{"meta":{"query_hash":"d6398a58926a","filters":{"venue":"International Journal of Environment and Climate Change"},"cohort_total":21,"direct_labels_cover":0,"predictions_cover":21,"exported":21,"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/d6398a58926a","api":"https://metacan.xera.ac/api/v1/cohort?venue=International+Journal+of+Environment+and+Climate+Change"},"results":[{"id":"W2939204021","doi":"10.9734/ijecc/2019/v9i130095","title":"Explaining the Non-significant Changes in Ice-off Date over Six Decades at Lake of Bays and Lake Nipissing, South-Central Ontario","year":2019,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of the Environment, Conservation and Parks","funders":"","keywords":"Snow; Snowpack; Physical geography; Climatology; Environmental science; Little ice age; Geography; Geology; Meteorology; Glacier","score_opus":0.03067221224454875,"score_gpt":0.23027070238846967,"score_spread":0.19959849014392092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939204021","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99883395,0.00007573015,0.000113064125,0.000049459533,0.0000015240115,0.0000032594266,0.00039258978,0.000003878998,0.0005264855],"genre_scores_gemma":[0.9994186,0.000033904093,0.000048928345,0.0000028514826,6.5639597e-7,0.0000016920305,0.000203942,0.0000013294294,0.00028807373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986947,0.00000953853,0.000010510531,0.00003867108,0.000022563312,0.00004930001],"domain_scores_gemma":[0.99952316,0.000073747025,0.00012457617,0.000024821413,0.00016398139,0.00008964708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027390834,0.00014986955,0.00016420345,0.0004933997,0.00067006465,0.0004666236,0.00037752918,0.00016995583,0.00084493257],"category_scores_gemma":[0.0010749691,0.00011773897,0.00025782935,0.00065172394,0.00035446067,0.00025874545,0.00043682693,0.00017428987,0.000079970705],"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":[0.000028359842,0.0000042185034,0.99481684,0.00001639077,0.000025868047,0.00007985759,0.0005884787,0.00038195564,0.0010852074,0.00006666302,0.00009648919,0.002809635],"study_design_scores_gemma":[8.574879e-7,0.0000030110348,0.9984511,0.0000024729695,0.000010412206,0.000013377572,0.00042130146,0.0007229162,0.000093163355,0.000021686006,0.00025781483,0.0000018444164],"about_ca_topic_score_codex":0.8434266,"about_ca_topic_score_gemma":0.9487434,"teacher_disagreement_score":0.15657341,"about_ca_system_score_codex":0.0042431545,"about_ca_system_score_gemma":0.0034893437,"threshold_uncertainty_score":0.314991},"labels":[],"label_agreement":null},{"id":"W2950830260","doi":"10.9734/ijecc/2019/v9i530117","title":"Application of Regional Climate Models for Updating Intensity-duration-frequency Curves under Climate Change","year":2019,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Climate variability and models","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Downscaling; Climatology; Climate model; Climate change; Environmental science; General Circulation Model; Scale (ratio); Duration (music); Meteorology; Representative Concentration Pathways; Precipitation; Geography; Cartography; Geology","score_opus":0.05940260754002534,"score_gpt":0.27748350537148436,"score_spread":0.218080897831459,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950830260","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.55258703,0.0021932416,0.40288445,0.0006900114,0.00021584728,0.0003093266,0.019931857,0.0035004998,0.017687708],"genre_scores_gemma":[0.90048754,0.00058555,0.09154894,0.00005665481,0.000035325087,0.00018036088,0.0054617636,0.00040015765,0.001243723],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995233,0.00017964805,0.00002925425,0.00012047125,0.000115099814,0.00003216121],"domain_scores_gemma":[0.99899095,0.00038803884,0.000122004065,0.00019436973,0.0002763755,0.000028274197],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016267969,0.00043355356,0.00041167007,0.0011186341,0.00025395583,0.000780819,0.0010258182,0.00049211737,0.0014388353],"category_scores_gemma":[0.0050707906,0.00028004005,0.0009373123,0.0024251414,0.00013288789,0.00079366064,0.00036412338,0.0006352884,0.00023340476],"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":[0.00002726687,0.000023310447,0.02249314,0.000053729374,0.00021277898,0.000024091813,0.00005710409,0.94213873,0.00056664733,0.002727047,0.0014511865,0.030225076],"study_design_scores_gemma":[0.000017762684,0.000011445528,0.013686118,0.000014602786,0.00007071288,0.000014114132,0.000032498574,0.97833055,0.00071588805,0.0014661883,0.005611763,0.00002832798],"about_ca_topic_score_codex":0.15832937,"about_ca_topic_score_gemma":0.1034728,"teacher_disagreement_score":0.15832937,"about_ca_system_score_codex":0.0014399964,"about_ca_system_score_gemma":0.0018471578,"threshold_uncertainty_score":0.31481558},"labels":[],"label_agreement":null},{"id":"W4280536964","doi":"10.9734/ijecc/2022/v12i930803","title":"On the Natural Causes of Global Warming","year":2022,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Earthquake Detection and Analysis","field":"Earth and Planetary Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Global warming; Proxy (statistics); Natural (archaeology); Environmental science; Climatology; Climate change; Earth science; Atmospheric sciences; Physical geography; Geology; Geography; Computer science; Oceanography","score_opus":0.022559947776981493,"score_gpt":0.22735947921859426,"score_spread":0.20479953144161275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280536964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58053106,0.048771497,0.01816909,0.08349222,0.002140169,0.0001899219,0.0043685394,0.00023887427,0.26209867],"genre_scores_gemma":[0.9775703,0.014052175,0.0020957456,0.0014419078,0.00059653947,0.000055324384,0.0005297976,0.000022931878,0.0036352826],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9996277,0.00018333139,0.000019803472,0.00005779676,0.0000684176,0.00004299336],"domain_scores_gemma":[0.9982969,0.0008706622,0.0003022376,0.00010994404,0.00035847918,0.00006172915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011881212,0.0002443395,0.0001120319,0.0011806643,0.0005972719,0.0012334472,0.00031252584,0.00041815737,0.00474388],"category_scores_gemma":[0.0033402261,0.00010051137,0.00021132668,0.0010493501,0.0018755266,0.0010436539,0.00089883944,0.0006962638,0.00028760495],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014094684,0.00014083975,0.37413874,0.0014496044,0.00020546188,0.0011756917,0.0031112041,0.008946623,0.002011382,0.37993264,0.039993204,0.1887537],"study_design_scores_gemma":[0.00002235777,0.000095855816,0.5405592,0.0010277774,0.00011224864,0.00079324504,0.009194839,0.0069786627,0.0019217,0.24401556,0.19521278,0.000065769185],"about_ca_topic_score_codex":0.006487857,"about_ca_topic_score_gemma":0.011545496,"teacher_disagreement_score":0.006487857,"about_ca_system_score_codex":0.0010922775,"about_ca_system_score_gemma":0.001201291,"threshold_uncertainty_score":0.015869856},"labels":[],"label_agreement":null},{"id":"W4286699366","doi":"10.9734/ijecc/2022/v12i1130999","title":"Influence of Nutrient Management Practices on Growth, Flowering and Yield Attributes of Cucumber (Cucumis sativus)","year":2022,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Plant Physiology and Cultivation Studies","field":"Agricultural and Biological 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":"Nutrition International","funders":"","keywords":"Nutrient management; Cucumis; Biofertilizer; Vermicompost; Azotobacter; Vine; Nutrient; Horticulture; Fertilizer; Field experiment; Biology; Mathematics; Veterinary medicine; Agronomy; Medicine","score_opus":0.05005028575971951,"score_gpt":0.24853001853191795,"score_spread":0.19847973277219844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4286699366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991278,0.00018703652,0.00010239504,0.000026582933,0.000011632488,0.000019165858,0.00021535494,0.000008469703,0.00030148865],"genre_scores_gemma":[0.9968581,0.0001928275,0.0008942413,0.00006832975,0.000006563751,0.00005654442,0.0005202442,0.000010575082,0.0013926546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9996828,0.000057962836,0.000030711784,0.00010554624,0.0000724465,0.00005058189],"domain_scores_gemma":[0.9993832,0.00012817411,0.00016489899,0.000029175044,0.00012731813,0.00016718982],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033696083,0.00046364943,0.0004146156,0.00033847342,0.0005316817,0.0004902481,0.00042329018,0.00026941774,0.0006815601],"category_scores_gemma":[0.0003752289,0.00019442679,0.00028519065,0.00035514883,0.00029361545,0.00038411756,0.000325184,0.0005592137,0.00011865846],"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":[0.0018281918,0.0010043692,0.031226194,0.00025919345,0.0000821906,0.0003058,0.00036101358,0.00081600656,0.9568181,0.000045600955,0.00019180602,0.007061427],"study_design_scores_gemma":[0.00007896845,0.015054504,0.7449297,0.000035870573,0.00017179035,0.00023905405,0.0012437013,0.003424554,0.23134327,0.00011156002,0.0032573058,0.00010983609],"about_ca_topic_score_codex":0.01830411,"about_ca_topic_score_gemma":0.042835772,"teacher_disagreement_score":0.01830411,"about_ca_system_score_codex":0.0015856465,"about_ca_system_score_gemma":0.0006070915,"threshold_uncertainty_score":0.036395133},"labels":[],"label_agreement":null},{"id":"W4290546749","doi":"10.9734/ijecc/2022/v12i1131089","title":"Implementation of Road Safety Audit to Highlight the Deformities in the Design and Environmental Safety Features: A Case Study on National Highway-326","year":2022,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Traffic and Road Safety","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Audit; Transport engineering; Business; Engineering; Accounting","score_opus":0.023189585716690837,"score_gpt":0.2554426908747771,"score_spread":0.23225310515808628,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290546749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969951,0.0000629476,0.00045057316,0.0003289034,0.0000080269965,0.000057952228,0.000057770794,0.0000076258725,0.0020309873],"genre_scores_gemma":[0.9950205,0.00023627664,0.0009959659,0.000079874466,0.000007895206,0.000020786047,0.000048714795,0.000005535342,0.0035844021],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987943,0.00045493478,0.00007735739,0.000118696524,0.00031373245,0.00024087713],"domain_scores_gemma":[0.9981475,0.0004913648,0.00044868508,0.00013213899,0.00046058095,0.00031975668],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009327537,0.00028532854,0.00019806142,0.0009657273,0.002195698,0.000719048,0.0009665811,0.0014523269,0.0017137595],"category_scores_gemma":[0.0026975048,0.00024441123,0.00033506987,0.0008164848,0.0006675015,0.0006443036,0.0007568788,0.0009694157,0.00021145387],"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":[0.00045450448,0.0060128486,0.46318364,0.0006700966,0.00009478682,0.30147988,0.105609685,0.007554049,0.0102010155,0.0033491352,0.007165825,0.09422447],"study_design_scores_gemma":[0.00004021931,0.003800603,0.5381416,0.0003317312,0.00010217879,0.06961875,0.33246347,0.0093923025,0.011124805,0.0011865547,0.03365684,0.00014091961],"about_ca_topic_score_codex":0.025188869,"about_ca_topic_score_gemma":0.07557546,"teacher_disagreement_score":0.025188869,"about_ca_system_score_codex":0.0023572934,"about_ca_system_score_gemma":0.0017590155,"threshold_uncertainty_score":0.05008447},"labels":[],"label_agreement":null},{"id":"W4318338001","doi":"10.9734/ijecc/2023/v13i11588","title":"Environmental and Health Effects of SONICHAR'S Coal Mining Activities in Tchirozérine (Niger)","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Mining and Resource Management","field":"Engineering","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":"","keywords":"Coal mining; Desertification; Context (archaeology); Environmental protection; Directive; Environmental science; Environmental impact assessment; Biodiversity; Coal; Population; Environmental resource management; Environmental planning; Geography; Engineering; Waste management; Environmental health; Ecology","score_opus":0.019400016596325977,"score_gpt":0.23720341457254435,"score_spread":0.21780339797621837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318338001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999171,0.0000662094,0.000018713392,0.00002356473,0.0000018409154,0.000007080065,0.000034675257,5.4074775e-7,0.0006764472],"genre_scores_gemma":[0.9988557,0.00020588434,0.000083732935,0.000029538982,0.0000014608047,0.00000633321,0.00004081203,2.9168123e-7,0.0007762243],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992514,0.000022347947,0.0000033018218,0.000016238333,0.000011676429,0.000021257049],"domain_scores_gemma":[0.9999362,0.000011016065,0.00001725086,0.0000025450165,0.000014380353,0.000018560922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001059393,0.00018955233,0.00014299768,0.00029165577,0.00068314024,0.00038916158,0.00011743478,0.00028979397,0.0007327502],"category_scores_gemma":[0.00008881027,0.00010753685,0.000108345055,0.00035431268,0.00037986785,0.00009710605,0.00037894503,0.00021349634,0.00008268035],"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":[0.001057057,0.0011581897,0.8896345,0.0002327278,0.00007082225,0.0073396442,0.011459351,0.00047493566,0.051811412,0.0004874824,0.00039979062,0.035874173],"study_design_scores_gemma":[0.000012509316,0.001498827,0.9754832,0.00003757832,0.000038786788,0.0009617952,0.017698823,0.0002254282,0.0025034216,0.00012900196,0.0013956602,0.000015030588],"about_ca_topic_score_codex":0.04476081,"about_ca_topic_score_gemma":0.14872597,"teacher_disagreement_score":0.04476081,"about_ca_system_score_codex":0.00080243184,"about_ca_system_score_gemma":0.00073234073,"threshold_uncertainty_score":0.08900058},"labels":[],"label_agreement":null},{"id":"W4362554941","doi":"10.9734/ijecc/2023/v13i51780","title":"COP27 Making a Case for a Net Zero-Carbon Emissions Future by Implementing Technological Solutions and Mindset Transformation","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island; Memorial University of Newfoundland","funders":"","keywords":"Mindset; Pace; Climate change; Greenhouse gas; Global warming; Climate change mitigation; Political science; Business; Natural resource economics; Environmental resource management; Environmental science; Economics; Geography; Computer science; Ecology","score_opus":0.04246805599768801,"score_gpt":0.2860888070422297,"score_spread":0.2436207510445417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362554941","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.023999028,0.004499019,0.023048602,0.47501364,0.0034877541,0.0005643237,0.00022258927,0.00036771598,0.46879727],"genre_scores_gemma":[0.652589,0.00806108,0.08548202,0.10836835,0.0008847527,0.0010545856,0.0004602556,0.00024036888,0.14285949],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99615854,0.0014319988,0.00010402619,0.0002684876,0.0011047361,0.0009322189],"domain_scores_gemma":[0.9971625,0.0003494017,0.00018391275,0.00018777813,0.0009667129,0.00114973],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006124279,0.0005545526,0.00026077006,0.0011583345,0.0044955877,0.009264717,0.0012087765,0.0055780867,0.008574375],"category_scores_gemma":[0.005160333,0.00019180495,0.00075322366,0.0008051712,0.00848869,0.004522024,0.007678548,0.0061786734,0.0016594313],"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":[0.000043920147,0.00025908058,0.0019163154,0.00051779975,0.000025059242,0.00036487431,0.008546236,0.0013465909,0.0015229436,0.79464686,0.11346746,0.07734279],"study_design_scores_gemma":[0.000031561627,0.0001038844,0.0038397023,0.0007495271,0.00002565663,0.00015011115,0.015863203,0.00086563523,0.0014517346,0.17107356,0.80580086,0.00004458142],"about_ca_topic_score_codex":0.018806819,"about_ca_topic_score_gemma":0.024205888,"teacher_disagreement_score":0.018806819,"about_ca_system_score_codex":0.008739686,"about_ca_system_score_gemma":0.040120214,"threshold_uncertainty_score":0.06341112},"labels":[],"label_agreement":null},{"id":"W4383554923","doi":"10.9734/ijecc/2023/v13i92275","title":"Assessment of Diurnal Variability and Region-Specific Connection across Intensity, Depth & Duration of Rainfall","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Hydrology and Drought Analysis","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":"","keywords":"Storm; Environmental science; Duration (music); Period (music); Climatology; Quarter (Canadian coin); Intensity (physics); Arid; Interval (graph theory); Physical geography; Hydrology (agriculture); Meteorology; Geography; Geology; Mathematics","score_opus":0.04582833775012937,"score_gpt":0.3059143608205439,"score_spread":0.2600860230704145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383554923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970892,0.000119212855,0.00096791895,0.0000146758475,0.0000030693527,0.000006513871,0.0007238625,0.0000337265,0.0010417856],"genre_scores_gemma":[0.99879044,0.000044133143,0.00029288963,0.0000036474312,0.0000041292005,0.000004732224,0.00058450777,0.0000038420717,0.00027165937],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998913,0.000014503963,0.0000090624235,0.000039452978,0.000020365016,0.000025268551],"domain_scores_gemma":[0.9995278,0.00013349975,0.00018233234,0.000041572162,0.00007783891,0.00003707706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019098098,0.0001102174,0.00013623534,0.0007071954,0.000097969925,0.00029555784,0.00012212392,0.00014304256,0.00077766797],"category_scores_gemma":[0.0005761503,0.000057698293,0.00014809835,0.0007644359,0.00011450107,0.00015150958,0.00018324546,0.000096946635,0.00017930678],"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":[0.00014194178,0.00003425991,0.94318485,0.00008075337,0.000082614,0.00021343761,0.0007127439,0.0030388632,0.022210134,0.00020208483,0.0004186101,0.029679712],"study_design_scores_gemma":[4.8822005e-7,0.000036740104,0.9973093,0.0000025351856,0.000008713626,0.00009469982,0.00019010223,0.0013986555,0.0005431258,0.000025673544,0.00038725356,0.0000026994119],"about_ca_topic_score_codex":0.0027255,"about_ca_topic_score_gemma":0.004864243,"teacher_disagreement_score":0.0027255,"about_ca_system_score_codex":0.00009997397,"about_ca_system_score_gemma":0.00007570503,"threshold_uncertainty_score":0.0054192543},"labels":[],"label_agreement":null},{"id":"W4385426933","doi":"10.9734/ijecc/2023/v13i92480","title":"Household Food Diversity and Food Habits in Changing Climate of Western Bhutan","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":2,"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":"Food security; Habit; Diversity (politics); Agriculture; Geography; Food group; Diversity index; Agroecology; Agricultural biodiversity; Socioeconomics; Environmental health; Ecology; Biology; Economics; Psychology; Political science","score_opus":0.03917467736274117,"score_gpt":0.23447099817332484,"score_spread":0.19529632081058368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385426933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99948394,0.0000773258,0.000026818107,0.000030035397,0.0000018012337,0.0000048738984,0.000082237326,0.0000010985444,0.00029190577],"genre_scores_gemma":[0.9996948,0.000041458185,0.00004015289,0.000016252145,0.0000022397296,0.000003852169,0.00009788883,3.2523312e-7,0.0001030566],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982977,0.00004327093,0.0000127045105,0.00003239715,0.00003063164,0.000051145103],"domain_scores_gemma":[0.99977285,0.000036387984,0.00007879191,0.000013320033,0.000030818006,0.00006781646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020024188,0.00013515055,0.00013117006,0.0007729488,0.00059954816,0.00039263253,0.00016865613,0.0001814591,0.000896824],"category_scores_gemma":[0.00036658224,0.000141336,0.0001364971,0.0012630606,0.00040434752,0.00027324687,0.00049732416,0.00020700431,0.00010500337],"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":[0.000039517825,0.000042967473,0.99229175,0.000021260425,0.000024971996,0.0003211623,0.0017801423,0.00009081098,0.0011358683,0.00007749961,0.000100535566,0.004073434],"study_design_scores_gemma":[0.0000010435463,0.000030238849,0.99874437,0.0000043205428,0.0000031832842,0.000106939515,0.00086570345,0.00007457299,0.000028639752,0.000028283826,0.00011063897,0.000002115735],"about_ca_topic_score_codex":0.034449384,"about_ca_topic_score_gemma":0.06665617,"teacher_disagreement_score":0.034449384,"about_ca_system_score_codex":0.00073199085,"about_ca_system_score_gemma":0.00031994487,"threshold_uncertainty_score":0.06849778},"labels":[],"label_agreement":null},{"id":"W4385951658","doi":"10.9734/ijecc/2023/v13i102666","title":"Effect of Organic Manure and Zinc on Growth, Yield Attributes and Economics of Maize","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Crop Yield and Soil Fertility","field":"Agricultural and Biological 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":"Northern Alberta Institute of Technology","funders":"","keywords":"Loam; Vermicompost; Randomized block design; Manure; Field experiment; Zinc; Agriculture; Agronomy; Crop; Total organic carbon; Mathematics; Animal science; Biology; Soil water; Nutrient; Chemistry; Ecology","score_opus":0.028947845960785326,"score_gpt":0.22552854632371874,"score_spread":0.1965807003629334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385951658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996191,0.00009911127,0.000038729708,0.00001499329,0.0000030101703,0.00000828313,0.000083661755,0.0000024626,0.00013062703],"genre_scores_gemma":[0.9986364,0.00014163679,0.00025588236,0.000036196605,0.00000398553,0.000017085531,0.0001457112,0.0000023261118,0.0007608821],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999811,0.00004116196,0.000015962849,0.00004471439,0.000039392144,0.000047675545],"domain_scores_gemma":[0.9996165,0.000089730216,0.00011265612,0.000018612409,0.000049215203,0.000113272225],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002082241,0.00029654853,0.00035091653,0.00029794086,0.00029184658,0.0003838483,0.0002966099,0.00030786163,0.00067009754],"category_scores_gemma":[0.00027809752,0.00021333844,0.0002459051,0.00029459991,0.00023172595,0.00025032155,0.0002160425,0.00040249195,0.00010229624],"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":[0.006661095,0.0014383061,0.023112679,0.00018318614,0.000072239534,0.0003471851,0.00017503198,0.00055557245,0.9628115,0.000057745907,0.00007406318,0.0045113647],"study_design_scores_gemma":[0.00030986438,0.030097459,0.5684254,0.00003139891,0.00020941763,0.0002963783,0.0010206162,0.0031330625,0.3934711,0.00021485695,0.0027230177,0.000067439956],"about_ca_topic_score_codex":0.006437011,"about_ca_topic_score_gemma":0.014524702,"teacher_disagreement_score":0.006437011,"about_ca_system_score_codex":0.0007918574,"about_ca_system_score_gemma":0.00045164634,"threshold_uncertainty_score":0.012799084},"labels":[],"label_agreement":null},{"id":"W4387615809","doi":"10.9734/ijecc/2023/v13i113227","title":"Spatial and Temporal Variability of Rainfall in South-central Senegal: Example of the Fatick and Kaolack Regions","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Hydrology and Drought Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Precipitation; Climate change; Environmental science; Climatology; Geography; Physical geography; Spatial variability; Geology; Meteorology; Statistics; Mathematics","score_opus":0.03162796620053445,"score_gpt":0.246686418726275,"score_spread":0.21505845252574055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387615809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805534,0.00021278078,0.000052699852,0.00006528729,0.0000039086985,0.0000067316923,0.00093728077,0.0000068686345,0.0006591142],"genre_scores_gemma":[0.99873406,0.00022683617,0.00013170659,0.000010401439,0.0000050683475,0.000013366314,0.0007493962,0.0000025500424,0.00012659238],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998684,0.000029809855,0.000012212281,0.000031541018,0.000013682337,0.00004433039],"domain_scores_gemma":[0.99969244,0.00007744644,0.00010212826,0.000023664159,0.00007203666,0.000032342847],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031334715,0.0003114758,0.00024457675,0.0020735897,0.00038804705,0.0007165905,0.00027512878,0.00025937034,0.0011851726],"category_scores_gemma":[0.0006554895,0.00013332526,0.00024769484,0.0039407793,0.00044179248,0.00040916353,0.00057458295,0.00019674595,0.00014162471],"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":[0.00034964352,0.00006737052,0.9690834,0.0001816759,0.00023698848,0.0033958915,0.003137739,0.0029087001,0.0033346582,0.0004988432,0.0010992516,0.015705762],"study_design_scores_gemma":[0.0000060451,0.000013098836,0.99489427,0.000018563178,0.000030148432,0.00024185346,0.0026570186,0.0009645015,0.00017790587,0.00003669041,0.0009491444,0.000010848147],"about_ca_topic_score_codex":0.10621681,"about_ca_topic_score_gemma":0.12955102,"teacher_disagreement_score":0.10621681,"about_ca_system_score_codex":0.0008140811,"about_ca_system_score_gemma":0.0004558192,"threshold_uncertainty_score":0.21119714},"labels":[],"label_agreement":null},{"id":"W4390272175","doi":"10.9734/ijecc/2023/v13i123720","title":"Assessing the Effectiveness of Climate-Resilient Rice Varieties in Building Adaptive Capacity for Small-Scale Farming Communities in Assam","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Agricultural risk and resilience","field":"Agricultural and Biological Sciences","cited_by":2,"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":"Norsk institutt for Bioøkonomi; National Rice Research Institute, Indian Council of Agricultural Research; Multiple Sclerosis Scientific Research Foundation","keywords":"Agriculture; Productivity; Climate change; Yield gap; Yield (engineering); Agricultural economics; Scale (ratio); Geography; Crop; Benefit–cost ratio; Climate resilience; Crop yield; Index (typography); Profitability index; Agricultural science; Business; Agroforestry; Environmental science; Production (economics); Agronomy; Economics; Economic growth; Ecology; Biology","score_opus":0.06747612695432548,"score_gpt":0.2843208747692363,"score_spread":0.2168447478149108,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390272175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992766,0.00001826454,0.00004856365,0.000041661835,0.0000014334914,0.000026432219,0.000013825323,0.0000022745603,0.0005709928],"genre_scores_gemma":[0.99928695,0.000042005053,0.00043169703,0.000012663836,0.0000017229856,0.000026461952,0.000017342129,6.711139e-7,0.00018049228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99951077,0.00019821021,0.000022078075,0.00005074256,0.00009078023,0.00012748373],"domain_scores_gemma":[0.9990778,0.00021237425,0.00018231751,0.00004341358,0.00012758182,0.00035646948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009645793,0.00033417216,0.00020199073,0.00059312105,0.001126606,0.00087735336,0.000655112,0.00042156686,0.0012789755],"category_scores_gemma":[0.001715356,0.00014083783,0.0002249545,0.0005828614,0.00069457846,0.00065821235,0.001105038,0.0003688074,0.00014192941],"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":[0.0008057595,0.0039620306,0.8128809,0.00045447546,0.00013015688,0.0032030703,0.037120584,0.0029300596,0.025018929,0.0016140799,0.00073269726,0.11114721],"study_design_scores_gemma":[0.000020958496,0.0029730476,0.95004344,0.000075605196,0.000041057567,0.0002478786,0.04075692,0.0018546546,0.0014547714,0.00040552943,0.002098614,0.000027486361],"about_ca_topic_score_codex":0.006521551,"about_ca_topic_score_gemma":0.027831512,"teacher_disagreement_score":0.006521551,"about_ca_system_score_codex":0.0013970933,"about_ca_system_score_gemma":0.0014171556,"threshold_uncertainty_score":0.012967169},"labels":[],"label_agreement":null},{"id":"W4393309015","doi":"10.9734/ijecc/2024/v14i34085","title":"Column Study to Assess the Mobility of Salinomycin in Soil Environment","year":2024,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Coccidia and coccidiosis research","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Loam; Leachate; Leaching (pedology); Soil water; Salinomycin; Environmental chemistry; Organic matter; Environmental science; Chemistry; Soil science","score_opus":0.08183487287574187,"score_gpt":0.3086574173351341,"score_spread":0.2268225444593922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393309015","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925283,0.00047353667,0.0031846217,0.000050511393,0.00001742716,0.00011943983,0.0017542469,0.0000555681,0.0018163866],"genre_scores_gemma":[0.9821401,0.0008853838,0.008216512,0.00014953909,0.000014154465,0.00021818464,0.0023230717,0.000029607203,0.0060234787],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99982494,0.000009408994,0.000011029704,0.000057769365,0.000057873585,0.000038924994],"domain_scores_gemma":[0.9998348,0.000017695755,0.00004356617,0.000009204669,0.00006958649,0.000025016014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000105848536,0.00034998538,0.00025317376,0.000290866,0.00034623445,0.0004315945,0.0002655405,0.00029686224,0.0017961937],"category_scores_gemma":[0.00013297077,0.00011742055,0.0002133773,0.00031314022,0.00015908247,0.0002802981,0.0002988569,0.0003123882,0.00040378165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018072828,0.00007093767,0.013845281,0.00010945501,0.000016779371,0.00006428688,0.00008699318,0.00014906153,0.9803293,0.000047917736,0.00011639986,0.0049828417],"study_design_scores_gemma":[0.00002755352,0.0030050403,0.1458305,0.000043784352,0.00008279243,0.00036103048,0.0011219985,0.003724688,0.835646,0.00014977997,0.0099704545,0.00003638695],"about_ca_topic_score_codex":0.012965381,"about_ca_topic_score_gemma":0.024758827,"teacher_disagreement_score":0.012965381,"about_ca_system_score_codex":0.0003893269,"about_ca_system_score_gemma":0.0006341726,"threshold_uncertainty_score":0.025779843},"labels":[],"label_agreement":null},{"id":"W4400203553","doi":"10.9734/ijecc/2024/v14i74265","title":"Remote Sensing Methods and GIS Approaches for Carbon Sequestration Measurement: A General Review","year":2024,"lang":"en","type":"review","venue":"International Journal of Environment and Climate Change","topic":"Fire effects on ecosystems","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":"Centre de Géomatique du Québec","funders":"","keywords":"Carbon sequestration; Geospatial analysis; Remote sensing; Environmental science; Environmental resource management; Lidar; Climate change; Carbon stock; Computer science; Geography; Ecology","score_opus":0.19673336990985418,"score_gpt":0.3702777047278862,"score_spread":0.173544334818032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400203553","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00022890908,0.99717855,0.0007982305,0.00037746556,0.00017460898,0.000019596659,0.00006338463,0.000012312552,0.0011469034],"genre_scores_gemma":[0.0016435689,0.9963414,0.001336973,0.00016770382,0.0001680716,0.000022302067,0.00006753068,0.0000059115173,0.00024650016],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99862385,0.00033868875,0.00025870674,0.00024022057,0.00047257938,0.00006598284],"domain_scores_gemma":[0.99355775,0.004944333,0.00041620093,0.00012287298,0.0008966706,0.00006216327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030095663,0.0015039128,0.0018981852,0.0063684178,0.00040560547,0.0023549474,0.0015423005,0.0018889443,0.0045828004],"category_scores_gemma":[0.0057918383,0.00069522817,0.001992996,0.008556211,0.0009368517,0.003271183,0.0008962363,0.0015958962,0.0014615322],"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":[0.000068135196,0.000080527185,0.0011647263,0.0742735,0.00028939944,0.00022658792,0.0002835046,0.0015799007,0.0010498184,0.00801885,0.01484881,0.8981163],"study_design_scores_gemma":[0.000017323815,0.000187885,0.005430363,0.049682084,0.00092986465,0.0013186801,0.0004996105,0.0011591935,0.0012703805,0.0061202007,0.9332482,0.00013620466],"about_ca_topic_score_codex":0.0051433723,"about_ca_topic_score_gemma":0.004830565,"teacher_disagreement_score":0.0063684178,"about_ca_system_score_codex":0.001209372,"about_ca_system_score_gemma":0.0031751615,"threshold_uncertainty_score":0.015916348},"labels":[],"label_agreement":null},{"id":"W4404762183","doi":"10.9734/ijecc/2024/v14i124602","title":"Impact of the ITF Relationship and the Onset of Rainfall on Precipitation in the Republic of Guinea","year":2024,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Hydrology and Drought Analysis","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":"GDG Environnement","funders":"","keywords":"Precipitation; New guinea; Climatology; Environmental science; Geography; Meteorology; Geology; History; Ethnology","score_opus":0.027767029639941078,"score_gpt":0.28994223461113483,"score_spread":0.26217520497119373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404762183","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970879,0.00012885085,0.00013336363,0.00010199224,0.000013869692,0.000005735496,0.0002915353,0.000005592501,0.0022311534],"genre_scores_gemma":[0.99929607,0.000090733294,0.00011673107,0.00001712931,0.000008394135,0.000004678523,0.00019837091,0.0000027784808,0.0002651303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99960643,0.000119049466,0.000022719774,0.0000687968,0.000057929512,0.00012512834],"domain_scores_gemma":[0.9986797,0.0005188891,0.0003880563,0.00007813744,0.00019020737,0.0001448514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005420697,0.00015686026,0.00021797152,0.0006617968,0.00033850534,0.001113541,0.000274518,0.00028040097,0.0024402183],"category_scores_gemma":[0.0022663893,0.00011423279,0.00037080934,0.0009739803,0.00033240425,0.0003953725,0.00049203483,0.0004223647,0.00017408111],"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":[0.00004193993,0.000025031683,0.9944681,0.000015831733,0.00005888146,0.00029579984,0.00016758146,0.00073958136,0.00050683407,0.00027004303,0.00016418425,0.0032461411],"study_design_scores_gemma":[0.00000179466,0.0000149554935,0.9981343,0.000011732702,0.00001812188,0.00005949154,0.00035659625,0.00075663906,0.000090413465,0.000041065156,0.0005109893,0.000003914492],"about_ca_topic_score_codex":0.040785465,"about_ca_topic_score_gemma":0.04027229,"teacher_disagreement_score":0.040785465,"about_ca_system_score_codex":0.0006416414,"about_ca_system_score_gemma":0.0006870417,"threshold_uncertainty_score":0.08109611},"labels":[],"label_agreement":null},{"id":"W4410895277","doi":"10.9734/ijecc/2025/v15i64870","title":"Living on the Edge: How Nigeria’s Slum Dwellers are Both Victims and Drivers of Climate Change?","year":2025,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Climate Change and Sustainable Development","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Slum; Climate change; Socioeconomics; Geography; Enhanced Data Rates for GSM Evolution; Economic growth; Environmental planning; Political science; Sociology; Demography; Ecology; Economics; Engineering","score_opus":0.021512851225957533,"score_gpt":0.23270499248861087,"score_spread":0.21119214126265334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410895277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94983196,0.0058675194,0.0001939426,0.0301666,0.00033808933,0.000015010803,0.00009254147,0.0000069134453,0.013487453],"genre_scores_gemma":[0.9925608,0.0044655222,0.00007321573,0.0014139923,0.00005250743,0.000008212792,0.000030141095,0.0000048446923,0.0013905901],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99929345,0.00026869605,0.000021743788,0.000052840154,0.000051890434,0.00031125708],"domain_scores_gemma":[0.9994289,0.00012435042,0.00017363783,0.000019805953,0.00005841097,0.00019490518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000893627,0.00030506146,0.0003736627,0.00063097937,0.0044923387,0.0035408528,0.00063024677,0.0014739409,0.004259988],"category_scores_gemma":[0.002065707,0.0002991856,0.0002705697,0.0007826217,0.0027408102,0.005421968,0.003237697,0.0025128948,0.00032502128],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009540148,0.00013954553,0.24565133,0.00038931193,0.00006207444,0.006830488,0.6587882,0.00007988855,0.0004763301,0.013084843,0.014561968,0.059840616],"study_design_scores_gemma":[0.0000026163036,0.000034606506,0.03152357,0.0005184829,0.000027443572,0.0013816159,0.94775426,0.00008042786,0.0000718316,0.002063565,0.016521057,0.000020457426],"about_ca_topic_score_codex":0.023070822,"about_ca_topic_score_gemma":0.06116825,"teacher_disagreement_score":0.023070822,"about_ca_system_score_codex":0.0013063045,"about_ca_system_score_gemma":0.002308601,"threshold_uncertainty_score":0.045873046},"labels":[],"label_agreement":null},{"id":"W4414473361","doi":"10.9734/ijecc/2025/v15i105042","title":"Geochemical Barriers and Mineral Precipitation for Groundwater Remediation: Advances in Natural and Engineered Systems","year":2025,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Groundwater flow and contamination studies","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental remediation; Natural (archaeology); Groundwater; Groundwater remediation; Aquifer; Clogging; Precipitation; Pollutant","score_opus":0.009346302045769627,"score_gpt":0.23736860333219192,"score_spread":0.22802230128642229,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414473361","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028638901,0.94469666,0.013099,0.0028688973,0.0002940862,0.000048355912,0.000075568,0.00006353835,0.010215005],"genre_scores_gemma":[0.11361134,0.87359273,0.010088992,0.0005508169,0.00015455166,0.000042018084,0.00006332935,0.000012077216,0.0018841942],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99975735,0.00004567955,0.000021206792,0.000057386642,0.00009252364,0.000025870775],"domain_scores_gemma":[0.9997639,0.00010550188,0.000040224844,0.000014807196,0.000059559068,0.000015919151],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008455463,0.0003684458,0.00057389087,0.0005734723,0.00033534726,0.0012683076,0.0004849834,0.00064382,0.0010379239],"category_scores_gemma":[0.00046358336,0.00018274694,0.00045721,0.0008357729,0.00075570407,0.001707704,0.00066396623,0.00069924584,0.0002164227],"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":[0.00010927719,0.00033199202,0.0021410685,0.014614853,0.000108390916,0.00035513245,0.0005418114,0.0068712384,0.097105876,0.049451526,0.0051553855,0.82321346],"study_design_scores_gemma":[0.000027069815,0.0011858431,0.004100275,0.0017644585,0.00019520478,0.0006487556,0.00064984296,0.0042765103,0.066563815,0.016276455,0.9042476,0.000064122454],"about_ca_topic_score_codex":0.0024553733,"about_ca_topic_score_gemma":0.0048438697,"teacher_disagreement_score":0.0024553733,"about_ca_system_score_codex":0.001025951,"about_ca_system_score_gemma":0.0012962247,"threshold_uncertainty_score":0.0074437857},"labels":[],"label_agreement":null},{"id":"W4415077006","doi":"10.9734/ijecc/2025/v15i105066","title":"Hydrogeochemical Assessment and Irrigation Suitability of Groundwater in Banaskantha’s Vegetation Zone, India","year":2025,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Groundwater and Watershed Analysis","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lambton College","funders":"","keywords":"Irrigation; Groundwater; Hydrology (agriculture); Alkalinity; Vegetation (pathology); Dominance (genetics); Water quality; Irrigation statistics","score_opus":0.012297612730192546,"score_gpt":0.2630210540159586,"score_spread":0.25072344128576607,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415077006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814606,0.00014247322,0.00013958196,0.000036990936,0.0000023040534,0.000013240667,0.00027869883,0.000012559681,0.0012281673],"genre_scores_gemma":[0.9991943,0.00011541461,0.00016112132,0.000014295163,0.0000014320302,0.0000060117277,0.00026544335,0.0000015534924,0.00024043758],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979216,0.000034002,0.00002650911,0.000035748362,0.0000640564,0.000047663005],"domain_scores_gemma":[0.99980646,0.000035614186,0.00005295589,0.000012873585,0.00006157889,0.000030485942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012545614,0.00018633001,0.0001835942,0.0013187357,0.00054808834,0.00081085274,0.00030827103,0.00020967706,0.00037491106],"category_scores_gemma":[0.00028338932,0.00015285634,0.00023643162,0.0016976036,0.00045906688,0.00020211961,0.00044856162,0.00015739424,0.00011758639],"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":[0.00022450804,0.00013710624,0.9146041,0.0003083402,0.00008887162,0.002152154,0.003963262,0.0012730776,0.048779495,0.00035619517,0.0004815241,0.02763144],"study_design_scores_gemma":[0.0000048281263,0.0001000236,0.99133134,0.000020448457,0.00003445582,0.00086676504,0.0037539557,0.00063449756,0.0019836382,0.00007933342,0.0011725737,0.000018152994],"about_ca_topic_score_codex":0.03961876,"about_ca_topic_score_gemma":0.07738903,"teacher_disagreement_score":0.03961876,"about_ca_system_score_codex":0.00056222954,"about_ca_system_score_gemma":0.0006290196,"threshold_uncertainty_score":0.0787763},"labels":[],"label_agreement":null},{"id":"W4416135232","doi":"10.9734/ijecc/2025/v15i115118","title":"A Combined Statistical and Machine Learning Approach for Predicting Surface Water Quality in Burkina Faso","year":2025,"lang":"","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Water quality; Multilayer perceptron; Surface water; Artificial neural network; Multivariate statistics; Salinity; Total dissolved solids; Hydrology (agriculture); Nutrient","score_opus":0.058155876072303006,"score_gpt":0.32061150211371553,"score_spread":0.26245562604141254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416135232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885156,0.00039569888,0.009905373,0.00023496425,0.000009253934,0.00003570819,0.00016386386,0.00009224219,0.00064721645],"genre_scores_gemma":[0.9932735,0.00010804782,0.0063339653,0.000014397257,0.00000633627,0.000018617578,0.00009335282,0.0000019515473,0.00014980453],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996927,0.00014694654,0.00002952871,0.00006116975,0.000035090434,0.000034595036],"domain_scores_gemma":[0.9994949,0.00026448173,0.000075550364,0.000017465867,0.000118690215,0.000028857075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001060268,0.0007252849,0.00033315647,0.0012207342,0.00038066905,0.0009127911,0.000372044,0.00048261462,0.00027664358],"category_scores_gemma":[0.0017655746,0.00026563724,0.0003150189,0.0006771281,0.00018800168,0.0006958098,0.00042722156,0.00032945158,0.00006739928],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00028728967,0.00042972466,0.44013718,0.00009848863,0.00034999565,0.00036226655,0.0002637841,0.42539397,0.005330425,0.00042363937,0.00031098886,0.12661222],"study_design_scores_gemma":[0.000011119965,0.00010128404,0.041397423,0.00002190897,0.000036966543,0.000026787275,0.00021478711,0.9567586,0.0007588367,0.00041885808,0.0002373168,0.000016084778],"about_ca_topic_score_codex":0.063843936,"about_ca_topic_score_gemma":0.07241446,"teacher_disagreement_score":0.063843936,"about_ca_system_score_codex":0.0011825479,"about_ca_system_score_gemma":0.0010363029,"threshold_uncertainty_score":0.12694466},"labels":[],"label_agreement":null},{"id":"W4416975994","doi":"10.9734/ijecc/2025/v15i125160","title":"Study of Atmospheric Particle Fallout in Nakoyakpala, NZerekore, Guinea","year":2025,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Atmospheric pollution; Air pollution; Atmospheric air; Atmosphere (unit); Atmospheric emissions; Atmospheric dust; Pollution; Atmospheric pressure","score_opus":0.05589976660908892,"score_gpt":0.33095808244224656,"score_spread":0.27505831583315765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416975994","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99872845,0.00009814718,0.00009454741,0.000019690766,0.0000062345553,0.000012498464,0.00014280414,0.00000231615,0.0008953127],"genre_scores_gemma":[0.99818003,0.00022687063,0.0004383386,0.00002242428,0.0000068562067,0.000022273805,0.00021594804,0.0000024108579,0.00088479434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999925,0.0000111245145,0.0000071556433,0.000021103653,0.000015260262,0.000020370228],"domain_scores_gemma":[0.99990654,0.000015697187,0.00003242217,0.000007275531,0.000022196238,0.00001592598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014873591,0.00019734171,0.00019308388,0.0005377177,0.00070352684,0.00040973598,0.00025933053,0.00028693175,0.000675395],"category_scores_gemma":[0.00012933895,0.00012932427,0.00016861303,0.00045574686,0.00023455007,0.00025193222,0.000319897,0.00019743318,0.00010974065],"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":[0.00010684729,0.00016102579,0.97419095,0.000092261274,0.00004273555,0.0012658922,0.0021602765,0.00016897162,0.0107128555,0.00012745529,0.00016972293,0.010801099],"study_design_scores_gemma":[0.0000023840953,0.000052847405,0.99745005,0.000008560716,0.00001076068,0.00016313004,0.0012157002,0.000107428445,0.00033471186,0.000013514447,0.00063809945,0.000002962333],"about_ca_topic_score_codex":0.04326261,"about_ca_topic_score_gemma":0.101036035,"teacher_disagreement_score":0.04326261,"about_ca_system_score_codex":0.00039303902,"about_ca_system_score_gemma":0.00046573885,"threshold_uncertainty_score":0.08602154},"labels":[],"label_agreement":null},{"id":"W4417230275","doi":"10.9734/ijecc/2025/v15i125173","title":"Soil Degradation and Climate Change Relationships: A Review","year":2025,"lang":"en","type":"article","venue":"International Journal of Environment and Climate Change","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological 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 British Columbia","funders":"","keywords":"Soil carbon; Soil organic matter; Soil retrogression and degradation; Soil biodiversity; Soil fertility; Climate change; Leaching (pedology); No-till farming; Nutrient cycle","score_opus":0.058846212978558486,"score_gpt":0.26530988828199126,"score_spread":0.20646367530343276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417230275","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00020840263,0.9988091,0.00006814722,0.00023395233,0.00014314252,0.0000043822665,0.000048404654,0.0000065715817,0.00047794735],"genre_scores_gemma":[0.001223959,0.998156,0.00009815887,0.00012581452,0.00015201955,0.0000045091024,0.000057478504,0.0000016031507,0.00018035852],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996896,0.00005931765,0.00007070454,0.00006834709,0.0000804054,0.00003163255],"domain_scores_gemma":[0.9989749,0.0005794829,0.00018529707,0.000020908617,0.00018758127,0.000051871913],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068118895,0.0009827759,0.0014997106,0.0025342805,0.00035268767,0.0018221135,0.0008489706,0.0012472133,0.005790098],"category_scores_gemma":[0.0015788549,0.0003022677,0.0011387645,0.0037966208,0.00035985155,0.0017088385,0.00070426066,0.0009799079,0.0012999047],"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":[0.00012838973,0.00010909479,0.00128585,0.08286402,0.00039512856,0.00038982616,0.00021944991,0.00074064214,0.0010399113,0.002399495,0.035106413,0.8753217],"study_design_scores_gemma":[0.000019647227,0.00016757689,0.0054564136,0.025128104,0.000998421,0.002069929,0.0002499919,0.00020534122,0.00043497278,0.0021853792,0.9630321,0.000052025945],"about_ca_topic_score_codex":0.0024145057,"about_ca_topic_score_gemma":0.0026073016,"teacher_disagreement_score":0.005790098,"about_ca_system_score_codex":0.00068796787,"about_ca_system_score_gemma":0.0023291858,"threshold_uncertainty_score":0.019369781},"labels":[],"label_agreement":null}]}