{"meta":{"query_hash":"446c217f58d0","filters":{"venue":"Environmental Research Food Systems"},"cohort_total":5,"direct_labels_cover":0,"predictions_cover":5,"exported":5,"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/446c217f58d0","api":"https://metacan.xera.ac/api/v1/cohort?venue=Environmental+Research+Food+Systems"},"results":[{"id":"W4402883999","doi":"10.1088/2976-601x/ad7ff2","title":"Changes in per capita and aggregate apparent consumption of livestock-derived foods in Canada from 1960–2020","year":2024,"lang":"en","type":"article","venue":"Environmental Research Food Systems","topic":"Agriculture Sustainability and Environmental Impact","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":"University of Waterloo; Dalhousie University","funders":"Social Sciences and Humanities Research Council of Canada; Killam Trusts","keywords":"Per capita; Agricultural economics; Livestock; Consumption (sociology); Aggregate (composite); Economics; Agricultural science; Environmental science; Geography; Demography; Forestry; Sociology; Social science; Materials science","score_opus":0.02815298849013913,"score_gpt":0.26621642439723103,"score_spread":0.2380634359070919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402883999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7265331,0.006454293,0.00076473434,0.0018002789,0.00009015243,0.00007907679,0.24970323,0.00018261012,0.014392513],"genre_scores_gemma":[0.94983095,0.0032876388,0.0009403338,0.00030261363,0.000019256997,0.000033722677,0.040065143,0.00002324577,0.005497099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993748,0.000023783929,0.000049367623,0.0001019592,0.00023523488,0.00021481632],"domain_scores_gemma":[0.9978003,0.000052998526,0.00035155137,0.00004270516,0.0013823357,0.0003700816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004468058,0.00049425685,0.00034757933,0.0032859582,0.0012649484,0.0013571066,0.00091508875,0.00036888933,0.00349112],"category_scores_gemma":[0.0014666148,0.0003067799,0.0011146517,0.008646634,0.00047923237,0.00045092616,0.00075813883,0.000688972,0.00047289478],"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":[0.00018255366,0.000037384332,0.96241343,0.00035610262,0.000428868,0.00019336458,0.00067577115,0.0020305284,0.000512644,0.0011056734,0.015771674,0.016292049],"study_design_scores_gemma":[0.000007422447,0.000016077118,0.9867929,0.00011152678,0.000084416206,0.00010286289,0.0006830068,0.0012609793,0.00016684261,0.00006117408,0.010685986,0.000026895183],"about_ca_topic_score_codex":0.99840623,"about_ca_topic_score_gemma":0.9985758,"teacher_disagreement_score":0.040983077,"about_ca_system_score_codex":0.040983077,"about_ca_system_score_gemma":0.042145535,"threshold_uncertainty_score":0.29735446},"labels":[],"label_agreement":null},{"id":"W4403820714","doi":"10.1088/2976-601x/ad8bc7","title":"An analysis of observed and predicted extreme heat and precipitation trends across four pulse producing regions in North America: North Dakota, Montana, Saskatchewan, and Northeastern United States","year":2024,"lang":"en","type":"article","venue":"Environmental Research Food Systems","topic":"Meteorological Phenomena and Simulations","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":"","keywords":"Precipitation; Climatology; Heat wave; Environmental science; Geography; Physical geography; Oceanography; Geology; Meteorology; Climate change","score_opus":0.09218992885400261,"score_gpt":0.2873336451318492,"score_spread":0.1951437162778466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403820714","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99573475,0.0000905613,0.00019248368,0.00008007219,0.0000064587716,0.000008788637,0.0032440682,0.00002228749,0.0006206677],"genre_scores_gemma":[0.99564123,0.00011337205,0.0003314802,0.00004319787,0.0000030028045,0.0000146325665,0.0035560466,0.0000041270373,0.0002929613],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999881,0.00002330034,0.000011364508,0.00003644034,0.000025069954,0.000022899847],"domain_scores_gemma":[0.99959797,0.0000708302,0.00006603536,0.00003264464,0.00016652759,0.00006605766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029161738,0.000220159,0.00019718333,0.0007103172,0.00046542354,0.00058796396,0.00042115373,0.00026441072,0.0008590757],"category_scores_gemma":[0.00047084168,0.00016578914,0.000382849,0.0018779052,0.00022233346,0.00027285662,0.0003933297,0.00030902465,0.0001413705],"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":[0.000058894242,0.000044583416,0.9859546,0.00003446358,0.00023406201,0.00011457379,0.00021150218,0.006955147,0.0014980603,0.0000944146,0.0012156714,0.0035841349],"study_design_scores_gemma":[0.0000073597266,0.000009905493,0.9901978,0.000012544151,0.00003081084,0.000026358986,0.0007443258,0.007990429,0.00023491782,0.000035848898,0.0006993971,0.000010276702],"about_ca_topic_score_codex":0.65423095,"about_ca_topic_score_gemma":0.79366213,"teacher_disagreement_score":0.34576905,"about_ca_system_score_codex":0.0021098927,"about_ca_system_score_gemma":0.0018330581,"threshold_uncertainty_score":0.6956107},"labels":[],"label_agreement":null},{"id":"W4407218933","doi":"10.1088/2976-601x/adabe9","title":"The iGains4Gains model guides irrigation water conservation and allocation to enhance nexus gains across water, food, carbon emissions, and nature","year":2025,"lang":"en","type":"article","venue":"Environmental Research Food Systems","topic":"Water-Energy-Food Nexus Studies","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":"United Nations University Institute for Water, Environment, and Health","funders":"Consortium of International Agricultural Research Centers; Wellcome Trust","keywords":"Nexus (standard); Water conservation; Irrigation; Greenhouse gas; Environmental science; Irrigation management; Water resource management; Water use; Water resources; Production (economics); Environmental economics; Natural resource economics; Computer science; Economics; Ecology","score_opus":0.03289780057479592,"score_gpt":0.3343536748144622,"score_spread":0.3014558742396663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407218933","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2917665,0.00021986668,0.52916425,0.00243502,0.00018989507,0.00043835188,0.0061691697,0.0038699564,0.16574696],"genre_scores_gemma":[0.87686604,0.00029379688,0.09241733,0.00022730639,0.000029098464,0.0003450126,0.0016390114,0.0003242902,0.0278582],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998319,0.000050160234,0.000007676089,0.0000339021,0.000038351507,0.000037999238],"domain_scores_gemma":[0.99955875,0.00023125003,0.000046710156,0.000035920537,0.00008606336,0.000041317286],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005202261,0.0005883743,0.0005080599,0.00051840773,0.0004951799,0.0018093771,0.0015125343,0.0011485914,0.010973045],"category_scores_gemma":[0.0011773378,0.0004090768,0.00077795883,0.0005643737,0.0007275493,0.0011581177,0.0010827916,0.0008888079,0.0009238613],"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":[0.00004321914,0.000032350727,0.0016285375,0.000030150453,0.000012200056,0.00005126305,0.000055993074,0.9711983,0.00045753442,0.019189622,0.001457729,0.0058431183],"study_design_scores_gemma":[0.000021215845,0.000024226738,0.0002707258,0.000010511233,0.000007745842,0.000014500176,0.000050143557,0.98675054,0.0003971677,0.0071349335,0.005310258,0.00000810736],"about_ca_topic_score_codex":0.018308675,"about_ca_topic_score_gemma":0.024357174,"teacher_disagreement_score":0.018308675,"about_ca_system_score_codex":0.0017694809,"about_ca_system_score_gemma":0.0021863866,"threshold_uncertainty_score":0.036708474},"labels":[],"label_agreement":null},{"id":"W4414520309","doi":"10.1088/2976-601x/adf5c9","title":"Retail food sales in Nunavut, Canada not impacted by short-term weather-related inaccessibility of trails used for Inuit subsistence harvesting","year":2025,"lang":"en","type":"article","venue":"Environmental Research Food Systems","topic":"Indigenous Studies and Ecology","field":"Health Professions","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":"Manitoba Beekeepers' Association; University of British Columbia; Nunavut Research Institute; Government of Nunavut; Pacific Institute for Climate Solutions","funders":"National Institute of Environmental Health Sciences; Institute for Biospheric Studies, Yale University","keywords":"Subsistence agriculture; Vulnerability (computing); Product (mathematics); Food systems; Arctic; Food insecurity; Socioeconomic status","score_opus":0.10204490695205033,"score_gpt":0.3947434770948986,"score_spread":0.2926985701428483,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414520309","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945642,0.00020619521,0.0001938396,0.00023724821,0.000013151245,0.00005240634,0.0031158193,0.00001616243,0.0016009591],"genre_scores_gemma":[0.99552494,0.00022585626,0.00044543538,0.000096063544,0.0000036785357,0.00004756297,0.0016026708,0.000012722134,0.002041032],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99934703,0.00010958901,0.000028542016,0.00016691454,0.0000902227,0.0002576864],"domain_scores_gemma":[0.99808985,0.00021865265,0.00030173,0.00011340802,0.00067928794,0.0005971042],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078618043,0.0005825279,0.00039114492,0.0008304671,0.0035570357,0.0021199046,0.0019549578,0.00039097844,0.0034116502],"category_scores_gemma":[0.0024834007,0.00051014294,0.00066599966,0.0024516038,0.0010517541,0.0006936266,0.0015817116,0.00074943004,0.0003074193],"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":[0.00015129086,0.000109748966,0.98999715,0.00005400753,0.000103828585,0.00023656701,0.0020797914,0.0008808646,0.00034119195,0.00047922618,0.0019633477,0.0036029941],"study_design_scores_gemma":[0.000021420308,0.00006424178,0.97667867,0.00010670109,0.000093548995,0.00008671297,0.014833066,0.0048667137,0.00027708482,0.00018429194,0.0027503003,0.000037303747],"about_ca_topic_score_codex":0.99763584,"about_ca_topic_score_gemma":0.9988236,"teacher_disagreement_score":0.030050097,"about_ca_system_score_codex":0.030050097,"about_ca_system_score_gemma":0.032129314,"threshold_uncertainty_score":0.21802974},"labels":[],"label_agreement":null},{"id":"W4416134741","doi":"10.1088/2976-601x/ae10c0","title":"Dietary GHG emissions from 2.7 billion people already exceed the personal carbon footprint needed to achieve the 2 °C climate goal","year":2025,"lang":"en","type":"article","venue":"Environmental Research Food Systems","topic":"Agriculture Sustainability and Environmental Impact","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 British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; University of British Columbia; Canada Research Chairs","keywords":"Greenhouse gas; Carbon footprint; Population; Per capita; Agriculture; Climate change; Consumption (sociology); Food systems; Global warming","score_opus":0.02541546569409636,"score_gpt":0.29258934614444565,"score_spread":0.2671738804503493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416134741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7695473,0.009835855,0.024456577,0.007454632,0.0009440147,0.00011128139,0.038149953,0.0005352144,0.14896521],"genre_scores_gemma":[0.97822285,0.0013582979,0.004768871,0.0009116164,0.00015598237,0.00007470747,0.007785049,0.000046463734,0.0066762036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995074,0.00007195206,0.000016854625,0.00007139205,0.00021537287,0.00011698826],"domain_scores_gemma":[0.99956805,0.000080328406,0.00009866185,0.000034469176,0.00018110212,0.000037378846],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005154123,0.00069622305,0.0003292142,0.00047610613,0.00035251203,0.0011305856,0.0003565805,0.0006839181,0.007698058],"category_scores_gemma":[0.00084198295,0.00013658588,0.0009352668,0.0013653076,0.00023991549,0.001047974,0.00097206497,0.0009716414,0.001820566],"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":[0.0010939622,0.0005440452,0.6080587,0.0017143395,0.0017141105,0.0009190044,0.0007869977,0.033366226,0.037162118,0.028284162,0.06763624,0.21872011],"study_design_scores_gemma":[0.000060054364,0.00040316305,0.7726785,0.0005446565,0.00048766594,0.0005067264,0.0023121587,0.010555063,0.019584889,0.015876437,0.17687514,0.00011559664],"about_ca_topic_score_codex":0.020669876,"about_ca_topic_score_gemma":0.02505993,"teacher_disagreement_score":0.020669876,"about_ca_system_score_codex":0.00064507173,"about_ca_system_score_gemma":0.00063752895,"threshold_uncertainty_score":0.04109913},"labels":[],"label_agreement":null}]}