{"meta":{"query_hash":"60b7dc987ba6","filters":{"venue":"Environmental and Sustainability Indicators"},"cohort_total":39,"direct_labels_cover":0,"predictions_cover":39,"exported":39,"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/60b7dc987ba6","api":"https://metacan.xera.ac/api/v1/cohort?venue=Environmental+and+Sustainability+Indicators"},"results":[{"id":"W3023180416","doi":"10.1016/j.indic.2020.100038","title":"Towards complexity of agricultural sustainability assessment: Main issues and concerns","year":2020,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Sustainable Agricultural Systems Analysis","field":"Environmental Science","cited_by":106,"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 Waterloo; Queen's University; Wilfrid Laurier University; Centre for International Governance Innovation; Balsillie School of International Affairs; York University","funders":"","keywords":"Sustainability; Resilience (materials science); Corporate governance; Agriculture; Sustainability science; Environmental resource management; Psychological resilience; Sustainability organizations; Adaptation (eye); Set (abstract data type); Environmental planning; Business; Management science; Process management; Risk analysis (engineering); Computer science; Engineering; Geography; Economics; Psychology; Ecology","score_opus":0.00923717109126095,"score_gpt":0.24350800067002892,"score_spread":0.23427082957876796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023180416","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":[0.046529226,0.096759446,0.56996316,0.18636264,0.0024956958,0.00089465413,0.00053767633,0.0006127826,0.09584476],"genre_scores_gemma":[0.45703337,0.072568975,0.4476321,0.009031503,0.002685656,0.0010110213,0.00058578805,0.0002816255,0.009169841],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9716061,0.013083997,0.0023470074,0.0018963473,0.010387836,0.0006787668],"domain_scores_gemma":[0.9417798,0.039713178,0.0043024123,0.0023838114,0.010765733,0.0010551249],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.030632379,0.0012996199,0.0018171394,0.008459439,0.0030626946,0.019977977,0.003088426,0.003050647,0.002626555],"category_scores_gemma":[0.04752804,0.0008671887,0.0014888969,0.0074720536,0.013985302,0.021114334,0.009275972,0.008828959,0.0005800063],"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":[0.000044177068,0.000103354345,0.006073655,0.0035823088,0.000106788626,0.00059857394,0.009780728,0.010234477,0.0024621752,0.78022814,0.009795159,0.17699045],"study_design_scores_gemma":[0.0000066232224,0.000064664804,0.004105491,0.0034452456,0.00005385065,0.0007488815,0.012033061,0.010341841,0.001836534,0.8305756,0.13667433,0.000113859496],"about_ca_topic_score_codex":0.0036287664,"about_ca_topic_score_gemma":0.0032512797,"teacher_disagreement_score":0.030632379,"about_ca_system_score_codex":0.008468947,"about_ca_system_score_gemma":0.00832936,"threshold_uncertainty_score":0.16200143},"labels":[],"label_agreement":null},{"id":"W3169482150","doi":"10.1016/j.indic.2021.100126","title":"Evaluating the vulnerability of farming communities to winter storms in Iowa, US","year":2021,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"College of Social and Behavioral Science, University of Utah; College of Social and Behavioral Sciences, University of Northern Iowa; University of Northern Iowa","keywords":"Storm; Vulnerability (computing); Adaptive capacity; Agriculture; Geography; Metropolitan area; Vulnerability assessment; Vulnerability index; Extreme weather; Social vulnerability; Climate change; Environmental science; Environmental resource management; Psychological resilience; Ecology; Meteorology","score_opus":0.031103245053019382,"score_gpt":0.2962130595132381,"score_spread":0.26510981446021875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169482150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992397,0.0000149869265,0.00012541316,0.000028075283,0.0000010867132,0.000016782305,0.0001404971,0.0000016540083,0.00043197267],"genre_scores_gemma":[0.99928707,0.00006676598,0.00022667994,0.00001217967,0.0000013427639,0.000026753385,0.0002186487,0.0000010536742,0.00015957993],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99954754,0.00013731814,0.00004643958,0.00007274302,0.000084079984,0.00011175082],"domain_scores_gemma":[0.9982017,0.0004625598,0.00058745994,0.00008486334,0.00043108262,0.0002322491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008406066,0.00026103348,0.00015203809,0.0009072583,0.000613179,0.0008740221,0.00028652663,0.00027432412,0.0009842982],"category_scores_gemma":[0.0026773938,0.00014713108,0.00027689742,0.00089400506,0.0004657331,0.0005941024,0.0010122764,0.00024105827,0.0000809231],"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":[0.000054111624,0.0000580404,0.99007845,0.000028109656,0.000042438245,0.00012065366,0.002705811,0.00068292045,0.0006395361,0.00010290679,0.00023288451,0.0052541783],"study_design_scores_gemma":[0.0000026516275,0.000087070104,0.9789202,0.000029541532,0.000021897511,0.000054904373,0.01859064,0.0013145563,0.00017947784,0.00017567253,0.0006139515,0.000009437927],"about_ca_topic_score_codex":0.078041434,"about_ca_topic_score_gemma":0.19240364,"teacher_disagreement_score":0.078041434,"about_ca_system_score_codex":0.001332659,"about_ca_system_score_gemma":0.0011191522,"threshold_uncertainty_score":0.15517437},"labels":[],"label_agreement":null},{"id":"W3203752672","doi":"10.1016/j.indic.2021.100154","title":"Assessment of the ecological footprint associated with consumer goods and waste management activities of south mediterranean cities: Case of Algiers and Tipaza","year":2021,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecological footprint; Greenhouse gas; Carbon footprint; Environmental science; Municipal solid waste; Goods and services; Circular economy; Business; Product (mathematics); Natural resource economics; Environmental engineering; Environmental resource management; Environmental protection; Environmental planning; Waste management; Sustainability; Engineering; Ecology; Economics; Economy","score_opus":0.0055530329181895,"score_gpt":0.22768783761039996,"score_spread":0.22213480469221045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3203752672","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986712,0.000042485266,0.00029782922,0.000032582848,9.014232e-7,0.000007925564,0.000091405265,0.0000046573155,0.0008510853],"genre_scores_gemma":[0.9991302,0.000064911284,0.00043463122,0.000005258609,9.583235e-7,0.000005713934,0.00007981347,0.0000024683936,0.00027608473],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976796,0.00007289346,0.000012746162,0.000033578144,0.000059872873,0.000053016207],"domain_scores_gemma":[0.9996592,0.00013253589,0.00006903046,0.000029855562,0.000086102795,0.000023278382],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042611524,0.00043543437,0.00022314343,0.0014331016,0.0004544242,0.001309272,0.00041204641,0.00056128314,0.000807257],"category_scores_gemma":[0.0005366428,0.00018412924,0.0007162173,0.0017499928,0.000467568,0.00054188556,0.0005810902,0.00022500512,0.000073241914],"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":[0.0004895398,0.00037706748,0.7735673,0.00028921216,0.00034594364,0.008103768,0.002900638,0.15806505,0.008461084,0.0031819697,0.000866072,0.04335226],"study_design_scores_gemma":[0.000023903103,0.0002656886,0.79622114,0.00006457212,0.00020964709,0.00078066054,0.018642897,0.1733838,0.006065961,0.0013532619,0.0029212972,0.00006714886],"about_ca_topic_score_codex":0.06215173,"about_ca_topic_score_gemma":0.08072056,"teacher_disagreement_score":0.06215173,"about_ca_system_score_codex":0.0019780942,"about_ca_system_score_gemma":0.00056916365,"threshold_uncertainty_score":0.12357992},"labels":[],"label_agreement":null},{"id":"W3217115374","doi":"10.1016/j.indic.2021.100163","title":"African climate change policy performance index","year":2021,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Energy and Environment Impacts","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Université Mohammed VI Polytechnique","keywords":"Climate change; Index (typography); Context (archaeology); Cape verde; Geography; Environmental resource management; Political science; Economics; Sociology; Computer science","score_opus":0.004751135653547645,"score_gpt":0.20526020919303703,"score_spread":0.20050907353948938,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3217115374","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19448069,0.013366224,0.006015152,0.023258192,0.0014419426,0.0006792799,0.11006784,0.00095900183,0.64973164],"genre_scores_gemma":[0.86646813,0.013350561,0.010998642,0.0014264015,0.0006373279,0.0009113947,0.04819174,0.0002157156,0.05780014],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.996128,0.0007327485,0.0003016854,0.00018568704,0.0019726728,0.00067915017],"domain_scores_gemma":[0.992926,0.00074190006,0.0014841758,0.00020508548,0.003943019,0.00069980253],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035069364,0.0005970289,0.00033976257,0.00599175,0.0013546956,0.0029237526,0.00045184247,0.00050062995,0.011616924],"category_scores_gemma":[0.010813327,0.00014158797,0.00026170682,0.013678704,0.00041947572,0.0014972835,0.0015432106,0.0010524036,0.002547365],"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":[0.00030560137,0.00020287686,0.12681709,0.0020027317,0.00014166255,0.00034821228,0.0023263886,0.0061000898,0.0016466967,0.083132505,0.41133186,0.36564425],"study_design_scores_gemma":[0.000016512515,0.000100783,0.2781047,0.0004865535,0.0000349726,0.00024482835,0.0014149599,0.0023786572,0.0011800096,0.004739651,0.711236,0.00006237656],"about_ca_topic_score_codex":0.016280072,"about_ca_topic_score_gemma":0.009523695,"teacher_disagreement_score":0.016280072,"about_ca_system_score_codex":0.004418947,"about_ca_system_score_gemma":0.005927913,"threshold_uncertainty_score":0.038862467},"labels":[],"label_agreement":null},{"id":"W4206329681","doi":"10.1016/j.indic.2022.100170","title":"Myanmar local food systems in a changing climate: Insights from multiple stakeholders","year":2022,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Development Research Centre","funders":"International Fund for Agricultural Development; International Development Research Centre","keywords":"Food systems; Agriculture; Business; Sustainable agriculture; Food security; Transformative learning; Climate change; Intermediary; Environmental resource management; Focus group; Environmental planning; Marketing; Geography; Economics; Ecology; Sociology","score_opus":0.01543616115816614,"score_gpt":0.18881993966795252,"score_spread":0.17338377850978637,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206329681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98333895,0.00038792528,0.0008078629,0.002873903,0.00001464312,0.000048496975,0.0000655351,0.000008960537,0.012453706],"genre_scores_gemma":[0.99671125,0.00040409167,0.0006417046,0.00043039586,0.0000054655716,0.000054581153,0.000042233194,0.000009138849,0.001701146],"study_design_codex":"qualitative","study_design_gemma":"qualitative","domain_scores_codex":[0.99844545,0.0010295947,0.000024590672,0.000103094324,0.00009180091,0.00030548722],"domain_scores_gemma":[0.9992067,0.00045991736,0.000081046725,0.000041708136,0.00009407853,0.00011655178],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018676469,0.00036137277,0.0003232993,0.00064129505,0.0062969932,0.0029681565,0.0007680349,0.0010823383,0.0028001028],"category_scores_gemma":[0.0017502761,0.00028064195,0.00024353218,0.0008211253,0.0021555105,0.003510746,0.0040168334,0.001448663,0.0002953032],"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":[0.00003636877,0.00006631281,0.014118092,0.00021937818,0.000017894807,0.0039341347,0.9575301,0.00017224858,0.0028719816,0.0041635847,0.0017743596,0.015095447],"study_design_scores_gemma":[0.0000019184506,0.000035162375,0.009954007,0.00009665445,0.000009220102,0.00031365897,0.9723489,0.00019366438,0.00021550414,0.0007887676,0.016032575,0.000009951003],"about_ca_topic_score_codex":0.010176755,"about_ca_topic_score_gemma":0.02335207,"teacher_disagreement_score":0.010176755,"about_ca_system_score_codex":0.0025042682,"about_ca_system_score_gemma":0.0017874066,"threshold_uncertainty_score":0.020235002},"labels":[],"label_agreement":null},{"id":"W4308987293","doi":"10.1016/j.indic.2022.100213","title":"Investigating drivers impacting vegetation carbon sequestration capacity on the terrestrial environment in 127 Chinese cities","year":2022,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Carbon sequestration; Environmental science; Vegetation (pathology); Carbon fibers; China; Physical geography; Environmental resource management; Environmental protection; Carbon dioxide; Geography; Ecology; Computer science","score_opus":0.007085479461249093,"score_gpt":0.1981090386881888,"score_spread":0.1910235592269397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308987293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994642,0.00002407034,0.000061325954,0.000017889999,7.8076533e-7,0.0000038948797,0.0001849984,0.0000029821326,0.00023987947],"genre_scores_gemma":[0.9994429,0.000027343782,0.000040048322,0.0000035691783,0.0000010413343,0.0000050151834,0.00028744788,0.0000011855653,0.00019137915],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999688,0.000050824456,0.000025916417,0.000070270115,0.000054465097,0.000110586254],"domain_scores_gemma":[0.999395,0.00015654387,0.00013070964,0.000061214305,0.00015112777,0.00010534443],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000579678,0.00045044976,0.00029007482,0.001334059,0.0006597118,0.00072768173,0.00040124133,0.00020157784,0.0011359114],"category_scores_gemma":[0.00077314023,0.00022065768,0.0007412166,0.0027900084,0.0004304629,0.00034273526,0.0006481147,0.00025007967,0.00013124676],"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":[0.000018349698,0.00003047204,0.99479574,0.000014284367,0.00006746856,0.00010107301,0.0003836868,0.0011163661,0.00024313144,0.00014396738,0.00013973798,0.0029458182],"study_design_scores_gemma":[0.0000012720714,0.000016090115,0.99576473,0.0000035586688,0.000035296234,0.000016537002,0.0010309977,0.0027559244,0.00011008242,0.00004047737,0.00021933358,0.000005790575],"about_ca_topic_score_codex":0.25208357,"about_ca_topic_score_gemma":0.28128856,"teacher_disagreement_score":0.25208357,"about_ca_system_score_codex":0.002317169,"about_ca_system_score_gemma":0.0024273517,"threshold_uncertainty_score":0.50123256},"labels":[],"label_agreement":null},{"id":"W4328137117","doi":"10.1016/j.indic.2023.100249","title":"An approach to measuring individual endorsement of social-ecological resilience of water systems","year":2023,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Sustainability and Climate Change Governance","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":"Canada Research Chairs","keywords":"Resilience (materials science); Ecology; Environmental resource management; Psychology; Environmental science; Geography; Biology; Physics","score_opus":0.014504152337638057,"score_gpt":0.22978364410624585,"score_spread":0.2152794917686078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328137117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9478927,0.00009441539,0.032207247,0.00048018835,0.00008487702,0.0019502771,0.0005632791,0.00010385276,0.016623085],"genre_scores_gemma":[0.9243784,0.00012325167,0.06600667,0.00028274133,0.000039943952,0.006250309,0.000492942,0.000020595986,0.0024052272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9871569,0.008656802,0.0011480737,0.00056473556,0.0020601393,0.00041330772],"domain_scores_gemma":[0.96389073,0.020827403,0.006875682,0.0023733287,0.005031736,0.0010010552],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01257527,0.00059425394,0.00039174422,0.003565083,0.0015149083,0.0014250143,0.0008175666,0.0010092359,0.004006817],"category_scores_gemma":[0.026560098,0.00034085737,0.0008835744,0.0031597803,0.0019705205,0.0015865935,0.002257957,0.0019971945,0.0005343899],"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":[0.0004792827,0.0031536035,0.71944857,0.0010670068,0.00042477078,0.00030169432,0.109123915,0.001423463,0.013168228,0.016817765,0.0032400696,0.13135163],"study_design_scores_gemma":[0.00011915086,0.0036781186,0.8940208,0.0003073215,0.00018227655,0.0006059382,0.05464946,0.0068478207,0.008966583,0.012542108,0.017830834,0.0002495044],"about_ca_topic_score_codex":0.0014858391,"about_ca_topic_score_gemma":0.0026418553,"teacher_disagreement_score":0.01257527,"about_ca_system_score_codex":0.00087616453,"about_ca_system_score_gemma":0.0011291917,"threshold_uncertainty_score":0.06650519},"labels":[],"label_agreement":null},{"id":"W4399116626","doi":"10.1016/j.indic.2024.100417","title":"A systematic review of agricultural use water quality indices","year":2024,"lang":"en","type":"review","venue":"Environmental and Sustainability Indicators","topic":"Water Quality and Pollution Assessment","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Government","keywords":"Agriculture; Water quality; Cropping; Index (typography); Environmental science; Sanitation; Water resource management; Water use; Environmental resource management; Geography; Computer science; Environmental engineering; Ecology","score_opus":0.01713148390877997,"score_gpt":0.30877262440587266,"score_spread":0.29164114049709267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399116626","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":[0.0009398744,0.995663,0.00040540835,0.00048474336,0.00017580301,0.00044387058,0.0011305192,0.000017255192,0.0007395508],"genre_scores_gemma":[0.0074708266,0.9896625,0.0009363967,0.00048131912,0.000057177494,0.0006179034,0.0005514579,0.0000065464824,0.00021599726],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.99217063,0.0023012457,0.0028936258,0.0005835582,0.0018093856,0.00024160159],"domain_scores_gemma":[0.9794558,0.0137035195,0.003138058,0.00038104012,0.0030936701,0.0002279484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008564013,0.0015707779,0.0051429793,0.015486742,0.00073045323,0.002594305,0.0019131291,0.0013332538,0.005708689],"category_scores_gemma":[0.040165663,0.0008144492,0.0056944783,0.018497532,0.00080010033,0.0029038575,0.0018093386,0.0010184597,0.0005353423],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068082125,0.0000093927665,0.00048513562,0.94191104,0.0027690835,0.000096589414,0.00020549085,0.00008584322,0.00015888677,0.00041411052,0.0036169928,0.05017926],"study_design_scores_gemma":[0.00006889769,0.000104288876,0.0037652985,0.91673726,0.0250286,0.0003187772,0.00033991828,0.00006114326,0.00019370548,0.00052177766,0.052830692,0.000029616194],"about_ca_topic_score_codex":0.009323185,"about_ca_topic_score_gemma":0.031483915,"teacher_disagreement_score":0.015486742,"about_ca_system_score_codex":0.0037119319,"about_ca_system_score_gemma":0.017588364,"threshold_uncertainty_score":0.045291364},"labels":[],"label_agreement":null},{"id":"W4401155231","doi":"10.1016/j.indic.2024.100445","title":"Forest land use change effects on biodiversity ecosystem services and human well-being: A systematic analysis","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Conservation, Biodiversity, and Resource Management","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Tarbiat Modares University","keywords":"Biodiversity; Ecosystem services; Provisioning; Deforestation (computer science); Environmental resource management; Greenhouse gas; Forest management; Land use, land-use change and forestry; Land use; Ecosystem; Business; Geography; Environmental science; Forestry; Ecology; Engineering; Computer science; Biology","score_opus":0.004694735143252972,"score_gpt":0.18311940971337956,"score_spread":0.1784246745701266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401155231","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":[0.037907884,0.9565366,0.0006673419,0.00057408446,0.000103871156,0.0007949361,0.0019778856,0.000013505292,0.0014238853],"genre_scores_gemma":[0.20996356,0.78433007,0.0025655555,0.00049223466,0.00007269863,0.0012261065,0.0010261933,0.000008894536,0.00031458432],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9936113,0.0018451939,0.0025120769,0.00047387727,0.0013580373,0.00019960398],"domain_scores_gemma":[0.96903026,0.024293754,0.003397691,0.0004417378,0.0025679423,0.0002685896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0079094805,0.00073196326,0.0024698526,0.024572814,0.00069522514,0.0020599558,0.00063044863,0.0007811796,0.0013066486],"category_scores_gemma":[0.02254975,0.0005273442,0.0033097018,0.022782966,0.001010041,0.0016843429,0.0013658623,0.0004961485,0.00010778981],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015419773,0.0000616118,0.029015673,0.8502276,0.0112926215,0.00090162683,0.0049630236,0.00031608614,0.00082116405,0.0013465072,0.0017473933,0.09915245],"study_design_scores_gemma":[0.00007747628,0.00038870258,0.09005806,0.7886482,0.06572531,0.001744774,0.009162177,0.0004566698,0.00085989665,0.0011903251,0.041587032,0.00010142736],"about_ca_topic_score_codex":0.0106743835,"about_ca_topic_score_gemma":0.028951786,"teacher_disagreement_score":0.024572814,"about_ca_system_score_codex":0.0028398186,"about_ca_system_score_gemma":0.010507766,"threshold_uncertainty_score":0.041829824},"labels":[],"label_agreement":null},{"id":"W4402404662","doi":"10.1016/j.indic.2024.100474","title":"The hidden development patterns of Africa and their sustainability correlations","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Sustainable Development and Environmental Policy","field":"Environmental Science","cited_by":10,"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":"College of Environmental Science and Forestry, State University of New York; Toronto Metropolitan University","keywords":"Sustainability; Geography; Ecology; Biology","score_opus":0.0040396161645390345,"score_gpt":0.19702172917525243,"score_spread":0.19298211301071339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402404662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922742,0.00033949607,0.001035534,0.00021592343,0.0000066879275,0.0000129090695,0.0004545967,0.000008111795,0.0056525697],"genre_scores_gemma":[0.9991365,0.00016047791,0.00037684254,0.000006676869,0.0000024508938,0.0000070298925,0.00012289657,0.0000027218068,0.00018442556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992022,0.0002765207,0.00007332829,0.00014130207,0.00014625439,0.00016040982],"domain_scores_gemma":[0.99780005,0.0010823302,0.00056319026,0.00018649819,0.0002680748,0.000099785415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090215605,0.00024214094,0.0002578321,0.0031345156,0.00054752367,0.0016249198,0.00015342965,0.00014560037,0.0025847787],"category_scores_gemma":[0.00594879,0.00023268217,0.00028751203,0.006628187,0.00097296655,0.0010722113,0.0016768905,0.00037815562,0.00019230688],"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":[0.000041480806,0.000012288346,0.9603185,0.00004844716,0.00010044029,0.00017213757,0.003916692,0.00093274907,0.0004095543,0.0074347127,0.0003578547,0.026255196],"study_design_scores_gemma":[0.0000030582416,0.000022571478,0.9768961,0.0000850042,0.000034555298,0.00017397407,0.009671866,0.0028336218,0.00022474231,0.005918303,0.004119164,0.00001705194],"about_ca_topic_score_codex":0.007265064,"about_ca_topic_score_gemma":0.011681713,"teacher_disagreement_score":0.007265064,"about_ca_system_score_codex":0.00070241507,"about_ca_system_score_gemma":0.00059077994,"threshold_uncertainty_score":0.014445543},"labels":[],"label_agreement":null},{"id":"W4402422496","doi":"10.1016/j.indic.2024.100477","title":"Effects of extension service on the uptake of climate-smart sorghum production practices: Insights from drylands of Ethiopia","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Climate change impacts on agriculture","field":"Agricultural and Biological Sciences","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"International Development Research Centre","keywords":"Extension (predicate logic); Sorghum; Production (economics); Service (business); Geography; Business; Agroforestry; Computer science; Environmental science; Marketing; Economics; Forestry","score_opus":0.010553635974175558,"score_gpt":0.22479692630455617,"score_spread":0.21424329033038061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402422496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990349,0.000094620715,0.000048497484,0.00008299446,0.0000011846249,0.000006310415,0.00006234747,4.5404707e-7,0.0006686908],"genre_scores_gemma":[0.999556,0.00014392025,0.000071882176,0.000029944693,0.0000014089436,0.0000053072313,0.000032759875,7.7802207e-7,0.00015797249],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99915993,0.00043449437,0.00002516912,0.000066622146,0.000057056233,0.0002567772],"domain_scores_gemma":[0.9976908,0.0013246972,0.0004230636,0.000035172354,0.00020461522,0.0003217085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011833705,0.00025055796,0.00030639378,0.0009799345,0.0010130835,0.0018223233,0.00036348318,0.00037900932,0.0027453862],"category_scores_gemma":[0.0019499321,0.00017412212,0.0003047251,0.0012910966,0.00075162464,0.00086433726,0.0012958427,0.0005161104,0.00015992214],"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":[0.00034721487,0.00074637437,0.9342205,0.0003825134,0.00014365705,0.003409461,0.03331675,0.0011105487,0.001839889,0.0019151707,0.0004368915,0.022130942],"study_design_scores_gemma":[0.000020494328,0.00028745818,0.8704465,0.00023163827,0.000085175634,0.0002388395,0.12404653,0.001615978,0.0002899477,0.000511006,0.0022055332,0.000020819489],"about_ca_topic_score_codex":0.028835226,"about_ca_topic_score_gemma":0.05476199,"teacher_disagreement_score":0.028835226,"about_ca_system_score_codex":0.0018014086,"about_ca_system_score_gemma":0.001825969,"threshold_uncertainty_score":0.05733478},"labels":[],"label_agreement":null},{"id":"W4402654414","doi":"10.1016/j.indic.2024.100482","title":"Global environmental sustainability trends: A temporal comparison using a new interval-based composite indicator","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Composite indicator; Environmental science; Interval (graph theory); Environmental resource management; Composite number; Econometrics; Computer science; Mathematics; Ecology; Algorithm; Biology","score_opus":0.026184174836197203,"score_gpt":0.26820781709458963,"score_spread":0.24202364225839243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402654414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.56524885,0.001885783,0.35667548,0.000784331,0.0003979782,0.00040172142,0.019134177,0.002195585,0.053276144],"genre_scores_gemma":[0.8502091,0.00088612863,0.13573456,0.00007616711,0.00011211045,0.00046085764,0.010748551,0.0001435859,0.0016289146],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99858934,0.0002487607,0.00015783748,0.0002759984,0.0006231993,0.000104901046],"domain_scores_gemma":[0.9963378,0.001007165,0.00089951145,0.00030870002,0.0012921601,0.00015477001],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024356747,0.00054349686,0.00042285945,0.012749821,0.00039548433,0.0023609293,0.0005645886,0.00044684624,0.0020271412],"category_scores_gemma":[0.006781782,0.00015482093,0.00076529995,0.014515136,0.00058346445,0.0026194642,0.001324381,0.0006608328,0.0003444407],"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":[0.0007919091,0.00024308532,0.38820606,0.0012860795,0.00067423,0.0004959811,0.0025233715,0.093750626,0.015128078,0.055401377,0.011644924,0.42985427],"study_design_scores_gemma":[0.00006354934,0.00084606255,0.55947334,0.00032995056,0.0005426975,0.0009591241,0.0058408133,0.30211803,0.011429853,0.04035693,0.07770598,0.00033364483],"about_ca_topic_score_codex":0.005671863,"about_ca_topic_score_gemma":0.0040560113,"teacher_disagreement_score":0.012749821,"about_ca_system_score_codex":0.000991402,"about_ca_system_score_gemma":0.0008409166,"threshold_uncertainty_score":0.012881219},"labels":[],"label_agreement":null},{"id":"W4402901220","doi":"10.1016/j.indic.2024.100491","title":"Tracking progress toward sustainable development goal 12 using Canadian industrial pollutants in waste","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Municipal Solid Waste Management","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Pollutant; Sustainable development; Tracking (education); Environmental science; Environmental resource management; Waste management; Environmental planning; Business; Engineering; Ecology; Biology","score_opus":0.014818636982485719,"score_gpt":0.23547951408574763,"score_spread":0.2206608771032619,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402901220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4717819,0.0024719306,0.009967373,0.005076485,0.0001990379,0.000887218,0.40262365,0.0007605957,0.10623177],"genre_scores_gemma":[0.7299908,0.002746725,0.030004619,0.0008845793,0.00003574944,0.0005113851,0.21356976,0.00017947555,0.022076907],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99568117,0.0003532326,0.00018958944,0.00046857877,0.0024904136,0.00081700005],"domain_scores_gemma":[0.9883336,0.0005237763,0.00077097665,0.0004838481,0.009351456,0.0005362676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028227202,0.00077599235,0.00052712683,0.0108127715,0.003457415,0.0035921277,0.0019471658,0.0005961245,0.0033342582],"category_scores_gemma":[0.008199713,0.00029529195,0.0009081985,0.026382336,0.0005973231,0.0013105072,0.0023879032,0.0008910033,0.0007634465],"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":[0.0003424649,0.00024305435,0.6433597,0.0011287614,0.0005065973,0.00045758174,0.0055984855,0.014077194,0.002221666,0.026208064,0.1263986,0.17945789],"study_design_scores_gemma":[0.000046774014,0.000095452015,0.67336416,0.00063978974,0.0002672382,0.00009600682,0.012334131,0.013881736,0.005803552,0.0021970617,0.29096988,0.0003041776],"about_ca_topic_score_codex":0.9952318,"about_ca_topic_score_gemma":0.9975846,"teacher_disagreement_score":0.04520567,"about_ca_system_score_codex":0.04520567,"about_ca_system_score_gemma":0.09561147,"threshold_uncertainty_score":0.3279916},"labels":[],"label_agreement":null},{"id":"W4402911618","doi":"10.1016/j.indic.2024.100490","title":"Building high-resolution projections of temperature potential changes using statistical downscaling for the future period 2026–2100 in the highland region of Yemen – A supportive approach for empowering environmental planning and decision-making","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","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":"","keywords":"Downscaling; Period (music); Climatology; Environmental science; High resolution; Climate change; Environmental resource management; Computer science; Meteorology; Geography; Geology; Remote sensing; Oceanography","score_opus":0.008179920482322186,"score_gpt":0.2704953966578142,"score_spread":0.262315476175492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402911618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94866765,0.0004440052,0.032219674,0.0006837268,0.00006404379,0.00006160511,0.013883496,0.00043693627,0.003538941],"genre_scores_gemma":[0.9693822,0.00032760637,0.02010202,0.000030854364,0.00001431301,0.00008925002,0.009543759,0.00002860633,0.0004812669],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99987316,0.000036232654,0.000013425786,0.000031510142,0.000021026062,0.000024632647],"domain_scores_gemma":[0.9997706,0.000042057254,0.00004725721,0.000044236614,0.00007671319,0.000019050805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005417686,0.0004055873,0.00020477305,0.0006388893,0.00027903184,0.00046740822,0.0005027247,0.00034514067,0.0013266539],"category_scores_gemma":[0.0011369528,0.00025364634,0.0006773243,0.0014830487,0.00016464354,0.0006471848,0.00040540117,0.00045796376,0.00021003203],"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":[0.00012492714,0.000085292086,0.092560984,0.00012705187,0.00025674584,0.00025909857,0.00013637671,0.86848354,0.0026533538,0.002381372,0.0035790242,0.029352129],"study_design_scores_gemma":[0.000024801795,0.000030379275,0.05063515,0.000030236519,0.00006586318,0.00003854934,0.00022164454,0.9410206,0.0019639917,0.0013068196,0.0046264306,0.000035544756],"about_ca_topic_score_codex":0.073148005,"about_ca_topic_score_gemma":0.07756566,"teacher_disagreement_score":0.073148005,"about_ca_system_score_codex":0.00069021445,"about_ca_system_score_gemma":0.0016010618,"threshold_uncertainty_score":0.14544451},"labels":[],"label_agreement":null},{"id":"W4403173160","doi":"10.1016/j.indic.2026.101234","title":"Integrating Participatory Stock and Flow Models with Advanced Process Models for Sustainability Assessment in Small-Scale Tropical Agricultural Systems","year":2024,"lang":"en","type":"preprint","venue":"Environmental and Sustainability Indicators","topic":"Sustainable Agricultural Systems Analysis","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":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Instituto para la Formación y Aprovechamiento de Recursos Humanos","keywords":"Sustainability; Stock (firearms); Citizen journalism; Agriculture; Scale (ratio); Process (computing); Business; Environmental resource management; Geography; Environmental science; Computer science; Ecology; Cartography","score_opus":0.008860086344248312,"score_gpt":0.24458650978315494,"score_spread":0.23572642343890662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403173160","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":[0.17142612,0.00014688911,0.8172362,0.00043610763,0.000034301735,0.00041117787,0.00025625102,0.00032137186,0.009731615],"genre_scores_gemma":[0.7775159,0.00018732795,0.21972135,0.00005962136,0.00001707788,0.0006727388,0.0002075389,0.00005573053,0.00156271],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99855405,0.0008707611,0.00006912401,0.00017391967,0.00024305379,0.00008908467],"domain_scores_gemma":[0.99480057,0.0040151086,0.00038635737,0.00031456526,0.00033512036,0.0001482637],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003677013,0.0009315481,0.00062063464,0.0008550032,0.0007927457,0.002181894,0.0014029358,0.0013606818,0.0019091871],"category_scores_gemma":[0.007998067,0.0005710821,0.001246239,0.00080729544,0.0011068507,0.002383,0.0024534774,0.0012044362,0.0001806286],"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":[0.000029439438,0.00009326259,0.0036725241,0.00007653704,0.00003890541,0.00010054206,0.00069667277,0.964067,0.0010674987,0.018948378,0.00012211494,0.011087212],"study_design_scores_gemma":[0.000013099906,0.00003888966,0.00037059066,0.00001857642,0.000012043847,0.000012506266,0.00020133701,0.98594075,0.00045890937,0.01191222,0.0010058689,0.000015192041],"about_ca_topic_score_codex":0.012369917,"about_ca_topic_score_gemma":0.014236257,"teacher_disagreement_score":0.012369917,"about_ca_system_score_codex":0.0017677214,"about_ca_system_score_gemma":0.002383484,"threshold_uncertainty_score":0.024595857},"labels":[],"label_agreement":null},{"id":"W4403260133","doi":"10.1016/j.indic.2024.100502","title":"Quantification of construction and demolition waste disposal behaviors during COVID-19 using satellite imagery","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Healthcare and Environmental Waste Management","field":"Medicine","cited_by":7,"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 Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Demolition; Demolition waste; Coronavirus disease 2019 (COVID-19); Satellite imagery; Satellite; Environmental science; 2019-20 coronavirus outbreak; Waste disposal; Waste management; Remote sensing; Civil engineering; Engineering; Geography","score_opus":0.011258786622097372,"score_gpt":0.2862589127348557,"score_spread":0.2750001261127583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403260133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942926,0.000039970426,0.0010759834,0.000030560204,0.0000020668654,0.000037689668,0.0022485813,0.000042358897,0.0022302454],"genre_scores_gemma":[0.99233234,0.00009059827,0.003856558,0.00001037677,0.000001766688,0.000022462656,0.0027428947,0.00000887937,0.0009341009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979883,0.000010894164,0.000008879271,0.00003423912,0.00008934069,0.000057872072],"domain_scores_gemma":[0.999777,0.00001814433,0.00006473613,0.000013380246,0.000101086654,0.00002570616],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019686266,0.0002731122,0.00014355907,0.0013111607,0.000344738,0.0006438752,0.00033831148,0.00018434637,0.0006112529],"category_scores_gemma":[0.00040751154,0.000117623844,0.00021738642,0.0018170988,0.0002857208,0.00020538784,0.00038153463,0.00017319896,0.00014126027],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008637998,0.000074510375,0.93587273,0.00007528134,0.000054568765,0.00017153368,0.00083944056,0.011257681,0.011419261,0.00035529456,0.0011510134,0.03864239],"study_design_scores_gemma":[0.0000024812236,0.000027498963,0.980053,0.00001630744,0.000014771967,0.00003774889,0.001668062,0.014746245,0.0020203975,0.00005092522,0.0013479345,0.000014576023],"about_ca_topic_score_codex":0.6410452,"about_ca_topic_score_gemma":0.84365284,"teacher_disagreement_score":0.6410452,"about_ca_system_score_codex":0.0020417462,"about_ca_system_score_gemma":0.0020462633,"threshold_uncertainty_score":0.72213745},"labels":[],"label_agreement":null},{"id":"W4403290057","doi":"10.1016/j.indic.2024.100500","title":"Loop analysis quantifying important species in a marine food web","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Isotope Analysis in Ecology","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":"Université de Montréal","funders":"HORIZON EUROPE Framework Programme; Ministero dell’Istruzione, dell’Università e della Ricerca","keywords":"Food web; Environmental science; Ecology; Biology; Oceanography; Fishery; Geology; Ecosystem","score_opus":0.0061732860095759234,"score_gpt":0.22628476148388257,"score_spread":0.22011147547430665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403290057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68904406,0.00022439219,0.30650327,0.00014199299,0.000018970606,0.00005767421,0.00055817585,0.00047730157,0.0029741374],"genre_scores_gemma":[0.9783789,0.000060303813,0.020990705,0.00001576518,0.0000116225065,0.00003084259,0.00019506211,0.00002573797,0.00029114823],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996927,0.00007451917,0.000025091898,0.000072056944,0.00010565243,0.000029938736],"domain_scores_gemma":[0.99547935,0.0031274832,0.0006681065,0.00025884993,0.0003187855,0.00014749175],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013578507,0.0003850873,0.00039111284,0.0026752136,0.00023183269,0.00088420307,0.00042082928,0.00034423714,0.0012386481],"category_scores_gemma":[0.0075649237,0.00014279781,0.00064768404,0.0007598976,0.0006527817,0.0012818646,0.0007630345,0.00046579368,0.00011312807],"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":[0.00021320688,0.000083698455,0.10492697,0.0001796783,0.00025511245,0.0001637121,0.00042892635,0.76748854,0.018363437,0.029101074,0.00063002115,0.07816576],"study_design_scores_gemma":[0.0000038747185,0.000058247595,0.016642626,0.000009546548,0.000022776307,0.000042731484,0.000055946224,0.95543516,0.0019421893,0.025437558,0.00032781012,0.000021594878],"about_ca_topic_score_codex":0.0017495838,"about_ca_topic_score_gemma":0.001039618,"teacher_disagreement_score":0.0026752136,"about_ca_system_score_codex":0.000521191,"about_ca_system_score_gemma":0.00026313443,"threshold_uncertainty_score":0.007181108},"labels":[],"label_agreement":null},{"id":"W4403973456","doi":"10.1016/j.indic.2024.100525","title":"A global comparative analysis of local recreation behaviors and values in peri-urban forests","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Urban Green Space and Health","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":"University of Toronto","funders":"","keywords":"Recreation; Peri; Geography; Environmental planning; Environmental resource management; Business; Environmental science; Ecology; Medicine; Biology","score_opus":0.006448585274377857,"score_gpt":0.2741476280146957,"score_spread":0.26769904274031786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403973456","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999201,0.000048453858,0.000025945326,0.000008650179,4.753621e-7,0.000002414988,0.000082984036,6.5408494e-7,0.0006295141],"genre_scores_gemma":[0.9997174,0.00003769306,0.00003319992,0.0000037688258,5.529683e-7,0.000002691114,0.000117360745,4.7528627e-7,0.00008683077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973947,0.00009315316,0.000011737905,0.00003750939,0.000033350443,0.000084801875],"domain_scores_gemma":[0.9995297,0.00011228574,0.00015380331,0.000040429997,0.000069051806,0.00009463761],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004990715,0.00012352644,0.00015217807,0.001321826,0.0004299665,0.00054229243,0.00013014731,0.00017192856,0.0015113861],"category_scores_gemma":[0.0007128776,0.000065604436,0.00024759356,0.0022473114,0.00050581805,0.0006545238,0.0005510568,0.00016015836,0.00012924611],"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":[0.0001321318,0.0000685375,0.9800931,0.000054317767,0.00005864671,0.00017974053,0.005532088,0.00022658601,0.0010757801,0.00030093268,0.00015880406,0.01211943],"study_design_scores_gemma":[7.397455e-7,0.000033085962,0.99606246,0.0000036720198,0.00000483138,0.000036673915,0.00354284,0.00004554733,0.000031936288,0.000020199925,0.00021604158,0.000001950822],"about_ca_topic_score_codex":0.009413692,"about_ca_topic_score_gemma":0.030326549,"teacher_disagreement_score":0.009413692,"about_ca_system_score_codex":0.00043769766,"about_ca_system_score_gemma":0.00018994402,"threshold_uncertainty_score":0.018717766},"labels":[],"label_agreement":null},{"id":"W4404000672","doi":"10.1016/j.indic.2024.100526","title":"Indicators for monitoring and evaluating research-for-development: A critical review of a system in use","year":2024,"lang":"en","type":"review","venue":"Environmental and Sustainability Indicators","topic":"Higher Education Governance and Development","field":"Social 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":"Royal Roads University","funders":"Consortium of International Agricultural Research Centers; Royal Roads University","keywords":"Computer science; Risk analysis (engineering); Systems engineering; Medicine; Engineering","score_opus":0.11684016859886184,"score_gpt":0.4790186462356245,"score_spread":0.3621784776367627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404000672","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":"evaluation","model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":"evaluation","domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021362049,0.6941096,0.09841783,0.17534615,0.013928585,0.0017795988,0.0007638272,0.0007699511,0.012748286],"genre_scores_gemma":[0.06343721,0.5805953,0.31806678,0.023264652,0.0049152263,0.005431224,0.0012285407,0.00089117355,0.0021700205],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.5738999,0.22853316,0.081378564,0.015350871,0.097421505,0.0034160367],"domain_scores_gemma":[0.30211475,0.42685908,0.034058943,0.027424904,0.20446314,0.0050791847],"candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.39044347,0.0037542789,0.0076110726,0.04366728,0.006800288,0.028217254,0.007805579,0.007325077,0.002139287],"category_scores_gemma":[0.4916504,0.003233044,0.004499862,0.042235967,0.029063402,0.03469701,0.013890343,0.018414238,0.001522523],"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":[0.00016067876,0.00013971586,0.0042692386,0.05912124,0.0007582002,0.00020028246,0.00938408,0.0028538292,0.001298593,0.18915428,0.082391776,0.650268],"study_design_scores_gemma":[0.00005102521,0.0003452958,0.005556913,0.124435835,0.00071847014,0.0003643758,0.0051006936,0.0025014088,0.0019708972,0.067092225,0.7914102,0.00045263005],"about_ca_topic_score_codex":0.016496489,"about_ca_topic_score_gemma":0.013351661,"teacher_disagreement_score":0.60955656,"about_ca_system_score_codex":0.04509457,"about_ca_system_score_gemma":0.093113616,"threshold_uncertainty_score":0.7516917},"labels":[],"label_agreement":null},{"id":"W4405585813","doi":"10.1016/j.indic.2024.100562","title":"Comparative analysis of mesozooplankton size fraction structure in bivalve aquaculture embayments in Atlantic and Pacific Canadian coastal regions","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Marine Bivalve and Aquaculture Studies","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":true,"ca_institutions":"Dalhousie University; Fisheries and Oceans Canada","funders":"Fisheries and Oceans Canada; Natural Sciences and Engineering Research Council of Canada; Dairy Farmers of Ontario","keywords":"Oceanography; Fishery; Aquaculture; Geography; Environmental science; Geology; Fish <Actinopterygii>; Biology","score_opus":0.004135204364219376,"score_gpt":0.23318571654441178,"score_spread":0.2290505121801924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405585813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980914,0.00019143778,0.00008130808,0.000015970265,0.0000019560862,0.0000040132913,0.0009989764,0.0000050592735,0.0006100016],"genre_scores_gemma":[0.9976866,0.00018238167,0.00017040242,0.0000148382105,0.0000020277646,0.0000087955505,0.0014245675,0.0000036669437,0.0005066085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99976057,0.000010469722,0.000015367805,0.00007134806,0.00007101306,0.000071232884],"domain_scores_gemma":[0.999348,0.00003353313,0.00012986023,0.000026691125,0.00033423063,0.00012765019],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025423494,0.00027781978,0.00020982686,0.0017957166,0.0008139163,0.0007058969,0.00040511746,0.00017571507,0.00064395036],"category_scores_gemma":[0.0007140076,0.00016059435,0.00036774063,0.002061107,0.00031133063,0.00023228384,0.0005391861,0.00017075079,0.00009326103],"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":[0.000043365326,0.000004600983,0.9910278,0.000019602341,0.00005190358,0.000068927635,0.00075766805,0.00013319388,0.002849351,0.00003204947,0.00021989508,0.004791716],"study_design_scores_gemma":[1.2335028e-7,0.0000015119252,0.9997079,0.0000013930952,0.0000028292097,0.0000055621445,0.00015533071,0.000033809916,0.00002035728,9.2598407e-7,0.000069225876,9.594264e-7],"about_ca_topic_score_codex":0.8557017,"about_ca_topic_score_gemma":0.94927496,"teacher_disagreement_score":0.14429832,"about_ca_system_score_codex":0.002770515,"about_ca_system_score_gemma":0.0023049596,"threshold_uncertainty_score":0.2902962},"labels":[],"label_agreement":null},{"id":"W4405586220","doi":"10.1016/j.indic.2024.100560","title":"A model for institutional phosphorus damage costs: A case study at the University of Virginia","year":2024,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Phosphorus and nutrient management","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":"McGill University; Environment and Climate Change Canada","funders":"University of Virginia","keywords":"Phosphorus; Environmental science; Engineering; Materials science; Metallurgy","score_opus":0.005110412552987418,"score_gpt":0.2104790531099688,"score_spread":0.2053686405569814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405586220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8283117,0.0005547543,0.08510052,0.004025646,0.00014013241,0.00056198635,0.0026510758,0.00031467833,0.0783395],"genre_scores_gemma":[0.965716,0.00026015932,0.017325984,0.00016061339,0.000027432283,0.0002951395,0.0005476937,0.00005323331,0.015613847],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9992347,0.00027929427,0.000024766161,0.00011096534,0.00008665849,0.0002635928],"domain_scores_gemma":[0.99740195,0.0016297734,0.0002123833,0.000092219605,0.0003750374,0.00028868593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015447248,0.0008314046,0.0007200025,0.0015414872,0.0018476167,0.0034383293,0.0026170264,0.003355376,0.009012393],"category_scores_gemma":[0.004448815,0.0006751512,0.0014373214,0.0016401473,0.001023527,0.0020488182,0.0018392735,0.0022578698,0.00043844458],"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":[0.000058226946,0.00015338958,0.0051849154,0.000027284696,0.000026367368,0.000466375,0.00008532898,0.97119606,0.00017213142,0.017674878,0.0019638846,0.0029911147],"study_design_scores_gemma":[0.000039361374,0.000040458763,0.0010797604,0.000017767536,0.000019720283,0.00006219947,0.00024766513,0.9916688,0.00011354345,0.00474083,0.0019482359,0.000021743346],"about_ca_topic_score_codex":0.1905289,"about_ca_topic_score_gemma":0.1512841,"teacher_disagreement_score":0.1905289,"about_ca_system_score_codex":0.008123471,"about_ca_system_score_gemma":0.0039989064,"threshold_uncertainty_score":0.3788398},"labels":[],"label_agreement":null},{"id":"W4406115688","doi":"10.1016/j.indic.2025.100586","title":"Enhancing Canada's sustainable development goals: Leveraging neutrosophic programming for agenda 2030","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Biomolecular Interaction Centre, University of Canterbury; International Colour Association","keywords":"Sustainable development; Development (topology); Political science; Environmental planning; Business; Process management; Management science; Computer science; Environmental science; Engineering; Mathematics","score_opus":0.007638010162465117,"score_gpt":0.1966955361544458,"score_spread":0.18905752599198067,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406115688","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":[0.14026906,0.0044496953,0.62370366,0.030968554,0.0004274611,0.0012713472,0.002111962,0.00044732902,0.19635096],"genre_scores_gemma":[0.72116417,0.0025809836,0.2672181,0.0011443247,0.00005816425,0.00043469734,0.0006856061,0.000063259344,0.0066506476],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982527,0.00078118074,0.00004575872,0.0001309629,0.0004862353,0.00030304794],"domain_scores_gemma":[0.9982876,0.00071088504,0.000105343875,0.00004438534,0.0006624282,0.00018943497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036308374,0.0011178614,0.00060347264,0.0018242031,0.0018862733,0.0047214357,0.0010771464,0.00085206516,0.0021932789],"category_scores_gemma":[0.005100522,0.00025937925,0.0007824144,0.0026656585,0.0016296896,0.0016818879,0.0018369929,0.0018160804,0.00016647091],"study_design_candidate":"theoretical_or_conceptual","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":[0.00010279735,0.000104838335,0.004282043,0.00052072934,0.00009178867,0.00025386878,0.00070377986,0.6425605,0.0010209288,0.2566341,0.013715653,0.08000901],"study_design_scores_gemma":[0.00003802154,0.000087360386,0.002888572,0.0003772758,0.000064731365,0.000035573285,0.0020831146,0.7465871,0.0012182607,0.21819948,0.02834288,0.00007757459],"about_ca_topic_score_codex":0.594067,"about_ca_topic_score_gemma":0.72224647,"teacher_disagreement_score":0.40593302,"about_ca_system_score_codex":0.023905959,"about_ca_system_score_gemma":0.055384845,"threshold_uncertainty_score":0.8166473},"labels":[],"label_agreement":null},{"id":"W4406642070","doi":"10.1016/j.indic.2025.100606","title":"A framework for integrating sustainable production practices along the product life cycle","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Sustainable Supply Chain Management","field":"Business, Management and Accounting","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":"University of Guelph","funders":"","keywords":"Production (economics); Product lifecycle; Sustainable production; Product (mathematics); Life-cycle assessment; Process management; Business; Environmental science; New product development; Economics; Mathematics; Marketing","score_opus":0.006367286912302525,"score_gpt":0.24298398140367727,"score_spread":0.23661669449137473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406642070","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.004050549,0.0024585167,0.8205114,0.015857838,0.00042766807,0.0011956057,0.00051503145,0.00035610565,0.15462731],"genre_scores_gemma":[0.1179992,0.0032529444,0.8644163,0.001417274,0.00015851113,0.0017251634,0.000438957,0.0000955707,0.010496018],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99297416,0.0036298917,0.0005595067,0.0007094604,0.0016513133,0.0004756766],"domain_scores_gemma":[0.99633276,0.0012216645,0.00044388778,0.00042894806,0.0012313619,0.00034144655],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01091483,0.0021218976,0.00072966743,0.0057955985,0.003466924,0.009586014,0.0033024382,0.004203379,0.004420489],"category_scores_gemma":[0.005993133,0.00072933023,0.0019663863,0.004126866,0.009245366,0.009524149,0.0043919445,0.00410878,0.001452196],"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":[0.0000033520141,0.000034844583,0.00025761616,0.00011717528,0.000008285442,0.00007910576,0.00051267847,0.0056052734,0.00022429027,0.9785752,0.0016946754,0.012887445],"study_design_scores_gemma":[0.00001258799,0.00008512284,0.00065654836,0.0008377321,0.000022122213,0.00016107311,0.0015271652,0.010534912,0.0004885185,0.755379,0.23024067,0.000054546974],"about_ca_topic_score_codex":0.019452859,"about_ca_topic_score_gemma":0.020618532,"teacher_disagreement_score":0.019452859,"about_ca_system_score_codex":0.011069232,"about_ca_system_score_gemma":0.019386794,"threshold_uncertainty_score":0.080313325},"labels":[],"label_agreement":null},{"id":"W4407955413","doi":"10.1016/j.indic.2025.100640","title":"Connecting the water footprint with the water-energy-food-ecosystems nexus concept and its added value in the Mediterranean","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Water-Energy-Food Nexus Studies","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mediterranean climate; Nexus (standard); Ecological footprint; Footprint; Environmental science; Water use; Ecosystem; Value (mathematics); Water energy; Carbon footprint; Natural resource economics; Water-energy nexus; Environmental resource management; Geography; Environmental protection; Sustainability; Water resource management; Ecology; Economics; Engineering; Computer science; Biology; Greenhouse gas","score_opus":0.0046849261792250236,"score_gpt":0.18818591220339906,"score_spread":0.18350098602417403,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407955413","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8596901,0.0046044597,0.03209005,0.0074377544,0.00015896517,0.0000651361,0.00043725743,0.000065428714,0.09545083],"genre_scores_gemma":[0.9958263,0.0006666481,0.0028904455,0.00015471461,0.000032436346,0.000015006276,0.00004306554,0.000010177409,0.0003612614],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99931824,0.0003285524,0.000027455444,0.0000819229,0.00018396106,0.000059935493],"domain_scores_gemma":[0.99880445,0.00044598733,0.00024736137,0.00012782724,0.00027793238,0.0000964199],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013215723,0.00029620976,0.00026245145,0.0011779458,0.000305475,0.0020572236,0.00038852397,0.00040558286,0.0011133023],"category_scores_gemma":[0.0039322404,0.000090510024,0.00026078348,0.0015639277,0.0021373944,0.0033203284,0.0019092881,0.00046442196,0.0000784539],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017165956,0.00008796448,0.26160017,0.0008390772,0.000305524,0.0007703489,0.012049543,0.017814418,0.0044522067,0.24591292,0.0056887516,0.45030734],"study_design_scores_gemma":[0.000016073225,0.00019642354,0.40638065,0.0010257963,0.00016725094,0.00042388093,0.030097883,0.028395649,0.0032153395,0.41863453,0.11133816,0.0001083693],"about_ca_topic_score_codex":0.005087728,"about_ca_topic_score_gemma":0.007460385,"teacher_disagreement_score":0.005087728,"about_ca_system_score_codex":0.0016784958,"about_ca_system_score_gemma":0.0008401757,"threshold_uncertainty_score":0.012178421},"labels":[],"label_agreement":null},{"id":"W4410461115","doi":"10.1016/j.indic.2025.100721","title":"Impact of perceptions of climate variability on investment decisions pattern among smallholder rice farmers in Nigeria","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Agricultural risk and resilience","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":"Dalhousie University","funders":"","keywords":"Investment (military); Business; Perception; Agricultural economics; Climate change; Natural resource economics; Agricultural science; Agroforestry; Economics; Environmental science; Political science; Psychology","score_opus":0.0038668465342361347,"score_gpt":0.22792086283528745,"score_spread":0.22405401630105132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410461115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99979836,0.000012884902,0.000017914266,0.000016476646,5.3703684e-7,0.0000013978141,0.000006948358,1.2230107e-7,0.00014534233],"genre_scores_gemma":[0.99988985,0.000016729507,0.000017464288,0.0000029103983,3.144459e-7,0.0000010615404,0.00000371031,6.771533e-8,0.000067763234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997551,0.00010023209,0.000016655558,0.00003099578,0.000036435817,0.00006051122],"domain_scores_gemma":[0.99887043,0.00045338916,0.0004215737,0.000027407386,0.000076544195,0.0001507149],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049427006,0.00015186032,0.00012733944,0.00024677717,0.0003997234,0.0005146705,0.00011550832,0.00017858195,0.0015244031],"category_scores_gemma":[0.0014575842,0.000099707206,0.00012445917,0.00023984163,0.00035644407,0.00025562206,0.00030104083,0.00023194677,0.00007986013],"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":[0.000115021,0.00010189974,0.9872236,0.00002714365,0.00001641241,0.0004332968,0.0054825484,0.00018898708,0.0013171869,0.00010135304,0.000051320665,0.004941268],"study_design_scores_gemma":[0.00000256598,0.00017137738,0.9764781,0.000021085476,0.000010049043,0.00012642602,0.022079507,0.0004915305,0.00024543641,0.00009785054,0.000268634,0.0000073402957],"about_ca_topic_score_codex":0.0051963883,"about_ca_topic_score_gemma":0.012612585,"teacher_disagreement_score":0.0051963883,"about_ca_system_score_codex":0.0003557907,"about_ca_system_score_gemma":0.00036053092,"threshold_uncertainty_score":0.010332286},"labels":[],"label_agreement":null},{"id":"W4411991344","doi":"10.1016/j.indic.2025.100782","title":"Concepts, Methods, and Parameters: A scoping review of tools for assessing food system sustainability","year":2025,"lang":"en","type":"review","venue":"Environmental and Sustainability Indicators","topic":"Agriculture Sustainability and Environmental Impact","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Chartered Society of Forensic Sciences; Trust for Mutual Understanding","keywords":"Sustainability; Computer science; Risk analysis (engineering); Business; Biology; Ecology","score_opus":0.021777858787653016,"score_gpt":0.3691095463547339,"score_spread":0.3473316875670809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411991344","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":[0.000509004,0.9894879,0.003978939,0.002109903,0.0005772107,0.0011023899,0.0003925944,0.000037816564,0.0018042042],"genre_scores_gemma":[0.006097005,0.97573406,0.012179971,0.0010676277,0.0001647037,0.003993146,0.00050009834,0.000040173094,0.00022318334],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.89930624,0.04166173,0.038511463,0.003977102,0.0154651115,0.0010783396],"domain_scores_gemma":[0.7122181,0.2374228,0.019674353,0.0056961845,0.024045028,0.0009435801],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.116735965,0.0039114705,0.0074988427,0.053606816,0.0031323663,0.013074076,0.005180833,0.005174241,0.004446131],"category_scores_gemma":[0.28122792,0.0028910253,0.0077831363,0.045585625,0.005646485,0.013766111,0.0076737027,0.0056372904,0.0010457843],"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":[0.00009808409,0.000045260786,0.00068560726,0.6384135,0.0013509059,0.000117933036,0.0029533098,0.0005580355,0.00035469758,0.012468352,0.0076196142,0.3353347],"study_design_scores_gemma":[0.000019509802,0.00004332734,0.0005511102,0.93145525,0.00218361,0.00010928546,0.00091662735,0.00014662316,0.00017078215,0.0045334017,0.059831336,0.00003923508],"about_ca_topic_score_codex":0.010592975,"about_ca_topic_score_gemma":0.021248467,"teacher_disagreement_score":0.116735965,"about_ca_system_score_codex":0.014159015,"about_ca_system_score_gemma":0.052658264,"threshold_uncertainty_score":0.6173662},"labels":[],"label_agreement":null},{"id":"W4412451803","doi":"10.1016/j.indic.2025.100789","title":"Mapping socio-institutional studies of biodiversity governance and climate change justice in wetland ecosystems","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Conservation, Biodiversity, and Resource Management","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 Victoria","funders":"Tarbiat Modares University","keywords":"Wetland; Biodiversity; Climate change; Corporate governance; Environmental justice; Ecosystem; Environmental resource management; Geography; Political science; Environmental planning; Business; Ecology; Environmental science; Biology","score_opus":0.011162804963091504,"score_gpt":0.21792152465910417,"score_spread":0.20675871969601267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412451803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91720897,0.027303394,0.0028756566,0.0023442877,0.00008287753,0.000113133865,0.00513055,0.000051271036,0.044889886],"genre_scores_gemma":[0.9869502,0.008923483,0.0013149423,0.00007247932,0.00006447662,0.000053696913,0.0017634452,0.000010555374,0.0008466151],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99835485,0.00054771174,0.00030577983,0.00018672936,0.00044149443,0.00016340373],"domain_scores_gemma":[0.9833627,0.008624897,0.0048267622,0.0007545359,0.0019727661,0.00045828355],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022260658,0.00011680144,0.00022759996,0.047756314,0.0010761275,0.0026989907,0.00030846894,0.00039460554,0.002460136],"category_scores_gemma":[0.014293632,0.00008528329,0.00035999616,0.08206894,0.0011897308,0.0040272684,0.0016366933,0.0002645217,0.00022432116],"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":[0.000051134317,0.00008699651,0.7135177,0.0042934185,0.00029137984,0.0007054531,0.022018967,0.0013650019,0.0009954277,0.04228942,0.0057848366,0.20860022],"study_design_scores_gemma":[0.000004420819,0.000038088172,0.9013421,0.0015398277,0.00013925444,0.00034585228,0.034563914,0.0015046446,0.00052175694,0.007008975,0.052962154,0.00002909788],"about_ca_topic_score_codex":0.011215112,"about_ca_topic_score_gemma":0.018432688,"teacher_disagreement_score":0.047756314,"about_ca_system_score_codex":0.0025076484,"about_ca_system_score_gemma":0.002633889,"threshold_uncertainty_score":0.022299707},"labels":[],"label_agreement":null},{"id":"W4413049761","doi":"10.1016/j.indic.2025.100839","title":"Ecosystem integrity assessment of Gwangneung deciduous old-growth forest, a UNESCO biosphere reserve: A thermodynamic perspective","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Sustainability and Ecological Systems Analysis","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":"Future Earth","funders":"National Institute of Forest Science","keywords":"Biosphere; Deciduous; Nature reserve; Perspective (graphical); Forest ecology; Ecology; Ecosystem; Geography; Environmental resource management; Environmental science; Forestry; Agroforestry; Biology","score_opus":0.003097465438983832,"score_gpt":0.24044332794165937,"score_spread":0.23734586250267553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413049761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982444,0.00014466555,0.00034132414,0.000022066008,0.000001909139,0.000007318967,0.0005719602,0.0000071751742,0.0006591004],"genre_scores_gemma":[0.9987251,0.000037951486,0.00032113606,0.000006696504,0.0000015755346,0.000008314151,0.00080676447,0.0000028958625,0.000089534435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982244,0.000032940028,0.000024587836,0.00003914434,0.00004236866,0.000038636637],"domain_scores_gemma":[0.99946755,0.000087075874,0.0001627701,0.000055751312,0.00015383583,0.00007306264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009953637,0.00019362646,0.00023023524,0.002039341,0.00047680284,0.0007072223,0.00036487344,0.00027174572,0.00029985583],"category_scores_gemma":[0.0011194209,0.00011494083,0.00032451228,0.0012752218,0.0004085195,0.0008821927,0.0005150096,0.00020644983,0.000053806583],"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":[0.00013893993,0.000080986385,0.950491,0.000094438554,0.00011947116,0.0005258019,0.0007518073,0.016634468,0.01452445,0.00064991653,0.0005134709,0.015475187],"study_design_scores_gemma":[0.0000023334414,0.000029644663,0.9803601,0.000018684177,0.000031078303,0.00014177735,0.00065438566,0.016332362,0.0013816558,0.00021657176,0.00081053353,0.0000209566],"about_ca_topic_score_codex":0.030748911,"about_ca_topic_score_gemma":0.04889293,"teacher_disagreement_score":0.030748911,"about_ca_system_score_codex":0.000914344,"about_ca_system_score_gemma":0.0003872302,"threshold_uncertainty_score":0.061139822},"labels":[],"label_agreement":null},{"id":"W4413345277","doi":"10.1016/j.indic.2025.100867","title":"Tropical artificial rural and urban ponds are net sources of carbon dioxide and methane in Rwanda, East Africa","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Atmospheric and Environmental Gas Dynamics","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":"Western University","funders":"Institut de Recerca de l'Aigua; Agència de Gestió d'Ajuts Universitaris i de Recerca","keywords":"Carbon dioxide; Methane; Environmental science; Geography; Environmental protection; Ecology; Biology","score_opus":0.0026254128263720534,"score_gpt":0.18418936542618003,"score_spread":0.18156395259980798,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413345277","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992224,0.0000793838,0.00012321696,0.0000107752585,0.0000014161533,0.0000078652865,0.000038532853,0.0000040504597,0.0005123597],"genre_scores_gemma":[0.9991792,0.00009949305,0.00038871463,0.0000062195727,0.0000014999424,0.000013127667,0.00003287701,0.0000014511635,0.0002774248],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99979025,0.000061478844,0.000015065205,0.000041834028,0.000025428415,0.00006603238],"domain_scores_gemma":[0.99972063,0.00005028516,0.0001443678,0.000018177217,0.000035486977,0.00003106467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030496693,0.0002381656,0.00017558344,0.0004153924,0.00051542657,0.00061062403,0.00019083118,0.00013009134,0.00082666206],"category_scores_gemma":[0.0003999456,0.00023274538,0.00015210392,0.00052841514,0.0008824836,0.0004901654,0.00055413146,0.00012283928,0.00011540483],"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":[0.00081884913,0.00017642566,0.7864665,0.00037350503,0.00009366938,0.0020747173,0.0042191283,0.0014034539,0.16550104,0.0011465537,0.0003554609,0.037370805],"study_design_scores_gemma":[0.000019525694,0.00029783507,0.98901564,0.000030063786,0.000043371936,0.00052024215,0.0032159963,0.0008161028,0.0041636783,0.00011176647,0.0017526766,0.00001307406],"about_ca_topic_score_codex":0.0054043466,"about_ca_topic_score_gemma":0.020345416,"teacher_disagreement_score":0.0054043466,"about_ca_system_score_codex":0.00056053174,"about_ca_system_score_gemma":0.00047216215,"threshold_uncertainty_score":0.010745764},"labels":[],"label_agreement":null},{"id":"W4413869962","doi":"10.1016/j.indic.2025.100898","title":"Quantification of E-waste collection count at household level","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Recycling and Waste Management Techniques","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":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Household waste; Environmental science; Waste management; Engineering","score_opus":0.009240827396997086,"score_gpt":0.22570354354676128,"score_spread":0.2164627161497642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413869962","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8675106,0.0010157566,0.021990998,0.0002423175,0.000049428123,0.0012998536,0.057273973,0.00048591534,0.050131176],"genre_scores_gemma":[0.92530984,0.00095068273,0.027180709,0.00014790468,0.000017664948,0.0012758008,0.025835484,0.00005428654,0.019227717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977071,0.0002197126,0.00013026259,0.00029922632,0.0013618952,0.00028172214],"domain_scores_gemma":[0.99740535,0.0002145474,0.00029825105,0.00014821153,0.0018239382,0.00010976711],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00096675893,0.00044980957,0.0004191723,0.0052042976,0.00074752275,0.0015615871,0.0009550446,0.00034001435,0.0039438126],"category_scores_gemma":[0.002145502,0.00017713217,0.00041936297,0.008281175,0.00047903828,0.00043316174,0.0010073627,0.00032518027,0.0009843981],"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":[0.00010918726,0.00008637589,0.87851423,0.00058808975,0.00020467519,0.00023562644,0.0028453313,0.00230311,0.008358277,0.0014905306,0.0063564135,0.09890822],"study_design_scores_gemma":[0.000003602901,0.00007061147,0.9676183,0.00011089819,0.000056665023,0.0001467395,0.0048284708,0.002472448,0.005028288,0.00034969338,0.019274568,0.000039698472],"about_ca_topic_score_codex":0.38397408,"about_ca_topic_score_gemma":0.5354813,"teacher_disagreement_score":0.38397408,"about_ca_system_score_codex":0.0035281477,"about_ca_system_score_gemma":0.0025652852,"threshold_uncertainty_score":0.76347816},"labels":[],"label_agreement":null},{"id":"W4415017211","doi":"10.1016/j.indic.2025.100968","title":"Livelihoods as mediators: Unraveling the ecosystem services-human well-being nexus in the desert steppe of inner Mongolia, China","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Rangeland Management and Livestock Ecology","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":"McMaster University","funders":"Inner Mongolia Academy of Agricultural and Animal Husbandry Sciences; Natural Science Foundation of Inner Mongolia","keywords":"Livelihood; Ecosystem services; Natural capital; Nexus (standard); Ecosystem; Provisioning; Sustainable development; Pastoralism","score_opus":0.0013498036792930104,"score_gpt":0.2034279048282346,"score_spread":0.2020781011489416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415017211","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904746,0.0003789221,0.00013832485,0.00013377478,0.0000020461207,0.0000047355006,0.000038781047,0.0000013095246,0.00025464944],"genre_scores_gemma":[0.9995844,0.00013091006,0.00013660194,0.000017977223,0.0000014415923,0.000004744435,0.000043309432,4.098531e-7,0.00008017596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999754,0.000101914746,0.000010539638,0.00004215349,0.000021473279,0.0000700206],"domain_scores_gemma":[0.9997416,0.0000643767,0.00005524425,0.000013541297,0.00004718726,0.00007793594],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007647903,0.00032701172,0.000255367,0.00079606584,0.00057942286,0.0009224895,0.00036487918,0.00024551433,0.00071590923],"category_scores_gemma":[0.0005319174,0.00015570864,0.0003602473,0.00076822634,0.00053556485,0.00073249533,0.000989519,0.00031363437,0.000030008452],"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":[0.000036465957,0.00006468744,0.97217077,0.00012747379,0.00020106781,0.0004587289,0.009007393,0.00090179825,0.0010001202,0.001597702,0.00021656288,0.014217266],"study_design_scores_gemma":[0.000003775041,0.000036155867,0.986797,0.000049344053,0.00007890467,0.00004256734,0.0093459645,0.002154603,0.00010897613,0.0005905076,0.0007822414,0.000010005891],"about_ca_topic_score_codex":0.07648777,"about_ca_topic_score_gemma":0.119551904,"teacher_disagreement_score":0.07648777,"about_ca_system_score_codex":0.0013829699,"about_ca_system_score_gemma":0.002023687,"threshold_uncertainty_score":0.15208513},"labels":[],"label_agreement":null},{"id":"W4415020605","doi":"10.1016/j.indic.2025.100970","title":"Water–energy–food nexus Research: What can it tell us about governance and policy?","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wilfrid Laurier University","funders":"International Development Research Centre","keywords":"Nexus (standard); Corporate governance; Stakeholder; Scarcity; Stakeholder engagement; Resource (disambiguation); Accountability; Multi-level governance","score_opus":0.008195677189524048,"score_gpt":0.24230569148932757,"score_spread":0.23411001429980352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415020605","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":[0.005515427,0.93854994,0.002502482,0.043543532,0.0014721388,0.00022683044,0.0011814025,0.00002197014,0.00698639],"genre_scores_gemma":[0.12504436,0.8473102,0.0072207483,0.015968686,0.0012935846,0.0013856315,0.0010834227,0.000051625233,0.0006417583],"study_design_codex":"systematic_review","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9128379,0.054290183,0.0139334705,0.0053156265,0.011536732,0.0020860927],"domain_scores_gemma":[0.66628784,0.28278655,0.025737017,0.009011091,0.014716092,0.0014612975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.07786193,0.0011079109,0.00497989,0.0145963095,0.002196533,0.012256539,0.0028984284,0.006240422,0.006112859],"category_scores_gemma":[0.28741655,0.0015602465,0.0045369132,0.023817936,0.008135957,0.025009265,0.005131744,0.0044716774,0.001091555],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004329825,0.00010882578,0.015942171,0.57043403,0.00647353,0.0005682216,0.012398455,0.0014115595,0.00055676274,0.0826508,0.028470472,0.28055212],"study_design_scores_gemma":[0.00018952716,0.00019402867,0.017203748,0.6613997,0.0052266037,0.00046118672,0.015266771,0.00041888538,0.00062849076,0.066093996,0.2327742,0.00014279244],"about_ca_topic_score_codex":0.0147049455,"about_ca_topic_score_gemma":0.017755482,"teacher_disagreement_score":0.07786193,"about_ca_system_score_codex":0.009199837,"about_ca_system_score_gemma":0.03202768,"threshold_uncertainty_score":0.41177815},"labels":[],"label_agreement":null},{"id":"W4415535635","doi":"10.1016/j.indic.2025.100995","title":"Soil quality changes along an agroecological transition: Evidence from natural farming in Madhya Pradesh, India","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Agriculture, Land Use, Rural Development","field":"Agricultural and Biological Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Saudi Pharmaceutical Society","keywords":"Agroecology; Soil quality; Agriculture; Chronosequence; Soil carbon; Soil management; Sustainable agriculture; Soil biodiversity; Natural farming","score_opus":0.008394018135055146,"score_gpt":0.23460027013381712,"score_spread":0.226206251998762,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415535635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999548,0.000042361637,0.000037616363,0.000024083565,9.661662e-7,0.000007334622,0.00012605355,0.0000023620867,0.00021111546],"genre_scores_gemma":[0.99944633,0.00009708216,0.00013534297,0.000029063634,0.0000021354563,0.000009964895,0.00019093153,0.000001238926,0.00008786734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99968183,0.00007691171,0.000027018741,0.00008720259,0.000053107982,0.000073828756],"domain_scores_gemma":[0.998804,0.00021301128,0.0004798995,0.00014692068,0.00019859929,0.00015753316],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025205643,0.00022536585,0.00017381243,0.0010356052,0.0007904793,0.0006358215,0.0006591386,0.0002730661,0.00045447898],"category_scores_gemma":[0.00070242974,0.00023945456,0.00034250953,0.0017820039,0.0013633599,0.00037750942,0.0008216035,0.00031734962,0.00011905173],"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":[0.00009025165,0.000099168756,0.9844434,0.00007178724,0.00007983015,0.0006644466,0.0057368013,0.000092209346,0.0037771685,0.00007141945,0.00015896557,0.004714533],"study_design_scores_gemma":[9.782638e-7,0.00002860575,0.9984333,0.0000035385206,0.000006722826,0.00007750152,0.0012479266,0.000024397079,0.000066772904,0.000007716657,0.00009969222,0.0000027279802],"about_ca_topic_score_codex":0.067756854,"about_ca_topic_score_gemma":0.15843497,"teacher_disagreement_score":0.067756854,"about_ca_system_score_codex":0.0009315867,"about_ca_system_score_gemma":0.00088620756,"threshold_uncertainty_score":0.13472497},"labels":[],"label_agreement":null},{"id":"W4415900743","doi":"10.1016/j.indic.2025.101014","title":"The dynamics of social conflict and deforestation: Empirical evidence from the refugee crisis in southeast Bangladesh","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Asian Geopolitics and Ethnography","field":"Social 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 Guelph","funders":"Japan Society for the Promotion of Science London","keywords":"Livelihood; Deforestation (computer science); Social conflict; Refugee; Empirical evidence; Context (archaeology); Socioeconomic status; Sustainability; Citizen journalism; Grievance","score_opus":0.011142083220749213,"score_gpt":0.2983721019625706,"score_spread":0.28723001874182136,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415900743","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968015,0.0003099416,0.000054447693,0.00060080306,0.0000030266997,0.0000118624575,0.00020756507,8.1555487e-7,0.0020100926],"genre_scores_gemma":[0.9988262,0.00063336274,0.00004911972,0.00009997504,0.0000035265896,0.000017512455,0.00015135987,0.000001746248,0.00021706354],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918526,0.00037606858,0.00006589374,0.00007733233,0.00008408102,0.00021136555],"domain_scores_gemma":[0.99603635,0.0017037302,0.0012290253,0.00015087205,0.00040333273,0.00047663145],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012225553,0.00031021985,0.0003998661,0.001296536,0.00209368,0.0019111843,0.00051062723,0.00064266194,0.0044938424],"category_scores_gemma":[0.0052063614,0.00032018742,0.00023824508,0.0030715317,0.0023884464,0.0019188083,0.002464439,0.0012202546,0.00051827286],"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":[0.000117520314,0.00016843932,0.8524312,0.00022738584,0.00007983005,0.001952402,0.12626724,0.00029960665,0.00031693772,0.0016978802,0.001359549,0.015082082],"study_design_scores_gemma":[0.0000087902245,0.00006670985,0.58597344,0.00024639384,0.000022858017,0.00034371595,0.408512,0.00030839676,0.00006658616,0.00054467225,0.0038766356,0.000029730905],"about_ca_topic_score_codex":0.0564095,"about_ca_topic_score_gemma":0.10810327,"teacher_disagreement_score":0.0564095,"about_ca_system_score_codex":0.0019182649,"about_ca_system_score_gemma":0.0015850164,"threshold_uncertainty_score":0.11216235},"labels":[],"label_agreement":null},{"id":"W4416541286","doi":"10.1016/j.indic.2025.101037","title":"An analytical framework to quantify municipal solid waste disposal service inequality using three simple socioeconomic indicators","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Municipal Solid Waste Management","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Municipal solid waste; Index (typography); Socioeconomic status; Sustainability; Service (business); Distribution (mathematics); Household income; Solid waste management","score_opus":0.012469765312722123,"score_gpt":0.31053453878936327,"score_spread":0.2980647734766411,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416541286","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3500865,0.00095679046,0.6008255,0.0023139794,0.00012555315,0.0011612516,0.0058755693,0.00032616456,0.03832866],"genre_scores_gemma":[0.88618094,0.0002849319,0.10988086,0.000096625496,0.000052896186,0.0007760557,0.0014264174,0.000017497894,0.0012837469],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99829227,0.0008440753,0.00010983244,0.00022730329,0.00036166882,0.00016490539],"domain_scores_gemma":[0.9978975,0.0010100027,0.00043595093,0.000127694,0.00045139925,0.00007737908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026419708,0.00088732416,0.00053345866,0.007263445,0.00067778694,0.0021548436,0.00097506517,0.0005249465,0.002548271],"category_scores_gemma":[0.0072782994,0.00020428882,0.0011024331,0.0054769544,0.0009498586,0.0015008085,0.0020818876,0.000941081,0.0002567625],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000100519166,0.00052242214,0.38667879,0.00027654678,0.00046462132,0.0004260183,0.002465138,0.08544223,0.0016446279,0.36074084,0.0060807494,0.15515745],"study_design_scores_gemma":[0.000030565185,0.0003115632,0.16581728,0.0002756405,0.00017252959,0.00023345812,0.0062231314,0.66707754,0.00095959345,0.140039,0.018743008,0.000116715644],"about_ca_topic_score_codex":0.018517975,"about_ca_topic_score_gemma":0.015742369,"teacher_disagreement_score":0.018517975,"about_ca_system_score_codex":0.0020448724,"about_ca_system_score_gemma":0.0023570186,"threshold_uncertainty_score":0.036820352},"labels":[],"label_agreement":null},{"id":"W4417067159","doi":"10.1016/j.indic.2025.101073","title":"Wetland hydrologic dynamics and duck productivity are declining in the Prairie Pothole Region, and they are linked","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Avian ecology and behavior","field":"Environmental Science","cited_by":1,"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":"U.S. Geological Survey; U.S. Fish and Wildlife Service; Canadian Wildlife Federation; North Dakota Game and Fish Department","keywords":"Productivity; Wetland; Abundance (ecology); Ecosystem; Waterfowl; Climate change; Pothole (geology)","score_opus":0.004927959931564343,"score_gpt":0.22111924357956528,"score_spread":0.21619128364800094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417067159","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99737227,0.00014471226,0.0010080525,0.00017297671,0.000005912354,0.0000059948966,0.00044099573,0.000033770324,0.000815281],"genre_scores_gemma":[0.99905545,0.00008152061,0.00037989664,0.000014506302,0.0000032607804,0.0000031836532,0.00027684867,0.0000044652757,0.00018088415],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998196,0.00003408696,0.00001294232,0.00007708768,0.000022087677,0.000034192646],"domain_scores_gemma":[0.99957985,0.00008977623,0.00016848509,0.000048075843,0.00006433879,0.000049427028],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004406069,0.0002501269,0.0001750345,0.0003152472,0.0003159603,0.0009729188,0.0003234744,0.00028783566,0.0012804162],"category_scores_gemma":[0.0013700605,0.00025460654,0.0005654823,0.00046922112,0.0002980772,0.0006165345,0.0004736766,0.00037268086,0.00012375115],"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":[0.00002702141,0.00006665425,0.96317554,0.000053917232,0.00018299029,0.00011403203,0.00024380692,0.025036702,0.002231967,0.00053994264,0.00056966505,0.0077578207],"study_design_scores_gemma":[0.000007925924,0.000034177763,0.9204609,0.0000160459,0.00005668728,0.00008390879,0.00029641087,0.07715703,0.00020367806,0.00039817125,0.0012727028,0.000012381352],"about_ca_topic_score_codex":0.10193511,"about_ca_topic_score_gemma":0.15690464,"teacher_disagreement_score":0.10193511,"about_ca_system_score_codex":0.0008764359,"about_ca_system_score_gemma":0.00081024755,"threshold_uncertainty_score":0.20268357},"labels":[],"label_agreement":null},{"id":"W6940689257","doi":"10.1016/j.indic.2025.100802","title":"Soil health and management assessment kit (SOHMA KIT®): Development and validation for on-farm applications","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Mycorrhizal Fungi and Plant Interactions","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":"Carbon Engineering (Canada)","funders":"Instituto Federal Goiás; Fundação Agrisus; Universidade de São Paulo; Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Fundação de Amparo à Pesquisa do Estado de São Paulo; Spinal Muscular Atrophy Foundation; U.S. Department of Agriculture","keywords":"Soil health; Soil management; Soil quality; Cropping; Cover crop; Agriculture; Soil test; Soil functions; Soil structure","score_opus":0.004861985456249411,"score_gpt":0.23724633369362574,"score_spread":0.23238434823737633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940689257","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":[0.24314891,0.007666816,0.6472225,0.0010778592,0.0006403956,0.015286927,0.04393309,0.016263397,0.02475999],"genre_scores_gemma":[0.2128854,0.003575867,0.7276982,0.0005984642,0.00012873263,0.015407631,0.03098461,0.0016577075,0.00706339],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9919538,0.0021126983,0.0011950561,0.0008633238,0.0036435479,0.0002316362],"domain_scores_gemma":[0.98100364,0.0049860743,0.0023082402,0.0014751084,0.009848712,0.000378208],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.017003933,0.0013889419,0.0011007913,0.005280069,0.000537678,0.0014499789,0.0015944822,0.0013683288,0.0055973325],"category_scores_gemma":[0.023455046,0.0008012486,0.0013966126,0.0022632936,0.0008983193,0.0012273735,0.0017628428,0.0008954101,0.0038594622],"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":[0.0017545215,0.0019608021,0.0948974,0.011516775,0.0007577075,0.0010734696,0.0019704702,0.008225638,0.2524237,0.0041079777,0.02692163,0.59439],"study_design_scores_gemma":[0.00060631824,0.0052627507,0.29969063,0.0055146893,0.001537355,0.0030924412,0.0023990667,0.045290258,0.27241117,0.007201435,0.35634968,0.0006442908],"about_ca_topic_score_codex":0.002153834,"about_ca_topic_score_gemma":0.004168518,"teacher_disagreement_score":0.017003933,"about_ca_system_score_codex":0.0005546247,"about_ca_system_score_gemma":0.0025172243,"threshold_uncertainty_score":0.08992648},"labels":[],"label_agreement":null},{"id":"W7083286342","doi":"10.1016/j.indic.2025.100937","title":"Prediction and key drivers analysis of forest surface Dead Fine Fuel Moisture Content: A stacking ensemble learning and IoT-based system","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Particle Accelerators and Free-Electron Lasers","field":"Engineering","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":"Ministry of Energy, Northern Development and Mines","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Ensemble learning; Generalization; Ensemble forecasting; Bivariate analysis; Precipitation; Key (lock); Predictive modelling; Decision tree; Wind speed","score_opus":0.00405968096442418,"score_gpt":0.18412617838529172,"score_spread":0.18006649742086753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7083286342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.58145624,0.00077436084,0.410206,0.00053182855,0.00019435381,0.00012033134,0.0011609199,0.0015506909,0.00400526],"genre_scores_gemma":[0.9821504,0.00017324947,0.0155782085,0.000053600517,0.000035775924,0.000059873077,0.000824803,0.000017003136,0.0011071773],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99976,0.00002976583,0.000017495426,0.00009511232,0.000047209138,0.000050419054],"domain_scores_gemma":[0.9997483,0.00006448682,0.00003194058,0.000025265685,0.00010465137,0.000025355113],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069828297,0.0011580752,0.0008067425,0.00083640707,0.00045435707,0.0006862316,0.00073406065,0.00051290623,0.000757421],"category_scores_gemma":[0.00093576463,0.00028356066,0.00084408524,0.0005818379,0.00015199867,0.0008087245,0.00081987854,0.00068618095,0.00025982625],"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":[0.00022330796,0.00034856301,0.065776296,0.00007091142,0.0003049372,0.0003380221,0.00014243026,0.7399856,0.0058192764,0.0011130857,0.002705735,0.18317188],"study_design_scores_gemma":[0.0000016776314,0.000020275942,0.0028803253,0.0000032996816,0.000018769499,0.000011989382,0.00001250051,0.99630713,0.00038163966,0.00024612033,0.000110784364,0.0000054325824],"about_ca_topic_score_codex":0.015612091,"about_ca_topic_score_gemma":0.010506701,"teacher_disagreement_score":0.015612091,"about_ca_system_score_codex":0.0004822874,"about_ca_system_score_gemma":0.00053922925,"threshold_uncertainty_score":0.031042457},"labels":[],"label_agreement":null},{"id":"W7102391897","doi":"10.1016/j.indic.2025.101006","title":"Role of market and nonmarket-based environmental policies, energy use, and income on environmental sustainability: The case of G7 countries","year":2025,"lang":"en","type":"article","venue":"Environmental and Sustainability Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Renewable energy; Environmental impact assessment; Environmental policy; Energy (signal processing); Energy policy; Sustainability; Non-renewable resource","score_opus":0.0018003539808227297,"score_gpt":0.1978937528566935,"score_spread":0.19609339887587077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7102391897","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99396,0.00037091214,0.00081432017,0.0003597576,0.000015653824,0.000014976553,0.0004980054,0.000021834067,0.0039446475],"genre_scores_gemma":[0.99811673,0.0002993349,0.0005378212,0.000047958114,0.000007625967,0.0000091667425,0.000500438,0.000011737631,0.00046923963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994746,0.00020425026,0.000020815056,0.00006714468,0.000056093668,0.00017707077],"domain_scores_gemma":[0.9985158,0.00069336436,0.00026516797,0.00012431752,0.00028634633,0.00011492055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012570232,0.00055284053,0.0005480489,0.0012550749,0.00046840846,0.0018406291,0.0006828643,0.00086928415,0.0015811288],"category_scores_gemma":[0.0022806388,0.00019397089,0.0018029732,0.0013894036,0.00097514974,0.0011585806,0.0013943014,0.00096844457,0.00020681195],"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":[0.0003545398,0.00027222297,0.555759,0.00027536065,0.0008050914,0.006201358,0.0006879144,0.38301364,0.0012462931,0.026434738,0.005291048,0.019658808],"study_design_scores_gemma":[0.00008687042,0.00040804892,0.3896486,0.00038567398,0.0010929384,0.0006906394,0.012835899,0.5607558,0.003872771,0.012864736,0.01714253,0.00021554591],"about_ca_topic_score_codex":0.060294148,"about_ca_topic_score_gemma":0.033595305,"teacher_disagreement_score":0.060294148,"about_ca_system_score_codex":0.0012560447,"about_ca_system_score_gemma":0.0011466127,"threshold_uncertainty_score":0.1198864},"labels":[],"label_agreement":null}]}