{"meta":{"query_hash":"6d860b94dc3d","filters":{"venue":"Advances in Climate Change Research"},"cohort_total":19,"direct_labels_cover":0,"predictions_cover":19,"exported":19,"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/6d860b94dc3d","api":"https://metacan.xera.ac/api/v1/cohort?venue=Advances+in+Climate+Change+Research"},"results":[{"id":"W2015828747","doi":"10.3724/sp.j.1248.2013.127","title":"Shares Differences of Greenhouse Gas Emissions Calculated with GTP and GWP for Major Countries","year":2013,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Atmospheric chemistry and aerosols","field":"Earth and Planetary Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Greenhouse gas; China; Global-warming potential; GTP'; Global warming; Environmental science; Natural resource economics; Agricultural economics; Environmental protection; Climate change; Political science; Economics; Chemistry; Ecology; Law","score_opus":0.08132733973801273,"score_gpt":0.34292210796285716,"score_spread":0.2615947682248444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015828747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96926415,0.0018794978,0.005589057,0.0004580206,0.00010821091,0.000022382435,0.0062979944,0.00017574217,0.016204888],"genre_scores_gemma":[0.994879,0.00036445647,0.00064120087,0.000023589328,0.00002182657,0.000012252907,0.0029200914,0.000038115297,0.0010994135],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99941576,0.00012347351,0.00006079408,0.00011484217,0.00017114796,0.00011403956],"domain_scores_gemma":[0.9984037,0.0004505175,0.00038650408,0.00020365334,0.0004900429,0.00006563871],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00064125133,0.0004973889,0.00031641187,0.0017702989,0.00015009109,0.0008994597,0.00034647435,0.00028697582,0.0020973494],"category_scores_gemma":[0.0034700378,0.00017985831,0.0008816029,0.0027151546,0.00028043333,0.0012404899,0.0008868369,0.00038035234,0.0005474855],"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":[0.00075519056,0.000045534653,0.77013576,0.00050648267,0.002222988,0.001144341,0.0012331534,0.06197342,0.010580876,0.020148048,0.008704156,0.12255008],"study_design_scores_gemma":[0.000029733139,0.000116315736,0.9196843,0.0000737685,0.00046743156,0.00097038236,0.0021616938,0.02463667,0.010590659,0.008330112,0.032832917,0.00010599924],"about_ca_topic_score_codex":0.004047643,"about_ca_topic_score_gemma":0.0027090698,"teacher_disagreement_score":0.004047643,"about_ca_system_score_codex":0.00051458617,"about_ca_system_score_gemma":0.00029994987,"threshold_uncertainty_score":0.008048117},"labels":[],"label_agreement":null},{"id":"W2028513928","doi":"10.1016/j.accre.2014.11.004","title":"Responses of the ocean carbon cycle to climate change: Results from an earth system climate model simulation","year":2014,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China; Fundamental Research Funds for the Central Universities; Met Office; University of Victoria","keywords":"Climate change; Environmental science; Climatology; Climate model; Atmosphere (unit); Transient climate simulation; Carbon cycle; Climate sensitivity; Sea surface temperature; Climate commitment; Atmospheric sciences; Effects of global warming; Global warming; Oceanography; Geology; Meteorology; Geography; Ecosystem; Ecology","score_opus":0.07373723423010793,"score_gpt":0.36701360622617935,"score_spread":0.2932763719960714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2028513928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99384755,0.00011324814,0.00070571376,0.00023988879,0.000025976695,0.000032645272,0.0017114682,0.00013987493,0.0031836918],"genre_scores_gemma":[0.99602973,0.000085086685,0.0012590362,0.00008122568,0.0000073741553,0.000034338515,0.0018862083,0.00005492106,0.0005622345],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994634,0.00023415271,0.00003259906,0.00008461279,0.00006797895,0.000117163414],"domain_scores_gemma":[0.9969279,0.00209209,0.00015009036,0.00019000343,0.00036611862,0.00027377147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012472051,0.0009392675,0.0011563628,0.00069503835,0.0007647036,0.0011236485,0.0011883945,0.0021529438,0.0022259378],"category_scores_gemma":[0.004496266,0.00066942384,0.0014463603,0.0012207929,0.0009566083,0.0008439111,0.00074785226,0.0017694446,0.00023335023],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00026227382,0.00019635199,0.0135028055,0.000051554478,0.000133236,0.0001203058,0.00006975487,0.9823797,0.000738995,0.00052809436,0.0007817284,0.0012352507],"study_design_scores_gemma":[0.00018262287,0.00013660954,0.008442046,0.000013963104,0.000056582074,0.000015857104,0.00013723945,0.9893779,0.00073066534,0.000351577,0.0005236923,0.00003121182],"about_ca_topic_score_codex":0.13572678,"about_ca_topic_score_gemma":0.07633619,"teacher_disagreement_score":0.13572678,"about_ca_system_score_codex":0.002010808,"about_ca_system_score_gemma":0.0015103832,"threshold_uncertainty_score":0.2698735},"labels":[],"label_agreement":null},{"id":"W2982994616","doi":"10.1016/j.accre.2019.10.002","title":"The estimated schedule and mitigation potential for hydrofluorocarbons phase-down in China","year":2019,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Atmospheric Ozone and Climate","field":"Earth and Planetary Sciences","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Baseline (sea); Montreal Protocol; Consumption (sociology); Environmental science; Global-warming potential; Schedule; Greenhouse gas; Agricultural economics; Economics; Meteorology; Geography; Political science","score_opus":0.05269986867774862,"score_gpt":0.3793591351767215,"score_spread":0.32665926649897287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982994616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9326679,0.0009906638,0.0289943,0.000690086,0.000067128414,0.00014701733,0.013264267,0.00041538622,0.022763373],"genre_scores_gemma":[0.98453254,0.00080155773,0.005294392,0.000054625816,0.000009738247,0.00006924593,0.005560529,0.000036769154,0.0036407227],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979955,0.000030162271,0.000011269399,0.00004214259,0.000057378067,0.00005945546],"domain_scores_gemma":[0.9997861,0.000020127805,0.000026804373,0.000015767037,0.00013606764,0.000015058966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004955036,0.0008122942,0.00017802142,0.0011334275,0.0003461267,0.0005811218,0.0004350496,0.00037041696,0.0021088629],"category_scores_gemma":[0.0004858162,0.00031581696,0.00092224294,0.00095320656,0.00024151886,0.0009865279,0.00040236954,0.0003008245,0.00029845143],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037464988,0.00006320776,0.16883467,0.00049249374,0.00028483814,0.0009637421,0.0002395985,0.72333425,0.020755498,0.011451169,0.008691399,0.0645145],"study_design_scores_gemma":[0.00010307671,0.000282499,0.33365342,0.00012150606,0.00047023644,0.0003033279,0.00053686404,0.5698396,0.02989734,0.0077593233,0.056820367,0.00021238434],"about_ca_topic_score_codex":0.17037082,"about_ca_topic_score_gemma":0.109268226,"teacher_disagreement_score":0.17037082,"about_ca_system_score_codex":0.0031868552,"about_ca_system_score_gemma":0.0028973676,"threshold_uncertainty_score":0.3387583},"labels":[],"label_agreement":null},{"id":"W3130001609","doi":"10.1016/j.accre.2021.02.002","title":"Variation of sea ice and perspectives of the Northwest Passage in the Arctic Ocean","year":2021,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Arctic and Antarctic ice dynamics","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":"State Key Laboratory of Cryospheric Science; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Arctic; Sea ice; Oceanography; Climatology; Arctic ice pack; Environmental science; Arctic sea ice decline; Geology; Sea ice thickness","score_opus":0.0685433610077152,"score_gpt":0.3317422523274487,"score_spread":0.2631988913197335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3130001609","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963727,0.00015670506,0.0001531784,0.000079300284,0.000016984359,0.0000023887194,0.0007383406,0.000004260148,0.002476086],"genre_scores_gemma":[0.9987563,0.00015315157,0.00012258695,0.000009954132,0.0000071459162,0.000002708014,0.00068874087,0.000004389894,0.0002550644],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997987,0.000053984895,0.000015702532,0.000054876364,0.00003752693,0.000039221733],"domain_scores_gemma":[0.999539,0.00007489999,0.00013013983,0.000033193144,0.00012870907,0.00009414832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046803599,0.00014576734,0.000121241974,0.0005434202,0.00041610003,0.0010050706,0.00016033945,0.00015580992,0.0008747069],"category_scores_gemma":[0.0014556221,0.00006962806,0.00037834886,0.0008577569,0.00027600102,0.00040936543,0.00050945143,0.00025734995,0.00012776857],"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":[0.000084964755,0.000021803155,0.9874018,0.00002159127,0.00007503937,0.00023959823,0.0006879167,0.0042120377,0.00036471704,0.0008034515,0.00071342825,0.0053736856],"study_design_scores_gemma":[0.0000034165691,0.000020050782,0.9904683,0.000026854566,0.000032541473,0.000054533313,0.0018719621,0.0050642155,0.000115176284,0.00026789837,0.0020633915,0.0000116713845],"about_ca_topic_score_codex":0.14277695,"about_ca_topic_score_gemma":0.18570346,"teacher_disagreement_score":0.85722303,"about_ca_system_score_codex":0.00067675806,"about_ca_system_score_gemma":0.00088607636,"threshold_uncertainty_score":0.2838918},"labels":[],"label_agreement":null},{"id":"W3156575611","doi":"10.1016/j.accre.2021.03.014","title":"Permafrost dynamics and their hydrologic impacts over the Russian Arctic drainage basin","year":2021,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"Division of Earth Sciences; National Key Research and Development Program of China; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Science Foundation","keywords":"Permafrost; Surface runoff; Drainage basin; Arctic; Active layer; Structural basin; Hydrology (agriculture); Environmental science; Drainage; Precipitation; Geology; Oceanography; Geomorphology; Layer (electronics); Ecology; Geography","score_opus":0.09053933599518688,"score_gpt":0.35560022890756765,"score_spread":0.2650608929123808,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156575611","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991716,0.00015021629,0.000041339626,0.000025095906,0.0000012656598,0.0000013532976,0.00011726143,0.0000041036164,0.00048760834],"genre_scores_gemma":[0.9996737,0.00011350007,0.0000315059,0.0000036290417,0.0000013863786,0.0000015704125,0.00009852991,0.0000011101728,0.00007503406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998981,0.00001923104,0.000011903316,0.000023239578,0.000020840505,0.00002661378],"domain_scores_gemma":[0.99986994,0.000018897832,0.0000517363,0.000008759725,0.00003091028,0.000019802717],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017514518,0.0001227243,0.00016757491,0.00051807205,0.00035313834,0.0004273091,0.000109807326,0.000110688416,0.00035692318],"category_scores_gemma":[0.00023552512,0.00008965617,0.0002307046,0.0006287585,0.00024797107,0.0002433421,0.00036803854,0.00009966062,0.000046032037],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004233096,0.000023203907,0.98513836,0.000035683322,0.00008549459,0.00024381124,0.00065289444,0.0023958192,0.002677726,0.00020229632,0.00014231844,0.008360062],"study_design_scores_gemma":[0.0000012508165,0.0000053301515,0.99827623,0.0000057969196,0.00001464726,0.00003690016,0.0003209605,0.00080154545,0.00013472814,0.000036737798,0.00036347314,0.0000023581679],"about_ca_topic_score_codex":0.048510306,"about_ca_topic_score_gemma":0.07131613,"teacher_disagreement_score":0.048510306,"about_ca_system_score_codex":0.0005603499,"about_ca_system_score_gemma":0.0006321119,"threshold_uncertainty_score":0.09645593},"labels":[],"label_agreement":null},{"id":"W3169655553","doi":"10.1016/j.accre.2021.06.002","title":"Export of nutrients and suspended solids from major Arctic rivers and their response to permafrost degradation","year":2021,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":39,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Russian Foundation for Basic Research; West Light Foundation of the Chinese Academy of Sciences; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Arctic; Permafrost; Nutrient; Environmental science; Flux (metallurgy); Nitrate; Arctic vegetation; Oceanography; Phosphorus; Hydrology (agriculture); Geology; Tundra; Ecology; Chemistry; Biology","score_opus":0.11610332774003017,"score_gpt":0.3613773904888806,"score_spread":0.24527406274885044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169655553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99906224,0.00009323488,0.000062399435,0.000012301588,0.0000028493137,0.0000011847409,0.00031848927,0.0000039989854,0.00044330637],"genre_scores_gemma":[0.9974255,0.00023982249,0.0003130564,0.000032813172,0.0000067939436,0.000006870666,0.0012282114,0.000007920421,0.0007390389],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989295,0.000009459281,0.000011981601,0.000037333415,0.00002546515,0.000022676924],"domain_scores_gemma":[0.99978167,0.000024791916,0.00006140513,0.000010386464,0.00009533488,0.0000264301],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022021505,0.0002877325,0.00021663285,0.00046397574,0.00051222247,0.0006874104,0.00011792179,0.00020840703,0.00022529688],"category_scores_gemma":[0.0002176932,0.0001447925,0.0003482915,0.0007055343,0.00018917407,0.00025239045,0.00026973957,0.00023427559,0.000083169434],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028984423,0.000027588965,0.9492084,0.0000450148,0.00009801484,0.00019841203,0.00046564508,0.00055616105,0.041495875,0.00006182514,0.00015752699,0.0073957555],"study_design_scores_gemma":[0.0000015420039,0.000016996462,0.9969715,0.0000033527022,0.000014536638,0.00003243258,0.00024565367,0.00024952358,0.0020139555,0.000013234094,0.00043354477,0.000003701355],"about_ca_topic_score_codex":0.038511578,"about_ca_topic_score_gemma":0.05886162,"teacher_disagreement_score":0.038511578,"about_ca_system_score_codex":0.0005070548,"about_ca_system_score_gemma":0.00042681204,"threshold_uncertainty_score":0.0765748},"labels":[],"label_agreement":null},{"id":"W4389265618","doi":"10.1016/j.accre.2023.11.015","title":"Evaluating modified effects of family factors on intervention to protect primary school students from the impact of heatwave","year":2023,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Climate Change and Health Impacts","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":"Carleton University","funders":"","keywords":"Intervention (counseling); Psychological intervention; Propensity score matching; Medicine; Affect (linguistics); Matching (statistics); Significant difference; Psychology; Nursing","score_opus":0.4318100034153891,"score_gpt":0.5796346374681449,"score_spread":0.1478246340527558,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389265618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99597126,0.0012422402,0.000900981,0.00016868085,0.00008303234,0.0007740817,0.00015676103,0.000028191014,0.0006747949],"genre_scores_gemma":[0.9964096,0.00047613936,0.0018908619,0.00008968501,0.000023298766,0.0007778538,0.00007632176,0.0000030022456,0.0002533268],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99722254,0.0016118269,0.00020029028,0.0002915894,0.00032277883,0.00035102208],"domain_scores_gemma":[0.99789196,0.00094268477,0.000556677,0.00016638993,0.00018653777,0.00025574057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0045726746,0.00057463493,0.00080634677,0.00044719412,0.00042774418,0.00034795632,0.00054518157,0.0005346809,0.0026231846],"category_scores_gemma":[0.0077146483,0.00020556201,0.0020228445,0.00035703921,0.00041616982,0.0005346714,0.0006218342,0.0005879379,0.00011797791],"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":[0.050952252,0.05853424,0.24240127,0.0072116745,0.0073187407,0.000419086,0.0031182524,0.004855186,0.006729865,0.0012368811,0.0013944478,0.6158281],"study_design_scores_gemma":[0.0061220904,0.13669103,0.8316648,0.0011231906,0.0076997424,0.00007174034,0.0011162625,0.004515714,0.006498409,0.0008554568,0.0035768307,0.00006467407],"about_ca_topic_score_codex":0.0044285087,"about_ca_topic_score_gemma":0.0061581144,"teacher_disagreement_score":0.0045726746,"about_ca_system_score_codex":0.0009773672,"about_ca_system_score_gemma":0.0021362172,"threshold_uncertainty_score":0.024182916},"labels":[],"label_agreement":null},{"id":"W4391470049","doi":"10.1016/j.accre.2024.01.011","title":"Reliability ensemble averaging reduces surface wind speed projection uncertainties in the 21st century over China","year":2024,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Wind Energy Research and Development","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Masonry Design Centre; National Natural Science Foundation of China","keywords":"China; Environmental science; Wind speed; Meteorology; Climatology; Term (time); Coupled model intercomparison project; Reliability (semiconductor); Atmospheric sciences; Computer science; Geology; Geography; Climate model; Physics; Climate change; Power (physics)","score_opus":0.06411990559957606,"score_gpt":0.36940436872359644,"score_spread":0.30528446312402036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391470049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9381733,0.0006962628,0.056501683,0.00041745522,0.000064095104,0.000021153744,0.000678339,0.00040848373,0.0030392709],"genre_scores_gemma":[0.9954725,0.00020976398,0.003567384,0.000023530401,0.00001894887,0.000011055097,0.0004821685,0.00002504655,0.0001895423],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99953866,0.00014660574,0.00003427777,0.000107322805,0.00010451184,0.000068627276],"domain_scores_gemma":[0.9989623,0.00030228964,0.0001186823,0.00020483341,0.00035835634,0.00005347895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002307425,0.00066838536,0.0005049408,0.00072890084,0.00040633793,0.00060347264,0.0005333882,0.00035548184,0.00047997542],"category_scores_gemma":[0.003949524,0.00027553487,0.0009824922,0.00093391375,0.00024445064,0.0010896075,0.0007845205,0.00042483804,0.00008777544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045568297,0.000016213095,0.052760933,0.000032805336,0.00017435708,0.00011014468,0.00007367895,0.90797967,0.0007083592,0.0011182445,0.00073913345,0.036240924],"study_design_scores_gemma":[0.0000057127886,0.000017080418,0.01864934,0.00000834814,0.000044272863,0.000015301664,0.00003300979,0.9789971,0.00045051103,0.0011009782,0.0006640103,0.0000144570295],"about_ca_topic_score_codex":0.049340017,"about_ca_topic_score_gemma":0.025818298,"teacher_disagreement_score":0.049340017,"about_ca_system_score_codex":0.0005659582,"about_ca_system_score_gemma":0.0012164691,"threshold_uncertainty_score":0.09810561},"labels":[],"label_agreement":null},{"id":"W4392649850","doi":"10.1016/j.accre.2024.03.002","title":"Enhanced detection of freeze‒thaw induced landslides in Zhidoi county (Tibetan Plateau, China) with Google Earth Engine and image fusion","year":2024,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Landslides and related hazards","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 Alberta; University of Manitoba","funders":"High-end Foreign Experts Recruitment Plan of China","keywords":"Landslide; Remote sensing; Plateau (mathematics); Random forest; Environmental science; Scale (ratio); Sensor fusion; Computer science; Geology; Cartography; Artificial intelligence; Geomorphology; Geography; Mathematics","score_opus":0.02759478375164432,"score_gpt":0.3282798565277524,"score_spread":0.30068507277610806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392649850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98173195,0.00026247813,0.014811442,0.000083419305,0.000030168623,0.000030404568,0.0013507409,0.00064059545,0.0010588173],"genre_scores_gemma":[0.9861339,0.000113803086,0.01182957,0.000025958165,0.000012551902,0.000013644061,0.0015946081,0.000019378089,0.00025651694],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998086,0.000014974551,0.000008092585,0.000039709448,0.00006699771,0.000061700295],"domain_scores_gemma":[0.9998343,0.000017410472,0.00002634291,0.00001657119,0.00008381521,0.000021612374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037826234,0.00046409733,0.00031959947,0.002258379,0.00016764858,0.00039049925,0.00032115844,0.00029253773,0.00032493548],"category_scores_gemma":[0.00038954557,0.0001406144,0.00049085624,0.0014105648,0.00015044888,0.00036640457,0.00041490325,0.00020694235,0.000147417],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009861228,0.00032573316,0.40909806,0.0005531969,0.00044572467,0.0019088049,0.0010052777,0.056693915,0.18275744,0.0007636199,0.006401026,0.33906105],"study_design_scores_gemma":[0.00004335673,0.00014699432,0.6832757,0.000039730257,0.00021192472,0.0006087089,0.00076199207,0.2853321,0.027233401,0.00039967606,0.0018703262,0.00007601713],"about_ca_topic_score_codex":0.01156483,"about_ca_topic_score_gemma":0.015083483,"teacher_disagreement_score":0.01156483,"about_ca_system_score_codex":0.00017279187,"about_ca_system_score_gemma":0.00030521504,"threshold_uncertainty_score":0.022994995},"labels":[],"label_agreement":null},{"id":"W4401556379","doi":"10.1016/j.accre.2024.08.004","title":"State of polar climate (2025)","year":2024,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Polar; Environmental science; State (computer science); Computer science; Physics","score_opus":0.08973134710762591,"score_gpt":0.3888410366180751,"score_spread":0.2991096895104492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401556379","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":[0.05012965,0.021977542,0.0026735417,0.0059061004,0.00506175,0.0002816404,0.339296,0.0010885485,0.57358515],"genre_scores_gemma":[0.49529222,0.017076135,0.004313473,0.004660391,0.0013894892,0.00057150715,0.32121736,0.00022716688,0.15525222],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9998332,0.000023382767,0.000013527642,0.000030986557,0.000045173234,0.000053734402],"domain_scores_gemma":[0.9997216,0.000014178537,0.00005484759,0.000017813049,0.000116740914,0.00007478711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044746342,0.00033468165,0.00012095928,0.0006909588,0.00050935504,0.0013493649,0.00026359168,0.00034305447,0.039376326],"category_scores_gemma":[0.00045519113,0.00005633535,0.00017418539,0.0015969472,0.00014183187,0.000538377,0.0006437288,0.0005091046,0.015682504],"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":[0.00035272358,0.000049531296,0.08244118,0.0010451428,0.00007671498,0.00030101498,0.00041209866,0.000552837,0.0013331955,0.018670054,0.57987875,0.31488672],"study_design_scores_gemma":[0.000017803119,0.000030818348,0.07809636,0.00025584945,0.000017102047,0.00011238876,0.00032468594,0.00020605657,0.00035090037,0.0012279354,0.91934687,0.000013155407],"about_ca_topic_score_codex":0.0222005,"about_ca_topic_score_gemma":0.021649722,"teacher_disagreement_score":0.039376326,"about_ca_system_score_codex":0.00072101323,"about_ca_system_score_gemma":0.0015473135,"threshold_uncertainty_score":0.13172692},"labels":[],"label_agreement":null},{"id":"W4402828093","doi":"10.1016/j.accre.2024.09.004","title":"Turbulent heat fluxes in the North Water Polynya and ice estimated based on ASRv2 data and their impact on cloud","year":2024,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); National Center for Atmospheric Research; National Aeronautics and Space Administration","keywords":"Environmental science; Turbulence; Climatology; Meteorology; Cloud computing; Atmospheric sciences; Geology; Geography; Computer science","score_opus":0.12326938614355486,"score_gpt":0.3892925968039268,"score_spread":0.26602321066037193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402828093","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99935454,0.000042431544,0.00008867952,0.00000791349,0.0000022265235,0.000001768148,0.00032207693,0.000004975829,0.00017533009],"genre_scores_gemma":[0.9983803,0.000054676464,0.00024688212,0.0000048956886,0.0000027533736,0.00000482829,0.0012094037,0.0000034532043,0.000092857576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998355,0.000022535645,0.000018206372,0.000054495158,0.00003093552,0.000038272723],"domain_scores_gemma":[0.9997677,0.000051789608,0.00005968336,0.00002790402,0.000053742824,0.000039104365],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035222096,0.00043952314,0.00017750007,0.00069992786,0.00034333323,0.0005265702,0.00018237288,0.00025168664,0.0003250774],"category_scores_gemma":[0.00070221024,0.00019119034,0.0004115916,0.0007227403,0.00023139258,0.00047659993,0.00031666688,0.00023449908,0.0000625047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001517732,0.00004889331,0.9758733,0.00003332607,0.00012814063,0.00015868983,0.0002571618,0.011256428,0.006965762,0.000122055004,0.00018297308,0.0048213787],"study_design_scores_gemma":[0.00001028309,0.0000145824715,0.97922885,0.000009466968,0.000028145252,0.000039143844,0.00017134611,0.018727913,0.0013698247,0.000032391403,0.00035785575,0.000010156544],"about_ca_topic_score_codex":0.12058932,"about_ca_topic_score_gemma":0.14371847,"teacher_disagreement_score":0.12058932,"about_ca_system_score_codex":0.000838901,"about_ca_system_score_gemma":0.00059195346,"threshold_uncertainty_score":0.23977482},"labels":[],"label_agreement":null},{"id":"W4402897842","doi":"10.1016/j.accre.2024.09.005","title":"Water budgets in an arid and alpine permafrost basin: Observations from the High Mountain Asia","year":2024,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Natural Science Foundation of China","keywords":"Permafrost; Arid; Structural basin; Earth science; Physical geography; Environmental science; Geology; Hydrology (agriculture); Geography; Geomorphology; Oceanography; Paleontology","score_opus":0.18389645179551975,"score_gpt":0.3818080530303648,"score_spread":0.19791160123484505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402897842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995783,0.000027021611,0.000031483458,0.000009008307,5.1182093e-7,0.0000013341956,0.00018062256,0.00000405288,0.00016770174],"genre_scores_gemma":[0.9994178,0.000044583518,0.00009682956,0.0000058834617,0.0000022909578,0.0000034829413,0.00037261104,0.0000013676829,0.000055296292],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99995685,0.0000055459586,0.000005569491,0.000013528916,0.000007540941,0.000010964883],"domain_scores_gemma":[0.9999069,0.000010639613,0.000026506515,0.0000090163585,0.000020159401,0.00002679703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018000329,0.00021657151,0.00019854981,0.0005110355,0.00032140285,0.0003475416,0.00025373342,0.00019879814,0.00038643787],"category_scores_gemma":[0.00015499744,0.00012584541,0.00020418776,0.0008936721,0.00022119758,0.0003477207,0.00022993183,0.00009870585,0.000050185914],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007292339,0.000054305572,0.98117757,0.000048198362,0.00006194396,0.0003069534,0.00081691396,0.002044371,0.0068077953,0.00008390982,0.00026397267,0.008261073],"study_design_scores_gemma":[0.000004768472,0.000014112908,0.99669826,0.000004075416,0.000013541479,0.000034969176,0.00026405047,0.002488385,0.00022750115,0.000017310107,0.00022932375,0.0000037163043],"about_ca_topic_score_codex":0.032339767,"about_ca_topic_score_gemma":0.041412733,"teacher_disagreement_score":0.032339767,"about_ca_system_score_codex":0.0004345095,"about_ca_system_score_gemma":0.0003626179,"threshold_uncertainty_score":0.06430304},"labels":[],"label_agreement":null},{"id":"W4408240312","doi":"10.1016/j.accre.2025.02.010","title":"The freezing‒thawing index and permafrost extent in pan-Arctic experienced rapid changes following the global warming hiatus","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China","keywords":"Permafrost; Hiatus; Arctic; Global warming; Environmental science; Index (typography); The arctic; Climatology; Climate change; Physical geography; Geology; Oceanography; Geography","score_opus":0.08747826038098866,"score_gpt":0.3884365070552902,"score_spread":0.30095824667430154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408240312","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99624556,0.000690859,0.00037563322,0.000111014626,0.000022957323,0.000004345072,0.0010935101,0.00002192764,0.0014341617],"genre_scores_gemma":[0.99776983,0.0004531421,0.00044873843,0.000035972844,0.000017826726,0.000006156863,0.0009853453,0.0000060922293,0.00027695505],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989617,0.000011430649,0.000012850843,0.000032281452,0.000023747232,0.000023494396],"domain_scores_gemma":[0.99974114,0.000012743864,0.0000916611,0.000011198227,0.00011384129,0.000029459707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027568202,0.00019022876,0.0001780795,0.00041134233,0.00027437566,0.00038157825,0.00010281416,0.00014026876,0.00043309364],"category_scores_gemma":[0.00032253642,0.00006988137,0.00027449417,0.0007472596,0.00017023465,0.0002916708,0.00022868214,0.00024622676,0.00007699353],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009707146,0.000019118552,0.97157246,0.000098407356,0.0001470504,0.00021607385,0.00050914317,0.001193869,0.007483657,0.00019178458,0.00077809324,0.01769325],"study_design_scores_gemma":[9.0435736e-7,0.00000850458,0.9978472,0.0000077026825,0.000020170975,0.000038831917,0.00021791343,0.00046678694,0.00036375027,0.000040696897,0.0009839264,0.000003550596],"about_ca_topic_score_codex":0.05541739,"about_ca_topic_score_gemma":0.09179178,"teacher_disagreement_score":0.05541739,"about_ca_system_score_codex":0.00037729013,"about_ca_system_score_gemma":0.0004806313,"threshold_uncertainty_score":0.11018968},"labels":[],"label_agreement":null},{"id":"W4408251516","doi":"10.1016/j.accre.2025.02.008","title":"Projection of sea ice conditions in the Canadian Arctic Archipelago based on CMIP6 assessments","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou); National Natural Science Foundation of China; Natural Science Foundation of Shanghai","keywords":"Archipelago; Arctic; Climatology; Projection (relational algebra); Oceanography; The arctic; Sea ice; Environmental science; Geology; Computer science","score_opus":0.09655109538240296,"score_gpt":0.41661735304657727,"score_spread":0.3200662576641743,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408251516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.904063,0.0025165398,0.004082749,0.0008049629,0.00010052229,0.0001106699,0.06971017,0.0004686843,0.018142633],"genre_scores_gemma":[0.9593915,0.002125032,0.0056893686,0.000089392866,0.000016779739,0.00005288438,0.030976547,0.000030316653,0.00162815],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997315,0.000020088546,0.000011296522,0.0000345691,0.00013694934,0.00006553672],"domain_scores_gemma":[0.9993432,0.000015114494,0.000032241267,0.000016392256,0.00054055464,0.000052449166],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006115862,0.001134878,0.00018511823,0.002055568,0.0006306063,0.0008014972,0.0005622633,0.0003006777,0.00096568826],"category_scores_gemma":[0.0008547996,0.00020760598,0.000729754,0.0026841646,0.00021575391,0.00033726392,0.00048224602,0.00034863284,0.00018943129],"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":[0.0002991277,0.00012235888,0.55695945,0.00052976445,0.0009165834,0.0005044501,0.0003614744,0.34179696,0.0053204335,0.0043178285,0.027566962,0.061304577],"study_design_scores_gemma":[0.000050420957,0.000041485593,0.75524205,0.00020511694,0.00029670252,0.00009228459,0.00096481596,0.21339914,0.002870958,0.000769789,0.025945479,0.00012171509],"about_ca_topic_score_codex":0.97349304,"about_ca_topic_score_gemma":0.97068965,"teacher_disagreement_score":0.02650696,"about_ca_system_score_codex":0.010812603,"about_ca_system_score_gemma":0.013168207,"threshold_uncertainty_score":0.078451216},"labels":[],"label_agreement":null},{"id":"W4409323023","doi":"10.1016/j.accre.2025.04.003","title":"Radiative effects of black carbon in the Arctic due to recent extreme summer fires","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Science and Technology Program of Gansu Province; Science and Technology Department of Gansu Province; National Natural Science Foundation of China; Gansu Postdoctoral Science Foundation","keywords":"Environmental science; Arctic; Carbon black; The arctic; Climatology; Atmospheric sciences; Radiative transfer; Meteorology; Oceanography; Geography; Geology; Chemistry; Physics","score_opus":0.06805102328015716,"score_gpt":0.3659058414875039,"score_spread":0.2978548182073467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409323023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976598,0.00012358719,0.0006073303,0.000100755,0.00003188632,0.0000044844332,0.00012324375,0.00004333766,0.0013055751],"genre_scores_gemma":[0.999387,0.000093765324,0.00021043044,0.000019979387,0.0000073983406,0.0000036640968,0.00009945455,0.000008874106,0.000169454],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99983966,0.000042738036,0.0000104603505,0.000026401955,0.000021583961,0.000059053178],"domain_scores_gemma":[0.9997532,0.00007737607,0.000044307195,0.000017850172,0.00005077191,0.00005645287],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048561132,0.0007808465,0.00047294525,0.0003798369,0.00085043395,0.0007795562,0.00047182743,0.00091187406,0.00086767995],"category_scores_gemma":[0.0007238407,0.00042380614,0.0012579897,0.00038098614,0.0005356388,0.00050680764,0.00050796743,0.0004702931,0.00010720267],"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":[0.00023007771,0.00013873246,0.045077953,0.000056121393,0.00019342806,0.00048443937,0.000091944625,0.9354999,0.014698584,0.0006199794,0.0003720123,0.0025367972],"study_design_scores_gemma":[0.00010601423,0.00009620055,0.054887008,0.000015318237,0.00010264605,0.00008006672,0.00019913739,0.9411917,0.002550599,0.00039651457,0.00033265125,0.00004216464],"about_ca_topic_score_codex":0.084491625,"about_ca_topic_score_gemma":0.04010328,"teacher_disagreement_score":0.084491625,"about_ca_system_score_codex":0.0014282538,"about_ca_system_score_gemma":0.0010251753,"threshold_uncertainty_score":0.16799963},"labels":[],"label_agreement":null},{"id":"W4411201845","doi":"10.1016/j.accre.2025.06.001","title":"State of polar climate (2024)","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; Polar Research Institute of China; National University of Defense Technology; National Natural Science Foundation of China; China Meteorological Administration; Chinese Academy of Meteorological Sciences; Sun Yat-sen University; Chinese Academy of Sciences","keywords":"Polar; State (computer science); Environmental science; Climatology; Meteorology; Computer science; Geology; Geography; Algorithm; Physics; Astronomy","score_opus":0.06395075386611496,"score_gpt":0.3806193937883954,"score_spread":0.31666863992228045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411201845","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.056467675,0.029076675,0.0028266031,0.007171412,0.0067475145,0.0002194768,0.42964235,0.0015300915,0.46631822],"genre_scores_gemma":[0.45470047,0.024624323,0.004926001,0.0052786428,0.0022827093,0.0008094667,0.37620473,0.0004247562,0.13074903],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99978477,0.000037421873,0.000016363956,0.000042503852,0.00005827361,0.00006074841],"domain_scores_gemma":[0.9995933,0.000027236863,0.00009089013,0.000029911904,0.00017097019,0.00008759628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005550594,0.00042585394,0.00016990464,0.0009266872,0.0005671035,0.001634868,0.0003336345,0.00040457133,0.033666525],"category_scores_gemma":[0.0006911153,0.000073281044,0.0001839648,0.0023717573,0.00019203735,0.0006739339,0.00086692465,0.00063138606,0.015572473],"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":[0.00035691215,0.000040569936,0.075629644,0.0013027879,0.00010842179,0.0003510408,0.00043548876,0.00059300003,0.0015093376,0.0153887365,0.6211036,0.28318036],"study_design_scores_gemma":[0.000017124774,0.000025111725,0.054271147,0.00020810224,0.000019320707,0.00012157229,0.000272205,0.00017901593,0.00033656557,0.0011801206,0.9433533,0.000016354092],"about_ca_topic_score_codex":0.01458351,"about_ca_topic_score_gemma":0.01238687,"teacher_disagreement_score":0.033666525,"about_ca_system_score_codex":0.0006625143,"about_ca_system_score_gemma":0.0015727273,"threshold_uncertainty_score":0.11262572},"labels":[],"label_agreement":null},{"id":"W4411350157","doi":"10.1016/j.accre.2025.06.004","title":"Rapid attribution prototype for extreme high temperature events in China","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","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":"Pacific Institute for Climate Solutions; University of Victoria","funders":"China Meteorological Administration; National Natural Science Foundation of China; China National Funds for Distinguished Young Scientists; American Meteorological Society","keywords":"Attribution; China; Environmental science; History; Psychology; Social psychology; Archaeology","score_opus":0.14664371021350714,"score_gpt":0.41424243929717164,"score_spread":0.2675987290836645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411350157","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5683571,0.00014883919,0.41239336,0.00039186724,0.0001878461,0.00070370146,0.0016677729,0.009581225,0.006568211],"genre_scores_gemma":[0.9265463,0.00005107863,0.07137119,0.00003048643,0.000029258517,0.00019401385,0.0010841924,0.00010329953,0.0005902435],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99881375,0.00032041385,0.000101387326,0.0003491219,0.0002928716,0.00012233145],"domain_scores_gemma":[0.9968213,0.0010448035,0.00045175818,0.00066586403,0.00077468867,0.00024165037],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035704311,0.00062958547,0.0005542295,0.0014320532,0.0007193691,0.0011643397,0.0020615316,0.0006867269,0.0029084259],"category_scores_gemma":[0.009506232,0.0003334024,0.000927864,0.0010656466,0.00049182336,0.0018965489,0.0016109301,0.0007059691,0.00039768292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013898426,0.00043681485,0.11493854,0.0003226309,0.00022901324,0.00096322,0.0011946359,0.64959633,0.010308305,0.015857596,0.0067479494,0.19801508],"study_design_scores_gemma":[0.00004629783,0.00008596138,0.009421817,0.000010276556,0.000025409408,0.00006362498,0.00012221234,0.9817868,0.0030776295,0.0038502025,0.001474888,0.000034915658],"about_ca_topic_score_codex":0.008303695,"about_ca_topic_score_gemma":0.0040248116,"teacher_disagreement_score":0.008303695,"about_ca_system_score_codex":0.0011423179,"about_ca_system_score_gemma":0.0014284519,"threshold_uncertainty_score":0.018882513},"labels":[],"label_agreement":null},{"id":"W4411582798","doi":"10.1016/j.accre.2025.06.007","title":"Risk assessment and adaptation technologies for island biodiversity conservation in China under climate change","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Species Distribution and Climate Change","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Climate change; Biodiversity; Climate change adaptation; China; Adaptation (eye); Biodiversity conservation; Environmental science; Environmental resource management; Geography; Ecology; Biology","score_opus":0.15995524890782006,"score_gpt":0.42007602675595873,"score_spread":0.2601207778481387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411582798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.50473726,0.0032495984,0.46154222,0.0045961225,0.00016123823,0.00052143214,0.0016120295,0.0014646626,0.022115424],"genre_scores_gemma":[0.95456386,0.0011254757,0.041855644,0.00012295556,0.000034991608,0.00023863286,0.00048105733,0.00004971906,0.0015275291],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99933124,0.00028365635,0.000042788142,0.00011223722,0.00014199172,0.000088144654],"domain_scores_gemma":[0.9992723,0.00025514656,0.00012709765,0.000066685454,0.00021022979,0.00006858805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024341214,0.001228642,0.00059080584,0.0018459642,0.0007172125,0.0015416486,0.001549993,0.0008487335,0.0024342963],"category_scores_gemma":[0.0023197841,0.0005159282,0.0012313694,0.0009924911,0.0006300768,0.0016922912,0.001596479,0.00079280266,0.00012691034],"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":[0.00003103359,0.00004995542,0.020372208,0.00013548117,0.00013888103,0.00018847281,0.00018891892,0.9370611,0.000953065,0.007358303,0.001171943,0.032350745],"study_design_scores_gemma":[0.000012922619,0.00003410799,0.0051000305,0.000033058754,0.00007523581,0.000037147023,0.00017724742,0.9842218,0.00036983044,0.008517534,0.0013967607,0.000024341221],"about_ca_topic_score_codex":0.043201245,"about_ca_topic_score_gemma":0.031273603,"teacher_disagreement_score":0.043201245,"about_ca_system_score_codex":0.0027847334,"about_ca_system_score_gemma":0.0031434067,"threshold_uncertainty_score":0.08589953},"labels":[],"label_agreement":null},{"id":"W4412746069","doi":"10.1016/j.accre.2025.07.009","title":"Multispecies conservation corridors in China: For climate change adaptation","year":2025,"lang":"en","type":"article","venue":"Advances in Climate Change Research","topic":"Wildlife Ecology and Conservation","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"China; Climate change; Adaptation (eye); Climate change adaptation; Environmental resource management; Environmental science; Geography; Environmental planning; Oceanography; Geology; Archaeology; Biology","score_opus":0.14949873610238368,"score_gpt":0.41250518407048503,"score_spread":0.26300644796810135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412746069","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92351216,0.0006291168,0.070930764,0.0006263881,0.00002581431,0.000073668685,0.0005744312,0.00028882123,0.0033389018],"genre_scores_gemma":[0.9826592,0.00023059886,0.016043665,0.000027989357,0.0000067463425,0.00005561907,0.000350359,0.000013975294,0.00061176985],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998621,0.000041445353,0.000007723634,0.00003842068,0.00001929214,0.000031004536],"domain_scores_gemma":[0.9997677,0.000050120485,0.000056106695,0.000022262475,0.00005097856,0.00005274035],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044195214,0.00031408083,0.00019389158,0.0009346669,0.0005744247,0.0006195694,0.00044350838,0.00030287146,0.0022406795],"category_scores_gemma":[0.00072307064,0.00014115107,0.0005201505,0.0012210076,0.00025482097,0.0010215343,0.000610038,0.0002484747,0.000078276644],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016809902,0.0000991982,0.42822787,0.0004311777,0.00017000739,0.00061863335,0.0011174857,0.34312224,0.011312086,0.02584941,0.002892973,0.1859908],"study_design_scores_gemma":[0.000041707935,0.00014404072,0.25592965,0.00009775056,0.00015754829,0.00025437298,0.0010112944,0.7115875,0.0012591133,0.020234322,0.009213267,0.00006942845],"about_ca_topic_score_codex":0.011681537,"about_ca_topic_score_gemma":0.02091131,"teacher_disagreement_score":0.011681537,"about_ca_system_score_codex":0.00071726035,"about_ca_system_score_gemma":0.0011366513,"threshold_uncertainty_score":0.023227036},"labels":[],"label_agreement":null}]}