{"meta":{"query_hash":"0c548d879fb4","filters":{"venue":"Environmental Research Climate"},"cohort_total":31,"direct_labels_cover":0,"predictions_cover":31,"exported":31,"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/0c548d879fb4","api":"https://metacan.xera.ac/api/v1/cohort?venue=Environmental+Research+Climate"},"results":[{"id":"W4283269777","doi":"10.1088/2752-5295/ac7acb","title":"Potential changes in temperature extreme events under global warming at 1.5 °C and 2 °C over Côte d’Ivoire <sup>*</sup>","year":2022,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":5,"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; Government of Canada","keywords":"Downscaling; Environmental science; Global warming; Climate change; Climatology; Agriculture; Geography; Ecology; Biology","score_opus":0.035232704039106215,"score_gpt":0.2957192033739357,"score_spread":0.2604864993348295,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283269777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963606,0.00021619645,0.00000211824,0.0010051066,0.00007163887,0.00062529685,0.00050453463,0.000030974148,0.001183547],"genre_scores_gemma":[0.99751884,0.000887837,0.00008183896,0.0003112951,0.00004210822,0.00016978839,0.00012108792,0.000035501085,0.00083170825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99522394,0.00065705425,0.00030130724,0.0009482489,0.0016502348,0.001219219],"domain_scores_gemma":[0.99909043,0.000108962005,0.000058877948,0.00045642437,0.0000017965403,0.00028353475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019698648,0.00027751975,0.00024889348,0.00009408727,0.0012360077,0.000056741,0.00043548844,0.00012400601,0.016599352],"category_scores_gemma":[0.000027760458,0.00028651225,0.000073080206,0.00035585728,0.00050944934,0.00029750747,0.0054029585,0.00070677977,0.00028275125],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006623348,0.0014862407,0.77751005,0.000062742896,0.000037415124,0.00030092083,0.0024637938,0.07373025,0.13873878,0.00025178594,0.0010798149,0.0036758636],"study_design_scores_gemma":[0.003827867,0.0008143982,0.9204563,0.00006531829,0.000036607027,0.00024626893,0.0065594786,0.04032682,0.0014344001,0.0059091984,0.01911846,0.0012049078],"about_ca_topic_score_codex":0.00036724113,"about_ca_topic_score_gemma":0.0004032985,"teacher_disagreement_score":0.14294623,"about_ca_system_score_codex":0.0030775291,"about_ca_system_score_gemma":0.000014873233,"threshold_uncertainty_score":0.9999587},"labels":[],"label_agreement":null},{"id":"W4295780316","doi":"10.1088/2752-5295/ac91e8","title":"Impact of the Arctic oscillation from March on summertime sea ice","year":2022,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Sea ice; Arctic oscillation; Arctic ice pack; Climatology; Environmental science; Arctic; Arctic sea ice decline; Anomaly (physics); Oceanography; Ice-albedo feedback; Atmospheric sciences; Sea ice thickness; Geology; Northern Hemisphere","score_opus":0.027771454819470937,"score_gpt":0.28572563245288746,"score_spread":0.25795417763341655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295780316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99479795,0.000052277344,0.0000023718724,0.0003297516,0.00010437368,0.00025568393,0.0019177884,0.000007171573,0.002532616],"genre_scores_gemma":[0.9990897,0.00014283655,0.00004120694,0.00006882256,0.000041465944,0.000004008539,0.00039167207,0.0000067220362,0.00021354164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972313,0.00055111217,0.00018406099,0.00026709592,0.0012776237,0.00048877945],"domain_scores_gemma":[0.99888444,0.0005902362,0.00007129456,0.0003453745,0.0000065588415,0.00010208834],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091265154,0.000106881795,0.000116861236,0.000072326824,0.00084701,0.000021906822,0.00041968847,0.00002781702,0.021431673],"category_scores_gemma":[0.000058615627,0.00007347319,0.00012605621,0.00022489052,0.000307719,0.000093161434,0.00022433155,0.00055209704,0.00040417825],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002073432,0.000079348545,0.9859005,0.0000055470928,0.000023194987,0.0000053443855,0.00017937316,0.008802057,0.00038932273,0.000015561416,0.00010234385,0.0042900606],"study_design_scores_gemma":[0.00021267684,0.00044891553,0.98144007,0.000009243614,0.000006476587,0.000004114991,0.0005452203,0.016148675,0.00002626557,0.0005763624,0.00050069374,0.000081294456],"about_ca_topic_score_codex":0.006476127,"about_ca_topic_score_gemma":0.00014554623,"teacher_disagreement_score":0.021027496,"about_ca_system_score_codex":0.0001508771,"about_ca_system_score_gemma":0.000058053763,"threshold_uncertainty_score":0.97946286},"labels":[],"label_agreement":null},{"id":"W4313366734","doi":"10.1088/2752-5295/aca8c4","title":"Frequent pro-climate messaging does not predict pro-climate voting by United States legislators","year":2022,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Climate Change Communication and Perception","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Voting; Climate change; Action (physics); Political science; Democracy; Law; Ecology; Biology; Politics","score_opus":0.25583931549695144,"score_gpt":0.44224932592323746,"score_spread":0.18641001042628602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313366734","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9696287,0.00040898865,0.0000066802268,0.008154074,0.00029539168,0.0017492343,0.003184838,0.0003498687,0.016222227],"genre_scores_gemma":[0.96225613,0.031920847,0.00009311042,0.00048033742,0.00011711926,0.0008069974,0.0029198315,0.00009063936,0.0013150072],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9906594,0.0029382068,0.00065647607,0.00077410456,0.0027920415,0.0021797533],"domain_scores_gemma":[0.99789166,0.0006343925,0.00027830366,0.00069680804,0.00004804912,0.00045080352],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009266017,0.0003309976,0.00032441303,0.00047853397,0.00781773,0.0004232059,0.0012078588,0.00012209386,0.008942927],"category_scores_gemma":[0.00018563584,0.00031501346,0.00014489875,0.0007158887,0.0011263831,0.0005950621,0.0024623643,0.0012805633,0.000484319],"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":[0.001616438,0.004982806,0.54852545,0.00093777705,0.00030210987,0.0001574922,0.22374517,0.0012322661,0.15315361,0.017959028,0.017554017,0.029833823],"study_design_scores_gemma":[0.0017889526,0.00049701927,0.011895341,0.00017881412,0.000052219,0.000009621253,0.22481115,0.0077505675,0.0030327174,0.00049648515,0.74829453,0.0011925832],"about_ca_topic_score_codex":0.00135771,"about_ca_topic_score_gemma":0.0006033853,"teacher_disagreement_score":0.7307405,"about_ca_system_score_codex":0.0019472912,"about_ca_system_score_gemma":0.000068605,"threshold_uncertainty_score":0.9999302},"labels":[],"label_agreement":null},{"id":"W4322762890","doi":"10.1088/2752-5295/acc08a","title":"Projected expansion of hottest climate zones over Africa during the mid and late 21st century","year":2023,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Forcing (mathematics); Geography; Climatology; Greenhouse gas; Mediterranean climate; Climate change; Global warming; Physical geography; Environmental science; Geology; Archaeology","score_opus":0.036847023859156364,"score_gpt":0.2947594391014118,"score_spread":0.2579124152422554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322762890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99495935,0.0001228022,5.1720747e-7,0.00024589244,0.00006715413,0.00070398796,0.00024337259,0.00007867303,0.0035782247],"genre_scores_gemma":[0.9845242,0.014858899,0.00007220175,0.00001806263,0.000025362053,0.00009719715,0.000046870187,0.000039699516,0.0003175469],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99632394,0.00035091184,0.0003975199,0.0006301869,0.0011255865,0.0011718294],"domain_scores_gemma":[0.99869245,0.00042599151,0.00009804944,0.00059674215,0.0000048819734,0.00018186579],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0021124633,0.00022720807,0.00022991956,0.00012806266,0.00079491496,0.00006513504,0.0003906938,0.00010998213,0.0016458671],"category_scores_gemma":[0.000099849676,0.00016916807,0.00008230384,0.0005688472,0.0012038919,0.00032516435,0.0023486097,0.00040738628,0.00085398427],"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":[0.00027368477,0.00034061467,0.25625214,0.00020437822,0.000025122761,0.000037670135,0.0038040061,0.00081735506,0.73567253,0.00015868084,0.00016443618,0.0022493675],"study_design_scores_gemma":[0.0007625521,0.0001493222,0.97986525,0.000070114955,0.0000153199,0.000009147788,0.0021649008,0.003242761,0.009469334,0.00041646336,0.0035586562,0.00027616182],"about_ca_topic_score_codex":0.00017136105,"about_ca_topic_score_gemma":0.00003631329,"teacher_disagreement_score":0.7262032,"about_ca_system_score_codex":0.00024136178,"about_ca_system_score_gemma":0.000008521666,"threshold_uncertainty_score":0.99992394},"labels":[],"label_agreement":null},{"id":"W4362659229","doi":"10.1088/2752-5295/accb01","title":"Reporting evidence on the environmental and health impacts of climate change on Indigenous Peoples of Atlantic Canada: a systematic review","year":2023,"lang":"en","type":"review","venue":"Environmental Research Climate","topic":"Indigenous Studies and Ecology","field":"Health Professions","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":"University of Prince Edward Island","funders":"","keywords":"Indigenous; Climate change; Government (linguistics); Geography; Environmental resource management; Traditional knowledge; Mental health; Environmental planning; Political science; Systematic review; MEDLINE; Ecology; Psychology; Environmental science","score_opus":0.3978990402929802,"score_gpt":0.5211953226315111,"score_spread":0.12329628233853096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362659229","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0120549,0.97029847,2.1959059e-8,0.00052424753,0.00015631618,0.01598544,0.00087112765,0.000016084205,0.00009338412],"genre_scores_gemma":[0.01290424,0.9834285,0.0000024590884,0.00050303544,0.00008862152,0.0027680793,0.00013595873,0.00011164673,0.000057498244],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.986751,0.0039881268,0.004406476,0.0006906455,0.0015407482,0.0026229734],"domain_scores_gemma":[0.98460066,0.007759231,0.0062898807,0.001063113,0.000020069821,0.00026706848],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.021403179,0.0005374968,0.004155321,0.00024862718,0.0035637212,0.000008757005,0.00057010114,0.00024523324,0.000196637],"category_scores_gemma":[0.0026730266,0.0003303454,0.00030348022,0.000275691,0.00032431402,0.000054470638,0.0014946283,0.0016734425,0.00037773346],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000189026,0.00011851051,0.003202704,0.9865705,0.00020308683,0.00007499595,0.006761935,5.120935e-8,9.4381124e-7,0.000057654634,0.00030496804,0.0026857893],"study_design_scores_gemma":[0.00012941568,0.0010695668,0.0058673522,0.9760174,0.00042021624,0.000032463347,0.013444939,9.618021e-7,4.89152e-7,0.000004138915,0.0027109343,0.0003020873],"about_ca_topic_score_codex":0.13997999,"about_ca_topic_score_gemma":0.3273952,"teacher_disagreement_score":0.18741521,"about_ca_system_score_codex":0.0038666143,"about_ca_system_score_gemma":0.0014214545,"threshold_uncertainty_score":0.9999574},"labels":[],"label_agreement":null},{"id":"W4364356009","doi":"10.1088/2752-5295/accbe3","title":"Variability modes of September Arctic sea ice: drivers and their contributions to sea ice trend and extremes","year":2023,"lang":"en","type":"article","venue":"Environmental Research Climate","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":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Svenska Forskningsrådet Formas","keywords":"Sea ice; Arctic sea ice decline; Arctic ice pack; Climatology; Arctic; Arctic oscillation; Sea ice concentration; Environmental science; Arctic geoengineering; Oceanography; Drift ice; Arctic dipole anomaly; Antarctic sea ice; Cryosphere; North Atlantic oscillation; Geology; Sea ice thickness; Northern Hemisphere","score_opus":0.02350252366900654,"score_gpt":0.288424216260919,"score_spread":0.2649216925919125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4364356009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429524,0.000077705336,0.000056840745,0.00050705805,0.000032335593,0.00028022262,0.002725651,0.000024009654,0.002000932],"genre_scores_gemma":[0.99790305,0.0012787768,0.00018000454,0.000043167525,0.000025365385,0.000004900262,0.0003058463,0.0000059475974,0.0002529676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814606,0.0002812396,0.00019615932,0.00036938224,0.00040818955,0.0005989694],"domain_scores_gemma":[0.9983819,0.0010516332,0.000037077232,0.0002132714,0.00001516562,0.00030095223],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016069186,0.00014067354,0.00019469872,0.00012113127,0.00044030225,0.00004166363,0.00014211,0.00006412867,0.000945433],"category_scores_gemma":[0.0001672606,0.00011258455,0.00004118674,0.00025692853,0.0006446885,0.00019706902,0.00017507425,0.00024065288,0.00017846277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008038238,0.000042894797,0.98804426,0.00007811076,0.00003296399,0.000010043746,0.00093998306,0.00045993165,0.0011706068,0.000114143855,0.00014452604,0.008882135],"study_design_scores_gemma":[0.00034856642,0.00018793854,0.94965434,0.000034545705,0.000014396302,0.000010841653,0.0050144126,0.04132412,0.0002019745,0.0019152166,0.0011396066,0.00015403997],"about_ca_topic_score_codex":0.00045224134,"about_ca_topic_score_gemma":0.00050876534,"teacher_disagreement_score":0.04086419,"about_ca_system_score_codex":0.000037547765,"about_ca_system_score_gemma":0.000023751925,"threshold_uncertainty_score":0.9999678},"labels":[],"label_agreement":null},{"id":"W4382197095","doi":"10.1088/2752-5295/ace211","title":"Ultrafast Arctic amplification and its governing mechanisms","year":2023,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Albedo (alchemy); Arctic; Climatology; Atmospheric sciences; Ice-albedo feedback; Anomaly (physics); Environmental science; Latent heat; Flux (metallurgy); The arctic; Arctic ice pack; Forcing (mathematics); Sea ice; Chemistry; Meteorology; Physics; Geology; Oceanography; Sea ice thickness","score_opus":0.06837375151151791,"score_gpt":0.3249251059056056,"score_spread":0.25655135439408766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382197095","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955205,0.000021408772,0.00008111376,0.0004581793,0.000049289425,0.00040797496,0.00010130791,0.000095568466,0.003264698],"genre_scores_gemma":[0.99706113,0.001695607,0.00014490476,0.000057823112,0.000019850771,0.00009128957,0.000092642455,0.000029397037,0.00080734264],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972538,0.0001985738,0.00021982336,0.0005880527,0.0009252826,0.00081450795],"domain_scores_gemma":[0.99910635,0.00030291657,0.000044711815,0.0003113968,0.0000028403208,0.00023180983],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023134525,0.00014713235,0.00012838612,0.00007765892,0.0005702791,0.0000728515,0.00024047955,0.000083704705,0.003568499],"category_scores_gemma":[0.0001637821,0.00014607917,0.00003962166,0.00033233187,0.00028933116,0.00033078348,0.0008606319,0.00031790975,0.014630817],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060567163,0.00021429836,0.038642712,0.000067545654,0.000012649145,0.000024362318,0.0010973345,0.0015026417,0.95053506,0.004942128,0.00018812143,0.0027125871],"study_design_scores_gemma":[0.0012696382,0.000475545,0.83788383,0.00009318815,0.00002811291,0.00004512822,0.0032827058,0.072291434,0.045999203,0.025881978,0.0118552055,0.00089401787],"about_ca_topic_score_codex":0.00006243414,"about_ca_topic_score_gemma":0.00002045248,"teacher_disagreement_score":0.90453583,"about_ca_system_score_codex":0.00041970838,"about_ca_system_score_gemma":0.000004663137,"threshold_uncertainty_score":0.99734235},"labels":[],"label_agreement":null},{"id":"W4388817945","doi":"10.1088/2752-5295/ad0e13","title":"Climate change impacts on global potato yields: a review","year":2023,"lang":"en","type":"review","venue":"Environmental Research Climate","topic":"Potato Plant Research","field":"Agricultural and Biological Sciences","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Prince Edward Island; University of Prince Edward Island","funders":"","keywords":"Climate change; Environmental science; Precipitation; Global warming; Agriculture; Climate model; Crop; Natural resource economics; Agricultural productivity; Food security; Agronomy; Ecology; Geography; Meteorology; Biology; Economics","score_opus":0.31438858215225424,"score_gpt":0.44526397376020715,"score_spread":0.13087539160795292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388817945","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0006168736,0.98337585,4.444761e-9,0.00058493554,0.00012411954,0.0037870696,0.008432009,0.00017274352,0.0029064151],"genre_scores_gemma":[0.00006578018,0.99490404,0.000003817351,0.0003847347,0.0005347133,0.0013551284,0.0025231475,0.000017242242,0.00021138876],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99002135,0.0016599232,0.000897837,0.0013924671,0.0028214217,0.0032070098],"domain_scores_gemma":[0.9965346,0.0018517853,0.00028042993,0.00043871946,0.000021814538,0.0008726679],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0047655245,0.00077370706,0.0017905607,0.00009953866,0.0007152889,0.00023467297,0.0016618663,0.00049466075,0.0021609354],"category_scores_gemma":[0.0004634578,0.0003041754,0.00078306097,0.0015302362,0.0003453605,0.00021463499,0.00221112,0.0017380947,0.036882486],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025930573,0.00020063278,0.000058277277,0.015986,0.00005033371,0.00045669012,0.0000069431007,1.0148321e-8,0.00001644393,0.00008260816,0.004818597,0.97829753],"study_design_scores_gemma":[0.00008235132,0.00061824586,0.0012935281,0.069702,0.00008599564,0.00009490943,0.000037431684,0.0000013415327,0.0000025686973,0.000065150234,0.92746466,0.0005518065],"about_ca_topic_score_codex":0.00014290653,"about_ca_topic_score_gemma":0.00018370968,"teacher_disagreement_score":0.9777457,"about_ca_system_score_codex":0.0010490183,"about_ca_system_score_gemma":0.00004136986,"threshold_uncertainty_score":0.99994105},"labels":[],"label_agreement":null},{"id":"W4389427047","doi":"10.1088/2752-5295/ad1334","title":"Correcting for artificial heat in coupled sea ice perturbation experiments","year":2023,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sea ice; Climatology; Latitude; Environmental science; Perturbation (astronomy); Energy balance; Atmospheric sciences; Arctic ice pack; Meteorology; Heat flux; Climate model; Geology; Climate change; Heat transfer; Geodesy; Mechanics; Oceanography; Physics","score_opus":0.06900547230633279,"score_gpt":0.33300121817414213,"score_spread":0.26399574586780933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389427047","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99792254,0.000037782196,0.00009512072,0.00026230476,0.0002269951,0.0004456745,0.00012747332,0.000035002522,0.00084711245],"genre_scores_gemma":[0.99829215,0.00020916788,0.00018245504,0.000056937137,0.00009669582,0.000020436572,0.0007186736,0.000008250354,0.0004152488],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981505,0.000110263456,0.0002085288,0.00029879043,0.00050757924,0.0007243327],"domain_scores_gemma":[0.99908525,0.0006543868,0.000022589913,0.00012499755,0.0000066605603,0.00010610505],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014498577,0.00010012042,0.000115977586,0.00015363512,0.00045295796,0.000054049095,0.0001464008,0.000056874953,0.0009841963],"category_scores_gemma":[0.00014072683,0.00009407217,0.000041642135,0.00025701642,0.00013154472,0.00018897244,0.000048379916,0.0002135808,0.0009999605],"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":[0.0004789677,0.00012463055,0.93230784,0.00005977032,0.000015192273,0.000046644946,0.0025596218,0.0068619843,0.0038968818,0.00008471257,0.00020917387,0.053354558],"study_design_scores_gemma":[0.00039205424,0.00020357769,0.3151194,0.000026230184,0.000002896535,0.0000061233336,0.007643683,0.6745759,0.000513854,0.0009885099,0.00037590176,0.00015184974],"about_ca_topic_score_codex":0.00048516595,"about_ca_topic_score_gemma":0.00031379345,"teacher_disagreement_score":0.66771394,"about_ca_system_score_codex":0.000059263617,"about_ca_system_score_gemma":0.00002144053,"threshold_uncertainty_score":0.999929},"labels":[],"label_agreement":null},{"id":"W4391740668","doi":"10.1088/2752-5295/ad285a","title":"Spatio-temporal patterns and trends in MODIS-retrieved radiative forcing by snow impurities over the Western US from 2001 to 2022","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Cryospheric studies and observations","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":"National Aeronautics and Space Administration","keywords":"Snow; Radiative forcing; Forcing (mathematics); Climatology; Environmental science; Radiative transfer; Meteorology; Remote sensing; Physical geography; Atmospheric sciences; Geography; Geology; Physics; Aerosol","score_opus":0.035065761974208076,"score_gpt":0.29493192150328545,"score_spread":0.2598661595290774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391740668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913399,0.003075833,0.000022607104,0.0011600405,0.000100880156,0.00018567168,0.0038943384,0.000012342923,0.00020838894],"genre_scores_gemma":[0.9949598,0.0030498123,0.000034406086,0.00019709508,0.00007422527,0.000013865297,0.00076666614,0.0000070557244,0.0008970814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846077,0.00011889755,0.00016957024,0.00031484416,0.00044738766,0.00048851874],"domain_scores_gemma":[0.9992206,0.00050880085,0.000017469873,0.00013463106,0.0000024783462,0.00011599258],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049527286,0.00011733656,0.00012340922,0.000053333013,0.00030097488,0.0001836603,0.00014775615,0.000034874905,0.0058451514],"category_scores_gemma":[0.00002350079,0.00008474666,0.00003221728,0.00028307879,0.00013239229,0.00020458923,0.00011803679,0.00025672794,0.00011796101],"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":[0.00003377083,0.000012535865,0.96858364,0.000006106313,0.000015589088,0.000014763505,0.0013393142,0.00018916794,0.000022765205,0.0000016341854,0.004741859,0.025038838],"study_design_scores_gemma":[0.00016569124,0.00010170193,0.963632,0.000028621753,0.000003625782,6.4932595e-7,0.0018201433,0.009811238,0.000021742284,0.000066109635,0.024247525,0.000100978286],"about_ca_topic_score_codex":0.023840424,"about_ca_topic_score_gemma":0.031389523,"teacher_disagreement_score":0.02493786,"about_ca_system_score_codex":0.000049055783,"about_ca_system_score_gemma":0.00000800796,"threshold_uncertainty_score":0.99506366},"labels":[],"label_agreement":null},{"id":"W4394871200","doi":"10.1088/2752-5295/ad3fdb","title":"Assessment of precipitation and near-surface temperature simulation by CMIP6 models in South America","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","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":"SickKids Foundation","funders":"Agência Nacional de Energia Elétrica","keywords":"Precipitation; Climatology; Environmental science; Surface (topology); Geology; Meteorology; Geography; Mathematics; Geometry","score_opus":0.032961315058783205,"score_gpt":0.3500747198288628,"score_spread":0.3171134047700796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394871200","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964216,0.00026996149,0.00035359256,0.00014503149,0.000031633484,0.0004959301,0.00022665027,0.000024104256,0.0020315305],"genre_scores_gemma":[0.9975721,0.00066693913,0.0014550086,0.000022348218,0.0000067613705,0.000028784521,0.00008622388,0.00002315559,0.0001386541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9976837,0.00026465324,0.0003047063,0.0005337835,0.0007741576,0.0004390002],"domain_scores_gemma":[0.9992435,0.00036310515,0.000038478323,0.00023971261,0.0000030485694,0.00011214033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012358022,0.0001450809,0.00017002992,0.0000396662,0.00015199947,0.000109432134,0.00013624947,0.00010179939,0.0007837136],"category_scores_gemma":[0.000028909826,0.0001363545,0.000038676695,0.0002871695,0.0005475529,0.0005434707,0.0003819792,0.00040037493,0.000085506574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039620554,0.0002568988,0.052269254,0.000089269146,0.0000102709955,0.000006086968,0.0040851333,0.75984204,0.18074079,0.0002148119,0.00009705486,0.0023487578],"study_design_scores_gemma":[0.00024531028,0.00015331758,0.06346773,0.00005862423,0.000006221784,7.339667e-7,0.00066777243,0.93258774,0.0006094682,0.0014535622,0.000600308,0.00014923175],"about_ca_topic_score_codex":0.00010834501,"about_ca_topic_score_gemma":0.000011255623,"teacher_disagreement_score":0.18013132,"about_ca_system_score_codex":0.00044622764,"about_ca_system_score_gemma":0.000015990927,"threshold_uncertainty_score":0.85811144},"labels":[],"label_agreement":null},{"id":"W4394892947","doi":"10.1088/2752-5295/ad3fda","title":"Linking cumulative carbon emissions to observable climate impacts","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Observable; Environmental science; Greenhouse gas; Climate change; Carbon fibers; Computer science; Geology; Physics; Oceanography","score_opus":0.22304661802683345,"score_gpt":0.37191143246090175,"score_spread":0.1488648144340683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394892947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9372439,0.0034075608,0.000015336387,0.0018625257,0.00047848118,0.0004999056,0.0017014045,0.00011574327,0.054675173],"genre_scores_gemma":[0.9884981,0.009231704,0.00025974915,0.00030420514,0.00033556248,0.00011230622,0.00014432508,0.00010193341,0.0010121141],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966278,0.000052089967,0.00068688503,0.00085598306,0.00014570508,0.0016315404],"domain_scores_gemma":[0.9985418,0.00031489832,0.00008508667,0.0005308794,0.000006602373,0.00052077475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0025310395,0.00026708707,0.000404649,0.0005960104,0.0004600742,0.00039217016,0.00038532846,0.00016298637,0.0016510867],"category_scores_gemma":[0.00015125207,0.000302564,0.00015894427,0.00042075405,0.00013927696,0.00039069913,0.00084069767,0.00060855114,0.010308922],"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":[0.0006144743,0.0013881117,0.5440704,0.0024722088,0.0005656886,0.00060512323,0.035270754,0.0025669625,0.024976805,0.3672808,0.00662275,0.013565885],"study_design_scores_gemma":[0.001925637,0.0013169793,0.13070337,0.0019028849,0.00004218018,0.00006798873,0.005106913,0.123376355,0.007652839,0.12960516,0.5950579,0.0032417637],"about_ca_topic_score_codex":0.00023074695,"about_ca_topic_score_gemma":0.00005898037,"teacher_disagreement_score":0.5884352,"about_ca_system_score_codex":0.0010249176,"about_ca_system_score_gemma":0.000021131418,"threshold_uncertainty_score":0.99994266},"labels":[],"label_agreement":null},{"id":"W4396213413","doi":"10.1088/2752-5295/ad44ca","title":"The role of the basic state in the climate response to future Arctic sea ice loss","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Sea ice; Climatology; Arctic ice pack; Arctic; Climate change; The arctic; Arctic sea ice decline; State (computer science); Environmental science; Oceanography; Geology; Antarctic sea ice; Computer science","score_opus":0.0091996505294124,"score_gpt":0.2574671816981726,"score_spread":0.2482675311687602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396213413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98919356,0.0011181525,0.0000037225286,0.0070853275,0.00023371028,0.00052331365,0.00042380317,0.00001203304,0.001406396],"genre_scores_gemma":[0.99614733,0.0031472214,0.000030993106,0.00032971645,0.00009191349,0.000012250675,0.000022652235,0.0000102370395,0.00020770372],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9960647,0.0012701683,0.00028203827,0.00032611005,0.0011474213,0.0009095236],"domain_scores_gemma":[0.9971609,0.0021438,0.00003877721,0.0005339721,0.00001157036,0.00011095053],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006142097,0.0001533384,0.00012185768,0.000084601,0.00079741655,0.00021489816,0.00092498,0.000049505506,0.00043155963],"category_scores_gemma":[0.00014446405,0.00007232753,0.00009471943,0.00052614714,0.00061867235,0.00019717451,0.00022419712,0.0007763909,0.000773034],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023670937,0.00012115376,0.8695561,0.00016358463,0.00005012327,0.00019517375,0.0138718905,0.0020271104,0.0013152933,0.0012105702,0.00031293684,0.10880895],"study_design_scores_gemma":[0.00015255706,0.0002227715,0.9157879,0.00009890479,0.000010020947,0.00004235324,0.020514837,0.0065291775,0.000104369276,0.004100799,0.05229962,0.00013671895],"about_ca_topic_score_codex":0.00062120036,"about_ca_topic_score_gemma":0.0015310448,"teacher_disagreement_score":0.10867223,"about_ca_system_score_codex":0.0000612541,"about_ca_system_score_gemma":0.00007826886,"threshold_uncertainty_score":0.99360454},"labels":[],"label_agreement":null},{"id":"W4396951049","doi":"10.1088/2752-5295/ad3fdc","title":"Effectiveness of wind-constrained sea-ice momentum on formation of sea-ice distribution and upper halocline of Arctic Ocean in climate model","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Ministry of Education, Culture, Sports, Science and Technology","keywords":"Halocline; Sea ice; Oceanography; Arctic ice pack; Drift ice; Geology; Climatology; Arctic; Cryosphere; The arctic; Antarctic sea ice; Environmental science","score_opus":0.014788684104722755,"score_gpt":0.26682712049029284,"score_spread":0.2520384363855701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396951049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962196,0.00015786474,0.0002805942,0.000086078144,0.000049270322,0.0003833879,0.002451876,0.00000893414,0.00036244138],"genre_scores_gemma":[0.9972174,0.0014458625,0.00017844772,0.00000550707,0.000009333114,0.0000017655517,0.0011198644,0.0000071810673,0.000014597201],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99793446,0.0003004369,0.00041005138,0.00027945283,0.0006313463,0.00044424395],"domain_scores_gemma":[0.99886805,0.0007696414,0.00008675506,0.00016328765,0.000018841733,0.00009341232],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023893518,0.00014257981,0.00025668152,0.00017510584,0.000098858305,0.000019759013,0.00013111815,0.00007621392,0.00011569874],"category_scores_gemma":[0.00007239693,0.00012293798,0.00006143123,0.00022624197,0.00050970435,0.00036235698,0.00007318534,0.00030264186,0.000019521298],"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":[0.0016107764,0.00040584747,0.9371428,0.006156038,0.000061338265,0.000038182596,0.0010803589,0.034148965,0.007509332,0.0020792857,0.000011516317,0.0097555965],"study_design_scores_gemma":[0.0005977468,0.00046926405,0.3752559,0.00081673637,0.00002092716,0.000012601511,0.00083695585,0.61649054,0.00390395,0.0014577538,0.000012290916,0.00012534698],"about_ca_topic_score_codex":0.00031450015,"about_ca_topic_score_gemma":0.000046827437,"teacher_disagreement_score":0.58234155,"about_ca_system_score_codex":0.00007014481,"about_ca_system_score_gemma":0.00003664202,"threshold_uncertainty_score":0.50132656},"labels":[],"label_agreement":null},{"id":"W4399331877","doi":"10.1088/2752-5295/ad53f4","title":"The effects of climate and climate change on electric vehicle charging demand in Toronto, Canada","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Electric Vehicles and Infrastructure","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Climate change; Electric vehicle; Environmental science; Geography; Meteorology; Oceanography; Power (physics); Geology; Physics","score_opus":0.006349658445044415,"score_gpt":0.24349924894768,"score_spread":0.23714959050263557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399331877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9667508,0.030616615,6.5080883e-7,0.00009176342,0.00017304638,0.0004237952,0.000040473846,0.00004139516,0.0018614837],"genre_scores_gemma":[0.87851053,0.12126036,0.0000055986493,0.00002613871,0.00006840538,0.00007369695,0.000006100851,0.000040870404,0.000008306247],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.997887,0.000098726625,0.00023303185,0.0002573184,0.0004919316,0.0010319543],"domain_scores_gemma":[0.9991093,0.0005605282,0.000017731787,0.00019822035,0.0000035937617,0.00011061984],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068315724,0.00017508147,0.00017493615,0.000087105596,0.00022517574,0.0000734956,0.00016673178,0.000069045804,0.00004026759],"category_scores_gemma":[0.00002645685,0.00013442508,0.000031768865,0.00021957676,0.00006357651,0.00017511669,0.00013322735,0.00048922375,0.000012765928],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022448535,0.00010171614,0.041662715,0.004156244,0.0001337021,0.00049051165,0.0012625777,0.0003497854,0.28545284,0.008291072,0.00077393925,0.6571004],"study_design_scores_gemma":[0.0014329918,0.0011513265,0.65978473,0.0013981764,0.000035100158,0.000039852697,0.0008438404,0.23384677,0.090084225,0.00042966864,0.010140512,0.00081281713],"about_ca_topic_score_codex":0.009624089,"about_ca_topic_score_gemma":0.03931025,"teacher_disagreement_score":0.65628755,"about_ca_system_score_codex":0.0013042073,"about_ca_system_score_gemma":0.00001891607,"threshold_uncertainty_score":0.9969709},"labels":[],"label_agreement":null},{"id":"W4399332348","doi":"10.1088/2752-5295/ad53f7","title":"Human-induced climate change has decreased wheat production in northern Kazakhstan","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Environment and Climate Change Canada","keywords":"Climate change; Production (economics); Physical geography; Environmental science; Agronomy; Geography; Biology; Ecology; Economics","score_opus":0.14583687809465007,"score_gpt":0.338016653411633,"score_spread":0.19217977531698294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399332348","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99543047,0.00045929188,1.9158358e-8,0.0019584792,0.00014100745,0.0005371426,0.000070563976,0.00008658491,0.0013164703],"genre_scores_gemma":[0.9987818,0.00049090706,0.0000020547163,0.000031412204,0.00035269707,0.00012830345,0.00011152397,0.0000035853257,0.000097719436],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99750847,0.00024664655,0.00024882922,0.0006110054,0.0005818334,0.0008032123],"domain_scores_gemma":[0.99957496,0.00011024832,0.000019599684,0.00012566955,0.000008929622,0.0001605803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014225855,0.00015947485,0.00015551707,0.00004812099,0.0006363571,0.00022061159,0.00021872652,0.00010476421,0.00076541555],"category_scores_gemma":[0.00004310473,0.00007207613,0.00008710585,0.00032434825,0.00018562537,0.00028037868,0.00024090543,0.00043844205,0.00055016077],"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":[0.00009129245,0.00036958334,0.16569091,0.00005662668,0.0000066817506,0.00008769204,0.00048132142,7.256671e-7,0.7189911,0.000095371724,0.00005092376,0.11407776],"study_design_scores_gemma":[0.00011257658,0.00028648158,0.9842816,0.00011930975,0.000004087674,0.000005864926,0.0009566072,0.00007929968,0.01002964,0.00047171974,0.003453382,0.00019943176],"about_ca_topic_score_codex":0.00075396016,"about_ca_topic_score_gemma":0.018616468,"teacher_disagreement_score":0.8185907,"about_ca_system_score_codex":0.00027716384,"about_ca_system_score_gemma":0.0000053796116,"threshold_uncertainty_score":0.99929124},"labels":[],"label_agreement":null},{"id":"W4401559457","doi":"10.1088/2752-5295/ad6f3b","title":"Women are under-represented in adaptation policy research and are more likely to emphasise justice topics","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Poverty, Education, and Child Welfare","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"HORIZON EUROPE Framework Programme","keywords":"Adaptation (eye); Economic Justice; Political science; Criminology; Sociology; Psychology; Law; Neuroscience","score_opus":0.11227129612091538,"score_gpt":0.4401009233597698,"score_spread":0.32782962723885445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401559457","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9406763,0.0014364066,0.000011225346,0.051437926,0.00014884215,0.0005921523,0.000094134484,0.000044404784,0.0055586384],"genre_scores_gemma":[0.98349315,0.008561933,0.000047543723,0.00019411986,0.0005971369,0.00014547963,0.000021485112,0.000024950079,0.006914182],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.99597085,0.0006929063,0.00021068152,0.0005313795,0.0014681668,0.0011260405],"domain_scores_gemma":[0.9987154,0.00048275755,0.00002612183,0.00027457613,0.000043100208,0.0004580209],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030920415,0.000119659024,0.00014098901,0.00063635455,0.0011507777,0.0003615602,0.00033198664,0.00011355772,0.0002912673],"category_scores_gemma":[0.0005962543,0.00012273868,0.000027234244,0.001108614,0.0006107068,0.00037727898,0.00026887376,0.0005306253,0.0002735514],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00053575274,0.002109084,0.18185717,0.0009345509,0.00010061316,0.00031829107,0.62902015,0.00042524238,0.001240048,0.044183377,0.020435002,0.11884074],"study_design_scores_gemma":[0.00028099664,0.0001292639,0.43917277,0.00022120241,0.0000049279324,0.0000020652851,0.4150063,0.0002636504,0.00009876222,0.006928505,0.13769153,0.00019999144],"about_ca_topic_score_codex":0.0032893433,"about_ca_topic_score_gemma":0.004817873,"teacher_disagreement_score":0.2573156,"about_ca_system_score_codex":0.0019360274,"about_ca_system_score_gemma":0.00031483435,"threshold_uncertainty_score":0.88509685},"labels":[],"label_agreement":null},{"id":"W4403909622","doi":"10.1088/2752-5295/ad8d00","title":"Spatio-temporal trends in the frost regime reveal late frost exposure to white spruce (Picea glauca [Moench] Voss) persists in northeastern America","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministère des Ressources naturelles et des Forêts (Québec); Université du Québec à Montréal; Ontario Forest Research Institute; Ministère des Ressources naturelles et des Forêts; Université du Québec en Abitibi-Témiscamingue; Université du Québec à Chicoutimi; Université du Québec à Trois-Rivières; Natural Resources Canada","funders":"Mitacs","keywords":"Frost (temperature); White (mutation); Geography; Biology; Meteorology","score_opus":0.01783124900088208,"score_gpt":0.2880780986827258,"score_spread":0.27024684968184376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403909622","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886188,0.00032875012,0.000006338767,0.0032252152,0.00023177739,0.0009940546,0.00031387527,0.000056574052,0.00622462],"genre_scores_gemma":[0.9936693,0.0001142673,0.00016259571,0.00029222458,0.00011630552,0.00028164935,0.00023009155,0.00008152171,0.005052085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933762,0.0011901628,0.00063927355,0.0012209085,0.0020032364,0.0015702035],"domain_scores_gemma":[0.9982592,0.00037010515,0.000080789236,0.00094809,0.0000035165324,0.00033833997],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0032549365,0.00041994045,0.00040309352,0.00049441226,0.00029083257,0.00032573313,0.0010585054,0.00015732407,0.004425854],"category_scores_gemma":[0.000074133575,0.00034207013,0.00015292087,0.00167913,0.0005026551,0.0005944666,0.00095726433,0.0011132722,0.011587276],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002566811,0.00037260554,0.9476958,0.00007501071,0.00001708594,0.00092701236,0.009674,0.0006992817,0.008564277,0.0000048345364,0.00475704,0.026956381],"study_design_scores_gemma":[0.0006206093,0.00075759745,0.95723325,0.00024771105,0.000009143091,0.000035511523,0.0015671782,0.0057302583,0.00012497739,0.000035242585,0.03316957,0.00046895878],"about_ca_topic_score_codex":0.0037433559,"about_ca_topic_score_gemma":0.010821537,"teacher_disagreement_score":0.02841253,"about_ca_system_score_codex":0.0014872982,"about_ca_system_score_gemma":0.000019646382,"threshold_uncertainty_score":0.99990314},"labels":[],"label_agreement":null},{"id":"W4405438290","doi":"10.1088/2752-5295/ad9f90","title":"Climate change impacts on coastal ecosystems","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Coastal and Marine Management","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"Natural Sciences and Engineering Research Council of Canada; Atlantic Canada Opportunities Agency; Natural Resources Canada; Canada Foundation for Innovation","keywords":"Climate change; Ecosystem; Environmental science; Environmental resource management; Oceanography; Climatology; Ecology; Geology; Biology","score_opus":0.05020030761158812,"score_gpt":0.32477050705349036,"score_spread":0.27457019944190225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405438290","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65538085,0.00032241893,0.000012467228,0.0018485334,0.00068130414,0.0016034401,0.0005701839,0.00030628993,0.3392745],"genre_scores_gemma":[0.99408853,0.003073735,0.000033234104,0.00019758438,0.00022789204,0.00025584007,0.00009647922,0.00006451027,0.001962189],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957412,0.0001946487,0.00029643194,0.000804917,0.0014945364,0.0014682945],"domain_scores_gemma":[0.99893564,0.00015366069,0.00003302444,0.0004980128,0.0000017128837,0.00037792066],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0016833358,0.0002886597,0.00019489536,0.00017788398,0.00041676164,0.0002647661,0.0004006651,0.000073754956,0.010243299],"category_scores_gemma":[0.000023369528,0.00024288282,0.0001297176,0.00035265158,0.00033403578,0.0004756862,0.006483596,0.00050932425,0.040039644],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003120802,0.0009719366,0.022153886,0.00047323623,0.000061460094,0.0014212528,0.0011121748,0.00009896031,0.017982205,0.0051798047,0.025249848,0.92498314],"study_design_scores_gemma":[0.001198685,0.0024389785,0.15741457,0.0007572024,0.000045341552,0.00009487389,0.0014427835,0.010011651,0.0054481793,0.0038439368,0.8159469,0.0013569334],"about_ca_topic_score_codex":0.0003563234,"about_ca_topic_score_gemma":0.00053448224,"teacher_disagreement_score":0.92362624,"about_ca_system_score_codex":0.00062267197,"about_ca_system_score_gemma":0.000004847473,"threshold_uncertainty_score":0.9906615},"labels":[],"label_agreement":null},{"id":"W4405587194","doi":"10.1088/2752-5295/ada17c","title":"Evaluation of historical precipitation interannual variability in CMIP6 over the United States","year":2024,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Climate variability and models","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Climatology; Precipitation; Environmental science; Meteorology; Geography; Geology","score_opus":0.07887696930362179,"score_gpt":0.3769858845626726,"score_spread":0.2981089152590508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405587194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99611694,0.000110168556,0.0001176463,0.00054482283,0.0001429825,0.0006991661,0.00007261449,0.000020433014,0.0021752098],"genre_scores_gemma":[0.9991815,0.00038076818,0.00006749727,0.000024613575,0.000020115764,0.00013615024,0.00009523608,0.00001605434,0.00007807104],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99427503,0.002328118,0.00041503552,0.00046263,0.0020788354,0.00044033636],"domain_scores_gemma":[0.9980448,0.0014406815,0.000039630027,0.00038454813,0.0000142813315,0.00007604482],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.023693237,0.0001261426,0.00013557672,0.00015358033,0.00012860406,0.000047987876,0.0002819702,0.000080793136,0.0054503633],"category_scores_gemma":[0.0006365842,0.000094363924,0.00006485331,0.0005812588,0.00047304257,0.00032226762,0.00047933913,0.00044861427,0.00028262913],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00087472337,0.0055031334,0.4037737,0.0004808183,0.00018252205,0.000036651178,0.05427758,0.28535792,0.085070424,0.005915995,0.0066176583,0.1519089],"study_design_scores_gemma":[0.00050537114,0.00019546808,0.25282955,0.00007173799,0.000045771307,0.0000024395963,0.00090885785,0.71231043,0.0007509518,0.0222253,0.009971264,0.00018288736],"about_ca_topic_score_codex":0.0014637684,"about_ca_topic_score_gemma":0.00024627632,"teacher_disagreement_score":0.42695248,"about_ca_system_score_codex":0.0045596166,"about_ca_system_score_gemma":0.000028017852,"threshold_uncertainty_score":0.9992617},"labels":[],"label_agreement":null},{"id":"W4409096701","doi":"10.1088/2752-5295/adc828","title":"Role of ocean coupling in the weakening of the extratropical storm tracks from Arctic sea ice loss","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"U.S. Department of Energy","keywords":"Extratropical cyclone; Storm; Sea ice; Climatology; Arctic ice pack; Arctic; Oceanography; The arctic; Environmental science; Coupling (piping); Geology; Meteorology; Geography; Engineering","score_opus":0.013627328764495576,"score_gpt":0.2582486523024185,"score_spread":0.24462132353792293,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409096701","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977199,0.00036755094,0.0000147220435,0.00042561296,0.000052309886,0.00020880254,0.00015145347,0.0000030803685,0.0010565985],"genre_scores_gemma":[0.99929,0.00043390374,0.00010060942,0.00007307015,0.000025974037,0.0000010811544,0.00003903884,0.0000030891713,0.000033267395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826276,0.00020441343,0.00027350825,0.00020007325,0.0006726768,0.0003865776],"domain_scores_gemma":[0.99866617,0.00092714943,0.00006511096,0.00029076968,0.000009660829,0.000041138308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010497111,0.00009277028,0.0001511168,0.00005758332,0.00023820315,0.000021250904,0.0005497785,0.000056980643,0.0004857652],"category_scores_gemma":[0.00010593379,0.000056504166,0.00007086561,0.00022519095,0.00062600337,0.00009739194,0.000096186464,0.00052682665,0.000021204758],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007205074,0.00006329756,0.9941399,0.000027956869,0.000012392023,0.0000046068317,0.0009222191,0.0019593053,0.0005836007,0.0001496039,0.000007698532,0.0020573381],"study_design_scores_gemma":[0.00021373986,0.000056567016,0.9596307,0.000084830266,0.000011111192,0.0000018968457,0.010517937,0.027403776,0.0002536679,0.0016154738,0.000157937,0.00005234138],"about_ca_topic_score_codex":0.0028064018,"about_ca_topic_score_gemma":0.0013952609,"teacher_disagreement_score":0.034509208,"about_ca_system_score_codex":0.000029951596,"about_ca_system_score_gemma":0.000041714477,"threshold_uncertainty_score":0.5318788},"labels":[],"label_agreement":null},{"id":"W4409318339","doi":"10.1088/2752-5295/adcb61","title":"Urban heat in global cities and the role of nature-based solutions in mitigating future climate risks","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institut du Savoir Montfort; Université du Québec en Outaouais; Université du Québec à Montréal","funders":"Western Sydney University; Oregon State University","keywords":"Urban heat island; Urban climate; Environmental science; Climate change; Environmental planning; Natural resource economics; Climatology; Environmental resource management; Meteorology; Urbanization; Geography; Economics; Economic growth; Geology","score_opus":0.013441889719097157,"score_gpt":0.3006420567540173,"score_spread":0.28720016703492013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409318339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9833067,0.0023091158,0.0000036798574,0.00096693105,0.000052936284,0.0005814868,0.00016959746,0.0000117018,0.0125978505],"genre_scores_gemma":[0.9986158,0.0009157516,0.00014708031,0.00011642949,0.000022694845,0.000108151944,0.000030086876,0.000009219684,0.000034773184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747324,0.000512922,0.00035239768,0.00036603332,0.00056511554,0.0007302738],"domain_scores_gemma":[0.99926144,0.00034552612,0.00003879813,0.00028328455,0.000002891018,0.0000680493],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020156011,0.00014919716,0.00020804541,0.00011039168,0.0003123349,0.000038811748,0.00025806465,0.00015523708,0.00018799094],"category_scores_gemma":[0.00008859745,0.00011980097,0.000053508615,0.0004801515,0.0013959836,0.00017662725,0.0005980868,0.00064778456,0.000030196394],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017288586,0.00013495327,0.9867246,0.000028540806,0.000005087437,0.0000047865337,0.00042720442,0.00039441776,0.0055182483,0.0037065677,0.00013630526,0.0027463841],"study_design_scores_gemma":[0.0019621793,0.000050884064,0.97529066,0.00011951712,0.000007495819,0.0000018257513,0.0034801364,0.0091176545,0.0037483808,0.005106121,0.0009887608,0.00012639433],"about_ca_topic_score_codex":0.001003317,"about_ca_topic_score_gemma":0.0014991758,"teacher_disagreement_score":0.015309112,"about_ca_system_score_codex":0.00071159686,"about_ca_system_score_gemma":0.000020265354,"threshold_uncertainty_score":0.514356},"labels":[],"label_agreement":null},{"id":"W4411047161","doi":"10.1088/2752-5295/ade17d","title":"Effectiveness of street trees in reducing air temperature and outdoor heat exposure in Las Vegas","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"National Oceanic and Atmospheric Administration","keywords":"Las vegas; Environmental science; Air temperature; Meteorology; Geography; Archaeology","score_opus":0.010931060504890495,"score_gpt":0.2893654418877106,"score_spread":0.27843438138282006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411047161","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99732006,0.00035575186,7.808282e-7,0.00008783841,0.000033947817,0.00055882544,0.000033314875,0.000008141291,0.0016013338],"genre_scores_gemma":[0.9992599,0.0003365376,0.00006530213,0.000012790857,0.0000061417727,0.00007600588,0.000023349874,0.000012396871,0.00020757139],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786323,0.0005631915,0.0002576835,0.00043652722,0.00042254472,0.0004567993],"domain_scores_gemma":[0.9992969,0.00037195705,0.000019070205,0.0002422566,0.000001862275,0.000067968285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016747381,0.00013679826,0.00021456929,0.00019993536,0.00009021666,0.000014743055,0.00016067477,0.000112229056,0.00013886981],"category_scores_gemma":[0.00008542546,0.00012888273,0.00002876428,0.0003847669,0.000411925,0.0002267033,0.0004046756,0.00038326057,0.000029300047],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011010485,0.00014431917,0.65344316,0.00006142885,0.0000032486075,0.000018675586,0.00021803431,0.00070898974,0.3443875,0.000026708589,0.000027609229,0.000850181],"study_design_scores_gemma":[0.00091073825,0.00014736288,0.9192251,0.00033060595,0.0000025740073,0.0000016630414,0.0005043485,0.00014270932,0.078334495,0.00026510988,0.000043393975,0.0000919225],"about_ca_topic_score_codex":0.0011392006,"about_ca_topic_score_gemma":0.0013836825,"teacher_disagreement_score":0.26605302,"about_ca_system_score_codex":0.0005608199,"about_ca_system_score_gemma":0.0000126984305,"threshold_uncertainty_score":0.52556854},"labels":[],"label_agreement":null},{"id":"W4412025022","doi":"10.1088/2752-5295/adec0f","title":"Disentangling the roles of natural variability and climate change in Canada’s 2023 fire season","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Fire effects on ecosystems","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":true,"ca_institutions":"Université du Québec à Montréal; Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"HORIZON EUROPE Climate, Energy and Mobility","keywords":"Climate change; Natural (archaeology); Geography; Climatology; Environmental science; Physical geography; Ecology; Archaeology; Geology; Biology","score_opus":0.01265370623629263,"score_gpt":0.27724474601827587,"score_spread":0.26459103978198323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412025022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953873,0.0006626572,2.3601831e-7,0.0008524241,0.00015025474,0.0008769513,0.00017364306,0.000008261604,0.001888266],"genre_scores_gemma":[0.998615,0.0010517971,0.000017185484,0.000083788786,0.000019889527,0.00012673235,0.00001415953,0.00001425572,0.000057192086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99691314,0.0006730767,0.00032375188,0.00047435026,0.00081776443,0.0007979231],"domain_scores_gemma":[0.99859,0.00078858965,0.00006962222,0.0004456444,0.0000027068725,0.00010347107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002802779,0.00017177087,0.0002340825,0.00004839183,0.0002858516,0.000031245057,0.00040349035,0.000053929944,0.00037359953],"category_scores_gemma":[0.00016701761,0.00013180618,0.000039468225,0.0003195415,0.00045926936,0.00020817514,0.0012984605,0.00045244046,0.000043163127],"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":[0.000063243,0.00007176079,0.9707779,0.00009670091,0.0000074144637,0.0000174688,0.00029590106,0.00003804822,0.0018390768,0.00005734455,0.00012351146,0.026611619],"study_design_scores_gemma":[0.00032545946,0.000034441702,0.9514508,0.0001279344,0.000006257052,0.0000024365334,0.00090973446,0.045475293,0.00084449025,0.00006782624,0.0006301821,0.0001251323],"about_ca_topic_score_codex":0.26241133,"about_ca_topic_score_gemma":0.7789103,"teacher_disagreement_score":0.516499,"about_ca_system_score_codex":0.0018185189,"about_ca_system_score_gemma":0.000046857072,"threshold_uncertainty_score":0.74250036},"labels":[],"label_agreement":null},{"id":"W4412816142","doi":"10.1088/2752-5295/adf504","title":"Analysing the development of the climate, land, energy, and water systems (CLEWs) modelling framework: a state-of-the-art review","year":2025,"lang":"en","type":"review","venue":"Environmental Research Climate","topic":"Water-Energy-Food Nexus Studies","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":"Simon Fraser University","funders":"Climate Compatible Growth project","keywords":"State (computer science); Environmental resource management; Environmental planning; Environmental science; Computer science","score_opus":0.06867196356673975,"score_gpt":0.3353548710799283,"score_spread":0.2666829075131885,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412816142","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00033335332,0.99368155,0.00015053968,0.00013846191,0.00017000151,0.0013191083,0.00025024018,0.000012682591,0.0039440864],"genre_scores_gemma":[0.005455983,0.99259526,0.00022396982,0.000052177333,0.000023263226,0.00039276006,0.000043510816,0.000060621802,0.001152469],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9930239,0.0016174071,0.0014713197,0.0008076978,0.001874122,0.0012055568],"domain_scores_gemma":[0.99735695,0.0006804909,0.0004949975,0.0013375083,0.000012607317,0.00011746256],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003584441,0.0005734107,0.0014640674,0.00011308253,0.0012399863,0.0000678567,0.0015645195,0.00018286536,0.00015151736],"category_scores_gemma":[0.000068235466,0.00025002603,0.00046829428,0.00062712,0.0013225754,0.00012850882,0.007532498,0.0007390317,0.000079511556],"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":[0.00008724972,0.00084527826,0.0029847804,0.1300906,0.0019290396,0.000023951017,0.0024076775,0.005505858,0.00033960128,0.0015476305,0.0022685274,0.85196984],"study_design_scores_gemma":[0.00018615654,0.000056859015,0.00015400075,0.07860129,0.0007361168,0.000019639454,0.00020534574,0.0007232179,0.0006525858,0.0012836258,0.9167143,0.0006668345],"about_ca_topic_score_codex":0.00013744281,"about_ca_topic_score_gemma":0.00018007339,"teacher_disagreement_score":0.9144458,"about_ca_system_score_codex":0.0006783001,"about_ca_system_score_gemma":0.000059953334,"threshold_uncertainty_score":0.9999952},"labels":[],"label_agreement":null},{"id":"W4414362974","doi":"10.1088/2752-5295/ae095c","title":"Different urban heat mitigation strategies are optimal day versus night and for distinct synoptic weather types","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Urban Heat Island Mitigation","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada; University of Guelph","funders":"National Research Council Canada","keywords":"Daytime; Urban heat island; Impervious surface; Albedo (alchemy); Vegetation (pathology); Mesoscale meteorology; Weather Research and Forecasting Model; Radiative cooling; Downwelling; Longwave","score_opus":0.025292130305813648,"score_gpt":0.31128201799944993,"score_spread":0.2859898876936363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414362974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99190307,0.00029571215,0.00033173722,0.00035173076,0.00013781457,0.0007632227,0.00011507444,0.00003491343,0.0060667093],"genre_scores_gemma":[0.99730235,0.00023494371,0.0002809462,0.000023507015,0.00004737902,0.000217593,0.0001024649,0.000023776838,0.0017670623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99803853,0.00016432973,0.00021747527,0.0005057826,0.000479463,0.0005944046],"domain_scores_gemma":[0.9991178,0.00043889377,0.0000335404,0.0002702085,0.000004403345,0.00013516178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005138193,0.00019835022,0.00017962224,0.00007609067,0.00047809392,0.00013945726,0.0001857395,0.00007819252,0.0007645169],"category_scores_gemma":[0.00007605442,0.00016972971,0.00005582733,0.000114687435,0.0005861257,0.0003141722,0.00034574184,0.00020951011,0.0001966816],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001475783,0.00089574285,0.8296958,0.00028810202,0.00017467166,0.000027890783,0.0019606599,0.0007280018,0.13843459,0.003985212,0.010415515,0.0119180335],"study_design_scores_gemma":[0.0023607882,0.00053659285,0.9633495,0.0001216697,0.000063117084,0.0000023272555,0.002179765,0.0062293806,0.0153083755,0.0016224637,0.007832272,0.00039370105],"about_ca_topic_score_codex":0.000038279453,"about_ca_topic_score_gemma":0.00012327911,"teacher_disagreement_score":0.13365375,"about_ca_system_score_codex":0.0005249467,"about_ca_system_score_gemma":0.000010866393,"threshold_uncertainty_score":0.8370924},"labels":[],"label_agreement":null},{"id":"W4414798511","doi":"10.1088/2752-5295/ae095b","title":"Focus on Arctic amplification","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Arctic and Antarctic ice dynamics","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Arctic; Climate change; Global warming; Arctic sea ice decline; The arctic; Sea ice; Arctic geoengineering; Arctic ice pack; Ecosystem","score_opus":0.02538022180054103,"score_gpt":0.2936674763619756,"score_spread":0.26828725456143454,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414798511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9145545,0.00016930977,0.0002120995,0.002331659,0.0001988287,0.0003566994,0.000089416026,0.00003933607,0.08204816],"genre_scores_gemma":[0.9974088,0.00076533604,0.00020161216,0.00024419767,0.000037718637,0.0000044499748,0.00009927547,0.0000035333715,0.0012350868],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838716,0.00014751418,0.00015364133,0.00029809997,0.00049553486,0.00051802915],"domain_scores_gemma":[0.99918324,0.00041073223,0.000025269495,0.00027432828,0.00000681657,0.00009961997],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007684096,0.00009830069,0.00009221046,0.00014446444,0.00047690416,0.00005451375,0.00023372707,0.000052281535,0.0025757954],"category_scores_gemma":[0.00007558985,0.0000837071,0.00004186614,0.00018827541,0.00027618912,0.00010491438,0.000044251254,0.00033984627,0.0034836691],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012178782,0.00012300022,0.843488,0.00004816783,0.000020824356,0.000013581877,0.00012395534,0.00032536263,0.00024072269,0.006487029,0.00028025205,0.14872731],"study_design_scores_gemma":[0.00023113698,0.00016445165,0.97632456,0.000053360673,0.0000057665825,0.000002706414,0.00059089734,0.0037383537,0.00016568326,0.014740799,0.0038767129,0.00010554765],"about_ca_topic_score_codex":0.00027408873,"about_ca_topic_score_gemma":0.000081206,"teacher_disagreement_score":0.14862177,"about_ca_system_score_codex":0.000054550346,"about_ca_system_score_gemma":0.000023488245,"threshold_uncertainty_score":0.99833596},"labels":[],"label_agreement":null},{"id":"W4414904529","doi":"10.1088/2752-5295/ae1051","title":"Growth synchrony in white spruce across Canada and Alaska: climate or distance?","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Tree-ring climate responses","field":"Earth and Planetary Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Boreal; Taiga; Spatial ecology; Population growth; Climate change; Population; White (mutation); Common spatial pattern","score_opus":0.016595907395226563,"score_gpt":0.2875872640676962,"score_spread":0.27099135667246965,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414904529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99284554,0.0010878432,0.0000029254002,0.00055360975,0.00014655078,0.0003491376,0.0014147318,0.000028527373,0.0035711096],"genre_scores_gemma":[0.9924819,0.0063634836,0.00013975111,0.00011381905,0.000024730609,0.000011779728,0.00010265959,0.000011338094,0.00075056154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962027,0.00034972216,0.00038150852,0.00063567853,0.000803733,0.0016266601],"domain_scores_gemma":[0.99836344,0.00097020686,0.000054080683,0.00034291204,0.000009770909,0.00025962284],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015043077,0.00024464302,0.00029490638,0.00012333944,0.00057498383,0.0001742768,0.00039725378,0.0000894349,0.0013693832],"category_scores_gemma":[0.00022203912,0.000202702,0.000033742243,0.00046451305,0.00054790603,0.00029547993,0.00029313462,0.00049460743,0.00017323189],"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":[0.000630344,0.000037837493,0.98492426,0.00015672694,0.000011906041,0.00028046322,0.00015536022,0.00008911616,0.00009361179,0.000026503138,0.00021152894,0.013382372],"study_design_scores_gemma":[0.0006172433,0.00010204854,0.9928451,0.00013844545,0.0000041278004,0.000016324668,0.0012593142,0.00074506097,0.00024234939,0.000078616424,0.0037426702,0.0002086916],"about_ca_topic_score_codex":0.14716247,"about_ca_topic_score_gemma":0.92831546,"teacher_disagreement_score":0.781153,"about_ca_system_score_codex":0.0002239884,"about_ca_system_score_gemma":0.00016933073,"threshold_uncertainty_score":0.9995435},"labels":[],"label_agreement":null},{"id":"W4414904574","doi":"10.1088/2752-5295/ae1052","title":"Attribution of extreme winds during 2022 post-tropical cyclone Fiona in Atlantic Canada","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Tropical and Extratropical Cyclones Research","field":"Earth and Planetary Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada","funders":"Environment and Climate Change Canada","keywords":"Atlantic hurricane; Storm; Wind speed; Tropical cyclone; Landfall; Maximum sustained wind; Cyclone (programming language); Tropical cyclone scales","score_opus":0.019324348704582998,"score_gpt":0.2586680071993485,"score_spread":0.23934365849476552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414904574","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973445,0.0005744592,0.000006833062,0.00090094336,0.000078837285,0.00024007399,0.00022463127,0.000008213884,0.0006215156],"genre_scores_gemma":[0.9986166,0.0008068063,0.00003670684,0.00003528277,0.000037778966,0.0000052463047,0.00021042535,0.00000363544,0.00024754275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693274,0.0003155721,0.0003620309,0.00036985442,0.001116201,0.0009036144],"domain_scores_gemma":[0.99920106,0.0003149203,0.000030103027,0.00023555788,0.00001772259,0.0002006463],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030310467,0.00012983194,0.00022804488,0.00020602018,0.00024253137,0.000027852579,0.00034454977,0.00008672857,0.0039120894],"category_scores_gemma":[0.00011656312,0.000110596,0.000055756977,0.000462953,0.00031728504,0.00012357699,0.0001569316,0.00062006165,0.00011513071],"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":[0.0003332907,0.00008511427,0.98789173,0.00007779274,0.000009830803,0.00010691615,0.000014501896,0.000104081926,0.0071097496,0.00021356274,0.000046984947,0.0040064193],"study_design_scores_gemma":[0.0005082346,0.00012960791,0.99609417,0.000042890202,0.0000024608298,0.0000041586586,0.00015538515,0.0005275141,0.0010022074,0.00019892992,0.0012364867,0.00009795386],"about_ca_topic_score_codex":0.3997817,"about_ca_topic_score_gemma":0.74871457,"teacher_disagreement_score":0.34893283,"about_ca_system_score_codex":0.00016965174,"about_ca_system_score_gemma":0.00017238421,"threshold_uncertainty_score":0.9969985},"labels":[],"label_agreement":null},{"id":"W4415889796","doi":"10.1088/2752-5295/ae1b2d","title":"Is climate change relevant? Mainstreaming the dialogue on ecosystems and their services for adaptation and mitigation in Amman, Jordan: a survey of a societal segment","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Sustainability and Climate Change Governance","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":"University of Waterloo","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Climate change; Political economy of climate change; Ecosystem services; Perception; Urban climate; Mainstreaming; Climate risk; Adaptation (eye); Thematic analysis","score_opus":0.06076016046422123,"score_gpt":0.3146582575657417,"score_spread":0.25389809710152045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415889796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962628,0.00043378698,0.0000063185353,0.00092943304,0.00003887856,0.0013911186,0.00072565844,0.000006910835,0.00020511336],"genre_scores_gemma":[0.99413157,0.0050870385,0.00003890067,0.00017834523,0.000014080161,0.00041133992,0.00009257713,0.0000137741845,0.000032381675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979685,0.00037152495,0.00030214738,0.00045420564,0.00037235869,0.0005312616],"domain_scores_gemma":[0.9987737,0.00079573895,0.000118882024,0.0002450353,0.000008634071,0.000057993693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030022007,0.00016557096,0.00020257528,0.00006285582,0.0003634419,0.000052482806,0.00018185038,0.00008110785,0.000042914126],"category_scores_gemma":[0.00007141777,0.00012542211,0.00004125734,0.00022610283,0.00046436407,0.00024230294,0.00046775313,0.00017854825,0.000009356958],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0008694845,0.00054025406,0.87411326,0.0015295439,0.00004073517,0.0000048687166,0.06159417,0.00013501434,0.007124448,0.00047807957,0.000090323054,0.053479843],"study_design_scores_gemma":[0.00085797947,0.00027257318,0.93795574,0.00026821494,0.00000708551,0.0000013591132,0.037421074,0.019449191,0.002173263,0.0010658,0.00038352725,0.00014418969],"about_ca_topic_score_codex":0.0016486195,"about_ca_topic_score_gemma":0.007839316,"teacher_disagreement_score":0.063842505,"about_ca_system_score_codex":0.00045825733,"about_ca_system_score_gemma":0.0000078836965,"threshold_uncertainty_score":0.51145655},"labels":[],"label_agreement":null},{"id":"W4416712526","doi":"10.1088/2752-5295/ae249a","title":"Climate-driven emergence of fire danger in South America under global warming","year":2025,"lang":"en","type":"article","venue":"Environmental Research Climate","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Downscaling; Global warming; Precipitation; Climate change; Climate model; Natural hazard; Percentile; Natural disaster","score_opus":0.01903590393481918,"score_gpt":0.3183350068110302,"score_spread":0.29929910287621103,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416712526","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870142,0.00017305627,0.000044626024,0.00017660996,0.00015844153,0.0007407898,0.00016658517,0.000032481847,0.011493215],"genre_scores_gemma":[0.9987653,0.0004334336,0.00037340145,0.00008378773,0.000015921476,0.00011224395,0.000023418868,0.000023816965,0.00016871328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959659,0.00047251838,0.0005374262,0.00070583733,0.0011009718,0.0012173256],"domain_scores_gemma":[0.9988851,0.00021490226,0.00012165813,0.00060816715,0.000003980251,0.00016619051],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011854507,0.00024878545,0.00034690247,0.00010868431,0.00023674176,0.000030325355,0.0006636709,0.00012318829,0.0030453745],"category_scores_gemma":[0.0000994674,0.00024274092,0.00010307412,0.00090935675,0.00078251364,0.00026253395,0.0016569276,0.0003857662,0.0020461355],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011243253,0.00048002758,0.93489045,0.00011669378,0.000021092583,0.000042862517,0.00075422094,0.0022597176,0.030551463,0.00008070892,0.0006819142,0.030008422],"study_design_scores_gemma":[0.001118136,0.00035491007,0.94399434,0.0003021223,0.000017946655,0.000006412622,0.0043848217,0.041125104,0.004640739,0.00026482687,0.0032798199,0.0005108308],"about_ca_topic_score_codex":0.0006505039,"about_ca_topic_score_gemma":0.00024976738,"teacher_disagreement_score":0.038865384,"about_ca_system_score_codex":0.00091150386,"about_ca_system_score_gemma":0.000015915746,"threshold_uncertainty_score":0.9987309},"labels":[],"label_agreement":null}]}