to investigate the influence of sea surface temperature on recent hydroclimatic variability in subtropical South America (Laguna Mar Chiquita, Argentina)","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Climate variability and models","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Centre National de la Recherche Scientifique; Consejo Nacional de Investigaciones Científicas y Técnicas; Ministerio de Ciencia, Tecnología e Innovación Productiva; Agence Nationale de la Recherche","keywords":"Climatology; Sea surface temperature; Precipitation; Environmental science; Forcing (mathematics); Subtropics; Downscaling; Climate change; Anomaly (physics); General Circulation Model; Climate model; Structural basin; Atmospheric sciences; Geology; Oceanography; Geography; Meteorology; Ecology; Physics","score_opus":0.024439138764735274,"score_gpt":0.24262974828578404,"score_spread":0.21819060952104877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W849068864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9740848,0.0000931583,0.012977822,0.00020329836,0.000059607093,0.00010901616,0.0060160714,0.0005810385,0.0058751935],"genre_scores_gemma":[0.9863578,0.00006475857,0.00784949,0.000028927403,0.000017563052,0.00013453269,0.00415238,0.000074260446,0.0013204085],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987304,0.000039797993,0.000010082988,0.000034381217,0.000021989274,0.000020728645],"domain_scores_gemma":[0.9994363,0.00015470316,0.00004373214,0.00011411023,0.00016967597,0.00008142361],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045900347,0.0005106498,0.00041427606,0.00039096095,0.0006175334,0.00054108404,0.00083317474,0.00063309463,0.0039752084],"category_scores_gemma":[0.0012579586,0.00041648376,0.00043776922,0.00050039025,0.00028788453,0.00069120456,0.00061765057,0.0006135309,0.00043164488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009666307,0.00015996934,0.019390201,0.000024836923,0.00008025022,0.000071907714,0.00004138846,0.9722363,0.0011440706,0.0007850098,0.00081856514,0.0051508523],"study_design_scores_gemma":[0.000045644,0.000030309024,0.006979394,0.0000043726045,0.0000198714,0.000007323398,0.000018724613,0.9915937,0.00035403506,0.00028345748,0.0006543946,0.000008869919],"about_ca_topic_score_codex":0.09882486,"about_ca_topic_score_gemma":0.08811783,"teacher_disagreement_score":0.09882486,"about_ca_system_score_codex":0.0010182618,"about_ca_system_score_gemma":0.0018107307,"threshold_uncertainty_score":0.19649929},"labels":[],"label_agreement":null},{"id":"W986196745","doi":"10.1007/s00382-015-2646-6","title":"Deglacial climate, carbon cycle and ocean chemistry changes in response to a terrestrial carbon release","year":2015,"lang":"en","type":"article","venue":"Climate Dynamics","topic":"Methane Hydrates and Related Phenomena","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon cycle; Deglaciation; Environmental science; Glacial period; Geology; Oceanography; Carbon fibers; Atmospheric sciences; Climatology; Holocene; Ecology; Ecosystem; Geomorphology","score_opus":0.009353735118174968,"score_gpt":0.22773596826844017,"score_spread":0.2183822331502652,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W986196745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983506,0.0001152613,0.0000918994,0.00015123557,0.000022385842,0.000004122992,0.00048818602,0.00001747463,0.000758848],"genre_scores_gemma":[0.9990656,0.0000827636,0.00009467191,0.00003148172,0.000012143803,0.0000032754872,0.00027365974,0.0000075646603,0.00042886284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995124,0.000007470779,0.000005894028,0.000013867589,0.0000061276505,0.000015533955],"domain_scores_gemma":[0.99975497,0.00005922775,0.00006640294,0.000021540001,0.000037114147,0.00006082573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028836963,0.0002217595,0.00025895028,0.00036313024,0.00038950323,0.0005674844,0.00022661472,0.00070544565,0.0019927686],"category_scores_gemma":[0.00077403116,0.00021346542,0.00036880723,0.000580176,0.0003743901,0.000464518,0.0005574057,0.0003821336,0.00021197509],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005139651,0.0002567711,0.8456899,0.00017618494,0.00042810471,0.0006955516,0.0006291832,0.012022598,0.12220166,0.0012563476,0.0016292556,0.009874686],"study_design_scores_gemma":[0.000025101674,0.000053497715,0.99540544,0.0000028421593,0.000027298276,0.000044886456,0.00012633085,0.0024739134,0.0010972335,0.0001364552,0.00059898,0.0000079506335],"about_ca_topic_score_codex":0.013648271,"about_ca_topic_score_gemma":0.019883437,"teacher_disagreement_score":0.013648271,"about_ca_system_score_codex":0.00059477123,"about_ca_system_score_gemma":0.00043701855,"threshold_uncertainty_score":0.027137637},"labels":[],"label_agreement":null}]}