{"meta":{"query_hash":"e6de177b9b09","filters":{"topic":"Environmental Impact and Sustainability"},"cohort_total":1268,"direct_labels_cover":7,"predictions_cover":1268,"exported":1268,"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/e6de177b9b09","api":"https://metacan.xera.ac/api/v1/cohort?topic=Environmental+Impact+and+Sustainability"},"results":[{"id":"W10383853","doi":"10.1007/s11367-013-0593-1","title":"The Quebec Life Cycle Inventory Database Project","year":2013,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Database; Data collection; Relational database; Prioritization; Work (physics); Engineering; Computer science; Process management","score_opus":0.01551815595226079,"score_gpt":0.304671335736267,"score_spread":0.2891531797840062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10383853","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793267,0.00010320049,0.00032641608,0.014462976,0.0005681269,0.00032368003,0.0000060835227,0.000010162128,0.004872653],"genre_scores_gemma":[0.996286,0.00012581983,0.00039436232,0.0019709968,0.00028834294,0.00002519887,0.0000039272445,0.000013695504,0.00089170807],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756503,0.0002226359,0.0005595913,0.00014865516,0.001234312,0.00026976247],"domain_scores_gemma":[0.99872285,0.0002297784,0.00043843867,0.0003454365,0.000054272426,0.00020922231],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012848236,0.00015004298,0.00014735317,0.00003558065,0.00025234392,0.00025786491,0.0013404979,0.00003378264,0.0018079726],"category_scores_gemma":[0.000287301,0.00008084046,0.00014487593,0.00008822852,0.0003702859,0.00083776884,0.0005833997,0.00034132687,0.0001680143],"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":[0.00043241752,0.0020765122,0.703434,0.000022913386,0.0010476845,0.000096615215,0.0029493608,0.018542556,0.008022845,0.0029325923,0.19057359,0.06986893],"study_design_scores_gemma":[0.0009611212,0.00015575283,0.94836676,0.00002658083,0.00003735749,0.000050493898,0.0047679734,0.010015106,0.00021168427,0.003922144,0.031256743,0.00022830257],"about_ca_topic_score_codex":0.007630154,"about_ca_topic_score_gemma":0.00087135634,"teacher_disagreement_score":0.24493276,"about_ca_system_score_codex":0.0009984844,"about_ca_system_score_gemma":0.00023773688,"threshold_uncertainty_score":0.9991045},"labels":[],"label_agreement":null},{"id":"W10751382","doi":"10.1007/978-94-007-1899-9_19","title":"LCA Characterisation of Freshwater Use on Human Health and Through Compensation","year":2011,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Unavailability; Context (archaeology); Human health; Agriculture; Business; Water quality; Natural resource economics; Environmental science; Environmental economics; Environmental planning; Environmental resource management; Engineering; Environmental health; Economics; Geography; Reliability engineering; Ecology","score_opus":0.07516478071787669,"score_gpt":0.2806441489841845,"score_spread":0.2054793682663078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W10751382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5410578,0.00001879966,0.000069281465,0.00019775186,0.000054815133,0.00070817256,0.00006238956,0.00003364045,0.45779735],"genre_scores_gemma":[0.71250653,0.00017644849,0.0005822528,0.0011607957,0.000027244012,0.0000055942155,0.00026312534,0.00004224252,0.28523576],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99892545,0.000029300478,0.0003282761,0.00031245043,0.00023787223,0.00016665805],"domain_scores_gemma":[0.99931633,0.000019592604,0.00024654288,0.00031400713,0.0000037647083,0.000099775825],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013732075,0.00021857921,0.0002713685,0.000026705287,0.00009997214,0.00001669776,0.00008080244,0.00014621302,0.010206317],"category_scores_gemma":[0.0000058638134,0.00018194401,0.000055552293,0.000008965864,0.00033622378,0.00032603298,0.00012694237,0.0001457619,0.00014177184],"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":[0.00071576796,0.0014263969,0.409258,0.00092978566,0.00026010867,0.00002681516,0.043992024,0.000038571718,0.010100326,0.45294055,0.022017816,0.058293827],"study_design_scores_gemma":[0.00075900275,0.0021796583,0.69497746,0.00016225429,0.000041497435,0.000007565625,0.00020320533,0.00002193013,0.0021922807,0.08335604,0.215171,0.0009281084],"about_ca_topic_score_codex":0.0018547914,"about_ca_topic_score_gemma":0.00068797584,"teacher_disagreement_score":0.36958453,"about_ca_system_score_codex":0.00032130512,"about_ca_system_score_gemma":0.0000068349,"threshold_uncertainty_score":0.9906985},"labels":[],"label_agreement":null},{"id":"W1101579636","doi":"10.1007/s11676-015-0132-y","title":"Life cycle environmental impact assessment of biochar-based bioenergy production and utilization in Northwestern Ontario, Canada","year":2015,"lang":"en","type":"article","venue":"Journal of Forestry Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Forest Research Institute; Lakehead University","funders":"Ministry of Education, India; Ministry of Earth Sciences","keywords":"Biochar; Bioenergy; Life-cycle assessment; Environmental science; Greenhouse gas; Biomass (ecology); Tonne; Raw material; Fossil fuel; Carbon sequestration; Agroforestry; Waste management; Biofuel; Environmental engineering; Production (economics); Agronomy; Carbon dioxide; Engineering; Pyrolysis; Chemistry; Ecology","score_opus":0.05565552627727283,"score_gpt":0.35138809211050526,"score_spread":0.29573256583323243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1101579636","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99923635,0.00006614422,0.00002096043,0.00029141817,0.000059846316,0.00016951836,0.000006337698,0.0000012135544,0.00014819755],"genre_scores_gemma":[0.9996197,0.000019618288,0.00020508599,0.000019496078,0.000026734193,0.0000030488216,0.000006651271,0.000008643089,0.00009101413],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99779207,0.00020220099,0.0003992552,0.00017026642,0.0011383939,0.00029784546],"domain_scores_gemma":[0.9990706,0.000042541487,0.0001779796,0.0002309145,0.000022249427,0.0004557324],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014292918,0.00010880463,0.00018959209,0.00011609497,0.000055412132,0.000019918849,0.00021163798,0.000057757316,0.00044180907],"category_scores_gemma":[0.00021370754,0.000087760876,0.000041977102,0.00020451764,0.0003191069,0.0003278753,0.00016591843,0.0003375049,0.0000011948931],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001236285,0.00027848835,0.971047,0.0000109264265,0.000009223652,0.00002509072,0.00040678523,0.024620777,0.002341278,0.0000011389089,0.000486713,0.00064897694],"study_design_scores_gemma":[0.0005159956,0.00061622105,0.9936282,0.000020586467,0.0000050389235,0.00002145585,0.0011706755,0.0015136959,0.0021262139,0.00015595226,0.00014850934,0.00007748084],"about_ca_topic_score_codex":0.7030789,"about_ca_topic_score_gemma":0.8174514,"teacher_disagreement_score":0.11437252,"about_ca_system_score_codex":0.0038852976,"about_ca_system_score_gemma":0.0012679774,"threshold_uncertainty_score":0.9999386},"labels":[],"label_agreement":null},{"id":"W11110736","doi":"","title":"Les sources de la croissance des emissions de CO2 du secteur canadien des entreprises, 1990 a 1996","year":2003,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Economics; Environmental science","score_opus":0.018786703847190285,"score_gpt":0.2880187104403671,"score_spread":0.2692320065931768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W11110736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9242291,0.0007312541,0.00001673516,0.0003452654,0.000079496414,0.00071309286,0.00009784745,0.000031428048,0.07375581],"genre_scores_gemma":[0.9621592,0.021350855,0.0031817476,0.000077246565,0.00009027583,0.00018392345,0.000022338307,0.00008606399,0.012848329],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99280554,0.0023542875,0.0007261058,0.0013429257,0.00036585476,0.0024052763],"domain_scores_gemma":[0.99596035,0.0013820898,0.00020390554,0.0011237542,0.000023805063,0.0013060664],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004954501,0.0005909924,0.0006030902,0.00017662703,0.0012647155,0.00029592673,0.0011551786,0.00075547496,0.0034043612],"category_scores_gemma":[0.00220569,0.0006580526,0.00028356974,0.00024280672,0.0075611505,0.00029157917,0.0015328581,0.00215695,0.000052517793],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000071931725,0.0004750403,0.8403427,0.00019651871,0.00005494941,0.00021002018,0.0062546562,0.038856596,0.0014194726,0.00019024198,0.00009887882,0.11182902],"study_design_scores_gemma":[0.00048786288,0.00013120616,0.92452073,0.00022354755,0.000021999422,0.00019064709,0.0063010035,0.0024167786,0.0013443985,0.006760181,0.05696752,0.0006341309],"about_ca_topic_score_codex":0.09904526,"about_ca_topic_score_gemma":0.055104468,"teacher_disagreement_score":0.111194886,"about_ca_system_score_codex":0.022564955,"about_ca_system_score_gemma":0.0007214367,"threshold_uncertainty_score":0.99958706},"labels":[],"label_agreement":null},{"id":"W1124337101","doi":"10.1007/978-94-015-9343-4_66","title":"Suitability of Non-Energy Greenhouse Gases for Emissions Trading","year":2000,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"World Wildlife Fund Canada","funders":"","keywords":"Greenhouse gas; Waste management; Environmental science; Nitrous oxide; Smelting; Lime; Methane; Coal; Fossil fuel; Emissions trading; Fertilizer; Chemistry; Engineering; Metallurgy","score_opus":0.014750517878017571,"score_gpt":0.23941636981859918,"score_spread":0.2246658519405816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1124337101","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020968616,0.00005125716,0.0009659852,0.00007462582,0.00004773482,0.0005601086,0.00015100562,0.000046928446,0.97713375],"genre_scores_gemma":[0.52289927,0.00009471779,0.0010184882,0.000111081594,0.00003769008,0.000023326334,0.00004515206,0.000056046603,0.47571424],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99831176,0.000014305335,0.0004717273,0.0005224862,0.00031828578,0.00036140945],"domain_scores_gemma":[0.9988377,0.00015265458,0.00014465487,0.0006156655,0.000005462561,0.0002438626],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020817188,0.00035581234,0.00045517567,0.00004125114,0.00014857002,0.000011488625,0.0003020111,0.0002847789,0.044007264],"category_scores_gemma":[0.000029723858,0.0003050645,0.00036801293,0.000028604703,0.00052070053,0.0001552158,0.0001553348,0.00014336896,0.00004555021],"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":[0.0019531455,0.003981136,0.13397124,0.0015249501,0.00067962863,0.00009648064,0.0032407905,0.0017283029,0.02266957,0.05320792,0.1150164,0.66193044],"study_design_scores_gemma":[0.0018570593,0.0014949999,0.04061473,0.0002142263,0.00042801915,0.000025318579,0.0002967216,0.0022451018,0.015306274,0.30884886,0.6259836,0.002685097],"about_ca_topic_score_codex":0.00074690214,"about_ca_topic_score_gemma":0.0002347251,"teacher_disagreement_score":0.6592453,"about_ca_system_score_codex":0.00046220294,"about_ca_system_score_gemma":0.000025069987,"threshold_uncertainty_score":0.99994016},"labels":[],"label_agreement":null},{"id":"W1130339602","doi":"10.1520/stp157420130089","title":"Design Considerations for Sustainable Extruded Polystyrene (XPS) Thermal Insulation","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","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":"Dow Chemical (Canada)","funders":"","keywords":"Expanded polystyrene; Polystyrene; Materials science; X-ray photoelectron spectroscopy; Composite material; Thermal insulation; Chemical engineering; Polymer; Engineering","score_opus":0.024586737317939866,"score_gpt":0.23346516926064687,"score_spread":0.208878431942707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1130339602","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.002485407,0.000059638794,0.09656852,0.00038724055,0.000068792535,0.002813503,0.000012690774,0.00012688854,0.8974773],"genre_scores_gemma":[0.25408134,0.000009002328,0.0067094513,0.00044225992,0.00007399949,0.00008124303,0.00004109516,0.00006336165,0.7384982],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.998231,0.000054470765,0.00039959146,0.00051583495,0.00031507915,0.00048403902],"domain_scores_gemma":[0.99877405,0.00034089878,0.00018131976,0.0005082454,0.000025597135,0.00016989648],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055109867,0.00038368933,0.00033755734,0.000059260656,0.0003965603,0.00009464985,0.00015370894,0.0003430883,0.02032227],"category_scores_gemma":[0.00014456539,0.00034935173,0.00015980852,0.000024117848,0.00030874772,0.00026833703,0.00019164069,0.00017578767,0.00036754028],"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":[0.00043181932,0.0003157888,0.002061478,0.0002981027,0.00023957228,0.0000807359,0.0015819345,0.02909976,0.013661491,0.8927544,0.044705592,0.01476937],"study_design_scores_gemma":[0.0020686204,0.0009084129,0.008901322,0.000031622214,0.00029109034,0.000026535714,0.00034988308,0.0067688697,0.0036448173,0.7340055,0.24089773,0.002105568],"about_ca_topic_score_codex":0.00018424614,"about_ca_topic_score_gemma":0.000024938387,"teacher_disagreement_score":0.25159594,"about_ca_system_score_codex":0.0008380089,"about_ca_system_score_gemma":0.000046685804,"threshold_uncertainty_score":0.9998959},"labels":[],"label_agreement":null},{"id":"W119064212","doi":"10.1007/978-1-4419-1017-2_10","title":"A Strategic Program to Reduce Greenhouse Gas Emissions from Food Industry","year":2009,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FuelCell Energy (Canada); Ontario Tech University","funders":"","keywords":"Greenhouse gas; Business; Food industry; Greenhouse; Environmental economics; Natural resource economics; Environmental science; Economics; Food science; Chemistry; Agronomy; Ecology","score_opus":0.015631170381458642,"score_gpt":0.23381599978607023,"score_spread":0.2181848294046116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W119064212","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.4739176,0.00069319934,0.000029037625,0.008109798,0.000087922155,0.00081763195,0.00013715605,0.0008558968,0.5153518],"genre_scores_gemma":[0.6249037,0.0002644075,0.0011719168,0.0006537934,0.000103418315,0.00009115102,0.00008553478,0.000085593165,0.3726405],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99816287,0.000017908833,0.0003021821,0.0007974873,0.00023127654,0.0004883042],"domain_scores_gemma":[0.99879855,0.000018030853,0.00012218594,0.00071937457,0.0000065108857,0.00033535418],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000063701664,0.00045199308,0.00040522355,0.00016092505,0.00017943191,0.000025144029,0.00043446507,0.0020222408,0.001787721],"category_scores_gemma":[0.000011987894,0.00042266469,0.00007600887,0.0001480621,0.0006664345,0.000081611586,0.0005940876,0.0008363338,0.00006312496],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004430972,0.00023717368,0.0018753494,0.000007997541,0.00007673262,0.00013726352,0.00006107227,0.00001426153,0.00062621024,0.0317566,0.0015348304,0.9636282],"study_design_scores_gemma":[0.00037198342,0.002092781,0.0014402068,0.00006321305,0.00007769774,0.000052970096,0.00012021166,0.000024093264,0.000864252,0.51508754,0.47904643,0.0007586109],"about_ca_topic_score_codex":0.0011011714,"about_ca_topic_score_gemma":0.0014703057,"teacher_disagreement_score":0.9628696,"about_ca_system_score_codex":0.00024650624,"about_ca_system_score_gemma":0.00002870811,"threshold_uncertainty_score":0.9998225},"labels":[],"label_agreement":null},{"id":"W1210801895","doi":"10.1016/j.eneco.2015.08.014","title":"Firm ownership, China's export related emissions, and the responsibility issue","year":2015,"lang":"en","type":"article","venue":"Energy Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":56,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Economic and Social Research Council; National Natural Science Foundation of China","keywords":"China; International trade; Unit (ring theory); Economics; Business; Greenhouse gas; International economics; Natural resource economics","score_opus":0.00877441981038174,"score_gpt":0.21359879602924006,"score_spread":0.20482437621885832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1210801895","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95498216,0.00013875577,0.000014503921,0.0023693622,0.00011872208,0.00010890668,0.000002650986,0.000027695756,0.04223725],"genre_scores_gemma":[0.982731,0.00010334927,0.00016973192,0.0003696238,0.000031071864,0.000013326945,0.00000812814,0.000013462069,0.01656035],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99888426,0.00018351045,0.00027608525,0.00033156574,0.0000810433,0.00024351616],"domain_scores_gemma":[0.99903893,0.00008473165,0.000090628055,0.0005113737,0.0000023742723,0.0002719821],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012636855,0.00014822582,0.00018232125,0.0000121318735,0.0002629061,0.000067361376,0.00020500609,0.00009918891,0.00090903934],"category_scores_gemma":[0.00023576333,0.00009954535,0.000056884768,0.00006463067,0.0007300231,0.00024541604,0.00033570456,0.00013020374,0.000054000448],"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":[0.0009959566,0.00027353223,0.94576234,0.0000067745036,0.00004736078,0.00001554809,0.005454348,0.0033096562,0.00008736532,0.0043666824,0.017797401,0.021883018],"study_design_scores_gemma":[0.0036146087,0.00017428416,0.3828478,0.000005549693,0.00003678432,0.00005555091,0.0037801457,0.015101897,0.00097337435,0.10309461,0.48970947,0.0006059324],"about_ca_topic_score_codex":0.0016030191,"about_ca_topic_score_gemma":0.00027177023,"teacher_disagreement_score":0.56291455,"about_ca_system_score_codex":0.0004407908,"about_ca_system_score_gemma":0.000023802482,"threshold_uncertainty_score":0.9953343},"labels":[],"label_agreement":null},{"id":"W139914630","doi":"10.1007/978-94-007-0810-5_150","title":"Cost-Benefit Analysis and the Development of Acidification Policy in Europe","year":2001,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Protocol (science); Environmental science; Montreal Protocol; Principal (computer security); Kyoto Protocol; Cost–benefit analysis; Policy development; Environmental economics; Natural resource economics; Business; Ozone; Computer science; Economics; Geography; Meteorology; Climate change; Ozone layer; Political science; Economic policy; Ecology","score_opus":0.019295983455436434,"score_gpt":0.25443801546221145,"score_spread":0.23514203200677503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W139914630","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.062127184,0.000053805383,0.0004945214,0.00032420698,0.000006292202,0.0005106871,0.000004653449,0.000008338621,0.9364703],"genre_scores_gemma":[0.54150915,0.00047655177,0.0008577309,0.00015723819,0.000012107629,0.000019637786,0.000033838245,0.000019648363,0.4569141],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99891317,0.000021751635,0.00039177248,0.0002668685,0.00024862945,0.00015779438],"domain_scores_gemma":[0.9994132,0.00004532766,0.00014554613,0.0003288357,0.0000055935066,0.00006150918],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042086613,0.00017437535,0.0002894677,0.00012572041,0.00005747431,0.0000128876845,0.00017550756,0.0000937664,0.0027240333],"category_scores_gemma":[0.000030991367,0.000115147144,0.00006414888,0.00026044753,0.00049219985,0.00006773955,0.00025022967,0.0001211285,0.00006962722],"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":[0.00031162557,0.00025080572,0.41582236,0.00007203572,0.0006168765,0.000009799593,0.009894704,0.0014547433,0.0004003447,0.10785252,0.00015307167,0.4631611],"study_design_scores_gemma":[0.0007443462,0.000022180691,0.92204064,0.000011991169,0.0002063488,0.0000021190356,0.00027314833,0.00020995954,0.00037231957,0.008128941,0.067616545,0.00037147792],"about_ca_topic_score_codex":0.00081265497,"about_ca_topic_score_gemma":0.0026101635,"teacher_disagreement_score":0.50621825,"about_ca_system_score_codex":0.00040074365,"about_ca_system_score_gemma":0.000019260047,"threshold_uncertainty_score":0.9981876},"labels":[],"label_agreement":null},{"id":"W14467834","doi":"","title":"China - CN-GEF-Heat Reform : P072721 - Implementation Status Results Report : Sequence 07","year":2011,"lang":"en","type":"article","venue":"Medical services journal, Canada","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sequence (biology); China; Business; Political science; Chemistry; Law","score_opus":0.013105110223131666,"score_gpt":0.26398601470372113,"score_spread":0.2508809044805895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W14467834","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9719305,0.0000664753,0.000019484612,0.0030795343,0.00043844912,0.00021066716,0.000043600165,0.000024657405,0.024186604],"genre_scores_gemma":[0.99668133,0.00020330652,0.0003388231,0.0019693442,0.00010778734,0.000008775848,0.00007865178,0.000020739957,0.0005912229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956153,0.00014080321,0.0008911524,0.00042343134,0.0020179409,0.0009113609],"domain_scores_gemma":[0.99771136,0.000022410375,0.000292086,0.00048526214,0.00001859361,0.00147027],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013929039,0.00026097344,0.00025487074,0.00003144716,0.00044610497,0.000055855387,0.00060015084,0.00012064842,0.026910903],"category_scores_gemma":[0.00009238849,0.00020141534,0.00007361113,0.00023763576,0.00020964204,0.00069209817,0.0003187128,0.0005684525,0.00005808606],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004261247,0.000478273,0.8783561,0.00017145516,0.00014005427,0.014900997,0.010873098,0.00012646981,0.0008254844,0.000031407213,0.025990695,0.06767982],"study_design_scores_gemma":[0.0009617421,0.00019522781,0.9063692,0.000038423255,0.000032282733,0.0014308874,0.0065608243,0.00028201204,0.0007381702,0.00046885046,0.08255609,0.00036626463],"about_ca_topic_score_codex":0.9730441,"about_ca_topic_score_gemma":0.94300157,"teacher_disagreement_score":0.06731356,"about_ca_system_score_codex":0.0046909656,"about_ca_system_score_gemma":0.00057915604,"threshold_uncertainty_score":0.99912983},"labels":[],"label_agreement":null},{"id":"W1451319731","doi":"10.1007/s00168-015-0689-6","title":"Estimating regional trade flows using commercial vehicle survey data","year":2015,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Commodity; Consumption (sociology); Production (economics); Econometrics; Survey data collection; Regional trade; Destinations; Point (geometry); Bilateral trade; Economics; Estimation; Sample (material); Computer science; International trade; Mathematics; Microeconomics; Geography; Statistics; Tourism; Free trade; Finance","score_opus":0.4539255290806449,"score_gpt":0.4220319473066423,"score_spread":0.03189358177400259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1451319731","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99429893,0.000059797112,0.0003935982,0.0043512112,0.000080137455,0.00014974659,0.000022729702,0.000012438048,0.0006314216],"genre_scores_gemma":[0.99537534,0.0000064221445,0.0033863874,0.0011165253,0.000059555903,0.0000013402537,0.000014198602,0.000007105775,0.000033148284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975187,0.00020454262,0.0002511963,0.00039666853,0.0011936808,0.0004351949],"domain_scores_gemma":[0.99851245,0.00016839369,0.00015276896,0.0008745975,0.000024493465,0.00026727456],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0054024374,0.00013010541,0.00015461932,0.000028452801,0.00040586287,0.000044643573,0.0019128445,0.00003525542,0.00007153989],"category_scores_gemma":[0.0005516644,0.00009148851,0.000041157713,0.0006333383,0.0029319122,0.0009918587,0.0010965569,0.00013564828,0.00002573058],"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":[0.00041604936,0.0007853928,0.7880704,0.000020948688,0.000027055701,0.000013129996,0.005622639,0.10154081,0.019639393,0.00044625674,0.054579876,0.028838065],"study_design_scores_gemma":[0.00017942871,0.00007405673,0.8094443,0.000012124686,0.0000060871253,0.000022190326,0.00035587166,0.18513185,0.0005414411,0.0021691008,0.0018921464,0.0001713826],"about_ca_topic_score_codex":0.0038433762,"about_ca_topic_score_gemma":0.0002936354,"teacher_disagreement_score":0.08359104,"about_ca_system_score_codex":0.00013072348,"about_ca_system_score_gemma":0.0001428125,"threshold_uncertainty_score":0.99978155},"labels":[],"label_agreement":null},{"id":"W1474036562","doi":"10.1007/s11367-015-0951-2","title":"I publish, therefore I am. Or am I? A reply to A bibliometric investigation of life cycle assessment research in the web of science databases by Chen et al. (2014) and Mapping the scientific research on life cycle assessment: a bibliometric analysis by Hou et al. (2015)","year":2015,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Ranking (information retrieval); Web of science; Scopus; Citation; Publication; Chen; Computer science; Library science; Bibliometrics; Journal ranking; Database; Data science; Information retrieval; MEDLINE; Political science","score_opus":0.16032396174720037,"score_gpt":0.45762717775225104,"score_spread":0.29730321600505066,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1474036562","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8889464,0.0003234926,0.0005994809,0.10774006,0.00017334893,0.0008029205,0.00014104655,0.000008734057,0.001264477],"genre_scores_gemma":[0.9896521,0.0005694614,0.0014945872,0.0080407765,0.000039206334,0.00006590283,0.000038230428,0.000025251882,0.00007446386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9833223,0.002914492,0.0014311959,0.0007791449,0.010767179,0.000785672],"domain_scores_gemma":[0.99304795,0.0029707244,0.0010338068,0.0011947344,0.0009866824,0.00076612685],"candidate_categories":["metaresearch","bibliometrics","sts","scholarly_communication"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.07150945,0.00029833114,0.0005315834,0.053000167,0.0005795622,0.0014284046,0.0036377104,0.000058708192,0.0002811173],"category_scores_gemma":[0.0048200446,0.00016523786,0.00016405612,0.17272317,0.0029207328,0.0023898196,0.0020427785,0.0013204876,0.000009911027],"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":[0.00045430305,0.0023030217,0.6510927,0.000034496108,0.0005412634,0.000018592706,0.002605791,0.016179113,0.009871181,0.0005962504,0.31175408,0.004549194],"study_design_scores_gemma":[0.0012953328,0.0008743328,0.94635713,0.000101345606,0.000052810825,0.000012511453,0.016536912,0.017879745,0.00031829003,0.00082219025,0.015523137,0.00022627493],"about_ca_topic_score_codex":0.004070056,"about_ca_topic_score_gemma":0.00032104063,"teacher_disagreement_score":0.29623094,"about_ca_system_score_codex":0.0018525783,"about_ca_system_score_gemma":0.0023702683,"threshold_uncertainty_score":0.99979275},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"not_applicable","genre":"commentary","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W1488982679","doi":"10.4236/ti.2015.62013","title":"Quantitative Research on Trade in Value-Added and Emissions Responsibility in Global Value Chain","year":2015,"lang":"en","type":"article","venue":"Technology and Investment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Value (mathematics); Database transaction; Fragmentation (computing); Business; Added value; Emissions trading; Global value chain; Transaction cost; International trade; Natural resource economics; Environmental economics; Industrial organization; Economics; Environmental science; Computer science; Mathematics; Comparative advantage; Statistics; Finance","score_opus":0.0674660364177527,"score_gpt":0.3794251906397967,"score_spread":0.311959154222044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1488982679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98617846,0.00023992639,0.0000040664368,0.0050628525,0.00001683156,0.00047095603,0.000005209655,0.000028976436,0.007992696],"genre_scores_gemma":[0.9984371,0.000025158844,0.0009577438,0.00043511705,0.000002154185,0.000044760916,0.0000014908592,0.0000045540614,0.00009192984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998298,0.0004266026,0.00020690243,0.00044009768,0.00024229196,0.00038610245],"domain_scores_gemma":[0.9993938,0.00011207321,0.000026399695,0.00029191005,0.0000024904475,0.00017329029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019863276,0.00012805562,0.0001731966,0.00017783974,0.00009180109,0.000009362037,0.0001365488,0.00020687091,0.000027760318],"category_scores_gemma":[0.0006552726,0.000109427056,0.0000125041415,0.0007606974,0.0017478627,0.000111821195,0.00033312,0.0003896433,0.000016665943],"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":[0.0003501659,0.00058508536,0.72897714,0.0000089170435,0.0000041175504,0.00004877553,0.0017880915,0.00018520044,0.0012783307,0.26429576,0.00032497314,0.0021534301],"study_design_scores_gemma":[0.00071815506,0.0008869352,0.58992153,0.000018843913,0.0000015606513,0.000006590425,0.005230323,0.00072730903,0.00096859236,0.40085557,0.0005581397,0.00010646819],"about_ca_topic_score_codex":0.0005486188,"about_ca_topic_score_gemma":0.0003049002,"teacher_disagreement_score":0.13905564,"about_ca_system_score_codex":0.001169434,"about_ca_system_score_gemma":0.00003850476,"threshold_uncertainty_score":0.64400727},"labels":[],"label_agreement":null},{"id":"W1493293603","doi":"10.1111/j.1530-9290.2010.00228.x","title":"Using the Lashof Accounting Methodology to Assess Carbon Mitigation Projects With Life Cycle Assessment","year":2010,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Danmarks Tekniske Universitet","keywords":"Greenhouse gas; Life-cycle assessment; Context (archaeology); Environmental science; Carbon accounting; Climate change; Industrial ecology; Climate change mitigation; Radiative forcing; Environmental resource management; Unit (ring theory); Accounting method; Environmental economics; Business; Accounting; Production (economics); Sustainability; Economics; Mathematics","score_opus":0.1181834693986404,"score_gpt":0.3643795791623141,"score_spread":0.24619610976367373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1493293603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99544257,0.0000013783169,0.00052035204,0.0018666663,0.00073743885,0.0003877506,9.5056157e-7,0.000005633572,0.0010372397],"genre_scores_gemma":[0.9855148,8.013813e-7,0.013538896,0.00049988215,0.00040310636,0.000006849532,4.395045e-7,0.000012689412,0.000022527938],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998166,0.0005422058,0.00044692872,0.00017485717,0.00033206926,0.0003378852],"domain_scores_gemma":[0.99863577,0.0004516377,0.00050331303,0.00019459841,0.000033426473,0.00018126663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030006457,0.00013913013,0.00029735203,0.000067498935,0.00016984293,0.000043069955,0.0003057256,0.00023429056,0.00044243148],"category_scores_gemma":[0.001199514,0.00008710639,0.000060706578,0.00025114577,0.00027175684,0.000254354,0.0001747523,0.00092377886,0.0000032538587],"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":[0.00015394074,0.00012669171,0.931215,0.0000023436055,0.000038832535,0.00002348201,0.0004093995,0.014396486,0.051091667,0.000042065953,0.0001265197,0.0023736032],"study_design_scores_gemma":[0.0018237655,0.0013943627,0.9817006,0.000014342969,0.0001372114,0.00035269058,0.0036785544,0.0026094723,0.006442007,0.0005538553,0.0010233675,0.00026979693],"about_ca_topic_score_codex":0.00032214238,"about_ca_topic_score_gemma":0.0006992259,"teacher_disagreement_score":0.050485604,"about_ca_system_score_codex":0.000490749,"about_ca_system_score_gemma":0.00027663392,"threshold_uncertainty_score":0.48443145},"labels":[],"label_agreement":null},{"id":"W1499187656","doi":"10.1111/wej.12069","title":"Analysis of virtual water consumption in <scp>C</scp>hina: using factor decomposition analysis based on a weighted average decomposition model","year":2013,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Museum of Nature","funders":"Ministry of Water Resources; National Science Foundation","keywords":"Decomposition; Water consumption; Consumption (sociology); Chemistry; Economics; Environmental engineering; Environmental science; Organic chemistry","score_opus":0.01110960758230616,"score_gpt":0.24360895705759328,"score_spread":0.2324993494752871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1499187656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97195745,0.000008688906,0.02759207,0.00006844706,0.000019089206,0.00022841766,0.000024992214,0.000008134518,0.00009271933],"genre_scores_gemma":[0.99847054,0.000065888766,0.001125847,0.00011256625,0.000010368898,0.000010352212,0.0001298372,0.000014953668,0.000059629037],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978825,0.00020824841,0.0005495443,0.0003869619,0.0004918412,0.00048090031],"domain_scores_gemma":[0.99933875,0.00005517397,0.0001225833,0.00024839415,0.0000042332913,0.000230868],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037960726,0.00027167116,0.00043530576,0.00052138284,0.00021749195,0.00009011379,0.00013064037,0.00012413201,0.0032191246],"category_scores_gemma":[0.0000041277253,0.00018197206,0.00027557483,0.00017646664,0.00020233273,0.0005911864,0.00012144421,0.00024272468,0.00006955853],"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":[0.000021338337,0.0002484895,0.38114178,0.0000043335745,0.00020498919,0.000004749441,0.0009578142,0.53295326,0.084115945,5.780972e-7,0.0000027385263,0.00034398958],"study_design_scores_gemma":[0.00041864044,0.00010176821,0.4455009,0.0000044164294,0.00051333004,0.0000033502517,0.000087619745,0.5367972,0.016355991,0.0001279311,0.0000046970017,0.00008413543],"about_ca_topic_score_codex":0.00014695492,"about_ca_topic_score_gemma":0.000022113465,"teacher_disagreement_score":0.06775995,"about_ca_system_score_codex":0.00072330475,"about_ca_system_score_gemma":0.0000027341318,"threshold_uncertainty_score":0.99769205},"labels":[],"label_agreement":null},{"id":"W1514828901","doi":"10.1111/j.1530-9290.2011.00363.x","title":"Life Cycle Thinking in Canada","year":2011,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Citation; Library science; Computer science; Sociology","score_opus":0.026898509851843725,"score_gpt":0.2133846523304576,"score_spread":0.1864861424786139,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1514828901","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926339,0.000007904129,0.0000041927356,0.0004994888,0.00048062523,0.00007674213,7.7819294e-7,0.0000014871612,0.006294913],"genre_scores_gemma":[0.999053,0.000005482517,0.0001600692,0.0006619138,0.000080134014,8.7618776e-7,1.5412864e-7,0.00000489233,0.00003347648],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989146,0.00012215806,0.0004241321,0.000085391715,0.00020132614,0.00025236807],"domain_scores_gemma":[0.99938095,0.00006459578,0.00023727638,0.00008903884,0.000004442288,0.0002237103],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00060324976,0.00007734255,0.00020427982,0.00003569968,0.00004536504,0.000004603627,0.00024600225,0.000100787365,0.0063610626],"category_scores_gemma":[0.0005451759,0.000064939144,0.000040971296,0.000112319925,0.00008384729,0.00019352103,0.000109314824,0.0003999404,0.00001643308],"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":[0.00008902116,0.000077920944,0.99325025,5.6908897e-7,0.0000074302243,0.0001454293,0.0003866894,0.00082999957,0.00003492966,0.00001561322,0.0023089394,0.0028532196],"study_design_scores_gemma":[0.0009781934,0.00023960638,0.9939609,0.000004452409,0.000008565672,0.00004359348,0.001375477,0.000044925553,0.00023764273,0.0017652598,0.0012530092,0.00008837251],"about_ca_topic_score_codex":0.6018155,"about_ca_topic_score_gemma":0.77990353,"teacher_disagreement_score":0.178088,"about_ca_system_score_codex":0.0020444177,"about_ca_system_score_gemma":0.0006725522,"threshold_uncertainty_score":0.99454725},"labels":[],"label_agreement":null},{"id":"W1518631755","doi":"","title":"Assessment of Technologies for Compliance with the Low Carbon Fuel Standard","year":2009,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"California Air Resources Board","keywords":"Greenhouse gas; Biofuel; Cellulosic ethanol; Sustainability; Portfolio; Electricity; Electrification; Environmental economics; Subsidy; Natural resource economics; Incentive; Business; Waste management; Environmental science; Engineering; Economics; Finance","score_opus":0.010392730592565786,"score_gpt":0.23635130803707471,"score_spread":0.22595857744450892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1518631755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95835125,0.00007718068,0.0006219858,0.0028394389,0.000016127455,0.00080528436,0.0006850628,0.00020026075,0.036403377],"genre_scores_gemma":[0.996864,0.000008741643,0.0024279747,0.00026794316,0.00001025841,0.000032218493,0.00005067748,0.0000225168,0.00031566617],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99859333,0.0000308848,0.0002482868,0.00033569604,0.0003995021,0.00039227566],"domain_scores_gemma":[0.99919593,0.00009111532,0.00013287508,0.00048596566,0.0000073714177,0.000086754386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018100918,0.00022590622,0.00023783,0.000028240858,0.00011597966,0.00021856386,0.00053714047,0.00008569191,0.00012933483],"category_scores_gemma":[0.000062640545,0.00014019581,0.00009520541,0.00028511073,0.0005353808,0.001218849,0.00019792213,0.00024288568,0.00002264137],"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":[0.00028429728,0.00036814593,0.9736057,0.00008576822,0.000024209168,0.000008737842,0.00004212686,0.0002578134,0.0012688111,0.0009841409,0.0007142592,0.022356007],"study_design_scores_gemma":[0.0013569642,0.0018697629,0.88563365,0.00009686209,0.000034622757,0.000009687347,0.00076223485,0.00061471213,0.015108875,0.039575726,0.054272015,0.0006649003],"about_ca_topic_score_codex":0.0000023430928,"about_ca_topic_score_gemma":0.0000021148385,"teacher_disagreement_score":0.087972045,"about_ca_system_score_codex":0.00014670506,"about_ca_system_score_gemma":0.000030021798,"threshold_uncertainty_score":0.57170194},"labels":[],"label_agreement":null},{"id":"W1520615075","doi":"10.1111/j.1530-9290.2012.00564.x","title":"Sustainable Urban Systems","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Industrial ecology; Environmental planning; Business; Sustainability; Geography; Ecology; Biology","score_opus":0.019198708314494245,"score_gpt":0.24155441859494384,"score_spread":0.2223557102804496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1520615075","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896271,0.00011236382,0.000024025325,0.00028582584,0.0011531888,0.00019116866,8.616148e-7,0.00000598868,0.008599442],"genre_scores_gemma":[0.9951635,0.000007948685,0.000052764735,0.00010266777,0.000868239,0.0000031918103,5.104953e-7,0.000009418067,0.0037917355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984096,0.00021823756,0.00045892497,0.00008197888,0.00024252858,0.0005887045],"domain_scores_gemma":[0.99908036,0.00010331145,0.0003508399,0.00013857763,0.000015839296,0.0003110998],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016291824,0.0001129662,0.00026863144,0.000056516434,0.00010383912,0.000022946504,0.00021985485,0.00021867377,0.002395807],"category_scores_gemma":[0.00045978875,0.000089395406,0.000094519484,0.00015508207,0.00018618938,0.0006813074,0.00015459966,0.00038477793,0.00013190926],"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":[0.00008055375,0.00024576264,0.9563404,0.0000036761212,0.000020032916,0.000040271618,0.0003577631,0.00048346567,0.00019823507,0.00039021342,0.04124283,0.00059680775],"study_design_scores_gemma":[0.0027806107,0.001535018,0.55860627,0.000010412606,0.0000991703,0.00064138236,0.011064162,0.000045347395,0.0006974883,0.00041397882,0.42374766,0.0003584864],"about_ca_topic_score_codex":0.00017741953,"about_ca_topic_score_gemma":0.000004299522,"teacher_disagreement_score":0.3977341,"about_ca_system_score_codex":0.0011607966,"about_ca_system_score_gemma":0.000047493042,"threshold_uncertainty_score":0.99851614},"labels":[],"label_agreement":null},{"id":"W1525859023","doi":"10.5772/27043","title":"Analysis of Time Dependent Valuation of Emission Factors from the Electricity Sector","year":2011,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Valuation (finance); Electricity; Economics; Business; Environmental economics; Econometrics; Electrical engineering; Finance; Engineering","score_opus":0.026717939286939826,"score_gpt":0.233837171557528,"score_spread":0.20711923227058818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1525859023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7630903,0.00003752505,0.000684054,0.0000057145844,0.00003322426,0.00041521157,0.00014516448,0.000019226654,0.23556957],"genre_scores_gemma":[0.9204094,0.000009619864,0.000020701757,0.000019289228,0.000010185035,0.0000037589493,0.000054345084,0.000019328516,0.079453364],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9984056,0.00006283552,0.00045780215,0.0003298133,0.0005788422,0.00016514251],"domain_scores_gemma":[0.99869,0.00016570785,0.000458121,0.0005982155,0.000016564736,0.00007140285],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034302977,0.00025302992,0.00045679012,0.000089563655,0.000054860968,0.00000678551,0.00040405078,0.00026591975,0.011635545],"category_scores_gemma":[0.00006155506,0.00017016675,0.00036015356,0.00004855952,0.00034593462,0.000041480518,0.00026335308,0.00026835722,0.00004693469],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024100977,0.00022204257,0.2630609,0.0000340686,0.0024548324,0.0000059463814,0.0057752915,0.00007635915,0.69746417,0.00018922296,0.00021499442,0.030261185],"study_design_scores_gemma":[0.00021569156,0.00029911645,0.14490154,0.000059295053,0.002650856,5.573614e-7,0.000116038216,0.0002260543,0.8164204,0.033075966,0.0015377752,0.0004967503],"about_ca_topic_score_codex":0.003303118,"about_ca_topic_score_gemma":0.0002562986,"teacher_disagreement_score":0.1573191,"about_ca_system_score_codex":0.00043682804,"about_ca_system_score_gemma":0.000022045711,"threshold_uncertainty_score":0.98926795},"labels":[],"label_agreement":null},{"id":"W1528398380","doi":"","title":"A green-feature based LCA backtracking mechanism","year":2012,"lang":"en","type":"article","venue":"Electronics Goes Green","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Backtracking; Feature (linguistics); Conceptual design; Product (mathematics); Sustainable design; Computer science; Process (computing); Mechanism (biology); Conceptual model; Property (philosophy); Product design; Data mining; Systems engineering; Industrial engineering; Engineering; Mathematics; Database; Algorithm; Sustainability; Human–computer interaction","score_opus":0.006711049491963078,"score_gpt":0.2229543663748826,"score_spread":0.21624331688291953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1528398380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97919786,0.0009171199,0.0033493417,0.002125212,0.00016246867,0.0005832037,0.000014644881,0.00016928143,0.013480841],"genre_scores_gemma":[0.9926264,0.000021565163,0.0016328265,0.0010603414,0.00013617589,0.000024685418,0.000021077803,0.00004234997,0.004434543],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976523,0.00011298976,0.00018723028,0.00035415016,0.00046050642,0.0012328486],"domain_scores_gemma":[0.99904954,0.00004901436,0.000087197004,0.00049293455,0.0000049007044,0.00031640896],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055783446,0.00028474323,0.00020757406,0.000036812202,0.00023546569,0.000029526485,0.0003633025,0.00018097211,0.0030631477],"category_scores_gemma":[0.00002629284,0.0002559364,0.00013700667,0.00025905677,0.00014288991,0.0005710319,0.00021120512,0.0004514285,0.0006553381],"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":[0.00021034172,0.0014030319,0.8332628,0.00011770422,0.00011649914,0.000034031724,0.0029541245,0.0004484107,0.06553012,0.010741892,0.0063744625,0.07880656],"study_design_scores_gemma":[0.0023792735,0.0011186253,0.49407685,0.000033841996,0.00020980506,0.0000870611,0.0005989161,0.01123059,0.07140527,0.0381449,0.3782416,0.0024732556],"about_ca_topic_score_codex":0.0005800039,"about_ca_topic_score_gemma":0.00047387838,"teacher_disagreement_score":0.37186715,"about_ca_system_score_codex":0.0010797075,"about_ca_system_score_gemma":0.000028101998,"threshold_uncertainty_score":0.9999893},"labels":[],"label_agreement":null},{"id":"W1529657313","doi":"10.1111/j.1530-9290.2011.00414.x","title":"Carbon Footprint Assessment of a Paperback Book","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Carbon footprint; Greenhouse gas; Mill; Tonne; Paper mill; Pulp (tooth); Paper production; Kraft process; Reuse; Pulp mill; Environmental science; Pulp and paper industry; Waste management; Pulpwood; Paper machine; Carbon dioxide equivalent; Carbon dioxide; Kraft paper; Engineering; Effluent; Chemistry","score_opus":0.02208950500230716,"score_gpt":0.28220194820145744,"score_spread":0.2601124431991503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1529657313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98626006,0.000061098624,0.000006626184,0.00042344313,0.0005637793,0.0001493345,9.2038573e-7,0.00000252693,0.01253223],"genre_scores_gemma":[0.99901325,0.00003537109,0.00035685344,0.000111701374,0.00025800228,0.0000022544978,2.9133935e-7,0.0000072981097,0.00021498096],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985716,0.00019354462,0.0005560969,0.00008156821,0.00027259692,0.00032463274],"domain_scores_gemma":[0.99903977,0.000108198234,0.0004882691,0.00014632689,0.000010688879,0.00020676939],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011439328,0.00010618784,0.00031279647,0.000029865894,0.000032404434,0.000004715809,0.00019034276,0.00018646476,0.0022850453],"category_scores_gemma":[0.0001879517,0.00008446211,0.00012019254,0.0000914882,0.00022670171,0.00013577602,0.00016532809,0.00038750362,0.0000066261046],"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":[0.000060429527,0.00041465307,0.9877258,0.0000027142055,0.000029466843,0.0000071711365,0.0001510595,0.00028379145,0.006134646,0.00004626036,0.0005513926,0.004592643],"study_design_scores_gemma":[0.0012451715,0.0009805483,0.97780067,0.0000069501107,0.000047136058,0.00006773898,0.00039592912,0.000025556203,0.0036928337,0.00014165389,0.015487182,0.000108643675],"about_ca_topic_score_codex":0.000073063304,"about_ca_topic_score_gemma":0.00001642678,"teacher_disagreement_score":0.01493579,"about_ca_system_score_codex":0.0008078403,"about_ca_system_score_gemma":0.00006768371,"threshold_uncertainty_score":0.998627},"labels":[],"label_agreement":null},{"id":"W1532871623","doi":"","title":"Towards Developing a Comprehensive Carbon Accounting Framework for Forests in British Columbia","year":2000,"lang":"en","type":"preprint","venue":"IIASA PURE (International Institute of Applied Systems Analysis)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Forest Service; International Institute for Applied Systems Analysis","keywords":"Kyoto Protocol; Carbon accounting; Carbon sink; Work (physics); Accounting; Forestry; Carbon credit; Carbon fibers; Environmental resource management; Greenhouse gas; Business; Environmental science; Geography; Climate change; Engineering; Computer science; Ecology","score_opus":0.016137587397389765,"score_gpt":0.2685852204017884,"score_spread":0.25244763300439865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1532871623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806597,0.000121964535,0.0086770505,0.00007873898,0.0008328904,0.0016436335,0.00022697136,0.000039870036,0.00771916],"genre_scores_gemma":[0.9915533,0.000080009086,0.006843593,0.0000773891,0.00018684215,0.0004649321,0.0004845052,0.00003513047,0.00027427528],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9963829,0.000043059874,0.0012095938,0.0009807057,0.00091727724,0.0004664754],"domain_scores_gemma":[0.9984798,0.0000831957,0.0007119004,0.00054999517,0.00006255181,0.000112594724],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005184108,0.00034932198,0.0010864324,0.00021460034,0.00012242727,0.00046364198,0.0009245837,0.0005382806,0.00028594467],"category_scores_gemma":[0.00007557146,0.0005189763,0.00045398503,0.0005644725,0.0003076234,0.00021138258,0.0008148851,0.00052816194,0.000006873916],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000820286,0.00022515106,0.33027723,0.00046232995,0.0014932681,0.000041822896,0.00068820606,0.66085243,0.000087199514,0.001464824,0.00022366586,0.0041018757],"study_design_scores_gemma":[0.0010295432,0.000033011303,0.89548945,0.0007991549,0.00073118083,0.000012690343,0.0012109715,0.059117246,0.000042689328,0.02914945,0.01114647,0.0012381264],"about_ca_topic_score_codex":0.124560446,"about_ca_topic_score_gemma":0.19475614,"teacher_disagreement_score":0.6017352,"about_ca_system_score_codex":0.0017556103,"about_ca_system_score_gemma":0.00012781749,"threshold_uncertainty_score":0.9997262},"labels":[],"label_agreement":null},{"id":"W1537518880","doi":"10.1002/2014ef000253","title":"Positioning infrastructure and technologies for low‐carbon urbanization","year":2014,"lang":"en","type":"article","venue":"Earth s Future","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"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":"National Center for Atmospheric Research","keywords":"Urbanization; Greenhouse gas; Interdependence; Fossil fuel; Business; Natural resource economics; Electricity; Environmental planning; Environmental economics; Environmental resource management; Environmental science; Engineering; Economics; Economic growth; Political science; Ecology; Waste management","score_opus":0.0012327883771515488,"score_gpt":0.17471141590672434,"score_spread":0.1734786275295728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1537518880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99529594,0.00005961202,0.0013740534,0.00076405995,0.00008079025,0.00022568526,0.0000032411328,0.00009339347,0.0021032095],"genre_scores_gemma":[0.99627674,0.00001259647,0.0032339857,0.00014386044,0.000080748454,0.000009448143,0.000011305358,0.000008132104,0.00022319383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99948627,0.000016368293,0.00007496015,0.00017837835,0.00008789866,0.00015615566],"domain_scores_gemma":[0.9997776,0.000016070951,0.00003224881,0.00013762097,0.0000030792937,0.0000333521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000086852764,0.00008949047,0.00007521237,0.000014649991,0.00012668414,0.00002594087,0.00006602052,0.00010428664,0.00009643309],"category_scores_gemma":[0.000048920898,0.00007553644,0.000018878565,0.00008102435,0.000118387696,0.00012171537,0.00007450362,0.0000841858,0.0000049129853],"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":[0.000043175125,0.00004419974,0.8407065,0.00006511901,0.000010340738,0.000001176273,0.0011324731,0.0013225895,0.015765242,0.0017676734,0.0014648209,0.13767666],"study_design_scores_gemma":[0.00031882926,0.00014116542,0.95463425,0.0000070854157,0.000009610927,0.0000065248155,0.0007809477,0.0037306158,0.005500597,0.00759134,0.02710137,0.0001776581],"about_ca_topic_score_codex":0.000007102435,"about_ca_topic_score_gemma":0.000011720491,"teacher_disagreement_score":0.137499,"about_ca_system_score_codex":0.000034754165,"about_ca_system_score_gemma":0.0000018123123,"threshold_uncertainty_score":0.30802867},"labels":[],"label_agreement":null},{"id":"W1539816523","doi":"10.1002/9780470432747.ch8","title":"An Integrated Approach for Carbon Mitigation in the Electric Power Generation Sector","year":2009,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Electric power; Electricity generation; Carbon fibers; Power (physics); Environmental science; Computer science; Physics","score_opus":0.00874872487197831,"score_gpt":0.23005223859079232,"score_spread":0.22130351371881402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1539816523","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15170266,0.000083952174,0.005755471,0.00010106447,0.000059924067,0.002746242,0.0000134898355,0.00010091018,0.8394363],"genre_scores_gemma":[0.88773316,0.000014791503,0.004384987,0.00051869726,0.0001250808,0.00017086705,0.0005025812,0.00012607935,0.106423765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9989158,0.00014051069,0.00015084572,0.00034033804,0.0002121661,0.00024035446],"domain_scores_gemma":[0.9995615,0.000010714532,0.00006651719,0.0003156672,0.0000018019332,0.000043830285],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031738565,0.0001965896,0.00014098627,0.000065605425,0.0000365725,0.000037815254,0.00021472534,0.00021375915,0.0018134663],"category_scores_gemma":[0.000016007254,0.00012822289,0.000046296613,0.00022709894,0.00005224351,0.00007700927,0.000010901282,0.00014520022,0.000008934912],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017397474,0.0057110684,0.066715665,0.0001067299,0.00007557033,0.000012609149,0.006074784,0.006815535,0.09198857,0.0010105117,0.77187616,0.04943883],"study_design_scores_gemma":[0.0037395116,0.0041762185,0.24566212,0.00004036818,0.00019008439,0.000027244012,0.00538486,0.30133572,0.0106560625,0.0017173312,0.423288,0.0037825094],"about_ca_topic_score_codex":0.0016568213,"about_ca_topic_score_gemma":0.00077107496,"teacher_disagreement_score":0.7360305,"about_ca_system_score_codex":0.00042148642,"about_ca_system_score_gemma":0.000011017774,"threshold_uncertainty_score":0.999099},"labels":[],"label_agreement":null},{"id":"W1545460039","doi":"10.1111/j.1530-9290.2012.00563.x","title":"Greenhouse Gas Emission Scenario Modeling for Cities Using the PURGE Model","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Stock (firearms); Environmental science; Climate change; Natural resource economics; Industrial ecology; Business; Environmental economics; Economics; Engineering; Sustainability","score_opus":0.08507436466591776,"score_gpt":0.29679755308359584,"score_spread":0.21172318841767807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1545460039","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926986,0.000032591375,0.0055723717,0.0007464458,0.00047563598,0.00026945258,0.0000036329218,0.000005081264,0.00019615704],"genre_scores_gemma":[0.9974671,0.000016532213,0.0015746593,0.00020709189,0.0005292502,0.0000036523113,5.4609006e-7,0.000014847575,0.00018632527],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998629,0.000118843294,0.00046942566,0.00009864525,0.00022529639,0.00045881502],"domain_scores_gemma":[0.9991917,0.00014793807,0.0002997717,0.00014626175,0.00001611864,0.00019819629],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001472509,0.00013084356,0.00024129654,0.0000406886,0.000278395,0.000021967513,0.00024704915,0.00022118645,0.0003329064],"category_scores_gemma":[0.00045247294,0.00008490254,0.00015443891,0.00007600105,0.0001836798,0.0005076245,0.00015498581,0.00039656795,0.0000039558504],"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":[0.0005965745,0.00039663003,0.2880232,0.0000064736487,0.00004468365,0.000005102033,0.0018236612,0.6940265,0.0053262655,0.000049538387,0.0040805982,0.005620752],"study_design_scores_gemma":[0.0033961397,0.0008360301,0.0030116541,0.000029499484,0.0002080541,0.0002616523,0.0040496914,0.9768539,0.0023888364,0.0062293373,0.0023382765,0.00039692712],"about_ca_topic_score_codex":0.00009679426,"about_ca_topic_score_gemma":0.000025002133,"teacher_disagreement_score":0.28501156,"about_ca_system_score_codex":0.0007994286,"about_ca_system_score_gemma":0.000080707105,"threshold_uncertainty_score":0.36450917},"labels":[],"label_agreement":null},{"id":"W1562390198","doi":"10.1155/2015/765472","title":"Study on Clean Development Mechanism, Quantitative and Sustainable Mechanism","year":2015,"lang":"en","type":"article","venue":"Advances in Meteorology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Clean Development Mechanism; Sustainable development; Mechanism (biology); Market mechanism; Market share; Business; Quarter (Canadian coin); Market development; Environmental economics; Natural resource economics; Economics; Market economy; Climate change; Geography; Finance; Political science","score_opus":0.022068766070800317,"score_gpt":0.3055005775269473,"score_spread":0.283431811456147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1562390198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99170816,0.00011403548,0.0015924547,0.00009807677,0.00008177084,0.00061112345,5.929412e-7,0.000025788533,0.005768011],"genre_scores_gemma":[0.9932044,0.00002405678,0.0059058024,0.00028396279,0.000005444406,0.00008247448,0.0000014612766,0.000013965716,0.00047841156],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99820566,0.0002936744,0.00024930976,0.00045680202,0.00025705458,0.00053752546],"domain_scores_gemma":[0.99943435,0.00010907071,0.00006941295,0.00022398827,0.000006924782,0.00015627692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013494769,0.00018791041,0.00024349683,0.00007047318,0.00011503821,0.00001315522,0.00018417313,0.00006644823,0.00013731443],"category_scores_gemma":[0.00020197692,0.00016557347,0.000016541773,0.00017770633,0.00023160316,0.0004646302,0.00041433852,0.00016945007,0.00009632175],"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":[0.0013605339,0.0033647467,0.61950636,0.000046750534,0.000058674632,0.0009943874,0.0519981,0.0037487668,0.0010104899,0.27676594,0.00011854404,0.04102668],"study_design_scores_gemma":[0.003916405,0.0089181075,0.21277317,0.00000793932,0.000028359633,0.000028462173,0.25445184,0.0002785392,0.008739558,0.497088,0.012947733,0.0008219004],"about_ca_topic_score_codex":0.00016670063,"about_ca_topic_score_gemma":0.0007170079,"teacher_disagreement_score":0.40673319,"about_ca_system_score_codex":0.0005818116,"about_ca_system_score_gemma":0.000023538076,"threshold_uncertainty_score":0.675189},"labels":[],"label_agreement":null},{"id":"W1563516517","doi":"10.1021/es0629110","title":"Embodied Environmental Emissions in U.S. International Trade, 1997−2004","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":310,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Science Foundation","keywords":"Greenhouse gas; International trade; Trade volume; Economics; International economics; China; Currency; Work (physics); Natural resource economics; Environmental science; Geography; Engineering; Macroeconomics","score_opus":0.004748401430120979,"score_gpt":0.23942291971841922,"score_spread":0.23467451828829825,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1563516517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9791621,0.00009694766,0.00020641419,0.0015529075,0.00028456416,0.00049272313,0.00003408576,0.00012903138,0.018041234],"genre_scores_gemma":[0.99770427,0.000079849306,0.0011666124,0.00037256116,0.000035131994,0.000029365057,0.000028216898,0.000030877374,0.0005530985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956858,0.000035186113,0.0006290176,0.001137882,0.0011115444,0.0014005671],"domain_scores_gemma":[0.99864006,0.000043380955,0.00016016068,0.0007334054,4.1824146e-7,0.0004225679],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0013293944,0.00040352278,0.00029238808,0.00062339986,0.00048511778,0.00004239614,0.0015203279,0.00030023078,0.0068090814],"category_scores_gemma":[0.00007899796,0.0003972006,0.000107263855,0.0011850962,0.0058278437,0.00087914086,0.0013530526,0.0006074103,0.00081893743],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041358337,0.00083896343,0.72026956,0.0000014664178,0.000005870745,0.00011262175,0.00056341256,0.00025605143,0.23986292,0.00018755626,0.00016218709,0.037698034],"study_design_scores_gemma":[0.00092513335,0.00019206567,0.8932244,0.000009309126,0.000009576013,0.00011599165,0.0045009367,0.0002974251,0.055828493,0.0019026675,0.04239434,0.0005996416],"about_ca_topic_score_codex":0.00005552421,"about_ca_topic_score_gemma":0.000058742535,"teacher_disagreement_score":0.18403444,"about_ca_system_score_codex":0.004615117,"about_ca_system_score_gemma":0.000023308148,"threshold_uncertainty_score":0.99995905},"labels":[],"label_agreement":null},{"id":"W1565092930","doi":"","title":"Changement de l'efficacité énergétique pour fins de chauffage dans le secteur résidentiel au Québec, 1989-1998","year":2001,"lang":"fr","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.01856906249702913,"score_gpt":0.2815905881592419,"score_spread":0.26302152566221276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1565092930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91560525,0.00018947356,0.00024995752,0.0032666258,0.0002459581,0.001496301,0.00011049083,0.00005067118,0.078785285],"genre_scores_gemma":[0.93590385,0.012827662,0.001085835,0.00033524152,0.0003899356,0.0005165527,0.000068888374,0.0001434903,0.04872857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9919687,0.0013988013,0.00105782,0.0018136794,0.0006065966,0.003154415],"domain_scores_gemma":[0.9963202,0.0005386707,0.0003109207,0.001742142,0.000018530827,0.0010695432],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004992928,0.00079736474,0.0008217832,0.0003043409,0.00079201895,0.00022876421,0.0017126977,0.00088802254,0.002150136],"category_scores_gemma":[0.00054615625,0.0009515799,0.00046876565,0.00028624182,0.0018303336,0.00038004166,0.0033671078,0.0026415905,0.00042822363],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018240043,0.002048084,0.77428365,0.00030513987,0.00014347275,0.00044955275,0.010010495,0.08668664,0.007850232,0.0003219455,0.0002951646,0.11742321],"study_design_scores_gemma":[0.0013004728,0.0002856591,0.888051,0.00019263264,0.000033351243,0.00011029625,0.011543348,0.02875927,0.0040951096,0.002806443,0.061665215,0.0011572371],"about_ca_topic_score_codex":0.22550105,"about_ca_topic_score_gemma":0.34364218,"teacher_disagreement_score":0.118141115,"about_ca_system_score_codex":0.04424488,"about_ca_system_score_gemma":0.002600616,"threshold_uncertainty_score":0.99965936},"labels":[],"label_agreement":null},{"id":"W1566248814","doi":"10.1023/a:1011117319932","title":"The Role of Water in Manufacturing","year":2001,"lang":"en","type":"article","venue":"Environmental and Resource Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"Department of Water Resources","keywords":"Water intake; Environmental science; Water use; Production (economics); Business; Agricultural economics; Water resource management; Economics; Microeconomics","score_opus":0.0019932034567260912,"score_gpt":0.14987129856973772,"score_spread":0.14787809511301162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1566248814","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98779374,0.0001566956,7.5668623e-7,0.0001492221,0.000013814628,0.0001289852,0.0000024226513,0.0000044097533,0.011749926],"genre_scores_gemma":[0.99825966,0.0005546324,0.000022805414,0.00005618234,0.000012818768,0.000006657094,0.0000039389092,0.000010098322,0.0010731831],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999209,0.000031630196,0.0002143703,0.00019920713,0.0000663307,0.0002794799],"domain_scores_gemma":[0.9996671,0.00002983741,0.000038472404,0.00019257613,8.256684e-8,0.00007193942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022978714,0.00011268616,0.00010870082,0.000014456376,0.0001398035,0.000015513924,0.00013915781,0.000053294676,0.00068122125],"category_scores_gemma":[0.0000017360377,0.00007153808,0.000038705715,0.000010111539,0.00046958379,0.00011106371,0.000324595,0.00010819706,0.00008982413],"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":[0.00006233135,0.000093251634,0.9212231,0.0000019104266,0.000006612044,0.000003560634,0.00097647833,0.00147743,0.008650757,0.000028352006,0.0000109410585,0.067465246],"study_design_scores_gemma":[0.00031145973,0.000050565468,0.7077159,0.0000017702241,0.000004244315,0.000019322451,0.0035274702,0.00042498345,0.045747656,0.00263905,0.23939931,0.00015825714],"about_ca_topic_score_codex":0.000120173165,"about_ca_topic_score_gemma":0.00006651149,"teacher_disagreement_score":0.23938838,"about_ca_system_score_codex":0.00019871436,"about_ca_system_score_gemma":7.861439e-7,"threshold_uncertainty_score":0.7458895},"labels":[],"label_agreement":null},{"id":"W159144430","doi":"10.32796/cice.2012.83.6032","title":"Energías renovables y cambio climático","year":2012,"lang":"es","type":"article","venue":"Cuadernos Económicos de ICE","topic":"Environmental Impact and Sustainability","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":"WSP (Canada)","funders":"","keywords":"Environmental science","score_opus":0.013733225117230796,"score_gpt":0.25277263886986895,"score_spread":0.23903941375263815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W159144430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95790446,0.0026370836,0.00013847048,0.0009113433,0.0005512902,0.00048597486,0.00007564897,0.00009646046,0.037199263],"genre_scores_gemma":[0.9901276,0.001144273,0.0006024102,0.0017260669,0.0005205669,0.000038012204,0.00002463307,0.000084828374,0.005731587],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958729,0.00032479558,0.00061890116,0.0006778504,0.00045990173,0.0020456333],"domain_scores_gemma":[0.9975717,0.00019649537,0.00025373962,0.0009866931,0.000010446974,0.0009809246],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0010812572,0.0005714743,0.00048023064,0.00007696816,0.00042547483,0.0002136939,0.00068029604,0.00044918642,0.014785077],"category_scores_gemma":[0.0002091632,0.0005929972,0.00026177813,0.00027378576,0.000830005,0.0012926216,0.0006162601,0.00053073186,0.0076067643],"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":[0.000047840596,0.0010212561,0.9634023,0.00012414486,0.00006722359,0.000019905008,0.002053577,0.00014914626,0.015071868,0.0008979708,0.0057301256,0.011414687],"study_design_scores_gemma":[0.000580617,0.00012871866,0.78076315,0.000048779275,0.00011154839,0.00008835436,0.0019754665,0.00034757555,0.023451617,0.00039687796,0.19130182,0.000805452],"about_ca_topic_score_codex":0.0010260674,"about_ca_topic_score_gemma":0.000045809116,"teacher_disagreement_score":0.18557169,"about_ca_system_score_codex":0.0020804994,"about_ca_system_score_gemma":0.00005859153,"threshold_uncertainty_score":0.99965215},"labels":[],"label_agreement":null},{"id":"W1596804757","doi":"10.1002/9781118528372.ch8","title":"Exergy Analysis and its Connection to Life Cycle Assessment","year":2012,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"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 Ontario Institute of Technology","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment","keywords":"Exergy; Life-cycle assessment; Connection (principal bundle); Environmental science; Engineering; Process engineering; Economics; Mechanical engineering; Macroeconomics; Production (economics)","score_opus":0.006602308964183203,"score_gpt":0.2623928272031134,"score_spread":0.25579051823893023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1596804757","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04071777,0.0001123232,0.0016940911,0.0002085508,0.000085751,0.0004043987,0.000015330406,0.0000913672,0.9566704],"genre_scores_gemma":[0.4724595,0.00005027562,0.00079829094,0.0003837978,0.00005240292,0.000025108298,0.000016344795,0.00007391981,0.5261404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989322,0.000051277242,0.00013597072,0.00035150594,0.0002413436,0.00028772964],"domain_scores_gemma":[0.9992502,0.000014730855,0.00006346965,0.0002637499,0.0000011495072,0.00040675115],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016788844,0.0002001761,0.0002653133,0.00011773199,0.000053246866,0.000024131763,0.00010010697,0.0001471736,0.14314234],"category_scores_gemma":[0.000018131126,0.00017072726,0.00007663527,0.00031264088,0.00005363406,0.00009197032,0.00025159493,0.000087154236,0.00075599144],"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":[0.000023066119,0.00070188864,0.7279142,0.00008707431,0.0009824467,0.0000064913456,0.00040704233,0.0015348607,0.00080223026,0.00060775504,0.24585052,0.021082431],"study_design_scores_gemma":[0.00015246197,0.00006526572,0.6604877,0.000004817087,0.0003664677,9.806176e-7,0.00022248193,0.00066687353,0.000086221386,0.000044965862,0.3374765,0.00042521866],"about_ca_topic_score_codex":0.0027834517,"about_ca_topic_score_gemma":0.0015011504,"teacher_disagreement_score":0.4317417,"about_ca_system_score_codex":0.00029892937,"about_ca_system_score_gemma":0.0000050523204,"threshold_uncertainty_score":0.97169924},"labels":[],"label_agreement":null},{"id":"W15997404","doi":"10.1007/978-3-322-81507-1_5","title":"General Motors Corporation (Canada)","year":2003,"lang":"de","type":"book-chapter","venue":"Deutscher Universitätsverlag eBooks","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Athabasca University; General Motors (Canada)","funders":"","keywords":"Automotive industry; Competitor analysis; Business; Stakeholder; Truck; Corporation; Product (mathematics); Accountability; Corporate social responsibility; Industrial organization; General motors; Public disclosure; Environmental economics; Engineering; Marketing; Economics; Finance; Management; Automotive engineering; Ecology","score_opus":0.010305737299815676,"score_gpt":0.17849259375191032,"score_spread":0.16818685645209464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W15997404","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09618177,0.00014211255,0.00025305894,0.0003169152,0.0012026015,0.0012047107,0.00023914073,0.000074795724,0.9003849],"genre_scores_gemma":[0.23986371,0.00008354406,0.0006382838,0.0020314017,0.00016566193,0.0000043709,0.00015494737,0.0001419043,0.75691617],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9957668,0.00016901502,0.000593032,0.001211443,0.001322882,0.0009368378],"domain_scores_gemma":[0.9975746,0.00006129688,0.0005290442,0.0010406335,0.000038843456,0.0007555673],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00029943086,0.0010408836,0.00070433324,0.00013110985,0.0006818235,0.00010498323,0.0007060965,0.00079439784,0.015614057],"category_scores_gemma":[0.000020190226,0.0011888874,0.00037909448,0.000061157996,0.0010600305,0.00046064594,0.00048173836,0.0009029956,0.0011171033],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002313173,0.0012756725,0.09866883,0.0009054731,0.0049485886,0.011324324,0.007029236,0.005881509,0.032588076,0.53631717,0.23120916,0.06753878],"study_design_scores_gemma":[0.0009883249,0.0002325616,0.0037388525,0.000047154193,0.0004586208,0.000020154157,0.0005187852,0.0002428877,0.0015517387,0.0018621978,0.98880273,0.0015360208],"about_ca_topic_score_codex":0.06510165,"about_ca_topic_score_gemma":0.054756954,"teacher_disagreement_score":0.7575935,"about_ca_system_score_codex":0.0051856185,"about_ca_system_score_gemma":0.00039421723,"threshold_uncertainty_score":0.9996607},"labels":[],"label_agreement":null},{"id":"W1608581349","doi":"10.1002/2014ef000258","title":"A critical knowledge pathway to low‐carbon, sustainable futures: Integrated understanding of urbanization, urban areas, and carbon","year":2014,"lang":"en","type":"article","venue":"Earth s Future","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":132,"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":"","keywords":"Urbanization; Futures contract; Urban climate; Viewpoints; Environmental planning; Urban planning; Urban ecosystem; Economic geography; Natural resource economics; Environmental resource management; Geography; Business; Environmental science; Economic growth; Economics; Engineering; Civil engineering","score_opus":0.005086371441662218,"score_gpt":0.21126158437164733,"score_spread":0.2061752129299851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1608581349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97293127,0.00026978526,0.000945366,0.00052091596,0.00017623651,0.00040987428,0.000006666663,0.00005593856,0.024683958],"genre_scores_gemma":[0.9967315,0.000008936213,0.00025406666,0.00016101786,0.00021737383,0.000009610427,0.000009000122,0.000024491024,0.0025839785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984556,0.00015789356,0.00025444943,0.00039920118,0.00025400388,0.00047884384],"domain_scores_gemma":[0.9991875,0.00008136753,0.000050253355,0.00033124903,0.0000318226,0.00031779998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039310503,0.00022905004,0.00025477383,0.00006883604,0.00021432883,0.000048859576,0.00015936118,0.00015570408,0.00028696255],"category_scores_gemma":[0.00036172813,0.00019729038,0.000045381854,0.00048550544,0.0003084371,0.00017110503,0.0002067208,0.00020273833,0.000009035665],"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":[0.00021734562,0.0006649273,0.89991915,0.0005246683,0.000041520536,0.000034254466,0.027719276,0.00033827976,0.0066917986,0.055691842,0.0045821816,0.003574755],"study_design_scores_gemma":[0.0017841834,0.0014467783,0.7546993,0.00017554112,0.00009289723,0.00002927063,0.08660853,0.005645251,0.011643664,0.014272082,0.12209846,0.0015040745],"about_ca_topic_score_codex":0.00028535697,"about_ca_topic_score_gemma":0.0002828418,"teacher_disagreement_score":0.14521988,"about_ca_system_score_codex":0.0003145745,"about_ca_system_score_gemma":0.000032950597,"threshold_uncertainty_score":0.8045268},"labels":[],"label_agreement":null},{"id":"W1626762580","doi":"10.25336/p6w905","title":"Population growth, energy use, and environmental impact: Comparing the Canadian and Swedish records on CO2 emissions","year":2014,"lang":"en","type":"article","venue":"Canadian Studies in Population","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Western University","funders":"","keywords":"Greenhouse gas; Fossil fuel; Population; Population growth; Natural resource economics; Developing country; Climbing; Economics; Geography; Development economics; Economy; Economic growth; Ecology; Demography; Sociology","score_opus":0.02563388630425067,"score_gpt":0.26418771193969287,"score_spread":0.2385538256354422,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1626762580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998089,0.00008007989,0.0000021340807,0.00045309975,0.0001038207,0.0001852199,0.000020394022,0.000007629667,0.0010586007],"genre_scores_gemma":[0.99913335,0.00008325708,0.00002757918,0.0004632602,0.00003376833,0.00001544607,0.00009022386,0.000013918872,0.00013920612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988156,0.0001243343,0.00020819185,0.00029525347,0.00016047475,0.00039616213],"domain_scores_gemma":[0.9992025,0.00009582923,0.000055083365,0.00019410161,0.0000028167776,0.0004496781],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029541706,0.00017675215,0.00018205302,0.000109169356,0.00072760537,0.00006030268,0.00007968217,0.000074668176,0.00006805664],"category_scores_gemma":[0.0002154074,0.00014193363,0.000026213267,0.00012534828,0.00028123608,0.00030548542,0.00007439862,0.00013735588,0.00000396651],"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":[0.000005424388,0.000007116795,0.9955511,0.0000034035002,0.000007307937,0.0000028402853,0.0004919214,0.0005807902,0.00000658122,0.0003120791,0.00048627588,0.0025451717],"study_design_scores_gemma":[0.00016102052,0.00004439891,0.9935865,0.0000149205725,0.000010161238,0.0000071340614,0.0004972119,0.0027281204,0.000003177065,0.0016672579,0.001117239,0.00016287489],"about_ca_topic_score_codex":0.96110034,"about_ca_topic_score_gemma":0.9931476,"teacher_disagreement_score":0.03204731,"about_ca_system_score_codex":0.0033919672,"about_ca_system_score_gemma":0.000014095544,"threshold_uncertainty_score":0.8869876},"labels":[],"label_agreement":null},{"id":"W1659515507","doi":"10.1109/cecnet.2011.5769175","title":"Notice of Retraction: Comparison and analysis of carbon emissions from energy consumption between China and Canada","year":2011,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Notice; Energy consumption; China; Consumption (sociology); Environmental science; Carbon fibers; Greenhouse gas; Computer science; Engineering; Political science; Geology; Electrical engineering; Algorithm","score_opus":0.01752372364379221,"score_gpt":0.23052344782790615,"score_spread":0.21299972418411395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1659515507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947387,0.00003645789,0.00012702761,0.000024229837,0.000013447172,0.000034990775,0.000025261379,0.000003443494,0.004996438],"genre_scores_gemma":[0.9994785,0.000031187818,0.0003653317,0.000010630891,0.0000030981803,6.848014e-7,0.000014225488,0.0000024923045,0.000093852206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993603,0.000041592924,0.00020421334,0.00015072284,0.00015692788,0.00008621241],"domain_scores_gemma":[0.9995933,0.000058522717,0.000099441095,0.00014427827,0.0000025297738,0.00010193185],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000082641134,0.00007011756,0.0002153039,0.00002583502,0.00003517198,0.000002281369,0.000046309266,0.000052701333,0.0014746315],"category_scores_gemma":[0.00001679177,0.00006004258,0.000021456697,0.00010529515,0.00019442022,0.00006949448,0.000073607,0.00005162921,1.2980699e-7],"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":[0.0000110467645,0.00003563238,0.9964683,0.000004362002,0.000073661664,4.1150793e-7,0.00041124586,0.000029314277,0.0016310121,0.000010345252,0.000024359702,0.0013002808],"study_design_scores_gemma":[0.00008290295,0.000030075978,0.98813444,0.0000021118249,0.0003122074,1.5097707e-7,0.00039020777,0.0015091341,0.009374587,0.000051213712,0.000050169634,0.00006281595],"about_ca_topic_score_codex":0.94366866,"about_ca_topic_score_gemma":0.54881424,"teacher_disagreement_score":0.39485443,"about_ca_system_score_codex":0.00009851436,"about_ca_system_score_gemma":0.00000861183,"threshold_uncertainty_score":0.99943817},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":true,"confidence":"low"},{"model":"gpt","categories":["research_integrity"],"domain":null,"study_design":"not_applicable","genre":"editorial","about_ca_system":false,"about_ca_topic":true,"confidence":"high"}],"label_agreement":"split"},{"id":"W1679483863","doi":"10.3917/re.066.0084","title":"Analyse du cycle de vie et protection de l'environnement : pertinence et limites de l'outil","year":2012,"lang":"fr","type":"article","venue":"Annales des Mines - Responsabilité et environnement","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Humanities; Political science; Philosophy; Physics","score_opus":0.02482862582380269,"score_gpt":0.28377933759712637,"score_spread":0.2589507117733237,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1679483863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95652574,0.007533535,0.0074070315,0.025038127,0.0001929052,0.0015544952,0.00010841488,0.000107563676,0.0015321845],"genre_scores_gemma":[0.9743821,0.0050579417,0.011242551,0.004270993,0.00023026494,0.00058871077,0.00004969984,0.00012844968,0.0040492667],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9900632,0.0038979156,0.0011374069,0.0011749103,0.0009518273,0.0027747494],"domain_scores_gemma":[0.9961538,0.0007709936,0.00040993677,0.0013266058,0.000024145947,0.0013145639],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008532185,0.0010267068,0.00066174596,0.00018973825,0.0007701191,0.00020456924,0.0007522782,0.00045591051,0.0066485917],"category_scores_gemma":[0.0016218831,0.0010382893,0.0005916092,0.00048680638,0.0027745187,0.0017282342,0.0010094808,0.0007271027,0.0006099277],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00064193236,0.0058279075,0.8510709,0.00039290526,0.00015264309,0.000044456654,0.02236362,0.01431312,0.059589908,0.0007972398,0.0007949605,0.044010438],"study_design_scores_gemma":[0.0009038036,0.0009522911,0.8234341,0.00016890935,0.00029612725,0.00017242105,0.0073454464,0.0044609983,0.01019688,0.0013713157,0.14969003,0.001007671],"about_ca_topic_score_codex":0.0050061005,"about_ca_topic_score_gemma":0.0034085491,"teacher_disagreement_score":0.14889507,"about_ca_system_score_codex":0.006783513,"about_ca_system_score_gemma":0.00025262262,"threshold_uncertainty_score":0.9999394},"labels":[],"label_agreement":null},{"id":"W170249044","doi":"10.1007/978-1-84628-976-7_74","title":"Geotraceability and life cycle assessment in environmental life cycle management: towards sustainability","year":2007,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Life-cycle assessment; Sustainability; Product lifecycle; Product (mathematics); Product life-cycle management; Environmental economics; Environmental resource management; Environmental impact assessment; Engineering; Production (economics); Business; New product development; Environmental science; Marketing; Economics; Ecology","score_opus":0.009884910922210687,"score_gpt":0.25860053386498844,"score_spread":0.24871562294277774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W170249044","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34013167,0.00020598045,0.00019601698,0.00053852476,0.00009504114,0.002276366,0.00006156341,0.000099998244,0.65639484],"genre_scores_gemma":[0.8946263,0.00044040752,0.0010870531,0.0007910573,0.0000549515,0.000064283326,0.000070289374,0.00010576409,0.1027599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99427557,0.0001337229,0.0012304025,0.001883556,0.0012641062,0.0012126621],"domain_scores_gemma":[0.9971008,0.00011946851,0.0002935978,0.0014065508,0.0000076038123,0.001071998],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020510925,0.0010190078,0.00092444965,0.00019216223,0.00027206296,0.00010101043,0.0005732428,0.00069322885,0.025119912],"category_scores_gemma":[0.000084569765,0.0010107033,0.00030159295,0.000103474114,0.0018454937,0.00058882433,0.002099388,0.0011729478,0.00027272094],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005876604,0.0036025865,0.7037242,0.0013565636,0.00039631382,0.00076257397,0.0016683276,0.0063788313,0.000023119046,0.025183218,0.0009952507,0.25532132],"study_design_scores_gemma":[0.0011787481,0.00021888937,0.9263521,0.00002596076,0.00010279869,0.000008512068,0.0017251299,0.0011598059,0.000006719111,0.04748813,0.02050491,0.0012283275],"about_ca_topic_score_codex":0.001124606,"about_ca_topic_score_gemma":0.00052096735,"teacher_disagreement_score":0.5544946,"about_ca_system_score_codex":0.0061664023,"about_ca_system_score_gemma":0.00009766424,"threshold_uncertainty_score":0.9992343},"labels":[],"label_agreement":null},{"id":"W1710539048","doi":"10.3968/j.ans.1715787020100301.006","title":"The Dynamic Analysis on Tourism Ecological Footprints in Liaoning Province","year":2010,"lang":"en","type":"article","venue":"Advances in natural science/Advances in natural sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tourism; Ecological footprint; Ecological deficit; Sustainable development; Ecotourism; Ecology; Geography; Environmental resource management; Business; Environmental science; Biology","score_opus":0.0030028751139920956,"score_gpt":0.2881045760773066,"score_spread":0.2851017009633145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1710539048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98281807,0.0037939309,0.000008576042,0.00087062945,0.0015674818,0.00066260266,0.000002036061,0.00003998034,0.010236689],"genre_scores_gemma":[0.9959678,0.0013897704,0.0020666905,0.00021763916,0.000033349235,0.000055816778,0.0000016289113,0.000007954556,0.00025935608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939599,0.00018974114,0.0007597857,0.0015969076,0.0017198008,0.0017738321],"domain_scores_gemma":[0.9979564,0.0009538388,0.00029141444,0.00057343574,0.000019391207,0.00020554205],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0044383896,0.00043269037,0.0004663458,0.0005546786,0.0011759772,0.0002785096,0.0029687067,0.00014522589,0.00013778057],"category_scores_gemma":[0.0017307667,0.00026269053,0.00014927045,0.008517793,0.009003326,0.0051995623,0.00086866587,0.0018080017,0.00002996259],"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":[0.00008932935,0.00023914682,0.7831561,0.000007027821,0.0000030528784,0.00005600936,0.00022534099,0.035126865,0.0044602333,0.0018912059,0.0000027773995,0.17474294],"study_design_scores_gemma":[0.00041537755,0.00020361273,0.9553768,0.000026491767,0.000007354434,0.000007902289,0.0008701428,0.02253366,0.0012125006,0.014953132,0.0038691266,0.0005238883],"about_ca_topic_score_codex":0.00038546798,"about_ca_topic_score_gemma":0.08070354,"teacher_disagreement_score":0.17421906,"about_ca_system_score_codex":0.0016025422,"about_ca_system_score_gemma":0.00014013186,"threshold_uncertainty_score":0.99998254},"labels":[],"label_agreement":null},{"id":"W1760245380","doi":"","title":"Inventário de emissões e remoções antrópicas de gases de efeito estufa não controlados pelo Protocolo de Montreal: comunicação inicial do Brasil","year":2010,"lang":"pt","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.011688817364514022,"score_gpt":0.2953598363058263,"score_spread":0.28367101894131225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1760245380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98057777,0.00011861546,0.0005435733,0.0016043822,0.00013817722,0.0072278106,0.00006489986,0.00018353586,0.00954126],"genre_scores_gemma":[0.98922956,0.00018139937,0.0031833919,0.0019054192,0.00025053576,0.0011822208,0.0000125532915,0.00010029675,0.003954618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9937174,0.0009911032,0.0009698606,0.0010474097,0.0007329417,0.002541289],"domain_scores_gemma":[0.9958542,0.00061132776,0.0003767876,0.0014491993,0.000026717567,0.0016817475],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025264157,0.00082765,0.00081955985,0.00010177823,0.0007714473,0.0004028684,0.0014492166,0.00082431134,0.005111133],"category_scores_gemma":[0.0015329232,0.0007768484,0.00043805793,0.00031206492,0.0017237953,0.0006792738,0.00096197013,0.0015246674,0.00032185824],"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":[0.00075782364,0.0018956059,0.9183661,0.00010823805,0.000080433325,0.00029225653,0.005864988,0.00029700497,0.054703776,0.00016744599,0.0037143081,0.013752018],"study_design_scores_gemma":[0.0030064876,0.0007672969,0.9547863,0.0000773085,0.00018191463,0.00027608563,0.0059942636,0.008096273,0.017331097,0.0034814014,0.0050132875,0.0009882916],"about_ca_topic_score_codex":0.017385041,"about_ca_topic_score_gemma":0.024739798,"teacher_disagreement_score":0.03737268,"about_ca_system_score_codex":0.002612736,"about_ca_system_score_gemma":0.00061286695,"threshold_uncertainty_score":0.99946827},"labels":[],"label_agreement":null},{"id":"W1761317471","doi":"10.1260/1708-5284.12.3.237","title":"A hybrid intelligent algorithm for optimum forecasting of CO<sub>2</sub> emission in complex environments: the cases of Brazil, Canada, France, Japan, India, UK and US","year":2015,"lang":"en","type":"article","venue":"World Journal of Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"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":"University of Tehran","keywords":"Algorithm; Artificial neural network; Mean absolute percentage error; Co-training; Engineering; Statistics; Computer science; Artificial intelligence; Mathematics","score_opus":0.014159013942930211,"score_gpt":0.22840636771642817,"score_spread":0.21424735377349796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1761317471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99493676,0.0003229843,0.0043444457,0.00004441438,0.00006351103,0.00020678376,0.00002077129,0.0000013933782,0.000058905578],"genre_scores_gemma":[0.99711716,0.000040135874,0.0027342183,0.00003596419,0.000026446183,0.0000039288066,0.0000026895234,0.00001329423,0.000026180867],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99879056,0.000026028098,0.0005088984,0.00011112313,0.0003260252,0.0002373848],"domain_scores_gemma":[0.9992723,0.00017349965,0.0002614356,0.00011930761,0.000008360581,0.00016510312],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005407939,0.00013918165,0.00027241217,0.00007762161,0.000036107747,0.000008166606,0.00016227375,0.000021919943,0.000027146481],"category_scores_gemma":[0.00013407564,0.00010949727,0.0000568644,0.000119342185,0.000119265605,0.000135441,0.00009436566,0.0001680639,1.8443053e-7],"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":[0.00009896834,0.00024183354,0.4694998,0.00012821495,0.000079050486,0.00011426059,0.0011807117,0.37026966,0.08150973,0.000006405066,0.0016999372,0.07517143],"study_design_scores_gemma":[0.002139574,0.00067464466,0.54471356,0.00029491712,0.000070171925,0.00040372013,0.0014715424,0.17413297,0.26507318,0.00011018491,0.010425744,0.0004897987],"about_ca_topic_score_codex":0.0036818779,"about_ca_topic_score_gemma":0.0015859139,"teacher_disagreement_score":0.19613668,"about_ca_system_score_codex":0.00042755896,"about_ca_system_score_gemma":0.00003532929,"threshold_uncertainty_score":0.5565922},"labels":[],"label_agreement":null},{"id":"W1801904989","doi":"10.3968/j.css.1923669720060203.001","title":"China Green Input-output Accounting: Coal, Efficiency of Power Generation and Green House Gas Emissions (1992–2020)","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Non-renewable resource; Coal; Forestry; Accounting method; Welfare economics; Natural resource economics; Renewable energy; Economics; Economy; Humanities; Geography; Engineering; Accounting; Philosophy; Waste management","score_opus":0.008460024361797654,"score_gpt":0.2339793147442342,"score_spread":0.22551929038243654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1801904989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97571445,0.000021613245,0.000049629198,0.0018983155,0.00005674834,0.00021928706,0.000015230458,0.000023510107,0.02200122],"genre_scores_gemma":[0.9989188,0.0000071089444,0.00009267398,0.0005820193,0.00006443459,0.0000022170311,0.0000023045575,0.000008643769,0.0003218285],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982679,0.000038363025,0.0002093445,0.00041045528,0.00048523964,0.00058868696],"domain_scores_gemma":[0.99909204,0.0000085685615,0.00008894209,0.00021322534,0.0000104851615,0.0005867322],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005469551,0.00014891235,0.0001515156,0.00007709176,0.0009220956,0.00007219147,0.00041197002,0.000088970344,0.00025287707],"category_scores_gemma":[0.00009315792,0.00014257545,0.000044858283,0.0006690696,0.001431603,0.0005415886,0.00011305939,0.0001323373,0.000020185456],"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":[0.000018073008,0.00022149926,0.728919,0.000015701997,0.0000075273374,0.00004148036,0.023950722,0.00012395007,0.12418806,0.0015534787,0.004759365,0.11620109],"study_design_scores_gemma":[0.00016253091,0.00011486978,0.9925313,0.000004138654,0.000008641028,0.0000054726197,0.00088572025,0.00054392073,0.0011400558,0.0005959162,0.0037605814,0.00024686236],"about_ca_topic_score_codex":0.06293072,"about_ca_topic_score_gemma":0.008643278,"teacher_disagreement_score":0.26361224,"about_ca_system_score_codex":0.00083579845,"about_ca_system_score_gemma":0.00020233788,"threshold_uncertainty_score":0.9433093},"labels":[],"label_agreement":null},{"id":"W1822602293","doi":"10.1139/cjfr-2015-0082","title":"Carbon impacts of hardwood lumber processing in the northeastern United States","year":2015,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Hardwood; Carbon fibers; Environmental science; Greenhouse gas; Wood processing; Electricity; Waste management; Environmental engineering; Engineering; Forestry; Pulp and paper industry; Agricultural economics; Mathematics; Geography; Economics","score_opus":0.04700112313578202,"score_gpt":0.3204581461149048,"score_spread":0.2734570229791228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1822602293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949165,0.00017102816,0.0000022970264,0.00079335656,0.000021859734,0.00015381088,0.000004060977,7.6863165e-7,0.003936303],"genre_scores_gemma":[0.9997744,0.000008190643,0.000027540895,0.0000553639,0.000024138983,0.000001881769,0.0000028123436,0.000008455268,0.00009720164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99808174,0.0003173238,0.0002799284,0.00009050693,0.0007200693,0.000510411],"domain_scores_gemma":[0.9989257,0.000054968605,0.000089602414,0.00018318783,0.00007719385,0.00066938216],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032057646,0.000078826495,0.00012990613,0.0002599303,0.00007834604,0.000057685316,0.0004508945,0.00004630376,0.00008772468],"category_scores_gemma":[0.000393631,0.00005269,0.00003596666,0.0007285741,0.0006226387,0.00022425322,0.00004269552,0.0004430242,0.0000073632914],"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":[0.000027382828,0.000037104568,0.9884769,0.000013306743,0.0000025407633,0.00013827802,0.0073704557,0.0028105483,0.0000340687,0.0000063941948,0.00022177736,0.0008612786],"study_design_scores_gemma":[0.00037708256,0.000321641,0.9847038,0.00004122123,0.000003815569,0.00006388273,0.010245915,0.00080381637,0.000101307065,0.0014051714,0.0018685468,0.00006381395],"about_ca_topic_score_codex":0.2056853,"about_ca_topic_score_gemma":0.5141201,"teacher_disagreement_score":0.30843478,"about_ca_system_score_codex":0.0008375649,"about_ca_system_score_gemma":0.0005969977,"threshold_uncertainty_score":0.7996041},"labels":[],"label_agreement":null},{"id":"W1841234867","doi":"10.3390/su71014408","title":"Influencing Factors of Energy-Related CO2 Emissions in China: A Decomposition Analysis","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":41,"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":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"China; Energy intensity; Greenhouse gas; Energy consumption; Natural resource economics; Energy mix; Efficient energy use; Environmental science; Energy conservation; Emission intensity; Energy (signal processing); Secondary sector of the economy; Driving factors; Economics; Economy; Engineering; Electricity generation; Geography","score_opus":0.0065061848077482085,"score_gpt":0.2657273575344203,"score_spread":0.25922117272667206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1841234867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969303,0.000027261722,0.0003765413,0.00018430878,0.00002540279,0.00025476242,0.0000070165147,0.000034662506,0.00215972],"genre_scores_gemma":[0.99957615,0.0000021203239,0.00011660808,0.000017221842,0.0000030432082,0.000013910272,0.00002705009,0.000009652158,0.00023426175],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979163,0.00030393407,0.00054632634,0.00041881987,0.00039290724,0.00042172614],"domain_scores_gemma":[0.9988948,0.00007048841,0.0001515418,0.0005262027,0.000045306246,0.00031166026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008944951,0.00020056123,0.00037824307,0.00017107726,0.000082256935,0.0000143499965,0.00022640535,0.00013900813,0.0005948402],"category_scores_gemma":[0.0007836126,0.00017661786,0.00019088152,0.0016762672,0.00043003212,0.00040700578,0.00029343498,0.00017476655,0.0000038447006],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000406021,0.00035753654,0.9642365,0.000017524299,0.000031289204,0.0000070385954,0.0034399359,0.031095864,0.00021649893,0.00015298271,0.000025114676,0.00037911366],"study_design_scores_gemma":[0.0003509943,0.00009759134,0.97387326,0.0000034640104,0.00007522943,7.856729e-7,0.0042977864,0.0018768434,0.0011795592,0.01799484,0.000073578914,0.00017604404],"about_ca_topic_score_codex":0.012759498,"about_ca_topic_score_gemma":0.0008988956,"teacher_disagreement_score":0.029219022,"about_ca_system_score_codex":0.004539754,"about_ca_system_score_gemma":0.00011694137,"threshold_uncertainty_score":0.99928164},"labels":[],"label_agreement":null},{"id":"W1849636060","doi":"10.24908/pceea.v0i0.3929","title":"MOVING TOWARD SUSTAINABLE DESIGN THROUGH THE UTILIZATION OF ECONOMIC INPUT-OUTPUT-BASED LIFE CYCLE ASSESSMENT METHODS","year":2011,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Environmental impact assessment; Environmental economics; Product (mathematics); Production (economics); Life cycle costing; Energy demand; Environmental science; Column (typography); Energy (signal processing); Engineering; Economics; Operations management; Mechanical engineering; Mathematics","score_opus":0.02801500880518204,"score_gpt":0.27820783888500367,"score_spread":0.2501928300798216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1849636060","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.900821,0.00012888279,0.034461446,0.008420971,0.0014037712,0.003184635,0.00002572634,0.00013207062,0.051421557],"genre_scores_gemma":[0.97713387,0.000004704221,0.02148774,0.00024229223,0.000026176322,0.000058773137,0.000002627578,0.000020951866,0.001022882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988938,0.000043867596,0.00031754182,0.00018602834,0.00023359325,0.0003251697],"domain_scores_gemma":[0.99914503,0.00008531698,0.00040572308,0.00015240021,0.00007151882,0.00014001816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001306791,0.00013849615,0.00015532733,0.000070075825,0.00019609327,0.000045307163,0.000375952,0.000104967155,0.0002756846],"category_scores_gemma":[0.00085866626,0.000106554835,0.000083588486,0.00029625316,0.00007058941,0.00042655153,0.000071438626,0.00014894281,0.000005044591],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024813715,0.00045946302,0.76220065,0.000565794,0.0001866633,1.823063e-7,0.023835728,0.1663377,0.0024301747,0.024616176,0.013285503,0.00605714],"study_design_scores_gemma":[0.00023779774,0.000056740737,0.9263589,0.000033225442,0.000083322026,6.953307e-7,0.0061352868,0.043277863,0.01184671,0.0040983595,0.0075747822,0.00029631157],"about_ca_topic_score_codex":0.03349474,"about_ca_topic_score_gemma":0.00077456824,"teacher_disagreement_score":0.16415824,"about_ca_system_score_codex":0.0058198553,"about_ca_system_score_gemma":0.00058232667,"threshold_uncertainty_score":0.9979966},"labels":[],"label_agreement":null},{"id":"W1855578080","doi":"10.5281/zenodo.1107699","title":"Life Cycle Assessment Of Residential Buildings: A Case Study In Canada","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Architectural engineering; Environmental planning; Geography; Engineering; Economics","score_opus":0.028402702382910996,"score_gpt":0.2736812226298557,"score_spread":0.24527852024694474,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1855578080","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790929,0.00000600755,0.0001307155,0.00014001355,0.00003159854,0.00042385003,0.000021955679,0.000039262886,0.02011368],"genre_scores_gemma":[0.9994973,0.0000021229212,0.00013437872,0.000053914457,0.0000129295195,4.8462745e-8,0.000026050497,0.00019322369,0.00008004016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837494,0.0003453277,0.00025485692,0.00026460318,0.0005039742,0.00025630544],"domain_scores_gemma":[0.9992342,0.000013091491,0.00007660619,0.00031045845,0.000034767654,0.00033085668],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00086840574,0.00009059016,0.00012478766,0.000056412,0.00035238947,0.00009064282,0.0004174453,0.000020790552,0.007330425],"category_scores_gemma":[0.00050426164,0.000094061244,0.000018290644,0.00035006026,0.00011764497,0.00022871218,0.0012125039,0.00015090733,0.0001810912],"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":[0.00052926096,0.006725981,0.4806485,0.00020233619,0.000181114,0.008427667,0.040520847,0.080372036,0.004750656,0.00044472463,0.26021853,0.11697835],"study_design_scores_gemma":[0.004592975,0.0016674794,0.69644916,0.000023402776,0.00004293048,0.0010282033,0.121722415,0.008470356,0.00028870621,0.00027469825,0.16475342,0.00068623293],"about_ca_topic_score_codex":0.5684426,"about_ca_topic_score_gemma":0.04857652,"teacher_disagreement_score":0.5198661,"about_ca_system_score_codex":0.0018751487,"about_ca_system_score_gemma":0.000033769767,"threshold_uncertainty_score":0.993577},"labels":[],"label_agreement":null},{"id":"W186226966","doi":"","title":"HOW CAN TEMPORAL CONSIDERATIONS OPEN NEW OPPORTUNITIES FOR LCA INDUSTRY APPLICATIONS?","year":2013,"lang":"en","type":"preprint","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Carbon footprint; Computer science; Footprint; Identification (biology); Ecological footprint; Resource (disambiguation); System dynamics; Natural resource; Risk analysis (engineering); Sustainability; Greenhouse gas; Artificial intelligence; Business","score_opus":0.04843271376147181,"score_gpt":0.2734973825111754,"score_spread":0.22506466874970357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W186226966","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2774746,0.0008345127,0.4799703,0.19679195,0.0003715081,0.032077458,0.0020531444,0.00121557,0.0092109535],"genre_scores_gemma":[0.8013575,0.000117516574,0.13558632,0.0057105096,0.000254779,0.013700532,0.00058879686,0.00013884592,0.042545196],"study_design_codex":"not_applicable","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9969518,0.00016819837,0.0006038086,0.0009711452,0.00042007575,0.0008849616],"domain_scores_gemma":[0.99669534,0.00013893995,0.00049651385,0.0017266008,0.000041789477,0.00090080523],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00064317085,0.0006492981,0.0006323406,0.00015408383,0.00060007104,0.0016743675,0.0013186986,0.0012228688,0.0010939115],"category_scores_gemma":[0.00022018127,0.00067348935,0.00025334334,0.00016714096,0.00046404696,0.00079295563,0.003480031,0.0013229066,0.000019501042],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013785085,0.001548227,0.3241584,0.00041812987,0.0003198523,0.00007871262,0.0017151516,0.0132119525,0.002620572,0.041266218,0.5294643,0.08506062],"study_design_scores_gemma":[0.0023709135,0.0005484667,0.14959882,0.00018287908,0.0003830343,0.00017398,0.0068321126,0.024277631,0.00822743,0.50110334,0.30203262,0.004268779],"about_ca_topic_score_codex":0.08210581,"about_ca_topic_score_gemma":0.013897692,"teacher_disagreement_score":0.5238829,"about_ca_system_score_codex":0.0023293484,"about_ca_system_score_gemma":0.000748768,"threshold_uncertainty_score":0.9998192},"labels":[],"label_agreement":null},{"id":"W1868218372","doi":"10.3968/j.sss.1923018420130403.z502","title":"Empirical Study on the Coordinated Development of Energy-Economy- Environment in Henan Province","year":2013,"lang":"en","type":"article","venue":"Studies in sociology of science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Bottleneck; Index (typography); Business; Economy; Energy (signal processing); Empirical research; Economics; Computer science; Operations management","score_opus":0.04150831490545301,"score_gpt":0.32105698778329395,"score_spread":0.2795486728778409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1868218372","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99640757,0.00006315111,0.000012690652,0.0007340675,0.00003805592,0.0005411409,4.6156242e-7,0.000003956195,0.002198921],"genre_scores_gemma":[0.9994136,0.00001686407,0.00017056531,0.0001666912,0.0000026861135,0.0001293861,1.9887055e-7,0.0000036801762,0.00009628955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831116,0.00018776738,0.00046899403,0.00040386495,0.00024602783,0.0003821837],"domain_scores_gemma":[0.99925137,0.0002557092,0.00014462386,0.00029534425,0.000008381782,0.00004456532],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016686223,0.00014350466,0.00029152865,0.00006382572,0.00019941779,0.000002437479,0.00053480844,0.000046183013,0.0001911673],"category_scores_gemma":[0.00018206183,0.00009296498,0.000027438275,0.0002453678,0.030280275,0.00016974451,0.0007962018,0.0001469487,0.000027264543],"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":[0.000011206647,0.0006814795,0.9357446,0.0000061299556,0.000010388328,0.000002000687,0.06097128,0.0003932435,0.0012084858,0.000094855866,0.0000950987,0.00078124047],"study_design_scores_gemma":[0.00024467387,0.00028405106,0.8584154,0.000007740479,0.000001878994,3.1073463e-7,0.13620816,0.00005957354,0.0018363313,0.0027556908,0.000088948786,0.00009720628],"about_ca_topic_score_codex":0.00016607976,"about_ca_topic_score_gemma":0.00010501392,"teacher_disagreement_score":0.07732916,"about_ca_system_score_codex":0.0009847347,"about_ca_system_score_gemma":0.000055714267,"threshold_uncertainty_score":0.97235876},"labels":[],"label_agreement":null},{"id":"W1874468070","doi":"10.1065/lca2006.10.279.1","title":"Environmental assessment of brownfield rehabilitation using two different life cycle inventory models","year":2006,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Brownfield; Redevelopment; Scope (computer science); Function (biology); Computer science; Life-cycle assessment; Order (exchange); Commodity; Rehabilitation; Environmental economics; Business; Environmental planning; Environmental science; Production (economics); Engineering; Civil engineering; Economics; Microeconomics","score_opus":0.015152495809468695,"score_gpt":0.3047034413349575,"score_spread":0.2895509455254888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1874468070","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878676,0.0000669409,0.0071277665,0.0015547818,0.00040272533,0.00026643192,0.00001778085,0.000008845498,0.0026871152],"genre_scores_gemma":[0.9953269,0.000031156294,0.003980025,0.0003483484,0.000224223,0.000008333871,0.000008378158,0.000021812926,0.00005085789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964473,0.00027377094,0.0010707006,0.00023430353,0.001699812,0.00027409501],"domain_scores_gemma":[0.99832356,0.0002465311,0.0008895517,0.00031847737,0.00003271877,0.00018914805],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001008337,0.00023475321,0.00033940308,0.00009460912,0.00012761682,0.000064243344,0.000766139,0.000063084684,0.0011498644],"category_scores_gemma":[0.000057938272,0.00017251376,0.00028906524,0.0000803491,0.0003817046,0.00069114973,0.0004203838,0.00033414277,0.0000049595214],"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":[0.0000909367,0.001286476,0.5047623,0.000010566276,0.00013550141,0.000009367729,0.000285553,0.47584653,0.014906892,0.001051969,0.00032676625,0.0012871316],"study_design_scores_gemma":[0.0013947649,0.00028173355,0.8216157,0.000035120705,0.00006774329,0.000022567803,0.0012489121,0.15996985,0.00048814487,0.014556282,0.00012058788,0.00019862631],"about_ca_topic_score_codex":0.0007893982,"about_ca_topic_score_gemma":0.00005642651,"teacher_disagreement_score":0.31685337,"about_ca_system_score_codex":0.0018460244,"about_ca_system_score_gemma":0.00011704081,"threshold_uncertainty_score":0.9997632},"labels":[],"label_agreement":null},{"id":"W1875944416","doi":"10.1139/cjce-2013-0465","title":"A comparison of greenhouse gas emissions in the residential sector of major Canadian cities","year":2014,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Dillon Consulting; University of Toronto","funders":"","keywords":"Greenhouse gas; Per capita; Stock (firearms); Agricultural economics; Occupancy; Natural resource economics; Energy consumption; Environmental science; Electricity; Business; Environmental protection; Geography; Economics; Engineering; Civil engineering; Population","score_opus":0.009122224634421108,"score_gpt":0.2153257079610559,"score_spread":0.2062034833266348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1875944416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969005,0.00010846992,0.00022072541,0.00024277592,0.00009073989,0.000074106465,0.000009254544,0.0000014659464,0.002351936],"genre_scores_gemma":[0.9997972,0.0000032167627,0.00009424579,0.000029974313,0.00003341249,9.685585e-7,6.844326e-7,0.00001002628,0.000030273222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99901146,0.00005298144,0.00037226517,0.00006712898,0.00020154902,0.00029459922],"domain_scores_gemma":[0.9991943,0.00006775129,0.00011466773,0.00016541954,0.00000884262,0.0004490088],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00050987134,0.000093390925,0.00021341119,0.00019394612,0.000051330087,0.000014180662,0.00031712287,0.000051196515,0.0008923124],"category_scores_gemma":[0.00022278275,0.00007673796,0.00007191031,0.00019156701,0.00012560599,0.00012801724,0.000014393227,0.00021022248,0.000001850954],"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":[0.0000060349457,0.000025652536,0.9232808,0.00005004886,0.000014978571,0.000036862082,0.006124377,0.06486763,0.0030534603,0.00013292131,0.0020306509,0.00037660883],"study_design_scores_gemma":[0.00033665178,0.00018102677,0.98646325,0.00009698376,0.000023750017,0.00003969394,0.0020646022,0.0032414992,0.0014016167,0.00024260953,0.0057567777,0.0001515342],"about_ca_topic_score_codex":0.31506726,"about_ca_topic_score_gemma":0.9655749,"teacher_disagreement_score":0.6505076,"about_ca_system_score_codex":0.00042994862,"about_ca_system_score_gemma":0.00018353146,"threshold_uncertainty_score":0.9770195},"labels":[],"label_agreement":null},{"id":"W188698145","doi":"","title":"Issue of lightweighting hots up with Canada's LCBO setting maximum limits","year":2011,"lang":"en","type":"article","venue":"Wine & viticulture journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Advertising; Business; Operations management; Psychology; Economics","score_opus":0.0060978150670504515,"score_gpt":0.18999264834769752,"score_spread":0.18389483328064707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W188698145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9788376,0.000043364176,0.00006862471,0.0010425402,0.00018870538,0.00013903879,0.000007044485,0.00001285314,0.019660216],"genre_scores_gemma":[0.9948196,0.000006894525,0.002796775,0.00037150492,0.00021855862,0.0000023023188,0.0000027689525,0.000017502765,0.001764093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983493,0.00007116884,0.00034577027,0.00021304344,0.00054262805,0.0004781003],"domain_scores_gemma":[0.9991936,0.00002223024,0.00024594253,0.00019517896,0.000025201532,0.0003178671],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002920066,0.0002153418,0.00022909335,0.000020596055,0.0002541973,0.000027881466,0.00025051145,0.00007148193,0.003248582],"category_scores_gemma":[0.00006478645,0.0001369564,0.0000648787,0.00015809857,0.00016730829,0.00034380454,0.00008549134,0.00037335482,0.00002163925],"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":[0.00022162279,0.00043616432,0.88257223,0.0000838061,0.00012570866,0.00049753673,0.014417256,0.0003727181,0.04832273,0.000026104473,0.045039434,0.007884705],"study_design_scores_gemma":[0.0008021773,0.00041399986,0.90365237,0.00008588267,0.00008626267,0.0008832216,0.0060742106,0.000040575076,0.05888978,0.0002806083,0.028356666,0.00043427036],"about_ca_topic_score_codex":0.031779326,"about_ca_topic_score_gemma":0.037532255,"teacher_disagreement_score":0.021080134,"about_ca_system_score_codex":0.0004673406,"about_ca_system_score_gemma":0.000068061294,"threshold_uncertainty_score":0.9976626},"labels":[],"label_agreement":null},{"id":"W1892477779","doi":"10.1111/jiec.12292","title":"Tradeoff Evaluation Improves Comparative Life Cycle Assessment: A Photovoltaic Case Study","year":2015,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"Arizona State University","keywords":"Life-cycle assessment; Industrial ecology; Computer science; Risk analysis (engineering); Normalization (sociology); Management science; Business; Engineering; Production (economics); Economics; Sustainability","score_opus":0.12659853133577015,"score_gpt":0.37681737352329436,"score_spread":0.2502188421875242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1892477779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965655,0.000015287038,0.000015372898,0.00019738333,0.0005808653,0.00086085685,0.0000024151793,0.0000062774834,0.0017560137],"genre_scores_gemma":[0.99941385,0.000001064628,0.00018156639,0.00011156416,0.0002225675,0.000018380115,0.0000013347978,0.000008066013,0.000041635172],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973247,0.0009068238,0.00066685514,0.00019124092,0.0006037543,0.00030661214],"domain_scores_gemma":[0.998611,0.0001549303,0.0005529524,0.00017162287,0.000052788055,0.000456736],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037240454,0.00016025684,0.00041126326,0.000073405594,0.000121143836,0.000036280893,0.00019594011,0.00016285555,0.001424776],"category_scores_gemma":[0.000638169,0.00012968981,0.000091156195,0.00020544746,0.00021802298,0.0005091706,0.00012661482,0.0005418642,0.000028927556],"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":[0.000576491,0.0038353435,0.94732237,0.0000022072768,0.00019556948,0.0016741245,0.009943495,0.017712398,0.001720964,0.0000036208965,0.006920018,0.010093427],"study_design_scores_gemma":[0.026910802,0.01894497,0.70328337,0.0000098886,0.0006623012,0.0046713008,0.21922015,0.021805404,0.00047661114,0.0014934255,0.0019072418,0.00061454874],"about_ca_topic_score_codex":0.00070507824,"about_ca_topic_score_gemma":0.00077708735,"teacher_disagreement_score":0.24403898,"about_ca_system_score_codex":0.0018387557,"about_ca_system_score_gemma":0.00044911748,"threshold_uncertainty_score":0.99948806},"labels":[],"label_agreement":null},{"id":"W189572","doi":"","title":"Intégration des critères de conception et de l'analyse de cycle de vie simplifiée pour l'écoconception de produits à usage unique","year":2009,"lang":"en","type":"article","venue":"Acta physiologica et pharmacologica bulgarica","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"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":"Électricité de France; Hydro-Québec","keywords":"Humanities; Political science; Philosophy","score_opus":0.01966467679706079,"score_gpt":0.3368171054594499,"score_spread":0.3171524286623891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189572","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869071,0.00004230963,0.0051218388,0.0030430232,0.000020387366,0.00070042623,0.000014268209,0.00023695282,0.003913689],"genre_scores_gemma":[0.9762404,0.00072789204,0.0094430605,0.013096887,0.00010528991,0.00017280848,0.000046165314,0.000020512916,0.00014700987],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.995755,0.0017398952,0.0003952468,0.000684844,0.00025019856,0.0011748219],"domain_scores_gemma":[0.99865896,0.00031291507,0.00024988112,0.00032963586,0.000025711903,0.00042287353],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001855016,0.00040880806,0.0003642909,0.000053239623,0.00046191667,0.00010467895,0.00055831403,0.00031300072,0.0020144235],"category_scores_gemma":[0.0005874998,0.00034101287,0.00018815893,0.00034468982,0.0006059109,0.00065418024,0.0002514421,0.0006061976,0.00005975243],"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":[0.00020704842,0.00096118794,0.04802256,0.000014355118,0.000024105238,0.000025648698,0.0019741894,0.010314534,0.92733747,0.00008138608,0.0034936287,0.007543875],"study_design_scores_gemma":[0.00055546407,0.00073411677,0.8730084,0.000012188088,0.000084581945,0.00002580206,0.00047094302,0.0051045143,0.085050076,0.03343051,0.0011151354,0.00040830194],"about_ca_topic_score_codex":0.00048736852,"about_ca_topic_score_gemma":0.00004294939,"teacher_disagreement_score":0.8422874,"about_ca_system_score_codex":0.0032403402,"about_ca_system_score_gemma":0.00021155982,"threshold_uncertainty_score":0.9999042},"labels":[],"label_agreement":null},{"id":"W189594266","doi":"","title":"What's driving Alberta's emissions? Decomposing greenhouse gases emitted by Alberta's road transportation sector","year":2013,"lang":"en","type":"article","venue":"Summit (Simon Fraser University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Road transport; Transport engineering; Meteorology; Engineering; Geography; Geology","score_opus":0.005781695343090841,"score_gpt":0.19528213928845423,"score_spread":0.1895004439453634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W189594266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945794,0.00003229267,0.00018565218,0.000546294,0.00013053106,0.0004632931,0.000009226203,0.00007245582,0.0039808736],"genre_scores_gemma":[0.98298097,0.000084809195,0.00017946544,0.00023325886,0.000019282586,0.0000033742053,0.00010645854,0.00003438407,0.016358016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981483,0.00012714666,0.000252628,0.0005799518,0.00032991983,0.0005620352],"domain_scores_gemma":[0.998816,0.00016141636,0.00012811735,0.00041820167,0.00001368863,0.00046256426],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000084239546,0.00032203438,0.00024831996,0.00009845895,0.0004010006,0.00014737548,0.00040850617,0.00017247953,0.009421684],"category_scores_gemma":[0.000043161286,0.00033914315,0.00015337703,0.0005016105,0.000266945,0.0032294828,0.00010027884,0.00023124258,0.0005008043],"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":[0.000028198323,0.00022320748,0.9773967,0.000011692761,0.00002359124,0.000022385555,0.00021944461,0.00036606693,0.0013680994,0.000006506239,0.016735338,0.0035987224],"study_design_scores_gemma":[0.0020086297,0.00023592036,0.77733296,0.0001218087,0.00015735731,7.112388e-8,0.047681797,0.0018694085,0.016141763,0.00021546806,0.15287405,0.0013607437],"about_ca_topic_score_codex":0.04210322,"about_ca_topic_score_gemma":0.22745548,"teacher_disagreement_score":0.20006377,"about_ca_system_score_codex":0.00065643305,"about_ca_system_score_gemma":0.000017652394,"threshold_uncertainty_score":0.99990606},"labels":[],"label_agreement":null},{"id":"W1907250805","doi":"10.1111/jiec.12001","title":"Analytical Propagation of Uncertainty in Life Cycle Assessment Using Matrix Formulation","year":2013,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Matrix (chemical analysis); Life-cycle assessment; Industrial ecology; Environmental science; Mathematics; Economics; Chemistry; Biology; Chromatography; Sustainability; Production (economics); Microeconomics; Ecology","score_opus":0.029592396704122594,"score_gpt":0.31742423125494645,"score_spread":0.28783183455082384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907250805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985945,0.0000024807455,0.0001372377,0.0004732377,0.00012326903,0.00029028792,8.3863546e-7,0.0000016537409,0.00037645854],"genre_scores_gemma":[0.99933964,0.0000021747326,0.0005198142,0.0000397011,0.00007217125,0.0000021198393,0.0000010524615,0.0000045125566,0.000018836516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986333,0.00017332213,0.00067309465,0.000090655885,0.00023890557,0.00019067978],"domain_scores_gemma":[0.9992332,0.000095075826,0.0004543965,0.00008430667,0.00002176113,0.00011128358],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008063381,0.00007910428,0.00025394442,0.00008676512,0.000033156546,0.00001149222,0.00011020296,0.00016538479,0.0022323362],"category_scores_gemma":[0.00037955822,0.00006396295,0.000068536254,0.00018776458,0.00011125081,0.00044782626,0.00006987592,0.00027768695,0.0000087615235],"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":[0.00006814208,0.00021665517,0.7954815,0.0000032424286,0.00001091564,0.0000041119174,0.00007678855,0.199136,0.0021527181,0.00006392878,0.00010697858,0.0026790076],"study_design_scores_gemma":[0.00131557,0.00045834805,0.8779594,0.000008949946,0.000021032314,0.00001299366,0.0004122507,0.11827788,0.00012687566,0.0013014659,0.000034914592,0.00007032673],"about_ca_topic_score_codex":0.00059280184,"about_ca_topic_score_gemma":0.00006726512,"teacher_disagreement_score":0.08247788,"about_ca_system_score_codex":0.0011678848,"about_ca_system_score_gemma":0.00011659641,"threshold_uncertainty_score":0.99867976},"labels":[],"label_agreement":null},{"id":"W1907834434","doi":"10.3963/jmpm.v3i1.122","title":"Aircraft Eco-assembly: a strategy to reduce the ecological footprint of aerospace industry","year":2015,"lang":"en","type":"article","venue":"Journal of Modern Project Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières; Université du Québec à Montréal","funders":"","keywords":"Aerospace; Ecological footprint; Environmental impact assessment; Carbon footprint; Footprint; Environmental pollution; Engineering; Sustainable development; Environmental science; Greenhouse gas; Environmental protection; Aerospace engineering","score_opus":0.04242930184902193,"score_gpt":0.3082939068029,"score_spread":0.26586460495387804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907834434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98417574,0.000045265388,0.0013498173,0.0015579064,0.00009503693,0.0006539796,0.0000013033764,0.000008890249,0.012112048],"genre_scores_gemma":[0.99601585,0.000020933705,0.0020270273,0.00024535318,0.000039170453,0.000016912723,2.7307283e-7,0.000011646446,0.0016228372],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980951,0.00016441307,0.0004846979,0.00021259327,0.00071297697,0.00033024733],"domain_scores_gemma":[0.9990697,0.000030726354,0.0003023266,0.00035971776,0.00002382446,0.00021370267],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001494926,0.00016992104,0.00025179752,0.000065555556,0.000065073036,0.000041410385,0.00058186386,0.00010884526,0.000102838254],"category_scores_gemma":[0.00007272009,0.00010647466,0.00012092364,0.00024120421,0.00014703881,0.00016817717,0.0006587378,0.00041067484,0.000022788154],"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":[0.0019020897,0.005977654,0.26129687,0.00020898048,0.00063522253,0.00063831016,0.013594394,0.36703062,0.01099068,0.0009972263,0.07481696,0.26191097],"study_design_scores_gemma":[0.0031159113,0.0064538717,0.91733444,0.00008983225,0.00026050425,0.00017211809,0.022104478,0.0024063294,0.0085483715,0.011092714,0.027692635,0.0007287767],"about_ca_topic_score_codex":0.00011361365,"about_ca_topic_score_gemma":0.000046470035,"teacher_disagreement_score":0.65603757,"about_ca_system_score_codex":0.0007872639,"about_ca_system_score_gemma":0.000050851246,"threshold_uncertainty_score":0.43419108},"labels":[],"label_agreement":null},{"id":"W1908776603","doi":"10.3968/j.css.1923669720060204.010","title":"Environmentally Responsible Product Assessments for the Automobiles Made in China","year":2009,"lang":"en","type":"article","venue":"Canadian social science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Political science; Delphi method; Humanities; Business; Art; Computer science","score_opus":0.00887109175699384,"score_gpt":0.2828222663200632,"score_spread":0.27395117456306933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1908776603","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9404299,0.00002928866,0.000047827278,0.004256791,0.000107408654,0.0010174918,0.00002057556,0.000017164393,0.05407351],"genre_scores_gemma":[0.99712914,0.0000075190123,0.000379168,0.0010534573,0.000048574697,0.000050095856,0.0000028668792,0.0000074383943,0.0013217642],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99804056,0.000051804873,0.00017799572,0.00046728097,0.00042644248,0.00083594373],"domain_scores_gemma":[0.99931765,0.0000334556,0.00004908042,0.00028852007,0.0000029229172,0.00030835412],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013190571,0.00014558202,0.000117894044,0.000073513365,0.0010333435,0.00010063583,0.0007186674,0.00004840613,0.0006537694],"category_scores_gemma":[0.000113881695,0.00011750941,0.00005472066,0.0006593378,0.0012930945,0.00051242975,0.000085145046,0.00015000533,0.000047277026],"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":[0.00007642178,0.00029173758,0.7081599,0.000007660382,0.000006733218,0.000027720473,0.005483629,0.00044272168,0.07168313,0.0039734235,0.0048822137,0.2049647],"study_design_scores_gemma":[0.00017439846,0.000080400634,0.98462963,0.0000020758519,0.000004511098,0.0000020403893,0.0010933523,0.0002688207,0.0012455463,0.0017683496,0.0105634155,0.00016746343],"about_ca_topic_score_codex":0.009767865,"about_ca_topic_score_gemma":0.0096955225,"teacher_disagreement_score":0.2764697,"about_ca_system_score_codex":0.00283298,"about_ca_system_score_gemma":0.00025218228,"threshold_uncertainty_score":0.9968262},"labels":[],"label_agreement":null},{"id":"W1920725717","doi":"10.11606/d.18.2014.tde-25072014-104508","title":"Análise de modelos de caracterização de impactos do uso da terra para a avaliação de impacto do ciclo de vida e recomendações para subsidiar a aplicação no Brasil","year":2014,"lang":"pt","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Life-cycle assessment; Land use; Environmental resource management; Environmental science; Scope (computer science); Environmental impact assessment; Land use, land-use change and forestry; Impact assessment; Geography; Computer science; Engineering; Ecology; Production (economics)","score_opus":0.021469881405598468,"score_gpt":0.30250322906901933,"score_spread":0.28103334766342086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1920725717","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9785976,0.00036564493,0.013125583,0.00037630103,0.0002414814,0.0024658116,0.00058241823,0.00028507487,0.0039601023],"genre_scores_gemma":[0.98593163,0.0014077546,0.0036507396,0.0017318458,0.00024908304,0.0005783781,0.00076848967,0.0004026676,0.005279416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9866852,0.0019927823,0.0018793915,0.0024773148,0.0013935544,0.0055717416],"domain_scores_gemma":[0.9916886,0.00057844486,0.0011067054,0.0025261054,0.00007651453,0.004023624],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0037964366,0.0024327524,0.0019725866,0.00040155594,0.0010188005,0.0012460519,0.0021662042,0.002259745,0.015522063],"category_scores_gemma":[0.00096466596,0.0023939593,0.0012482608,0.00073885533,0.0007850208,0.0017852144,0.00056621205,0.0021992456,0.0009727291],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018605591,0.0017172094,0.63715947,0.0009046584,0.00036734695,0.00023178269,0.031224923,0.0024029587,0.302858,0.00002432283,0.00090519886,0.020343587],"study_design_scores_gemma":[0.0025206255,0.0013210598,0.88163006,0.00050867145,0.0008234778,0.00046363904,0.015233002,0.052376382,0.038238086,0.0018105311,0.001069734,0.004004742],"about_ca_topic_score_codex":0.018397046,"about_ca_topic_score_gemma":0.001478469,"teacher_disagreement_score":0.26461992,"about_ca_system_score_codex":0.014683358,"about_ca_system_score_gemma":0.0013900887,"threshold_uncertainty_score":0.99980515},"labels":[],"label_agreement":null},{"id":"W1930309233","doi":"","title":"DESIGNING SUPPLEMENT FORM OF THE CANADIAN OCCUPATIONAL PERFORMANCE MEASURE: ITEM ANALYSIS AND SUGGESTIONS FOR REFINEMENT","year":2014,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Measure (data warehouse); Rehabilitation; Occupational therapy; Psychology; Physical therapy; Applied psychology; Physical medicine and rehabilitation; Medicine; Computer science; Data mining","score_opus":0.11758731341765194,"score_gpt":0.4626782518077855,"score_spread":0.34509093839013355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1930309233","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954601,0.00015742185,0.0021579417,0.00038988865,0.000060719412,0.0005989307,0.00007598322,0.00000387739,0.0010951383],"genre_scores_gemma":[0.9979744,0.00013152463,0.001509985,0.00014929486,0.000017279914,0.00005739631,0.000017787404,0.000010954239,0.00013137318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982489,0.00013262988,0.00048430442,0.00025240515,0.00057361746,0.00030815578],"domain_scores_gemma":[0.9988236,0.00018838393,0.0003678467,0.00033243204,0.000049321363,0.0002384316],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019883537,0.00016110751,0.00031366784,0.00022061689,0.00058184686,0.00019705555,0.0008800028,0.000050465755,0.0055016447],"category_scores_gemma":[0.00028007096,0.000121637226,0.00014281472,0.0006677448,0.00023847802,0.00078630616,0.00043049423,0.00012281505,0.0000016115791],"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":[0.000037960825,0.00006142573,0.98517394,0.000025454654,0.00009850993,1.6597242e-7,0.00018765256,0.0013150028,0.005440546,0.00004451484,0.0019063975,0.005708458],"study_design_scores_gemma":[0.00024672502,0.000014599067,0.98285836,0.000028773336,0.00018453188,9.863753e-7,0.00006193088,0.00130124,0.01179677,0.0011016524,0.002259914,0.00014449183],"about_ca_topic_score_codex":0.046893917,"about_ca_topic_score_gemma":0.093633674,"teacher_disagreement_score":0.046739757,"about_ca_system_score_codex":0.0005750848,"about_ca_system_score_gemma":0.00009301886,"threshold_uncertainty_score":0.99540746},"labels":[],"label_agreement":null},{"id":"W1937605657","doi":"10.1109/isee.1996.501891","title":"International environmental performance measurement in the electronics industry","year":2002,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","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":"U.S. Environmental Protection Agency; National Science Foundation","keywords":"Benchmarking; Electronics; Environmental data; Environmental impact assessment; sort; Environmental economics; Component (thermodynamics); Manufacturing; Business; Computer science; Engineering; Marketing; Economics","score_opus":0.018155683434678542,"score_gpt":0.2047163168174732,"score_spread":0.18656063338279466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1937605657","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8359073,0.000037523347,0.000011495071,0.0010014658,0.000038953396,0.00016257913,9.845824e-7,0.000010577788,0.16282913],"genre_scores_gemma":[0.9975492,0.00013890675,0.0000893486,0.000787885,0.000022615704,0.000023133367,0.000001969256,0.00000629586,0.0013806717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985838,0.000056912544,0.00016502553,0.00020192313,0.0006859789,0.0003063863],"domain_scores_gemma":[0.99967235,0.000011419962,0.00002964485,0.0002376574,7.5761426e-7,0.00004815513],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005108808,0.00011518854,0.000063785104,0.00001850636,0.000084540276,0.00002602662,0.0003975254,0.00008443025,0.025475834],"category_scores_gemma":[0.000015291236,0.000079962745,0.000035213052,0.0000935865,0.00015023035,0.00028534705,0.00012408661,0.00038179095,0.0006573582],"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":[0.000007796981,0.00048451292,0.9566541,0.0000016027547,0.0000054718635,0.0000058333617,0.0008893415,0.0005066879,0.0014837132,0.000028063712,0.0027795983,0.037153333],"study_design_scores_gemma":[0.00033976216,0.00008739608,0.88735163,0.000002077037,0.0000038077262,0.000017578855,0.0008692985,0.0046665473,0.0007934386,0.000069033915,0.10564301,0.00015641502],"about_ca_topic_score_codex":0.000035712193,"about_ca_topic_score_gemma":0.000034561384,"teacher_disagreement_score":0.16164188,"about_ca_system_score_codex":0.0011265104,"about_ca_system_score_gemma":0.000001970649,"threshold_uncertainty_score":0.975415},"labels":[],"label_agreement":null},{"id":"W194813047","doi":"10.1007/978-90-481-3507-3_6","title":"Environmental Impact of Economic Integration","year":2009,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Economics; Scale (ratio); Natural resource economics; International trade; International economics; Environmental impact assessment; Economic geography; Geography; Ecology; Biology; Cartography","score_opus":0.007026109000079733,"score_gpt":0.23276022206746178,"score_spread":0.22573411306738203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W194813047","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08515067,0.000045116074,0.000035044868,0.000020691044,0.000037585476,0.00034779738,0.00007407864,0.000023954452,0.91426504],"genre_scores_gemma":[0.596201,0.000093285315,0.0001703218,0.000032216063,0.000027089696,0.0000018505312,0.00006453078,0.000026247915,0.40338346],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987229,0.000013596597,0.00040964305,0.000386234,0.00023102728,0.00023661768],"domain_scores_gemma":[0.9991427,0.000019570673,0.00022584907,0.00046653583,6.9314035e-7,0.00014461599],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012655981,0.00037530749,0.00036805763,0.000046805697,0.000043693293,0.000013035342,0.00022809139,0.00026733743,0.09606281],"category_scores_gemma":[0.0000034158973,0.00030775619,0.00043868631,0.000007480622,0.0003980916,0.00022061476,0.00015871561,0.00021802464,0.0020966504],"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":[0.00031484474,0.0005968823,0.07064777,0.00002814733,0.0003380959,0.000037767095,0.00074099295,0.004672323,0.014059494,0.0149217285,0.024914145,0.8687278],"study_design_scores_gemma":[0.0013962977,0.0037005804,0.80619675,0.00007776934,0.00028496966,0.00006478608,0.00013581886,0.0011814836,0.004804431,0.1211062,0.058281254,0.0027696532],"about_ca_topic_score_codex":0.00030164368,"about_ca_topic_score_gemma":0.00006390625,"teacher_disagreement_score":0.86595815,"about_ca_system_score_codex":0.00303483,"about_ca_system_score_gemma":0.000019084468,"threshold_uncertainty_score":0.9999375},"labels":[],"label_agreement":null},{"id":"W1964884116","doi":"10.1007/s10098-014-0714-y","title":"An overview of air emission intensities and environmental performance of grey cement manufacturing in Canada","year":2014,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Kiln; Cement; Environmental science; Waste management; Life-cycle assessment; Particulates; Fossil fuel; Fugitive emissions; Raw material; Environmental engineering; Major stationary source; Combustion; Engineering; Greenhouse gas; Production (economics); Air pollution","score_opus":0.009230540750504949,"score_gpt":0.21724550317397542,"score_spread":0.20801496242347048,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1964884116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99920106,0.00028042236,0.000004731583,0.000113131246,0.000014718743,0.00020618415,0.000036533616,0.000022144384,0.00012105626],"genre_scores_gemma":[0.9968474,0.00281275,0.00014827732,0.00010583723,0.0000063612065,0.000007949996,0.000017362578,0.000016731414,0.000037330152],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985973,0.00004431036,0.00037666777,0.00036120022,0.00025776064,0.00036272252],"domain_scores_gemma":[0.9993168,0.000027856277,0.0001494758,0.00040590344,4.403935e-7,0.00009953047],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016878903,0.00024528336,0.0003215863,0.00008104272,0.00008543885,0.000006037613,0.00023115415,0.000097584794,0.00008981709],"category_scores_gemma":[0.00001764167,0.00022139002,0.000032416072,0.000062436484,0.0009875124,0.0002784108,0.0006687926,0.00016540865,0.0000012171171],"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":[0.0000366824,0.00010510382,0.5727471,0.00008307124,0.0000058639675,0.0000019602992,0.00025192398,0.00040053157,0.020059265,0.000022903854,0.000015845366,0.40626973],"study_design_scores_gemma":[0.00036228754,0.0003823002,0.8269041,0.000037012607,0.000008724632,0.000010960975,0.046158288,0.002133583,0.12330075,0.00029565685,0.00017848815,0.0002278529],"about_ca_topic_score_codex":0.19610807,"about_ca_topic_score_gemma":0.04882051,"teacher_disagreement_score":0.4060419,"about_ca_system_score_codex":0.00089173875,"about_ca_system_score_gemma":0.0000143154275,"threshold_uncertainty_score":0.968536},"labels":[],"label_agreement":null},{"id":"W1965419798","doi":"10.1007/s11367-012-0485-9","title":"Revisiting the role of LCA and SLCA in the transition towards sustainable production and consumption","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal; Concordia University; Université du Québec à Montréal","funders":"","keywords":"Relevance (law); Production (economics); Sustainable production; Sustainable consumption; Transition (genetics); Consumption (sociology); Sustainability; Originality; Context (archaeology); Business; Sociology; Economics; Qualitative research; Political science; Social science; Microeconomics","score_opus":0.010371615242273365,"score_gpt":0.28690570244299746,"score_spread":0.2765340872007241,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965419798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888567,0.00039432562,0.000109804125,0.009700969,0.00006314418,0.00016165862,0.0000010256705,0.0000013587426,0.00071104505],"genre_scores_gemma":[0.9992166,0.00023948716,0.00012668195,0.0002239215,0.00016716724,0.0000045752768,6.564586e-7,0.000003199853,0.00001769069],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989114,0.00019502865,0.00025981295,0.00006124167,0.00044827475,0.00012426733],"domain_scores_gemma":[0.999563,0.00008856889,0.00020233208,0.00008770354,0.00002210562,0.000036285368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002473744,0.000061811865,0.000081919075,0.000024547577,0.00009400714,0.00004154753,0.00019663121,0.000018184115,0.000070934344],"category_scores_gemma":[0.000105673134,0.000031481533,0.00003117499,0.000050082966,0.00018876232,0.00048544523,0.00008507112,0.00015473033,7.389396e-7],"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":[0.00013434306,0.00020762238,0.945233,0.000026546877,0.000054291915,0.000004205314,0.012313467,0.0017279945,0.0047373045,0.0020704058,0.00006505626,0.033425756],"study_design_scores_gemma":[0.00017783533,0.000039222392,0.97686416,0.000020057285,0.00002068533,0.00008774294,0.018765878,0.0005327747,0.00047859724,0.002364001,0.0006097446,0.000039328337],"about_ca_topic_score_codex":0.00018841434,"about_ca_topic_score_gemma":0.0000075022517,"teacher_disagreement_score":0.033386424,"about_ca_system_score_codex":0.00021433638,"about_ca_system_score_gemma":0.000017276872,"threshold_uncertainty_score":0.12837797},"labels":[],"label_agreement":null},{"id":"W1965601747","doi":"10.1162/108819806775545349","title":"Sustainability Constraints as System Boundaries: An Approach to Making Life‐Cycle Management Strategic","year":2006,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":298,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Blekinge Tekniska Högskola; University of British Columbia; University of Tokyo","keywords":"Sustainability; Backcasting; Process management; Life-cycle assessment; Industrial ecology; Sustainability organizations; Management science; Business; Social sustainability; Sustainability science; Strategic management; Sustainable development; Product lifecycle; Environmental resource management; Risk analysis (engineering); New product development; Production (economics); Economics; Marketing; Ecology","score_opus":0.021306852207068273,"score_gpt":0.26489838664612975,"score_spread":0.24359153443906148,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965601747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93575424,0.0000068506884,0.00042221363,0.00051763514,0.00043016757,0.00068869954,0.0000050694316,0.00002260007,0.06215255],"genre_scores_gemma":[0.9980512,6.8311516e-7,0.0012083615,0.00021402183,0.0003085355,0.0000147422015,0.0000031229406,0.000016520124,0.00018276247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731046,0.000399476,0.00088074786,0.00034883202,0.00045573016,0.00060474745],"domain_scores_gemma":[0.99877393,0.00005999115,0.00043663222,0.0003185803,0.000040639658,0.0003702012],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017336905,0.00023462124,0.0004523891,0.00011401639,0.0003384776,0.00018036448,0.0004627826,0.00027453472,0.0009014697],"category_scores_gemma":[0.00018003886,0.00020729186,0.0001347219,0.0002909467,0.0008920317,0.000412456,0.00023744485,0.00045243645,0.00005299633],"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":[0.0032337916,0.006959219,0.66201615,0.00031462064,0.00039948698,0.0016206978,0.0022920612,0.19654994,0.0003463568,0.079206474,0.008876132,0.038185067],"study_design_scores_gemma":[0.012063574,0.007310529,0.71836704,0.000105369625,0.000542604,0.0019105374,0.15521725,0.002409213,0.00023677284,0.07808564,0.02183673,0.0019147417],"about_ca_topic_score_codex":0.00039636038,"about_ca_topic_score_gemma":0.00006812944,"teacher_disagreement_score":0.19414072,"about_ca_system_score_codex":0.0032845568,"about_ca_system_score_gemma":0.00029255686,"threshold_uncertainty_score":0.9870461},"labels":[],"label_agreement":null},{"id":"W1965743040","doi":"10.1007/s11707-013-0363-1","title":"Urban energy consumption and related carbon emission estimation: a study at the sector scale","year":2013,"lang":"en","type":"article","venue":"Frontiers of Earth Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Estimation; Scale (ratio); Environmental science; Energy consumption; Consumption (sociology); Carbon fibers; Natural resource economics; Economics; Materials science; Geography; Engineering; Sociology; Composite material; Cartography","score_opus":0.0045665630447515315,"score_gpt":0.2009404886923516,"score_spread":0.19637392564760006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1965743040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99666506,0.000112748414,0.00006884532,0.000124668,0.000112802714,0.00035601264,0.0000011806419,0.000012832779,0.0025458783],"genre_scores_gemma":[0.9952365,0.0000098857445,0.00054334215,0.000027231714,0.0000037858192,0.0000137305115,0.0000010499,0.0000040786013,0.004160387],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988083,0.000059813443,0.00017420863,0.000299131,0.00043305045,0.00022545074],"domain_scores_gemma":[0.99944663,0.000018571433,0.00008822849,0.00029975243,0.0000086472255,0.00013819226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044122682,0.00009602158,0.00010463334,0.000032157775,0.00031878028,0.000036938683,0.00021127597,0.000032462573,0.0007506995],"category_scores_gemma":[0.000051524785,0.00006495758,0.00002120769,0.0002575205,0.0018515227,0.00042118967,0.0002918103,0.00006173276,0.000015792233],"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":[0.0000075730495,0.00006532235,0.9803297,0.0000020692682,0.0000022628647,5.3095545e-7,0.0012503434,0.00014625893,0.014031489,0.000002272955,0.00095013465,0.0032120293],"study_design_scores_gemma":[0.00020575826,0.00013612771,0.9688859,0.000003230269,0.000008348468,0.0000041942103,0.00086329266,0.022774817,0.0067163534,0.0001684868,0.00014622699,0.0000872618],"about_ca_topic_score_codex":0.0009262957,"about_ca_topic_score_gemma":0.000073647556,"teacher_disagreement_score":0.022628557,"about_ca_system_score_codex":0.0000987931,"about_ca_system_score_gemma":0.000012813174,"threshold_uncertainty_score":0.8219633},"labels":[],"label_agreement":null},{"id":"W1966363327","doi":"10.1179/030192300677552","title":"Control of greenhouse gas emissions from electric arc furnace steelmaking: evaluation methodology with case studies","year":2000,"lang":"en","type":"article","venue":"Ironmaking & Steelmaking Processes Products and Applications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Greenhouse gas; Waste management; Electricity; Steelmaking; Electricity generation; Combustion; Electric arc furnace; Scrap; Environmental science; Combustor; Fossil fuel; Engineering; Environmental engineering; Chemistry; Power (physics); Mechanical engineering","score_opus":0.04360783118924044,"score_gpt":0.3239523947429939,"score_spread":0.2803445635537535,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1966363327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.986945,0.003522688,0.0047509484,0.000488752,0.000019890966,0.0018408741,0.000029433304,0.000087930726,0.002314497],"genre_scores_gemma":[0.9916293,0.00037845777,0.006495722,0.00011449809,0.00009309027,0.0004684769,0.000011292953,0.000039744555,0.00076940854],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99742526,0.00027308374,0.00049538957,0.00088194705,0.00047925665,0.00044505406],"domain_scores_gemma":[0.9983252,0.00046401573,0.00036352765,0.00062901876,0.00009587904,0.00012232538],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009075369,0.00033006095,0.00044518593,0.000087342996,0.0005769448,0.00004460365,0.00023773078,0.0000968597,0.0005044217],"category_scores_gemma":[0.0003653721,0.00026280657,0.000038967657,0.0009811174,0.0005585908,0.0003574343,0.000109552064,0.00023875496,0.000014682673],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005382615,0.0015440176,0.078951664,0.0009227626,0.00042803868,0.00013404476,0.011255568,0.017811129,0.03398003,0.0027525534,0.000124085,0.85155785],"study_design_scores_gemma":[0.019731756,0.0057498305,0.21658896,0.001601452,0.0092146015,0.010314343,0.036924955,0.016706597,0.12030653,0.041202873,0.5129401,0.008717977],"about_ca_topic_score_codex":0.00030886102,"about_ca_topic_score_gemma":0.00016593459,"teacher_disagreement_score":0.8428399,"about_ca_system_score_codex":0.00023491777,"about_ca_system_score_gemma":0.000086502434,"threshold_uncertainty_score":0.9999824},"labels":[],"label_agreement":null},{"id":"W1967994418","doi":"10.1016/j.ecolecon.2006.07.019","title":"Wood and non-wood pulp production: Comparative ecological footprinting on the Canadian prairies","year":2006,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pulp (tooth); Ecological footprint; Environmental science; Agroforestry; Agriculture; Taiga; Paper production; Wood production; Agronomy; Forestry; Geography; Ecology; Forest management; Biology; Sustainability; Engineering","score_opus":0.01832144692833927,"score_gpt":0.21962903032001616,"score_spread":0.20130758339167687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1967994418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93284583,0.000004674258,0.0000017768558,0.008212254,0.00009929489,0.000483404,0.0000031141917,0.00002035158,0.05832929],"genre_scores_gemma":[0.9980985,0.0000058235523,0.00020946085,0.0007836258,0.00008345614,0.000054059055,0.0000037469795,0.0000059381678,0.00075540715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877346,0.00008286992,0.0002339498,0.00042284277,0.00006145384,0.00042543176],"domain_scores_gemma":[0.99937385,0.00017150976,0.00008303111,0.00020891576,0.000003855077,0.00015880953],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004500014,0.00017499544,0.00021209352,0.000018127275,0.0006809065,0.00009678865,0.00018682226,0.00013391944,0.001097925],"category_scores_gemma":[0.000119139695,0.000117249685,0.00005115752,0.00006509605,0.0008580762,0.00013871827,0.00018364079,0.00025775583,0.00021661143],"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":[0.000035785262,0.0005174241,0.9753401,0.0000045130732,0.000017642764,0.00001125873,0.00041396226,0.010489358,0.00009420646,0.008170761,0.003889205,0.0010157289],"study_design_scores_gemma":[0.00012067143,0.00023434928,0.9829029,0.0000010449941,0.0000053278713,0.000008244867,0.0004548768,0.00039241905,0.00037350546,0.0075241835,0.007815589,0.00016691814],"about_ca_topic_score_codex":0.008518507,"about_ca_topic_score_gemma":0.26121342,"teacher_disagreement_score":0.2526949,"about_ca_system_score_codex":0.0010016813,"about_ca_system_score_gemma":0.000028669412,"threshold_uncertainty_score":0.9998152},"labels":[],"label_agreement":null},{"id":"W1968211333","doi":"10.1002/atr.138","title":"Intelligent transportation systems: an impact analysis for Michigan","year":2010,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Michigan State University","keywords":"Economic impact analysis; Work (physics); Computable general equilibrium; Macro; Economic analysis; Operations research; Transportation industry; Intelligent transportation system; Transport engineering; Input–output model; Economics; Computer science; Environmental economics; Engineering; Agricultural economics; Macroeconomics; Microeconomics","score_opus":0.00963841992871615,"score_gpt":0.28982344957171124,"score_spread":0.2801850296429951,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1968211333","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.965275,0.000024046494,0.03401328,0.00003324315,0.00024727662,0.0003145349,0.000063951615,0.000011010361,0.000017695043],"genre_scores_gemma":[0.99296784,0.000020412108,0.0067259585,0.0000198414,0.000056822246,0.000010342209,0.0001535758,0.000015201959,0.000030004261],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986341,0.00002656603,0.00063239434,0.00017962643,0.00032138152,0.00020594143],"domain_scores_gemma":[0.9990839,0.00004180078,0.00043963533,0.00017325055,0.00004647883,0.00021495181],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041769224,0.00015270853,0.0002849805,0.00011550323,0.00008069885,0.000025006462,0.00015531633,0.00007972359,0.00029097547],"category_scores_gemma":[0.000019647372,0.00012492407,0.00035458873,0.0003291387,0.00007887948,0.001047834,7.821462e-7,0.00019616645,0.0000021135656],"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":[0.00030996013,0.00022082216,0.36670792,0.000019004005,0.00012628626,0.000005222299,0.0034441457,0.5523674,0.07386498,0.000047144156,0.0000058723263,0.0028812382],"study_design_scores_gemma":[0.00051809626,0.00052533904,0.9910879,0.0000050275703,0.00042259897,0.0000029625373,0.002044212,0.0006838493,0.0034489548,0.00043899857,0.0006753732,0.00014665586],"about_ca_topic_score_codex":0.000135643,"about_ca_topic_score_gemma":0.002897108,"teacher_disagreement_score":0.62438,"about_ca_system_score_codex":0.00011293088,"about_ca_system_score_gemma":0.000019403678,"threshold_uncertainty_score":0.50942564},"labels":[],"label_agreement":null},{"id":"W1969075982","doi":"10.1007/s11367-009-0125-1","title":"Energy decision making in a pulp and paper mill: selection of LCA system boundary","year":2009,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Nicolet Chartrand Knoll (Canada); Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Newsprint; Life-cycle assessment; Mill; Cogeneration; Engineering; Process engineering; Environmental economics; Electricity generation; Production (economics); Pulp and paper industry; Mechanical engineering; Economics; Power (physics)","score_opus":0.005853485344894315,"score_gpt":0.28223591057822567,"score_spread":0.27638242523333134,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1969075982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99456424,0.0000892239,0.002469969,0.00097002037,0.00012863838,0.000053858214,0.0000012471828,0.0000031713723,0.0017196498],"genre_scores_gemma":[0.99793166,0.000063760475,0.001502289,0.00042634932,0.00005522658,0.0000011744282,4.4659853e-7,0.000004222578,0.00001485195],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865794,0.00008588015,0.00043345775,0.00009373128,0.0006186295,0.00011035783],"domain_scores_gemma":[0.99947,0.000098501776,0.00027747278,0.0000784451,0.000021965736,0.000053629577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007199474,0.000079726684,0.00013937421,0.000060707098,0.000049054495,0.00004151119,0.00026169585,0.000030753294,0.00016656943],"category_scores_gemma":[0.00003857406,0.000055029122,0.000055823635,0.00008256815,0.00007342818,0.00034038955,0.00009603067,0.00012250493,0.0000010380246],"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":[0.0008589984,0.00076747424,0.6675293,0.000015632515,0.000118677955,0.00007735887,0.0010132719,0.021326628,0.02340529,0.0020004828,0.0005617909,0.28232512],"study_design_scores_gemma":[0.00048945093,0.0001913404,0.9870909,0.000085211876,0.000010100043,0.00011440074,0.00067493704,0.00621459,0.00027708206,0.004118563,0.00066922116,0.00006420541],"about_ca_topic_score_codex":0.00014876993,"about_ca_topic_score_gemma":0.00007797582,"teacher_disagreement_score":0.31956163,"about_ca_system_score_codex":0.0008208208,"about_ca_system_score_gemma":0.000036359506,"threshold_uncertainty_score":0.22440225},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"design_other","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"medium"}],"label_agreement":"split"},{"id":"W1970186610","doi":"10.1016/j.jenvman.2006.10.002","title":"Greenhouse gas emissions in Canada and Japan: Sector-specific estimates and managerial and economic implications","year":2006,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Greenhouse gas; Kyoto Protocol; Natural resource economics; Production (economics); Fossil fuel; Context (archaeology); Business; Economics; Environmental science; Environmental economics; Engineering; Waste management; Macroeconomics; Ecology","score_opus":0.004259849046052801,"score_gpt":0.18357976032209317,"score_spread":0.17931991127604036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1970186610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997797,0.00039704778,0.000025042686,0.00036364386,0.000051739375,0.00023556448,0.00001629966,0.0000034948876,0.0011101391],"genre_scores_gemma":[0.99738526,0.0013773593,0.00094153965,0.000059776365,0.000029406841,0.0000065827217,0.0000031481209,0.000014780151,0.00018217218],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888515,0.00003096988,0.0004039831,0.00025635082,0.00017128789,0.00025228117],"domain_scores_gemma":[0.99946934,0.00004010092,0.000158783,0.0001647175,4.3984278e-7,0.0001666357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017463106,0.00017845156,0.0002055733,0.000060120798,0.00011202589,0.000041301217,0.00011633978,0.000032052772,0.00050564064],"category_scores_gemma":[0.000002071791,0.00016571443,0.000027740276,0.00003996056,0.0002400047,0.0002786219,0.00034078173,0.000116558906,0.0000048337197],"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":[0.00003409028,0.000115017596,0.9821598,0.000016502685,0.000016771872,0.000045865552,0.00007601666,0.00083480304,0.0023085875,0.000102146216,0.00085263426,0.013437756],"study_design_scores_gemma":[0.00068782613,0.00007216132,0.9927591,0.000010883402,0.00002601215,0.000074919684,0.00066914834,0.0001167289,0.00011012412,0.0015532111,0.0037573453,0.00016255744],"about_ca_topic_score_codex":0.09483297,"about_ca_topic_score_gemma":0.13611837,"teacher_disagreement_score":0.04128539,"about_ca_system_score_codex":0.0014609739,"about_ca_system_score_gemma":0.000009323487,"threshold_uncertainty_score":0.9111946},"labels":[],"label_agreement":null},{"id":"W1972156974","doi":"10.1016/s0959-6526(02)00194-4","title":"Life cycle iNdeX (LInX): a new indexing procedure for process and product design and decision-making","year":2003,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":153,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Memorial University of Newfoundland","funders":"","keywords":"Context (archaeology); Product lifecycle; Analytic hierarchy process; Process (computing); Product (mathematics); European union; Computer science; Life-cycle assessment; Index (typography); Risk analysis (engineering); Sustainability; Product life-cycle management; Search engine indexing; Directive; New product development; Operations research; Systems engineering; Process management; Engineering; Mathematics; Business; Economics; Artificial intelligence; Production (economics); Mechanical engineering","score_opus":0.01112500086914731,"score_gpt":0.27370270296908716,"score_spread":0.26257770209993986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972156974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.976262,0.00030856553,0.021942817,0.0006486042,0.00014388232,0.00061280467,2.1408967e-7,0.000008998702,0.00007214613],"genre_scores_gemma":[0.98216903,0.00004536364,0.017330999,0.00011302513,0.00021239846,0.0000060605357,1.3035829e-7,0.00001790923,0.00010509942],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987462,0.000059055386,0.00035850305,0.0003048958,0.00031151107,0.00021979489],"domain_scores_gemma":[0.9992531,0.00006864348,0.0002900462,0.00013091018,0.0000311981,0.00022610625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012584919,0.00014347576,0.00019405816,0.00006367443,0.00017957139,0.00005867367,0.00008167188,0.000058297665,0.00006701817],"category_scores_gemma":[0.0028324893,0.0001148214,0.00003793735,0.00014644516,0.0001332893,0.00084694766,0.00003415155,0.00019110656,0.0000011915058],"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":[0.0015030366,0.00040758846,0.37535378,0.00025262707,0.00005824435,0.000009589934,0.004862523,0.16348709,0.003791295,0.0000284283,0.0044386988,0.4458071],"study_design_scores_gemma":[0.0052046394,0.0026042112,0.7130724,0.00063685665,0.00033512383,0.0035210352,0.009816741,0.01276547,0.029240627,0.20588037,0.015367577,0.0015549429],"about_ca_topic_score_codex":0.000004564219,"about_ca_topic_score_gemma":0.000004508869,"teacher_disagreement_score":0.44425216,"about_ca_system_score_codex":0.00013983222,"about_ca_system_score_gemma":0.000093301904,"threshold_uncertainty_score":0.46822807},"labels":[],"label_agreement":null},{"id":"W1972663001","doi":"10.4018/ijabim.2013100105","title":"An Empirical Study on China’s Regional Carbon Emissions of Agriculture","year":2013,"lang":"en","type":"article","venue":"International Journal of Asian Business and Information Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Agriculture; China; Greenhouse gas; Carbon fibers; Environmental science; Natural resource economics; Agricultural economics; Environmental protection; Economics; Geography; Ecology","score_opus":0.006483994211668856,"score_gpt":0.256976637048742,"score_spread":0.2504926428370732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972663001","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835394,0.0000028586821,0.00038794274,0.0025749763,0.00010340354,0.00021566586,0.0000015753665,0.0000034970137,0.013170683],"genre_scores_gemma":[0.9992259,0.000023816947,0.00035467412,0.00027003465,0.000034041685,0.000004660881,0.0000071835066,0.0000024204426,0.000077258],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989067,0.000028289565,0.00036805496,0.00006231699,0.0005579046,0.000076756565],"domain_scores_gemma":[0.99948686,0.0000045704637,0.00026330427,0.000092905204,0.00007014999,0.00008219666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001675728,0.00008525645,0.00009574406,0.0001029406,0.000037301394,0.000061554114,0.00021927725,0.000026386115,0.00027732566],"category_scores_gemma":[0.000015416761,0.000058080404,0.00003129566,0.00011305831,0.00005494479,0.0013381833,0.000092183254,0.0000738683,0.000009050881],"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":[0.00024408691,0.0022011558,0.85624176,0.000036481455,0.00020159228,0.000020605054,0.0074647744,0.008156106,0.0004361335,0.00038594374,0.0078043407,0.11680702],"study_design_scores_gemma":[0.00048147552,0.00022003172,0.98969823,0.000017751227,0.000011002903,0.000013941425,0.004885007,0.00021209648,0.000024423347,0.00019708699,0.0041760188,0.000062957995],"about_ca_topic_score_codex":0.00010083088,"about_ca_topic_score_gemma":0.0000025639597,"teacher_disagreement_score":0.13345644,"about_ca_system_score_codex":0.00011577398,"about_ca_system_score_gemma":0.000005544007,"threshold_uncertainty_score":0.30365214},"labels":[],"label_agreement":null},{"id":"W1972894582","doi":"10.1177/0021955x09347530","title":"A Discussion on the Impact of CFC12 Emission Rate from XPS Insulation on Atmospheric Banks","year":2009,"lang":"en","type":"article","venue":"Journal of Cellular Plastics","topic":"Environmental Impact and Sustainability","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":"Dow Chemical (Canada)","funders":"","keywords":"Polystyrene; Materials science; Expanded polystyrene; Chlorofluorocarbon; Blowing agent; Composite material; Environmental science; Polymer; Organic chemistry; Chemistry","score_opus":0.007209008961337781,"score_gpt":0.23199130407017565,"score_spread":0.22478229510883788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1972894582","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99649125,0.00001911007,0.0021574576,0.00033861562,0.00008642577,0.00010830823,0.000006655755,0.0000037574625,0.00078842114],"genre_scores_gemma":[0.99939483,0.000020097277,0.00027073114,0.00008048832,0.000065623535,2.4834694e-7,0.0000036668441,0.000008735222,0.00015558673],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986891,0.00016228076,0.00039858348,0.0001187878,0.00045480413,0.00017640092],"domain_scores_gemma":[0.9989904,0.0002185885,0.00042105175,0.00021817088,0.000011324456,0.00014047486],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040569884,0.00015833166,0.00021124868,0.000012021579,0.00009417538,0.000022225215,0.00019667902,0.0000832659,0.0008879229],"category_scores_gemma":[0.00028271365,0.00007075309,0.00018728798,0.00014157384,0.00008824997,0.00015994621,0.000038980765,0.00029913418,0.000027642984],"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":[0.0011554341,0.0011994711,0.08410217,0.0000057672373,0.000040007937,0.000051519346,0.0010404859,0.15109394,0.7474561,0.00004063314,0.0015366838,0.012277803],"study_design_scores_gemma":[0.0005128319,0.002224029,0.94036216,0.00007136158,0.00002932112,0.000003842596,0.00015468617,0.01304241,0.0403572,0.0029260186,0.00019105218,0.000125098],"about_ca_topic_score_codex":0.00003358135,"about_ca_topic_score_gemma":5.463586e-7,"teacher_disagreement_score":0.85626,"about_ca_system_score_codex":0.00043080296,"about_ca_system_score_gemma":0.00002116739,"threshold_uncertainty_score":0.9722133},"labels":[],"label_agreement":null},{"id":"W1974131588","doi":"10.1007/s11367-012-0418-7","title":"Systematic disaggregation: a hybrid LCI computation algorithm enhancing interpretation phase in LCA","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Computation; Algorithm; Supply chain; Inversion (geology); Process (computing); Path (computing); Data mining","score_opus":0.0084701172545566,"score_gpt":0.3196439895449841,"score_spread":0.3111738722904275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974131588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8958137,0.000101357815,0.101820484,0.00091071654,0.0005325323,0.0002637856,0.000004420616,0.0000066048815,0.0005463717],"genre_scores_gemma":[0.9964791,0.000018276913,0.00294003,0.0003381089,0.00017002271,0.000013711219,0.0000071763175,0.000009464052,0.000024095454],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978138,0.00025056268,0.0007787201,0.00009634579,0.0008659768,0.00019456907],"domain_scores_gemma":[0.998898,0.00022633615,0.0006031981,0.0001119426,0.000034999837,0.00012548562],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018163366,0.00012031156,0.00021152955,0.00007407198,0.00006191503,0.00007009932,0.00036933445,0.000023097498,0.00030063282],"category_scores_gemma":[0.00018641366,0.00008454095,0.0000990959,0.00009808422,0.00008129684,0.00092543836,0.00013762905,0.00019496975,0.000038285452],"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":[0.0011273918,0.0119002145,0.4461673,0.0012011002,0.0014785816,0.0002541005,0.03225163,0.20834696,0.016854707,0.00078487,0.0016439582,0.27798918],"study_design_scores_gemma":[0.0060464498,0.000618801,0.45252764,0.0019961142,0.00019772172,0.00059314526,0.012830196,0.51469964,0.0038404309,0.005828271,0.00019935159,0.00062222173],"about_ca_topic_score_codex":0.00006517791,"about_ca_topic_score_gemma":0.0000148053205,"teacher_disagreement_score":0.3063527,"about_ca_system_score_codex":0.0013837117,"about_ca_system_score_gemma":0.00003947716,"threshold_uncertainty_score":0.36183578},"labels":[],"label_agreement":null},{"id":"W1974734699","doi":"10.1065/lca2006.03.002","title":"Establishing a Framework for Life Cycle Toxicity Assessment. Findings of the Lausanne Review Workshop (4 pp)","year":2006,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":53,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Life-cycle assessment; Life cycle inventory; Engineering; Environmental science; Economics","score_opus":0.014658988175327622,"score_gpt":0.32553166928051286,"score_spread":0.31087268110518523,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1974734699","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9578957,0.0009146692,0.01237096,0.024274772,0.0007148372,0.0006045208,0.000029870851,0.000010214811,0.0031844662],"genre_scores_gemma":[0.9873682,0.00058816053,0.008183926,0.003317524,0.000320769,0.000017754763,0.000004698125,0.000019406329,0.00017952998],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99695057,0.00020132192,0.0009328794,0.00020010669,0.0014217367,0.00029339315],"domain_scores_gemma":[0.9976479,0.0008475176,0.0009054243,0.00037376911,0.00008716203,0.00013823998],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022658587,0.00019664652,0.0003529819,0.00003248775,0.00018499234,0.00012647231,0.0015517458,0.00007668152,0.0011661415],"category_scores_gemma":[0.0009734262,0.000119656084,0.00036658975,0.00021365509,0.00025959747,0.0005873427,0.00053370395,0.0004964069,0.0000061151536],"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":[0.00039970738,0.003340878,0.78928477,0.0003910325,0.0008024857,0.000025614361,0.0005687521,0.084726304,0.006136806,0.017105537,0.0844813,0.0127368225],"study_design_scores_gemma":[0.0010638196,0.00017816719,0.9414178,0.0011734209,0.00017828374,0.000032839973,0.00079576514,0.0037203722,0.0007776901,0.03957929,0.010779755,0.00030275312],"about_ca_topic_score_codex":0.00018161014,"about_ca_topic_score_gemma":0.000041554602,"teacher_disagreement_score":0.15213308,"about_ca_system_score_codex":0.00089333445,"about_ca_system_score_gemma":0.00016487441,"threshold_uncertainty_score":0.9997469},"labels":[],"label_agreement":null},{"id":"W1976525038","doi":"10.1177/0270467607313953","title":"Economic Assessment of Rural District Heating by Bio-Steam Supplied by a Paper Mill in Canada","year":2008,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Mill; Agricultural economics; Paper mill; Rural district; Business; Environmental science; Engineering; Waste management; Geography; Economics; Archaeology; Socioeconomics","score_opus":0.0028087415793503177,"score_gpt":0.20421069186872576,"score_spread":0.20140195028937544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976525038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961707,0.00009381599,0.000015525391,0.0018006234,0.000030718085,0.00022956455,0.000050228708,0.000018222976,0.0015905726],"genre_scores_gemma":[0.99822813,0.00015517291,0.0012691014,0.0001944646,0.000001956889,0.000018979228,0.000005963928,0.000007134029,0.000119071046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833,0.000021242764,0.00041684243,0.00033783607,0.00037688212,0.0005171795],"domain_scores_gemma":[0.9993246,0.000050092727,0.00018044829,0.00034948168,0.000005979294,0.000089392845],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000490779,0.00015917177,0.00027764865,0.000036735437,0.0002340507,0.000004181585,0.0006432207,0.00010975486,0.0011728634],"category_scores_gemma":[0.00003228876,0.00015036526,0.00006929161,0.0004641372,0.005572751,0.00008649403,0.00042570548,0.00022604522,0.000006871188],"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":[0.0000029204782,0.00012157972,0.8637735,0.0000081917215,0.0000044606027,0.0000011700433,0.0002646174,0.00025097156,0.10826882,0.000022103806,0.026375677,0.0009059654],"study_design_scores_gemma":[0.0011193092,0.0002605126,0.8521656,0.000021576943,0.000011381709,0.000022058175,0.03393931,0.0008618287,0.093180835,0.00018192097,0.017710334,0.00052535336],"about_ca_topic_score_codex":0.5342569,"about_ca_topic_score_gemma":0.028115926,"teacher_disagreement_score":0.50614095,"about_ca_system_score_codex":0.0035460782,"about_ca_system_score_gemma":0.0003588245,"threshold_uncertainty_score":0.9997402},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high"},{"model":"gpt","categories":[],"domain":null,"study_design":"simulation_or_modeling","genre":"empirical","about_ca_system":false,"about_ca_topic":true,"confidence":"high"}],"label_agreement":"split"},{"id":"W1976832984","doi":"10.1016/s0959-3780(03)00009-8","title":"The ecological footprint: a non-monetary metric of human consumption applied to North America","year":2003,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":97,"is_retracted":false,"has_abstract":false,"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; Consumption (sociology); Productivity; Sustainability; Human settlement; Metric (unit); Ecology; Economics; Footprint; Natural resource economics; Environmental science; Environmental resource management; Geography; Economic growth; Operations management","score_opus":0.0174496081574409,"score_gpt":0.24391390382651007,"score_spread":0.22646429566906917,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1976832984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98888236,0.00010011523,0.00007916137,0.00007631001,0.000070482085,0.0010718197,0.00006573707,0.000023512384,0.009630507],"genre_scores_gemma":[0.99871135,0.00011056365,0.00035032464,0.00048154691,0.000021149555,0.00017804388,0.000029463035,0.000013971734,0.0001035687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979261,0.0001084565,0.0003615056,0.00049187255,0.0005150794,0.0005969491],"domain_scores_gemma":[0.9989996,0.000048662467,0.00014008184,0.0005040266,0.0000010727377,0.00030655146],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021358568,0.00028428613,0.00027098018,0.000027369124,0.00037300008,0.000021390004,0.00038279954,0.000093156246,0.0015209166],"category_scores_gemma":[0.00002855839,0.00021973717,0.00012243744,0.00034691632,0.00079180487,0.000093303344,0.00045857806,0.00014440563,0.0009113909],"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":[0.000058442307,0.00067090907,0.9699821,0.000010605063,0.000025931307,0.000009098208,0.00041506358,0.0003422074,0.004483486,0.000119655044,0.00020491621,0.023677615],"study_design_scores_gemma":[0.00036204312,0.00039083028,0.9883979,0.0000018458919,0.00002535686,0.000005868418,0.0005074586,0.000022858152,0.00084408495,0.00026811814,0.008921757,0.00025187831],"about_ca_topic_score_codex":0.00025345117,"about_ca_topic_score_gemma":0.00020303756,"teacher_disagreement_score":0.023425737,"about_ca_system_score_codex":0.0011789025,"about_ca_system_score_gemma":0.0000035263372,"threshold_uncertainty_score":0.9998665},"labels":[],"label_agreement":null},{"id":"W1977622155","doi":"10.1021/es072108l","title":"Anthropogenic Nickel Cycle: Insights into Use, Trade, and Recycling","year":2008,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":257,"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":"Natural Resources Canada; U.S. Geological Survey; National Science Foundation","keywords":"Nickel; Scrap; Material flow analysis; China; Metallurgy; Life-cycle assessment; Materials science; Production (economics); Environmental science; Business; Waste management; Geography; Engineering; Economics","score_opus":0.008453694759029648,"score_gpt":0.23026381805974103,"score_spread":0.22181012330071137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1977622155","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99733704,0.00034236294,0.00014645582,0.0006352202,0.00010168447,0.00038087685,0.0000030055458,0.00015087302,0.00090249785],"genre_scores_gemma":[0.99616534,0.0009554618,0.0021953818,0.00026327762,0.000016358497,0.000027007261,0.0000037610473,0.000026610907,0.00034679016],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969994,0.000048897982,0.00037368934,0.0010777261,0.000665949,0.00083433266],"domain_scores_gemma":[0.99878687,0.0000425261,0.00011976193,0.0007094958,0.0000011903213,0.00034016246],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00027893946,0.0003415662,0.0002856905,0.00028444614,0.0015168709,0.000041758754,0.0006999793,0.00023810985,0.00080060674],"category_scores_gemma":[0.00009479256,0.000314746,0.000066628665,0.0011345496,0.01639234,0.0014852751,0.0013134655,0.00039782684,0.0003196607],"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":[0.000013950448,0.00026466284,0.7460105,0.0000029189212,0.0000059972854,0.00006792518,0.001203413,0.00017410037,0.23639686,0.0001310983,0.00006230094,0.015666293],"study_design_scores_gemma":[0.00048960745,0.00030349524,0.924604,0.0000063675043,0.000014150256,0.0003233392,0.0015368306,0.0006771236,0.057267215,0.0029111728,0.01131426,0.00055245473],"about_ca_topic_score_codex":0.00019795903,"about_ca_topic_score_gemma":0.000040779745,"teacher_disagreement_score":0.17912965,"about_ca_system_score_codex":0.0012217935,"about_ca_system_score_gemma":0.000024381121,"threshold_uncertainty_score":0.99993044},"labels":[],"label_agreement":null},{"id":"W1978354185","doi":"10.1002/ieam.1308","title":"Evaluating the relevance of seasonal differentiation of human health intake fractions in life cycle assessment","year":2012,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","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":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Environmental science; Bioaccumulation; Life-cycle assessment; Food chain; Pollutant; Human health; Population; Atmospheric sciences; Mathematics; Geography; Ecology; Biology; Physics; Demography; Production (economics); Environmental health","score_opus":0.02485479563458041,"score_gpt":0.3554458757659848,"score_spread":0.33059108013140437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978354185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945461,0.00014640958,0.0010417653,0.00038938274,0.00008517044,0.000904993,0.000022379902,0.000013754066,0.0028500063],"genre_scores_gemma":[0.99596107,0.0004257396,0.0030252906,0.00016233494,0.000014827432,0.00011373369,0.00007295634,0.000018240942,0.00020578376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976091,0.00031214542,0.00066010666,0.0003195562,0.0006666851,0.00043243196],"domain_scores_gemma":[0.999017,0.00007963994,0.0003907331,0.00034766222,0.0000027144795,0.00016223337],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00119809,0.00024615778,0.0003097143,0.00007081582,0.00021484248,0.000018861296,0.00020787481,0.00005678393,0.0012314417],"category_scores_gemma":[0.000010752054,0.00018882212,0.000082067934,0.00020713748,0.00038405476,0.00041693737,0.00040859828,0.00027823687,0.000007763755],"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":[0.000028624156,0.0015329785,0.94706655,0.00008473908,0.000070993694,7.2664824e-7,0.0007300469,0.0021165202,0.008299135,0.0013867106,0.000106162646,0.0385768],"study_design_scores_gemma":[0.00066206267,0.00036343627,0.9877634,0.000043797612,0.000043807395,0.0000011752708,0.0043577813,0.00557212,0.00027495576,0.0004509462,0.00029947635,0.00016704455],"about_ca_topic_score_codex":0.0006315237,"about_ca_topic_score_gemma":0.00012320137,"teacher_disagreement_score":0.040696833,"about_ca_system_score_codex":0.0012471136,"about_ca_system_score_gemma":0.00001675688,"threshold_uncertainty_score":0.9996816},"labels":[],"label_agreement":null},{"id":"W1978462527","doi":"10.3152/147154304781780190","title":"Inventive concentration in the production of green technology: a comparative analysis of fuel cell patents","year":2004,"lang":"en","type":"article","venue":"Science and Public Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":41,"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":"Gini coefficient; Context (archaeology); Production (economics); Index (typography); Business; Natural resource economics; Economics; Geography; Mathematics; Inequality; Computer science","score_opus":0.02164482984682872,"score_gpt":0.2859077956183412,"score_spread":0.2642629657715125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978462527","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422145,0.000027437654,0.0000073329447,0.002167106,0.0000100628695,0.00020450083,0.000003881122,0.0000034041911,0.003354832],"genre_scores_gemma":[0.9998078,0.00002109479,0.00004967397,0.00008328503,0.0000039223664,0.0000072380262,0.0000016391775,7.5784243e-7,0.00002462861],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99906623,0.00003903361,0.0001598883,0.0001905404,0.00034611172,0.00019819925],"domain_scores_gemma":[0.99963915,0.000010724933,0.000105442305,0.00018064001,0.000022020837,0.000041999367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007136235,0.000058414047,0.00012139583,0.00027134342,0.00008374861,0.000014532763,0.0002413018,0.000027476666,0.000016725187],"category_scores_gemma":[0.00014732349,0.000040134364,0.00002381122,0.004941184,0.002517892,0.00050862087,0.00009491651,0.000059299007,0.0000018567308],"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":[0.000006339361,0.00029713925,0.9633452,0.000011272342,0.00001076458,3.385413e-7,0.01481859,0.0004921681,0.01676993,0.0023875774,0.0000061884034,0.0018544759],"study_design_scores_gemma":[0.00014819985,0.000085638734,0.9752315,0.0000029037333,0.000021447784,8.0049125e-7,0.008257039,0.00019422517,0.009919279,0.0060435883,0.00004397379,0.000051358395],"about_ca_topic_score_codex":0.0068494817,"about_ca_topic_score_gemma":0.00087421533,"teacher_disagreement_score":0.01188633,"about_ca_system_score_codex":0.0002687581,"about_ca_system_score_gemma":0.00010449268,"threshold_uncertainty_score":0.99976397},"labels":[],"label_agreement":null},{"id":"W1978855141","doi":"10.1016/j.envsci.2004.12.006","title":"Carbon dioxide emissions and climate change: policy implications for the cement industry","year":2005,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":330,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"","keywords":"Greenhouse gas; Climate change; Kyoto Protocol; Global warming; Natural resource economics; Negotiation; Greenhouse gas removal; Environmental science; Business; Climate change mitigation; Environmental resource management; Environmental economics; Environmental protection; Economics; Ecology; Political science","score_opus":0.019548476436562486,"score_gpt":0.3116714705009725,"score_spread":0.29212299406441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1978855141","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95912224,0.00013287437,0.00002698639,0.033759266,0.000037996502,0.0011802636,0.000087207154,0.00003995156,0.0056132334],"genre_scores_gemma":[0.99500364,0.00040553548,0.00041485677,0.0027668348,0.0004196986,0.00038365566,0.0000060640564,0.000023786804,0.00057590345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975424,0.000037922277,0.00029242144,0.0006347616,0.00043566007,0.0010568481],"domain_scores_gemma":[0.99860924,0.000081332095,0.00011474255,0.00065812387,0.0000020104571,0.00053457],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0006521082,0.0002757751,0.00015869302,0.00010614968,0.0013996002,0.000078437486,0.0006553382,0.00012723598,0.00029562236],"category_scores_gemma":[0.0001229416,0.00020483964,0.00007822614,0.0005525475,0.0027455462,0.0006484461,0.0010990353,0.00027214014,0.000054276225],"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":[0.000025801492,0.00042608348,0.6461072,0.000008589058,0.00001076365,6.6645214e-7,0.0031329356,0.0005022467,0.12044518,0.0032042614,0.00018470171,0.2259516],"study_design_scores_gemma":[0.00033138457,0.00009070555,0.9695016,0.0000051279912,0.000019811609,0.000018206201,0.0007398313,0.0006884444,0.0048966156,0.00076666457,0.022662383,0.0002792156],"about_ca_topic_score_codex":0.0014666088,"about_ca_topic_score_gemma":0.00007337651,"teacher_disagreement_score":0.32339445,"about_ca_system_score_codex":0.002225968,"about_ca_system_score_gemma":0.00005641148,"threshold_uncertainty_score":0.9999684},"labels":[],"label_agreement":null},{"id":"W1982114232","doi":"10.1016/j.ces.2009.10.015","title":"Sustainability indicators for decision-making and optimisation in the process industry: The case of the petrochemical industry","year":2009,"lang":"en","type":"article","venue":"Chemical Engineering Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Sustainability; Process (computing); Plan (archaeology); Petrochemical; Sustainable development; Performance indicator; Environmental economics; Engineering; Process management; Operations research; Business; Management science; Risk analysis (engineering); Computer science; Economics; Waste management; Marketing","score_opus":0.004428513649988722,"score_gpt":0.26382201469603866,"score_spread":0.25939350104604997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1982114232","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982465,0.000010683522,0.00025626257,0.00096733536,0.000018079096,0.00043071908,0.0000019252534,0.0000085607635,0.00005994227],"genre_scores_gemma":[0.9993556,3.0631963e-7,0.00046660248,0.00013202058,0.00001501801,0.000025371723,2.1498585e-7,0.000002682474,0.00000217603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989183,0.000016457296,0.0001961161,0.0002694811,0.00029563418,0.0003040122],"domain_scores_gemma":[0.99917847,0.00039147516,0.000058952406,0.0002928489,0.000011478414,0.00006676091],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010601993,0.00011218919,0.00009444266,0.00002473856,0.00016252969,0.00003864941,0.0006185585,0.00016242902,0.000014936099],"category_scores_gemma":[0.002861728,0.0000550714,0.00003482637,0.0009510183,0.0008575105,0.00020675667,0.00016384195,0.00059501285,1.0970172e-7],"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":[0.00016536878,0.0010048748,0.43636385,0.00025350248,0.000010662474,0.000064837826,0.018408189,0.13310821,0.21973969,0.0016690824,0.00023057945,0.18898115],"study_design_scores_gemma":[0.0005292636,0.00013087643,0.77737457,0.00012510698,0.00003212307,0.00043659902,0.009401527,0.07556994,0.12408837,0.0116914725,0.00009781172,0.00052232837],"about_ca_topic_score_codex":0.000013453115,"about_ca_topic_score_gemma":0.0000011687044,"teacher_disagreement_score":0.34101072,"about_ca_system_score_codex":0.00040072587,"about_ca_system_score_gemma":0.00004068703,"threshold_uncertainty_score":0.34259623},"labels":[],"label_agreement":null},{"id":"W1984190418","doi":"10.1073/pnas.1006388108","title":"Growth in emission transfers via international trade from 1990 to 2008","year":2011,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1605,"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":"Kyoto Protocol; Greenhouse gas; Developing country; International trade; Montreal Protocol; Consumption (sociology); Emissions trading; International economics; Clean Development Mechanism; Economics; Natural resource economics; Production (economics); Business; Environmental science; Economic growth; Chemistry; Ozone layer","score_opus":0.02754898177466035,"score_gpt":0.26694782753190804,"score_spread":0.23939884575724768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1984190418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9790787,0.000006345836,0.0000036053546,0.0029862258,0.000016485776,0.00015573447,0.000012628586,0.000004820191,0.017735444],"genre_scores_gemma":[0.99802715,0.000008525308,0.0015321837,0.000362531,0.000014733068,0.000006040074,1.4007927e-7,0.0000026865516,0.000046004825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984867,0.0000063481534,0.00025014387,0.0002302685,0.0008827496,0.0001437788],"domain_scores_gemma":[0.99980134,0.000029957177,0.00009410698,0.000006897294,0.0000056099148,0.00006208725],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061642745,0.0000799913,0.00009499593,0.00007047518,0.000071042785,0.0000069475045,0.0007906852,0.000056631063,0.00039135854],"category_scores_gemma":[0.00014422719,0.00005572477,0.00005092939,0.00044783507,0.0006301338,0.00052104593,0.00015187793,0.00011196028,0.000004006596],"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":[0.000043519383,0.00015881381,0.64299434,0.0000070075944,0.0000046799887,1.8544798e-8,0.0024369606,0.000056437297,0.35159206,0.00089815055,0.00052716944,0.0012808584],"study_design_scores_gemma":[0.00009941605,0.00003417538,0.7309857,0.000014546837,0.000002146911,9.114132e-7,0.0002595499,0.00022276283,0.24285854,0.025390755,0.000076806224,0.000054659875],"about_ca_topic_score_codex":0.00031663314,"about_ca_topic_score_gemma":9.115292e-7,"teacher_disagreement_score":0.10873351,"about_ca_system_score_codex":0.00015222169,"about_ca_system_score_gemma":0.0000052736727,"threshold_uncertainty_score":0.42851016},"labels":[],"label_agreement":null},{"id":"W1985892314","doi":"10.1016/j.biortech.2010.02.011","title":"Development of agri-pellet production cost and optimum size","year":2010,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Innovates; University of Alberta","funders":"Alberta Innovates - Technology Futures","keywords":"Tonne; Pellets; Pellet; Straw; Environmental science; Total cost; Biomass (ecology); Production (economics); Yield (engineering); Pulp and paper industry; Mathematics; Agricultural engineering; Waste management; Environmental engineering; Agronomy; Engineering; Economics; Materials science","score_opus":0.005280146321462525,"score_gpt":0.2154840979740236,"score_spread":0.21020395165256106,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985892314","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99723715,0.0000148756535,0.000043986718,0.00080175325,0.000054040287,0.0002850753,0.0000012367642,0.00007180318,0.0014901104],"genre_scores_gemma":[0.9812448,0.0000045726592,0.018234307,0.000025630541,0.000011003456,0.000019800884,0.0000012180883,0.000008572115,0.00045007406],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99917805,0.000010585756,0.00018364831,0.00027359172,0.00012432842,0.00022981463],"domain_scores_gemma":[0.9995427,0.000015779504,0.00007066636,0.00030427956,0.0000038018165,0.00006274935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021665984,0.00011023121,0.00012334454,0.00004660068,0.000101001504,0.0000050915755,0.00016788443,0.00017385959,0.00055568694],"category_scores_gemma":[0.00018290909,0.00009626098,0.000017146218,0.00019786561,0.00096113805,0.000052431536,0.00032295057,0.00019672335,0.000054763717],"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":[0.000014823173,0.00012729164,0.24847853,0.000010104429,0.0000054972816,0.0000016372293,0.0005461931,0.000008495777,0.6832105,0.000098216246,0.00019164682,0.06730709],"study_design_scores_gemma":[0.00026214914,0.00007258839,0.56965315,0.0000044229646,0.00000865499,0.000032580818,0.0012658987,0.000030680625,0.31260246,0.00056682556,0.11528704,0.00021354968],"about_ca_topic_score_codex":0.000020566638,"about_ca_topic_score_gemma":0.000080147496,"teacher_disagreement_score":0.370608,"about_ca_system_score_codex":0.000074488176,"about_ca_system_score_gemma":0.00000817457,"threshold_uncertainty_score":0.60843825},"labels":[],"label_agreement":null},{"id":"W1985922342","doi":"10.4018/jsesd.2013070105","title":"Scenario-Patent Protection Compared to Climate Change","year":2013,"lang":"en","type":"article","venue":"International Journal of Social Ecology and Sustainable Development","topic":"Environmental Impact and Sustainability","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":"Patentability; Kyoto Protocol; Context (archaeology); Intellectual property; Treaty; Investment (military); Climate change; International trade; Climate change mitigation; Business; Political science; Law; Politics; Geography; Patent law","score_opus":0.019962507770211312,"score_gpt":0.24794411728192997,"score_spread":0.22798160951171867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1985922342","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99325746,0.000009652724,0.00016345689,0.004898293,0.00021850616,0.00047982408,7.422519e-7,0.000007708969,0.0009643518],"genre_scores_gemma":[0.99763113,0.0000128040565,0.000817803,0.00080751453,0.00009052961,0.00008644635,0.0000019781398,0.0000069057096,0.00054491154],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99877536,0.00006379142,0.00035097043,0.00013669481,0.00030019364,0.00037298273],"domain_scores_gemma":[0.9995177,0.00001546685,0.000170683,0.00003786929,0.00011790754,0.00014039098],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005502534,0.000110678935,0.00016389566,0.00009850712,0.0002955992,0.00007267872,0.00020126984,0.0000753799,0.0012565738],"category_scores_gemma":[0.000060462182,0.000098615645,0.000041606127,0.00009005839,0.000114517505,0.00048495876,0.0003775247,0.00014420734,0.00011522967],"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":[0.00047422884,0.0007440052,0.87388736,0.000047927384,0.0001827575,0.00032512215,0.031799242,0.00026739136,0.0008878938,0.0015197783,0.0023346588,0.087529644],"study_design_scores_gemma":[0.00044975703,0.000105783314,0.9757813,0.000005810996,0.000005528214,0.000038349288,0.007826782,0.00004247455,0.0001606749,0.00095500064,0.014512398,0.000116100244],"about_ca_topic_score_codex":0.00023330686,"about_ca_topic_score_gemma":0.000040021365,"teacher_disagreement_score":0.10189399,"about_ca_system_score_codex":0.0012871427,"about_ca_system_score_gemma":0.000039466187,"threshold_uncertainty_score":0.99965644},"labels":[],"label_agreement":null},{"id":"W1986625785","doi":"10.1007/s11424-015-2152-2","title":"Evaluating the role of international trade in the growth of china’s CO2 emissions","year":2015,"lang":"en","type":"article","venue":"Journal of Systems Science and Complexity","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Greenhouse gas; China; International trade; Economics; Negotiation; International economics; Consumption (sociology); Production (economics); Emissions trading; Macroeconomics; Political science","score_opus":0.0768148174534188,"score_gpt":0.3384448908887879,"score_spread":0.2616300734353691,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986625785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951233,0.00013476408,0.00001929414,0.0010484253,0.000085173364,0.00011500385,0.0000022573022,6.9963363e-7,0.0034710679],"genre_scores_gemma":[0.99979746,0.000007840309,0.0001361741,0.000027971617,0.000020683217,0.0000010804762,9.9753535e-8,0.0000012561414,0.000007401703],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818575,0.0001632034,0.0003574492,0.00007931953,0.0010985056,0.00011576154],"domain_scores_gemma":[0.99939525,0.00006153395,0.00031843793,0.00012522744,0.000024553683,0.00007501755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0059198304,0.000053111868,0.00012837816,0.000035968984,0.00010228901,0.000029417142,0.0006118581,0.000015692725,0.000019389256],"category_scores_gemma":[0.00040895605,0.000026113092,0.000032576918,0.00027134985,0.0012382483,0.00034220848,0.00012876716,0.00012209646,4.0015345e-7],"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":[0.000064295375,0.00028503544,0.93204176,0.000017164592,0.0000076343595,0.0000027690667,0.01745032,0.0015574652,0.042714782,0.003423568,0.00017746657,0.002257718],"study_design_scores_gemma":[0.00023148165,0.0002727094,0.96586424,0.000028127315,0.0000063406787,0.0000875195,0.018205581,0.008082526,0.00087201997,0.0061541223,0.00015702401,0.00003830371],"about_ca_topic_score_codex":0.00092287216,"about_ca_topic_score_gemma":0.000016041979,"teacher_disagreement_score":0.041842762,"about_ca_system_score_codex":0.0001683429,"about_ca_system_score_gemma":0.00007638897,"threshold_uncertainty_score":0.45623776},"labels":[],"label_agreement":null},{"id":"W1986795147","doi":"10.1016/j.ecolind.2013.11.003","title":"The calculation of productivity factor for ecological footprints in China: A methodological note","year":2013,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"University of Guelph","keywords":"Arable land; Productivity; Primary production; Environmental science; Ecological footprint; Land use; Ecology; Ecosystem; Geography; Environmental resource management; Sustainable development; Agriculture; Economics; Biology","score_opus":0.03154992661817452,"score_gpt":0.3177150436309469,"score_spread":0.28616511701277236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1986795147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99536204,0.000008970059,0.0005664753,0.0011119477,0.0000851267,0.0017180964,0.0000055656687,0.000028287544,0.0011134917],"genre_scores_gemma":[0.9966897,0.000007733542,0.0026583408,0.0000716803,0.000021898953,0.00036408877,0.0000026568487,0.0000072935695,0.00017660426],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978037,0.0005264892,0.00044636315,0.00045997504,0.00024825876,0.0005152063],"domain_scores_gemma":[0.99824554,0.0011242485,0.00019489118,0.0002855659,0.000006287001,0.0001434863],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00150101,0.00018100796,0.00031696833,0.00004053755,0.00022397988,0.000023782231,0.00036636431,0.00025961665,0.0023821234],"category_scores_gemma":[0.002883315,0.00010003204,0.00014243666,0.0003169626,0.0009197785,0.00016416468,0.0003572892,0.0002822466,0.000075829055],"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":[0.000053243206,0.00075305457,0.9631081,0.000007978138,0.0000069462594,0.0000016296729,0.00023606965,0.00028140485,0.0024859563,0.000293489,0.00012441471,0.032647677],"study_design_scores_gemma":[0.00026630334,0.0003896692,0.9873471,0.0000011469235,0.00000481897,0.0000011817588,0.00006128903,0.00038433156,0.0017522316,0.008681185,0.0009778023,0.00013291754],"about_ca_topic_score_codex":0.000110140165,"about_ca_topic_score_gemma":0.00010706189,"teacher_disagreement_score":0.03251476,"about_ca_system_score_codex":0.0004926529,"about_ca_system_score_gemma":0.0000135154705,"threshold_uncertainty_score":0.99852985},"labels":[],"label_agreement":null},{"id":"W1988173520","doi":"10.1016/j.enpol.2011.03.056","title":"An assessment of factors impacting Canada's electricity sector's GHG emissions","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Standards Association","funders":"","keywords":"Greenhouse gas; Electricity; Renewable energy; Incentive; Portfolio; Electricity generation; Natural resource economics; Climate change; Renewable portfolio standard; Energy policy; Economics; Business; Environmental economics; Feed-in tariff; Engineering; Finance; Market economy","score_opus":0.015167989193537765,"score_gpt":0.2880024023968833,"score_spread":0.2728344132033455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988173520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9585429,0.000004796282,0.000255438,0.00003785171,0.000035903555,0.000052338793,0.000013847594,0.000022487284,0.041034438],"genre_scores_gemma":[0.9989773,0.0000057921775,0.00040614564,0.00016223788,0.00003910044,0.0000041853255,0.000009379175,0.000016043527,0.0003798255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986844,0.00010208581,0.00022190913,0.00023631031,0.00031269624,0.00044257662],"domain_scores_gemma":[0.9990962,0.000034195335,0.000117335825,0.0003765671,0.000004696382,0.00037096287],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013256744,0.0001691072,0.00017268254,0.000047718302,0.00014838169,0.000008103496,0.00026405702,0.0000640954,0.0024687885],"category_scores_gemma":[0.0000671938,0.00014134671,0.00005749512,0.00029901098,0.00011564503,0.0002120115,0.000109945635,0.00011571682,0.0000011620155],"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":[0.0000064383466,0.00024333523,0.9754809,0.0000040629748,0.000014120778,0.0000045457637,0.00076304964,0.00051929627,0.019435914,0.00081486226,0.00029655636,0.0024169146],"study_design_scores_gemma":[0.00009891742,0.00011716275,0.955424,0.000001958347,0.000007255085,0.0000018750862,0.00039465894,0.0004408395,0.041864008,0.0004821478,0.0010078014,0.00015933959],"about_ca_topic_score_codex":0.9578571,"about_ca_topic_score_gemma":0.36016166,"teacher_disagreement_score":0.5976954,"about_ca_system_score_codex":0.0015070684,"about_ca_system_score_gemma":0.00028591443,"threshold_uncertainty_score":0.99844307},"labels":[],"label_agreement":null},{"id":"W1988205435","doi":"10.1021/es1030883","title":"Regional Characterization of Freshwater Use in LCA: Modeling Direct Impacts on Human Health","year":2011,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":224,"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":"Unavailability; Life-cycle assessment; Context (archaeology); Water scarcity; Environmental impact assessment; Environmental science; Water quality; Scarcity; Environmental economics; Human health; Impact assessment; Environmental resource management; Effluent; Water resources; Risk analysis (engineering); Production (economics); Environmental engineering; Engineering; Business; Environmental health; Reliability engineering; Ecology; Economics","score_opus":0.036626056840366454,"score_gpt":0.26423288520974575,"score_spread":0.2276068283693793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988205435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99822366,0.0000096774265,0.00008466716,0.00019543107,0.000037811238,0.0003830971,0.000019395558,0.000049584432,0.0009966558],"genre_scores_gemma":[0.9989909,0.00004240593,0.0005502977,0.0002420549,0.000005791434,0.000022031976,0.000017165266,0.000017187367,0.00011218474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99763757,0.000058706595,0.00044350585,0.0006472365,0.00051569025,0.000697271],"domain_scores_gemma":[0.99909264,0.000009380088,0.00017786803,0.00054554304,0.0000017534767,0.0001728181],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000607559,0.00022573365,0.0002674358,0.00040476603,0.00026581908,0.000014745677,0.00054431544,0.00013117061,0.0010615393],"category_scores_gemma":[0.000030720286,0.0002044673,0.000052361564,0.0007256957,0.0023673477,0.00083886244,0.00046475453,0.00023832545,0.00008639398],"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":[0.00002689222,0.00052294886,0.56450295,0.0000036655667,0.0000021591381,0.000006520473,0.00095610024,0.00039058618,0.43197572,0.00017138745,0.0000067571664,0.001434279],"study_design_scores_gemma":[0.0003514906,0.0005970752,0.9118352,0.0000250209,0.0000031645604,0.000009386338,0.00048097473,0.0014851347,0.08376194,0.00091884227,0.00026800224,0.00026378108],"about_ca_topic_score_codex":0.0010133903,"about_ca_topic_score_gemma":0.00043586694,"teacher_disagreement_score":0.3482138,"about_ca_system_score_codex":0.001512744,"about_ca_system_score_gemma":0.000020410002,"threshold_uncertainty_score":0.99985164},"labels":[],"label_agreement":null},{"id":"W1988787316","doi":"10.1016/j.jclepro.2009.07.003","title":"Implications of choices and interpretation in LCA for multi-criteria process design: de-inked pulp capacity and cogeneration at a paper mill case study","year":2009,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Newsprint; Life-cycle assessment; Multiple-criteria decision analysis; Cogeneration; Context (archaeology); Engineering; Process (computing); Environmental impact assessment; Ranking (information retrieval); Management science; Environmental economics; Operations research; Computer science; Economics; Artificial intelligence; Pulp and paper industry","score_opus":0.04356028788828083,"score_gpt":0.3376054467014002,"score_spread":0.2940451588131194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988787316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952457,0.000042330557,0.003667094,0.00039847835,0.000029237139,0.0006057302,0.0000015577007,0.0000027239491,0.0000071449244],"genre_scores_gemma":[0.996263,0.000019566125,0.0036017718,0.00004087756,0.000032675158,0.000012028262,8.7273736e-7,0.0000042958322,0.000024862553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99922544,0.00012470495,0.00030946283,0.00015072341,0.00009449015,0.000095210766],"domain_scores_gemma":[0.99960434,0.000024296143,0.00021008775,0.00008045324,0.000029292021,0.000051531817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085288147,0.000075355645,0.00012680602,0.00004728525,0.000087596214,0.000017323031,0.000036338133,0.00003389271,0.000013716488],"category_scores_gemma":[0.00017936899,0.000063793595,0.000019950927,0.000071545706,0.00007964041,0.0006227448,0.000014323411,0.00006497917,1.2228514e-7],"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":[0.00066232117,0.0014236995,0.51752234,0.00007716002,0.000021183841,0.000014872516,0.029840738,0.008374075,0.361303,0.0000019337724,0.00006899312,0.08068967],"study_design_scores_gemma":[0.0010819027,0.001136638,0.95887893,0.000016837197,0.0000562233,0.0010884759,0.0047690826,0.0074304813,0.024695467,0.00069561676,0.000041948817,0.00010840461],"about_ca_topic_score_codex":0.00008760278,"about_ca_topic_score_gemma":0.0003794479,"teacher_disagreement_score":0.44135657,"about_ca_system_score_codex":0.00023854921,"about_ca_system_score_gemma":0.000007756099,"threshold_uncertainty_score":0.26014274},"labels":[],"label_agreement":null},{"id":"W1988843848","doi":"10.1016/j.energy.2006.10.009","title":"Understand the three different scales for measuring primary energy and avoid errors","year":2006,"lang":"en","type":"article","venue":"Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Primary energy; Work (physics); Renewable energy; Measure (data warehouse); Energy (signal processing); Joule (programming language); Scale (ratio); Electricity; Environmental science; Computer science; Engineering; Mechanical engineering; Physics; Statistics; Electrical engineering; Mathematics; Data mining","score_opus":0.011993610273649685,"score_gpt":0.1914708087537,"score_spread":0.17947719848005034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1988843848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97317064,0.0004057981,0.015599881,0.00054093375,0.000060186103,0.00010267726,0.0000056000804,0.000029407336,0.010084849],"genre_scores_gemma":[0.9976606,0.00003744769,0.00014553571,0.0002739973,0.00005740323,0.00002924994,0.000010373842,0.00001627906,0.001769144],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904305,0.00004167435,0.00014566166,0.00025480273,0.00021767868,0.0002971416],"domain_scores_gemma":[0.9995689,0.00008807114,0.000043228025,0.00022735224,0.0000020371435,0.000070429356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013385787,0.00015414564,0.00012674171,0.000013792999,0.00029487535,0.000034936635,0.0001468986,0.000052676383,0.00009745111],"category_scores_gemma":[0.000009575008,0.00010052919,0.00006313017,0.00005126615,0.00038168632,0.000115482806,0.00017601083,0.000041745643,0.0000013498438],"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":[0.00040710936,0.001082921,0.69347346,0.00012756891,0.00011108271,0.000025486754,0.0008734127,0.012552873,0.05143053,0.07954803,0.01301514,0.1473524],"study_design_scores_gemma":[0.0006670161,0.00010434735,0.8776951,0.0000083095865,0.000026397562,0.000010625755,0.000396553,0.0013782259,0.009577804,0.08350563,0.026274202,0.00035579],"about_ca_topic_score_codex":0.0018215264,"about_ca_topic_score_gemma":0.008355575,"teacher_disagreement_score":0.18422166,"about_ca_system_score_codex":0.0003573033,"about_ca_system_score_gemma":0.0000040812797,"threshold_uncertainty_score":0.4662607},"labels":[],"label_agreement":null},{"id":"W1989373011","doi":"10.7202/800606ar","title":"Un modèle de projection des prix utilisant les relations intersectorielles de l’économie canadienne","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Statistics Canada","funders":"","keywords":"Commodity; Economics; Econometrics; Economy; Welfare economics; Finance","score_opus":0.031730302612739174,"score_gpt":0.2268854572422706,"score_spread":0.19515515462953142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989373011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860754,0.000019690917,0.0023950802,0.00083402445,0.000035974757,0.0003030769,0.000009404438,0.00006972914,0.010257596],"genre_scores_gemma":[0.9939846,0.000021872916,0.003904955,0.0005324747,0.000044154756,0.000032084583,0.000008519147,0.000014943679,0.0014563997],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987446,0.00012133588,0.0002517679,0.0003135489,0.00003248771,0.00053622946],"domain_scores_gemma":[0.99930125,0.000082621395,0.000078550634,0.00027302167,0.0000045031743,0.00026006036],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044548998,0.00018234695,0.00015575647,0.000038322672,0.00027981438,0.00004685786,0.00018242485,0.00014134534,0.0016375792],"category_scores_gemma":[0.00016219313,0.00018102574,0.00008391432,0.00009656844,0.00026360629,0.00041542255,0.0000658548,0.00018710397,0.00005854217],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014327625,0.00051036535,0.80752194,0.000019598068,0.000046805144,0.00001854959,0.021991163,0.007355913,0.018616874,0.01572421,0.0005316774,0.12751965],"study_design_scores_gemma":[0.00040021032,0.00027470716,0.90197885,0.000013402822,0.000025159638,0.00004222129,0.003387947,0.0056138057,0.018722815,0.058713,0.0104307225,0.0003971679],"about_ca_topic_score_codex":0.02530602,"about_ca_topic_score_gemma":0.014140061,"teacher_disagreement_score":0.12712248,"about_ca_system_score_codex":0.003935648,"about_ca_system_score_gemma":0.00006681604,"threshold_uncertainty_score":0.99988806},"labels":[],"label_agreement":null},{"id":"W1989927370","doi":"10.2118/143131-ms","title":"Continuous Energy Efficiency and Green House Gas Emission Surveillance and Control","year":2011,"lang":"en","type":"article","venue":"SPE Digital Energy Conference and Exhibition","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Shell (Canada)","funders":"","keywords":"Greenhouse gas; Upstream (networking); Downstream (manufacturing); Production (economics); Control (management); Environmental science; Efficient energy use; Process (computing); Fugitive emissions; Computer science; Operations management; Engineering; Telecommunications","score_opus":0.008175487805367844,"score_gpt":0.1849793574227171,"score_spread":0.17680386961734926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1989927370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9789601,0.000120235825,0.0023467285,0.00012374368,0.000023611914,0.00007199911,0.000020880314,0.00005471518,0.018278012],"genre_scores_gemma":[0.9987204,0.00030133856,0.000029889981,0.00016667794,0.00001695934,0.000007670949,0.000013003513,0.000014251456,0.0007298177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989557,0.0000370247,0.00017964708,0.00038861833,0.00015504893,0.00028396293],"domain_scores_gemma":[0.99951655,0.000033426815,0.000066474684,0.00015092165,0.000009784943,0.00022284979],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000096103664,0.00019208615,0.00019511142,0.000027842802,0.00012934905,0.00010191246,0.000067011504,0.00008771451,0.00018312054],"category_scores_gemma":[0.000029481007,0.00016502896,0.000027312768,0.000064384636,0.0005194823,0.000587138,0.00013522802,0.000058018028,0.0000058608025],"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":[0.0004231032,0.00042446822,0.535982,0.00004329809,0.000026710222,0.00007444594,0.0018794957,0.0000119136785,0.014059621,0.0065957042,0.0002133712,0.44026586],"study_design_scores_gemma":[0.0051462804,0.002116767,0.84603417,0.00010824898,0.0000567362,0.0002695013,0.0026613122,0.007067736,0.02095503,0.10574474,0.007907001,0.0019324824],"about_ca_topic_score_codex":0.002574104,"about_ca_topic_score_gemma":0.00028277177,"teacher_disagreement_score":0.43833336,"about_ca_system_score_codex":0.000040922172,"about_ca_system_score_gemma":0.00000798332,"threshold_uncertainty_score":0.6729686},"labels":[],"label_agreement":null},{"id":"W1990880182","doi":"10.1007/s11367-014-0783-5","title":"Temporal differentiation of background systems in LCA: relevance of adding temporal information in LCI databases","year":2014,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Relevance (law); Computer science; Database; Temporal database; Product (mathematics); Life-cycle assessment; Data mining; Production (economics); Mathematics","score_opus":0.019004530246434205,"score_gpt":0.30073433788926,"score_spread":0.2817298076428258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1990880182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595207,0.000027569471,0.0027286084,0.00033147607,0.00023543717,0.0001400467,0.0000137010065,0.000001951553,0.00056915823],"genre_scores_gemma":[0.99899936,0.000034538447,0.0008358156,0.0000547647,0.00004087074,0.0000038426106,0.000018104982,0.0000043746054,0.0000083606365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979394,0.000169287,0.0009253909,0.00007400174,0.00077477534,0.00011714822],"domain_scores_gemma":[0.9986761,0.00019644167,0.00089773687,0.0001468931,0.00003660575,0.000046182595],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013790178,0.000091556496,0.00021690183,0.00011353008,0.000020195035,0.000027204194,0.00039060868,0.000026861735,0.000100582256],"category_scores_gemma":[0.0001844486,0.0000672554,0.000057547197,0.00011346171,0.00010080709,0.0011389222,0.00016290304,0.00016094305,0.000002880073],"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":[0.00011244618,0.00023430858,0.94942135,0.000027643026,0.000023309492,0.0000017268649,0.00038244552,0.045618076,0.0014639646,0.000619408,0.00007861205,0.0020166924],"study_design_scores_gemma":[0.0008298612,0.00009960777,0.96801794,0.000114528295,0.0000071106865,0.0000066940197,0.0017863424,0.027837895,0.00031408516,0.00037400445,0.00054299616,0.00006896513],"about_ca_topic_score_codex":0.0017211564,"about_ca_topic_score_gemma":0.00020146772,"teacher_disagreement_score":0.018596541,"about_ca_system_score_codex":0.00060052227,"about_ca_system_score_gemma":0.0000433901,"threshold_uncertainty_score":0.27425957},"labels":[],"label_agreement":null},{"id":"W1991643058","doi":"10.1016/j.scitotenv.2014.08.099","title":"Characterization factors for terrestrial acidification at the global scale: A systematic analysis of spatial variability and uncertainty","year":2014,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":116,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Hydro-Québec; ArcelorMittal; European Commission","keywords":"Environmental science; Life-cycle assessment; Spatial variability; Scope (computer science); Scale (ratio); Ecosystem; Terrestrial ecosystem; Atmospheric sciences; Environmental resource management; Climatology; Ecology; Geography; Statistics; Computer science; Mathematics; Biology","score_opus":0.007676522372272425,"score_gpt":0.22228162467863374,"score_spread":0.21460510230636132,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991643058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961189,0.0000032826324,0.0020067021,0.00039185904,0.00009541961,0.001215442,0.000062709005,0.0000044762032,0.00010119585],"genre_scores_gemma":[0.9997822,0.0000033750575,0.00003976689,0.000011689849,0.000010685851,0.00004089019,0.000009432934,0.000003809449,0.00009812441],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980097,0.00034053996,0.0004039297,0.00033376025,0.00067570485,0.00023635739],"domain_scores_gemma":[0.99835473,0.00028096006,0.00041123183,0.0008798755,0.0000044108656,0.00006877539],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0027545039,0.00014588822,0.00027519013,0.000019167048,0.00048361733,0.000025609272,0.0006045533,0.00004109117,0.00013136797],"category_scores_gemma":[0.0004769442,0.000067129826,0.0001651027,0.00040607754,0.0032233489,0.00015125921,0.00062340795,0.000052995834,0.0000031043483],"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":[0.00027204398,0.00049901824,0.23384552,0.00041485738,0.00022607688,3.665524e-8,0.0047378833,0.25793517,0.4995845,0.00040688348,0.000005471729,0.0020725683],"study_design_scores_gemma":[0.00016787015,0.00007565313,0.9236046,0.000015754571,0.00044674354,7.7915234e-7,0.00027979512,0.06279077,0.012128308,0.0003984961,0.0000057006127,0.00008551695],"about_ca_topic_score_codex":0.00050891715,"about_ca_topic_score_gemma":0.000032618937,"teacher_disagreement_score":0.6897591,"about_ca_system_score_codex":0.0007399917,"about_ca_system_score_gemma":0.000012807386,"threshold_uncertainty_score":0.9994893},"labels":[],"label_agreement":null},{"id":"W1991976470","doi":"10.1016/j.enpol.2013.02.012","title":"A modified GHG intensity indicator: Toward a sustainable global economy based on a carbon border tax and emissions trading","year":2013,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada; Center for Integrated Nanotechnologies; World Bank Group","keywords":"Greenhouse gas; Carbon tax; Economics; Gross domestic product; Emissions trading; Emission intensity; Natural resource economics; Index (typography); Climate change; Work (physics); Environmental economics; Macroeconomics; Engineering; Computer science","score_opus":0.006883993402067635,"score_gpt":0.24048310944057555,"score_spread":0.23359911603850791,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1991976470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.82848716,0.0000148218005,0.00016654326,0.002800842,0.000015716965,0.00019990766,0.000004965895,0.0000448397,0.16826524],"genre_scores_gemma":[0.9944226,0.000005047595,0.00014483795,0.002549656,0.000048783717,0.00007042493,0.0000055887176,0.000015033465,0.002738036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985564,0.0000669409,0.0001896913,0.0004045529,0.00016619697,0.0006162624],"domain_scores_gemma":[0.99911,0.000031927895,0.000067860354,0.00033766724,0.000005614614,0.0004469236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013504172,0.00022845605,0.0002116946,0.000067453686,0.00018589961,0.00007140701,0.00018171428,0.00011945078,0.0008050764],"category_scores_gemma":[0.00009512379,0.00020332976,0.00006483731,0.00023710342,0.00030406064,0.00023976238,0.00024224145,0.00012639322,0.000026056796],"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":[0.0003846823,0.0018960164,0.8665354,0.0001634188,0.0001146539,0.00013791837,0.00489936,0.014864555,0.0021424647,0.04654616,0.017709019,0.044606347],"study_design_scores_gemma":[0.002307243,0.0006688485,0.770924,0.000026149895,0.000038524628,0.00003154199,0.0036716114,0.12122635,0.0025550348,0.049529225,0.04774492,0.0012766114],"about_ca_topic_score_codex":0.04560836,"about_ca_topic_score_gemma":0.000083340245,"teacher_disagreement_score":0.16593546,"about_ca_system_score_codex":0.001459441,"about_ca_system_score_gemma":0.00006650716,"threshold_uncertainty_score":0.960747},"labels":[],"label_agreement":null},{"id":"W1993200887","doi":"10.1080/15623599.2001.10773022","title":"Modelling Greenhouse Gas Emissions for Australian Residential Building Construction","year":2001,"lang":"en","type":"article","venue":"International Journal of Construction Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Australian Research Council","keywords":"Greenhouse gas; Fossil fuel; Quarter (Canadian coin); Natural resource economics; Environmental science; Greenhouse; Business; Environmental economics; Engineering; Waste management; Economics; Geography","score_opus":0.016627304760839935,"score_gpt":0.28414960516366544,"score_spread":0.2675223004028255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1993200887","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7233943,0.000008180597,0.271032,0.0016416876,0.001299152,0.00021732876,0.000005202926,0.000017946719,0.0023842053],"genre_scores_gemma":[0.87879664,0.0002078929,0.11957538,0.00006445226,0.0002836636,0.0000068742247,0.000003845898,0.000013315429,0.0010479365],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984842,0.000037328315,0.00051676406,0.00018000828,0.00058203883,0.00019965187],"domain_scores_gemma":[0.9993081,0.000028014152,0.00036138765,0.000121413614,0.000055112854,0.00012596126],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003519534,0.0001276333,0.00013422976,0.00016010208,0.00013620211,0.00008605751,0.00031165406,0.000051327333,0.0011794793],"category_scores_gemma":[0.000024888992,0.00012337673,0.00016240243,0.00011175716,0.00022011834,0.00060690794,0.000116566785,0.00012873455,0.000013403138],"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":[0.0012099157,0.0003808154,0.119508564,0.00003548395,0.00059792475,0.00026013533,0.0003716591,0.5113816,0.0038770288,0.013387269,0.006184309,0.3428053],"study_design_scores_gemma":[0.010020942,0.0008091975,0.03284259,0.00035710138,0.00065020926,0.0063445126,0.010403045,0.055159222,0.008811841,0.18919876,0.68403584,0.0013667196],"about_ca_topic_score_codex":0.000056781653,"about_ca_topic_score_gemma":0.0000054624184,"teacher_disagreement_score":0.67785156,"about_ca_system_score_codex":0.000565139,"about_ca_system_score_gemma":0.000011251112,"threshold_uncertainty_score":0.99973357},"labels":[],"label_agreement":null},{"id":"W1994327054","doi":"10.1111/j.1530-9290.2011.00445.x","title":"Gross Direct and Embodied Carbon Sinks for Urban Inventories","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto and Region Conservation Authority; University of Toronto","funders":"","keywords":"Carbon sink; Greenhouse gas; Environmental science; Carbon sequestration; Industrial ecology; Soil carbon; Biomass (ecology); Carbon accounting; Natural resource economics; Sink (geography); Climate change; Environmental protection; Sustainability; Soil water; Ecology; Carbon dioxide; Economics; Geography; Soil science","score_opus":0.02727245945153784,"score_gpt":0.2580832236223079,"score_spread":0.23081076417077007,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1994327054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942143,0.00008654105,0.000004512349,0.0003793695,0.00088112697,0.00020407203,0.000003544002,0.000004293084,0.0042222575],"genre_scores_gemma":[0.9987496,0.000013081312,0.00014336963,0.00012007246,0.00067724,0.0000053888234,8.3405496e-7,0.000008444502,0.00028194685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895364,0.0001064065,0.0003653789,0.00009218649,0.00013262323,0.00034976873],"domain_scores_gemma":[0.99923974,0.00017408966,0.00027154846,0.00008390486,0.000008585025,0.00022210357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001059712,0.00010704142,0.00026457637,0.000033319484,0.000088950546,0.000014894407,0.00010591978,0.00020954691,0.00021635542],"category_scores_gemma":[0.00060870626,0.00008617339,0.00007147516,0.000063996435,0.0002809526,0.00026958156,0.00009526235,0.00021975538,0.0000026828327],"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":[0.00020309954,0.00013690804,0.99290586,0.0000031887635,0.000022696937,0.0000035626776,0.00064572226,0.000019152709,0.0006455285,0.0000583869,0.0032175446,0.0021383543],"study_design_scores_gemma":[0.005136407,0.0028006248,0.8896547,0.00001389524,0.00017830824,0.00017554758,0.0017959297,0.00005710624,0.0056513967,0.002086533,0.09203553,0.00041399547],"about_ca_topic_score_codex":0.00006653491,"about_ca_topic_score_gemma":0.00004039086,"teacher_disagreement_score":0.10325113,"about_ca_system_score_codex":0.00042971963,"about_ca_system_score_gemma":0.000024258341,"threshold_uncertainty_score":0.3514049},"labels":[],"label_agreement":null},{"id":"W1995926946","doi":"10.2495/sdp-v9-n1-90-105","title":"Assessing the future potential of waste flows – case study scrap tires","year":2014,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Scrap; Resource (disambiguation); Material efficiency; Life-cycle assessment; Quality (philosophy); Process (computing); Product (mathematics); Environmental science; Materials processing; Environmental economics; Resource depletion; Risk analysis (engineering); Computer science; Waste management; Engineering; Process engineering; Production (economics); Business; Mechanical engineering","score_opus":0.009516256442498877,"score_gpt":0.27501947429380713,"score_spread":0.26550321785130826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1995926946","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99780077,0.000100045356,0.0009522316,0.00021914096,0.00025983714,0.00012705433,3.1238517e-7,0.0000034984762,0.0005371411],"genre_scores_gemma":[0.9983341,0.000004982509,0.0011589552,0.00005887494,0.00020341504,0.0000020350199,0.0000011519352,0.0000067004153,0.00022977569],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9986587,0.00010483247,0.00040660374,0.00011457438,0.0005220807,0.00019320336],"domain_scores_gemma":[0.99940854,0.000071951144,0.00028945788,0.00007793268,0.00007901074,0.000073130956],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001278195,0.00011523803,0.00014878236,0.00008831319,0.00022960152,0.00014139307,0.00026024133,0.000035511013,0.00009248311],"category_scores_gemma":[0.00007580454,0.00007744192,0.00004308853,0.00009061357,0.00008439545,0.0006593728,0.00024388016,0.00017268202,0.0000011090859],"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":[0.00014734629,0.00044610086,0.8517088,0.00004167355,0.0002607575,0.016224252,0.042943157,0.014692078,0.00064796954,0.000099038516,0.00048913684,0.07229963],"study_design_scores_gemma":[0.00086155435,0.00015873532,0.306928,0.000033323526,0.000034586134,0.0018298044,0.682756,0.0012702257,0.00054859667,0.00031917152,0.005107715,0.00015225621],"about_ca_topic_score_codex":0.00010354195,"about_ca_topic_score_gemma":0.000009565273,"teacher_disagreement_score":0.6398129,"about_ca_system_score_codex":0.00019315272,"about_ca_system_score_gemma":0.000042726482,"threshold_uncertainty_score":0.31579897},"labels":[],"label_agreement":null},{"id":"W1996123109","doi":"10.1002/cjce.20051","title":"Assessment of cleaner process options: A case study from petroleum refining","year":2008,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Engineering and Physical Sciences Research Council","keywords":"Process (computing); Hazardous waste; Refinery; Oil refinery; Life-cycle assessment; Refining (metallurgy); Computer science; Environmental impact assessment; Risk analysis (engineering); Cleaner production; Process engineering; Environmental science; Waste management; Engineering; Municipal solid waste; Production (economics); Business","score_opus":0.011738955515900254,"score_gpt":0.23880755076816082,"score_spread":0.22706859525226056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996123109","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994761,0.000042480653,0.00007341958,0.000067479385,0.000038933234,0.00005440516,0.0000037603365,0.0000035827961,0.00023988026],"genre_scores_gemma":[0.9993076,8.064991e-7,0.0006066577,0.000020446665,0.000035811692,0.000002605659,5.210308e-7,0.000010239227,0.000015340991],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991779,0.000023405426,0.00028499434,0.00008501876,0.00023108358,0.00019763547],"domain_scores_gemma":[0.99939215,0.000055397923,0.00009822277,0.00015472426,0.000010685504,0.00028881573],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028713694,0.00009425995,0.00016222685,0.00003567912,0.000086957894,0.000011412659,0.00020903468,0.00003458134,0.00025199965],"category_scores_gemma":[0.0000846898,0.000069973335,0.000059421807,0.00010994453,0.00014137718,0.00013421885,0.000028388074,0.0002923459,0.0000018294018],"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":[0.000008722444,0.00016350763,0.688233,0.000015194874,0.00008028898,0.0036734282,0.005033436,0.27790204,0.024427269,0.000014581864,0.00006095018,0.00038758843],"study_design_scores_gemma":[0.0026340215,0.00074220443,0.9061807,0.00012648443,0.00025467126,0.013735567,0.010663847,0.039723262,0.024296844,0.0002219371,0.00056502136,0.0008554406],"about_ca_topic_score_codex":0.012769238,"about_ca_topic_score_gemma":0.00074808893,"teacher_disagreement_score":0.23817877,"about_ca_system_score_codex":0.0005400284,"about_ca_system_score_gemma":0.00009828883,"threshold_uncertainty_score":0.9938048},"labels":[],"label_agreement":null},{"id":"W1996539794","doi":"10.1016/j.apenergy.2012.03.031","title":"Global biofuel production and poverty in China","year":2012,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Bill and Melinda Gates Foundation","keywords":"Biofuel; Production (economics); China; Agricultural economics; Distribution (mathematics); Agriculture; Economics; Natural resource economics; Commodity; Government (linguistics); Food prices; Agricultural productivity; Business; Food security; Market economy; Biotechnology; Geography","score_opus":0.004014256884592667,"score_gpt":0.20177368357026365,"score_spread":0.19775942668567098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996539794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503308,0.000040431092,0.000059804563,0.00012398863,0.000057879923,0.000063328414,0.0000011451773,0.000017105103,0.04930554],"genre_scores_gemma":[0.999165,0.000026361446,0.00025537197,0.00022558826,0.000038947208,0.000015628217,0.0000025324366,0.00000503441,0.00026554402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993363,0.000015029965,0.000088218745,0.0001774623,0.000109646266,0.00027333313],"domain_scores_gemma":[0.9997363,0.0000039631846,0.000020059419,0.00014117388,3.3139565e-7,0.00009816883],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000119783545,0.00008957079,0.000073862604,0.000009515425,0.000044505054,0.0000072509265,0.00005282083,0.000047096783,0.0002990494],"category_scores_gemma":[0.000012615786,0.000078004734,0.000012342083,0.00014352599,0.00011331826,0.00018317603,0.00012537853,0.000035309477,0.000027666367],"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":[0.000019507643,0.00018034216,0.9714867,0.0000037072662,0.0000019025371,4.7614728e-7,0.00019544123,0.00021312872,0.0018277619,0.0024107655,0.0004860041,0.023174256],"study_design_scores_gemma":[0.00010953904,0.000011887635,0.9890141,8.035841e-7,0.000002434293,0.000004318254,0.00009651535,0.000016387923,0.0015376358,0.005267813,0.0038355244,0.00010303016],"about_ca_topic_score_codex":0.0015390723,"about_ca_topic_score_gemma":0.0006250677,"teacher_disagreement_score":0.049039997,"about_ca_system_score_codex":0.0003077337,"about_ca_system_score_gemma":0.0000017985159,"threshold_uncertainty_score":0.32743812},"labels":[],"label_agreement":null},{"id":"W1996948850","doi":"10.5558/tfc2014-120","title":"Evaluation of environmental impacts of harvest residue-based bioenergy using radiative forcing analysis","year":2014,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Northwest Advanced Renewables Alliance; U.S. Department of Agriculture","keywords":"Bioenergy; Greenhouse gas; Environmental science; Biomass (ecology); Carbon neutrality; Life-cycle assessment; Carbon sequestration; Radiative forcing; Fossil fuel; Bio-energy with carbon capture and storage; Carbon dioxide; Biofuel; Climate change mitigation; Climate change; Waste management; Ecology; Engineering; Production (economics)","score_opus":0.017143117538955838,"score_gpt":0.2696113402634263,"score_spread":0.25246822272447045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1996948850","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99761754,0.00009891334,0.0013010461,0.00003896905,0.000019032539,0.00024828242,0.000024678571,0.000007643657,0.00064388005],"genre_scores_gemma":[0.99958795,0.000004400747,0.00030454638,0.000031186108,0.000017224116,0.0000065344652,0.000014293852,0.000012597072,0.000021288879],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99794316,0.00041509594,0.00032772185,0.00022581233,0.0008006075,0.0002876077],"domain_scores_gemma":[0.99897075,0.00010799881,0.0002904237,0.00053681247,0.000008384543,0.000085659856],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020137513,0.00014791467,0.00023598874,0.00005445539,0.00013185524,0.000010641403,0.0002553957,0.00006106048,0.0011212537],"category_scores_gemma":[0.00012643874,0.0001107762,0.00017453283,0.0003674774,0.0006699127,0.00022739354,0.00013261013,0.000083169565,0.000010562531],"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":[0.000030400273,0.0001246818,0.4552343,0.000009378777,0.0000866359,1.633327e-7,0.00028423974,0.507832,0.034667797,0.000020221338,0.000009488326,0.0017007209],"study_design_scores_gemma":[0.0004932686,0.00010480879,0.58577645,0.0000051893953,0.00044467425,4.7349968e-7,0.00018601461,0.3505792,0.061878726,0.00043528256,0.000015917829,0.00007997664],"about_ca_topic_score_codex":0.0023262284,"about_ca_topic_score_gemma":0.0006235766,"teacher_disagreement_score":0.15725279,"about_ca_system_score_codex":0.0010621302,"about_ca_system_score_gemma":0.00005364489,"threshold_uncertainty_score":0.99979186},"labels":[],"label_agreement":null},{"id":"W1997316126","doi":"10.1520/jai103759","title":"Thermoplastic Polyolefin Roof Membranes Exposed in the Western United States for Seven Years","year":2011,"lang":"en","type":"article","venue":"Journal of ASTM International","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Polyolefin; Roof; Thermoplastic; Materials science; Membrane; Forensic engineering; Composite material; Engineering; Structural engineering; Chemistry","score_opus":0.021333190407379795,"score_gpt":0.25001809703159716,"score_spread":0.22868490662421737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1997316126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975119,0.000010607091,0.0005062503,0.0005892695,0.00015010589,0.00010831599,0.000010914061,0.000002231952,0.001110395],"genre_scores_gemma":[0.9984956,0.00001105458,0.00065200834,0.0003952831,0.000048527174,0.0000041555954,0.00000733442,0.000007255021,0.0003788289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99903166,0.00006518285,0.0003280722,0.00008216507,0.000358804,0.00013413808],"domain_scores_gemma":[0.99951816,0.0001364774,0.00019583144,0.00009151485,0.000014724412,0.000043317606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006322992,0.00007897596,0.0001018497,0.00007503492,0.000024570267,0.000025387804,0.00042694958,0.00003004077,0.0009507435],"category_scores_gemma":[0.000085712454,0.000052124473,0.00008202391,0.000082934646,0.00009914327,0.00025207957,0.00005252974,0.00012332814,0.000020099418],"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":[0.00080139196,0.0013048296,0.9403234,0.0000154567,0.000109214045,0.000118049014,0.037151903,0.006031227,0.004334386,0.00012850047,0.0023324376,0.007349212],"study_design_scores_gemma":[0.0007984817,0.00024567518,0.98479086,0.000012524088,0.000011568647,0.0000640154,0.0028828513,0.0007966786,0.000822932,0.001580059,0.007910948,0.00008341699],"about_ca_topic_score_codex":0.00013363361,"about_ca_topic_score_gemma":0.00008161011,"teacher_disagreement_score":0.044467457,"about_ca_system_score_codex":0.0001555609,"about_ca_system_score_gemma":0.000009352531,"threshold_uncertainty_score":0.9999625},"labels":[],"label_agreement":null},{"id":"W1998574888","doi":"10.1007/s11367-010-0172-7","title":"A framework for assessing off-stream freshwater use in LCA","year":2010,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":262,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life cycle inventory; Freshwater ecosystem; Life-cycle assessment; Environmental science; Environmental resource management; Resource (disambiguation); Environmental planning; Computer science; Ecosystem; Ecology; Biology","score_opus":0.0202617119618982,"score_gpt":0.34013681815069263,"score_spread":0.31987510618879444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1998574888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98980486,0.000009088542,0.0045052217,0.00429137,0.00069433864,0.00016799313,0.000011063628,0.0000051446636,0.0005109444],"genre_scores_gemma":[0.965595,0.000013120933,0.033194687,0.00087071466,0.00022753648,0.000009872358,0.0000029304208,0.000012385396,0.000073728675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850744,0.00006511796,0.00045366402,0.00013287045,0.0006295991,0.00021128738],"domain_scores_gemma":[0.99893075,0.00042671652,0.00029551375,0.00019634278,0.0000344432,0.00011621839],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010197745,0.00011729824,0.00015430828,0.000052839052,0.00007312043,0.00021831003,0.0006502363,0.0000670571,0.0010534918],"category_scores_gemma":[0.00043698717,0.00007769352,0.00012445665,0.00006370337,0.00015440775,0.00080090686,0.00020605413,0.00048705924,0.00000958795],"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":[0.00012166267,0.00051372865,0.9715431,0.0000034189018,0.00006449206,0.00003096444,0.0004271773,0.0039017147,0.008080096,0.0014923115,0.0008118342,0.013009541],"study_design_scores_gemma":[0.0007073925,0.000076210184,0.9622261,0.000027337428,0.000015520765,0.00003814947,0.00060146756,0.0041508307,0.00069651223,0.022420077,0.008913031,0.00012737287],"about_ca_topic_score_codex":0.00018188596,"about_ca_topic_score_gemma":0.00055395,"teacher_disagreement_score":0.028689465,"about_ca_system_score_codex":0.00041550747,"about_ca_system_score_gemma":0.000064529944,"threshold_uncertainty_score":0.9998597},"labels":[],"label_agreement":null},{"id":"W1999571832","doi":"10.1111/j.1754-7121.2006.tb02018.x","title":"Policy challenges to implementing extended producer responsibility for packaging","year":2006,"lang":"en","type":"article","venue":"Canadian Public Administration","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Public administration; Business","score_opus":0.020859898930629915,"score_gpt":0.2918554466915234,"score_spread":0.2709955477608935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999571832","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88116735,0.000017852679,0.0004845609,0.09887117,0.000054747572,0.0011976612,0.00007069368,0.000046473328,0.01808951],"genre_scores_gemma":[0.9961459,0.0000012406343,0.0012583125,0.00052957353,0.00016917282,0.00013387164,0.00007971821,0.000016670825,0.0016655062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99827194,0.00006387911,0.00026145877,0.00047030248,0.00018417528,0.0007482664],"domain_scores_gemma":[0.998977,0.00003515795,0.000057946956,0.00038818593,0.000017816299,0.000523897],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089170487,0.00014575907,0.00010832556,0.00012132729,0.00037618112,0.000112016176,0.00016579131,0.000063438245,0.0004660612],"category_scores_gemma":[0.00047831162,0.00015620941,0.00005130482,0.00025307486,0.00008885032,0.00040750828,0.000054391527,0.00006367168,0.000046458776],"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":[0.00021588623,0.0006887724,0.38655815,0.00015724172,0.00003592128,0.000036594076,0.0015564553,0.000044929366,0.012092353,0.2535274,0.024991084,0.3200952],"study_design_scores_gemma":[0.0002556946,0.00021722246,0.666693,0.000003067948,0.000006835948,0.00000824876,0.00075730984,0.00011131277,0.0021610637,0.012530391,0.31694365,0.00031223445],"about_ca_topic_score_codex":0.0100041665,"about_ca_topic_score_gemma":0.55815476,"teacher_disagreement_score":0.5481506,"about_ca_system_score_codex":0.0017459694,"about_ca_system_score_gemma":0.000492434,"threshold_uncertainty_score":0.9965883},"labels":[],"label_agreement":null},{"id":"W1999886794","doi":"10.3390/su5051960","title":"Accounting for the Ecological Footprint of Materials in Consumer Goods at the Urban Scale","year":2013,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Foreign Affairs and International Trade Canada; European Commission","keywords":"Ecological footprint; Carbon footprint; Life-cycle assessment; Municipal solid waste; Environmental economics; Environmental resource management; Environmental science; Scale (ratio); Renewable energy; Greenhouse gas; Goods and services; Energy consumption; Industrial ecology; Business; Production (economics); Sustainability; Ecology; Waste management; Engineering; Geography; Economics","score_opus":0.007748191456060439,"score_gpt":0.24885933544954483,"score_spread":0.2411111439934844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999886794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99367154,0.000040240797,0.000039299124,0.0028638022,0.00006529998,0.0027871248,0.000009678585,0.000014352254,0.00050867494],"genre_scores_gemma":[0.99850684,0.0000048578036,0.00008389046,0.00013826748,0.00001765706,0.0005329844,0.0000025970858,0.000010081836,0.0007028427],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982394,0.00023695038,0.00043357842,0.00034597286,0.00022245913,0.000521623],"domain_scores_gemma":[0.99842703,0.00069222343,0.00012964442,0.0006541809,0.000035367844,0.00006157113],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019902615,0.00016490354,0.00023187883,0.000012976429,0.00027944855,0.00004190052,0.00042051997,0.000099055105,0.0029422403],"category_scores_gemma":[0.0010770619,0.00008754919,0.00010732793,0.00015747649,0.0015164845,0.00014722404,0.0007833503,0.00012767832,0.000030371559],"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":[0.000053449436,0.0002153948,0.9923031,0.00006137751,0.0000059300405,4.596707e-7,0.00076462515,0.00027907785,0.0025166217,0.00013557723,0.000442888,0.003221544],"study_design_scores_gemma":[0.00027009417,0.00007002314,0.9747865,0.0000017194964,0.000011332883,0.0000011580672,0.0031237626,0.00009114442,0.008869536,0.01049743,0.0021664142,0.000110853136],"about_ca_topic_score_codex":0.0037634263,"about_ca_topic_score_gemma":0.0007465957,"teacher_disagreement_score":0.017516524,"about_ca_system_score_codex":0.0019433497,"about_ca_system_score_gemma":0.000035779085,"threshold_uncertainty_score":0.9979692},"labels":[],"label_agreement":null},{"id":"W1999991617","doi":"10.1016/j.esr.2014.06.001","title":"The renewable energy plan in Morocco, a Divisia index approach","year":2014,"lang":"en","type":"article","venue":"Energy Strategy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"","keywords":"Divisia index; Renewable energy; Environmental economics; Energy mix; Energy strategy; Wind power; Index (typography); Hydroelectricity; Electricity generation; Natural resource economics; Business; Environmental science; Economics; Energy policy; Energy intensity; Engineering; Computer science; Power (physics); Efficient energy use","score_opus":0.015208358115682781,"score_gpt":0.2285824413538009,"score_spread":0.21337408323811813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999991617","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.09837443,0.009891301,0.017094688,0.00030749576,0.00020175794,0.00063545204,0.0000041587914,0.00010092417,0.8733898],"genre_scores_gemma":[0.98625267,0.0026902528,0.00014897235,0.00041742614,0.00005547593,0.00014709281,0.000016073871,0.000020419777,0.010251596],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977338,0.00050569786,0.0004888538,0.0004456366,0.00026891852,0.00055710884],"domain_scores_gemma":[0.9989507,0.00007099904,0.00014064624,0.00067057007,0.0000022295858,0.00016485955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010918932,0.00026613337,0.00034616838,0.000024395538,0.00023037299,0.000077111996,0.0005071427,0.00010596565,0.00038064393],"category_scores_gemma":[0.000061658444,0.00016963862,0.00011406439,0.0003084781,0.000283044,0.00023214304,0.0002117629,0.00014903446,0.00005092871],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008963275,0.0007070411,0.2509588,0.000069493464,0.000027671394,0.000014041032,0.00039244618,0.09252778,0.0009962369,0.014251782,0.023783956,0.61618114],"study_design_scores_gemma":[0.00028212133,0.00009537269,0.06161638,0.000014377747,0.000007594718,0.000007677474,0.00015124728,0.008991049,0.00019685343,0.006149827,0.92217135,0.00031612738],"about_ca_topic_score_codex":0.012473597,"about_ca_topic_score_gemma":0.007843622,"teacher_disagreement_score":0.89838743,"about_ca_system_score_codex":0.000249139,"about_ca_system_score_gemma":0.000012381696,"threshold_uncertainty_score":0.9941024},"labels":[],"label_agreement":null},{"id":"W2002456016","doi":"10.1065/lca2005.11.006","title":"Progresses in Life Cycle Impact Assessment within the UNEP/SETAC Life Cycle Initiative","year":2005,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Life-cycle assessment; Life cycle inventory; Environmental science; Environmental planning; Engineering; Economics","score_opus":0.01636762266737149,"score_gpt":0.3426768064359705,"score_spread":0.32630918376859896,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002456016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96825254,0.00020461653,0.00042042986,0.025631499,0.00041734512,0.0005004412,0.000023405433,0.00001939898,0.004530311],"genre_scores_gemma":[0.9936181,0.0001268683,0.0016019149,0.0040142327,0.00049816346,0.000039674756,0.000008339425,0.00003343124,0.00005929267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952593,0.0005649474,0.0012638096,0.00032452482,0.0020901726,0.00049728254],"domain_scores_gemma":[0.9974283,0.00048799603,0.001088895,0.00045167684,0.00008952955,0.00045359015],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002856227,0.00036494565,0.00043231572,0.00011943085,0.00027147072,0.0002938388,0.0016864525,0.000091832786,0.0023324215],"category_scores_gemma":[0.00047964026,0.00021132917,0.0003121719,0.00029296943,0.00050816406,0.0012468519,0.0006673379,0.00089665904,0.000072563445],"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":[0.00035132034,0.0018725557,0.5793347,0.000009573991,0.0005582033,0.00006963893,0.003504656,0.40289664,0.00060474896,0.0005133636,0.002327752,0.007956871],"study_design_scores_gemma":[0.001490082,0.00033404137,0.9624526,0.000049165643,0.00005223783,0.00005468248,0.0047722836,0.026632048,0.00018549827,0.002831259,0.00087621977,0.0002698726],"about_ca_topic_score_codex":0.0005230652,"about_ca_topic_score_gemma":0.00029404814,"teacher_disagreement_score":0.38311794,"about_ca_system_score_codex":0.002686138,"about_ca_system_score_gemma":0.00066342275,"threshold_uncertainty_score":0.99857956},"labels":[],"label_agreement":null},{"id":"W2002831740","doi":"10.1016/j.ecolind.2013.11.020","title":"A review on China's pollutant emissions reduction assessment","year":2013,"lang":"en","type":"review","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Key Research and Development Program of China; National Development and Reform Commission; Ministry of Science and Technology of the People's Republic of China; Chinese Academy of Sciences; Bundesministerium für Bildung und Forschung; National Natural Science Foundation of China; Alexander von Humboldt-Stiftung","keywords":"Pollutant; Sustainability; China; Government (linguistics); Environmental economics; Business; Plan (archaeology); Environmental science; Environmental planning; Emissions trading; Investment (military); Environmental resource management; Natural resource economics; Environmental protection; Greenhouse gas; Economics; Ecology; Geography; Political science","score_opus":0.029116650543986138,"score_gpt":0.35464641215369197,"score_spread":0.3255297616097058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2002831740","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0005297011,0.9735214,0.0000032701837,0.0003600173,0.00023782898,0.0029883941,0.000029942115,0.00010083257,0.022228617],"genre_scores_gemma":[0.00044100545,0.9959774,0.00025668842,0.0004661581,0.00007196888,0.00069621985,0.000068472,0.000039586674,0.0019825269],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964848,0.00063972024,0.00084141485,0.00089980493,0.0004855324,0.0006486953],"domain_scores_gemma":[0.9980384,0.00010490105,0.00056822546,0.0007418338,0.000001936365,0.0005446942],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00072997867,0.0006273781,0.0015137065,0.00010810167,0.00033024035,0.000041683834,0.00064302556,0.0005537214,0.054543946],"category_scores_gemma":[0.00022953306,0.0003780329,0.00064505875,0.0007022083,0.00047805108,0.0001413597,0.000568969,0.0011044154,0.0040677804],"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":[0.0000010398037,0.0006907451,0.00016331268,0.0031884925,0.000035379977,0.000016640222,0.000013193265,0.0000018211939,7.6638395e-7,0.000053829583,0.02905078,0.966784],"study_design_scores_gemma":[0.00005884254,0.0003075892,0.008428742,0.003962519,0.00025816172,0.00003656016,0.000014466604,0.0000012444808,5.6896175e-7,0.0001696554,0.9863107,0.000450917],"about_ca_topic_score_codex":0.000027990769,"about_ca_topic_score_gemma":9.289665e-7,"teacher_disagreement_score":0.9663331,"about_ca_system_score_codex":0.002779908,"about_ca_system_score_gemma":0.00008328601,"threshold_uncertainty_score":0.99986714},"labels":[],"label_agreement":null},{"id":"W2004796913","doi":"10.4271/2013-01-2167","title":"Using a Specific Environmental Tool to Assess the Impacts of Biofuels Transport Policies","year":2013,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Biofuel; Environmental impact assessment; Environmental economics; Environmental science; Business; Natural resource economics; Computer science; Engineering; Economics; Waste management; Ecology","score_opus":0.020866790041048973,"score_gpt":0.26347417172102366,"score_spread":0.2426073816799747,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004796913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9827129,0.0000925219,0.0000021609605,0.0021797426,0.0000853191,0.00198349,0.00008663375,0.00030834673,0.012548838],"genre_scores_gemma":[0.9943372,0.00016607593,0.0028466007,0.0019738507,0.00006598259,0.00020682746,0.000018952445,0.00009312947,0.00029135667],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9951877,0.00018571422,0.001119398,0.0010162157,0.0012689767,0.0012220216],"domain_scores_gemma":[0.9972589,0.00025678356,0.00024124974,0.0016799071,0.000011692089,0.0005514791],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000695972,0.0007568476,0.00078608457,0.00010628968,0.00046084524,0.000088522436,0.0013305814,0.00047905432,0.0070279543],"category_scores_gemma":[0.00018069682,0.0005357311,0.0004979034,0.0006767817,0.002854468,0.0008866827,0.00075083657,0.0007930945,0.00047881532],"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":[0.00012618776,0.0005616553,0.030094083,0.000020682595,0.000022354472,0.000013366276,0.00016092084,0.00009977627,0.96465856,0.0004614805,0.00059821486,0.0031827383],"study_design_scores_gemma":[0.0003645129,0.0008420182,0.98143774,0.000049257098,0.000047733607,0.000057074216,0.00069326913,1.0476e-7,0.0021997597,0.0017884239,0.011894256,0.0006258545],"about_ca_topic_score_codex":0.0006817922,"about_ca_topic_score_gemma":0.011154402,"teacher_disagreement_score":0.9624588,"about_ca_system_score_codex":0.0011257817,"about_ca_system_score_gemma":0.000034188095,"threshold_uncertainty_score":0.9998592},"labels":[],"label_agreement":null},{"id":"W2004892258","doi":"10.1007/s11367-015-0868-9","title":"Analysis of water use impact assessment methods (part B): applicability for water footprinting and decision making with a laundry case study","year":2015,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Laundry; Life-cycle assessment; Environmental science; Water quality; Impact assessment; Computer science; Water scarcity; Environmental resource management; Environmental economics; Water resources; Engineering; Waste management","score_opus":0.04598735747949254,"score_gpt":0.429522105545937,"score_spread":0.38353474806644444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004892258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.931043,0.0000056805097,0.06811271,0.00023192896,0.00008224308,0.0004548117,0.0000058608975,0.000004314179,0.000059432485],"genre_scores_gemma":[0.95422584,0.0000021330004,0.04561659,0.00007241778,0.00004130902,0.000020671789,0.0000023691437,0.000011852767,0.000006810595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764854,0.00028115735,0.0007120476,0.0002342087,0.0008863792,0.00023765922],"domain_scores_gemma":[0.99851847,0.00052973826,0.0003398407,0.0003033667,0.00013018382,0.00017842969],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0053349514,0.0001721241,0.00039701536,0.00011991866,0.000105403284,0.00014132178,0.0003716188,0.00003410176,0.0001510161],"category_scores_gemma":[0.0001048896,0.000079270154,0.00020069955,0.0001155313,0.00016615893,0.00045243863,0.00051347294,0.00018187737,4.81708e-7],"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":[0.00044599568,0.0007485689,0.91838884,0.0000041510734,0.0013599354,0.000086709726,0.002029704,0.061393112,0.0013019018,0.0000062328927,0.000014656372,0.014220189],"study_design_scores_gemma":[0.002001397,0.0012109266,0.9542217,0.000019185136,0.0009642485,0.00036260625,0.011683942,0.026767442,0.0009822384,0.001439882,0.00014463974,0.00020173872],"about_ca_topic_score_codex":0.0005768603,"about_ca_topic_score_gemma":0.00016266567,"teacher_disagreement_score":0.035832908,"about_ca_system_score_codex":0.0008913893,"about_ca_system_score_gemma":0.000052923802,"threshold_uncertainty_score":0.32325432},"labels":[],"label_agreement":null},{"id":"W2004945827","doi":"10.1016/j.enpol.2005.11.024","title":"Decomposition for emission baseline setting in China's electricity sector","year":2005,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"Government of Canada; Australian Government","keywords":"Electricity; Baseline (sea); Electricity generation; Emission intensity; Environmental economics; Efficient energy use; Electricity demand; Environmental science; Natural resource economics; Economics; Engineering; Power (physics)","score_opus":0.004207243067890091,"score_gpt":0.26558208853172055,"score_spread":0.26137484546383044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2004945827","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98823744,0.00002288809,0.0040558637,0.0023881171,0.000016852915,0.000127561,0.0000066869275,0.00003312709,0.0051114825],"genre_scores_gemma":[0.99508786,0.000013320692,0.0022541003,0.0009013486,0.00024885545,0.000028136754,0.000026902508,0.000013801044,0.0014256521],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99901277,0.00007155614,0.00018851133,0.00023122081,0.00012828913,0.0003676272],"domain_scores_gemma":[0.9996355,0.000047480007,0.00004763107,0.00015178781,0.0000017561287,0.00011583014],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003066183,0.00012094736,0.000105141975,0.00006436567,0.00010882265,0.000013921273,0.000109047614,0.00006655207,0.0004752599],"category_scores_gemma":[0.000112094094,0.000112983005,0.00005548636,0.00023509427,0.0000429504,0.00021093317,0.00007289191,0.000075257514,0.000015443322],"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":[0.0002453676,0.0011079254,0.223307,0.000031152234,0.000011567963,0.0000067144906,0.0014196539,0.049914666,0.20617822,0.0016767991,0.008348097,0.50775284],"study_design_scores_gemma":[0.0014520887,0.00022346212,0.6463743,0.000016355165,0.000009283133,0.000012714518,0.00005777847,0.096870005,0.16152835,0.0049637216,0.087972336,0.00051964645],"about_ca_topic_score_codex":0.0033669698,"about_ca_topic_score_gemma":0.0004888209,"teacher_disagreement_score":0.5072332,"about_ca_system_score_codex":0.0010852015,"about_ca_system_score_gemma":0.000016896744,"threshold_uncertainty_score":0.52037627},"labels":[],"label_agreement":null},{"id":"W2005665965","doi":"10.1016/j.biortech.2011.02.009","title":"A life cycle evaluation of wood pellet gasification for district heating in British Columbia","year":2011,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pellets; Waste management; Environmental science; Combustion; Greenhouse gas; Pellet; Life-cycle assessment; Bioenergy; Pulp and paper industry; Environmental engineering; Materials science; Engineering; Biofuel; Chemistry; Composite material","score_opus":0.022946252402084658,"score_gpt":0.24533831506862483,"score_spread":0.22239206266654016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2005665965","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975319,0.00005980666,0.00028269817,0.00008081024,0.000012820256,0.0006984173,0.000012078302,0.000044179033,0.001277325],"genre_scores_gemma":[0.9978721,0.0000046157616,0.001888118,0.000025762973,0.000004840443,0.00013547028,0.000008752439,0.000009835652,0.000050488678],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902064,0.00005255482,0.0002612438,0.000250919,0.00018947758,0.00022518453],"domain_scores_gemma":[0.99954796,0.000022709148,0.00010729758,0.00025537336,0.000011542128,0.000055134547],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006176471,0.00006184661,0.00013337788,0.000045112116,0.00006581371,0.000011503679,0.00018919469,0.00014397717,0.0009171294],"category_scores_gemma":[0.00069993286,0.00009414197,0.000037442707,0.0003332018,0.0003294008,0.00006391939,0.00010670307,0.000077375444,0.000011051331],"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":[0.000008713774,0.00024114638,0.9361166,0.000010274271,0.0000033029548,6.3699093e-7,0.00033966405,0.000072880575,0.0026467815,0.000011967758,0.00016342588,0.060384642],"study_design_scores_gemma":[0.0006234609,0.00015804355,0.9882883,0.000009761932,0.000018691568,0.0000040710884,0.001995149,0.0035563938,0.0014186858,0.0035244941,0.00029384656,0.00010914578],"about_ca_topic_score_codex":0.011515326,"about_ca_topic_score_gemma":0.010541949,"teacher_disagreement_score":0.060275495,"about_ca_system_score_codex":0.00029191418,"about_ca_system_score_gemma":0.000017525388,"threshold_uncertainty_score":0.9999962},"labels":[],"label_agreement":null},{"id":"W2006281979","doi":"10.1007/s11367-014-0778-2","title":"Critical review: a summary of the current state-of-practice","year":2014,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Session (web analytics); CLARITY; Process (computing); Life-cycle assessment; Engineering ethics; Process management; Computer science; Operations research; Management science; Engineering; World Wide Web","score_opus":0.01390764139497433,"score_gpt":0.35396617768568034,"score_spread":0.34005853629070604,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006281979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9413607,0.0026054534,0.0028244972,0.041406497,0.0013291085,0.00030518134,0.000017108621,0.0000042288893,0.01014723],"genre_scores_gemma":[0.9962287,0.0014424052,0.00067443785,0.0015363009,0.000073860996,0.0000023054783,5.523563e-7,0.0000056927547,0.00003574544],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976154,0.00036946742,0.0006234664,0.00008369519,0.0011894616,0.000118498676],"domain_scores_gemma":[0.99834627,0.00063760264,0.0005885277,0.00024473306,0.000099950754,0.00008293381],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002022092,0.00008702366,0.00018600104,0.000018006353,0.000045585482,0.000017526028,0.00088247855,0.000011294941,0.0002654424],"category_scores_gemma":[0.0016644935,0.000047112677,0.00016725971,0.00007705893,0.0003449018,0.00034833726,0.00039433996,0.00028141888,0.00000641212],"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":[0.0004926703,0.0037609655,0.26555058,0.00039367672,0.00047092396,0.000017193732,0.0011893326,0.011411806,0.0050140745,0.0033025004,0.032222945,0.6761733],"study_design_scores_gemma":[0.00057407265,0.00027154127,0.9165839,0.0006398036,0.00013653866,0.000056305857,0.00019900977,0.0013334086,0.0010707929,0.011207786,0.067784764,0.00014207125],"about_ca_topic_score_codex":0.000047894617,"about_ca_topic_score_gemma":0.0000053033996,"teacher_disagreement_score":0.67603123,"about_ca_system_score_codex":0.00027620094,"about_ca_system_score_gemma":0.00007849914,"threshold_uncertainty_score":0.2906408},"labels":[],"label_agreement":null},{"id":"W2006403552","doi":"10.1007/s11367-015-0850-6","title":"A new data architecture for advancing life cycle assessment","year":2015,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lockheed Martin (Canada)","funders":"","keywords":"Interoperability; Life-cycle assessment; Computer science; Context (archaeology); Architecture; Harmonization; Data science; Systems engineering; Engineering; World Wide Web","score_opus":0.03105444192751179,"score_gpt":0.35685097059918996,"score_spread":0.3257965286716782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2006403552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7196794,0.00014550018,0.23579714,0.036245517,0.0013792503,0.0005681386,0.00006485934,0.00002409247,0.006096111],"genre_scores_gemma":[0.9336791,0.000028517778,0.06310432,0.002220828,0.0007041017,0.00000836249,0.000024944382,0.000023097802,0.0002067585],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9972172,0.000116356394,0.0006307663,0.0002652754,0.0014433955,0.00032700636],"domain_scores_gemma":[0.9979806,0.00026092216,0.0005172445,0.0005546431,0.0000647665,0.00062182255],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022141284,0.00019389689,0.00025948972,0.000053554755,0.0001113828,0.00014832465,0.0020946248,0.000049554634,0.00061751885],"category_scores_gemma":[0.000542115,0.00013256827,0.00013587243,0.00009124634,0.000112670925,0.0007314253,0.0010663234,0.00035336646,0.000017715829],"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":[0.0010454957,0.0013744,0.1390519,0.0000272935,0.0009367205,0.00008443851,0.002137616,0.5960643,0.0025803652,0.0013194453,0.11726001,0.13811797],"study_design_scores_gemma":[0.0094590755,0.0015035218,0.59073883,0.00011771497,0.0002924643,0.00031708795,0.008146487,0.12562966,0.00030440235,0.06316028,0.19939375,0.0009367482],"about_ca_topic_score_codex":0.00035946345,"about_ca_topic_score_gemma":0.00012998043,"teacher_disagreement_score":0.4704347,"about_ca_system_score_codex":0.0012792116,"about_ca_system_score_gemma":0.0006475654,"threshold_uncertainty_score":0.67613983},"labels":[],"label_agreement":null},{"id":"W2007907648","doi":"10.1016/j.techfore.2006.09.004","title":"Scenario development in China's electricity sector","year":2006,"lang":"en","type":"article","venue":"Technological Forecasting and Social Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Greenhouse gas; Electricity; Tonne; Coal; Natural resource economics; Consumption (sociology); Sustainability; Electricity generation; Environmental science; China; Economics; Natural gas; Agricultural economics; Investment (military); Environmental economics; Engineering; Waste management; Geography","score_opus":0.03763272651950719,"score_gpt":0.22815787966329404,"score_spread":0.19052515314378685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2007907648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996251,0.00004011202,0.000055184093,0.00033734296,0.000011129124,0.0002250449,0.0000012713612,0.00012556411,0.0029533794],"genre_scores_gemma":[0.99910057,0.0000032362789,0.0005900643,0.00006501204,0.000035899324,0.000045028955,0.0000052057967,0.0000068707495,0.0001480885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989966,0.000030456942,0.00016640789,0.000256279,0.00015486748,0.00039539338],"domain_scores_gemma":[0.9998468,0.000017925699,0.00004251165,0.00006029541,0.0000015479793,0.000030896896],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003073311,0.00013182723,0.00015180591,0.000039400617,0.00026428624,0.000018377183,0.00010494424,0.00018490125,0.00018406675],"category_scores_gemma":[0.000040320752,0.000109547684,0.000026634772,0.0002615918,0.00031502565,0.000090973735,0.00021020204,0.00023211459,0.000014443414],"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":[0.000016004715,0.00022365857,0.84583014,0.0000142939025,0.0000018449653,0.000027153637,0.0014068618,0.0000052622254,0.0006095057,0.0007806011,0.000056360775,0.1510283],"study_design_scores_gemma":[0.0001999048,0.000052872805,0.991702,0.000004468286,0.0000020495597,0.0000053356516,0.00012561743,0.0003766626,0.0006317208,0.0044208914,0.0023001228,0.0001783297],"about_ca_topic_score_codex":0.0013253062,"about_ca_topic_score_gemma":0.0007449504,"teacher_disagreement_score":0.15084998,"about_ca_system_score_codex":0.00041030126,"about_ca_system_score_gemma":0.0000033450526,"threshold_uncertainty_score":0.44672248},"labels":[],"label_agreement":null},{"id":"W2010251878","doi":"10.1016/j.enpol.2011.09.056","title":"Trade-linked Canada–United States household environmental impact analysis of energy use and greenhouse gas emissions","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Oak Ridge National Laboratory; AUTO21 Network of Centres of Excellence; Government of Ontario; Carnegie Mellon University","keywords":"Greenhouse gas; Environmental impact assessment; Natural resource economics; Emissions trading; Environmental science; Economics; Agricultural economics; Environmental protection; Business; Political science; Ecology","score_opus":0.018645667251912895,"score_gpt":0.22483234729521528,"score_spread":0.2061866800433024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010251878","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987189,0.00004522207,0.00008899438,0.00012154883,0.000015072555,0.000054795284,0.00040801585,0.000031174728,0.00051627756],"genre_scores_gemma":[0.99771863,0.0004912493,0.0001248636,0.00069879583,0.000020236133,0.000009270521,0.00023007895,0.000036725796,0.0006701487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809426,0.00014649805,0.00039641824,0.00041007184,0.0003900052,0.0005627304],"domain_scores_gemma":[0.99860364,0.00008789301,0.00016733773,0.00056035793,0.0000016901081,0.0005790746],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00010376356,0.00032606832,0.00039621477,0.00031572653,0.0001590239,0.000021397085,0.00025778063,0.00011436576,0.0013557505],"category_scores_gemma":[0.000039550818,0.00027754763,0.00018869087,0.0009102702,0.0005165162,0.00032543245,0.00026665573,0.00010775194,9.2884e-7],"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":[0.00011315379,0.00066369015,0.97107995,0.000005402668,0.000677125,0.00004580795,0.0021882297,0.013720182,0.005391442,0.00042199666,0.001954626,0.003738388],"study_design_scores_gemma":[0.00031405853,0.00015396085,0.9847734,0.0000029892178,0.00026792585,0.00000712333,0.00034827786,0.003250659,0.003167777,0.00024114327,0.00714351,0.00032918144],"about_ca_topic_score_codex":0.9445883,"about_ca_topic_score_gemma":0.33589152,"teacher_disagreement_score":0.60869676,"about_ca_system_score_codex":0.00096174236,"about_ca_system_score_gemma":0.0000674203,"threshold_uncertainty_score":0.9999677},"labels":[],"label_agreement":null},{"id":"W2010340634","doi":"10.1007/s11367-008-0025-9","title":"The role of atmospheric dispersion models and ecosystem sensitivity in the determination of characterisation factors for acidifying and eutrophying emissions in LCIA","year":2008,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":200,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"International Institute for Applied Systems Analysis","keywords":"Environmental science; Atmospheric dispersion modeling; Dispersion (optics); Atmospheric sciences; Atmospheric emissions; Deposition (geology); Sensitivity (control systems); Air pollution; Ecology; Engineering; Geology","score_opus":0.016109945225115403,"score_gpt":0.27605213572301757,"score_spread":0.2599421904979022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010340634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979199,0.000051517563,0.0012987001,0.000459451,0.000036724712,0.00018126694,0.000004255961,7.2237646e-7,0.000047446425],"genre_scores_gemma":[0.9993727,0.00018292548,0.00039947702,0.000020344729,0.00001430172,0.0000037704117,9.815632e-7,0.0000033019578,0.0000021848095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990516,0.00013808938,0.00032888923,0.00006594048,0.00033689034,0.00007859256],"domain_scores_gemma":[0.9991074,0.0004503136,0.00032620865,0.000069587426,0.000019844207,0.000026650123],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009853652,0.000061714054,0.00011083854,0.000013381569,0.0001023273,0.000017113949,0.00014677705,0.000021814687,0.0000036667125],"category_scores_gemma":[0.00008126748,0.000032627253,0.00003997983,0.00004752078,0.00009463132,0.0003033738,0.00008236963,0.00009235168,4.1019007e-8],"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":[0.000080928825,0.00012928546,0.95337176,0.000008918231,0.000012438023,0.0000029140967,0.0052593662,0.0058784564,0.025021467,0.0000881551,0.0000012884597,0.010145001],"study_design_scores_gemma":[0.0002687454,0.00005628157,0.89383954,0.000026302454,0.0000060959333,0.000019532203,0.008184094,0.095564865,0.0010018807,0.000984542,0.000015639554,0.000032457316],"about_ca_topic_score_codex":0.00014987511,"about_ca_topic_score_gemma":0.00011492807,"teacher_disagreement_score":0.08968641,"about_ca_system_score_codex":0.00023792688,"about_ca_system_score_gemma":0.000021651016,"threshold_uncertainty_score":0.13305007},"labels":[],"label_agreement":null},{"id":"W2010512122","doi":"10.1038/nclimate2160","title":"Low-carbon infrastructure strategies for cities","year":2014,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":194,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University; University of Toronto","funders":"","keywords":"Greenhouse gas; Climate change; Electrification; Work (physics); Climate change mitigation; Business; Natural resource economics; Electricity; Redevelopment; Environmental science; Environmental planning; Economics","score_opus":0.009660353066331649,"score_gpt":0.2528947242573908,"score_spread":0.24323437119105915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2010512122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97420913,0.00009132254,0.000052531363,0.000442506,0.0002887429,0.00051548524,0.000042153853,0.00007469354,0.024283456],"genre_scores_gemma":[0.99773383,0.00005108858,0.00040016128,0.0012556078,0.00029414755,0.00009915893,0.000033678447,0.000023955654,0.0001083773],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988291,0.00003725301,0.00013921148,0.00030551795,0.00021274053,0.00047615636],"domain_scores_gemma":[0.99949473,0.00005537687,0.00006410414,0.00027785441,0.0000064219357,0.00010148512],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024242511,0.0002005007,0.00017478578,0.000026130538,0.0001402779,0.00005598488,0.00020777862,0.00030723907,0.00059766154],"category_scores_gemma":[0.000051191033,0.00016551062,0.0000779312,0.000094454095,0.00021268163,0.00033347766,0.00017052048,0.0002972882,0.000024701334],"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":[0.00058873015,0.00052956515,0.799131,0.0015754298,0.00005847641,0.00001659538,0.017517274,0.0004899851,0.03651213,0.03389826,0.010340603,0.09934199],"study_design_scores_gemma":[0.0010963392,0.00046176524,0.8913808,0.00004661715,0.000042135864,0.000008307856,0.0052826195,0.00254615,0.004623425,0.04829698,0.045429245,0.00078561547],"about_ca_topic_score_codex":0.000029963507,"about_ca_topic_score_gemma":0.00008030294,"teacher_disagreement_score":0.09855638,"about_ca_system_score_codex":0.00021169742,"about_ca_system_score_gemma":0.000003968107,"threshold_uncertainty_score":0.6749327},"labels":[],"label_agreement":null},{"id":"W2013823340","doi":"10.1016/j.envpol.2015.03.039","title":"Estimating future energy use and CO2 emissions of the world's cities","year":2015,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Muscular Dystrophy Canada; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Greenhouse gas; Geography; Environmental protection; Natural resource economics; Economics; Ecology; Biology","score_opus":0.010885394402845949,"score_gpt":0.2166115288998247,"score_spread":0.20572613449697877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2013823340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99726933,0.000107665575,0.0002299727,0.0005320584,0.00018989052,0.00013824589,0.000029169776,0.000016588894,0.0014870593],"genre_scores_gemma":[0.9946845,0.000011212435,0.0014927494,0.0002565743,0.00006490869,0.000007701098,0.000008469234,0.000013174116,0.003460699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988692,0.000108570675,0.00020914381,0.00022738439,0.0003579087,0.00022783919],"domain_scores_gemma":[0.9993911,0.000022464194,0.00011096044,0.0002960049,8.8910116e-7,0.00017857944],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016885348,0.0001567048,0.00012640044,0.000023319415,0.00019641315,0.00002237292,0.00014236063,0.00006113638,0.00043703834],"category_scores_gemma":[0.000037539292,0.00011458323,0.000059263755,0.00011919592,0.0007613159,0.00044590983,0.00043087694,0.00010954518,0.000014726922],"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":[0.00004588098,0.000218897,0.95749193,0.000008657904,0.000014655539,0.0000027726687,0.0014674295,0.005681283,0.0219371,0.0003746186,0.0043927017,0.008364071],"study_design_scores_gemma":[0.00039028178,0.00006265706,0.9727834,0.000012499674,0.000023518576,0.000015101508,0.0018669517,0.0021403744,0.008143603,0.0013391044,0.013031503,0.00019102343],"about_ca_topic_score_codex":0.00035533428,"about_ca_topic_score_gemma":0.00009776027,"teacher_disagreement_score":0.015291449,"about_ca_system_score_codex":0.00048239215,"about_ca_system_score_gemma":0.000007494395,"threshold_uncertainty_score":0.47852635},"labels":[],"label_agreement":null},{"id":"W2015189584","doi":"10.1080/09535314.2014.987730","title":"DEVELOPING A MULTI-SCALE MULTI-REGION INPUT–OUTPUT MODEL","year":2014,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":66,"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":"Commodity; Interdependence; Scale (ratio); Computer science; Econometrics; Focus (optics); Industrial engineering; Economics; Geography; Cartography","score_opus":0.13429078900598906,"score_gpt":0.35841931138962807,"score_spread":0.224128522383639,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015189584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.925383,0.000047874037,0.06696875,0.0002617189,0.00017412934,0.00075433904,0.000004756672,0.000054719974,0.006350742],"genre_scores_gemma":[0.9821164,0.000019121737,0.0041422658,0.00005082766,0.00007749051,0.00012128839,0.0000047802305,0.000033424,0.013434403],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99745786,0.00043360022,0.00039855906,0.0006070781,0.00030543853,0.0007974557],"domain_scores_gemma":[0.9988995,0.00012484367,0.00007257453,0.0006164916,0.000010772153,0.0002757739],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002465779,0.00019001543,0.00026760876,0.00009854231,0.00036258408,0.00012572079,0.0005070284,0.00014489683,0.00013208571],"category_scores_gemma":[0.000107335036,0.00018026479,0.00007314901,0.000111895075,0.00042591282,0.00037393026,0.000612107,0.0003034072,0.003218923],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006348657,0.00034487768,0.7364856,0.00018867615,0.000035294295,0.000011964349,0.0045882245,0.23584118,0.0023856233,0.00081244524,0.0063930843,0.012849514],"study_design_scores_gemma":[0.000686969,0.000048618727,0.076866396,0.000023353323,0.0000022097277,0.000013278828,0.001046713,0.9110399,0.00031263722,0.0001735336,0.009516708,0.00026966436],"about_ca_topic_score_codex":0.0035197493,"about_ca_topic_score_gemma":0.0004354391,"teacher_disagreement_score":0.67519873,"about_ca_system_score_codex":0.0033422615,"about_ca_system_score_gemma":0.00006115038,"threshold_uncertainty_score":0.99755716},"labels":[],"label_agreement":null},{"id":"W2015325442","doi":"10.1016/j.ecolecon.2004.11.018","title":"Twentieth century copper stocks and flows in North America: A dynamic analysis","year":2005,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":202,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"University of Toronto; Yale University; National Science Foundation","keywords":"Copper; Tailings; Material flow analysis; Environmental science; Tailings dam; Lithosphere; Copper mining; Geology; Waste management; Metallurgy; Materials science; Engineering","score_opus":0.004632455790527608,"score_gpt":0.207617823716781,"score_spread":0.2029853679262534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2015325442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970848,0.000039578204,0.000035927016,0.00038158635,0.000029149713,0.00021321652,0.000015124271,0.000017139373,0.0021834834],"genre_scores_gemma":[0.9976097,0.0003578878,0.001067897,0.0007102321,0.000010108385,0.000019768006,0.000021896014,0.000006202449,0.00019635275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889654,0.000051922467,0.00026644353,0.00039099107,0.000048958933,0.0003451397],"domain_scores_gemma":[0.9995278,0.000051450796,0.0000660429,0.00019984381,0.0000010510423,0.00015377495],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00015295218,0.00014528654,0.00027714387,0.000049636223,0.00007376499,0.000027915468,0.00014691071,0.00008741261,0.0036870604],"category_scores_gemma":[0.000027264081,0.00012877471,0.00009241924,0.0002252123,0.00024703916,0.00022531814,0.0002706204,0.00016040906,0.00022053436],"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":[0.000016530403,0.00023131257,0.9175028,0.0000013539036,0.000025177078,0.000003398999,0.00024513577,0.06643902,0.000015341211,0.000004429539,0.000039398383,0.015476099],"study_design_scores_gemma":[0.00023049017,0.00007294269,0.93931425,2.1383713e-7,0.000030075245,0.0000010156451,0.0002721065,0.052598987,0.0000028764318,0.000094543575,0.007226695,0.00015579679],"about_ca_topic_score_codex":0.000119482975,"about_ca_topic_score_gemma":0.014663495,"teacher_disagreement_score":0.021811455,"about_ca_system_score_codex":0.0009612835,"about_ca_system_score_gemma":0.000005609306,"threshold_uncertainty_score":0.9972237},"labels":[],"label_agreement":null},{"id":"W2016993837","doi":"10.1065/lca2004.06.162","title":"Preliminary Assessment of the Environmental Benefits of Enzyme Bleaching for Pulp and Paper Making (7 pp)","year":2004,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Life-cycle assessment; Environmental impact assessment; Chlorine dioxide; Environmental science; Chlorine; Pulp (tooth); Pulp and paper industry; Waste management; Engineering; Chemistry; Production (economics); Ecology; Biology","score_opus":0.012047377012535825,"score_gpt":0.2950962223633291,"score_spread":0.2830488453507933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016993837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99447507,0.0001845541,0.0014882669,0.0028281482,0.0002167557,0.00029708495,0.000026938402,0.0000023702685,0.00048081824],"genre_scores_gemma":[0.9954334,0.00010749679,0.0039291754,0.00040793707,0.00007532386,0.000008502779,0.0000019001161,0.000012959109,0.000023327513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980894,0.00008631566,0.0006069548,0.00014177716,0.0009060212,0.00016954725],"domain_scores_gemma":[0.9988222,0.00017913332,0.0007010945,0.00021125162,0.000017487315,0.00006881537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093815854,0.00013977627,0.00021044908,0.000028459619,0.00012146082,0.000029066088,0.0006784807,0.00004210286,0.00018511465],"category_scores_gemma":[0.00005927554,0.000085969914,0.0001754428,0.000044410117,0.00030308,0.00036511946,0.0005018907,0.00021556347,5.896747e-7],"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":[0.00035143434,0.0013890651,0.6678757,0.000043877502,0.00040211694,0.0000063035136,0.0019424149,0.25514486,0.05133711,0.003429425,0.00013237177,0.017945316],"study_design_scores_gemma":[0.0010961245,0.00037317484,0.9895875,0.00007773211,0.00006361448,0.00005052241,0.0011945114,0.0013903292,0.0028772003,0.0028792461,0.00031304333,0.00009699709],"about_ca_topic_score_codex":0.00007542752,"about_ca_topic_score_gemma":0.000014853145,"teacher_disagreement_score":0.32171178,"about_ca_system_score_codex":0.00068257144,"about_ca_system_score_gemma":0.0000711582,"threshold_uncertainty_score":0.35057515},"labels":[],"label_agreement":null},{"id":"W2018213198","doi":"10.1016/j.jclepro.2009.06.006","title":"Prospects for carbon-neutral housing: the influence of greater wood use on the carbon footprint of a single-family residence","year":2009,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":137,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athena Sustainable Materials Institute","funders":"","keywords":"Greenhouse gas; Waste management; Carbon footprint; Environmental science; Fossil fuel; Life-cycle assessment; Single-family detached home; Engineering; Environmental engineering; Production (economics)","score_opus":0.02492887116627668,"score_gpt":0.23749615221818307,"score_spread":0.2125672810519064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2018213198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99667877,0.00002045788,0.0000043459577,0.0024974868,0.000097443095,0.00048676023,6.3579915e-7,0.0000045540487,0.00020955392],"genre_scores_gemma":[0.9995371,0.000013550066,0.00014711574,0.000084499945,0.00010123866,0.0000032733249,9.395097e-8,0.000008830845,0.00010430613],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986672,0.000110112036,0.00044670497,0.00017852704,0.00040202553,0.00019543771],"domain_scores_gemma":[0.9989456,0.00007489247,0.000513297,0.00036848476,0.000051689254,0.00004603417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009060715,0.00012631013,0.00019287594,0.000038532624,0.00007523641,0.000021507558,0.00023711244,0.000046151312,0.000002613078],"category_scores_gemma":[0.00044145848,0.00006870295,0.00010506375,0.00014998796,0.00034682863,0.00017361903,0.000040662606,0.0001989751,2.3123704e-7],"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":[0.00092030026,0.00047367587,0.09164115,0.000030790223,0.000025143543,0.0000049208934,0.0026340224,0.10928607,0.79168314,0.000060817318,0.000055477358,0.0031845067],"study_design_scores_gemma":[0.00016988278,0.0010945551,0.6442158,0.000052789357,0.000033203047,0.000023563276,0.0003953202,0.000041627503,0.35244393,0.0014011157,0.000059586848,0.000068591165],"about_ca_topic_score_codex":0.00017083167,"about_ca_topic_score_gemma":0.000019580244,"teacher_disagreement_score":0.5525747,"about_ca_system_score_codex":0.0002564552,"about_ca_system_score_gemma":0.000018899234,"threshold_uncertainty_score":0.2801625},"labels":[],"label_agreement":null},{"id":"W2019523133","doi":"10.1162/glep_a_00152","title":"South-South Trade and the Environment: A Brazilian Case Study","year":2012,"lang":"en","type":"article","venue":"Global Environmental Politics","topic":"Environmental Impact and Sustainability","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":"Centre for International Governance Innovation","funders":"","keywords":"Natural resource; China; Economics; International trade; Politics; Commercial policy; Environmental policy; Resource (disambiguation); International economics; Natural resource economics; Geography; Political science","score_opus":0.007826430673850499,"score_gpt":0.22926458556956278,"score_spread":0.22143815489571228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019523133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99378246,0.00030291284,0.00006751319,0.00028388164,0.00012073157,0.0013186778,0.00016901096,0.000050757888,0.0039040593],"genre_scores_gemma":[0.99845105,0.000018126577,0.00017818989,0.0007948751,0.00011086656,0.000069881884,0.000010972839,0.000037167323,0.00032887713],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99655634,0.0004038072,0.0004917649,0.00057752384,0.0006848014,0.0012857781],"domain_scores_gemma":[0.99817944,0.000073286756,0.00015026813,0.00081222673,3.7700255e-7,0.00078441366],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006934817,0.0005150834,0.00040082153,0.000019400228,0.0007150016,0.000074740354,0.00033122802,0.0001415955,0.0015177034],"category_scores_gemma":[0.00003185128,0.00038535954,0.00016874971,0.00012421352,0.0023391012,0.0004847719,0.0009899146,0.0003134587,0.0006565761],"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":[0.000038822385,0.0008913161,0.98096144,0.000006380574,0.000051899555,0.000161676,0.015835067,0.00009973419,0.00002735276,0.00038120348,0.000073197196,0.0014719013],"study_design_scores_gemma":[0.0034405165,0.0002175957,0.9269131,0.0000022813008,0.00023706428,0.0017574409,0.06306956,0.000223689,0.000040337407,0.0006995584,0.0028160997,0.0005827797],"about_ca_topic_score_codex":0.0010400108,"about_ca_topic_score_gemma":0.000036845635,"teacher_disagreement_score":0.054048374,"about_ca_system_score_codex":0.0012555494,"about_ca_system_score_gemma":0.000005643769,"threshold_uncertainty_score":0.9998598},"labels":[],"label_agreement":null},{"id":"W2019811626","doi":"10.1065/lca2006.05.250","title":"Key Elements in a Framework for Land Use Impact Assessment Within LCA (11 pp)","year":2006,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":483,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Agroscope; Universiteit Leiden","keywords":"Land use; Impact assessment; Life-cycle assessment; Environmental resource management; Environmental impact assessment; Land use, land-use change and forestry; Environmental planning; Natural resource; Agriculture; Environmental science; Agricultural land; Economic impact analysis; Natural resource economics; Geography; Civil engineering; Engineering; Production (economics); Ecology; Economics","score_opus":0.015385686878847804,"score_gpt":0.3449538560785508,"score_spread":0.329568169199703,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2019811626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98777425,0.000022785798,0.008508655,0.0024455902,0.00037085442,0.00035334102,0.00002483268,0.000006943108,0.0004927231],"genre_scores_gemma":[0.9750592,0.00002193854,0.024039702,0.0005296469,0.00021108623,0.000021051805,0.00001169707,0.000017920394,0.0000877655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974822,0.00013390357,0.00083391083,0.00018537752,0.0010613827,0.00030321837],"domain_scores_gemma":[0.99863046,0.00036243245,0.0006141116,0.00021853502,0.000044176217,0.000130254],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015172729,0.00018955952,0.00024431743,0.00006569458,0.00009646747,0.0001896143,0.0006841627,0.00006389521,0.000632045],"category_scores_gemma":[0.00016353987,0.00012568093,0.00020017689,0.000114025584,0.00011565728,0.000634197,0.00022846049,0.0003204226,0.000007249344],"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":[0.00013685985,0.0005727691,0.9552628,0.0000032768876,0.00007771258,0.000022027063,0.00019229217,0.040587578,0.00044185988,0.0012516375,0.00090643065,0.0005447593],"study_design_scores_gemma":[0.0012206319,0.0002178185,0.9687133,0.000034535038,0.00002325458,0.000021848848,0.0003806306,0.0071813436,0.00009564081,0.020796578,0.0011719947,0.00014242856],"about_ca_topic_score_codex":0.0018096903,"about_ca_topic_score_gemma":0.0005714504,"teacher_disagreement_score":0.03340623,"about_ca_system_score_codex":0.0021366486,"about_ca_system_score_gemma":0.0001381858,"threshold_uncertainty_score":0.6920449},"labels":[],"label_agreement":null},{"id":"W2020938520","doi":"10.1016/j.buildenv.2015.03.022","title":"Methodological challenges and developments in LCA of low energy buildings: Application to biogenic carbon and global warming assessment","year":2015,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":182,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Global warming; Environmental science; Greenhouse gas; Climate change; Environmental impact assessment; Civil engineering; Engineering; Production (economics)","score_opus":0.05222778061043197,"score_gpt":0.3129443662454474,"score_spread":0.26071658563501543,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2020938520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99489874,0.0011746616,0.002535824,0.00032081685,0.00001771357,0.00021672736,0.0000022409579,0.000010739905,0.00082254555],"genre_scores_gemma":[0.9679092,0.0017762125,0.030162802,0.00007392225,0.000008275418,0.000045829485,0.000001572579,0.000008269111,0.000013883737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855494,0.00012825144,0.00026085944,0.00050771167,0.0002647833,0.00028345783],"domain_scores_gemma":[0.99943084,0.000053260974,0.000071783244,0.00016644968,0.0000015233242,0.00027611828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00089426135,0.00018605268,0.00025309,0.000037311347,0.000046106434,0.000011857253,0.00009304216,0.00009173745,0.000007353165],"category_scores_gemma":[0.000039285183,0.00016934567,0.00001760534,0.00007436437,0.00021563694,0.00008663037,0.0005623416,0.000066550805,9.779658e-7],"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":[0.000052404248,0.00018960045,0.66067594,0.000039078725,0.00001478939,0.000005279242,0.0011275316,0.0011907998,0.016933093,0.00070181774,0.000005076025,0.3190646],"study_design_scores_gemma":[0.0005347338,0.00020902664,0.98963904,0.000023943749,0.000013701185,0.000014862565,0.00089223054,0.00091040303,0.002502723,0.003072942,0.0019351704,0.00025121003],"about_ca_topic_score_codex":0.00055851886,"about_ca_topic_score_gemma":0.000040525574,"teacher_disagreement_score":0.32896313,"about_ca_system_score_codex":0.000587905,"about_ca_system_score_gemma":0.0000071408112,"threshold_uncertainty_score":0.6905716},"labels":[],"label_agreement":null},{"id":"W2021985597","doi":"10.1007/s10098-013-0629-z","title":"Updated US and Canadian normalization factors for TRACI 2.1","year":2013,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":186,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Joint Research Centre; European Commission; Steelcase; U.S. Department of Agriculture","keywords":"Normalization (sociology); Interim; Computer science; Operations research; Engineering; Political science; Sociology","score_opus":0.005972709859430764,"score_gpt":0.2063129344597261,"score_spread":0.20034022460029532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2021985597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99745053,0.00006412884,0.000051182986,0.00081662036,0.00001658744,0.00062713295,0.00006435129,0.00011283409,0.0007966242],"genre_scores_gemma":[0.99854296,0.00026364293,0.00030129097,0.00028383106,0.0000104620485,0.000047228525,0.000081943654,0.00002127482,0.00044738952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99889255,0.000012628268,0.0001669887,0.0003383865,0.00009578654,0.0004936751],"domain_scores_gemma":[0.99948823,0.000020148727,0.000047568425,0.00023707499,8.316939e-7,0.00020614553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000059884784,0.00021066,0.00014690426,0.00008920976,0.00031716225,0.00005951707,0.00015333544,0.000177205,0.00053430756],"category_scores_gemma":[0.000046036443,0.00018408493,0.00003582942,0.00010441954,0.00085176906,0.00039912667,0.0002480094,0.00010224509,0.00003968957],"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":[0.0000071052928,0.00005522603,0.592584,0.000012088971,0.000011336554,0.0000012995937,0.00035249194,0.000057412984,0.0038368588,0.00024912786,0.0015601609,0.40127286],"study_design_scores_gemma":[0.00032490506,0.00017801697,0.95465374,0.0000025556735,0.000012263769,0.00000929705,0.028740983,0.00091759075,0.0040577645,0.0036887273,0.0070946105,0.00031951963],"about_ca_topic_score_codex":0.072945185,"about_ca_topic_score_gemma":0.013223105,"teacher_disagreement_score":0.40095335,"about_ca_system_score_codex":0.00049054564,"about_ca_system_score_gemma":0.000006451175,"threshold_uncertainty_score":0.93322814},"labels":[],"label_agreement":null},{"id":"W2022328954","doi":"10.1007/s11367-010-0224-z","title":"Life cycle assessment of nine recovery methods for end-of-life tyres","year":2010,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Life-cycle assessment; Strengths and weaknesses; Maturity (psychological); Product life-cycle management; Operations management; Engineering; Impact assessment; Risk analysis (engineering); Process management; Operations research; Business; Production (economics); Mechanical engineering; Economics","score_opus":0.020298566007323354,"score_gpt":0.39427612101006426,"score_spread":0.3739775550027409,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022328954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95793885,0.00006515736,0.03149957,0.0050324122,0.0011467737,0.0003289603,0.000042186366,0.0000075016737,0.0039385925],"genre_scores_gemma":[0.91347563,0.00008160643,0.08524455,0.0007629584,0.00025667358,0.000016115908,0.0000065814584,0.000020532161,0.00013532897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970644,0.00025096853,0.0011263501,0.00020746046,0.0010845453,0.00026627292],"domain_scores_gemma":[0.99706733,0.00089460483,0.001205978,0.00036332363,0.000123327,0.00034542705],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003348202,0.00020365564,0.00044032504,0.00009411452,0.00009427773,0.000053388034,0.0011309012,0.00008541679,0.00294962],"category_scores_gemma":[0.0011677254,0.0001449249,0.0003523362,0.0001104112,0.0003922978,0.00047741094,0.00042383748,0.00042923866,0.000004074102],"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":[0.0012246544,0.0037095896,0.56128263,0.0001091238,0.0017960363,0.000014678023,0.0009425913,0.082830176,0.21266386,0.004947936,0.0056303306,0.12484838],"study_design_scores_gemma":[0.002200827,0.00078231376,0.95046884,0.00004475964,0.00012525862,0.000030285311,0.001175912,0.020154422,0.00684852,0.0096314335,0.008244609,0.0002927963],"about_ca_topic_score_codex":0.0002702458,"about_ca_topic_score_gemma":0.000047740425,"teacher_disagreement_score":0.3891862,"about_ca_system_score_codex":0.00042869686,"about_ca_system_score_gemma":0.0004583582,"threshold_uncertainty_score":0.9979618},"labels":[],"label_agreement":null},{"id":"W2022350552","doi":"10.1111/1539-6924.00256","title":"Life Cycle Impact Assessment: A Challenge for Risk Analysts","year":2002,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":54,"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":"","keywords":"Risk analysis (engineering); Life-cycle assessment; Risk assessment; Business; Environmental economics; Computer science; Production (economics); Economics; Computer security","score_opus":0.009700102744504556,"score_gpt":0.2799526545404937,"score_spread":0.2702525517959891,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022350552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98406124,0.000258349,0.008372837,0.00024079648,0.000020024645,0.00033517205,0.0001488954,0.00005550653,0.006507186],"genre_scores_gemma":[0.99665755,0.0009806477,0.0015302766,0.00007463319,0.000044755936,0.000052105763,0.00003184546,0.000021834107,0.0006063325],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977794,0.00024253155,0.00038149764,0.0005814238,0.0004446979,0.0005704146],"domain_scores_gemma":[0.99824935,0.00015384347,0.00028933887,0.00073727255,0.000009540271,0.0005606544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007524343,0.0002761027,0.0004895534,0.00016286944,0.00043138795,0.00006562188,0.00030415144,0.00011084013,0.018029084],"category_scores_gemma":[0.00033062987,0.000225476,0.0010356737,0.0011754,0.00017384515,0.0003385457,0.00014485673,0.0002240562,0.0003718597],"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":[0.000013202726,0.0003948661,0.9230868,0.000004476958,0.0011094161,0.0000026836306,0.00055793027,0.06106067,0.000018314742,0.000006761176,0.0011557323,0.012589115],"study_design_scores_gemma":[0.0003551937,0.00012432592,0.67259616,7.1963643e-7,0.002100363,3.1519136e-7,0.00026043088,0.32268745,0.000009900266,0.00066125725,0.00097193127,0.00023197236],"about_ca_topic_score_codex":0.0039351294,"about_ca_topic_score_gemma":0.0009541097,"teacher_disagreement_score":0.26162678,"about_ca_system_score_codex":0.00070949487,"about_ca_system_score_gemma":0.000008724137,"threshold_uncertainty_score":0.98286855},"labels":[],"label_agreement":null},{"id":"W2022847544","doi":"10.1007/s11367-011-0300-z","title":"Categorizing water for LCA inventory","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Polytechnique Montréal","funders":"","keywords":"Rainwater harvesting; Water quality; Environmental science; Surface water; Groundwater; Contamination; Seawater; Quality (philosophy); Life-cycle assessment; Computer science; Environmental engineering; Water resource management; Engineering; Production (economics)","score_opus":0.029981474817236863,"score_gpt":0.29331592631477316,"score_spread":0.2633344514975363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2022847544","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874271,0.00001639892,0.002822395,0.0017991788,0.0005742173,0.00014023429,0.0000022466102,0.000005512981,0.007212717],"genre_scores_gemma":[0.9969904,0.000014301546,0.00180103,0.00077864004,0.0001688945,0.000008732804,0.0000019304312,0.000009624683,0.00022644724],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988393,0.000050253104,0.00034595223,0.000091689995,0.00049465284,0.00017815975],"domain_scores_gemma":[0.9995209,0.000039022885,0.00017744052,0.00012842762,0.000027743592,0.00010644116],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008848278,0.000088804016,0.00010865606,0.000028628903,0.000081821985,0.00003377905,0.00063418486,0.000026283073,0.0017737402],"category_scores_gemma":[0.000037541016,0.000049646496,0.0001274794,0.000022207152,0.00012212078,0.00032896324,0.00021404124,0.00012839418,0.000029633526],"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":[0.0009923291,0.0019139238,0.9059832,0.000024059265,0.00080853136,0.00009194179,0.014249206,0.004932372,0.035064314,0.0039113024,0.0115610175,0.020467782],"study_design_scores_gemma":[0.0028164734,0.0008331629,0.8580004,0.00002860965,0.000118672586,0.00013205921,0.0052222223,0.003967924,0.025148258,0.06412803,0.03914798,0.00045622577],"about_ca_topic_score_codex":0.00014709687,"about_ca_topic_score_gemma":0.00001481724,"teacher_disagreement_score":0.060216725,"about_ca_system_score_codex":0.0005225438,"about_ca_system_score_gemma":0.00003130344,"threshold_uncertainty_score":0.9991388},"labels":[],"label_agreement":null},{"id":"W2023230188","doi":"10.1007/s11367-014-0759-5","title":"The application of the pedigree approach to the distributions foreseen in ecoinvent v3","year":2014,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":195,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Log-normal distribution; Robustness (evolution); Monte Carlo method; Probability density function; Probability distribution; Computer science; Mathematics; Statistics","score_opus":0.009036539094697198,"score_gpt":0.2855883745154514,"score_spread":0.2765518354207542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023230188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94206375,0.000019898436,0.022861157,0.030181022,0.00021127597,0.0003969959,0.000010676409,0.0000032760977,0.004251939],"genre_scores_gemma":[0.99902266,0.000015122743,0.0002629151,0.00047163153,0.0001212996,0.000029169669,0.0000017985435,0.000006131699,0.00006924655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829364,0.00020433807,0.00041857729,0.000095090836,0.0008376617,0.00015072011],"domain_scores_gemma":[0.99898803,0.00023855739,0.00032607486,0.00035101135,0.00003186858,0.00006446658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019310915,0.00008205673,0.00009658313,0.000015775346,0.00020175571,0.00005033708,0.0015106266,0.000021623078,0.000023056564],"category_scores_gemma":[0.00021057224,0.000033653694,0.00011368333,0.00012739487,0.00023214691,0.00011515369,0.00046350458,0.00022315967,0.000008522871],"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":[0.00013600517,0.00089621684,0.8104316,0.000006566939,0.0001221423,7.0948386e-7,0.0013284461,0.12572366,0.00086199044,0.01934496,0.004645604,0.03650208],"study_design_scores_gemma":[0.00024077334,0.00004732041,0.962432,0.0000064692927,0.000012344309,0.00000917445,0.00078750995,0.014517216,0.00014954798,0.0067096734,0.015041121,0.00004683804],"about_ca_topic_score_codex":0.00028317465,"about_ca_topic_score_gemma":0.00030785587,"teacher_disagreement_score":0.15200038,"about_ca_system_score_codex":0.00056948257,"about_ca_system_score_gemma":0.00004379113,"threshold_uncertainty_score":0.28071454},"labels":[],"label_agreement":null},{"id":"W2023555815","doi":"10.3390/buildings2030245","title":"A Comparative Cradle-to-Gate Life Cycle Assessment of Mid-Rise Office Building Construction Alternatives: Laminated Timber or Reinforced Concrete","year":2012,"lang":"en","type":"article","venue":"Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":238,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Wood Council; University of British Columbia","funders":"","keywords":"Cross laminated timber; Engineering; Embodied energy; Life-cycle assessment; Civil engineering; Building design; Enclosure; Reinforced concrete; Architectural engineering; Structural engineering; Production (economics)","score_opus":0.017338297379864694,"score_gpt":0.3112548094990865,"score_spread":0.2939165121192218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2023555815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98957235,0.000017818495,0.0039274036,0.00012178881,0.00015009323,0.0006378995,0.000019303367,0.000057073845,0.005496259],"genre_scores_gemma":[0.97375184,0.000009830624,0.025075424,0.0002269854,0.00004384634,0.000034485347,0.0000064212845,0.000021574233,0.0008295845],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9979606,0.0001355783,0.00047688533,0.0003684481,0.00048308462,0.0005753943],"domain_scores_gemma":[0.99876255,0.00015040017,0.00029759484,0.00032346952,0.000023183213,0.00044279205],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006082109,0.00027829804,0.0004212474,0.00007478801,0.00016673254,0.000035638073,0.00027508926,0.000094257346,0.0023542868],"category_scores_gemma":[0.00017129886,0.00023829893,0.0000952876,0.00039931491,0.0005429833,0.0007816821,0.00035064318,0.00020159326,0.00009801887],"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":[0.0015308346,0.0002764124,0.23705493,0.0002436977,0.00037817223,0.000023068336,0.021960199,0.25544477,0.47379857,0.00449127,0.0015781999,0.0032198664],"study_design_scores_gemma":[0.0033868356,0.0009705235,0.7314118,0.00017060421,0.00017430329,0.00006803451,0.008412243,0.11073359,0.13320209,0.00015341656,0.009862396,0.0014541594],"about_ca_topic_score_codex":0.0006473944,"about_ca_topic_score_gemma":0.0000059757735,"teacher_disagreement_score":0.49435687,"about_ca_system_score_codex":0.00063907856,"about_ca_system_score_gemma":0.000031547843,"threshold_uncertainty_score":0.9985577},"labels":[],"label_agreement":null},{"id":"W2025534014","doi":"10.1016/j.esd.2010.12.001","title":"IECP — an approach for integrated environmental and cost evaluation of process design alternatives and its application to evaluate different NOx prevention technologies in a 125 MW thermal power plant","year":2011,"lang":"en","type":"article","venue":"Energy Sustainable Development/Energy for sustainable development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Weighting; Process (computing); Power station; Index (typography); Reliability engineering; Thermal power station; Engineering; Computer science; Process engineering; Waste management","score_opus":0.025317872235184086,"score_gpt":0.26118864304535655,"score_spread":0.23587077081017246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025534014","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9039444,0.00026853476,0.09058493,0.000023704935,0.000020902185,0.0044987164,0.0000099757835,0.00007834248,0.00057049876],"genre_scores_gemma":[0.97001314,0.000038567818,0.01600459,0.000036043784,0.000006585693,0.011193104,0.0003750785,0.000070788126,0.0022621048],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9954874,0.00028609496,0.00092281704,0.0012158812,0.0008000683,0.0012877607],"domain_scores_gemma":[0.9987319,0.00007852885,0.0003751012,0.00036033624,0.00019436394,0.00025976534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00246542,0.0006507934,0.00056954694,0.0005004921,0.00052921835,0.00007138426,0.00048757013,0.00026884972,0.00008130414],"category_scores_gemma":[0.00019354268,0.00059631286,0.00005960105,0.00045586142,0.00024337202,0.0010198534,0.0005857468,0.00013214763,8.948224e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010433587,0.012025031,0.09321052,0.002851599,0.0010761584,0.00010425727,0.12139957,0.07120719,0.016479123,0.036168847,0.00018398021,0.63486016],"study_design_scores_gemma":[0.009175992,0.00200946,0.20603086,0.000115549024,0.0002267209,0.000024112274,0.31542173,0.09011939,0.347603,0.016833138,0.009539144,0.0029009054],"about_ca_topic_score_codex":0.00029424977,"about_ca_topic_score_gemma":0.000105305444,"teacher_disagreement_score":0.63195926,"about_ca_system_score_codex":0.003128575,"about_ca_system_score_gemma":0.00043186944,"threshold_uncertainty_score":0.9996488},"labels":[],"label_agreement":null},{"id":"W2025539441","doi":"10.1139/x08-046","title":"Future carbon storage in harvested wood products from Ontario’s Crown forests","year":2008,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Ontario Forest Research Institute","funders":"Government of Ontario","keywords":"Environmental science; Forestry; Carbon stock; Fossil fuel; Carbon sink; Crown (dentistry); Greenhouse gas; Climate change; Geography; Waste management; Engineering; Ecology","score_opus":0.02910889964207535,"score_gpt":0.26447389999411147,"score_spread":0.2353650003520361,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2025539441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952373,0.00026542813,0.0000013898974,0.0009606056,0.00019388733,0.00030165273,0.000008847442,0.0000029265027,0.0030279642],"genre_scores_gemma":[0.9970467,0.000017500059,0.00015185891,0.00004001142,0.00020689738,0.0000056606177,0.000006457259,0.000019484192,0.0025054053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99742573,0.00025416855,0.0003785319,0.00028393624,0.00077530317,0.0008823209],"domain_scores_gemma":[0.99835104,0.000062453284,0.00009165662,0.00039295384,0.00005533502,0.0010465846],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011422511,0.000162504,0.00024729935,0.00030864996,0.00027051126,0.000059369322,0.0005702729,0.00014025706,0.0014781252],"category_scores_gemma":[0.00032016888,0.00014272833,0.00006788873,0.0006024205,0.0007867364,0.00047478362,0.00008241835,0.0011594855,0.000043225533],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006267958,0.00006215842,0.9898984,0.000005311758,0.000008501388,0.002031735,0.004275073,0.0006898738,0.00017321111,0.000008592859,0.0023645451,0.00041993617],"study_design_scores_gemma":[0.00051308447,0.00024074434,0.98526996,0.000022749255,0.0000033664182,0.000114040165,0.00058435905,0.000024546918,0.00022070759,0.00060585287,0.012261045,0.00013956928],"about_ca_topic_score_codex":0.75922763,"about_ca_topic_score_gemma":0.994994,"teacher_disagreement_score":0.23576634,"about_ca_system_score_codex":0.0050962297,"about_ca_system_score_gemma":0.0017278347,"threshold_uncertainty_score":0.99943465},"labels":[],"label_agreement":null},{"id":"W2026029458","doi":"10.1016/j.jclepro.2015.01.082","title":"From a critical review to a conceptual framework for integrating the criticality of resources into Life Cycle Sustainability Assessment","year":2015,"lang":"en","type":"review","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":114,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Université de Bordeaux","keywords":"Criticality; Life-cycle assessment; Scope (computer science); Sustainability; Resource (disambiguation); Bridging (networking); Conceptual framework; Computer science; Risk analysis (engineering); Engineering; Business; Production (economics)","score_opus":0.05036728384855206,"score_gpt":0.4215715151049237,"score_spread":0.37120423125637164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026029458","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003933432,0.97397715,0.006738277,0.011803112,0.0006377243,0.0027451653,0.000036319798,0.000013286352,0.00011553438],"genre_scores_gemma":[0.016146608,0.9478043,0.032418456,0.0008679061,0.00236281,0.00021438254,0.0000178147,0.00008082523,0.00008689766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99517924,0.0012854999,0.0017724314,0.0004885415,0.0009237326,0.00035054906],"domain_scores_gemma":[0.9964469,0.0012268573,0.00087606406,0.0007398761,0.00031635805,0.00039395207],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006278375,0.00035231392,0.0016582342,0.00004944669,0.00016954991,0.00004977896,0.0006071573,0.00022224795,0.00031298888],"category_scores_gemma":[0.03214836,0.00021153761,0.0006296404,0.0003193492,0.0011259769,0.00034529052,0.00032477643,0.00097601744,0.0000060896996],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011215643,0.0006228439,0.00029328596,0.018929504,0.00012046903,0.0000053823665,0.003671774,0.00016432906,0.0000033175268,0.00059861643,0.0094169285,0.9660614],"study_design_scores_gemma":[0.000107908505,0.0006135701,0.00031859256,0.009121188,0.0010653943,0.000030403095,0.008702942,0.00001188247,0.000006113072,0.039443556,0.9402841,0.00029438743],"about_ca_topic_score_codex":0.0001980053,"about_ca_topic_score_gemma":0.00001214313,"teacher_disagreement_score":0.965767,"about_ca_system_score_codex":0.0020486056,"about_ca_system_score_gemma":0.00035206683,"threshold_uncertainty_score":0.97600424},"labels":[],"label_agreement":null},{"id":"W2026041357","doi":"10.4000/vertigo.15540","title":"La Chine en transition énergétique : Un virage vers les énergies renouvelables?","year":2015,"lang":"fr","type":"article","venue":"VertigO","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Political science; Humanities; Art","score_opus":0.00853507520242567,"score_gpt":0.2241286177480722,"score_spread":0.21559354254564653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026041357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9747791,0.002715297,0.002703762,0.0037723263,0.00040451274,0.00028751974,0.000059959246,0.000080077836,0.015197425],"genre_scores_gemma":[0.99015164,0.0011062447,0.0017679865,0.0003129483,0.000111060464,0.000017841898,0.000032422926,0.00004031367,0.006459562],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974061,0.00069069566,0.00033844647,0.0004786895,0.00047700532,0.0006090313],"domain_scores_gemma":[0.99894035,0.00010888257,0.00007795966,0.00041260573,0.000009408504,0.00045080043],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007518956,0.0003545668,0.00028336208,0.00003963224,0.00020645307,0.000074597476,0.00031269126,0.00038384236,0.0038532722],"category_scores_gemma":[0.00014670046,0.000350088,0.00014827865,0.00027371524,0.00090981333,0.00086476025,0.00018535437,0.00044501876,0.0007097178],"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":[0.0011357359,0.004831048,0.30113584,0.00062149536,0.00033896827,0.0010832713,0.101579055,0.10211095,0.042456716,0.009541128,0.036418516,0.3987473],"study_design_scores_gemma":[0.0044097714,0.0015497014,0.43030673,0.00021297386,0.0002989149,0.00018956538,0.024509009,0.010640194,0.040610448,0.013162196,0.4722441,0.0018663987],"about_ca_topic_score_codex":0.0041294214,"about_ca_topic_score_gemma":0.000281355,"teacher_disagreement_score":0.4358256,"about_ca_system_score_codex":0.0016212107,"about_ca_system_score_gemma":0.00006467639,"threshold_uncertainty_score":0.9998951},"labels":[],"label_agreement":null},{"id":"W2026510504","doi":"10.1007/s11367-010-0203-4","title":"Inadequate documentation in published life cycle energy reports on buildings","year":2010,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Documentation; Embodied energy; Computer science; Architectural engineering; Engineering","score_opus":0.006623430020889955,"score_gpt":0.2874238097232723,"score_spread":0.28080037970238236,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026510504","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97960734,0.000008570784,0.00042844558,0.011367909,0.0010030721,0.000105422034,0.0000017755112,0.000008726041,0.007468713],"genre_scores_gemma":[0.9962425,0.000026238693,0.0007815063,0.0025339127,0.00022356829,0.000010292942,0.000004660596,0.000013946585,0.0001633398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974388,0.0001086855,0.0007670891,0.00021280358,0.00123925,0.00023340252],"domain_scores_gemma":[0.9986642,0.00014365902,0.00065891934,0.00027312996,0.00004031757,0.00021977446],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016151913,0.00015354753,0.00018620801,0.00011281499,0.000082393046,0.0002182512,0.0006472049,0.000061957624,0.00260228],"category_scores_gemma":[0.0004153049,0.00010942124,0.00011351746,0.0001410426,0.00015087985,0.0010763966,0.00025613932,0.0004841834,0.000015491682],"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":[0.0005301,0.001963383,0.842589,0.000007724536,0.00022657376,0.00051778165,0.0012952511,0.07284541,0.025941797,0.006191372,0.007018391,0.04087321],"study_design_scores_gemma":[0.00097451144,0.00019092625,0.96662045,0.00001949179,0.000015406713,0.0001218364,0.00058710214,0.0025484967,0.0016468657,0.020518003,0.0065674186,0.00018947948],"about_ca_topic_score_codex":0.0012492621,"about_ca_topic_score_gemma":0.00033226906,"teacher_disagreement_score":0.12403145,"about_ca_system_score_codex":0.00076961715,"about_ca_system_score_gemma":0.00010665031,"threshold_uncertainty_score":0.9983095},"labels":[],"label_agreement":null},{"id":"W2026730036","doi":"10.1007/s11367-013-0683-0","title":"Uncertainty and spatial variability in characterization factors for aquatic acidification at the global scale","year":2013,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Environmental science; Aquatic ecosystem; Spatial ecology; Spatial variability; Species richness; Ecology; Spatial heterogeneity; Atmospheric sciences; Biology; Geology","score_opus":0.009658067775153567,"score_gpt":0.27875045006230487,"score_spread":0.2690923822871513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2026730036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9824334,0.000004215196,0.0095798215,0.007162253,0.00018676506,0.00042193,0.000015655738,0.0000028363656,0.00019313474],"genre_scores_gemma":[0.999345,0.000014083341,0.00018163223,0.00031575584,0.000061028753,0.000024667126,0.000016567012,0.0000041435005,0.000037128215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875975,0.00017675011,0.00037613217,0.000119015145,0.00044136026,0.00012697617],"domain_scores_gemma":[0.99919,0.00028775676,0.00028631126,0.00013749291,0.000027092054,0.000071359864],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011346039,0.000090498936,0.00011045451,0.000013658178,0.00009987966,0.000075899035,0.00033993938,0.000031329717,0.00047568133],"category_scores_gemma":[0.00024001389,0.00005041617,0.000056275694,0.00005505011,0.00017316345,0.00032088137,0.00017387574,0.00009290379,0.0000070075866],"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":[0.000057597885,0.00014300345,0.9783186,0.000002878439,0.000022647491,2.829387e-7,0.00043455843,0.002047884,0.0046907994,0.000055606943,0.00004671765,0.014179431],"study_design_scores_gemma":[0.00036431337,0.000050689152,0.97175616,0.0000048721927,0.00001059629,0.000004856339,0.0005096806,0.022277616,0.0002307734,0.004500056,0.00023616968,0.00005419632],"about_ca_topic_score_codex":0.0014269686,"about_ca_topic_score_gemma":0.00048933865,"teacher_disagreement_score":0.02022973,"about_ca_system_score_codex":0.0014460782,"about_ca_system_score_gemma":0.000035749184,"threshold_uncertainty_score":0.52083766},"labels":[],"label_agreement":null},{"id":"W2027078416","doi":"10.1007/s11367-012-0505-9","title":"Using life cycle thinking to analyze environmental labeling: the case of appearance wood products","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; Université Laval","funders":"","keywords":"Certification; Certified wood; European union; Environmental economics; Product (mathematics); Life-cycle assessment; Standardization; Business; Ecological footprint; Quality (philosophy); Sustainable products; Carbon footprint; Product lifecycle; Environmental resource management; Sustainable development; Sustainability; Environmental science; Computer science; Marketing; Production (economics); New product development; Greenhouse gas; Economics; International trade","score_opus":0.02303218125751603,"score_gpt":0.3215375939709078,"score_spread":0.29850541271339176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027078416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993099,0.0002843492,0.0011274253,0.004357486,0.00045481318,0.00025244744,0.0000102150525,0.000005425015,0.0004088779],"genre_scores_gemma":[0.995155,0.000033202577,0.0032964179,0.0010820472,0.00038589814,0.0000040878217,0.0000010579438,0.000017370234,0.00002496394],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976555,0.00021088595,0.0006339966,0.00016249837,0.0010104618,0.00032664917],"domain_scores_gemma":[0.9987147,0.00011099205,0.00055720675,0.00033503035,0.000026705491,0.00025539743],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002116229,0.00017499448,0.00022228774,0.000053238153,0.00022743914,0.0000663597,0.0008897024,0.000038605616,0.0004030521],"category_scores_gemma":[0.00020440866,0.00010723278,0.00013431786,0.0001512941,0.00021286015,0.0005771105,0.00057894265,0.000305961,0.000022999813],"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":[0.00037701786,0.0023220137,0.60065275,0.000029266976,0.0007767555,0.00022882923,0.010776093,0.30737865,0.06386989,0.0006696459,0.00059364503,0.012325452],"study_design_scores_gemma":[0.0017587504,0.0003733224,0.94586074,0.00012625435,0.00028009215,0.0022242297,0.01759516,0.018029548,0.008492402,0.0022906414,0.002370486,0.000598352],"about_ca_topic_score_codex":0.0003121763,"about_ca_topic_score_gemma":0.00002049956,"teacher_disagreement_score":0.34520802,"about_ca_system_score_codex":0.0007765184,"about_ca_system_score_gemma":0.00006703946,"threshold_uncertainty_score":0.4413138},"labels":[],"label_agreement":null},{"id":"W2027471209","doi":"10.1007/s11053-014-9237-9","title":"Cost Analysis and Life-Cycle Environmental Impacts of Three Value-Added Novel Bioproducts: Processing and Production","year":2014,"lang":"en","type":"article","venue":"Natural Resources Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"Government of Canada; Australian Government","keywords":"Bioproducts; Life-cycle assessment; Environmental science; Production (economics); Bioenergy; Clean Development Mechanism; Environmental impact assessment; Paenibacillus polymyxa; Waste management; Climate change; Biofuel; Engineering; Ecology; Economics; Biology","score_opus":0.026020406318521146,"score_gpt":0.31432668813707276,"score_spread":0.2883062818185516,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027471209","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975492,0.00084821106,0.00005554889,0.00060028845,0.000020924706,0.0005100051,0.000008633367,0.000017812761,0.00038939607],"genre_scores_gemma":[0.9988215,0.00010409962,0.00066197437,0.00003566001,0.00006250874,0.000013697155,0.000010341328,0.000016963528,0.00027325517],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972562,0.00019314614,0.0002812914,0.0006711977,0.001035302,0.0005628391],"domain_scores_gemma":[0.99904054,0.00012747048,0.00010532982,0.00039655244,0.000014680555,0.0003154121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020002732,0.00019072407,0.000282917,0.00022107225,0.00040059604,0.000089063324,0.00022797959,0.00010642487,0.00017586513],"category_scores_gemma":[0.0010433543,0.00015264587,0.000059498394,0.0008812933,0.0017190408,0.00042732345,0.000581324,0.0004568049,0.00001119289],"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":[0.00018697418,0.00022813921,0.7444186,0.00009211093,0.00006979703,0.0000010778194,0.0021114629,0.0003894075,0.15648358,0.0000078365765,0.00004240209,0.09596863],"study_design_scores_gemma":[0.00035348386,0.00016157566,0.9785068,0.00001321401,0.00006280739,0.0000062372765,0.0009847204,0.009665176,0.008905931,0.00027327402,0.0008873895,0.00017940455],"about_ca_topic_score_codex":0.0010239792,"about_ca_topic_score_gemma":0.00026038344,"teacher_disagreement_score":0.2340882,"about_ca_system_score_codex":0.00028272238,"about_ca_system_score_gemma":0.000011118468,"threshold_uncertainty_score":0.63338774},"labels":[],"label_agreement":null},{"id":"W2027656870","doi":"10.1007/s11269-014-0618-y","title":"A Virtual Water Assessment Methodology for Cropping Pattern Investigation","year":2014,"lang":"en","type":"article","venue":"Water Resources Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Virtual water; Cropping; Environmental science; Water use; Current (fluid); Agricultural engineering; Crop; Hydrogeology; Arid; Water resource management; Water resources; Water scarcity; Agriculture; Geography; Agronomy; Engineering; Geology; Ecology","score_opus":0.025542800237618,"score_gpt":0.2711868657725346,"score_spread":0.24564406553491658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027656870","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8841191,0.0000014466774,0.1085129,0.0011767066,0.0000981136,0.000648851,0.0000015333179,0.000052953237,0.0053883996],"genre_scores_gemma":[0.9862931,0.0000013941491,0.007644614,0.0013559515,0.000059070742,0.00018765921,0.00004484579,0.00002501757,0.004388385],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99808204,0.00031751688,0.00028328339,0.0004650344,0.00028372023,0.0005684156],"domain_scores_gemma":[0.9994136,0.00004316494,0.000042629614,0.00037502227,0.0000036535953,0.000121910816],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001556953,0.00019985558,0.00018867393,0.0000525065,0.00023664706,0.00007533781,0.0002758855,0.00006040926,0.0010584971],"category_scores_gemma":[0.000010099665,0.00012484414,0.00008814681,0.00003781815,0.00021195854,0.00017106881,0.00066309934,0.00008953215,0.00027041647],"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":[0.00021864875,0.00057835993,0.32179987,0.0005678345,0.00034278014,0.000030549603,0.043272194,0.024667362,0.18518293,0.0011394607,0.0037491187,0.4184509],"study_design_scores_gemma":[0.0021724037,0.0009310808,0.31863394,0.000028044678,0.00016118863,0.0000056118593,0.0028401613,0.011469637,0.078126036,0.015798235,0.5689035,0.0009301535],"about_ca_topic_score_codex":0.00021913057,"about_ca_topic_score_gemma":0.000027612263,"teacher_disagreement_score":0.5651544,"about_ca_system_score_codex":0.00030221112,"about_ca_system_score_gemma":5.5421737e-7,"threshold_uncertainty_score":0.9998547},"labels":[],"label_agreement":null},{"id":"W2027895002","doi":"10.1016/s0007-8506(07)60017-1","title":"From Life Cycle Assessment to Sustainable Production: Status and Perspectives","year":2005,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":400,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Sustainability; Life-cycle assessment; Design for the Environment; Product (mathematics); Engineering; Product lifecycle; Legislation; Order (exchange); Environmental impact assessment; Sustainable design; Production (economics); Ecodesign; Product design; Business; Risk analysis (engineering); New product development; Manufacturing engineering; Marketing; Economics; Political science","score_opus":0.017743055973911293,"score_gpt":0.29782224285110254,"score_spread":0.28007918687719124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2027895002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9743044,0.00029508446,0.000088455716,0.012999223,0.00003568032,0.00037575382,0.000007176777,0.000040201154,0.011854049],"genre_scores_gemma":[0.9919483,0.000080015634,0.0012594629,0.0008633507,0.00019491899,0.000030972365,0.000003926755,0.000012690182,0.0056063333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857366,0.00006177658,0.00015214957,0.00046263367,0.0002523108,0.0004974541],"domain_scores_gemma":[0.999182,0.000022029413,0.000038766393,0.00031593646,0.000012825055,0.0004284441],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002864614,0.00014142219,0.00014304154,0.000028662762,0.00021826585,0.000074725234,0.00010680958,0.000042526408,0.0034858924],"category_scores_gemma":[0.0001752628,0.00013431591,0.000036151152,0.00014979707,0.00019718202,0.00055457675,0.00026288466,0.0001057845,0.00019643622],"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":[0.00018027266,0.0017196606,0.77687705,0.000046989677,0.00010107113,0.00003624255,0.057798583,0.020945277,0.0072817756,0.0013955265,0.051814288,0.08180327],"study_design_scores_gemma":[0.00015095957,0.00009679883,0.9043624,0.0000031775273,0.000007880717,0.000001208509,0.025670225,0.00013876443,0.0007812779,0.0020279957,0.06656125,0.00019808911],"about_ca_topic_score_codex":0.0009557131,"about_ca_topic_score_gemma":0.000054195243,"teacher_disagreement_score":0.12748532,"about_ca_system_score_codex":0.000470644,"about_ca_system_score_gemma":0.000024324088,"threshold_uncertainty_score":0.9974251},"labels":[],"label_agreement":null},{"id":"W2029058436","doi":"10.1007/s11367-013-0560-x","title":"Life cycle optimization of energy-intensive processes using eco-costs","year":2013,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Context (archaeology); Greenhouse gas; Life-cycle assessment; Total cost; Process (computing); Environmental economics; Environmental science; Operations management; Engineering; Waste management; Computer science; Production (economics); Business; Economics","score_opus":0.011756670583136914,"score_gpt":0.2820356946431708,"score_spread":0.2702790240600339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2029058436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97847396,0.00006308544,0.015730424,0.0033204625,0.0002603119,0.00013942661,0.0000057403827,0.0000063510156,0.0020002306],"genre_scores_gemma":[0.9938233,0.00009512329,0.0042853826,0.0015919164,0.00012902415,0.000005432079,0.000003706094,0.000013972867,0.00005215048],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99811083,0.000093651295,0.00059492886,0.00013263787,0.0008881139,0.00017982947],"domain_scores_gemma":[0.998502,0.000135745,0.0006800673,0.00016622743,0.00030552605,0.00021044275],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003788697,0.00013750579,0.00020494303,0.00005915547,0.00008057716,0.000078183955,0.000621942,0.000042945398,0.0021597436],"category_scores_gemma":[0.00055031164,0.000095487114,0.000103242106,0.00012823858,0.00019725609,0.00078026776,0.0002703739,0.00014200438,0.0000121695475],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008325964,0.00036769288,0.091173254,0.000012167578,0.00018517958,0.000008639812,0.00039959815,0.90078384,0.0030864254,0.00011067705,0.0012958536,0.0024933962],"study_design_scores_gemma":[0.0026056827,0.0005894884,0.5057573,0.00020048977,0.00016633209,0.00019141221,0.010182693,0.4646856,0.007704979,0.006366826,0.00093313627,0.0006161127],"about_ca_topic_score_codex":0.00084324,"about_ca_topic_score_gemma":0.000022357568,"teacher_disagreement_score":0.43609828,"about_ca_system_score_codex":0.00077069533,"about_ca_system_score_gemma":0.00020680482,"threshold_uncertainty_score":0.9987524},"labels":[],"label_agreement":null},{"id":"W2030515486","doi":"10.1016/j.ecolind.2012.06.023","title":"Approaches for calculating a nation's food ecological footprint—The case of Canada","year":2012,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":39,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Per capita; Sustainability; Food security; Hectare; Food systems; Agriculture; Footprint; Natural resource economics; Environmental resource management; Agricultural economics; Sustainable development; Sustainable agriculture; Resource (disambiguation); Geography; Economics; Ecology","score_opus":0.03752584753389601,"score_gpt":0.242166814370585,"score_spread":0.20464096683668898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2030515486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948782,0.000020422387,0.00013511245,0.00048641828,0.00009812318,0.00063448446,0.000014644625,0.000015536503,0.003717096],"genre_scores_gemma":[0.99876636,5.853975e-7,0.0007437814,0.00019211345,0.00004320964,0.00014407292,0.000004128428,0.0000073580336,0.00009835901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986562,0.0001308951,0.0002861122,0.00021779884,0.00017493765,0.00053406146],"domain_scores_gemma":[0.998879,0.0005454975,0.00015299271,0.00019398384,0.0000032715946,0.00022523223],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00086447666,0.00013964616,0.00018181861,0.000019068537,0.00036620142,0.00000958166,0.00021974865,0.00012931695,0.0011117626],"category_scores_gemma":[0.00069156,0.00008562492,0.00009154595,0.00019922765,0.00043421576,0.00007818333,0.00026434302,0.00016154723,0.0000054068046],"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":[0.000019774434,0.0008229857,0.98275256,0.000020027317,0.00003437133,0.000022842052,0.0005785464,0.0009600817,0.000054574106,0.0055101314,0.0008254148,0.008398669],"study_design_scores_gemma":[0.00021606189,0.00026979778,0.99184924,8.361857e-7,0.000019657471,0.000058928545,0.0018460097,0.00050504575,0.0006557936,0.0011742822,0.0032458182,0.00015850482],"about_ca_topic_score_codex":0.006915091,"about_ca_topic_score_gemma":0.0524429,"teacher_disagreement_score":0.045527812,"about_ca_system_score_codex":0.00071393873,"about_ca_system_score_gemma":0.000038834252,"threshold_uncertainty_score":0.99980134},"labels":[],"label_agreement":null},{"id":"W2031563724","doi":"10.1007/s11367-014-0703-8","title":"Global guidance on environmental life cycle impact assessment indicators: findings of the scoping phase","year":2014,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Art; Art history; Psychology","score_opus":0.008965494095695917,"score_gpt":0.3384946955946104,"score_spread":0.32952920149891446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031563724","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99166924,0.000036345158,0.0012224179,0.0026478244,0.00047885434,0.00030445156,0.00004113862,0.0000074601653,0.0035922618],"genre_scores_gemma":[0.9978706,0.0000332677,0.0005444386,0.0012965365,0.00019662637,0.000006812151,0.000003858447,0.000016336859,0.000031520107],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99623054,0.00033629034,0.00087204395,0.00024315003,0.0019921388,0.0003258476],"domain_scores_gemma":[0.99810344,0.00022026007,0.00092679117,0.00045219754,0.000017247445,0.00028008447],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016803902,0.00025515744,0.00032747877,0.000061020743,0.00018908644,0.00009104771,0.0016078866,0.000067245935,0.0014269837],"category_scores_gemma":[0.00022779783,0.0001506414,0.00036308813,0.00017777865,0.00046471524,0.00039592283,0.00062526367,0.00035513856,0.000022845144],"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":[0.00021112856,0.0014572627,0.9435583,0.000010590281,0.00024633796,0.000006814728,0.00023728245,0.04390773,0.0023135247,0.00040770142,0.0008795863,0.0067637917],"study_design_scores_gemma":[0.001841642,0.00056348986,0.9904067,0.000142869,0.000042799147,0.000025615282,0.00033796026,0.004186061,0.0007091718,0.0012154598,0.000362378,0.00016585634],"about_ca_topic_score_codex":0.00012321443,"about_ca_topic_score_gemma":0.0000127001285,"teacher_disagreement_score":0.04684845,"about_ca_system_score_codex":0.0024985569,"about_ca_system_score_gemma":0.00019939619,"threshold_uncertainty_score":0.99948585},"labels":[],"label_agreement":null},{"id":"W2031827346","doi":"10.1177/0270467609342703","title":"Scale, Composition, and Technology","year":2009,"lang":"en","type":"article","venue":"Bulletin of Science Technology & Society","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"York University","funders":"","keywords":"Scale (ratio); Composition (language); Goods and services; Unit (ring theory); Gross domestic product; Product (mathematics); Economics; Environmental science; Environmental economics; Economy; Geography; Economic growth; Mathematics","score_opus":0.00287836807340458,"score_gpt":0.21638896598023874,"score_spread":0.21351059790683416,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2031827346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9656469,0.0000967885,0.000096515614,0.030251522,0.000020504503,0.00018949872,0.0000017098929,0.00015181054,0.003544719],"genre_scores_gemma":[0.98436105,0.00008044493,0.014768756,0.00053324597,0.0000042067436,0.000006517747,4.970855e-7,0.0000043361997,0.00024096631],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985833,0.000009809117,0.00021596752,0.000457026,0.0003003163,0.00043355377],"domain_scores_gemma":[0.9993889,0.000013665099,0.000094183175,0.00039399974,0.000022674232,0.00008662039],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005209673,0.00013708447,0.00018682027,0.00012431516,0.00044576448,0.000014104466,0.0005594635,0.00021080421,0.00044153156],"category_scores_gemma":[0.00005170778,0.000112004825,0.00004831419,0.0017180517,0.01626488,0.00009047214,0.00043886746,0.00022583727,0.0000592437],"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":[0.000010075204,0.0004477522,0.35632643,0.000011245139,0.0000066387715,0.0000040795885,0.0008782341,0.00002360232,0.57857937,0.0022672922,0.008025054,0.053420205],"study_design_scores_gemma":[0.0011020465,0.0010560477,0.4979057,0.00004097772,0.000038342714,0.00017909362,0.013987187,0.00022066748,0.38770068,0.050581366,0.04643436,0.0007535411],"about_ca_topic_score_codex":0.000025585197,"about_ca_topic_score_gemma":0.0000013732756,"teacher_disagreement_score":0.19087872,"about_ca_system_score_codex":0.00022163423,"about_ca_system_score_gemma":0.000019058305,"threshold_uncertainty_score":0.9864123},"labels":[],"label_agreement":null},{"id":"W2032942279","doi":"10.1002/bbb.233","title":"A conceptual framework for siting biorefineries in the Canadian Prairies","year":2010,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ranking (information retrieval); Incentive; Government (linguistics); Consumption (sociology); Production (economics); Competition (biology); Business; Economics; Natural resource economics; Environmental economics; Computer science; Ecology","score_opus":0.018425970464356296,"score_gpt":0.2582098903209502,"score_spread":0.23978391985659392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2032942279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99130034,0.00008842416,0.000014716806,0.006844881,0.00018027036,0.0003358501,0.000030454361,0.000018539862,0.0011865003],"genre_scores_gemma":[0.9849545,0.0000063068383,0.013901142,0.00085880223,0.00013790905,0.000035695593,0.000012823461,0.000011773557,0.00008109508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987509,0.000030700303,0.00018900789,0.00038878553,0.00015695619,0.00048362836],"domain_scores_gemma":[0.9994532,0.00007380516,0.000058706366,0.0002760476,0.000007327253,0.00013092686],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007403352,0.0001712432,0.00014384754,0.000044002372,0.000507665,0.0001352804,0.00021032097,0.00014983179,0.000109257766],"category_scores_gemma":[0.0005526944,0.00011191922,0.000033371627,0.00023391067,0.0013161049,0.00019067066,0.00009044327,0.0002956431,0.000013456345],"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":[0.000032126674,0.00006756044,0.87332284,0.000020833166,0.000005273331,0.000010962217,0.008774582,0.0000020934951,0.021423561,0.05734967,0.00025417766,0.038736343],"study_design_scores_gemma":[0.00034164693,0.00021985336,0.86191154,0.000018874887,0.00001470489,0.000028655684,0.0072814627,0.00002975901,0.0050884252,0.017548786,0.107053466,0.00046282326],"about_ca_topic_score_codex":0.036547754,"about_ca_topic_score_gemma":0.20655127,"teacher_disagreement_score":0.17000352,"about_ca_system_score_codex":0.00007152498,"about_ca_system_score_gemma":0.00003668068,"threshold_uncertainty_score":0.96986794},"labels":[],"label_agreement":null},{"id":"W2033867243","doi":"10.1027/0838-1925.15.5.229","title":"The Environmental Exposure Unit (EEU)","year":2003,"lang":"en","type":"article","venue":"Allergy & Clinical Immunology International - Journal of the World Allergy Organization","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Psychology; Mathematics education","score_opus":0.009972725831580794,"score_gpt":0.2676810131149027,"score_spread":0.2577082872833219,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033867243","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9847969,0.00041410458,0.000349988,0.0070448034,0.003915332,0.00016103906,0.000003482702,0.000017683255,0.0032966996],"genre_scores_gemma":[0.9876155,0.0013769254,0.00022219539,0.001075675,0.00017299598,0.000002325599,0.0000081903,0.000031714277,0.009494482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99690586,0.0007869756,0.0010932733,0.0002496939,0.0006490614,0.0003151278],"domain_scores_gemma":[0.9980893,0.0004516,0.00081533566,0.00046887097,0.00006512909,0.00010973559],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011199176,0.00021999222,0.00023680831,0.00005239655,0.0004799992,0.00007603496,0.0015533104,0.00014933075,0.005559135],"category_scores_gemma":[0.0012188562,0.00013594408,0.00025466873,0.0003114644,0.0010735194,0.0003553441,0.00053831644,0.0006547252,0.00021632662],"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":[0.00034218235,0.0014378068,0.9555553,0.0000010534412,0.002520319,0.00004774121,0.0005151121,0.0050751437,0.006031597,0.008925434,0.010312591,0.009235714],"study_design_scores_gemma":[0.0009806589,0.00014521314,0.6757117,0.000009470018,0.000024984816,0.00012668892,0.00030492852,0.000019548128,0.0018064707,0.0021326505,0.31857952,0.00015818843],"about_ca_topic_score_codex":0.00002074246,"about_ca_topic_score_gemma":0.00029697517,"teacher_disagreement_score":0.30826694,"about_ca_system_score_codex":0.00044370483,"about_ca_system_score_gemma":0.00005762187,"threshold_uncertainty_score":0.99534994},"labels":[],"label_agreement":null},{"id":"W2033999006","doi":"10.1177/0020715205058609","title":"Unpacking the Ecological Footprint of Nations","year":2005,"lang":"en","type":"article","venue":"International Journal of Comparative Sociology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Ecological footprint; Economics; Geography; Human capital; Natural resource economics; Population; Inequality; Consumption (sociology); Economic growth; Ecology; Sustainability; Sociology","score_opus":0.03340276726611371,"score_gpt":0.3540255134016014,"score_spread":0.3206227461354877,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2033999006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98358375,0.00005117894,0.0009294958,0.004422738,0.00017431627,0.00006286823,0.0000021612339,0.000002391901,0.0107711265],"genre_scores_gemma":[0.99862343,0.000018905155,0.00087142806,0.00025094705,0.00011812857,0.000001954793,8.384498e-7,0.0000019905556,0.00011239939],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990484,0.00017603635,0.000348372,0.00006828743,0.0002578515,0.00010105226],"domain_scores_gemma":[0.9991555,0.00036198332,0.00032104464,0.00006643203,0.000058677568,0.000036329562],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044414948,0.00006550088,0.00015316225,0.000037402933,0.00006498622,0.0000068977524,0.00042087087,0.00004357349,0.0013614255],"category_scores_gemma":[0.00011303399,0.000040357343,0.00011414519,0.000045545454,0.00087760156,0.000107910324,0.00014207221,0.00019636945,0.000033578755],"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":[0.00029436997,0.001433625,0.81673,0.0000028929774,0.00048025095,0.000015628939,0.02961381,0.064683095,0.01777259,0.054689735,0.0026048138,0.011679158],"study_design_scores_gemma":[0.0004759527,0.00023958116,0.95575047,0.0000044925096,0.000013955383,0.000058166683,0.0027286485,0.00043128716,0.003689303,0.015242133,0.021293132,0.000072902236],"about_ca_topic_score_codex":0.000009176814,"about_ca_topic_score_gemma":0.000037114864,"teacher_disagreement_score":0.13902041,"about_ca_system_score_codex":0.00035763675,"about_ca_system_score_gemma":0.00001938305,"threshold_uncertainty_score":0.9995515},"labels":[],"label_agreement":null},{"id":"W2035688968","doi":"10.1080/10807039.2013.791152","title":"Introduction to the Special Section on “Modeling Sustainable Risk Management”","year":2013,"lang":"en","type":"article","venue":"Human and Ecological Risk Assessment An International Journal","topic":"Environmental Impact and Sustainability","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":"European Commission","keywords":"Section (typography); Risk management; Risk analysis (engineering); Sustainability; Special section; Business; Environmental resource management; Environmental planning; Engineering; Environmental science","score_opus":0.01011510460564398,"score_gpt":0.2837121287699105,"score_spread":0.2735970241642665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2035688968","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9706942,0.0000014378113,0.0015980108,0.0026573576,0.00075969636,0.0003757605,0.000002404977,0.000018970763,0.023892162],"genre_scores_gemma":[0.9900073,0.00013795159,0.0010125184,0.00036557982,0.0058380957,0.000038396265,0.000009142234,0.000007882316,0.0025831535],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843514,0.0002238389,0.00025110546,0.0003128856,0.00046660594,0.0003104028],"domain_scores_gemma":[0.99947083,0.000025873065,0.00012692586,0.00015416727,0.000031571304,0.0001906192],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009411462,0.00013968332,0.00009751278,0.0000661336,0.0010660765,0.0005353952,0.00031927595,0.00005578804,0.013732064],"category_scores_gemma":[0.00006459708,0.00009053612,0.0000600671,0.00007344958,0.00008881234,0.000817508,0.0002830872,0.0004915095,0.00026593896],"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":[0.00016151683,0.0014294023,0.72254294,0.0000046297914,0.00015087536,0.000052975447,0.0009266165,0.15530609,0.00017370509,0.0087561915,0.062370103,0.048124984],"study_design_scores_gemma":[0.00035575434,0.000591405,0.9327469,0.000001910165,0.000020618118,0.000020114669,0.002959163,0.006245117,0.0000036329338,0.022034101,0.034882482,0.00013882619],"about_ca_topic_score_codex":0.0002684522,"about_ca_topic_score_gemma":0.00012222094,"teacher_disagreement_score":0.21020396,"about_ca_system_score_codex":0.00093291595,"about_ca_system_score_gemma":0.0000044572553,"threshold_uncertainty_score":0.9871695},"labels":[],"label_agreement":null},{"id":"W2036208050","doi":"10.1007/s11367-011-0358-7","title":"Environmental footprints of British Columbia wood pellets from a simplified life cycle analysis","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Pellets; Tonne; Environmental science; Life-cycle assessment; Raw material; Renewable energy; Carbon footprint; Pellet; Waste management; Greenhouse gas; Bioenergy; Environmental engineering; Biomass (ecology); Energy source; Engineering; Pulp and paper industry; Production (economics); Biofuel; Coal; Agronomy; Ecology; Materials science","score_opus":0.013012416123916112,"score_gpt":0.2527244340400951,"score_spread":0.23971201791617897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036208050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951046,0.000054708347,0.0008323621,0.00027955134,0.0002258656,0.00015900037,0.00012183433,0.000007619122,0.0032144387],"genre_scores_gemma":[0.99765456,0.00009228455,0.0014831037,0.00045625135,0.00009780917,0.000005767587,0.00001175162,0.000016990594,0.00018147871],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971501,0.00017328089,0.00087129395,0.00025320702,0.0012985991,0.0002535253],"domain_scores_gemma":[0.9984044,0.00013563804,0.00078340375,0.00035041568,0.00002976784,0.00029640214],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007103214,0.00014819863,0.00038753467,0.00005546978,0.000091846916,0.00010141724,0.0011570295,0.0000687776,0.014223929],"category_scores_gemma":[0.000095313255,0.00015861733,0.00036070478,0.00018239125,0.0003543179,0.00034283867,0.00056648714,0.0002732316,0.000038131435],"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":[0.00013473774,0.0013363133,0.97943753,0.0000027831172,0.0017408422,0.000065685104,0.00088525465,0.0037019842,0.002199708,0.000008636679,0.00093387376,0.009552647],"study_design_scores_gemma":[0.00083625776,0.00013954565,0.9930371,0.000011765256,0.00028390536,0.000018680732,0.0018301648,0.0012473472,0.00021603295,0.001921915,0.0003004374,0.00015684024],"about_ca_topic_score_codex":0.020060157,"about_ca_topic_score_gemma":0.0033113344,"teacher_disagreement_score":0.016748821,"about_ca_system_score_codex":0.00058813184,"about_ca_system_score_gemma":0.000069654256,"threshold_uncertainty_score":0.9866772},"labels":[],"label_agreement":null},{"id":"W2036959197","doi":"10.1016/j.ecolecon.2008.03.001","title":"Industrial output restriction and the Kyoto protocol: An input–output approach with application to Canada","year":2008,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Kyoto Protocol; Greenhouse gas; Flexibility (engineering); Economics; Gross domestic product; Natural resource economics; Final demand; Environmental economics; Environmental science; Economy; Production (economics); Microeconomics; Macroeconomics; Ecology","score_opus":0.02009559283111716,"score_gpt":0.20835897948760934,"score_spread":0.18826338665649217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2036959197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97536933,3.791301e-7,0.00030739786,0.0006541748,0.000019900977,0.018853685,0.00000506364,0.000019191324,0.0047708787],"genre_scores_gemma":[0.9846083,0.0000027934611,0.0005635522,0.0008896295,0.000057529985,0.013606502,0.0000077689565,0.000008156208,0.00025574834],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989891,0.0000944132,0.00021071074,0.00037037506,0.000092784685,0.00024262475],"domain_scores_gemma":[0.9993861,0.000057284673,0.00008358481,0.00026406528,0.0000031739487,0.00020580817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031551745,0.00013604127,0.00016937539,0.00001159289,0.0003005061,0.000028520819,0.000193696,0.00010109727,0.000067928486],"category_scores_gemma":[0.000052509105,0.0000846502,0.00001929206,0.00008935084,0.00040174133,0.0001465058,0.00016926123,0.00017434178,0.000013316051],"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":[0.0012702994,0.0005334498,0.924936,0.00000631735,0.000016061695,0.0000067250626,0.0005931056,0.053139865,0.000011811548,0.00071494473,0.0019468354,0.016824607],"study_design_scores_gemma":[0.0016833579,0.00043521228,0.9594615,5.197634e-7,0.000006711745,0.000020953596,0.0003736785,0.0052413037,0.000026287606,0.00043646162,0.032108314,0.00020568575],"about_ca_topic_score_codex":0.06359664,"about_ca_topic_score_gemma":0.07553762,"teacher_disagreement_score":0.04789856,"about_ca_system_score_codex":0.0008889986,"about_ca_system_score_gemma":0.00007153348,"threshold_uncertainty_score":0.94263893},"labels":[],"label_agreement":null},{"id":"W2037198302","doi":"10.5539/ibr.v2n4p129","title":"Decomposition of Malaysian Production Structure Input-Output Approach","year":2009,"lang":"en","type":"article","venue":"International Business Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Decomposition; Production (economics); Structural change; Table (database); Econometrics; Final demand; Economics; Computer science; Mathematics; Macroeconomics; Data mining","score_opus":0.026657895473968712,"score_gpt":0.34538912150174683,"score_spread":0.31873122602777815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2037198302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97724605,0.000009564884,0.0007203741,0.0021846665,0.00011814985,0.0002563705,0.000008991884,0.000014925246,0.01944092],"genre_scores_gemma":[0.9971009,0.000011748647,0.0015947325,0.00004311025,0.00010667882,0.000006740453,0.0000622121,0.0000066268053,0.0010672722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826294,0.00008869674,0.00019014424,0.00029419054,0.00093199126,0.00023203022],"domain_scores_gemma":[0.99953693,0.000019372144,0.000050981555,0.0002331107,0.00009806239,0.000061547005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041242488,0.00009119064,0.00009559852,0.0001239363,0.00009937543,0.00003677882,0.00028256752,0.00006384962,0.0009931969],"category_scores_gemma":[0.00017518071,0.00008075753,0.000032377127,0.0005100178,0.00028625134,0.0004288687,0.00015063696,0.00019847655,0.000042975884],"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":[0.00049427984,0.001802965,0.54099965,0.00006946786,0.000041274354,0.000021799215,0.0011919517,0.036922608,0.34866434,0.000764909,0.0046886127,0.064338125],"study_design_scores_gemma":[0.00014869835,0.000047389876,0.9831207,0.000009183557,0.0000021616888,0.000022188635,0.000117073774,0.00071608,0.010386679,0.0043222005,0.0010252872,0.00008237035],"about_ca_topic_score_codex":0.00018481877,"about_ca_topic_score_gemma":0.000008721663,"teacher_disagreement_score":0.44212103,"about_ca_system_score_codex":0.0004697078,"about_ca_system_score_gemma":0.00001580384,"threshold_uncertainty_score":0.99992},"labels":[],"label_agreement":null},{"id":"W203761123","doi":"","title":"Développement d'une méthode d'analyse du cycle de vie conséquentielle prospective macroscopique : évaluation d'une politique de bioénergie dans l'union européenne à l'horizon 2025","year":2012,"lang":"fr","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"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":"Hydro-Québec","keywords":"Political science; Humanities; Philosophy","score_opus":0.015147778568540252,"score_gpt":0.2629152704336123,"score_spread":0.24776749186507205,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W203761123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5703731,0.0023209902,0.4028838,0.018985197,0.00032434968,0.0017817266,0.00013288253,0.00027240717,0.0029255033],"genre_scores_gemma":[0.90132886,0.0039032733,0.08788579,0.0015067771,0.0003940889,0.00078494014,0.00009971183,0.00016809575,0.0039284504],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991343,0.0022284642,0.0011743086,0.0010938854,0.00088828144,0.00327202],"domain_scores_gemma":[0.99611694,0.00023435113,0.0005696216,0.0013873259,0.00007455704,0.0016171972],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0052981437,0.0010133763,0.0008061375,0.0003234573,0.0009529847,0.00027251977,0.0008416272,0.00082904863,0.0013730515],"category_scores_gemma":[0.000500828,0.0011322518,0.0004596209,0.0014048147,0.0011011626,0.0014696338,0.00091362535,0.0010845063,0.0002424735],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015190165,0.002124345,0.79584515,0.0001411689,0.00013907821,0.000078679426,0.0048816837,0.009812672,0.16003832,0.009655966,0.0020136922,0.015117337],"study_design_scores_gemma":[0.0009831948,0.0005326087,0.7307762,0.0001258986,0.00029223613,0.000199575,0.0028713166,0.027035203,0.21736935,0.01634226,0.0024601477,0.0010120405],"about_ca_topic_score_codex":0.18496196,"about_ca_topic_score_gemma":0.022683771,"teacher_disagreement_score":0.3309557,"about_ca_system_score_codex":0.016136937,"about_ca_system_score_gemma":0.0006082804,"threshold_uncertainty_score":0.99953985},"labels":[],"label_agreement":null},{"id":"W2038155353","doi":"10.1162/jie.2007.1220","title":"A Spatial Analysis of Residential Greenhouse Gas Emissions in the Toronto Census Metropolitan Area","year":2007,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":205,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Metropolitan area; Greenhouse gas; Census; Environmental science; Geography; Environmental engineering; Environmental protection; Population","score_opus":0.025905324952478482,"score_gpt":0.29207220702877534,"score_spread":0.26616688207629685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038155353","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970326,0.000025812384,0.00019072191,0.00044712352,0.00022538507,0.00015151562,0.000008136244,0.0000023226946,0.0019163822],"genre_scores_gemma":[0.9995579,0.000021502896,0.00010210291,0.00008724307,0.0001585928,9.690654e-7,0.00000249284,0.0000060397324,0.000063165324],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978417,0.0003494324,0.00087157334,0.00013717783,0.00044183712,0.00035826047],"domain_scores_gemma":[0.998641,0.0004201678,0.00053633377,0.0002331067,0.000015614656,0.00015376938],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027481206,0.000121701356,0.00043174464,0.00016799694,0.00007691937,0.000011267469,0.0004044032,0.00022221504,0.0028867926],"category_scores_gemma":[0.0007995172,0.00008175309,0.00026651658,0.00055153127,0.00030190378,0.00019328123,0.00011809992,0.0003916212,0.0000021770584],"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":[0.00060725637,0.0005521624,0.9870569,0.0000011409421,0.00018243174,0.0001265439,0.0008035118,0.00083545333,0.0011756157,0.000030029314,0.0017964139,0.0068325195],"study_design_scores_gemma":[0.0012844932,0.00091831,0.9865222,0.0000045667252,0.0004570618,0.000037324917,0.0082102325,0.000113351576,0.0005448862,0.00022512028,0.0015803511,0.00010212063],"about_ca_topic_score_codex":0.019151337,"about_ca_topic_score_gemma":0.09896249,"teacher_disagreement_score":0.079811156,"about_ca_system_score_codex":0.0022207855,"about_ca_system_score_gemma":0.000052002353,"threshold_uncertainty_score":0.9980247},"labels":[],"label_agreement":null},{"id":"W2038940327","doi":"10.2139/ssrn.2352935","title":"A MPEC Estimator for Misclassification Models","year":2013,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Estimator; Statistics; Mathematics; Econometrics; Computer science","score_opus":0.008840059441553515,"score_gpt":0.22683323898755384,"score_spread":0.2179931795460003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2038940327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87484795,0.00014926762,0.116793394,0.001990898,0.000060798502,0.0006315149,0.0000018021711,0.000031189113,0.0054931617],"genre_scores_gemma":[0.9940217,0.00013466498,0.0016141991,0.00009554041,0.000049851253,0.00006884626,0.0000032888881,0.000017545759,0.0039943303],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99785143,0.000035051235,0.00020211714,0.00019187541,0.00020101666,0.0015184921],"domain_scores_gemma":[0.9995648,0.00002831027,0.00008920107,0.00017538076,0.000009768855,0.00013248705],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067698315,0.00012261991,0.00010516149,0.000021334301,0.00026123,0.00005915284,0.00022112486,0.000057520705,0.00065055274],"category_scores_gemma":[0.000044777058,0.00010160264,0.00009414711,0.00007260267,0.00010239911,0.0006890382,0.000044646225,0.00044611775,0.00027948397],"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":[0.0002970072,0.0017224137,0.15172504,0.00005686273,0.0003017237,0.0000027037047,0.0021632067,0.02314263,0.053089045,0.2942129,0.013795866,0.4594906],"study_design_scores_gemma":[0.00052086427,0.0002566986,0.023227226,0.0000028540599,0.000018538973,0.00008051548,0.0017909785,0.026316559,0.00027368678,0.94590914,0.0013986579,0.00020428217],"about_ca_topic_score_codex":0.00021755145,"about_ca_topic_score_gemma":0.00015630998,"teacher_disagreement_score":0.6516962,"about_ca_system_score_codex":0.0023092378,"about_ca_system_score_gemma":0.00013502636,"threshold_uncertainty_score":0.71230966},"labels":[],"label_agreement":null},{"id":"W2039117350","doi":"10.1111/j.1744-7976.2003.tb00166.x","title":"Impact of Environmental Policies in the Hog‐Pork Sector on Trade and Market Welfare in North America","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Agricultural Economics/Revue canadienne d agroeconomie","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Université Laval","keywords":"Welfare; Free trade; Liberalization; Economics; Payment; Agriculture; International economics; International trade; Government (linguistics); Business; Market economy; Ecology; Biology","score_opus":0.00833560985282305,"score_gpt":0.163539918338602,"score_spread":0.15520430848577893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2039117350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959738,0.000082386665,8.61607e-8,0.001141744,0.00008692018,0.00026799343,0.00019510246,0.000001044852,0.0022509112],"genre_scores_gemma":[0.999589,0.00006819024,0.000022457276,0.00020120398,0.000036898597,0.0000056902163,0.000010163462,0.000011619127,0.00005473886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832314,0.00013112422,0.000629538,0.00025378898,0.000024496336,0.00063791],"domain_scores_gemma":[0.9986836,0.00008595025,0.00034464177,0.0002056439,0.000002309307,0.0006778913],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032838646,0.0002669255,0.00043163827,0.00016297484,0.00010901703,0.00004621984,0.00035612364,0.00008152999,0.0015836514],"category_scores_gemma":[0.000053355896,0.00018624005,0.00018606633,0.00016117367,0.00035988298,0.00037249844,0.000018470606,0.0003114889,0.000006376474],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034560162,0.00005918581,0.9852595,0.000007016992,0.000028884902,0.000047793455,0.004078193,0.008649202,0.000037013626,0.00016177694,0.00036023965,0.001276654],"study_design_scores_gemma":[0.00047753987,0.00051743584,0.98864484,0.000008705112,0.000011405259,0.0002082188,0.007204857,0.000021751657,0.000010647665,0.00013099462,0.0025386019,0.00022499516],"about_ca_topic_score_codex":0.063640326,"about_ca_topic_score_gemma":0.80119485,"teacher_disagreement_score":0.73755455,"about_ca_system_score_codex":0.004695788,"about_ca_system_score_gemma":0.00009261598,"threshold_uncertainty_score":0.99932903},"labels":[],"label_agreement":null},{"id":"W2040267049","doi":"10.1016/j.envsci.2009.12.005","title":"Meta-analysis of greenhouse gas displacement factors of wood product substitution","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":525,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations","funders":"Natural Resources Canada; Mittuniversitetet; FPInnovations; European Commission; Government of Canada","keywords":"Greenhouse gas; Environmental science; Biomass (ecology); Displacement (psychology); Range (aeronautics); Pulp and paper industry; Materials science; Engineering; Agronomy; Composite material; Ecology","score_opus":0.0240427155716962,"score_gpt":0.2811777937370524,"score_spread":0.2571350781653562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040267049","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973841,0.000034276694,0.000047118865,0.00016478446,0.00006241122,0.00044792166,0.000109960005,0.000018317349,0.0017311329],"genre_scores_gemma":[0.99896896,0.000022114737,0.00046905762,0.00004968784,0.000019507217,0.00002012438,0.000021416196,0.000014357028,0.0004147483],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9965648,0.0000728574,0.00059541734,0.0007430997,0.0013839188,0.0006399064],"domain_scores_gemma":[0.9981816,0.000045735775,0.00037033527,0.001048366,0.00000457224,0.00034939815],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001011813,0.000322904,0.0006893989,0.00036387652,0.00027217923,0.000024778468,0.00081736443,0.00007117079,0.007602312],"category_scores_gemma":[0.00012015117,0.00024769452,0.0006659916,0.0018803689,0.005290598,0.00080231676,0.0006176097,0.0002204794,0.00005932922],"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":[0.000016204853,0.00080034486,0.345256,0.000006134579,0.0017316096,0.0000010618363,0.0013390265,0.001835349,0.6480582,0.00034535964,0.000008966879,0.00060176617],"study_design_scores_gemma":[0.00015243325,0.00014519715,0.7004301,4.994569e-7,0.0085687,0.0000019254476,0.00035212538,0.0002193815,0.28927177,0.00017680785,0.0004253192,0.00025574028],"about_ca_topic_score_codex":0.0032633275,"about_ca_topic_score_gemma":0.00040331966,"teacher_disagreement_score":0.3587864,"about_ca_system_score_codex":0.00060949364,"about_ca_system_score_gemma":0.00005186145,"threshold_uncertainty_score":0.99999756},"labels":[],"label_agreement":null},{"id":"W2040575221","doi":"10.1065/lca2005.12.242","title":"LUCAS - A New LCIA Method Used for a Canadian-Specific Context","year":2006,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Électricité de France; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Context (archaeology); Environmental science; Environmental resource management; Vulnerability (computing); Work (physics); Computer science; Environmental planning; Risk analysis (engineering); Engineering; Business; Geography","score_opus":0.01832005483895405,"score_gpt":0.3231081534453897,"score_spread":0.30478809860643563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040575221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.938006,0.00013272745,0.03859586,0.017069284,0.0006546006,0.00036173363,0.000023628769,0.000007722115,0.0051484774],"genre_scores_gemma":[0.9848952,0.000013777606,0.012503021,0.0012869787,0.00043872517,0.000007382659,0.0000051574025,0.000013210093,0.0008364885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845463,0.00008173528,0.0004451111,0.00013218698,0.0006409577,0.0002453655],"domain_scores_gemma":[0.99906033,0.00021229462,0.00027955437,0.00015709175,0.000037162055,0.00025359157],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00093501335,0.0001225046,0.00016930998,0.00005815284,0.00011956463,0.00011062698,0.00064695376,0.0000401855,0.0015742574],"category_scores_gemma":[0.00004969584,0.00008674851,0.00016988667,0.0000683677,0.000084877705,0.00027461315,0.000088328154,0.000160635,0.000028361092],"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":[0.0006213247,0.0010673547,0.5271806,0.0000109726725,0.00058930775,0.00016578814,0.0022130853,0.059902143,0.015424844,0.015089191,0.28290066,0.09483473],"study_design_scores_gemma":[0.0021101595,0.00020195176,0.70386857,0.000016590157,0.000037703823,0.00009989998,0.0013507581,0.002920677,0.00089384615,0.022333322,0.26593778,0.00022873607],"about_ca_topic_score_codex":0.04264668,"about_ca_topic_score_gemma":0.02033066,"teacher_disagreement_score":0.17668799,"about_ca_system_score_codex":0.0017369614,"about_ca_system_score_gemma":0.00027036312,"threshold_uncertainty_score":0.99933845},"labels":[],"label_agreement":null},{"id":"W2041771186","doi":"10.1109/naps.2011.6024860","title":"Environmental Cost of Transformer Losses for Industrial and Commercial Users of Transformers","year":2011,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Transformer; Distribution transformer; Greenhouse gas; Purchasing; Environmental economics; Greenhouse; Environmental science; Automotive engineering; Electrical engineering; Engineering; Economics; Operations management; Voltage","score_opus":0.045824931399367816,"score_gpt":0.24137783085447373,"score_spread":0.1955528994551059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2041771186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888714,0.000011165351,0.0012427924,0.000037338657,0.00003562682,0.0008241729,0.00010054695,0.000006445598,0.00887054],"genre_scores_gemma":[0.9990101,0.00004205418,0.00072343,0.000045671786,0.000007710421,0.000022736409,0.000007999144,0.000011733176,0.00012859951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990415,0.000025263913,0.00032116633,0.00018757631,0.00017958503,0.00024491487],"domain_scores_gemma":[0.99965405,0.00004636151,0.00006889436,0.000113068396,0.0000013887947,0.00011622595],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002065443,0.0001430364,0.00022950271,0.000025710087,0.00005647994,0.0000027589829,0.00011291269,0.00010440196,0.003943942],"category_scores_gemma":[0.000010641145,0.00012213894,0.00010381932,0.000057139325,0.000977778,0.0002652409,0.00002438972,0.000071293696,0.0000040713708],"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":[0.0006916245,0.0005762277,0.87285066,0.000039555198,0.00003731748,5.8576614e-7,0.0037080855,0.00000963482,0.025562162,0.0001034146,0.00018885797,0.09623188],"study_design_scores_gemma":[0.002614839,0.00093914376,0.7387236,0.000007302075,0.00008213605,0.0000034679917,0.0044435854,0.000045131277,0.2502554,0.0003768519,0.0022450674,0.00026349488],"about_ca_topic_score_codex":0.000617346,"about_ca_topic_score_gemma":0.00013129422,"teacher_disagreement_score":0.22469324,"about_ca_system_score_codex":0.00008715443,"about_ca_system_score_gemma":0.000007786974,"threshold_uncertainty_score":0.9969666},"labels":[],"label_agreement":null},{"id":"W2042330842","doi":"10.1353/cpp.2012.0003","title":"Energy Use and GHG Emissions in the Quebec Pulp and Paper Industry, 1990–2006","year":2012,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Pulp (tooth); Environmental science; Fossil fuel; Electricity; Waste management; Natural resource economics; Pulp and paper industry; Agricultural economics; Environmental engineering; Economics; Engineering","score_opus":0.016329655791391173,"score_gpt":0.23474779235575646,"score_spread":0.2184181365643653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042330842","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97207177,0.00011442906,0.0000011326754,0.017334938,0.000019034305,0.00010230723,0.000027922311,0.0000065936006,0.010321855],"genre_scores_gemma":[0.9882275,0.000029607436,0.000013273444,0.008647056,0.00007870681,0.000017053995,0.000008215537,0.000009592025,0.0029689814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876654,0.0001081331,0.000116839605,0.00016938357,0.0001242757,0.0007148061],"domain_scores_gemma":[0.9985479,0.00004916685,0.000022625878,0.00026866037,0.0000017514726,0.0011099121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027484252,0.00012593892,0.00008745475,0.00010610815,0.00021307582,0.0001423767,0.00016320244,0.0001670348,0.0007405273],"category_scores_gemma":[0.00021451793,0.000094582145,0.000017672168,0.00031079532,0.00038742129,0.00102985,0.00010605941,0.00022394452,0.0000122801075],"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":[8.5957663e-7,0.000029621979,0.96361136,0.0000017492156,0.0000026038972,0.0000047928243,0.0010014265,8.0577274e-7,0.000061025774,0.0049046134,0.00880681,0.021574339],"study_design_scores_gemma":[0.00007385981,0.000005799454,0.6550655,0.0000011825633,0.0000021821124,0.000016004673,0.00045198176,0.000008473668,0.000005523912,0.00026647962,0.3440207,0.00008230511],"about_ca_topic_score_codex":0.9507389,"about_ca_topic_score_gemma":0.90634483,"teacher_disagreement_score":0.3352139,"about_ca_system_score_codex":0.0008709144,"about_ca_system_score_gemma":0.00020186232,"threshold_uncertainty_score":0.81082547},"labels":[],"label_agreement":null},{"id":"W2042416782","doi":"10.1007/s10668-009-9210-7","title":"Exporting natural capital: the foreign eco-footprint on Costa Rica and implications for sustainability","year":2009,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"","keywords":"Ecological footprint; Natural capital; Sustainability; Natural resource economics; Natural resource; Environmental degradation; Consumption (sociology); Ecosystem; Resource depletion; Population; Economics; Footprint; Ecosystem services; Geography; Business; Environmental resource management; Ecology","score_opus":0.008712200880878901,"score_gpt":0.24554992292765085,"score_spread":0.23683772204677195,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2042416782","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98305297,0.00016767034,0.0009972168,0.01111853,0.000030863324,0.0031140684,0.000007728451,0.00006763472,0.0014433049],"genre_scores_gemma":[0.99685705,0.00004633458,0.001362446,0.0005991326,0.000027136857,0.00040099802,0.000027284415,0.000023360366,0.00065627217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968423,0.00015007248,0.0006666506,0.0010587685,0.0003625779,0.000919618],"domain_scores_gemma":[0.9983295,0.00033136323,0.00019730987,0.0007993457,0.000028269618,0.00031421985],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015964486,0.0004784346,0.00035912878,0.000050161267,0.0012710098,0.00011465334,0.00033325586,0.00013318834,0.0000882818],"category_scores_gemma":[0.00056023186,0.00035734562,0.00011743916,0.00014470577,0.00092856184,0.00024929925,0.0004470856,0.00032682798,0.0000063137736],"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":[0.00019256907,0.0005516754,0.7942825,0.00008530556,0.000024976183,0.0000040092123,0.0040012244,0.00031583247,0.00010524707,0.0076987776,0.00015977297,0.19257809],"study_design_scores_gemma":[0.0005300801,0.00027476356,0.8792036,0.0000037698055,0.00002244687,0.00000635822,0.005227445,0.00013951666,0.0004242952,0.10043803,0.013307402,0.00042226168],"about_ca_topic_score_codex":0.000052018026,"about_ca_topic_score_gemma":0.00002120414,"teacher_disagreement_score":0.19215584,"about_ca_system_score_codex":0.0030174856,"about_ca_system_score_gemma":0.000082288585,"threshold_uncertainty_score":0.9998878},"labels":[],"label_agreement":null},{"id":"W2043080666","doi":"10.1021/es404130v","title":"Regional Water Implications of Reducing Oil Imports with Liquid Transportation Fuel Alternatives in the United States","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"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 Calgary","funders":"Harvard Kennedy School; Belfer Center for Science and International Affairs, Harvard University","keywords":"Cellulosic ethanol; Corn ethanol; Energy security; Biofuel; Environmental science; Water use; Energy independence; Greenhouse gas; Fossil fuel; Renewable energy; Natural resource economics; Water security; Coal; Land use; Waste management; Water resources; Economics; Ethanol fuel; Engineering; Cellulose","score_opus":0.006353532959622804,"score_gpt":0.22407773832421904,"score_spread":0.21772420536459625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043080666","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99468607,0.000019950296,0.000061702965,0.004316508,0.000012026143,0.00029836374,0.000007709492,0.000026877071,0.000570793],"genre_scores_gemma":[0.9989764,0.000099790115,0.0003971249,0.00024285856,0.0000041567505,0.00013737957,0.000050649858,0.000010001026,0.0000816496],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982418,0.00004436575,0.00031456182,0.00045464866,0.0004520592,0.0004925743],"domain_scores_gemma":[0.99931264,0.000028600069,0.00011280292,0.0004685725,0.0000034036323,0.00007395358],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004239497,0.00017171782,0.0001451762,0.00025047368,0.00021005452,0.000020240957,0.00067746866,0.00007130385,0.00082038937],"category_scores_gemma":[0.000009290335,0.00010213587,0.000032509794,0.0008900557,0.004601578,0.0006091405,0.0001131069,0.00019583537,0.000054428285],"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":[0.00003894506,0.00057368446,0.5010953,0.0000103381435,0.0000070022165,0.000008621934,0.008746402,0.009971011,0.47520986,0.00026824896,0.00005174012,0.0040188623],"study_design_scores_gemma":[0.0003227556,0.0004686733,0.9105196,0.000011445027,0.000009747701,0.00003299731,0.008894459,0.00027703278,0.074628115,0.0031338495,0.0014679431,0.00023339054],"about_ca_topic_score_codex":0.0018094459,"about_ca_topic_score_gemma":0.000103354636,"teacher_disagreement_score":0.4094243,"about_ca_system_score_codex":0.0004291001,"about_ca_system_score_gemma":0.000010533547,"threshold_uncertainty_score":0.9981073},"labels":[],"label_agreement":null},{"id":"W2043131667","doi":"10.1016/j.enpol.2011.01.001","title":"Electricity trade and GHG emissions: Assessment of Quebec's hydropower in the Northeastern American market (2006–2008)","year":2011,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; Polytechnique Montréal","funders":"Independent Electricity System Operator","keywords":"Greenhouse gas; Hydropower; Electricity; Life-cycle assessment; Natural resource economics; Agricultural economics; Electricity generation; Emissions trading; Environmental science; Electricity market; Production (economics); Economics; Engineering; Power (physics)","score_opus":0.007682403977575079,"score_gpt":0.2547692819524175,"score_spread":0.2470868779748424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2043131667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95314795,0.000031099396,0.000114800234,0.0006629965,0.000009549506,0.000095338066,0.000004866147,0.000008553244,0.045924857],"genre_scores_gemma":[0.99789554,0.00007596404,0.00022721781,0.00069270167,0.000019783698,0.000015206084,0.0000018828589,0.000009631416,0.0010620853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987759,0.00021889892,0.00021381586,0.00021821515,0.0002403682,0.0003327958],"domain_scores_gemma":[0.9994359,0.000049044622,0.00009366041,0.0003092348,0.0000011804098,0.00011100345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027306698,0.00014140805,0.00016762012,0.0000594779,0.00006337914,0.000009790413,0.00023383622,0.00003873563,0.0006459508],"category_scores_gemma":[0.000034083194,0.000097618125,0.00004623645,0.0003739423,0.0005137211,0.00012962683,0.0001114784,0.00011784464,0.0000020471718],"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":[0.000040495426,0.0005891697,0.9570108,0.000006385232,0.000010640184,0.000016618174,0.0025593927,0.00007548176,0.00081592565,0.0010241274,0.00060624105,0.037244715],"study_design_scores_gemma":[0.00017758842,0.0001329053,0.99350053,0.0000032976536,0.0000058247656,0.000006866293,0.0006100661,0.0005632321,0.00039295256,0.0007284412,0.0037648624,0.00011342359],"about_ca_topic_score_codex":0.20493749,"about_ca_topic_score_gemma":0.016707398,"teacher_disagreement_score":0.18823008,"about_ca_system_score_codex":0.000279957,"about_ca_system_score_gemma":0.00003519157,"threshold_uncertainty_score":0.932312},"labels":[],"label_agreement":null},{"id":"W2045182024","doi":"10.1007/s11367-013-0577-1","title":"Land use impacts on freshwater regulation, erosion regulation, and water purification: a spatial approach for a global scale level","year":2013,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":135,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Land use; Ecosystem services; Groundwater recharge; Impact assessment; Environmental science; Environmental resource management; Scale (ratio); Biome; Ecosystem; Environmental planning; Geography; Groundwater; Ecology; Engineering; Cartography; Civil engineering","score_opus":0.02259011554906455,"score_gpt":0.2802543640953442,"score_spread":0.2576642485462797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2045182024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679682,0.000006170549,0.025497992,0.005596303,0.00013691573,0.00042766548,0.00002619984,0.0000064078445,0.00033414838],"genre_scores_gemma":[0.9907387,0.000008351133,0.008220699,0.000549163,0.00017715518,0.000025314508,0.000035667686,0.000009384402,0.00023556454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984907,0.000083821215,0.0004112797,0.00016826084,0.0006621604,0.00018375966],"domain_scores_gemma":[0.99929696,0.00006798336,0.00021951154,0.00018016515,0.00009011411,0.00014523815],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005575529,0.00013034741,0.00013625495,0.000029170995,0.00014412514,0.00022760608,0.000296019,0.00005058821,0.00065699295],"category_scores_gemma":[0.000058559082,0.0000732571,0.000076829245,0.00003658686,0.00014200866,0.00071639696,0.00013778679,0.00009809758,0.000015060557],"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":[0.00039744264,0.0005629827,0.9421358,0.000011722462,0.00010941736,0.0000013279486,0.0006535381,0.025786025,0.018041626,0.0002579125,0.0052775065,0.006764687],"study_design_scores_gemma":[0.000860694,0.00014407968,0.97538483,0.000011070207,0.000017754832,0.000026270885,0.00012418901,0.016181767,0.0015101484,0.0048950813,0.00074598694,0.000098130025],"about_ca_topic_score_codex":0.0006005711,"about_ca_topic_score_gemma":0.000113838556,"teacher_disagreement_score":0.033249017,"about_ca_system_score_codex":0.0005551747,"about_ca_system_score_gemma":0.00002504198,"threshold_uncertainty_score":0.7193612},"labels":[],"label_agreement":null},{"id":"W2046528435","doi":"10.1021/es060082c","title":"Economic Input−Output Life-Cycle Assessment of Trade Between Canada and the United States","year":2007,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"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 Toronto","funders":"University of Toronto; Carnegie Mellon University","keywords":"Greenhouse gas; Life-cycle assessment; Natural resource economics; Energy intensity; Economics; Resource (disambiguation); Input–output model; Fossil fuel; Goods and services; Production (economics); Consumption (sociology); Manufacturing; Electricity; Agricultural economics; Business; International trade; Energy consumption; Economy; Engineering; Macroeconomics; Waste management","score_opus":0.004137325881423452,"score_gpt":0.2258426893663922,"score_spread":0.22170536348496875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2046528435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961332,0.00003739763,0.0002769624,0.0020189097,0.00005950039,0.00038375313,0.000028944665,0.000029008525,0.001032301],"genre_scores_gemma":[0.99907625,0.000066185225,0.00039081418,0.00035618493,0.000013414728,0.000010769618,0.000011391767,0.000012447607,0.00006252468],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781334,0.000052376578,0.00044327113,0.00050346006,0.0005145104,0.00067306],"domain_scores_gemma":[0.9988887,0.00015450231,0.00019322196,0.00050604466,9.023975e-7,0.0002566639],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0014634228,0.00022014257,0.0002882907,0.00017831709,0.00041836523,0.000021490754,0.00075179874,0.00010422565,0.00035305307],"category_scores_gemma":[0.00004736665,0.00016536679,0.000041669697,0.000570812,0.010147433,0.0002454171,0.0008760602,0.00028664674,0.000011147895],"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":[0.000018441891,0.00006222255,0.9862781,0.0000034759878,0.000012511701,0.000005136025,0.0002832797,0.0030805552,0.002145423,0.00042010724,0.000060859147,0.0076298425],"study_design_scores_gemma":[0.0007216676,0.000110225184,0.9831995,0.0000027184758,0.000019800142,0.000010314805,0.0026918128,0.0018832902,0.0058141956,0.0013873881,0.0039520534,0.00020704069],"about_ca_topic_score_codex":0.12661885,"about_ca_topic_score_gemma":0.052776072,"teacher_disagreement_score":0.073842786,"about_ca_system_score_codex":0.0021498585,"about_ca_system_score_gemma":0.00009525539,"threshold_uncertainty_score":0.9925464},"labels":[],"label_agreement":null},{"id":"W2053450910","doi":"10.1007/s10584-010-9984-5","title":"Systematic under- and overestimation of GHG reductions in renewable biomass systems","year":2010,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Renewable energy; Greenhouse gas; Biomass (ecology); Environmental science; Natural resource economics; Global warming; Renewable resource; Global-warming potential; Methane; Climate change; Economics; Ecology","score_opus":0.02383642100460102,"score_gpt":0.26227495082564894,"score_spread":0.23843852982104793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2053450910","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99720126,0.000093939365,0.00010379591,0.00014060858,0.00014928967,0.0008120934,0.000005874285,0.000014344498,0.0014787918],"genre_scores_gemma":[0.99928075,0.000013805981,0.0003774129,0.000014111312,0.000015405498,0.000112664944,0.0000046710534,0.000008061926,0.00017312753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991028,0.00006380229,0.00032914415,0.0001605691,0.00016806764,0.0001756589],"domain_scores_gemma":[0.9994373,0.00007691012,0.0001335539,0.00028029786,0.0000034062466,0.00006854413],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047315212,0.00009656158,0.0002224698,0.000052226744,0.00005373883,0.000020812487,0.000084728694,0.00006752872,0.00020180068],"category_scores_gemma":[0.00011578839,0.00008318741,0.000025151725,0.00018055968,0.00020743793,0.00027363704,0.000091004,0.00007537124,0.0000276454],"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":[0.00003817562,0.0013657318,0.68188024,0.0551067,0.00005854701,0.000015160882,0.015974842,0.0019180669,0.23962559,0.0030011164,0.0003948168,0.00062103244],"study_design_scores_gemma":[0.00096975366,0.00020550136,0.9206027,0.0019322751,0.000103021375,0.000090212714,0.012159059,0.05390477,0.0023487962,0.007140212,0.00004734895,0.0004963751],"about_ca_topic_score_codex":0.0029908053,"about_ca_topic_score_gemma":0.00081895356,"teacher_disagreement_score":0.23872246,"about_ca_system_score_codex":0.00015306043,"about_ca_system_score_gemma":0.000003866366,"threshold_uncertainty_score":0.4521223},"labels":[],"label_agreement":null},{"id":"W2054267046","doi":"10.1016/j.scitotenv.2015.01.112","title":"A comparative life cycle assessment of conventional hand dryer and roll paper towel as hand drying methods","year":2015,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Centers for Disease Control and Prevention","keywords":"Life-cycle assessment; Scope (computer science); Product (mathematics); Product lifecycle; Engineering; Inventory analysis; Operations management; Environmental impact assessment; Manufacturing engineering; New product development; Production (economics); Computer science; Business; Mathematics","score_opus":0.028607088776075526,"score_gpt":0.3353962276820917,"score_spread":0.30678913890601617,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054267046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98966676,0.00013362983,0.0003589313,0.00076089316,0.000095639334,0.0004939663,0.000007308013,0.0000040767454,0.008478771],"genre_scores_gemma":[0.9957123,0.0000148200825,0.0032318209,0.000071643466,0.000011250353,0.000020248815,6.693335e-7,0.000007297011,0.000929997],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9975962,0.0002932936,0.00034894992,0.0003663474,0.0010581721,0.000337005],"domain_scores_gemma":[0.998801,0.0001272582,0.00024436682,0.0005614055,0.000008448967,0.0002575483],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025110065,0.0001867879,0.00027959127,0.000026880187,0.00049264426,0.000054135482,0.0005749507,0.000041662097,0.001031029],"category_scores_gemma":[0.00013668757,0.000108766864,0.00010125358,0.00021326571,0.008484853,0.00043259008,0.0013370825,0.00015743302,0.000026099275],"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":[0.00014901362,0.0008680995,0.014065881,0.000035664216,0.00007781165,0.0000015270616,0.011916239,0.25831902,0.71113324,0.001277316,0.00017585154,0.0019803676],"study_design_scores_gemma":[0.0011780721,0.00043558207,0.8549094,0.000028359442,0.000085962754,0.00002012453,0.0049243546,0.017358562,0.11121315,0.00930698,0.00023842517,0.00030103175],"about_ca_topic_score_codex":0.00033528171,"about_ca_topic_score_gemma":0.0000033941533,"teacher_disagreement_score":0.8408435,"about_ca_system_score_codex":0.00040100858,"about_ca_system_score_gemma":0.000099318226,"threshold_uncertainty_score":0.99988216},"labels":[],"label_agreement":null},{"id":"W2054614927","doi":"10.13073/fpj-d-13-00048","title":"Cradle-to-Gate Life-Cycle Assessment of a Glued-Laminated Wood Product from Quebec's Boreal Forest","year":2013,"lang":"en","type":"article","venue":"Forest Products Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"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":"Taiga; Boreal; Engineered wood; Forestry; Product (mathematics); Environmental science; Pulpwood; Engineering; Forensic engineering; Pulp and paper industry; Agroforestry; Geography; Civil engineering; Mathematics; Archaeology","score_opus":0.007151198363263118,"score_gpt":0.23891018347271337,"score_spread":0.23175898510945026,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2054614927","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916143,0.00006482974,0.00025361334,0.0037613737,0.00033807836,0.0011604661,0.000020035663,0.0000414301,0.0027459182],"genre_scores_gemma":[0.9922645,0.000021982678,0.0055919252,0.00019965999,0.00036267744,0.000051518182,0.00003520231,0.00004804559,0.0014244826],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664664,0.00020585959,0.00075408246,0.00070395676,0.00088425854,0.00080517033],"domain_scores_gemma":[0.9979731,0.0000474886,0.0003833049,0.0008471726,0.000080296624,0.0006686672],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00077247334,0.00037505265,0.00044095636,0.00010417086,0.00027902395,0.00018699745,0.0006637077,0.000095508054,0.002636853],"category_scores_gemma":[0.00050195935,0.0003032907,0.00012831812,0.0004979464,0.0004239678,0.0011954228,0.0004774225,0.0005440823,0.00034282837],"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":[0.00010941328,0.00145777,0.89671725,0.00006626529,0.00012595038,0.000041403506,0.0015317379,0.06519911,0.009333746,0.00010253966,0.009228867,0.016085926],"study_design_scores_gemma":[0.0006376975,0.00036393202,0.98731506,0.000034022327,0.00004217961,0.000037303333,0.00031788467,0.0044513675,0.0011015878,0.0037309171,0.0016132707,0.00035479845],"about_ca_topic_score_codex":0.017947076,"about_ca_topic_score_gemma":0.005035382,"teacher_disagreement_score":0.09059776,"about_ca_system_score_codex":0.00080863823,"about_ca_system_score_gemma":0.00016764119,"threshold_uncertainty_score":0.99994195},"labels":[],"label_agreement":null},{"id":"W2055330918","doi":"10.1007/s11367-014-0811-5","title":"Consistent characterisation factors at midpoint and endpoint relevant to agricultural water scarcity arising from freshwater consumption","year":2014,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":85,"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":"Water scarcity; Agriculture; Natural resource economics; Scarcity; Context (archaeology); Agricultural productivity; Consumption (sociology); Agricultural economics; Environmental science; Economics; Business; Geography","score_opus":0.01320878156008665,"score_gpt":0.2552439570640191,"score_spread":0.24203517550393244,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055330918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99252224,0.0000092491155,0.0006797138,0.006019114,0.00038486288,0.00015823098,0.00002119747,0.0000075304915,0.00019789011],"genre_scores_gemma":[0.99809283,0.000020096295,0.0008779466,0.000760536,0.00013222807,0.0000036552844,0.000029482904,0.00000788251,0.000075321674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983188,0.00016559818,0.000467268,0.00017742025,0.0006830563,0.0001878572],"domain_scores_gemma":[0.9992667,0.00012434294,0.00023651267,0.00014171921,0.00003451035,0.00019622517],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006728456,0.00014816452,0.00018328421,0.00003389106,0.0001438158,0.00012342207,0.00027930518,0.000039598664,0.0011724549],"category_scores_gemma":[0.00006963109,0.000076481985,0.00009294733,0.000018907826,0.00013538332,0.00032883263,0.00044803132,0.00016443185,0.000053410997],"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":[0.00019778537,0.00016624574,0.79732007,0.000004936569,0.00013173482,0.0000072801254,0.0027245749,0.0019599136,0.19487351,0.000035880283,0.0006919091,0.0018861307],"study_design_scores_gemma":[0.00039938133,0.000093368704,0.9804458,0.00001694459,0.000027071643,0.000020552381,0.0004617165,0.0007206036,0.014621816,0.0007109861,0.0023661782,0.00011554933],"about_ca_topic_score_codex":0.00032230993,"about_ca_topic_score_gemma":0.00016576942,"teacher_disagreement_score":0.18312573,"about_ca_system_score_codex":0.0010496627,"about_ca_system_score_gemma":0.000009989781,"threshold_uncertainty_score":0.9997406},"labels":[],"label_agreement":null},{"id":"W2055675182","doi":"10.1016/j.ecolind.2014.09.032","title":"Evaluating environmental sustainability with the Waste Absorption Footprint (WAF): An application in the Taihu Lake Basin, China","year":2014,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Russian Science Foundation; China Postdoctoral Science Foundation","keywords":"Sustainability; Ecological footprint; Environmental science; Footprint; Agriculture; Environmental indicator; Pollutant; Environmental impact assessment; Environmental protection; Pollution; China; Water use; Environmental pollution; Environmental monitoring; Environmental resource management; Water resource management; Environmental engineering; Ecology; Geography","score_opus":0.008693032120360706,"score_gpt":0.26653432647308894,"score_spread":0.25784129435272823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2055675182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938296,0.0000040705645,0.00073771505,0.0022929725,0.000018629846,0.0014234125,0.0000037435468,0.000033988155,0.0016558671],"genre_scores_gemma":[0.99872106,0.0000024896751,0.00016230301,0.0006042802,0.000046681464,0.00036299348,0.000026272972,0.0000139398635,0.000059986145],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968773,0.0010661677,0.00032076397,0.000601003,0.00060797675,0.00052674854],"domain_scores_gemma":[0.99870634,0.00023277273,0.00018722021,0.00073158904,0.0000026933526,0.00013935874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036308663,0.00024789627,0.0001972535,0.00003933311,0.00049401366,0.00006312739,0.00068390084,0.00014509955,0.00085442455],"category_scores_gemma":[0.00018717628,0.00012638367,0.000072209,0.0003484268,0.0010691878,0.00020806307,0.0002771987,0.00046836035,0.000072784496],"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":[0.00006497544,0.00095903996,0.9538311,0.0000079438,0.0000052549763,0.0000031540371,0.001830457,0.007347505,0.00037399557,0.00040481755,0.000030214811,0.035141543],"study_design_scores_gemma":[0.00034403912,0.000807102,0.98620725,0.000001276701,0.000016159986,0.00000598791,0.0037734308,0.0036269866,0.00013290255,0.0028912995,0.0019998827,0.00019369058],"about_ca_topic_score_codex":0.00016610343,"about_ca_topic_score_gemma":0.0009352859,"teacher_disagreement_score":0.034947854,"about_ca_system_score_codex":0.0008567513,"about_ca_system_score_gemma":0.000015413054,"threshold_uncertainty_score":0.93553495},"labels":[],"label_agreement":null},{"id":"W2058563536","doi":"10.1080/13549839.2012.660909","title":"Greenhouse gas emissions from cities: comparison of international inventory frameworks","year":2012,"lang":"en","type":"article","venue":"Local Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":76,"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":"","keywords":"Greenhouse gas; Climate change; Upstream (networking); Transparency (behavior); Terminology; Business; Emission inventory; Environmental resource management; Environmental economics; Environmental science; Natural resource economics; Environmental planning; Economics; Political science; Geography; Computer science; Air quality index","score_opus":0.013659562183257302,"score_gpt":0.2605686086417508,"score_spread":0.2469090464584935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2058563536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9783649,0.00033076876,0.0149970455,0.0002511964,0.0002472404,0.00019982949,0.000025095827,0.00002964258,0.0055542816],"genre_scores_gemma":[0.9969602,0.00008886071,0.0019220585,0.00025408546,0.000091507194,0.00002267286,0.00003584538,0.000023514052,0.0006012348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981483,0.00008537282,0.00042467302,0.00028502828,0.00062534475,0.00043127817],"domain_scores_gemma":[0.9989574,0.00007500495,0.0001475941,0.00045044802,0.0000011985574,0.00036833299],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00020137324,0.00021641619,0.00025433488,0.00002636256,0.000091690985,0.0000100571815,0.0003486586,0.00023585523,0.022489388],"category_scores_gemma":[0.000032690205,0.00019793837,0.0001242392,0.000054887725,0.0007562228,0.00031404302,0.0005236741,0.0003997328,0.0005951276],"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":[0.00004304731,0.0010216885,0.96711355,0.0000064139235,0.000032785814,0.0000016626745,0.0030465818,0.005376607,0.0023383698,0.000063839776,0.0016878863,0.019267568],"study_design_scores_gemma":[0.00081808766,0.00023192805,0.8877982,0.00003904691,0.00007244577,0.0000027250057,0.0066845026,0.006231589,0.012167992,0.002067299,0.083302505,0.00058369903],"about_ca_topic_score_codex":0.0008505488,"about_ca_topic_score_gemma":0.000019644314,"teacher_disagreement_score":0.08161461,"about_ca_system_score_codex":0.00090221944,"about_ca_system_score_gemma":0.000005504542,"threshold_uncertainty_score":0.97840416},"labels":[],"label_agreement":null},{"id":"W2059642794","doi":"10.1007/s11111-011-0160-2","title":"Energy, population and the environment: exploring Canada’s record on CO2 emissions and energy use relative to other OECD countries","year":2011,"lang":"en","type":"article","venue":"Population and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"The King's University; Western University","funders":"","keywords":"Energy intensity; Population; Fossil fuel; Greenhouse gas; Energy policy; Economics; Primary energy; Population growth; Energy (signal processing); Natural resource economics; Geography; Development economics; Economic growth; Economy; Demography; Renewable energy","score_opus":0.030579171777751702,"score_gpt":0.20425149669698944,"score_spread":0.17367232491923773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059642794","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969587,0.00008839767,0.0006003457,0.0008612613,0.000057135436,0.00022033272,0.000019819172,0.000016416234,0.0011776409],"genre_scores_gemma":[0.9958376,0.0007170424,0.0005040542,0.0010776886,0.000018172199,0.00007723632,0.00001951312,0.000025475236,0.0017232029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998409,0.00015563655,0.00030563853,0.0004751038,0.00035745293,0.0002971714],"domain_scores_gemma":[0.99919385,0.00010381868,0.00011523572,0.0003010844,9.590867e-7,0.0002850712],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019321092,0.00026254004,0.00021419246,0.000035417317,0.00045197806,0.000042273376,0.0000776904,0.00007223635,0.0011614719],"category_scores_gemma":[0.000021853743,0.00019759344,0.000030462432,0.00003215663,0.00028785883,0.0004562442,0.00024686073,0.00009991685,0.0000151465265],"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":[0.00023674149,0.00007717466,0.96266687,0.0000062762647,0.000025350828,0.0000037761179,0.002301004,0.00091406394,0.00008701821,0.00614086,0.00018642422,0.027354453],"study_design_scores_gemma":[0.00051284785,0.000090598114,0.9465619,0.000010195279,0.000032034128,0.0000030470162,0.00034680768,0.0006658776,0.00012298927,0.0021472208,0.04924351,0.00026299438],"about_ca_topic_score_codex":0.41667452,"about_ca_topic_score_gemma":0.043829978,"teacher_disagreement_score":0.37284455,"about_ca_system_score_codex":0.00055883615,"about_ca_system_score_gemma":0.00000435557,"threshold_uncertainty_score":0.9997516},"labels":[],"label_agreement":null},{"id":"W2059787362","doi":"10.1007/bf02978789","title":"Inventory for energy production in Canada","year":2001,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Production (economics); Scope (computer science); Context (archaeology); Electricity; Relevance (law); Coal; Life cycle inventory; Unit (ring theory); Environmental science; Natural gas; Environmental economics; Life-cycle assessment; Computer science; Engineering; Economics; Waste management; Geography; Mathematics","score_opus":0.01132250730511104,"score_gpt":0.26993546530597934,"score_spread":0.2586129580008683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2059787362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894168,0.000028459002,0.000485582,0.008066393,0.0006151484,0.00008045137,0.0000014953537,0.0000015154594,0.0013041758],"genre_scores_gemma":[0.9984062,0.000061029532,0.00023043051,0.0008902078,0.00017136788,0.0000082753395,0.0000014622894,0.0000052691184,0.0002257911],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988963,0.000049292164,0.0003076568,0.00008344465,0.0005359478,0.000127383],"domain_scores_gemma":[0.99957544,0.000048345133,0.00019156378,0.00009335057,0.000021779684,0.0000695114],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00049778586,0.000064256405,0.00008858854,0.000026775282,0.000037401194,0.000017112112,0.00036742017,0.000013061427,0.00033297561],"category_scores_gemma":[0.00008110161,0.000045505123,0.000047103575,0.00005678812,0.00004571263,0.00021212976,0.00008254352,0.00008913093,0.0000012062247],"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":[0.00015803527,0.00019315204,0.9313975,0.0000020298717,0.000047325266,0.000028997627,0.0001393489,0.044193104,0.0008162529,0.00017373309,0.005638974,0.017211575],"study_design_scores_gemma":[0.0006385567,0.00007466446,0.96246725,0.000012519946,0.000009311929,0.00006221336,0.0012750273,0.0044182576,0.00047026848,0.0040047606,0.02646806,0.00009908413],"about_ca_topic_score_codex":0.2721764,"about_ca_topic_score_gemma":0.45332727,"teacher_disagreement_score":0.18115087,"about_ca_system_score_codex":0.003216855,"about_ca_system_score_gemma":0.0003080914,"threshold_uncertainty_score":0.8411964},"labels":[],"label_agreement":null},{"id":"W2061191547","doi":"10.1016/j.egypro.2011.03.063","title":"Energy Use and CO2 Emission Inventories in the Four Municipalities of China","year":2011,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"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":"","keywords":"Emission intensity; Beijing; China; Energy consumption; Coal; Restructuring; Consumption (sociology); Environmental science; Greenhouse gas; Carbon fibers; Index (typography); Natural resource economics; Economic restructuring; Air quality index; Energy intensity; Business; Economy; Geography; Economics; Meteorology; Waste management; Engineering; Finance","score_opus":0.028047328962331364,"score_gpt":0.21228031257107935,"score_spread":0.18423298360874799,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061191547","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99111414,0.00009115981,0.000020621472,0.00004426303,0.000025816547,0.00003955881,0.000002058549,0.000008622603,0.0086537665],"genre_scores_gemma":[0.99789006,0.00013089807,0.00014283083,0.0001468281,0.000012673751,0.000016780261,0.0000029882249,0.0000073577467,0.0016495623],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921423,0.00008410443,0.00016357972,0.00015994716,0.00018516516,0.00019296522],"domain_scores_gemma":[0.99962676,0.00004223891,0.000055807945,0.0002111496,0.0000026649222,0.00006137206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021044533,0.00010903328,0.000110787354,0.000017885337,0.000061543135,0.000013531674,0.0001824576,0.00005587706,0.00022569578],"category_scores_gemma":[0.00007376511,0.00007378614,0.000026552862,0.000121932775,0.00036366432,0.00033059414,0.00017739939,0.00006026191,8.4533707e-7],"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":[0.00005644871,0.00016493528,0.9631193,0.000019593452,0.0000052822456,0.000009856615,0.024612557,0.000026940805,0.001015875,0.007905798,0.00042806714,0.0026353407],"study_design_scores_gemma":[0.00022705049,0.0001240854,0.96746075,0.000012198158,0.000007946859,0.000008787694,0.003924278,0.00018348052,0.009868644,0.011747705,0.0062896726,0.00014542752],"about_ca_topic_score_codex":0.015875567,"about_ca_topic_score_gemma":0.0014374489,"teacher_disagreement_score":0.020688279,"about_ca_system_score_codex":0.000057125642,"about_ca_system_score_gemma":0.0000075024545,"threshold_uncertainty_score":0.9906778},"labels":[],"label_agreement":null},{"id":"W2061215019","doi":"10.1017/s1355770x13000582","title":"Production-based versus consumption-based emission targets: implications for developing and developed economies","year":2013,"lang":"en","type":"article","venue":"Environment and Development Economics","topic":"Environmental Impact and Sustainability","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":"Centre for International Governance Innovation; Environment and Climate Change Canada","funders":"","keywords":"Economics; Production (economics); Consumption (sociology); Computable general equilibrium; Natural resource economics; Energy consumption; Greenhouse gas; Environmental science; International economics; Environmental economics; Macroeconomics","score_opus":0.028122236155381137,"score_gpt":0.23892672421660385,"score_spread":0.2108044880612227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061215019","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98973924,0.00008389405,0.0060730176,0.0026190311,0.000106105,0.0011224566,0.000009382247,0.000038080343,0.00020877746],"genre_scores_gemma":[0.89315516,0.00024831152,0.104627304,0.0005155495,0.000027890708,0.0007458052,0.00012673643,0.00003496808,0.0005182789],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985181,0.00002374165,0.0004156698,0.0006108075,0.000057073936,0.00037462558],"domain_scores_gemma":[0.99927133,0.00015353973,0.00014266626,0.00023516678,0.0000044480257,0.00019281852],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025631848,0.0002788912,0.00021730947,0.000051897947,0.0005323811,0.000086011416,0.00011810855,0.00009855443,0.00069119665],"category_scores_gemma":[0.000040719922,0.000283196,0.0000331206,0.000027574617,0.00033348668,0.00038228036,0.00014706257,0.00007234848,0.00016759614],"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":[0.000092721755,0.00009729459,0.95735204,0.000056376775,0.00003480684,1.2117766e-7,0.00028355012,0.0025572206,0.00078900374,0.00013104014,0.0007616439,0.037844155],"study_design_scores_gemma":[0.0013390821,0.0000558079,0.9357132,0.000008630074,0.00001431896,0.0000010499054,0.00015907561,0.0016433276,0.0061504156,0.0006727,0.053717677,0.0005247671],"about_ca_topic_score_codex":0.000021453905,"about_ca_topic_score_gemma":0.000024629651,"teacher_disagreement_score":0.09855429,"about_ca_system_score_codex":0.00091645424,"about_ca_system_score_gemma":0.00007641041,"threshold_uncertainty_score":0.99996203},"labels":[],"label_agreement":null},{"id":"W2061229401","doi":"10.1007/s10666-013-9382-2","title":"Environmental Issues for the Chinese Strong Aromatic Liquor Industry: an Assessment for the Brewing System","year":2013,"lang":"en","type":"article","venue":"Environmental Modeling & Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Brewing; Environmental science; Environmental impact assessment; Life-cycle assessment; Waste management; Wastewater; Production (economics); Environmental pollution; Pulp and paper industry; Environmental engineering; Environmental protection; Engineering; Chemistry","score_opus":0.015397088567577327,"score_gpt":0.3170416450689961,"score_spread":0.3016445565014188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061229401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8838385,0.0003153462,0.10662706,0.0015680175,0.00039905036,0.0066069933,0.0001540657,0.000120823104,0.0003701649],"genre_scores_gemma":[0.9797222,0.00007738104,0.014168444,0.0004332666,0.0003388339,0.0042827846,0.00015826586,0.00014536636,0.0006734342],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9952425,0.00026086706,0.00096070505,0.001129871,0.0011573648,0.0012487355],"domain_scores_gemma":[0.9971672,0.00058221235,0.00034007293,0.00150034,0.0000037017105,0.0004064545],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015237074,0.0008268184,0.00055984705,0.000048736918,0.0020459825,0.00041690876,0.0012418544,0.00032903816,0.0016359951],"category_scores_gemma":[0.000025775158,0.00051975966,0.00042718547,0.00012848424,0.00059698493,0.0013095057,0.0007388862,0.00080847554,0.00012315267],"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":[0.00013015403,0.0025666319,0.29344895,0.00017030361,0.00056891964,0.000006493322,0.0025469942,0.6207014,0.024783228,0.00034663378,0.0010586431,0.053671654],"study_design_scores_gemma":[0.0010284703,0.00045757805,0.24067566,0.000023550938,0.00019895111,0.000014596542,0.015594232,0.739786,0.00012630626,0.0006286795,0.00088884734,0.0005771283],"about_ca_topic_score_codex":0.00076525426,"about_ca_topic_score_gemma":0.000032682885,"teacher_disagreement_score":0.119084604,"about_ca_system_score_codex":0.0034995377,"about_ca_system_score_gemma":0.00003694923,"threshold_uncertainty_score":0.9997254},"labels":[],"label_agreement":null},{"id":"W2061506698","doi":"10.1111/j.1530-9290.2012.00549.x","title":"Minerals, Metals and Sustainability: Meeting Future Material Needs, by William J.Rankin. Boca Raton, FL, USA: CRC Press, 2011, 440 pp., ISBN 9780415684590, paperback, $99.95.","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Citation; Library science; Sustainability; Sociology; Political science; Computer science","score_opus":0.011847718509475828,"score_gpt":0.234378860211686,"score_spread":0.22253114170221017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2061506698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888665,0.003312284,0.0000066531184,0.0033434026,0.0027487632,0.00067728094,0.000045660385,0.000016787712,0.0009826875],"genre_scores_gemma":[0.9919321,0.0022467286,0.00024236136,0.000559587,0.0033697411,0.000021904076,0.000016100756,0.00004881941,0.0015626486],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99577594,0.0008845657,0.0012477456,0.00036750908,0.00056586316,0.0011583607],"domain_scores_gemma":[0.997753,0.00025498492,0.00088680646,0.00037805416,0.000060853712,0.00066627515],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029716955,0.00047552434,0.0009133482,0.00005563162,0.00032098818,0.00011661865,0.0004762344,0.0007666695,0.005185086],"category_scores_gemma":[0.00073207915,0.00038357347,0.00023274437,0.00017077458,0.0007646966,0.0014997188,0.00049924885,0.0008579799,0.000041191903],"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":[0.0010427292,0.0008441785,0.51467323,0.00004305936,0.00018305484,0.000047239468,0.0009453277,0.00017828116,0.010991275,0.000043251923,0.46670517,0.0043032044],"study_design_scores_gemma":[0.004943675,0.0017500833,0.07985457,0.000024302843,0.00035523434,0.00045422374,0.0044756397,0.000024316485,0.007555878,0.00068651064,0.89898676,0.0008888076],"about_ca_topic_score_codex":0.00061052997,"about_ca_topic_score_gemma":0.00010121472,"teacher_disagreement_score":0.43481866,"about_ca_system_score_codex":0.0011236077,"about_ca_system_score_gemma":0.00012472595,"threshold_uncertainty_score":0.9998616},"labels":[],"label_agreement":null},{"id":"W2063315616","doi":"10.1016/j.rser.2006.05.009","title":"Green energies and the environment","year":2006,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":270,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; Renewable energy; Environmentally friendly; Energy consumption; Environmental science; Energy conservation; Environmental economics; Efficient energy use; Air conditioning; Environmental engineering; Ozone layer; Environmental protection; Sustainable development; Greenhouse gas; Global warming; Natural resource economics; Environmental impact of the energy industry; Waste management; Climate change; Engineering; Energy policy; Ozone; Meteorology; Economics","score_opus":0.005211563399819559,"score_gpt":0.19472164301734968,"score_spread":0.1895100796175301,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063315616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6426247,0.15801582,0.003176523,0.0040981937,0.000083988874,0.0020355068,0.0000053952126,0.0001270042,0.18983288],"genre_scores_gemma":[0.7391143,0.035843838,0.00041750507,0.00088581175,0.00008830187,0.00025633402,0.000013507395,0.00003219116,0.22334822],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980877,0.00025936918,0.0003805719,0.00042756446,0.00021519198,0.00062957546],"domain_scores_gemma":[0.9992407,0.0000787333,0.00011751441,0.00043529586,0.0000037469617,0.00012400377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011316667,0.0002743101,0.0004125323,0.000028362909,0.0005372622,0.00008783897,0.00018142212,0.000079519625,0.0005412691],"category_scores_gemma":[0.00003395771,0.0001679244,0.00009560359,0.0001541611,0.0009640369,0.0003296982,0.00060992496,0.000084232364,0.000019059555],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066636596,0.0011066233,0.23488846,0.0015244905,0.00016168415,0.0003549368,0.0026378282,0.047538035,0.00499935,0.29142052,0.084947,0.3297547],"study_design_scores_gemma":[0.0007768149,0.00004747977,0.0054592146,0.000008453792,0.000043170006,0.000017938595,0.00073893793,0.00039934737,0.00035989084,0.029008305,0.9628803,0.000260141],"about_ca_topic_score_codex":0.057290394,"about_ca_topic_score_gemma":0.00052579405,"teacher_disagreement_score":0.8779333,"about_ca_system_score_codex":0.00021141276,"about_ca_system_score_gemma":0.00000881374,"threshold_uncertainty_score":0.9489872},"labels":[],"label_agreement":null},{"id":"W2063933411","doi":"10.1016/j.eneco.2006.02.006","title":"Decomposition of electricity demand in China's industrial sector","year":2006,"lang":"en","type":"article","venue":"Energy Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Electricity; Secondary sector of the economy; Electricity demand; China; Final demand; Economics; Mains electricity; Natural resource economics; Energy demand; Supply and demand; Electricity generation; Business; Agricultural economics; Economy; Production (economics); Engineering; Macroeconomics; Geography; Power (physics)","score_opus":0.004767166310026733,"score_gpt":0.18896647983043913,"score_spread":0.18419931352041238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063933411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896541,0.0000120497925,0.00024511706,0.000054599033,0.000044541604,0.000055747452,0.0000044822323,0.000007466935,0.009921893],"genre_scores_gemma":[0.9995646,0.000013993185,0.0001234149,0.000033196393,0.000044848744,0.0000049737387,0.00001557182,0.000006825004,0.00019259407],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993383,0.000041588522,0.00023534257,0.00016530372,0.000040590297,0.00017884883],"domain_scores_gemma":[0.99972874,0.000019995301,0.00007977229,0.00012539636,6.78846e-7,0.000045445922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015681614,0.00008539887,0.00013089199,0.000034973516,0.000032190335,0.000008316576,0.000093394236,0.00008166035,0.0006515711],"category_scores_gemma":[0.000008897385,0.000091114554,0.000040815306,0.00008708509,0.000084174186,0.00015621715,0.000058313522,0.00006531195,0.0000045716724],"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":[0.000039557806,0.0001638806,0.96564186,0.0000014535486,0.0000025321651,0.0000014485319,0.000033049182,0.029836051,0.0016574031,0.00053054333,0.00019172163,0.0019005275],"study_design_scores_gemma":[0.0007909948,0.00008963449,0.94004935,0.0000019156162,0.000004822909,0.0000036073666,0.000022051532,0.008987274,0.036972784,0.010362414,0.0025348412,0.00018029094],"about_ca_topic_score_codex":0.008061329,"about_ca_topic_score_gemma":0.0034951202,"teacher_disagreement_score":0.03531538,"about_ca_system_score_codex":0.00063679,"about_ca_system_score_gemma":0.00000957942,"threshold_uncertainty_score":0.9985441},"labels":[],"label_agreement":null},{"id":"W2065202886","doi":"10.1021/es9030003","title":"Considering Time in LCA: Dynamic LCA and Its Application to Global Warming Impact Assessments","year":2010,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":686,"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":"Greenhouse gas; Life-cycle assessment; Global warming; Environmental science; Global-warming potential; Radiative forcing; Fossil fuel; Time horizon; Climate change; Renewable energy; Biofuel; Land use, land-use change and forestry; Environmental impact assessment; Environmental economics; Land use; Engineering; Production (economics); Waste management; Mathematics; Economics; Civil engineering; Ecology; Mathematical optimization","score_opus":0.002953326160970894,"score_gpt":0.27849868628603097,"score_spread":0.2755453601250601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2065202886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99707156,0.000025345162,0.00025193644,0.0004734217,0.00005899546,0.0007379256,0.000015608584,0.00008346294,0.0012817268],"genre_scores_gemma":[0.9977713,0.000012076479,0.0018877784,0.000121400604,0.0000060646535,0.00007294196,0.0000042601255,0.0000144743035,0.00010967875],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99747604,0.000025044807,0.00029652758,0.00090133055,0.00046803523,0.0008330337],"domain_scores_gemma":[0.99906754,0.000020062964,0.00008826808,0.00049771153,0.0000017563228,0.00032468323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00060178514,0.00027612865,0.00023134184,0.00021450919,0.00032185265,0.000045739405,0.000621614,0.00018981691,0.0008736107],"category_scores_gemma":[0.000080022095,0.00026683256,0.000038706705,0.0011201287,0.0017434929,0.0006908054,0.001368985,0.00037517736,0.0007109054],"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":[0.000007834853,0.00010848312,0.4026352,0.0000014148579,0.0000017253284,0.000007874929,0.00006644045,0.00027110465,0.5708257,0.000051763065,0.0000035011178,0.026019],"study_design_scores_gemma":[0.00034236518,0.00021245195,0.96481097,0.000005148176,0.0000066812127,0.00009865778,0.00032159573,0.010466534,0.02098037,0.0017291632,0.00065539527,0.00037066403],"about_ca_topic_score_codex":0.00015102417,"about_ca_topic_score_gemma":0.00021341645,"teacher_disagreement_score":0.5621758,"about_ca_system_score_codex":0.0023336925,"about_ca_system_score_gemma":0.000027193675,"threshold_uncertainty_score":0.99997836},"labels":[],"label_agreement":null},{"id":"W2066116000","doi":"10.1021/es204411c","title":"Analysis of Energy Use and CO<sub>2</sub> Emissions in the U.S. Refining Sector, With Projections for 2025","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"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":"Refining (metallurgy); Environmental science; Greenhouse gas; Energy (signal processing); Energy sector; Waste management; Process engineering; Chemistry; Natural resource economics; Economics; Engineering; Mathematics; Statistics; Geology","score_opus":0.012879820485950256,"score_gpt":0.24732637428763382,"score_spread":0.23444655380168355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066116000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984617,0.000056100635,0.0005100419,0.00020578163,0.000017982986,0.00024324318,0.000024215933,0.000021005626,0.00045990388],"genre_scores_gemma":[0.998982,0.00006431969,0.0006427029,0.00010436137,0.0000054964144,0.00011712119,0.0000103226985,0.000008844237,0.000064797445],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983562,0.00005060035,0.00023439866,0.00041239112,0.00036579755,0.00058060134],"domain_scores_gemma":[0.9992318,0.00010666872,0.00011288345,0.00043573423,0.0000018909809,0.00011099905],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00069996435,0.00016905027,0.00021824053,0.000451375,0.00039342293,0.000024558078,0.00037037992,0.000106085994,0.00008854347],"category_scores_gemma":[0.00007635129,0.00011648604,0.000055473152,0.0022414483,0.0034195958,0.00068473676,0.0002650601,0.00015403958,0.000004599981],"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":[0.0000136900235,0.00023068734,0.81354654,0.0000014389724,0.000016210826,8.4279577e-7,0.0005060225,0.0002622944,0.18158059,0.00018950467,0.00001843198,0.003633766],"study_design_scores_gemma":[0.00021673528,0.00020913925,0.9215358,0.000003947208,0.00010716073,0.000014379491,0.0022903257,0.00037340994,0.07246506,0.000099155804,0.002515962,0.00016891395],"about_ca_topic_score_codex":0.00015219007,"about_ca_topic_score_gemma":0.00025393517,"teacher_disagreement_score":0.10911553,"about_ca_system_score_codex":0.00047023754,"about_ca_system_score_gemma":0.000014850844,"threshold_uncertainty_score":0.99929255},"labels":[],"label_agreement":null},{"id":"W2066204044","doi":"10.1016/j.trd.2006.07.003","title":"Greenhouse gas emissions and the surface transport of freight in Canada","year":2006,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":100,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canada Energy Regulator; University of Waterloo; Carleton University","funders":"","keywords":"Greenhouse gas; Truck; Kyoto Protocol; Modal shift; Government (linguistics); Fuel efficiency; International trade; Business; Natural resource economics; Environmental science; Economics; Agricultural economics; Economy; Transport engineering; Engineering; Public transport","score_opus":0.015161838357063851,"score_gpt":0.24273741822725348,"score_spread":0.22757557987018961,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2066204044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673724,0.000289516,0.000080504295,0.0009251442,0.000016825239,0.000719357,0.00008646395,0.000008418448,0.0011365204],"genre_scores_gemma":[0.9976957,0.0014410855,0.00017212566,0.00003253354,0.000009821215,0.00004795287,0.00008250215,0.000019925472,0.0004983704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973769,0.0001323406,0.0006133275,0.00044428807,0.0009019783,0.00053114904],"domain_scores_gemma":[0.99928415,0.000138445,0.00007159032,0.00030036533,0.000004556645,0.00020090304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009461686,0.00021917371,0.0003260144,0.000037885322,0.0002112169,0.000005662113,0.00017351712,0.000074537864,0.001421297],"category_scores_gemma":[0.0000029897012,0.00016357414,0.00006196693,0.00021341752,0.0014047027,0.0001731116,0.000011831867,0.00033379337,0.000004667428],"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":[0.0002170707,0.000165327,0.9883154,0.000046130262,0.000009607658,0.0000493891,0.0009010268,0.008795601,0.0005379206,0.0003065504,0.00009675337,0.00055919203],"study_design_scores_gemma":[0.001646671,0.000052299743,0.9891169,0.00001813524,0.000025893389,0.0000013050111,0.0008392595,0.00020083411,0.00064147206,0.0012078359,0.0060739634,0.00017542274],"about_ca_topic_score_codex":0.8477412,"about_ca_topic_score_gemma":0.8894242,"teacher_disagreement_score":0.04168302,"about_ca_system_score_codex":0.0003186307,"about_ca_system_score_gemma":0.00007947604,"threshold_uncertainty_score":0.9994915},"labels":[],"label_agreement":null},{"id":"W2067202425","doi":"10.1257/aer.103.3.326","title":"Linking Numerical and Analytical Models of Carbon Leakage","year":2013,"lang":"en","type":"article","venue":"American Economic Review","topic":"Environmental Impact and Sustainability","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":"University of Calgary","funders":"","keywords":"Leakage (economics); Carbon leakage; Channel (broadcasting); Economics; Econometrics; Environmental science; Computer science; Mechanics; Physics; Telecommunications; Greenhouse gas; Geology; Emissions trading; Macroeconomics","score_opus":0.011474232523776547,"score_gpt":0.24786522079571222,"score_spread":0.23639098827193566,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067202425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9723235,0.0021671273,0.000092160066,0.00058862707,0.000012886661,0.00034897128,0.0000013800834,0.000010945849,0.024454447],"genre_scores_gemma":[0.99052745,0.008127182,0.00047010713,0.0007235089,0.000009129606,0.000019905823,0.0000015342316,0.00001002727,0.000111145055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990838,0.00006214394,0.0003237299,0.00025132712,0.000070695285,0.00020828117],"domain_scores_gemma":[0.99940085,0.000043535638,0.00014496733,0.00027173304,0.0000015962175,0.00013729343],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019484662,0.00011953102,0.00040923685,0.000011705654,0.000022277234,0.000009461532,0.0001299057,0.00001835345,0.0011549928],"category_scores_gemma":[0.000017203649,0.0001020379,0.00007116977,0.00006856706,0.0006078728,0.00019701877,0.00016695129,0.00007886237,0.00014368423],"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":[0.000004662404,0.00008568731,0.50390774,0.0003383854,0.00002854098,0.0000020109874,0.00016615148,0.0007870783,0.00012866061,0.00032337848,0.00068497943,0.49354273],"study_design_scores_gemma":[0.00046300513,0.0005932178,0.8191417,0.00048990047,0.0002016622,0.00004435311,0.0005506875,0.15603894,0.00015681594,0.00587738,0.01538791,0.001054424],"about_ca_topic_score_codex":0.0026713402,"about_ca_topic_score_gemma":0.000009869801,"teacher_disagreement_score":0.4924883,"about_ca_system_score_codex":0.00020857842,"about_ca_system_score_gemma":0.0000076008196,"threshold_uncertainty_score":0.99975806},"labels":[],"label_agreement":null},{"id":"W2067529941","doi":"10.1016/j.jclepro.2005.07.015","title":"Development of eco-efficiency indicators for the Canadian food and beverage industry","year":2005,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":170,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Benchmarking; Environmental economics; Greenhouse gas; Business; Agriculture; Product (mathematics); Sustainable development; Cleaner production; Production (economics); Beverage industry; Food processing; Quality (philosophy); Environmental impact assessment; Resource efficiency; Environmental resource management; Environmental science; Engineering; Marketing; Waste management; Municipal solid waste","score_opus":0.010634273733257458,"score_gpt":0.23350021591740006,"score_spread":0.2228659421841426,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067529941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973144,0.00006204066,0.000113435955,0.0019020215,0.00009872133,0.00018157005,9.730384e-7,0.0000015368394,0.00032527882],"genre_scores_gemma":[0.99760294,0.000009428714,0.0019569064,0.00006627064,0.00011926772,0.0000023467362,3.4286916e-7,0.0000050237804,0.00023744872],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99925935,0.000019538582,0.00027472337,0.000094279276,0.00020614572,0.00014594603],"domain_scores_gemma":[0.99957156,0.000015842905,0.00019529196,0.000095273426,0.0000098441005,0.00011217046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008233178,0.00006396936,0.000084566374,0.00006193398,0.0002214601,0.000012644305,0.00010656442,0.000067460904,0.00014447009],"category_scores_gemma":[0.000092300135,0.000042887274,0.000030791278,0.00009573711,0.00015696033,0.00022995251,0.000028449886,0.00019611018,0.0000019568322],"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":[0.00009196792,0.00032991616,0.32225117,0.000037195023,0.000068449466,0.0000013092276,0.011241336,0.016101962,0.004328556,0.00003538523,0.0029982876,0.64251447],"study_design_scores_gemma":[0.00030307044,0.0002190423,0.82807505,0.000009297506,0.000025452473,0.00005284393,0.0020216892,0.00008225341,0.035718568,0.00011742674,0.1332616,0.00011367016],"about_ca_topic_score_codex":0.00032503068,"about_ca_topic_score_gemma":0.008853293,"teacher_disagreement_score":0.6424008,"about_ca_system_score_codex":0.00048975466,"about_ca_system_score_gemma":0.00008045797,"threshold_uncertainty_score":0.49403453},"labels":[],"label_agreement":null},{"id":"W2067709437","doi":"10.1016/j.scitotenv.2010.09.016","title":"Development of normalization factors for Canada and the United States and comparison with European factors","year":2010,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Normalization (sociology); Econometrics; Geography; Environmental resource management; Environmental science; Mathematics","score_opus":0.007697344743473274,"score_gpt":0.19962256590291663,"score_spread":0.19192522115944335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067709437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9990202,0.0000059258978,0.00009916977,0.00022071286,0.000038370283,0.0004613114,0.000009222806,0.0000026615512,0.00014241807],"genre_scores_gemma":[0.99942756,0.0000058925375,0.00042371152,0.000016091197,0.0000024355145,0.0000049847904,0.0000038665894,0.0000067583806,0.00010867272],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988356,0.00006607065,0.00022236508,0.00018202957,0.00048378832,0.00021012114],"domain_scores_gemma":[0.99930316,0.00011981387,0.00018352017,0.00031461747,0.0000039371257,0.000074944975],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00085861044,0.0001280345,0.00012692148,0.000014578584,0.00053707696,0.00002007478,0.00038600955,0.000013815665,0.00004741918],"category_scores_gemma":[0.00005397609,0.00005227884,0.00002038576,0.00014365304,0.0042435797,0.00011221294,0.00046759992,0.00009821807,3.771241e-7],"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":[0.00031791613,0.0003335455,0.6266969,0.00006938263,0.00007210406,3.4547384e-7,0.067631885,0.16233876,0.13864619,0.0006945924,0.000083186336,0.0031152242],"study_design_scores_gemma":[0.00035696122,0.000046793328,0.94056773,0.000004254506,0.000022096969,0.0000014923728,0.0053827544,0.0039072,0.049269903,0.000066621484,0.00027627603,0.00009792937],"about_ca_topic_score_codex":0.03756648,"about_ca_topic_score_gemma":0.0107211545,"teacher_disagreement_score":0.31387085,"about_ca_system_score_codex":0.0001350063,"about_ca_system_score_gemma":0.00003580278,"threshold_uncertainty_score":0.9984663},"labels":[],"label_agreement":null},{"id":"W2067992529","doi":"10.1139/x03-020","title":"Substitution between floor constructions in wood and natural stone: comparison of energy consumption, greenhouse gas emissions, and costs over the life cycle","year":2003,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Demolition; Natural gas; Environmental science; Forest floor; Energy consumption; Life-cycle assessment; Carbon footprint; Environmental engineering; Waste management; Natural resource economics; Engineering; Production (economics); Economics; Ecology; Civil engineering","score_opus":0.02582965566117639,"score_gpt":0.3142633213488315,"score_spread":0.2884336656876551,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2067992529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981574,0.001232212,0.0000232299,0.00022971893,0.000036505615,0.00011056928,0.000009444995,0.00000100232,0.00019994393],"genre_scores_gemma":[0.99974155,0.00012869891,0.00006041486,0.000015361778,0.000014268654,0.0000018172422,0.0000015612204,0.000005127824,0.000031201005],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986405,0.00035110192,0.00028553084,0.00011242586,0.0003012035,0.00030926787],"domain_scores_gemma":[0.9990318,0.0001559971,0.00008185221,0.00012680999,0.000025542338,0.0005780048],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010811813,0.00007617038,0.00015634355,0.00015355773,0.00031318446,0.00003810266,0.00013090645,0.00006236028,0.00031341665],"category_scores_gemma":[0.00047445946,0.0000568288,0.000025755588,0.00022610123,0.0017346814,0.0002116038,0.000034442302,0.0004029457,0.0000019307747],"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":[0.000011865649,0.000020633703,0.99493706,0.0000062359645,0.000008558313,0.000009934646,0.0003070553,0.00016084748,0.00010294868,0.0006582446,0.00015204784,0.003624554],"study_design_scores_gemma":[0.00041315315,0.00009443074,0.99643934,0.000026163518,0.000008360361,0.000048439986,0.00088026613,0.00009011359,0.00020050084,0.00095114595,0.0007905642,0.000057531914],"about_ca_topic_score_codex":0.018010423,"about_ca_topic_score_gemma":0.12833902,"teacher_disagreement_score":0.1103286,"about_ca_system_score_codex":0.00047278387,"about_ca_system_score_gemma":0.0002785197,"threshold_uncertainty_score":0.9885287},"labels":[],"label_agreement":null},{"id":"W2068246108","doi":"10.1139/l04-060","title":"Decision support for sustainable development using a Canadian economic input–output life cycle assessment model","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Society of Environmental Toxicology and Chemistry","keywords":"Life-cycle assessment; Environmental economics; Greenhouse gas; Sustainable development; Resource (disambiguation); Economic model; Electricity; Engineering; Economics; Environmental resource management; Natural resource economics; Production (economics); Computer science","score_opus":0.009188438608363218,"score_gpt":0.22286939672266118,"score_spread":0.21368095811429796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2068246108","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91835845,0.0000673552,0.07652442,0.00021363152,0.00015224714,0.00030631447,0.000012222383,0.000007997002,0.0043573715],"genre_scores_gemma":[0.9703214,0.0000031392062,0.028983518,0.00019856016,0.000083849365,0.0000066338866,0.0000031061672,0.000031725842,0.00036804148],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983229,0.000009843299,0.00047567894,0.00017968561,0.0001691967,0.00084269437],"domain_scores_gemma":[0.99770975,0.00003165415,0.00010845069,0.00016951127,0.000022843218,0.0019578054],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00068342127,0.00019279987,0.00023530131,0.0002841773,0.00024847148,0.00009622658,0.000286231,0.00008883834,0.00093820813],"category_scores_gemma":[0.000105281666,0.00020809895,0.00010078543,0.0000934988,0.00004651099,0.0006824963,0.000039129234,0.0001853292,0.00001614158],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000036451138,0.000008603576,0.0066616214,0.000014178036,0.000016558693,0.00004059291,0.00039575732,0.98948747,0.000040351315,0.00007881868,0.0013758176,0.0018765741],"study_design_scores_gemma":[0.0005690948,0.00006648626,0.033022974,0.000027036655,0.00002455321,0.00006260905,0.00047560982,0.87885255,0.000099175006,0.00021531525,0.086216316,0.0003682755],"about_ca_topic_score_codex":0.03702128,"about_ca_topic_score_gemma":0.7339332,"teacher_disagreement_score":0.69691193,"about_ca_system_score_codex":0.011757539,"about_ca_system_score_gemma":0.003541515,"threshold_uncertainty_score":0.9999751},"labels":[],"label_agreement":null},{"id":"W206838067","doi":"10.1016/j.ecolecon.2014.11.009","title":"The Kenneth E. Boulding Memorial Award 2014","year":2014,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Tribute; Ecological economics; Presentation (obstetrics); Principal (computer security); Environmental ethics; Economic history; Economics; History; Ecology; Art history; Philosophy; Sustainability; Biology","score_opus":0.006188188358804333,"score_gpt":0.20655422753668803,"score_spread":0.2003660391778837,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W206838067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9633025,0.000009954416,0.00010487779,0.0015603228,0.0005794976,0.00016913757,0.0000016845671,0.000033691922,0.034238346],"genre_scores_gemma":[0.9975366,0.00011978917,0.00031944382,0.00076465536,0.00020694561,0.000018036311,0.0000023930245,0.000008840866,0.0010232753],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99890655,0.00010800116,0.00022981632,0.00028566545,0.000060887258,0.00040910405],"domain_scores_gemma":[0.99913377,0.0003417209,0.000076953685,0.00029948633,0.0000014787652,0.00014662038],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00095255865,0.00012762396,0.00014833895,0.0000058722735,0.00043017018,0.00007745288,0.00034969818,0.00010906154,0.002690085],"category_scores_gemma":[0.00025322783,0.00008390829,0.00008715663,0.000028490611,0.0004428978,0.00014337158,0.0003540422,0.00016608578,0.0016578644],"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":[0.00027002714,0.0006715615,0.69333583,0.000010904015,0.00005757015,0.000007723446,0.00035328604,0.04000828,0.0008236667,0.02420264,0.1137613,0.12649722],"study_design_scores_gemma":[0.00035920646,0.00023519252,0.48084006,4.5117818e-7,0.000007470334,0.000003442082,0.00009867324,0.0070775966,0.00030709078,0.031401828,0.47944146,0.00022752573],"about_ca_topic_score_codex":0.000043806664,"about_ca_topic_score_gemma":0.0001778189,"teacher_disagreement_score":0.36568016,"about_ca_system_score_codex":0.0005008792,"about_ca_system_score_gemma":0.0000060453563,"threshold_uncertainty_score":0.99911946},"labels":[],"label_agreement":null},{"id":"W2069275655","doi":"10.5539/jsd.v7n2p78","title":"Research on Environmental Tax with Emphasis on Developing Renewable Energy in Beijing, China","year":2014,"lang":"en","type":"article","venue":"Journal of Sustainable Development","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":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Tsukuba","keywords":"Greenhouse gas; Renewable energy; Beijing; Natural resource economics; Carbon tax; Constraint (computer-aided design); Economics; Environmental economics; Energy policy; China; Business; Environmental science; Geography; Ecology; Engineering","score_opus":0.012927608330564807,"score_gpt":0.26061761402998296,"score_spread":0.24769000569941815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069275655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98290604,0.00003104933,0.0008752297,0.0005442822,0.000046840454,0.00024189023,5.623337e-7,0.000009316029,0.015344791],"genre_scores_gemma":[0.9873746,0.000051179144,0.0029673094,0.0003341335,0.000046804962,0.000028538043,0.0000033078352,0.00003753023,0.00915657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995893,0.00036602744,0.0006837099,0.00043088646,0.0015346447,0.0010917444],"domain_scores_gemma":[0.99891037,0.0001559285,0.00027636637,0.00033536844,0.000024657751,0.00029729278],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0032561694,0.0003183722,0.00038646627,0.00048919546,0.00044643387,0.0000822596,0.00049674814,0.00012290207,0.0005838385],"category_scores_gemma":[0.0001266763,0.0002472801,0.000066568595,0.0006360484,0.000294851,0.00047434855,0.00033371043,0.0005315922,0.00005417395],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0030847497,0.0042106756,0.7328618,0.00018379507,0.000170592,0.0031256382,0.009564281,0.15993135,0.0016065126,0.003255309,0.010796868,0.071208395],"study_design_scores_gemma":[0.0018647391,0.0020109385,0.7643056,0.00016557779,0.000008572784,0.00007467554,0.014382972,0.00012969846,0.0112848915,0.0013178943,0.20391306,0.00054138276],"about_ca_topic_score_codex":0.00054224243,"about_ca_topic_score_gemma":0.00020416628,"teacher_disagreement_score":0.1931162,"about_ca_system_score_codex":0.0070298235,"about_ca_system_score_gemma":0.00021599839,"threshold_uncertainty_score":0.999998},"labels":[],"label_agreement":null},{"id":"W2069588494","doi":"10.1016/j.enpol.2010.07.046","title":"The energy implications of Chinese regional disparities","year":2010,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Industrialisation; China; Geography; Economic geography; Energy consumption; Government (linguistics); Development economics; Economic growth; Economy; Political science; Economics; Engineering","score_opus":0.0049347549599649985,"score_gpt":0.24851323689600657,"score_spread":0.24357848193604156,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2069588494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94910216,0.00003704714,0.00017773428,0.0076352465,0.00006275196,0.000030090156,0.0000089267505,0.000020997775,0.042925067],"genre_scores_gemma":[0.9926726,0.000081872466,0.00009599833,0.00073227525,0.00012475769,0.000027764605,0.000007436563,0.000009241738,0.006248007],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99928224,0.0000314188,0.00015491902,0.0001398,0.00015250465,0.00023913391],"domain_scores_gemma":[0.99929065,0.000093012284,0.00006092113,0.0004486417,0.0000042372762,0.00010253582],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009635192,0.00009947042,0.00008101774,0.000020713911,0.00025120613,0.000016893986,0.00030785435,0.00005171036,0.00030969875],"category_scores_gemma":[0.000080546226,0.00006399271,0.0000688096,0.00019158145,0.0007953134,0.00011267467,0.00018518657,0.00007903395,0.000009957069],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013412036,0.00013628365,0.38917598,0.00000201505,0.000011316783,4.1079258e-7,0.00019977655,0.00018472131,0.02572418,0.55948275,0.0046647103,0.020404445],"study_design_scores_gemma":[0.000071748,0.000016361448,0.7697242,3.9458845e-7,0.0000018656457,0.000005805198,0.000024650568,0.000055385866,0.0012155368,0.086178444,0.14262863,0.00007698818],"about_ca_topic_score_codex":0.01603543,"about_ca_topic_score_gemma":0.004787405,"teacher_disagreement_score":0.4733043,"about_ca_system_score_codex":0.00008084334,"about_ca_system_score_gemma":0.000022427195,"threshold_uncertainty_score":0.9905169},"labels":[],"label_agreement":null},{"id":"W2070779803","doi":"10.1016/j.ecolind.2014.06.027","title":"Sinks as limited resources? A new indicator for evaluating anthropogenic material flows","year":2014,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada; Bulgarian National Science Fund; Austrian Science Fund; European Commission","keywords":"Environmental science; Scarcity; Environmental protection","score_opus":0.0170135927414892,"score_gpt":0.29409000297816335,"score_spread":0.2770764102366741,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070779803","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483985,0.0000098523515,0.000337223,0.0005774878,0.000219606,0.00089669187,0.000014015287,0.00012406307,0.0029812383],"genre_scores_gemma":[0.99459493,0.000004195504,0.0034023465,0.0009922204,0.000191562,0.000097846125,0.00003190165,0.000028970851,0.0006560485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974589,0.00027131638,0.00044475813,0.00065400696,0.00044557167,0.0007254461],"domain_scores_gemma":[0.99853075,0.0002946201,0.00023281931,0.00039758996,0.000003247926,0.0005409957],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011438443,0.00027952206,0.00033251746,0.00007918862,0.00044697247,0.00007584066,0.0004911917,0.0003483178,0.027182437],"category_scores_gemma":[0.0011308835,0.00022268972,0.00017378305,0.00028760437,0.00052656076,0.0001674394,0.00042250036,0.00023564439,0.0011625869],"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":[0.0007551315,0.0015675529,0.8586597,0.000047193036,0.00008831262,0.000017230688,0.0023645628,0.00072517316,0.02433374,0.0005038607,0.009423959,0.10151359],"study_design_scores_gemma":[0.0013923685,0.0026677772,0.9271664,0.0000062280847,0.00006831237,0.00001028369,0.00042973284,0.0016736898,0.0058766734,0.0051396936,0.055002082,0.0005667378],"about_ca_topic_score_codex":0.00011647627,"about_ca_topic_score_gemma":0.00003006087,"teacher_disagreement_score":0.10094684,"about_ca_system_score_codex":0.0005170476,"about_ca_system_score_gemma":0.000032798056,"threshold_uncertainty_score":0.99961513},"labels":[],"label_agreement":null},{"id":"W2070921725","doi":"10.1016/s0301-4215(01)00083-0","title":"Aggregating physical intensity indicators: results of applying the composite indicator approach to the Canadian industrial sector","year":2002,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Simon Fraser University","funders":"Office of Energy Efficiency; Division of Materials Research; Natural Resources Canada","keywords":"Energy intensity; Intensity (physics); Efficient energy use; Environmental economics; Aggregate (composite); Energy (signal processing); Econometrics; Composite indicator; Economic indicator; Environmental science; Computer science; Environmental resource management; Economics; Engineering; Statistics; Mathematics","score_opus":0.0241449887454802,"score_gpt":0.2311831147061158,"score_spread":0.2070381259606356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2070921725","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9602525,0.0000119207125,0.000025305075,0.0032252024,0.000050195456,0.00041658749,0.000042018903,0.00001996533,0.035956267],"genre_scores_gemma":[0.9972778,0.0000020794826,0.000072315655,0.0017945764,0.00041155564,0.000079628735,0.00000936647,0.000015252704,0.0003374073],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99839276,0.00016537124,0.00025453122,0.00029761175,0.00040608438,0.00048361422],"domain_scores_gemma":[0.99891174,0.000083155406,0.00015088882,0.00053688715,0.0000039186716,0.0003134188],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038239858,0.00017487748,0.0001894145,0.000102059006,0.00054174906,0.000045321605,0.00059434946,0.000099591925,0.000075330536],"category_scores_gemma":[0.00023813336,0.00010665483,0.00008708417,0.0007763326,0.0005412837,0.00009602969,0.00033703473,0.00031003318,0.000060352264],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00041784073,0.002340361,0.3404736,0.000034895624,0.00032119598,0.00002403539,0.10652658,0.032207333,0.006229242,0.009486618,0.09600574,0.40593255],"study_design_scores_gemma":[0.0024478256,0.00041811992,0.5022308,0.000041486095,0.00008892082,0.000043474447,0.0039308905,0.013336354,0.018149627,0.0010603523,0.45706797,0.0011841469],"about_ca_topic_score_codex":0.3894089,"about_ca_topic_score_gemma":0.025449619,"teacher_disagreement_score":0.4047484,"about_ca_system_score_codex":0.00084694935,"about_ca_system_score_gemma":0.000044213033,"threshold_uncertainty_score":0.9923334},"labels":[],"label_agreement":null},{"id":"W2072774512","doi":"10.4028/www.scientific.net/amr.97-101.2338","title":"A Method of Multi-Environmental Spatial Scales Division in LCA Based on Chinese Region-Specific","year":2010,"lang":"en","type":"article","venue":"Advanced materials research","topic":"Environmental Impact and Sustainability","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":"Concordia University","funders":"Ministry of Science and Technology of the People's Republic of China","keywords":"Scale (ratio); Division (mathematics); Life-cycle assessment; Environmental quality; Environmental science; Environmental impact assessment; Diversity (politics); Space (punctuation); Environmental resource management; Computer science; Geography; Mathematics; Ecology; Cartography","score_opus":0.025577181354741404,"score_gpt":0.36990266344681344,"score_spread":0.34432548209207203,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2072774512","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99587655,0.000009703129,0.0025330298,0.00012104107,0.00013514831,0.0007412066,0.000035887857,0.00001711686,0.0005302862],"genre_scores_gemma":[0.9864301,0.00004592294,0.013214824,0.000025871544,0.000027686932,0.00006484712,0.00002447657,0.00003155418,0.00013473099],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99705815,0.00053715886,0.00040862343,0.00057199923,0.0008350301,0.00058902305],"domain_scores_gemma":[0.9987234,0.00033556827,0.00008819692,0.00068011484,0.000006556098,0.00016619376],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001720879,0.00022028245,0.00030924942,0.00015173842,0.0001484043,0.000033299944,0.00041449504,0.00014046031,0.003082887],"category_scores_gemma":[0.00020331035,0.00017939723,0.00006389022,0.00027617818,0.00072622375,0.00027510393,0.00042813347,0.00041557118,0.00018071683],"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":[0.00034943523,0.0007434377,0.1247586,0.000017847986,0.0000015800701,0.00002139396,0.00012697636,0.0013545116,0.8451842,0.000012740632,0.000012842769,0.027416442],"study_design_scores_gemma":[0.0011214791,0.00027414647,0.7331126,0.00001688666,9.557153e-7,0.0000024187036,0.00011653451,0.0012961939,0.26292187,0.0005329189,0.00043257297,0.00017143878],"about_ca_topic_score_codex":0.0006000479,"about_ca_topic_score_gemma":0.00040158062,"teacher_disagreement_score":0.608354,"about_ca_system_score_codex":0.0003759055,"about_ca_system_score_gemma":0.000010364918,"threshold_uncertainty_score":0.9978284},"labels":[],"label_agreement":null},{"id":"W2074153185","doi":"10.3354/meps11278","title":"Eco2: a simple index of economic-ecological deficits","year":2015,"lang":"en","type":"article","venue":"Marine Ecology Progress Series","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Social Sciences and Humanities Research Council of Canada; MAVA Foundation; Pew Charitable Trusts","keywords":"Ecological footprint; Index (typography); Unit (ring theory); Gross domestic product; Economics; Balance of trade; Ecology; Sustainable development; International trade; Economic growth; Psychology; Computer science","score_opus":0.012538358213047272,"score_gpt":0.2517058675967079,"score_spread":0.2391675093836606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074153185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888929,0.000011755324,0.0000011482538,0.0006176731,0.00012391122,0.00032240502,0.000006448915,0.00004466389,0.009979081],"genre_scores_gemma":[0.99806315,0.0000060932493,0.0007018684,0.0001063774,0.000025012818,0.000067978566,0.000017776243,0.000012094782,0.0009996289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987687,0.00009919985,0.00030193548,0.00030482732,0.000123597,0.00040174866],"domain_scores_gemma":[0.99936175,0.000043028926,0.0001288249,0.00027832412,0.000007643848,0.00018039884],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000341658,0.0001690262,0.00029119884,0.000028577504,0.00007471382,0.000015998588,0.00026388073,0.00014951442,0.0052929195],"category_scores_gemma":[0.00009334815,0.00014805837,0.000059292746,0.00007583501,0.0011866459,0.0003130987,0.0011382203,0.00012142389,0.00025119513],"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":[0.00015197658,0.00026948532,0.99413496,0.000009646157,0.000013136274,0.000017766517,0.00017587536,0.00041423267,0.000009219683,0.00037961427,0.0014261608,0.0029978943],"study_design_scores_gemma":[0.0004827451,0.0008055311,0.9749179,5.538757e-7,0.000009938639,0.000033625234,0.00048684623,0.00017531922,0.0003556838,0.01437576,0.008196325,0.0001597926],"about_ca_topic_score_codex":0.00019463434,"about_ca_topic_score_gemma":0.0012336902,"teacher_disagreement_score":0.019217113,"about_ca_system_score_codex":0.00045177707,"about_ca_system_score_gemma":0.000034628843,"threshold_uncertainty_score":0.9956164},"labels":[],"label_agreement":null},{"id":"W2074597036","doi":"10.4043/21166-ms","title":"Continuous Green House Gas Emission Surveillance, Reporting and Control","year":2011,"lang":"en","type":"article","venue":"Offshore Technology Conference","topic":"Environmental Impact and Sustainability","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":"Shell (Canada)","funders":"","keywords":"Greenhouse gas; Upstream (networking); Downstream (manufacturing); Tracking (education); Production (economics); Efficient energy use; Environmental economics; Process (computing); Control (management); Computer science; Environmental science; Operations management; Operations research; Engineering; Telecommunications","score_opus":0.016871623660655918,"score_gpt":0.22825366006274386,"score_spread":0.21138203640208794,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2074597036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98543036,0.000047518803,0.000523427,0.0005907258,0.000038256978,0.0003099764,0.0000039267434,0.00037185976,0.012683956],"genre_scores_gemma":[0.9982279,0.00003606502,0.00095688645,0.000101677266,0.000008210962,0.00002421477,0.0000012443694,0.000021089865,0.0006227028],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99834967,0.000051508086,0.00050330546,0.0004898145,0.0001660645,0.000439632],"domain_scores_gemma":[0.9988941,0.000032145523,0.0004085428,0.00051045977,0.000015510706,0.00013921762],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005043335,0.00021275268,0.0003416543,0.00006179636,0.00014670161,0.000016439391,0.0002938581,0.00025180553,0.0010682853],"category_scores_gemma":[0.0004811833,0.00018349208,0.000041425643,0.00019129016,0.0010979044,0.00015674929,0.00034431028,0.00027874467,0.00006722546],"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":[0.000032361102,0.00006131604,0.95780325,0.0000071220825,0.000008645029,0.000069095746,0.0002966618,2.8717307e-7,0.007821982,0.00020446494,0.00012761554,0.033567183],"study_design_scores_gemma":[0.0006322749,0.00025849996,0.9704192,0.000014969717,0.000017211198,0.00013144771,0.0008701112,0.00026663608,0.011177145,0.014603363,0.0012617132,0.00034741682],"about_ca_topic_score_codex":0.00064343726,"about_ca_topic_score_gemma":0.00022051398,"teacher_disagreement_score":0.033219766,"about_ca_system_score_codex":0.00009419022,"about_ca_system_score_gemma":0.000015745747,"threshold_uncertainty_score":0.99984485},"labels":[],"label_agreement":null},{"id":"W2075073867","doi":"10.1007/bf02978559","title":"The relative mass-energy-economic (RMEE) method for system boundary selection Part 1: A means to systematically and quantitatively select LCA boundaries","year":2000,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Boundary (topology); Selection (genetic algorithm); Life-cycle assessment; Computer science; Product (mathematics); Service (business); Risk analysis (engineering); Energy (signal processing); Industrial engineering; Energy system; Operations research; Reliability engineering; Process engineering; Production (economics); Engineering; Mathematics; Artificial intelligence; Economics; Business","score_opus":0.010076417405648786,"score_gpt":0.30465417728909094,"score_spread":0.29457775988344215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075073867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.652236,0.00016372558,0.32610002,0.013424878,0.0007086197,0.0007949456,0.00004034187,0.000025134197,0.0065063112],"genre_scores_gemma":[0.97844946,0.000044434233,0.02012534,0.00041239962,0.00016589469,0.000052884232,0.0000018015436,0.000016078287,0.0007317004],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980095,0.00038904822,0.000638657,0.00017931007,0.0005568935,0.00022656056],"domain_scores_gemma":[0.99854493,0.0007777553,0.00034884954,0.00012457004,0.00005629738,0.00014760326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025004365,0.00015282743,0.00023767742,0.000034235538,0.0006653302,0.00048612186,0.0004439575,0.000039689472,0.00020820819],"category_scores_gemma":[0.00013902226,0.000091388094,0.00012386433,0.00006660224,0.00026803734,0.00044389875,0.00008147268,0.00016193118,0.000017420729],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.008867973,0.0011409293,0.08509603,0.00036924766,0.0074591218,0.00006492807,0.018995024,0.28815347,0.008243724,0.42583448,0.035484336,0.120290734],"study_design_scores_gemma":[0.004423737,0.0037818814,0.20729533,0.00058148825,0.0006073439,0.00084260415,0.021760914,0.3656042,0.0012988843,0.078206465,0.3144326,0.0011645833],"about_ca_topic_score_codex":0.00021931459,"about_ca_topic_score_gemma":0.00020007568,"teacher_disagreement_score":0.34762803,"about_ca_system_score_codex":0.0018550273,"about_ca_system_score_gemma":0.00019470924,"threshold_uncertainty_score":0.51172495},"labels":[],"label_agreement":null},{"id":"W2075253242","doi":"10.1007/s11367-015-0853-3","title":"Life cycle inventory data quality issues for bioplastics feedstocks","year":2015,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Institute of Food and Agriculture; Canola Council of Canada","keywords":"Bioplastic; Life cycle inventory; Life-cycle assessment; Data quality; Quality (philosophy); Environmental science; Agriculture; Computer science; Geography; Production (economics); Engineering; Operations management; Waste management; Economics; Metric (unit)","score_opus":0.09076470917539807,"score_gpt":0.40583893580143227,"score_spread":0.3150742266260342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075253242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97314286,0.00013954047,0.006675812,0.017004874,0.001017723,0.0002509497,0.00007277127,0.0000128553465,0.0016826271],"genre_scores_gemma":[0.99367183,0.00004038047,0.0037147566,0.0017242641,0.00053148065,0.0000069806692,0.000025569541,0.000015532045,0.0002692104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974577,0.00016790815,0.000673447,0.00020257475,0.0012713833,0.0002269949],"domain_scores_gemma":[0.99820507,0.00022255677,0.00053200306,0.00047987123,0.00008977062,0.00047075978],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027830217,0.00015046229,0.00022803358,0.00003976534,0.000097567536,0.00011297236,0.0018034242,0.000050841987,0.0003901548],"category_scores_gemma":[0.0015453497,0.00010530998,0.00010645591,0.000066249275,0.0002409324,0.00066708215,0.00093945215,0.00021643036,0.0000344963],"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":[0.0010637552,0.0019572324,0.78336835,0.000028842895,0.0007163372,0.000030470395,0.0020871963,0.054373063,0.0015453923,0.0016087737,0.14322682,0.00999378],"study_design_scores_gemma":[0.004727355,0.0008067278,0.7848119,0.000049976305,0.00015696943,0.00006651073,0.008904025,0.056952637,0.00036405397,0.024659988,0.117899224,0.00060060725],"about_ca_topic_score_codex":0.0003892697,"about_ca_topic_score_gemma":0.00006112188,"teacher_disagreement_score":0.025327586,"about_ca_system_score_codex":0.0008510684,"about_ca_system_score_gemma":0.00028119455,"threshold_uncertainty_score":0.4294416},"labels":[],"label_agreement":null},{"id":"W2075975984","doi":"10.1007/s11998-005-0008-8","title":"Surface and interface characterization of chlorinated polyolefin coated thermoplastic polyolefin","year":2005,"lang":"en","type":"article","venue":"Journal of Coatings Technology and Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Grace (Canada); University of Toronto","funders":"","keywords":"Polyolefin; Materials science; Polypropylene; Thermoplastic; Coating; Composite material; Surface roughness; Thermoplastic elastomer; Polymer chemistry; Thermoplastic polyurethane; Chemical engineering; Polymer; Copolymer; Elastomer","score_opus":0.01461484764200437,"score_gpt":0.30585277042809467,"score_spread":0.2912379227860903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2075975984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99679863,0.00017081192,0.00015576863,0.0025500315,0.000017377843,0.00011938651,0.0000022509096,0.0000109837165,0.00017477665],"genre_scores_gemma":[0.99902076,0.00022847767,0.00034053682,0.000016151855,0.0000106382395,9.583905e-7,5.619056e-7,0.000008168448,0.00037374304],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988646,0.00009943421,0.0003372276,0.00013833847,0.00030506897,0.00025534132],"domain_scores_gemma":[0.9994463,0.000100629724,0.00020841876,0.00011501071,0.000047399015,0.0000822566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010955122,0.00009335365,0.00019968163,0.00020360107,0.00012695111,0.000016180558,0.00018124572,0.00016245861,0.00016841755],"category_scores_gemma":[0.00023076679,0.00007283287,0.000020953741,0.00047508103,0.001128838,0.00024226087,0.00022778896,0.0005307823,0.0000068978766],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009339866,0.000095392636,0.15635729,0.000014726557,0.000008491611,0.000003878282,0.00049587485,0.000027223008,0.8357155,0.000080557424,0.000020407673,0.007087308],"study_design_scores_gemma":[0.00066206185,0.0007961983,0.31313312,0.00006230113,0.000010818084,0.0001311709,0.00097129244,0.00031526355,0.6824344,0.00061415747,0.0007633997,0.00010583166],"about_ca_topic_score_codex":0.000029536628,"about_ca_topic_score_gemma":0.000008705541,"teacher_disagreement_score":0.15677583,"about_ca_system_score_codex":0.00011119602,"about_ca_system_score_gemma":0.00001661755,"threshold_uncertainty_score":0.4159251},"labels":[],"label_agreement":null},{"id":"W2076149297","doi":"10.1016/j.biombioe.2012.11.009","title":"Evaluation of wood pellet application for residential heating in British Columbia based on a streamlined life cycle analysis","year":2013,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":76,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Firewood; Pellets; Pellet; Environmental science; Capital cost; Tonne; Agricultural economics; Life-cycle assessment; Renewable energy; Consumption (sociology); Waste management; Business; Operations management; Engineering; Economics; Production (economics)","score_opus":0.008870903510594517,"score_gpt":0.24129435561785692,"score_spread":0.2324234521072624,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076149297","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986193,0.000021118212,0.0005908612,0.00010888287,0.000008676562,0.0004462672,0.000018179631,0.000006387327,0.00018031803],"genre_scores_gemma":[0.99927413,0.0000032772255,0.00041996277,0.000046960973,0.000011691138,0.00014616486,0.00005270719,0.0000050648487,0.00004005204],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990088,0.00008589182,0.00021008744,0.00024162051,0.00031251583,0.00014111832],"domain_scores_gemma":[0.99965376,0.000035849494,0.00008146463,0.00014325217,0.00001768435,0.000067993344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056102464,0.00005794968,0.00013106057,0.000038713275,0.00006622514,0.000056929173,0.00005898333,0.000055053984,0.00063684594],"category_scores_gemma":[0.000086287546,0.00007458906,0.00005733851,0.00028993835,0.0000845695,0.00009001103,0.00003382937,0.000018970248,0.0000019984134],"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":[0.000019131532,0.00036007195,0.8828793,0.00001877941,0.00003724427,2.6869105e-7,0.000043452284,0.0123138465,0.019501412,0.0000029442454,0.00014267808,0.084680855],"study_design_scores_gemma":[0.0005147069,0.0000898804,0.68911165,0.0000036165102,0.00007381088,9.141569e-8,0.00012222955,0.30884445,0.0008371002,0.00031509047,0.00002225693,0.000065138556],"about_ca_topic_score_codex":0.19623041,"about_ca_topic_score_gemma":0.13438496,"teacher_disagreement_score":0.29653057,"about_ca_system_score_codex":0.00015508597,"about_ca_system_score_gemma":0.000015935235,"threshold_uncertainty_score":0.88141024},"labels":[],"label_agreement":null},{"id":"W2076622192","doi":"10.4028/www.scientific.net/amm.71-78.4943","title":"The Empirical Research on the Estimation of the Construction CO&lt;sub&gt;2&lt;/sub&gt; Emission Based on EPA Non-Road Modeling","year":2011,"lang":"en","type":"article","venue":"Applied Mechanics and Materials","topic":"Environmental Impact and Sustainability","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 Alberta","funders":"","keywords":"Estimation; Process (computing); Engineering; Sustainable development; Empirical research; Greenhouse gas; Environmental engineering; Environmental science; Computer science; Systems engineering; Mathematics; Statistics","score_opus":0.07362370476990752,"score_gpt":0.31096679753557244,"score_spread":0.2373430927656649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2076622192","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924259,0.000004093833,0.0035254287,0.0003134713,0.00012674835,0.00080643845,0.000012835079,0.000009454547,0.0027756125],"genre_scores_gemma":[0.9992844,0.000047278485,0.00040115046,0.0001327211,0.000019303134,0.00007519769,0.0000049485498,0.000014994651,0.000020046667],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983705,0.00021715586,0.00029232656,0.00028702215,0.00053432735,0.0002986646],"domain_scores_gemma":[0.9991505,0.0001507297,0.00011776236,0.0004942963,0.000011082884,0.000075606105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023205006,0.00015425048,0.00015530942,0.0000232605,0.0006800138,0.000056686462,0.00026370704,0.000116394986,0.00024947125],"category_scores_gemma":[0.00008829446,0.000077781755,0.00004018571,0.00012296661,0.00022554747,0.000054870023,0.00021398028,0.00014968195,0.00003688739],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00047187673,0.000165023,0.000057190406,0.000026209258,0.000008885356,6.5736697e-7,0.0006962188,0.0016971137,0.9532884,0.029632786,0.00025953812,0.013696128],"study_design_scores_gemma":[0.00034841747,0.00019643625,0.001850948,0.000033166172,0.000017303975,0.0000019312174,0.00066149933,0.07324312,0.8567579,0.06658676,0.0001495465,0.00015298567],"about_ca_topic_score_codex":0.000046444933,"about_ca_topic_score_gemma":0.00000524569,"teacher_disagreement_score":0.09653049,"about_ca_system_score_codex":0.00015086198,"about_ca_system_score_gemma":0.000021367063,"threshold_uncertainty_score":0.5230185},"labels":[],"label_agreement":null},{"id":"W2080656355","doi":"10.1007/s001680200076","title":"A comparison of impact measures from hybrid and synthetic techniques: A case study of the Foothills Model Forest","year":2002,"lang":"en","type":"article","venue":"The Annals of Regional Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Foothills; Robustness (evolution); Purchasing; Econometrics; Computer science; Data collection; Regional science; Operations research; Economics; Statistics; Geography; Mathematics; Operations management; Cartography","score_opus":0.1336496108356061,"score_gpt":0.37155203410356985,"score_spread":0.23790242326796376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2080656355","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985627,0.00013989756,0.000068710484,0.0004648534,0.000006306194,0.00041343746,0.000014097689,0.0000052643886,0.00032476336],"genre_scores_gemma":[0.9997663,0.000027286527,0.00010613771,0.00006127467,0.0000034620164,0.0000070195083,1.0060983e-7,0.000004323607,0.000024129515],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838996,0.000102272075,0.00027991278,0.00023034796,0.0007829511,0.00021453341],"domain_scores_gemma":[0.9989698,0.00013157375,0.00024089823,0.00054744136,0.000026085503,0.00008420604],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0008611709,0.00011554636,0.00021587976,0.000030159295,0.00021697924,0.0000119026745,0.0006260063,0.000020551,0.00005093093],"category_scores_gemma":[0.00013204625,0.00005990936,0.000083698935,0.00029809296,0.0032845212,0.00020470048,0.0003898533,0.00009528281,8.9326505e-7],"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":[0.00007853723,0.0021253258,0.91517323,0.00001489529,0.000030336154,0.0000130437575,0.018618926,0.023491552,0.027504554,0.0000700103,0.0007923272,0.012087283],"study_design_scores_gemma":[0.0004553854,0.0016105915,0.7639808,0.00008848511,0.00007492077,0.0002491759,0.014818225,0.11984585,0.0876262,0.010833534,0.00007065337,0.00034614504],"about_ca_topic_score_codex":0.0053042336,"about_ca_topic_score_gemma":0.00031479722,"teacher_disagreement_score":0.15119238,"about_ca_system_score_codex":0.00004935857,"about_ca_system_score_gemma":0.000017049502,"threshold_uncertainty_score":0.999428},"labels":[],"label_agreement":null},{"id":"W2081102993","doi":"10.1016/j.envdev.2015.04.001","title":"A comparison of trends and magnitudes of household carbon emissions between China, Canada and UK","year":2015,"lang":"en","type":"article","venue":"Environmental Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China; Australian Government; National Science Foundation","keywords":"China; Hydropower; Electricity; Greenhouse gas; Production (economics); Geography; Environmental science; Economics; Engineering","score_opus":0.021266488013026844,"score_gpt":0.24508400435842892,"score_spread":0.2238175163454021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2081102993","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975917,0.00018601537,0.000008887983,0.00005980175,0.00002544817,0.00013405317,0.000031029667,0.000006796593,0.001956289],"genre_scores_gemma":[0.9981119,0.00001518854,0.0012496467,0.000016242962,0.000006125876,0.0000073752885,0.000028281329,0.000014260659,0.0005509733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846387,0.00004770578,0.0004301712,0.00029404587,0.00050567515,0.0002585418],"domain_scores_gemma":[0.99928194,0.000025122275,0.00014890691,0.00019451197,8.880968e-7,0.00034860708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021162708,0.00020861039,0.00034072477,0.000039529856,0.0000710863,0.000006183116,0.0001286828,0.000063473555,0.0002629065],"category_scores_gemma":[0.000011855068,0.00018991715,0.00002156957,0.0000876911,0.00043405252,0.000071135146,0.00047529986,0.00010935336,0.0000010548013],"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":[0.000015664815,0.00012210861,0.97995627,0.000013572552,0.000018911804,0.000002483894,0.0020991405,0.00010461313,0.0030568687,0.0000011998591,0.00016816596,0.014441006],"study_design_scores_gemma":[0.0004217818,0.00010839159,0.9739557,0.0000099378485,0.000021918999,0.00000320795,0.0011568744,0.000041389238,0.022850072,0.000033569755,0.0011987048,0.00019848859],"about_ca_topic_score_codex":0.06573933,"about_ca_topic_score_gemma":0.016987666,"teacher_disagreement_score":0.04875167,"about_ca_system_score_codex":0.00063437124,"about_ca_system_score_gemma":0.00004740004,"threshold_uncertainty_score":0.9479517},"labels":[],"label_agreement":null},{"id":"W2082287534","doi":"10.1016/j.jclepro.2014.06.067","title":"Building consensus in life cycle assessment: the potential for a Canadian product category rules standard to enhance credibility in greenhouse gas emissions estimates for Alberta's oil sands","year":2014,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Comparability; Oil sands; Greenhouse gas; Credibility; Life-cycle assessment; Process (computing); Product (mathematics); Environmental economics; Quality (philosophy); Fossil fuel; Unconventional oil; Environmental resource management; Engineering; Environmental science; Waste management; Production (economics); Computer science; Economics; Asphalt; Mathematics","score_opus":0.007972690109838351,"score_gpt":0.2870592349202115,"score_spread":0.27908654481037315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2082287534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9835803,0.00003696112,0.0021323888,0.013237294,0.00029035858,0.0005762599,0.000010407188,0.000005593148,0.00013044996],"genre_scores_gemma":[0.98976034,0.000011626596,0.009623507,0.00012258117,0.00025716855,0.00004026435,0.0000027997835,0.000019152681,0.00016254188],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998262,0.00014277313,0.0005441327,0.00035214305,0.00028187563,0.0004170793],"domain_scores_gemma":[0.9989934,0.00016963483,0.00022041908,0.00029592798,0.000041987143,0.00027862165],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0027360267,0.00015854226,0.00026635756,0.00011425762,0.0002498929,0.00004765001,0.0002085394,0.00005642098,0.000056041],"category_scores_gemma":[0.0027686432,0.000117353746,0.000089506786,0.00016226758,0.00017116607,0.00025676805,0.000049838367,0.00024022318,0.0000016274008],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0018902436,0.0006535672,0.1593802,0.0002182955,0.00004398321,0.000008870696,0.0028768629,0.59768504,0.03621958,0.000078798475,0.0056221425,0.19532242],"study_design_scores_gemma":[0.0025809614,0.0018669157,0.87060714,0.00020701846,0.00015292157,0.0001579985,0.0028819528,0.03473647,0.0304004,0.021821348,0.033730373,0.00085648306],"about_ca_topic_score_codex":0.020119183,"about_ca_topic_score_gemma":0.06839883,"teacher_disagreement_score":0.71122694,"about_ca_system_score_codex":0.0010970549,"about_ca_system_score_gemma":0.00017155232,"threshold_uncertainty_score":0.9864059},"labels":[],"label_agreement":null},{"id":"W2084658837","doi":"10.5547/issn0195-6574-ej-vol28-no1-7","title":"How Malleable are the Greenhouse Gas Emission Intensities of the G7 Nations?","year":2007,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Greenhouse gas; Context (archaeology); Fossil fuel; Natural resource economics; Electricity; Relevance (law); Climate change; Emission intensity; Production (economics); Economics; Climate policy; Environmental science; Environmental economics; Geography; Macroeconomics; Political science; Ecology","score_opus":0.009221925296835578,"score_gpt":0.20958461618125646,"score_spread":0.20036269088442088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084658837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98292094,0.00010065733,0.00057120284,0.011386793,0.00014130674,0.000057694793,9.072361e-7,0.000007097421,0.0048133936],"genre_scores_gemma":[0.98786354,0.00008871745,0.0000497215,0.00046999185,0.00008579879,0.0000012194935,1.5014069e-7,0.000008958569,0.011431899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989374,0.0001484958,0.00017098534,0.00008464156,0.00041233964,0.00024610374],"domain_scores_gemma":[0.99926704,0.00012550669,0.00019419893,0.00032854755,0.000014065733,0.00007061857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009886165,0.00009815306,0.00008611648,0.000018892693,0.0007711042,0.000057431334,0.0004964638,0.00003968727,0.0002524956],"category_scores_gemma":[0.00018295641,0.000039378512,0.00010716143,0.00017588309,0.00056503626,0.00018481068,0.00026701478,0.000251483,0.0000035105109],"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":[0.00046741607,0.0007124125,0.8179336,0.000024895091,0.00016447503,0.00005679573,0.012708594,0.017998412,0.057582133,0.004521424,0.03660142,0.051228434],"study_design_scores_gemma":[0.00046862534,0.00012478292,0.8522618,0.0000500476,0.00004703037,0.0005188465,0.040382363,0.00043881367,0.054833047,0.013181915,0.03746738,0.00022537149],"about_ca_topic_score_codex":0.0002592752,"about_ca_topic_score_gemma":0.0004887367,"teacher_disagreement_score":0.05100306,"about_ca_system_score_codex":0.00023472698,"about_ca_system_score_gemma":0.000011260581,"threshold_uncertainty_score":0.5930788},"labels":[],"label_agreement":null},{"id":"W2084701419","doi":"10.1115/es2010-90395","title":"Resource Accounting and Waste Impact: Limitations of Exergy as a Sustainability Tool","year":2010,"lang":"en","type":"article","venue":"ASME 2010 4th International Conference on Energy Sustainability, Volume 1","topic":"Environmental Impact and Sustainability","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 Waterloo","funders":"","keywords":"Exergy; Sustainability; Context (archaeology); Environmental economics; Process (computing); Computer science; Risk analysis (engineering); Resource (disambiguation); Natural resource; Management science; Process engineering; Engineering; Business; Economics; Ecology","score_opus":0.01666044219852108,"score_gpt":0.2724655657692269,"score_spread":0.25580512357070584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084701419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9666806,0.000008149957,0.0002724671,0.0045672487,0.00024894055,0.00044607738,0.000034810353,0.00006445127,0.027677272],"genre_scores_gemma":[0.98674184,0.000024819423,0.000277563,0.00024615577,0.00009421394,0.00010271837,0.000050627965,0.000038308015,0.012423749],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99646944,0.00020600585,0.000742363,0.00092499296,0.0009162306,0.0007409405],"domain_scores_gemma":[0.9975163,0.00034958046,0.00036375425,0.00097139354,0.00046642308,0.00033255815],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010921215,0.00046366305,0.00042406478,0.00018975005,0.000294671,0.00017436466,0.00083722896,0.00029461144,0.004198206],"category_scores_gemma":[0.0038727305,0.0004362381,0.00023167723,0.0003375372,0.001641264,0.0009224385,0.0009272799,0.00062576926,0.000031934516],"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":[0.0007109143,0.0017042143,0.74039185,0.00011026013,0.00013108588,0.000043018204,0.0024490117,0.0042282403,0.006783187,0.112450324,0.002077442,0.12892044],"study_design_scores_gemma":[0.0011116505,0.0010160704,0.7068403,0.000025225849,0.00006114566,0.00005208775,0.015624524,0.02282447,0.00228963,0.20558478,0.04343427,0.001135884],"about_ca_topic_score_codex":0.008954753,"about_ca_topic_score_gemma":0.0011718362,"teacher_disagreement_score":0.12778455,"about_ca_system_score_codex":0.0014285139,"about_ca_system_score_gemma":0.00037198464,"threshold_uncertainty_score":0.99980897},"labels":[],"label_agreement":null},{"id":"W2084725398","doi":"10.1111/j.1530-9290.2011.00337.x","title":"An Ecological Economic Critique of the Use of Market Information in Life Cycle Assessment Research","year":2011,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":122,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Life-cycle assessment; Sustainability; Industrial ecology; Compromise; Work (physics); Environmental economics; Scale (ratio); Value (mathematics); Economics; Environmental resource management; Business; Production (economics); Ecology; Computer science; Sociology; Microeconomics; Engineering","score_opus":0.11568871897590106,"score_gpt":0.3508061249986008,"score_spread":0.23511740602269976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2084725398","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973309,8.9088275e-7,0.000007472626,0.00033616528,0.00018903056,0.00024053731,0.0000065020067,0.0000010024116,0.0018874676],"genre_scores_gemma":[0.9994614,0.0000123595955,0.0003747204,0.00009886108,0.000031259457,0.000003603757,4.5117562e-7,0.0000027994122,0.000014505704],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978233,0.0009261755,0.0007567712,0.00007255115,0.0002084234,0.00021276112],"domain_scores_gemma":[0.99895215,0.0002990157,0.00043799644,0.00018096187,0.000023336146,0.000106558306],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029237512,0.00006759038,0.00023872596,0.000096313626,0.00004498962,0.00000978655,0.00034398396,0.00022362985,0.0047983313],"category_scores_gemma":[0.00087407994,0.00004679756,0.00007227984,0.000117019554,0.0004947821,0.00092114,0.00018823828,0.000552844,0.0000050101075],"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":[0.00030653347,0.00064629904,0.98906755,0.00000365611,0.000010369499,0.000004118349,0.0004572191,0.0053012716,0.00019707718,0.00011242834,0.0017647393,0.0021287608],"study_design_scores_gemma":[0.0007603674,0.0011430747,0.9944044,0.0000058769097,0.0000060736447,0.000008810966,0.00083674904,0.0008617526,0.00052848697,0.0008474217,0.00055358006,0.00004341615],"about_ca_topic_score_codex":0.00075350626,"about_ca_topic_score_gemma":0.00047819666,"teacher_disagreement_score":0.0053368625,"about_ca_system_score_codex":0.0008087023,"about_ca_system_score_gemma":0.00021784578,"threshold_uncertainty_score":0.9961114},"labels":[],"label_agreement":null},{"id":"W2085311495","doi":"10.1016/j.envpol.2010.12.031","title":"Quantification of net carbon flux from plastic greenhouse vegetable cultivation: A full carbon cycle analysis","year":2011,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"Carbon sink; Environmental science; Greenhouse gas; Carbon cycle; Temperate climate; Subtropics; Carbon flux; Arable land; Carbon fibers; Sink (geography); Carbon sequestration; Carbon dioxide; Agronomy; Climate change; Ecology; Biology; Ecosystem; Geography; Agriculture; Mathematics","score_opus":0.01163119423013602,"score_gpt":0.2029200126274463,"score_spread":0.19128881839731027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085311495","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484235,0.0000838404,0.0008929308,0.000028686472,0.000106916,0.00032296925,0.00007891764,0.000047850077,0.0035955117],"genre_scores_gemma":[0.99878937,0.000021497515,0.00057446846,0.00003007685,0.00003478366,0.000026908778,0.00020008675,0.000026625083,0.0002961633],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978952,0.00014418771,0.00050426845,0.00056723185,0.00051193294,0.00037722397],"domain_scores_gemma":[0.998905,0.000036623278,0.00028529414,0.00060686376,0.0000019993029,0.00016421282],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022487638,0.00027612425,0.00032176683,0.00010859202,0.0001176512,0.000011843388,0.00024062535,0.0001530584,0.0030753068],"category_scores_gemma":[0.000031261618,0.00028034425,0.00017130474,0.00044024742,0.0004949381,0.00031921195,0.00019201163,0.00015023991,0.00012619386],"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":[0.00014626286,0.0006048613,0.7237986,0.000006510484,0.00014147046,0.0000036070041,0.001395135,0.008096718,0.2650673,0.000016085589,0.00001319579,0.0007102453],"study_design_scores_gemma":[0.0004058178,0.00015374807,0.919918,0.0000050313593,0.00034451697,0.0000013196365,0.0005269089,0.016550628,0.06133996,0.00041603512,0.00006731021,0.0002707083],"about_ca_topic_score_codex":0.010209669,"about_ca_topic_score_gemma":0.00046518806,"teacher_disagreement_score":0.20372735,"about_ca_system_score_codex":0.0008056542,"about_ca_system_score_gemma":0.000007113286,"threshold_uncertainty_score":0.9999649},"labels":[],"label_agreement":null},{"id":"W2085814330","doi":"10.1016/j.renene.2014.03.063","title":"Implications of integrating electricity supply dynamics into life cycle assessment: A case study of renewable distributed generation","year":2014,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Polytechnique Montréal; Université de Sherbrooke","funders":"","keywords":"Life-cycle assessment; Electricity; Renewable energy; Electricity generation; Environmental economics; Mains electricity; Photovoltaic system; Environmental impact assessment; Environmental science; Production (economics); Computer science; Engineering; Economics; Power (physics); Microeconomics; Electrical engineering","score_opus":0.007708043049674333,"score_gpt":0.2539849442988336,"score_spread":0.24627690124915927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2085814330","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.885789,0.000014283224,0.11129721,0.000054177795,0.00002808504,0.000198677,0.000021755806,0.000024739222,0.0025721064],"genre_scores_gemma":[0.9977308,0.000012694024,0.0017966194,0.000038197893,0.000026695323,0.000055194294,0.00013466793,0.000018339253,0.00018678384],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99823,0.00025769684,0.0005522744,0.00037276524,0.00028872152,0.000298553],"domain_scores_gemma":[0.9988317,0.00009937536,0.00030008535,0.000575371,0.000028194723,0.00016529798],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046128003,0.00019047094,0.0003154046,0.000060573922,0.00024278052,0.000024612782,0.00022933469,0.00007676753,0.00021478],"category_scores_gemma":[0.00016424658,0.00018005027,0.000071462055,0.0006254206,0.00012984622,0.0002556682,0.00020592407,0.00008537768,9.466808e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011549691,0.001170603,0.22365026,0.000017372726,0.000029167759,0.0000071711197,0.0004052497,0.7363261,0.031690456,0.00027580615,0.0002074857,0.0062088077],"study_design_scores_gemma":[0.00095408375,0.0010716486,0.04865813,0.000009870308,0.00008345857,0.00005452095,0.005534067,0.91868323,0.02104847,0.0032945499,0.00024566503,0.00036230785],"about_ca_topic_score_codex":0.33120367,"about_ca_topic_score_gemma":0.12523055,"teacher_disagreement_score":0.20597313,"about_ca_system_score_codex":0.00074708083,"about_ca_system_score_gemma":0.000048848724,"threshold_uncertainty_score":0.8907317},"labels":[],"label_agreement":null},{"id":"W2086460044","doi":"10.4296/cwrj2601107","title":"Effect of Irrigation Development on Greenhouse Gas Emissions in Alberta and Saskatchewan","year":2001,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"Agriculture and Agri-Food Canada","keywords":"Greenhouse gas; Irrigation; Environmental science; Hectare; Agriculture; Carbon dioxide; Carbon dioxide equivalent; Water resource management; Environmental engineering; Agronomy; Geography","score_opus":0.00586784322779231,"score_gpt":0.1997068467981818,"score_spread":0.19383900357038947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086460044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99660206,0.00009231872,0.0000025111867,0.00040842913,0.000036662706,0.00028256405,0.0000048530383,0.0000103420825,0.0025602619],"genre_scores_gemma":[0.9980578,0.000079626916,0.00008136368,0.00011745575,0.000043014763,0.000013870467,0.000009396192,0.00003599639,0.0015615184],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976855,0.00033730382,0.00050332904,0.00037121712,0.00016564403,0.00093703513],"domain_scores_gemma":[0.9980927,0.00012018621,0.00012960851,0.00027901263,0.000012042412,0.0013664294],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009463232,0.000306998,0.00036651696,0.00033286153,0.000461093,0.000084178835,0.00033017216,0.00014525672,0.00045072887],"category_scores_gemma":[0.00014527023,0.00022930579,0.000078103396,0.00022381778,0.0005052051,0.00026403164,0.000073923664,0.00037246087,0.000018021663],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018279588,0.000046526326,0.48763454,0.00009010042,0.000027731254,0.0005515589,0.4543483,0.0014980157,0.0020360572,4.800946e-7,0.0000103676475,0.053573538],"study_design_scores_gemma":[0.0017465806,0.0024990053,0.24948491,0.00082654785,0.00006679631,0.0017785067,0.004212697,0.00066483027,0.04094047,0.0013720512,0.69521713,0.0011904619],"about_ca_topic_score_codex":0.4672718,"about_ca_topic_score_gemma":0.9402885,"teacher_disagreement_score":0.69520676,"about_ca_system_score_codex":0.0019772793,"about_ca_system_score_gemma":0.0000073736946,"threshold_uncertainty_score":0.9350819},"labels":[],"label_agreement":null},{"id":"W2086743034","doi":"10.1021/es703145t","title":"Building a Model Based on Scientific Consensus for Life Cycle Impact Assessment of Chemicals: The Search for Harmony and Parsimony","year":2008,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":326,"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":"Citation; Library science; Harmony (color); Reuse; Computer science; Operations research; Engineering; Art","score_opus":0.0200620968143519,"score_gpt":0.3137794024974896,"score_spread":0.2937173056831377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2086743034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873475,0.000036262463,0.009457907,0.0014112297,0.000044524437,0.0013472942,0.000088205124,0.00003818063,0.00022893662],"genre_scores_gemma":[0.9820685,0.0000098879,0.01748729,0.0001885991,0.000008162603,0.00014167764,0.0000052528358,0.000019888015,0.00007077891],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99730545,0.00003492409,0.00033876544,0.0008345793,0.00068198965,0.00080428313],"domain_scores_gemma":[0.9986959,0.00022767918,0.0001388569,0.0006845895,0.000007279985,0.0002456867],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001410965,0.00025432755,0.00027758308,0.00020496875,0.0012161268,0.00003973584,0.00074461236,0.0001335748,0.00012091498],"category_scores_gemma":[0.00018392675,0.00018570793,0.00013242586,0.0006125419,0.012955106,0.00017902978,0.00050928467,0.00021874938,0.0000058882265],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109281405,0.0006107781,0.183813,0.000016379221,0.000011850372,0.0000022814359,0.00029797907,0.11773844,0.69239634,0.0004934361,0.00032672635,0.0041834656],"study_design_scores_gemma":[0.0010589567,0.0007337014,0.13246831,0.000009506578,0.000023024597,0.000013379941,0.0005743332,0.73660755,0.12525481,0.0025827007,0.00035903876,0.00031469628],"about_ca_topic_score_codex":0.00002917932,"about_ca_topic_score_gemma":0.0000018906933,"teacher_disagreement_score":0.61886907,"about_ca_system_score_codex":0.001023154,"about_ca_system_score_gemma":0.00012949803,"threshold_uncertainty_score":0.9897311},"labels":[],"label_agreement":null},{"id":"W2088631128","doi":"10.1111/j.1530-9290.2011.00335.x","title":"Hour-by-Hour Analysis for Increased Accuracy of Greenhouse Gas Emissions for a Low-Energy Condominium Design","year":2011,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Greenhouse gas; Carbon footprint; Environmental science; Electricity; Work (physics); Environmental engineering; Engineering","score_opus":0.054310521676424243,"score_gpt":0.2712766791447809,"score_spread":0.21696615746835662,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088631128","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746338,0.000016250162,0.024134697,0.00023558122,0.00019379592,0.0005565711,0.00006803221,0.0000064596425,0.00015480348],"genre_scores_gemma":[0.99592185,0.000026617783,0.003555251,0.0001593154,0.00012067171,0.000036542846,0.000007845593,0.000019436631,0.00015244684],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99793845,0.00030652375,0.0009260697,0.00021255415,0.00020944832,0.00040693817],"domain_scores_gemma":[0.9969646,0.0013076542,0.0011255054,0.00023082427,0.000048247417,0.00032321707],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014907803,0.00019065793,0.0007069434,0.00016341478,0.00012296744,0.000010951449,0.000406066,0.00034405422,0.0018678847],"category_scores_gemma":[0.0023239783,0.00015412105,0.00049913296,0.00031548136,0.0002927883,0.00027238438,0.0000999068,0.00021480578,0.0000021695307],"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":[0.022458525,0.005519835,0.7873178,0.000036589736,0.0027182286,0.000055858436,0.0016446358,0.0049947132,0.062507674,0.00012660492,0.08869123,0.023928298],"study_design_scores_gemma":[0.08155534,0.040026534,0.3123495,0.000111068126,0.010426304,0.0002122843,0.0061044754,0.007812047,0.4919827,0.017335676,0.029628865,0.0024552206],"about_ca_topic_score_codex":0.0004903372,"about_ca_topic_score_gemma":0.00016668538,"teacher_disagreement_score":0.4749683,"about_ca_system_score_codex":0.0003905958,"about_ca_system_score_gemma":0.00016298362,"threshold_uncertainty_score":0.99904454},"labels":[],"label_agreement":null},{"id":"W2088958234","doi":"10.1016/j.biombioe.2014.08.023","title":"Fibre use, net calorific value, and consumption of forest-derived bioenergy in British Columbia, Canada","year":2014,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; Government of British Columbia","funders":"Ministry of Forests, Lands and Natural Resource Operations; Pacific Institute for Climate Solutions","keywords":"Bioenergy; Biomass (ecology); Heat of combustion; Environmental science; Agricultural economics; Energy consumption; Production (economics); Biofuel; Agroforestry; Forestry; Agricultural science; Pulp and paper industry; Geography; Agronomy; Economics; Waste management; Engineering; Ecology; Biology","score_opus":0.006419824763783475,"score_gpt":0.1808675136619314,"score_spread":0.17444768889814793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2088958234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994716,0.00013673105,0.000023723622,0.000071806666,0.000056353892,0.000092677124,0.00003380547,0.000008184575,0.00010508627],"genre_scores_gemma":[0.9991253,0.0001742103,0.00017301958,0.000114729984,0.000012516687,0.000007294117,0.000024566049,0.000009337753,0.00035900384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895847,0.00007639788,0.00022472408,0.0003021025,0.000170759,0.00026757264],"domain_scores_gemma":[0.9995756,0.000047727477,0.000069711365,0.00015462862,0.000004246304,0.00014808985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013281626,0.00010383295,0.0001893068,0.000017564758,0.000085613465,0.00008269946,0.0000764604,0.000087024986,0.00012682489],"category_scores_gemma":[0.000033001164,0.0001330392,0.000022156659,0.00010689945,0.0004278837,0.00016255777,0.00013899452,0.000041761275,5.9765847e-7],"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":[0.0000081164335,0.000037861057,0.9778209,0.000026819678,0.00000477718,0.000008487826,0.000017340008,0.00005029329,0.013967937,0.000034625034,0.0003518131,0.007671055],"study_design_scores_gemma":[0.00040164514,0.00010641152,0.9893964,0.000014904224,0.000006149596,0.000013289656,0.00007390766,0.0006600309,0.0012669292,0.00017255713,0.0077230805,0.00016468072],"about_ca_topic_score_codex":0.9839113,"about_ca_topic_score_gemma":0.99430615,"teacher_disagreement_score":0.012701008,"about_ca_system_score_codex":0.0001587782,"about_ca_system_score_gemma":0.000021400345,"threshold_uncertainty_score":0.5425181},"labels":[],"label_agreement":null},{"id":"W2089982970","doi":"10.1021/es3018682","title":"Model to Investigate Energy and Greenhouse Gas Emissions Implications of Refining Petroleum: Impacts of Crude Quality and Refinery Configuration","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy; University of Calgary","funders":"Natural Resources Canada; Canadian Natural Resources Limited","keywords":"Refinery; Refining (metallurgy); Oil refinery; Greenhouse gas; Environmental science; Waste management; Petroleum; Environmental engineering; Engineering; Chemistry; Geology","score_opus":0.024557753309801273,"score_gpt":0.28443997973694723,"score_spread":0.259882226427146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2089982970","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964876,0.00012274171,0.0007072953,0.0012253379,0.000014939343,0.000118467404,0.000027202324,0.000032703654,0.0012637053],"genre_scores_gemma":[0.99618787,0.00012078961,0.0033340515,0.0001978544,0.0000049789933,0.00002425788,0.0000042620586,0.000012045195,0.00011388856],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9982334,0.000044976343,0.00043417624,0.00042968633,0.00033824253,0.000519551],"domain_scores_gemma":[0.99879885,0.000039795625,0.00022190514,0.00049813546,0.000003338143,0.0004379866],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006872986,0.00018696804,0.00025604636,0.00021991589,0.0002661184,0.000010825691,0.00030802793,0.00012815816,0.00010196365],"category_scores_gemma":[0.00016667602,0.00017121776,0.00003086922,0.0005125443,0.004028902,0.00059133867,0.00079363765,0.0001170446,0.000005713791],"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":[0.000008024069,0.00010329757,0.38985842,0.000004272869,0.0000020025009,1.2749258e-7,0.00033012428,0.00019007632,0.6026595,0.0013670935,0.000012470638,0.0054645436],"study_design_scores_gemma":[0.00020565282,0.0001992843,0.76520336,0.000010676715,0.000014228887,0.000017141088,0.0006519289,0.00039389572,0.23019338,0.00246766,0.00043900133,0.00020377201],"about_ca_topic_score_codex":0.0003764929,"about_ca_topic_score_gemma":0.000065642664,"teacher_disagreement_score":0.37534496,"about_ca_system_score_codex":0.00035641188,"about_ca_system_score_gemma":0.000022344298,"threshold_uncertainty_score":0.99868155},"labels":[],"label_agreement":null},{"id":"W2090181085","doi":"10.1111/j.1530-9290.2012.00459.x","title":"Estimating Material and Energy Flows in Life Cycle Inventory with Statistical Models","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Univariate; Kriging; Estimator; Computer science; Econometrics; Multivariate statistics; Variance (accounting); Data mining; Statistics; Mathematics; Economics","score_opus":0.02042559533345724,"score_gpt":0.2426171316301107,"score_spread":0.22219153629665345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090181085","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99821645,0.000012047029,0.0006461778,0.00014595399,0.00035868524,0.000051503877,0.0000035976866,0.0000027174078,0.0005628648],"genre_scores_gemma":[0.99631274,0.0000038250796,0.0032135984,0.00013328227,0.00030666945,0.000002850539,0.0000012396025,0.00000820789,0.000017559612],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998869,0.00017907126,0.00037358882,0.000092762166,0.00016714787,0.00031843502],"domain_scores_gemma":[0.9993801,0.000085778986,0.0001825391,0.00006650909,0.0000041023213,0.0002809581],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00066624326,0.00010043513,0.00024113027,0.00004515081,0.000045886532,0.000014822309,0.00008739828,0.00014101806,0.0010657782],"category_scores_gemma":[0.00019118059,0.00007695722,0.000019297207,0.00006320768,0.00020103132,0.00050236087,0.00010287031,0.0002307745,0.0000034756695],"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":[0.00061689026,0.00035375488,0.947184,0.0000047417275,0.000020580632,0.000055867513,0.000518589,0.040697392,0.00032010535,0.0003057103,0.00058229786,0.009340014],"study_design_scores_gemma":[0.009071805,0.003484604,0.88098514,0.000054890243,0.00012359796,0.0007099003,0.0017319499,0.090728156,0.0004502971,0.010472744,0.0014758821,0.00071101787],"about_ca_topic_score_codex":0.00027362947,"about_ca_topic_score_gemma":0.00015651232,"teacher_disagreement_score":0.0661989,"about_ca_system_score_codex":0.00035307673,"about_ca_system_score_gemma":0.00004693592,"threshold_uncertainty_score":0.9998474},"labels":[],"label_agreement":null},{"id":"W2090189841","doi":"10.1021/es902555a","title":"Life Cycle Emissions and Cost of Producing Electricity from Coal, Natural Gas, and Wood Pellets in Ontario, Canada","year":2009,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":228,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Kementerian Sumber Asli dan Alam Sekitar; Ministry of Natural Resources","keywords":"Cofiring; Coal; Tonne; Greenhouse gas; Natural gas; Waste management; Environmental science; Cost of electricity by source; Environmental engineering; Combined cycle; Engineering; Life-cycle assessment; Pellets; Electricity generation; Economics; Power (physics); Production (economics)","score_opus":0.0030087015522902672,"score_gpt":0.19089446368982466,"score_spread":0.18788576213753438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090189841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974597,0.00025311948,0.000009499672,0.0012626762,0.000037198748,0.0003943345,0.000008924955,0.000019087965,0.0005554492],"genre_scores_gemma":[0.99912286,0.000060027007,0.00038497025,0.00029398003,0.0000043374193,0.000007785306,0.0000044186568,0.000006184338,0.00011542208],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797463,0.000029010622,0.00028938,0.0007014769,0.0004310286,0.0005744844],"domain_scores_gemma":[0.99921405,0.000032086624,0.00010457316,0.00035579715,0.0000012865543,0.00029222644],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027694379,0.00020544519,0.00025325204,0.00012853048,0.00026376225,0.000017823579,0.00036465272,0.0001022775,0.0005603452],"category_scores_gemma":[0.0001530719,0.00019127934,0.000018330948,0.00045821848,0.002001293,0.0003414607,0.0004743095,0.00040929703,0.000004122777],"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":[0.000018439247,0.00016306015,0.8362558,0.0000012964913,0.000002118742,0.000013727865,0.00045943315,0.00020216018,0.15109922,0.0000117716145,0.00007590224,0.0116971135],"study_design_scores_gemma":[0.0003563443,0.00013914335,0.96794194,0.0000084131325,0.0000064804885,0.000016191296,0.0008233893,0.00052384526,0.028406437,0.0009293124,0.0006397726,0.00020873344],"about_ca_topic_score_codex":0.6170332,"about_ca_topic_score_gemma":0.6293247,"teacher_disagreement_score":0.13168618,"about_ca_system_score_codex":0.002065714,"about_ca_system_score_gemma":0.00016015419,"threshold_uncertainty_score":0.7800145},"labels":[],"label_agreement":null},{"id":"W2090944614","doi":"10.1002/er.1676","title":"Greenhouse gas emission intensity factors for marginal electricity generation in Canada","year":2010,"lang":"en","type":"article","venue":"International Journal of Energy Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Greenhouse gas; Electricity generation; Environmental science; Electricity; Intensity (physics); Emission intensity; Engineering; Physics; Electrical engineering; Thermodynamics; Geology; Power (physics); Optics","score_opus":0.03154703335638588,"score_gpt":0.319112962150384,"score_spread":0.2875659287939981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2090944614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99796426,0.0000072306843,0.00027065378,0.000825863,0.00036748673,0.000063474385,0.000005213443,0.0000016444661,0.0004942004],"genre_scores_gemma":[0.99895406,0.000029616862,0.00028955823,0.00007410898,0.00019623559,0.0000034581738,0.000008310937,0.000008311348,0.00043635952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981295,0.000085651554,0.00030572675,0.00014758737,0.0010465425,0.0002849966],"domain_scores_gemma":[0.99926597,0.00018660886,0.00010549479,0.00010785895,0.00016773502,0.00016635006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009703391,0.00008515566,0.00012328365,0.00013560374,0.000079803955,0.000036670994,0.00045491892,0.000054323096,0.00058694574],"category_scores_gemma":[0.0007971029,0.00006911129,0.000058063015,0.0001513913,0.000100526326,0.00027275918,0.00014005623,0.00046464553,0.0000014174886],"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":[0.00038287565,0.00022029028,0.87476015,0.0000022370489,0.00002071757,0.000081449376,0.0001263104,0.0012618119,0.10426469,0.00015334769,0.0072308523,0.0114952875],"study_design_scores_gemma":[0.0012199744,0.00038573562,0.77861935,0.000012073053,0.0000054532984,0.00010985774,0.00045077887,0.012464387,0.18088044,0.0046823933,0.020939454,0.00023010047],"about_ca_topic_score_codex":0.498667,"about_ca_topic_score_gemma":0.76321656,"teacher_disagreement_score":0.26454955,"about_ca_system_score_codex":0.0022032126,"about_ca_system_score_gemma":0.00034076886,"threshold_uncertainty_score":0.64266443},"labels":[],"label_agreement":null},{"id":"W2091007763","doi":"10.5539/jsd.v5n6p1","title":"Analysis of Energy Productivity and Determinant Factors: A Case Study of China’s Provinces","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Productivity; Investment (military); Incentive; China; Economics; Total factor productivity; Estimation; Energy conservation; Energy (signal processing); Resource (disambiguation); Sustainable development; Natural resource economics; Capital (architecture); Technological change; Human capital; Environmental economics; Business; Economic growth; Microeconomics; Statistics; Geography; Macroeconomics; Computer science; Ecology","score_opus":0.009261168823932905,"score_gpt":0.2386674093190625,"score_spread":0.2294062404951296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091007763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99938583,0.00011967967,0.00008549806,0.000014330639,0.00002919528,0.00025190104,8.7482357e-7,0.0000025310835,0.00011013855],"genre_scores_gemma":[0.9992916,0.000007763404,0.00033941178,0.0000029042171,0.00001120387,0.000005802043,5.739953e-7,0.000007645195,0.00033308778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998145,0.00013839005,0.0006889168,0.00016400608,0.0004853758,0.00037834214],"domain_scores_gemma":[0.99884677,0.00004414901,0.00066988636,0.00019583668,0.00004798561,0.00019536402],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012842263,0.0001722338,0.0005123086,0.00026788012,0.00012539265,0.000014018405,0.00014564686,0.00004380055,0.00009840422],"category_scores_gemma":[0.0001180692,0.00012376036,0.00008834441,0.00059392705,0.00017781778,0.000754281,0.00030854743,0.00010112425,1.3577396e-7],"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":[0.000054800887,0.0019839276,0.9608723,0.000065508175,0.00032440704,0.00041605515,0.03180159,0.00029371234,0.00030958117,0.0000076053484,0.000007675928,0.0038628604],"study_design_scores_gemma":[0.00028661708,0.00043232145,0.87982,0.000005067262,0.0003125778,0.00017142802,0.114307806,0.0000205131,0.0042297174,0.000016343272,0.00027486376,0.00012273867],"about_ca_topic_score_codex":0.0027526338,"about_ca_topic_score_gemma":0.00039514864,"teacher_disagreement_score":0.08250622,"about_ca_system_score_codex":0.0006504577,"about_ca_system_score_gemma":0.00008375493,"threshold_uncertainty_score":0.5046801},"labels":[],"label_agreement":null},{"id":"W2091248063","doi":"10.4296/cwrj3103157","title":"Comparative Greenhouse Gas Emission Intensities from Irrigated and Dryland Agricultural Activities in Canada","year":2006,"lang":"en","type":"article","venue":"Canadian Water Resources Journal / Revue canadienne des ressources hydriques","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"BIOCAP Canada","keywords":"Greenhouse gas; Environmental science; Irrigation; Hectare; Agriculture; Production (economics); Carbon sequestration; Agroforestry; Agronomy; Geography; Carbon dioxide; Economics","score_opus":0.006884354613259353,"score_gpt":0.1747276910016685,"score_spread":0.16784333638840915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2091248063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968866,0.0004266515,8.5049794e-7,0.000502199,0.00007934765,0.00021099807,0.0000958569,0.0000184613,0.0017790237],"genre_scores_gemma":[0.99848473,0.00007670821,0.000053146417,0.00017151974,0.00012757612,0.000009261169,0.00004732676,0.000028768914,0.0010009328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99744713,0.0002576831,0.00048762118,0.00043789897,0.00019774525,0.0011719198],"domain_scores_gemma":[0.9983637,0.000087575725,0.00013927094,0.00022348094,0.000025145086,0.0011608416],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002495179,0.00039168922,0.0004958229,0.00017641147,0.0006378459,0.00025006913,0.0003348873,0.0001210145,0.0004423379],"category_scores_gemma":[0.000035949328,0.0002864137,0.000069163776,0.0001753111,0.000679614,0.00052288553,0.000101655576,0.0005197591,0.0000047356916],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000943754,0.000030143876,0.6992884,0.00003351422,0.000052861753,0.0014776131,0.28691,0.0032137637,0.007281355,4.2707774e-7,0.000331268,0.0012862465],"study_design_scores_gemma":[0.0006867068,0.00016611957,0.8672251,0.00022727819,0.000046052544,0.00076357095,0.02610689,0.0007075408,0.014346794,0.0018656664,0.08696721,0.0008910405],"about_ca_topic_score_codex":0.99922174,"about_ca_topic_score_gemma":0.9999162,"teacher_disagreement_score":0.2608031,"about_ca_system_score_codex":0.0065419176,"about_ca_system_score_gemma":0.000022525555,"threshold_uncertainty_score":0.9999588},"labels":[],"label_agreement":null},{"id":"W2092169836","doi":"10.1353/cpp.2012.0019","title":"Promoting Pollution Prevention in Small Businesses: Costs and Benefits of the “Enviroclub” Initiative","year":2012,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Profitability index; Business; Government (linguistics); Value (mathematics); Order (exchange); Political science; Environmental economics; Environmental planning; Environmental resource management; Geography; Economics; Finance","score_opus":0.023787570738973016,"score_gpt":0.24081007407815005,"score_spread":0.21702250333917705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092169836","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9903738,0.000094608455,0.0000037251098,0.0041587385,0.000030394736,0.00032204707,0.000020845437,0.0000047370313,0.0049910867],"genre_scores_gemma":[0.9991896,0.000014780178,0.00002920229,0.0005729378,0.000040186515,0.000014855212,0.0000050213575,0.00000830808,0.00012507556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990315,0.00010061805,0.00016213645,0.00013206346,0.00009531964,0.00047835367],"domain_scores_gemma":[0.99939007,0.000015273572,0.00007813428,0.0001771068,0.000004759477,0.000334689],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035337478,0.00009765959,0.00009277814,0.00011234972,0.000126418,0.00001995096,0.00014127228,0.00006874468,0.00014181038],"category_scores_gemma":[0.0003800408,0.00008141883,0.00002579451,0.0005323058,0.00025313444,0.000540729,0.00013049394,0.000095654825,0.000009623444],"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":[0.0000014627702,0.000058938214,0.9650922,0.000011974854,0.0000028907004,2.4064755e-7,0.0018547631,0.000014315294,0.00015663655,0.0016995129,0.000044938035,0.031062149],"study_design_scores_gemma":[0.00015354724,0.000014945508,0.9969972,0.000014720644,0.000003323862,0.000005860414,0.0002856029,0.000035685105,0.00027992035,0.00058073725,0.001545546,0.00008290874],"about_ca_topic_score_codex":0.14376527,"about_ca_topic_score_gemma":0.29706913,"teacher_disagreement_score":0.15330385,"about_ca_system_score_codex":0.0018298401,"about_ca_system_score_gemma":0.00020061845,"threshold_uncertainty_score":0.86193645},"labels":[],"label_agreement":null},{"id":"W2092527896","doi":"10.1007/s11367-015-0869-8","title":"Consensus building on the development of a stress-based indicator for LCA-based impact assessment of water consumption: outcome of the expert workshops","year":2015,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"National Institute of Advanced Industrial Science and Technology","keywords":"Consumption (sociology); Relevance (law); Environmental resource management; Work (physics); Environmental science; Environmental planning; Engineering; Political science; Sociology","score_opus":0.05844607870379433,"score_gpt":0.3887502910793493,"score_spread":0.33030421237555496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2092527896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898889,0.000018189692,0.003804431,0.0054182364,0.000251044,0.00042856776,0.000033479704,0.0000031989384,0.00015396244],"genre_scores_gemma":[0.99300486,0.0000017517581,0.0064770277,0.00042661236,0.000040659375,0.000021376973,0.000003859618,0.000012111635,0.000011747948],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969364,0.00023204314,0.0010193536,0.00013264861,0.0014767905,0.00020278734],"domain_scores_gemma":[0.9978385,0.0005899143,0.0010138393,0.00032420494,0.00010898058,0.00012454494],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023970734,0.00017147727,0.00029839744,0.00006398655,0.0000983384,0.00002713813,0.0009646773,0.000049050843,0.000464431],"category_scores_gemma":[0.00017648426,0.00007516805,0.00027490247,0.00006118576,0.00043798497,0.00007778209,0.00022033932,0.00021716508,0.0000017011231],"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":[0.00043642367,0.00086312834,0.902851,0.00002188608,0.00026935476,0.0000019999989,0.00094763923,0.08270668,0.010461983,0.00015938081,0.00032741664,0.00095311005],"study_design_scores_gemma":[0.0020478277,0.0003327571,0.91767025,0.00012394263,0.00004750548,0.0000047228114,0.0016849058,0.0075315833,0.06975854,0.00042633334,0.00023643207,0.00013517798],"about_ca_topic_score_codex":0.000046607078,"about_ca_topic_score_gemma":0.0000160017,"teacher_disagreement_score":0.0751751,"about_ca_system_score_codex":0.0011604882,"about_ca_system_score_gemma":0.0004073476,"threshold_uncertainty_score":0.50851935},"labels":[],"label_agreement":null},{"id":"W2093053961","doi":"10.1002/ep.670190205","title":"Life cycle engineering case study: Automobile fender designs","year":2000,"lang":"en","type":"article","venue":"Environmental Progress","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":53,"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":"Fender; Life-cycle assessment; Production (economics); Automotive industry; Energy consumption; Life-cycle cost analysis; Engineering; Environmental science; Automotive engineering; Reliability engineering","score_opus":0.009916693933193449,"score_gpt":0.23778779227965066,"score_spread":0.22787109834645722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2093053961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996437,0.00013695822,0.000034956967,0.00007338808,0.00006832592,0.0011940692,0.000014357248,0.00017710347,0.0018638441],"genre_scores_gemma":[0.9973639,0.000013564977,0.00071258773,0.00016829254,0.000056779038,0.0002076177,0.000011131723,0.0000657407,0.001400374],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99751145,0.00012593626,0.00038479565,0.0007040312,0.0005463704,0.00072744116],"domain_scores_gemma":[0.9986123,0.00003528975,0.00006179151,0.0006350709,5.787785e-7,0.000655012],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00032836208,0.0004022635,0.0002718029,0.00003336335,0.00033835933,0.000074465446,0.00031319176,0.00011052853,0.044028033],"category_scores_gemma":[0.000015513728,0.00038901652,0.000121935846,0.00015679946,0.00045803914,0.0005561834,0.0003043861,0.00028529437,0.0022723977],"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":[0.000075240176,0.004382885,0.8442788,0.000017420727,0.00008671892,0.006614985,0.0043683467,0.022814745,0.00079912227,0.0000025911024,0.00061928516,0.115939826],"study_design_scores_gemma":[0.003615387,0.0017555064,0.9271599,0.000015654428,0.00017756916,0.0041428055,0.014626358,0.02564268,0.0012288328,0.00009734011,0.01935402,0.0021839598],"about_ca_topic_score_codex":0.0002756376,"about_ca_topic_score_gemma":0.000016338981,"teacher_disagreement_score":0.11375587,"about_ca_system_score_codex":0.0006626619,"about_ca_system_score_gemma":0.000009025306,"threshold_uncertainty_score":0.9998562},"labels":[],"label_agreement":null},{"id":"W2097858905","doi":"10.1177/0956247810392270","title":"Cities and greenhouse gas emissions: moving forward","year":2011,"lang":"en","type":"article","venue":"Environment and Urbanization","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":496,"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":"Greenhouse gas; Per capita; Metropolitan area; Carbon dioxide equivalent; Agricultural economics; Natural resource economics; Consumption (sociology); Tonne; Megacity; Carbon footprint; Business; Geography; Environmental science; Economic growth; Environmental protection; Economics; Economy; Population","score_opus":0.010375384101327116,"score_gpt":0.18676617629617592,"score_spread":0.1763907921948488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2097858905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99219924,0.00020200305,0.0016011705,0.000070997674,0.000022735248,0.00020248479,0.0000024539654,0.000036477366,0.005662415],"genre_scores_gemma":[0.9952293,0.0006551272,0.0016045112,0.00011112019,0.000016444572,0.000011155297,0.000008264487,0.000018726567,0.002345333],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914753,0.000037347618,0.00015614426,0.00028374518,0.00016685747,0.00020834373],"domain_scores_gemma":[0.9996138,0.000015804106,0.00005252129,0.00016888959,8.198463e-7,0.00014813896],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013402409,0.00014782499,0.000104886814,0.000023119945,0.00020434115,0.00002206876,0.00006545528,0.00006623023,0.0032176538],"category_scores_gemma":[0.000022086775,0.00013341416,0.000019781004,0.000052082934,0.000296266,0.00037476956,0.0002408391,0.00006978787,0.000059767197],"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":[0.000016602668,0.00008476892,0.983994,0.000010298329,0.000006471923,0.000004679241,0.0030384094,0.000032334938,0.0012834773,0.00019790466,0.000349487,0.010981577],"study_design_scores_gemma":[0.00035014757,0.00017308343,0.9851882,0.000007937695,0.00003122279,0.000013150041,0.0010861963,0.0007996582,0.0015364402,0.0038937116,0.006640187,0.00028009],"about_ca_topic_score_codex":0.00012961385,"about_ca_topic_score_gemma":0.00000824722,"teacher_disagreement_score":0.010701487,"about_ca_system_score_codex":0.000109544184,"about_ca_system_score_gemma":0.0000017947689,"threshold_uncertainty_score":0.99769354},"labels":[],"label_agreement":null},{"id":"W2100050548","doi":"10.5539/jsd.v4n3p152","title":"The Carbon Footprint of an East African Forestry Enterprise","year":2011,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Council for Air and Stream Improvement; World Bank Group","keywords":"Carbon footprint; Renewable energy; Afforestation; Greenhouse gas; Coal; Environmental science; Natural resource economics; Fossil fuel; Electricity; Forestry; Business; Agricultural economics; Environmental protection; Agroforestry; Geography; Economics; Waste management; Ecology","score_opus":0.010411761948624284,"score_gpt":0.20651292611022679,"score_spread":0.1961011641616025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2100050548","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98903835,0.000053909658,0.00006997877,0.00007131598,0.00006738327,0.00021485705,2.3311875e-7,0.0000055279847,0.010478468],"genre_scores_gemma":[0.99644727,0.000016703354,0.0023532477,0.000016527094,0.000017273893,0.000008088261,2.9706388e-7,0.000013212588,0.0011273661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981295,0.00009196613,0.0006382142,0.00014464697,0.0005184934,0.00047719173],"domain_scores_gemma":[0.9989423,0.000028640017,0.0004445241,0.0002828059,0.000055801185,0.0002459337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012841754,0.0001579269,0.00021115452,0.000058898626,0.00019492426,0.000025365887,0.0005304952,0.000054200547,0.0001386746],"category_scores_gemma":[0.00010131508,0.00010448997,0.000084863656,0.0001835876,0.00031609923,0.00019291807,0.00035315508,0.00019936662,0.0000022438132],"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":[0.0014522508,0.0020892215,0.8532243,0.00013353364,0.00019965344,0.0010673321,0.070263445,0.000556751,0.0029188264,0.00065845763,0.000090661604,0.06734559],"study_design_scores_gemma":[0.0004426836,0.00047527705,0.89239264,0.0000142370345,0.000020689486,0.000062458115,0.082150765,0.00003934593,0.013139398,0.002551831,0.008528935,0.0001817202],"about_ca_topic_score_codex":0.00028969528,"about_ca_topic_score_gemma":0.000039429597,"teacher_disagreement_score":0.06716387,"about_ca_system_score_codex":0.0010324046,"about_ca_system_score_gemma":0.00015392796,"threshold_uncertainty_score":0.42609775},"labels":[],"label_agreement":null},{"id":"W2101684812","doi":"10.1088/1748-9326/9/7/074001","title":"Environmental footprints show China and Europe’s evolving resource appropriation for soybean production in Mato Grosso, Brazil","year":2014,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":86,"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":"Deforestation (computer science); Environmental science; Carbon footprint; Fertilizer; Ton; Hectare; Agriculture; Agroforestry; Geography; Environmental protection; Greenhouse gas; Forestry; Agronomy; Biology; Ecology","score_opus":0.012814951413531464,"score_gpt":0.26788692063683484,"score_spread":0.2550719692233034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2101684812","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940367,0.000061132436,0.00046902214,0.0024565784,0.00007414784,0.0015891173,0.000018139175,0.00003783973,0.0012573756],"genre_scores_gemma":[0.99695647,0.000053839784,0.0009651866,0.00042482626,0.0001298298,0.00020087665,0.00006440292,0.000077072495,0.0011275029],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954904,0.00065131165,0.00044740515,0.0011698032,0.0011356764,0.001105422],"domain_scores_gemma":[0.99873257,0.00019282676,0.00011009089,0.0006382192,0.000001465552,0.00032482136],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003042262,0.0003733489,0.00029047698,0.0001703613,0.00058775884,0.00012559425,0.00041172694,0.00013125727,0.000745088],"category_scores_gemma":[0.00041209385,0.00036955325,0.000089249304,0.0002316596,0.0013373065,0.0007124749,0.000819663,0.0005946857,0.0002818538],"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":[0.00020191827,0.0005565863,0.6589867,0.00005173516,0.000014940743,0.000010102534,0.0017155082,0.0008285268,0.3084833,0.000021460415,0.0026338531,0.02649536],"study_design_scores_gemma":[0.00094044965,0.0002407999,0.97609144,0.000019831283,0.0000091360835,0.0000163642,0.0007438149,0.0022443677,0.008440449,0.00046337795,0.010375654,0.0004142819],"about_ca_topic_score_codex":0.00012703567,"about_ca_topic_score_gemma":0.000033084572,"teacher_disagreement_score":0.31710476,"about_ca_system_score_codex":0.0017078941,"about_ca_system_score_gemma":0.000005402439,"threshold_uncertainty_score":0.99987566},"labels":[],"label_agreement":null},{"id":"W2102172489","doi":"10.1139/l04-086","title":"Policy making for greening the concrete industry in Canada: a systems thinking approach","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fly ash; Tonne; Clinker (cement); Production (economics); Product (mathematics); Kyoto Protocol; Environmental economics; Service (business); Natural resource; Process (computing); Modular design; Civil engineering; Cement; Environmental science; Engineering; Waste management; Portland cement; Greenhouse gas; Business; Computer science; Economics; Ecology","score_opus":0.008163574625436928,"score_gpt":0.19635499641069976,"score_spread":0.18819142178526282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102172489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98774177,0.0005011492,0.0054271435,0.001260704,0.0002250592,0.00034943304,0.000009222141,0.0000057334532,0.0044798106],"genre_scores_gemma":[0.99898916,0.0000017601457,0.0005089588,0.00022775913,0.00020519095,0.0000069339894,4.9554353e-7,0.000016851964,0.000042914082],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9988968,0.000025387695,0.00031244266,0.000096883545,0.0002019653,0.00046655347],"domain_scores_gemma":[0.9994058,0.00006337377,0.000106269705,0.00012520367,0.0000071890177,0.00029213607],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061261887,0.00012070406,0.0001693374,0.000098074044,0.00011066817,0.00005170516,0.000318572,0.00009949644,0.000055920405],"category_scores_gemma":[0.00016907079,0.00009929418,0.000048697068,0.0002064015,0.00004384807,0.00023269486,0.000026796031,0.00062839076,5.717857e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000024297924,0.0000010486974,0.109731056,0.000022013577,0.000011223556,0.000024606366,0.0009633503,0.8880312,0.000060255603,0.00025390516,0.0003491185,0.0005498285],"study_design_scores_gemma":[0.0013160908,0.00009286444,0.48132485,0.00036946964,0.000046302677,0.0008210194,0.00888819,0.45550376,0.00010421878,0.00019440269,0.050535142,0.00080368976],"about_ca_topic_score_codex":0.7987044,"about_ca_topic_score_gemma":0.9789943,"teacher_disagreement_score":0.43252742,"about_ca_system_score_codex":0.0049993717,"about_ca_system_score_gemma":0.00094766304,"threshold_uncertainty_score":0.99882025},"labels":[],"label_agreement":null},{"id":"W2102296341","doi":"10.5539/mas.v7n10p20","title":"Evaluating CO2 Emissions Associated With International Outsourcing in Manufacturing Supply Chains","year":2013,"lang":"en","type":"article","venue":"Modern Applied Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Shahid Bahonar University of Kerman; University of New South Wales","keywords":"Outsourcing; Business; China; Greenhouse gas; Production (economics); Manufacturing; Supply chain; Industrial organization; Knowledge process outsourcing; Economics; Marketing","score_opus":0.017016156803634993,"score_gpt":0.27081087050239505,"score_spread":0.25379471369876005,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102296341","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9763431,0.000001767725,0.0032865708,0.00028055557,0.000033595992,0.00044217045,0.0000019586728,0.00004153476,0.01956878],"genre_scores_gemma":[0.9974904,8.219585e-7,0.0015074548,0.00018998767,0.000009255308,0.0000742625,0.000004231019,0.000012008171,0.0007115935],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99777514,0.000026438955,0.0002143879,0.0005222415,0.0009053332,0.0005564566],"domain_scores_gemma":[0.9993856,0.000054745302,0.000088612585,0.0002707639,0.000008046727,0.00019225565],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009251281,0.00015813582,0.00012931465,0.00007751818,0.0003292388,0.00012900989,0.00055831386,0.000045625908,0.0014840524],"category_scores_gemma":[0.000112959584,0.0001280815,0.000022066177,0.0002849811,0.00063867064,0.00056604575,0.00043900093,0.00020929502,0.00012261981],"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":[0.000016768825,0.00021191964,0.36920565,0.0000033186743,0.0000050419817,0.000005083604,0.0047639473,0.07060843,0.5295102,0.0000430015,0.00003097949,0.025595663],"study_design_scores_gemma":[0.0003657035,0.000028410826,0.7010662,0.0000144279575,0.0000025650631,0.0000018538614,0.00075210596,0.2809984,0.015261114,0.0013151189,0.000011992704,0.00018212314],"about_ca_topic_score_codex":0.0003848606,"about_ca_topic_score_gemma":0.00012711238,"teacher_disagreement_score":0.5142491,"about_ca_system_score_codex":0.0012552128,"about_ca_system_score_gemma":0.000034296012,"threshold_uncertainty_score":0.99942875},"labels":[],"label_agreement":null},{"id":"W2102731763","doi":"10.1109/eicccc.2006.277203","title":"Life Cycle Assessment of Transportation Fuels and GHGenius","year":2006,"lang":"en","type":"article","venue":"","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":"Natural Resources Canada","funders":"","keywords":"Life-cycle assessment; Product (mathematics); Product lifecycle; Raw material; Interdependence; Environmental impact assessment; Product life-cycle management; Process (computing); Environmental economics; Engineering; Environmental science; Computer science; Risk analysis (engineering); New product development; Production (economics); Business; Economics","score_opus":0.004173852083333057,"score_gpt":0.23550543617805605,"score_spread":0.231331584094723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102731763","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9561312,0.000012835599,0.00082030735,0.00012713863,0.000009822329,0.000111271096,0.0000056721597,0.000011858074,0.042769875],"genre_scores_gemma":[0.99733204,0.0000049279856,0.0020454584,0.00008452676,0.0000055902487,0.000003959772,0.00000851911,0.000003927333,0.00051108043],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994551,0.000015186109,0.00014782969,0.00012357625,0.00014946847,0.00010886663],"domain_scores_gemma":[0.9997819,0.000012277365,0.000034180066,0.000093687915,0.0000013529449,0.00007659372],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000097252756,0.000060458515,0.000077746336,0.000008504014,0.000033929173,0.0000058717415,0.00003980073,0.000026787882,0.0022153114],"category_scores_gemma":[0.000004178404,0.00005132812,0.000024145405,0.000052426865,0.00013915286,0.00014575939,0.000013459621,0.000030345986,0.000007747964],"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":[0.0000040136547,0.00012750895,0.9844803,0.000011101121,0.0000024260848,0.0000010909434,0.000075616656,0.0017220529,0.011126207,0.0008916688,0.00022204616,0.0013359521],"study_design_scores_gemma":[0.0001681625,0.000041035844,0.993978,7.720236e-7,0.0000067780693,3.327314e-7,0.00015595286,0.0006831497,0.0024943256,0.002039494,0.0003701942,0.00006176446],"about_ca_topic_score_codex":0.0014333379,"about_ca_topic_score_gemma":0.00028264578,"teacher_disagreement_score":0.042258795,"about_ca_system_score_codex":0.000062011895,"about_ca_system_score_gemma":0.000005869904,"threshold_uncertainty_score":0.9986968},"labels":[],"label_agreement":null},{"id":"W2103321313","doi":"10.1002/aic.14551","title":"A novel hybrid feedstock to liquids and electricity process: Process modeling and exergoeconomic life cycle optimization","year":2014,"lang":"en","type":"article","venue":"AIChE Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Syncrude; Northwestern University","keywords":"Process engineering; Raw material; Exergy; Cost of electricity by source; Biomass (ecology); Waste management; Engineering; Coal; Process simulation; Process (computing); Environmental science; Electricity generation; Computer science; Chemistry; Ecology","score_opus":0.005919442851692633,"score_gpt":0.23020991210731026,"score_spread":0.22429046925561763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2103321313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8814498,0.000033201883,0.117346995,0.00047318268,0.000020085175,0.0001699075,0.0000010164329,0.000014646478,0.00049115525],"genre_scores_gemma":[0.9962751,0.000040604158,0.002941561,0.00061164214,0.000059244463,0.000008859425,8.459304e-7,0.000015700769,0.00004640388],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990064,0.00003244867,0.00024149094,0.00025256356,0.00016829507,0.00029881787],"domain_scores_gemma":[0.99938524,0.00002071831,0.00008251009,0.000103265964,0.000011468753,0.00039680305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005241355,0.00014312602,0.00015839357,0.000043596923,0.00026574673,0.00010517219,0.00012565222,0.00004489875,0.00014643522],"category_scores_gemma":[0.00018868285,0.0001290649,0.00002366679,0.00009537199,0.00006764032,0.00057226,0.00009275084,0.00019774731,0.000009621443],"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":[0.000076865326,0.00009225994,0.037057072,0.000021249554,0.000008181742,6.419588e-7,0.000985822,0.95705265,0.0017645978,0.000003629868,0.000036843838,0.0029001867],"study_design_scores_gemma":[0.00055626105,0.00027283988,0.02472649,0.000013270603,0.000020584921,0.00013836609,0.00030813078,0.9717692,0.0009166896,0.0010162783,0.00002953826,0.00023234721],"about_ca_topic_score_codex":0.00006421405,"about_ca_topic_score_gemma":0.000013847766,"teacher_disagreement_score":0.11482533,"about_ca_system_score_codex":0.00019221315,"about_ca_system_score_gemma":0.000023968896,"threshold_uncertainty_score":0.52631134},"labels":[],"label_agreement":null},{"id":"W2104216934","doi":"10.5539/jsd.v3n4p97","title":"Comparison of Energy Efficiency of Developed Regions in China at Similar Economic Level between 1995 and 2007","year":2010,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Efficient energy use; China; Energy (signal processing); Energy mix; Economic efficiency; High energy; Economics; Geography; Market economy; Engineering; Electricity generation; Engineering physics; Mathematics; Statistics","score_opus":0.01732126101255578,"score_gpt":0.2658621519428098,"score_spread":0.24854089093025405,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104216934","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99778223,0.00008645816,0.00041052574,0.00016968013,0.00006581222,0.00015801807,0.0000029775838,0.0000028025515,0.0013214812],"genre_scores_gemma":[0.9948467,0.000036361565,0.003972105,0.000016391416,0.000017685948,0.0000032925163,0.0000029748487,0.000012829534,0.0010916832],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786127,0.000060247938,0.0011021082,0.00020011784,0.00034273037,0.00043351104],"domain_scores_gemma":[0.99883866,0.000088479304,0.0006572972,0.00018797224,0.000030111622,0.00019745102],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011646604,0.00019142496,0.0005340913,0.00019730143,0.00012690315,0.000012172035,0.00031485246,0.000118051925,0.0004066276],"category_scores_gemma":[0.000109634726,0.00016987498,0.00006589052,0.00020515655,0.00037218604,0.0003100083,0.00044752474,0.0002625986,0.0000034763993],"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":[0.00006743472,0.00024898734,0.9911167,0.00005893467,0.000023360106,0.00003707275,0.0031617135,0.00080039666,0.001959473,0.0002058634,0.0004613669,0.0018587136],"study_design_scores_gemma":[0.0006576669,0.00014069286,0.9626192,0.000018648048,0.000014548437,0.000022078419,0.0037529054,0.00006462438,0.02314449,0.0005684886,0.008814246,0.0001824436],"about_ca_topic_score_codex":0.00040548993,"about_ca_topic_score_gemma":0.00030271895,"teacher_disagreement_score":0.028497515,"about_ca_system_score_codex":0.0012656191,"about_ca_system_score_gemma":0.00025648848,"threshold_uncertainty_score":0.69273007},"labels":[],"label_agreement":null},{"id":"W2104943474","doi":"10.1061/9780784413517.051","title":"Carbon Footprint of Panelized Construction: An Empirical and Comparative Study","year":2014,"lang":"en","type":"article","venue":"Construction Research Congress 2014","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Northern Alberta Institute of Technology; University of Alberta; Alberta Environment and Protected Areas","funders":"","keywords":"Carbon footprint; Greenhouse gas; Framing (construction); Prefabrication; Sustainability; Embodied energy; Engineering; Empirical research; Ecological footprint; Environmental economics; Environmental science; Civil engineering","score_opus":0.08477756767874897,"score_gpt":0.3988973877322328,"score_spread":0.3141198200534838,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2104943474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989583,0.000018408964,0.0000624796,0.00010915698,0.00017535756,0.00067492295,0.0000034356171,0.00002996467,0.009343241],"genre_scores_gemma":[0.9986423,0.000013596872,0.0011287685,0.000007899547,0.00003383085,0.000037871334,0.0000024661351,0.000008309864,0.00012495345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996737,0.0012970393,0.00034909256,0.0005077905,0.0007353006,0.000373758],"domain_scores_gemma":[0.998824,0.00019477215,0.00010830508,0.00049586425,0.00007541291,0.000301636],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016917997,0.00016544567,0.00033521495,0.00010476024,0.00025050563,0.00005454194,0.00021512718,0.00009267133,0.0006616054],"category_scores_gemma":[0.00018679725,0.00014692337,0.000037660924,0.00023944349,0.004111274,0.000145033,0.00036272942,0.0003543127,0.000021368089],"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":[0.00014210278,0.00025247285,0.970173,0.000014003851,0.000019800485,0.0000024557417,0.0011453426,0.000033599783,0.0025368026,0.00046982372,0.000042732645,0.02516784],"study_design_scores_gemma":[0.0017530948,0.0013967047,0.9597882,0.000011046875,0.000021357959,0.00006316791,0.024385007,0.0024572117,0.0048006256,0.0028257158,0.0022337849,0.00026405],"about_ca_topic_score_codex":0.00091914204,"about_ca_topic_score_gemma":0.00025110124,"teacher_disagreement_score":0.02490379,"about_ca_system_score_codex":0.00018349875,"about_ca_system_score_gemma":0.000027315446,"threshold_uncertainty_score":0.998599},"labels":[],"label_agreement":null},{"id":"W2105336999","doi":"10.5539/ibr.v3n3p111","title":"Energy Use in Agriculture Sector: Input-Output Analysis","year":2010,"lang":"en","type":"article","venue":"International Business Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Universiti Tenaga Nasional; Tenaga Nasional Berhad","keywords":"Social connectedness; Agriculture; Electricity; Economic sector; Coal; Energy sector; Business; Natural resource economics; Input–output model; Energy (signal processing); Fossil fuel; Economics; Agricultural economics; Economy; Macroeconomics; Mathematics; Engineering; Statistics; Geography; Waste management","score_opus":0.03113454899739442,"score_gpt":0.3197592676033022,"score_spread":0.28862471860590777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2105336999","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98553646,0.000004936233,0.00025763983,0.0009595201,0.00016478951,0.000090808055,0.000014072834,0.000015529187,0.012956246],"genre_scores_gemma":[0.99187773,0.00001898693,0.00022530212,0.00009611814,0.000085640386,0.000029697807,0.00006346234,0.000008674839,0.0075943586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997942,0.00010296681,0.00020115655,0.0003703341,0.0010202996,0.00036329712],"domain_scores_gemma":[0.9993291,0.00014092066,0.000033335768,0.00029961744,0.00008159457,0.00011541476],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005761983,0.00011453328,0.00012814041,0.00032286296,0.00009220895,0.00015241036,0.0005279753,0.00011479123,0.0065198126],"category_scores_gemma":[0.00038237448,0.0000918269,0.00006939127,0.0019732956,0.00032889648,0.00061960076,0.00050670974,0.0004415961,0.00017138365],"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":[0.000028346498,0.00022807605,0.9768011,0.0000019787844,0.000036286616,0.000034782166,0.00010896245,0.001721974,0.017510395,0.00015829409,0.0015048747,0.0018649034],"study_design_scores_gemma":[0.00015775886,0.000007786856,0.95916295,0.0000021000783,0.0000058997557,0.0000037261652,0.00006011216,0.0007878096,0.0009032577,0.0005557931,0.038246326,0.00010647738],"about_ca_topic_score_codex":0.01783758,"about_ca_topic_score_gemma":0.023913119,"teacher_disagreement_score":0.03674145,"about_ca_system_score_codex":0.000477249,"about_ca_system_score_gemma":0.000018931853,"threshold_uncertainty_score":0.99438834},"labels":[],"label_agreement":null},{"id":"W2108799785","doi":"10.3968/j.est.1923847920110102.009","title":"Research on the Construction of New Energy Automotive Industry Innovation System based on Low-carbon Economy","year":2011,"lang":"en","type":"article","venue":"Energy science and technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Automotive industry; Low-carbon economy; Energy system; New energy; Industrial organization; Energy (signal processing); Business; Economy; Manufacturing engineering; Engineering; Renewable energy; Economics; Mechanical engineering; China; Political science","score_opus":0.02642012383134177,"score_gpt":0.2547510050468422,"score_spread":0.22833088121550046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108799785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9116646,0.000003463502,0.00010876156,0.000991374,0.000047495632,0.00006915592,6.0029254e-7,0.000036396475,0.087078154],"genre_scores_gemma":[0.999427,0.0000020952687,0.0001374079,0.00021334665,0.000010274116,0.00001756181,4.52904e-7,0.0000046525593,0.00018718069],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99876577,0.00006391018,0.0001787722,0.0003526036,0.0003386408,0.00030028442],"domain_scores_gemma":[0.99935555,0.00005358677,0.000092674396,0.00039059596,0.00005053404,0.000057036257],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0009806333,0.000098599,0.000103552586,0.00045053463,0.00025551955,0.00001428711,0.0003635791,0.00021305098,0.00012770203],"category_scores_gemma":[0.0001512368,0.00007035888,0.00001108472,0.00250539,0.0038949528,0.00014662072,0.00019034217,0.00028391398,0.0000045096904],"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":[0.000033372122,0.00011121529,0.03161686,0.000004267046,0.000003684891,0.0000039566285,0.000145306,0.00018598099,0.004075251,0.9392366,0.000119467375,0.02446405],"study_design_scores_gemma":[0.0005199329,0.0014893782,0.061125312,0.00007132137,0.0000071850727,0.000017900931,0.011342341,0.011375736,0.8440835,0.06654241,0.0031078728,0.000317147],"about_ca_topic_score_codex":0.0011296939,"about_ca_topic_score_gemma":0.000025837664,"teacher_disagreement_score":0.8726942,"about_ca_system_score_codex":0.00045815896,"about_ca_system_score_gemma":0.00011535489,"threshold_uncertainty_score":0.9988159},"labels":[],"label_agreement":null},{"id":"W2108971484","doi":"10.1016/j.envint.2014.04.004","title":"Spatial analysis of toxic emissions in LCA: A sub-continental nested USEtox model with freshwater archetypes","year":2014,"lang":"en","type":"article","venue":"Environment International","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Hydro-Québec; ArcelorMittal; European Commission","keywords":"Spatial variability; Environmental science; Statistics; Mathematics","score_opus":0.006512966256081954,"score_gpt":0.21724151866381466,"score_spread":0.21072855240773272,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2108971484","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98838043,0.0000034678162,0.008870858,0.00033254465,0.000027493925,0.00017355646,0.00006956914,0.000012036435,0.002130038],"genre_scores_gemma":[0.99704766,0.000012601347,0.0018336603,0.0001073138,0.00001582743,0.000026081962,0.00016995553,0.000014861466,0.00077205565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99836856,0.000071468814,0.00034287473,0.00038291918,0.0005730071,0.0002611413],"domain_scores_gemma":[0.9994131,0.000047960813,0.000121069796,0.0003008802,0.000002539353,0.000114502676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002640912,0.00018714686,0.00024772735,0.00015186999,0.00004464745,0.000015124381,0.00029043705,0.00006872499,0.0047282833],"category_scores_gemma":[0.000028480932,0.00015296761,0.00011869623,0.00016862852,0.00028836474,0.00021051858,0.0002496234,0.00014115615,0.000059576847],"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":[0.00007989695,0.00038978117,0.785641,0.000002234446,0.000102872786,0.0000033602835,0.0003913191,0.19482301,0.017468512,0.000039490256,0.000050806833,0.0010077072],"study_design_scores_gemma":[0.0005027946,0.000070829716,0.72307616,0.0000061286014,0.00008408315,0.0000014967493,0.00007192126,0.26950595,0.0054747746,0.00017956922,0.00086360256,0.00016269516],"about_ca_topic_score_codex":0.0005846916,"about_ca_topic_score_gemma":0.0014230546,"teacher_disagreement_score":0.07468293,"about_ca_system_score_codex":0.00044280206,"about_ca_system_score_gemma":0.000006202524,"threshold_uncertainty_score":0.99618155},"labels":[],"label_agreement":null},{"id":"W2111498185","doi":"10.1016/j.enpol.2009.11.078","title":"Towards real energy economics: Energy policy driven by life-cycle carbon emission","year":2009,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":121,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Greenhouse gas; Climate change; Environmental economics; Fossil fuel; Climate change mitigation; Carbon fibers; Natural resource economics; Life-cycle assessment; Electricity; Software deployment; Environmental science; Global warming; Engineering; Economics; Waste management; Computer science; Production (economics)","score_opus":0.004029122384095638,"score_gpt":0.2264104430596551,"score_spread":0.22238132067555946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111498185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.71257126,0.00011121881,0.00013528357,0.0055250786,0.00008119364,0.00005541981,0.000027702794,0.00013607749,0.28135675],"genre_scores_gemma":[0.9784096,0.0013634462,0.00010266791,0.005361639,0.0007341902,0.000019854733,0.00006970648,0.00004912622,0.013889799],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973971,0.00015173278,0.00046496541,0.0006960542,0.00030658726,0.0009835645],"domain_scores_gemma":[0.998171,0.00002834353,0.00016923624,0.0007428196,0.0000059752897,0.0008826624],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00013106695,0.0004510572,0.0003915111,0.00016149576,0.00022920393,0.00006640404,0.0005622874,0.00028331557,0.00054309476],"category_scores_gemma":[0.000084594394,0.0004396395,0.00018925112,0.00040971529,0.00030127526,0.0003421074,0.00035953728,0.00013320132,0.000016119246],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037097416,0.0020972218,0.04409764,0.00001725643,0.00014127053,0.000055519347,0.0021170403,0.019347634,0.05897776,0.11216551,0.036859304,0.72375286],"study_design_scores_gemma":[0.0024117418,0.0011285668,0.10336196,0.000024334795,0.000054506676,0.000040404855,0.00041937237,0.024905177,0.06918246,0.08331286,0.71275353,0.0024050574],"about_ca_topic_score_codex":0.2116184,"about_ca_topic_score_gemma":0.0011735199,"teacher_disagreement_score":0.7213478,"about_ca_system_score_codex":0.0022111312,"about_ca_system_score_gemma":0.0001756957,"threshold_uncertainty_score":0.9998055},"labels":[],"label_agreement":null},{"id":"W2115133744","doi":"10.1016/j.inteco.2014.07.003","title":"Assessment of the global financial crisis effects on energy consumption and economic growth in Malaysia: An input–output analysis","year":2014,"lang":"en","type":"article","venue":"International Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Stimulus (psychology); Economics; Financial crisis; Real gross domestic product; Quarter (Canadian coin); Consumption (sociology); Gas consumption; Energy consumption; Private consumption; Monetary economics; Macroeconomics; International economics; Fiscal policy; Engineering","score_opus":0.004361640216405145,"score_gpt":0.23654281246569495,"score_spread":0.2321811722492898,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115133744","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650496,0.0000021490293,0.0003149766,0.00042722208,0.00014329593,0.000068377434,0.000025660873,0.0000037245634,0.00250962],"genre_scores_gemma":[0.9992781,0.000031206542,0.00019051348,0.00042978453,0.000029528195,0.000009270053,0.0000108186605,0.0000037614966,0.000016981778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930024,0.00007047309,0.0002157857,0.00023908292,0.00006726834,0.000107150794],"domain_scores_gemma":[0.9996212,0.00005209017,0.00011316912,0.00016152964,0.0000025185357,0.000049483828],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021091093,0.00009461923,0.00014800645,0.00004442665,0.0000308101,0.000024022553,0.00020518882,0.000051860567,0.00016419921],"category_scores_gemma":[0.00002406776,0.00008392027,0.000071359675,0.000045910972,0.00010352936,0.00019520077,0.00015514158,0.000053470794,0.0000070946735],"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":[0.000013521018,0.000060934406,0.94662815,0.00000271039,0.000026679203,2.4724423e-7,0.000023830455,0.03648639,0.000012387388,0.014976049,0.000017401606,0.0017517188],"study_design_scores_gemma":[0.00026336644,0.00005276079,0.9207585,0.0000020305927,0.000022478744,8.9246487e-7,0.000012521932,0.07245914,0.00024066876,0.0059649213,0.00014930232,0.00007345327],"about_ca_topic_score_codex":0.0014978522,"about_ca_topic_score_gemma":0.0017815894,"teacher_disagreement_score":0.035972748,"about_ca_system_score_codex":0.0011953984,"about_ca_system_score_gemma":0.000012399289,"threshold_uncertainty_score":0.34221694},"labels":[],"label_agreement":null},{"id":"W2115349662","doi":"10.1146/annurev.resource.050708.144200","title":"Fuel Versus Food","year":2009,"lang":"en","type":"article","venue":"Annual Review of Resource Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":83,"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 Alberta","funders":"Canada Research Chairs; University of Alberta","keywords":"Biofuel; Natural resource economics; Deforestation (computer science); Production (economics); Fossil fuel; Land use; Food prices; Economics; Agricultural economics; Land use, land-use change and forestry; Food processing; Business; Environmental science; Food security; Agriculture; Geography; Ecology; Waste management; Engineering","score_opus":0.00866906879648071,"score_gpt":0.24216736647623002,"score_spread":0.2334982976797493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2115349662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.81771123,0.012583759,0.000008745257,0.0015736261,0.000058567595,0.00038987052,0.000039896237,0.000023138668,0.16761114],"genre_scores_gemma":[0.97197485,0.02348441,0.00043926405,0.0034774337,0.000042034088,0.000005223028,0.000015768528,0.000012321081,0.00054872123],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99910635,0.000041719883,0.00031573212,0.00021600569,0.00009673722,0.00022346829],"domain_scores_gemma":[0.9993286,0.000041763185,0.00013496933,0.00037317968,0.0000039728193,0.00011748519],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00038060977,0.00012762476,0.00025856568,0.000012789324,0.000035475554,0.0000063785274,0.00025436503,0.000050156443,0.0009760035],"category_scores_gemma":[0.00010740541,0.00011901159,0.00013816153,0.00007551295,0.00013796276,0.00019535079,0.0001039715,0.000094140414,0.0001854306],"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":[0.0004305332,0.0009116954,0.025738966,0.0024116903,0.00009983388,0.000008356383,0.0023388048,0.00087685004,0.00009950877,0.004263326,0.056921724,0.9058987],"study_design_scores_gemma":[0.00046348857,0.0009452904,0.04483323,0.00016985222,0.000031108702,0.000003849213,0.00042202437,0.000020322037,0.00014882456,0.001056228,0.9516712,0.0002345862],"about_ca_topic_score_codex":0.000013677031,"about_ca_topic_score_gemma":0.000008425746,"teacher_disagreement_score":0.90566415,"about_ca_system_score_codex":0.00020581156,"about_ca_system_score_gemma":0.000008524307,"threshold_uncertainty_score":0.99993724},"labels":[],"label_agreement":null},{"id":"W2118004422","doi":"10.5547/issn0195-6574-ej-volsi2006-nosi2-1","title":"Hybrid Modeling: New Answers to Old Challenges Introduction to the Special Issue of The Energy Journal","year":2006,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":243,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Conversation; Energy (signal processing); Management science; Engineering ethics; Computer science; Sociology; Engineering","score_opus":0.008484459739324927,"score_gpt":0.20755049612046275,"score_spread":0.19906603638113782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118004422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79012084,0.0005379035,0.010212123,0.18775636,0.0024510596,0.00015857728,0.000003394577,0.000014193375,0.00874557],"genre_scores_gemma":[0.97202456,0.00035976924,0.00019179683,0.0012442709,0.017723544,0.0000028476215,5.608053e-7,0.000021293305,0.008431355],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99797785,0.00028170037,0.0004060157,0.00020921329,0.00070152484,0.00042368044],"domain_scores_gemma":[0.9990628,0.00002676309,0.00017477066,0.0004823001,0.000017944893,0.00023544837],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009227028,0.00019103588,0.00017069675,0.000043072974,0.00067519746,0.00009442079,0.0008933386,0.000043529668,0.0015887656],"category_scores_gemma":[0.00006675299,0.000093863535,0.00017637694,0.0001839345,0.0001680372,0.00022244199,0.00030530553,0.0003496553,0.000028357264],"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":[0.000117676806,0.00010881333,0.0004168594,0.0000011520119,0.000025613168,0.000005632707,0.001516085,0.7623928,0.0027084348,0.0012514134,0.17143264,0.06002284],"study_design_scores_gemma":[0.0004962615,0.0003266063,0.014355971,0.00001698141,0.00006320046,0.0010465969,0.002715594,0.0029167864,0.014466538,0.025160987,0.93809175,0.00034269583],"about_ca_topic_score_codex":0.0015562107,"about_ca_topic_score_gemma":0.0008410359,"teacher_disagreement_score":0.76665914,"about_ca_system_score_codex":0.0004910271,"about_ca_system_score_gemma":0.00003908436,"threshold_uncertainty_score":0.9993239},"labels":[],"label_agreement":null},{"id":"W2118181057","doi":"10.1016/j.ecolecon.2009.11.001","title":"Strategic importance of green water in international crop trade","year":2009,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":264,"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":"Fundación Caja Madrid","keywords":"Virtual water; Commodity; Grain trade; Water resources; International trade and water; Water use; Water security; Business; Water trading; Water conservation; Productivity; Food security; Environmental science; Natural resource economics; Agricultural economics; Water scarcity; International trade; Economics; Agriculture; Trade barrier; Agronomy; Geography; Ecology","score_opus":0.014515219588508394,"score_gpt":0.22876782305413298,"score_spread":0.21425260346562458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118181057","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9726094,0.0000027496071,0.0000015498052,0.0017241809,0.000037464146,0.000102888225,0.0000037727427,0.0000073150154,0.02551065],"genre_scores_gemma":[0.9989371,0.000015941447,0.00018287785,0.0006363809,0.000013917133,0.00000304627,0.000007360336,0.0000025488957,0.00020084929],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99927986,0.000019285053,0.00026430163,0.00019169487,0.000041316867,0.0002035608],"domain_scores_gemma":[0.99976766,0.000014422228,0.00004575806,0.00011590945,6.044997e-7,0.00005566904],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018768206,0.00008133683,0.00013393031,0.000014763007,0.0000188555,0.0000088657225,0.00019930079,0.000072943265,0.006216576],"category_scores_gemma":[0.000008475513,0.000060366052,0.000046960195,0.000024601495,0.0001349924,0.00015629859,0.00006930901,0.000090369256,0.00006812229],"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":[0.000039244773,0.0006440208,0.98705566,0.0000019387096,0.0000041864128,0.00001580103,0.000263302,0.0068011847,0.0018029739,0.0011084818,0.000039867682,0.0022233273],"study_design_scores_gemma":[0.00023671368,0.00014307785,0.9642902,4.802428e-7,0.0000012405332,0.0000023942798,0.00012248117,0.0011382509,0.00082401466,0.032779895,0.00037585458,0.000085388965],"about_ca_topic_score_codex":0.00006157025,"about_ca_topic_score_gemma":0.0003141045,"teacher_disagreement_score":0.031671412,"about_ca_system_score_codex":0.00038477132,"about_ca_system_score_gemma":0.000003835121,"threshold_uncertainty_score":0.99469185},"labels":[],"label_agreement":null},{"id":"W2120233966","doi":"10.1016/j.enbuild.2004.06.020","title":"Canada post delivers energy conservation","year":2004,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Energy conservation; Corporation; Greenhouse gas; Position (finance); Business; Order (exchange); Energy consumption; Efficient energy use; Energy policy; Natural resource economics; Environmental economics; Environmental resource management; Engineering; Economics; Finance; Renewable energy; Ecology","score_opus":0.00239535082843644,"score_gpt":0.16245573001749752,"score_spread":0.16006037918906107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2120233966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936567,0.00004772154,0.0005943293,0.001756682,0.000043817214,0.000018232939,0.000004207559,0.000014014884,0.0038643167],"genre_scores_gemma":[0.9929728,0.000047331767,0.00032978723,0.0054364223,0.000014328794,0.0000031716029,0.000009106179,0.000006108788,0.0011809618],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99936706,0.0000129068085,0.000092281894,0.00018430519,0.00015268446,0.00019074198],"domain_scores_gemma":[0.9997433,0.000014377446,0.000030359748,0.00009515739,0.0000036574518,0.00011318685],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000052540938,0.00009544224,0.00007117713,0.000010737002,0.00014999675,0.000015380265,0.00007577509,0.000041252617,0.00037454366],"category_scores_gemma":[0.00001574615,0.00008829694,0.00001805962,0.000077470184,0.0001427878,0.00018763327,0.00008934196,0.000033034088,0.000001981782],"study_design_candidate":"not_applicable","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":[0.00029586116,0.000509463,0.4872583,0.000039486386,0.00009720907,0.00029730718,0.0013693244,0.026707023,0.1255326,0.20300685,0.038128745,0.11675786],"study_design_scores_gemma":[0.000849084,0.00015226376,0.22687304,0.0000110731435,0.000017511704,0.000036318215,0.0005079918,0.00019362861,0.03519932,0.007142227,0.72855526,0.00046226004],"about_ca_topic_score_codex":0.9516201,"about_ca_topic_score_gemma":0.75100136,"teacher_disagreement_score":0.6904265,"about_ca_system_score_codex":0.0004755084,"about_ca_system_score_gemma":0.000049442813,"threshold_uncertainty_score":0.41009903},"labels":[],"label_agreement":null},{"id":"W2122880139","doi":"10.1177/0021955x08101828","title":"Global Atmospheric Emissions Model of HCFC142b with Respect to Extruded Polystyrene Foam Applications","year":2009,"lang":"en","type":"article","venue":"Journal of Cellular Plastics","topic":"Environmental Impact and Sustainability","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":"Dow Chemical (Canada)","funders":"","keywords":"X-ray photoelectron spectroscopy; Polystyrene; Expanded polystyrene; Materials science; Process engineering; Product (mathematics); Environmental science; Environmental economics; Chemical engineering; Composite material; Polymer","score_opus":0.006966108918966744,"score_gpt":0.22960042950224094,"score_spread":0.2226343205832742,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122880139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65667665,0.000047003738,0.34114206,0.00017972327,0.000017879831,0.0001467896,0.000010532458,0.0000057535854,0.0017735957],"genre_scores_gemma":[0.95010626,0.000012387245,0.049461678,0.00008710698,0.000033608594,0.000001723269,0.0000012531223,0.000007747134,0.00028822667],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9986584,0.00003168539,0.00041927866,0.00014481606,0.0005088119,0.00023697353],"domain_scores_gemma":[0.9990664,0.00003776859,0.00026888563,0.00025558795,0.000026244872,0.0003451265],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019100965,0.00014448253,0.0002403267,0.000012665836,0.000083062776,0.000016281576,0.0002829814,0.000060892744,0.0001673044],"category_scores_gemma":[0.0000688854,0.0001090665,0.00008852736,0.00036025536,0.00011430794,0.00014254462,0.000066716486,0.00012778172,0.0000127216235],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048694364,0.0010290942,0.05707469,0.000017353828,0.00003839389,0.00004477089,0.0004031421,0.7257738,0.20695315,0.00044613358,0.0012883467,0.0064441557],"study_design_scores_gemma":[0.006249098,0.011480717,0.63308084,0.00028520144,0.0009685334,0.000547287,0.0028601442,0.1636601,0.12749934,0.038623262,0.012543051,0.0022024545],"about_ca_topic_score_codex":0.000011528484,"about_ca_topic_score_gemma":0.000008762762,"teacher_disagreement_score":0.5760061,"about_ca_system_score_codex":0.00042089075,"about_ca_system_score_gemma":0.000058773774,"threshold_uncertainty_score":0.4447603},"labels":[],"label_agreement":null},{"id":"W2123502928","doi":"10.1109/isee.2006.1650037","title":"Use of Environmental Life Cycle Impact Assessment for Power Generation Systems: Canadian Electricity Association Case Study","year":2006,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hydropower; Scope (computer science); Wind power; Electricity generation; Life-cycle assessment; Electricity; Environmental impact assessment; Environmental economics; Impact assessment; Engineering; Power (physics); Computer science; Production (economics); Economics; Political science; Electrical engineering","score_opus":0.012548191298358461,"score_gpt":0.2625688930511302,"score_spread":0.25002070175277175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2123502928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99673814,0.0000118596145,0.0006170987,0.000046742363,0.000071204384,0.001670689,0.00013898728,0.000017781445,0.00068752695],"genre_scores_gemma":[0.99863106,0.0000015504917,0.00034531375,0.00005749874,0.000036952737,0.00007102626,0.000050542323,0.000018363353,0.00078770134],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982376,0.00016754716,0.00041398613,0.00032193665,0.0004021718,0.0004567434],"domain_scores_gemma":[0.9991892,0.0000895443,0.00018911359,0.0002701319,0.0000074700947,0.0002545482],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00061158376,0.00019227296,0.00022374815,0.000063621956,0.00024834278,0.00008303836,0.00008533114,0.00010336228,0.0011735942],"category_scores_gemma":[0.000058241483,0.00017064941,0.00011143129,0.00012919026,0.000044782693,0.00052788545,0.000046997447,0.0000908085,0.000016566562],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009208697,0.0008055807,0.967752,0.0000027077365,0.00003665982,0.000033334094,0.00018103537,0.02348762,0.0055146967,0.000020090776,0.0019789764,0.00017810974],"study_design_scores_gemma":[0.000548089,0.0005827332,0.97132653,7.6672166e-7,0.000051960287,0.000029101091,0.0016262046,0.02480328,0.00039015897,0.000020413287,0.00038485296,0.0002359214],"about_ca_topic_score_codex":0.6061985,"about_ca_topic_score_gemma":0.1619134,"teacher_disagreement_score":0.44428506,"about_ca_system_score_codex":0.006946222,"about_ca_system_score_gemma":0.00006799927,"threshold_uncertainty_score":0.99973947},"labels":[],"label_agreement":null},{"id":"W2124501287","doi":"10.7202/010564ar","title":"Demande d’énergie et changement de l’intensité énergétique du secteur manufacturier québécois de 1990 à 1998","year":2005,"lang":"fr","type":"article","venue":"L Actualité économique","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Physics; Humanities; Political science; Economics; Philosophy","score_opus":0.013957297486333026,"score_gpt":0.2338594277506652,"score_spread":0.21990213026433217,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2124501287","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9509504,0.00103497,0.0018049354,0.037645474,0.00035875378,0.0008129105,0.000118741606,0.00013010637,0.007143704],"genre_scores_gemma":[0.95403725,0.003169284,0.0032936463,0.025897296,0.0008817768,0.00015793703,0.000054987864,0.000112815964,0.012394999],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9953272,0.0008199515,0.0007985591,0.0010068262,0.00022528402,0.0018222058],"domain_scores_gemma":[0.99750066,0.0003254971,0.00029587437,0.0008956755,0.0000138543755,0.0009684692],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020015,0.0007952265,0.0006491456,0.00009723383,0.00032144098,0.00019815016,0.00065948046,0.00063718925,0.007643409],"category_scores_gemma":[0.0002019846,0.00082677073,0.0004017351,0.00014685541,0.0007350603,0.0010956349,0.00068378035,0.00079631247,0.0018806332],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010136833,0.0048979977,0.38917428,0.0009245439,0.0010158103,0.00081876555,0.13230889,0.08311973,0.030664666,0.025689514,0.054159276,0.27621284],"study_design_scores_gemma":[0.0010136648,0.00028493628,0.24249503,0.000070571594,0.000117058284,0.00023860442,0.002232118,0.004549958,0.04859433,0.004669141,0.69471395,0.0010206542],"about_ca_topic_score_codex":0.06259147,"about_ca_topic_score_gemma":0.074025854,"teacher_disagreement_score":0.64055467,"about_ca_system_score_codex":0.0069657667,"about_ca_system_score_gemma":0.0002481269,"threshold_uncertainty_score":0.9994183},"labels":[],"label_agreement":null},{"id":"W2125214656","doi":"10.1139/a03-001","title":"Modeling the role of papermill sludge in the organic carbon cycle of paper products","year":2003,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Paperboard; Environmental science; Waste management; Sewage sludge; Carbon cycle; Carbon fibers; Life-cycle assessment; Pulp and paper industry; Sewage treatment; Production (economics); Environmental engineering; Engineering; Ecology; Ecosystem; Biology; Materials science","score_opus":0.00928255433458993,"score_gpt":0.21864956064663718,"score_spread":0.20936700631204724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2125214656","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9806117,0.007867075,0.000005149733,0.00011966976,0.000026969412,0.0010068734,0.000002581355,0.0000037232453,0.01035629],"genre_scores_gemma":[0.996291,0.003137109,0.00013425316,0.00023895306,0.000010628102,0.00005471511,0.0000036370336,0.00001837496,0.000111347734],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99776685,0.0005664785,0.0006056289,0.00032854135,0.00041410996,0.00031837675],"domain_scores_gemma":[0.99892503,0.000052552616,0.00015883072,0.00081469136,4.2877895e-7,0.00004844299],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015040201,0.00022026236,0.00032704358,0.000016152027,0.00007714118,0.0000067116357,0.00044726563,0.0000595482,0.0009822363],"category_scores_gemma":[0.00014994621,0.00012409227,0.00011937491,0.00023794868,0.0003989554,0.00016544298,0.00014490055,0.00021516225,0.00007011419],"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":[0.000030186324,0.0013340915,0.30909964,0.00007216299,0.000018744055,0.000004772396,0.008348223,0.002754128,0.6512209,0.00015102085,0.000053058768,0.026913041],"study_design_scores_gemma":[0.0019548603,0.0007367664,0.46072346,0.00017112117,0.00027743445,0.000092022645,0.025573527,0.007934804,0.2000344,0.008311792,0.29255542,0.001634373],"about_ca_topic_score_codex":0.0002296917,"about_ca_topic_score_gemma":0.00006468264,"teacher_disagreement_score":0.45118654,"about_ca_system_score_codex":0.00023506694,"about_ca_system_score_gemma":0.000007652315,"threshold_uncertainty_score":0.999931},"labels":[],"label_agreement":null},{"id":"W2126591300","doi":"10.1016/j.resconrec.2013.02.006","title":"Critical aspects in the life cycle assessment (LCA) of bio-based materials – Reviewing methodologies and deriving recommendations","year":2013,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":302,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Product (mathematics); Environmental science; Carbon capture and storage (timeline); Environmental economics; Climate change; Carbon footprint; Fossil fuel; Environmental resource management; Computer science; Biochemical engineering; Waste management; Engineering; Production (economics); Ecology; Economics","score_opus":0.05043122701957424,"score_gpt":0.3451407949550323,"score_spread":0.29470956793545805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2126591300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98609537,0.00019016607,0.00074055255,0.011885814,0.000025173153,0.00028280416,0.0000016358748,0.000011417742,0.0007670774],"genre_scores_gemma":[0.985836,0.00015731373,0.012832931,0.0011202671,0.000009121244,0.000028987382,0.0000032770354,0.0000048181514,0.000007231045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986714,0.00058202434,0.00030866923,0.00016859778,0.00012385532,0.00014543734],"domain_scores_gemma":[0.9985374,0.0011880252,0.00008938136,0.00012961915,0.000006975366,0.00004857986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015141991,0.00008654919,0.00016503321,0.00003239309,0.00018026777,0.00008286333,0.00008120195,0.0000474283,0.000391256],"category_scores_gemma":[0.0011452169,0.000060709623,0.00002003168,0.00011836728,0.00028148518,0.00023493904,0.00008843868,0.00008737544,0.0000024822339],"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":[0.000016334516,0.00013431656,0.90315413,0.0002953202,0.000013354839,0.00000210396,0.0035477434,0.0004295822,0.04484082,0.00066498126,0.00015097554,0.04675036],"study_design_scores_gemma":[0.00016834523,0.000037097507,0.9873297,0.000085358326,0.000014718084,0.0000021441672,0.004683192,0.0033272137,0.0011565101,0.00236283,0.0007382911,0.0000945839],"about_ca_topic_score_codex":0.0009661508,"about_ca_topic_score_gemma":0.00007122099,"teacher_disagreement_score":0.08417561,"about_ca_system_score_codex":0.000038144677,"about_ca_system_score_gemma":0.0000062341005,"threshold_uncertainty_score":0.4283979},"labels":[],"label_agreement":null},{"id":"W2127893262","doi":"10.5539/jsd.v7n3p83","title":"Analysis of Influencing Factors on Regional Carbon Emission Intensity in China-Based on Empirical Research with Provincial Panel Data","year":2014,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Intensity (physics); China; Energy intensity; Panel data; Carbon fibers; Emission intensity; Economics; Energy consumption; Consumption (sociology); Positive correlation; Natural resource economics; Agricultural economics; Econometrics; Geography; Ecology; Mathematics; Materials science","score_opus":0.06232289772448099,"score_gpt":0.3227871923893754,"score_spread":0.2604642946648944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2127893262","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99869686,0.000003827943,0.0000775426,0.0003089624,0.000015195806,0.00024507282,0.0000010858133,0.000003858437,0.00064759597],"genre_scores_gemma":[0.9992557,0.0000018396405,0.0004191566,0.00010767019,0.000016292615,0.000002937159,0.000013708653,0.000012075924,0.00017057348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966672,0.0002659784,0.0006086905,0.0003696677,0.0015716588,0.00051680196],"domain_scores_gemma":[0.9986717,0.00017327555,0.00032004077,0.0005094818,0.00010005503,0.00022546136],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039983247,0.000194381,0.0004504231,0.0006943521,0.00015947032,0.000027147189,0.0005594656,0.0000975808,0.000054114273],"category_scores_gemma":[0.00063794793,0.00013370428,0.0000648358,0.0012976927,0.00026104276,0.00020471092,0.0003961044,0.0005571061,8.85223e-7],"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":[0.00081976916,0.0005448206,0.9679248,0.000035286554,0.00005470208,0.000082887804,0.0029141305,0.026647357,0.0001763543,0.0000032928117,0.00012722693,0.0006694061],"study_design_scores_gemma":[0.0005611024,0.0008145733,0.98197496,0.00006274454,0.000043511012,0.0000026754062,0.0074903127,0.0065722438,0.0014318227,0.000046311612,0.0008447487,0.00015496618],"about_ca_topic_score_codex":0.00092731207,"about_ca_topic_score_gemma":0.00015112088,"teacher_disagreement_score":0.020075114,"about_ca_system_score_codex":0.002930555,"about_ca_system_score_gemma":0.00042900917,"threshold_uncertainty_score":0.76632994},"labels":[],"label_agreement":null},{"id":"W2129877667","doi":"10.5194/hess-15-2871-2011","title":"Analyses of impacts of China's international trade on its water resources and uses","year":2011,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"National Natural Science Foundation of China","keywords":"Virtual water; China; Water resources; Agriculture; Business; Natural resource economics; Resource (disambiguation); Water use; International trade and water; Environmental science; Production (economics); Balance of trade; Water resource management; Water scarcity; Economics; International trade; Trade barrier; Computer science; Geography","score_opus":0.0356313417452544,"score_gpt":0.27198767560396864,"score_spread":0.23635633385871424,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2129877667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988498,0.00008649444,0.0000025898346,0.00011439573,0.000040868075,0.000071293885,0.0000041643916,0.000006110085,0.011176094],"genre_scores_gemma":[0.99983996,0.000024208068,0.000070725786,0.00002854072,0.000006124713,0.0000013284978,4.269148e-7,0.0000016975956,0.000027001795],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921846,0.000084627216,0.00017759534,0.00019037354,0.00016825569,0.00016066997],"domain_scores_gemma":[0.9997545,0.000029797751,0.00007472667,0.00007888343,0.0000011213587,0.00006095269],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045727662,0.00007787683,0.00015242975,0.000051473322,0.000099860845,0.0000071957334,0.00013204492,0.000045101624,0.00022539253],"category_scores_gemma":[0.000016924385,0.00004616055,0.000024893265,0.00006300613,0.0011083441,0.00018028208,0.00008837265,0.000039251267,0.000004673593],"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":[0.00008133845,0.00008357904,0.95805395,0.000052106712,0.000020912414,0.000005034395,0.0066026608,0.00025360906,0.033899426,0.00024960778,0.000007281122,0.0006904883],"study_design_scores_gemma":[0.0001307968,0.00047650756,0.9090266,0.000014857885,0.000011014141,0.000022506236,0.0009409815,0.0007048751,0.08844356,0.000104308674,0.00006486327,0.00005908305],"about_ca_topic_score_codex":0.00052320905,"about_ca_topic_score_gemma":0.000038797636,"teacher_disagreement_score":0.05454414,"about_ca_system_score_codex":0.000008297354,"about_ca_system_score_gemma":0.000002263601,"threshold_uncertainty_score":0.40837398},"labels":[],"label_agreement":null},{"id":"W2130389950","doi":"10.1186/2193-2697-3-4","title":"A hybrid MCDA-LCA approach for assessing carbon foot-prints and environmental impacts of China’s paper producing industry and printing services","year":2014,"lang":"en","type":"article","venue":"ENVIRONMENTAL SYSTEMS RESEARCH","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"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 Regina","funders":"National Science Foundation","keywords":"Greenhouse gas; Carbon footprint; Life-cycle assessment; Environmental economics; Purchasing; Factory (object-oriented programming); Consumption (sociology); Business; China; Product (mathematics); Multiple-criteria decision analysis; Environmental pollution; Production (economics); Environmental science; Engineering; Operations research; Computer science; Environmental protection; Marketing; Economics","score_opus":0.0178259635497647,"score_gpt":0.28565740403129763,"score_spread":0.26783144048153296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2130389950","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948438,0.00041178838,0.0001272339,0.00006026314,0.000053644595,0.0018356172,0.00003303554,0.000026062613,0.0026085658],"genre_scores_gemma":[0.998335,0.00007985585,0.0007516945,0.000024992443,0.00010701717,0.00017233234,0.000050405233,0.00007097142,0.00040773605],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99553514,0.00060731644,0.00061625615,0.0011264876,0.0010897181,0.0010251127],"domain_scores_gemma":[0.99843866,0.00018010357,0.00024148606,0.00067948736,0.0000024358396,0.00045782636],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0034316008,0.00041215462,0.0005048536,0.00014480244,0.0005414119,0.00018334732,0.00036524748,0.00027406422,0.0001218695],"category_scores_gemma":[0.00009497806,0.00037968537,0.00008004272,0.00012727763,0.0011995409,0.0007234763,0.0013107663,0.0007678347,0.000009636322],"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":[0.000053667027,0.00036493046,0.855687,0.00054372626,0.00003579836,0.0000033172737,0.0016725913,0.00042380946,0.1352726,0.000013682383,0.0000141864,0.0059146867],"study_design_scores_gemma":[0.0010264831,0.0003269478,0.95483464,0.00010303664,0.00003101911,0.00007841297,0.008181267,0.0231007,0.010841447,0.00013087763,0.00086230895,0.00048287134],"about_ca_topic_score_codex":0.0017149664,"about_ca_topic_score_gemma":0.000007936874,"teacher_disagreement_score":0.12443116,"about_ca_system_score_codex":0.00079777243,"about_ca_system_score_gemma":0.00001252438,"threshold_uncertainty_score":0.99986553},"labels":[],"label_agreement":null},{"id":"W2131341776","doi":"10.1002/mde.1084","title":"A joint Japan–China research project for reducing pollution in China in the context of the Kyoto Protocol clean development mechanism (CDM): case study of the desulfurdized bio‐coal briquette experiments in Shenyang and Chengdu","year":2003,"lang":"en","type":"article","venue":"Managerial and Decision Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Japan Society for the Promotion of Science; Social Sciences and Humanities Research Council of Canada; National Aeronautics and Space Administration","keywords":"Clean Development Mechanism; Kyoto Protocol; China; Joint Implementation; Coal; Sustainable development; Context (archaeology); Briquette; Flexibility (engineering); Developing country; Global warming; Environmental science; Environmental economics; Business; Engineering; Greenhouse gas; Waste management; Climate change; Economic growth; Economics; Political science","score_opus":0.04890700783447555,"score_gpt":0.32745232579727945,"score_spread":0.2785453179628039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131341776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9697839,0.000004285856,0.000022984557,0.00008837193,0.00003998655,0.029949585,0.0000027842927,0.0000016047363,0.000106465515],"genre_scores_gemma":[0.99640214,0.0000031308912,0.00030660856,0.00003684578,0.0000053048766,0.003220571,2.5893635e-7,0.000008409989,0.000016746693],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983128,0.00043415965,0.00054212037,0.0003189618,0.00015533114,0.0002366836],"domain_scores_gemma":[0.99942845,0.00009242005,0.00013615823,0.00031083426,0.000003575409,0.000028588855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032594476,0.00012857832,0.00022395336,0.000089403264,0.00018868894,0.000042541305,0.0002062282,0.00005666982,0.000012745756],"category_scores_gemma":[0.0001698839,0.000075271295,0.000037780545,0.00019546562,0.00019657933,0.00014570497,0.00040945242,0.00015064771,3.0471583e-7],"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":[0.005727862,0.00657238,0.43306908,0.0002814132,0.0000657662,0.00007506145,0.33490607,0.004497474,0.010958626,0.0015248152,0.00022007822,0.20210138],"study_design_scores_gemma":[0.007035456,0.0004994769,0.87082946,0.00007406661,0.0000064603178,0.00004124781,0.097936004,0.0016338623,0.014784097,0.006643038,0.00030363607,0.00021317348],"about_ca_topic_score_codex":0.006109346,"about_ca_topic_score_gemma":0.006785264,"teacher_disagreement_score":0.4377604,"about_ca_system_score_codex":0.0004016505,"about_ca_system_score_gemma":0.00004107415,"threshold_uncertainty_score":0.9235545},"labels":[],"label_agreement":null},{"id":"W2132395862","doi":"10.1139/tcsme-2009-0013","title":"INDICATORS FOR THE ENVIRONMENTAL IMPACT OF WASTE EMISSIONS: COMPARISON OF EXERGY AND OTHER INDICATORS","year":2009,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Exergy; Environmental science; Environmental indicator; Environmental impact assessment; Environmental engineering; Environmental economics; Waste management; Engineering; Ecology; Economics","score_opus":0.007502701765847642,"score_gpt":0.23956435260883543,"score_spread":0.2320616508429878,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132395862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9764406,0.00013054087,0.022198189,0.00020263065,0.000043133703,0.00068533415,0.00027498274,0.000006684932,0.000017868848],"genre_scores_gemma":[0.99848557,0.000012189933,0.0013953545,0.00003826498,0.000006440782,0.000020351024,0.000001774202,0.000012476772,0.000027609607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992253,0.000009303024,0.0002586361,0.00012790719,0.00014794541,0.00023090509],"domain_scores_gemma":[0.9993831,0.000113434864,0.00009935878,0.00022839633,0.0000016889411,0.00017403076],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021293276,0.00011896801,0.00019349737,0.000032131065,0.00017753521,0.0000043865584,0.00023829266,0.00010622646,0.00013005767],"category_scores_gemma":[0.000022223167,0.000079878504,0.0004938541,0.00017493428,0.00019363826,0.0000567943,0.000011773247,0.00012382207,1.2729946e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018336621,0.0010905266,0.0650209,0.00036554981,0.0012511786,2.0180318e-7,0.012054089,0.52636886,0.30848825,0.0019632638,0.0009933355,0.08222047],"study_design_scores_gemma":[0.0034146996,0.0023473846,0.27616102,0.00015545626,0.0010043598,0.0000095294445,0.007640954,0.28738958,0.41218704,0.0014047262,0.007215663,0.0010696014],"about_ca_topic_score_codex":0.0030531897,"about_ca_topic_score_gemma":0.0005824917,"teacher_disagreement_score":0.23897928,"about_ca_system_score_codex":0.00042292618,"about_ca_system_score_gemma":0.000035592428,"threshold_uncertainty_score":0.461553},"labels":[],"label_agreement":null},{"id":"W2132441590","doi":"10.1007/s11367-011-0316-4","title":"USEtox human exposure and toxicity factors for comparative assessment of toxic emissions in life cycle analysis: sensitivity to key chemical properties","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":296,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Key (lock); Environmental science; Sensitivity (control systems); Life-cycle assessment; Environmental chemistry; Chemistry; Engineering; Biology; Ecology","score_opus":0.05216591897586682,"score_gpt":0.340249799953123,"score_spread":0.2880838809772562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132441590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99684316,0.000017332286,0.0014742229,0.0005584521,0.00006157703,0.00031319115,0.000024964895,0.000004574481,0.00070255523],"genre_scores_gemma":[0.99752194,0.0000084448875,0.0021945436,0.00020034707,0.000033391574,0.000012533238,0.000003964353,0.000007443843,0.00001738624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981361,0.00019096244,0.0006336092,0.00019314805,0.00065263954,0.0001935635],"domain_scores_gemma":[0.99896526,0.00017325918,0.00037844948,0.00017825089,0.000059391292,0.00024541342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010286696,0.00016295802,0.00039839908,0.0000808368,0.000086652624,0.00003560921,0.00036186184,0.00005006871,0.00029290016],"category_scores_gemma":[0.00013470571,0.000107632986,0.00016808348,0.00013840942,0.00020054201,0.00034407724,0.00031322648,0.00018901788,6.1033825e-7],"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":[0.00015237657,0.00097182795,0.87103724,0.000008869401,0.00047145906,0.000005336814,0.005786599,0.009257529,0.1119522,0.00013463256,0.00005768161,0.00016425987],"study_design_scores_gemma":[0.00051189115,0.00030474667,0.973725,0.000025063408,0.00009819331,0.0000037949046,0.0054557896,0.004363481,0.015013022,0.00036142734,0.000012955152,0.00012463733],"about_ca_topic_score_codex":0.000697662,"about_ca_topic_score_gemma":0.00044301926,"teacher_disagreement_score":0.10268777,"about_ca_system_score_codex":0.00068626995,"about_ca_system_score_gemma":0.000076562676,"threshold_uncertainty_score":0.43891457},"labels":[],"label_agreement":null},{"id":"W2133035098","doi":"10.1111/j.1530-9290.2012.00481.x","title":"Greenhouse Gas Emissions from Chinese Cities","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":94,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Mitacs; University of Toronto","keywords":"Per capita; Greenhouse gas; Beijing; Natural resource economics; China; Renewable energy; Carbon dioxide equivalent; Industrial ecology; Environmental science; Coal; Business; Production (economics); Agricultural economics; Environmental protection; Geography; Economics; Sustainability; Waste management; Engineering; Population","score_opus":0.02205068069929558,"score_gpt":0.26208283090339857,"score_spread":0.24003215020410298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133035098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956565,0.00005021968,0.000016819351,0.0007704113,0.00096596184,0.0000927505,0.000008002133,0.000007665021,0.0024316832],"genre_scores_gemma":[0.99810475,0.00002691103,0.00026965208,0.00022808346,0.0009771825,0.0000016643082,0.0000019201893,0.000010703125,0.00037910466],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986938,0.00017755567,0.0004342336,0.00009152529,0.00023235253,0.0003705108],"domain_scores_gemma":[0.99896455,0.0002156583,0.0003004789,0.00015435943,0.00000633063,0.00035860887],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005844703,0.00013274886,0.00027780494,0.0000439197,0.00010782893,0.000013123902,0.0002369385,0.00022721892,0.012888949],"category_scores_gemma":[0.00060072436,0.00009472379,0.00012655118,0.00011865158,0.0002461921,0.00049995835,0.00017821378,0.00045978234,0.00012844293],"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":[0.00010386966,0.00027582422,0.98388326,5.0375695e-7,0.000022595283,0.000016703025,0.00056540524,0.00009415246,0.0013595099,0.0000058402534,0.008874566,0.004797764],"study_design_scores_gemma":[0.00136857,0.00045165032,0.97634524,0.0000057647435,0.00004259552,0.00008446247,0.0009170234,0.000013357783,0.000573231,0.0015797712,0.018463615,0.0001547094],"about_ca_topic_score_codex":0.00026468208,"about_ca_topic_score_gemma":0.00007794117,"teacher_disagreement_score":0.012760507,"about_ca_system_score_codex":0.00048250754,"about_ca_system_score_gemma":0.00003610796,"threshold_uncertainty_score":0.9880134},"labels":[],"label_agreement":null},{"id":"W2133698620","doi":"10.1139/l05-031","title":"Water resources management in Beijing using economic input–output modeling","year":2005,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Chinese Academy of Sciences","keywords":"Beijing; Water resources; Water use; Sustainable development; Goods and services; Agriculture; Input–output model; China; Business; Natural resource economics; Consumption (sociology); Water pricing; Water conservation; Integrated water resources management; Resource (disambiguation); Production (economics); Economics; Economy; Geography","score_opus":0.008020214869209839,"score_gpt":0.1858052484692328,"score_spread":0.17778503360002296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133698620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9941452,0.00011511903,0.0025511973,0.00012605208,0.0000991752,0.00006678874,8.542685e-7,0.0000044524886,0.0028911266],"genre_scores_gemma":[0.9985368,0.000009122001,0.0012408076,0.000050554696,0.00008303787,8.290246e-7,3.5528515e-7,0.000017669408,0.000060797516],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990079,0.000013919285,0.00032641823,0.000116009775,0.00010574958,0.00043004705],"domain_scores_gemma":[0.9995009,0.000006457441,0.00003753111,0.000115848976,0.000002247899,0.00033703775],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386191,0.000120166646,0.00014466533,0.00020337597,0.00005784954,0.00004348835,0.00019023931,0.000042740718,0.00067090115],"category_scores_gemma":[0.000008288639,0.00011052033,0.00005867408,0.0000568695,0.000032249154,0.00041703155,0.000045987228,0.00017720847,0.000024875339],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000018003122,0.000004420119,0.021027287,0.000007604586,0.0000091848115,0.00006017731,0.00083507394,0.9766272,0.0003413408,0.00000637386,0.000018966348,0.001060574],"study_design_scores_gemma":[0.00041562342,0.00002504391,0.01424936,0.00006584838,0.000019818397,0.00008486691,0.00051846495,0.9707858,0.00029709365,0.00007533833,0.013179856,0.00028290847],"about_ca_topic_score_codex":0.0021617585,"about_ca_topic_score_gemma":0.055612374,"teacher_disagreement_score":0.053450614,"about_ca_system_score_codex":0.0023268778,"about_ca_system_score_gemma":0.00001985187,"threshold_uncertainty_score":0.9616202},"labels":[],"label_agreement":null},{"id":"W2133737065","doi":"10.1021/es403928f","title":"Complementarities of Water-Focused Life Cycle Assessment and Water Footprint Assessment","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":187,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Citation; Life-cycle assessment; Social media; Computer science; Altmetrics; Footprint; Library science; Sustainability; World Wide Web; Information retrieval; Geography; Archaeology; Production (economics); Ecology","score_opus":0.006993492712171697,"score_gpt":0.24817526491313655,"score_spread":0.24118177220096484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2133737065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99242544,0.000019836287,0.00031171908,0.0022046193,0.0000792554,0.000876927,0.0000097182465,0.00007983931,0.003992644],"genre_scores_gemma":[0.9942375,0.000032046217,0.005151416,0.00020555608,0.0000099474855,0.00015502394,0.000012904081,0.000022091675,0.00017352888],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99657536,0.000066207096,0.00055166375,0.00081575074,0.00089710805,0.001093931],"domain_scores_gemma":[0.9988255,0.00002304744,0.00010176335,0.0007055956,0.000004946937,0.00033914103],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007885128,0.00033972508,0.0003729739,0.00024346562,0.00057205954,0.0000842191,0.0008553258,0.00013797314,0.010949951],"category_scores_gemma":[0.0000112231855,0.00023325149,0.00007040308,0.00025962602,0.0070459265,0.0006623153,0.0030242905,0.00031920345,0.0002604383],"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":[0.0000042343468,0.00033954676,0.43524334,0.00000920582,0.000011491801,0.0000030718656,0.00039652878,0.00024415753,0.5501292,0.00032000357,0.000020874364,0.013278391],"study_design_scores_gemma":[0.0006321614,0.00047540083,0.7669251,0.00000589579,0.000017920496,0.0000149107545,0.0037282242,0.0010442035,0.21868832,0.006619341,0.0014670509,0.00038144967],"about_ca_topic_score_codex":0.0008195861,"about_ca_topic_score_gemma":0.000029307708,"teacher_disagreement_score":0.33168176,"about_ca_system_score_codex":0.0014208903,"about_ca_system_score_gemma":0.000023546801,"threshold_uncertainty_score":0.9956563},"labels":[],"label_agreement":null},{"id":"W2134073219","doi":"10.1007/s11367-011-0285-7","title":"Normalization references for Europe and North America for application with USEtox™ characterization factors","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Normalization (sociology); Environmental science; Sociology; Anthropology","score_opus":0.023733250506449817,"score_gpt":0.2690180469685088,"score_spread":0.24528479646205897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2134073219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8590328,0.0000032426274,0.13998236,0.0004021104,0.00006407777,0.00028938326,0.000024387271,0.0000043542645,0.00019729587],"genre_scores_gemma":[0.9965579,0.00005084115,0.0029717628,0.00024045515,0.00005377694,0.000026045704,0.00005885403,0.000008703052,0.000031680025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992454,0.000030013398,0.00024449226,0.00010143468,0.0002846408,0.000093991766],"domain_scores_gemma":[0.9993408,0.00006011911,0.0003821692,0.00008100807,0.000072136754,0.00006378046],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021027017,0.00008236092,0.00009413805,0.000021535034,0.00008925327,0.000039115137,0.00025205442,0.00001640136,0.000066887],"category_scores_gemma":[0.00004214713,0.000049761416,0.000030797397,0.000058875503,0.000100679805,0.00039664283,0.000055651082,0.00005064543,0.0000011412689],"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":[0.0003661819,0.00021243938,0.9786859,0.000008623419,0.000084783984,6.141291e-7,0.0015934845,0.0010227874,0.0027489834,0.00035429365,0.000059899012,0.014862001],"study_design_scores_gemma":[0.00039543567,0.00034899023,0.991072,0.0000050475305,0.000027946122,0.000004239088,0.00047881316,0.0034323472,0.00034960505,0.0003701723,0.0034423615,0.00007304727],"about_ca_topic_score_codex":0.00004647256,"about_ca_topic_score_gemma":0.000037758473,"teacher_disagreement_score":0.1375251,"about_ca_system_score_codex":0.00012701662,"about_ca_system_score_gemma":0.00002744917,"threshold_uncertainty_score":0.20292117},"labels":[],"label_agreement":null},{"id":"W2136032302","doi":"10.4102/sajems.v12i3.216","title":"Estimating the carbon emissions balance for South Africa","year":2011,"lang":"en","type":"article","venue":"South African Journal of Economic and Management Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Society of Intestinal Research","funders":"European Commission","keywords":"Liberian dollar; Carbon footprint; Greenhouse gas; Balance of trade; Balance (ability); Economics; Carbon fibers; Climate change; Natural resource economics; Us dollar; International economics; International trade; Currency; Macroeconomics; Finance","score_opus":0.02723126455895209,"score_gpt":0.2344910985693314,"score_spread":0.2072598340103793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2136032302","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94383645,0.00006837569,0.0014846051,0.00024087446,0.0001743431,0.00025648376,0.0000036920674,0.0000058981864,0.053929262],"genre_scores_gemma":[0.9905493,0.0000072373728,0.008865679,0.00005378315,0.000034808087,0.000007770704,7.558316e-8,0.000004166199,0.0004771433],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991551,0.00003104497,0.00026112294,0.00018111602,0.00011562263,0.00025600896],"domain_scores_gemma":[0.9994442,0.000037618072,0.00027871772,0.00012014919,0.0000027398357,0.0001166105],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010691253,0.00009717517,0.00013016936,0.000038589675,0.00032231957,0.000042727635,0.00038153335,0.000016086318,0.0001591235],"category_scores_gemma":[0.000029745523,0.000059693743,0.00006158237,0.00007700148,0.0007022344,0.00019150642,0.00016895057,0.00005945986,0.000005385234],"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":[0.00016720055,0.0001550245,0.85263443,0.00007064738,0.000123602,0.000015148506,0.11302982,0.015875265,0.0000755089,0.004842106,0.0010993204,0.011911937],"study_design_scores_gemma":[0.0027589595,0.0023873148,0.4895903,0.0001228515,0.00046146836,0.000054874487,0.29368332,0.10415619,0.00024715494,0.09341172,0.011888022,0.0012378232],"about_ca_topic_score_codex":0.00001793956,"about_ca_topic_score_gemma":0.0000027547885,"teacher_disagreement_score":0.3630441,"about_ca_system_score_codex":0.00008928168,"about_ca_system_score_gemma":0.0000123613845,"threshold_uncertainty_score":0.2587412},"labels":[],"label_agreement":null},{"id":"W2137461186","doi":"10.3390/su2010354","title":"Toward Environmentally Sustainable Construction Processes: The U.S. and Canada’s Perspective on Energy Consumption and GHG/CAP Emissions","year":2010,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Natural Resources; University of Alberta","funders":"Division of Civil, Mechanical and Manufacturing Innovation; Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Greenhouse gas; Environmentally friendly; Energy consumption; Incentive; Sustainable development; Consumption (sociology); Environmental economics; Environmental impact assessment; Environmental planning; Business; Sustainability; Natural resource economics; Environmental resource management; Engineering; Environmental science; Economics","score_opus":0.004482568777848072,"score_gpt":0.21997998691090023,"score_spread":0.21549741813305215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2137461186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890174,0.00008564118,0.000081152386,0.0064451257,0.00007391984,0.00075572234,0.000014344132,0.000036494574,0.0034901688],"genre_scores_gemma":[0.99776864,0.00008505356,0.00011106416,0.00042871982,0.000031778374,0.00008294949,0.0000064232536,0.000018378576,0.0014669881],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978421,0.00015696413,0.00026241055,0.0006997075,0.0004250162,0.0006138146],"domain_scores_gemma":[0.99875987,0.00022478882,0.00010938774,0.00051176676,0.000066134315,0.00032805072],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005068401,0.00030464403,0.0002115537,0.000032227534,0.0008597262,0.000093529576,0.00021309979,0.00013956001,0.00097363605],"category_scores_gemma":[0.0011531784,0.00022771329,0.000038564835,0.00013721826,0.0023883346,0.00040134598,0.00045364484,0.00044886002,0.000003419829],"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":[0.00027020668,0.0003732886,0.9501118,0.0003246244,0.000031430656,0.00005760295,0.0044731656,0.00012737176,0.0007926823,0.035044983,0.001189321,0.007203501],"study_design_scores_gemma":[0.00067628175,0.00022596454,0.8527224,0.0000060907655,0.000045483815,0.00009740781,0.07479973,0.00010808587,0.0013914241,0.04456256,0.024862576,0.00050199596],"about_ca_topic_score_codex":0.40062442,"about_ca_topic_score_gemma":0.19823967,"teacher_disagreement_score":0.20238476,"about_ca_system_score_codex":0.003715519,"about_ca_system_score_gemma":0.00051459647,"threshold_uncertainty_score":0.9999396},"labels":[],"label_agreement":null},{"id":"W2138613673","doi":"10.5539/eer.v2n1p195","title":"Analysis on the Potential of Greenhouse Gas Emission Reduction in Henan’s Electricity Sector","year":2012,"lang":"en","type":"article","venue":"Energy and Environment Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Renewable energy; Environmental science; Electricity generation; Electricity; Fossil fuel; Baseline (sea); Diversification (marketing strategy); Emission intensity; Environmental economics; Natural resource economics; Environmental engineering; Environmental protection; Business; Waste management; Power (physics); Engineering; Economics; Ecology","score_opus":0.01889352418925686,"score_gpt":0.2707273716014492,"score_spread":0.25183384741219234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138613673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972879,0.00011057908,0.000099810684,0.00044367675,0.000017394852,0.00013424573,0.0000018837394,0.0000055951223,0.0018988802],"genre_scores_gemma":[0.99784285,0.00077331415,0.000034621196,0.00002432694,0.000037691672,0.000027428478,0.0000047706353,0.000009542587,0.001245443],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777424,0.00050121255,0.00020579869,0.00028759424,0.0006934654,0.00053768395],"domain_scores_gemma":[0.9993122,0.00010979056,0.00004788286,0.00036409625,0.0000019031246,0.0001640982],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016628498,0.00012747225,0.00015870227,0.00014773685,0.00021439228,0.000012319728,0.00016670587,0.00009100111,0.0026964727],"category_scores_gemma":[0.00005077544,0.00008645731,0.00007485707,0.00054455956,0.000490653,0.00017655668,0.00025947913,0.00024977702,0.00002287083],"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":[0.0003575369,0.0017882157,0.8530547,0.000012695909,0.00009534806,0.000006558176,0.0011466882,0.011636032,0.102007166,0.00048293034,0.0007194477,0.02869269],"study_design_scores_gemma":[0.00024312167,0.0002572148,0.95816904,0.0000043785444,0.000033846158,0.0000034043396,0.00057958346,0.0015129962,0.035851996,0.0011448326,0.0020526776,0.00014691024],"about_ca_topic_score_codex":0.0023680718,"about_ca_topic_score_gemma":0.0000624518,"teacher_disagreement_score":0.10511435,"about_ca_system_score_codex":0.00047802358,"about_ca_system_score_gemma":0.0000046891937,"threshold_uncertainty_score":0.9982152},"labels":[],"label_agreement":null},{"id":"W2138934369","doi":"10.1007/s11027-012-9426-y","title":"Climate change mitigation policy paradigms—national objectives and alignments","year":2012,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Pembina Institute","funders":"","keywords":"Climate change; Greenhouse gas; Climate change mitigation; Business; Renewable energy; European union; Promotion (chess); Energy policy; China; Energy security; Environmental resource management; Natural resource economics; Environmental planning; Economics; Political science; Economic policy; Geography; Politics","score_opus":0.05170143183921574,"score_gpt":0.3155863728943435,"score_spread":0.2638849410551278,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2138934369","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871578,0.00029625266,0.0010094413,0.0010712844,0.000097257376,0.0010273017,0.00022457846,0.00005134768,0.0090647135],"genre_scores_gemma":[0.99718565,0.00016289671,0.0010793161,0.0008199933,0.00023930246,0.00032510143,0.00014464447,0.0000089943,0.00003410544],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888873,0.000051956613,0.00019830419,0.000230546,0.00027360063,0.00035685865],"domain_scores_gemma":[0.9995875,0.00003011565,0.00011101109,0.00006731669,0.000016775755,0.00018732111],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027405375,0.0001648662,0.00011495246,0.00003337227,0.0002617286,0.00009408797,0.000044954908,0.000077513054,0.000056978635],"category_scores_gemma":[0.000034810117,0.00016328256,0.000035676036,0.0001567486,0.00023018701,0.002136074,0.00005836278,0.000038409406,0.000013884428],"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":[0.00010287058,0.0002417439,0.5728798,0.00014065421,0.000028941775,6.317913e-7,0.018312486,0.00003913439,0.00068246305,0.319534,0.00018605552,0.08785119],"study_design_scores_gemma":[0.00056162727,0.00010227464,0.952157,0.000014372895,0.000016751808,0.00000831308,0.009446649,0.002200455,0.00009742097,0.03297172,0.0022063968,0.00021700459],"about_ca_topic_score_codex":0.00029922588,"about_ca_topic_score_gemma":0.00008953132,"teacher_disagreement_score":0.3792772,"about_ca_system_score_codex":0.0003568065,"about_ca_system_score_gemma":0.0000130904045,"threshold_uncertainty_score":0.66584694},"labels":[],"label_agreement":null},{"id":"W2139413000","doi":"10.1353/toc.2011.0015","title":"The Fight Against Climate Change: Why Is Canada Doing So Little?","year":2011,"lang":"en","type":"article","venue":"The Tocqueville Review/La revue Tocqueville","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Politics; Human rights; Democracy; Political science; Convention; Admiration; Empire; Law","score_opus":0.017738031345686765,"score_gpt":0.22524013114369357,"score_spread":0.2075020997980068,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139413000","genre_codex":"other","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0270799,0.18683505,0.000059642214,0.06332248,0.0010122162,0.013691403,0.00017146286,0.00032783026,0.7075],"genre_scores_gemma":[0.30159637,0.5719102,0.0011201418,0.11118607,0.0007327247,0.004739334,0.00005874788,0.00033922374,0.008317195],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99579173,0.00073942257,0.000897027,0.00070401316,0.00065552804,0.0012122879],"domain_scores_gemma":[0.99687904,0.00035510727,0.000429751,0.00195247,0.000028340088,0.00035528408],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002247561,0.00058197463,0.0006560262,0.00002279065,0.0014715464,0.00010497169,0.0014877709,0.00013489617,0.0063445736],"category_scores_gemma":[0.00021355019,0.00034019267,0.00035379673,0.0005156637,0.0007511803,0.00043055124,0.0010542297,0.0005507055,0.0006617391],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014228956,0.0003491583,0.015798219,0.002323684,0.0001574052,0.00017092106,0.0046089664,0.000034680514,0.00019220193,0.002125999,0.5107135,0.463383],"study_design_scores_gemma":[0.00019936054,0.000069534806,0.008402103,0.0007081441,0.00009230681,0.000056783138,0.00035776413,0.00009610106,0.00020564119,0.00019512222,0.9891094,0.0005077344],"about_ca_topic_score_codex":0.07857738,"about_ca_topic_score_gemma":0.0781612,"teacher_disagreement_score":0.6991828,"about_ca_system_score_codex":0.0009420252,"about_ca_system_score_gemma":0.000093458795,"threshold_uncertainty_score":0.999905},"labels":[],"label_agreement":null},{"id":"W2139669003","doi":"10.6000/1929-7092.2012.01.1","title":"How Volatile is ENSO for Global Greenhouse Gas Emissions and the Global Economy?","year":2012,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; National Science Council","keywords":"Greenhouse gas; El Niño Southern Oscillation; Natural resource economics; Economics; Environmental science; Climatology; Geology","score_opus":0.017104762287980618,"score_gpt":0.26673405088608715,"score_spread":0.24962928859810654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2139669003","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9678368,0.008918289,0.00051910244,0.008384836,0.0003833289,0.001002652,0.00016253474,0.00000812124,0.012784359],"genre_scores_gemma":[0.98224837,0.009806339,0.0028357895,0.0044061514,0.00034586625,0.000018676745,0.00000270747,0.00001324755,0.0003228356],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858075,0.00011833049,0.0005990272,0.0001953395,0.00008919493,0.00041733225],"domain_scores_gemma":[0.9985176,0.000069554066,0.0006435312,0.00031902344,0.0000093801555,0.00044094064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011804166,0.00024265953,0.000556736,0.0000067979586,0.00017087607,0.00011837811,0.00034209908,0.00009329543,0.00018313728],"category_scores_gemma":[0.00019934756,0.00015369538,0.00039939117,0.000079275174,0.00035339326,0.0007381026,0.00016712847,0.00012066457,0.000041912455],"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":[0.0005845926,0.00037077972,0.7867144,0.000071989045,0.000101390244,0.0000020536984,0.00024375504,0.0001503118,0.000002532294,0.011459783,0.035811875,0.16448654],"study_design_scores_gemma":[0.0015490442,0.00024894046,0.047799412,0.000027162489,0.00011025294,0.0001567277,0.00017641926,0.00032606075,0.000010604593,0.02283732,0.92653936,0.0002186989],"about_ca_topic_score_codex":0.000035183388,"about_ca_topic_score_gemma":0.000046722,"teacher_disagreement_score":0.89072746,"about_ca_system_score_codex":0.001990062,"about_ca_system_score_gemma":0.000030790194,"threshold_uncertainty_score":0.6267516},"labels":[],"label_agreement":null},{"id":"W2140092708","doi":"10.5539/jsd.v5n10p1","title":"Applying the Project Management Cost Estimating Standard to Carbon Footprinting","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"University of Florida","keywords":"Greenhouse gas; Footprinting; Carbon footprint; Climate change; Environmental science; Environmental economics; Environmental resource management; Robustness (evolution); Computer science; Natural resource economics; Environmental protection; Chemistry; Ecology; Economics","score_opus":0.013314596670299961,"score_gpt":0.2621166686743109,"score_spread":0.24880207200401092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2140092708","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9811808,0.000066091794,0.005591813,0.00021828641,0.00019599586,0.0023125415,1.3383331e-7,0.000015376387,0.010418955],"genre_scores_gemma":[0.9475383,0.0000049582404,0.04979221,0.00021032672,0.000094058145,0.00031438033,2.8472016e-7,0.000020982001,0.0020244631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99748325,0.00008568703,0.00058576965,0.00015978703,0.0008001956,0.00088527764],"domain_scores_gemma":[0.99916434,0.000052412866,0.00028975462,0.00021786884,0.00003751019,0.00023808863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0031099645,0.00020031704,0.0002258506,0.00011035499,0.0004216574,0.00008830528,0.00037734775,0.000039494615,0.000079010264],"category_scores_gemma":[0.0001257438,0.00013752907,0.00006833762,0.00042594384,0.000076700235,0.00039375504,0.0007460585,0.00024637234,0.000011623287],"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":[0.00022612234,0.00035090052,0.7829853,0.00027451015,0.00014867092,0.00027629637,0.023411456,0.011768462,0.00030903614,0.0004582736,0.002310892,0.17748003],"study_design_scores_gemma":[0.0007190833,0.00016552255,0.4558364,0.000082758816,0.00006015803,0.00011602349,0.10934486,0.00017392845,0.0027486638,0.00034401854,0.42993715,0.00047146666],"about_ca_topic_score_codex":0.0000547266,"about_ca_topic_score_gemma":0.0000020782866,"teacher_disagreement_score":0.42762625,"about_ca_system_score_codex":0.003098044,"about_ca_system_score_gemma":0.00007457357,"threshold_uncertainty_score":0.81012774},"labels":[],"label_agreement":null},{"id":"W2144174939","doi":"10.1007/s11367-012-0501-0","title":"Life cycle greenhouse gas emissions of electricity generation in the province of Ontario, Canada","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Electricity generation; Electricity; Environmental science; Work (physics); Business; Natural resource economics; Environmental economics; Production (economics); Engineering; Power (physics); Economics","score_opus":0.012904146383435023,"score_gpt":0.2704013809425023,"score_spread":0.2574972345590673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144174939","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950691,0.000047881786,0.00024372585,0.0027923349,0.0001538506,0.00015564205,0.0000058327405,0.0000012055038,0.0015304385],"genre_scores_gemma":[0.99877673,0.000021777878,0.00033674168,0.0006434919,0.00010909202,0.0000034271657,0.0000025651689,0.000005501064,0.00010068328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99794555,0.00016914781,0.00055479567,0.000075423304,0.0010729668,0.00018212858],"domain_scores_gemma":[0.9990274,0.00012522603,0.00049703196,0.00017731295,0.00003096695,0.00014207134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011814906,0.00009470876,0.00015720066,0.000032293403,0.000058545917,0.000015755575,0.00063884055,0.00002758842,0.00057062856],"category_scores_gemma":[0.00019301259,0.00005635134,0.0000725425,0.0000913898,0.00009551524,0.00031761514,0.00013146937,0.00024461237,9.722418e-7],"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":[0.00010389755,0.0011637834,0.9450473,0.00000699004,0.00008956586,0.000013108824,0.0020127108,0.037012894,0.006082755,0.0002724563,0.005329146,0.002865365],"study_design_scores_gemma":[0.00042947804,0.00012697802,0.99194163,0.00001160587,0.000023368228,0.000022365819,0.0007289886,0.002330973,0.0022041248,0.00035231363,0.0017470175,0.00008118477],"about_ca_topic_score_codex":0.41331977,"about_ca_topic_score_gemma":0.43267003,"teacher_disagreement_score":0.046894275,"about_ca_system_score_codex":0.0019946666,"about_ca_system_score_gemma":0.0010993683,"threshold_uncertainty_score":0.62479824},"labels":[],"label_agreement":null},{"id":"W2145917034","doi":"10.1080/09535314.2013.769938","title":"BUILDING EORA: A GLOBAL MULTI-REGION INPUT–OUTPUT DATABASE AT HIGH COUNTRY AND SECTOR RESOLUTION","year":2013,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1395,"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":"University of South Australia; York University","keywords":"Database; Resolution (logic); Econometrics; Economics; Computer science; Artificial intelligence","score_opus":0.04600855165208286,"score_gpt":0.3114954301456746,"score_spread":0.26548687849359176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2145917034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99628925,0.0002700113,0.00028391293,0.00018067268,0.0002113514,0.0010366379,0.00006098841,0.000033463923,0.0016337271],"genre_scores_gemma":[0.9969055,0.0000515047,0.00034903447,0.000025837593,0.00011310472,0.00012825883,0.000019381738,0.000017007327,0.0023903933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977507,0.00035923813,0.00031041302,0.0005893303,0.00030937028,0.0006809426],"domain_scores_gemma":[0.9989678,0.00011157632,0.00007230832,0.0005159446,0.0000098718965,0.00032249273],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012580873,0.00016949042,0.00021105546,0.00005007625,0.00039842312,0.0001820791,0.00027090727,0.00012267167,0.0007964581],"category_scores_gemma":[0.00008942593,0.00015905981,0.000030740743,0.00012326322,0.00056675746,0.0007048768,0.0009848581,0.00020128896,0.0019423731],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008296755,0.00013748332,0.95990384,0.00015095073,0.000030185998,0.000027552109,0.0003430807,0.0023819096,0.004772508,0.0008610043,0.028945439,0.0023630634],"study_design_scores_gemma":[0.0011972676,0.00014324256,0.9230254,0.000051235053,0.0000068346153,0.00010788373,0.0011230271,0.05523542,0.00025678158,0.0003212056,0.018142493,0.0003891735],"about_ca_topic_score_codex":0.06421405,"about_ca_topic_score_gemma":0.00089959154,"teacher_disagreement_score":0.06331446,"about_ca_system_score_codex":0.0063724252,"about_ca_system_score_gemma":0.000029992118,"threshold_uncertainty_score":0.9988347},"labels":[],"label_agreement":null},{"id":"W2146107402","doi":"10.1007/s10668-006-9071-2","title":"Urban hinterlands—the case of an Israeli town ecological footprint","year":2007,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Vancouver Community College; University of British Columbia","funders":"Stockholm Environment Institute","keywords":"Ecological footprint; Sustainability; Ecosystem services; Consumption (sociology); Geography; Scale (ratio); Environmental quality; Natural resource economics; Value (mathematics); Ecosystem; Environmental resource management; Environmental protection; Business; Environmental planning; Environmental science; Ecology; Economics","score_opus":0.007163174055526553,"score_gpt":0.2360370575790389,"score_spread":0.22887388352351234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146107402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99551916,0.000053007752,0.0009624863,0.00038298624,0.00004742517,0.0008475254,0.0000025857455,0.000034448658,0.0021503847],"genre_scores_gemma":[0.9969009,0.000010018171,0.0018832745,0.00012975771,0.000023912557,0.00003874178,0.000008912822,0.000016088754,0.0009883774],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974007,0.00017537172,0.0006957242,0.000672435,0.00034693038,0.00070881634],"domain_scores_gemma":[0.9986304,0.00017636127,0.00015642497,0.0006673989,0.000010283043,0.00035915396],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002996453,0.000334024,0.00030939328,0.000044002256,0.00047601035,0.000034505894,0.00031679153,0.0001542079,0.001314594],"category_scores_gemma":[0.00014440238,0.00023395623,0.00009025073,0.00013446619,0.0012997014,0.00022076356,0.00076239306,0.0002723592,0.000015696709],"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":[0.00018229286,0.0011322083,0.83875436,0.00005059252,0.000028896608,0.0006660584,0.006958343,0.00017072127,0.00018226431,0.00035734157,0.00011924725,0.15139766],"study_design_scores_gemma":[0.0004976753,0.0003255396,0.9575337,0.0000024236542,0.00002121331,0.00018251246,0.0115243485,0.0001452593,0.0030991,0.00204761,0.024250418,0.00037018352],"about_ca_topic_score_codex":0.0003667808,"about_ca_topic_score_gemma":0.00032286718,"teacher_disagreement_score":0.15102749,"about_ca_system_score_codex":0.0014720631,"about_ca_system_score_gemma":0.00003446902,"threshold_uncertainty_score":0.9995983},"labels":[],"label_agreement":null},{"id":"W2146217817","doi":"10.1109/eicccc.2006.277229","title":"Sustainability For A Change: An Aerospace Perspective","year":2006,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Bombardier (Canada)","funders":"","keywords":"Aerospace; Sustainability; Aviation; Blueprint; Airframe; Engineering; Business; Aerospace engineering; Mechanical engineering","score_opus":0.013678704192403104,"score_gpt":0.29622915157485324,"score_spread":0.28255044738245017,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146217817","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701483,0.000019629895,0.002942934,0.0029252998,0.000036059537,0.0014531779,0.000009737322,0.00010075352,0.022364082],"genre_scores_gemma":[0.9914469,8.916598e-7,0.002086347,0.00026837902,0.000083601,0.00021904767,0.000009521241,0.000015034951,0.0058702757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878764,0.000047612823,0.00012983923,0.00042674853,0.00017837294,0.0004297584],"domain_scores_gemma":[0.99943197,0.00003379158,0.00003484119,0.00035559497,0.000021047956,0.00012277579],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003111678,0.00015049582,0.00012492288,0.000015054155,0.00018263824,0.00003400416,0.0001593843,0.00006590378,0.001491648],"category_scores_gemma":[0.000074547024,0.0001294055,0.000082041646,0.00012765347,0.00031668882,0.0006131096,0.0001145035,0.000064274755,0.00004100484],"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":[0.00018164748,0.0016594706,0.94976044,0.000037080776,0.000007869876,0.0000069343732,0.0033645276,0.00059361185,0.001698993,0.029978283,0.0060427706,0.006668351],"study_design_scores_gemma":[0.0005154019,0.00038866184,0.8707634,7.313303e-7,0.000012249543,0.0000029078067,0.013884473,0.0009081835,0.0011955334,0.10082212,0.011198141,0.00030818404],"about_ca_topic_score_codex":0.0143187335,"about_ca_topic_score_gemma":0.0018915198,"teacher_disagreement_score":0.078997046,"about_ca_system_score_codex":0.0019657526,"about_ca_system_score_gemma":0.000011577059,"threshold_uncertainty_score":0.9994211},"labels":[],"label_agreement":null},{"id":"W2146486851","doi":"10.1007/s11367-011-0357-8","title":"Product category rules alignment workshop, October 4, 2011 in Chicago, IL, USA","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Athena Sustainable Materials Institute","funders":"","keywords":"Product (mathematics); Session (web analytics); Harmonization; Process (computing); Government (linguistics); Scale (ratio); Best practice; Business; Political science; Process management; Public relations; Computer science; Law; Geography","score_opus":0.02519248849271551,"score_gpt":0.2922675068899214,"score_spread":0.26707501839720593,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2146486851","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98326623,0.00007411667,0.00020985882,0.0031016236,0.00046156175,0.00018877754,0.000004528925,0.000005297746,0.012688002],"genre_scores_gemma":[0.9969545,0.000117063515,0.0016600923,0.00069741206,0.00014948298,0.000010878319,0.0000021109477,0.000013054071,0.00039542117],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781257,0.00015158912,0.0006014484,0.00019865982,0.00097150647,0.00026421988],"domain_scores_gemma":[0.9991049,0.00007434904,0.0003620861,0.0002754205,0.000027495811,0.00015571131],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001282424,0.00016483715,0.00019460308,0.00006808298,0.00006504305,0.000045693654,0.00096567447,0.000040021067,0.007685332],"category_scores_gemma":[0.00006709163,0.00011006253,0.00012345394,0.00006445185,0.00023330581,0.00047242144,0.0003970227,0.0003347511,0.00019541229],"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":[0.00029266957,0.0014409052,0.97546303,0.0000049492774,0.00017177459,0.000116410905,0.002351256,0.002941113,0.0017275503,0.0006585751,0.003191799,0.011639974],"study_design_scores_gemma":[0.0005276639,0.000099339326,0.9897866,0.000014754836,0.0000178005,0.000048447608,0.00084371946,0.0002165699,0.00077769835,0.0050660633,0.0024622935,0.00013899637],"about_ca_topic_score_codex":0.0010508948,"about_ca_topic_score_gemma":0.00023967837,"teacher_disagreement_score":0.01432363,"about_ca_system_score_codex":0.000956183,"about_ca_system_score_gemma":0.00007534115,"threshold_uncertainty_score":0.99322176},"labels":[],"label_agreement":null},{"id":"W2147058642","doi":"10.1007/s11367-008-0038-4","title":"\\nUSEtox - The UNEP-SETAC toxicity model: recommended characterisation factors for human toxicity and freshwater ecotoxicity in life cycle impact assessment","year":2008,"lang":"en","type":"article","venue":"Radboud Repository (Radboud University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1508,"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":"Ecotoxicity; Process (computing); Life-cycle assessment; Environmental science; Set (abstract data type); Computer science; Engineering; Toxicity; Chemistry","score_opus":0.016008071169236568,"score_gpt":0.24129824220809515,"score_spread":0.22529017103885857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147058642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99577844,0.00001924951,0.0008268903,0.0002047173,0.00014268093,0.0010859583,0.00008719313,0.00007355521,0.0017813144],"genre_scores_gemma":[0.99811,0.00004898444,0.00025523923,0.000094228075,0.000047976555,0.000010429723,0.000052429175,0.00002936734,0.0013513592],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975975,0.00034864253,0.00039705826,0.00066081,0.00037607228,0.00061987375],"domain_scores_gemma":[0.9986889,0.00015374424,0.0002375464,0.0005487361,0.000016387432,0.00035472208],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00039197013,0.00039554742,0.00040211645,0.00013293476,0.0013824046,0.000098356184,0.00043008113,0.00022745166,0.000125932],"category_scores_gemma":[0.000037711437,0.00032081697,0.00019787563,0.00028009157,0.0005560523,0.000875302,0.00035725234,0.0003951918,0.000003263272],"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":[0.00019543781,0.0009776494,0.9137397,0.000029131086,0.000080568076,0.00006319517,0.0036434901,0.03807932,0.041995082,0.00027050122,0.00083048263,0.0000954612],"study_design_scores_gemma":[0.0014636375,0.00035431123,0.92419785,0.000010475729,0.000055811473,0.000023452563,0.0013799119,0.0642885,0.0055917576,0.00029026426,0.0017807594,0.0005632824],"about_ca_topic_score_codex":0.0021070922,"about_ca_topic_score_gemma":0.000563644,"teacher_disagreement_score":0.036403324,"about_ca_system_score_codex":0.002188517,"about_ca_system_score_gemma":0.00007752875,"threshold_uncertainty_score":0.99992436},"labels":[],"label_agreement":null},{"id":"W2147715127","doi":"10.5539/jsd.v6n6p137","title":"Quantitative Estimation of Biomass Energy and Evaluation of Biomass Utilization - A Case Study of Jilin Province, China","year":2013,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biomass (ecology); Environmental science; Renewable energy; Electricity generation; Environmental pollution; Agriculture; Global warming; Fossil fuel; Thermal power station; Greenhouse gas; Environmental protection; Natural resource economics; Environmental engineering; Waste management; Climate change; Power (physics); Ecology; Economics","score_opus":0.025524896396139064,"score_gpt":0.29380739708184084,"score_spread":0.26828250068570175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2147715127","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99710745,0.00011652414,0.0017861009,0.000029213012,0.000022551314,0.0007886588,9.78554e-7,0.0000026006805,0.00014592316],"genre_scores_gemma":[0.9964802,0.000009287139,0.003372059,0.0000026741016,0.0000027813364,0.000019935002,0.0000024591181,0.000008802906,0.00010176454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764323,0.00025159106,0.00092597766,0.00015614482,0.00082593714,0.00019710923],"domain_scores_gemma":[0.9984391,0.00005589391,0.0009927227,0.0001424745,0.00027974907,0.000090075664],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018516893,0.00014368496,0.00031109928,0.00022106164,0.00009086082,0.00001588533,0.00011350334,0.000055565695,0.00016388122],"category_scores_gemma":[0.0002375137,0.000118197946,0.000038616363,0.0003966755,0.00019043263,0.0007557475,0.00015150041,0.00005261712,5.3990067e-7],"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":[0.0007586403,0.01050665,0.6468515,0.0018477411,0.00058219914,0.00068473874,0.0982926,0.042145453,0.048116833,0.0005801264,0.0003195165,0.14931405],"study_design_scores_gemma":[0.0022243669,0.002073617,0.75313306,0.00005118048,0.00014042352,0.0001629703,0.16819482,0.022670826,0.049366686,0.0017383953,0.000034599758,0.0002090743],"about_ca_topic_score_codex":0.0032257023,"about_ca_topic_score_gemma":0.00014868187,"teacher_disagreement_score":0.14910497,"about_ca_system_score_codex":0.00074885506,"about_ca_system_score_gemma":0.00024077376,"threshold_uncertainty_score":0.48763186},"labels":[],"label_agreement":null},{"id":"W2151497132","doi":"10.1111/j.1530-9290.2009.00142.x","title":"Life Cycle Attribute Assessment","year":2009,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":66,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Université du Québec","funders":"","keywords":"Supply chain; Life-cycle assessment; Corporate social responsibility; Popularity; Business; Environmental economics; Construct (python library); Greenhouse gas; Supply chain management; Industrial ecology; Certification; Marketing; Environmental resource management; Sustainability; Economics; Computer science; Public relations; Management; Political science; Production (economics)","score_opus":0.021534284319859185,"score_gpt":0.2853770896885938,"score_spread":0.2638428053687346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2151497132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9885208,0.000010044179,0.00010009507,0.006818289,0.00043286884,0.00012989742,0.0000020725165,0.00000666881,0.003979239],"genre_scores_gemma":[0.9975201,0.000013392387,0.00043044362,0.0015841471,0.00028329674,8.2276017e-7,9.869369e-7,0.000004768402,0.00016205615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861765,0.0001632456,0.0005067647,0.00012255792,0.0002812623,0.0003085173],"domain_scores_gemma":[0.999032,0.00008092615,0.0003513854,0.00014108722,0.000011373207,0.0003831811],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00090288586,0.00011466797,0.00028840548,0.00004397432,0.00009138547,0.000020391697,0.00025279206,0.00019604083,0.0045430763],"category_scores_gemma":[0.00059658644,0.00009317526,0.00012435437,0.00014066118,0.00013547443,0.00029699234,0.00007843618,0.00049284473,0.000067247434],"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":[0.00015403956,0.0006479558,0.93222785,8.659468e-7,0.000032349115,0.00011675834,0.00010539179,0.00541167,0.0014269609,0.00009107891,0.03347558,0.026309513],"study_design_scores_gemma":[0.001679215,0.0018347442,0.9839406,0.0000036715749,0.00002998495,0.00007940404,0.00022745793,0.00009078725,0.0002501093,0.0016668574,0.01007262,0.00012454622],"about_ca_topic_score_codex":0.000019505103,"about_ca_topic_score_gemma":0.000009773039,"teacher_disagreement_score":0.051712766,"about_ca_system_score_codex":0.00080883875,"about_ca_system_score_gemma":0.00013537762,"threshold_uncertainty_score":0.9963669},"labels":[],"label_agreement":null},{"id":"W2153239776","doi":"10.5539/jsd.v5n3p84","title":"An Input-Output Analysis with an Environmentally Adjusted Agricultural and Forestry Sector in Bangladesh","year":2012,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Social accounting matrix; Environmental degradation; Natural resource economics; Environmentally friendly; Business; National accounts; Agricultural economics; Environmental quality; Valuation (finance); Environmental accounting; Allowance (engineering); Damages; Population; Resource (disambiguation); Consumption (sociology); Economics; Geography; Accounting; Operations management; Ecology","score_opus":0.007952921005352576,"score_gpt":0.21199793892473195,"score_spread":0.20404501791937937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2153239776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99896306,0.00010181151,0.0001693585,0.000068074914,0.000021831056,0.00028416846,0.000001165075,0.000009559282,0.00038095456],"genre_scores_gemma":[0.9940052,0.00001549128,0.005197482,0.00010636814,0.000040730625,0.000012717405,0.000015287027,0.0000174636,0.0005892424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976526,0.0001273998,0.00055534916,0.0002637919,0.0006300831,0.0007707789],"domain_scores_gemma":[0.9988179,0.000026882153,0.00029313317,0.00022370572,0.000020104473,0.00061822543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010438741,0.00027563563,0.00038517997,0.00023118779,0.00017060692,0.00008236775,0.0002844687,0.00010631308,0.0005397235],"category_scores_gemma":[0.000021266982,0.00019379891,0.00006397086,0.00063825544,0.00018868358,0.002436197,0.00018128297,0.0002808164,0.0000062717745],"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":[0.00016265981,0.0007245162,0.9868893,0.00002460636,0.000109764434,0.00012894302,0.0067228377,0.0027747971,0.000713169,0.000016728702,0.000035543188,0.0016971574],"study_design_scores_gemma":[0.0007334337,0.00043974625,0.95246124,0.0000082189645,0.000113321905,0.00009657986,0.043857075,0.00007284053,0.0010535425,0.00003084824,0.00083982426,0.00029332272],"about_ca_topic_score_codex":0.00018124796,"about_ca_topic_score_gemma":0.0001831273,"teacher_disagreement_score":0.037134238,"about_ca_system_score_codex":0.0020772167,"about_ca_system_score_gemma":0.000066038134,"threshold_uncertainty_score":0.79028904},"labels":[],"label_agreement":null},{"id":"W2154728976","doi":"10.3390/su2061472","title":"A Methodology for Assessing the Sustainability of Hydrogen Production from Solid Fuels","year":2010,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Biomass (ecology); Production (economics); Flexibility (engineering); Process (computing); Scale (ratio); Coal; Environmental economics; Hydrogen production; Environmental science; Dimension (graph theory); Process engineering; Environmental resource management; Waste management; Computer science; Engineering; Hydrogen; Ecology; Mathematics; Economics; Chemistry","score_opus":0.023367203410343824,"score_gpt":0.3469279153397956,"score_spread":0.3235607119294518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2154728976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98617905,0.00002149872,0.004327585,0.0059651327,0.00031774354,0.002772581,0.000025329136,0.00006469482,0.00032638485],"genre_scores_gemma":[0.99531305,0.0000018437448,0.0037045272,0.000121831654,0.00013352142,0.00029136066,0.0000184075,0.000028356908,0.00038712355],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964175,0.0008251769,0.0006833044,0.0009023399,0.0004028965,0.000768742],"domain_scores_gemma":[0.99647,0.0011214699,0.00031952115,0.0016165135,0.00029638445,0.00017612752],"candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.005437942,0.00031524317,0.00047694685,0.000040638988,0.0004926595,0.000044762204,0.0006220804,0.00025283525,0.0007191488],"category_scores_gemma":[0.016458541,0.00023314927,0.000301396,0.00037962565,0.0025642377,0.00063067937,0.00052281946,0.00052431674,0.0000054736197],"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":[0.00021285914,0.0007642682,0.92242736,0.00026152443,0.00004340707,0.0000030566919,0.00375124,0.001151474,0.042083703,0.0009481401,0.000281114,0.028071886],"study_design_scores_gemma":[0.00031731214,0.000112354785,0.5578301,0.000001983283,0.00006680146,0.0000046119217,0.0073760063,0.0003248067,0.04596173,0.38433656,0.0034070709,0.0002606412],"about_ca_topic_score_codex":0.0029278146,"about_ca_topic_score_gemma":0.0005656145,"teacher_disagreement_score":0.38338843,"about_ca_system_score_codex":0.0018501411,"about_ca_system_score_gemma":0.00031677747,"threshold_uncertainty_score":0.99182624},"labels":[],"label_agreement":null},{"id":"W2157325458","doi":"10.1007/s11367-012-0519-3","title":"Review of methods addressing freshwater use in life cycle inventory and impact assessment","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":332,"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":"Life-cycle assessment; Life cycle inventory; Scarcity; Environmental resource management; Environmental science; Computer science; Risk analysis (engineering); Business; Production (economics); Economics","score_opus":0.05985550641693069,"score_gpt":0.42815395155742125,"score_spread":0.3682984451404906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157325458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99296296,0.0033676962,0.00088726473,0.0015751777,0.0002677813,0.0002002222,0.000009202506,0.000003764096,0.0007259565],"genre_scores_gemma":[0.9842873,0.0027321845,0.011064282,0.0017618006,0.00011119133,0.0000064111114,0.0000034345815,0.000013642055,0.00001973689],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974819,0.00059020094,0.0008087733,0.00012780783,0.00071567774,0.00027568243],"domain_scores_gemma":[0.99855,0.0002746031,0.0006225784,0.00022192698,0.000040902123,0.00029002133],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0040170304,0.00016610487,0.0003424316,0.000078748926,0.00005172028,0.000058289872,0.00047440905,0.000044904096,0.0015012912],"category_scores_gemma":[0.00036276688,0.00010581898,0.00016642413,0.00010447323,0.00021587922,0.001107579,0.00043400002,0.00033424477,0.000003632078],"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":[0.000049916478,0.0004746705,0.9865591,0.00009916737,0.00013462357,0.0000055284236,0.00037127646,0.0016140207,0.0020864087,0.000058391422,0.0013018843,0.007245042],"study_design_scores_gemma":[0.0005413675,0.000094699964,0.9938639,0.0005754821,0.000044280074,0.000037822465,0.00038700402,0.0019771322,0.00019234155,0.00042303704,0.0017395043,0.00012345765],"about_ca_topic_score_codex":0.00048369626,"about_ca_topic_score_gemma":0.000039625498,"teacher_disagreement_score":0.010177017,"about_ca_system_score_codex":0.001004217,"about_ca_system_score_gemma":0.00011125769,"threshold_uncertainty_score":0.99941146},"labels":[],"label_agreement":null},{"id":"W2157753571","doi":"10.1111/j.1530-9290.2012.00503.x","title":"Biogenic Carbon and Temporary Storage Addressed with Dynamic Life Cycle Assessment","year":2012,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":291,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Carbon footprint; Environmental science; Carbon fibers; Carbon sequestration; Carbon cycle; Climate change; Biomass (ecology); Carbon neutrality; Time horizon; Environmental economics; Natural resource economics; Environmental resource management; Production (economics); Computer science; Business; Carbon dioxide; Economics; Ecology; Ecosystem","score_opus":0.015514484245359337,"score_gpt":0.25859695646799297,"score_spread":0.24308247222263363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2157753571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976221,0.00008664144,0.000015124092,0.0006120002,0.0002950659,0.00019263467,0.0000032888836,0.0000058266014,0.0011673525],"genre_scores_gemma":[0.999351,0.000022739958,0.00023999321,0.00015640323,0.00014686496,0.0000033571782,0.0000014531506,0.000012322254,0.00006583073],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871325,0.00021064474,0.0003597283,0.00012266162,0.00024564783,0.00034807093],"domain_scores_gemma":[0.99903035,0.00009533695,0.00035196086,0.00013356973,0.000007061193,0.00038174688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084222894,0.00013975611,0.0002858727,0.000058041973,0.00007796807,0.00001566015,0.0001381337,0.00018514333,0.0008181349],"category_scores_gemma":[0.000105060426,0.000102489736,0.000050245835,0.00012156389,0.000287128,0.00036825595,0.00013031963,0.00042758978,0.000005549777],"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":[0.00018369763,0.00027582623,0.9960126,0.0000027284318,0.000043777192,0.00003068114,0.00013072684,0.00053427066,0.0010301895,0.000004034454,0.0002672604,0.00148416],"study_design_scores_gemma":[0.0017775487,0.0010617346,0.9949781,0.0000066244024,0.000057378584,0.00013953495,0.00069468695,0.0002964667,0.000107592605,0.00006118486,0.0006767054,0.0001424711],"about_ca_topic_score_codex":0.00012126376,"about_ca_topic_score_gemma":0.000058921065,"teacher_disagreement_score":0.0017289697,"about_ca_system_score_codex":0.00064578344,"about_ca_system_score_gemma":0.0001030312,"threshold_uncertainty_score":0.8958004},"labels":[],"label_agreement":null},{"id":"W2158890361","doi":"10.7202/800772ar","title":"Un modèle intersectoriel incluant une fonction d’investissement et des coefficients techniques variables","year":2009,"lang":"en","type":"article","venue":"L Actualité économique","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Investment (military); Economics; Technological change; Econometrics; Consumption (sociology); Final demand; Welfare economics; Function (biology); Production (economics); Microeconomics; Macroeconomics; Political science","score_opus":0.02537819583420233,"score_gpt":0.25816314017335046,"score_spread":0.23278494433914812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158890361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658325,0.00001461531,0.017640483,0.0008346294,0.00006477501,0.00046736078,0.000009603495,0.00016060717,0.0149754435],"genre_scores_gemma":[0.9893143,0.000037577123,0.0077982433,0.0022857494,0.000030773743,0.000041346684,0.000021609554,0.00001864814,0.00045173836],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99855596,0.00014750139,0.00035098766,0.00042952315,0.000117977776,0.00039805917],"domain_scores_gemma":[0.99924976,0.000059358506,0.00010990749,0.0003780857,0.000008293884,0.00019457337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005846234,0.00025504586,0.00022248669,0.000042044805,0.00019880605,0.000068889734,0.0002574884,0.0001281802,0.0009097687],"category_scores_gemma":[0.00010056058,0.00023409071,0.00007999036,0.00018544594,0.00028073424,0.0005294864,0.00021131846,0.00017463387,0.000074818185],"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":[0.0005326518,0.0047721397,0.17089139,0.00009543476,0.0001319233,0.000055827884,0.026699185,0.007762901,0.28888553,0.054678615,0.003371412,0.44212297],"study_design_scores_gemma":[0.0010618413,0.0015846898,0.4422353,0.00007321228,0.000054457818,0.000038738148,0.0017913609,0.0021454017,0.32594398,0.18099776,0.042924337,0.0011489361],"about_ca_topic_score_codex":0.0018551747,"about_ca_topic_score_gemma":0.00017813547,"teacher_disagreement_score":0.44097406,"about_ca_system_score_codex":0.0011035909,"about_ca_system_score_gemma":0.000018345694,"threshold_uncertainty_score":0.9961329},"labels":[],"label_agreement":null},{"id":"W2159642665","doi":"10.5194/hess-14-1259-2010","title":"A global and high-resolution assessment of the green, blue and grey water footprint of wheat","year":2010,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":406,"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":"Water use; Virtual water; Environmental science; Water balance; Footprint; Agricultural engineering; Carbon footprint; Hydrology (agriculture); Water resource management; Water resources; Water scarcity; Greenhouse gas; Agronomy; Geography; Engineering; Geology","score_opus":0.0057567309063588645,"score_gpt":0.22669763256324618,"score_spread":0.22094090165688732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2159642665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99825853,0.00003276544,0.000039797742,0.0003603643,0.000090896865,0.0001612875,0.000003909639,0.0000047069707,0.0010477594],"genre_scores_gemma":[0.9997299,0.0000061165524,0.00019823128,0.000022422339,0.000006434259,0.0000032822957,2.1470149e-7,0.0000011048444,0.00003233246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918747,0.00009802662,0.0001581389,0.00021472633,0.00016217514,0.00017943379],"domain_scores_gemma":[0.9997243,0.000022619444,0.00005896215,0.00013183463,0.0000035488051,0.000058732323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00071368343,0.000075503514,0.00013712473,0.000012698103,0.00021354118,0.000011492168,0.0001100807,0.00006660483,0.00003807017],"category_scores_gemma":[0.000008105786,0.000040453695,0.000017943474,0.00006855369,0.0023525003,0.00009620324,0.00027271867,0.00006394839,8.125223e-7],"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":[0.0000069059183,0.000018009903,0.9832149,0.00003512193,0.0000033657652,5.891896e-7,0.00028224665,0.00030571944,0.013577982,0.0014227186,0.000001097476,0.0011313169],"study_design_scores_gemma":[0.00015295307,0.00016864936,0.9909277,0.0000066570083,0.000009715913,0.000049269143,0.00035298645,0.0057560573,0.0019133504,0.0005650332,0.00004821206,0.000049401977],"about_ca_topic_score_codex":0.00237423,"about_ca_topic_score_gemma":0.0015015814,"teacher_disagreement_score":0.011664632,"about_ca_system_score_codex":0.000013900889,"about_ca_system_score_gemma":0.000007694436,"threshold_uncertainty_score":0.86678857},"labels":[],"label_agreement":null},{"id":"W2160820034","doi":"10.3390/agriculture2040436","title":"The Policy Objectives of a Biofuel Industry in Canada: An Assessment","year":2012,"lang":"en","type":"article","venue":"Agriculture","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"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 Lethbridge","funders":"","keywords":"Biofuel; Agricultural economics; Subsidy; Natural resource economics; Business; Stock (firearms); Greenhouse gas; Production (economics); Ethanol fuel; Diversification (marketing strategy); Aviation biofuel; Livestock; Economics; Agriculture; Bioenergy; Biotechnology; Forestry; Market economy; Geography","score_opus":0.0046540029832905176,"score_gpt":0.2595008768065644,"score_spread":0.2548468738232739,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2160820034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920391,0.00006717705,0.0000010547295,0.00072140293,0.000035529858,0.00014426176,0.0000064613764,0.0000036381944,0.0069813887],"genre_scores_gemma":[0.9994441,0.000013302964,0.00006108358,0.00013880008,0.000043277178,0.000011495058,0.0000031824206,0.0000030171946,0.00028170922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991748,0.00008034958,0.00012494356,0.00010101144,0.00021277762,0.00030612762],"domain_scores_gemma":[0.9996321,0.000028936322,0.00005125598,0.00015991005,0.00000285919,0.00012492796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017550135,0.00008819865,0.000082278384,0.0000073572596,0.00008380696,0.00000766577,0.0001613077,0.00011031464,0.00013389197],"category_scores_gemma":[0.00003066726,0.00004538211,0.000020572183,0.00023418841,0.00010143105,0.0002509912,0.000103080194,0.00033811794,0.000003271735],"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":[0.000002488321,0.00010185322,0.9935154,0.0000024440044,0.0000030898648,7.20092e-7,0.00060252025,0.000074781594,0.0026908857,0.00017516708,0.00044940144,0.0023812947],"study_design_scores_gemma":[0.000074126016,0.000020748828,0.98865885,0.000001983495,0.0000024238982,0.0000026036041,0.0076984204,0.000005266102,0.0011154106,0.00020995316,0.0021399711,0.00007025377],"about_ca_topic_score_codex":0.83340293,"about_ca_topic_score_gemma":0.82790935,"teacher_disagreement_score":0.007405047,"about_ca_system_score_codex":0.0019308719,"about_ca_system_score_gemma":0.0001230139,"threshold_uncertainty_score":0.50491625},"labels":[],"label_agreement":null},{"id":"W2161868054","doi":"","title":"A Life Cycle Inventory of existing biomass import chains for \"green\" electricity production","year":2003,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"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":"Biomass (ecology); Sustainability; Coal; Environmental science; Life-cycle assessment; Electricity; Life cycle inventory; Production (economics); Supply chain; Waste management; Palm kernel; Business; Agricultural engineering; Engineering; Agricultural science; Palm oil; Economics; Marketing; Agronomy; Ecology","score_opus":0.02845488006350972,"score_gpt":0.2723631866650218,"score_spread":0.24390830660151208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2161868054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97856236,0.0000218141,0.0012074485,0.00018764775,0.00006179402,0.0005072367,0.0000020764326,0.000031567597,0.019418051],"genre_scores_gemma":[0.99467546,0.000003001814,0.0011179501,0.0000977395,0.000023596998,0.0000309989,0.0000029463117,0.000010912142,0.004037398],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99894446,0.000050493312,0.00024735546,0.00027476173,0.0001940862,0.00028881727],"domain_scores_gemma":[0.9994831,0.000020726025,0.00010239479,0.00022525643,0.000008081884,0.00016041317],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060534774,0.0001104902,0.00013433842,0.000028581546,0.000108562555,0.000005219701,0.00009012111,0.000051911655,0.0005049875],"category_scores_gemma":[0.00083379383,0.00009896952,0.00006736222,0.00026496273,0.00016999508,0.0001827442,0.000044237324,0.000052847256,0.000012856201],"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":[0.000041518677,0.00051057467,0.9097973,0.000085827945,0.000017478831,9.825493e-7,0.00046181394,0.00025245655,0.083536685,0.0011496112,0.001307884,0.00283784],"study_design_scores_gemma":[0.001302988,0.0008294865,0.49326152,0.000012873836,0.00006357049,0.000018920688,0.0018689818,0.0065596346,0.467701,0.009959989,0.01759463,0.00082639506],"about_ca_topic_score_codex":0.00072656723,"about_ca_topic_score_gemma":0.000112200665,"teacher_disagreement_score":0.4165358,"about_ca_system_score_codex":0.00029582524,"about_ca_system_score_gemma":0.00003110158,"threshold_uncertainty_score":0.5529259},"labels":[],"label_agreement":null},{"id":"W2163231468","doi":"10.1007/s11367-012-0489-5","title":"Identifying best existing practice for characterization modeling in life cycle impact assessment","year":2012,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":675,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Characterization (materials science); Life-cycle assessment; Computer science; Reliability engineering; Engineering; Materials science; Nanotechnology; Economics","score_opus":0.05996091326998313,"score_gpt":0.4037488930782351,"score_spread":0.34378797980825193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163231468","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.931032,0.00004830784,0.064135514,0.0024091583,0.0005919559,0.00031139766,0.0000106314865,0.00000767216,0.0014533416],"genre_scores_gemma":[0.99044526,0.00007455897,0.008243406,0.0006557159,0.0004823998,0.000023085844,0.000017306227,0.0000228931,0.000035394085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974045,0.00020409907,0.00081052445,0.00016405775,0.0010289467,0.00038782883],"domain_scores_gemma":[0.9984231,0.00032495076,0.00072337035,0.00018652389,0.00008425647,0.00025779652],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030767818,0.00018234245,0.00023431005,0.00009092642,0.00015781005,0.0001789675,0.0005769055,0.000055304303,0.00035056873],"category_scores_gemma":[0.00062292546,0.0001360207,0.00017357852,0.00012380481,0.00006449098,0.00231828,0.00028305312,0.00034141107,0.000013830981],"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":[0.00046811398,0.0027623626,0.6337791,0.000027889493,0.00037093402,0.00001943654,0.0033318077,0.32056585,0.019143386,0.0006188833,0.00010644731,0.01880575],"study_design_scores_gemma":[0.0015503131,0.00023171712,0.64087594,0.00007862443,0.000085553205,0.00007820716,0.0058937273,0.34896708,0.00012976886,0.0011709761,0.0006608362,0.00027725525],"about_ca_topic_score_codex":0.00031935252,"about_ca_topic_score_gemma":0.000014677652,"teacher_disagreement_score":0.059413217,"about_ca_system_score_codex":0.0021691849,"about_ca_system_score_gemma":0.00014660855,"threshold_uncertainty_score":0.5672343},"labels":[],"label_agreement":null},{"id":"W2165776084","doi":"10.1139/cjce-2011-0523","title":"A low carbon infrastructure plan for Toronto, Canada","year":2012,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Plan (archaeology); Green infrastructure; Carbon fibers; Environmental planning; Transport engineering; Business; Engineering; Environmental science; Computer science; Geography","score_opus":0.0028870899108248797,"score_gpt":0.16267133914637721,"score_spread":0.15978424923555234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2165776084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99379206,0.00046135997,0.0005338475,0.00007663939,0.000686028,0.000116471965,0.000017550585,0.000003692769,0.0043123458],"genre_scores_gemma":[0.9994406,0.0000029900473,0.00022137772,0.00008279213,0.00017005595,0.0000021593683,0.0000014239225,0.000014459423,0.000064118896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916834,0.0000073947826,0.00017320258,0.000057907288,0.00013644283,0.00045671442],"domain_scores_gemma":[0.9989613,0.000023573584,0.000056376855,0.000096683056,0.0000060880902,0.0008559686],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00016756351,0.00010787456,0.0001283234,0.00002021073,0.000046022033,0.000013045952,0.00014530754,0.000045631725,0.0010351196],"category_scores_gemma":[0.00008862107,0.00010205996,0.000045498084,0.00004382964,0.000026809088,0.0002492008,0.000012048643,0.00011094744,5.1463803e-7],"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":[0.0000130652625,0.000020238636,0.8523931,0.00008462036,0.000057569916,0.00005465587,0.0020027081,0.12154583,0.002700063,0.00008978335,0.018502172,0.002536199],"study_design_scores_gemma":[0.00042250808,0.00009287227,0.8596743,0.000032918426,0.000029593939,0.00015198445,0.00067256816,0.002867613,0.0011286018,0.00005270276,0.13452114,0.00035320013],"about_ca_topic_score_codex":0.57122016,"about_ca_topic_score_gemma":0.9925583,"teacher_disagreement_score":0.4213381,"about_ca_system_score_codex":0.0030073677,"about_ca_system_score_gemma":0.0002650259,"threshold_uncertainty_score":0.99987805},"labels":[],"label_agreement":null},{"id":"W2167178686","doi":"10.5194/hess-18-1349-2014","title":"Recent evolution of China's virtual water trade: analysis of selected crops and considerations for policy","year":2014,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Institute for Sustainable Development","funders":"Organization Department of the Central Committee of the Communist Party of China; Fundamental Research Funds for the Central Universities; Central European University; National Natural Science Foundation of China","keywords":"Virtual water; Water scarcity; China; Business; Environmental science; Water supply; Water use; Grain trade; Water resources; Natural resource economics; Supply chain; Agricultural economics; Water resource management; Agriculture; International trade; Environmental engineering; Economics; Geography; Agronomy; Ecology","score_opus":0.0074892795145534725,"score_gpt":0.2290850203341487,"score_spread":0.22159574081959524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2167178686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99786425,0.000044838485,0.0006201549,0.00070229865,0.000020101814,0.0001583399,0.000009511081,0.0000070790147,0.0005734438],"genre_scores_gemma":[0.9997222,0.000012606747,0.00019671865,0.000027087135,0.000007580017,0.0000054288707,0.0000024416618,0.0000014942295,0.00002448166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991525,0.00014422045,0.00020862755,0.00020507083,0.000108686545,0.00018093703],"domain_scores_gemma":[0.9996804,0.00010266462,0.00007101083,0.000085926964,0.0000056626664,0.000054343545],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00070816354,0.00006859529,0.00021412583,0.000104662126,0.00023829845,0.0000094511,0.00004871555,0.000055430595,0.00007116167],"category_scores_gemma":[0.00009625554,0.000046638663,0.00003002134,0.00033466035,0.0012070951,0.000114157716,0.00003996677,0.000028928971,8.627408e-7],"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":[0.00005334338,0.000091526264,0.93342024,0.00005730209,0.00010455744,3.590509e-7,0.0028353087,0.017285457,0.02979295,0.012990032,0.0000256982,0.0033431996],"study_design_scores_gemma":[0.00021984955,0.00054049,0.9247451,0.0000030979681,0.00010672692,0.000009758792,0.000410613,0.069358416,0.0032619436,0.0011537692,0.000118157135,0.00007212086],"about_ca_topic_score_codex":0.0005839134,"about_ca_topic_score_gemma":0.00038826707,"teacher_disagreement_score":0.052072957,"about_ca_system_score_codex":0.000030918112,"about_ca_system_score_gemma":0.000014377006,"threshold_uncertainty_score":0.44475922},"labels":[],"label_agreement":null},{"id":"W2169192787","doi":"10.1162/glep_a_00310","title":"International Carbon Trade and Domestic Climate Politics","year":2015,"lang":"en","type":"article","venue":"Global Environmental Politics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Social Sciences and Humanities Research Council","funders":"","keywords":"Greenhouse gas; Fossil fuel; Natural resource economics; Politics; International trade; Consumption (sociology); Supply chain; Business; Climate change mitigation; Economics; Political science; Waste management; Ecology; Law","score_opus":0.008647521991715526,"score_gpt":0.2498528112993194,"score_spread":0.24120528930760388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2169192787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9210517,0.00008958646,0.000018396277,0.0007234749,0.00026598093,0.00021246685,0.0002452486,0.000052434785,0.077340744],"genre_scores_gemma":[0.99788886,0.00009702133,0.0006677553,0.00080648466,0.00011955601,0.0000090155445,0.000052328778,0.000021573946,0.0003373977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99778485,0.000068463756,0.00031524786,0.0004362086,0.000598053,0.00079717],"domain_scores_gemma":[0.9987852,0.00002300434,0.00007569289,0.00032879447,0.0000010999878,0.00078621187],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00019209865,0.0002964188,0.0002071487,0.000020395695,0.0001254791,0.000053907937,0.00027219445,0.00012692818,0.0003459194],"category_scores_gemma":[0.000053137363,0.00029882244,0.00006447986,0.00007277797,0.00094800984,0.0002488645,0.0006859297,0.00015413422,0.00018048173],"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":[0.0000222685,0.00038439795,0.9927645,0.000011288197,0.000026542102,0.00008246297,0.0004538836,0.00036088793,0.0003637006,0.0028254436,0.00059530226,0.0021093634],"study_design_scores_gemma":[0.001527611,0.00027879272,0.935119,0.000007969226,0.000070600356,0.0003946747,0.002187398,0.0023548792,0.00027370916,0.012911861,0.044232182,0.0006413597],"about_ca_topic_score_codex":0.0004813399,"about_ca_topic_score_gemma":0.000009090445,"teacher_disagreement_score":0.07700335,"about_ca_system_score_codex":0.0028073662,"about_ca_system_score_gemma":0.0000140594875,"threshold_uncertainty_score":0.9999464},"labels":[],"label_agreement":null},{"id":"W2170745751","doi":"10.5539/enrr.v4n4p59","title":"Use of Environmental and Thermodynamic Indicators to Assess the Performance of an Integrated Process for Ethanol Production","year":2014,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Fundação para a Ciência e a Tecnologia; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Exergy; Bagasse; Life-cycle assessment; Environmental science; Ethanol fuel; Biofuel; Production (economics); Primary energy; Energy consumption; Pulp and paper industry; Process engineering; Waste management; Mathematics; Energy (signal processing); Engineering; Economics; Statistics","score_opus":0.0290190193608034,"score_gpt":0.3114900754709657,"score_spread":0.28247105611016227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2170745751","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986099,0.00007805446,0.000018763269,0.0001833234,0.00001926918,0.0010315542,0.000015837499,0.0000068366544,0.000036451496],"genre_scores_gemma":[0.9989762,0.00014012521,0.00025611758,0.000025037814,0.000020016876,0.000072320894,0.000011835889,0.000018667404,0.00047969102],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979573,0.00031423758,0.0002525651,0.00043854184,0.0006752971,0.00036209245],"domain_scores_gemma":[0.99914885,0.0002490762,0.00009571787,0.00035179782,0.000004488647,0.000150081],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014493881,0.00016867631,0.00019184222,0.00011170197,0.00028182278,0.000028345474,0.00027060922,0.000084484695,0.000114095106],"category_scores_gemma":[0.00015945327,0.00011045536,0.000034456756,0.0001770605,0.0014164983,0.00035764917,0.00032084133,0.00030424184,0.0000046168275],"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":[0.0005355481,0.00032815238,0.43621564,0.00011624345,0.00002624491,3.6233112e-7,0.004721918,0.0012800441,0.37451258,0.000010819392,0.000019439676,0.182233],"study_design_scores_gemma":[0.0002414401,0.0010191535,0.92529905,0.000018109251,0.000014474552,0.0000034824043,0.0014235944,0.010097171,0.057690226,0.000062292274,0.0039627305,0.00016830476],"about_ca_topic_score_codex":0.000060203514,"about_ca_topic_score_gemma":0.000010338423,"teacher_disagreement_score":0.48908338,"about_ca_system_score_codex":0.0001508231,"about_ca_system_score_gemma":0.000004763567,"threshold_uncertainty_score":0.5219147},"labels":[],"label_agreement":null},{"id":"W2171414379","doi":"10.1007/s11367-014-0779-1","title":"Development of a dynamic LCA approach for the freshwater ecotoxicity impact of metals and application to a case study regarding zinc fertilization","year":2014,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Ecotoxicity; Time horizon; Environmental science; Life-cycle assessment; Environmental engineering; Mathematics; Chemistry; Economics","score_opus":0.015301082791631974,"score_gpt":0.33465299197307075,"score_spread":0.3193519091814388,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2171414379","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8219855,0.0000082807,0.17717417,0.00018793583,0.000026767588,0.0005533783,0.0000059035087,0.0000017447844,0.000056350083],"genre_scores_gemma":[0.9865922,0.000003008735,0.013273823,0.00005459073,0.000019753701,0.000038695212,0.0000022375175,0.0000072417834,0.000008498307],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99868745,0.00010068412,0.00051209115,0.000117392956,0.0004797382,0.00010264503],"domain_scores_gemma":[0.9991309,0.00016320303,0.00041144405,0.00016685533,0.000056644974,0.0000709513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018970576,0.00009661472,0.00017802713,0.00004390139,0.000104316285,0.00002950164,0.00034193287,0.000019889327,0.000029107487],"category_scores_gemma":[0.00009568811,0.000051859908,0.00009043849,0.00006681983,0.0000779751,0.00015698769,0.00020968544,0.00007206007,4.035045e-7],"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":[0.0010151726,0.0030848917,0.5327387,0.000056606925,0.0016103369,0.000009297978,0.017140219,0.30088276,0.069455706,0.00013194834,0.00012767475,0.07374672],"study_design_scores_gemma":[0.0011374141,0.00050141563,0.7700252,0.000012193004,0.000100052726,0.00010866377,0.0074177263,0.21842964,0.0016809796,0.00035371928,0.00011548377,0.00011754506],"about_ca_topic_score_codex":0.00028441902,"about_ca_topic_score_gemma":0.0002987201,"teacher_disagreement_score":0.23728651,"about_ca_system_score_codex":0.0004929659,"about_ca_system_score_gemma":0.000041144624,"threshold_uncertainty_score":0.21147856},"labels":[],"label_agreement":null},{"id":"W2175640235","doi":"","title":"INTERNATIONAL RESIDENTIAL ENERGY END USE DATA: ANALYSIS OF HISTORICAL AND PRESENT DAY STRUCTURE AND DYNAMICS","year":2013,"lang":"en","type":"article","venue":"eScholarship (California Digital Library)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Lawrence Berkeley National Laboratory","keywords":"Loan; Geography; Library science; Business; Computer science; Finance","score_opus":0.009951127741179056,"score_gpt":0.20677139591335236,"score_spread":0.1968202681721733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2175640235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994252,0.000057716334,0.0003268314,0.0005596108,0.000053308624,0.00011529952,0.0030132625,0.000026554271,0.0015953619],"genre_scores_gemma":[0.9961606,0.000041933698,0.0006183924,0.00009389342,0.00003185903,0.000003522786,0.0016609806,0.000018171291,0.0013706457],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985154,0.00006893846,0.00031824753,0.00048154328,0.00038986732,0.00022596495],"domain_scores_gemma":[0.9990292,0.000117890086,0.00010932515,0.00048899435,0.0000054360225,0.00024912157],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00008938353,0.00017999452,0.00023458857,0.00010945628,0.00006706684,0.0006003829,0.00043394268,0.00010056682,0.0030955202],"category_scores_gemma":[0.00015302401,0.00015611721,0.000060764192,0.00029062424,0.0002857449,0.0066183796,0.0015929145,0.00015518999,0.000017741037],"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":[0.000022747747,0.000080979626,0.9866382,0.000006325977,0.00012955851,0.000005597896,0.000022893302,0.000053932825,0.00021700781,0.00014878603,0.0016998186,0.010974151],"study_design_scores_gemma":[0.00018637272,0.000032910895,0.944099,0.000003472243,0.00010649824,0.0000040010987,0.000030724463,0.008968796,0.00021879163,0.0026138192,0.043532286,0.00020332757],"about_ca_topic_score_codex":0.0006649918,"about_ca_topic_score_gemma":0.00006772587,"teacher_disagreement_score":0.042539198,"about_ca_system_score_codex":0.00022827991,"about_ca_system_score_gemma":0.000008621509,"threshold_uncertainty_score":0.9978158},"labels":[],"label_agreement":null},{"id":"W2178695184","doi":"10.3390/su71115548","title":"Evaluation of Tourism Water Capacity in Agricultural Heritage Sites","year":2015,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"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":"Chinese Academy of Sciences","keywords":"Tourism; Water use; Sustainability; Footprint; Agriculture; Water resources; Water resource management; Environmental science; Sustainable tourism; Environmental resource management; Environmental planning; Geography","score_opus":0.041636873878620896,"score_gpt":0.2718955056215214,"score_spread":0.23025863174290054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2178695184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99190944,0.00002300998,0.00001223708,0.00047497477,0.000040613777,0.00081837934,0.0000035075675,0.000020727792,0.0066970903],"genre_scores_gemma":[0.99953955,4.4165566e-7,0.00012647817,0.000021317357,0.000015119051,0.000047131256,0.000010527329,0.0000067843357,0.0002326482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972211,0.0006282476,0.00034869034,0.00034789965,0.0010171041,0.00043693624],"domain_scores_gemma":[0.9991304,0.000028845685,0.000057057805,0.00041698007,0.00019634067,0.00017033164],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005433325,0.00016404038,0.0002152149,0.000031277174,0.000047774825,0.000014919682,0.00019125498,0.00010010391,0.0009402661],"category_scores_gemma":[0.0013885547,0.000111995156,0.000074953205,0.00021165272,0.00045800867,0.00050422933,0.00026677383,0.00015531424,0.00003437326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049441827,0.00053620234,0.9802135,0.000044915403,0.0000061525557,0.000004909832,0.0074095973,0.0058440217,0.0033611972,0.000057028283,0.00023299859,0.0022400208],"study_design_scores_gemma":[0.0006744857,0.00012521357,0.9315661,0.0000019725908,0.000022888002,0.0000020611162,0.0082666455,0.00060682266,0.009353533,0.049088903,0.00012413421,0.00016722655],"about_ca_topic_score_codex":0.0026419547,"about_ca_topic_score_gemma":0.0008189233,"teacher_disagreement_score":0.049031872,"about_ca_system_score_codex":0.0062411013,"about_ca_system_score_gemma":0.000074203796,"threshold_uncertainty_score":0.999973},"labels":[],"label_agreement":null},{"id":"W2179909452","doi":"","title":"Embodied energy in agricultural inputs. Incorporating a historical perspective","year":2015,"lang":"en","type":"preprint","venue":"Repositori UJI (Universitat Jaume I)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":29,"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":"Social Sciences and Humanities Research Council of Canada","keywords":"Agriculture; Embodied energy; Electricity; Perspective (graphical); Production (economics); Environmental science; Agricultural engineering; Natural resource economics; Computer science; Economics; Geography; Engineering; Ecology; Microeconomics; Artificial intelligence","score_opus":0.012028250621985233,"score_gpt":0.22068097882746446,"score_spread":0.20865272820547923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2179909452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8063686,0.00032655662,0.00017749255,0.0014887358,0.00145636,0.00047496488,0.000016692984,0.00014045635,0.18955016],"genre_scores_gemma":[0.991748,0.000014964439,0.000992397,0.000048955884,0.00025739984,0.000016763022,0.000051672676,0.00003010586,0.006839794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969862,0.00027658223,0.00039561908,0.0010520851,0.0007401796,0.0005493175],"domain_scores_gemma":[0.9984949,0.0000503952,0.00036704482,0.00061960495,0.000057962046,0.00041007358],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003312508,0.00049824704,0.000583645,0.0001482932,0.00021644347,0.000087796776,0.0006377635,0.00051808835,0.00013294713],"category_scores_gemma":[0.00009209934,0.0004950903,0.00024652295,0.00046390563,0.00023283264,0.0006013087,0.0024905973,0.00084218336,0.000055564815],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010854336,0.005290109,0.72103494,0.00034435507,0.00061601435,0.00557875,0.07397946,0.04604748,0.014093877,0.015626471,0.11217865,0.004124474],"study_design_scores_gemma":[0.0064902506,0.0025081444,0.69326204,0.00054612785,0.00079456926,0.00047709988,0.11606315,0.0062355683,0.0019669025,0.12488,0.038171567,0.008604596],"about_ca_topic_score_codex":0.026197463,"about_ca_topic_score_gemma":0.0013895932,"teacher_disagreement_score":0.18537937,"about_ca_system_score_codex":0.038410097,"about_ca_system_score_gemma":0.00011909758,"threshold_uncertainty_score":0.9997501},"labels":[],"label_agreement":null},{"id":"W2183736835","doi":"10.14288/1.0071891","title":"Analyzing Canada’s ecological footprint embodied in international trade : a unidirectional multi‐regional input‐output approach","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Ecological footprint; Embodied cognition; Footprint; Ecology; Environmental resource management; Geography; Economics; Environmental science; Economic geography; Computer science; Sustainability; Biology; Artificial intelligence","score_opus":0.018100622440139647,"score_gpt":0.17883753551499,"score_spread":0.16073691307485033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2183736835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98745847,0.000010110527,0.00030436742,0.00011709148,0.00006300704,0.00017558754,0.000030917006,0.000019176203,0.011821303],"genre_scores_gemma":[0.99711937,0.000017206927,0.0024280588,0.00005099772,0.0000082818415,0.0000011084678,0.000017341563,0.0000061656037,0.00035149502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885416,0.00007448112,0.00014513942,0.00037766382,0.00028781587,0.00026072253],"domain_scores_gemma":[0.9996066,0.000022104421,0.00007996016,0.00014232386,0.000005710184,0.0001432923],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019939656,0.000055264652,0.00017654352,0.000027849526,0.0001383883,0.00001878137,0.0003521573,0.00008961919,0.0007874259],"category_scores_gemma":[0.000023552004,0.00015679095,0.000083070016,0.00016716665,0.0004080008,0.00018551698,0.0002578791,0.00017616087,0.000003747956],"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":[0.000022031156,0.00077937666,0.92473274,0.000009103164,0.000025028476,0.00012040854,0.0005704645,0.00024533935,0.00005075989,0.0000036842955,0.00050144445,0.0729396],"study_design_scores_gemma":[0.00066934264,0.000034318018,0.99458414,0.000008365287,0.000008673939,0.000032741544,0.002671573,0.0012189278,0.0000010210846,0.00011690229,0.0004930352,0.00016094347],"about_ca_topic_score_codex":0.940719,"about_ca_topic_score_gemma":0.98657393,"teacher_disagreement_score":0.07277866,"about_ca_system_score_codex":0.0011652157,"about_ca_system_score_gemma":0.00008869554,"threshold_uncertainty_score":0.8621761},"labels":[],"label_agreement":null},{"id":"W2194022769","doi":"10.11575/prism/25657","title":"Development of a LCA Screening Tool: Assessment of Biochar in the Removal of Organic Carbon in SAGD Produced Water","year":2014,"lang":"en","type":"dissertation","venue":"PRISM (University of Calgary)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biochar; Waste management; Environmental science; Total organic carbon; Environmental chemistry; Environmental engineering; Engineering; Pulp and paper industry; Chemistry; Pyrolysis","score_opus":0.008649119309289561,"score_gpt":0.212654301701995,"score_spread":0.20400518239270546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2194022769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99484277,0.000024162595,0.0005008056,0.000033434397,0.000022806822,0.0004690716,3.9797524e-7,0.0000031599336,0.0041034212],"genre_scores_gemma":[0.985023,0.000014929749,0.01439451,0.000004394066,0.0000014718202,8.42781e-7,0.0000631282,0.0000096554495,0.0004880376],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985235,0.00013945404,0.0003715186,0.00026746938,0.00049570587,0.00020237065],"domain_scores_gemma":[0.9993071,0.000027280657,0.00030817869,0.0003157552,0.000012189169,0.000029480127],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008463511,0.0001584611,0.00040053795,0.00013386195,0.000037264195,0.0000019796362,0.00041088465,0.00015377779,0.000256864],"category_scores_gemma":[0.000022021477,0.00013667996,0.000079267855,0.00018941806,0.0001670309,0.00009115668,0.00017037413,0.000208633,0.0000014254971],"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":[0.0003757953,0.00087485666,0.2606999,0.00094349467,0.00006894321,0.000040501727,0.06146967,0.00003108295,0.61109906,0.00003673104,0.000013014113,0.064346984],"study_design_scores_gemma":[0.0005600811,0.00009086546,0.92398566,0.00011615996,0.000036341986,0.0000010764975,0.004026367,0.0007149318,0.07007875,0.000058627673,0.00016259527,0.00016856694],"about_ca_topic_score_codex":0.0025199517,"about_ca_topic_score_gemma":0.000901518,"teacher_disagreement_score":0.66328573,"about_ca_system_score_codex":0.0002944596,"about_ca_system_score_gemma":0.00006856713,"threshold_uncertainty_score":0.5573647},"labels":[],"label_agreement":null},{"id":"W2206725513","doi":"10.1007/s12665-015-4484-6","title":"A path-based structural decomposition analysis of Beijing’s water footprint evolution","year":2015,"lang":"en","type":"article","venue":"Environmental Earth Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; Ministry of Science and Technology of the People's Republic of China","keywords":"Beijing; Restructuring; Virtual water; Environmental science; Decomposition; Water use; Environmental engineering science; Footprint; Environmental engineering; Water resources; Chemistry; Biogeosciences; Business; Geology; Geography; Water scarcity; China; Earth science","score_opus":0.010378676037304684,"score_gpt":0.24969026250801687,"score_spread":0.23931158647071218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2206725513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99693966,0.000035147546,0.0009540226,0.00009828606,0.00008106628,0.00021928763,0.000019918843,0.000024152658,0.0016284835],"genre_scores_gemma":[0.9975232,0.0000017204424,0.0022142332,0.000071922506,0.00001192842,0.000009330037,0.00004140879,0.0000073504602,0.000118932054],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99774295,0.00012553055,0.00034045576,0.00047990392,0.0008704499,0.0004407304],"domain_scores_gemma":[0.9993259,0.000025103242,0.00011302895,0.00029262507,0.0000022924655,0.00024110606],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000680377,0.00019845967,0.00025439935,0.00014334898,0.00024386504,0.000036842215,0.00031332558,0.00006654516,0.002074596],"category_scores_gemma":[0.000015609205,0.00014552815,0.00017830971,0.0004528436,0.001538568,0.0003646832,0.0002563581,0.000095317715,0.00012934959],"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":[0.000030406763,0.000113906695,0.8748059,0.0000031884763,0.000031486416,0.0000027384342,0.0005879873,0.08252691,0.04110945,0.0000298513,0.0000061515425,0.0007519813],"study_design_scores_gemma":[0.00033741054,0.00034824564,0.9289717,0.0000031679917,0.00012875983,0.0000026269713,0.00085149804,0.040521897,0.02799614,0.00045624518,0.00015906691,0.00022325582],"about_ca_topic_score_codex":0.0005471328,"about_ca_topic_score_gemma":0.00012612705,"teacher_disagreement_score":0.05416574,"about_ca_system_score_codex":0.00036239965,"about_ca_system_score_gemma":0.000015366422,"threshold_uncertainty_score":0.99883765},"labels":[],"label_agreement":null},{"id":"W2234172551","doi":"10.1142/s1464333215500210","title":"Tax and Subsidy Policies to Encourage the Use of Recyclable Material","year":2015,"lang":"en","type":"article","venue":"Journal of Environmental Assessment Policy and Management","topic":"Environmental Impact and Sustainability","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 Guelph","funders":"","keywords":"Subsidy; Production (economics); Carbon tax; Greenhouse gas; Revenue; Natural resource economics; Process (computing); Tax revenue; Business; Economics; Environmental economics; Public economics; Microeconomics; Market economy; Finance; Computer science","score_opus":0.028502509351558077,"score_gpt":0.2882868185479627,"score_spread":0.2597843091964046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2234172551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943255,0.00003766499,0.00020915706,0.0023810526,0.00009083593,0.0004311209,0.00003482703,0.000004186479,0.0024856504],"genre_scores_gemma":[0.992455,0.00067168125,0.0040966906,0.0009027317,0.00007421876,0.000010034346,0.0000020803855,0.000014502985,0.0017730637],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983264,0.00013233894,0.0004782684,0.00019278421,0.0005615854,0.00030858995],"domain_scores_gemma":[0.99908245,0.0000513904,0.00028143133,0.0002559004,0.0000034468335,0.00032537707],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006586158,0.00019986798,0.0002597042,0.00010109665,0.00011638861,0.00008698264,0.00022230434,0.000043850065,0.00020987242],"category_scores_gemma":[0.000029902127,0.00013715358,0.00006154028,0.00012784962,0.00041840744,0.0005690932,0.0008082467,0.000120550416,0.0000075160997],"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":[0.0014014959,0.0034439377,0.7456926,0.00031406066,0.0007837875,0.00025820083,0.012931823,0.012375997,0.068583086,0.008811944,0.04839431,0.09700873],"study_design_scores_gemma":[0.00093719194,0.00090364425,0.85333014,0.00002702272,0.0001048033,0.00007892162,0.003927446,0.000082742234,0.0014065595,0.0012527202,0.13770579,0.0002430134],"about_ca_topic_score_codex":0.0005631159,"about_ca_topic_score_gemma":0.000026623373,"teacher_disagreement_score":0.107637525,"about_ca_system_score_codex":0.0005707872,"about_ca_system_score_gemma":0.000012904268,"threshold_uncertainty_score":0.5592961},"labels":[],"label_agreement":null},{"id":"W2236019781","doi":"10.1016/j.apenergy.2015.11.075","title":"Uncovering driving forces on greenhouse gas emissions in China’ aluminum industry from the perspective of life cycle analysis","year":2016,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":69,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"National Science Fund for Distinguished Young Scholars; National Natural Science Foundation of China","keywords":"Greenhouse gas; Environmental science; Production (economics); Embodied energy; Natural resource economics; Life-cycle assessment; China; Resource (disambiguation); Environmental engineering; Economics; Geography","score_opus":0.0050440497818637605,"score_gpt":0.213901887817522,"score_spread":0.20885783803565824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2236019781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98507094,0.000011183952,0.00027515314,0.00043447103,0.000014216706,0.000067029076,0.000009374712,0.000016386884,0.014101252],"genre_scores_gemma":[0.99950397,0.000024694013,0.00006011785,0.00014195994,0.000027460503,0.000018811057,0.0000024378123,0.000012744926,0.00020779847],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989022,0.00004970259,0.00020630636,0.00032736693,0.00025780598,0.0002566223],"domain_scores_gemma":[0.9991909,0.00017641451,0.00009191097,0.00042042744,0.0000017908276,0.000118505304],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014624433,0.00014492254,0.0002029359,0.000042085227,0.00009584028,0.000010373665,0.00026847384,0.000119559394,0.0013326736],"category_scores_gemma":[0.00007173569,0.00008555605,0.00009028373,0.00040030593,0.00024212523,0.00010317098,0.000248595,0.00014448866,0.000011973015],"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":[0.00006428024,0.00027499266,0.90348995,0.000001212831,0.00012302611,0.0000031166687,0.0019771685,0.06498244,0.016871685,0.0018048798,0.00010776052,0.010299507],"study_design_scores_gemma":[0.0003353599,0.00004069151,0.9779981,0.000010602911,0.00004479901,1.1330877e-7,0.0027621777,0.00029173034,0.0078351535,0.010295588,0.00022913948,0.00015659528],"about_ca_topic_score_codex":0.023231395,"about_ca_topic_score_gemma":0.0048710457,"teacher_disagreement_score":0.074508116,"about_ca_system_score_codex":0.00048146595,"about_ca_system_score_gemma":0.000011804474,"threshold_uncertainty_score":0.99958026},"labels":[],"label_agreement":null},{"id":"W2242187036","doi":"10.4000/books.editionscnrs.10727","title":"18. Empreinte environnementale des énergies renouvelables","year":2013,"lang":"fr","type":"book-chapter","venue":"CNRS Éditions eBooks","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Political science; Humanities; Geography; Art","score_opus":0.025148933481233177,"score_gpt":0.23055137780107898,"score_spread":0.2054024443198458,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2242187036","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1785875,0.00051109685,0.0003961159,0.00024790884,0.00040800587,0.0012881118,0.0005715228,0.00014104496,0.8178487],"genre_scores_gemma":[0.357069,0.0005865113,0.0033982333,0.00030207037,0.00017799214,0.00020756129,0.00022353148,0.00014792144,0.6378872],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9956987,0.00014970147,0.0009568862,0.0012222977,0.00072685065,0.0012455983],"domain_scores_gemma":[0.99736756,0.0001788861,0.00038505744,0.0013561357,0.0000254667,0.00068688515],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.00030278458,0.0011282038,0.0007314999,0.00017118362,0.0048290323,0.00023107803,0.00078891247,0.0005597051,0.2991657],"category_scores_gemma":[0.000052434018,0.0011812449,0.0005857215,0.000047044497,0.02231423,0.0006745065,0.001026528,0.00082545565,0.021291224],"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":[0.00015166806,0.0019485602,0.011490781,0.0013461715,0.0012985893,0.0006491165,0.0059194705,0.002621602,0.03843565,0.5251535,0.10332494,0.30765995],"study_design_scores_gemma":[0.0012025123,0.00091694255,0.02697278,0.0007150389,0.00063474773,0.00024362517,0.0038321228,0.00023034072,0.009826552,0.24753512,0.70478225,0.0031079447],"about_ca_topic_score_codex":0.0017747092,"about_ca_topic_score_gemma":0.00034367532,"teacher_disagreement_score":0.6014573,"about_ca_system_score_codex":0.0025765756,"about_ca_system_score_gemma":0.000062688894,"threshold_uncertainty_score":0.99906373},"labels":[],"label_agreement":null},{"id":"W2257050542","doi":"","title":"Optimisation de la gestion et de la mise en valeur des plastiques récupérés au Québec","year":2009,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Philosophy","score_opus":0.007221737997108098,"score_gpt":0.22869868733456394,"score_spread":0.22147694933745585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2257050542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.940492,0.0020970618,0.02072573,0.00071230915,0.000082375926,0.0002013144,0.000013130852,0.000023032719,0.035653044],"genre_scores_gemma":[0.98531514,0.00118162,0.010269365,0.00003684727,0.000039610135,3.4103485e-7,0.000004360095,0.0000075325856,0.0031451955],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99792486,0.001081162,0.00019783857,0.00024233814,0.00025952005,0.00029430387],"domain_scores_gemma":[0.999145,0.00034678925,0.00009036329,0.00022989993,0.00002100831,0.00016696437],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00095059024,0.00020318873,0.0001976223,0.000052274394,0.000520495,0.000022336642,0.00047549763,0.00031324662,0.00019713568],"category_scores_gemma":[0.00025544915,0.00020668759,0.000208808,0.0001539522,0.0035298907,0.00054710027,0.00022401642,0.00033568486,0.000031043044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003524052,0.0021098335,0.39736813,0.0011976566,0.00008899692,0.000036700618,0.07047839,0.35049042,0.140683,0.008729939,0.00092167227,0.02754288],"study_design_scores_gemma":[0.00056224247,0.00016044038,0.94712216,0.0009228879,0.00014507682,0.00006961228,0.0006383199,0.00918557,0.02872285,0.0016114789,0.010668244,0.000191149],"about_ca_topic_score_codex":0.07630921,"about_ca_topic_score_gemma":0.040532388,"teacher_disagreement_score":0.549754,"about_ca_system_score_codex":0.01352383,"about_ca_system_score_gemma":0.00057163107,"threshold_uncertainty_score":0.9991819},"labels":[],"label_agreement":null},{"id":"W2259887406","doi":"10.2139/ssrn.1299037","title":"Understanding Errors in EIA Projections of Energy Demand","year":2008,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Energy demand; Energy (signal processing); Economics; Natural resource economics; Statistics; Mathematics","score_opus":0.02711888671322257,"score_gpt":0.2391559541329194,"score_spread":0.21203706741969683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2259887406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98385096,0.00012568997,0.0084445765,0.00013877443,0.000034213972,0.00006493584,3.80411e-7,0.000007134804,0.0073333504],"genre_scores_gemma":[0.9975566,0.0010799874,0.000056577406,0.0000217866,0.00001624077,0.0000026011214,6.4502194e-7,0.000008908932,0.0012565968],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825317,0.000078838384,0.00023062593,0.00013613739,0.000225578,0.0010756743],"domain_scores_gemma":[0.9997212,0.00001905728,0.00008779493,0.000106076994,0.0000023519428,0.00006347144],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065582054,0.00009654966,0.00012464874,0.000071341994,0.00019122573,0.0000049892747,0.00013215317,0.00005086733,0.00025771876],"category_scores_gemma":[0.000026922105,0.00008583619,0.000066982604,0.00025672757,0.00023450056,0.00024555673,0.000051902924,0.00053095486,0.000008432682],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000040944607,0.00021499231,0.9862479,0.0000024163091,0.00001985342,0.000008592826,0.000638666,0.002085342,0.000907144,0.009406817,0.00006642435,0.00036091276],"study_design_scores_gemma":[0.0015684438,0.00083552196,0.5764565,0.000017703664,0.000026147536,0.0012939867,0.014021315,0.0007720259,0.0016183436,0.4023938,0.00057597883,0.00042026077],"about_ca_topic_score_codex":0.0008604152,"about_ca_topic_score_gemma":0.005876991,"teacher_disagreement_score":0.4097914,"about_ca_system_score_codex":0.0046893647,"about_ca_system_score_gemma":0.0002120471,"threshold_uncertainty_score":0.99913144},"labels":[],"label_agreement":null},{"id":"W2265189162","doi":"","title":"Building consensus on a generic water scarcity indicator for LCA-based water footprint: preliminary results from WULCA","year":2014,"lang":"en","type":"article","venue":"Joint Research Centre (European Commission)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"Water scarcity; Natural resource economics; Water use; Environmental resource management; Environmental science; Resource (disambiguation); Watershed; Water resource management; Scarcity; Environmental economics; Water resources; Business; Ecology; Computer science; Economics","score_opus":0.04852162067106423,"score_gpt":0.29370040282867876,"score_spread":0.24517878215761452,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2265189162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.969581,0.000007881171,0.0003212881,0.0078055863,0.000116198426,0.0011376342,0.00005915035,0.00009854752,0.020872679],"genre_scores_gemma":[0.9934538,0.000003618346,0.0033880956,0.0002990942,0.00016704579,0.000023357808,0.00013072275,0.000074998294,0.0024592797],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.993547,0.002207482,0.0006039447,0.001046391,0.0011672741,0.0014278757],"domain_scores_gemma":[0.99714935,0.0006582926,0.00008588248,0.0012519213,0.000035243742,0.000819308],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004750489,0.0003618131,0.0003305033,0.00014526687,0.0008735228,0.00014549882,0.0006957244,0.000112211266,0.0016580528],"category_scores_gemma":[0.0010091377,0.00022271404,0.00021180075,0.00013087492,0.00067721575,0.00008465743,0.0014390231,0.0006748451,0.0017811165],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016547047,0.0052933972,0.041510455,0.00032803387,0.00013504359,0.00068709144,0.005529091,0.0071434164,0.690145,0.00042694103,0.098537356,0.13371709],"study_design_scores_gemma":[0.0036864616,0.0015359488,0.11669865,0.00011530102,0.000023280276,0.000005724946,0.00035101426,0.007519601,0.47850955,0.0014994341,0.3894126,0.00064243865],"about_ca_topic_score_codex":0.0004271544,"about_ca_topic_score_gemma":0.000019036746,"teacher_disagreement_score":0.29087526,"about_ca_system_score_codex":0.0010755679,"about_ca_system_score_gemma":0.00002365392,"threshold_uncertainty_score":0.9992546},"labels":[],"label_agreement":null},{"id":"W2267706559","doi":"10.4236/jss.2016.41015","title":"Parametric Characterization of an Industrial Production Technology: The Canadian Sawmilling Industry’s Case","year":2016,"lang":"en","type":"article","venue":"Open Journal of Social Sciences","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"","funders":"College of Engineering, Michigan State University; University of Toronto; Michigan State University","keywords":"Technological change; Economics; Production (economics); Production function; Technical progress; Capital (architecture); Productivity; Capital good; Total factor productivity; Technical change; Econometric model; Industrial production; Factors of production; Industrial organization; Macroeconomics; Econometrics; Economy; Goods and services","score_opus":0.051670573291514255,"score_gpt":0.31169939764219373,"score_spread":0.2600288243506795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267706559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9916932,0.0000026855787,0.000007941799,0.006987215,0.00016884464,0.00020904167,0.000004609365,0.0000019320594,0.00092453026],"genre_scores_gemma":[0.9995977,0.0000042312026,0.000115394316,0.000049171893,0.00010922346,0.000002111423,2.2789149e-7,0.000002923535,0.000118997836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989228,0.000128928,0.00027410281,0.00013469964,0.00032948068,0.00020995541],"domain_scores_gemma":[0.9993881,0.000022681379,0.00037577594,0.000089786416,0.000023825483,0.00009983895],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002227334,0.00006783709,0.00012457132,0.000115222414,0.00083997694,0.000094768686,0.0006238598,0.00015467129,0.00044398702],"category_scores_gemma":[0.0003680175,0.00003587959,0.00002979404,0.0010579816,0.0013305113,0.0012501599,0.00011979151,0.00021652765,0.0000042408865],"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":[0.000044897664,0.00015452229,0.6727037,0.0000018801163,0.000015644351,0.00008332154,0.0018391479,0.00009314907,0.035878524,0.00029729007,0.00018304556,0.2887049],"study_design_scores_gemma":[0.0012121069,0.0014869642,0.9134164,0.000067337336,0.00007244264,0.0014686884,0.015825653,0.000051156832,0.048307113,0.0062994068,0.011326018,0.00046671386],"about_ca_topic_score_codex":0.013817831,"about_ca_topic_score_gemma":0.014194393,"teacher_disagreement_score":0.28823817,"about_ca_system_score_codex":0.00046848893,"about_ca_system_score_gemma":0.00019876371,"threshold_uncertainty_score":0.9927492},"labels":[],"label_agreement":null},{"id":"W2267845806","doi":"10.3390/en9020072","title":"Visualization of International Energy Policy Research","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Science Foundation","keywords":"Visualization; Context (archaeology); Management science; Data science; Scale (ratio); Energy policy; Computer science; Engineering; Renewable energy; Artificial intelligence","score_opus":0.019851711989232957,"score_gpt":0.3432789212808202,"score_spread":0.32342720929158725,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2267845806","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9536321,0.000016640268,0.0005262515,0.00092714495,0.00005206514,0.00002577377,0.0000034115617,0.000015556709,0.04480105],"genre_scores_gemma":[0.9903902,0.000138836,0.00010431365,0.000045552028,0.000059409416,0.0000066692396,0.000002253524,0.0000060380034,0.009246727],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991685,0.000073691655,0.00011272986,0.00012706943,0.00035688383,0.00016111704],"domain_scores_gemma":[0.9997037,0.00006162872,0.000028732955,0.00015435251,0.000009897125,0.000041697167],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002532341,0.000049130835,0.00005319247,0.00006700892,0.00004626561,0.0000076529595,0.00017964977,0.000031590876,0.0021783086],"category_scores_gemma":[0.00017495824,0.000032552078,0.000025564268,0.0001767344,0.0003943812,0.00021566216,0.00024367355,0.000018608369,0.000050136074],"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":[0.00004971921,0.00020141614,0.49155447,0.0000050612907,0.000014386719,0.0000028727234,0.0006683832,0.001075414,0.33958757,0.097650856,0.005769405,0.063420445],"study_design_scores_gemma":[0.00037862654,0.0001172463,0.5085871,0.000014263627,0.0000020470413,0.0000022084776,0.00039837882,0.000100668185,0.29817164,0.020468246,0.17161323,0.00014634419],"about_ca_topic_score_codex":0.0013516527,"about_ca_topic_score_gemma":0.000052543746,"teacher_disagreement_score":0.16584383,"about_ca_system_score_codex":0.00031606012,"about_ca_system_score_gemma":0.0000115710845,"threshold_uncertainty_score":0.9987338},"labels":[],"label_agreement":null},{"id":"W2269263368","doi":"10.1007/s11356-015-5856-x","title":"A hybrid study of multiple contributors to per capita household CO2 emissions (HCEs) in China","year":2015,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Per capita; Per capita income; Urbanization; China; Economics; Agricultural economics; Demographic economics; Socioeconomics; Economic growth; Geography; Population; Demography; Environmental health; Medicine","score_opus":0.04240479880926757,"score_gpt":0.3283238119101371,"score_spread":0.28591901310086953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2269263368","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99722534,0.000044620596,0.000009808589,0.00046458718,0.00004594769,0.0011070585,0.000041344392,0.000011961625,0.0010493299],"genre_scores_gemma":[0.9993633,0.000017839502,0.00006524178,0.00007521027,0.000013460646,0.000051644278,0.0000027461901,0.000010660421,0.00039991326],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597466,0.00028674712,0.00031689464,0.0006179574,0.0020264525,0.0007772679],"domain_scores_gemma":[0.99865484,0.00005008472,0.000049426315,0.0004261876,0.0000076511005,0.00081183645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0042378004,0.00016494677,0.00020493405,0.00024590496,0.00044616376,0.00005285701,0.00049065804,0.000047039593,0.00057760114],"category_scores_gemma":[0.0003911837,0.00014147176,0.000026183096,0.0005595375,0.0019623938,0.0005440841,0.0011771669,0.0002991501,0.00017920526],"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":[0.00010517666,0.0014442378,0.92629313,0.0000030920673,0.0000026829841,0.000014775718,0.0075415,0.0020945373,0.059625298,0.000010748337,0.00073403696,0.0021307925],"study_design_scores_gemma":[0.0010874956,0.00090337504,0.9744092,0.000005438749,0.0000030012327,0.000006713306,0.015605078,0.0005141206,0.005357107,0.00013164699,0.0018079032,0.00016888326],"about_ca_topic_score_codex":0.005534787,"about_ca_topic_score_gemma":0.0003553313,"teacher_disagreement_score":0.054268192,"about_ca_system_score_codex":0.0018133727,"about_ca_system_score_gemma":0.00006810235,"threshold_uncertainty_score":0.836698},"labels":[],"label_agreement":null},{"id":"W2273057662","doi":"10.1021/acs.est.5b03015","title":"The North American Electric Grid as an Exchange Network: An Approach for Evaluating Energy Resource Composition and Greenhouse Gas Mitigation","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"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":"Greenhouse gas; Electricity; Consistency (knowledge bases); Range (aeronautics); Grid; Environmental economics; Environmental science; Electricity generation; Resource (disambiguation); Electric power; Environmental engineering; Engineering; Power (physics); Computer science; Geography; Electrical engineering; Economics","score_opus":0.01272403555813634,"score_gpt":0.2567944816522965,"score_spread":0.24407044609416018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2273057662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99619186,0.00011325983,0.0021420044,0.00032183895,0.00003974342,0.0005868025,0.000007263875,0.00010932359,0.00048788844],"genre_scores_gemma":[0.99441534,0.00007200615,0.004824992,0.0002632296,0.000071209186,0.0001873839,0.00006277111,0.000026128366,0.00007696488],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99712133,0.0001743098,0.00027562596,0.00084375544,0.0006759688,0.000908994],"domain_scores_gemma":[0.9987267,0.00004665556,0.00020454841,0.00061136886,0.0000056742824,0.00040503166],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0014541479,0.0002530578,0.00019438825,0.000113546834,0.0014367213,0.000101190446,0.00071178115,0.00008825408,0.000020127292],"category_scores_gemma":[0.00006502422,0.00020653367,0.00003567618,0.0010511202,0.0047122957,0.0008238942,0.00053412246,0.00019389468,0.000011309137],"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":[0.00024921907,0.00078775664,0.4704472,0.0000052013434,0.000011858715,0.0000051878437,0.0013466678,0.010606505,0.050924577,0.0004921609,0.00023460727,0.46488905],"study_design_scores_gemma":[0.0020643666,0.011974302,0.7143429,0.0000067349765,0.00010179754,0.000286919,0.0139711015,0.21219276,0.019234447,0.009385379,0.014893353,0.0015459575],"about_ca_topic_score_codex":0.00035646665,"about_ca_topic_score_gemma":0.0002371344,"teacher_disagreement_score":0.46334308,"about_ca_system_score_codex":0.0011557369,"about_ca_system_score_gemma":0.000027016224,"threshold_uncertainty_score":0.99986327},"labels":[],"label_agreement":null},{"id":"W2275431078","doi":"10.14288/1.0075499","title":"The Environmental Impact of Paper Waste Recycling: A Comparative Study","year":2016,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Environmental impact assessment; Environmental science; Environmental planning; Waste management; Engineering; Political science","score_opus":0.008740006425870101,"score_gpt":0.20478742641210906,"score_spread":0.19604741998623895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2275431078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981508,0.000035260513,0.000029127737,0.000036634832,0.000028776447,0.0004598445,0.00009544514,0.000012447297,0.0011516374],"genre_scores_gemma":[0.9983846,0.00007295967,0.00003609426,0.000005549637,0.0000069119183,8.738039e-7,0.000001922447,0.0000079619285,0.0014831497],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987218,0.00015737943,0.00017427062,0.00031806217,0.00034516086,0.0002833415],"domain_scores_gemma":[0.999175,0.000119980454,0.00016626276,0.00040191112,0.0000063583707,0.00013045657],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032150798,0.000063111795,0.00024499718,0.000010078443,0.00031265983,0.000025330677,0.00040120233,0.000052239855,0.001558919],"category_scores_gemma":[0.000019473282,0.00010786853,0.00019380442,0.00011486258,0.0012993792,0.00043981403,0.0003734428,0.00008061164,0.00006341365],"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":[0.00004816791,0.0005916842,0.8541427,0.0000028642282,0.0000620562,0.000019438794,0.0010095728,0.000028856579,0.0075871083,1.0360412e-7,0.000730254,0.13577718],"study_design_scores_gemma":[0.0010598416,0.00054915145,0.98744076,0.00001559756,0.000027980372,0.000008189576,0.010475851,0.000022830824,0.0000132260775,0.00012507549,0.00012501384,0.00013649094],"about_ca_topic_score_codex":0.051720414,"about_ca_topic_score_gemma":0.08173942,"teacher_disagreement_score":0.13564068,"about_ca_system_score_codex":0.000487981,"about_ca_system_score_gemma":0.00001573629,"threshold_uncertainty_score":0.99935377},"labels":[],"label_agreement":null},{"id":"W2284237286","doi":"10.1111/jiec.12396","title":"Assessing the Global Operational Footprint of Higher Education with Environmentally Extended Global Multiregional Input‐Output Models","year":2016,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Norges Teknisk-Naturvitenskapelige Universitet; University of Waterloo; University of Toronto; Purdue University","keywords":"Carbon footprint; Upstream (networking); Natural resource economics; Ecological footprint; Environmental science; Agriculture; Input–output model; Greenhouse gas; Agricultural economics; Footprint; Business; Material flow analysis; Consumption (sociology); Environmental resource management; Sustainability; Economics; Geography; Engineering; Ecology","score_opus":0.03619930954193672,"score_gpt":0.30284457458773995,"score_spread":0.2666452650458032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284237286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99103934,0.000024424317,0.00077792455,0.0046633556,0.00041663263,0.0002460276,0.000011582565,0.000003934355,0.0028167993],"genre_scores_gemma":[0.99795324,0.000009335487,0.0011747711,0.00033891617,0.00023578177,0.000007565258,0.0000017266362,0.0000069575767,0.000271684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99820584,0.00024558496,0.0005692652,0.00019883228,0.0005156413,0.00026485237],"domain_scores_gemma":[0.9989596,0.000114765135,0.0005507559,0.00019411699,0.000026745642,0.00015403135],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00054420024,0.00016980807,0.00025935363,0.000019956413,0.00012714331,0.00003366875,0.00034844546,0.00018578222,0.001093543],"category_scores_gemma":[0.00007639643,0.00008926327,0.00010913581,0.00013108569,0.0007606653,0.00062544097,0.00018358261,0.00018929296,0.000010813068],"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":[0.00038114993,0.0009082381,0.9335503,0.0000021885774,0.000080238395,0.000012437452,0.000061500694,0.005774035,0.0011885938,0.0021951883,0.00079974206,0.055046413],"study_design_scores_gemma":[0.0019743822,0.0006299843,0.98683095,0.000025592346,0.000050533225,0.00019017252,0.00034976186,0.0000620357,0.00029198892,0.0074252225,0.0020291298,0.00014024413],"about_ca_topic_score_codex":0.000102721475,"about_ca_topic_score_gemma":0.0000449615,"teacher_disagreement_score":0.05490617,"about_ca_system_score_codex":0.0024212548,"about_ca_system_score_gemma":0.00035916746,"threshold_uncertainty_score":0.9998196},"labels":[],"label_agreement":null},{"id":"W2284626793","doi":"","title":"Energy Efficiency Measures in Canada’s Iron and Steel Industry","year":2016,"lang":"en","type":"article","venue":"World Academy of Science, Engineering and Technology, International Journal of Energy and Power Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Energy (signal processing); Manufacturing engineering; Business; Engineering; Industrial organization; Electrical engineering; Mathematics; Statistics","score_opus":0.003427370810098314,"score_gpt":0.19568658278802356,"score_spread":0.19225921197792525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2284626793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99688804,0.0004835653,0.0007218159,0.0015391491,0.00013831054,0.000015865338,0.0000021465698,0.000009402845,0.0002017258],"genre_scores_gemma":[0.9992289,0.00027205303,0.00036093802,0.000041388426,0.000016762933,0.0000012672505,5.3847685e-8,0.0000061322785,0.000072509756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998975,0.0000054432376,0.0002811985,0.00017018979,0.0003389815,0.00022921921],"domain_scores_gemma":[0.99966687,0.000059500468,0.000091878705,0.000048785354,0.000013263772,0.00011968568],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034045117,0.00012370874,0.00015849688,0.0005320422,0.000033030672,0.000012612862,0.00029039706,0.000095759904,0.000019975185],"category_scores_gemma":[0.00011242696,0.0000940735,0.000015232119,0.000381718,0.00046589065,0.00029969605,0.00019620388,0.00023067239,5.069288e-8],"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":[0.000031300133,0.00006815284,0.6699063,0.000017613787,0.000048025347,0.000047391753,0.00014902974,0.03495073,0.21494551,0.037486453,0.000119334436,0.04223012],"study_design_scores_gemma":[0.0013490613,0.0001481947,0.8704362,0.0003986329,0.000017206454,0.00037252874,0.00033080945,0.008791863,0.07318523,0.00075123017,0.04365098,0.00056805275],"about_ca_topic_score_codex":0.002948548,"about_ca_topic_score_gemma":0.0017328105,"teacher_disagreement_score":0.20052986,"about_ca_system_score_codex":0.000324877,"about_ca_system_score_gemma":0.000050293107,"threshold_uncertainty_score":0.44573423},"labels":[],"label_agreement":null},{"id":"W2287685616","doi":"10.14288/1.0089005","title":"Canadian energy use and greenhouse gas emissions in the 1980’s and 1990’s : decomposition of changes, extrapolation of trends and comparison to other oecd countries","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Extrapolation; Greenhouse gas; Environmental science; Decomposition; Atmospheric sciences; Natural resource economics; Economics; Mathematics; Statistics; Chemistry; Physics","score_opus":0.007910452415389525,"score_gpt":0.19736786970831396,"score_spread":0.18945741729292445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2287685616","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99900824,0.00007329067,0.000032795702,0.0004475979,0.0000040373457,0.000085369946,0.00007592014,0.0000029667267,0.0002697907],"genre_scores_gemma":[0.9995984,0.00009735128,0.00012798942,0.000094224415,0.0000018094642,1.697198e-7,0.000007037248,0.0000025301827,0.000070498296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995129,0.00004767366,0.0000749151,0.00014028806,0.00010824379,0.00011596509],"domain_scores_gemma":[0.99971384,0.000023905846,0.000051112795,0.00009778513,0.000004953984,0.00010839763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011537402,0.000031471835,0.00012495572,0.000045514047,0.000101956386,0.000023809194,0.00006889142,0.00004595299,0.0000751798],"category_scores_gemma":[0.000004338664,0.00006834476,0.000013421825,0.00010695418,0.00024229518,0.00020741079,0.00003515893,0.00003594629,1.822619e-7],"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":[0.0000151294835,0.00007492496,0.766776,0.000008981422,0.000003247716,0.0000062592976,0.0022746348,0.000018297556,0.0010040007,0.000005747011,0.00031673064,0.22949605],"study_design_scores_gemma":[0.00027216598,0.00016770388,0.99702585,0.00002072142,0.000012020972,0.000009101374,0.0014486575,0.0002368139,0.000009176208,0.00010897042,0.0006241169,0.000064703956],"about_ca_topic_score_codex":0.8542806,"about_ca_topic_score_gemma":0.97838765,"teacher_disagreement_score":0.23024985,"about_ca_system_score_codex":0.00009517448,"about_ca_system_score_gemma":0.000008146369,"threshold_uncertainty_score":0.27870184},"labels":[],"label_agreement":null},{"id":"W2288678943","doi":"","title":"Intégration des paramètres spatio-temporels et des risques d'accident à l'Analyse du Cycle de Vie : Application à la filière hydrogène énergie et à la filière essence","year":2008,"lang":"fr","type":"dissertation","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Philosophy; Political science","score_opus":0.00730283346909924,"score_gpt":0.24791189686985562,"score_spread":0.24060906340075638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2288678943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9049873,0.0009574414,0.052310657,0.0020407732,0.000059235317,0.0008728161,0.00009047189,0.00018330323,0.03849803],"genre_scores_gemma":[0.9588038,0.00835426,0.023376923,0.00012268577,0.00002215816,0.00044609045,0.0028121057,0.000098654455,0.0059633707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98518324,0.010804234,0.0010592092,0.0012638526,0.00089314795,0.0007963195],"domain_scores_gemma":[0.9939416,0.0025290363,0.00090127304,0.0016386975,0.0004878134,0.0005015947],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.006735014,0.0007748266,0.00062032806,0.00021530659,0.0014088658,0.00055881357,0.001234032,0.00062673574,0.0009854634],"category_scores_gemma":[0.0020922758,0.00084367034,0.00039836424,0.00086393894,0.001923168,0.0013449413,0.0005289532,0.00083040126,0.00017574709],"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":[0.00011377638,0.0034597488,0.67804766,0.00048570635,0.00017527603,0.00004335799,0.0650321,0.015779667,0.025595801,0.012078133,0.00074615626,0.19844261],"study_design_scores_gemma":[0.00066580845,0.000006541189,0.83937854,0.0010193458,0.00018171438,0.00006502797,0.0053873104,0.054296836,0.08429925,0.007823538,0.005910184,0.00096590025],"about_ca_topic_score_codex":0.030270666,"about_ca_topic_score_gemma":0.070631884,"teacher_disagreement_score":0.19747671,"about_ca_system_score_codex":0.0013630704,"about_ca_system_score_gemma":0.00036313004,"threshold_uncertainty_score":0.99992776},"labels":[],"label_agreement":null},{"id":"W2290802094","doi":"10.14288/1.0077962","title":"Building Life Cycle Assessment: Marine Drive Residence at The University of British Columbia","year":2010,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Residence; Demolition; Software; Environmental impact assessment; Architectural engineering; Life-cycle assessment; Environmental science; Civil engineering; Computer science; Engineering; Sociology; Political science","score_opus":0.00371906897257442,"score_gpt":0.17824566530162028,"score_spread":0.17452659632904585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2290802094","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923049,0.000018092787,0.00015760418,0.00013293531,0.00009507407,0.0003733866,0.00020636685,0.000040532446,0.006671114],"genre_scores_gemma":[0.9903265,0.00010497056,0.0019426184,0.000048932423,0.000014151979,2.395993e-7,0.000012949678,0.000014686977,0.0075349244],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99825615,0.00012747721,0.00016812098,0.0005409489,0.000508232,0.0003990547],"domain_scores_gemma":[0.9987812,0.00009911143,0.00023317088,0.00057643896,0.000038239767,0.00027186045],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048050744,0.00006512235,0.0002961975,0.000012633066,0.00080233545,0.000110255874,0.00081082387,0.00015654488,0.012076612],"category_scores_gemma":[0.00007022296,0.00023262246,0.00017847877,0.00032011484,0.0022980322,0.00062961894,0.001660084,0.00036159754,0.00004909805],"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":[0.000013337562,0.00021540027,0.8363498,0.00003928696,0.000028516304,0.00017975975,0.00019848444,0.00013122996,0.0030718464,0.0000010173151,0.010171543,0.14959982],"study_design_scores_gemma":[0.00075031375,0.00007974748,0.9940067,0.000039020557,0.000052675492,0.000062561834,0.0023741673,0.000425454,0.0000028803995,0.0006280302,0.0013436802,0.00023477693],"about_ca_topic_score_codex":0.8236015,"about_ca_topic_score_gemma":0.97132015,"teacher_disagreement_score":0.15765694,"about_ca_system_score_codex":0.0004069976,"about_ca_system_score_gemma":0.00006357627,"threshold_uncertainty_score":0.9888265},"labels":[],"label_agreement":null},{"id":"W2292058067","doi":"10.14288/1.0108525","title":"LCA : batteries and fuel cells for commercial buildings in British Columbia","year":2014,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Fuel cells; Architectural engineering; Business; Environmental science; Forensic engineering; Engineering","score_opus":0.004225315314798107,"score_gpt":0.16311980911938803,"score_spread":0.15889449380458992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2292058067","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99805915,0.000025882951,0.0002725706,0.00008786331,0.000059263544,0.0004103275,0.00013070655,0.00002426922,0.00092994125],"genre_scores_gemma":[0.9973908,0.00006752195,0.0010823528,0.0001376246,0.000014219689,0.0000018423879,0.000011044136,0.000013559134,0.0012810046],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99885386,0.00006378314,0.00014074774,0.00041632695,0.00018112067,0.0003441755],"domain_scores_gemma":[0.99950343,0.000066381916,0.00008089688,0.00018801674,0.000011324816,0.00014992566],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033244054,0.000046459463,0.000266306,0.00001196708,0.00026996594,0.00023232833,0.0002475469,0.00010946964,0.00073251344],"category_scores_gemma":[0.0000388042,0.00021215997,0.00007598059,0.00013400374,0.00086747477,0.00046560387,0.00031572508,0.000107077074,0.000009680562],"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":[0.0000072800294,0.00012451904,0.6846159,0.000075106414,0.0000048130432,0.000018462819,0.0002566494,0.000008453139,0.0005122918,1.6288733e-7,0.005309421,0.30906692],"study_design_scores_gemma":[0.001132541,0.00015000146,0.99164367,0.000042747568,0.000015941847,0.000021423743,0.0012981866,0.00013679301,0.0000022619417,0.00079429895,0.0045383363,0.00022381179],"about_ca_topic_score_codex":0.66568124,"about_ca_topic_score_gemma":0.9627475,"teacher_disagreement_score":0.3088431,"about_ca_system_score_codex":0.0001953117,"about_ca_system_score_gemma":0.000010027893,"threshold_uncertainty_score":0.8651632},"labels":[],"label_agreement":null},{"id":"W2293985469","doi":"10.1115/detc2015-46612","title":"Feature-Based Approach for Integration of Life Cycle Assessment With Product Development","year":2015,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Feature (linguistics); Computer science; Product lifecycle; Life-cycle assessment; Product (mathematics); Sustainability; New product development; Feature model; Systems engineering; Manufacturing engineering; Industrial engineering; Engineering; Production (economics)","score_opus":0.022125405954743646,"score_gpt":0.26244170459199473,"score_spread":0.24031629863725107,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2293985469","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6136926,0.000010988384,0.36807245,0.00041126256,0.000018794388,0.0009754646,0.000002290729,0.00002758343,0.016788555],"genre_scores_gemma":[0.7210454,1.3097011e-7,0.27803558,0.00009260767,0.0000068302706,0.00007971089,0.000029178365,0.0000069033013,0.00070368696],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991141,0.000030604424,0.00012873167,0.0002401923,0.00031234507,0.00017402177],"domain_scores_gemma":[0.9995502,0.000014092531,0.00006526206,0.0002061889,0.000013869562,0.00015036763],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043778704,0.000114510105,0.00012874044,0.00001702811,0.000049895694,0.000013415348,0.00010750107,0.000030445277,0.00008807072],"category_scores_gemma":[0.000046261077,0.00007499167,0.000025534602,0.000105383166,0.00012705325,0.00015795046,0.000045278877,0.000056066125,0.0000045476336],"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":[0.0007561393,0.0027280634,0.7965657,0.00015594617,0.00005390695,9.3830215e-7,0.0020527674,0.13100794,0.0072745094,0.00045993767,0.007991128,0.050953034],"study_design_scores_gemma":[0.003777786,0.0012199468,0.8167024,0.000013354074,0.000039838724,0.0000024314702,0.0042485576,0.07564105,0.086373374,0.00036994854,0.010935175,0.0006761224],"about_ca_topic_score_codex":0.00007612575,"about_ca_topic_score_gemma":0.0000476908,"teacher_disagreement_score":0.10735278,"about_ca_system_score_codex":0.00047453187,"about_ca_system_score_gemma":0.000111273366,"threshold_uncertainty_score":0.30580717},"labels":[],"label_agreement":null},{"id":"W2297831219","doi":"10.1007/s11367-015-1025-1","title":"Global guidance on environmental life cycle impact assessment indicators: progress and case study","year":2016,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":126,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Environmental impact assessment; Environmental planning; Environmental science; Environmental resource management; Political science; Economics","score_opus":0.00956524360866931,"score_gpt":0.33931183820944993,"score_spread":0.3297465946007806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297831219","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9947957,0.00007295201,0.00029127448,0.0032663841,0.00027763718,0.0004483146,0.00004858494,0.00001321191,0.0007859523],"genre_scores_gemma":[0.998715,0.00004884016,0.00044203934,0.00051997806,0.00019406558,0.000022469372,0.0000013997374,0.00001849723,0.000037707545],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996669,0.00032355092,0.0007212238,0.00032908874,0.0016103409,0.00034678783],"domain_scores_gemma":[0.99831545,0.00018858629,0.00064056704,0.00036534763,0.000016160051,0.00047389147],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013684937,0.000288594,0.00029557204,0.000072976465,0.00020322525,0.00014295074,0.00077488524,0.000057413992,0.00117555],"category_scores_gemma":[0.00008459871,0.00015615928,0.00016787401,0.00011433804,0.00049967074,0.0005851504,0.00062095566,0.00022928159,0.000024675226],"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":[0.000163945,0.0017527053,0.9662708,0.0000018575188,0.00029782197,0.0008096722,0.00034626524,0.0010989044,0.00015221053,0.000046730762,0.00036439643,0.028694687],"study_design_scores_gemma":[0.0020287817,0.0012068313,0.99111766,0.000026566202,0.000050184826,0.00090051175,0.0032384344,0.00041047638,0.000025444413,0.0005250588,0.00026986658,0.00020018892],"about_ca_topic_score_codex":0.0002269156,"about_ca_topic_score_gemma":0.000038859827,"teacher_disagreement_score":0.0284945,"about_ca_system_score_codex":0.0029081851,"about_ca_system_score_gemma":0.0001357951,"threshold_uncertainty_score":0.9997375},"labels":[],"label_agreement":null},{"id":"W2300200903","doi":"10.1051/mattech/2016002","title":"Ready-to-use and advanced methodologies to prioritise the regionalisation effort in LCA","year":2016,"lang":"en","type":"article","venue":"Matériaux & Techniques","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"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; Polytechnique Montréal","funders":"","keywords":"Regionalisation; Representativeness heuristic; Context (archaeology); Life-cycle assessment; Dimension (graph theory); Computer science; Risk analysis (engineering); Process management; Production (economics); Management science; Engineering; Geography; Business; Mathematics; Economics","score_opus":0.04648229600485427,"score_gpt":0.3147493227392161,"score_spread":0.2682670267343618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2300200903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.980281,0.000011185324,0.012436516,0.0052030105,0.000023702953,0.0009290271,0.0000068854306,0.0001405806,0.0009680928],"genre_scores_gemma":[0.89596057,0.000077036406,0.102157325,0.0010075687,0.00001239981,0.00021544896,0.0000013250817,0.000013256303,0.00055505265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989734,0.00012405073,0.00018354693,0.00029122207,0.00017957218,0.00024815215],"domain_scores_gemma":[0.9992932,0.00022171692,0.000037230846,0.00035269005,0.000005238537,0.00008994139],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008099553,0.0001262275,0.00013514762,0.000042463387,0.00007261213,0.00003342901,0.0001843657,0.000060226103,0.000099403005],"category_scores_gemma":[0.0005243731,0.00007323086,0.00002269587,0.00014844388,0.00020142247,0.00033010513,0.0003264209,0.000062916355,0.000036084653],"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":[0.00018624522,0.000044060358,0.46667758,0.0000138249,0.0000041953026,0.000012788457,0.0013303828,0.000020421525,0.13889143,0.0014991148,0.0047742412,0.38654572],"study_design_scores_gemma":[0.00011227305,0.00016022286,0.9201343,0.000036504403,0.0000032846506,0.000008122059,0.00020086889,0.0000022750307,0.045194644,0.013634673,0.020355707,0.00015710926],"about_ca_topic_score_codex":0.0005996652,"about_ca_topic_score_gemma":0.00024866094,"teacher_disagreement_score":0.45345673,"about_ca_system_score_codex":0.0003800386,"about_ca_system_score_gemma":0.0000052000305,"threshold_uncertainty_score":0.29862678},"labels":[],"label_agreement":null},{"id":"W2302379840","doi":"10.14288/1.0077964","title":"Life Cycle Assessment report Thunderbird Old Arena","year":2012,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Geography","score_opus":0.007126277305235144,"score_gpt":0.1966259109762274,"score_spread":0.18949963367099223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2302379840","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96269584,0.0000346174,0.00041998,0.00014362359,0.00010988158,0.0002270374,0.000023821236,0.00005568621,0.03628949],"genre_scores_gemma":[0.9959585,0.000028294362,0.0009882718,0.00015208578,0.000027628366,7.0442024e-7,0.000014576971,0.000013263572,0.002816665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985972,0.00006848863,0.00015480923,0.0003276639,0.00040863565,0.00044320457],"domain_scores_gemma":[0.99888706,0.000026220425,0.00013964396,0.00042241145,0.000010213046,0.0005144609],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043544182,0.00005630934,0.00021199866,0.000013212527,0.00026743676,0.000046935562,0.0002736928,0.0000946585,0.0031946162],"category_scores_gemma":[0.00005776544,0.00018327903,0.00012603999,0.00017646585,0.00050054456,0.0008362502,0.00040529066,0.00014811725,0.00013311168],"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":[0.0000036529589,0.0004119429,0.921918,0.00002077526,0.000018737586,0.00012632315,0.0002324797,0.0000653913,0.00020132284,0.00000206094,0.003918035,0.073081285],"study_design_scores_gemma":[0.00038186726,0.000047485435,0.99542373,0.000013109162,0.000027572292,0.00010402898,0.0021972691,0.0001180709,0.0000010595054,0.00034315942,0.0011399422,0.00020268775],"about_ca_topic_score_codex":0.12639078,"about_ca_topic_score_gemma":0.048424367,"teacher_disagreement_score":0.07796642,"about_ca_system_score_codex":0.0004883524,"about_ca_system_score_gemma":0.00003490773,"threshold_uncertainty_score":0.9977166},"labels":[],"label_agreement":null},{"id":"W2313728737","doi":"10.12677/jlce.2013.21009","title":"Empirical Study and Characteristics of Survival Carbon Emission of Household in Southwest Agro-Pastoral Area of China","year":2013,"lang":"en","type":"article","venue":"Journal of Low Carbon Economy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Carbon fibers; Geography; Environmental science; Archaeology; Mathematics","score_opus":0.01377673759418211,"score_gpt":0.23178583621598195,"score_spread":0.21800909862179985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2313728737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99851143,0.000027660666,0.0000024480162,0.000054623437,0.00006569995,0.00024361086,0.000005080766,0.000001719875,0.001087702],"genre_scores_gemma":[0.99987286,0.000013427026,0.000038487153,0.000008598698,0.00002269269,0.0000021041717,5.7989837e-7,0.000010850919,0.000030386402],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984773,0.00011084587,0.00087375,0.00014450854,0.00021376756,0.00017984996],"domain_scores_gemma":[0.9988945,0.000056072462,0.00069323526,0.0001953836,0.0000144694,0.0001463288],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005667748,0.0001468791,0.0005778829,0.00008728835,0.0000127252115,0.0000086100645,0.00016750264,0.00007305563,0.000096776486],"category_scores_gemma":[0.000047575104,0.00012122751,0.00008423967,0.000096765936,0.00023842411,0.00019649079,0.00011155071,0.00020080114,2.4692952e-7],"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":[0.00006836882,0.00069396186,0.9901034,0.000042403626,0.000016680653,0.0000081041435,0.00193267,0.000076137316,0.006452684,2.4837814e-7,0.0000055746546,0.00059974525],"study_design_scores_gemma":[0.0008065385,0.00065823353,0.99424505,0.000031863037,0.000022633676,0.000008012627,0.00169192,0.00039526177,0.0019312525,0.00010054882,0.0000082898605,0.00010041241],"about_ca_topic_score_codex":0.0013806451,"about_ca_topic_score_gemma":0.000049017686,"teacher_disagreement_score":0.0045214314,"about_ca_system_score_codex":0.0001938381,"about_ca_system_score_gemma":0.00002695415,"threshold_uncertainty_score":0.49435142},"labels":[],"label_agreement":null},{"id":"W2314781497","doi":"10.1021/es503797d","title":"Chemical Footprint Method for Improved Communication of Freshwater Ecotoxicity Impacts in the Context of Ecological Limits","year":2014,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":71,"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":"","keywords":"Ecotoxicity; Environmental science; Context (archaeology); Ecological footprint; Metropolitan area; Environmental protection; Footprint; Environmental engineering; Environmental resource management; Ecology; Sustainable development; Geography; Biology","score_opus":0.008576377747006633,"score_gpt":0.26477196761212923,"score_spread":0.2561955898651226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2314781497","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962643,0.000021088745,0.0010213738,0.001318579,0.000019120602,0.0008131784,0.000018062063,0.000016792665,0.00050753367],"genre_scores_gemma":[0.9862052,0.00001880969,0.013446123,0.000207296,0.000004383994,0.00008986911,0.000005680107,0.0000079225265,0.000014686759],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99819106,0.0001460465,0.00045324868,0.0004251942,0.00029410224,0.0004903556],"domain_scores_gemma":[0.99868226,0.00024521622,0.0002242203,0.0007681909,0.0000037428063,0.00007639309],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0023135724,0.00017458145,0.00030054324,0.0001197728,0.00014212294,0.000010473416,0.0013457207,0.00019029966,0.00019635908],"category_scores_gemma":[0.00036968736,0.00012229675,0.000089110625,0.00045385823,0.004466468,0.00016379013,0.0006702849,0.00024751702,0.000008876965],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000369,0.0005623301,0.06889573,0.0000064963897,0.0000028866643,2.1867083e-7,0.0006443853,0.00006138022,0.9057292,0.00067668664,0.000013986562,0.023369856],"study_design_scores_gemma":[0.00061547424,0.0005092726,0.17890194,0.000005886974,0.000010609331,0.000008821578,0.0020723864,0.0026491054,0.80765384,0.0061577535,0.0012514835,0.00016342467],"about_ca_topic_score_codex":0.00015513018,"about_ca_topic_score_gemma":0.00029182553,"teacher_disagreement_score":0.11000622,"about_ca_system_score_codex":0.0005447422,"about_ca_system_score_gemma":0.000011720521,"threshold_uncertainty_score":0.9982428},"labels":[],"label_agreement":null},{"id":"W2319178598","doi":"","title":"LIFE CYCLE IMPACTS OF NORTH AMERICAN WOOD PANEL MANUFACTURING","year":2016,"lang":"en","type":"article","venue":"Wood and Fiber Science (Society of Wood Science and Technology)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"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. Forest Service; FPInnovations; U.S. Department of Agriculture","keywords":"Life-cycle assessment; Environmental science; Environmental impact assessment; Waste management; Primary energy; Life cycle inventory; Greenhouse gas; Energy consumption; Global-warming potential; Cellulosic ethanol; Resource (disambiguation); Softwood; Production (economics); Environmental engineering; Engineering; Pulp and paper industry; Renewable energy","score_opus":0.006605366133825735,"score_gpt":0.2145365255893756,"score_spread":0.20793115945554988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2319178598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966781,0.000045242592,0.000030653722,0.002407263,0.000027990749,0.00020634221,0.000011463416,0.000048391546,0.0005445387],"genre_scores_gemma":[0.99702066,0.00023849377,0.002443834,0.00020250556,0.000007538939,0.000006018476,1.8878711e-7,0.0000073781357,0.000073384],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972281,0.000012804033,0.00032342307,0.0007566223,0.0008838201,0.000795223],"domain_scores_gemma":[0.9986371,0.00004442407,0.00025307253,0.00054108835,0.000045538352,0.00047878083],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001111157,0.00021710886,0.00032189238,0.00017572964,0.00055899424,0.000045532623,0.00088925206,0.00007037799,0.00006384436],"category_scores_gemma":[0.0003234543,0.00014722823,0.00006299413,0.0023289847,0.02584626,0.001212307,0.001153107,0.00015349852,0.000013571416],"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":[0.000013202355,0.00019934724,0.5172357,0.000038173002,0.000013244716,0.0000015951194,0.0011832949,0.000007665968,0.24571446,0.0000898149,0.00019276624,0.23531076],"study_design_scores_gemma":[0.00038894394,0.00045889258,0.7633946,0.000027430027,0.000013488643,0.000013911834,0.0016640179,0.00010875403,0.23244552,0.0006916214,0.0005200249,0.00027281954],"about_ca_topic_score_codex":0.00020488065,"about_ca_topic_score_gemma":0.000048107042,"teacher_disagreement_score":0.24615891,"about_ca_system_score_codex":0.00019495371,"about_ca_system_score_gemma":0.00018127549,"threshold_uncertainty_score":0.97680485},"labels":[],"label_agreement":null},{"id":"W2320415684","doi":"10.5383/ijtee.01.01.005","title":"Energy Use, Energy Savings and Environmental Analysis of Industrial","year":2010,"lang":"en","type":"article","venue":"International Journal of Thermal and Environmental Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Energy (signal processing); Environmental science; Energy analysis; Statistics; Mathematics","score_opus":0.005138340918260422,"score_gpt":0.18189316247709797,"score_spread":0.17675482155883754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2320415684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989542,0.00007948908,0.00049297547,0.000053242096,0.00023905626,0.00002731688,0.00005444308,0.0000049443292,0.00009435176],"genre_scores_gemma":[0.9991061,0.00020758245,0.00038922852,0.00007428705,0.0000946712,0.0000016475684,0.000023968103,0.000016171396,0.00008630651],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871856,0.000023421455,0.00042392706,0.00018601495,0.00046187366,0.00018623049],"domain_scores_gemma":[0.99938583,0.00007392355,0.0002313755,0.00012272462,0.000002202544,0.00018395734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018071616,0.00019041507,0.00027178484,0.00017362497,0.000038622995,0.000038413884,0.00024139625,0.000111278,0.00089475856],"category_scores_gemma":[0.00002236329,0.00017133012,0.00015240832,0.000080285725,0.0002863499,0.0005478378,0.00031664065,0.00022916365,9.206879e-7],"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":[0.00007072016,0.00017068895,0.5251022,0.0000014935096,0.00051915477,0.000030313915,0.0002125204,0.008456947,0.4418707,0.00008809093,0.00001815624,0.023459017],"study_design_scores_gemma":[0.001102079,0.0002027573,0.94162035,0.000014912866,0.00040016152,0.00017541612,0.00033248693,0.024164183,0.023363251,0.00006353352,0.008179819,0.00038104644],"about_ca_topic_score_codex":0.00027845643,"about_ca_topic_score_gemma":0.000017322422,"teacher_disagreement_score":0.41850746,"about_ca_system_score_codex":0.00015031532,"about_ca_system_score_gemma":0.000003719091,"threshold_uncertainty_score":0.9796979},"labels":[],"label_agreement":null},{"id":"W2323931247","doi":"10.1021/es3013563","title":"Life Cycle Impact Assessment of Terrestrial Acidification: Modeling Spatially Explicit Soil Sensitivity at the Global Scale","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Resources Conservation Service; National Oceanic and Atmospheric Administration","keywords":"Environmental science; Scale (ratio); Sensitivity (control systems); Terrestrial ecosystem; Global change; Ocean acidification; Soil water; Soil science; Hydrology (agriculture); Geology; Ecosystem; Oceanography; Climate change; Ecology; Geography; Engineering; Biology; Geotechnical engineering","score_opus":0.010385254681843594,"score_gpt":0.28030920340269205,"score_spread":0.26992394872084846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2323931247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899944,0.00006838818,0.00579137,0.0010073313,0.00015443383,0.00049481425,0.000027422053,0.000070377086,0.002391486],"genre_scores_gemma":[0.9985499,0.000031014508,0.0011540907,0.00011974826,0.000045938777,0.000039786883,0.000008592306,0.000013121973,0.0000378284],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968718,0.00013188281,0.0004361099,0.0006147973,0.0009582202,0.0009871569],"domain_scores_gemma":[0.99818003,0.000041316554,0.00022723257,0.0010832319,0.000002665668,0.00046553195],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015249985,0.00030207113,0.00028952243,0.000085838496,0.0007240343,0.000033815057,0.0008448922,0.00018132287,0.0009467216],"category_scores_gemma":[0.0001268856,0.0002240265,0.00014622566,0.0008683157,0.0033280624,0.0009552503,0.002048089,0.00025618917,0.00015910012],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019196952,0.0004230331,0.8297029,0.000001833498,0.00000945013,0.0000016704498,0.0002103474,0.0362243,0.12799639,0.00011224128,0.000021935793,0.0052767005],"study_design_scores_gemma":[0.00051710044,0.00023853361,0.8937019,0.0000049626055,0.00003148774,0.00006646563,0.0010248906,0.06777324,0.035139065,0.0008640974,0.00023144676,0.00040680825],"about_ca_topic_score_codex":0.00046755272,"about_ca_topic_score_gemma":0.00010781783,"teacher_disagreement_score":0.09285731,"about_ca_system_score_codex":0.0043789516,"about_ca_system_score_gemma":0.000080983045,"threshold_uncertainty_score":0.99996656},"labels":[],"label_agreement":null},{"id":"W2324889545","doi":"10.1021/acs.est.5b00163","title":"Making Sense of the Minefield of Footprint Indicators","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":39,"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":"Commonwealth; Library science; Sustainability; Agency (philosophy); Management; Political science; Sociology; Engineering; Law; Social science; Ecology","score_opus":0.013080106952236405,"score_gpt":0.2515195407797846,"score_spread":0.2384394338275482,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324889545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911686,0.000041022,0.00006405675,0.00042348835,0.000100427766,0.00027408276,0.0000049949113,0.000023654662,0.007899673],"genre_scores_gemma":[0.9989486,0.0000055854316,0.00079148903,0.000063057494,0.000005186504,0.000008992639,3.277682e-7,0.000008714304,0.00016804755],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980794,0.000039884548,0.0003367531,0.00038269395,0.00074611814,0.00041515162],"domain_scores_gemma":[0.99885356,0.000019320718,0.0002458893,0.0007618964,0.0000023637035,0.00011694269],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00065176364,0.00015522735,0.00019618479,0.00019274444,0.00014220248,0.0000061630485,0.0008840614,0.00012615253,0.00032196008],"category_scores_gemma":[0.00016691604,0.000113061156,0.00007576591,0.0013576346,0.007989131,0.00015162629,0.0018575123,0.00020338279,0.00003513751],"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":[0.000011401394,0.00018415212,0.8162736,0.0000033481297,0.0000034146312,0.0000028673292,0.000542095,0.0003887947,0.17296189,0.00041796608,0.000027426471,0.009183023],"study_design_scores_gemma":[0.0002775471,0.00022064646,0.5388958,0.000009996727,0.000012507822,0.000033760596,0.003261778,0.0000813232,0.4520267,0.002644785,0.0023655111,0.00016969939],"about_ca_topic_score_codex":0.000075324126,"about_ca_topic_score_gemma":0.000013801363,"teacher_disagreement_score":0.2790648,"about_ca_system_score_codex":0.0006597254,"about_ca_system_score_gemma":0.000033589255,"threshold_uncertainty_score":0.99471056},"labels":[],"label_agreement":null},{"id":"W2325348199","doi":"","title":"A comparative study on energy review among the developed and emerging nations","year":2014,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Per capita; China; Energy consumption; Greenhouse gas; Coal; Global warming; Developing country; Natural resource economics; Consumption (sociology); Production (economics); Geography; Agricultural economics; Environmental science; Environmental protection; Economic growth; Climate change; Economics; Engineering; Population; Environmental health","score_opus":0.021261507056646825,"score_gpt":0.2966147166215263,"score_spread":0.27535320956487946,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325348199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9089591,0.00007515602,0.00035494764,0.0009334389,0.00001357768,0.00034012191,2.984216e-7,0.00001552636,0.08930787],"genre_scores_gemma":[0.99649125,0.000094397605,0.000060026163,0.0013334419,0.0000051763222,0.0000406002,8.743488e-7,0.0000033225897,0.0019708844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99925643,0.00016911917,0.00011932304,0.00016700472,0.00016828375,0.00011985567],"domain_scores_gemma":[0.999626,0.0001037016,0.000032117117,0.00018372363,0.0000023205491,0.00005215211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037594335,0.00008554868,0.00011120526,0.000010722348,0.0002536827,0.000015816135,0.00010326608,0.000011173287,0.00068530114],"category_scores_gemma":[0.000057190977,0.00004906815,0.000017482147,0.00014886263,0.00017331711,0.000104441206,0.00013375253,0.000053000673,0.00004380911],"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":[0.000007947894,0.00051186,0.9709491,0.000023604194,0.00002704276,0.0000014082941,0.0054224837,0.00018329386,0.000075716656,0.0024639927,0.005727616,0.014605907],"study_design_scores_gemma":[0.00011568612,0.000104148035,0.9802825,0.000016038919,0.0000120845425,6.238137e-7,0.0023430572,0.00036136492,0.00008118516,0.00023562163,0.016357703,0.000090010006],"about_ca_topic_score_codex":0.00036705087,"about_ca_topic_score_gemma":0.0011726114,"teacher_disagreement_score":0.08753221,"about_ca_system_score_codex":0.000075495474,"about_ca_system_score_gemma":0.0000021697263,"threshold_uncertainty_score":0.75035673},"labels":[],"label_agreement":null},{"id":"W2325497272","doi":"10.14288/1.0101779","title":"Input-output analysis and the study of economic and environmental interactions","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Economics; Natural resource economics; Computer science; Environmental economics; Environmental science","score_opus":0.007510181547410079,"score_gpt":0.17181443584296338,"score_spread":0.16430425429555331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2325497272","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828243,0.000020752701,0.000043850996,0.000011856052,0.000014532474,0.0002542509,0.0000369459,0.0000055772125,0.0013297905],"genre_scores_gemma":[0.9994818,0.00005715888,0.00007446851,0.0000092407145,0.0000020154862,5.7139437e-7,0.0000028754998,0.0000035868038,0.00036830956],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993834,0.00007991372,0.00010791914,0.00022939882,0.0000947825,0.000104610066],"domain_scores_gemma":[0.9995916,0.000033598582,0.000098841774,0.0002068445,0.0000014793579,0.000067621826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017705864,0.00003508286,0.00019802057,0.000023369752,0.00016179655,0.000016991364,0.00014092012,0.000026308613,0.0008659651],"category_scores_gemma":[0.000004793615,0.0000808033,0.00006656252,0.00008933794,0.0011390162,0.00026631536,0.00034126814,0.000066137145,0.000006009326],"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":[0.00002749454,0.00028548582,0.9339707,0.000003920152,0.00012948188,0.0000071418444,0.0040176637,0.00001649009,0.000039737864,3.669369e-7,0.00003359475,0.061467927],"study_design_scores_gemma":[0.0009867694,0.000105886706,0.97080106,0.000002162056,0.00025717646,0.000008470666,0.027255313,0.00036191277,0.0000013305975,0.00012767993,0.000018723083,0.00007349835],"about_ca_topic_score_codex":0.2757645,"about_ca_topic_score_gemma":0.35455996,"teacher_disagreement_score":0.078795485,"about_ca_system_score_codex":0.00009976652,"about_ca_system_score_gemma":0.0000029710322,"threshold_uncertainty_score":0.9481711},"labels":[],"label_agreement":null},{"id":"W2327950554","doi":"10.3390/wsf3-a001","title":"A Methodology to Assess the Sustainability of Energy Systems through Life-Cycle Analysis and Sustainability Indicators","year":2013,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Tech University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Weighting; Life-cycle assessment; Environmental economics; Environmental Sustainability Index; Sustainable development; Energy (signal processing); Computer science; Risk analysis (engineering); Business; Economics; Production (economics); Mathematics","score_opus":0.021589563011252734,"score_gpt":0.2995182362347771,"score_spread":0.2779286732235243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2327950554","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92170775,0.000059427235,0.072346054,0.0021895438,0.000035827816,0.0010323925,0.0000051161614,0.000035801346,0.002588062],"genre_scores_gemma":[0.9971731,0.000011837325,0.0012812797,0.00048527648,0.0000131594625,0.00023887077,0.000003369127,0.000013520686,0.00077961263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963822,0.001313499,0.00059950893,0.0006568777,0.00043076347,0.000617162],"domain_scores_gemma":[0.9975029,0.00083759957,0.00018510147,0.0010409537,0.00006784125,0.00036559426],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019871783,0.00026909265,0.00059139804,0.000120200704,0.00022997784,0.00007032052,0.00048458728,0.00015348726,0.0019227004],"category_scores_gemma":[0.0017766643,0.00017451271,0.000186912,0.0017421979,0.0012650801,0.00047308646,0.0008959373,0.00015913328,0.000011846773],"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":[0.000028051216,0.00020730023,0.9816615,0.000069882706,0.00015676522,0.0000013557053,0.001607044,0.009919396,0.00007354135,0.0027474996,0.0002724503,0.0032552246],"study_design_scores_gemma":[0.00014941602,0.00014667353,0.9549111,0.0000010013312,0.00017668198,0.000002059524,0.019784173,0.0021842346,0.00037308777,0.020835515,0.001205829,0.00023021713],"about_ca_topic_score_codex":0.06485465,"about_ca_topic_score_gemma":0.00071771967,"teacher_disagreement_score":0.0754653,"about_ca_system_score_codex":0.0009944838,"about_ca_system_score_gemma":0.000076013595,"threshold_uncertainty_score":0.9989897},"labels":[],"label_agreement":null},{"id":"W2328321270","doi":"10.1021/es302393w","title":"Response to Comment by Karras on “Analysis of Refinery Energy Use and CO<sub>2</sub> Emissions in the U.S. Refining Sector, With Projections to 2025”","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Phone; Citation; Computer science; Library science; Oil refinery; World Wide Web; Information retrieval; Data science; Chemistry","score_opus":0.011296045725158464,"score_gpt":0.24736726938139972,"score_spread":0.23607122365624125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328321270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943115,0.00002232699,0.00018789666,0.004700283,0.000020848287,0.00029371568,0.000038293187,0.000026857953,0.00039825353],"genre_scores_gemma":[0.9970006,0.000021720389,0.0005318946,0.0021282216,0.0000037539912,0.00013187615,0.000007806948,0.000012940062,0.00016123717],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99758583,0.00017781196,0.00029882992,0.000583336,0.00065125135,0.0007029167],"domain_scores_gemma":[0.99874115,0.0001749684,0.00009608707,0.00069985096,0.0000021269238,0.000285837],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013204832,0.000237493,0.00026721394,0.00070877693,0.00040601767,0.00003376977,0.00052014564,0.00010919973,0.000152871],"category_scores_gemma":[0.0001707136,0.00016867007,0.00004639166,0.0028179353,0.0017434701,0.0004122288,0.00050824304,0.0002312781,0.000035471974],"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":[0.00014212313,0.00043507328,0.45732746,6.437644e-7,0.0000142361305,0.0000027432145,0.0013519156,0.0006634311,0.53678226,0.000059672395,0.0008190135,0.0024014234],"study_design_scores_gemma":[0.00024847206,0.00091137993,0.7783919,0.000011342732,0.000062207415,0.000013216899,0.0031760284,0.00005578884,0.17973807,0.000029203871,0.03706784,0.00029456048],"about_ca_topic_score_codex":0.00044788246,"about_ca_topic_score_gemma":0.0002461536,"teacher_disagreement_score":0.3570442,"about_ca_system_score_codex":0.0011352545,"about_ca_system_score_gemma":0.000016027496,"threshold_uncertainty_score":0.6878166},"labels":[],"label_agreement":null},{"id":"W2328521813","doi":"10.1007/s10098-016-1168-1","title":"Sustainability assessment framework for low rise commercial buildings: life cycle impact index-based approach","year":2016,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Resources Canada; Industry Canada","keywords":"Life-cycle assessment; Sustainability; Triple bottom line; Greenhouse gas; Engineering; Environmental impact assessment; Roof; Environmental economics; Built environment; Resource (disambiguation); Circular economy; Environmental Sustainability Index; Index (typography); Civil engineering; Environmental resource management; Environmental science; Production (economics); Computer science; Economics","score_opus":0.007678951003784213,"score_gpt":0.28575217856043894,"score_spread":0.2780732275566547,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328521813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9281317,0.000053645075,0.066369966,0.0034054401,0.000031680676,0.0012080267,0.0001811026,0.00031985826,0.0002985684],"genre_scores_gemma":[0.9919658,0.00011921436,0.007111162,0.0003608364,0.00006153327,0.00023228237,0.000018842864,0.00005726713,0.00007307626],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9972041,0.00008066976,0.00043185859,0.00086987927,0.00036682864,0.00104663],"domain_scores_gemma":[0.998333,0.00022575157,0.00019474316,0.000915443,0.000003874643,0.0003272375],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00043590175,0.0005074678,0.00044595276,0.00012803727,0.0004815225,0.000071061186,0.0005854788,0.0004485043,0.0003154127],"category_scores_gemma":[0.0006018769,0.00035772112,0.00026069433,0.00024328029,0.0027709112,0.00041566562,0.0009606886,0.00033528666,0.000015327905],"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":[0.00015776332,0.0006846681,0.44992405,0.0000536987,0.000027566653,0.0000023806715,0.000082104845,0.0008654099,0.0007315134,0.0013209017,0.00042506593,0.54572487],"study_design_scores_gemma":[0.0019986,0.00085078785,0.8966275,0.000028057277,0.000038099362,0.000007258402,0.022322923,0.0029487382,0.0017792459,0.07130368,0.0012402799,0.00085487246],"about_ca_topic_score_codex":0.0004949659,"about_ca_topic_score_gemma":0.000024931955,"teacher_disagreement_score":0.54487,"about_ca_system_score_codex":0.0034536107,"about_ca_system_score_gemma":0.00006196916,"threshold_uncertainty_score":0.99994296},"labels":[],"label_agreement":null},{"id":"W2328554119","doi":"10.1007/bf02979731","title":"The Relative Mass-Energy-Economic (RMEE) Method for System Boundary Selection","year":2000,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo; University of Alberta","funders":"","keywords":"Boundary (topology); Selection (genetic algorithm); Unit (ring theory); Energy (signal processing); Upstream (networking); Product (mathematics); Mathematical optimization; Computer science; Reliability engineering; Mathematics; Statistics; Econometrics; Engineering; Mathematical analysis; Artificial intelligence","score_opus":0.007099585172431775,"score_gpt":0.2996559890316715,"score_spread":0.29255640385923976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2328554119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7720233,0.00015983105,0.18237711,0.013157364,0.0013446487,0.00045637743,0.00002453686,0.000027255519,0.030429533],"genre_scores_gemma":[0.9892764,0.00007761455,0.008302815,0.00037720744,0.00031117935,0.000020962656,0.0000021776884,0.000012933341,0.0016186989],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985326,0.00021003037,0.00046763822,0.00012799898,0.0004775485,0.0001842178],"domain_scores_gemma":[0.9989822,0.00043004443,0.0003369373,0.00013300095,0.000026971082,0.000090851776],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016533427,0.00011308314,0.00013654226,0.000021354215,0.00036957467,0.00014721107,0.00059685454,0.000037494883,0.0007762184],"category_scores_gemma":[0.00003516889,0.000066153225,0.0001730111,0.000041003757,0.0001388012,0.00041816971,0.0000673174,0.00017455919,0.000028447674],"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":[0.0028391387,0.00061641395,0.076424964,0.000023463232,0.0022379952,0.000031408334,0.0016802262,0.49517444,0.005179176,0.049066775,0.022825977,0.34390002],"study_design_scores_gemma":[0.003386897,0.0010054571,0.28852275,0.00006935877,0.00022574751,0.00042283323,0.0051938756,0.32092083,0.0017450942,0.06920349,0.30873874,0.0005649266],"about_ca_topic_score_codex":0.00021202753,"about_ca_topic_score_gemma":0.000055577486,"teacher_disagreement_score":0.3433351,"about_ca_system_score_codex":0.0025163144,"about_ca_system_score_gemma":0.00010422109,"threshold_uncertainty_score":0.8499048},"labels":[],"label_agreement":null},{"id":"W2329883071","doi":"10.1007/s00477-016-1244-4","title":"Adaptation strategies for mitigating agricultural GHG emissions under dual-level uncertainties with the consideration of global warming impacts","year":2016,"lang":"en","type":"article","venue":"Stochastic Environmental Research and Risk Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Greenhouse gas; Agriculture; Agricultural productivity; Environmental science; Life-cycle assessment; Irrigation; Agricultural engineering; Business; Climate change; Natural resource economics; Food security; Farm water; Global warming; Production (economics); Agricultural economics; Environmental resource management; Economics; Water conservation; Engineering; Geography; Agronomy","score_opus":0.03952808739707051,"score_gpt":0.3415527093651577,"score_spread":0.30202462196808716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2329883071","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9261334,0.00008461143,0.0715665,0.0008602734,0.000018790732,0.00091566937,0.00018648761,0.000010476835,0.00022382203],"genre_scores_gemma":[0.99701464,0.00012165055,0.002471543,0.000016124288,0.000026599675,0.00012681575,0.000018018902,0.000011698538,0.00019291631],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99787885,0.00019997101,0.00025842432,0.0003684103,0.00077484455,0.0005195251],"domain_scores_gemma":[0.9987298,0.00068952615,0.00015307382,0.00020871009,0.000015523892,0.0002033491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007690835,0.00020380196,0.0001723171,0.00001946617,0.0008322972,0.000082686885,0.00011868654,0.00006496201,0.00015190584],"category_scores_gemma":[0.000093350835,0.00009676248,0.000050091105,0.000112761685,0.0017025728,0.00049124827,0.00021742992,0.00017372095,0.0000048727693],"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":[0.00084005075,0.001230776,0.6692618,0.00012616499,0.00036460772,0.000010088853,0.0064133913,0.03975736,0.22004311,0.009467349,0.0009402503,0.05154505],"study_design_scores_gemma":[0.001071388,0.0011479807,0.91500634,0.00007081155,0.000044343982,0.000014990483,0.067402475,0.0012405135,0.0010013703,0.012769822,0.00001909864,0.00021086982],"about_ca_topic_score_codex":0.00044412143,"about_ca_topic_score_gemma":0.00054054783,"teacher_disagreement_score":0.24574453,"about_ca_system_score_codex":0.0009900013,"about_ca_system_score_gemma":0.00008782673,"threshold_uncertainty_score":0.6401441},"labels":[],"label_agreement":null},{"id":"W2330063084","doi":"10.1021/es401344h","title":"Nitrogen Footprint in China: Food, Energy, and Nonfood Goods","year":2013,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":141,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Footprint; Per capita; Ecological footprint; Environmental science; Carbon footprint; Production (economics); Agricultural economics; Natural resource economics; Economics; Geography; Sustainability; Microeconomics; Biology; Ecology; Greenhouse gas; Environmental health; Population","score_opus":0.0029034388255606705,"score_gpt":0.1910314432522743,"score_spread":0.18812800442671362,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2330063084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99180907,0.00012957625,0.000106799205,0.00095505064,0.000048574966,0.00042232338,0.0000042130687,0.00008378337,0.006440608],"genre_scores_gemma":[0.99830806,0.00007995373,0.0010870325,0.00016039237,0.000009590035,0.0001388571,0.0000022104002,0.00001980793,0.00019409094],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731684,0.00003920165,0.00033218242,0.00087199954,0.00048277402,0.0009570141],"domain_scores_gemma":[0.99902654,0.000016225003,0.00008807094,0.0005892783,0.0000010244052,0.0002788932],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036935197,0.00029886246,0.00024630924,0.00031323766,0.00032347857,0.000060457613,0.0007477795,0.00019245356,0.0017701588],"category_scores_gemma":[0.000040063504,0.0002756503,0.000047072506,0.0009772826,0.005304673,0.00062731974,0.0018300994,0.00025678385,0.00022504886],"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":[0.0000043681557,0.00023331598,0.8191652,0.0000020599946,0.000003528781,0.0000068451914,0.00020765176,0.000060205697,0.13067222,0.0006562387,0.00002082908,0.048967537],"study_design_scores_gemma":[0.0004681685,0.00051240524,0.89293444,0.0000049310515,0.0000056007198,0.000060797174,0.0012256196,0.00039185953,0.07036289,0.031304702,0.0023132032,0.00041537223],"about_ca_topic_score_codex":0.0007753113,"about_ca_topic_score_gemma":0.00019686604,"teacher_disagreement_score":0.07376925,"about_ca_system_score_codex":0.0012210921,"about_ca_system_score_gemma":0.0000142106,"threshold_uncertainty_score":0.99996954},"labels":[],"label_agreement":null},{"id":"W2331142310","doi":"10.3130/aije.79.623","title":"COMPARISON OF ENERGY CONSUMPTION AND CO2 EMISSION DURING BUILDING CONSTRUCTION STAGE BETWEEN CANADA AND JAPAN","year":2014,"lang":"en","type":"article","venue":"Journal of Environmental Engineering (Transactions of AIJ)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Consumption (sociology); Table (database); Stage (stratigraphy); Environmental economics; Total energy; Environmental science; Life-cycle assessment; Engineering; Architectural engineering; Agricultural economics; Production (economics); Computer science; Economics; Database; Electrical engineering; Geology","score_opus":0.004514933875036079,"score_gpt":0.20716814272498102,"score_spread":0.20265320884994495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331142310","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837859,0.00010100814,0.015930075,0.000018585904,0.000065854394,0.000055930705,0.000020479269,0.0000043179784,0.000017824455],"genre_scores_gemma":[0.99708974,0.00013578804,0.0027089084,0.0000030194785,0.000016666152,8.185883e-7,0.0000014906915,0.000012759973,0.00003083471],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988524,0.000033877222,0.0005132153,0.00013335618,0.00030804632,0.00015916178],"domain_scores_gemma":[0.99933064,0.000079133155,0.00030418846,0.00011330812,0.000002987815,0.00016976122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018115633,0.00014649887,0.0003148482,0.00006935864,0.000083191444,0.000007843943,0.000080335514,0.000067273955,0.00021537229],"category_scores_gemma":[0.000016224269,0.00014589736,0.00005263856,0.000051106093,0.00024539654,0.00027689783,0.000031243526,0.00017847578,1.6198653e-7],"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":[0.000027654607,0.00006219692,0.6602407,0.000082862534,0.000033324115,8.4752816e-7,0.00014627191,0.030900003,0.30269507,0.0000059073354,0.000002188578,0.00580299],"study_design_scores_gemma":[0.0005780855,0.00020897224,0.8252917,0.000052007697,0.000066131324,0.000049086313,0.00043177657,0.0029594668,0.16994376,0.000010470915,0.00026179393,0.00014673345],"about_ca_topic_score_codex":0.0056032394,"about_ca_topic_score_gemma":0.00057188334,"teacher_disagreement_score":0.16505101,"about_ca_system_score_codex":0.00034408623,"about_ca_system_score_gemma":0.000009374863,"threshold_uncertainty_score":0.84704596},"labels":[],"label_agreement":null},{"id":"W2331966991","doi":"10.3390/c2020011","title":"Calculating the Emissions Impacts of Waste Electronics Recycling in Ontario, Canada","year":2016,"lang":"en","type":"article","venue":"C – Journal of Carbon Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"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":"Tonne; Greenhouse gas; Stewardship (theology); Waste management; Environmental science; Carbon dioxide equivalent; Electronic waste; Electronic equipment; Environmental economics; Environmental engineering; Natural resource economics; Engineering","score_opus":0.025362251387786527,"score_gpt":0.30960497473026777,"score_spread":0.28424272334248124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2331966991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9948167,0.0001579614,0.0000050551353,0.0016729526,0.000038314225,0.000113941445,6.190081e-7,7.634125e-7,0.0031936571],"genre_scores_gemma":[0.9992999,0.00005744291,0.00003897535,0.000024681884,0.0000208361,0.0000012031315,8.9422024e-8,0.0000074400723,0.000549428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976445,0.00031748827,0.00042169675,0.00010905709,0.0010030454,0.0005042142],"domain_scores_gemma":[0.9989228,0.00046718074,0.00015462954,0.00022803096,0.000032809243,0.00019454201],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030934927,0.00007988439,0.00016819702,0.00005806015,0.00008369733,0.000011190479,0.00035187334,0.000046364567,0.0004455855],"category_scores_gemma":[0.0008499776,0.0000413101,0.000056693938,0.0002467518,0.0002479042,0.00011894962,0.00018874003,0.0006416168,7.232391e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008481487,0.00005016393,0.8709187,0.0000065704066,0.000010610563,0.000044993594,0.00092015957,0.00065306295,0.12253018,0.000012220445,0.00031077093,0.0044577816],"study_design_scores_gemma":[0.00086956035,0.00038932372,0.9335865,0.00020907557,0.0000096740805,0.00004729887,0.0029348426,0.0002887563,0.056605704,0.0013502475,0.0035603135,0.0001486977],"about_ca_topic_score_codex":0.8449023,"about_ca_topic_score_gemma":0.94358075,"teacher_disagreement_score":0.09867848,"about_ca_system_score_codex":0.0042301645,"about_ca_system_score_gemma":0.000894477,"threshold_uncertainty_score":0.9995924},"labels":[],"label_agreement":null},{"id":"W2333287182","doi":"10.1021/es303435e","title":"From LCAs to Simplified Models: A Generic Methodology Applied to Wind Power Electricity","year":2012,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":87,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Wind power; Greenhouse gas; Life-cycle assessment; Turbine; Identification (biology); Key (lock); Electricity; Computer science; Environmental science; Sample (material); Reliability engineering; Electricity generation; Sensitivity (control systems); Engineering; Power (physics); Production (economics); Mechanical engineering","score_opus":0.026909190814591588,"score_gpt":0.2717767425110669,"score_spread":0.24486755169647534,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2333287182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97426194,0.000056202716,0.015675899,0.0010588102,0.00020721275,0.0009851444,0.000026296404,0.00018019165,0.0075482824],"genre_scores_gemma":[0.97378206,0.000008710029,0.023124183,0.0026096755,0.00005920187,0.00011194588,0.000006897809,0.000040199513,0.0002571237],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99526685,0.0001043243,0.00045077348,0.0012978793,0.000856741,0.0020234464],"domain_scores_gemma":[0.9976206,0.000082966784,0.00011767718,0.0011643511,0.0000027181736,0.0010117032],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012708735,0.00046469088,0.00045744362,0.0004732723,0.0005493257,0.00004307907,0.0015068727,0.00030856216,0.0037011115],"category_scores_gemma":[0.00014796897,0.00044332797,0.00008787649,0.0024188685,0.0021587377,0.0007420295,0.0025748075,0.00040620822,0.00281919],"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":[0.000072736846,0.0005595119,0.08341677,0.0000011584058,0.000012919528,0.000005427968,0.0024822287,0.005562761,0.8875748,0.000769869,0.0005400376,0.019001763],"study_design_scores_gemma":[0.0007303866,0.0008322007,0.5301967,0.000004761208,0.000052348256,0.000058616566,0.0063585867,0.00046232095,0.40885216,0.018023366,0.032801725,0.001626807],"about_ca_topic_score_codex":0.00027990848,"about_ca_topic_score_gemma":0.000016882921,"teacher_disagreement_score":0.47872266,"about_ca_system_score_codex":0.0027950522,"about_ca_system_score_gemma":0.000024586538,"threshold_uncertainty_score":0.9998019},"labels":[],"label_agreement":null},{"id":"W2337766105","doi":"10.21307/ijssis-2017-561","title":"Industrial And Enterprise Greenhouse Gas Emission Data Analysis System","year":2013,"lang":"en","type":"article","venue":"International Journal on Smart Sensing and Intelligent Systems","topic":"Environmental Impact and Sustainability","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":"123 Certification (Canada)","funders":"Program for New Century Excellent Talents in University; Ministry of Education, India","keywords":"Greenhouse gas; Cogeneration; Boiler (water heating); Waste management; Electricity; Thermal power station; Engineering; Exhaust gas; Combustion; Electricity generation; Process engineering; Environmental science; Environmental engineering; Power (physics); Electrical engineering","score_opus":0.032981619545468216,"score_gpt":0.2704535767783428,"score_spread":0.2374719572328746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2337766105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99444693,0.00007708134,0.0029526774,0.0004673682,0.0009785974,0.00022247489,0.000016691096,0.000028293487,0.00080988253],"genre_scores_gemma":[0.99869037,0.00015676553,0.00012429748,0.00009804558,0.00027516266,0.0000012495925,0.000019429272,0.0000137565075,0.0006209257],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979971,0.00020132452,0.0005148877,0.00039254632,0.0006548838,0.00023924262],"domain_scores_gemma":[0.99894005,0.00010986443,0.00023562883,0.00035416902,0.000030667616,0.0003296367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000713663,0.00019528485,0.00026354488,0.0001669116,0.00020321841,0.00049341784,0.00032618904,0.00009877945,0.00020530955],"category_scores_gemma":[0.00011354608,0.00014961041,0.000073903335,0.00011165614,0.00013516171,0.00047572865,0.00042233913,0.00025761843,0.00009617832],"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":[0.00017135547,0.00023933557,0.8819877,0.00002198816,0.00083949097,0.00020813748,0.001077844,0.0024246066,0.0014872282,0.000045185807,0.009895495,0.10160164],"study_design_scores_gemma":[0.0022684995,0.000715946,0.13938959,0.00087809184,0.0006390955,0.003642459,0.015209412,0.7470958,0.0016899573,0.00027533638,0.0868521,0.0013437021],"about_ca_topic_score_codex":0.0048518404,"about_ca_topic_score_gemma":0.000060269795,"teacher_disagreement_score":0.7446712,"about_ca_system_score_codex":0.00048251764,"about_ca_system_score_gemma":0.000009576575,"threshold_uncertainty_score":0.7334564},"labels":[],"label_agreement":null},{"id":"W2340686545","doi":"10.14288/1.0086813","title":"Environmental impacts and economic costs : A study of pulp mill effluent in British Columbia","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","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":"University of British Columbia","funders":"","keywords":"Mill; Paper mill; Effluent; Pulp mill; Natural resource economics; Pulp and paper industry; Business; Environmental science; Engineering; Economics; Geography; Environmental engineering; Archaeology","score_opus":0.003336237922469468,"score_gpt":0.16622415783574973,"score_spread":0.16288791991328025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2340686545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984507,0.000107045824,0.0000019079998,0.000018288933,0.00002819091,0.0007213214,0.00013767027,0.000016024705,0.00051887776],"genre_scores_gemma":[0.9994044,0.00020573424,0.00006285628,0.000035578138,0.0000053299786,8.55455e-7,0.000008493192,0.000010854003,0.00026591876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984733,0.00010893348,0.00025600716,0.0005257891,0.00026526177,0.00037074572],"domain_scores_gemma":[0.9992872,0.000028677878,0.00015418146,0.00029890306,0.000003325437,0.0002277232],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00028797192,0.00006801169,0.00037573907,0.000023140092,0.00016796163,0.000114183924,0.00028389963,0.00010272165,0.0010627862],"category_scores_gemma":[0.0000145912045,0.00028013956,0.00007989945,0.00012062177,0.0005287397,0.000520592,0.00028597296,0.00014625222,0.000016800239],"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":[0.000012166142,0.0010719383,0.8069147,0.000013857218,0.000012055314,0.00014487265,0.0005468757,0.000044130244,0.0005825206,1.5210757e-8,0.00030752274,0.19034937],"study_design_scores_gemma":[0.0023197525,0.0007227925,0.98733693,0.000049660604,0.00002758244,0.0000651298,0.009023965,0.00009368582,0.0000020287077,0.00008108892,0.00003554156,0.00024182138],"about_ca_topic_score_codex":0.7700146,"about_ca_topic_score_gemma":0.95566523,"teacher_disagreement_score":0.19010755,"about_ca_system_score_codex":0.000996137,"about_ca_system_score_gemma":0.000017419881,"threshold_uncertainty_score":0.9999651},"labels":[],"label_agreement":null},{"id":"W2343079250","doi":"10.14288/1.0300308","title":"The sustainability of biofuels : a principled lifecycle assessment of the 2009 European Union Renewable Energy Directive and its framework","year":2016,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","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 Ottawa","funders":"","keywords":"Greenhouse gas; Biofuel; European union; Sustainability; Directive; Renewable energy; Natural resource economics; Sustainable development; Climate change mitigation; Business; Fossil fuel; Carbon neutrality; Environmental economics; Environmental resource management; Environmental science; Economics; Engineering; Waste management; International trade; Political science","score_opus":0.0035740396395778375,"score_gpt":0.23510904810867303,"score_spread":0.2315350084690952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2343079250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988202,0.0005253093,0.006645254,0.0017555694,0.000054218835,0.00022086626,0.0000036733948,0.0000073626275,0.0025857636],"genre_scores_gemma":[0.99621576,0.0015265557,0.000033104174,0.000020145957,0.000025623713,0.000004245367,1.3639446e-7,0.000012933248,0.0021615033],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970457,0.0010482698,0.00033651874,0.00020840953,0.000355408,0.0010056851],"domain_scores_gemma":[0.9989792,0.0002332174,0.0003059983,0.00035803302,0.00003501891,0.00008854302],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041813394,0.00014085567,0.00016173413,0.00001823119,0.00036089163,0.00001737342,0.00040413503,0.000052890522,0.000057382807],"category_scores_gemma":[0.0004854389,0.00006583955,0.000105182204,0.00019733989,0.0004667212,0.00019730224,0.00038136754,0.00042908225,9.705053e-7],"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":[0.000099900215,0.00039405745,0.86490864,0.000020131678,0.0001239524,0.0000013903073,0.00048511883,0.00072801096,0.016030679,0.024003848,0.000029775932,0.0931745],"study_design_scores_gemma":[0.00036627118,0.00033909548,0.64421886,0.000025704821,0.000024184441,0.0000213306,0.001282267,0.00007803586,0.004281979,0.34824777,0.0009995905,0.00011490926],"about_ca_topic_score_codex":0.00053850835,"about_ca_topic_score_gemma":0.0012149042,"teacher_disagreement_score":0.32424393,"about_ca_system_score_codex":0.0022311448,"about_ca_system_score_gemma":0.00035217174,"threshold_uncertainty_score":0.5834366},"labels":[],"label_agreement":null},{"id":"W2345203033","doi":"10.1016/j.ecolecon.2016.04.013","title":"Casting a long shadow: Demand-based accounting of Canada's greenhouse gas emissions responsibility","year":2016,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University; University of Ottawa","funders":"Economic and Social Research Council","keywords":"Greenhouse gas; Kyoto Protocol; Natural resource economics; Commit; Fossil fuel; Economics; Final demand; Production (economics); Shadow price; Agricultural economics; Carbon accounting; Environmental science; Engineering; Waste management; Ecology","score_opus":0.010086821107095011,"score_gpt":0.21271086566185515,"score_spread":0.20262404455476013,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345203033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952874,0.0000050753115,0.00021800662,0.00092841656,0.000057335816,0.00021962918,0.000025804678,0.000024127818,0.0032342],"genre_scores_gemma":[0.9986354,0.0000058208857,0.00063128053,0.0003189381,0.000017739441,0.000010465562,0.0000016284815,0.000010662559,0.0003680655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985042,0.00010642926,0.0004318169,0.00039452492,0.00010387586,0.00045910454],"domain_scores_gemma":[0.998622,0.0006103536,0.00018656536,0.00034736327,0.0000058721566,0.00022787263],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00081849535,0.00015886987,0.0002521962,0.000017388727,0.00018394977,0.00001256796,0.00026012395,0.000110764944,0.0047728233],"category_scores_gemma":[0.0010610106,0.00010949055,0.00008295679,0.0000692471,0.0003441394,0.00017080059,0.00029989268,0.000106807296,0.000026235693],"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":[0.00007922828,0.00016969941,0.9884579,0.000008655094,0.0000054558905,0.000013593893,0.00002849791,0.00413643,0.0013973523,0.00002574586,0.00024554867,0.0054318537],"study_design_scores_gemma":[0.00038777923,0.00011138724,0.9926864,0.000008406169,0.00000722246,0.000003717747,0.00006387613,0.0025192604,0.0022120196,0.0011536729,0.0006653952,0.00018090066],"about_ca_topic_score_codex":0.021655865,"about_ca_topic_score_gemma":0.28292197,"teacher_disagreement_score":0.2612661,"about_ca_system_score_codex":0.0017367458,"about_ca_system_score_gemma":0.0001832614,"threshold_uncertainty_score":0.99613696},"labels":[],"label_agreement":null},{"id":"W2345837865","doi":"10.1007/s10479-016-2201-9","title":"Robust DEA to assess the reliability of methyl methacrylate-hardened hybrid poplar wood","year":2016,"lang":"en","type":"article","venue":"Annals of Operations Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Service de Recherche et d'EXpertise en Transformation des Produits Forestiers; Université du Québec en Abitibi-Témiscamingue; University of Toronto","funders":"","keywords":"Data envelopment analysis; Theory of computation; Hardening (computing); Engineered wood; Computer science; Mathematical optimization; Mathematics; Pulp and paper industry; Algorithm; Materials science; Composite material; Engineering","score_opus":0.24463209559389026,"score_gpt":0.43112233088842944,"score_spread":0.18649023529453918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2345837865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839144,0.000034542947,0.0010025084,0.011752533,0.000023369355,0.0006714715,0.00005994737,0.000008555868,0.0025326884],"genre_scores_gemma":[0.9958418,0.000094128576,0.0017682833,0.00013083467,0.000015207063,0.00007140124,0.0000027958674,0.000012142487,0.0020634248],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99692285,0.00090638915,0.00039681248,0.00035519304,0.0009534194,0.00046534088],"domain_scores_gemma":[0.99811286,0.00056607946,0.000032147487,0.0009248518,0.00017025265,0.00019381469],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0057414835,0.00011944351,0.00020961002,0.000081461105,0.0003048594,0.000035891047,0.0006500748,0.00005255167,0.0028492084],"category_scores_gemma":[0.0024389152,0.00006631444,0.000102569364,0.0005047381,0.00086802186,0.00040917774,0.00061010075,0.00018478812,0.00019854882],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00039125793,0.0018687099,0.16590005,0.00008117123,0.00010598205,0.000012053458,0.0023749124,0.13177994,0.6478506,0.0010551496,0.019867051,0.02871315],"study_design_scores_gemma":[0.00029009703,0.0005381813,0.1976786,0.000024692301,0.0000093813605,0.0000027041335,0.00083853403,0.0006214051,0.79161036,0.0016415638,0.006550357,0.00019411364],"about_ca_topic_score_codex":0.0015703341,"about_ca_topic_score_gemma":0.0003090539,"teacher_disagreement_score":0.1437598,"about_ca_system_score_codex":0.00014482459,"about_ca_system_score_gemma":0.000061678016,"threshold_uncertainty_score":0.9980623},"labels":[],"label_agreement":null},{"id":"W2346080964","doi":"10.1177/1070496515623821","title":"A Framework for Reducing Global Manufacturing Emissions","year":2016,"lang":"en","type":"article","venue":"The Journal of Environment & Development","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"","keywords":"Greenhouse gas; Offshore outsourcing; Outsourcing; Business; China; Offshoring; Carbon accounting; Government (linguistics); Environmental economics; Destinations; Natural resource economics; Economics; Industrial organization; Tourism; Marketing","score_opus":0.014507199330654752,"score_gpt":0.25931752247820655,"score_spread":0.2448103231475518,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346080964","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90293986,0.00008976883,0.09387643,0.0021142964,0.00014039685,0.00032011842,0.000004295555,0.000008951018,0.0005058642],"genre_scores_gemma":[0.9527376,0.0002174659,0.046090752,0.00019916576,0.0000707236,0.00001249355,5.271698e-7,0.000016336566,0.00065493275],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9981993,0.000090546346,0.00056078564,0.0001842141,0.00053442194,0.00043072953],"domain_scores_gemma":[0.99885106,0.00024631125,0.0003483109,0.0003201982,0.000003352889,0.00023073806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011574548,0.00020924848,0.00020910935,0.000019046833,0.00031100694,0.000016384087,0.0004740645,0.00007626142,0.0021655364],"category_scores_gemma":[0.000118800635,0.00010550266,0.0001200751,0.000046324836,0.00024860757,0.00023454134,0.0003179983,0.00013671807,0.00013709349],"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":[0.0013392407,0.0014857848,0.18686108,0.00006624047,0.00044342817,0.000046318222,0.0075210882,0.00821895,0.0648045,0.00069281703,0.009143003,0.7193776],"study_design_scores_gemma":[0.0014202893,0.00041486157,0.7109327,0.00022251369,0.00012218925,0.00015257834,0.0010731508,0.000016117267,0.12047326,0.02955392,0.1350513,0.0005671721],"about_ca_topic_score_codex":0.0000076020065,"about_ca_topic_score_gemma":0.0000016495801,"teacher_disagreement_score":0.7188104,"about_ca_system_score_codex":0.0018410938,"about_ca_system_score_gemma":0.000033022807,"threshold_uncertainty_score":0.99874663},"labels":[],"label_agreement":null},{"id":"W2346144340","doi":"","title":"Transportation Sector in Environmentally-Extended Economic Modelling: Case Study of Alberta, Canada","year":2016,"lang":"en","type":"article","venue":"Transportation Research Board 95th Annual MeetingTransportation Research Board","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Expansive; Goods and services; Variety (cybernetics); Consumption (sociology); Work (physics); Economics; Greenhouse gas; Business; Government (linguistics); Natural resource economics; Environmental economics; Economy; Engineering; Computer science","score_opus":0.03745038695118292,"score_gpt":0.3236793880692638,"score_spread":0.28622900111808086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2346144340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99518496,0.000021739044,0.00023896106,0.0005141438,0.000094685776,0.0028894003,0.00043390086,0.00003832877,0.0005838887],"genre_scores_gemma":[0.99772394,0.00009968169,0.00038608443,0.000026678144,0.00004176442,0.0004800711,0.00012247493,0.0000906498,0.0010286395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9903507,0.0012348773,0.0018221643,0.0014479763,0.0034154113,0.0017288668],"domain_scores_gemma":[0.99674714,0.0012221294,0.0002926692,0.0008107349,0.00017949488,0.00074780645],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0037138814,0.0005088335,0.00066117645,0.0005854036,0.0005210723,0.00004378343,0.0006767465,0.00025884758,0.0033769133],"category_scores_gemma":[0.0000987098,0.00044968197,0.00016569931,0.0010809132,0.001065692,0.0011454817,0.000023560193,0.0009385413,0.000086493725],"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":[0.0010693076,0.0015952379,0.92206407,0.0001289451,0.000065929446,0.0018927304,0.022974983,0.045208924,0.0021949715,0.0001640182,0.00059195823,0.002048921],"study_design_scores_gemma":[0.0038169245,0.0012768853,0.92463,0.00008216237,0.000035835845,0.0000041403787,0.064790204,0.0008371211,0.0019266063,0.00039508313,0.0016203228,0.00058473943],"about_ca_topic_score_codex":0.9679964,"about_ca_topic_score_gemma":0.9937611,"teacher_disagreement_score":0.044371802,"about_ca_system_score_codex":0.0025366775,"about_ca_system_score_gemma":0.00055331463,"threshold_uncertainty_score":0.9997955},"labels":[],"label_agreement":null},{"id":"W2354185271","doi":"10.1088/1748-9326/11/5/055004","title":"Trade in the US and Mexico helps reduce environmental costs of agriculture","year":2016,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","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":"McGill University","funders":"National Commission for Science and Technology; Consejo Nacional de Ciencia y Tecnología","keywords":"Agriculture; Production (economics); Agricultural economics; Crop; Environmental science; Fertilizer; Food processing; Environmental impact assessment; Business; Agronomy; Economics; Geography; Chemistry; Ecology","score_opus":0.014825176917045999,"score_gpt":0.274294414278417,"score_spread":0.259469237361371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354185271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99000126,0.00022732807,0.000018139077,0.008001532,0.000029535768,0.00078125775,0.00006413558,0.000009675722,0.000867151],"genre_scores_gemma":[0.9981663,0.00046965998,0.00008806624,0.000883109,0.00003381887,0.00007787171,0.000013140314,0.00002472347,0.00024327045],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9959315,0.00077885576,0.00038264965,0.0006334501,0.0014165019,0.0008570644],"domain_scores_gemma":[0.998737,0.0003849332,0.0000835637,0.00056944625,4.039733e-7,0.00022466954],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015630304,0.0002852876,0.00023901025,0.00008379705,0.00023264035,0.00003261492,0.0006278265,0.00012055136,0.0013733046],"category_scores_gemma":[0.000068703645,0.00016369381,0.000097038515,0.00021410506,0.0029358063,0.00046099155,0.0005585451,0.00044632543,0.00019218268],"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":[0.000058119094,0.00036820662,0.40314293,0.0000049199984,0.000008692286,0.00004125103,0.0009960274,0.000024578516,0.5838411,0.000017950259,0.0017812965,0.009714956],"study_design_scores_gemma":[0.0008340302,0.0002164333,0.95184165,0.000024767403,0.0000075112803,0.000041678817,0.002303611,0.000010575884,0.038378328,0.00015459824,0.0059450087,0.00024179988],"about_ca_topic_score_codex":0.00021239415,"about_ca_topic_score_gemma":0.000043008884,"teacher_disagreement_score":0.5486987,"about_ca_system_score_codex":0.001541583,"about_ca_system_score_gemma":0.0000053382028,"threshold_uncertainty_score":0.9997776},"labels":[],"label_agreement":null},{"id":"W2354309133","doi":"10.1007/s10098-016-1198-8","title":"Sustainability evaluation framework for building cooling systems: a comparative study of snow storage and conventional chiller systems","year":2016,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Chiller; Sustainability; Environmental science; Engineering; Ranking (information retrieval); Environmental engineering; Efficient energy use; Environmental economics; Civil engineering; Computer science; Production (economics)","score_opus":0.024335446950079172,"score_gpt":0.3123209214011014,"score_spread":0.28798547445102224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2354309133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232787,0.0003327143,0.0043905666,0.00019986954,0.000052951676,0.0025121947,0.0000747638,0.00007334471,0.00003572894],"genre_scores_gemma":[0.99922603,0.000098323326,0.00028512412,0.000008351651,0.000025514246,0.0002696703,0.000006073714,0.00001693181,0.00006396133],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99820966,0.00013098112,0.0004044484,0.0005256833,0.00035310563,0.00037613025],"domain_scores_gemma":[0.99903166,0.00025590678,0.00023087749,0.00038959118,0.000008295196,0.00008364976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006412433,0.0002506492,0.00036752273,0.00009064493,0.00027037118,0.00003743017,0.0001886926,0.00016867484,0.000037167087],"category_scores_gemma":[0.00037530667,0.00018552963,0.000052188123,0.00012131235,0.0012426408,0.0002815351,0.0005280529,0.00012103168,0.0000020552811],"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":[0.0006153631,0.0025057371,0.4836494,0.00041422335,0.0002532369,0.0000076017823,0.0052416646,0.0075675026,0.00632202,0.016810894,0.00027385177,0.4763385],"study_design_scores_gemma":[0.0027668788,0.0016281803,0.44669443,0.00011810054,0.000106751955,0.000023438244,0.5202438,0.007348986,0.0011356706,0.01909388,0.00030957352,0.0005302907],"about_ca_topic_score_codex":0.0005799089,"about_ca_topic_score_gemma":0.000026512722,"teacher_disagreement_score":0.51500213,"about_ca_system_score_codex":0.001213303,"about_ca_system_score_gemma":0.000013287683,"threshold_uncertainty_score":0.75656784},"labels":[],"label_agreement":null},{"id":"W2359716460","doi":"","title":"Assessment of Environmental Benefits from Phasing out CFCs in Refrigerator Industry of China","year":2011,"lang":"en","type":"article","venue":"Beijing Daxue xuebao. Ziran kexue ban","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Refrigerator car; Refrigerant; Environmental science; Montreal Protocol; Greenhouse gas; Electricity; China; Waste management; Global-warming potential; Resource (disambiguation); Environmental engineering; Global warming; Natural resource economics; Environmental protection; Ozone; Ozone layer; Engineering; Climate change; Meteorology; Geography; Ecology; Heat exchanger; Economics","score_opus":0.0218933117649529,"score_gpt":0.25641800360771,"score_spread":0.2345246918427571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2359716460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98767453,0.00011036059,0.00007539616,0.000024517807,0.00015282365,0.00043578842,0.00018466882,0.000025631107,0.01131625],"genre_scores_gemma":[0.99626696,0.000023450164,0.0033057176,0.00004960324,0.00003777217,0.000017386188,0.000037722308,0.000044540997,0.00021682952],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718016,0.00018770515,0.00084515766,0.00062390004,0.00060775055,0.00055530196],"domain_scores_gemma":[0.998602,0.00006140972,0.00037480518,0.0007361799,0.0000035051694,0.00022212528],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00056581397,0.00037020174,0.0005443077,0.00011069418,0.00011609997,0.000019369887,0.00050241145,0.00034962266,0.0035816773],"category_scores_gemma":[0.00004983224,0.00037375,0.00015087715,0.00023150959,0.0005637082,0.0005665392,0.00041268923,0.0006123273,0.000030225785],"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":[0.0000490329,0.0009314359,0.9135447,0.000024225377,0.00002591087,0.000018024415,0.0033043674,0.00028091378,0.07577773,0.000057307836,0.000022468757,0.0059638536],"study_design_scores_gemma":[0.00095003564,0.00020333363,0.9679716,0.00007914064,0.000036190402,0.0000029389555,0.0011326434,0.00023456864,0.028635986,0.00024916301,0.00015968729,0.00034468176],"about_ca_topic_score_codex":0.0023772812,"about_ca_topic_score_gemma":0.00038553105,"teacher_disagreement_score":0.054426905,"about_ca_system_score_codex":0.0007241125,"about_ca_system_score_gemma":0.000037743826,"threshold_uncertainty_score":0.99987143},"labels":[],"label_agreement":null},{"id":"W2374532054","doi":"10.1016/j.energy.2016.03.124","title":"At what valuation of sustainability can we abandon fossil fuels? A comprehensive multistage decision support model for electricity planning","year":2016,"lang":"en","type":"article","venue":"Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Fossil fuel; Environmental economics; Incentive; Renewable energy; Commercialization; Natural resource economics; Electricity; Greenhouse gas; Business; Economics; Engineering; Waste management; Microeconomics","score_opus":0.025739854224322137,"score_gpt":0.28318254905450624,"score_spread":0.2574426948301841,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2374532054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8477317,0.000119591285,0.15129977,0.00024490847,0.000051835177,0.00037407232,0.000025328975,0.00002315969,0.00012958965],"genre_scores_gemma":[0.9960343,0.000111360176,0.0013661676,0.000077431716,0.000015790878,0.000077734585,0.000015709971,0.000018889988,0.0022825915],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982009,0.00009013074,0.00037357496,0.00046036622,0.00041412935,0.0004609064],"domain_scores_gemma":[0.99884146,0.00038078468,0.00017616306,0.00040142032,0.000045067194,0.00015511204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034397206,0.0002072581,0.00026795143,0.00004673567,0.00018682909,0.000023767003,0.00019654912,0.00011256498,0.0002679057],"category_scores_gemma":[0.00022036521,0.0001529891,0.00013790613,0.00012885313,0.0002706528,0.00056719495,0.00023800529,0.00004925482,0.0000039156366],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015553902,0.0005363812,0.09755948,0.00010811282,0.000035503996,0.0000122376,0.0045774663,0.07460151,0.09722483,0.0005234731,0.0008970011,0.7223686],"study_design_scores_gemma":[0.008774457,0.002081581,0.24907057,0.00014607103,0.00012374813,0.000019032275,0.0041745305,0.28223214,0.22165833,0.21722248,0.012989162,0.0015078991],"about_ca_topic_score_codex":0.00039777512,"about_ca_topic_score_gemma":0.00032626442,"teacher_disagreement_score":0.7208607,"about_ca_system_score_codex":0.0021617946,"about_ca_system_score_gemma":0.000051453277,"threshold_uncertainty_score":0.62387145},"labels":[],"label_agreement":null},{"id":"W2382682470","doi":"","title":"Estimated historical and future emissions of CFC-11 and CFC-12 in China","year":2010,"lang":"en","type":"article","venue":"Acta Scientiae Circumstantiae","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":"Environmental science; China; Montreal Protocol; Refrigeration; Per capita; Air conditioning; Greenhouse gas; Conditioners; Meteorology; Agricultural economics; Environmental engineering; Engineering; Geography; Economics; Population; Ozone layer; Ozone","score_opus":0.006250528052316319,"score_gpt":0.22831193790659418,"score_spread":0.22206140985427786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2382682470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99583256,0.000101037105,0.000021289503,0.0009043499,0.00035854537,0.00023470366,0.000011724536,0.000025904574,0.0025098976],"genre_scores_gemma":[0.9988335,0.000057315432,0.0007864971,0.000041051007,0.000031129155,0.0000048678717,0.000005775306,0.000014807743,0.00022510097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983213,0.000052361436,0.0003160406,0.00051364524,0.00037090993,0.0004257413],"domain_scores_gemma":[0.9991085,0.000042897023,0.0001048159,0.00041791215,0.0000059542804,0.00031992883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00050649105,0.00019863156,0.00025255667,0.000096823045,0.00019735216,0.000044543987,0.00025137476,0.0001573178,0.0016616215],"category_scores_gemma":[0.00011725069,0.00017540864,0.00004809388,0.000417361,0.00073053763,0.00047454005,0.00035102037,0.00031216675,0.000005923749],"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":[0.000010826686,0.0001818265,0.77357537,0.000020207115,0.000002729249,0.000009429167,0.00073250686,0.0000036622243,0.22153129,0.00012602043,0.0009906254,0.0028155427],"study_design_scores_gemma":[0.00043251275,0.000047583824,0.9849681,0.000009969312,0.00001496239,0.000025083844,0.0002735432,0.00045379004,0.0022379416,0.0005159149,0.010814588,0.00020596],"about_ca_topic_score_codex":0.001336634,"about_ca_topic_score_gemma":0.00089285773,"teacher_disagreement_score":0.21929334,"about_ca_system_score_codex":0.00021741964,"about_ca_system_score_gemma":0.000021766255,"threshold_uncertainty_score":0.999251},"labels":[],"label_agreement":null},{"id":"W2397799926","doi":"","title":"Long-term economic impact of countervailing duties on coated free sheet paper imported by the United States from China, the Republic of Korea, and Indonesia","year":2008,"lang":"en","type":"article","venue":"Forest Products Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Revenue; Balance of trade; Duty; Agricultural economics; Business; Consumption (sociology); International trade; Production (economics); Economy; Economics; Geography; Political science; Finance; Law","score_opus":0.010413733557543148,"score_gpt":0.23026975272627334,"score_spread":0.21985601916873018,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2397799926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983221,0.0002098487,0.0000041763496,0.0009121103,0.000060279242,0.0002861185,0.00011884101,0.000008346039,0.00007812942],"genre_scores_gemma":[0.99925345,0.00043730414,0.000013003172,0.000060249342,0.00004812407,0.000003106461,0.000082191684,0.000016939592,0.00008565095],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985463,0.00016005187,0.000471906,0.00023781088,0.0002927213,0.000291204],"domain_scores_gemma":[0.99878573,0.00009250303,0.00041570436,0.00058333005,0.000018630786,0.00010407839],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006337775,0.00020310144,0.00024120443,0.000047027606,0.00032773614,0.00005134551,0.0004601249,0.000056178476,0.00083776755],"category_scores_gemma":[0.00012618519,0.00010580969,0.00008914042,0.00016354624,0.0011693316,0.0004402238,0.00020301928,0.00031843924,0.0000038616677],"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":[0.00018241054,0.000119981385,0.9863323,0.0000071643512,0.00007880749,0.000007910781,0.0018228377,0.0047878562,0.0020536315,0.0000036917031,0.0044146175,0.00018881615],"study_design_scores_gemma":[0.0005756082,0.00038257032,0.9951611,0.000016130803,0.000027882188,0.00014887674,0.00025028517,0.00047553165,0.0023603886,0.0004121407,0.0000727338,0.00011673189],"about_ca_topic_score_codex":0.006020535,"about_ca_topic_score_gemma":0.00029675142,"teacher_disagreement_score":0.008828845,"about_ca_system_score_codex":0.0003705342,"about_ca_system_score_gemma":0.000057362155,"threshold_uncertainty_score":0.9172967},"labels":[],"label_agreement":null},{"id":"W2398998433","doi":"10.14288/1.0092106","title":"Two essays analysing pollution from agriculture : alternatives for assessing indirect effects","year":2009,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Natural resource economics; Pollution; Environmental science; Econometrics; Economics; Environmental planning; Geography","score_opus":0.005283303152957737,"score_gpt":0.20003209973617464,"score_spread":0.1947487965832169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2398998433","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99353415,0.00006572995,0.00344018,0.00008530187,0.00004304614,0.00028662788,0.00005713699,0.000037642345,0.0024501833],"genre_scores_gemma":[0.9969716,0.000015609212,0.0026143915,0.00006929041,0.000024457122,3.758715e-7,0.000035692858,0.0000051820934,0.0002633726],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99902606,0.000079198835,0.00009061781,0.0003482997,0.00021935476,0.00023649388],"domain_scores_gemma":[0.99955785,0.000049089715,0.000119350174,0.0001574065,0.0000117575055,0.00010456856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000157312,0.00005377713,0.0002152289,0.000017069946,0.00032947303,0.00010720515,0.00020534376,0.000069822505,0.00012862141],"category_scores_gemma":[0.00003780746,0.00014650438,0.00013667966,0.00020887483,0.00020595272,0.0007580412,0.00008229553,0.000090090245,0.0000075294174],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001309,0.0002719086,0.20885418,0.000019372155,0.000040215382,0.00005028886,0.00057550997,0.00039747093,0.030941544,8.811344e-7,0.0007448208,0.75809073],"study_design_scores_gemma":[0.0007759305,0.000072938434,0.99478716,0.000047919282,0.000065102344,0.00000436014,0.0013758567,0.0004499808,0.00011083275,0.0020815558,0.000059265138,0.0001691188],"about_ca_topic_score_codex":0.07087106,"about_ca_topic_score_gemma":0.05745324,"teacher_disagreement_score":0.78593296,"about_ca_system_score_codex":0.00037518825,"about_ca_system_score_gemma":0.000009179001,"threshold_uncertainty_score":0.95974576},"labels":[],"label_agreement":null},{"id":"W2403816357","doi":"10.5194/hess-20-4223-2016","title":"Analysis of the characteristics of the global virtual water trade networkusing degree and eigenvector centrality, with a focus on food and feed crops","year":2016,"lang":"en","type":"article","venue":"Hydrology and earth system sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"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":"Centrality; Virtual water; Business; Economic shortage; China; Water scarcity; Resource (disambiguation); Degree (music); Geography; International trade; Agricultural economics; Economics; Computer science; Agriculture; Mathematics; Statistics","score_opus":0.01082249399872752,"score_gpt":0.20017503995006214,"score_spread":0.1893525459513346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2403816357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987766,0.000030584863,0.000027198359,0.0006652009,0.000039680668,0.00014662386,0.00002246225,0.0000034756663,0.0002881607],"genre_scores_gemma":[0.99991184,0.0000071053505,0.000011094918,0.000046415378,0.0000064521855,0.0000014419021,1.663807e-7,0.0000015455131,0.000013912428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989956,0.00018436127,0.00017005557,0.00022873926,0.00019477602,0.00022646086],"domain_scores_gemma":[0.99962586,0.000056551526,0.00009944986,0.0001594006,0.0000020269204,0.000056704783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041829605,0.00009569109,0.0002052308,0.000015539648,0.00026857853,0.0000145955855,0.0001424334,0.00004945785,0.000024209858],"category_scores_gemma":[0.000010748327,0.00003463448,0.00003775394,0.0002184635,0.0025517927,0.0000851107,0.00015675883,0.00003737407,3.850069e-7],"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":[0.000036995192,0.000016637234,0.99612045,0.000008515726,0.00003857932,4.7546035e-7,0.00033196123,0.00012688346,0.00079051964,0.00028363764,4.2427072e-7,0.0022448904],"study_design_scores_gemma":[0.0001708216,0.0003512837,0.99689233,0.000019617655,0.00010410469,0.000014546145,0.00022158927,0.00078825874,0.0012763758,0.00009449976,0.000010448299,0.000056133453],"about_ca_topic_score_codex":0.00018482211,"about_ca_topic_score_gemma":0.0006139359,"teacher_disagreement_score":0.0022832141,"about_ca_system_score_codex":0.000026389029,"about_ca_system_score_gemma":0.000006907653,"threshold_uncertainty_score":0.9402186},"labels":[],"label_agreement":null},{"id":"W2405467648","doi":"10.1021/acs.est.5b00078","title":"Impact of Occupational Exposure to Chemicals in Life Cycle Assessment: A Novel Characterization Model Based on Measured Concentrations and Labor Hours","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Bombardier (Canada); Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; ArcelorMittal; Bombardier","keywords":"Life-cycle assessment; Occupational exposure; Environmental science; Exposure assessment; Environmental health; Medicine; Economics; Production (economics)","score_opus":0.01530017872032703,"score_gpt":0.2917213279417569,"score_spread":0.2764211492214299,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2405467648","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9952324,0.000005044647,0.003397858,0.00043074947,0.000022257795,0.0004921593,0.000116990246,0.000029714909,0.00027284218],"genre_scores_gemma":[0.9964517,0.000003231054,0.0032118727,0.00021736417,0.000005550086,0.000055377357,0.000027458631,0.000011479537,0.000016000053],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980452,0.000029562647,0.00030876402,0.00052383717,0.0006681492,0.00042449115],"domain_scores_gemma":[0.99913794,0.000020106174,0.00011922168,0.00035742274,0.0000067031187,0.00035862467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005190106,0.00019505729,0.00021219996,0.00025602168,0.00011231434,0.000022882157,0.00034471252,0.00012740763,0.00020080032],"category_scores_gemma":[0.00019860067,0.00017982502,0.000038502803,0.0009287013,0.0014808468,0.0004388846,0.0002610596,0.00016815717,0.000016805305],"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":[0.000042546104,0.0003617484,0.55625063,7.93132e-7,0.0000012719199,5.528846e-7,0.00014450496,0.09026549,0.3523917,0.000039313265,0.0000030879246,0.00049838854],"study_design_scores_gemma":[0.0007489299,0.0004646379,0.91197324,0.000007473505,0.000004663746,0.0000019696104,0.00022326395,0.0774527,0.008795938,0.0001469429,0.0000085120155,0.00017171443],"about_ca_topic_score_codex":0.000053642474,"about_ca_topic_score_gemma":0.000011416853,"teacher_disagreement_score":0.35572264,"about_ca_system_score_codex":0.0017976487,"about_ca_system_score_gemma":0.00016417113,"threshold_uncertainty_score":0.7333051},"labels":[],"label_agreement":null},{"id":"W2417294848","doi":"10.1016/j.eiar.2016.05.005","title":"Evaluating the environmental sustainability of biomass-based energy strategy: Using an impact matrix framework","year":2016,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Alberta Innovates Bio Solutions; Innovate BC","keywords":"Sustainability; Environmental resource management; Nexus (standard); Business; Sustainable development; Natural resource economics; Environmental economics; Environmental planning; Environmental impact assessment; Energy security; Life-cycle assessment; Biomass (ecology); Climate change; Sustainability organizations; Ecosystem services; Economics; Renewable energy; Ecosystem; Environmental science; Production (economics); Ecology; Engineering","score_opus":0.047186784854294846,"score_gpt":0.4458686484480427,"score_spread":0.39868186359374785,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2417294848","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98525864,0.004369091,0.0076786997,0.00037744566,0.000074410265,0.0017653089,0.00028067012,0.0000568883,0.0001388643],"genre_scores_gemma":[0.9950117,0.0020823486,0.0020658132,0.00029827454,0.00006319358,0.000119799224,0.00009769822,0.00010398939,0.0001571665],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99279124,0.0016036265,0.0013779957,0.0011503678,0.0017652187,0.0013115439],"domain_scores_gemma":[0.995706,0.00048634148,0.000916626,0.0022019115,0.000008160793,0.0006809262],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002701951,0.000984353,0.0010233509,0.000087095556,0.000486588,0.00007931865,0.0010845275,0.00026113563,0.024818836],"category_scores_gemma":[0.00016408224,0.0005447298,0.0009664997,0.00040956162,0.0017917844,0.0013537209,0.0006699716,0.00039608643,0.00007570875],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015915498,0.0027032008,0.7760257,0.0003044056,0.0001791231,0.000022196822,0.0001143305,0.0065867896,0.13663642,0.00005425434,0.00013014923,0.07708423],"study_design_scores_gemma":[0.0014013156,0.0042401548,0.9749274,0.00064264546,0.00052080234,0.000066308785,0.00037073757,0.008285679,0.0049685426,0.0027432803,0.00051066204,0.001322421],"about_ca_topic_score_codex":0.0010034106,"about_ca_topic_score_gemma":0.000011795815,"teacher_disagreement_score":0.19890171,"about_ca_system_score_codex":0.009160906,"about_ca_system_score_gemma":0.00024101796,"threshold_uncertainty_score":0.9997004},"labels":[],"label_agreement":null},{"id":"W2419050505","doi":"10.1016/j.jclepro.2016.06.008","title":"A comparative lifecycle assessment of rural parboiling system and an integrated steaming and drying system fired with rice husk","year":2016,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Life-cycle assessment; Parboiling; Husk; Steaming; Environmental science; Environmental impact assessment; Agricultural engineering; Agriculture; Environmental engineering; Engineering; Geography; Chemistry; Ecology; Economics","score_opus":0.010831860547078763,"score_gpt":0.26629923487881607,"score_spread":0.25546737433173733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2419050505","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9984179,0.000047779093,0.00096355216,0.000089206456,0.000081935395,0.00019130713,0.0000014090148,0.000012128873,0.00019476238],"genre_scores_gemma":[0.99874514,0.000014552764,0.001104969,0.0000030416045,0.00007145033,0.0000022080756,4.3693817e-7,0.000007996738,0.00005019093],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998858,0.00019362323,0.00036569883,0.00014939332,0.00029209812,0.00014119913],"domain_scores_gemma":[0.9992549,0.00003718149,0.00043328822,0.00013113876,0.000033448967,0.00011004565],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008078006,0.00011908092,0.00027904764,0.000045298373,0.00010812423,0.000025445115,0.00006360723,0.0000344926,0.0000067723818],"category_scores_gemma":[0.000023205343,0.0000680377,0.000023906876,0.000090038,0.00021334252,0.000823269,0.00004211101,0.00011098497,4.99725e-7],"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":[0.00054757914,0.00024537972,0.6469416,0.0004328848,0.00010444739,0.000016843258,0.005741529,0.0045408746,0.31862894,0.000036316596,0.000027667113,0.022735931],"study_design_scores_gemma":[0.0011877355,0.0012631951,0.86304665,0.0008514409,0.000116462186,0.0006261622,0.10148454,0.0029583361,0.028148934,0.000014231193,0.000076130884,0.0002262016],"about_ca_topic_score_codex":0.00010464102,"about_ca_topic_score_gemma":0.000016352924,"teacher_disagreement_score":0.29048,"about_ca_system_score_codex":0.0005451418,"about_ca_system_score_gemma":0.000016808943,"threshold_uncertainty_score":0.27744967},"labels":[],"label_agreement":null},{"id":"W2423703425","doi":"10.14288/1.0072438","title":"Greenhouse gases embodied in international trade : an input-output analysis for Canada : 2002","year":2011,"lang":"en","type":"article","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Economics; Embodied cognition; Environmental science; International trade; Natural resource economics; Computer science; Geology","score_opus":0.012909438036990632,"score_gpt":0.18047497824428535,"score_spread":0.16756554020729472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2423703425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959863,0.000007711194,0.0002816089,0.00006938015,0.000040666895,0.00020216462,0.00021486408,0.000014421399,0.0031828966],"genre_scores_gemma":[0.9986572,0.000012098454,0.0006568978,0.00007539552,0.0000059100294,9.380501e-7,0.000028504242,0.000006734795,0.000556311],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990759,0.00004045541,0.00011971769,0.00031079768,0.00022264922,0.00023048694],"domain_scores_gemma":[0.9995497,0.00001978866,0.00007321934,0.00020929369,0.000005139765,0.0001428477],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001442028,0.000043097367,0.0001851515,0.000035687928,0.00010072065,0.000019920326,0.00035031032,0.0000526137,0.0018578424],"category_scores_gemma":[0.00001968725,0.00013556365,0.00009547291,0.0002613379,0.0002287273,0.00041109533,0.00011507092,0.000064771906,0.0000026884093],"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":[0.000022867434,0.00028979522,0.9177043,0.000008154079,0.000057344863,0.00008063091,0.00067014364,0.00021189524,0.000026025333,4.6856417e-7,0.0012291536,0.07969921],"study_design_scores_gemma":[0.0005158491,0.000064499094,0.9947486,0.000004920647,0.00006009688,0.000003962645,0.0027977452,0.001118999,0.0000020816906,0.00009532702,0.00044540694,0.00014253015],"about_ca_topic_score_codex":0.98395735,"about_ca_topic_score_gemma":0.9992282,"teacher_disagreement_score":0.07955668,"about_ca_system_score_codex":0.0005390048,"about_ca_system_score_gemma":0.00003955495,"threshold_uncertainty_score":0.9990546},"labels":[],"label_agreement":null},{"id":"W243825896","doi":"","title":"Estonia's Energy-related Greenhouse Gas Emissions in 1995-2011: A Structural Decomposition Analysis","year":2015,"lang":"en","type":"article","venue":"Review of Economics and Finance","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Energy consumption; Natural resource economics; Goods and services; Economics; Efficient energy use; Environmental science; Consumption (sociology); Agricultural economics; Economy; Engineering; Ecology","score_opus":0.008258788739287065,"score_gpt":0.24142317011060216,"score_spread":0.2331643813713151,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W243825896","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.987592,0.011204133,0.000015859223,0.00024642615,0.000017546769,0.00010167534,0.000009961526,0.0000031875177,0.0008092451],"genre_scores_gemma":[0.9018767,0.09746946,0.0004162275,0.000112444395,0.000003078419,0.000006066107,0.0000142579975,0.000004747375,0.00009701062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924356,0.00003585322,0.00033855703,0.00020779516,0.000036972942,0.00013724068],"domain_scores_gemma":[0.9995533,0.0000137737525,0.00014886653,0.00020986707,0.0000028467452,0.00007134319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002516094,0.000099980825,0.0003100432,0.00003297726,0.000030840416,0.000006340804,0.00009614081,0.000042000283,0.00017171206],"category_scores_gemma":[0.000014139117,0.000089730136,0.00008201409,0.00015084498,0.000118816955,0.0001700707,0.000093797025,0.000052931104,0.000009356978],"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":[0.000049337013,0.0002086966,0.82928103,0.00040023145,0.000105490886,0.000011650967,0.0007079515,0.020191217,0.00007455781,0.005287882,0.000547684,0.14313427],"study_design_scores_gemma":[0.00095303153,0.00023833911,0.89559275,0.0004551806,0.0002680239,0.00002232697,0.00008589385,0.060965315,0.00019587313,0.015911058,0.024736373,0.00057584955],"about_ca_topic_score_codex":0.00078525255,"about_ca_topic_score_gemma":0.00033361404,"teacher_disagreement_score":0.14255843,"about_ca_system_score_codex":0.00020711159,"about_ca_system_score_gemma":0.000011760963,"threshold_uncertainty_score":0.36590886},"labels":[],"label_agreement":null},{"id":"W2462852579","doi":"10.1002/etc.3542","title":"Exploring REACH as a potential data source for characterizing ecotoxicity in life cycle assessment","year":2016,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"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":"Ecotoxicity; Environmental science; Life-cycle assessment; Environmental chemistry; Life cycle inventory; Chemistry; Toxicity","score_opus":0.03222489060164993,"score_gpt":0.265179138955123,"score_spread":0.2329542483534731,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2462852579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747807,0.000039358438,0.00034532745,0.00073547603,0.000057253717,0.0003528328,0.000086993095,0.000027973805,0.0008767206],"genre_scores_gemma":[0.99784505,0.00025090558,0.0004389915,0.00034403903,0.00007749502,0.00015620378,0.000070039,0.000026203967,0.0007910921],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99812984,0.00005895763,0.000315264,0.00077549065,0.00019384503,0.00052662316],"domain_scores_gemma":[0.9989773,0.00009544408,0.00010258927,0.0005646604,5.4365245e-7,0.0002594423],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041596455,0.00024916595,0.00024754409,0.000015683589,0.00018630305,0.000020291514,0.00038425726,0.00016450172,0.0029488476],"category_scores_gemma":[0.000071778,0.00021317028,0.000051859337,0.00003955212,0.000534713,0.000688808,0.0010553811,0.00018879103,0.000053437303],"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":[0.0001021802,0.00040722746,0.13939522,0.000022892724,0.000016462507,0.000015084198,0.00012849703,0.000039725757,0.83998656,0.0000024924411,0.0000564433,0.019827181],"study_design_scores_gemma":[0.002083303,0.00017318082,0.89940345,0.000022138645,0.000032106615,0.000055152665,0.0010193832,0.00095547916,0.0883979,0.00037900085,0.006945954,0.0005329762],"about_ca_topic_score_codex":0.00003165361,"about_ca_topic_score_gemma":0.000008775952,"teacher_disagreement_score":0.7600082,"about_ca_system_score_codex":0.0006417081,"about_ca_system_score_gemma":0.000016025055,"threshold_uncertainty_score":0.9979626},"labels":[],"label_agreement":null},{"id":"W2463382763","doi":"10.1007/978-3-319-26045-7_6","title":"Sustainability Assessment Methodologies","year":2015,"lang":"en","type":"book-chapter","venue":"Green energy and technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Sustainability; Raw material; Biomass (ecology); Process (computing); Environmental science; Engineering; Environmental resource management; Environmental planning; Business; Waste management; Computer science; Ecology; Biology","score_opus":0.028532122690959914,"score_gpt":0.2933860462515902,"score_spread":0.2648539235606303,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463382763","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003382398,0.0012985034,0.0020596243,0.0075211055,0.00012484762,0.000397015,0.000027667296,0.0004400917,0.9847487],"genre_scores_gemma":[0.12058023,0.0004238964,0.0052989605,0.00026333568,0.000055181015,0.00006296308,0.00004406754,0.0000714535,0.8731999],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982224,0.00006342424,0.00030469662,0.00069955544,0.00028148884,0.0004284085],"domain_scores_gemma":[0.99884486,0.000072398994,0.0001587979,0.00074280845,0.000030544415,0.00015060014],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005637394,0.000404734,0.0005013207,0.00014177473,0.00014412754,0.000014606071,0.00037013408,0.0009853635,0.0017531272],"category_scores_gemma":[0.00010523992,0.00035979418,0.00007667281,0.00008542445,0.0021222385,0.00011848589,0.0014377378,0.0004296822,0.000025461983],"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":[0.000028477338,0.00004799551,0.010736062,0.000043686803,0.000071711635,0.000116031726,0.000047310936,0.000034651264,0.000037652582,0.5900564,0.0054408563,0.39333916],"study_design_scores_gemma":[0.00012128248,0.00016463586,0.0012606793,0.0000038480002,0.00002994917,0.000023083143,0.000094588206,0.00001605681,0.000032092237,0.5706409,0.42736468,0.0002481663],"about_ca_topic_score_codex":0.0008704766,"about_ca_topic_score_gemma":0.0005360647,"teacher_disagreement_score":0.42192385,"about_ca_system_score_codex":0.0012016499,"about_ca_system_score_gemma":0.0000677408,"threshold_uncertainty_score":0.9998854},"labels":[],"label_agreement":null},{"id":"W2463862144","doi":"10.1007/s11367-016-1163-0","title":"Life cycle inventories of electricity supply through the lens of data quality: exploring challenges and opportunities","year":2016,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; HEC Montréal","keywords":"Electricity; Comparability; Data quality; Mains electricity; Consistency (knowledge bases); Computer science; Representativeness heuristic; Quality (philosophy); Environmental economics; Transparency (behavior); Life-cycle assessment; Risk analysis (engineering); Business; Engineering; Operations management; Economics","score_opus":0.23403434281866184,"score_gpt":0.36894715246168935,"score_spread":0.13491280964302751,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2463862144","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96123284,0.00090754975,0.0003891328,0.03569444,0.0001541796,0.00009771558,0.00003893511,0.0000037832979,0.001481422],"genre_scores_gemma":[0.9875588,0.011579759,0.00030560303,0.00039125624,0.00010674305,0.0000041094,0.0000017287406,0.000008012948,0.000044004057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978824,0.00024174708,0.00063857564,0.0001382843,0.00094325276,0.00015569649],"domain_scores_gemma":[0.99829274,0.00052268966,0.0006514661,0.00038641246,0.00005202264,0.0000946597],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017566312,0.00011479122,0.00023143919,0.000028614322,0.00006827536,0.00002330353,0.001092954,0.000026663878,0.00020935395],"category_scores_gemma":[0.0003955095,0.000057534824,0.00006947408,0.00003788741,0.00054183224,0.0013437541,0.0007907217,0.00012874458,0.0000013954779],"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":[0.0013295227,0.0024474005,0.45143223,0.0001776429,0.0022884142,0.000038530434,0.025056925,0.0018594341,0.025761321,0.081077754,0.0030173145,0.40551353],"study_design_scores_gemma":[0.0011255842,0.0003660031,0.94515586,0.000113363894,0.000074882606,0.00002737666,0.015870875,0.00024125162,0.0025946142,0.025056051,0.009178414,0.00019570683],"about_ca_topic_score_codex":0.00032547463,"about_ca_topic_score_gemma":0.00006181462,"teacher_disagreement_score":0.49372366,"about_ca_system_score_codex":0.00020484728,"about_ca_system_score_gemma":0.00011845293,"threshold_uncertainty_score":0.2346202},"labels":[],"label_agreement":null},{"id":"W2470902106","doi":"","title":"Screening of options for VOC emissions reductions in manufacturing office furniture partitions","year":2008,"lang":"en","type":"article","venue":"International Conference on Energy & Environment","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Christian ministry; Pollution prevention; Furniture industry; Plan (archaeology); Air pollution; Waste management; Pollution; Baseline (sea); Volatile organic compound; Environmental science; Manufacturing; Environmental economics; Operations management; Business; Engineering; Manufacturing engineering","score_opus":0.04063808817248959,"score_gpt":0.27187838583112983,"score_spread":0.23124029765864024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2470902106","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96577764,0.000021744483,0.0116960835,0.0019226163,0.00015644483,0.0002875751,0.00012696361,0.0000283173,0.0199826],"genre_scores_gemma":[0.9928897,0.00028974673,0.0038522428,0.00011416341,0.00004190845,0.00010583936,0.000098623605,0.00001322625,0.0025945217],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9985804,0.000050422997,0.00035728302,0.00037043652,0.00037814255,0.00026333157],"domain_scores_gemma":[0.9994034,0.000059707876,0.00012394448,0.00028058732,0.000005948523,0.00012640565],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012397043,0.00017944725,0.00016151064,0.0000931925,0.00019394369,0.000011140148,0.00027034938,0.00008568553,0.0061686845],"category_scores_gemma":[0.000028903625,0.0001790095,0.000116595314,0.00005961819,0.00033801378,0.00021867534,0.00011298288,0.00015089857,0.000036385096],"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":[0.00045451248,0.0030799874,0.057155527,0.000018238426,0.00015221359,0.000044457378,0.0013927902,0.8390718,0.0489489,0.026300006,0.0017060157,0.021675551],"study_design_scores_gemma":[0.001410545,0.00033840298,0.8965874,0.000080210644,0.000034068427,0.0000435215,0.0013314486,0.010431472,0.036926556,0.00756287,0.044637118,0.00061640353],"about_ca_topic_score_codex":0.00042178005,"about_ca_topic_score_gemma":0.00010558101,"teacher_disagreement_score":0.8394319,"about_ca_system_score_codex":0.0003448752,"about_ca_system_score_gemma":0.00001620877,"threshold_uncertainty_score":0.99473983},"labels":[],"label_agreement":null},{"id":"W2472298568","doi":"10.5539/ijef.v8n7p294","title":"Analysis on the Input-Output Relevancy between China’s Financial Industry and Three Major Industries","year":2016,"lang":"en","type":"article","venue":"International Journal of Economics and Finance","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Upgrade; National economy; Finance; Dependency (UML); Business; Financial services; Economics; Economy; Industrial organization; Economic system; Engineering; Computer science; Political science","score_opus":0.012585191378528529,"score_gpt":0.2230925092482864,"score_spread":0.21050731786975788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2472298568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99055904,0.000046844896,0.00011661856,0.0085957,0.00009838976,0.000048519065,0.000035033238,0.000001189045,0.000498693],"genre_scores_gemma":[0.99862635,0.0006202032,0.00006652083,0.00022692925,0.00012835584,0.0000014839604,6.3010503e-7,0.0000045233924,0.0003250061],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993366,0.00001927824,0.00028633833,0.00014272735,0.00009642659,0.00011863645],"domain_scores_gemma":[0.9994647,0.000104534316,0.0002628008,0.00010824321,0.000011089593,0.000048669943],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033398377,0.00009831483,0.00016525073,0.000056365367,0.00007478674,0.00004694773,0.00024605938,0.00010259302,0.00012449086],"category_scores_gemma":[0.00014903895,0.000058230635,0.00006157688,0.00006394914,0.000274875,0.0002947003,0.00015236028,0.00023011121,0.0000062911886],"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":[0.00005267867,0.000028585959,0.8991991,4.883392e-7,0.00010053589,0.0000067261285,0.000100370606,0.00042520015,0.000010252419,0.002510401,0.000244299,0.097321354],"study_design_scores_gemma":[0.00031045816,0.00009314574,0.9793914,0.000012873391,0.000034221615,0.000009465095,0.000022692635,0.000103934595,0.00017732313,0.011167696,0.0085952515,0.000081524195],"about_ca_topic_score_codex":0.00006113735,"about_ca_topic_score_gemma":0.00006930416,"teacher_disagreement_score":0.09723983,"about_ca_system_score_codex":0.00017914611,"about_ca_system_score_gemma":0.000022372595,"threshold_uncertainty_score":0.23745763},"labels":[],"label_agreement":null},{"id":"W2478911749","doi":"10.1016/j.ecolind.2016.06.049","title":"Enhancing life cycle impact assessment from climate science: Review of recent findings and recommendations for application to LCA","year":2016,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":154,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Climate change; Greenhouse gas; Environmental science; Context (archaeology); Metric (unit); Environmental resource management; Robustness (evolution); Impact assessment; Climate sensitivity; Global warming; Environmental impact assessment; Computer science; Environmental planning; Climate model; Environmental economics; Business; Ecology; Geography; Political science","score_opus":0.013752185498839794,"score_gpt":0.3437802758176286,"score_spread":0.3300280903187888,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2478911749","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988355,0.000052474275,0.0019605095,0.007833618,0.0000395391,0.0009915187,0.000074393916,0.000019964358,0.00067302544],"genre_scores_gemma":[0.99086773,0.0028999255,0.004628822,0.0013697593,0.000012505765,0.00019095866,0.000014170213,0.0000065591084,0.000009592901],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985709,0.000054721542,0.00036266533,0.0004142423,0.0002395932,0.0003578455],"domain_scores_gemma":[0.99900275,0.00024451106,0.00014866066,0.00023913574,0.000010131783,0.00035477802],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013256987,0.00012194033,0.00021940637,0.000056240537,0.00024067188,0.00001615558,0.00023444384,0.000059601076,0.0054566483],"category_scores_gemma":[0.0006523708,0.00007507356,0.00005672293,0.00039376252,0.000399467,0.00022827249,0.0003390981,0.000060176,0.000052833995],"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":[0.00003442725,0.00049836014,0.84561604,0.00012848005,0.0000164872,3.5490254e-7,0.00025285597,0.0000114886025,0.041292775,0.00039160106,0.0016598462,0.110097304],"study_design_scores_gemma":[0.00019917451,0.00025241295,0.98655283,0.000092185786,0.000016301674,3.2032233e-7,0.00008160347,0.000025450525,0.004459434,0.0009773294,0.0072126966,0.0001302784],"about_ca_topic_score_codex":0.000036636553,"about_ca_topic_score_gemma":0.000013296914,"teacher_disagreement_score":0.14093679,"about_ca_system_score_codex":0.0008935863,"about_ca_system_score_gemma":0.00004423028,"threshold_uncertainty_score":0.9954525},"labels":[],"label_agreement":null},{"id":"W2490592702","doi":"10.1177/0734242x16659923","title":"Optimizing emissions targets for residential recycling programmes: Why ‘more’ is not necessarily better with respect to diversion","year":2016,"lang":"en","type":"article","venue":"Waste Management & Research The Journal for a Sustainable Circular Economy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"York University","funders":"","keywords":"Tonne; Greenhouse gas; Waste management; Environmental science; Carbon dioxide equivalent; Natural resource economics; Environmental engineering; Engineering; Economics","score_opus":0.026501702277966072,"score_gpt":0.30896242528553336,"score_spread":0.2824607230075673,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2490592702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62644154,0.0002796455,0.26983085,0.07887012,0.00017861984,0.015435728,0.000026899865,0.00007985209,0.008856736],"genre_scores_gemma":[0.94744223,0.00020479657,0.008316624,0.0026390026,0.00032656634,0.0010476053,0.000009131247,0.0001260984,0.039887946],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99592775,0.00033436937,0.00047036685,0.0006511839,0.000766011,0.0018503224],"domain_scores_gemma":[0.9979849,0.00038393695,0.00017802126,0.00075573707,0.00016032904,0.00053711154],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0066349185,0.00030448494,0.0002907383,0.000308256,0.0028825349,0.00058110734,0.0011023756,0.00008445152,0.0004903135],"category_scores_gemma":[0.00025380697,0.00018152887,0.00023667548,0.00046268778,0.00043835898,0.00128265,0.0010709912,0.00035814696,0.000039612085],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.016798457,0.0017936893,0.030047439,0.0037362725,0.0022886386,0.0014319402,0.024516247,0.03201837,0.009678699,0.0033114885,0.7532388,0.12113994],"study_design_scores_gemma":[0.0033645106,0.0012850063,0.00101955,0.00018156816,0.00016387652,0.00003289648,0.06662318,0.00084840576,0.0045864293,0.017683657,0.90363973,0.000571203],"about_ca_topic_score_codex":0.00016163598,"about_ca_topic_score_gemma":0.000013241391,"teacher_disagreement_score":0.3210007,"about_ca_system_score_codex":0.0023037838,"about_ca_system_score_gemma":0.000056151985,"threshold_uncertainty_score":0.9984156},"labels":[],"label_agreement":null},{"id":"W2495377984","doi":"10.1002/9780470999677.ch6","title":"LCI Case Studies","year":2001,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Metropolitan area; Agency (philosophy); Incineration; Environmental planning; Section (typography); Waste management; Engineering; Business; Environmental science; Environmental protection; Geography; Archaeology","score_opus":0.01708585792935674,"score_gpt":0.2961758411568687,"score_spread":0.27908998322751194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495377984","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003932342,0.00045737188,0.000044577693,0.000060409606,0.00010748883,0.00025082982,0.000006622999,0.00014708172,0.99499327],"genre_scores_gemma":[0.005506626,0.000368076,0.0007187308,0.00025228647,0.000069056536,0.000014031439,0.0000034125212,0.00016033523,0.99290746],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99911505,0.000032113203,0.00011463884,0.000304858,0.00016910811,0.0002642029],"domain_scores_gemma":[0.99946296,0.000015327121,0.000052375035,0.00036677718,6.705757e-7,0.00010190085],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00008870329,0.00021713189,0.00021250045,0.000027583412,0.000052474446,0.000009631631,0.00011232783,0.00013505135,0.2430086],"category_scores_gemma":[0.000023644354,0.00016472435,0.00006255299,0.00008693848,0.0003766248,0.000044992088,0.00028447568,0.00010419452,0.0039567803],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[9.931098e-7,0.000055972163,0.015313425,0.000017563221,0.00003056167,0.0025608737,0.00010131416,0.00000473431,0.0000054399466,0.000014291,0.9762534,0.00564142],"study_design_scores_gemma":[0.000109963024,0.000032119922,0.00030019393,0.0000076056444,0.000022518649,0.00077993894,0.0014108293,0.000004229823,0.00001801015,0.00018297735,0.9968739,0.0002576968],"about_ca_topic_score_codex":0.0043884357,"about_ca_topic_score_gemma":0.0029622565,"teacher_disagreement_score":0.23905182,"about_ca_system_score_codex":0.00034169675,"about_ca_system_score_gemma":0.0000022660288,"threshold_uncertainty_score":0.9968188},"labels":[],"label_agreement":null},{"id":"W2495443532","doi":"10.1111/gcbb.12389","title":"Estimating product and energy substitution benefits in national‐scale mitigation analyses for Canada","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":127,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Government of Canada; Australian Government; Strong","keywords":"Bioenergy; Greenhouse gas; Raw material; Environmental science; Life-cycle assessment; Renewable energy; Fossil fuel; Energy supply; Product (mathematics); Natural resource economics; Production (economics); Waste management; Biofuel; Engineering; Economics; Energy (signal processing); Ecology; Mathematics","score_opus":0.01565142478496849,"score_gpt":0.257391890037374,"score_spread":0.2417404652524055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2495443532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968555,0.000072902556,0.0013734145,0.0008705634,0.00006527618,0.00006849219,0.000022561013,0.000010061339,0.0006612175],"genre_scores_gemma":[0.9972908,0.000013834755,0.0019514133,0.00012424092,0.000041054554,0.000039627816,0.000020436355,0.0000060759985,0.000512502],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99913937,0.00002652944,0.00016139142,0.00026625933,0.00020654847,0.00019988726],"domain_scores_gemma":[0.9997219,0.000051419214,0.000051624913,0.0000976744,0.0000096121685,0.00006781417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001487014,0.00009520083,0.0000894825,0.000028979834,0.000091026355,0.0000115246385,0.000063081,0.00002942176,0.00007318426],"category_scores_gemma":[0.00012583325,0.00007060055,0.000018676023,0.00011949161,0.00012566605,0.00023189829,0.0000480878,0.000017294587,0.0000011955576],"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":[0.000068964044,0.00016677946,0.5913019,0.000037068978,0.000020759664,0.0000031363188,0.00014432224,0.04360897,0.13978046,0.0050208815,0.001739364,0.21810739],"study_design_scores_gemma":[0.0009571304,0.00013354093,0.8230822,0.00004535956,0.0000160306,0.000009309593,0.00009721834,0.013644231,0.14273429,0.0054592113,0.013356715,0.00046476017],"about_ca_topic_score_codex":0.19021526,"about_ca_topic_score_gemma":0.5332935,"teacher_disagreement_score":0.3430782,"about_ca_system_score_codex":0.0007664375,"about_ca_system_score_gemma":0.00004685538,"threshold_uncertainty_score":0.81517714},"labels":[],"label_agreement":null},{"id":"W2499045961","doi":"10.1021/acs.est.5b06072","title":"Life Cycle Greenhouse Gas Emissions from Uranium Mining and Milling in Canada","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":43,"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 Saskatchewan","funders":"Innovation Saskatchewan","keywords":"Greenhouse gas; Life-cycle assessment; Environmental science; Waste management; Uranium; Hydroelectricity; Environmental engineering; Production (economics); Engineering; Metallurgy; Materials science","score_opus":0.00426597637706725,"score_gpt":0.19164630511351136,"score_spread":0.1873803287364441,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2499045961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963725,0.00011968049,0.00007988811,0.0024266385,0.00007521769,0.00021562082,0.000028038567,0.000046277095,0.0006361001],"genre_scores_gemma":[0.9984601,0.00016089427,0.00090161484,0.00031054238,0.000011612469,0.000020664413,0.0000015260626,0.000017419377,0.00011561153],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99750715,0.000036147758,0.00032102512,0.00080917764,0.0005151158,0.0008114054],"domain_scores_gemma":[0.99883914,0.00008015102,0.000089774745,0.00049181655,8.25848e-7,0.00049830833],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002790487,0.00023867299,0.00022554834,0.00014537564,0.00033690437,0.000018878894,0.0006002209,0.00011317672,0.0020861197],"category_scores_gemma":[0.00019667279,0.00018162894,0.000026415039,0.00054817955,0.0027579044,0.0005097909,0.0010244296,0.00015716164,0.00006490951],"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":[0.000008832648,0.000055904915,0.76982224,7.354349e-7,0.0000019039435,0.000026000385,0.00016164656,0.00009084525,0.19331816,0.000006947903,0.00005941079,0.036447365],"study_design_scores_gemma":[0.0008255196,0.00013088346,0.95103395,0.000028302467,0.000009329873,0.00002177782,0.004527687,0.00079449586,0.037675716,0.0014349073,0.0030131955,0.0005042515],"about_ca_topic_score_codex":0.24190712,"about_ca_topic_score_gemma":0.27589965,"teacher_disagreement_score":0.18121168,"about_ca_system_score_codex":0.0034022005,"about_ca_system_score_gemma":0.00015520322,"threshold_uncertainty_score":0.999956},"labels":[],"label_agreement":null},{"id":"W2505001007","doi":"10.1007/s10018-019-00254-6","title":"Survival of the cleanest? Evidence from a plant-level analysis of pollutant emissions in Canadian pulp and paper industry, 2005–2013","year":2019,"lang":"en","type":"article","venue":"Environmental Economics and Policy Studies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of Canada; University of Ottawa","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Pollutant; Greenhouse gas; Environmental science; Pulp (tooth); Natural resource economics; Production (economics); Emission intensity; Economics; Environmental engineering; Environmental economics; Agricultural economics; Engineering; Ecology; Microeconomics","score_opus":0.02551104968291834,"score_gpt":0.2586745769035592,"score_spread":0.23316352722064088,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2505001007","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962703,0.0006338979,8.963129e-8,0.0018453301,0.000035503723,0.00021004413,0.00074457895,0.0000012629883,0.00025897406],"genre_scores_gemma":[0.99395406,0.005463906,0.000021734244,0.00020709373,0.000011029242,0.0000049322816,0.000006437765,0.0000082107545,0.00032259498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989029,0.00006494351,0.00032681352,0.0002959241,0.000090851405,0.000318569],"domain_scores_gemma":[0.9992473,0.00014010486,0.00013278723,0.00029282295,6.155733e-7,0.0001863532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002569898,0.0001671976,0.00038925174,0.00009541919,0.00008924297,0.000008970113,0.00016277417,0.00010753672,0.0005507201],"category_scores_gemma":[0.00004102706,0.0001299678,0.000073219475,0.00013302272,0.0006323425,0.00018085529,0.00042492236,0.00014837834,0.0000066111793],"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":[0.000015235674,0.000032233183,0.99449146,0.0000056790323,0.00015378009,6.007543e-7,0.0019935374,0.0012585415,0.001407296,0.00004247832,0.00002477351,0.00057439023],"study_design_scores_gemma":[0.00018941831,0.000030895335,0.9935651,0.000017574552,0.00008525979,0.0000010193662,0.0038181194,0.0006954951,0.00020907717,0.0002056329,0.0010498441,0.00013259886],"about_ca_topic_score_codex":0.36457878,"about_ca_topic_score_gemma":0.40868115,"teacher_disagreement_score":0.044102367,"about_ca_system_score_codex":0.0005925091,"about_ca_system_score_gemma":0.000032110023,"threshold_uncertainty_score":0.63965255},"labels":[],"label_agreement":null},{"id":"W2514258415","doi":"10.5547/01956574.37.4.smos","title":"Changes in Energy Intensity in Canada","year":2016,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"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 Saskatchewan","funders":"","keywords":"Energy intensity; Panel data; Economics; Endogeneity; Index (typography); Efficient energy use; Investment (military); Pollution haven hypothesis; Energy (signal processing); Econometrics; Agricultural economics; Macroeconomics; Foreign direct investment; Engineering; Statistics","score_opus":0.005487253858765173,"score_gpt":0.1787478124409098,"score_spread":0.17326055858214462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514258415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99270546,0.000041987,0.000083860505,0.0050086067,0.00012002257,0.000015083591,8.574485e-7,0.0000024719625,0.0020216242],"genre_scores_gemma":[0.9976908,0.00020122706,0.000011753542,0.0009656861,0.000042589683,0.00000293949,1.8404405e-7,0.0000060505577,0.0010787849],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990881,0.00009465425,0.00015158586,0.000114158305,0.00022442824,0.0003270855],"domain_scores_gemma":[0.9996515,0.000032507472,0.00005209111,0.00016113298,0.0000023722116,0.000100420875],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00032414697,0.00009120178,0.000108095686,0.000025113539,0.00006761281,0.0000096502135,0.0002484353,0.000025636538,0.0012762045],"category_scores_gemma":[0.000025882617,0.000046607507,0.000021487864,0.00011516589,0.00011619055,0.000114570415,0.0001534231,0.000109557135,0.0000054088864],"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":[0.0000545339,0.00004134849,0.93370414,5.2919665e-7,0.0000041262124,0.00009825645,0.00026160188,0.001165334,0.004020846,0.00016762597,0.0016941285,0.05878754],"study_design_scores_gemma":[0.00039059346,0.00003431147,0.9716502,0.000015164778,0.000002015499,0.00011177059,0.00078728097,0.00015705558,0.005206782,0.003720307,0.01778906,0.00013547354],"about_ca_topic_score_codex":0.8489835,"about_ca_topic_score_gemma":0.9942335,"teacher_disagreement_score":0.14524998,"about_ca_system_score_codex":0.0026026885,"about_ca_system_score_gemma":0.000068066765,"threshold_uncertainty_score":0.99963677},"labels":[],"label_agreement":null},{"id":"W2514368667","doi":"10.1016/j.ecolind.2016.07.051","title":"Understanding the LCA and ISO water footprint: A response to Hoekstra (2016) “A critique on the water-scarcity weighted water footprint in LCA”","year":2016,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":218,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"U.S. Environmental Protection Agency","keywords":"Water use; Water scarcity; Life-cycle assessment; Footprint; Environmental science; Resource (disambiguation); Environmental economics; Environmental resource management; Natural resource economics; Water resources; Water resource management; Business; Computer science; Economics; Production (economics); Ecology","score_opus":0.027238980219091238,"score_gpt":0.2456006941186998,"score_spread":0.21836171389960857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2514368667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95309305,0.0000020016244,0.00019250084,0.044410773,0.00006332629,0.0008542169,0.0000048469424,0.000040546744,0.0013387246],"genre_scores_gemma":[0.9977817,0.000012812261,0.00003057722,0.0013789759,0.000021411357,0.00013601778,0.0000012594093,0.000017516673,0.00061976444],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686694,0.0008435786,0.0003574786,0.00060956937,0.00034693192,0.0009755137],"domain_scores_gemma":[0.998614,0.0005598171,0.000032754433,0.0005065612,0.0000031206923,0.0002837554],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027138458,0.0002897513,0.00024148989,0.00008903194,0.00048204674,0.00007786682,0.0005164766,0.0002143965,0.0040880432],"category_scores_gemma":[0.0001835885,0.000082019884,0.000091349095,0.0001228521,0.0010837746,0.000092058865,0.0010091434,0.00037525353,0.00055889384],"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":[0.0022947052,0.0012031624,0.710273,0.000019353769,0.000056253877,0.00019302937,0.015406842,0.000078498364,0.26279467,0.002448285,0.00048887474,0.004743316],"study_design_scores_gemma":[0.00046011803,0.0005897924,0.8488302,0.00001421306,0.000008220695,0.0000074760183,0.0011209307,0.000008206077,0.12629165,0.01680113,0.005585108,0.00028291065],"about_ca_topic_score_codex":0.00008800615,"about_ca_topic_score_gemma":0.00012874113,"teacher_disagreement_score":0.13855723,"about_ca_system_score_codex":0.0013890248,"about_ca_system_score_gemma":0.000008438115,"threshold_uncertainty_score":0.99682236},"labels":[],"label_agreement":null},{"id":"W2517693584","doi":"10.3390/su8080807","title":"Simulation and Assessment of Whole Life-Cycle Carbon Emission Flows from Different Residential Structures","year":2016,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Carbon fibers; Greenhouse gas; Carbon cycle; Environmental science; Demolition; Life-cycle assessment; Land reclamation; Environmental engineering; Engineering; Production (economics); Materials science; Civil engineering; Ecology; Economics; Composite material; Ecosystem","score_opus":0.006926832568515347,"score_gpt":0.28145104393279413,"score_spread":0.2745242113642788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2517693584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744165,0.000033609067,0.0008477166,0.00071991084,0.00006195001,0.0005112347,0.00002611793,0.000030232177,0.00032757584],"genre_scores_gemma":[0.9995004,0.000005158594,0.0002239769,0.000019453348,0.00003473935,0.000013256333,0.0000072857265,0.000013419062,0.00018229226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981183,0.0002445413,0.0003761434,0.000502202,0.00043338054,0.0003254302],"domain_scores_gemma":[0.99877405,0.00029183825,0.00013299314,0.0005330861,0.000030565294,0.00023746544],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031295096,0.00020875572,0.00026920784,0.000029098077,0.00011402013,0.000021673844,0.00015959375,0.000119870005,0.0009350744],"category_scores_gemma":[0.0008095731,0.00013654541,0.00007490427,0.00007801781,0.00043370816,0.00026003845,0.00043889784,0.000116499104,0.0000011323332],"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":[0.00008139635,0.00013946583,0.9729502,0.000045802622,0.0000100859415,0.0000021995406,0.000296297,0.0043169404,0.010061172,0.000033174794,0.000014695425,0.012048529],"study_design_scores_gemma":[0.0005723923,0.00010575835,0.933157,0.000007857663,0.000019521613,1.5946785e-7,0.00044775766,0.015730567,0.0016388807,0.047986403,0.00016789428,0.000165795],"about_ca_topic_score_codex":0.0021764424,"about_ca_topic_score_gemma":0.00015980739,"teacher_disagreement_score":0.04795323,"about_ca_system_score_codex":0.0014751599,"about_ca_system_score_gemma":0.00005977358,"threshold_uncertainty_score":0.9999782},"labels":[],"label_agreement":null},{"id":"W2518517380","doi":"10.1016/j.apenergy.2016.08.024","title":"Steam-treated wood pellets: Environmental and financial implications relative to fossil fuels and conventional pellets for electricity generation","year":2016,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Pellets; Waste management; Electricity generation; Life-cycle assessment; Coal; Environmental science; Greenhouse gas; Fossil fuel; Electricity; Cost of electricity by source; Environmental engineering; Pellet; Criteria air contaminants; Engineering; Production (economics); Air pollution; Air pollutants; Materials science; Chemistry","score_opus":0.008251306069832027,"score_gpt":0.21035763613700864,"score_spread":0.20210633006717663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2518517380","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97660744,0.000067221044,0.019957226,0.0005972101,0.000019353498,0.0004544102,0.000079368685,0.000023172382,0.0021945813],"genre_scores_gemma":[0.9966451,0.000087007815,0.0008369171,0.00028122473,0.00005251595,0.00025147214,0.000038598253,0.000016535165,0.0017906486],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99883,0.000030714647,0.00020577072,0.00048242195,0.00014493924,0.0003061227],"domain_scores_gemma":[0.9994741,0.00008604225,0.000064902575,0.0001815705,0.000003082701,0.00019029653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106184794,0.00018423976,0.00015009,0.00003477336,0.0002859389,0.000019892752,0.00008325311,0.000100307036,0.0004047828],"category_scores_gemma":[0.000024108736,0.00014911412,0.00003993196,0.00007700731,0.0002388861,0.00017502568,0.00014008068,0.00004487448,0.00003865271],"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":[0.00014924777,0.000307596,0.015889207,0.0000061702044,0.00002578777,9.57831e-7,0.00030230964,0.00005150741,0.84979856,0.019794635,0.0025465973,0.111127414],"study_design_scores_gemma":[0.004381187,0.0011028802,0.68005365,0.0000100447605,0.00010507794,0.000022523702,0.00022070328,0.00027337484,0.16964008,0.050547615,0.09250167,0.0011412133],"about_ca_topic_score_codex":0.000057397963,"about_ca_topic_score_gemma":0.000056083973,"teacher_disagreement_score":0.6801585,"about_ca_system_score_codex":0.00035904575,"about_ca_system_score_gemma":0.0000096372605,"threshold_uncertainty_score":0.6080697},"labels":[],"label_agreement":null},{"id":"W2519647787","doi":"","title":"US/Japan workshop on global change land disposal of CO{sub 2}","year":2018,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Global change; Environmental planning; Business; Climate change; Environmental science; Geology; Oceanography","score_opus":0.013027341795546796,"score_gpt":0.2469980504356126,"score_spread":0.2339707086400658,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519647787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94967234,0.0000178632,0.00023037134,0.000103011465,0.000110794084,0.00020421956,0.00014812937,0.000021886346,0.049491372],"genre_scores_gemma":[0.99902356,0.000022983086,0.00041099047,0.0001245653,0.000017742252,0.000015839994,0.0003030528,0.0000041208173,0.000077169345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984547,0.000028847468,0.00049070304,0.00020871348,0.00056383293,0.00025323883],"domain_scores_gemma":[0.99913913,0.000056665973,0.000277939,0.0003463377,0.000034921777,0.00014502497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040763197,0.00015613782,0.0002298652,0.00006316172,0.00014633623,0.00003157776,0.00024115446,0.00010332475,0.00035914042],"category_scores_gemma":[0.00008200255,0.00012967543,0.00007603083,0.00037811484,0.0019882414,0.00074090366,0.00023304448,0.000060180155,0.000044621167],"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":[0.0006238002,0.0013121578,0.9575025,0.00011553403,0.000044129338,0.0000013538071,0.0000638024,0.00012203232,0.00351424,0.011022596,0.0048958296,0.02078202],"study_design_scores_gemma":[0.00038556952,0.00045265607,0.97870404,0.000036591093,0.000020290428,0.0000045100737,0.00001889006,0.00003250588,0.008964112,0.00027966715,0.01095338,0.00014781069],"about_ca_topic_score_codex":0.00013916209,"about_ca_topic_score_gemma":0.0001293279,"teacher_disagreement_score":0.049414206,"about_ca_system_score_codex":0.00012399422,"about_ca_system_score_gemma":0.000017763125,"threshold_uncertainty_score":0.73257583},"labels":[],"label_agreement":null},{"id":"W2519718280","doi":"10.1111/gcb.13502","title":"Litter decay controlled by temperature, not soil properties, affecting future soil carbon","year":2016,"lang":"en","type":"article","venue":"Global Change Biology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":141,"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 Alberta; BC Research (Canada); Agriculture and Agri-Food Canada","funders":"","keywords":"Environmental science; Soil carbon; Litter; Carbon fibers; Carbon cycle; Soil science; Plant litter; Environmental chemistry; Soil water; Ecosystem; Agronomy; Ecology; Chemistry; Materials science; Biology","score_opus":0.01351591337910601,"score_gpt":0.23114795521983156,"score_spread":0.21763204184072554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2519718280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901388,0.0007500198,0.0000051496436,0.0033015087,0.00047353073,0.0006315838,0.000082219965,0.00007165875,0.004545484],"genre_scores_gemma":[0.996537,0.0001581503,0.000014536372,0.0018347043,0.00047702488,0.0001201828,0.000014228226,0.00001397125,0.0008301619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981428,0.00025521882,0.00023277593,0.0005258755,0.00016191938,0.0006814138],"domain_scores_gemma":[0.99935496,0.000036950343,0.000092146736,0.000324821,0.000007158594,0.00018398817],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031405583,0.0002927143,0.00036633725,0.000013376769,0.0001318109,0.000021356484,0.00024076068,0.00032107957,0.00047558307],"category_scores_gemma":[0.000060522314,0.00016230358,0.00011759254,0.00012049118,0.00038064262,0.0001564483,0.00028224467,0.0001235523,0.0001353791],"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":[0.0006785955,0.00017167047,0.7782852,0.000016468763,0.000042808002,0.000011386996,0.00031718926,4.107516e-7,0.18649045,0.0000410773,0.0020145315,0.031930197],"study_design_scores_gemma":[0.02190321,0.0026705232,0.7698956,0.00011330078,0.00017789588,0.000138657,0.0016008175,0.00010496632,0.08361627,0.0011246478,0.11579158,0.002862497],"about_ca_topic_score_codex":0.0017842036,"about_ca_topic_score_gemma":0.00041618195,"teacher_disagreement_score":0.11377705,"about_ca_system_score_codex":0.0008434134,"about_ca_system_score_gemma":0.0000111712125,"threshold_uncertainty_score":0.6618548},"labels":[],"label_agreement":null},{"id":"W2524321334","doi":"10.3934/energy.2016.5.697","title":"A life cycle inventory analysis of wood pellets for greenhouse heating: a case study at Macdonald campus of McGill University&lt;sup&gt;1&lt;/sup&gt;","year":2016,"lang":"en","type":"article","venue":"AIMS energy","topic":"Environmental Impact and Sustainability","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":"McGill University","funders":"","keywords":"Pellets; Greenhouse gas; Environmental science; Greenhouse; Fossil fuel; Waste management; Life-cycle assessment; Green wood; Biomass (ecology); Bioenergy; Wood fuel; Environmental engineering; Biofuel; Production (economics); Engineering; Water content; Materials science; Horticulture; Agronomy; Ecology; Wood drying","score_opus":0.009793992950752518,"score_gpt":0.21618809103611422,"score_spread":0.20639409808536172,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2524321334","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981922,0.0000391894,0.00022233237,0.00013612723,0.000022710947,0.00030105055,0.00023014088,0.000027057793,0.0008292065],"genre_scores_gemma":[0.995311,0.00002859747,0.00016143822,0.0001275642,0.000013344644,0.000011838595,0.000010857048,0.000026286714,0.004309035],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979599,0.00020584429,0.00042527044,0.0005420759,0.00043623854,0.0004306632],"domain_scores_gemma":[0.9984833,0.00021260275,0.00025763555,0.000644834,0.000021770722,0.00037982946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003572573,0.00025355356,0.00050332036,0.0001831525,0.00022171934,0.0000040834852,0.0003217867,0.00010893209,0.0010045301],"category_scores_gemma":[0.00012363633,0.00021045585,0.0003427337,0.00059084373,0.00036174955,0.0002348135,0.0005403778,0.000050590723,0.000010212131],"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":[0.00097303395,0.00487295,0.8874383,0.00009492248,0.00247508,0.0009929843,0.006093514,0.046676133,0.031863134,0.0005274218,0.0028519114,0.015140593],"study_design_scores_gemma":[0.035004884,0.01357745,0.602926,0.000195443,0.01336737,0.00049333775,0.05428746,0.09967345,0.039648905,0.00232813,0.13228303,0.0062144934],"about_ca_topic_score_codex":0.010221391,"about_ca_topic_score_gemma":0.0124935955,"teacher_disagreement_score":0.28451228,"about_ca_system_score_codex":0.0009814403,"about_ca_system_score_gemma":0.000026804166,"threshold_uncertainty_score":0.9999087},"labels":[],"label_agreement":null},{"id":"W2528762103","doi":"10.1021/acs.est.6b02311","title":"Land Use in LCA: Including Regionally Altered Precipitation to Quantify Ecosystem Damage","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Belmont Forum","keywords":"Environmental science; Evapotranspiration; Precipitation; Ecosystem; Water cycle; Climate change; Terrestrial ecosystem; Arid; Primary production; Land use; Water use; Land use, land-use change and forestry; Life-cycle assessment; Hydrology (agriculture); Atmospheric sciences; Ecology; Production (economics); Geography; Meteorology","score_opus":0.019945103001369126,"score_gpt":0.264043127700432,"score_spread":0.24409802469906286,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2528762103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958431,0.000009683803,0.0006145462,0.0020413864,0.00012723451,0.0006460048,0.00002356704,0.00009215406,0.0006023062],"genre_scores_gemma":[0.9974877,0.000022636443,0.0016408127,0.00018557366,0.000017433604,0.000076991986,0.0000032079513,0.0000208901,0.0005447147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970177,0.00007495802,0.00041469504,0.0009713734,0.00065630913,0.000864994],"domain_scores_gemma":[0.9988454,0.000087130495,0.00012256797,0.0006845585,0.0000026405687,0.00025767542],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008657298,0.00026496558,0.0002422369,0.00047784526,0.00031880228,0.000053760254,0.0008472473,0.0001643887,0.00075324246],"category_scores_gemma":[0.00026899372,0.00020385438,0.0000494686,0.0011703492,0.001599957,0.0014397015,0.0013539125,0.00017821795,0.0010653635],"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":[0.000022464325,0.00011825006,0.7210576,0.0000018109068,0.0000016555931,0.000012900838,0.0002048991,0.00023937377,0.2727177,0.00015323039,0.000045486013,0.0054246313],"study_design_scores_gemma":[0.00051603635,0.00022659829,0.9669929,0.00003264116,0.000004055857,0.000021116062,0.00044879987,0.00015168234,0.025805445,0.0011260998,0.004346571,0.00032804717],"about_ca_topic_score_codex":0.00015367634,"about_ca_topic_score_gemma":0.00080557883,"teacher_disagreement_score":0.24691227,"about_ca_system_score_codex":0.003088343,"about_ca_system_score_gemma":0.000020217032,"threshold_uncertainty_score":0.9997124},"labels":[],"label_agreement":null},{"id":"W2530872329","doi":"10.5539/jas.v8n11p59","title":"The Influence Factors Decomposition of Grain Output Increase in China: 2003-2014","year":2016,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"China; Inner mongolia; Agricultural economics; Exponential smoothing; Research Object; Geography; Population; Environmental science; Business; Economics; Demography; Econometrics; Regional science","score_opus":0.0035578134530036124,"score_gpt":0.2257828055915264,"score_spread":0.2222249921385228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2530872329","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99871904,0.000028279957,0.000023667633,0.00066975167,0.00009617236,0.00011319893,0.000002133844,0.0000028865018,0.00034484532],"genre_scores_gemma":[0.9995482,0.00006212654,0.00018122708,0.000020300784,0.000014513698,9.60742e-7,1.4583016e-7,0.0000018589544,0.00017064628],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983722,0.00008910559,0.00041149894,0.0001450896,0.00067192357,0.00031020318],"domain_scores_gemma":[0.9991892,0.00008710876,0.00035528475,0.00013716515,0.000050531205,0.00018071184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012855773,0.00010986778,0.00014402976,0.000040343966,0.0002085471,0.000038765702,0.00060207176,0.000031669864,0.000066360844],"category_scores_gemma":[0.0006290844,0.00003986167,0.000062174884,0.0006656623,0.0011606069,0.0013687428,0.00017327443,0.00011696401,0.000012607191],"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":[0.0000223526,0.00007108092,0.6526037,0.00000173694,0.0000019894653,0.0000030726242,0.00042624658,0.00043628077,0.34333324,0.000039304723,0.0003619289,0.0026990923],"study_design_scores_gemma":[0.00019716074,0.00014700548,0.98811364,0.000025530202,0.0000039252495,0.000033613742,0.00045770378,0.0000047503686,0.010504681,0.00027073856,0.0001632302,0.00007804827],"about_ca_topic_score_codex":0.00044603017,"about_ca_topic_score_gemma":0.0001152731,"teacher_disagreement_score":0.33550996,"about_ca_system_score_codex":0.0006711367,"about_ca_system_score_gemma":0.000037663634,"threshold_uncertainty_score":0.42763042},"labels":[],"label_agreement":null},{"id":"W253363787","doi":"","title":"China Green Input-Output Accounting: Coal, Efficiency of Power Generation and Green House Gas Emissions (1992-2020)/COMPTABILITE DES ENTREES ET SORTIES VERTE DE LA CHINE : CHARBON, EFFICACITE DE LA GENERATION D'ENERGIE ET EMISSION DES GAZ A EFFET DE SERRE (1992-2020)","year":2006,"lang":"fr","type":"article","venue":"Canadian social science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Coal; Greenhouse gas; Electricity generation; Natural gas; China; Environmental science; Environmental economics; Power (physics); Economics; Political science; Physics; Engineering; Waste management","score_opus":0.007693118272953905,"score_gpt":0.24922174117649146,"score_spread":0.24152862290353755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W253363787","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99267447,0.0010324371,0.0009972729,0.0018618649,0.00010117241,0.0004333168,0.00012913145,0.000055668457,0.0027146912],"genre_scores_gemma":[0.99736303,0.0004404051,0.0009924001,0.00034558785,0.0002491351,0.000020288457,0.00003158677,0.00004900441,0.0005085586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99562687,0.001036959,0.0005336526,0.00078708853,0.00067210384,0.0013433588],"domain_scores_gemma":[0.99821186,0.00015764595,0.00025027737,0.00033736057,0.00003535901,0.0010075251],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0034915395,0.00045161007,0.0003755801,0.00016143944,0.0018663397,0.00044198922,0.00055129797,0.00038785939,0.00016202549],"category_scores_gemma":[0.0004818225,0.00045965635,0.00014078683,0.00092490646,0.0066326684,0.0011224126,0.0002827207,0.00045277044,0.0000050761782],"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":[0.000023149745,0.00026808528,0.69869065,0.00009401717,0.0000136937115,0.00004004535,0.028378366,0.004007707,0.2530237,0.0006694294,0.0006264223,0.014164729],"study_design_scores_gemma":[0.00054680905,0.00014117893,0.9624653,0.00008205321,0.0000656385,0.000056770346,0.00122262,0.022585837,0.0077451114,0.0021137898,0.0024528082,0.000522108],"about_ca_topic_score_codex":0.2770643,"about_ca_topic_score_gemma":0.056084167,"teacher_disagreement_score":0.26377463,"about_ca_system_score_codex":0.003698697,"about_ca_system_score_gemma":0.001320226,"threshold_uncertainty_score":0.99978554},"labels":[],"label_agreement":null},{"id":"W2538791594","doi":"10.1080/17597269.2016.1242691","title":"Impact of uncertainty in indirect land-use changes and life-cycle carbon intensity for biofuels under climate legislation: a case study of British Columbia","year":2016,"lang":"en","type":"article","venue":"Biofuels","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Agriculture and Agri-Food Canada","keywords":"Greenhouse gas; Climate change; Life-cycle assessment; Environmental science; Land use, land-use change and forestry; Biofuel; Legislation; Natural resource economics; Carbon footprint; Environmental protection; Business; Land use; Engineering; Economics; Waste management; Production (economics); Political science","score_opus":0.02193252107939119,"score_gpt":0.26683570235485915,"score_spread":0.24490318127546795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2538791594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986978,0.000039576524,0.0000034301002,0.000033890603,0.000030564916,0.00091081887,0.00023453822,0.0000134208,0.000035930127],"genre_scores_gemma":[0.9997709,0.000051536474,0.000032587024,0.000020840376,0.000011877154,0.000030325891,0.000003137911,0.000012859262,0.00006597088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988227,0.00011307294,0.00028757477,0.00031495065,0.0001560543,0.000305658],"domain_scores_gemma":[0.9992901,0.00017376096,0.00015203515,0.00024347198,0.000016686143,0.00012394585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046868634,0.00011897701,0.0003349902,0.000036378144,0.000053146974,0.000031492382,0.000082663304,0.00008804761,0.000113769005],"category_scores_gemma":[0.00013814234,0.00011584689,0.000059988695,0.00016568019,0.00029407878,0.00020892854,0.00017784278,0.000051105235,6.5304823e-7],"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":[0.00015143807,0.0004868786,0.9864315,0.000028572957,0.000025082256,0.00004465427,0.00087920506,0.000064665335,0.002164905,1.0549699e-7,0.000012982914,0.009710043],"study_design_scores_gemma":[0.0016188179,0.000938768,0.9950124,0.000028556748,0.000023841842,0.000054790213,0.0016613895,0.00014198857,0.000087893415,0.00027310906,0.000007260852,0.00015118383],"about_ca_topic_score_codex":0.22541755,"about_ca_topic_score_gemma":0.27883166,"teacher_disagreement_score":0.053414118,"about_ca_system_score_codex":0.00027141735,"about_ca_system_score_gemma":0.00001626254,"threshold_uncertainty_score":0.77974045},"labels":[],"label_agreement":null},{"id":"W2541889581","doi":"10.1021/acs.est.6b04434","title":"Occupational Health Impacts Due to Exposure to Organic Chemicals over an Entire Product Life Cycle","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Liberian dollar; Supply chain; Product (mathematics); Production (economics); Life-cycle assessment; Commodity; Business; Economic impact analysis; Product lifecycle; Human health; Environmental economics; Economics; Environmental health; New product development; Marketing; Medicine","score_opus":0.005578913927000528,"score_gpt":0.2600816157459702,"score_spread":0.25450270181896967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2541889581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9896262,0.000039961542,0.00071434,0.008032013,0.00011811658,0.0009741031,0.000047739362,0.00017162414,0.00027585818],"genre_scores_gemma":[0.99523014,0.0000147637265,0.0017065463,0.0025227617,0.00005256761,0.00008149938,0.0000067272013,0.000034104207,0.00035088832],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99556273,0.00006610802,0.000467139,0.00141886,0.0010098974,0.0014752818],"domain_scores_gemma":[0.99723667,0.000024850267,0.00014015968,0.0011849512,0.000004228312,0.0014091369],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009656064,0.00036555555,0.00034205415,0.00030276168,0.0006134553,0.000051308358,0.0012550548,0.00013757397,0.0078912685],"category_scores_gemma":[0.00039526058,0.0002795251,0.00006194671,0.0014532004,0.0020833584,0.0010365469,0.0016900635,0.00019170299,0.002262461],"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":[0.000034701014,0.00035590606,0.28684714,0.0000025355464,0.0000034583638,0.000006811798,0.0004021214,0.00009968644,0.68595266,0.000041009473,0.00037659358,0.025877392],"study_design_scores_gemma":[0.00037109954,0.0009297021,0.86785567,0.000013249097,0.0000043400755,0.000039075025,0.00041790423,0.000013081847,0.12555532,0.0005491586,0.003822826,0.00042856968],"about_ca_topic_score_codex":0.00012909462,"about_ca_topic_score_gemma":0.00008038464,"teacher_disagreement_score":0.58100855,"about_ca_system_score_codex":0.003452326,"about_ca_system_score_gemma":0.00012121886,"threshold_uncertainty_score":0.99996567},"labels":[],"label_agreement":null},{"id":"W2549315876","doi":"","title":"Simple but accurate GCM-free approach for quantifying anthropogenic climate change","year":2014,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"GCM transcription factors; Simple (philosophy); Climate change; Environmental science; Climatology; Meteorology; General Circulation Model; Geography; Geology","score_opus":0.05318141123845814,"score_gpt":0.29769110544429805,"score_spread":0.2445096942058399,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2549315876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809715,0.000050410654,0.0004987668,0.00014398388,0.00011297379,0.000777182,0.00003113408,0.00012880436,0.01728524],"genre_scores_gemma":[0.9943646,0.00004219525,0.0047693225,0.00034972283,0.00017316146,0.00011803964,0.000057462134,0.000051341667,0.000074127034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745804,0.00010099248,0.00046100447,0.00063296314,0.00036234828,0.0009846548],"domain_scores_gemma":[0.9985303,0.0002482816,0.00025686302,0.0006979812,0.000010158117,0.00025636223],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001486628,0.00031233366,0.00029896744,0.00003440892,0.00052016415,0.00009608669,0.00052587915,0.00015107235,0.000032805878],"category_scores_gemma":[0.0006976019,0.0002912738,0.00015691534,0.00012958873,0.00028548285,0.00050164893,0.00046796928,0.00020284051,0.00014774106],"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":[0.0001235785,0.0005635494,0.9545121,0.00033986775,0.000030391624,0.0000072492,0.0012664377,0.01578092,0.011490906,0.00012889504,0.0010841298,0.014671974],"study_design_scores_gemma":[0.001252894,0.00028078048,0.963653,0.000036408946,0.00006586212,0.000013762742,0.0014890742,0.020594755,0.005416757,0.0011183515,0.005275102,0.00080325146],"about_ca_topic_score_codex":0.00698307,"about_ca_topic_score_gemma":0.0014472044,"teacher_disagreement_score":0.017211115,"about_ca_system_score_codex":0.0002327442,"about_ca_system_score_gemma":0.0000060738935,"threshold_uncertainty_score":0.9999539},"labels":[],"label_agreement":null},{"id":"W2550768135","doi":"10.1021/acs.est.6b02889","title":"Life Cycle Analysis of Bitumen Transportation to Refineries by Rail and Pipeline","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"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 Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Oil refinery; Asphalt; Pipeline (software); Environmental science; Pipeline transport; Life-cycle assessment; Engineering; Waste management; Petroleum engineering; Transport engineering; Environmental engineering; Production (economics); Geography; Economics","score_opus":0.0027251091921244503,"score_gpt":0.21015357437770454,"score_spread":0.20742846518558009,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2550768135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99492186,0.000050441635,0.0014679406,0.002745711,0.000021140233,0.00021687693,0.00010270472,0.000046554313,0.00042677284],"genre_scores_gemma":[0.99838614,0.00007695287,0.0007047107,0.00025449297,0.000003313897,0.000024959592,0.00000824018,0.000009730981,0.00053146255],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99810606,0.000021055008,0.00033755685,0.0006247899,0.00045981075,0.000450747],"domain_scores_gemma":[0.9990907,0.000027558508,0.00011136848,0.00042899448,0.0000021338365,0.00033925718],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037545926,0.00018221694,0.0002808851,0.0003810157,0.00018168266,0.0000114809745,0.0004170824,0.00010014937,0.0018912561],"category_scores_gemma":[0.00011719285,0.000134242,0.00005722841,0.0018091648,0.004013783,0.00044810522,0.00025005627,0.00007053771,0.000075313255],"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":[0.000016902453,0.0001041758,0.44056582,0.0000012773858,0.00001481406,0.000001205102,0.00024839776,0.00017812144,0.5396965,0.000065339234,0.00017770973,0.018929694],"study_design_scores_gemma":[0.0003765652,0.00028040636,0.8626284,0.000004894519,0.00011501246,0.0000017872474,0.0010629933,0.0001898779,0.12727392,0.00046836416,0.007301495,0.00029631224],"about_ca_topic_score_codex":0.0001413727,"about_ca_topic_score_gemma":0.00008297624,"teacher_disagreement_score":0.42206255,"about_ca_system_score_codex":0.00042156503,"about_ca_system_score_gemma":0.000012276953,"threshold_uncertainty_score":0.9990212},"labels":[],"label_agreement":null},{"id":"W2558820212","doi":"","title":"Decadal climatic variability and regional weather simulation: stochastic nature of forest fuel moisture and climatic forcing","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Forcing (mathematics); Environmental science; Climatology; Meteorology; Atmospheric sciences; Geography; Geology","score_opus":0.006587332988325464,"score_gpt":0.23858502735745463,"score_spread":0.23199769436912915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2558820212","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99215716,0.00010956347,0.004693516,0.00015290864,0.000035284615,0.00032678962,0.0000027287513,0.000021060017,0.0025009736],"genre_scores_gemma":[0.9966129,0.000007560593,0.0031070025,0.00015155769,0.000039330644,0.000008955457,0.0000049659184,0.000017065411,0.000050668485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985243,0.00017218573,0.00033943672,0.00036382236,0.00030376244,0.00029647452],"domain_scores_gemma":[0.9986617,0.0007279413,0.00017799872,0.00028717428,0.000010456182,0.00013472121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012410609,0.00019427564,0.00026312625,0.000024473238,0.00016199236,0.00003011761,0.00012080575,0.0001728558,0.00004562942],"category_scores_gemma":[0.0006479452,0.0001642316,0.000050682527,0.000072672796,0.00036636353,0.0002264269,0.0002346243,0.0002459556,0.000008021257],"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":[0.000026089461,0.00005414031,0.95994455,0.00023392541,0.000008330469,4.900252e-7,0.0009141788,0.037132863,0.00025054102,0.00028945587,0.000027425856,0.001118017],"study_design_scores_gemma":[0.0004020406,0.00008715592,0.83000404,0.00006654465,0.000038555394,0.000006962994,0.00037103044,0.15928337,0.000008430272,0.0094389105,0.000101249556,0.00019169526],"about_ca_topic_score_codex":0.0003622402,"about_ca_topic_score_gemma":0.0004998846,"teacher_disagreement_score":0.1299405,"about_ca_system_score_codex":0.000117120275,"about_ca_system_score_gemma":0.0000057466395,"threshold_uncertainty_score":0.669717},"labels":[],"label_agreement":null},{"id":"W2559405877","doi":"10.5539/jsd.v9n6p15","title":"Calculation of Monetary Values of Environmental Impacts from Emissions and Resource Use The Case of Using the EPS 2015d Impact Assessment Method","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"VINNOVA; U.S. Department of Agriculture","keywords":"Valuation (finance); Equity (law); Natural resource; Environmental economics; Economics; Natural resource economics; Econometrics; Ecology; Political science; Biology; Accounting","score_opus":0.01623546473013864,"score_gpt":0.3005132447966459,"score_spread":0.2842777800665072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559405877","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9955194,0.00033623894,0.003450751,0.0002468712,0.000019749823,0.00036274455,0.000024035471,0.0000019955621,0.00003818668],"genre_scores_gemma":[0.98741734,0.00010492323,0.012220161,0.000020585157,0.000014713981,0.0000020981208,0.000002002108,0.000014794409,0.0002033674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975527,0.0004424461,0.0009124848,0.00018509418,0.0005602228,0.0003470456],"domain_scores_gemma":[0.99781036,0.0006140249,0.0009991373,0.00034897367,0.00003521187,0.00019227572],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022026242,0.00021403252,0.00038686735,0.00008462714,0.00023906927,0.000021551597,0.0002500708,0.00008052324,0.00035399816],"category_scores_gemma":[0.00020706673,0.00010029367,0.00015328174,0.00016724254,0.00051939586,0.0006139529,0.0004207122,0.00017512945,4.7961527e-7],"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":[0.00037113827,0.0005662271,0.80460364,0.0000704511,0.00036229377,0.00043448427,0.014451783,0.009552076,0.14961521,0.000023702874,0.0004500011,0.01949897],"study_design_scores_gemma":[0.00068622676,0.00019432361,0.9535639,0.000076188655,0.0001265655,0.00032657903,0.02574575,0.00069718476,0.01732313,0.0006386664,0.00047264085,0.0001487864],"about_ca_topic_score_codex":0.0016387173,"about_ca_topic_score_gemma":0.000012446094,"teacher_disagreement_score":0.1489603,"about_ca_system_score_codex":0.0013527289,"about_ca_system_score_gemma":0.00017222953,"threshold_uncertainty_score":0.4089857},"labels":[],"label_agreement":null},{"id":"W2559771009","doi":"10.1021/acs.est.6b02510","title":"Income-Based Greenhouse Gas Emissions of Nations","year":2016,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":155,"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":"Economic and Social Research Council; Natural Environment Research Council; Sight Research UK","keywords":"Greenhouse gas; Natural resource economics; Business; Intermediation; Consumption (sociology); Economics; Finance","score_opus":0.004544976082162868,"score_gpt":0.22518664267063854,"score_spread":0.22064166658847567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2559771009","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99261534,0.000022587008,0.001310662,0.0013975918,0.00005990554,0.0003102747,0.000027518112,0.0001142672,0.0041418807],"genre_scores_gemma":[0.997203,0.000035947807,0.0019092334,0.0000567471,0.000007078136,0.000037505597,0.0000015585233,0.000017420401,0.0007315095],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99764705,0.000037018428,0.00035843995,0.0006158233,0.0006973811,0.00064427865],"domain_scores_gemma":[0.99870783,0.000077647914,0.00016075431,0.000809846,0.0000029381374,0.00024096445],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004485127,0.00021815184,0.00020645744,0.0004673752,0.00046978652,0.000010674026,0.0009760346,0.00015013696,0.005212848],"category_scores_gemma":[0.0002204193,0.00015349619,0.0000827697,0.0015251925,0.008822452,0.0005092261,0.0008395614,0.00013754674,0.00047445184],"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":[0.000008408324,0.0002709233,0.4999731,0.0000019958036,0.0000020994353,0.0000039157226,0.000043369688,0.00007983863,0.48087016,0.0003159124,0.000023496179,0.018406807],"study_design_scores_gemma":[0.00080802536,0.00045765203,0.4839526,0.000027927754,0.000014974542,0.000018397242,0.0003683632,0.00013390233,0.5033042,0.0037675204,0.0067607095,0.00038573946],"about_ca_topic_score_codex":0.000046039586,"about_ca_topic_score_gemma":0.00003183707,"teacher_disagreement_score":0.022434037,"about_ca_system_score_codex":0.0013397475,"about_ca_system_score_gemma":0.000042084015,"threshold_uncertainty_score":0.99569654},"labels":[],"label_agreement":null},{"id":"W2560038117","doi":"10.1016/j.jclepro.2016.12.004","title":"Uncertainty analysis focusing on the variance of energy intensity of vehicle materials","year":2016,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Temporality; Truck; Variance (accounting); Greenhouse gas; Environmental science; Monte Carlo method; Econometrics; Computer science; Spatial variability; Statistics; Simulation; Engineering; Mathematics; Automotive engineering; Accounting","score_opus":0.010084231272105244,"score_gpt":0.21957388817884094,"score_spread":0.20948965690673568,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560038117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966764,0.000008006715,0.0006213994,0.0023054872,0.000148693,0.000046710797,0.0000026005864,0.000002020645,0.00018866967],"genre_scores_gemma":[0.9994623,0.000029710869,0.00009706748,0.00004959487,0.00009566147,4.89237e-7,2.6529787e-7,0.00000437787,0.0002605403],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988957,0.00015055323,0.0004053719,0.00011995987,0.00031938226,0.00010902856],"domain_scores_gemma":[0.9990549,0.000053362655,0.00055965147,0.0002538124,0.00004278085,0.000035459387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010746648,0.000074590316,0.00023358804,0.000052826526,0.000047068716,0.0000057418715,0.00013598814,0.000032619013,0.0005717078],"category_scores_gemma":[0.00027607637,0.00003709814,0.00011322963,0.00021351966,0.0002773505,0.00022197123,0.000053858017,0.00005192048,0.0000026081905],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045489246,0.00018318661,0.052126747,0.000008655255,0.00012218613,0.0000017415325,0.00025573318,0.010811675,0.92683685,0.000068698624,0.00045134782,0.008678285],"study_design_scores_gemma":[0.00012670836,0.00018112636,0.3247505,0.00002054233,0.00010760879,0.000008666876,0.00019880975,0.000021683647,0.67283183,0.0010792883,0.00062260404,0.000050589468],"about_ca_topic_score_codex":0.00023225328,"about_ca_topic_score_gemma":0.000020590018,"teacher_disagreement_score":0.27262378,"about_ca_system_score_codex":0.00020856365,"about_ca_system_score_gemma":0.0000081784365,"threshold_uncertainty_score":0.6259799},"labels":[],"label_agreement":null},{"id":"W2560072776","doi":"10.1109/epec.2016.7771713","title":"Evaluating factors responsible for energy consumption: Connection weight approach","year":2016,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Energy intensity; Energy conservation; Consumption (sociology); Environmental economics; Energy (signal processing); Energy accounting; Efficient energy use; Connection (principal bundle); Intensity (physics); Globe; Computer science; Business; Engineering; Economics; Mechanical engineering; Mathematics","score_opus":0.060685186387679994,"score_gpt":0.32007806784492304,"score_spread":0.25939288145724304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2560072776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9389747,0.000010966801,0.04957295,0.00022199973,0.00006320263,0.0002513782,0.0000067094998,0.00005907361,0.010839053],"genre_scores_gemma":[0.98201436,0.000010737252,0.0054851547,0.00010298356,0.000027537004,0.00006296801,0.0000075895136,0.0000120316845,0.012276653],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99892807,0.00009242229,0.00016991272,0.0003193934,0.00021485476,0.00027532192],"domain_scores_gemma":[0.99937123,0.00023688146,0.000051166495,0.00022975534,0.000005153389,0.000105815045],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046242576,0.00012395706,0.00010692482,0.000022791724,0.0001854818,0.000015124125,0.00010175223,0.000068192276,0.0065005207],"category_scores_gemma":[0.00015205046,0.0000741524,0.00006773634,0.00006579105,0.00019607435,0.00031105583,0.00008659746,0.000027021018,0.000083722734],"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":[0.0003029815,0.0002981543,0.75248945,0.00002243162,0.000024781686,6.035672e-7,0.00031225025,0.0005004465,0.18732409,0.006693768,0.0035718216,0.048459228],"study_design_scores_gemma":[0.002796841,0.00082855264,0.659365,0.000013923742,0.000050013245,0.000012557002,0.0007310261,0.006172803,0.28586712,0.013787034,0.029603804,0.0007713499],"about_ca_topic_score_codex":0.00011290083,"about_ca_topic_score_gemma":0.000028510856,"teacher_disagreement_score":0.09854303,"about_ca_system_score_codex":0.00045597303,"about_ca_system_score_gemma":0.000010718736,"threshold_uncertainty_score":0.99440765},"labels":[],"label_agreement":null},{"id":"W2561420761","doi":"10.1007/s10669-016-9621-6","title":"Understanding the total life cycle cost implications of reusing structural steel","year":2016,"lang":"en","type":"article","venue":"Environment Systems & Decisions","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Environmental Protection Agency","keywords":"Reuse; Scrap; Deconstruction (building); Life-cycle assessment; Damages; Sustainability; Environmental economics; Process (computing); Greenhouse gas; Environmental science; Engineering; Risk analysis (engineering); Natural resource economics; Waste management; Business; Computer science; Production (economics); Economics; Ecology","score_opus":0.05662645728437861,"score_gpt":0.27512887060725283,"score_spread":0.21850241332287423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2561420761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9337774,0.00010340728,0.05813512,0.001577848,0.0002056847,0.0010543895,0.000080758924,0.000032944165,0.005032473],"genre_scores_gemma":[0.9983037,0.000043538275,0.00030410188,0.000053908643,0.000044791654,0.00006761843,0.00000458635,0.000026521857,0.0011512459],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99768776,0.00020035845,0.0005969871,0.00043927433,0.0006193855,0.00045622987],"domain_scores_gemma":[0.99777037,0.00063876185,0.00025269538,0.0010635249,0.000003068867,0.0002715631],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057910016,0.00023524518,0.00026211387,0.000040476887,0.0005573399,0.00004263383,0.0004542773,0.00009556815,0.0021530422],"category_scores_gemma":[0.00022475902,0.00013219613,0.0001412795,0.00015977434,0.00076223095,0.000353424,0.00051141926,0.0001233599,0.00035603007],"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":[0.00012359204,0.0004453677,0.6880803,0.000021686064,0.00017155934,0.000009773753,0.0025043238,0.134137,0.14127144,0.008450798,0.0056828805,0.01910128],"study_design_scores_gemma":[0.00060065056,0.00007875537,0.98927045,0.000048814913,0.00004632181,0.000031175216,0.0024153981,0.0011225211,0.00034060574,0.003535315,0.0022005683,0.000309403],"about_ca_topic_score_codex":0.000114547984,"about_ca_topic_score_gemma":0.000011460247,"teacher_disagreement_score":0.30119017,"about_ca_system_score_codex":0.0015346305,"about_ca_system_score_gemma":0.000016169837,"threshold_uncertainty_score":0.99875915},"labels":[],"label_agreement":null},{"id":"W2566724165","doi":"10.1007/s10098-016-1322-9","title":"A health-based life cycle impact assessment (LCIA) for cement manufacturing: a comparative study of China and Canada","year":2017,"lang":"en","type":"article","venue":"Clean Technologies and Environmental Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Tonne; Life-cycle assessment; China; Environmental science; Portland cement; Air quality index; Natural resource economics; Greenhouse gas; Air pollution; Impact assessment; Environmental engineering; Waste management; Cement; Engineering; Agricultural economics; Production (economics); Economics; Geography; Meteorology","score_opus":0.01792757150209069,"score_gpt":0.3201885585660863,"score_spread":0.3022609870639956,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566724165","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968395,0.000058680507,0.000040398587,0.0015257664,0.000018733988,0.0012086581,0.00011589713,0.000037197187,0.00015516987],"genre_scores_gemma":[0.9994015,0.00008551863,0.0002772001,0.00010187301,0.000011355976,0.00006193143,0.000012323581,0.000016180165,0.00003212168],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847865,0.000037566057,0.0003139378,0.00044002876,0.00026658122,0.00046325574],"domain_scores_gemma":[0.99879026,0.000036076042,0.00032708282,0.0006535008,8.5170103e-7,0.00019221083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018004347,0.00028253612,0.0004265726,0.000049163176,0.0007469938,0.000054749184,0.00035409752,0.000070662376,0.000050002065],"category_scores_gemma":[0.00003788872,0.0002382638,0.000057018704,0.000024762387,0.00093328446,0.00017992759,0.0007960964,0.00015439455,6.228899e-7],"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":[0.0001254271,0.0008977789,0.77230555,0.000069693175,0.00008185303,0.000004704192,0.0011187483,0.0019619688,0.0003182501,0.000031584812,0.0005392707,0.22254519],"study_design_scores_gemma":[0.0013232327,0.0015519387,0.9290085,0.0000082890465,0.000016341513,0.0000021144563,0.06431856,0.0016831624,0.0012102979,0.0005116636,0.00014257716,0.00022333197],"about_ca_topic_score_codex":0.52978134,"about_ca_topic_score_gemma":0.2596694,"teacher_disagreement_score":0.27011192,"about_ca_system_score_codex":0.0012202495,"about_ca_system_score_gemma":0.000069069734,"threshold_uncertainty_score":0.9716116},"labels":[],"label_agreement":null},{"id":"W2566917986","doi":"10.3390/en9121062","title":"An Analysis Based on SD Model for Energy-Related CO2 Mitigation in the Chinese Household Sector","year":2016,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"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":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Divisia index; Greenhouse gas; Natural resource economics; Energy consumption; Environmental science; Urbanization; Energy intensity; China; Consumption (sociology); Global warming; Climate change; Climate change mitigation; Emission intensity; Economics; Economic growth; Engineering; Geography","score_opus":0.007689259749911066,"score_gpt":0.22920762107647313,"score_spread":0.22151836132656208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2566917986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99309945,0.000006123663,0.005604017,0.0004635791,0.00001830842,0.00012092021,0.000033009623,0.00003312044,0.0006214436],"genre_scores_gemma":[0.99864346,0.0000049812284,0.00029148537,0.00043269273,0.0000125053975,0.00007348649,0.000028301809,0.000012236545,0.0005008241],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990156,0.00010551448,0.0001644495,0.00026285803,0.0002350007,0.00021654641],"domain_scores_gemma":[0.99934953,0.00014369853,0.00004896871,0.0004025695,0.0000023317184,0.000052903903],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003188167,0.00013594239,0.00012971018,0.0000668465,0.00009671398,0.000024787123,0.0002254858,0.00006415045,0.00022066178],"category_scores_gemma":[0.000040634102,0.00007088239,0.000110271925,0.00035763183,0.00015092453,0.0002583062,0.000024009616,0.00003979823,0.0000044550507],"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":[0.00003260152,0.00013332537,0.20296022,0.0000013749743,0.000009180528,9.0154515e-7,0.00037373757,0.7908039,0.004702208,0.00020863792,0.00007442103,0.000699453],"study_design_scores_gemma":[0.00037984416,0.00008009964,0.45242873,0.0000025117654,0.000028494343,1.3636995e-7,0.00012250023,0.54284716,0.0014935905,0.002443156,0.000056057623,0.000117731084],"about_ca_topic_score_codex":0.00037594748,"about_ca_topic_score_gemma":0.00089892553,"teacher_disagreement_score":0.24946849,"about_ca_system_score_codex":0.00025046474,"about_ca_system_score_gemma":0.0000069782996,"threshold_uncertainty_score":0.28905},"labels":[],"label_agreement":null},{"id":"W2570403866","doi":"10.1016/j.eng.2016.04.016","title":"Performance Assessment and Outlook of China’s Emission-Trading Scheme","year":2016,"lang":"en","type":"article","venue":"Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Economic and Social Research Council; Natural Environment Research Council; Sight Research UK","keywords":"China; Emissions trading; Emission intensity; Order (exchange); Quarter (Canadian coin); Environmental science; Greenhouse gas; Natural resource economics; Business; Environmental economics; Economics; Engineering; Geography; Finance; Electrical engineering","score_opus":0.004097169229723021,"score_gpt":0.21314336934188505,"score_spread":0.20904620011216202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2570403866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957636,0.000017145161,0.0013193865,0.00007324969,0.00003083494,0.00006339765,9.863827e-7,0.000020915335,0.0027104728],"genre_scores_gemma":[0.9963595,0.00002241826,0.0032588409,0.00000470203,0.000009900468,0.000003706078,2.5083742e-7,0.000007828028,0.00033281112],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9994941,0.0000052656765,0.000105773055,0.00011999126,0.000119245895,0.00015564059],"domain_scores_gemma":[0.99976015,0.000016822481,0.000022369466,0.00012171416,8.012833e-7,0.00007811857],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001400164,0.000078977275,0.000082217244,0.000014732234,0.00002998049,0.000004411971,0.000064302,0.000025359153,0.00046505858],"category_scores_gemma":[0.000019085446,0.000054426404,0.000018624538,0.000041983243,0.000054889628,0.00020405927,0.00009981458,0.00004740625,0.000005200696],"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":[0.0000012571702,0.000014288797,0.7607275,0.000021258771,0.0000028814934,7.5189826e-7,0.00009802421,0.00018862828,0.23230033,0.00002013261,0.0000261679,0.0065987734],"study_design_scores_gemma":[0.00014310898,0.000034591452,0.9656269,0.000030611252,0.0000023327439,0.0000029424875,0.000020199901,0.01673301,0.016879536,0.000015233538,0.00042367564,0.00008783597],"about_ca_topic_score_codex":0.000010724305,"about_ca_topic_score_gemma":1.5181331e-7,"teacher_disagreement_score":0.21542078,"about_ca_system_score_codex":0.00017534514,"about_ca_system_score_gemma":0.0000032362914,"threshold_uncertainty_score":0.50920653},"labels":[],"label_agreement":null},{"id":"W2571664187","doi":"10.1108/mrr-09-2015-0208","title":"Emissions from international transport in global supply chains","year":2017,"lang":"en","type":"article","venue":"Management Research Review","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Supply chain; Business; Sustainability; Greenhouse gas; Industrial organization; Environmental economics; Originality; Carbon tax; Supply chain management; Economics; Marketing","score_opus":0.06766960237017319,"score_gpt":0.40839582932680846,"score_spread":0.34072622695663524,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2571664187","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34804875,0.0034069694,0.00009680769,0.020060731,0.00017623114,0.0020234995,0.000065376116,0.000029377805,0.62609226],"genre_scores_gemma":[0.9431806,0.045651738,0.0005180639,0.00045413108,0.000030619827,0.00013291932,0.000047203255,0.000008436401,0.009976291],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99799156,0.00012710592,0.000236956,0.0003893656,0.00083277933,0.00042221945],"domain_scores_gemma":[0.99891835,0.00001850626,0.00004947595,0.0008468213,0.00000541716,0.00016145033],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015184527,0.00011381825,0.00016804335,0.000025671012,0.0002887368,0.0000649307,0.0011889235,0.000032569482,0.011630043],"category_scores_gemma":[0.00011659246,0.000096177086,0.0000754457,0.00013697996,0.00033523265,0.00033902156,0.0009254517,0.00019794868,0.0006825468],"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":[0.000011744593,0.00020978846,0.8652939,0.00019139773,0.000015697075,0.00016962328,0.000040379215,0.000009672367,0.000013757972,0.00046329948,0.011378109,0.122202605],"study_design_scores_gemma":[0.00017584054,0.0000116672345,0.7082297,0.0003510623,0.0000059263066,3.122683e-7,0.000059710415,0.000050922063,0.0000031307654,0.00090097595,0.29013735,0.00007339367],"about_ca_topic_score_codex":0.002498069,"about_ca_topic_score_gemma":0.00074517546,"teacher_disagreement_score":0.616116,"about_ca_system_score_codex":0.00083972124,"about_ca_system_score_gemma":0.000007249668,"threshold_uncertainty_score":0.9892735},"labels":[],"label_agreement":null},{"id":"W2576365207","doi":"10.18174/581065","title":"Protocol Energiemonitor Glastuinbouw : Vernieuwde versie tot en met 2021","year":2022,"lang":"nl","type":"report","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Physics; Art","score_opus":0.016612539203323288,"score_gpt":0.3015641748489596,"score_spread":0.2849516356456363,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2576365207","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10800628,0.00012271924,0.00006528529,0.00044068595,0.002601826,0.19957949,0.0005818727,0.00018859025,0.68841326],"genre_scores_gemma":[0.05101292,0.00050112355,0.0023779417,0.00036259755,0.0014995772,0.23411797,0.00046474932,0.0003312302,0.7093319],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9896193,0.0009104842,0.0014427869,0.002240613,0.003919413,0.0018673952],"domain_scores_gemma":[0.9958062,0.0003110034,0.0007432813,0.0021665907,0.000028636392,0.0009442718],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0024245477,0.0014065416,0.0012987172,0.00017451415,0.0010228849,0.00023481896,0.001796075,0.0007639464,0.6048502],"category_scores_gemma":[0.00043986243,0.0013241661,0.00091455254,0.0006862633,0.0008878911,0.0007533537,0.0049621467,0.0018493031,0.0066220765],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013886002,0.007288841,0.49164274,0.0018209451,0.0010940006,0.0027498098,0.0032025333,0.0055334154,0.0044069514,0.00007733216,0.2169341,0.26386073],"study_design_scores_gemma":[0.0013038579,0.0011900102,0.08604661,0.000041848478,0.00020511932,0.00009517142,0.005124904,0.00009195682,0.0017788063,0.00008298753,0.90261924,0.0014194974],"about_ca_topic_score_codex":0.0074387453,"about_ca_topic_score_gemma":0.0001858372,"teacher_disagreement_score":0.68568516,"about_ca_system_score_codex":0.0156006105,"about_ca_system_score_gemma":0.00076866546,"threshold_uncertainty_score":0.9998685},"labels":[],"label_agreement":null},{"id":"W2578916327","doi":"10.1007/bf02978481","title":"The Econo-Environmental Return (EER)","year":2003,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Goods and services; Risk analysis (engineering); Environmental impact assessment; Computer science; Environmental economics; Service (business); Activity-based costing; Investment (military); Operations research; Management science; Economics; Business; Engineering; Production (economics); Microeconomics; Marketing; Ecology; Accounting","score_opus":0.0072652445106097,"score_gpt":0.2667390543308472,"score_spread":0.2594738098202375,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2578916327","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97753847,0.0001349672,0.00034650313,0.005826378,0.00075097056,0.00013385167,0.0000044503718,0.000005351597,0.01525906],"genre_scores_gemma":[0.9975587,0.00021798999,0.000419736,0.0010113491,0.00012822564,0.0000051953775,0.000001175576,0.000012076463,0.0006455297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99796253,0.00021164546,0.0005010213,0.0001293665,0.0009560549,0.00023938733],"domain_scores_gemma":[0.9989452,0.00023663831,0.00038556315,0.00026812914,0.000011713175,0.00015276858],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016205386,0.00013679265,0.00013015184,0.000019886927,0.00027562375,0.00013778053,0.000957359,0.000035740006,0.0024253628],"category_scores_gemma":[0.00014687695,0.00007483022,0.00016135015,0.00004692002,0.00035638572,0.00033809664,0.00022135695,0.00031094195,0.00008401996],"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":[0.00022529995,0.0008450072,0.94339454,0.0000028996435,0.0005075615,0.00008274972,0.0010862291,0.0096769165,0.005642533,0.003613225,0.01375227,0.021170754],"study_design_scores_gemma":[0.0011722932,0.0002288229,0.8129673,0.000009754685,0.00004310148,0.00025972683,0.0042029745,0.0012500571,0.0012683133,0.013741664,0.16461483,0.00024119717],"about_ca_topic_score_codex":0.00002922028,"about_ca_topic_score_gemma":0.000017673756,"teacher_disagreement_score":0.15086256,"about_ca_system_score_codex":0.0010252583,"about_ca_system_score_gemma":0.00005962906,"threshold_uncertainty_score":0.9984866},"labels":[],"label_agreement":null},{"id":"W2581888692","doi":"","title":"Evaluation de l'incertitude d'un modele d'analyse de cycle de vie temporel de la production et de la consommation de l'electricite dans un contexte de gestion des centres de donnees","year":2016,"lang":"fr","type":"article","venue":"PhDT","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.014409025903041748,"score_gpt":0.2837234670889755,"score_spread":0.26931444118593373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2581888692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8105398,0.0011313728,0.18477964,0.0019501823,0.000042952273,0.00053619675,0.000023729623,0.000074988966,0.00092116784],"genre_scores_gemma":[0.98497945,0.0021818564,0.011797793,0.00032792875,0.00015055035,0.00015867544,0.000018979634,0.00005200858,0.00033274866],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99248016,0.004694076,0.00044753813,0.0005494716,0.00053638726,0.0012923876],"domain_scores_gemma":[0.9981386,0.0006653342,0.00024764004,0.0004105602,0.000046482197,0.0004913911],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.009295063,0.00036456613,0.00026946142,0.00009203269,0.00052622333,0.00016150858,0.0003075292,0.00037060937,0.00043562392],"category_scores_gemma":[0.0029060487,0.00034697808,0.00015534308,0.0002961798,0.0010637585,0.0009617666,0.00010952495,0.00039387483,0.00004108588],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011209263,0.00054526847,0.5133804,0.00005760848,0.000069604794,0.0000140971615,0.0087418035,0.13151157,0.27672464,0.0002146868,0.00011725911,0.068511],"study_design_scores_gemma":[0.00074843946,0.00009502182,0.6220936,0.00011385738,0.0003427023,0.00017420317,0.0006693852,0.12174384,0.20070748,0.052882668,0.00013812208,0.0002906441],"about_ca_topic_score_codex":0.013832491,"about_ca_topic_score_gemma":0.0022367015,"teacher_disagreement_score":0.17443968,"about_ca_system_score_codex":0.018619174,"about_ca_system_score_gemma":0.0008431792,"threshold_uncertainty_score":0.9998982},"labels":[],"label_agreement":null},{"id":"W2583787078","doi":"10.1146/annurev-resource-100815-095513","title":"Life Cycle Assessment for Economists","year":2017,"lang":"en","type":"article","venue":"Annual Review of Resource Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"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":"","keywords":"Externality; Life-cycle assessment; Product (mathematics); Product lifecycle; Product life-cycle management; Economics; Environmental economics; Risk analysis (engineering); Production (economics); Business; New product development; Microeconomics; Marketing","score_opus":0.009826310068318623,"score_gpt":0.2949390353411636,"score_spread":0.285112725272845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2583787078","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87817305,0.0021093397,0.0001250535,0.004486016,0.00010424028,0.0012020961,0.00019858897,0.000016625276,0.11358499],"genre_scores_gemma":[0.9731107,0.015028912,0.0037109256,0.0055669756,0.0001277218,0.0001187592,0.000040253028,0.000043538712,0.002252252],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99896485,0.000030522126,0.00040577012,0.00028629278,0.00006437073,0.0002481952],"domain_scores_gemma":[0.99841243,0.00006586633,0.00044199624,0.00083762384,0.000007001119,0.00023509371],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000849116,0.00014281584,0.00036608547,0.000009710208,0.00023915803,0.000035647205,0.000556799,0.000056719786,0.00093744905],"category_scores_gemma":[0.00047947004,0.00013701645,0.00020100428,0.000010854028,0.0003103801,0.0003644216,0.0003490422,0.00007785868,0.00007324162],"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":[0.00014701246,0.0007585798,0.33489934,0.0072704107,0.00019520905,0.000003757396,0.0008451716,0.003830813,0.00005674912,0.004359647,0.10239049,0.5452428],"study_design_scores_gemma":[0.0003943413,0.00012588063,0.14897887,0.00018894159,0.00003379132,0.0000017408202,0.00020751149,0.0007220185,0.00006543753,0.0009889363,0.8480652,0.00022732168],"about_ca_topic_score_codex":0.00008846157,"about_ca_topic_score_gemma":0.000021627813,"teacher_disagreement_score":0.7456747,"about_ca_system_score_codex":0.00027300313,"about_ca_system_score_gemma":0.00004034828,"threshold_uncertainty_score":0.9999758},"labels":[],"label_agreement":null},{"id":"W2587537304","doi":"10.3390/su9020209","title":"Chinese Electric Power Development Coordination Analysis on Resource, Production and Consumption: A Provincial Case Study","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"Fundamental Research Funds for the Central Universities; China Scholarship Council","keywords":"Electric power; Economic shortage; Production (economics); Resource (disambiguation); Projection (relational algebra); China; Power (physics); Consumption (sociology); Government (linguistics); Industrial organization; Environmental economics; Business; Operations management; Computer science; Economics; Microeconomics; Political science","score_opus":0.007798247556701718,"score_gpt":0.28909218509241313,"score_spread":0.2812939375357114,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587537304","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969715,0.000008590788,0.00004391428,0.00047520906,0.000041800355,0.0018200207,0.0000017477457,0.000047952526,0.0005892646],"genre_scores_gemma":[0.9987183,6.5788686e-7,0.000055138924,0.00002597396,0.000023884373,0.00011656245,0.000003440206,0.0000113562355,0.0010446787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978184,0.00025174048,0.00032549878,0.0007956847,0.0004243261,0.00038435796],"domain_scores_gemma":[0.9985077,0.000046116926,0.00020028124,0.0010229545,0.00005327994,0.00016970058],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0015228881,0.00025147013,0.00027597274,0.00012370312,0.0016327987,0.00015879062,0.00020234262,0.00007994308,0.00027834298],"category_scores_gemma":[0.0020453038,0.00021126257,0.000076538505,0.00032388506,0.00042983485,0.0004902034,0.00038364355,0.00020509413,0.00001571467],"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":[0.0001363239,0.0010697935,0.98381925,0.000027847487,0.000062725085,0.00024094971,0.003993237,0.00022427177,0.000022357111,0.0000075537587,0.000029732144,0.010365934],"study_design_scores_gemma":[0.00033834606,0.0003218827,0.994367,0.0000012853674,0.000099922814,0.000054915334,0.0037170856,0.00018211207,0.00006690037,0.000295351,0.00031933232,0.00023586591],"about_ca_topic_score_codex":0.0018145703,"about_ca_topic_score_gemma":0.0029555643,"teacher_disagreement_score":0.010547726,"about_ca_system_score_codex":0.002774293,"about_ca_system_score_gemma":0.0000659451,"threshold_uncertainty_score":0.9996669},"labels":[],"label_agreement":null},{"id":"W2587903099","doi":"10.1088/1748-9326/aa60a7","title":"Greenhouse gas mitigation for U.S. plastics production: energy first, feedstocks later","year":2017,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":143,"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":"Colcom Foundation; Carnegie Mellon University; National Science Foundation","keywords":"Renewable energy; Greenhouse gas; Tonne; Environmental science; Waste management; Renewable fuels; Renewable resource; Raw material; Engineering; Chemistry","score_opus":0.02465776184904039,"score_gpt":0.29176697434301097,"score_spread":0.26710921249397057,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2587903099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98606247,0.00002647273,0.00067954825,0.011095228,0.00024819616,0.0007801996,0.00003695344,0.000037814563,0.0010331321],"genre_scores_gemma":[0.9935551,0.00010100657,0.0008614732,0.0004179417,0.00028253885,0.0002813974,0.000047449255,0.000057296253,0.0043957857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99684334,0.0001237085,0.0002860762,0.0007658299,0.0010291389,0.00095190026],"domain_scores_gemma":[0.9982752,0.0001436544,0.00012958134,0.0011288293,0.00000394797,0.00031876646],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000837494,0.00027227105,0.00019471227,0.0000687776,0.002374884,0.0002157476,0.0007507719,0.000119338525,0.0016848819],"category_scores_gemma":[0.00031439518,0.0002625916,0.00013553796,0.000060457263,0.0022885858,0.00087295915,0.0008079671,0.00031700777,0.00045905437],"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":[0.00042273523,0.0009572395,0.757843,0.00005873643,0.000068078305,0.0000630637,0.0009811096,0.0019932669,0.13804413,0.000076289005,0.069736145,0.029756183],"study_design_scores_gemma":[0.0011441903,0.0004872361,0.79417956,0.000024644036,0.00002523378,0.000021881053,0.00031516477,0.00087221136,0.05310521,0.0019002532,0.14730683,0.00061756105],"about_ca_topic_score_codex":0.00038533178,"about_ca_topic_score_gemma":0.00028761014,"teacher_disagreement_score":0.08493892,"about_ca_system_score_codex":0.0014588586,"about_ca_system_score_gemma":0.00000855717,"threshold_uncertainty_score":0.99998266},"labels":[],"label_agreement":null},{"id":"W2588024863","doi":"10.1007/s11367-014-0763-9","title":"Erratum to: Global guidance on environmental life cycle impact assessment indicators: findings of the scoping phase","year":2014,"lang":"en","type":"erratum","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Phase (matter); Environmental planning; Environmental science; Environmental resource management; Economics; Chemistry; Macroeconomics","score_opus":0.010049916267406676,"score_gpt":0.34364767031025173,"score_spread":0.33359775404284503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588024863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96493626,0.00016935638,0.0005882502,0.0057146046,0.009184094,0.0009024916,0.00028391328,0.000014439953,0.018206576],"genre_scores_gemma":[0.9941324,0.00013317962,0.0004380402,0.0027507388,0.0010275334,0.000021075586,0.000036788388,0.000052099367,0.0014081612],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9929046,0.0005064904,0.0016068021,0.00051307055,0.0038773692,0.000591692],"domain_scores_gemma":[0.99618375,0.00022169639,0.0020675622,0.00089241157,0.000038617207,0.00059595366],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020770156,0.0006142253,0.0008081061,0.0001500285,0.00027321363,0.00020199861,0.003510221,0.00027114438,0.0019952133],"category_scores_gemma":[0.00038192276,0.00037953202,0.0007815682,0.00030614214,0.000577727,0.00038622165,0.0015252401,0.0014571646,0.00006297646],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079535233,0.0044416753,0.3580625,0.00011154663,0.001677819,0.000064683794,0.00076112436,0.051650837,0.001465229,0.00022991041,0.5729223,0.007817026],"study_design_scores_gemma":[0.0023378977,0.0014416828,0.9772869,0.0011787678,0.0001840066,0.00005751168,0.00049933005,0.0018194044,0.00021397704,0.0010463988,0.013346151,0.0005879675],"about_ca_topic_score_codex":0.00021976576,"about_ca_topic_score_gemma":0.000036530877,"teacher_disagreement_score":0.61922437,"about_ca_system_score_codex":0.0066170944,"about_ca_system_score_gemma":0.0008554482,"threshold_uncertainty_score":0.99986565},"labels":[],"label_agreement":null},{"id":"W2588452350","doi":"10.1007/s11027-016-9735-7","title":"Climate change mitigation strategies in the forest sector: biophysical impacts and economic implications in British Columbia, Canada","year":2017,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"Natural Resources Canada; Canadian Forest Service; Government of Canada; U.S. Forest Service; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Climate change mitigation; Climate change; Carbon sequestration; Environmental science; Bioenergy; Natural resource economics; Fossil fuel; Renewable energy; Portfolio; Business; Agroforestry; Environmental resource management; Ecology; Economics; Carbon dioxide","score_opus":0.03260251250540788,"score_gpt":0.26907177279201755,"score_spread":0.23646926028660967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2588452350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963601,0.000054443743,0.00003262719,0.0012459242,0.0000498546,0.00093103125,0.00030599086,0.000009873182,0.0010101257],"genre_scores_gemma":[0.9989299,0.00014805007,0.000085968175,0.00028860063,0.000056785528,0.00036933128,0.000106768144,0.0000064409514,0.000008122156],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999061,0.00004523012,0.0002245804,0.00026820006,0.00011721212,0.0002837949],"domain_scores_gemma":[0.99955505,0.000037966896,0.00014313955,0.00017513192,0.0000075303997,0.00008115173],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020618648,0.000109347064,0.00013021275,0.000011101455,0.00043628356,0.0009574037,0.00013729972,0.00006164812,0.000027140693],"category_scores_gemma":[0.000019416399,0.0001335077,0.00002426522,0.000057387144,0.00027896345,0.001655455,0.00005666553,0.00006525942,0.0000013648007],"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":[0.000008908287,0.000034811896,0.9832982,0.000047889884,0.000002599323,0.0000030216897,0.0014313429,0.000057582427,0.000055497374,0.0056799194,0.000079196536,0.009301071],"study_design_scores_gemma":[0.00045385535,0.000057583733,0.9675434,0.000025640244,0.0000064745805,0.0000075856574,0.014889956,0.0028277168,0.0000021634585,0.013850012,0.00019591906,0.00013965178],"about_ca_topic_score_codex":0.8132567,"about_ca_topic_score_gemma":0.99698186,"teacher_disagreement_score":0.18372518,"about_ca_system_score_codex":0.00043833023,"about_ca_system_score_gemma":0.000064511674,"threshold_uncertainty_score":0.9232266},"labels":[],"label_agreement":null},{"id":"W2589755777","doi":"10.1016/j.scitotenv.2017.02.049","title":"Global land-use change hidden behind nickel consumption","year":2017,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":78,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Consumption (sociology); Natural resource; Natural resource economics; Land use; Resource (disambiguation); Supply chain; Business; Geography; Economics; Ecology; Computer science","score_opus":0.03172518529929173,"score_gpt":0.26788912146471355,"score_spread":0.2361639361654218,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2589755777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951954,0.000029610435,0.0000065612057,0.0016730826,0.00022079422,0.0005709245,0.00002804991,0.0000103949105,0.0022652028],"genre_scores_gemma":[0.9977189,0.000047220314,0.00015851887,0.00006658599,0.000033715663,0.000023747556,7.652684e-7,0.0000075549024,0.0019430346],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99786633,0.00007723569,0.00022049117,0.0003941553,0.00096901093,0.00047276999],"domain_scores_gemma":[0.9976849,0.000027743785,0.00028835578,0.001849138,0.0000025767158,0.00014726174],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.00091223774,0.00018566489,0.00015009523,0.000011193586,0.0015297768,0.00014510784,0.0018819078,0.000051356295,0.0009921159],"category_scores_gemma":[0.00012292109,0.000104574145,0.000119928,0.00006357076,0.00741866,0.0010921106,0.0027084183,0.00012553479,0.00038358694],"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":[0.00006467573,0.00035706462,0.9647567,0.000012798203,0.000019517202,0.000003758529,0.0013604494,0.004137821,0.016792051,0.00030685353,0.00027793428,0.011910337],"study_design_scores_gemma":[0.00022126098,0.00005354535,0.9944289,0.000008733874,0.000026166786,0.000014159638,0.00007837476,0.0006113098,0.003377767,0.00087277556,0.00016702806,0.00014002647],"about_ca_topic_score_codex":0.0020000902,"about_ca_topic_score_gemma":0.000040330153,"teacher_disagreement_score":0.029672114,"about_ca_system_score_codex":0.0007818081,"about_ca_system_score_gemma":0.000014644462,"threshold_uncertainty_score":0.9999211},"labels":[],"label_agreement":null},{"id":"W2593076119","doi":"","title":"Eco-Efficiency of the Road Freight Transport of the Region North America in the International Trade (Eco-Eficiencia Del Transporte De Carga Terrestre De La Región Norteamérica En El Comercio Internacional)","year":2017,"lang":"es","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Humanities; Greenhouse gas; Political science; Geography; Cartography; Art; Geology","score_opus":0.005163280863843805,"score_gpt":0.24141975784156378,"score_spread":0.23625647697771998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2593076119","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907823,0.00030134697,0.0004306272,0.0058925436,0.00015974406,0.0004623438,0.00004613461,0.0000060927114,0.0019188264],"genre_scores_gemma":[0.99626094,0.0032779684,0.000024121662,0.0001738549,0.000082252176,0.000013545966,0.0000040866316,0.00002485277,0.00013840066],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99569416,0.0006380574,0.0007703322,0.00037139677,0.0009997366,0.0015262988],"domain_scores_gemma":[0.997855,0.00014462875,0.0009487242,0.00093043974,0.000010674393,0.000110504305],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0021630537,0.00034216404,0.00036735588,0.00007408331,0.0006685603,0.00006931827,0.004154722,0.0001746716,0.000048672002],"category_scores_gemma":[0.00013304596,0.00019884379,0.00055409095,0.00025933815,0.001920179,0.0003554339,0.0001552412,0.0024373108,0.0000017395702],"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":[0.00010281605,0.0009264488,0.9750024,0.000017676608,0.00007096992,0.000018254073,0.008318805,0.0019754674,0.0010155214,0.0008655095,0.00002652101,0.011659607],"study_design_scores_gemma":[0.0006767756,0.00025507822,0.9869841,0.000087748034,0.00010748503,0.00036639028,0.0063205524,0.0008012018,0.00039698387,0.0026948564,0.0011026489,0.00020621065],"about_ca_topic_score_codex":0.004664414,"about_ca_topic_score_gemma":0.009294237,"teacher_disagreement_score":0.011981666,"about_ca_system_score_codex":0.0027930974,"about_ca_system_score_gemma":0.0011899882,"threshold_uncertainty_score":0.9998641},"labels":[],"label_agreement":null},{"id":"W2594570239","doi":"","title":"Modélisation de l’influence de la sélection des matériaux sur le profil environnemental du cycle de vie d’un bâtiment à bureaux : évaluation critique de LEED v4","year":2017,"lang":"fr","type":"article","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Art; Political science; Humanities","score_opus":0.013037955111004938,"score_gpt":0.2313595783710949,"score_spread":0.21832162326008994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594570239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.890795,0.0010302295,0.099086076,0.0006752026,0.000082349194,0.00042382829,0.000016493443,0.000018777006,0.007872076],"genre_scores_gemma":[0.9851306,0.0011298299,0.012606125,0.00002814434,0.000049023696,0.0000036668844,0.0000073202787,0.0000141912205,0.0010311105],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9979687,0.0006225875,0.00026240485,0.00033079155,0.00035839967,0.00045716847],"domain_scores_gemma":[0.9990465,0.00008564943,0.00020110728,0.0004259596,0.00004163443,0.00019911714],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0013087349,0.00024061659,0.00022517842,0.00005258822,0.0021744836,0.00006277716,0.0007114774,0.0002624766,0.00035087147],"category_scores_gemma":[0.00024585405,0.00027043954,0.00022693705,0.00008881831,0.0038385096,0.0010566278,0.00048362976,0.00025585815,0.0000341165],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017248663,0.0013630546,0.2584621,0.0008117471,0.00008816012,0.000016111762,0.012200991,0.42052674,0.29547653,0.003800838,0.00016215764,0.0069191023],"study_design_scores_gemma":[0.0009317121,0.000082825776,0.6842075,0.0004286908,0.00015114316,0.000069014735,0.0006082958,0.12516195,0.18273601,0.0048862463,0.0005505005,0.00018613366],"about_ca_topic_score_codex":0.042937048,"about_ca_topic_score_gemma":0.00705534,"teacher_disagreement_score":0.4257454,"about_ca_system_score_codex":0.010309556,"about_ca_system_score_gemma":0.00046825618,"threshold_uncertainty_score":0.9999748},"labels":[],"label_agreement":null},{"id":"W2594912220","doi":"10.1007/s10113-017-1136-2","title":"Spanish agriculture from 1900 to 2008: a long-term perspective on agroecosystem energy from an agroecological approach","year":2017,"lang":"en","type":"article","venue":"Regional Environmental Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Economía y Competitividad","keywords":"Agroecology; Agroecosystem; Agriculture; Industrialisation; Deforestation (computer science); Agroforestry; Natural resource economics; Ecosystem services; Geography; Environmental science; Ecosystem; Economics; Ecology","score_opus":0.03408243170897757,"score_gpt":0.2673483701019828,"score_spread":0.23326593839300525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594912220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98925996,0.00016786206,0.00012438766,0.0017577525,0.00015905575,0.00080340315,0.00047137777,0.000067240304,0.007188949],"genre_scores_gemma":[0.99322945,0.00011903734,0.00041804547,0.0034916487,0.0007102938,0.0002908658,0.0006638368,0.000051902196,0.0010249215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963362,0.00019783944,0.00031519742,0.0014825512,0.0009309088,0.0007373063],"domain_scores_gemma":[0.9976078,0.000059589514,0.00024852715,0.001282789,0.0000033578654,0.0007978848],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00014502509,0.00059567863,0.00047250462,0.00003913376,0.00086311053,0.00018149678,0.0011372474,0.00033784503,0.005231655],"category_scores_gemma":[0.00002089993,0.00048604875,0.00024161731,0.000058956946,0.00059496524,0.00086213084,0.00091682485,0.00032687027,0.0011268944],"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":[0.00074592227,0.0054928353,0.95148736,0.000011525464,0.00018488803,0.00039753856,0.0052096155,0.0002302611,0.017696306,0.0004901769,0.006947726,0.011105823],"study_design_scores_gemma":[0.0007270248,0.00055714,0.9901188,0.000020355512,0.000043095257,0.000017674482,0.0017297807,0.0001309789,0.0008096885,0.00047330264,0.004717331,0.00065480644],"about_ca_topic_score_codex":0.010376503,"about_ca_topic_score_gemma":0.0017417767,"teacher_disagreement_score":0.03863144,"about_ca_system_score_codex":0.002964579,"about_ca_system_score_gemma":0.000007245402,"threshold_uncertainty_score":0.99975914},"labels":[],"label_agreement":null},{"id":"W2595674328","doi":"10.1007/s11367-017-1303-1","title":"Subcategory assessment method for social life cycle assessment: a case study of high-density polyethylene production in Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates Bio Solutions","keywords":"Subcategory; Life-cycle assessment; Production (economics); Environmental science; Mathematics; Economics","score_opus":0.019753346420939327,"score_gpt":0.3539114441365339,"score_spread":0.33415809771559457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2595674328","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98505884,0.000006570075,0.0018465632,0.010905758,0.00095353014,0.0007409084,0.000017414348,0.000004084139,0.0004663212],"genre_scores_gemma":[0.9962815,0.000009239096,0.0029119083,0.00030243702,0.00031687424,0.000042762033,0.0000054450634,0.000022465583,0.00010733588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99641937,0.00043889284,0.0010002367,0.0003386966,0.0014744644,0.0003283587],"domain_scores_gemma":[0.9973568,0.00033753982,0.00149554,0.00048519523,0.00013118587,0.00019377003],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0028149548,0.0002446885,0.0004858555,0.00008080608,0.0005451399,0.00013691469,0.0010892621,0.00006637696,0.00019667842],"category_scores_gemma":[0.0003434955,0.00019167458,0.00015224228,0.00007952843,0.0001882278,0.0006552658,0.0005441856,0.00044927292,9.946128e-7],"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":[0.000620345,0.005444037,0.9181852,0.00004500454,0.00089948415,0.00070893473,0.0033363043,0.044872344,0.0027035407,0.0006405878,0.0014122103,0.021132013],"study_design_scores_gemma":[0.0023525949,0.00038074885,0.9786866,0.000012334838,0.00009766789,0.00018870365,0.0109220045,0.0049037132,0.00034939832,0.0017982087,0.00010655338,0.00020147713],"about_ca_topic_score_codex":0.74403936,"about_ca_topic_score_gemma":0.5962786,"teacher_disagreement_score":0.14776075,"about_ca_system_score_codex":0.0028177116,"about_ca_system_score_gemma":0.00087930344,"threshold_uncertainty_score":0.7816262},"labels":[],"label_agreement":null},{"id":"W2598951025","doi":"10.1016/j.enpol.2017.03.027","title":"Input-output and structural decomposition analysis of Singapore's carbon emissions","year":2017,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":260,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Natural resource economics; Input–output model; Quarter (Canadian coin); Agricultural economics; Final demand; Economics; Disadvantaged; Energy demand; Environmental science; Environmental engineering; Economic growth; Geography; Production (economics)","score_opus":0.009660927864924842,"score_gpt":0.2925116576355687,"score_spread":0.28285072977064385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2598951025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9837913,0.000014794542,0.000038363578,0.0003966807,0.000018282299,0.000026594607,0.000007838682,0.00000872826,0.015697414],"genre_scores_gemma":[0.9989443,0.000015182523,0.00016093517,0.000089432244,0.00003056453,0.0000019740805,0.000010869996,0.000005740756,0.00074102904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999319,0.000034058594,0.00014098173,0.00018265734,0.00014398409,0.00017930122],"domain_scores_gemma":[0.99929976,0.000016482885,0.0001248189,0.00042310264,0.0000026519124,0.00013319308],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000744261,0.00009884144,0.00016681712,0.000082975814,0.00026982164,0.000033570155,0.00016625416,0.00005366678,0.00016092948],"category_scores_gemma":[0.00006457828,0.00008476406,0.00006887309,0.00013527455,0.00039982004,0.00015895657,0.00027005744,0.00004523662,7.849025e-7],"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":[0.000018571744,0.000043753236,0.9501109,0.000004853243,0.00011809504,0.0000041922044,0.0007236333,0.0029952275,0.019680416,0.0012311168,0.00004133149,0.025027908],"study_design_scores_gemma":[0.0001148208,0.00002869423,0.9859536,0.0000022154227,0.0000960249,0.0000016219356,0.000047079935,0.0074324203,0.0042713895,0.0016153513,0.00034256038,0.00009417362],"about_ca_topic_score_codex":0.026150731,"about_ca_topic_score_gemma":0.0006677127,"teacher_disagreement_score":0.035842746,"about_ca_system_score_codex":0.00017273045,"about_ca_system_score_gemma":0.000010327305,"threshold_uncertainty_score":0.9803342},"labels":[],"label_agreement":null},{"id":"W2599906986","doi":"","title":"Decomposing Multifactor Productivity Growth in Canada by Industry and Province, 1997- 2014","year":2016,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","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":"Productivity; Multifactor productivity; Economics; Economic geography; Agricultural economics; Econometrics; Total factor productivity; Macroeconomics","score_opus":0.008134864111211051,"score_gpt":0.24301931947419989,"score_spread":0.23488445536298883,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2599906986","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940364,0.000014928606,5.871334e-7,0.0006956575,0.000033179138,0.00038633015,0.00002866005,0.0000056206122,0.0047986866],"genre_scores_gemma":[0.99863076,0.00024302813,0.00007495858,0.000040888466,0.000014316447,0.000026415655,0.000002492806,0.000015044219,0.0009520684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824077,0.00017432414,0.00023897935,0.0005349986,0.00018891017,0.000622023],"domain_scores_gemma":[0.9992303,0.00022332811,0.00004612775,0.00028340545,0.000003570809,0.00021322344],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00080404285,0.0001392429,0.00017437524,0.000049313116,0.00009161049,0.000024556584,0.00020433373,0.000112214606,0.00027877314],"category_scores_gemma":[0.000257883,0.00011333422,0.000016625474,0.000074247866,0.0004474237,0.00037103295,0.00035203435,0.00044832632,0.0000069958523],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002843783,0.000072151546,0.88969517,0.000009453115,0.0000024217843,0.000009555631,0.000049198145,0.00004122503,0.00424649,0.0000026432638,0.00021637067,0.105626896],"study_design_scores_gemma":[0.00050577964,0.00004718608,0.9864014,0.00001797158,7.765066e-7,0.000004513125,0.00035866877,0.0002529012,0.005914706,0.00012772673,0.0061577284,0.00021068583],"about_ca_topic_score_codex":0.3592653,"about_ca_topic_score_gemma":0.70495135,"teacher_disagreement_score":0.34568605,"about_ca_system_score_codex":0.006128189,"about_ca_system_score_gemma":0.0002711897,"threshold_uncertainty_score":0.9976871},"labels":[],"label_agreement":null},{"id":"W2601778563","doi":"10.1007/s11367-017-1297-8","title":"Towards harmonizing natural resources as an area of protection in life cycle impact assessment","year":2017,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":89,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Lethbridge; Alberta Ministry of Agriculture and Forestry; Agriculture and Agri-Food Canada","funders":"Seventh Framework Programme; Alberta Livestock and Meat Agency; European Commission; Society of Environmental Toxicology and Chemistry","keywords":"Life-cycle assessment; Impact assessment; Natural (archaeology); Natural resource; Risk analysis (engineering); Business; Political science; Geography; Economics; Production (economics)","score_opus":0.031958804133699364,"score_gpt":0.3498879915459527,"score_spread":0.3179291874122533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2601778563","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.991446,0.000036717756,0.0003159093,0.004028056,0.0003809369,0.00026225662,0.0000061400738,0.0000068904255,0.0035171004],"genre_scores_gemma":[0.99859154,0.00003773667,0.00090701005,0.00022573039,0.00016222586,0.000009968295,0.0000023128632,0.000014795529,0.00004865597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99732244,0.0002068493,0.0006764572,0.00020147074,0.0013394404,0.00025331427],"domain_scores_gemma":[0.99818844,0.00006042376,0.0010429312,0.00042712234,0.00006408802,0.00021701459],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017901554,0.00018630322,0.00028805583,0.00009281357,0.0002317264,0.00024942067,0.0013986275,0.000058801394,0.0007083598],"category_scores_gemma":[0.0003570065,0.00012505347,0.00019397648,0.000063873726,0.00029146255,0.0012573871,0.00048695042,0.0004969963,0.0000060758466],"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":[0.00071040663,0.0013319564,0.8970587,0.000014702276,0.00031202604,0.000083135645,0.0022712701,0.040050972,0.018761007,0.00015564146,0.00012988993,0.03912024],"study_design_scores_gemma":[0.0009464245,0.000386578,0.97693306,0.00004612852,0.000019469097,0.000042788768,0.0015600321,0.016337557,0.0007523028,0.0027110027,0.00013248465,0.00013215862],"about_ca_topic_score_codex":0.003788018,"about_ca_topic_score_gemma":0.00019423351,"teacher_disagreement_score":0.07987432,"about_ca_system_score_codex":0.0015296058,"about_ca_system_score_gemma":0.00020949678,"threshold_uncertainty_score":0.77560437},"labels":[],"label_agreement":null},{"id":"W2605227487","doi":"10.1111/jiec.12574","title":"Effects of Distribution Choice on the Modeling of Life Cycle Inventory Uncertainty: An Assessment on the Ecoinvent v2.2 Database","year":2017,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Eidgenössische Technische Hochschule Zürich","keywords":"Log-normal distribution; Econometrics; Range (aeronautics); Probability distribution; Monte Carlo method; Standard deviation; Probability density function; Distribution (mathematics); Product (mathematics); Statistics; Computer science; Mathematics; Engineering","score_opus":0.047059674472187785,"score_gpt":0.31919866377816436,"score_spread":0.2721389893059766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2605227487","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958699,0.000006298694,0.000069933034,0.0028699473,0.00037470838,0.00038139574,0.000021551437,0.000002052302,0.00040421504],"genre_scores_gemma":[0.9994765,0.000018458377,0.000013593067,0.0002779686,0.00018049686,0.000007573871,0.0000050273065,0.0000072399234,0.000013145289],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980439,0.00061879435,0.000533604,0.00015027767,0.00042173854,0.00023167],"domain_scores_gemma":[0.9976136,0.0006866173,0.0010071781,0.000522297,0.000021521393,0.00014877449],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002284741,0.0001366716,0.0003005647,0.000025274727,0.00033315213,0.000025298918,0.0006717933,0.0001384879,0.00036555223],"category_scores_gemma":[0.0028476715,0.00007677445,0.0001327015,0.0000493115,0.00046901574,0.00025921146,0.0002312247,0.00059595593,0.0000050950393],"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":[0.0017355379,0.004439489,0.5745802,0.00005304732,0.00027154188,0.00004130789,0.0005495438,0.39449683,0.007540684,0.0031386032,0.005335553,0.007817668],"study_design_scores_gemma":[0.0059805424,0.008160391,0.8569312,0.00022870244,0.00025543815,0.000012757009,0.0019095964,0.11157626,0.0089161685,0.004577038,0.0010529362,0.00039898496],"about_ca_topic_score_codex":0.00061697845,"about_ca_topic_score_gemma":0.00016976903,"teacher_disagreement_score":0.28292057,"about_ca_system_score_codex":0.0006949755,"about_ca_system_score_gemma":0.00012644439,"threshold_uncertainty_score":0.40025404},"labels":[],"label_agreement":null},{"id":"W2608173424","doi":"","title":"Updating USAGE: Baseline and Illustrative Application","year":2017,"lang":"en","type":"preprint","venue":"Victoria University Research Repository (Victoria University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Baseline (sea); Benchmark (surveying); Commission; Homeland security; Task (project management); Computer science; Work (physics); Database; Operations research; Business; Finance; Engineering; Economics; Political science; Management","score_opus":0.022884124177284353,"score_gpt":0.27706113143703276,"score_spread":0.2541770072597484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2608173424","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8192616,0.000051406456,0.001089966,0.00035711913,0.0011736649,0.001592636,0.000117316515,0.00019088632,0.17616539],"genre_scores_gemma":[0.9663032,0.000245278,0.00064989075,0.000007747752,0.0005034345,0.0000018471953,0.00008927056,0.000039533345,0.03215975],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9943593,0.0015430218,0.00029228328,0.0016386817,0.0012558111,0.00091089075],"domain_scores_gemma":[0.9964862,0.0003804993,0.00043472927,0.001765143,0.00018813378,0.000745294],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0017382982,0.00053067354,0.00052812346,0.0004313501,0.003026085,0.0003139514,0.0018897386,0.00076860696,0.00023297471],"category_scores_gemma":[0.0002883406,0.0006439547,0.00020450586,0.000546361,0.0021412924,0.0011173545,0.006470036,0.002064975,0.00009522841],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0023221374,0.0014854155,0.90102875,0.0008326866,0.000738463,0.0036795023,0.0104523245,0.0019262864,0.04325277,0.018118495,0.010906352,0.0052568223],"study_design_scores_gemma":[0.0023721806,0.00043546277,0.104123496,0.00018804202,0.00031076116,0.000039456798,0.010730796,0.0040066186,0.0018266925,0.0016963992,0.8724701,0.0018000006],"about_ca_topic_score_codex":0.007928228,"about_ca_topic_score_gemma":0.00076266326,"teacher_disagreement_score":0.86156374,"about_ca_system_score_codex":0.005067411,"about_ca_system_score_gemma":0.00033883622,"threshold_uncertainty_score":0.9996012},"labels":[],"label_agreement":null},{"id":"W2610208606","doi":"","title":"Eco-Eficiencia Del Transporte De Carga Terrestre De La Región Norteamérica En El Comercio Internaciona (Eco-Efficiency of the Road Freight Transport of the Region North America in the International Trade)","year":2017,"lang":"es","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Humanities; Geography; Greenhouse gas; Political science; Cartography; Art; Geology","score_opus":0.005190851433589763,"score_gpt":0.24279799640106797,"score_spread":0.2376071449674782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2610208606","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9910335,0.00031657153,0.0005688034,0.0055614035,0.00016594843,0.000413483,0.00004069182,0.0000051830234,0.0018944271],"genre_scores_gemma":[0.99625343,0.003303145,0.000016490252,0.00016458459,0.00007936939,0.000009818997,0.0000035776116,0.000024939365,0.00014466798],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99572515,0.0006308467,0.000770965,0.00037131013,0.00096505,0.0015366629],"domain_scores_gemma":[0.99783397,0.00013016828,0.00095757097,0.00095828663,0.000010748901,0.000109273795],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0021812925,0.00034142987,0.00036827152,0.0000729444,0.0006724774,0.000070738446,0.0041423826,0.00017707734,0.000047496567],"category_scores_gemma":[0.00012702231,0.0001980035,0.0005417208,0.00026188468,0.0019165738,0.00036839637,0.0001537153,0.0024349948,0.000001829007],"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":[0.000098784425,0.00071225525,0.97694397,0.00001759733,0.00006488584,0.000017536415,0.00954576,0.0016406949,0.0009942957,0.0007956065,0.000023362349,0.00914524],"study_design_scores_gemma":[0.0006745644,0.00022490359,0.98659915,0.00008745012,0.00010658443,0.00034633107,0.007307792,0.0006578341,0.00040548836,0.0025387544,0.0008452931,0.00020582863],"about_ca_topic_score_codex":0.0054725795,"about_ca_topic_score_gemma":0.009176302,"teacher_disagreement_score":0.009655195,"about_ca_system_score_codex":0.0027696425,"about_ca_system_score_gemma":0.0011458237,"threshold_uncertainty_score":0.9998664},"labels":[],"label_agreement":null},{"id":"W2611893769","doi":"10.1016/j.ecolecon.2017.04.027","title":"The Impact on Global Greenhouse Gas Emissions of Geographic Shifts in Global Supply Chains","year":2017,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Greenhouse gas; Latin Americans; China; Natural resource economics; Climate change; Global warming; East Asia; Developing country; Geography; Supply chain; Environmental science; Economics; Business; Economic growth; Political science; Ecology","score_opus":0.010587453913822499,"score_gpt":0.2686541456090285,"score_spread":0.258066691695206,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2611893769","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812301,0.000010422144,0.0000018914684,0.0010108965,0.00007950106,0.00028687186,0.000079195655,0.000013079701,0.017288068],"genre_scores_gemma":[0.9995606,0.00017261422,0.00004236793,0.000119104385,0.000017219334,0.000013297453,0.0000030495296,0.0000048385145,0.00006689862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987499,0.000069680034,0.0003068171,0.00031442873,0.00008260963,0.0004765791],"domain_scores_gemma":[0.9988305,0.00009551623,0.00019393051,0.0006662258,0.00000195994,0.00021189198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045310878,0.00018331413,0.0002449759,0.000008441488,0.00046115703,0.00007515012,0.0007462767,0.00014480588,0.00088926736],"category_scores_gemma":[0.00024284107,0.000113527516,0.00018145336,0.00004933679,0.00095374236,0.00018474035,0.0005255184,0.00015057085,0.00009071458],"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":[0.00009420542,0.00037569806,0.98934716,0.0000010708267,0.0000083234045,0.0000058641517,0.000019046427,0.0032242162,0.0000067514547,0.00093203515,0.00012359198,0.005862056],"study_design_scores_gemma":[0.0003886609,0.00037994946,0.9794179,0.0000025534118,0.0000036773347,0.000001975538,0.000071313065,0.0014988146,0.000011277749,0.017790722,0.00030772842,0.00012539365],"about_ca_topic_score_codex":0.0017119867,"about_ca_topic_score_gemma":0.0048419535,"teacher_disagreement_score":0.018330537,"about_ca_system_score_codex":0.0012986775,"about_ca_system_score_gemma":0.00002337974,"threshold_uncertainty_score":0.9736854},"labels":[],"label_agreement":null},{"id":"W2614073055","doi":"10.6000/1929-7092.2017.06.12","title":"Some Problems on the Sectoral Structure, GDP Growth and Sustainability of Vietnam","year":2017,"lang":"en","type":"article","venue":"Journal of Reviews on Global Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Economics; Economic system; Biology","score_opus":0.015319752443051733,"score_gpt":0.26261788100046424,"score_spread":0.2472981285574125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2614073055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99557716,0.00088138675,0.0000054343955,0.0017738348,0.0001338416,0.00045951072,0.000028827373,0.0000014971131,0.0011384854],"genre_scores_gemma":[0.99502623,0.0043594977,0.00009634247,0.0004153228,0.000067711655,0.000002148911,3.8042188e-7,0.000005944827,0.000026433441],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875987,0.00012881638,0.0005920443,0.00018092115,0.00012759119,0.00021074271],"domain_scores_gemma":[0.9981954,0.000046502344,0.0010794207,0.0005260183,0.000013525767,0.00013912396],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010039023,0.00017619375,0.00044918823,0.0000123690215,0.00020478023,0.00007443587,0.00053019664,0.00006409117,0.00014085707],"category_scores_gemma":[0.00046042725,0.00010488632,0.00018693076,0.00002804395,0.00054094626,0.00047205386,0.0001574195,0.00020651548,0.0000074327295],"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":[0.00018703911,0.0002680555,0.9640014,0.00025860203,0.000043669777,0.000005239867,0.00022928612,0.0012675828,0.000077045144,0.008031834,0.0014001168,0.024230098],"study_design_scores_gemma":[0.0005984076,0.00093494705,0.8814602,0.00008118531,0.00004571384,0.000035125875,0.00014135585,0.00010847956,0.00029013967,0.091562375,0.024513975,0.00022809896],"about_ca_topic_score_codex":0.0000959734,"about_ca_topic_score_gemma":0.000063685475,"teacher_disagreement_score":0.08353054,"about_ca_system_score_codex":0.0007824556,"about_ca_system_score_gemma":0.000029159244,"threshold_uncertainty_score":0.427714},"labels":[],"label_agreement":null},{"id":"W2615720957","doi":"10.3138/cpp.2016-040","title":"Embodied Emissions in Inputs and Outputs: A Value-Added Approach to National Emissions Accounting","year":2017,"lang":"en","type":"article","venue":"Canadian Public Policy","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":true,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Input/output; Embodied cognition; Consumption (sociology); Production (economics); National accounts; Value (mathematics); Input–output model; Economics; Natural resource economics; Environmental economics; Resource (disambiguation); Resource consumption; Accounting method; Environmental science; Econometrics; Accounting; Microeconomics; Computer science; Macroeconomics; Mathematics; Statistics","score_opus":0.02528908532625168,"score_gpt":0.2848774029957222,"score_spread":0.2595883176694705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2615720957","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6290967,0.000009811132,0.000026657495,0.024170814,0.00003341285,0.0003317247,0.00005457272,0.000018164877,0.3462582],"genre_scores_gemma":[0.99328005,0.0000035493938,0.00053724047,0.0038060623,0.000082472696,0.00004194615,0.000014584553,0.000015875812,0.0022182034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983119,0.00004833212,0.00020249527,0.00039609306,0.00029367366,0.0007475154],"domain_scores_gemma":[0.9978196,0.000025759724,0.000068295805,0.000464221,0.000010707667,0.0016114411],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005248364,0.00016826266,0.00015642888,0.000291155,0.00096054166,0.00032106863,0.00053429866,0.000118946184,0.00029200758],"category_scores_gemma":[0.0025068878,0.00016501002,0.00003684115,0.00026276722,0.0002933068,0.0006768882,0.00040283566,0.00019477782,0.00007086126],"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":[0.0000059108693,0.00015648945,0.9406083,0.000017322498,0.000011899475,0.000012132756,0.002441395,0.00010556887,0.000565534,0.025257707,0.014945228,0.015872465],"study_design_scores_gemma":[0.00028382716,0.000011649574,0.93359536,0.000009028079,0.0000023019627,0.000009481057,0.00023803095,0.0006473049,0.000021745407,0.0034665815,0.06148381,0.00023085436],"about_ca_topic_score_codex":0.22651482,"about_ca_topic_score_gemma":0.0749656,"teacher_disagreement_score":0.3641834,"about_ca_system_score_codex":0.0023954788,"about_ca_system_score_gemma":0.00079405867,"threshold_uncertainty_score":0.94191384},"labels":[],"label_agreement":null},{"id":"W2617382745","doi":"10.1111/jiec.12604","title":"Choice of Allocations and Constructs for Attributional or Consequential Life Cycle Assessment and Input‐Output Analysis","year":2017,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Coproduction; Flexibility (engineering); Life-cycle assessment; Harmonization; Economics; Computer science; Production (economics); Microeconomics; Political science; Management; Public relations","score_opus":0.06351170647752213,"score_gpt":0.3543330194679388,"score_spread":0.2908213129904167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2617382745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970306,0.000011108881,0.0004890442,0.0018785935,0.0001724198,0.00021174242,0.00004996727,0.0000014606727,0.00015502286],"genre_scores_gemma":[0.9985396,0.00002215231,0.0011780915,0.0000840392,0.00010743626,0.0000045029396,0.000004152548,0.0000035353248,0.000056448764],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989907,0.00009373636,0.00045498536,0.00013326666,0.00015911678,0.0001682032],"domain_scores_gemma":[0.9985212,0.00038718127,0.0007195772,0.00015037373,0.000037442966,0.00018421929],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006965642,0.00009065756,0.00035757682,0.00006690852,0.00029638773,0.00004108997,0.00016465945,0.0001551848,0.00057381415],"category_scores_gemma":[0.0015325802,0.000072200506,0.000087528555,0.00006894554,0.0010415018,0.0002639933,0.00016596285,0.00017623817,5.559847e-7],"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":[0.00018446032,0.00011229849,0.9947601,0.000004665987,0.000274481,0.0000045205743,0.00004181979,0.00059511536,0.00039290418,0.00017058926,0.00037867046,0.0030803757],"study_design_scores_gemma":[0.0023693985,0.00052361377,0.9943197,0.000004184057,0.0003921034,0.000030849922,0.00018805328,0.00064343144,0.0001341784,0.0005702312,0.00074762636,0.000076630124],"about_ca_topic_score_codex":0.0001919332,"about_ca_topic_score_gemma":0.0003381167,"teacher_disagreement_score":0.0030037456,"about_ca_system_score_codex":0.00022704825,"about_ca_system_score_gemma":0.00021916447,"threshold_uncertainty_score":0.62828624},"labels":[],"label_agreement":null},{"id":"W2620737138","doi":"10.1016/j.jclepro.2017.05.206","title":"LCIA framework and cross-cutting issues guidance within the UNEP-SETAC Life Cycle Initiative","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":226,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Polytechnique Montréal; Université du Québec à Montréal","funders":"Society of Environmental Toxicology and Chemistry","keywords":"Normalization (sociology); Life-cycle assessment; Weighting; Computer science; Risk analysis (engineering); Environmental resource management; Environmental planning; Environmental science; Business","score_opus":0.01863756199481648,"score_gpt":0.3231835362340974,"score_spread":0.3045459742392809,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2620737138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9911466,0.00024916756,0.00009941856,0.0067304685,0.00045569098,0.00012798185,8.3795777e-7,0.0000067352385,0.0011830758],"genre_scores_gemma":[0.99704295,0.00008507727,0.0015253902,0.0002619603,0.00061103556,0.0000016692219,1.8633192e-7,0.000010753847,0.00046094734],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988229,0.00011495309,0.0003554366,0.00018853447,0.00034937437,0.00016878151],"domain_scores_gemma":[0.9986846,0.000044402834,0.00075042184,0.00039212892,0.000028223663,0.00010021107],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016301572,0.00011553719,0.0001566949,0.00001646955,0.00081967225,0.00022527907,0.00028778453,0.00006270269,0.00013386119],"category_scores_gemma":[0.0027607852,0.000075141514,0.000054396147,0.000042678737,0.000853133,0.0013481191,0.00018063386,0.00037954905,0.000017487966],"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":[0.000132467,0.000095626696,0.9718528,0.00001865882,0.000031490195,0.000010364451,0.0056570307,0.009812375,0.0017748656,0.00008940516,0.0011743571,0.009350604],"study_design_scores_gemma":[0.00015028316,0.00011526809,0.98026055,0.00003601384,0.000020802874,0.00005982795,0.0015344546,0.00015577851,0.005947256,0.008755521,0.0028599198,0.00010429389],"about_ca_topic_score_codex":0.00008146928,"about_ca_topic_score_gemma":0.000016476995,"teacher_disagreement_score":0.009656596,"about_ca_system_score_codex":0.00013658147,"about_ca_system_score_gemma":0.000014219634,"threshold_uncertainty_score":0.6304339},"labels":[],"label_agreement":null},{"id":"W2621209496","doi":"10.1016/j.egypro.2017.03.870","title":"Carbon Footprint of Copying Paper: Considering Temporary Carbon Storage Based on Life Cycle Analysis","year":2017,"lang":"en","type":"article","venue":"Energy Procedia","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Carbon footprint; Greenhouse gas; Copying; Carbon fibers; Environmental science; Life-cycle assessment; Climate change; Environmental economics; Environmental engineering; Computer science; Natural resource economics; Production (economics); Waste management; Process engineering; Engineering","score_opus":0.00926112059943535,"score_gpt":0.22521594133669437,"score_spread":0.21595482073725902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621209496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95258284,0.000032199627,0.000043859414,0.00015234166,0.0000589566,0.00009319462,0.0000030415001,0.000033891072,0.046999674],"genre_scores_gemma":[0.99936783,0.000009671224,0.00020510718,0.00015765354,0.000032804273,0.00002059031,0.000005071599,0.00002003827,0.00018120761],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985515,0.000055486784,0.00027722688,0.00040940568,0.0003995859,0.00030682297],"domain_scores_gemma":[0.99862653,0.00006006894,0.00024974163,0.0008425779,0.0000062971126,0.00021475699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028530782,0.00020258388,0.00031633125,0.000057824014,0.00020480735,0.000039065973,0.00032950702,0.00009506975,0.00020992687],"category_scores_gemma":[0.00023038388,0.0001913016,0.00013797209,0.00014897075,0.00033949217,0.00010003746,0.0002660235,0.00012302423,0.0000020081807],"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":[0.000050228213,0.00014070513,0.9101206,0.000022829325,0.000058039226,0.000018844641,0.00016155005,0.08370946,0.004135025,0.000041559204,0.0000059344384,0.0015352087],"study_design_scores_gemma":[0.0004561798,0.00013082808,0.9082273,0.000016301743,0.00011557544,6.289573e-7,0.00017960537,0.0722905,0.017737499,0.00025712693,0.0002705058,0.00031794567],"about_ca_topic_score_codex":0.007855849,"about_ca_topic_score_gemma":0.00071209227,"teacher_disagreement_score":0.046818465,"about_ca_system_score_codex":0.0002547135,"about_ca_system_score_gemma":0.000038116785,"threshold_uncertainty_score":0.9987509},"labels":[],"label_agreement":null},{"id":"W2621663016","doi":"","title":"Project C3 - Socio-Economic and Environmental Context, Profile and Trends for B.C. and Alberta","year":2007,"lang":"en","type":"article","venue":"AUSpace (Athabasca University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Work (physics); Environmental planning; Political science; Geography; Regional science; Environmental resource management; Engineering; Environmental science; Archaeology","score_opus":0.006630794794720792,"score_gpt":0.2112054886562163,"score_spread":0.20457469386149552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2621663016","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888952,0.00006494213,0.00014046654,0.00037703154,0.00002575926,0.0004050474,0.000056996727,0.000018020255,0.010016586],"genre_scores_gemma":[0.96461225,0.00007679557,0.0006392698,0.00006720577,0.000015389109,0.0000020237014,0.000022351578,0.000014623248,0.03455007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99898124,0.000029928118,0.000101749385,0.0004448968,0.00008624954,0.00035593312],"domain_scores_gemma":[0.99945736,0.00013270024,0.0000649077,0.00015647247,9.74721e-7,0.00018758625],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020632482,0.00019199627,0.000174571,0.00009499613,0.0002752449,0.000028956785,0.00010461637,0.000100766156,0.0004580847],"category_scores_gemma":[0.000011218107,0.00020179276,0.000047614845,0.00006125447,0.00068477396,0.0005264103,0.00033485956,0.00008901838,0.000011382818],"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":[0.00029089442,0.00014650839,0.9369351,0.000034317607,0.000051292744,0.000024777231,0.005571484,0.0000023498233,0.0023895674,0.0010066298,0.0031444759,0.050402563],"study_design_scores_gemma":[0.002732273,0.0006441157,0.7705999,0.000009727222,0.000101986974,0.00004333358,0.02536644,0.00042961005,0.0013868476,0.0002426664,0.19778907,0.00065403094],"about_ca_topic_score_codex":0.003798773,"about_ca_topic_score_gemma":0.004311047,"teacher_disagreement_score":0.19464459,"about_ca_system_score_codex":0.00053598854,"about_ca_system_score_gemma":0.000008217252,"threshold_uncertainty_score":0.822887},"labels":[],"label_agreement":null},{"id":"W2623401292","doi":"10.1007/s10584-017-2002-4","title":"Long-term carbon dioxide and hydrofluorocarbon emissions from commercial space cooling and refrigeration in India: a detailed analysis within an integrated assessment modelling framework","year":2017,"lang":"en","type":"article","venue":"Climatic Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ministry of Environment; Shakti Sustainable Energy Foundation; Global Change Institute, University of the Witwatersrand, Johannesburg; Energy Foundation","keywords":"Greenhouse gas; Refrigeration; Environmental science; Electricity; Montreal Protocol; Carbon dioxide equivalent; Air conditioning; Tonne; Global warming; Environmental engineering; Waste management; Climate change; Meteorology; Engineering; Ozone layer; Ozone","score_opus":0.0378918574794778,"score_gpt":0.31160436258520924,"score_spread":0.2737125051057314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2623401292","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99585193,0.00007680678,0.0032323662,0.00015155644,0.000042167074,0.0004523878,0.000011970608,0.000019751875,0.00016104802],"genre_scores_gemma":[0.9951897,0.00010890835,0.0044651492,0.00006629203,0.000034368502,0.000052603198,0.000054900996,0.00001595919,0.0000121135345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985716,0.00015794154,0.00032022537,0.0004367721,0.00023098831,0.00028251595],"domain_scores_gemma":[0.9989198,0.000093297494,0.00022749222,0.0005430143,0.0000045153656,0.00021192073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00052149623,0.00021572314,0.00037600187,0.000080511054,0.00036561576,0.00016019262,0.00017396321,0.00017019345,0.00009243747],"category_scores_gemma":[0.00008785844,0.00019209919,0.000041269563,0.00015831777,0.00025136894,0.00049673714,0.00026681938,0.00033087406,0.0000013473955],"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":[0.000030619023,0.00010901544,0.9891155,0.000018150855,0.00003096265,0.000017462049,0.007945053,0.0006959562,0.00071096845,0.000010519637,1.6088477e-7,0.0013156635],"study_design_scores_gemma":[0.000236664,0.00004509075,0.73296,0.0000680975,0.00013252781,7.3563973e-7,0.00062965555,0.2650469,0.0001422504,0.0005796426,3.149928e-7,0.00015812268],"about_ca_topic_score_codex":0.006052742,"about_ca_topic_score_gemma":0.008397652,"teacher_disagreement_score":0.26435092,"about_ca_system_score_codex":0.00040761102,"about_ca_system_score_gemma":0.000009671338,"threshold_uncertainty_score":0.9149975},"labels":[],"label_agreement":null},{"id":"W2624010061","doi":"10.1007/s11367-017-1333-8","title":"The WULCA consensus characterization model for water scarcity footprints: assessing impacts of water consumption based on available water remaining (AWARE)","year":2017,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":793,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Polytechnique Montréal; Université de Sherbrooke","funders":"Mitacs; Hydro-Québec; Universität Kassel; Danone; European Commission; L'Oreal USA; Agence Nationale de la Recherche; U.S. Environmental Protection Agency","keywords":"Water scarcity; Scarcity; Life-cycle assessment; Environmental resource management; Water use; Environmental science; Environmental economics; Robustness (evolution); Stakeholder; Water resources; Natural resource economics; Economics; Production (economics); Ecology","score_opus":0.03628127805101604,"score_gpt":0.32675800785051645,"score_spread":0.2904767297995004,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2624010061","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98289293,0.0000021744302,0.008805912,0.007161874,0.00037609733,0.00028133573,0.000014235985,0.000005924188,0.00045951942],"genre_scores_gemma":[0.9985361,0.000017400063,0.0007285123,0.0003838972,0.00008408932,0.000011805693,0.000020091316,0.000017395925,0.00020072419],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99790263,0.0001367834,0.00061200006,0.00017510986,0.00083127257,0.00034222865],"domain_scores_gemma":[0.9986954,0.00016748346,0.00048701235,0.00042471956,0.000113643924,0.00011178759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026608545,0.00016488563,0.00020762654,0.000042147163,0.00070740446,0.00037237725,0.00081520475,0.000055536453,0.00037391315],"category_scores_gemma":[0.00012910001,0.00007145887,0.00016009138,0.000008259189,0.00037593814,0.00049073464,0.0003162223,0.00020693429,0.000028854047],"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":[0.0011192556,0.00047927588,0.23780449,0.000036868863,0.00021204093,0.000013115513,0.001114439,0.08628936,0.6695254,0.00008037023,0.00023308716,0.0030923272],"study_design_scores_gemma":[0.0017018354,0.00018707187,0.30617285,0.000079238496,0.000056819234,0.000017223592,0.0002250854,0.50128376,0.18819298,0.0013863344,0.0005050699,0.00019172221],"about_ca_topic_score_codex":0.00006276392,"about_ca_topic_score_gemma":0.000016244241,"teacher_disagreement_score":0.4813324,"about_ca_system_score_codex":0.0006282581,"about_ca_system_score_gemma":0.000057700323,"threshold_uncertainty_score":0.54408544},"labels":[],"label_agreement":null},{"id":"W2625113757","doi":"","title":"How a policy requiring all highways infrastructure projects to consider climate change was born","year":2015,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Climate change; Critical infrastructure; Transportation infrastructure; Environmental planning; Business; Transport infrastructure; Environmental resource management; Transport engineering; Geography; Computer science; Engineering; Economics; Computer security","score_opus":0.045139901810961974,"score_gpt":0.2881581617899051,"score_spread":0.24301825997894314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625113757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95627296,0.00003943687,0.0000063311354,0.0039879186,0.00016358233,0.00076496793,0.000015483796,0.00022690113,0.0385224],"genre_scores_gemma":[0.9945799,0.000017256432,0.0022928158,0.0024940255,0.00029350052,0.0000639726,0.000012889181,0.000048362894,0.00019728106],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99719226,0.00009815515,0.00034086464,0.00062765664,0.00061646744,0.0011245968],"domain_scores_gemma":[0.9983764,0.00007857247,0.00019076676,0.0005241085,0.00001982046,0.0008103167],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008148906,0.0003673576,0.00029766446,0.000091700604,0.00018042274,0.00021436471,0.00034525595,0.00017984922,0.000008170018],"category_scores_gemma":[0.0011572913,0.00033144432,0.00007915234,0.00029873583,0.00021685864,0.00077386654,0.0006758015,0.00031295963,0.0003286332],"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":[0.0001229098,0.00021813123,0.9457402,0.00010969547,0.000032590167,0.00018531807,0.016731871,0.008361285,0.007316876,0.00017666162,0.012168193,0.0088362675],"study_design_scores_gemma":[0.00083208655,0.00031409174,0.95171916,0.00009881068,0.000033314525,0.0000661534,0.0037345327,0.00025622477,0.0029113833,0.0010374964,0.038223363,0.00077335304],"about_ca_topic_score_codex":0.012184244,"about_ca_topic_score_gemma":0.0031085522,"teacher_disagreement_score":0.03832512,"about_ca_system_score_codex":0.0010550879,"about_ca_system_score_gemma":0.00004754863,"threshold_uncertainty_score":0.99991375},"labels":[],"label_agreement":null},{"id":"W2625702899","doi":"","title":"The Carbon City Index (CCI): A Consumption Based, Regional Input-Output Analysis of Carbon Emissions","year":2015,"lang":"en","type":"article","venue":"University of Southern Denmark Research Portal (University of Southern Denmark)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Syddansk Universitet; Science Foundation Ireland; Statens Naturvidenskabelige Forskningsrad; National Science Foundation","keywords":"Index (typography); Consumption (sociology); Carbon fibers; Greenhouse gas; Environmental science; Natural resource economics; Economics; Computer science","score_opus":0.04529332599212607,"score_gpt":0.26372407287163574,"score_spread":0.21843074687950967,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625702899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97897667,0.00007681543,0.00015163085,0.0002640836,0.000021400698,0.00041485045,0.00026295765,0.00001923025,0.01981235],"genre_scores_gemma":[0.99050605,0.000056453264,0.0001796233,0.000008734889,0.000009927196,1.9973758e-7,0.000034132154,0.000017749173,0.009187134],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.995833,0.00071605825,0.00031985025,0.00057423016,0.0019301965,0.0006266963],"domain_scores_gemma":[0.9974764,0.00038155087,0.00048360517,0.00088101986,0.00021808741,0.0005593409],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025334614,0.00026284537,0.00054268306,0.00048306165,0.0005621528,0.000016877517,0.0012119825,0.00028052912,0.0045483788],"category_scores_gemma":[0.0001903539,0.00027002633,0.00043997375,0.0015303412,0.004112289,0.00014768507,0.00092977093,0.0005466436,0.00013239284],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012046954,0.0003754126,0.9833383,0.00004085945,0.00047787747,0.00008257215,0.010694517,0.0014593485,0.0006303892,0.00002104528,0.0004766118,0.0011983936],"study_design_scores_gemma":[0.0035101888,0.00047981567,0.4318942,0.00011241253,0.0011032514,0.0000075386583,0.52706826,0.03033974,0.00015687034,0.00064118614,0.003951995,0.00073452824],"about_ca_topic_score_codex":0.03520346,"about_ca_topic_score_gemma":0.013413548,"teacher_disagreement_score":0.55144405,"about_ca_system_score_codex":0.00048433672,"about_ca_system_score_gemma":0.00025711098,"threshold_uncertainty_score":0.9999752},"labels":[],"label_agreement":null},{"id":"W2625835535","doi":"10.5071/19theubce2011-od3.5","title":"IEA Bioenergy Task 40 - Global Wood Pellets and Woodchips Market and Ttrade Study: Preliminary Results","year":2011,"lang":"en","type":"article","venue":"ETA Florence","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Woodchips; Bioenergy; Pellets; Environmental science; Natural resource economics; Business; Task (project management); Pulp and paper industry; Biofuel; Waste management; Agricultural economics; Economics; Engineering; Materials science","score_opus":0.017090816933819423,"score_gpt":0.2242685841426834,"score_spread":0.207177767208864,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2625835535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9728928,0.000206829,0.000021989546,0.00018736957,0.00008286111,0.00035994087,0.00005199633,0.000037885544,0.026158312],"genre_scores_gemma":[0.9984072,0.00009618397,0.0007228569,0.00011039197,0.000021970154,0.000016467082,0.0000053326858,0.00001061357,0.00060896913],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982378,0.00015777392,0.00026264216,0.0006348105,0.0002949128,0.00041207633],"domain_scores_gemma":[0.9991539,0.000046475045,0.00007550589,0.00044362422,0.0000029144521,0.0002775556],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044098124,0.00024301806,0.00019419668,0.000018465222,0.00018789679,0.000038949176,0.0002613351,0.00008405726,0.0008121175],"category_scores_gemma":[0.00008777519,0.00021192832,0.000032246964,0.00016284961,0.0006987176,0.0003468881,0.00062234944,0.00014344677,0.000045618144],"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":[0.0016306641,0.001092145,0.9500161,0.000026886039,0.00003761047,0.00016703992,0.011054006,0.000013972817,0.0003904929,0.000039420764,0.0039095883,0.031622086],"study_design_scores_gemma":[0.00071791006,0.0011197361,0.99315095,0.000008375923,0.000027878958,0.000036821664,0.0021141032,0.00019059473,0.00018065736,0.00080105016,0.0013926638,0.00025927697],"about_ca_topic_score_codex":0.0009147412,"about_ca_topic_score_gemma":0.00030295196,"teacher_disagreement_score":0.043134846,"about_ca_system_score_codex":0.00013706283,"about_ca_system_score_gemma":0.000009868331,"threshold_uncertainty_score":0.8892117},"labels":[],"label_agreement":null},{"id":"W2738411702","doi":"10.1111/jiec.12640","title":"Coupling Input‐Output Tables with Macro‐Life Cycle Assessment to Assess Worldwide Impacts of Biofuels Transport Policies","year":2017,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Hydro-Québec","keywords":"Biofuel; Greenhouse gas; Life-cycle assessment; Natural resource economics; Context (archaeology); Climate change; European union; Fossil fuel; Production (economics); Economics; Industrial ecology; Environmental economics; Environmental science; Sustainability; Engineering; Ecology; Macroeconomics; Economic policy; Waste management","score_opus":0.03752540325813324,"score_gpt":0.3113674931355269,"score_spread":0.27384208987739367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2738411702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956305,0.000009382569,0.00019869948,0.0019297864,0.0003129751,0.0003352103,0.000021952279,0.000005796861,0.001555701],"genre_scores_gemma":[0.998432,0.000020705547,0.0009711651,0.00022346669,0.00019180986,0.000004833604,0.0000017593967,0.00001856616,0.00013572075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979742,0.00007573558,0.0007604166,0.00020676706,0.0004779252,0.0005049433],"domain_scores_gemma":[0.9978431,0.00014676993,0.0010762752,0.00040726003,0.000039398787,0.00048721855],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012449418,0.00021842022,0.00061861245,0.00011467316,0.0002985816,0.0000626607,0.00066046976,0.00021632976,0.0009009049],"category_scores_gemma":[0.0004593403,0.00016511949,0.00013149004,0.00013809044,0.0005479727,0.0006148997,0.00019828233,0.0004886307,0.000008249697],"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":[0.0003744425,0.0002842969,0.9689201,0.000009793179,0.00007423466,0.000060146645,0.00028319625,0.02436677,0.0035240748,0.00001824275,0.0002724479,0.0018122654],"study_design_scores_gemma":[0.0018988602,0.001369391,0.9915434,0.000048347665,0.00007852928,0.000042137966,0.00080219307,0.00011622359,0.0028422798,0.00022797468,0.00083774375,0.00019292513],"about_ca_topic_score_codex":0.0015435981,"about_ca_topic_score_gemma":0.0013086327,"teacher_disagreement_score":0.024250546,"about_ca_system_score_codex":0.00070805685,"about_ca_system_score_gemma":0.00031264103,"threshold_uncertainty_score":0.98642766},"labels":[],"label_agreement":null},{"id":"W2739383843","doi":"","title":"Economic impacts of climate change on agricultural crops in Canada by 2051: A global multi-regional CGE model analysis","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Agriculture; Climate change; Index (typography); Agricultural economics; Scopus; Publication; Economics; Natural resource economics; Regional science; Political science; Geography; Macroeconomics; Computer science; MEDLINE; Oceanography; Law","score_opus":0.15232348379811042,"score_gpt":0.48994369458850867,"score_spread":0.3376202107903983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2739383843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964101,0.0004962743,0.0000083692175,0.0001901105,0.00008192132,0.0003985921,0.0004915705,0.000004451988,0.0019186358],"genre_scores_gemma":[0.9975932,0.0020038784,0.00007509566,0.00020067634,0.000020347194,0.000022959553,0.000023008315,0.000013276318,0.000047547353],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764943,0.00012245627,0.0006677086,0.0004544079,0.0005472696,0.00055870373],"domain_scores_gemma":[0.99798596,0.000052604348,0.0009465491,0.00062236417,0.00001554938,0.00037695185],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005818196,0.00031447248,0.0007197716,0.00011593278,0.00029364327,0.00036637948,0.0022509631,0.00008172917,0.0039692875],"category_scores_gemma":[0.00006804373,0.00025548224,0.00022200853,0.00028212834,0.00028473468,0.002472794,0.0012086718,0.00021148342,0.000011682415],"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":[0.000117464166,0.00023701161,0.97882,0.000017317097,0.00009848029,0.000012173662,0.00013205955,0.013325373,0.0029513084,0.0000055640107,0.003065303,0.0012179269],"study_design_scores_gemma":[0.0005190736,0.000009660113,0.9916027,0.000042807,0.000081507154,0.0000021631745,0.00018386278,0.005950739,0.0010809741,0.00018025373,0.000052306976,0.0002939565],"about_ca_topic_score_codex":0.91437143,"about_ca_topic_score_gemma":0.8861632,"teacher_disagreement_score":0.028208256,"about_ca_system_score_codex":0.0036274802,"about_ca_system_score_gemma":0.0001339455,"threshold_uncertainty_score":0.99998975},"labels":[],"label_agreement":null},{"id":"W2740586890","doi":"","title":"Strategic importance of green water in international crop trade","year":2008,"lang":"en","type":"article","venue":"University of Twente Research Information","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"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":"Virtual water; Food security; International trade and water; Business; Water security; Water resources; Agriculture; Farm water; Water use; Water conservation; Water supply; Productivity; Water trading; Environmental science; Water scarcity; Agricultural economics; Natural resource economics; International trade; Economics; Trade barrier; Agronomy; Environmental engineering; Geography; Ecology","score_opus":0.038610359318083085,"score_gpt":0.2664348307075863,"score_spread":0.22782447138950318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2740586890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752062,0.0000018224207,0.000028834615,0.00038429772,0.000011143285,0.00012453398,0.000008115099,0.000003601632,0.024231471],"genre_scores_gemma":[0.9993859,0.00004291987,0.00012798782,0.0000093015215,0.0000021494086,1.3361368e-7,0.000024557656,0.0000011144796,0.00040592076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991361,0.000046248886,0.00014400024,0.000060660997,0.00044559283,0.00016738022],"domain_scores_gemma":[0.9997691,0.000012960253,0.000046699883,0.000111771995,0.000012521432,0.0000469726],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00043419382,0.000040312316,0.00006730141,0.00011085706,0.000066788714,0.0000032256626,0.00023196463,0.000035810277,0.0013240933],"category_scores_gemma":[0.000014207591,0.00003746961,0.000030562267,0.00012929658,0.00043207977,0.0011140143,0.00017544847,0.00011811005,0.000054942557],"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":[0.00015908346,0.00018780399,0.98035353,0.000041490995,0.000008776911,0.000016165059,0.012751479,0.0014150393,0.0030065426,0.00015077913,0.0004592402,0.0014500477],"study_design_scores_gemma":[0.00069927284,0.0001054907,0.9799713,0.000009070839,0.0000013802545,0.000004742998,0.008868492,0.0024533991,0.003320493,0.00051620934,0.0039781197,0.00007204969],"about_ca_topic_score_codex":0.0034926275,"about_ca_topic_score_gemma":0.00028082723,"teacher_disagreement_score":0.024179734,"about_ca_system_score_codex":0.00034542833,"about_ca_system_score_gemma":0.0000149250345,"threshold_uncertainty_score":0.99958885},"labels":[],"label_agreement":null},{"id":"W2751454170","doi":"10.5772/intechopen.69339","title":"Assessing the Possible Potential in Energy Consumption and Greenhouse Gas Emission: Application of a Proven Hybrid Method","year":2017,"lang":"en","type":"book-chapter","venue":"InTech eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Energy consumption; Greenhouse; Environmental economics; Data envelopment analysis; Engineering; Energy (signal processing); Index (typography); Consumption (sociology); Operations research; Computer science; Economics; Mathematics; Mathematical optimization","score_opus":0.0177577672878104,"score_gpt":0.29647420225938786,"score_spread":0.27871643497157744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751454170","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29144526,0.00039994132,0.06610112,0.00036256816,0.0001690141,0.0024391238,0.000037750055,0.00010594999,0.63893926],"genre_scores_gemma":[0.95257556,0.000052878455,0.000995979,0.0000440868,0.000027674329,0.00003863169,0.000006271631,0.000030352001,0.046228547],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99880034,0.00005536174,0.00031784654,0.0003767737,0.00026832154,0.00018134624],"domain_scores_gemma":[0.9989299,0.000057011373,0.00035651584,0.00057838316,0.00000745421,0.000070741444],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045898758,0.00022113006,0.00025479938,0.000047162957,0.00015658332,0.00007201608,0.00029882792,0.00017445174,0.00017025691],"category_scores_gemma":[0.000029405615,0.00016756554,0.0000776731,0.0000049267337,0.00067008816,0.00014685666,0.00041350024,0.0002820199,0.000008228363],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006585494,0.00006011531,0.0055859485,0.00009958207,0.000028234283,0.00003520664,0.00031420894,0.00001660424,0.12349972,0.00062595686,0.000052498082,0.8696161],"study_design_scores_gemma":[0.0019527648,0.00054445094,0.0456552,0.00085280364,0.0003315015,0.00038246045,0.00035801536,0.006371661,0.4925782,0.38775128,0.061424494,0.0017971663],"about_ca_topic_score_codex":0.0011755048,"about_ca_topic_score_gemma":0.00016595767,"teacher_disagreement_score":0.8678189,"about_ca_system_score_codex":0.00026150775,"about_ca_system_score_gemma":0.000022150225,"threshold_uncertainty_score":0.6833125},"labels":[],"label_agreement":null},{"id":"W2751683033","doi":"10.18331/brj2017.4.3.2","title":"Beyond the conventional “life cycle” assessment","year":2017,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Product (mathematics); Supply chain; Business; Consumption (sociology); Service (business); Environmental economics; Resource depletion; Resource (disambiguation); Product lifecycle; Process (computing); Risk analysis (engineering); Environmental impact assessment; Environmental resource management; Environmental planning; Natural resource economics; Computer science; Marketing; Environmental science; New product development; Economics; Production (economics); Political science; Ecology","score_opus":0.0582948339709893,"score_gpt":0.41163894580932187,"score_spread":0.3533441118383326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751683033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86476696,0.0000677447,0.00013655573,0.013320112,0.00023446206,0.0002407427,0.00000656712,0.000007217326,0.12121962],"genre_scores_gemma":[0.9954855,0.00012240115,0.00040513166,0.00022964693,0.0002499266,0.000013157046,0.0000015058,0.000010751245,0.0034819655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968796,0.0004237564,0.00022989657,0.00022151903,0.0015973517,0.00064788875],"domain_scores_gemma":[0.99855256,0.00012950439,0.00013548079,0.0006696676,0.000032021315,0.00048073984],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005388019,0.00011192127,0.000107919004,0.000036425503,0.0043195197,0.00078859704,0.0012468619,0.000064215055,0.013198388],"category_scores_gemma":[0.00077486085,0.00006920509,0.00012243481,0.00007071677,0.0020145269,0.00062383,0.0009634201,0.0010053746,0.0006333089],"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":[0.000054148222,0.00032173653,0.95335764,0.00000905612,0.00003639356,0.00006724485,0.00018578334,0.000071446564,0.0018837774,0.0017223776,0.02129656,0.02099384],"study_design_scores_gemma":[0.00039344613,0.00010168781,0.93408567,0.0000044625976,0.000004157505,0.000054830125,0.0005464953,0.00035362312,0.00007959402,0.043388013,0.020899277,0.00008873862],"about_ca_topic_score_codex":0.0002047609,"about_ca_topic_score_gemma":0.00006208156,"teacher_disagreement_score":0.13071854,"about_ca_system_score_codex":0.0007058481,"about_ca_system_score_gemma":0.00012855777,"threshold_uncertainty_score":0.99697673},"labels":[],"label_agreement":null},{"id":"W2751898006","doi":"10.1007/978-3-319-56475-3_5","title":"LCA and Sustainability","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Sustainability; Business; Environmental science; Ecology; Biology","score_opus":0.008543812950123372,"score_gpt":0.23662569907690967,"score_spread":0.2280818861267863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2751898006","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0037073824,0.000083573774,0.000031283715,0.00045750063,0.000046237557,0.00045573246,0.000009652478,0.000043353448,0.9951653],"genre_scores_gemma":[0.1242815,0.00009633936,0.00009969418,0.00013028187,0.000030033752,0.0000058784535,0.0000071892587,0.00002913085,0.87531996],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99863994,0.000012550892,0.00020136329,0.0005573458,0.00027982387,0.00030894644],"domain_scores_gemma":[0.9986701,0.000030153158,0.00012430898,0.00094048446,0.000006785143,0.00022816441],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027091513,0.00032353,0.00029313404,0.000019399304,0.00029109407,0.0000728732,0.000285593,0.00028616717,0.020810701],"category_scores_gemma":[0.0000838297,0.00027696087,0.0001025929,0.0000036005715,0.0013928779,0.00024110929,0.0008797814,0.00028030324,0.00046622465],"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":[0.00018469388,0.0003014241,0.3902261,0.00064049324,0.00016278862,0.0004130417,0.0012713191,0.00004683445,0.000048228514,0.19498149,0.054384887,0.35733873],"study_design_scores_gemma":[0.00017299781,0.000094739684,0.066165715,0.000008926979,0.00003538582,0.000013245565,0.00005383557,0.000019700065,0.00001529446,0.26714012,0.66579336,0.00048666372],"about_ca_topic_score_codex":0.00038526102,"about_ca_topic_score_gemma":0.00020354356,"teacher_disagreement_score":0.6114085,"about_ca_system_score_codex":0.000843403,"about_ca_system_score_gemma":0.000022253844,"threshold_uncertainty_score":0.99996823},"labels":[],"label_agreement":null},{"id":"W2752980628","doi":"10.1007/978-3-319-56475-3_39","title":"Illustrative Case Study: Life Cycle Assessment of Four Window Alternatives","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Window (computing); Therapeutic window; Life-cycle assessment; Computer science; Economics; Medicine; World Wide Web; Macroeconomics","score_opus":0.036247586411238784,"score_gpt":0.3225650822853573,"score_spread":0.28631749587411853,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2752980628","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.31100073,0.000010777979,0.00007795042,0.000051121624,0.000068654335,0.00089646527,0.00003340803,0.000018632125,0.68784225],"genre_scores_gemma":[0.69553304,0.000016172035,0.00030818995,0.000039362574,0.000035578418,0.000013177326,0.000003777048,0.0000280751,0.30402264],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979522,0.000063327505,0.00045475332,0.0005878305,0.0006519119,0.00028996525],"domain_scores_gemma":[0.9981893,0.00007415562,0.0005095903,0.00094755733,0.000012613143,0.00026678515],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004003717,0.00043186184,0.00055432454,0.000042605137,0.00025758825,0.00004910046,0.00044718347,0.00017456662,0.01326334],"category_scores_gemma":[0.000042567364,0.0003576183,0.00019248456,0.000010017151,0.00091998436,0.00034453443,0.0007076876,0.0003767246,0.000102948194],"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":[0.00019898562,0.0051107933,0.8501551,0.00031148668,0.0023951468,0.03177601,0.01752579,0.0053379238,0.00047757017,0.015027646,0.0024655845,0.06921797],"study_design_scores_gemma":[0.0044531296,0.0049937353,0.9152188,0.00014714236,0.0007217341,0.0010425237,0.0248457,0.0017734816,0.00023468825,0.027523115,0.015729869,0.003316113],"about_ca_topic_score_codex":0.0029633322,"about_ca_topic_score_gemma":0.0016540234,"teacher_disagreement_score":0.3845323,"about_ca_system_score_codex":0.0005624641,"about_ca_system_score_gemma":0.00005612854,"threshold_uncertainty_score":0.9998876},"labels":[],"label_agreement":null},{"id":"W2757342592","doi":"","title":"Forest Harvest Effects on Dissolved Organic Carbon (DOC): Illuminating Flowpaths and Flux Through DOC Chemistry and Composition","year":2014,"lang":"en","type":"article","venue":"2014 AGU Fall Meeting","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dissolved organic carbon; Composition (language); Chemistry; Environmental chemistry; Carbon flux; Flux (metallurgy); Carbon fibers; Environmental science; Organic chemistry; Ecology; Materials science; Ecosystem","score_opus":0.0034285028356725593,"score_gpt":0.20260678813977578,"score_spread":0.19917828530410323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2757342592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878345,0.000056392564,0.00007594324,0.00014217138,0.00006199783,0.00026283858,0.0000017951005,0.00005309196,0.011511263],"genre_scores_gemma":[0.9986615,0.000017636205,0.0008119754,0.00015338417,0.00010251943,0.000014692845,0.00001489705,0.000027934897,0.00019541434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857605,0.0001169754,0.0002132936,0.00046548556,0.00024409771,0.00038410988],"domain_scores_gemma":[0.9992214,0.00025648592,0.00010824689,0.00025572855,0.0000045470947,0.00015360636],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043659972,0.00024314648,0.00022066332,0.000008731925,0.0002787818,0.00007541107,0.000117357624,0.00010740575,0.00004236042],"category_scores_gemma":[0.00021561836,0.0002241978,0.00003546729,0.000063003514,0.00025170782,0.00023240686,0.00026321437,0.00019551672,0.000027856915],"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":[0.000016624868,0.00005997384,0.60214514,0.00015402469,0.0000064312644,0.000005927793,0.0007830678,0.000091472786,0.3937963,0.000015550178,0.000056777106,0.0028687033],"study_design_scores_gemma":[0.00074389967,0.00022471642,0.87207955,0.00017897644,0.000040132632,0.000018359433,0.00040762255,0.009406074,0.115565605,0.00059742987,0.00026925863,0.00046838628],"about_ca_topic_score_codex":0.0010285176,"about_ca_topic_score_gemma":0.000260006,"teacher_disagreement_score":0.27823067,"about_ca_system_score_codex":0.00021484595,"about_ca_system_score_gemma":0.0000036266492,"threshold_uncertainty_score":0.91425216},"labels":[],"label_agreement":null},{"id":"W2759030807","doi":"10.2172/816074","title":"Energy star product specification development framework: Using data and analysis to make program decisions","year":2003,"lang":"en","type":"report","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"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":"Natural Resources Canada; LG Electronics; Lawrence Berkeley National Laboratory; U.S. Environmental Protection Agency","keywords":"New product development; Product (mathematics); Process (computing); Agency (philosophy); Government (linguistics); Business; Process management; Computer science; Marketing","score_opus":0.1058915289570757,"score_gpt":0.36352511577740393,"score_spread":0.2576335868203282,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759030807","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6700705,0.0014743864,0.2293923,0.000548709,0.0007478742,0.0050019235,0.00033906987,0.00032415058,0.09210105],"genre_scores_gemma":[0.13523662,0.0010375348,0.8433017,0.00024829435,0.00012098864,0.00012636914,0.0016299901,0.00008677482,0.018211683],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99580526,0.00010460449,0.00068017875,0.0015406763,0.001327631,0.00054162554],"domain_scores_gemma":[0.99701166,0.00006924322,0.00021947389,0.0022640289,0.00003015004,0.00040541845],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001387761,0.00041348708,0.0005164382,0.00020019105,0.00028034308,0.00014603595,0.00062832475,0.0002397971,0.0027212682],"category_scores_gemma":[0.0005512664,0.0003545519,0.00008510437,0.001167905,0.00019742105,0.00020390368,0.0015487964,0.00025302242,0.000041899013],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000016133632,0.00067089323,0.22086239,0.00002489004,0.00047639912,0.000017286286,0.00030338872,0.00042438673,0.0001009983,0.000012940123,0.005289794,0.7718005],"study_design_scores_gemma":[0.000049490347,0.000037691472,0.27743918,0.00002286673,0.00046290577,0.000014459231,0.00018840769,0.00070710975,0.00026836083,0.0001325662,0.7200909,0.00058602256],"about_ca_topic_score_codex":0.00143208,"about_ca_topic_score_gemma":0.0015193112,"teacher_disagreement_score":0.7712145,"about_ca_system_score_codex":0.0021085618,"about_ca_system_score_gemma":0.00023226216,"threshold_uncertainty_score":0.9998906},"labels":[],"label_agreement":null},{"id":"W2759234195","doi":"10.1007/s11367-017-1400-1","title":"Assessing the individual and combined effects of uncertainty and variability sources in comparative LCA of pavements","year":2017,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":60,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Sciences and Engineering Research Council of Canada; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Monte Carlo method; Uncertainty analysis; Life-cycle assessment; Computer science; Asphalt; Probability distribution; Midpoint; Scenario analysis; Environmental science; Statistics; Production (economics); Mathematics; Simulation","score_opus":0.02512602167572071,"score_gpt":0.35069323314921197,"score_spread":0.32556721147349127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2759234195","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767125,0.000029480776,0.00010490553,0.001369841,0.00010269285,0.00017671575,0.000004062399,8.564611e-7,0.0005401794],"genre_scores_gemma":[0.99961317,0.000029297367,0.00023837587,0.00008795475,0.000019055895,0.0000027977642,6.7599717e-7,0.0000028184036,0.0000058629275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853927,0.00026039258,0.000409329,0.00009725366,0.00059444044,0.00009928823],"domain_scores_gemma":[0.99842405,0.0005630073,0.00074300467,0.00018804507,0.000027997794,0.000053904314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019227231,0.000089247806,0.00021723668,0.000024817742,0.00013396313,0.00010924026,0.00059066457,0.000024917977,0.000039735743],"category_scores_gemma":[0.00025625742,0.000050841394,0.000043050473,0.000025861924,0.0008850697,0.0004235517,0.0005160926,0.000168356,1.8325503e-7],"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":[0.00005991463,0.00027532145,0.9913123,0.00001602822,0.00010814512,0.0000034239301,0.0020548282,0.0016555176,0.0019446795,0.00021037283,0.000014245221,0.0023452176],"study_design_scores_gemma":[0.0009564747,0.00014619694,0.9891986,0.000046818874,0.000027585225,0.000004482024,0.0019588366,0.001769352,0.0010330928,0.004795125,0.000016626986,0.00004677699],"about_ca_topic_score_codex":0.00044554818,"about_ca_topic_score_gemma":0.000045186796,"teacher_disagreement_score":0.0045847525,"about_ca_system_score_codex":0.00015748093,"about_ca_system_score_gemma":0.00003830408,"threshold_uncertainty_score":0.32610762},"labels":[],"label_agreement":null},{"id":"W2765273187","doi":"10.5539/enrr.v7n4p17","title":"The Brazilian Electricity Supply for 2030: A Projection Based on Economic, Environmental and Technical Criteria","year":2017,"lang":"en","type":"article","venue":"Environment and Natural Resources Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Greenhouse gas; Life-cycle assessment; Electricity; Hydropower; Renewable energy; Electricity generation; Environmental economics; Environmental science; Natural resource economics; Climate change; Cost of electricity by source; Business; Environmental resource management; Environmental protection; Production (economics); Economics; Engineering","score_opus":0.0170745574025839,"score_gpt":0.3261984983636609,"score_spread":0.309123940961077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2765273187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99400526,0.00034139777,0.000016731501,0.0024974344,0.00005320942,0.001258717,0.0000296671,0.000016861975,0.001780694],"genre_scores_gemma":[0.99584776,0.0006550157,0.0002269698,0.00008014852,0.00008769403,0.00017942257,0.000012638685,0.00002524787,0.0028851184],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99756503,0.00021335064,0.00023169185,0.0006841538,0.0005665089,0.00073926133],"domain_scores_gemma":[0.9984771,0.0005183056,0.000096216565,0.00068092893,0.0000015863835,0.00022589],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0017336603,0.0002440832,0.00018397755,0.00005832287,0.0035871116,0.0004416758,0.0005050467,0.00014200214,0.00053019717],"category_scores_gemma":[0.00016543613,0.00017247071,0.000081813756,0.000024123045,0.0024941515,0.00029917774,0.00067903375,0.0005389578,0.00009969355],"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":[0.0031242643,0.00051898404,0.6881021,0.00004876205,0.000042039923,0.000015947506,0.000578722,0.000113752496,0.06421622,0.00015109465,0.0066630067,0.23642512],"study_design_scores_gemma":[0.0008273249,0.0007519818,0.8843414,0.000006479277,0.000010171396,0.000008107847,0.00017410476,0.01059742,0.0021772296,0.0005994971,0.100261904,0.00024435463],"about_ca_topic_score_codex":0.00019270764,"about_ca_topic_score_gemma":0.000105660045,"teacher_disagreement_score":0.23618075,"about_ca_system_score_codex":0.0008340565,"about_ca_system_score_gemma":0.000008663389,"threshold_uncertainty_score":0.9977101},"labels":[],"label_agreement":null},{"id":"W2766209715","doi":"10.1016/j.jclepro.2017.10.189","title":"Ecological Footprint assessment for targeting climate change mitigation in cities: A case study of 15 Canadian cities according to census metropolitan areas","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":75,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Carbon footprint; Ecological footprint; Metropolitan area; Consumption (sociology); Population; Footprint; Geography; Energy consumption; Renewable energy; Electricity; Natural resource economics; Environmental resource management; Greenhouse gas; Environmental science; Sustainability; Ecology; Economics; Engineering","score_opus":0.04098258993135052,"score_gpt":0.33231131836841604,"score_spread":0.29132872843706553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766209715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744517,0.000007822339,0.00001779941,0.0010145551,0.00031990628,0.0008352116,0.000007154428,0.000003464419,0.0003489202],"genre_scores_gemma":[0.9986153,0.000009105866,0.0010614971,0.000030375017,0.00021830884,0.000033717362,0.0000013100197,0.000009992249,0.000020388214],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863434,0.000111745256,0.00047848516,0.00020232466,0.00025550937,0.00031757302],"domain_scores_gemma":[0.99907196,0.00003310221,0.00045120856,0.0002223281,0.00004062841,0.00018076146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016278612,0.00011569359,0.00024175309,0.00014263736,0.0003801806,0.000057436486,0.00016270223,0.000047049834,0.00003583917],"category_scores_gemma":[0.00049297215,0.000099294644,0.000065186316,0.000066556015,0.00010897792,0.00043817048,0.000109830595,0.00015982347,6.0688046e-7],"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":[0.00007608559,0.00031593163,0.985898,0.000032730662,0.000013322086,0.0001441635,0.003546899,0.0016303307,0.00076963723,0.000021478989,0.00004959997,0.00750178],"study_design_scores_gemma":[0.00043759277,0.0009439794,0.7974231,0.000023185075,0.000025330773,0.00016459113,0.19963177,0.000108374865,0.00067813206,0.00032062657,0.00013431624,0.00010897084],"about_ca_topic_score_codex":0.048297875,"about_ca_topic_score_gemma":0.07322167,"teacher_disagreement_score":0.19608486,"about_ca_system_score_codex":0.0027279926,"about_ca_system_score_gemma":0.000024943103,"threshold_uncertainty_score":0.9580396},"labels":[],"label_agreement":null},{"id":"W2766425923","doi":"10.1139/er-2017-0060","title":"A critical analysis of the carbon neutrality assumption in life cycle assessment of forest bioenergy systems","year":2017,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Northwest A and F University","keywords":"Carbon neutrality; Bioenergy; Greenhouse gas; Life-cycle assessment; Climate change; Environmental science; Carbon accounting; Carbon cycle; Climate change mitigation; Natural resource economics; Environmental resource management; Biofuel; Ecology; Ecosystem; Economics; Production (economics)","score_opus":0.02324377520046948,"score_gpt":0.32899510731350584,"score_spread":0.30575133211303634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766425923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958747,0.00071554043,0.00004842363,0.00014669745,0.000105143255,0.0005564903,0.000018476667,0.000003591229,0.00253091],"genre_scores_gemma":[0.99895734,0.00076833705,0.00008109975,0.00004017927,0.000011988218,0.000055778022,0.0000063009097,0.000010907337,0.000068047666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99747515,0.00044770757,0.000805848,0.00037500888,0.0005984479,0.00029784115],"domain_scores_gemma":[0.9979454,0.000056119607,0.00053839595,0.0013211722,8.863549e-7,0.00013800463],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014041231,0.00020925995,0.0006627331,0.000051758627,0.00014994196,0.000028368533,0.00060967065,0.000093658535,0.00025736506],"category_scores_gemma":[0.0003202575,0.0001491187,0.0003598144,0.00017881872,0.0010722005,0.00026800905,0.000511025,0.00016820444,0.000008420684],"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":[0.0000069824473,0.00032022974,0.98896235,0.00004353637,0.000039612474,0.0000011961954,0.0000899822,0.0048973146,0.004191364,0.000075342934,0.000006808813,0.0013652567],"study_design_scores_gemma":[0.00017990408,0.00004700793,0.9829277,0.00004147239,0.00024590638,6.2618074e-7,0.00012151427,0.015124619,0.0002193146,0.00007308833,0.000881881,0.00013698368],"about_ca_topic_score_codex":0.003938896,"about_ca_topic_score_gemma":0.0010973493,"teacher_disagreement_score":0.010227304,"about_ca_system_score_codex":0.0007733666,"about_ca_system_score_gemma":0.000011635697,"threshold_uncertainty_score":0.60808843},"labels":[],"label_agreement":null},{"id":"W2766716361","doi":"","title":"Local Material and Energy Flow Analysis for the Region of Waterloo, Ontario, Canada","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Material flow analysis; Geography; Environmental science; Regional science; Engineering; Waste management","score_opus":0.005682191265324542,"score_gpt":0.17404780043437443,"score_spread":0.16836560916904988,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2766716361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99890345,0.000019881674,0.00011734603,0.00022920317,0.00015204602,0.00016891844,0.00007987098,0.00000469352,0.00032460233],"genre_scores_gemma":[0.6581983,0.00003480281,0.000123078,0.0000078373905,0.0000073418796,8.0979015e-7,0.00028731284,0.000008396038,0.34133214],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9989741,0.000037744463,0.0001305928,0.0003215524,0.00028946082,0.00024653733],"domain_scores_gemma":[0.9991165,0.000032994445,0.00028081922,0.00045763116,0.000018788529,0.00009328131],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001045102,0.00020154801,0.00040420523,0.000055521647,0.00036730172,0.000018941044,0.00041889967,0.00016999985,0.0011747385],"category_scores_gemma":[0.0000065398203,0.00017149397,0.0001772196,0.00006926433,0.00041382352,0.00017102345,0.00011523778,0.00008999109,8.1903266e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0070242705,0.0006292717,0.3681012,0.0013326409,0.0053123278,0.00029079683,0.4330465,0.016535776,0.009740926,0.0001410907,0.022032246,0.13581295],"study_design_scores_gemma":[0.00089693523,0.00027789385,0.8386286,0.00004330235,0.0023226412,0.00000407952,0.1380111,0.0020752156,0.008160797,0.00018043804,0.008825506,0.0005735135],"about_ca_topic_score_codex":0.9988881,"about_ca_topic_score_gemma":0.9997678,"teacher_disagreement_score":0.47052735,"about_ca_system_score_codex":0.0006247878,"about_ca_system_score_gemma":0.000096924334,"threshold_uncertainty_score":0.99973834},"labels":[],"label_agreement":null},{"id":"W2767035028","doi":"10.1016/b978-0-08-097089-9.00022-x","title":"Exergetic Life Cycle Assessment","year":2012,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Life-cycle assessment; Environmental science; Economics; Macroeconomics","score_opus":0.009686485693460787,"score_gpt":0.24213781936364306,"score_spread":0.23245133367018228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2767035028","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003096121,0.00047862568,0.000006155166,0.000082730585,0.00023981632,0.00065771234,0.00001773054,0.0000696695,0.99535143],"genre_scores_gemma":[0.08096632,0.00009558645,0.00051681884,0.0005891183,0.00018569316,0.000042174008,0.00002055997,0.0000968085,0.9174869],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976877,0.000045711025,0.00044903022,0.0005421451,0.0006556626,0.00061976357],"domain_scores_gemma":[0.99833465,0.000037194623,0.00020909582,0.00083595596,0.0000050452786,0.0005780873],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0004000396,0.0005204285,0.00047581966,0.000040733783,0.00018081172,0.000040346218,0.00038711829,0.0003425744,0.029630521],"category_scores_gemma":[0.000015031763,0.00047851691,0.0002776198,0.000011585147,0.0005197903,0.0001375785,0.00063979253,0.0005605798,0.0035979867],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000074765503,0.00004928592,0.0021680323,0.000041800882,0.0000390977,0.000015489702,0.00020814029,0.000023989567,0.000052313626,0.0008574114,0.000396936,0.99614],"study_design_scores_gemma":[0.00019312405,0.000065838416,0.01452507,0.00003626352,0.0001094626,0.000007440916,0.00002434337,0.000022589324,0.00001742153,0.010413266,0.9739735,0.0006116754],"about_ca_topic_score_codex":0.0000047241992,"about_ca_topic_score_gemma":0.000018237943,"teacher_disagreement_score":0.99552834,"about_ca_system_score_codex":0.0010500166,"about_ca_system_score_gemma":0.00004302724,"threshold_uncertainty_score":0.99976665},"labels":[],"label_agreement":null},{"id":"W2770922545","doi":"10.1016/j.jclepro.2017.11.212","title":"Changes in the life cycle environmental footprint of egg production in Canada from 1962 to 2012","year":2017,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Egg Farmers of Canada","keywords":"Greenhouse gas; Life-cycle assessment; Sustainability; Production (economics); Carbon footprint; Ecological footprint; Resource (disambiguation); Productivity; Environmental science; Natural resource economics; Dozen; Agricultural economics; Supply chain; Agricultural science; Environmental protection; Business; Ecology; Biology; Economics; Economic growth","score_opus":0.011002815520246883,"score_gpt":0.22845079000675453,"score_spread":0.21744797448650766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770922545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894559,0.000050278846,0.0000031537802,0.009519908,0.00047897035,0.0002947526,0.0000025915087,0.000001169932,0.00019331435],"genre_scores_gemma":[0.9992913,0.000054724933,0.00011717503,0.00010700463,0.00027584858,0.000005597977,0.0000010608095,0.000008183762,0.00013910068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985651,0.00012699381,0.0003801321,0.00021579371,0.0005093784,0.00020264446],"domain_scores_gemma":[0.9990162,0.000017849263,0.00040598836,0.00046622526,0.000004733986,0.000088958346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009347408,0.00011271596,0.000191549,0.000050594634,0.00010207782,0.000020186062,0.0003674071,0.00003403336,0.00021747079],"category_scores_gemma":[0.0003070102,0.000083455714,0.00003744438,0.00006230574,0.00013638443,0.00040646992,0.0001222853,0.00023838117,0.0000064113974],"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":[0.00016955951,0.0002703166,0.9088505,0.000008685781,0.000009549619,0.000012402039,0.0027778437,0.018943287,0.028297037,6.8232043e-7,0.0005234644,0.04013668],"study_design_scores_gemma":[0.00019347499,0.00009940636,0.9714113,0.000017995939,0.000011179547,0.000017154347,0.0034891176,0.000019644327,0.022238372,0.0001817265,0.0022327378,0.00008789678],"about_ca_topic_score_codex":0.30101565,"about_ca_topic_score_gemma":0.70586944,"teacher_disagreement_score":0.4048538,"about_ca_system_score_codex":0.0013534167,"about_ca_system_score_gemma":0.00007531274,"threshold_uncertainty_score":0.703639},"labels":[],"label_agreement":null},{"id":"W2770949740","doi":"10.1007/s11367-017-1422-8","title":"Ecosystem quality in LCIA: status quo, harmonization, and suggestions for the way forward","year":2017,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":54,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Status quo; Harmonization; Ecosystem; Quality (philosophy); Environmental science; Environmental resource management; Ecosystem approach; Natural resource economics; Business; Environmental planning; Environmental economics; Ecology; Political science; Economics; Biology; Law","score_opus":0.02260668005029987,"score_gpt":0.3514603778315311,"score_spread":0.32885369778123125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770949740","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97573805,0.000061533516,0.006357524,0.01650696,0.00033590835,0.0002683784,0.000027534117,0.000002912877,0.00070118334],"genre_scores_gemma":[0.9985691,0.00015681042,0.0007631985,0.00027834246,0.00010694258,0.000016744285,0.0000020189661,0.0000068999116,0.00009999902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869835,0.00010047988,0.00042911334,0.00010772772,0.00050048385,0.00016383524],"domain_scores_gemma":[0.99873984,0.0003777065,0.0005023078,0.0002375671,0.000049800325,0.00009275996],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001824701,0.00008771506,0.00013385629,0.00002303526,0.0003633999,0.00020730874,0.0006846502,0.000028403896,0.00014326107],"category_scores_gemma":[0.0005570936,0.000050723473,0.00007263987,0.00002480353,0.0001719106,0.0004216969,0.00027073416,0.00015336339,0.0000033498034],"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":[0.00009156993,0.00015014228,0.9801466,0.000006532569,0.00008332004,0.000003927853,0.00055858656,0.0076067084,0.00030346884,0.0015404889,0.00055485085,0.008953799],"study_design_scores_gemma":[0.00072055694,0.000044685214,0.98691756,0.000013563054,0.000017431708,0.000010073501,0.0010965349,0.00487717,0.00008242088,0.0031441685,0.0030131314,0.000062704225],"about_ca_topic_score_codex":0.00056262856,"about_ca_topic_score_gemma":0.0010173671,"teacher_disagreement_score":0.022830978,"about_ca_system_score_codex":0.00059320766,"about_ca_system_score_gemma":0.000054987828,"threshold_uncertainty_score":0.27950147},"labels":[],"label_agreement":null},{"id":"W2771032976","doi":"10.1021/acs.est.7b03398","title":"COPTEM: A Model to Investigate the Factors Driving Crude Oil Pipeline Transportation Emissions","year":2017,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"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 Toronto; University of Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Pipeline transport; Pipeline (software); Greenhouse gas; Crude oil; Environmental science; Life-cycle assessment; Petroleum engineering; Fossil fuel; Range (aeronautics); Environmental engineering; Engineering; Waste management; Production (economics); Geology; Mechanical engineering","score_opus":0.01377608065805764,"score_gpt":0.2601388291683621,"score_spread":0.24636274851030449,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771032976","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.989737,0.000013672894,0.00083395536,0.005868642,0.000094158066,0.0002872744,0.000023980563,0.00010348923,0.003037883],"genre_scores_gemma":[0.9956264,0.00003141761,0.0015109497,0.00031828062,0.000011529232,0.00005752891,0.0000056698864,0.000022257902,0.002415984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997235,0.000026014457,0.00033939324,0.00082122866,0.00073606777,0.000842308],"domain_scores_gemma":[0.99785364,0.000029431441,0.00019949724,0.0014728828,0.0000027284143,0.0004418354],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0005659812,0.0003102225,0.00021904906,0.00013875496,0.0031063515,0.00013713064,0.0022538335,0.00015721114,0.0007287765],"category_scores_gemma":[0.0003196706,0.00022368896,0.000082901104,0.00040881478,0.0072093746,0.00091399037,0.0008786253,0.0003665777,0.00031666848],"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":[0.0000068350487,0.00013095657,0.6225116,0.0000021544183,0.0000029242317,0.0000068240624,0.00095509336,0.0066541475,0.36124018,0.00013166884,0.00030428046,0.008053305],"study_design_scores_gemma":[0.00022864826,0.00010714992,0.88317335,0.000018094213,0.000024046103,0.000007232301,0.0021239591,0.0064614024,0.09931437,0.0020695822,0.0060177622,0.0004543941],"about_ca_topic_score_codex":0.0002776543,"about_ca_topic_score_gemma":0.00024744731,"teacher_disagreement_score":0.26192582,"about_ca_system_score_codex":0.0009845361,"about_ca_system_score_gemma":0.00003448063,"threshold_uncertainty_score":0.9981915},"labels":[],"label_agreement":null},{"id":"W2771485238","doi":"10.11575/sppp.v10i0.43055","title":"Big and Little Feet Provincial Profiles: Ontario","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Context (archaeology); Agricultural economics; Production (economics); Goods and services; Investment (military); Economics; Natural resource economics; Business; Environmental science; Economy; Geography; Political science","score_opus":0.02164174547817545,"score_gpt":0.28491913448006534,"score_spread":0.2632773890018899,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2771485238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.809536,0.000004542481,2.4435212e-7,0.00018967314,0.000054431162,0.00035001643,0.0000048883503,0.0000070807855,0.18985315],"genre_scores_gemma":[0.9869522,0.00013665155,0.0001872105,0.000039555493,0.000052073756,0.0000478445,0.0000029050634,0.0000144248725,0.012567138],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985877,0.00006758549,0.00019304489,0.00044248978,0.00017373862,0.0005354365],"domain_scores_gemma":[0.99898493,0.000060291877,0.000063961634,0.00069239334,0.0000037709372,0.00019465912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009284041,0.00012512425,0.00016017989,0.000039788985,0.000527066,0.00016676307,0.0004043909,0.00009922975,0.0007100105],"category_scores_gemma":[0.00026803132,0.00012029316,0.000037003065,0.000022338954,0.0011163412,0.00031938005,0.00086525665,0.00036444422,0.000047146033],"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":[0.00003915322,0.00008323637,0.81362575,0.0000088086435,0.0000037312693,0.000012920007,0.0006405079,0.000031742195,0.00028414195,0.000030080539,0.000031058673,0.18520887],"study_design_scores_gemma":[0.00036690215,0.00010783335,0.97156626,0.0000072970442,0.0000014491901,0.0000047764843,0.00045764915,0.00019561786,0.000320719,0.0007230213,0.02610017,0.00014831992],"about_ca_topic_score_codex":0.017741095,"about_ca_topic_score_gemma":0.11938535,"teacher_disagreement_score":0.18506056,"about_ca_system_score_codex":0.0019411705,"about_ca_system_score_gemma":0.00009886586,"threshold_uncertainty_score":0.98879987},"labels":[],"label_agreement":null},{"id":"W2772468102","doi":"10.11575/sppp.v10i0.43059","title":"Big and Little Feet Provincial Profiles: Prince Edward Island","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Geography; History; Cartography; Oceanography; Geology","score_opus":0.015813667306149144,"score_gpt":0.28855152167441905,"score_spread":0.2727378543682699,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772468102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8656227,0.000009975623,9.677035e-7,0.00029691658,0.00005849094,0.000441254,0.000013128442,0.000009394115,0.13354717],"genre_scores_gemma":[0.99371254,0.0004664398,0.00018667834,0.000040500818,0.00008044014,0.00005450818,0.000003116205,0.000017295333,0.0054384675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845475,0.000090027024,0.0002090358,0.0004863953,0.00019375417,0.00056603074],"domain_scores_gemma":[0.99890906,0.000080984966,0.000075552016,0.0007334916,0.0000046849277,0.00019621116],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001035384,0.00013692875,0.00017471908,0.00004255711,0.000520937,0.00017636329,0.0004495955,0.000103459584,0.0003075337],"category_scores_gemma":[0.00044442096,0.00012844446,0.000036930523,0.000029978686,0.0012643411,0.00032948042,0.0009837771,0.00032084063,0.000044819924],"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":[0.000048786424,0.000087132095,0.77630454,0.000019550245,0.0000043075115,0.000014163443,0.0003210919,0.000050677816,0.00045361917,0.000032816537,0.000043335345,0.22262],"study_design_scores_gemma":[0.0004677174,0.00012506662,0.97014236,0.0000122100355,0.0000017584264,0.0000067156457,0.00046217698,0.00058750703,0.0006117861,0.0007342067,0.026658831,0.0001896717],"about_ca_topic_score_codex":0.00049525575,"about_ca_topic_score_gemma":0.0028416836,"teacher_disagreement_score":0.22243032,"about_ca_system_score_codex":0.00076135196,"about_ca_system_score_gemma":0.000055681317,"threshold_uncertainty_score":0.5237813},"labels":[],"label_agreement":null},{"id":"W2772906833","doi":"10.3390/su9122332","title":"Life Cycle Sustainability Assessment for Sustainability Improvements: A Case Study of High-Density Polyethylene Production in Alberta, Canada","year":2017,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"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 Calgary","funders":"Alberta Innovates; Alberta Innovates Bio Solutions","keywords":"Sustainability; Product (mathematics); Scope (computer science); Production (economics); Life-cycle assessment; Engineering; Work (physics); Computer science; Systems engineering; Environmental economics; Process management; Mathematics; Economics; Mechanical engineering","score_opus":0.0065915465555932895,"score_gpt":0.28208814141147553,"score_spread":0.27549659485588224,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2772906833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98028624,0.000007702344,0.00015501188,0.0071182833,0.00035140975,0.0118589485,0.000037569975,0.0000420159,0.00014278747],"genre_scores_gemma":[0.9978534,0.000001706626,0.0001927046,0.000096003176,0.00006498713,0.0010834729,0.000014838793,0.00005406024,0.00063881546],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99283576,0.00085819507,0.0015868065,0.002072055,0.0010444188,0.0016027495],"domain_scores_gemma":[0.99269056,0.00045776129,0.0009176988,0.0042679417,0.00092326,0.0007427583],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.004433574,0.0007252127,0.001136888,0.00011378531,0.001584997,0.00013809654,0.0010506618,0.00025404527,0.00019577504],"category_scores_gemma":[0.026267393,0.0007207861,0.00024164566,0.00040379315,0.0014724252,0.0012906832,0.001694264,0.00061037793,7.9485727e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006207183,0.0061367573,0.9715868,0.0009795114,0.00005741629,0.00035893667,0.0028292863,0.0043901214,0.000031003077,0.0001923152,0.00012906735,0.012688063],"study_design_scores_gemma":[0.0027459355,0.0010349377,0.87306017,0.0000065594363,0.00008498614,0.000027433893,0.07829694,0.0006556539,0.0004974684,0.042864434,0.00009914324,0.0006263291],"about_ca_topic_score_codex":0.991478,"about_ca_topic_score_gemma":0.97478485,"teacher_disagreement_score":0.09852662,"about_ca_system_score_codex":0.03530819,"about_ca_system_score_gemma":0.004905534,"threshold_uncertainty_score":0.9997148},"labels":[],"label_agreement":null},{"id":"W2773164133","doi":"10.2139/ssrn.3142649","title":"A Comparative Analysis of Environmental and Economic Costs of PV Solar Imports and Manufacturing: China vs. Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"China; Photovoltaic system; Natural resource economics; Economics; Business; International trade; Geography; Engineering","score_opus":0.002895881659153765,"score_gpt":0.19963030196557688,"score_spread":0.1967344203064231,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773164133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99892306,0.00014098044,0.000039456943,0.000050639625,0.00002588513,0.0001156044,0.000024422006,0.0000016140306,0.0006783278],"genre_scores_gemma":[0.9994442,0.0002454073,0.00003122347,0.000021445927,0.000012738015,0.0000010971089,0.0000059116514,0.000005917263,0.00023207933],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984053,0.000057044006,0.0003320748,0.00023354529,0.00020521683,0.00076683774],"domain_scores_gemma":[0.9994186,0.000022579758,0.0002531891,0.00016021827,0.0000013141266,0.0001440806],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00051188865,0.00016377938,0.0003760031,0.000060956496,0.0001432027,0.00001233046,0.0001278428,0.00004431929,0.0013147132],"category_scores_gemma":[0.0000028282805,0.00014700348,0.000071226124,0.000042170606,0.00053074415,0.00019729661,0.00013978705,0.00039542516,0.0000017912672],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001006046,0.00006785526,0.99484694,0.0000024683645,0.00048310804,0.0000020727216,0.0010999576,0.0002021722,0.0016517383,0.00007618814,0.000029266255,0.0014376395],"study_design_scores_gemma":[0.00032812223,0.00042268148,0.99019897,0.0000025218,0.0002331327,0.00006302628,0.0019361337,0.00019756667,0.0049327435,0.0013675634,0.00017545141,0.00014208617],"about_ca_topic_score_codex":0.7337149,"about_ca_topic_score_gemma":0.98078775,"teacher_disagreement_score":0.24707285,"about_ca_system_score_codex":0.0055243718,"about_ca_system_score_gemma":0.00037548432,"threshold_uncertainty_score":0.9995982},"labels":[],"label_agreement":null},{"id":"W2773648684","doi":"","title":"Two Degrees Celsius, Assessing the Potential of Urban Commercial Buildings in Canada to Reach the 2°C Climate Change Target","year":2017,"lang":"en","type":"dissertation","venue":"UWSpace (University of Waterloo)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Degree Celsius; Climate change; Architectural engineering; Geography; Engineering; Environmental science; Meteorology; Geology; Physics","score_opus":0.010506935899814494,"score_gpt":0.22576817542918737,"score_spread":0.21526123952937287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2773648684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99644136,0.00004139615,0.0000016755736,0.001505934,0.00019217214,0.00051389076,0.000057562644,0.000005457643,0.001240518],"genre_scores_gemma":[0.9889449,0.000042547566,0.0002812435,0.000049369966,0.000028854587,0.0000014994094,0.00007453,0.000015759277,0.010561315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985246,0.00013796861,0.00015831256,0.00029937725,0.00047174285,0.00040800672],"domain_scores_gemma":[0.9989867,0.000034507055,0.00034039974,0.00052783306,0.000014705063,0.000095854055],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041784084,0.00021973277,0.00033357693,0.00005113355,0.00054907514,0.000033629192,0.0009874109,0.000100929894,0.00039094457],"category_scores_gemma":[0.000020166457,0.00017140109,0.00010702115,0.00011856202,0.0002816783,0.00036893095,0.00031896753,0.00029679344,0.000007810445],"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":[0.00025321898,0.00015291295,0.8263321,0.00017895908,0.00004665461,0.00007840774,0.14664799,0.0010593861,0.006957343,0.000032140764,0.00226752,0.01599336],"study_design_scores_gemma":[0.00024370349,0.000037550388,0.850821,0.00006233302,0.00005181416,0.0000010365846,0.14732993,0.00014903824,0.000586873,0.00003041359,0.0005070232,0.00017926327],"about_ca_topic_score_codex":0.991458,"about_ca_topic_score_gemma":0.99281174,"teacher_disagreement_score":0.024488917,"about_ca_system_score_codex":0.0008768494,"about_ca_system_score_gemma":0.00009573582,"threshold_uncertainty_score":0.69895333},"labels":[],"label_agreement":null},{"id":"W2775154665","doi":"","title":"Évaluation de l'utilisation des matières organiques résiduelles comme source d'énergie pour le secteur des transports","year":2017,"lang":"fr","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Physics; Art","score_opus":0.038705011885172017,"score_gpt":0.28425317428730135,"score_spread":0.24554816240212934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2775154665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8975998,0.0031834093,0.07289485,0.017710453,0.0002874947,0.0022335807,0.00015270401,0.0036611487,0.0022765186],"genre_scores_gemma":[0.9479283,0.0028521365,0.037740197,0.00055612065,0.00014379277,0.00046148532,0.000071401104,0.00028995256,0.009956586],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.991284,0.00054121355,0.001281091,0.002064537,0.0010554398,0.0037737018],"domain_scores_gemma":[0.99350065,0.00048259794,0.0010412524,0.004145835,0.00017161352,0.0006580395],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":["metaepi_narrow","sts","research_integrity"],"category_scores_codex":[0.003357004,0.0016386367,0.0013056853,0.0005448396,0.0037447875,0.0009353389,0.0043834844,0.0034494563,0.0008895447],"category_scores_gemma":[0.0064421007,0.0017976868,0.00059986627,0.0011294706,0.011375922,0.0022127938,0.0020263998,0.0027535465,0.00029073074],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025373115,0.0016724827,0.77552,0.000564028,0.00017853426,0.0006162876,0.005596645,0.05228284,0.058879886,0.0015986176,0.0051848763,0.097652026],"study_design_scores_gemma":[0.0017423694,0.0009232827,0.5942542,0.00041855915,0.00031350387,0.00044737651,0.02563272,0.0279071,0.25812125,0.07978065,0.008578776,0.001880186],"about_ca_topic_score_codex":0.015847078,"about_ca_topic_score_gemma":0.023761699,"teacher_disagreement_score":0.19924138,"about_ca_system_score_codex":0.004202147,"about_ca_system_score_gemma":0.0010233694,"threshold_uncertainty_score":0.9996361},"labels":[],"label_agreement":null},{"id":"W2777901037","doi":"","title":"Global Guidance On LCIA Indicators: Impacts Of Particulate Matter And Of Land Use","year":2017,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"","keywords":"Particulates; Environmental science; Natural resource economics; Environmental resource management; Environmental planning; Economics; Chemistry","score_opus":0.007433101497262802,"score_gpt":0.2408732888939421,"score_spread":0.2334401873966793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2777901037","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970079,0.00006761093,0.00086709904,0.0006292642,0.00002142847,0.0003626065,0.00007809964,0.000027445398,0.000938567],"genre_scores_gemma":[0.9964229,0.00004210671,0.0029070615,0.00040915635,0.000010752756,0.000027021326,0.000002677312,0.000015480988,0.00016288408],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861234,0.000067802386,0.00033259,0.00028818627,0.00029370087,0.0004053769],"domain_scores_gemma":[0.9983732,0.000040367457,0.0003726823,0.0009575354,0.0000069695216,0.00024921147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003792102,0.00020043412,0.0002793958,0.000052313746,0.00017725916,0.00008102873,0.00036408735,0.00013825699,0.00016890108],"category_scores_gemma":[0.00022106034,0.00017490408,0.000081312726,0.00011104815,0.00061428396,0.0005159436,0.00042952708,0.0001103656,0.000015282876],"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":[0.00008833762,0.00017229204,0.9936823,0.000024579218,0.0000143609395,0.000010128125,0.00010212868,0.00035077805,0.002800626,0.00023498823,0.0004995796,0.0020198605],"study_design_scores_gemma":[0.0003277515,0.00014947735,0.9838386,0.000034788536,0.000017948898,0.000010683971,0.000021215965,0.0007487917,0.013661828,0.00084990036,0.00017687632,0.00016213948],"about_ca_topic_score_codex":0.024081813,"about_ca_topic_score_gemma":0.002647751,"teacher_disagreement_score":0.021434061,"about_ca_system_score_codex":0.00036052504,"about_ca_system_score_gemma":0.000019001325,"threshold_uncertainty_score":0.9824169},"labels":[],"label_agreement":null},{"id":"W2782049354","doi":"","title":"Interrelations between Greenhouse Gas (GHG) Emission and Total Floor Area of Buildings -With the Case Study of Public Facilities in Ontario, Canada-","year":2017,"lang":"en","type":"article","venue":"Architectural research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Greenhouse; Agricultural economics; Environmental engineering; Natural resource economics; Business; Mathematics; Economics; Geology","score_opus":0.06856550689825378,"score_gpt":0.3149831640728487,"score_spread":0.24641765717459493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2782049354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980987,0.000007872371,0.000005117097,0.0007901407,0.000006042034,0.0005180065,0.000011382796,0.0000028559123,0.00055988284],"genre_scores_gemma":[0.9987367,7.931033e-7,0.000029031138,0.0000024372464,0.0000036984734,0.000017136967,0.0000014273879,0.0000060735824,0.0012027142],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842125,0.00023215427,0.00020002654,0.00023418656,0.0005577792,0.00035458748],"domain_scores_gemma":[0.9989927,0.00028455537,0.00007078791,0.0004934033,0.00001639349,0.00014216198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009163964,0.00010610032,0.00016659104,0.00006202339,0.0005100366,0.00004835777,0.00034737866,0.000029546085,0.00025906364],"category_scores_gemma":[0.00032908018,0.00006306041,0.00002031235,0.000102423975,0.001077854,0.00019554741,0.000792333,0.00047141922,6.1911226e-7],"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":[0.00003893859,0.00008271076,0.9628876,0.00001097627,0.0000116213105,0.000097287455,0.014690347,0.00010332241,0.00030268024,0.0000018892498,0.00002436223,0.021748267],"study_design_scores_gemma":[0.00040598479,0.00052307843,0.9748,0.00001160201,0.0000047756844,0.00007306717,0.023553213,0.00009697494,0.00027119266,0.00011746283,0.00007198198,0.00007070074],"about_ca_topic_score_codex":0.99417114,"about_ca_topic_score_gemma":0.997117,"teacher_disagreement_score":0.021677567,"about_ca_system_score_codex":0.0005212455,"about_ca_system_score_gemma":0.00012349896,"threshold_uncertainty_score":0.3971398},"labels":[],"label_agreement":null},{"id":"W2783043139","doi":"10.15302/j-fase-2017189","title":"Comments on the special issue on forestry of FASE","year":2017,"lang":"en","type":"article","venue":"Frontiers of Agricultural Science and Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Forestry; Business; Geography","score_opus":0.005321168274101161,"score_gpt":0.1954012682322707,"score_spread":0.19008009995816952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783043139","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908908,0.000006253493,0.0000061689902,0.0007160935,0.00019926249,0.000114039365,0.0000032402138,0.000003947697,0.008060219],"genre_scores_gemma":[0.99953455,0.000010203212,0.00016706105,0.00003784719,0.00010175173,0.0000022899046,4.0359282e-7,0.000001853876,0.00014403817],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99923164,0.0000050297185,0.00009544237,0.00013813959,0.00034592254,0.00018385495],"domain_scores_gemma":[0.9996183,0.000014302481,0.00006875607,0.00021745721,0.000006207981,0.00007500052],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023728123,0.000085077634,0.00009509967,0.000014267472,0.00028555698,0.000036885904,0.00039745364,0.000023188904,0.000055677803],"category_scores_gemma":[0.0001489028,0.00004438248,0.000027826656,0.00007332732,0.0006404606,0.00030164246,0.00016660946,0.00007321986,0.0000056419626],"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":[0.00005749281,0.000343472,0.72151375,0.000050349554,0.000034750876,0.0000059566523,0.0026412322,0.016721116,0.11653615,0.0013113606,0.11725526,0.023529109],"study_design_scores_gemma":[0.00008151361,0.00009615627,0.97998565,0.000010658008,0.000003253074,5.2568834e-7,0.0005915758,0.00024369652,0.016888104,0.00002562652,0.0020057503,0.000067462875],"about_ca_topic_score_codex":0.000078914214,"about_ca_topic_score_gemma":0.0000025896186,"teacher_disagreement_score":0.25847194,"about_ca_system_score_codex":0.000110290064,"about_ca_system_score_gemma":0.0000031205393,"threshold_uncertainty_score":0.23598038},"labels":[],"label_agreement":null},{"id":"W2783738658","doi":"10.1111/jiec.12693","title":"Evaluating Eco‐Efficiency of 3D Printing in the Aeronautic Industry","year":2017,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Consortium de Recherche et d’innovation en Aérospatiale au Québec","keywords":"Industrial ecology; 3D printing; Normalization (sociology); Life-cycle assessment; Productivity; Cost reduction; Environmental impact assessment; Manufacturing engineering; Machining; Environmental economics; Computer science; Operations management; Industrial organization; Business; Engineering; Economics; Production (economics); Mechanical engineering; Marketing; Sustainability","score_opus":0.07760091935766245,"score_gpt":0.35989494232693603,"score_spread":0.2822940229692736,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783738658","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99478185,0.000008281723,0.000006344028,0.0011200194,0.00032869307,0.00021110046,7.897148e-7,0.0000013791384,0.0035415336],"genre_scores_gemma":[0.9994107,0.0000034904078,0.00027332726,0.0000943744,0.00014942462,0.0000024335695,1.619393e-7,0.0000053275794,0.000060744846],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981263,0.00036508922,0.00069478434,0.00013037535,0.00038214427,0.0003012725],"domain_scores_gemma":[0.9981681,0.0002763903,0.0011337905,0.00034293512,0.000014143119,0.00006462223],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048293993,0.00010726225,0.0002824387,0.000052647458,0.00023735999,0.00003613687,0.0008410925,0.00032288756,0.001097826],"category_scores_gemma":[0.0034668462,0.00007289442,0.00008087823,0.00009417689,0.00051871705,0.00032021417,0.000291636,0.0011221549,0.000010602232],"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":[0.00006199773,0.00024959815,0.97450405,0.0000031239401,0.000008525764,0.000030318446,0.0006107073,0.0023819744,0.0013049309,0.000019527235,0.00011700663,0.02070826],"study_design_scores_gemma":[0.0015086017,0.0008702199,0.9940861,0.000022803008,0.0000272387,0.00007394791,0.0013918268,0.00043162965,0.00084521563,0.00043541455,0.0002187763,0.000088252644],"about_ca_topic_score_codex":0.00017807102,"about_ca_topic_score_gemma":0.00011669775,"teacher_disagreement_score":0.020620007,"about_ca_system_score_codex":0.00037674917,"about_ca_system_score_gemma":0.00010168525,"threshold_uncertainty_score":0.9998153},"labels":[],"label_agreement":null},{"id":"W2784545593","doi":"10.1016/j.rser.2018.11.025","title":"The role of bioenergy in low-carbon energy transition scenarios: A case study for Quebec (Canada)","year":2018,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Group for Research in Decision Analysis; HEC Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; BioFuelNet Canada","keywords":"Bioenergy; Greenhouse gas; Scenario analysis; Natural resource economics; Baseline (sea); Environmental science; Government (linguistics); Energy policy; Agricultural economics; Environmental protection; Environmental economics; Business; Renewable energy; Economics; Biofuel; Engineering; Waste management; Political science; Ecology","score_opus":0.0056576706790135494,"score_gpt":0.21808694718532357,"score_spread":0.21242927650631002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2784545593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98755133,0.007898661,0.0004032508,0.0002053527,0.000047722075,0.00080404157,0.0000025721806,0.000012359389,0.0030747366],"genre_scores_gemma":[0.9915908,0.0018209832,0.000037598413,0.00019714389,0.00005001351,0.00027383034,0.00000481039,0.000020845308,0.0060039526],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99774945,0.00029031964,0.0005898526,0.0004281705,0.0002364168,0.00070576847],"domain_scores_gemma":[0.9990837,0.00010432741,0.00016741759,0.00046592532,0.00003055655,0.00014809822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001033761,0.00025615885,0.00043617177,0.000051056755,0.0004366002,0.000043333188,0.00020397622,0.00008095641,0.00004957167],"category_scores_gemma":[0.0000864442,0.00018423611,0.00008241207,0.00042304955,0.00034567542,0.00020339394,0.000166262,0.000057524147,2.1112778e-7],"study_design_candidate":"not_applicable","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":[0.0019619365,0.00549001,0.09081347,0.001603049,0.0002999973,0.0028570052,0.01517828,0.029302895,0.008225649,0.010624562,0.006250286,0.8273929],"study_design_scores_gemma":[0.0014831639,0.000991565,0.0011914911,0.000077999925,0.00008445181,0.000103395985,0.07134515,0.011531198,0.0056563034,0.004817731,0.90207577,0.00064177904],"about_ca_topic_score_codex":0.9758168,"about_ca_topic_score_gemma":0.9848829,"teacher_disagreement_score":0.8958255,"about_ca_system_score_codex":0.00072595704,"about_ca_system_score_gemma":0.00015464234,"threshold_uncertainty_score":0.75129306},"labels":[],"label_agreement":null},{"id":"W2787812477","doi":"10.55016/ojs/sppp.v10i1.43058","title":"Big and Little Feet Provincial Profiles: Nova Scotia","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Nova scotia; Nova (rocket); Geography; Forestry; Archaeology; Aeronautics; Engineering","score_opus":0.03467156095867403,"score_gpt":0.30510833622489447,"score_spread":0.27043677526622045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2787812477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85073227,0.000030022864,0.00010924575,0.052351862,0.00006056266,0.00058939436,0.00006323625,0.000044500142,0.096018925],"genre_scores_gemma":[0.9938702,0.000014542388,0.00030486393,0.00036786465,0.00020069824,0.00003838055,0.000011875712,0.000014509301,0.005177039],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985928,0.000101863465,0.00027300577,0.00028518925,0.00032259943,0.00042454212],"domain_scores_gemma":[0.99780405,0.000050853883,0.00028007518,0.0014899629,0.000028586417,0.00034645275],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009327349,0.00014961044,0.00015193108,0.00009237733,0.00071600423,0.0004203671,0.0011332909,0.000076898985,0.0016447821],"category_scores_gemma":[0.0030926415,0.00010750018,0.00006229215,0.0002683763,0.0017534065,0.001149416,0.00092401565,0.00019105799,0.00039978995],"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":[0.00000514916,0.00020648798,0.95283216,0.000013672297,0.000019474228,1.6179786e-7,0.00028094833,0.0000029026517,0.0014291541,0.01618326,0.011369336,0.017657273],"study_design_scores_gemma":[0.00022127517,0.000034596014,0.97011733,0.0000027606568,0.000010560141,0.000005488689,0.00017373307,0.00003298138,0.0003005095,0.005227562,0.023755219,0.00011795582],"about_ca_topic_score_codex":0.013724299,"about_ca_topic_score_gemma":0.0019580207,"teacher_disagreement_score":0.14313798,"about_ca_system_score_codex":0.00030782868,"about_ca_system_score_gemma":0.0002450021,"threshold_uncertainty_score":0.9992679},"labels":[],"label_agreement":null},{"id":"W2788274012","doi":"10.3390/su10020410","title":"Transfer of Virtual Water of Woody Forest Products from China","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; National Key Research and Development Program of China; Nanjing University of Information Science and Technology","keywords":"Virtual water; China; Agriculture; International trade; Agricultural economics; Water transfer; Geography; Russian federation; Business; Environmental science; Environmental protection; Water scarcity; Water resource management; Economics; Regional science","score_opus":0.004273602718799404,"score_gpt":0.21726129162542188,"score_spread":0.21298768890662248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788274012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671966,0.000009949084,0.00035990676,0.00067326333,0.000081269805,0.0006850097,0.00003096657,0.000025061261,0.0014148933],"genre_scores_gemma":[0.99918675,0.0000016903084,0.00016531216,0.000026859727,0.000054531218,0.000015881347,0.000017992017,0.000017050636,0.00051395624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979355,0.00016572991,0.0004792145,0.0005141124,0.00041043336,0.0004950272],"domain_scores_gemma":[0.99883795,0.000041530035,0.00005053252,0.00085705623,0.000087839806,0.0001251008],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006705322,0.00021531808,0.00033731284,0.000031661035,0.000097636366,0.000008112095,0.00034825248,0.00011097254,0.003326192],"category_scores_gemma":[0.0003842919,0.00015615522,0.0001202806,0.00021564365,0.0023798824,0.00044132452,0.00029911462,0.00013705477,0.00003905676],"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":[0.00033492988,0.0007782511,0.9536653,0.00011304421,0.000021071206,0.0000032274318,0.006850076,0.00024616937,0.03379296,0.0003781544,0.00011738574,0.0036994328],"study_design_scores_gemma":[0.00033506416,0.000547749,0.7393053,0.0000034953216,0.00002007433,5.637245e-7,0.0011634837,0.000047409427,0.24525727,0.012360437,0.00080761616,0.00015151723],"about_ca_topic_score_codex":0.004297284,"about_ca_topic_score_gemma":0.00025566915,"teacher_disagreement_score":0.21435998,"about_ca_system_score_codex":0.00071053597,"about_ca_system_score_gemma":0.000057150766,"threshold_uncertainty_score":0.9975849},"labels":[],"label_agreement":null},{"id":"W2788821408","doi":"10.1038/s41598-018-21559-8","title":"Cooling aerosols and changes in albedo counteract warming from CO2 and black carbon from forest bioenergy in Norway","year":2018,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"Norges Forskningsråd","keywords":"Bioenergy; Environmental science; Greenhouse gas; Global warming; Stove; Biomass (ecology); Climate change; Albedo (alchemy); Atmospheric sciences; Biofuel; Ecology; Geography","score_opus":0.008089156137726046,"score_gpt":0.2274928363576129,"score_spread":0.21940368021988685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788821408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978609,0.000103157945,0.000003846881,0.000101378406,0.00062923215,0.0002404746,0.000007132762,0.000010726258,0.001043147],"genre_scores_gemma":[0.9993305,0.000025795269,0.00014159817,0.00005963159,0.000050339066,0.000010149823,0.000028809895,0.000012229787,0.00034091785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980048,0.00005517914,0.00033806066,0.0008481103,0.00031793342,0.00043592948],"domain_scores_gemma":[0.99917847,0.00006802759,0.00014034164,0.00044253533,0.0000062727163,0.00016435295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006756055,0.00017123844,0.00021173651,0.000070844704,0.00012868654,0.00016966119,0.00008782263,0.000081884,0.000422217],"category_scores_gemma":[0.000110756315,0.00015779784,0.00001839996,0.00024811708,0.0013071956,0.00028747378,0.0003139972,0.000108943816,0.00001345783],"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":[0.000017487031,0.00004871134,0.9334841,0.0000039970832,0.0000024227134,0.00012626397,0.0030475822,0.000096746146,0.062302485,6.340176e-7,0.00006057028,0.00080904365],"study_design_scores_gemma":[0.00023949968,0.000042949578,0.97059613,0.000048039044,0.0000067221704,0.00001050292,0.0010628041,0.003849455,0.019466242,0.0019604303,0.002497152,0.00022004267],"about_ca_topic_score_codex":0.030844964,"about_ca_topic_score_gemma":0.08654689,"teacher_disagreement_score":0.05570193,"about_ca_system_score_codex":0.00029088935,"about_ca_system_score_gemma":0.000015086278,"threshold_uncertainty_score":0.9756087},"labels":[],"label_agreement":null},{"id":"W2788851561","doi":"10.1007/s11367-018-1446-8","title":"LCA capability roadmap—product system model description and revision","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth; Université de Sherbrooke","funders":"Directorate for Computer and Information Science and Engineering; U.S. Environmental Protection Agency","keywords":"Product (mathematics); Computer science; Systems engineering; Manufacturing engineering; Engineering; Mathematics; Geometry","score_opus":0.01708690493493174,"score_gpt":0.2937380151341882,"score_spread":0.2766511101992564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2788851561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9876347,0.000051695402,0.0059665446,0.0025195943,0.00036261152,0.00014576287,0.0000035796575,0.00000937335,0.0033061104],"genre_scores_gemma":[0.99652565,0.000038940318,0.0027457105,0.0002971657,0.0002809173,0.0000019239733,0.0000010118848,0.000007773246,0.000100884434],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983337,0.00012703607,0.0004375283,0.0001698103,0.000785622,0.00014633582],"domain_scores_gemma":[0.9992285,0.000043656113,0.00030274552,0.00022374815,0.00006947254,0.00013190653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015716761,0.000110656525,0.0001497475,0.00003024032,0.00013852672,0.000089361405,0.00044376278,0.000027225042,0.0002262727],"category_scores_gemma":[0.000114889845,0.00007155865,0.00007181944,0.00005477926,0.00031980977,0.0005071268,0.0002915374,0.00016411467,0.000019637606],"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":[0.0009701418,0.0014434127,0.7994914,0.000084983745,0.00038055284,0.000046544596,0.0045518237,0.038448952,0.043065753,0.0032686512,0.008736789,0.09951097],"study_design_scores_gemma":[0.00082564366,0.000387419,0.87702453,0.00007187078,0.000053771197,0.00017828241,0.0021361199,0.11240589,0.0011189696,0.0036312276,0.0019582196,0.00020803278],"about_ca_topic_score_codex":0.00014427186,"about_ca_topic_score_gemma":0.000019351724,"teacher_disagreement_score":0.09930293,"about_ca_system_score_codex":0.0010958252,"about_ca_system_score_gemma":0.000049313563,"threshold_uncertainty_score":0.2918077},"labels":[],"label_agreement":null},{"id":"W2789489050","doi":"10.1016/j.scitotenv.2018.02.103","title":"Analyzing the carbon mitigation potential of tradable green certificates based on a TGC-FFSRO model: A case study in the Beijing-Tianjin-Hebei region, China","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Beijing; China; Environmental science; Business; Geography","score_opus":0.013325525143493024,"score_gpt":0.23464462051657387,"score_spread":0.22131909537308084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789489050","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939011,0.000016073673,0.00011329255,0.0039598974,0.000059216145,0.0012267291,0.000004529972,0.000007146382,0.00071204454],"genre_scores_gemma":[0.9996202,0.0000030252352,0.00005560715,0.000058136386,0.000025193356,0.000038919454,5.011248e-7,0.000012694125,0.00018572679],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99700415,0.00048212803,0.0004435312,0.0004774497,0.0011396324,0.00045311984],"domain_scores_gemma":[0.9980485,0.000096351934,0.0002922718,0.001487436,0.0000054786,0.00006996653],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0029438345,0.0002321164,0.0001995528,0.000053783693,0.00081763836,0.00004370412,0.0014432516,0.000044147775,0.00007922524],"category_scores_gemma":[0.0000732592,0.00010474111,0.00013557871,0.00065199356,0.004861925,0.00021022354,0.00049875845,0.0002573662,0.000006975561],"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":[0.00016215874,0.001475679,0.021814521,0.000012377974,0.0000207172,0.00003126946,0.018934071,0.9173381,0.0382435,0.000029652454,0.000033999266,0.0019039852],"study_design_scores_gemma":[0.0005262901,0.0006827575,0.37102646,0.000020026551,0.00010750838,0.000086399676,0.010665612,0.60267764,0.012790635,0.0011964915,0.0000036342492,0.00021654804],"about_ca_topic_score_codex":0.0050161066,"about_ca_topic_score_gemma":0.00012240966,"teacher_disagreement_score":0.34921193,"about_ca_system_score_codex":0.00046018124,"about_ca_system_score_gemma":0.000035212644,"threshold_uncertainty_score":0.99784625},"labels":[],"label_agreement":null},{"id":"W2789653345","doi":"10.1111/jiec.12734","title":"Sectoral Aggregation Error in the Accounting of Energy and Emissions Embodied in Trade and Consumption","year":2018,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"HEC Montréal","funders":"National Natural Science Foundation of China","keywords":"Embodied energy; Greenhouse gas; Energy consumption; Computable general equilibrium; Data aggregator; Consumption (sociology); Consistency (knowledge bases); Economics; Econometrics; Set (abstract data type); Efficient energy use; Environmental economics; Computer science; Microeconomics; Ecology","score_opus":0.03486995584762271,"score_gpt":0.2816915677097455,"score_spread":0.24682161186212281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2789653345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99887025,0.000017523564,0.0000040276454,0.00071670057,0.00007630437,0.00006892476,7.870481e-7,6.454144e-7,0.0002448425],"genre_scores_gemma":[0.9997512,0.000024146608,0.000044638185,0.00010170683,0.000067307206,0.0000010101407,3.410287e-7,0.0000021362707,0.000007522531],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999224,0.00018635899,0.00030719157,0.00006979429,0.00009697848,0.00011566065],"domain_scores_gemma":[0.9995634,0.00013833669,0.00021373761,0.000046349276,0.000002984173,0.000035175122],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008080187,0.000053299722,0.0001392889,0.000056704866,0.00004130565,0.000007939971,0.00007049441,0.000118605494,0.00019152988],"category_scores_gemma":[0.00024051967,0.00003712269,0.000016767066,0.0000882499,0.00033773333,0.000172989,0.000041762127,0.00016222529,3.3654823e-7],"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":[0.0000983233,0.00006638969,0.99006885,0.000001754149,0.000002536764,0.0000060894245,0.00078382576,0.000036066416,0.0014934405,0.000027051281,0.00011065167,0.0073050284],"study_design_scores_gemma":[0.0010859874,0.00034170813,0.9959022,0.000013967014,0.0000075710714,0.00004839095,0.0008545455,0.00017787154,0.0005730418,0.000620138,0.00033579153,0.00003880034],"about_ca_topic_score_codex":0.00021137967,"about_ca_topic_score_gemma":0.0018353178,"teacher_disagreement_score":0.007266228,"about_ca_system_score_codex":0.00013787491,"about_ca_system_score_gemma":0.000019544761,"threshold_uncertainty_score":0.20971179},"labels":[],"label_agreement":null},{"id":"W2790419111","doi":"10.1093/forestry/cpx056","title":"Assessing the greenhouse gas effects of harvested wood products manufactured from managed forests in Canada","year":2017,"lang":"en","type":"article","venue":"Forestry An International Journal of Forest Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":68,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"Natural Resources Canada","keywords":"Greenhouse gas; Environmental science; Life-cycle assessment; Carbon fibers; Sustainability; Engineering; Environmental engineering; Waste management; Forestry; Production (economics); Geography; Ecology; Mathematics","score_opus":0.03007683721928651,"score_gpt":0.34984643162138884,"score_spread":0.31976959440210234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2790419111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977507,0.0000292547,0.000033976507,0.0010498745,0.00035572256,0.00030765834,0.00001054955,0.0000025517181,0.00045968973],"genre_scores_gemma":[0.9993738,0.000030872674,0.00025187424,0.000024711551,0.00016670288,0.0000076424185,0.000009204941,0.000016486114,0.00011870229],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99667567,0.0003664527,0.00048964244,0.00024815122,0.0018136834,0.00040637344],"domain_scores_gemma":[0.9981673,0.0003770394,0.0004811428,0.0006863692,0.00011014126,0.00017803126],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013701612,0.00015356862,0.00022724742,0.000106649255,0.00029528796,0.0003230417,0.0022946168,0.000066787936,0.00015077341],"category_scores_gemma":[0.0015554187,0.000106614876,0.000071481496,0.000105521394,0.00061961956,0.0020383107,0.0005619565,0.0007359708,0.000005439203],"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":[0.00015568969,0.00021372976,0.99132323,0.00002155931,0.000047051628,0.00054600043,0.00029174346,0.0019684883,0.0006852909,0.00004664556,0.00020791891,0.0044926642],"study_design_scores_gemma":[0.0007930368,0.00017215908,0.98438144,0.00010480454,0.000008935169,0.000027559803,0.0004612296,0.00043180102,0.008231034,0.005079254,0.0002112788,0.00009744933],"about_ca_topic_score_codex":0.60969275,"about_ca_topic_score_gemma":0.77352995,"teacher_disagreement_score":0.16383716,"about_ca_system_score_codex":0.0013862576,"about_ca_system_score_gemma":0.00040163792,"threshold_uncertainty_score":0.43476287},"labels":[],"label_agreement":null},{"id":"W2791711244","doi":"10.3390/su10040962","title":"A Sustainable Industry-Environment Model for the Identification of Urban Environmental Risk to Confront Air Pollution in Beijing, China","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Beijing; China; Sustainable development; Air pollution; Environmental pollution; Environmental planning; Identification (biology); Pollution; Business; Sustainable city; Environmental protection; Environmental science; Civil engineering; Engineering; Urban planning; Geography; Political science","score_opus":0.00584142739242807,"score_gpt":0.24314324832165513,"score_spread":0.23730182092922705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791711244","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9641215,0.00004581343,0.02907447,0.0023400052,0.000055717548,0.0040228073,0.0001007171,0.000030038542,0.00020893409],"genre_scores_gemma":[0.9938205,0.000016122513,0.00043449784,0.00022790243,0.000055699977,0.0005070131,0.000014756741,0.00003476468,0.0048887804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964015,0.00027296072,0.0009233669,0.00085433363,0.0005555141,0.0009923597],"domain_scores_gemma":[0.9980424,0.00010997392,0.0003669537,0.0012058661,0.000033351404,0.00024144675],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031802019,0.00035733313,0.00034399162,0.00010230951,0.00059568824,0.000034138888,0.00060799846,0.00028425807,0.0004851096],"category_scores_gemma":[0.0010444216,0.00030084205,0.00018311304,0.00033646097,0.0015536585,0.0004799331,0.00068439037,0.0004459306,0.000034426834],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00045271637,0.0009131985,0.8009774,0.00008194602,0.000023643934,0.000002246689,0.009168777,0.18189232,0.00091320084,0.0007731208,0.0011995389,0.0036018698],"study_design_scores_gemma":[0.0006973573,0.00039975077,0.90246534,0.0000040460213,0.000051905143,0.0000012448576,0.009701635,0.071551815,0.0017315672,0.0097686825,0.0032972645,0.00032937498],"about_ca_topic_score_codex":0.0024944847,"about_ca_topic_score_gemma":0.00027099086,"teacher_disagreement_score":0.1103405,"about_ca_system_score_codex":0.0071112225,"about_ca_system_score_gemma":0.000110773784,"threshold_uncertainty_score":0.9999444},"labels":[],"label_agreement":null},{"id":"W2791880383","doi":"10.1016/j.jclepro.2018.03.107","title":"A review of technology and policy deep decarbonization pathway options for making energy-intensive industry production consistent with the Paris Agreement","year":2018,"lang":"en","type":"review","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":641,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Agence Nationale de la Recherche; University College London","keywords":"Greenhouse gas; Natural resource economics; Investment (military); Economics; Carbon price; Business; Portfolio; Emissions trading; Environmental economics; Finance","score_opus":0.022671538236987015,"score_gpt":0.30401728684492024,"score_spread":0.2813457486079332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2791880383","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0008997396,0.9914774,0.0006343447,0.005390536,0.00022359588,0.0012759867,0.0000043936843,0.000008229385,0.00008577462],"genre_scores_gemma":[0.002402614,0.9957597,0.0007366853,0.00017936243,0.00049799227,0.00006444184,0.0000079273195,0.00002612741,0.00032513234],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99817586,0.00018828297,0.00077686546,0.00033712055,0.00031645488,0.0002054332],"domain_scores_gemma":[0.99750227,0.000030879306,0.001760645,0.00038962573,0.00026136576,0.000055195174],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010628987,0.00025286182,0.0007186627,0.00023159696,0.00016786669,0.000017442497,0.00017239852,0.00023641624,0.000032482098],"category_scores_gemma":[0.0007743816,0.00014750191,0.00018408727,0.00064549135,0.0006731822,0.0002226169,0.0001179851,0.00040237844,0.0000011756944],"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":[0.00005794678,0.00016684437,0.0003274796,0.01326631,0.00022416197,0.0000025602315,0.00023019519,0.00022618478,0.00003006711,0.00011318899,0.004628594,0.9807265],"study_design_scores_gemma":[0.00013150882,0.0005965484,0.00012854271,0.017304039,0.00096021936,0.0011015969,0.0008052793,0.0000075138723,0.00017677712,0.00028933253,0.9782923,0.00020633888],"about_ca_topic_score_codex":0.000013818323,"about_ca_topic_score_gemma":0.000020268055,"teacher_disagreement_score":0.9805201,"about_ca_system_score_codex":0.0006911587,"about_ca_system_score_gemma":0.0001257959,"threshold_uncertainty_score":0.6014953},"labels":[],"label_agreement":null},{"id":"W2792471652","doi":"10.1016/b978-0-12-809597-3.00108-5","title":"1.9 Exergoenvironmental Analysis","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Environmental science","score_opus":0.007431656154821815,"score_gpt":0.2193508508666024,"score_spread":0.21191919471178058,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792471652","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.015111195,0.00009587394,0.000006796755,0.000026691652,0.00011856637,0.0005256135,0.000058100155,0.000070407346,0.98398674],"genre_scores_gemma":[0.02768743,0.000045938436,0.00034735273,0.00037483702,0.00015399091,0.000025194353,0.00007884864,0.000097193966,0.9711892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971113,0.00004086843,0.00053748454,0.0009692029,0.000767536,0.00057358365],"domain_scores_gemma":[0.99811226,0.000029992065,0.00027317536,0.0012214623,0.0000041742483,0.0003589626],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00031589714,0.00066228973,0.00070611306,0.00013487654,0.00022711369,0.000051174586,0.0005398063,0.0004283984,0.12125876],"category_scores_gemma":[0.000009344132,0.0006257719,0.0007410461,0.000048790393,0.001427687,0.000115185285,0.00084718165,0.00041173963,0.009702482],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004890036,0.000077493336,0.008184113,0.0000331407,0.0010161118,0.00013784786,0.0010647747,0.000041092964,0.00013163693,0.00014579411,0.0021086943,0.9870104],"study_design_scores_gemma":[0.00019436746,0.0001309715,0.006272082,0.000017705006,0.0011220729,0.000011283323,0.00005145301,0.000019495603,0.00010957554,0.006867659,0.9844114,0.00079188985],"about_ca_topic_score_codex":0.0000053376216,"about_ca_topic_score_gemma":0.00012375538,"teacher_disagreement_score":0.9862185,"about_ca_system_score_codex":0.0012246121,"about_ca_system_score_gemma":0.000013836337,"threshold_uncertainty_score":0.99961936},"labels":[],"label_agreement":null},{"id":"W2792802036","doi":"","title":"A Spatial Analytic Method for the Preliminary Design of a District Energy Network Utilizing Waste Heat in Mixed-Use Jurisdictions","year":2011,"lang":"en","type":"article","venue":"Library and Archives Canada (Government of Canada)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Waste heat; Energy (signal processing); Waste management; Computer science; Environmental science; Civil engineering; Engineering; Transport engineering; Mathematics; Mechanical engineering; Statistics","score_opus":0.009922062822629368,"score_gpt":0.17084783009976431,"score_spread":0.16092576727713495,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792802036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49431172,0.00074854895,0.4499231,0.002132089,0.00044300532,0.002026103,0.00042674696,0.000022112517,0.04996658],"genre_scores_gemma":[0.99133325,0.00007430588,0.007724512,0.0002029945,0.000015780244,0.000027989414,0.0000025040194,0.000011367064,0.000607315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853617,0.00013824095,0.00027740584,0.00020274038,0.0005530255,0.00029242173],"domain_scores_gemma":[0.9988843,0.00068283157,0.00008813572,0.00021371501,1.5741409e-7,0.00013085523],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004616692,0.00013745704,0.00018861344,0.000011162846,0.00015112953,0.0000073214424,0.00019159142,0.000022087755,0.000062385174],"category_scores_gemma":[0.00000818705,0.0001079175,0.000039021317,0.00011262771,0.00015610272,0.0002796188,0.00019002662,0.000072852374,9.505006e-10],"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":[0.004164496,0.00033994505,0.82088083,0.00015361767,0.00018685566,0.00006373632,0.0012836169,0.09560808,0.008506205,0.012022026,0.0013680455,0.055422563],"study_design_scores_gemma":[0.00035195466,0.00029143557,0.8012423,0.000032139284,0.000057213896,0.000003884538,0.0028992656,0.17173135,0.019824207,0.0016758353,0.001705435,0.00018498194],"about_ca_topic_score_codex":0.05721615,"about_ca_topic_score_gemma":0.05250739,"teacher_disagreement_score":0.49702153,"about_ca_system_score_codex":0.000029485838,"about_ca_system_score_gemma":0.00017474353,"threshold_uncertainty_score":0.9647819},"labels":[],"label_agreement":null},{"id":"W2792890799","doi":"10.6000/1929-6002.2017.06.03.2","title":"The Future of Research and Experimentation in Technological Design of the Relationships between Architecture, Energy and Environment","year":2018,"lang":"en","type":"article","venue":"Journal of Technology Innovations in Renewable Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Architecture; Slogan; Architectural engineering; Directive; Renewable energy; Sustainable design; Political science; Engineering; Sustainability; Computer science; Law; Geography; Ecology","score_opus":0.03306589717927545,"score_gpt":0.2976290781724585,"score_spread":0.26456318099318304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792890799","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892466,0.0006185426,0.006443533,0.0033294524,0.000030297677,0.000107691194,0.0000012386265,0.0000046429695,0.00021798209],"genre_scores_gemma":[0.99523395,0.0004874673,0.0041336054,0.000011808929,0.000018987294,0.000015232057,4.645252e-7,0.000005580335,0.00009289522],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99855596,0.0002477566,0.0005694711,0.00014413349,0.0002875163,0.00019516952],"domain_scores_gemma":[0.9990958,0.00027165734,0.00030002507,0.0002800565,0.000031235453,0.000021212407],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016922612,0.00008911261,0.00016972798,0.00042739906,0.00021704938,0.000007944983,0.00034356414,0.0002019001,0.000017021157],"category_scores_gemma":[0.0002686266,0.000054996464,0.000017678483,0.0015462945,0.00334191,0.00010169825,0.00035225286,0.00035930143,1.1560057e-7],"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":[0.0000900289,0.00024261505,0.8668733,0.0000066443204,0.000023957682,0.000003877514,0.00037185574,0.007110526,0.045409113,0.025095355,0.00020571185,0.054567005],"study_design_scores_gemma":[0.0007281691,0.0008512915,0.3223268,0.000057897778,0.000010061932,0.00005418576,0.006932404,0.00024548755,0.19680949,0.46363938,0.008208236,0.00013659656],"about_ca_topic_score_codex":0.00023631162,"about_ca_topic_score_gemma":0.00040890832,"teacher_disagreement_score":0.5445465,"about_ca_system_score_codex":0.0002331731,"about_ca_system_score_gemma":0.00002513445,"threshold_uncertainty_score":0.9993704},"labels":[],"label_agreement":null},{"id":"W2792933178","doi":"10.1007/s11367-018-1444-x","title":"Uncertainty analysis in LCA using precalculated aggregated datasets","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Monte Carlo method; Sampling (signal processing); Data mining; Uncertainty analysis; Statistics; Mathematics; Simulation","score_opus":0.016271336825801286,"score_gpt":0.33606974368314585,"score_spread":0.31979840685734456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2792933178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968435,0.000015954021,0.0010782056,0.0010612379,0.00019137819,0.00009668982,0.000025751238,0.000004534827,0.00068273285],"genre_scores_gemma":[0.99847555,0.000014185919,0.00089681236,0.00045840905,0.00010364603,7.514906e-7,0.000021134962,0.000006358685,0.000023145853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815917,0.0001721539,0.00052161585,0.00014814569,0.00080586143,0.00019307453],"domain_scores_gemma":[0.99915105,0.00007720689,0.00038389026,0.00023029675,0.000040945728,0.00011663718],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010908105,0.00011377889,0.00019634118,0.0001235909,0.000076405566,0.00006584933,0.00072267564,0.00003819338,0.0020139841],"category_scores_gemma":[0.00010972289,0.00007688338,0.00012806847,0.00042919038,0.0002661268,0.00035374428,0.00031240802,0.00019340361,0.00001747446],"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":[0.00019452124,0.0003871541,0.65359175,0.0000014490051,0.0006403107,0.000055910976,0.0004287205,0.33831963,0.0031975596,0.00003191242,0.0004428313,0.002708218],"study_design_scores_gemma":[0.0006461266,0.000096599346,0.82702774,0.000014918584,0.00012932914,0.000025019272,0.00039690643,0.1696304,0.0003465715,0.0006422928,0.0009320822,0.000112028305],"about_ca_topic_score_codex":0.001455038,"about_ca_topic_score_gemma":0.0004541251,"teacher_disagreement_score":0.17343596,"about_ca_system_score_codex":0.0012066828,"about_ca_system_score_gemma":0.000066200446,"threshold_uncertainty_score":0.9988983},"labels":[],"label_agreement":null},{"id":"W2793161188","doi":"10.1016/b978-0-12-809597-3.00134-6","title":"1.27 Life Cycle Assessment of Energy","year":2018,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Life-cycle assessment; Renewable energy; Production (economics); Energy (signal processing); Risk analysis (engineering); Computer science; Engineering; Environmental economics; Business; Economics; Mathematics","score_opus":0.00897109925094565,"score_gpt":0.24463271349102372,"score_spread":0.2356616142400781,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793161188","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0041223923,0.00009636343,0.000020358228,0.000037310703,0.0001887757,0.00026456744,0.000028026558,0.00003110257,0.9952111],"genre_scores_gemma":[0.068566374,0.000046118923,0.0005662013,0.00040160614,0.00012236001,0.000013385174,0.00001655304,0.00006760712,0.9301998],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979674,0.000042275595,0.00051250955,0.00051423756,0.0006070294,0.000356524],"domain_scores_gemma":[0.99855113,0.00003126858,0.00031720285,0.0008052581,0.00001081571,0.00028431247],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002908296,0.0004017329,0.0005073494,0.00004703636,0.00008751681,0.000018359191,0.00040338468,0.00029797005,0.025352359],"category_scores_gemma":[0.00001556569,0.00036736595,0.0002642193,0.000013623689,0.00095875806,0.00007585909,0.0005927889,0.00024165501,0.00039206046],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025126235,0.000104405735,0.0031780943,0.00009430675,0.00013468982,0.000024554489,0.0003789554,0.00005221035,0.00023451746,0.0035409983,0.0020989578,0.99013317],"study_design_scores_gemma":[0.00021004691,0.0002079355,0.0044768997,0.00005513013,0.00007420361,0.00000390221,0.000026716698,0.000068132016,0.00011150679,0.021465193,0.9728587,0.00044157793],"about_ca_topic_score_codex":0.000009925605,"about_ca_topic_score_gemma":0.00006700649,"teacher_disagreement_score":0.9896916,"about_ca_system_score_codex":0.00055063434,"about_ca_system_score_gemma":0.000060679802,"threshold_uncertainty_score":0.9998778},"labels":[],"label_agreement":null},{"id":"W2793881343","doi":"10.2175/193864714816196538","title":"Biosolids Beneficial Use Options for the Edmonton Region, Alberta","year":2014,"lang":"en","type":"article","venue":"Proceedings of the Water Environment Federation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biosolids; Environmental science; Environmental planning; Water resource management; Environmental engineering","score_opus":0.010933844892998992,"score_gpt":0.197910085613247,"score_spread":0.186976240720248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2793881343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9868195,0.000005892155,0.0016996759,0.009428926,0.00009544274,0.0010453236,0.0000031444285,0.000014575168,0.0008875214],"genre_scores_gemma":[0.99344,0.000026927964,0.0005115801,0.00029937434,0.00008501898,0.00012624843,0.000008029489,0.000020185173,0.0054826373],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987899,0.000018807428,0.0002838157,0.00029987504,0.00030383366,0.00030378945],"domain_scores_gemma":[0.99951035,0.00007835844,0.00012250865,0.0002261187,0.0000072224916,0.000055440592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039661312,0.00017838209,0.0001302631,0.000014072655,0.0007540188,0.000129817,0.0003277703,0.00007989653,0.00016373368],"category_scores_gemma":[0.000089360976,0.00008364847,0.0001338736,0.00004280605,0.00031026834,0.0005371136,0.00030944307,0.00009324825,0.000037298254],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029295968,0.0007414537,0.34468967,0.0000954905,0.00008528319,9.865306e-8,0.00727238,0.018243192,0.60880786,0.0034428157,0.008640302,0.007688503],"study_design_scores_gemma":[0.0010172039,0.00039034465,0.29992732,0.000018933619,0.00019822438,0.0000104308265,0.00061319105,0.016858723,0.532314,0.011923494,0.13617118,0.0005569624],"about_ca_topic_score_codex":0.00036471614,"about_ca_topic_score_gemma":0.000075039155,"teacher_disagreement_score":0.12753087,"about_ca_system_score_codex":0.00024071436,"about_ca_system_score_gemma":0.0000017745231,"threshold_uncertainty_score":0.5799379},"labels":[],"label_agreement":null},{"id":"W2794836418","doi":"10.1016/j.watres.2018.03.075","title":"Water footprint characteristic of less developed water-rich regions: Case of Yunnan, China","year":2018,"lang":"en","type":"article","venue":"Water Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Major Science and Technology Program for Water Pollution Control and Treatment","keywords":"Footprint; China; Water resource management; Water use; Environmental science; Geography; Environmental protection; Hydrology (agriculture); Geology; Archaeology; Biology; Ecology; Geotechnical engineering","score_opus":0.0691012365950696,"score_gpt":0.34804841091606775,"score_spread":0.27894717432099814,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794836418","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995254,0.0000046899463,0.000057905552,0.00061005267,0.00005675212,0.00048623918,0.000006765005,0.000014968332,0.0035086293],"genre_scores_gemma":[0.9952505,0.000010202768,0.00016628286,0.000015926164,0.000040066207,0.00003764441,0.000020059473,0.00002514585,0.004434179],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9971309,0.00036435752,0.00045941374,0.00043296113,0.000615923,0.0009964663],"domain_scores_gemma":[0.9989878,0.000018374636,0.000032522497,0.00071197003,0.00005706429,0.00019228343],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002178843,0.0001827944,0.00027949995,0.00011609434,0.00029415207,0.0000311601,0.0004508933,0.00010725641,0.0025846302],"category_scores_gemma":[0.000058189315,0.000095107505,0.0000677874,0.00015128344,0.0017413931,0.00017369843,0.0014448988,0.0002771055,0.0006882398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001926643,0.0004030857,0.050106723,0.00013889947,0.000024162742,0.00032520393,0.018214928,0.000008147456,0.9240763,0.000028995846,0.000094993105,0.006385906],"study_design_scores_gemma":[0.0002993202,0.00036393778,0.07330255,0.00001603934,0.0000070003343,0.00012773447,0.00092899456,0.00003878894,0.92049116,0.0016121368,0.002646278,0.00016607589],"about_ca_topic_score_codex":0.0029913762,"about_ca_topic_score_gemma":0.00027547416,"teacher_disagreement_score":0.023195831,"about_ca_system_score_codex":0.00031995637,"about_ca_system_score_gemma":0.000012808327,"threshold_uncertainty_score":0.99832714},"labels":[],"label_agreement":null},{"id":"W2794870692","doi":"10.1021/acs.est.7b06478","title":"Occurrence of Single- and Double-Peaked Emission Profiles of Synthetic Chemicals","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Environmental science; Work (physics); Categorization; Biochemical engineering; Computer science; Engineering","score_opus":0.008591294371426804,"score_gpt":0.23971718741071416,"score_spread":0.23112589303928735,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2794870692","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670374,0.00006307245,0.000049963885,0.00017927038,0.000043205764,0.0003170615,0.000022918464,0.00003611166,0.002584635],"genre_scores_gemma":[0.9990793,0.000024666624,0.00075989007,0.000020171346,0.0000061470673,0.000013194381,0.0000029103014,0.000006228699,0.000087487126],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980437,0.000021482936,0.00037453973,0.00059475587,0.00049729383,0.0004681845],"domain_scores_gemma":[0.9990602,0.000028089933,0.00021769118,0.00053541985,0.000004602677,0.00015396078],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004262111,0.00019535772,0.00026259574,0.00016414843,0.00019243972,0.0000090569165,0.00061396783,0.0001414568,0.0013396766],"category_scores_gemma":[0.0000912885,0.00016775883,0.000042106116,0.0006983239,0.01854596,0.00031633288,0.0010528133,0.00013172161,0.00005356811],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000030148212,0.0002302824,0.2082194,0.000008473088,0.0000019790102,9.4401287e-7,0.00022625474,0.0000026418813,0.7816882,0.000038084498,0.00002153904,0.009532044],"study_design_scores_gemma":[0.00031995535,0.00049206946,0.05240133,0.000018215178,0.000011008661,0.000021980582,0.00065504195,0.000053556385,0.94450754,0.00074154534,0.0006062755,0.00017148865],"about_ca_topic_score_codex":0.000026659232,"about_ca_topic_score_gemma":0.0000020161362,"teacher_disagreement_score":0.16281933,"about_ca_system_score_codex":0.0003496592,"about_ca_system_score_gemma":0.000016442013,"threshold_uncertainty_score":0.99957323},"labels":[],"label_agreement":null},{"id":"W2797852552","doi":"10.55016/ojs/sppp.v10i1.43056","title":"Big and Little Feet Provincial Profiles: Quebec","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Geography; Political science","score_opus":0.027173131937615915,"score_gpt":0.2936785294128381,"score_spread":0.2665053974752222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2797852552","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8405072,0.000024695271,0.00011837011,0.06710753,0.000042771666,0.00057645986,0.000054440316,0.000048712376,0.091519825],"genre_scores_gemma":[0.98133427,0.00001545698,0.0001999127,0.00034717098,0.0001853013,0.000105345,0.000010993134,0.000012707203,0.017788844],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986907,0.00010887172,0.00025165372,0.00026026194,0.00029920996,0.00038930014],"domain_scores_gemma":[0.99791497,0.000051618157,0.00026261163,0.0014128981,0.000024583824,0.0003333171],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008359007,0.0001373701,0.00014069738,0.00008040797,0.0009434313,0.00043908638,0.0010558056,0.000072476796,0.0009977869],"category_scores_gemma":[0.0029378494,0.000097232085,0.000059381076,0.00021917958,0.001713243,0.0011698466,0.00084854994,0.00017205454,0.00019490579],"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":[0.000006570089,0.00025323316,0.9046041,0.000016335374,0.00002364587,2.0676895e-7,0.0005133488,0.00000322655,0.0014639421,0.037536144,0.014607637,0.04097163],"study_design_scores_gemma":[0.00018755556,0.000024700506,0.9460089,0.000002126992,0.000008811173,0.0000035091934,0.00022925058,0.000033343444,0.00020711451,0.0057308837,0.047458228,0.00010554036],"about_ca_topic_score_codex":0.04697758,"about_ca_topic_score_gemma":0.008211342,"teacher_disagreement_score":0.14082707,"about_ca_system_score_codex":0.0004023502,"about_ca_system_score_gemma":0.00031189254,"threshold_uncertainty_score":0.9999154},"labels":[],"label_agreement":null},{"id":"W2801325181","doi":"10.55016/ojs/sppp.v10i1.43054","title":"Big and Little Feet Provincial Profiles: Manitoba","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Greenhouse gas; Consumption (sociology); Context (archaeology); Production (economics); Agricultural economics; Investment (military); Environmental science; Business; Natural resource economics; Economics; Geography; Political science; Archaeology","score_opus":0.03286845357140871,"score_gpt":0.29160812034812034,"score_spread":0.2587396667767116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801325181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86269695,0.000022348622,0.00007488051,0.043812595,0.000044021137,0.0005356943,0.000053742224,0.000044540564,0.092715256],"genre_scores_gemma":[0.99406165,0.00002163816,0.00024149593,0.00034379982,0.00021542469,0.00010898606,0.000010348378,0.000013374784,0.004983275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986971,0.00010274697,0.00024691116,0.00025853765,0.00030445127,0.00039027646],"domain_scores_gemma":[0.9979525,0.000048148584,0.00025671558,0.0013976436,0.000024398969,0.0003205748],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082930457,0.00013737178,0.00013621185,0.00008067647,0.0009918096,0.00040699888,0.0010827438,0.00006999758,0.00073797477],"category_scores_gemma":[0.0025447863,0.00009808473,0.000057343965,0.00021002443,0.0015055599,0.0010520441,0.0008944914,0.00017400835,0.00022312546],"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":[0.000004822843,0.00018928599,0.94827044,0.0000125258985,0.000017861841,1.8869447e-7,0.00024877986,0.0000025438508,0.0009068668,0.019016797,0.00886593,0.022463953],"study_design_scores_gemma":[0.00018982922,0.000031384043,0.95946884,0.0000020807415,0.000009487936,0.0000052474893,0.00034344464,0.00003252798,0.0002109228,0.008151076,0.031449173,0.000106009036],"about_ca_topic_score_codex":0.010294071,"about_ca_topic_score_gemma":0.0019661516,"teacher_disagreement_score":0.13136473,"about_ca_system_score_codex":0.00034486369,"about_ca_system_score_gemma":0.00018946685,"threshold_uncertainty_score":0.99629647},"labels":[],"label_agreement":null},{"id":"W2801662373","doi":"10.13031/trans.12407","title":"Development of a Framework for the Assessment of Energy Demand-Based Greenhouse Gas Mitigation Options for the Agriculture Sector","year":2018,"lang":"en","type":"article","venue":"Transactions of the ASABE","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Alberta Innovates; Cenovus Energy","keywords":"Greenhouse gas; Agriculture; Renewable energy; Climate change mitigation; Environmental science; Time horizon; Energy consumption; Environmental economics; Natural resource economics; Environmental engineering; Engineering; Business; Economics","score_opus":0.01387053655439633,"score_gpt":0.2661044043962926,"score_spread":0.2522338678418963,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2801662373","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.25482503,0.00002360249,0.7433236,0.0009940785,0.00008384565,0.0006411227,0.00005028184,0.000006905628,0.000051511615],"genre_scores_gemma":[0.94923663,0.000011851132,0.050281644,0.000066579516,0.00001993037,0.00021614581,0.000003455563,0.000008618593,0.00015513947],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9991814,0.00004526902,0.000271756,0.00012598417,0.00022878409,0.00014684441],"domain_scores_gemma":[0.99897665,0.00042115073,0.00017041931,0.000373626,0.000029127672,0.00002904917],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033030045,0.00010150645,0.00011953436,0.00001197698,0.00046658036,0.0000070168444,0.00033916987,0.000064762186,0.00023330214],"category_scores_gemma":[0.000028777522,0.00004914791,0.00018828621,0.00018064615,0.0005060532,0.00007145202,0.000017878032,0.000073898555,6.1044983e-7],"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":[0.00084968546,0.0064596576,0.044091843,0.0006804376,0.0015019062,1.4896811e-7,0.0181823,0.46787986,0.35457492,0.012446816,0.002494664,0.09083777],"study_design_scores_gemma":[0.0011810531,0.00059531437,0.4485668,0.000088230496,0.0005251466,0.0000017041101,0.0031651293,0.033245254,0.49519917,0.007144518,0.010000673,0.0002870065],"about_ca_topic_score_codex":0.0001230156,"about_ca_topic_score_gemma":0.0006216948,"teacher_disagreement_score":0.69441164,"about_ca_system_score_codex":0.00014668105,"about_ca_system_score_gemma":0.000041833144,"threshold_uncertainty_score":0.3588606},"labels":[],"label_agreement":null},{"id":"W2802175507","doi":"10.7939/r3xp6vg20","title":"Expanding Irrigated Agriculture in Alberta: An Economic Impact Assessment","year":2017,"lang":"en","type":"article","venue":"University of Alberta Library","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Irrigated agriculture; Agriculture; Economic impact analysis; Irrigation; Water resource management; Agricultural economics; Environmental planning; Natural resource economics; Geography; Environmental science; Economics; Agronomy","score_opus":0.0060371065056687885,"score_gpt":0.22496786986702702,"score_spread":0.21893076336135822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802175507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.90336627,0.0000025237994,0.0000027984288,0.0004463988,0.000030879743,0.00014434452,0.0000039056154,0.000008690598,0.09599416],"genre_scores_gemma":[0.99209195,0.000013995443,0.00033666426,0.00002579849,0.000010933077,1.7558398e-7,0.000038914757,0.00000863737,0.0074729393],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992108,0.000057633493,0.000112619724,0.00028186917,0.00009249752,0.0002446272],"domain_scores_gemma":[0.99914694,0.00004932759,0.00014065717,0.00048354594,8.2827484e-7,0.00017873239],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006687267,0.00014133644,0.00018742721,0.00003372783,0.00027432147,0.000055136727,0.00059604004,0.0000939244,0.0073850476],"category_scores_gemma":[0.000010011385,0.00013248993,0.00009274673,0.000039175728,0.00030231144,0.0034156567,0.00048680877,0.00012713268,0.00009122988],"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":[0.000044057535,0.000109287714,0.9945128,0.0000048362185,0.000014574584,0.000013882451,0.0022374755,0.0011221892,0.0005298316,0.00012870406,0.0009993582,0.0002830302],"study_design_scores_gemma":[0.0005093179,0.0001053165,0.9949583,0.000010249645,0.000010735756,0.0000022704771,0.001195006,0.00080033555,0.00051946007,0.00034979466,0.0013667289,0.00017250258],"about_ca_topic_score_codex":0.11316954,"about_ca_topic_score_gemma":0.018938314,"teacher_disagreement_score":0.09423123,"about_ca_system_score_codex":0.0005056976,"about_ca_system_score_gemma":0.000039202783,"threshold_uncertainty_score":0.99896353},"labels":[],"label_agreement":null},{"id":"W2802689193","doi":"10.1139/tcsme-2012-0010","title":"CALCULATION AND APPLICATION OF HOURLY EMISSION FACTORS FOR INCREASED ACCURACY IN SCOPE TWO EMISSION CALCULATIONS","year":2012,"lang":"en","type":"article","venue":"Transactions of the Canadian Society for Mechanical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Niagara College","funders":"","keywords":"Scope (computer science); Renewable energy; Greenhouse gas; Electricity; Environmental science; Grid; Scale (ratio); Environmental economics; Computer science; Engineering; Mathematics; Electrical engineering; Physics; Economics","score_opus":0.009316009128460997,"score_gpt":0.2437240418351397,"score_spread":0.2344080327066787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802689193","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80714154,0.00003064062,0.19193873,0.00011073011,0.000034400422,0.00066272204,0.0000656382,0.0000074876266,0.000008132884],"genre_scores_gemma":[0.99519366,0.000004798085,0.0046897247,0.0000126313425,0.000007900588,0.000050528077,0.00001271886,0.0000113904025,0.000016631575],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99938446,0.000010194767,0.00019313951,0.00010626953,0.00009860121,0.00020730845],"domain_scores_gemma":[0.9994713,0.00013584351,0.00005213012,0.00014253144,0.0000073055735,0.00019089671],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025651918,0.00008542467,0.00011145065,0.000022177303,0.00014019283,0.000004300646,0.00008442587,0.00008857629,0.000019146082],"category_scores_gemma":[0.000092564704,0.000072519746,0.00016677064,0.0001612298,0.000044685854,0.0001845449,0.000008645639,0.00008073208,1.1032328e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00003919287,0.0002667677,0.087936066,0.0003878776,0.000068323454,3.0916574e-8,0.0027285046,0.19899325,0.69344854,0.0012448855,0.00009589093,0.014790693],"study_design_scores_gemma":[0.0012977419,0.00007331096,0.2527297,0.00007037995,0.00013192729,0.0000016098434,0.00058852264,0.56561834,0.17701863,0.00047431866,0.0016683753,0.0003271395],"about_ca_topic_score_codex":0.0285438,"about_ca_topic_score_gemma":0.0049432837,"teacher_disagreement_score":0.5164299,"about_ca_system_score_codex":0.00052701135,"about_ca_system_score_gemma":0.00002621633,"threshold_uncertainty_score":0.9779252},"labels":[],"label_agreement":null},{"id":"W2802985882","doi":"10.1021/acs.est.7b04517","title":"Novel Method of Sensitivity Analysis Improves the Prioritization of Research in Anticipatory Life Cycle Assessment of Emerging Technologies","year":2018,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"Division of Engineering Education and Centers; Division of Electrical, Communications and Cyber Systems; United States Agency for International Development; U.S. Environmental Protection Agency","keywords":"Commercialization; Life-cycle assessment; Sensitivity (control systems); Risk analysis (engineering); Computer science; Reduction (mathematics); Emerging technologies; Biochemical engineering; Prioritization; Uncertainty analysis; Reliability engineering; Environmental science; Environmental economics; Operations research; Management science; Engineering; Production (economics); Mathematics; Business; Artificial intelligence; Economics; Simulation","score_opus":0.02192947539332627,"score_gpt":0.3810471709528762,"score_spread":0.3591176955595499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802985882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872933,0.000036248824,0.011081076,0.0004134282,0.000030053157,0.0004103454,0.000012828497,0.00003206224,0.00069068116],"genre_scores_gemma":[0.98710793,0.000036930778,0.012798874,0.000011015357,0.000004455755,0.000018444207,0.0000013527236,0.000008093849,0.000012896764],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9971735,0.00018243268,0.0005527668,0.0005681934,0.00097087433,0.0005522468],"domain_scores_gemma":[0.9985948,0.00016880165,0.0003134802,0.00085290347,0.000016059666,0.000053935277],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0049222587,0.00015737087,0.0003848751,0.00097284664,0.00025842176,0.000008168546,0.00076742197,0.00016596453,0.0001087406],"category_scores_gemma":[0.00033360726,0.00012472231,0.00008576436,0.005774681,0.0173418,0.0003289794,0.0015990253,0.00033015147,0.000003888039],"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":[0.000006368816,0.00026959958,0.3997851,0.000007669856,0.000014053247,7.898464e-7,0.00030013602,0.0017114476,0.58976704,0.00031801345,5.928751e-7,0.007819201],"study_design_scores_gemma":[0.0001483432,0.00022174546,0.7030469,0.000009227073,0.000030424959,0.000003351476,0.007364005,0.0158469,0.27232483,0.0008907994,0.000018766475,0.00009465615],"about_ca_topic_score_codex":0.00072490406,"about_ca_topic_score_gemma":0.00016806067,"teacher_disagreement_score":0.31744218,"about_ca_system_score_codex":0.0006556888,"about_ca_system_score_gemma":0.000057226807,"threshold_uncertainty_score":0.9853324},"labels":[],"label_agreement":null},{"id":"W2803214518","doi":"10.11575/sppp.v10i0.43057","title":"Big and Little Feet Provincial Profiles: New Brunswick","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Nova scotia; Greenhouse gas; Consumption (sociology); Context (archaeology); Production (economics); Electricity; Investment (military); Agricultural economics; Business; Economics; Geography; Environmental science; Political science; Engineering","score_opus":0.021624334905584235,"score_gpt":0.29415801923545976,"score_spread":0.2725336843298755,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803214518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8780434,0.00001421554,8.687881e-7,0.000523006,0.000061829465,0.00041178736,0.000003552662,0.000010709178,0.12093061],"genre_scores_gemma":[0.9862182,0.00044825938,0.0002964512,0.000060702234,0.000116219584,0.000015771013,0.000002656867,0.000019184308,0.012822516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984764,0.000076257005,0.00021035555,0.00047118784,0.00018515365,0.0005806881],"domain_scores_gemma":[0.99880695,0.00007467714,0.00007218684,0.00074115244,0.000003516819,0.0003015273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008646176,0.00013573216,0.00017202874,0.000044777116,0.00047618718,0.00018166224,0.00045909552,0.00010906191,0.00046008872],"category_scores_gemma":[0.0004609538,0.0001311929,0.000040140458,0.000033163455,0.0010140303,0.0003478747,0.0008732708,0.00031966655,0.00006535851],"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":[0.00004015322,0.0000655871,0.65233773,0.000011375248,0.0000037643697,0.000010285151,0.00030231787,0.000038739858,0.00034162353,0.00007554739,0.00009184033,0.34668106],"study_design_scores_gemma":[0.00050239894,0.0001204283,0.97098607,0.000009502765,0.000001703601,0.0000056174094,0.00047597368,0.0004140053,0.0005167898,0.0011274539,0.025665797,0.00017428047],"about_ca_topic_score_codex":0.004664197,"about_ca_topic_score_gemma":0.0076698964,"teacher_disagreement_score":0.34650677,"about_ca_system_score_codex":0.00083212275,"about_ca_system_score_gemma":0.00019308405,"threshold_uncertainty_score":0.70509017},"labels":[],"label_agreement":null},{"id":"W2803282281","doi":"","title":"Calibration and Performance Evaluation of the STICS Crop Model using Destructive and Micrometeorological Flux Datasets for Corn in Eastern Canada","year":2010,"lang":"en","type":"article","venue":"29th Conf. on Agricultural and Forest Meteorology/19th Symp. on Boundary Layers and Turbulence/Ninth Symp. on the Urban Environment (1-6 August 2010)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"","keywords":"Calibration; Flux (metallurgy); Environmental science; Crop; Agronomy; Atmospheric sciences; Remote sensing; Zea mays; Agricultural engineering; Meteorology; Geography; Mathematics; Geology; Statistics; Engineering; Materials science; Biology","score_opus":0.017890653228371807,"score_gpt":0.2166912169576188,"score_spread":0.198800563729247,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803282281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973717,0.000113803486,0.00002078355,0.0006105421,0.00016631688,0.0013000775,0.00027951013,0.000007607336,0.00012970157],"genre_scores_gemma":[0.9987056,0.00009485096,0.00022047384,0.00054354285,0.000031265776,0.00006695517,0.000073463045,0.000015364962,0.00024843344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977347,0.00022580271,0.00041046174,0.00067377737,0.000493042,0.00046218332],"domain_scores_gemma":[0.99891716,0.00024149824,0.0002757674,0.00036393772,0.000012739903,0.0001888894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082141714,0.00042082617,0.00036914911,0.000041575026,0.000607468,0.0000789076,0.00025151597,0.00021872329,0.00015365097],"category_scores_gemma":[0.000089149224,0.0002254186,0.000050127663,0.00009111605,0.0018411573,0.00028087167,0.00028282337,0.0004847025,0.0000018836935],"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":[0.0014585399,0.00051053124,0.91729295,0.00010599551,0.00012870219,0.0000055870883,0.0015263959,0.042547856,0.025281414,0.0023411678,0.0018413522,0.006959525],"study_design_scores_gemma":[0.0011092925,0.00077072624,0.8812285,0.0000331232,0.00011486296,0.000028893224,0.00031508514,0.113941334,0.0007405123,0.0010586374,0.00032874395,0.00033029143],"about_ca_topic_score_codex":0.0034578382,"about_ca_topic_score_gemma":0.0044088587,"teacher_disagreement_score":0.071393475,"about_ca_system_score_codex":0.0002611528,"about_ca_system_score_gemma":0.00005686729,"threshold_uncertainty_score":0.91923034},"labels":[],"label_agreement":null},{"id":"W2803402173","doi":"10.1080/09535314.2018.1474854","title":"Development of environmentally extended social accounting matrices for policy analysis in Alberta","year":2018,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"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 Calgary","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Social accounting matrix; Consumption (sociology); Electricity; Production (economics); National accounts; Environmental economics; Economics; Environmental accounting; Business; Natural resource economics; Microeconomics; Accounting; Engineering","score_opus":0.03601223119488915,"score_gpt":0.36430943483552686,"score_spread":0.3282972036406377,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2803402173","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9892398,0.000017913508,0.000095187104,0.00016263517,0.000042526448,0.00067594694,0.0000127130215,0.0000053484373,0.0097479],"genre_scores_gemma":[0.9972008,0.000003831605,0.0006350927,0.0000086052705,0.00015067859,0.0001269714,0.000011698222,0.000016071634,0.0018462596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978939,0.00014926276,0.0006026464,0.0004310154,0.00030666523,0.0006165047],"domain_scores_gemma":[0.9992988,0.00018577525,0.00014841589,0.0002697964,0.0000069463945,0.00009024724],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0025454613,0.00013530656,0.0003273984,0.00037581925,0.00029950004,0.00005447826,0.00040035916,0.000097440316,0.0008009914],"category_scores_gemma":[0.00007337686,0.0001356801,0.00010191019,0.00047626445,0.00055438885,0.00025394448,0.00031295483,0.00010337997,0.00038909793],"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":[0.00020951057,0.00041623434,0.955389,0.0001567019,0.00032315459,0.000001617547,0.017198589,0.0013524512,0.009813598,0.0009263977,0.0008864268,0.013326324],"study_design_scores_gemma":[0.0007081983,0.0001047484,0.9637604,0.000011253092,0.00002474942,0.0000013519584,0.0065751276,0.0075481846,0.0029967758,0.00027942186,0.017699303,0.00029051484],"about_ca_topic_score_codex":0.018981593,"about_ca_topic_score_gemma":0.0074321497,"teacher_disagreement_score":0.016812876,"about_ca_system_score_codex":0.0034100616,"about_ca_system_score_gemma":0.00009567408,"threshold_uncertainty_score":0.9875511},"labels":[],"label_agreement":null},{"id":"W2804011847","doi":"10.3390/su10061750","title":"A Functionality Based Wood Substitutability Index","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Scarcity; Substitution (logic); Resource (disambiguation); Index (typography); Environmental economics; Resource depletion; Resource scarcity; Value (mathematics); Scale (ratio); Resource use; Computer science; Natural resource economics; Environmental resource management; Environmental science; Economics; Microeconomics; Ecology; Geography","score_opus":0.007101317934736145,"score_gpt":0.24998479363998666,"score_spread":0.2428834757052505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804011847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9771536,0.000009398308,0.0064224047,0.0014758329,0.00019468548,0.0009386741,0.000015340152,0.00019523528,0.013594814],"genre_scores_gemma":[0.9978323,3.7125534e-7,0.00044334694,0.0006025021,0.00011702497,0.00008943926,0.000013351871,0.000021329073,0.00088033767],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99662876,0.00037896427,0.00047417835,0.000970434,0.0006867628,0.0008608801],"domain_scores_gemma":[0.99784034,0.00014471837,0.000109922636,0.0013473991,0.00016468429,0.00039290995],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017976905,0.000342136,0.00031009462,0.00004585767,0.00054472877,0.00005737758,0.0004275159,0.00019232827,0.018814312],"category_scores_gemma":[0.0018587186,0.00031486887,0.00020969773,0.0006597764,0.003397233,0.00055769394,0.000429829,0.0003093916,0.00045457346],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000248717,0.00064659934,0.992981,0.00005390146,0.000007645899,0.0000063655093,0.00024727895,0.00034952775,0.000084077954,0.00039404526,0.0006250884,0.00435573],"study_design_scores_gemma":[0.0005519513,0.0002421801,0.9464484,0.0000020957143,0.000014930786,0.0000029713933,0.00039123962,0.0016409173,0.00082194275,0.035065606,0.014472274,0.00034552556],"about_ca_topic_score_codex":0.0019157486,"about_ca_topic_score_gemma":0.00063580985,"teacher_disagreement_score":0.046532657,"about_ca_system_score_codex":0.0055027353,"about_ca_system_score_gemma":0.00026636865,"threshold_uncertainty_score":0.9999303},"labels":[],"label_agreement":null},{"id":"W2804030116","doi":"10.1155/2018/9213648","title":"Uncertainty Analysis for Natural Gas Transport Pipeline Network Layout: A New Methodology Based on Monte Carlo Method","year":2018,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Pipeline (software); Natural gas; Monte Carlo method; Computer science; Pipeline transport; Dominance (genetics); Fossil fuel; Operations research; Mathematical optimization; Engineering; Environmental engineering; Mathematics; Statistics","score_opus":0.020342543431838223,"score_gpt":0.31938751403910154,"score_spread":0.2990449706072633,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2804030116","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5268957,0.000038701248,0.4720685,0.0004205386,0.00023416363,0.00025532808,0.00002003818,0.000011573324,0.000055427943],"genre_scores_gemma":[0.7499264,0.000009596846,0.24921902,0.00042581477,0.00019402553,0.000005550952,0.00003422106,0.000015087391,0.00017031131],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9980138,0.0001678221,0.00072823215,0.00030228685,0.00041544266,0.00037245062],"domain_scores_gemma":[0.9986887,0.00032046498,0.00049011945,0.00022055906,0.00006196883,0.00021818485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012790632,0.00022481737,0.00052425754,0.000115780684,0.00012819702,0.000008518343,0.00020144317,0.000099046665,0.00037520152],"category_scores_gemma":[0.00008823263,0.0001842344,0.00052102236,0.0006235427,0.00014103015,0.0003414612,0.0000026596983,0.00023770293,0.0000022426348],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020671268,0.000088297005,0.06432458,0.0000097235115,0.000100653844,0.000011263271,0.001165857,0.9181095,0.0013114779,0.000014086943,0.00013882788,0.012658611],"study_design_scores_gemma":[0.0031531404,0.0016296979,0.9054405,0.000027273401,0.0013451183,0.0000050655663,0.00074299774,0.07720517,0.001662444,0.0025621292,0.0058611524,0.00036531044],"about_ca_topic_score_codex":0.00028480997,"about_ca_topic_score_gemma":0.0024683776,"teacher_disagreement_score":0.8411159,"about_ca_system_score_codex":0.0003009404,"about_ca_system_score_gemma":0.000045593708,"threshold_uncertainty_score":0.7512861},"labels":[],"label_agreement":null},{"id":"W2805484995","doi":"10.5539/jsd.v11n3p158","title":"Is Plastic Bag Ordinance Effective? Evidence from Carbon Emissions in China","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Beijing; Hindsight bias; China; Plastic bag; Greenhouse gas; Population; Carbon dioxide; Carbon fibers; Consumption (sociology); Environmental science; Natural resource economics; Business; Waste management; Economics; Law; Engineering; Environmental health; Political science; Chemistry; Mathematics","score_opus":0.007164095958058861,"score_gpt":0.24137314705024968,"score_spread":0.2342090510921908,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805484995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997466,0.00021934575,0.0003365318,0.00033054443,0.00016261161,0.00034925784,5.543822e-7,0.000008396619,0.0011267337],"genre_scores_gemma":[0.9953046,0.000047216043,0.002627864,0.00008696087,0.00007585912,0.000017108856,4.5799237e-7,0.000016391048,0.0018235708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977345,0.00012683167,0.00061591074,0.0003175493,0.0005934431,0.00061178516],"domain_scores_gemma":[0.9989366,0.00021358598,0.00030126437,0.00024435774,0.000048115733,0.00025605774],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010481733,0.00023241126,0.00033012798,0.00012938582,0.00019780839,0.000043234944,0.00039501753,0.000097321965,0.0013599794],"category_scores_gemma":[0.0008288483,0.00019086341,0.00007097658,0.0005105598,0.00027179322,0.0006461044,0.00040110797,0.0003285605,0.00004946096],"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":[0.00027893722,0.00028210224,0.9763051,0.000044093093,0.000027103755,0.0005356306,0.012340153,0.00036992246,0.004972369,0.0000059931567,0.0005816877,0.0042569013],"study_design_scores_gemma":[0.00054816925,0.0002954838,0.9771325,0.0001902608,0.0000140007,0.000019126423,0.003205,0.00030236447,0.012920942,0.0007029157,0.00443708,0.00023214176],"about_ca_topic_score_codex":0.00135725,"about_ca_topic_score_gemma":0.00007572752,"teacher_disagreement_score":0.009135152,"about_ca_system_score_codex":0.0033207962,"about_ca_system_score_gemma":0.00020006251,"threshold_uncertainty_score":0.9995529},"labels":[],"label_agreement":null},{"id":"W2805641686","doi":"10.55016/ojs/sppp.v10i1.43051","title":"Big and Little Feet Provincial Profiles: British Columbia","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Environmental Impact and Sustainability","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 Calgary","funders":"Alberta Innovates","keywords":"Geography","score_opus":0.02140753901769978,"score_gpt":0.2731923141523429,"score_spread":0.25178477513464315,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805641686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9091294,0.000026796864,0.00004554724,0.0191925,0.000039815484,0.00057141355,0.000111163885,0.00004611491,0.070837244],"genre_scores_gemma":[0.9768235,0.00002997149,0.00020687067,0.00032197483,0.00017151871,0.00012641643,0.000014206589,0.000014278208,0.022291278],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986319,0.000105159954,0.00026236256,0.00028365065,0.00030937983,0.00040756975],"domain_scores_gemma":[0.9981087,0.000043778866,0.00025693286,0.0012101355,0.000029286939,0.0003512043],"candidate_categories":["sts","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00084393565,0.00009888697,0.00014750699,0.000037578695,0.0013148664,0.001568118,0.0010285919,0.00007675627,0.0021875564],"category_scores_gemma":[0.0031824678,0.000106336716,0.000059986487,0.00022389744,0.0017416012,0.0011035638,0.0008606104,0.00017635495,0.00011100949],"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":[0.0000013808195,0.00014880236,0.94340104,0.000009301408,0.000012218777,2.5553646e-7,0.00011010438,7.0870374e-7,0.0002806926,0.0012020201,0.028564654,0.0262688],"study_design_scores_gemma":[0.00021421612,0.000030811916,0.9507549,0.0000034362306,0.000009035509,0.000012294881,0.00015235358,0.000023039081,0.000026984435,0.0066495724,0.04201249,0.000110901616],"about_ca_topic_score_codex":0.14317854,"about_ca_topic_score_gemma":0.047984954,"teacher_disagreement_score":0.09519358,"about_ca_system_score_codex":0.00029449942,"about_ca_system_score_gemma":0.00022888403,"threshold_uncertainty_score":0.9999853},"labels":[],"label_agreement":null},{"id":"W2807328923","doi":"10.1007/s13762-018-1813-9","title":"An integrated life cycle inventory and artificial neural network model for mining air pollution management","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Science and Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Artificial neural network; Life-cycle assessment; Environmental science; Particulates; Gold mining; Life cycle inventory; Pollution; Air pollution; Coal mining; Inventory analysis; Emission inventory; Environmental engineering; Engineering; Waste management; Coal; Computer science; Artificial intelligence","score_opus":0.009908625303685374,"score_gpt":0.25917404231111374,"score_spread":0.24926541700742835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2807328923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954908,0.000041832256,0.0024997247,0.0014337759,0.00019835058,0.00015121634,0.00000818193,0.00001336364,0.0001627738],"genre_scores_gemma":[0.9937129,0.00004235412,0.0055089644,0.00058946,0.00009565629,0.0000058439,0.0000017478661,0.0000073979295,0.00003566221],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998677,0.00001807156,0.0002913663,0.00027247026,0.00045638092,0.00028467065],"domain_scores_gemma":[0.9995043,0.000009490575,0.0001723326,0.00012067827,0.000019274232,0.00017388331],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006526913,0.000120135635,0.00012128024,0.00016240576,0.0002631072,0.000043178552,0.00044495086,0.000070525595,0.00009186879],"category_scores_gemma":[0.000052276184,0.0001048394,0.000027541915,0.00018687895,0.0026850698,0.00072100543,0.00033163017,0.00010599134,0.000003775231],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007049558,0.0009651216,0.27940628,0.000009818495,0.00011837148,0.000052181156,0.001717771,0.041354522,0.11452664,0.003616294,0.00087692693,0.5566511],"study_design_scores_gemma":[0.001472278,0.0019543278,0.33731458,0.0000323889,0.000067700916,0.00025613792,0.0055840593,0.6160683,0.005509204,0.02801752,0.0032289037,0.00049459503],"about_ca_topic_score_codex":0.000009062627,"about_ca_topic_score_gemma":0.000018685529,"teacher_disagreement_score":0.57471377,"about_ca_system_score_codex":0.00042266393,"about_ca_system_score_gemma":0.000020150399,"threshold_uncertainty_score":0.98932517},"labels":[],"label_agreement":null},{"id":"W2808439265","doi":"10.3390/su10062020","title":"Assessing the Climate Change Impacts of Biogenic Carbon in Buildings: A Critical Review of Two Main Dynamic Approaches","year":2018,"lang":"en","type":"review","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":123,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Université Laval","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada; University of Bath","keywords":"Climate change; Life-cycle assessment; Greenhouse gas; Carbon fibers; Environmental science; Carbon cycle; Climate change mitigation; Global warming; Carbon sequestration; Environmental resource management; Natural resource economics; Computer science; Production (economics); Ecology; Carbon dioxide; Ecosystem; Economics","score_opus":0.06809700380316511,"score_gpt":0.39606439856548437,"score_spread":0.3279673947623193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2808439265","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024861716,0.970051,0.000010362636,0.00031158025,0.00007244647,0.0040459232,0.000065735505,0.00002060236,0.00056063035],"genre_scores_gemma":[0.11326808,0.8859989,0.00023354356,0.000054816446,0.000033722557,0.0003268568,0.000023651619,0.000052221923,0.000008190353],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.993743,0.0018463652,0.0017262666,0.00093536347,0.0006553439,0.0010936697],"domain_scores_gemma":[0.9966647,0.00069682713,0.00076088175,0.0016237634,0.000059415826,0.00019440657],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.006996164,0.0006589868,0.0022219266,0.00013148913,0.00011722395,0.00003886098,0.0009241322,0.00031479067,0.00021543192],"category_scores_gemma":[0.003867995,0.00044398065,0.00078847306,0.001246815,0.0030950774,0.0004529476,0.001285539,0.00062213547,0.0000051203174],"study_design_candidate":"systematic_review","study_design_consensus":"systematic_review","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000018163859,0.0008997304,0.037025798,0.50515234,0.00004900427,0.000027972234,0.0008168676,0.0000015528361,0.0000020856169,0.00030455965,0.000016446827,0.45568547],"study_design_scores_gemma":[0.0033259308,0.0030208663,0.30508348,0.44282952,0.009878524,0.0005235507,0.017125474,0.0012857467,0.00011050255,0.07249811,0.13489781,0.009420465],"about_ca_topic_score_codex":0.0016030194,"about_ca_topic_score_gemma":0.00020208594,"teacher_disagreement_score":0.446265,"about_ca_system_score_codex":0.005935411,"about_ca_system_score_gemma":0.00034492914,"threshold_uncertainty_score":0.9998012},"labels":[],"label_agreement":null},{"id":"W2810648933","doi":"10.1504/ijgw.2018.10014250","title":"A comparative life cycle assessment based evaluation of greenhouse gas emission and social study: natural fibre versus glass fibre reinforced plastic automotive parts","year":2018,"lang":"en","type":"article","venue":"International Journal of Global Warming","topic":"Environmental Impact and Sustainability","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 Toronto","funders":"","keywords":"Greenhouse gas; Automotive industry; Life-cycle assessment; Glass fiber; Environmental science; Materials science; Natural gas; Composite material; Waste management; Engineering; Ecology; Aerospace engineering; Biology","score_opus":0.024751550300489998,"score_gpt":0.36545517074036393,"score_spread":0.34070362043987396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2810648933","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980023,0.000011577271,0.00026387197,0.0003047549,0.0005808053,0.00021569504,0.000017718176,0.000007168653,0.00059611455],"genre_scores_gemma":[0.99940085,0.0000010537508,0.00038922267,0.000047213234,0.0001396044,0.0000024719236,0.000004318925,0.0000050709273,0.000010165854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757206,0.00021429024,0.0004388346,0.00016968953,0.0014395724,0.00016557756],"domain_scores_gemma":[0.9989407,0.00013879042,0.00048314483,0.00007412745,0.0002491195,0.00011409965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073423836,0.00014475468,0.00022919767,0.000036344773,0.00014277671,0.00004409942,0.00023866391,0.000047117595,0.00028911143],"category_scores_gemma":[0.00038613784,0.00012322575,0.00008422648,0.00010279036,0.00028412518,0.0004668983,0.00018739393,0.00014512887,0.000004825784],"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":[0.013294368,0.0029941404,0.763151,0.00006322092,0.0017556791,0.00021305318,0.025000138,0.12221989,0.016651012,0.00013780103,0.002290549,0.05222916],"study_design_scores_gemma":[0.005718422,0.001544575,0.85098326,0.000057728917,0.00015068504,0.000022907845,0.005368491,0.13414305,0.0015730739,0.00021524662,0.000051578027,0.00017097985],"about_ca_topic_score_codex":0.00012802497,"about_ca_topic_score_gemma":0.00007256497,"teacher_disagreement_score":0.08783227,"about_ca_system_score_codex":0.0015751884,"about_ca_system_score_gemma":0.00014113385,"threshold_uncertainty_score":0.5025},"labels":[],"label_agreement":null},{"id":"W283874054","doi":"","title":"International consensus model for comparative assessment of chemical emissions in LCA","year":2008,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"","keywords":"Environmental science; Engineering","score_opus":0.024810749277874133,"score_gpt":0.2952360549414381,"score_spread":0.270425305663564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W283874054","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9061856,0.000018694042,0.08839276,0.0011251136,0.000023798048,0.00065845373,0.00006362116,0.000048024256,0.0034839401],"genre_scores_gemma":[0.8823959,0.000019227844,0.1166042,0.00022220747,0.000011214376,0.00022233551,0.000020467593,0.0000135642695,0.0004908788],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985859,0.00004863552,0.00040045704,0.00029855687,0.0002997765,0.00036668146],"domain_scores_gemma":[0.9992528,0.00010789177,0.00013280638,0.00031388632,0.000015792746,0.00017681853],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031602013,0.00017761897,0.0002741737,0.000084460306,0.00008238564,0.000010282741,0.00030928027,0.00012863067,0.000176524],"category_scores_gemma":[0.00009574569,0.00017323044,0.000115176095,0.00016550581,0.00036214653,0.000133002,0.00023640158,0.00020599666,0.0000028859868],"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":[0.00014617902,0.0009997182,0.79785573,0.00001425172,0.000021762313,0.000016617065,0.0013711416,0.08210068,0.11174027,0.0015183345,0.0033177554,0.0008975675],"study_design_scores_gemma":[0.00055751856,0.000053883865,0.21901475,0.0000088709185,0.0000061747555,0.000023021623,0.0001668128,0.76457727,0.013816789,0.0013290236,0.00027924593,0.00016665205],"about_ca_topic_score_codex":0.0017339484,"about_ca_topic_score_gemma":0.00027986403,"teacher_disagreement_score":0.6824766,"about_ca_system_score_codex":0.0012083269,"about_ca_system_score_gemma":0.00008255367,"threshold_uncertainty_score":0.70641327},"labels":[],"label_agreement":null},{"id":"W2884362267","doi":"10.1016/j.eneco.2018.07.015","title":"Green growth planning: A multi-factor energy input-output analysis of the Canadian economy","year":2018,"lang":"en","type":"article","venue":"Energy Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":95,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Energy Research Institute; University of Victoria","funders":"","keywords":"Green growth; Economics; Work (physics); Renewable energy; Earnings; Green economy; Greenhouse gas; Natural resource economics; Environmental economics; Engineering; Sustainable development","score_opus":0.014071420845107822,"score_gpt":0.21206728626443472,"score_spread":0.1979958654193269,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884362267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680177,0.0000122294405,0.0002463302,0.00027735683,0.00011619671,0.000047583668,0.00004635984,0.000010806429,0.031225422],"genre_scores_gemma":[0.99576193,0.0000061865658,0.00015688266,0.0009202274,0.00005684962,0.0000084886715,0.0000157649,0.000016467842,0.0030572268],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988721,0.00005589496,0.00030196834,0.0003369679,0.000058257156,0.00037479412],"domain_scores_gemma":[0.99902296,0.000029890069,0.00015826552,0.00051362737,0.000008349431,0.00026689933],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000120472854,0.00017825562,0.00025936015,0.0001255629,0.00024217674,0.0000329403,0.00047986791,0.00011851476,0.001352168],"category_scores_gemma":[0.000018825749,0.0001512384,0.00019766296,0.0002899172,0.0005784905,0.0002166699,0.00024102528,0.000068543326,0.000015558977],"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":[0.000008494372,0.000043553908,0.99371886,0.0000014900502,0.00020000953,0.0000010667551,0.000565432,0.0025939457,0.00002974963,0.0010865112,0.0002702281,0.0014806413],"study_design_scores_gemma":[0.00028673754,0.000059712977,0.8463141,0.0000020542282,0.00013194545,0.0000015767243,0.00016851943,0.047553085,0.0035150552,0.0013030132,0.10033845,0.00032579564],"about_ca_topic_score_codex":0.50903004,"about_ca_topic_score_gemma":0.79681146,"teacher_disagreement_score":0.28778145,"about_ca_system_score_codex":0.0012320335,"about_ca_system_score_gemma":0.00006669841,"threshold_uncertainty_score":0.9995607},"labels":[],"label_agreement":null},{"id":"W2884463018","doi":"10.1016/j.landusepol.2018.07.019","title":"Land embodied in Spain’s biomass trade and consumption (1900–2008): Historical changes, drivers and impacts","year":2018,"lang":"en","type":"article","venue":"Land Use Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Ministerio de Economía y Competitividad","keywords":"Consumption (sociology); Natural resource economics; Biomass (ecology); Population; Agricultural economics; Population growth; Resource (disambiguation); Land use; Yield (engineering); Economics; Production (economics); Business; Ecology","score_opus":0.02346144860682864,"score_gpt":0.2648256667003512,"score_spread":0.24136421809352254,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2884463018","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99747807,0.00008066086,0.000009266453,0.0018379636,0.000035948346,0.00017696136,0.000013508772,0.00002097557,0.00034664033],"genre_scores_gemma":[0.99880415,0.000285106,0.00013580736,0.0003737773,0.00007413062,0.0000048621364,0.000005379851,0.000009887166,0.0003069224],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910647,0.00006354627,0.00011472687,0.00025467967,0.0001198309,0.00034072195],"domain_scores_gemma":[0.999545,0.000036209556,0.000038644608,0.00014714072,0.000001194404,0.00023181298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015435039,0.00013959662,0.00015303615,0.00007320811,0.000096678465,0.00003775839,0.000058233607,0.00009177975,0.000129916],"category_scores_gemma":[0.0000646336,0.00011675965,0.00001621989,0.00011713929,0.00033141722,0.0002236134,0.00010855815,0.00008293303,0.00002402881],"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":[0.000033879176,0.000060224174,0.9955177,0.000013819129,0.0000038433777,0.000010309777,0.001238176,6.196209e-7,0.0011662268,0.000028827744,0.00027575958,0.0016506141],"study_design_scores_gemma":[0.0008004148,0.00013415513,0.99045247,0.000006979024,0.0000076160945,0.000017435596,0.00003061283,0.00012637684,0.00015986827,0.000192439,0.007923735,0.0001479015],"about_ca_topic_score_codex":0.019030925,"about_ca_topic_score_gemma":0.013891479,"teacher_disagreement_score":0.0076479753,"about_ca_system_score_codex":0.000806618,"about_ca_system_score_gemma":0.000008911067,"threshold_uncertainty_score":0.98750144},"labels":[],"label_agreement":null},{"id":"W2885134642","doi":"10.1111/jiec.12807","title":"LiSET: A Framework for Early‐Stage Life Cycle Screening of Emerging Technologies","year":2018,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"H2020 LEIT Advanced Materials; Norges Forskningsråd; European Commission; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Life-cycle assessment; Computer science; Emerging technologies; Industrial ecology; Risk analysis (engineering); Consistency (knowledge bases); Environmental impact assessment; Flexibility (engineering); Process management; Systems engineering; Sustainability; Engineering; Production (economics); Business; Artificial intelligence","score_opus":0.032022205257319136,"score_gpt":0.29793118409053343,"score_spread":0.2659089788332143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885134642","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99272364,0.000020607573,0.004962267,0.0013121506,0.00038138102,0.00024114884,0.000008260006,0.000014936086,0.0003356214],"genre_scores_gemma":[0.9890494,0.000011433541,0.010468504,0.00010144452,0.0002843807,0.0000048066454,4.0466057e-7,0.000011621344,0.00006805068],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99867606,0.000073048286,0.00057130004,0.00014366688,0.00020213754,0.00033377216],"domain_scores_gemma":[0.99878067,0.00028022524,0.00062547345,0.00018294777,0.000027507192,0.00010316188],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00083669106,0.00011994889,0.00034126567,0.00009146833,0.00012854717,0.000013305034,0.0003526377,0.0003778736,0.0011309192],"category_scores_gemma":[0.002789484,0.00010138611,0.00014263723,0.00020775935,0.0006934307,0.00024770395,0.00022015718,0.00042169116,0.000010688347],"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":[0.0009127028,0.00026451043,0.9462041,0.000010182632,0.00009550608,0.000015215849,0.0009741424,0.001319568,0.0018409967,0.0003706593,0.0018393846,0.046153016],"study_design_scores_gemma":[0.008690809,0.015762446,0.8307851,0.00018912804,0.00026027483,0.00007928974,0.02163817,0.0014568651,0.042339005,0.045944057,0.031928886,0.0009260012],"about_ca_topic_score_codex":0.00006914721,"about_ca_topic_score_gemma":0.00002959656,"teacher_disagreement_score":0.115419045,"about_ca_system_score_codex":0.00018871187,"about_ca_system_score_gemma":0.000045830995,"threshold_uncertainty_score":0.9997822},"labels":[],"label_agreement":null},{"id":"W2885135538","doi":"10.3390/su10082822","title":"Blue and Green Water Footprint Assessment for China—A Multi-Region Input–Output Approach","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"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":"Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Hohai University","keywords":"Virtual water; China; Water use; Sustainability; Footprint; Agricultural economics; Business; Natural resource economics; Production (economics); Agriculture; Environmental science; Environmental resource management; Geography; Water scarcity; Economics","score_opus":0.014078560500966286,"score_gpt":0.2771991685194088,"score_spread":0.2631206080184425,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2885135538","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9428099,0.000009222739,0.052557394,0.0013893838,0.000066895984,0.0021311995,0.00000584937,0.00007517398,0.00095501286],"genre_scores_gemma":[0.9915403,0.0000024786661,0.00572249,0.00013292159,0.00008077696,0.00024692476,0.00001681835,0.000029650635,0.0022276088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974331,0.00018716487,0.00036060752,0.00088104914,0.0002922092,0.00084581954],"domain_scores_gemma":[0.99879044,0.000042495758,0.00006985033,0.00074443454,0.000064300264,0.0002884826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011011228,0.00032782895,0.00030310833,0.000041777443,0.00050195964,0.00006734557,0.00029503964,0.00016393575,0.00013493768],"category_scores_gemma":[0.00018411,0.0002415373,0.00013131609,0.00012125474,0.0015585345,0.00028459908,0.0008325803,0.00020874268,0.000013203806],"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":[0.00020318221,0.0011806729,0.9378984,0.00037824828,0.000030134574,0.0000072248986,0.0070087234,0.00033064798,0.0006693188,0.00046841943,0.00013276552,0.051692273],"study_design_scores_gemma":[0.0010374769,0.0005287602,0.96747416,0.0000027177507,0.000029503975,0.000012181624,0.0021899475,0.0067751054,0.0021052132,0.014767909,0.004673195,0.00040382572],"about_ca_topic_score_codex":0.0018740508,"about_ca_topic_score_gemma":0.00013048253,"teacher_disagreement_score":0.05128845,"about_ca_system_score_codex":0.0024612884,"about_ca_system_score_gemma":0.000049329126,"threshold_uncertainty_score":0.9849605},"labels":[],"label_agreement":null},{"id":"W2886115924","doi":"10.1029/2018gl079564","title":"Spatiotemporal Changes of China's Carbon Emissions","year":2018,"lang":"en","type":"article","venue":"Geophysical Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":29,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University; McMaster University; University of Regina; University of Prince Edward Island","funders":"Foundation for Innovative Research Team of Jimei University; University of Prince Edward Island; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"China; Greenhouse gas; Urbanization; Carbon fibers; Environmental science; Climate change; Relaxation (psychology); Horizontal resolution; Climatology; Geography; Meteorology; Geology; Materials science; Economic growth","score_opus":0.025755824217217883,"score_gpt":0.32461968278893527,"score_spread":0.2988638585717174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886115924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830186,0.0000040015584,0.000016637294,0.0062607015,0.00003840221,0.00021184301,0.0000038011747,0.000015998854,0.010430047],"genre_scores_gemma":[0.9987121,0.0000033462009,0.00015967879,0.00021327249,0.00016080237,0.000014630237,0.00000341227,0.000011314257,0.0007213965],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99804616,0.00019057607,0.00012156845,0.0002883549,0.00081273995,0.00054061966],"domain_scores_gemma":[0.99927425,0.00007986694,0.00003335332,0.00038735542,0.00001123857,0.00021395672],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004653467,0.00010336695,0.00013648871,0.000045149794,0.00016303603,0.0000145219365,0.00029287976,0.00004554417,0.001014913],"category_scores_gemma":[0.00019391344,0.00008496732,0.000049934217,0.0003724336,0.001890431,0.00009167465,0.0004549347,0.00022766084,0.00016416996],"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":[0.00009003208,0.00034388917,0.1071813,0.000023917977,0.000011716639,0.000014106089,0.002024408,0.000011324437,0.8746831,0.00011367599,0.006289502,0.009213036],"study_design_scores_gemma":[0.00021443647,0.00051355205,0.9022925,0.000012873126,0.0000041556073,7.941754e-7,0.00016221733,0.0005485132,0.08642363,0.0013896932,0.008285004,0.00015266344],"about_ca_topic_score_codex":0.00392347,"about_ca_topic_score_gemma":0.00015252172,"teacher_disagreement_score":0.7951112,"about_ca_system_score_codex":0.00022903434,"about_ca_system_score_gemma":0.000011708254,"threshold_uncertainty_score":0.9998983},"labels":[],"label_agreement":null},{"id":"W2886869489","doi":"10.5539/jsd.v11n4p129","title":"Main Drivers of Carbon Dioxide Emissions in Vietnam Trajectory 2000-2011: An Input-Output Structural Decomposition Analysis","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan International Cooperation Agency","keywords":"Consumption (sociology); Production (economics); Offset (computer science); Natural resource economics; Input–output model; Context (archaeology); Economics; Carbon offset; Greenhouse gas; Climate change; Population; Investment (military); Energy consumption; Environmental science; Geography; Macroeconomics; Engineering","score_opus":0.0067530065192981,"score_gpt":0.24543982162560005,"score_spread":0.23868681510630194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2886869489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847585,0.000038946273,0.00021906366,0.00007983305,0.000058009602,0.00022207934,0.000001570404,0.0000065935224,0.0008980761],"genre_scores_gemma":[0.9951928,0.000010918152,0.0038869337,0.000045355177,0.000031225416,0.000003885003,0.000005451646,0.000012902605,0.00081050233],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760556,0.00017784235,0.0008372293,0.00025107665,0.0006022222,0.0005260602],"domain_scores_gemma":[0.99891967,0.00003121106,0.0004397572,0.00024132119,0.00006486899,0.00030319308],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010749951,0.00021347243,0.00043259937,0.0004465003,0.00016569917,0.000022132084,0.0003360018,0.000106744585,0.00095627474],"category_scores_gemma":[0.00005554853,0.00018422127,0.00014222013,0.0007271906,0.00030777903,0.0006040801,0.0001810175,0.00023610123,0.0000046669475],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002527186,0.00032653526,0.9626952,0.000041292296,0.00017644707,0.00027062133,0.01548052,0.007006927,0.010639552,0.0000146201655,0.000081909784,0.0030136618],"study_design_scores_gemma":[0.0006010755,0.00030617698,0.9700274,0.000016164144,0.00009696306,0.000022893044,0.018457547,0.0005925953,0.00891376,0.00027650286,0.0004694018,0.00021950899],"about_ca_topic_score_codex":0.00045232856,"about_ca_topic_score_gemma":0.00030095511,"teacher_disagreement_score":0.0073322174,"about_ca_system_score_codex":0.0039165835,"about_ca_system_score_gemma":0.00028623035,"threshold_uncertainty_score":0.99995697},"labels":[],"label_agreement":null},{"id":"W2887259614","doi":"10.3390/su10082715","title":"Evaluating the Link between Low Carbon Reductions Strategies and Its Performance in the Context of Climate Change: A Carbon Footprint of a Wood-Frame Residential Building in Quebec, Canada","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon footprint; Greenhouse gas; Context (archaeology); Baseline (sea); Climate change; Reuse; Climate change mitigation; Environmental science; Sustainability; Environmental economics; Natural resource economics; Environmental resource management; Business; Environmental engineering; Engineering; Waste management; Geography","score_opus":0.021988482536562506,"score_gpt":0.3077847716771886,"score_spread":0.2857962891406261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2887259614","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99613506,0.0000844099,4.904853e-7,0.0022347665,0.000042606567,0.0011811802,0.000004386915,0.0000054262646,0.00031164943],"genre_scores_gemma":[0.9997627,0.000022402332,0.000014298215,0.000016446995,0.000078330624,0.00008316634,0.0000010133866,0.000008134169,0.000013500899],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997792,0.00049780717,0.0004953356,0.0003306793,0.0004305085,0.0004536785],"domain_scores_gemma":[0.99903727,0.00020791622,0.00018323082,0.0004633232,0.00005822626,0.00005001804],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002280862,0.00016536015,0.00025935803,0.000044207394,0.0001379382,0.000029999044,0.0003131012,0.00007785614,0.000012804381],"category_scores_gemma":[0.0005491207,0.000116755284,0.00003622934,0.00041511867,0.00089148624,0.00019475128,0.00034223718,0.0002993115,7.316974e-8],"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":[0.000107171414,0.000053065978,0.95901465,0.00032124016,0.00000654929,0.0000025203337,0.018905595,0.00051097496,0.00081511977,0.00022319674,2.8787105e-7,0.020039627],"study_design_scores_gemma":[0.0002682259,0.00022151337,0.9400981,0.00003631431,0.00001656219,0.0000011415063,0.053730194,0.0020495246,0.0021687658,0.0012838553,0.000012217606,0.000113553615],"about_ca_topic_score_codex":0.8647718,"about_ca_topic_score_gemma":0.85888714,"teacher_disagreement_score":0.0348246,"about_ca_system_score_codex":0.0018314148,"about_ca_system_score_gemma":0.0003577502,"threshold_uncertainty_score":0.4789086},"labels":[],"label_agreement":null},{"id":"W2888926595","doi":"10.1002/bbb.1335","title":"Systematic assessment of triticale‐based biorefinery strategies: environmental evaluation using life cycle assessment","year":2018,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Biorefinery; Life-cycle assessment; Environmental impact assessment; Multiple-criteria decision analysis; Triticale; Context (archaeology); Environmental science; Greenhouse gas; Environmental economics; Engineering; Agricultural engineering; Biofuel; Waste management; Production (economics); Operations research; Economics","score_opus":0.025607317420685824,"score_gpt":0.32254204489087096,"score_spread":0.2969347274701851,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2888926595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963661,0.00033556577,0.0007667904,0.00013702911,0.00017492207,0.00082232134,0.000037069436,0.000032613378,0.0013276199],"genre_scores_gemma":[0.9840588,0.000026581934,0.015572748,0.00013968562,0.00009771822,0.00003142309,0.000027496626,0.00002508818,0.000020488578],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99701697,0.00026962714,0.00071260816,0.0006929941,0.00084487285,0.0004629375],"domain_scores_gemma":[0.9988212,0.00005486464,0.00032305135,0.0005427193,0.0000210368,0.00023712113],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018250986,0.00032562413,0.00046711598,0.00009660599,0.00029547984,0.00009494697,0.00020027024,0.00013655204,0.0011324858],"category_scores_gemma":[0.000121273515,0.00025906743,0.000089919755,0.00028606685,0.0012298122,0.00041377614,0.00023809334,0.00014425216,0.000014767544],"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":[0.000063635685,0.0013253583,0.28190285,0.0028466012,0.000102962884,0.0000079972815,0.000511094,0.00088344543,0.70461935,0.00050036534,0.000025242067,0.007211073],"study_design_scores_gemma":[0.002185082,0.0015201906,0.77411777,0.0012541703,0.0005187744,0.000018930337,0.0046893884,0.19385584,0.019531516,0.0011702256,0.00007644788,0.0010616556],"about_ca_topic_score_codex":0.00018226427,"about_ca_topic_score_gemma":0.000010617582,"teacher_disagreement_score":0.68508786,"about_ca_system_score_codex":0.00053090655,"about_ca_system_score_gemma":0.00013581589,"threshold_uncertainty_score":0.9999862},"labels":[],"label_agreement":null},{"id":"W2889196044","doi":"10.4028/www.scientific.net/kem.777.543","title":"Cross Laminated Timber in the International Context and in Brazil: Most Relevant Aspects","year":2018,"lang":"en","type":"article","venue":"Key engineering materials","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Cross laminated timber; Context (archaeology); Work (physics); Engineering; Environmentally friendly; Architectural engineering; Engineered wood; Sustainability; Production (economics); Civil engineering; Excellence; Geography; Ecology; Political science; Mechanical engineering; Economics; Archaeology","score_opus":0.004727216281357732,"score_gpt":0.23352776030915717,"score_spread":0.22880054402779945,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889196044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99753207,0.000008523528,0.000021922451,0.00024546843,0.0001829232,0.00016174007,0.000008040825,0.000016706386,0.0018226247],"genre_scores_gemma":[0.99942803,0.000006998529,0.00013466342,0.00017180713,0.00003851158,0.000014690252,0.0000056077056,0.000009627325,0.00019008007],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99929696,0.00003044935,0.00017535212,0.00016533748,0.00013563405,0.00019626308],"domain_scores_gemma":[0.99976987,0.000039393453,0.000023549204,0.00013595817,0.0000025393208,0.000028717466],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004842466,0.000097750715,0.00009924547,0.000027447037,0.000025987378,0.00008442868,0.00017102338,0.00004511992,0.0016255433],"category_scores_gemma":[0.00012181196,0.00007518749,0.000008564784,0.00009004811,0.00013211169,0.00017646718,0.00013706106,0.00005840413,0.0000869162],"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":[0.00011952694,0.00016745071,0.30989203,0.00003819615,0.000010618956,0.000095926756,0.004877833,0.00362339,0.67919105,0.00047680605,0.000498804,0.001008339],"study_design_scores_gemma":[0.00033118812,0.000031137813,0.95889634,0.000015062891,0.000001299501,0.000012459585,0.00010936023,0.00096177525,0.0367699,0.00014096394,0.0026229336,0.00010755895],"about_ca_topic_score_codex":0.00049019407,"about_ca_topic_score_gemma":0.00019693645,"teacher_disagreement_score":0.64900434,"about_ca_system_score_codex":0.00017747891,"about_ca_system_score_gemma":0.000002752582,"threshold_uncertainty_score":0.9992871},"labels":[],"label_agreement":null},{"id":"W2889895710","doi":"10.1016/j.envint.2018.09.011","title":"Evolution of China's water footprint and virtual water trade: A global trade assessment","year":2018,"lang":"en","type":"article","venue":"Environment International","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":112,"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":"Economic and Social Research Council; Shanghai Municipal People's Government; Shanghai Jiao Tong University; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Virtual water; China; Water use; Sustainability; Business; Water resources; Scenario analysis; Natural resource economics; Agriculture; Sustainable development; Balance of trade; International trade; Environmental resource management; Environmental science; Water scarcity; Economics; Geography; Ecology","score_opus":0.004573664947670426,"score_gpt":0.2374043737356691,"score_spread":0.2328307087879987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889895710","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9890445,0.00000801709,0.0025210248,0.0020405394,0.00020626312,0.0002343371,0.000034450866,0.000018929739,0.005891962],"genre_scores_gemma":[0.9985347,0.00001526852,0.0008744326,0.00008809259,0.00009454353,0.000019151566,0.000040331954,0.0000120893055,0.00032142186],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99824136,0.00006866219,0.0003267732,0.00040861155,0.0006039542,0.0003506132],"domain_scores_gemma":[0.9995595,0.000008952243,0.00005489855,0.00024478923,0.0000011379454,0.00013069363],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00030852886,0.00020372409,0.00015761492,0.00002655615,0.00011720603,0.000025669282,0.00025589726,0.00008345503,0.0064713075],"category_scores_gemma":[0.000005793704,0.00014118876,0.00007982671,0.000026627804,0.00079079304,0.00022494927,0.0004972715,0.00011470882,0.00015201439],"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":[0.00013287856,0.00092466216,0.7491511,0.000009667457,0.00008871684,0.000009381151,0.0018661466,0.0013546428,0.23095027,0.0018468404,0.0002913932,0.013374307],"study_design_scores_gemma":[0.00056444894,0.00036830266,0.94629055,0.0000044271915,0.00001801511,0.000018370734,0.00022677013,0.0011768879,0.03881308,0.0019791115,0.010344199,0.00019580367],"about_ca_topic_score_codex":0.00015123424,"about_ca_topic_score_gemma":0.000014189559,"teacher_disagreement_score":0.19713947,"about_ca_system_score_codex":0.0015089002,"about_ca_system_score_gemma":0.000004847379,"threshold_uncertainty_score":0.9944369},"labels":[],"label_agreement":null},{"id":"W2890762205","doi":"10.1007/s11367-018-1519-8","title":"Are there infinitely many trucks in the technosphere, or exactly one? How independent sampling of instances of unit processes affects uncertainty analysis in LCA","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Product (mathematics); Tree (set theory); Process (computing); Sampling (signal processing); Truck; Monte Carlo method; Sensitivity (control systems); Computer science; Sample (material); Mathematics; Mathematical optimization; Statistics; Engineering","score_opus":0.03799452208735225,"score_gpt":0.32869576920243243,"score_spread":0.29070124711508016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890762205","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961434,0.00006605213,0.00082056073,0.0016717742,0.000057510748,0.00021972311,0.000012818793,0.0000030373742,0.001005138],"genre_scores_gemma":[0.999044,0.00009648912,0.00056387973,0.0002092247,0.0000460671,0.000008343365,0.0000016022644,0.0000074075765,0.000022998833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764067,0.00020437343,0.00057037105,0.00015206943,0.0012463478,0.00018613969],"domain_scores_gemma":[0.99801135,0.00046077743,0.0011431683,0.00024285333,0.00009115666,0.000050698425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015986017,0.00014607485,0.00034176867,0.00015867843,0.00005181166,0.000056087978,0.0011824975,0.000059192935,0.0004342498],"category_scores_gemma":[0.00039573936,0.00008127683,0.000112324844,0.00083266926,0.0003879423,0.00035885195,0.00021736487,0.0003071823,0.0000011006363],"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":[0.0003302632,0.0005822256,0.9724643,0.000029448938,0.00024629082,0.000022345437,0.0012491313,0.022229552,0.00062800996,0.000119744676,0.000016228007,0.0020824492],"study_design_scores_gemma":[0.0006379592,0.0002522594,0.9798204,0.00011925203,0.000066643435,0.0000078448265,0.0152223455,0.00083586795,0.0008589246,0.0019932205,0.0000933877,0.00009193148],"about_ca_topic_score_codex":0.0006442197,"about_ca_topic_score_gemma":0.008798782,"teacher_disagreement_score":0.021393685,"about_ca_system_score_codex":0.00043337082,"about_ca_system_score_gemma":0.00013539658,"threshold_uncertainty_score":0.4909927},"labels":[],"label_agreement":null},{"id":"W2891798643","doi":"10.3390/su10093135","title":"Evolution of the Scientific Literature on Input–Output Analysis: A Bibliometric Analysis of 1990–2017","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"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 Regina","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"Mainstream; Social Sciences Citation Index; Citation analysis; Bibliographic coupling; Field (mathematics); Beijing; Social network analysis; Citation index; Science Citation Index; Frontier; Regional science; China; Bibliometrics; Data science; Chinese academy of sciences; Network analysis; Institution; Index (typography); Citation; Computer science; Social science; Political science; Sociology; Library science; Engineering","score_opus":0.008454790924146686,"score_gpt":0.26729232664943026,"score_spread":0.25883753572528356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891798643","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972482,0.000105521074,0.00038058005,0.00018099861,0.000111921,0.0005497133,0.000073446594,0.000019539735,0.001330111],"genre_scores_gemma":[0.99883616,0.0000029607345,0.00006852076,0.000029110399,0.000018614766,0.000014036374,0.000017149374,0.000007703254,0.0010057547],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99664116,0.00043701442,0.0006047497,0.0007385149,0.0010883638,0.0004901963],"domain_scores_gemma":[0.9969248,0.00014233725,0.00040071356,0.0020649207,0.00032148397,0.00014569833],"candidate_categories":["bibliometrics","sts"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0023919137,0.00023642233,0.0005345835,0.015076576,0.00039280832,0.000075102835,0.0007676657,0.00015656486,0.0005832349],"category_scores_gemma":[0.0020114807,0.00016227673,0.00079786865,0.2611299,0.003314703,0.00035652425,0.00057701836,0.0002169603,0.000011664315],"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":[0.00008274099,0.00054459047,0.9906765,0.000060570095,0.0004071296,0.0000011288702,0.0014873001,0.0043898183,0.0003265538,0.00025280297,0.00019839195,0.0015724703],"study_design_scores_gemma":[0.00015274019,0.00019380389,0.98957664,0.000006395453,0.0013730893,3.2664144e-7,0.0007292571,0.0027365782,0.0012600155,0.0034256466,0.00039401074,0.00015151838],"about_ca_topic_score_codex":0.0014509081,"about_ca_topic_score_gemma":0.0005663284,"teacher_disagreement_score":0.24605331,"about_ca_system_score_codex":0.002798298,"about_ca_system_score_gemma":0.00012344892,"threshold_uncertainty_score":0.9993977},"labels":[],"label_agreement":null},{"id":"W2891930811","doi":"10.1002/etc.4261","title":"Toward harmonizing ecotoxicity characterization in life cycle impact assessment","year":2018,"lang":"en","type":"article","venue":"Environmental Toxicology and Chemistry","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Centre Jeunesse de Quebec; Université du Québec à Montréal","funders":"","keywords":"Ecotoxicity; Environmental science; Life-cycle assessment; Characterization (materials science); Environmental chemistry; Chemistry; Toxicity; Materials science; Nanotechnology","score_opus":0.012574200834209742,"score_gpt":0.2558926782971983,"score_spread":0.24331847746298857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891930811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99483246,0.000024458295,0.00009547158,0.00019411456,0.000046352787,0.0002178594,0.00003288832,0.000026395943,0.0045300056],"genre_scores_gemma":[0.9988036,0.00007374135,0.00019246289,0.00041196393,0.00007803945,0.000031654632,0.0000755359,0.000018606099,0.0003143601],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99851805,0.000068503905,0.0002801085,0.00049258454,0.00018447229,0.00045629704],"domain_scores_gemma":[0.9993752,0.000026477035,0.00009553758,0.00023742081,8.03133e-7,0.00026451124],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024021864,0.0002465517,0.00022389244,0.000017851256,0.0001743956,0.00002556189,0.00016530864,0.00021748747,0.015179253],"category_scores_gemma":[0.000023025337,0.00024146469,0.000059951668,0.0000844661,0.00088594505,0.00030031241,0.00037121164,0.00027182937,0.0001299135],"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":[0.000031974367,0.00025525253,0.52139616,0.000008003387,0.000008275287,0.000010156,0.00030892086,0.000027355309,0.47595748,0.0000010564899,0.000024012874,0.0019713752],"study_design_scores_gemma":[0.00053748064,0.00014468972,0.93414134,0.000004612671,0.0000092489545,0.000023280458,0.00033239805,0.0011798103,0.062812015,0.00015618249,0.00041045755,0.00024845704],"about_ca_topic_score_codex":0.000033105858,"about_ca_topic_score_gemma":0.00000914006,"teacher_disagreement_score":0.41314545,"about_ca_system_score_codex":0.0010087258,"about_ca_system_score_gemma":0.000016606591,"threshold_uncertainty_score":0.985721},"labels":[],"label_agreement":null},{"id":"W2891971511","doi":"10.1016/j.buildenv.2018.09.013","title":"Transitioning to low-carbon suburbs in hot-arid regions: A case-study of Emirati villas in Abu Dhabi","year":2018,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":29,"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":"Masdar Institute of Science and Technology; University of Toronto; Massachusetts Institute of Technology","keywords":"Abu dhabi; Renewable energy; Baseline (sea); Environmental science; Greenhouse gas; Tree planting; Environmental engineering; Geography; Engineering; Metropolitan area; Agroforestry","score_opus":0.01071487368343501,"score_gpt":0.24325047737580324,"score_spread":0.23253560369236823,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2891971511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99840426,0.00003847109,0.00014745175,0.00010742631,0.000029126526,0.000657247,0.0000017846529,0.000011947368,0.0006023057],"genre_scores_gemma":[0.99909955,0.000036433143,0.00061942876,0.000088639725,0.000019805815,0.00005965284,8.871959e-7,0.000017768476,0.000057853147],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829704,0.00012135892,0.00040939334,0.0005157302,0.00027198077,0.00038451664],"domain_scores_gemma":[0.9994003,0.000045199446,0.00006381278,0.00033814902,0.0000012790747,0.00015121268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005154869,0.00020699903,0.00026133424,0.00010583001,0.00010667445,0.000016717213,0.00011731642,0.00007791496,0.00017470401],"category_scores_gemma":[0.000024316392,0.00020655728,0.00003276993,0.00023261337,0.00028087944,0.00012851585,0.00019536554,0.00014664655,0.000012201062],"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":[0.00015683359,0.0013136299,0.9376714,0.00002634411,0.000010570662,0.00045142218,0.023713123,0.010951468,0.020512449,0.000017394403,0.000019624664,0.005155713],"study_design_scores_gemma":[0.0015763156,0.0013002029,0.97320646,0.00006859586,0.000020344722,0.00012998124,0.016743213,0.002465525,0.0034986695,0.00023593265,0.00032930134,0.00042543525],"about_ca_topic_score_codex":0.006631576,"about_ca_topic_score_gemma":0.0023924268,"teacher_disagreement_score":0.035535052,"about_ca_system_score_codex":0.0005311978,"about_ca_system_score_gemma":0.0000044505027,"threshold_uncertainty_score":0.9999834},"labels":[],"label_agreement":null},{"id":"W2895768147","doi":"10.1016/j.apenergy.2018.09.192","title":"Environmentally-extended input-output simulation for analyzing production-based and consumption-based industrial greenhouse gas mitigation policies","year":2018,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":93,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada; Ministry of Environment - Saskatchewan","keywords":"Greenhouse gas; Production (economics); Consumption (sociology); Environmental economics; Natural resource economics; Scenario analysis; Industrial ecology; Reduction (mathematics); Environmentally friendly; Environmental science; Business; Economics; Microeconomics","score_opus":0.0205450218959492,"score_gpt":0.25326320063003505,"score_spread":0.23271817873408585,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2895768147","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809943,0.000009932669,0.017525947,0.00029204402,0.00008970464,0.0005810823,0.000014265723,0.0000770145,0.00041571184],"genre_scores_gemma":[0.9973284,0.0000063120633,0.0014931158,0.000445607,0.00022946941,0.00015657675,0.000109129054,0.000033180168,0.00019819535],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984375,0.000055158132,0.0003168184,0.000536132,0.0002830935,0.0003712751],"domain_scores_gemma":[0.999201,0.00015270025,0.00015772456,0.00032592338,0.000008042756,0.00015458153],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00027204092,0.00024412239,0.00018777906,0.00007855433,0.000421862,0.00004938575,0.00011810946,0.000155622,0.00031615133],"category_scores_gemma":[0.000071221744,0.00024704146,0.00006324142,0.00016008044,0.00087132555,0.0001817601,0.00007052421,0.0000869691,0.00003107952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017378136,0.0018398875,0.3109762,0.00007437492,0.00009570967,0.0000020852733,0.0010793386,0.44905764,0.075542346,0.0012669804,0.001330854,0.15699677],"study_design_scores_gemma":[0.017447602,0.001758878,0.36659452,0.000050852334,0.00034255427,0.0000041975763,0.00064475444,0.24978676,0.3196605,0.006708323,0.034751367,0.002249667],"about_ca_topic_score_codex":0.00038093535,"about_ca_topic_score_gemma":0.00024312714,"teacher_disagreement_score":0.24411817,"about_ca_system_score_codex":0.0004680091,"about_ca_system_score_gemma":0.000021609134,"threshold_uncertainty_score":0.9999982},"labels":[],"label_agreement":null},{"id":"W2896139373","doi":"10.32315/jlbi.6.1.9","title":"Identifikasi Nilai Embodied Energy sebagai Upaya Mitigasi Energi dalam perencanaan Bangunan","year":2016,"lang":"id","type":"article","venue":"Jurnal Lingkungan Binaan Indonesia","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Encana (Canada)","funders":"","keywords":"Physics; Humanities; Forestry; Art; Geography","score_opus":0.00774433812403563,"score_gpt":0.21939673257291886,"score_spread":0.21165239444888323,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2896139373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9855344,0.00073380163,0.00031313163,0.0020702716,0.0014818589,0.0005255098,0.00010660895,0.00017521677,0.009059177],"genre_scores_gemma":[0.96555835,0.00081134797,0.00017774942,0.0005437693,0.0007492002,0.00006409768,0.000047196925,0.00020682836,0.031841442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9910833,0.0008577727,0.0016870183,0.0019817024,0.0018405654,0.0025496262],"domain_scores_gemma":[0.9952445,0.0003050401,0.00083203404,0.0017770586,0.00007968444,0.0017616781],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0012656095,0.0013883739,0.0011820591,0.00034632444,0.0012295605,0.00047357185,0.0017001341,0.00066420186,0.0020879542],"category_scores_gemma":[0.00023711205,0.0010882649,0.0008437247,0.00082477514,0.0020407834,0.0014534985,0.001042988,0.00077338744,0.00095862447],"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":[0.0003112365,0.0012152225,0.76400226,0.000118896336,0.0002576993,0.00066423096,0.0013900407,0.00003311782,0.19795583,0.0030413882,0.0019678858,0.029042207],"study_design_scores_gemma":[0.0026669542,0.0006343418,0.82022196,0.000346277,0.00029613505,0.0002231684,0.0009946781,0.000092215625,0.13719812,0.0012399113,0.034221634,0.0018645953],"about_ca_topic_score_codex":0.0015280267,"about_ca_topic_score_gemma":0.0008608588,"teacher_disagreement_score":0.0607577,"about_ca_system_score_codex":0.0030530465,"about_ca_system_score_gemma":0.00031086395,"threshold_uncertainty_score":0.9998867},"labels":[],"label_agreement":null},{"id":"W2897882793","doi":"10.18280/mmep.050302","title":"Introducing exergy analysis in life cycle assessment: A case study","year":2018,"lang":"en","type":"article","venue":"Mathematical Modelling and Engineering Problems","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Exergy; Life-cycle assessment; Environmental science; Economics; Engineering; Process engineering; Macroeconomics; Production (economics)","score_opus":0.012573812320344883,"score_gpt":0.24486205167815484,"score_spread":0.23228823935780996,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2897882793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7194313,0.0000110201445,0.27991536,0.000022745042,0.000011328153,0.00018657197,4.069183e-7,0.000036176723,0.00038510902],"genre_scores_gemma":[0.9827483,0.0000037818556,0.017123967,0.000011801454,0.000021926735,0.00003277627,6.70551e-7,0.000015281048,0.000041436848],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988323,0.0000312277,0.00030527465,0.00034046164,0.00017851546,0.000312235],"domain_scores_gemma":[0.99948096,0.000059812577,0.000029469811,0.00026260194,0.0000036654546,0.00016350274],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006387,0.00015671477,0.00026506485,0.00009137393,0.00008913826,0.000052455285,0.00008045064,0.000047795216,0.00027459135],"category_scores_gemma":[0.00003670951,0.0001381038,0.00004373965,0.0004341438,0.000081247614,0.00014567273,0.00013871281,0.00015485588,0.00001835013],"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":[0.0000021464307,0.00026831744,0.020292545,0.000042912878,0.000040153416,0.00005265359,0.0039719436,0.9749185,0.000042788626,0.00008842848,0.0000012017224,0.0002784004],"study_design_scores_gemma":[0.00019750353,0.00010105453,0.0031188994,0.000012674543,0.000073207935,0.000033996428,0.0010109157,0.9937646,0.000006849358,0.0015096172,0.000009302268,0.00016138171],"about_ca_topic_score_codex":0.00074225164,"about_ca_topic_score_gemma":0.00007493667,"teacher_disagreement_score":0.26331708,"about_ca_system_score_codex":0.00012691456,"about_ca_system_score_gemma":0.0000034834732,"threshold_uncertainty_score":0.56317097},"labels":[],"label_agreement":null},{"id":"W2898028542","doi":"10.1139/facets-2017-0109","title":"Investigating the impacts of plausible Canadian policies and their supporting mechanisms on export-based regional air pollution in China: A cement manufacturing case study","year":2018,"lang":"en","type":"article","venue":"FACETS","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"China; Business; Air quality index; Pollution; Air pollution; Natural resource economics; Political science; Economics; Geography","score_opus":0.01818333762711202,"score_gpt":0.2619243687376583,"score_spread":0.24374103111054626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898028542","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785954,0.000003776536,0.000026462787,0.0012091995,0.00002063599,0.0005575168,0.0000119353745,0.000010229076,0.0003006884],"genre_scores_gemma":[0.99893355,4.3050522e-7,0.00013989395,0.00086662004,0.000012147006,0.000015776302,0.0000025130146,0.000009782804,0.000019295077],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883944,0.000097090866,0.00024592443,0.00022754743,0.00019691813,0.00039305465],"domain_scores_gemma":[0.99945503,0.000028436687,0.00012105772,0.00019979823,0.0000027246997,0.00019292532],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00063791394,0.00015480495,0.00013211663,0.00007113599,0.0003179536,0.000018237646,0.00010508701,0.00004176265,0.00015945185],"category_scores_gemma":[0.000048531074,0.00010584886,0.000026054582,0.000114365655,0.00028009387,0.00012543384,0.000100943515,0.00012175401,0.0000047248514],"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":[0.000022894304,0.0002750948,0.943209,0.000022126105,0.000015337475,0.00009565768,0.040747263,0.003540358,0.010115157,0.00006997201,0.00015882097,0.0017283243],"study_design_scores_gemma":[0.00037642405,0.00047882638,0.9343821,0.000019682711,0.0000048941124,0.000052804313,0.028350173,0.0008334081,0.03486154,0.00046631426,0.00004897099,0.00012487666],"about_ca_topic_score_codex":0.35566878,"about_ca_topic_score_gemma":0.34644032,"teacher_disagreement_score":0.024746383,"about_ca_system_score_codex":0.0005652827,"about_ca_system_score_gemma":0.0000521438,"threshold_uncertainty_score":0.66548544},"labels":[],"label_agreement":null},{"id":"W2898203430","doi":"10.3390/su10113865","title":"Constructing the Embodied Carbon Flows and Emissions Landscape from the Perspective of Supply Chain","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"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":"National Natural Science Foundation of China","keywords":"Supply chain; Greenhouse gas; Carbon footprint; Environmental economics; Supply chain management; Environmental science; Business; Environmental engineering; Environmental resource management; Computer science; Natural resource economics; Economics; Ecology","score_opus":0.005398980289429305,"score_gpt":0.24072508243103766,"score_spread":0.23532610214160835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898203430","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97839075,0.000102320824,0.000020449896,0.006004906,0.00005777079,0.00065535837,0.000025831174,0.000022162312,0.014720421],"genre_scores_gemma":[0.99948555,0.000006159847,0.0001183817,0.00011101159,0.00007565638,0.000019322448,0.0000029353407,0.000009812822,0.00017115688],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99837583,0.00033451858,0.00024945484,0.0004084551,0.00026968544,0.00036207505],"domain_scores_gemma":[0.9985536,0.00047456496,0.00010274118,0.0006887274,0.000072177274,0.000108191954],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.000913488,0.0001740327,0.00019717799,0.000011596289,0.0004335569,0.000029286624,0.00031508537,0.00007671726,0.00087872054],"category_scores_gemma":[0.0016332129,0.000096800395,0.00007232461,0.00021251643,0.0028378416,0.000109237975,0.00054499327,0.00022990776,0.0000034529173],"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":[0.00006246634,0.000060388866,0.98395646,0.000008758218,0.000014245009,0.0000015927513,0.011039081,0.000012533214,0.00017986186,0.0016563941,0.00012387565,0.0028843174],"study_design_scores_gemma":[0.0002823545,0.00011098217,0.790372,0.0000049975756,0.000030746793,0.000003866296,0.1411196,0.0013580808,0.0007595981,0.065443434,0.00037617065,0.00013812874],"about_ca_topic_score_codex":0.012274556,"about_ca_topic_score_gemma":0.0020953813,"teacher_disagreement_score":0.19358446,"about_ca_system_score_codex":0.0009852125,"about_ca_system_score_gemma":0.000071537994,"threshold_uncertainty_score":0.99987584},"labels":[],"label_agreement":null},{"id":"W2898253298","doi":"10.3390/su10113863","title":"A Life Cycle Sustainability Assessment-Based Decision-Analysis Framework","year":2018,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":49,"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 Calgary","funders":"Alberta Innovates Bio Solutions","keywords":"Sustainability; Process (computing); Product (mathematics); Computer science; Decision support system; Engineering; Process management; Data mining; Mathematics; Ecology","score_opus":0.005320697920681581,"score_gpt":0.30831009641885615,"score_spread":0.3029893984981746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898253298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.85653526,0.000018325254,0.13414958,0.0038175418,0.0001489611,0.00142368,0.00002318433,0.00024019032,0.003643249],"genre_scores_gemma":[0.98587,0.0000015867553,0.011870715,0.0014777862,0.00012332454,0.00017199732,0.00002181151,0.000046554414,0.0004162482],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99361974,0.00074521883,0.0009961159,0.0017257261,0.0013195284,0.0015936776],"domain_scores_gemma":[0.9939299,0.000980297,0.00027802985,0.0029840963,0.00048530946,0.0013423729],"candidate_categories":["metaresearch","metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032890094,0.00062384485,0.0008385971,0.00023916867,0.00097357866,0.00019282846,0.0010209312,0.00041602156,0.020953832],"category_scores_gemma":[0.01768761,0.0005711349,0.000790248,0.0034348746,0.0034397454,0.00071276026,0.0010119254,0.0006852458,0.00023072127],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025337163,0.0010813083,0.9742516,0.00007291149,0.00014073486,0.000020775384,0.00054649304,0.010577358,0.0000069212338,0.0014341504,0.0007102646,0.010904097],"study_design_scores_gemma":[0.0004649802,0.00034071028,0.7954117,0.0000037304637,0.00031747547,9.1337245e-7,0.0020595696,0.015213342,0.00006970451,0.18208398,0.0034812528,0.0005526145],"about_ca_topic_score_codex":0.002197064,"about_ca_topic_score_gemma":0.0005594675,"teacher_disagreement_score":0.18064983,"about_ca_system_score_codex":0.011973317,"about_ca_system_score_gemma":0.0012439388,"threshold_uncertainty_score":0.999674},"labels":[],"label_agreement":null},{"id":"W2898264935","doi":"10.1111/wej.12394","title":"Water footprint assessment considering intermediate products: model and a 2016 case study of China","year":2018,"lang":"en","type":"article","venue":"Water and Environment Journal","topic":"Environmental Impact and Sustainability","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":"Canadian Museum of Nature","funders":"Guizhou Science and Technology Department","keywords":"Virtual water; Agriculture; Water use; Product (mathematics); Sustainability; Life-cycle assessment; China; Footprint; Business; Resource (disambiguation); Carbon footprint; Input–output model; Electricity; Agricultural economics; Productivity; Environmental science; Agricultural science; Natural resource economics; Environmental economics; Economics; Engineering; Mathematics; Production (economics); Water scarcity; Geography; Economic growth; Computer science; Greenhouse gas","score_opus":0.013273248155135482,"score_gpt":0.24902375504792706,"score_spread":0.2357505068927916,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898264935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99841875,0.000017393286,0.00044026744,0.00024989826,0.00005893007,0.00035527145,0.0000013076901,0.000007571666,0.000450615],"genre_scores_gemma":[0.9986487,0.00010637495,0.0008484514,0.000034158045,0.000051299703,0.000011533975,0.0000011416505,0.0000175251,0.000280801],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842966,0.00010130981,0.0003924192,0.000363617,0.0002866101,0.0004263704],"domain_scores_gemma":[0.99943763,0.000007078494,0.00006649448,0.00026192222,0.0000033902145,0.00022347295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006625785,0.0002214599,0.00023237511,0.000042529733,0.0003357805,0.000060783565,0.0001013226,0.00004641055,0.00051950186],"category_scores_gemma":[0.0000047502876,0.00012654957,0.000032790653,0.00001670511,0.0006389835,0.00025886518,0.00074152136,0.00022374236,0.000016497748],"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":[0.00017791113,0.0020755099,0.71596026,0.000072941344,0.00015997024,0.0010167015,0.068845905,0.0055355243,0.18716687,0.0000030706865,0.0001128795,0.018872432],"study_design_scores_gemma":[0.007639575,0.0067502977,0.8029261,0.00005947161,0.00036115007,0.013202651,0.031221269,0.015409792,0.11481522,0.004611707,0.0015511824,0.0014515651],"about_ca_topic_score_codex":0.00020176715,"about_ca_topic_score_gemma":0.000028750921,"teacher_disagreement_score":0.08696584,"about_ca_system_score_codex":0.00019357924,"about_ca_system_score_gemma":0.000004550933,"threshold_uncertainty_score":0.56881815},"labels":[],"label_agreement":null},{"id":"W2898436736","doi":"10.1016/j.gloenvcha.2018.10.004","title":"A contribution to harmonize water footprint assessments","year":2018,"lang":"en","type":"article","venue":"Global Environmental Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Belmont Forum","keywords":"Relation (database); Water resources; Water use; Product (mathematics); Footprint; Water security; Computer science; Perspective (graphical); Impact assessment; Environmental science; Environmental resource management; Environmental economics; Geography; Mathematics; Data mining","score_opus":0.021021121325149494,"score_gpt":0.28663862407617313,"score_spread":0.26561750275102364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2898436736","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99000454,0.000018961435,0.0006315427,0.0005174021,0.00026432073,0.0010143399,0.000093489296,0.0000773966,0.0073779854],"genre_scores_gemma":[0.99622756,0.000010268759,0.0006518726,0.0022295795,0.0002035382,0.00016781161,0.00006783528,0.000021684547,0.00041982534],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974738,0.00008506092,0.00027890046,0.00066385383,0.00058482593,0.0009136062],"domain_scores_gemma":[0.9989551,0.00000674528,0.000048348054,0.000491737,0.0000031510187,0.0004949753],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00028183192,0.00032914028,0.00022356746,0.000022215352,0.00029105353,0.00005167674,0.0003516574,0.00012458957,0.008422296],"category_scores_gemma":[0.0000150704445,0.00026937368,0.00010713641,0.00014408577,0.00048796437,0.0003197727,0.0011204962,0.00011309816,0.011300229],"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":[0.00024636032,0.0006948694,0.9246758,0.0000063556377,0.000033525583,0.000036349997,0.00080112694,0.00001509443,0.0417688,0.00014743627,0.000801948,0.030772323],"study_design_scores_gemma":[0.00071574416,0.00078657415,0.89203334,0.0000063725297,0.000025645206,0.000022972754,0.00017832432,0.00012135982,0.038048934,0.0011605457,0.06643198,0.00046822193],"about_ca_topic_score_codex":0.00043872668,"about_ca_topic_score_gemma":0.00007598236,"teacher_disagreement_score":0.065630026,"about_ca_system_score_codex":0.0029334296,"about_ca_system_score_gemma":0.0000028851414,"threshold_uncertainty_score":0.99997586},"labels":[],"label_agreement":null},{"id":"W2899294720","doi":"10.1007/s11367-018-1539-4","title":"Overview and recommendations for regionalized life cycle impact assessment","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Operationalization; Robustness (evolution); Scale (ratio); Computer science; Geography; Cartography","score_opus":0.034900536524161155,"score_gpt":0.3956395904517257,"score_spread":0.36073905392756456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899294720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951422,0.00013671377,0.0064472244,0.03838575,0.00054757146,0.00036669875,0.000027300217,0.000011305069,0.0026554924],"genre_scores_gemma":[0.98765606,0.0003160355,0.008521246,0.0029177363,0.00039661248,0.000020287001,0.000011097576,0.000016753129,0.00014415167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980687,0.0001572025,0.0005926851,0.00018861948,0.00075330056,0.00023951122],"domain_scores_gemma":[0.9985713,0.0003066419,0.000518586,0.0002256231,0.00010146894,0.00027640333],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014694527,0.00017108864,0.00023923785,0.0000547138,0.00023901425,0.00013772727,0.0006050752,0.00004550016,0.0027088115],"category_scores_gemma":[0.00019644239,0.000113490256,0.00020382079,0.00008997475,0.0003176085,0.00051807583,0.00032416263,0.00019620158,0.000015409772],"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":[0.0016604773,0.0032189495,0.70952904,0.000059581085,0.0025974803,0.000032550368,0.0032179463,0.0059595746,0.004684576,0.013511381,0.1410108,0.11451767],"study_design_scores_gemma":[0.002426634,0.0007519708,0.9194802,0.000052931548,0.00008840112,0.00008278226,0.0010202174,0.01408355,0.00008705817,0.020171873,0.04150538,0.00024898807],"about_ca_topic_score_codex":0.00021851249,"about_ca_topic_score_gemma":0.000037575286,"teacher_disagreement_score":0.20995119,"about_ca_system_score_codex":0.0009581209,"about_ca_system_score_gemma":0.00018715019,"threshold_uncertainty_score":0.99820286},"labels":[],"label_agreement":null},{"id":"W2899921585","doi":"10.1016/j.scitotenv.2018.11.039","title":"Comparative analyses of different biogenic CO2 emission accounting systems in life cycle assessment","year":2018,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; Northwest A and F University","keywords":"Biomass (ecology); Environmental science; Life-cycle assessment; Carbon accounting; Carbon sequestration; Bioenergy; Caragana; Climate change; Fossil fuel; Accounting method; Carbon cycle; Accounting; Biofuel; Atmospheric sciences; Production (economics); Carbon dioxide; Agronomy; Ecology; Economics; Ecosystem; Waste management; Engineering","score_opus":0.026431033238435694,"score_gpt":0.31278764165532635,"score_spread":0.28635660841689065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2899921585","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964454,0.00006232839,0.000032134387,0.00020488992,0.00013172651,0.00054716336,0.000006464067,0.0000058494975,0.0025640554],"genre_scores_gemma":[0.9996369,0.000014786506,0.00007868435,0.000014209518,0.00002016604,0.000015748046,6.0631123e-7,0.0000070107326,0.00021187162],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973667,0.00020801577,0.0005025161,0.0003759561,0.0011309119,0.00041588576],"domain_scores_gemma":[0.99862486,0.00007846797,0.00036812623,0.00079974445,0.000006391682,0.0001224258],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012286246,0.00019988649,0.00032471016,0.000052089497,0.0003570023,0.000029031045,0.0009804865,0.000041896863,0.00054245174],"category_scores_gemma":[0.000057079527,0.00010481673,0.00011750798,0.0004837531,0.0049664862,0.0002733912,0.0013254759,0.00015593949,0.000031845848],"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":[0.00003027326,0.00040855416,0.026078695,0.000014002593,0.000018002153,3.0338052e-7,0.0015461938,0.13202143,0.8396082,0.000059802765,0.000031495005,0.00018304042],"study_design_scores_gemma":[0.000235765,0.00015961351,0.786937,0.000030594645,0.000030385281,0.0000021976784,0.0020138451,0.04563541,0.16454412,0.00026465557,0.000009510605,0.000136926],"about_ca_topic_score_codex":0.0009227272,"about_ca_topic_score_gemma":0.000006389066,"teacher_disagreement_score":0.7608583,"about_ca_system_score_codex":0.0007850451,"about_ca_system_score_gemma":0.000038086993,"threshold_uncertainty_score":0.9977414},"labels":[],"label_agreement":null},{"id":"W2900257813","doi":"","title":"40544 Comparison of Energy consumption and CO_2 emissions due to Building construction between Canada and Japan","year":2011,"lang":"en","type":"article","venue":"Summaries of technical papers of Annual Meeting Architectural Institute of Japan. D-1, Environmental engineering I, Room acoustics and acoustic environment noise and solidborne sound environmental vibration light and color water supply and drainage water environment urban installation and environmental management environmental psychology and physiology environmental design electro-magnetic environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Energy consumption; Consumption (sociology); Environmental science; Greenhouse gas; Natural resource economics; Architectural engineering; Engineering; Economics; Geology","score_opus":0.006024483892612279,"score_gpt":0.1932598533755722,"score_spread":0.1872353694829599,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900257813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993603,0.0023251947,0.0019469792,0.00013123559,0.00007117075,0.0013201144,0.00046323723,0.000027159476,0.000111937174],"genre_scores_gemma":[0.98215896,0.00963446,0.007381667,0.00014294134,0.000034629844,0.000108217646,0.00036796366,0.00009493354,0.000076201315],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99479634,0.00024251034,0.0015702627,0.001693725,0.0007068119,0.0009903795],"domain_scores_gemma":[0.9980331,0.00018451504,0.00050701573,0.0005767883,0.0000010807598,0.0006975102],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00045511802,0.0011962408,0.0013326016,0.00023524727,0.0005906504,0.000038612536,0.00027885867,0.0004947515,0.00034785306],"category_scores_gemma":[0.000010001698,0.0010769957,0.0001228212,0.000051043175,0.0043952162,0.00050862983,0.001914969,0.0005095162,0.0000034997036],"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":[0.0004993048,0.0005919214,0.18571058,0.00026269382,0.0002361697,0.000012102478,0.0021233321,0.0032603815,0.7968447,0.00008065108,0.00000759846,0.010370562],"study_design_scores_gemma":[0.0025091963,0.0030414588,0.9281701,0.00010025483,0.0008164943,0.00017266936,0.0023376518,0.0016663925,0.058084924,0.0009366047,0.00078312744,0.001381169],"about_ca_topic_score_codex":0.00047208476,"about_ca_topic_score_gemma":0.000038864877,"teacher_disagreement_score":0.7424595,"about_ca_system_score_codex":0.00028423345,"about_ca_system_score_gemma":0.0000051671655,"threshold_uncertainty_score":0.99916804},"labels":[],"label_agreement":null},{"id":"W2900746815","doi":"10.18174/581066","title":"Energiemonitor van de Nederlandse glastuinbouw 2021","year":2022,"lang":"nl","type":"report","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Art","score_opus":0.01186264609851837,"score_gpt":0.2623684579645964,"score_spread":0.250505811866078,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2900746815","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3983985,0.0010978972,0.00025669846,0.00065352186,0.0018862821,0.0011010702,0.00022755042,0.000096148084,0.59628236],"genre_scores_gemma":[0.43982345,0.004797933,0.0006923197,0.00060443406,0.0007935496,0.00018895564,0.00030115226,0.00014782207,0.5526504],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99252164,0.00056183554,0.001057956,0.0016086296,0.0023595002,0.0018904055],"domain_scores_gemma":[0.99661326,0.00019229304,0.00047822605,0.0016656461,0.00002437405,0.0010262001],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019618075,0.0010348173,0.00096377695,0.00013120478,0.001063272,0.00022719266,0.0011905555,0.0006221434,0.6341749],"category_scores_gemma":[0.00037794665,0.000998663,0.00071321294,0.0005036971,0.00078761135,0.0004392487,0.002607462,0.0014519475,0.0043221605],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019649477,0.0016879562,0.74382585,0.0003144989,0.00031995767,0.0015624919,0.001473867,0.0051339595,0.004425401,0.000039107374,0.13594586,0.10507457],"study_design_scores_gemma":[0.00063946197,0.00061243825,0.1808436,0.000028886601,0.00023101813,0.0002739945,0.007254982,0.00055107527,0.0009974715,0.00043138216,0.80669194,0.0014437493],"about_ca_topic_score_codex":0.009629831,"about_ca_topic_score_gemma":0.00034755448,"teacher_disagreement_score":0.6707461,"about_ca_system_score_codex":0.011688321,"about_ca_system_score_gemma":0.0006740069,"threshold_uncertainty_score":0.99924636},"labels":[],"label_agreement":null},{"id":"W2901008387","doi":"10.1504/ijgw.2019.10017597","title":"How to model a complex national energy system? Developing an integrated energy systems framework for long-term energy and emissions analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Global Warming","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Greenhouse gas; Energy planning; Environmental economics; Energy consumption; Energy (signal processing); Energy management; Baseline (sea); Energy system; Efficient energy use; Energy engineering; Energy policy; Environmental resource management; Energy modeling; Systems engineering; Environmental science; Engineering; Renewable energy; Economics","score_opus":0.025963232948575,"score_gpt":0.31942117435306083,"score_spread":0.29345794140448583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901008387","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22107498,0.000036429723,0.77764815,0.0006246082,0.00026582286,0.000046086312,0.00006567539,0.000013759408,0.0002244702],"genre_scores_gemma":[0.97255224,0.000011979124,0.026402729,0.00048280755,0.0003079807,0.000010834594,0.00003272337,0.000012122239,0.00018658658],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979993,0.00008545687,0.0004925573,0.0002990818,0.0008461698,0.0002773944],"domain_scores_gemma":[0.998788,0.000081934006,0.0003523563,0.00012852573,0.00031362497,0.0003355456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035476487,0.00020462922,0.00030649378,0.00014815925,0.00019384443,0.00026141864,0.0005227709,0.00010729627,0.000035245546],"category_scores_gemma":[0.00019288207,0.00017549754,0.00015084406,0.00033098695,0.0001501553,0.0005488517,0.00022514931,0.00006394192,7.544262e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001065125,0.00069959456,0.46505207,0.00006318281,0.0033864381,0.00017411531,0.0012600212,0.15968439,0.006245243,0.300766,0.002447336,0.05915651],"study_design_scores_gemma":[0.0014254474,0.0006377993,0.1319556,0.00045396664,0.00047999213,0.0007279474,0.002719265,0.83097506,0.0010690183,0.015476629,0.012987127,0.0010921693],"about_ca_topic_score_codex":0.0005501258,"about_ca_topic_score_gemma":0.00059258373,"teacher_disagreement_score":0.75147724,"about_ca_system_score_codex":0.0025762531,"about_ca_system_score_gemma":0.00009477453,"threshold_uncertainty_score":0.71565825},"labels":[],"label_agreement":null},{"id":"W2901490553","doi":"10.1007/s11367-018-1559-0","title":"Regionalization in LCA: current status in concepts, software and databases—69th LCA forum, Swiss Federal Institute of Technology, Zurich, 13 September, 2018","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Database; Current (fluid); Engineering; Computer science; Electrical engineering","score_opus":0.01799493902841951,"score_gpt":0.3415717204143907,"score_spread":0.3235767813859712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901490553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99215573,0.00033695647,0.003998924,0.002474775,0.0004304828,0.00019548081,0.000020168969,0.0000062797103,0.00038121344],"genre_scores_gemma":[0.9969907,0.0003646101,0.0022919448,0.00022197994,0.000073662944,0.0000065716727,0.0000131476545,0.000008463009,0.000028965664],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982826,0.00008796972,0.0005945816,0.00017590522,0.00062765286,0.00023129125],"domain_scores_gemma":[0.99919295,0.00006770232,0.00041775443,0.0001750637,0.000052789685,0.00009372598],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059950614,0.00013372362,0.00020688266,0.00014942072,0.00006581299,0.000030727304,0.0004112643,0.000043685464,0.00024239004],"category_scores_gemma":[0.00017922354,0.0001015035,0.000048067446,0.00020628194,0.0006842536,0.0006734925,0.00043212235,0.0002511418,0.000005882522],"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":[0.0001020742,0.00035148495,0.9837466,0.000009330064,0.000030262256,0.00001296999,0.00025829714,0.0019309173,0.00046304025,0.000515351,0.0012532335,0.011326443],"study_design_scores_gemma":[0.001554073,0.00018820389,0.9733296,0.000117434494,0.000010762521,0.000035495188,0.0012369928,0.0018691715,0.00031318393,0.0044793887,0.016727796,0.00013791058],"about_ca_topic_score_codex":0.0006011073,"about_ca_topic_score_gemma":0.0015779566,"teacher_disagreement_score":0.015474562,"about_ca_system_score_codex":0.00085972267,"about_ca_system_score_gemma":0.00012615397,"threshold_uncertainty_score":0.41391927},"labels":[],"label_agreement":null},{"id":"W2901921004","doi":"10.3390/w10111609","title":"Water Footprint for Pulse, Cereal, and Oilseed Crops in Saskatchewan, Canada","year":2018,"lang":"en","type":"article","venue":"Water","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"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 Saskatchewan","funders":"","keywords":"Canola; Agronomy; Sunflower; Yield (engineering); Environmental science; Agriculture; Crop; Productivity; Water use; Biology","score_opus":0.005370242677150466,"score_gpt":0.20541793922884538,"score_spread":0.2000476965516949,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2901921004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99675864,0.0000031474972,0.000022411761,0.00082834763,0.00007069164,0.0002662953,0.000005212258,0.000008404511,0.0020368306],"genre_scores_gemma":[0.9948229,7.4838636e-7,0.00017645454,0.00039111677,0.000034013578,0.00002864511,0.0000096033455,0.0000122339325,0.0045242882],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989623,0.000023377817,0.00015040871,0.00026193607,0.00012558821,0.00047643515],"domain_scores_gemma":[0.99967605,0.0000095542555,0.000009698598,0.00018834147,0.0000034495642,0.00011289453],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019154372,0.00012044827,0.00011328656,0.000012624984,0.00010048525,0.000025819163,0.00010025317,0.000048094455,0.0014760135],"category_scores_gemma":[0.000005671973,0.00007096729,0.000020603724,0.000022111095,0.00024499226,0.000091726964,0.00021182666,0.000060252278,0.00004764309],"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":[0.00014239449,0.00010584259,0.8388174,0.000037391525,0.000009711786,0.000018614854,0.007147238,0.000044058495,0.13898061,0.0000046155524,0.0015926328,0.013099449],"study_design_scores_gemma":[0.0006573764,0.00014049743,0.56780624,0.0000033616782,0.000006377892,0.0000055133114,0.0019175141,0.000092900234,0.39357084,0.0011527282,0.034401186,0.00024547224],"about_ca_topic_score_codex":0.6651864,"about_ca_topic_score_gemma":0.9484031,"teacher_disagreement_score":0.28321674,"about_ca_system_score_codex":0.0004083543,"about_ca_system_score_gemma":0.00001168145,"threshold_uncertainty_score":0.9994368},"labels":[],"label_agreement":null},{"id":"W2902146852","doi":"10.5539/jsd.v11n6p15","title":"Carbon Footprint Based on Household Consumption: Case Study on Cocoa Farmer’s Household in Polewali Mandar","year":2018,"lang":"en","type":"article","venue":"Journal of Sustainable Development","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Institut Pertanian Bogor; Universitas Hasanuddin; University of Sydney; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Carbon footprint; Consumption (sociology); Sustainability; Economics; Agricultural economics; Natural resource economics; Footprint; Greenhouse gas; Geography","score_opus":0.030750324849487472,"score_gpt":0.26659879833013705,"score_spread":0.23584847348064958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902146852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968029,0.000014291919,0.000038723905,0.00021658486,0.0001393287,0.00090271997,0.0000016169658,0.000022705935,0.0018611025],"genre_scores_gemma":[0.9986326,0.000004822042,0.000365845,0.00030216586,0.00005901153,0.000031718424,6.542634e-7,0.000036518584,0.0005666567],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968231,0.00022452063,0.0008506266,0.0004004757,0.00095787,0.00074342213],"domain_scores_gemma":[0.9987861,0.00008353296,0.00035101178,0.00041846605,0.000042012096,0.00031891317],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0018992081,0.00034710596,0.000405359,0.00033683557,0.0002942517,0.00007513083,0.00032120434,0.000107538246,0.00020168921],"category_scores_gemma":[0.00008959808,0.00029438504,0.00008872659,0.00037049066,0.00029196215,0.00014093897,0.00023893878,0.00046270867,0.000017804117],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007017488,0.0032641261,0.9553444,0.000051086827,0.000038731927,0.025117345,0.0063814116,0.006506289,0.00025712955,0.000020619671,0.00014844019,0.0021686803],"study_design_scores_gemma":[0.003450056,0.0025461519,0.93626004,0.000064665976,0.000028232686,0.00052780303,0.048914514,0.000117418516,0.003991371,0.00007655888,0.0035561235,0.00046705987],"about_ca_topic_score_codex":0.0007420656,"about_ca_topic_score_gemma":0.00021692054,"teacher_disagreement_score":0.0425331,"about_ca_system_score_codex":0.0046347934,"about_ca_system_score_gemma":0.00020678285,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W2902178268","doi":"10.1016/j.rser.2018.11.021","title":"Is the environmental opportunity of retrofitting the residential sector worth the life cycle cost? A consequential assessment of a typical house in Quebec","year":2018,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; HEC Montréal","funders":"","keywords":"Retrofitting; Life-cycle assessment; Single-family detached home; Engineering; Environmental economics; Life-cycle cost analysis; Architectural engineering; Economics; Geography; Reliability engineering","score_opus":0.01955746081723446,"score_gpt":0.2728809171342779,"score_spread":0.25332345631704345,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902178268","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99230856,0.0024563535,0.00033973687,0.0012828562,0.00005634279,0.0010186519,0.000008747524,0.000011491399,0.0025172622],"genre_scores_gemma":[0.99065185,0.0030757082,0.00007196331,0.00090671785,0.00007200707,0.000100619814,0.0000040911477,0.000022354448,0.0050946986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99694407,0.00087025884,0.0007840313,0.00037325587,0.00043068005,0.00059773336],"domain_scores_gemma":[0.99837863,0.00022089985,0.00041391558,0.00080422143,0.0000135348655,0.00016878895],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002659288,0.000251178,0.00047031228,0.0000381546,0.0005030373,0.000058977006,0.0005133527,0.0001021831,0.0015975848],"category_scores_gemma":[0.0003079701,0.00013086903,0.00017553353,0.0003672158,0.0020049398,0.00027193056,0.00074621633,0.00022461476,0.0000042982133],"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":[0.0008670451,0.0018552969,0.89097196,0.0007017951,0.00028146582,0.00009255282,0.011392186,0.003926203,0.009124885,0.005118835,0.02433257,0.051335182],"study_design_scores_gemma":[0.0017039882,0.00072642585,0.56333554,0.0001497329,0.00028203617,0.000030375631,0.024205975,0.0041623483,0.0051108077,0.0032883263,0.39632607,0.00067837496],"about_ca_topic_score_codex":0.092993975,"about_ca_topic_score_gemma":0.01758902,"teacher_disagreement_score":0.37199348,"about_ca_system_score_codex":0.00039607988,"about_ca_system_score_gemma":0.00017920331,"threshold_uncertainty_score":0.9993151},"labels":[],"label_agreement":null},{"id":"W2902450665","doi":"","title":"Handbook on Supply, Use and Input-Output Tables with Extensions and Applications","year":2018,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":75,"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":"","keywords":"Economics; Mathematical economics; Mathematics; Computer science","score_opus":0.011858565925110651,"score_gpt":0.21444462305873654,"score_spread":0.2025860571336259,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902450665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.959627,0.000427886,0.02445101,0.002322893,0.00002941448,0.0011402137,0.000116605464,0.000109337336,0.011775652],"genre_scores_gemma":[0.9679651,0.00094017526,0.022151353,0.00020934467,0.00001594511,0.00019157727,0.00021592158,0.000043588378,0.008266977],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708295,0.0011145115,0.00027266768,0.0008626792,0.00033808648,0.00032907882],"domain_scores_gemma":[0.99716127,0.00065822847,0.00020727838,0.0015446742,0.00013588216,0.0002926616],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013943597,0.000325481,0.00027162503,0.00006886711,0.0005451972,0.000371092,0.00040796932,0.00019801187,0.00034263195],"category_scores_gemma":[0.0003258061,0.00028704846,0.00005454533,0.000155622,0.001415249,0.00024254294,0.0018505892,0.00039860426,0.00004769828],"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":[0.000119920725,0.0021031324,0.86057913,0.00029464485,0.0001357185,0.000016121054,0.01348216,0.00037515312,0.0038538268,0.009975007,0.005316021,0.10374919],"study_design_scores_gemma":[0.0012005656,0.000008750848,0.8837093,0.001579926,0.00015748662,0.000049609025,0.000509874,0.004804477,0.018685574,0.010327715,0.0776733,0.0012934265],"about_ca_topic_score_codex":0.001917696,"about_ca_topic_score_gemma":0.0018239863,"teacher_disagreement_score":0.102455765,"about_ca_system_score_codex":0.0001947772,"about_ca_system_score_gemma":0.00004476807,"threshold_uncertainty_score":0.99995816},"labels":[],"label_agreement":null},{"id":"W2904195858","doi":"10.5539/ep.v6n1p27","title":"Carbon Footprint of ADU Students: Reasons and Solutions","year":2017,"lang":"en","type":"article","venue":"Environment and Pollution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Greenhouse gas; Environmental science; Carbon fibers; Carbon dioxide; Ecological footprint; Electricity; Footprint; Life-cycle assessment; Consumption (sociology); Environmental engineering; Sustainable development; Environmental protection; Engineering; Geography; Mathematics; Economics; Ecology; Production (economics)","score_opus":0.011782421928176101,"score_gpt":0.24786622357557994,"score_spread":0.23608380164740383,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2904195858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99345154,0.00017066809,0.00006285943,0.0006351179,0.000036532005,0.00021597526,0.000007949847,0.000009001212,0.0054103504],"genre_scores_gemma":[0.99840564,0.00053750956,0.00019890166,0.00002082668,0.000016572014,0.000010957462,0.0000022306954,0.000007473251,0.00079991255],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990851,0.00004252925,0.0001538398,0.00024883187,0.00024310712,0.00022653725],"domain_scores_gemma":[0.99934334,0.000008809247,0.00012208316,0.00040335994,7.411607e-7,0.0001216747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002974246,0.0001251513,0.0001308809,0.000016915694,0.00042902597,0.00003596702,0.00015780696,0.00006469202,0.0001597756],"category_scores_gemma":[0.00003200272,0.000116951356,0.000032465716,0.000013905512,0.0008650684,0.00011805991,0.0006548674,0.000080879145,0.00000963172],"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":[0.000019716395,0.00012142708,0.96922815,0.000007863436,0.000011370613,0.0000013968568,0.00034666932,0.000051205283,0.0077028284,0.00022346541,0.0000148806885,0.022271011],"study_design_scores_gemma":[0.00036520435,0.00010085693,0.99483603,0.0000073723795,0.00002778503,0.0000030014908,0.00019155453,0.000116089504,0.0008231199,0.0007591884,0.0026463924,0.00012338688],"about_ca_topic_score_codex":0.0008750919,"about_ca_topic_score_gemma":0.000059122598,"teacher_disagreement_score":0.025607882,"about_ca_system_score_codex":0.00015551054,"about_ca_system_score_gemma":0.0000023719626,"threshold_uncertainty_score":0.47691378},"labels":[],"label_agreement":null},{"id":"W2905064758","doi":"10.1007/s11367-018-1571-4","title":"The integration of long-term marginal electricity supply mixes in the ecoinvent consequential database version 3.4 and examination of modeling choices","year":2018,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada; Wallonie-Bruxelles International; Fédération Wallonie-Bruxelles; Kommission für Technologie und Innovation","keywords":"Electricity; Electricity generation; Renewable energy; Mains electricity; Marginal cost; Environmental economics; Term (time); Economics; Econometrics; Database; Engineering; Power (physics); Computer science; Microeconomics","score_opus":0.02006959903020607,"score_gpt":0.3139838890072079,"score_spread":0.29391428997700186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905064758","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99571025,0.00007566781,0.0022515613,0.0013808453,0.00012441614,0.00014550009,0.0000078454805,0.0000010972592,0.00030283438],"genre_scores_gemma":[0.9992751,0.00026878843,0.0002703163,0.00010338787,0.00005859061,0.000002645039,0.0000057827165,0.0000033549154,0.000012031626],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983119,0.000289766,0.00045381955,0.000086984015,0.0007528898,0.00010464263],"domain_scores_gemma":[0.9990889,0.0002674668,0.00041442277,0.00013395694,0.00006240164,0.000032880504],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023531169,0.00007831725,0.00010507162,0.000046809917,0.00010613306,0.000046787773,0.0005040157,0.000022245154,0.0001160974],"category_scores_gemma":[0.0001420529,0.000040986903,0.000050581988,0.00008039165,0.0003597119,0.00035557855,0.00014892872,0.0001566073,0.0000012509774],"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":[0.001135861,0.0011519497,0.85265887,0.000031933938,0.00019981603,0.00002546582,0.0043106545,0.0053960676,0.08902791,0.0012796603,0.00024210675,0.04453972],"study_design_scores_gemma":[0.00053344975,0.00025838296,0.95591426,0.000049898408,0.000022237415,0.00003083915,0.0015366948,0.03531643,0.0056396388,0.0006220975,0.000026358803,0.00004974078],"about_ca_topic_score_codex":0.00050482235,"about_ca_topic_score_gemma":0.00039129928,"teacher_disagreement_score":0.103255376,"about_ca_system_score_codex":0.00027845032,"about_ca_system_score_gemma":0.00004663252,"threshold_uncertainty_score":0.16713974},"labels":[],"label_agreement":null},{"id":"W2907677222","doi":"10.1016/j.scitotenv.2018.12.410","title":"Temporal variability of water footprint for cereal production and its controls in Saskatchewan, Canada","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"Saskatchewan Pulse Growers","keywords":"Yield (engineering); Agronomy; Environmental science; Grain yield; Water use; Spring (device); Agriculture; Productivity; Crop; Biology; Ecology; Engineering","score_opus":0.0051190275308665234,"score_gpt":0.19345238163580794,"score_spread":0.18833335410494143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2907677222","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971228,0.000008916424,0.0000058486053,0.0010743224,0.000122042664,0.0013228048,0.000009540752,0.0000021070566,0.00033159478],"genre_scores_gemma":[0.9988552,0.000001933381,0.000080496226,0.000013210853,0.0000070104297,0.000026979678,5.147156e-7,0.000005392778,0.0010092685],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984082,0.000090587244,0.0002912293,0.00034536456,0.00053397636,0.00033063407],"domain_scores_gemma":[0.9992496,0.00005238034,0.000111453104,0.0005203318,0.000004033253,0.00006223487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019116655,0.00012267487,0.00018144719,0.000013296713,0.000118151715,0.0000072260823,0.00040566328,0.000028700118,0.00019439314],"category_scores_gemma":[0.00008373533,0.00006314384,0.000048786547,0.00009714963,0.0010968625,0.00013798829,0.00059012254,0.00009458118,0.0000035758285],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013914406,0.00022860672,0.10934285,0.00005637155,0.000009080979,1.8096267e-7,0.0019593113,0.08468489,0.80244637,0.00008343439,0.000011972444,0.0010377705],"study_design_scores_gemma":[0.00032596948,0.00011863124,0.6844493,0.000009190573,0.000012309841,0.0000034666534,0.0015456774,0.0022271501,0.310111,0.0010413895,0.000039510374,0.00011641335],"about_ca_topic_score_codex":0.05036452,"about_ca_topic_score_gemma":0.010693788,"teacher_disagreement_score":0.57510644,"about_ca_system_score_codex":0.00073225034,"about_ca_system_score_gemma":0.000066092456,"threshold_uncertainty_score":0.9559592},"labels":[],"label_agreement":null},{"id":"W2908792923","doi":"10.1021/acs.est.8b05572","title":"Expansion of the Petroleum Refinery Life Cycle Inventory Model to Support Characterization of a Full Suite of Commonly Tracked Impact Potentials","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"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 Calgary","funders":"Office of Fossil Energy","keywords":"Refinery; Oil refinery; Life-cycle assessment; Greenhouse gas; Environmental science; Inventory analysis; Waste management; Engineering; Production (economics); Environmental engineering","score_opus":0.006597644952694217,"score_gpt":0.23124114245426963,"score_spread":0.22464349750157542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908792923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982668,0.000008728288,0.00025978932,0.00024045927,0.00007381219,0.00064703677,0.00007443699,0.0000214839,0.00040744746],"genre_scores_gemma":[0.9993339,0.000014159401,0.00027828335,0.00009279671,0.0000041381545,0.000015649168,0.000010440237,0.000017430879,0.00023320546],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99746275,0.00006249834,0.0006259137,0.00050110306,0.0008512737,0.0004964578],"domain_scores_gemma":[0.9983575,0.000014876021,0.00046633996,0.0009772185,0.000005926143,0.00017817662],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00070194755,0.00022847115,0.00040659952,0.00025226644,0.00011839788,0.000007423261,0.0010838566,0.00015923392,0.0012087633],"category_scores_gemma":[0.000068347705,0.00017415441,0.00016782933,0.0008657385,0.0027928664,0.000483022,0.0012239194,0.00018343751,0.00007034216],"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":[0.000046760426,0.00020985908,0.31017745,0.000009596099,0.0000044888334,3.5009373e-7,0.00027,0.008633414,0.67948157,0.00002559371,0.00000604243,0.0011348878],"study_design_scores_gemma":[0.0003354236,0.0006989962,0.65287787,0.0000150866745,0.000015970378,0.000007866063,0.00044975497,0.0053292867,0.33978042,0.00027491868,0.000044306933,0.000170113],"about_ca_topic_score_codex":0.00010490135,"about_ca_topic_score_gemma":0.000011000245,"teacher_disagreement_score":0.34270042,"about_ca_system_score_codex":0.00062190363,"about_ca_system_score_gemma":0.000076183926,"threshold_uncertainty_score":0.99992096},"labels":[],"label_agreement":null},{"id":"W2908921234","doi":"10.29011/2638-0013.100028","title":"Comparative Life Cycle Carbon Footprint of a Non-Residential Steel and Wooden Building Structures","year":2018,"lang":"en","type":"article","venue":"Current Trends in Forest Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Chicoutimi","funders":"","keywords":"Carbon footprint; Footprint; Architectural engineering; Environmental science; Engineering; Geography; Geology; Greenhouse gas; Archaeology","score_opus":0.07059809160882695,"score_gpt":0.4192729844664156,"score_spread":0.3486748928575886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2908921234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936977,0.00017412659,0.000015283074,0.000050159393,0.00009573946,0.00022548802,0.000005387185,0.000008580298,0.005727511],"genre_scores_gemma":[0.99959874,0.000023212338,0.00017906683,0.0000020269702,0.00007120152,0.000022969054,0.0000038690478,0.00001046455,0.00008845364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99781984,0.00020252795,0.00029424886,0.00042268314,0.00070271775,0.00055795436],"domain_scores_gemma":[0.9992733,0.00009386086,0.00006022987,0.0003321678,0.000019548983,0.00022091295],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075913325,0.0001581392,0.00025604825,0.00024863242,0.00014179615,0.000041448635,0.0003364336,0.00006900064,0.000372472],"category_scores_gemma":[0.000096577896,0.00013816565,0.000045952052,0.00058432546,0.001799308,0.00009947946,0.00091046287,0.00040589125,0.000007858978],"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":[0.0001496042,0.00023493869,0.951239,0.000039639166,0.000012128523,0.000003768326,0.003360323,0.00073220895,0.0055059725,0.00032436967,0.000111632966,0.038286418],"study_design_scores_gemma":[0.0005459459,0.00028247855,0.98503554,0.000027633447,0.000004795573,0.0000012653147,0.00058064336,0.0046140705,0.005181206,0.0034119042,0.00018228318,0.00013222048],"about_ca_topic_score_codex":0.0025827042,"about_ca_topic_score_gemma":0.0030134802,"teacher_disagreement_score":0.038154196,"about_ca_system_score_codex":0.00032092625,"about_ca_system_score_gemma":0.000023908478,"threshold_uncertainty_score":0.6629625},"labels":[],"label_agreement":null},{"id":"W2909553359","doi":"10.1007/s42524-019-0002-y","title":"Comprehensive analysis on China’s National Climate Change Assessment Reports: Action and emphasis","year":2019,"lang":"en","type":"article","venue":"Frontiers of Engineering Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"National Development and Reform Commission","keywords":"Climate change; Vulnerability (computing); China; Vulnerability assessment; Political economy of climate change; Environmental resource management; Environmental planning; Corporate governance; Climate change adaptation; Environmental science; Political science; Business; Psychological resilience; Computer science","score_opus":0.009208580804580528,"score_gpt":0.24734117602949607,"score_spread":0.23813259522491553,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2909553359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894425,0.00005218529,0.0028866972,0.00011187177,0.00023113258,0.00046913812,0.0000074892555,0.00003102825,0.0067679146],"genre_scores_gemma":[0.99329704,0.00013593493,0.006252151,0.000051997522,0.000010749066,0.000031342246,0.000018278859,0.000009686636,0.00019279442],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989487,0.000014809114,0.00018913213,0.00028013624,0.00037659882,0.00019061755],"domain_scores_gemma":[0.9996221,0.0000076892675,0.00008881769,0.00021911939,0.0000046592577,0.00005762915],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001933243,0.00013170317,0.0001919578,0.00015022072,0.00003625792,0.000015377884,0.00006736629,0.000031723655,0.00016901639],"category_scores_gemma":[0.0000041297662,0.00013098893,0.00007866716,0.0002451375,0.000034787638,0.00019629364,0.00015450662,0.0000641966,0.000007849247],"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":[0.000027569171,0.00018362334,0.7726958,0.00014109249,0.0005258267,0.000015899619,0.00021765789,0.21785499,0.00037489293,0.00035855075,0.0010605543,0.0065435497],"study_design_scores_gemma":[0.00016122525,0.00007075775,0.9714823,0.0000069969046,0.00010373402,9.427939e-7,0.00025436273,0.023405978,0.00006310518,0.000050763647,0.00427425,0.00012563523],"about_ca_topic_score_codex":0.00005766861,"about_ca_topic_score_gemma":0.0000018637319,"teacher_disagreement_score":0.19878645,"about_ca_system_score_codex":0.00042546375,"about_ca_system_score_gemma":0.0000011777337,"threshold_uncertainty_score":0.5341574},"labels":[],"label_agreement":null},{"id":"W2910848777","doi":"10.1016/j.energy.2019.01.067","title":"Analysis of regional difference decomposition of changes in energy consumption in China during 1995–2015","year":2019,"lang":"en","type":"article","venue":"Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"National Natural Science Foundation of China","keywords":"Energy consumption; Energy intensity; China; Consumption (sociology); Energy (signal processing); Intensity (physics); Efficient energy use; Decomposition; Economics; Energy conservation; Environmental science; Agricultural economics; Natural resource economics; Geography; Statistics; Ecology; Mathematics; Physics; Biology","score_opus":0.006837684347103779,"score_gpt":0.23944983310786647,"score_spread":0.2326121487607627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910848777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9993192,0.000057103505,0.0000610883,0.000052739633,0.000016044538,0.00003500601,0.000004274926,0.0000039333345,0.00045063466],"genre_scores_gemma":[0.9995139,0.00015621142,0.00004174165,0.000023917546,0.000003478801,0.0000072958755,0.000028408733,0.0000044277235,0.00022060661],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991556,0.00007888368,0.0002124654,0.00019949077,0.00019630372,0.00015726106],"domain_scores_gemma":[0.99963814,0.000028564216,0.00010289352,0.00019152765,0.0000017826344,0.000037086073],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011213317,0.00008865851,0.00022754032,0.00018923054,0.000012111383,0.0000026431921,0.00010640258,0.000055618835,0.0010142861],"category_scores_gemma":[0.0000054970296,0.00008599878,0.000053859698,0.00039812835,0.00010816565,0.00008869685,0.0000909779,0.00004178946,0.0000025070394],"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":[0.000045382087,0.00014267952,0.8990323,0.000012108254,0.000015701571,0.0000015795687,0.00028073386,0.021234624,0.077844195,0.00017943383,0.0000016611248,0.0012096203],"study_design_scores_gemma":[0.00027185254,0.00004370099,0.9758606,0.000014235232,0.000016369499,6.566302e-7,0.0000641468,0.005204019,0.018228756,0.00018813486,0.000025354544,0.00008220234],"about_ca_topic_score_codex":0.00764583,"about_ca_topic_score_gemma":0.009613082,"teacher_disagreement_score":0.076828286,"about_ca_system_score_codex":0.00027512934,"about_ca_system_score_gemma":0.0000031993782,"threshold_uncertainty_score":0.9998989},"labels":[],"label_agreement":null},{"id":"W2910957671","doi":"10.1111/jiec.12738","title":"Nullius in Verba1: Advancing Data Transparency in Industrial Ecology","year":2018,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":65,"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":"Transparency (behavior); Industrial ecology; Credibility; Data sharing; Openness to experience; Sustainability; Open data; Computer science; Relevance (law); Incentive; Best practice; Data quality; Data science; Business; Ecology; Accounting; Political science; World Wide Web; Economics; Marketing; Psychology; Medicine; Computer security; Law; Biology","score_opus":0.059293786743368916,"score_gpt":0.29948100353052576,"score_spread":0.24018721678715685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2910957671","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9953135,0.000016823215,0.000018194933,0.001285467,0.0013865434,0.0003273411,0.000013730441,0.000005391077,0.001632966],"genre_scores_gemma":[0.9986037,0.000034769757,0.00024047482,0.00024077187,0.0007824878,0.0000040059413,0.0000071900554,0.000014632603,0.000071964314],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969024,0.0005192884,0.0012082605,0.00037480897,0.00029002357,0.0007052237],"domain_scores_gemma":[0.9985665,0.00030672306,0.00046695667,0.00043046076,0.000013462436,0.00021586174],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027387033,0.00020749266,0.00058126956,0.00021692293,0.00007636741,0.00001770734,0.0009469421,0.00061618857,0.004968176],"category_scores_gemma":[0.0015594421,0.00019115173,0.00006910796,0.0004951826,0.0005721307,0.0007772693,0.00040036018,0.0011867685,0.0000829331],"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":[0.00064266945,0.00044338027,0.9799964,0.0000017755184,0.000013202034,0.00023890217,0.00038470863,0.0007958749,0.0004620963,0.000008065193,0.003955945,0.013057025],"study_design_scores_gemma":[0.010143569,0.0031931514,0.96435976,0.00003973931,0.00004229196,0.00017947293,0.0012151593,0.0004272516,0.00053469616,0.0012029933,0.018305032,0.00035685973],"about_ca_topic_score_codex":0.0006621234,"about_ca_topic_score_gemma":0.01410646,"teacher_disagreement_score":0.015636573,"about_ca_system_score_codex":0.001676974,"about_ca_system_score_gemma":0.0002694141,"threshold_uncertainty_score":0.9959414},"labels":[],"label_agreement":null},{"id":"W2911908313","doi":"10.1289/isee.2011.01970","title":"USING CROSS-SECTIONAL BIOMONITORING STUDIES TO EXPLORE THE RELATIONSHIP BETWEEN HUMAN BODY BURDEN AND AGE","year":2011,"lang":"en","type":"article","venue":"ISEE Conference Abstracts","topic":"Environmental Impact and Sustainability","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":"The Scarborough Hospital; University of Toronto","funders":"","keywords":"Biomonitoring; Bioaccumulation; Context (archaeology); Cross-sectional study; Population; Environmental health; Demography; Environmental science; Geography; Biology; Ecology; Medicine; Statistics; Mathematics","score_opus":0.46813131416563125,"score_gpt":0.4313074081420023,"score_spread":0.03682390602362895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2911908313","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951938,0.000022376991,0.000035433823,0.00005063069,0.000081738464,0.00024172512,0.0000036876504,0.000027661887,0.0043429956],"genre_scores_gemma":[0.9992232,0.0000040214377,0.000303466,0.000022213391,0.00012938278,0.000015801617,0.0000036503693,0.000010604868,0.00028769966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988567,0.000049565344,0.00026376272,0.00029860713,0.0002462658,0.00028507694],"domain_scores_gemma":[0.9993505,0.00015317294,0.00008089381,0.00025008494,0.000012461877,0.00015287033],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041529583,0.00015157557,0.0001301077,0.00002929903,0.00058064196,0.00009673354,0.00020874676,0.00006916056,0.00019672548],"category_scores_gemma":[0.00022104112,0.00011701291,0.00003378235,0.000096875534,0.0005654655,0.0004058174,0.000289316,0.00017676284,0.000076657445],"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":[0.0000061684345,0.00001218972,0.98893374,0.00000762993,0.0000113036185,0.000007293587,0.0062479572,0.00051374617,0.003964139,0.00011342871,0.000010753753,0.00017165625],"study_design_scores_gemma":[0.00010040123,0.00004890661,0.99082893,0.000012937627,0.0000123957425,0.0000034716422,0.0025989278,0.0000025314991,0.0012943656,0.004856857,0.00009404275,0.00014622322],"about_ca_topic_score_codex":0.00085612404,"about_ca_topic_score_gemma":0.000043202373,"teacher_disagreement_score":0.0047434284,"about_ca_system_score_codex":0.00022849899,"about_ca_system_score_gemma":0.000009715259,"threshold_uncertainty_score":0.4771648},"labels":[],"label_agreement":null},{"id":"W2912085350","doi":"10.1007/s11367-019-01583-0","title":"IMPACT World+: a globally regionalized life cycle impact assessment method","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":554,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal; Université du Québec à Montréal","funders":"Hydro-Québec; ArcelorMittal; Alcoa Foundation","keywords":"Life-cycle assessment; Environmental science; Economics; Production (economics); Macroeconomics","score_opus":0.012419553020550604,"score_gpt":0.37627229108747734,"score_spread":0.36385273806692675,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912085350","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701342,0.000070384514,0.0048838938,0.0072954623,0.00065196166,0.00042859494,0.000026121064,0.00002140202,0.01648798],"genre_scores_gemma":[0.9874407,0.00005391824,0.009334365,0.0021953979,0.0002756918,0.00001029402,0.000013225221,0.000032762695,0.0006436221],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9950354,0.00050354016,0.00099923,0.0003423684,0.0026131733,0.0005062985],"domain_scores_gemma":[0.9973546,0.00042942291,0.0009914736,0.0005400903,0.00010927969,0.0005751203],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028655888,0.00036674226,0.00052548165,0.00014262168,0.00013573855,0.00027750456,0.0018070823,0.00007663414,0.014292819],"category_scores_gemma":[0.00016800221,0.00022798413,0.00072495354,0.000305126,0.00018092382,0.00088588224,0.0006994875,0.0005952512,0.00022723948],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00058993226,0.000958693,0.8574761,0.000006910951,0.0009839085,0.000054865744,0.00026642825,0.12272509,0.0024514243,0.0005512754,0.007472829,0.006462505],"study_design_scores_gemma":[0.0020805513,0.00046103122,0.97037554,0.00003386289,0.00006658384,0.00013314374,0.0003818771,0.018799089,0.000035547833,0.003777286,0.0035812305,0.0002742459],"about_ca_topic_score_codex":0.0010457534,"about_ca_topic_score_gemma":0.000057138073,"teacher_disagreement_score":0.112899415,"about_ca_system_score_codex":0.0043281373,"about_ca_system_score_gemma":0.000605371,"threshold_uncertainty_score":0.9994941},"labels":[],"label_agreement":null},{"id":"W2912194282","doi":"10.1007/s11067-019-9444-3","title":"Calibrating and Applying Random-Utility-Based Multiregional Input–Output Models for Real-World Applications","year":2019,"lang":"en","type":"article","venue":"Networks and Spatial Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Equivalence (formal languages); Calibration; Algorithm; Mathematical optimization; Econometrics; Economics; Computer science; Mathematics; Statistics","score_opus":0.012199997479273668,"score_gpt":0.22089740635269553,"score_spread":0.20869740887342186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912194282","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.68629646,0.00003984459,0.30841294,0.0001471985,0.00005119085,0.0017347224,0.000021633003,0.00002550501,0.0032705371],"genre_scores_gemma":[0.9966245,0.00007132593,0.0023588827,0.00033803124,0.00007793886,0.00025469216,0.00004325918,0.000017001012,0.00021436015],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990659,0.000025854364,0.00024265659,0.0003673542,0.00004521928,0.0002530478],"domain_scores_gemma":[0.9994002,0.00018669471,0.00008749666,0.00018990546,0.0000030804715,0.00013263129],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026991224,0.00014667105,0.00021198904,0.000019277359,0.00020386824,0.00006005316,0.00008074814,0.00007899988,0.00007752615],"category_scores_gemma":[0.000004335035,0.00014567414,0.000053437314,0.00003812914,0.0001754967,0.00021749463,0.00011041259,0.00009785532,0.0000031315678],"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":[0.0001791794,0.000055273733,0.3653532,0.000032670712,0.0000103308985,1.5195917e-7,0.00010799641,0.5213239,0.000014990068,0.0007786949,0.000050657072,0.11209297],"study_design_scores_gemma":[0.0012237441,0.000035210727,0.025249356,0.0000042214847,0.000010734352,4.949726e-7,0.000050044862,0.96659404,0.000011635388,0.0022919923,0.0043658945,0.00016264936],"about_ca_topic_score_codex":0.0016964445,"about_ca_topic_score_gemma":0.0015909233,"teacher_disagreement_score":0.44527012,"about_ca_system_score_codex":0.000113290575,"about_ca_system_score_gemma":0.000012636734,"threshold_uncertainty_score":0.59404194},"labels":[],"label_agreement":null},{"id":"W2912680110","doi":"10.1016/j.ijhydene.2019.01.003","title":"Comparative environmental impact assessment of various fuels and solar heat for a combined cycle","year":2019,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"Türkiye Bilimler Akademisi","keywords":"Life-cycle assessment; Environmental science; Ecotoxicity; Greenhouse gas; Natural gas; Fossil fuel; Eutrophication; Environmental engineering; Global warming; Electricity; Waste management; Environmental protection; Climate change; Ecology; Chemistry; Engineering","score_opus":0.006750104522333319,"score_gpt":0.28307432660662235,"score_spread":0.27632422208428903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2912680110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975561,0.00008007213,0.0012037301,0.00009709335,0.00012839671,0.00013103242,0.00003940669,0.0000028258398,0.00076135056],"genre_scores_gemma":[0.9988821,0.000050191396,0.0007838256,0.00009341895,0.000032745294,0.0000040563336,0.00001435804,0.000010565707,0.00012873036],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987216,0.00006028822,0.0004055908,0.0001533701,0.00048886193,0.00017029628],"domain_scores_gemma":[0.9994043,0.00009138844,0.00024754397,0.00011710578,0.000015075209,0.00012454609],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002726017,0.0001432732,0.00029774476,0.000060840877,0.000033602006,0.000021040523,0.00027965265,0.000047586578,0.0010334415],"category_scores_gemma":[0.000008932233,0.000116978976,0.00018579474,0.00003484333,0.00015985094,0.0003399774,0.00015980164,0.00008784963,0.0000051357974],"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":[0.00057933055,0.0010708654,0.6854922,0.000009877948,0.0006207786,0.000027208873,0.0009433143,0.046297994,0.2619659,0.00035519086,0.00016187337,0.002475472],"study_design_scores_gemma":[0.0060255816,0.003859435,0.82854074,0.00004030455,0.0001086368,0.00037036513,0.0008229686,0.042397857,0.10638461,0.0071857907,0.0037828155,0.00048090515],"about_ca_topic_score_codex":0.00018584463,"about_ca_topic_score_gemma":0.000012543087,"teacher_disagreement_score":0.15558128,"about_ca_system_score_codex":0.0005757919,"about_ca_system_score_gemma":0.000026746193,"threshold_uncertainty_score":0.9998798},"labels":[],"label_agreement":null},{"id":"W2913683941","doi":"10.5539/ibr.v12n3p31","title":"Rural and Urban in Vietnam Economic Structure","year":2019,"lang":"en","type":"article","venue":"International Business Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modernization theory; Industrialisation; Vietnamese; Agriculture; Poverty; Poverty reduction; Economic growth; Geography; Rural area; Agricultural economics; Development economics; Economics; Political science","score_opus":0.011987699111957023,"score_gpt":0.3102864611456129,"score_spread":0.2982987620336559,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2913683941","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.981879,0.000020452118,0.0000022467577,0.00091453444,0.00013451256,0.00019282868,0.000010630599,0.000005405668,0.016840417],"genre_scores_gemma":[0.99743736,0.000027894797,0.00004447684,0.000042767548,0.000038929284,0.000006687909,0.000012807973,0.0000070807037,0.0023819958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907196,0.00004773287,0.00011746496,0.00020220177,0.00033156946,0.00022910273],"domain_scores_gemma":[0.99972665,0.000047600595,0.00001663622,0.00014431571,0.000010960094,0.00005381783],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029240653,0.00006952474,0.000075290794,0.00008087067,0.0000381059,0.000057887897,0.00024573042,0.000046528436,0.010179521],"category_scores_gemma":[0.000049389924,0.0000622306,0.0000129140035,0.00012867512,0.00020938151,0.00036297808,0.00040240117,0.00018036732,0.00060213957],"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":[0.00003504111,0.000024604553,0.9926039,0.000005544231,0.0000026976759,0.0000041616613,0.00013440913,0.0007063956,0.0039039168,0.00010816294,0.00030983286,0.0021613068],"study_design_scores_gemma":[0.0002730137,0.000014697442,0.99036926,0.000007288342,3.1951345e-7,0.000005738395,0.00022617813,0.0007669891,0.0001777216,0.0014081555,0.0066810767,0.000069567184],"about_ca_topic_score_codex":0.0010311909,"about_ca_topic_score_gemma":0.00026297884,"teacher_disagreement_score":0.015558386,"about_ca_system_score_codex":0.0007378831,"about_ca_system_score_gemma":0.000014973148,"threshold_uncertainty_score":0.99072534},"labels":[],"label_agreement":null},{"id":"W2914386716","doi":"10.3390/f10020160","title":"Streamlined Life Cycle Assessment of an Innovative Bio-Based Material in Construction: A Case Study of a Phase Change Material Panel","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Resource efficiency; Industrial ecology; Robustness (evolution); Environmental impact assessment; Production (economics); Environmental economics; Life cycle inventory; Product (mathematics); Engineering; Design for the Environment; Operations management; Computer science; Sustainability; Product design; Mathematics","score_opus":0.025493145007845407,"score_gpt":0.32172287768481334,"score_spread":0.29622973267696795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914386716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99838597,4.6201225e-7,0.000006680756,0.000013052241,0.00016553901,0.0011952808,0.00014990772,0.000012075147,0.00007105891],"genre_scores_gemma":[0.9993989,1.7030376e-7,0.00043430045,0.000018633722,0.000027958478,0.00005873041,0.00004567239,0.0000112392245,0.0000044175576],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987592,0.0001338132,0.0003929226,0.0002615156,0.00024941837,0.00020312922],"domain_scores_gemma":[0.9993759,0.000017536198,0.00019107873,0.0003200945,0.000011466395,0.00008394007],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024961898,0.00014493338,0.00027206895,0.00007047055,0.000029746816,0.000012806193,0.000116010415,0.00006139345,0.0020977883],"category_scores_gemma":[0.000015276053,0.00012979259,0.000024006999,0.00029131773,0.00020887986,0.0002965708,0.00011841254,0.00006230936,0.000004741236],"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":[0.00045679504,0.0036277804,0.98262686,0.000044319637,0.000011062854,0.0001672474,0.0020195816,0.0006505946,0.008421109,0.0000080724185,0.0000014660828,0.001965144],"study_design_scores_gemma":[0.004919697,0.0033358475,0.9735055,0.000011899489,0.000012070023,0.000031530857,0.0071283607,0.0044544707,0.0063957674,0.00004717955,0.0000044420467,0.0001532224],"about_ca_topic_score_codex":0.006731984,"about_ca_topic_score_gemma":0.0028468864,"teacher_disagreement_score":0.009121315,"about_ca_system_score_codex":0.00019616741,"about_ca_system_score_gemma":0.000032244763,"threshold_uncertainty_score":0.9998823},"labels":[],"label_agreement":null},{"id":"W2914910419","doi":"10.3390/su11030636","title":"Exploring the Current Challenges and Opportunities of Life Cycle Sustainability Assessment","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":145,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; FPInnovations; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Scope (computer science); Life-cycle assessment; Risk analysis (engineering); Product (mathematics); Management science; Process management; Environmental resource management; Computer science; Business; Engineering; Environmental economics; Economics; Ecology; Production (economics)","score_opus":0.06525297284205389,"score_gpt":0.29362751249845925,"score_spread":0.22837453965640536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2914910419","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870557,0.0011084815,0.000039948285,0.0059121577,0.00015236161,0.0015738317,0.0000066010066,0.00004972864,0.004101154],"genre_scores_gemma":[0.9981466,0.001312157,0.00004195714,0.00006274128,0.000024333473,0.00017186903,0.000003049616,0.000020067493,0.000217217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99708474,0.0005065257,0.0005416975,0.0006494654,0.0005778429,0.00063974824],"domain_scores_gemma":[0.9979476,0.00030729084,0.00017741806,0.001157912,0.00012516255,0.00028466087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023143492,0.00030807385,0.00042079162,0.000045370813,0.00020922712,0.000034157954,0.00040135946,0.000053450996,0.00046642634],"category_scores_gemma":[0.00078602415,0.00022610667,0.00014599164,0.00014533632,0.0013988062,0.0008744321,0.0010103843,0.00039790684,0.000008688031],"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":[0.00007908052,0.00048024257,0.50526315,0.0010423796,0.000019165653,0.0000028850095,0.004157018,0.00075551146,0.0000124501275,0.009635004,0.000022639468,0.47853047],"study_design_scores_gemma":[0.00031467606,0.00019361672,0.9249445,0.000007706127,0.000018485836,0.0000012849882,0.02326842,0.00036081328,0.0000313535,0.043409176,0.007208088,0.00024183441],"about_ca_topic_score_codex":0.0003889514,"about_ca_topic_score_gemma":0.000047308524,"teacher_disagreement_score":0.47828862,"about_ca_system_score_codex":0.0023887553,"about_ca_system_score_gemma":0.00031538017,"threshold_uncertainty_score":0.92203623},"labels":[],"label_agreement":null},{"id":"W2915968991","doi":"10.4000/vertigo.20822","title":"Fondements des analyses de flux de matières et d’énergie et typologies d’applications pour la gouvernance des territoires et des organisations","year":2018,"lang":"fr","type":"article","venue":"VertigO","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":true,"route_about_ca":false,"ca_institutions":"","funders":"Agence Nationale de la Recherche","keywords":"Humanities; Political science; Physics; Art","score_opus":0.039810945639749615,"score_gpt":0.34871007399913084,"score_spread":0.3088991283593812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915968991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93212557,0.0011874776,0.049833555,0.0024722444,0.000049565366,0.00030691802,0.0000978734,0.00009344213,0.013833352],"genre_scores_gemma":[0.90599483,0.001301155,0.079494506,0.0009307437,0.00005014705,0.000098369055,0.000019810066,0.000037228274,0.012073201],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975395,0.00067097886,0.00033542572,0.00042968476,0.00027417217,0.0007502103],"domain_scores_gemma":[0.9987869,0.00034720163,0.0001305409,0.00045677082,0.00003122493,0.00024731876],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006339184,0.00031314552,0.00022562807,0.00005609749,0.00077324285,0.00019232696,0.00046797405,0.00018301989,0.0026612761],"category_scores_gemma":[0.00052086817,0.00030383945,0.00011833869,0.00033095913,0.0045372047,0.0009613877,0.000415328,0.00023086174,0.00037617484],"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":[0.000016394479,0.00068279647,0.9011857,0.00009542841,0.000085738546,0.000009718707,0.010808065,0.001703111,0.06054861,0.006950724,0.005496644,0.012417102],"study_design_scores_gemma":[0.00025515357,0.00013164773,0.83353704,0.000071854425,0.00009594632,0.000024433688,0.0027133098,0.0004503698,0.042999975,0.07461514,0.044813927,0.00029117207],"about_ca_topic_score_codex":0.0121183535,"about_ca_topic_score_gemma":0.009881116,"teacher_disagreement_score":0.06766442,"about_ca_system_score_codex":0.0019767154,"about_ca_system_score_gemma":0.0002664663,"threshold_uncertainty_score":0.99994135},"labels":[],"label_agreement":null},{"id":"W2918303983","doi":"10.1016/j.jenvman.2019.01.081","title":"Are per capita carbon emissions predictable across countries?","year":2019,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Harvard Kennedy School; Harvard T.H. Chan School of Public Health; Chinese Academy of Sciences; Harvard University; World Bank Group","keywords":"Per capita; Greenhouse gas; Industrialisation; China; Economics; Kuznets curve; Population; East Asia; Developing country; Geography; Agricultural economics; Environmental science; Natural resource economics; Economy; Economic growth; Ecology; Demography","score_opus":0.003922100851333336,"score_gpt":0.21925721367326845,"score_spread":0.2153351128219351,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2918303983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98186886,0.0002347093,0.000026409234,0.00028886064,0.0003629877,0.0004887647,0.000024847746,0.000014354606,0.016690228],"genre_scores_gemma":[0.98500705,0.00029431778,0.00035931062,0.0004708605,0.00006115729,0.0000079973715,0.0000030975355,0.000033234257,0.013762958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99738276,0.000077042045,0.0005986107,0.0003499929,0.0009975093,0.0005940759],"domain_scores_gemma":[0.99851507,0.00003068237,0.0006319787,0.000507266,0.000003048685,0.0003119844],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00059504004,0.00029227702,0.00036269586,0.000051612486,0.00015335108,0.000054298976,0.0004963681,0.000097844684,0.017650746],"category_scores_gemma":[0.000008520172,0.00024682467,0.00020521028,0.00007041405,0.00028439137,0.0005017816,0.0007456031,0.00030352233,0.0013164666],"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":[0.000112538626,0.00053956336,0.9895578,0.00005058674,0.00009440304,0.00013364379,0.0007274316,0.002031844,0.0037206835,0.000014989473,0.0019478222,0.0010686695],"study_design_scores_gemma":[0.0011196889,0.00025741337,0.92291,0.00003517647,0.00006854516,0.000053540858,0.0068303365,0.000120637014,0.000649237,0.00020188728,0.06746241,0.00029117396],"about_ca_topic_score_codex":0.000028761897,"about_ca_topic_score_gemma":0.0000061501664,"teacher_disagreement_score":0.066647865,"about_ca_system_score_codex":0.0014468223,"about_ca_system_score_gemma":0.0000047190374,"threshold_uncertainty_score":0.9999984},"labels":[],"label_agreement":null},{"id":"W2919925966","doi":"10.3390/ijerph16050743","title":"Water Footprint Allocation under Equity and Efficiency Considerations: A Case Study of the Yangtze River Economic Belt in China","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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 Windsor","funders":"National Social Science Fund of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Equity (law); Water use; Water resources; Gross domestic product; Footprint; Natural resource; Environmental economics; Yangtze river; Natural resource economics; China; Lexicographical order; Water resource management; Environmental resource management; Business; Economics; Econometrics; Environmental science; Geography; Economic growth; Mathematics","score_opus":0.053374738879517145,"score_gpt":0.38273672194535313,"score_spread":0.329361983065836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2919925966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946444,0.00006530502,0.000012730835,0.0044757673,0.00008529161,0.00047953322,0.000007280546,0.0000011278956,0.00022853284],"genre_scores_gemma":[0.9996089,0.00013572273,0.00003465491,0.00013422858,0.000017191156,0.00000488561,0.0000013717315,0.000005806606,0.000057237383],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979724,0.0003704122,0.00045643235,0.00019265505,0.0007110692,0.00029698704],"domain_scores_gemma":[0.99937624,0.00011976636,0.0001421423,0.00016113611,0.000009262029,0.00019142691],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0026130518,0.00008900939,0.00014985475,0.0001193344,0.00013545819,0.00006587295,0.00023365894,0.000035471232,0.00063839334],"category_scores_gemma":[0.00005818068,0.0000583824,0.000030980664,0.000046315447,0.00050382677,0.00033208248,0.0010284348,0.00030745962,0.000009327324],"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":[0.0000516202,0.0019118463,0.9728317,0.000011067068,0.000032749893,0.00006217316,0.009138184,0.00084664626,0.0020784733,0.00022978948,0.000019278365,0.012786457],"study_design_scores_gemma":[0.0011849811,0.00087101525,0.98050994,0.000010233322,0.0000017482107,0.00058976957,0.0127057135,0.00028428767,0.00019819924,0.0034491075,0.00012907494,0.00006592188],"about_ca_topic_score_codex":0.0044194325,"about_ca_topic_score_gemma":0.0013324132,"teacher_disagreement_score":0.0127205355,"about_ca_system_score_codex":0.0013237019,"about_ca_system_score_gemma":0.000077785204,"threshold_uncertainty_score":0.69899595},"labels":[],"label_agreement":null},{"id":"W2923166610","doi":"10.1139/er-2018-0110","title":"A review of input–output model application hot spots in the energy and environment fields based on co-words network analysis","year":2019,"lang":"en","type":"review","venue":"Environmental Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Shandong Academy of Sciences; National Natural Science Foundation of China","keywords":"Index (typography); Greenhouse gas; Science Citation Index; Social network analysis; Citation; Carbon footprint; Field (mathematics); Ecological footprint; Computer science; Operations research; Regional science; Sociology; Social science; Ecology; Library science; Sustainability; Mathematics","score_opus":0.029158346007606632,"score_gpt":0.30107358933858824,"score_spread":0.2719152433309816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923166610","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000047968224,0.99219626,0.0023015144,0.000077193225,0.000024532214,0.0033848505,0.00006515758,0.000008984617,0.0018935339],"genre_scores_gemma":[0.0010973649,0.99363637,0.00041476364,0.002812401,0.00003808872,0.0009104157,0.0005829907,0.00005718036,0.00045041583],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99432606,0.0012781442,0.0017480674,0.0011960675,0.0008331746,0.00061851006],"domain_scores_gemma":[0.99635553,0.00031244894,0.0010890373,0.0020623195,3.708396e-7,0.00018030402],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0024797465,0.0009118617,0.0029867315,0.00014822879,0.00011659274,0.000024351546,0.00091178366,0.00037493935,0.00078341604],"category_scores_gemma":[0.00004173833,0.0006168627,0.0012045824,0.00069844164,0.0004664055,0.00014360569,0.0003527448,0.00054759975,0.00029354307],"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":[0.000015640586,0.000521632,0.0013753204,0.010434834,0.00009417668,0.0000045775887,0.00008085932,0.0041162097,0.0000010568833,0.000011937247,0.0027106046,0.98063314],"study_design_scores_gemma":[0.00017991716,0.00013616355,0.0009471639,0.006210219,0.0020413795,0.0000049053424,0.0000135259925,0.004052809,8.187689e-7,0.0000471277,0.98578453,0.00058142317],"about_ca_topic_score_codex":0.000059696635,"about_ca_topic_score_gemma":0.000014578793,"teacher_disagreement_score":0.98307395,"about_ca_system_score_codex":0.0010185095,"about_ca_system_score_gemma":0.000024830404,"threshold_uncertainty_score":0.99962825},"labels":[],"label_agreement":null},{"id":"W2923253401","doi":"10.1088/1748-9326/aafce0","title":"Erratum: Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems (2018 <i>Environ. Res. Lett.</i> <b>13</b> 124020)","year":2019,"lang":"en","type":"erratum","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","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 Laval","funders":"","keywords":"Environmental science; Biomass (ecology); Soil carbon; Agroforestry; Carbon fibers; Soil science; Agronomy; Soil water; Materials science; Biology","score_opus":0.017037413090091214,"score_gpt":0.2675476584791778,"score_spread":0.25051024538908656,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923253401","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9798711,0.003901564,0.00008166315,0.0013343898,0.003802626,0.0047369804,0.00041430452,0.00007204874,0.005785306],"genre_scores_gemma":[0.9082446,0.0016446876,0.000087437016,0.00078258425,0.0011174366,0.00053059944,0.0011630344,0.0004768542,0.08595274],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9890659,0.001124784,0.0012249616,0.0026302668,0.0029625297,0.0029915906],"domain_scores_gemma":[0.99654174,0.00043774935,0.00045980926,0.0018169072,0.000007278705,0.00073654554],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0037314652,0.0012106639,0.0012446446,0.0004925569,0.0006647435,0.00035474615,0.0013521283,0.0011258859,0.0005693134],"category_scores_gemma":[0.0003265599,0.0012313884,0.00029527643,0.00059670367,0.002788647,0.0005768323,0.0024780296,0.0032274248,0.0005460001],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00048101807,0.0009911391,0.19529356,0.0021144752,0.00017574037,0.0005855451,0.0015012169,0.0023388567,0.11242902,0.000005954579,0.6811627,0.0029207724],"study_design_scores_gemma":[0.0078111533,0.0020343056,0.29070288,0.0018098046,0.00029546686,0.00018066417,0.008188213,0.018298894,0.001666697,0.00018242281,0.66239065,0.006438852],"about_ca_topic_score_codex":0.0018983432,"about_ca_topic_score_gemma":0.00016220305,"teacher_disagreement_score":0.11076233,"about_ca_system_score_codex":0.007875103,"about_ca_system_score_gemma":0.000100402416,"threshold_uncertainty_score":0.9999252},"labels":[],"label_agreement":null},{"id":"W2923998120","doi":"","title":"Méthode d'analyse : dosage des hydrocarbures pétroliers (C10 à C50) dans l'eau [ressource électronique] / Centre d'expertise en analyse environnementale du Québec","year":2004,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science","score_opus":0.006914961210063802,"score_gpt":0.21916316267150657,"score_spread":0.21224820146144277,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2923998120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9628893,0.0040571894,0.013502635,0.0072173453,0.00015714085,0.00094184873,0.000089040106,0.00017987132,0.0109656295],"genre_scores_gemma":[0.9729749,0.0013149403,0.0060439594,0.0010638691,0.00018471153,0.00005371082,0.000053884716,0.00013354498,0.018176464],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99295044,0.0009146042,0.0010661352,0.0016076192,0.0010585106,0.002402691],"domain_scores_gemma":[0.99674165,0.00017371499,0.0003105425,0.0013891801,0.000013171835,0.0013717327],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009706845,0.001159331,0.00088260963,0.00016810893,0.0012829012,0.00023201373,0.0011183263,0.00049828435,0.02369149],"category_scores_gemma":[0.00020204365,0.0011050429,0.00080363656,0.00066540175,0.0048489473,0.0013260011,0.0009188584,0.0007887119,0.0015518254],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025422126,0.0035078696,0.7512628,0.00014475349,0.00060034456,0.00045679673,0.048883427,0.10441433,0.07253282,0.00036637523,0.0013988992,0.016177371],"study_design_scores_gemma":[0.006615273,0.0014134535,0.6095866,0.00022077284,0.0019465822,0.00033367137,0.08352919,0.019824242,0.2449749,0.005421842,0.02204527,0.004088183],"about_ca_topic_score_codex":0.38360512,"about_ca_topic_score_gemma":0.23794602,"teacher_disagreement_score":0.17244208,"about_ca_system_score_codex":0.019430265,"about_ca_system_score_gemma":0.00030310085,"threshold_uncertainty_score":0.99922556},"labels":[],"label_agreement":null},{"id":"W2924131373","doi":"10.1007/s11367-019-01612-y","title":"Interpreting life cycle assessment results for integrated sustainability decision support: can an ecological economic perspective help us to connect the dots?","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Egg Farmers of Canada","keywords":"Sustainability; Weighting; Stakeholder; Sustainability organizations; Life-cycle assessment; Management science; Decision support system; Planetary boundaries; Prioritization; Environmental resource management; Computer science; Economics; Ecology; Artificial intelligence; Management","score_opus":0.010151120323763708,"score_gpt":0.33494563096315133,"score_spread":0.32479451063938763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2924131373","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673565,0.000007041425,0.0028487556,0.025299946,0.00081791735,0.0011664277,0.000097904805,0.000016823373,0.0023886652],"genre_scores_gemma":[0.9945837,0.000011406691,0.0021932211,0.002805548,0.00020432766,0.000047820038,0.000015680795,0.000021951722,0.0001163272],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9967036,0.00044856375,0.0010518981,0.00047436962,0.0008728279,0.00044870342],"domain_scores_gemma":[0.9968364,0.0013168115,0.0006857199,0.0005214382,0.00023737711,0.00040224075],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.004331065,0.0002832912,0.0003939658,0.00008191719,0.00025383633,0.00028282896,0.0016179981,0.00008979158,0.001418864],"category_scores_gemma":[0.001474823,0.00016750557,0.0002847896,0.000109422406,0.00025626138,0.00053436914,0.0007073204,0.0005129859,0.000036833575],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.005367707,0.0026526726,0.37176728,0.000017241235,0.00065510755,0.00006258011,0.0069305687,0.5815457,0.0011022309,0.004614958,0.005395294,0.019888671],"study_design_scores_gemma":[0.002552401,0.0025329476,0.88760895,0.000032333694,0.00005551726,0.000056949022,0.038334183,0.050087474,0.00014823148,0.014586065,0.0036449726,0.00035999325],"about_ca_topic_score_codex":0.001245295,"about_ca_topic_score_gemma":0.0007721023,"teacher_disagreement_score":0.5314582,"about_ca_system_score_codex":0.008939304,"about_ca_system_score_gemma":0.00070302805,"threshold_uncertainty_score":0.99949396},"labels":[],"label_agreement":null},{"id":"W2936691662","doi":"10.33805/2576-8484.129","title":"The Environmental Analysis of Polymers Process","year":2018,"lang":"en","type":"article","venue":"Edelweiss Applied Science and Technology","topic":"Environmental Impact and Sustainability","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":"Memorial University of Newfoundland","funders":"","keywords":"Production (economics); Supercritical fluid; Polycarbonate; Life-cycle assessment; Raw material; Environmental science; Cleaner production; Environmental impact assessment; Chemical industry; Process engineering; Waste management; Hazardous waste; Environmental economics; Manufacturing engineering; Environmental engineering; Engineering; Materials science; Chemistry; Municipal solid waste","score_opus":0.002800978882575551,"score_gpt":0.22794541680758257,"score_spread":0.22514443792500702,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2936691662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98788404,0.000041158662,0.0000697597,0.0004971651,0.000028658078,0.0001701067,0.0000030950462,0.000029221384,0.011276807],"genre_scores_gemma":[0.9996207,0.000022969694,0.00010550157,0.00007687816,0.000007683232,0.000020436726,8.0521266e-7,0.000004645293,0.00014042419],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985308,0.000008120595,0.00019191095,0.00040422883,0.00045256477,0.00041239875],"domain_scores_gemma":[0.99935263,0.000027656451,0.00009258568,0.00042959102,0.000008082297,0.00008942655],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006335239,0.000115498035,0.0001624795,0.0001973468,0.00077344355,0.000027237396,0.00058372586,0.00007399895,0.00047903604],"category_scores_gemma":[0.00004721653,0.00007915574,0.00002642206,0.0026836516,0.014566726,0.0001347216,0.00043380327,0.00009984113,0.00003294345],"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":[0.000047913698,0.00018101447,0.5168621,0.0000041367684,0.00010124317,0.000001577652,0.0014259216,0.000032010037,0.2991384,0.0077659213,0.00009896218,0.1743408],"study_design_scores_gemma":[0.00047154445,0.00048338153,0.6719499,0.0000027202802,0.00031739773,0.000010659442,0.015436302,0.0051914784,0.28274897,0.013660247,0.009182121,0.0005452617],"about_ca_topic_score_codex":0.000034091827,"about_ca_topic_score_gemma":0.000041911033,"teacher_disagreement_score":0.17379554,"about_ca_system_score_codex":0.000146684,"about_ca_system_score_gemma":0.000022628,"threshold_uncertainty_score":0.9881151},"labels":[],"label_agreement":null},{"id":"W2937109357","doi":"10.29173/mocs63","title":"Comparing cross laminated timber with concrete and steel: a financial analysis of two buildings in Australia","year":2017,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Profit margin; Cross laminated timber; Revenue; Timeline; Internal rate of return; Equity (law); Rate of return; Apartment; Building material; Finance; Engineering; Business; Civil engineering; Economics; Mathematics; Statistics","score_opus":0.013312322036047248,"score_gpt":0.26740484990468283,"score_spread":0.25409252786863556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2937109357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99880147,0.000016550632,0.00010940539,0.000029767016,0.000025973643,0.00022243847,0.00000972361,0.000016202031,0.000768443],"genre_scores_gemma":[0.9977292,0.000014540198,0.0018750594,0.00001580428,0.000011542816,0.000008417368,0.000005081446,0.000009964621,0.00033042385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987031,0.000012214511,0.0002910223,0.00045774246,0.00023604232,0.00029984114],"domain_scores_gemma":[0.99940497,0.000011107652,0.00025504295,0.00017374856,0.000027992282,0.00012711863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032066292,0.00020536457,0.0004132542,0.0001259665,0.00031375195,0.00019150286,0.00015626934,0.00009773612,0.00013955015],"category_scores_gemma":[0.000050346163,0.00018739999,0.000057785775,0.0002770634,0.0015706863,0.00082746387,0.00022848658,0.00017172536,0.0000021399023],"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":[0.00010245337,0.00001088264,0.9910296,0.00003758334,0.000052707885,0.000005394856,0.00044503526,0.00038914982,0.006697765,0.00030147922,0.00000875869,0.0009191748],"study_design_scores_gemma":[0.0011512697,0.00007927052,0.9859226,0.000029851108,0.00018150691,0.000012119495,0.0003417139,0.007881202,0.0038295998,0.00017454675,0.00017073064,0.00022559856],"about_ca_topic_score_codex":0.0021050337,"about_ca_topic_score_gemma":0.00053323986,"teacher_disagreement_score":0.007492052,"about_ca_system_score_codex":0.00015885735,"about_ca_system_score_gemma":0.000007616696,"threshold_uncertainty_score":0.76419497},"labels":[],"label_agreement":null},{"id":"W2939956414","doi":"10.1111/jiec.12865","title":"Raw material criticality assessment as a complement to environmental life cycle assessment: Examining methods for product‐level supply risk assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":90,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Life-cycle assessment; Supply chain; Industrial ecology; Risk analysis (engineering); Product (mathematics); Environmental economics; Scarcity; Business; Risk assessment; Criticality; Resource (disambiguation); Environmental resource management; Production (economics); Natural resource economics; Computer science; Environmental science; Sustainability; Economics","score_opus":0.056623895125929594,"score_gpt":0.3992506151993244,"score_spread":0.34262672007339484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2939956414","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832935,0.0000067006704,0.007765383,0.0025297313,0.0022349812,0.002543917,0.00022347303,0.000017538421,0.0013848174],"genre_scores_gemma":[0.8977624,0.000015288448,0.10043036,0.00090102496,0.0005082712,0.00011242966,0.00004295734,0.000045183944,0.00018205185],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9940017,0.0017223633,0.0016783826,0.0007361376,0.0008533218,0.0010081335],"domain_scores_gemma":[0.99675304,0.000890923,0.0009489011,0.00058048376,0.000036668393,0.00078998116],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0075080516,0.00046588373,0.0010531755,0.0001466563,0.0003488974,0.000159098,0.00073702075,0.00030316703,0.018986432],"category_scores_gemma":[0.00085366477,0.00041804748,0.00029072975,0.00018388666,0.00032110297,0.00061222876,0.0008322934,0.0009618163,0.000088770554],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007517279,0.0017478551,0.9267688,0.000026031455,0.00025187933,0.000022251226,0.0002764597,0.0050438843,0.031629,0.00025917424,0.0023879525,0.030835032],"study_design_scores_gemma":[0.0052269804,0.0058349213,0.968776,0.000023085806,0.0002253859,0.00006540202,0.0019571602,0.0012897841,0.0026007725,0.0018716597,0.011599307,0.00052957574],"about_ca_topic_score_codex":0.00021832183,"about_ca_topic_score_gemma":0.000027899694,"teacher_disagreement_score":0.09266498,"about_ca_system_score_codex":0.0038406374,"about_ca_system_score_gemma":0.00045654268,"threshold_uncertainty_score":0.99998343},"labels":[],"label_agreement":null},{"id":"W2940166410","doi":"10.3390/su11082258","title":"Life Cycle Assessment Contribution in the Product Development Process: Case Study of Wood Aluminum-Laminated Panel","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; Université de Sherbrooke; Université Laval","funders":"","keywords":"Life-cycle assessment; Environmental impact assessment; Solid wood; Lamination; Sandwich panel; Manufacturing engineering; Engineering; Materials science; Composite material; Structural engineering; Production (economics)","score_opus":0.009882595918130987,"score_gpt":0.285005237993823,"score_spread":0.275122642075692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2940166410","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99397683,0.000014977423,0.000019722193,0.00042146197,0.00004254427,0.0050370535,0.0000028869586,0.00002744104,0.00045709513],"genre_scores_gemma":[0.9994747,6.5005077e-7,0.000043920292,0.00006994404,0.000008534733,0.0002805298,0.000008989948,0.000012444933,0.00010029349],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967577,0.00066572987,0.0006576568,0.00065871637,0.00069540803,0.0005648284],"domain_scores_gemma":[0.99857205,0.00013073905,0.00019467603,0.000856891,0.000102706035,0.00014293738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030334839,0.00025899327,0.00035082016,0.000051860447,0.00018238137,0.00003189611,0.00038794274,0.000074172574,0.00043983568],"category_scores_gemma":[0.0010222774,0.00018897021,0.000056084347,0.00063513976,0.00027605373,0.0003848452,0.0002874761,0.00031885447,0.000016665801],"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":[0.00006569653,0.004520668,0.969561,0.00016057923,0.000015005674,0.00018574495,0.018915992,0.0031259789,0.000065004526,0.000019628169,0.0000133964895,0.0033513468],"study_design_scores_gemma":[0.0011559678,0.00051645684,0.84208494,0.00000454085,0.000017103275,0.000040570863,0.1544666,0.00049423426,0.00026688236,0.0006526225,0.0000939789,0.0002060879],"about_ca_topic_score_codex":0.0024271198,"about_ca_topic_score_gemma":0.00074414106,"teacher_disagreement_score":0.13555062,"about_ca_system_score_codex":0.0029152033,"about_ca_system_score_gemma":0.00037452442,"threshold_uncertainty_score":0.7705982},"labels":[],"label_agreement":null},{"id":"W2941307867","doi":"10.1021/acs.est.9b00093","title":"Driving Factors of Agricultural Virtual Water Trade between China and the Belt and Road Countries","year":2019,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":76,"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","funders":"Shanghai Jiao Tong University; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Virtual water; China; Divisia index; Business; International trade; Agriculture; Bilateral trade; General partnership; International economics; Natural resource economics; Economics; Energy intensity; Engineering; Geography; Water scarcity; Energy consumption","score_opus":0.0019611853139645838,"score_gpt":0.18102432577674807,"score_spread":0.1790631404627835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2941307867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975675,0.000062478415,0.000008915365,0.0012975065,0.00004557333,0.0004676901,0.000009059175,0.000032430078,0.00050888315],"genre_scores_gemma":[0.999605,0.00006179041,0.000047139485,0.00003810722,0.0000075616945,0.000009025965,0.0000048632646,0.000008766667,0.00021777343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815685,0.000047358266,0.00026608928,0.0005154682,0.00047375166,0.0005404927],"domain_scores_gemma":[0.99939966,0.00004570208,0.00009100715,0.0003433709,6.9302115e-7,0.000119581724],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00054988486,0.00023034764,0.00029851755,0.00008599298,0.00042018024,0.000038764894,0.00049308094,0.00012921759,0.00051288697],"category_scores_gemma":[0.000026610736,0.000121311525,0.000045761695,0.0002443424,0.011753508,0.00057894667,0.0011849467,0.0002384052,0.000041636813],"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":[0.000007654114,0.000029301644,0.8980139,0.000002885556,0.0000062511617,4.7343372e-7,0.0018043529,0.000033484823,0.09787965,0.0002253535,0.0000034257428,0.0019932776],"study_design_scores_gemma":[0.00049669424,0.0001942629,0.92079425,0.0000041842895,0.00001638445,0.0000134962975,0.0040594423,0.00002706577,0.07350089,0.00045171365,0.00026911212,0.00017249593],"about_ca_topic_score_codex":0.00014203691,"about_ca_topic_score_gemma":0.000014090281,"teacher_disagreement_score":0.024378762,"about_ca_system_score_codex":0.00029405882,"about_ca_system_score_gemma":0.0000047108647,"threshold_uncertainty_score":0.9909359},"labels":[],"label_agreement":null},{"id":"W2942507904","doi":"10.25358/openscience-3850","title":"Investigation of atmospheric transport and chemistry of semivolatile organic pollutants using earth system models","year":2018,"lang":"en","type":"article","venue":"Gutenberg Open Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Pollutant; Earth (classical element); Atmospheric chemistry; Environmental chemistry; Environmental science; Chemistry; Astrobiology; Earth system science; Atmospheric sciences; Geology; Ozone; Oceanography","score_opus":0.01947578999681274,"score_gpt":0.24301607746104242,"score_spread":0.2235402874642297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942507904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993549,0.000010782504,0.0009317446,0.00001171209,0.000026583417,0.00025855566,0.000011492025,0.000008531443,0.005191636],"genre_scores_gemma":[0.9920044,0.0000025992822,0.0077659646,0.000018124381,0.000006935444,0.0000018782514,5.581239e-7,0.0000071652803,0.00019238389],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986565,0.000022814778,0.00028997296,0.0003605344,0.00042550158,0.00024465812],"domain_scores_gemma":[0.9992751,0.000011198527,0.00017047372,0.00036065653,0.000023429562,0.00015912518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007464205,0.00010892402,0.00018979899,0.000006821588,0.00018936029,0.000026302065,0.00066699623,0.000044233893,0.0005036042],"category_scores_gemma":[0.000025185662,0.000097104086,0.000020527857,0.00069174665,0.0025903366,0.0012156368,0.00049122394,0.000048214923,0.000004505341],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011948035,0.000014623748,0.15269493,0.0000411936,0.0000024611409,9.2202964e-7,0.0014406405,0.00048394143,0.84477806,0.000027656426,0.0000018538581,0.00050174794],"study_design_scores_gemma":[0.0002987546,0.000098050135,0.41714674,0.000068497386,0.000019882053,0.000023831348,0.0018197681,0.10957087,0.47019982,0.0005455687,0.000008248909,0.0001999755],"about_ca_topic_score_codex":0.0010760869,"about_ca_topic_score_gemma":0.00003992159,"teacher_disagreement_score":0.37457827,"about_ca_system_score_codex":0.00019395228,"about_ca_system_score_gemma":0.00009998059,"threshold_uncertainty_score":0.9544203},"labels":[],"label_agreement":null},{"id":"W2942935046","doi":"10.5539/jas.v11n6p437","title":"Wind Power Generator Embodied Energy Payback Analysis for Rural Area in Paraná-Brazil","year":2019,"lang":"en","type":"article","venue":"Journal of Agricultural Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Embodied energy; Payback period; Wind power; Electricity generation; Electric power; Electricity; Turbine; Engineering; Environmental science; Automotive engineering; Mechanical engineering; Power (physics); Production (economics); Electrical engineering; Economics","score_opus":0.005654796363699223,"score_gpt":0.22553373892426015,"score_spread":0.21987894256056092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2942935046","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997142,0.00004580395,0.00007185354,0.00040707586,0.00016425778,0.00016167782,0.0000041465178,0.0000043727514,0.0019988008],"genre_scores_gemma":[0.99848706,0.000015341886,0.00053383765,0.00020945749,0.000026614476,0.0000022629556,0.0000021027595,0.000003742836,0.00071958406],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979935,0.00004588454,0.00047184492,0.00026192915,0.00073142647,0.0004953776],"domain_scores_gemma":[0.99914867,0.00005385042,0.00030155515,0.00018712094,0.000044269247,0.00026455632],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00083449495,0.00017381435,0.0003448559,0.000118181655,0.00013782317,0.00010001763,0.00057814905,0.000059964288,0.0010311503],"category_scores_gemma":[0.00007846058,0.000097329685,0.00027213682,0.0015039102,0.00034980293,0.0012688882,0.00014322106,0.00013379363,0.000026666228],"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":[0.000055111344,0.00015312008,0.8130631,0.0000030083115,0.000035377896,0.000005112761,0.0005310227,0.024158275,0.16089098,0.00008699328,0.00056414324,0.00045376847],"study_design_scores_gemma":[0.0004625142,0.0002465467,0.9928546,0.000006493036,0.000042066902,0.000019319203,0.0013017843,0.00028924656,0.0037809117,0.00016256649,0.0006516203,0.00018235337],"about_ca_topic_score_codex":0.00013536919,"about_ca_topic_score_gemma":0.00014074915,"teacher_disagreement_score":0.17979148,"about_ca_system_score_codex":0.0008047273,"about_ca_system_score_gemma":0.000035122164,"threshold_uncertainty_score":0.99988204},"labels":[],"label_agreement":null},{"id":"W2945773142","doi":"10.1080/09535314.2019.1610363","title":"Developing a multiple-criteria decision analysis for green economy transition: a Canadian case study","year":2019,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Energy Research Institute; University of Victoria","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Electrification; Economics; Government (linguistics); Greenhouse gas; Public economics; Environmental economics; Electricity; Engineering","score_opus":0.07230194147658535,"score_gpt":0.36808674006218917,"score_spread":0.2957847985856038,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945773142","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99340755,0.000020427358,0.00060053257,0.00018642846,0.00012979278,0.0029853587,0.00005640574,0.000013241343,0.002600269],"genre_scores_gemma":[0.998192,0.0000012747419,0.00020462449,0.00002863369,0.000060664286,0.00033757763,0.000016462514,0.000019708257,0.0011390625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978486,0.0002799656,0.00042804723,0.0006207695,0.00015545398,0.0006671661],"domain_scores_gemma":[0.9986021,0.00040280502,0.00004780882,0.0005615945,0.000016427834,0.0003692548],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0028642314,0.00015706454,0.00034637857,0.0003562642,0.00038378226,0.00016984793,0.0002986155,0.000087808134,0.002204281],"category_scores_gemma":[0.000034535948,0.00015751376,0.00012824268,0.00030108736,0.00009845558,0.0003923372,0.00012513346,0.00013692383,0.0010955922],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006260146,0.00006995318,0.9835366,0.0000460023,0.00020156086,0.00019405587,0.004497408,0.009312045,0.000028122042,0.00003319747,0.00034536977,0.0016730772],"study_design_scores_gemma":[0.004645268,0.0010115323,0.45831895,0.000037569698,0.00014892554,0.000566635,0.1488781,0.33630866,0.0000705717,0.00064505223,0.04818652,0.0011822248],"about_ca_topic_score_codex":0.69222474,"about_ca_topic_score_gemma":0.5030321,"teacher_disagreement_score":0.52521765,"about_ca_system_score_codex":0.0053155553,"about_ca_system_score_gemma":0.0001675236,"threshold_uncertainty_score":0.9996822},"labels":[],"label_agreement":null},{"id":"W2945914852","doi":"10.1007/s11367-019-01635-5","title":"Prioritizing regionalization efforts in life cycle assessment through global sensitivity analysis: a sector meta-analysis based on ecoinvent v3","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"IFP Energies Nouvelles","keywords":"Spatialization; Representativeness heuristic; Life-cycle assessment; Data collection; Ranking (information retrieval); Product (mathematics); Inventory analysis; Production (economics); Computer science; Environmental economics; Operations research; Engineering; Economics; Mathematics","score_opus":0.027704903404944997,"score_gpt":0.3305291923062834,"score_spread":0.3028242889013384,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2945914852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97207236,0.00004795335,0.018396216,0.0061088214,0.00022965249,0.00038505168,0.00004068936,0.00001772473,0.002701551],"genre_scores_gemma":[0.994105,0.000020602907,0.002574195,0.0031199453,0.00007975344,0.000015173017,0.000028518683,0.000016997215,0.000039849074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9951837,0.0007093034,0.0010042478,0.00042342872,0.0023432316,0.00033606464],"domain_scores_gemma":[0.9979382,0.00036104667,0.0009023472,0.00050175196,0.00008174808,0.00021486368],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002785911,0.00029749837,0.0008936925,0.00021371644,0.00010413237,0.00015736598,0.0005703496,0.00008136502,0.0017537724],"category_scores_gemma":[0.000114311406,0.00021093662,0.001369361,0.0009790944,0.00011804998,0.00060134946,0.00025872487,0.00034981058,0.000027640346],"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":[0.00008577387,0.0005172814,0.39648858,0.000004235865,0.01256217,0.00004427609,0.00008754896,0.5897228,0.0000746846,0.00027473326,0.000057435715,0.00008046274],"study_design_scores_gemma":[0.00069103803,0.00012538188,0.7612028,0.000007865096,0.009261903,0.000008436759,0.00031885636,0.22701722,0.000023352233,0.0009946042,0.00016441716,0.0001841263],"about_ca_topic_score_codex":0.0012621675,"about_ca_topic_score_gemma":0.00094287784,"teacher_disagreement_score":0.3647142,"about_ca_system_score_codex":0.0030926832,"about_ca_system_score_gemma":0.00022761231,"threshold_uncertainty_score":0.99915874},"labels":[],"label_agreement":null},{"id":"W2949243189","doi":"10.1111/jiec.12917","title":"Life cycle assessment and socioeconomic evaluation of the illicit crop substitution policy in Colombia","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"","keywords":"Socioeconomic status; Business; Coca; Agriculture; Agricultural economics; Natural resource economics; Economics; Agricultural science; Geography; Environmental science","score_opus":0.02362509459679939,"score_gpt":0.309006015638874,"score_spread":0.2853809210420746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949243189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965331,0.000009962512,0.0000010953441,0.0016916862,0.0002842051,0.00035088725,0.0000017723648,8.0522136e-7,0.001126466],"genre_scores_gemma":[0.99969035,0.000012137271,0.000019434188,0.00017525943,0.00006676024,0.000002479877,3.4535688e-7,0.000003220738,0.00003002809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99878246,0.00034910234,0.00041329855,0.00009110161,0.00022128533,0.0001427308],"domain_scores_gemma":[0.9993163,0.0000833673,0.00040727906,0.0001047064,0.0000130073095,0.00007538148],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020382074,0.00006588974,0.00020065528,0.000050852996,0.000041218602,0.000008582273,0.00013398805,0.00014729354,0.001609027],"category_scores_gemma":[0.0004164935,0.00004884507,0.000054112064,0.0000886733,0.00023687827,0.0001961749,0.000104998195,0.00027323724,0.000012026073],"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":[0.000047725418,0.00010148886,0.97240365,0.0000017736138,0.000010385752,4.3489734e-7,0.0001391997,0.022731613,0.0013854088,0.00006751037,0.00018600833,0.002924831],"study_design_scores_gemma":[0.00206151,0.00025463407,0.9942113,0.00000506462,0.000023121984,0.000008590718,0.0002976467,0.0016825891,0.00020410847,0.0009852172,0.0002197625,0.000046422952],"about_ca_topic_score_codex":0.00035299355,"about_ca_topic_score_gemma":0.0002203435,"teacher_disagreement_score":0.021807712,"about_ca_system_score_codex":0.0019770362,"about_ca_system_score_gemma":0.0004420215,"threshold_uncertainty_score":0.99930364},"labels":[],"label_agreement":null},{"id":"W2949534683","doi":"10.3311/ppso.19554","title":"Multi-region Input-Output-based Carbon and Energy Footprint Analysis of U.S. Manufacturing","year":2022,"lang":"en","type":"article","venue":"Periodica Polytechnica Social and Management Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Transport Canada","funders":"","keywords":"Carbon footprint; Greenhouse gas; Natural resource economics; Life-cycle assessment; Electricity; Footprint; Business; Input–output model; Environmental economics; Agricultural economics; Environmental science; Production (economics); Economics; Engineering; Geography","score_opus":0.01852086175694158,"score_gpt":0.24706753908104218,"score_spread":0.2285466773241006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2949534683","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995564,0.000067234054,0.00045145964,0.0010245778,0.000026486112,0.00014061014,0.000005216122,0.000048354792,0.0026720795],"genre_scores_gemma":[0.9985725,0.00008155429,0.00071833155,0.00022586383,0.000004867158,0.000058654918,0.000002735722,0.00000489817,0.00033057848],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854434,0.000081117585,0.00020797827,0.00043261636,0.00045862485,0.0002753127],"domain_scores_gemma":[0.9996349,0.000019304485,0.000118937845,0.00014738823,0.0000014953462,0.000077965306],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00040449153,0.00013663921,0.00022049856,0.00019239186,0.00094240316,0.000042124586,0.00027760494,0.00003166659,0.00011696269],"category_scores_gemma":[0.0000050130516,0.000114466515,0.00008760055,0.00060695753,0.0014998539,0.000064402004,0.001074749,0.00007815372,1.8217257e-7],"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":[0.00012511214,0.0010901601,0.72309905,0.00012974994,0.00043515707,0.0000456806,0.004177937,0.009944501,0.0030174607,0.002000918,0.00017719649,0.2557571],"study_design_scores_gemma":[0.00031229883,0.00016614457,0.97946286,0.0000023654377,0.00025788075,0.0000012341741,0.0021334202,0.008375486,0.00063820905,0.0002214841,0.00818649,0.00024215455],"about_ca_topic_score_codex":0.0021778573,"about_ca_topic_score_gemma":0.00021396538,"teacher_disagreement_score":0.2563638,"about_ca_system_score_codex":0.00015320176,"about_ca_system_score_gemma":0.000007475464,"threshold_uncertainty_score":0.72482985},"labels":[],"label_agreement":null},{"id":"W2950254958","doi":"10.82308/20432","title":"The cost of compliance to the Paris agreement and its distribution: An input-output analysis of Canada’s commitment","year":2018,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Distribution (mathematics); Government (linguistics); Economics; Climate policy; Natural resource economics; Business; Welfare economics","score_opus":0.022873888548219513,"score_gpt":0.25246734847934926,"score_spread":0.22959345993112976,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950254958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925713,0.000058985534,0.000005394132,0.0004683956,0.000088782246,0.0006663045,0.001214842,0.000009363624,0.004916665],"genre_scores_gemma":[0.99884826,0.00004085945,0.000056426707,0.00038842976,0.000008287497,0.00003734917,0.000036406072,0.000010963657,0.0005730266],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99758166,0.00030869467,0.00049876183,0.0004158448,0.000725825,0.00046918963],"domain_scores_gemma":[0.9984266,0.00015885523,0.00023218291,0.00080136827,0.00005815764,0.00032280313],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0012450246,0.00022726975,0.0003182208,0.000026927124,0.0013261063,0.000026777989,0.0005924565,0.00006162559,0.00035225725],"category_scores_gemma":[0.00019976476,0.0001516634,0.00009433127,0.0006545172,0.00047694932,0.00023970369,0.0005980273,0.00019285813,0.000020312938],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012255921,0.0028233693,0.3875137,0.00022109364,0.0032195316,0.000038859558,0.00056254864,0.014107385,0.03617423,0.049469348,0.0013961988,0.50324816],"study_design_scores_gemma":[0.0003283382,0.00039781255,0.82874084,0.000020023263,0.00028632907,0.0000026979335,0.000709114,0.0012389225,0.027819796,0.00051643624,0.13963632,0.0003034002],"about_ca_topic_score_codex":0.063174434,"about_ca_topic_score_gemma":0.42323092,"teacher_disagreement_score":0.50294477,"about_ca_system_score_codex":0.001350007,"about_ca_system_score_gemma":0.000023899742,"threshold_uncertainty_score":0.999974},"labels":[],"label_agreement":null},{"id":"W2950849392","doi":"10.1201/b16643-13","title":"The fossil energy use and CO2 emissions budget for Canadian agriculture","year":2014,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"Agriculture; Energy budget; Environmental science; Fossil fuel; Energy (signal processing); Greenhouse gas; Natural resource economics; Economics; Geography; Waste management; Geology; Engineering; Ecology; Biology; Oceanography; Physics; Archaeology","score_opus":0.008080126898980399,"score_gpt":0.19274177982161847,"score_spread":0.18466165292263806,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2950849392","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018617308,0.00033680737,0.0003291877,0.003032331,0.00014518097,0.0007035997,0.00016083743,0.000036855752,0.9933935],"genre_scores_gemma":[0.039691705,0.00024541252,0.00013776778,0.00076617836,0.000058640282,0.000026316786,0.000040920346,0.000026072077,0.95900697],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99890584,0.00001545365,0.00017404003,0.00034525123,0.0001753566,0.00038404332],"domain_scores_gemma":[0.9988602,0.00017275332,0.00006546022,0.00036022696,0.0000070554206,0.0005343299],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014263694,0.0002692732,0.00017749013,0.00001572769,0.00072717934,0.00012400457,0.00021171874,0.0002919306,0.0013585225],"category_scores_gemma":[0.0000628461,0.00015055807,0.00010167839,0.000013497717,0.0004189122,0.00009363118,0.00014680283,0.00015029397,0.00003342452],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002836757,0.000021700043,0.0072390013,0.00002435383,0.00007424929,0.000011508258,0.0002183079,0.00005077861,0.0002590533,0.1617897,0.78108716,0.04919584],"study_design_scores_gemma":[0.00009610553,0.000046975794,0.007441169,0.0000070058027,0.000026027014,0.0000062321665,0.00003461075,0.000041748128,0.000040686267,0.0091429725,0.9828694,0.00024706338],"about_ca_topic_score_codex":0.06712858,"about_ca_topic_score_gemma":0.38197535,"teacher_disagreement_score":0.31484678,"about_ca_system_score_codex":0.00050915667,"about_ca_system_score_gemma":0.000030026857,"threshold_uncertainty_score":0.9995544},"labels":[],"label_agreement":null},{"id":"W2954632388","doi":"10.29173/mocs89","title":"Environmental Benefits of Reusable Modular Mass Timber Construction for Residential use in Japan: an LCA Approach","year":2019,"lang":"en","type":"article","venue":"Modular and Offsite Construction (MOC) Summit Proceedings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Modular design; Reuse; Benchmark (surveying); Environmental resource management; Sustainability; Engineering; Environmental economics; Environmental science; Civil engineering; Architectural engineering; Computer science; Geography; Ecology; Waste management","score_opus":0.008603269206812831,"score_gpt":0.19812186450071473,"score_spread":0.1895185952939019,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2954632388","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969634,0.000053974163,0.00068617496,0.00003416937,0.00016056323,0.0011156985,0.00005809822,0.000035835983,0.00089209137],"genre_scores_gemma":[0.97435284,0.000060604732,0.024884667,0.000042583742,0.00004842079,0.00004758766,0.000061454055,0.000036888378,0.00046496425],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976824,0.00003321611,0.000528403,0.0008329642,0.00043788864,0.00048515995],"domain_scores_gemma":[0.9992398,0.000022988615,0.000240308,0.00028454346,0.000019118215,0.00019324863],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00042272048,0.00032890277,0.00041674695,0.00014441273,0.00017307514,0.00010829311,0.00019506716,0.00025736733,0.0004959865],"category_scores_gemma":[0.0000335729,0.0003455657,0.00011791477,0.00022484783,0.0007075636,0.0020601451,0.00016961386,0.00021805144,0.00002349377],"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":[0.00022265276,0.00015907473,0.9392457,0.00010277606,0.000022204556,5.522543e-7,0.00035677926,0.0031079194,0.050615482,0.0007995497,0.00005106612,0.005316268],"study_design_scores_gemma":[0.002978754,0.0005534477,0.9347623,0.000045958586,0.00009820345,0.00008258286,0.0066420226,0.026316237,0.023623088,0.0026459403,0.001448628,0.0008028262],"about_ca_topic_score_codex":0.00022926905,"about_ca_topic_score_gemma":0.0000244317,"teacher_disagreement_score":0.026992394,"about_ca_system_score_codex":0.0003557634,"about_ca_system_score_gemma":0.00001093819,"threshold_uncertainty_score":0.9998996},"labels":[],"label_agreement":null},{"id":"W2955379626","doi":"10.82308/54710","title":"Estimating Canada's virtual water trade using an Input-Output framework","year":2016,"lang":"en","type":"article","venue":"eScholarship@McGill (McGill)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual water; Commodity; Water use; Electricity; Production (economics); Economics; Non-revenue water; Agricultural economics; Environmental science; Estimation; Balance of trade; Business; International economics; International trade; Natural resource economics; Water resources; Water scarcity; Water conservation; Engineering; Microeconomics; Finance; Ecology","score_opus":0.01606184172230667,"score_gpt":0.2303607460849883,"score_spread":0.21429890436268162,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955379626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99528867,0.0000059189797,0.00006599748,0.00017585211,0.00041939647,0.00034640235,0.00019247945,0.00012173554,0.0033835724],"genre_scores_gemma":[0.991584,0.0000027296562,0.0068236548,0.00091897225,0.00005147979,0.000018216382,0.000011336103,0.00008898739,0.00050061085],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99599606,0.0003651952,0.00058040145,0.00093258126,0.00090565457,0.0012200965],"domain_scores_gemma":[0.99807245,0.00017598178,0.00013922871,0.0008659651,0.000010114482,0.0007362465],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000843013,0.00050578825,0.0003793924,0.00005338658,0.0012010692,0.000062451036,0.0006472733,0.00028890008,0.0022317858],"category_scores_gemma":[0.0004601357,0.00035085945,0.00012890322,0.00021000375,0.00035572608,0.001659701,0.00058811007,0.00056525023,0.00020874842],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013481999,0.0006953337,0.025501989,0.000044099583,0.000081722486,0.00027361175,0.00008136757,0.008278332,0.50034827,0.0038509185,0.00001622522,0.4606933],"study_design_scores_gemma":[0.003320555,0.0012477762,0.12980133,0.00042152207,0.00024931188,0.00031154128,0.001125607,0.005321331,0.69941473,0.08260719,0.071029104,0.0051500113],"about_ca_topic_score_codex":0.07342233,"about_ca_topic_score_gemma":0.04409961,"teacher_disagreement_score":0.4555433,"about_ca_system_score_codex":0.0043044994,"about_ca_system_score_gemma":0.000032252658,"threshold_uncertainty_score":0.9998943},"labels":[],"label_agreement":null},{"id":"W2955620864","doi":"10.22044/jme.2019.8263.1701","title":"Calculating inter-sectoral carbon flows of a mining sector via hypothetical extraction method","year":2019,"lang":"en","type":"article","venue":"Journal of mining and environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Extraction (chemistry); Carbon fibers; Work (physics); Input–output model; Linkage (software); Raw material; Mining industry; Greenhouse gas; Secondary sector of the economy; Environmental science; Agricultural economics; Natural resource economics; Economy; Mining engineering; Geography; Economics; Geology; Mathematics; Engineering; Chemistry; Algorithm; Biology; Ecology","score_opus":0.012918657044370398,"score_gpt":0.2610668936983713,"score_spread":0.24814823665400093,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955620864","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99503285,0.000084592175,0.0034999812,0.000077757155,0.000135522,0.000115516676,0.0000011694463,0.0000045663455,0.001048074],"genre_scores_gemma":[0.9673113,0.000019230738,0.032368235,0.000029880212,0.000049434377,0.0000016952235,5.124412e-7,0.00001826806,0.0002014287],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99838686,0.00015302256,0.0005621643,0.00022523478,0.00041037824,0.00026233023],"domain_scores_gemma":[0.9990869,0.00016989403,0.0003859098,0.00018419743,0.0000032905357,0.00016980276],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009107729,0.0001793661,0.0003504401,0.00005409157,0.000048175098,0.000014534959,0.000118151336,0.00009527078,0.0012905636],"category_scores_gemma":[0.000050087874,0.00014963315,0.00012664343,0.000053906435,0.00012394431,0.00018584031,0.00014897046,0.0001938117,0.000008903185],"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":[0.00016097,0.00023766307,0.71171874,0.000040193303,0.000050772644,0.000022689475,0.0039902194,0.008031514,0.22288932,0.000001425072,0.000023744695,0.052832767],"study_design_scores_gemma":[0.0021684668,0.0024365648,0.89267296,0.00017235428,0.00019174136,0.000611167,0.008288563,0.07113562,0.019845394,0.00015633264,0.0017222661,0.0005985715],"about_ca_topic_score_codex":0.00009359255,"about_ca_topic_score_gemma":0.000009343612,"teacher_disagreement_score":0.20304394,"about_ca_system_score_codex":0.00041549923,"about_ca_system_score_gemma":0.000009113382,"threshold_uncertainty_score":0.9996224},"labels":[],"label_agreement":null},{"id":"W2955771961","doi":"","title":"A Plant Level Analysis of GHG Emissions of the Canadian Pulp and Paper Industry, 2005-2013","year":2016,"lang":"en","type":"article","venue":"Energy: Expectations and Uncertainty,39th IAEE International Conference,Jun 19-22, 2016","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Business; Environmental science; Natural resource economics; Agricultural economics; Waste management; Engineering; Economics","score_opus":0.021301439476294256,"score_gpt":0.25474325938580916,"score_spread":0.2334418199095149,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2955771961","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963268,0.00012995586,0.00045415905,0.010353377,0.00016568539,0.00021369902,0.0013871777,0.000014451702,0.0240135],"genre_scores_gemma":[0.98905367,0.00015013575,0.00013683313,0.00022218833,0.000024661857,0.00003160602,0.00005168845,0.000009302535,0.010319914],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984233,0.00009641936,0.0004083056,0.00035030447,0.00042153988,0.00030016582],"domain_scores_gemma":[0.99892646,0.00014392285,0.0002171247,0.0003097911,0.000060181756,0.00034251073],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00018561738,0.00019817043,0.00025784795,0.000232043,0.00025638612,0.000041782838,0.00035480456,0.00017153006,0.0097030215],"category_scores_gemma":[0.00015471851,0.00011801294,0.00011580703,0.000303884,0.00072745315,0.0002662029,0.00021333652,0.00013238158,0.0000059378676],"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":[0.00019102756,0.0005858712,0.7867761,0.00002279004,0.0017259307,0.00001399378,0.005550417,0.0023622897,0.026136987,0.11561694,0.031548735,0.02946886],"study_design_scores_gemma":[0.0015735234,0.00014020319,0.90549326,0.00015035647,0.00040737557,0.000017360862,0.006421762,0.007462497,0.002371479,0.011584885,0.06368326,0.00069406093],"about_ca_topic_score_codex":0.1719006,"about_ca_topic_score_gemma":0.2644768,"teacher_disagreement_score":0.11871708,"about_ca_system_score_codex":0.00039279915,"about_ca_system_score_gemma":0.0002278415,"threshold_uncertainty_score":0.99120224},"labels":[],"label_agreement":null},{"id":"W2961681166","doi":"10.1002/ente.201900425","title":"A Comparative Life‐Cycle Assessment of Two Cogeneration Plants","year":2019,"lang":"en","type":"article","venue":"Energy Technology","topic":"Environmental Impact and Sustainability","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":"Ontario Tech University","funders":"","keywords":"Cogeneration; Life-cycle assessment; Combined cycle; Natural gas; Waste management; Boiler (water heating); Power station; Coal; Environmental science; Engineering; Electricity generation; Environmental engineering; Gas turbines; Production (economics); Power (physics)","score_opus":0.007320698918223011,"score_gpt":0.27716221634115984,"score_spread":0.2698415174229368,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2961681166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9753852,0.000029092515,0.0014311036,0.00017856412,0.00005995556,0.00010458889,0.0000045592865,0.00004742691,0.022759499],"genre_scores_gemma":[0.9976395,0.000009880274,0.0015511941,0.00010493627,0.0000071515724,0.000018737303,0.000011219678,0.0000063941125,0.000651034],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918646,0.000041923227,0.00018231945,0.00023016587,0.00016028056,0.00019888034],"domain_scores_gemma":[0.99953055,0.000019479623,0.000090280846,0.00030634447,0.000003650004,0.00004970377],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009475056,0.00010549432,0.0002075557,0.000056933975,0.000042817093,0.0000044737044,0.00018137449,0.0000945938,0.0021332803],"category_scores_gemma":[0.000007602945,0.00009634978,0.000032432814,0.0001704944,0.00025632477,0.00010261047,0.00019965431,0.00008987468,0.00008481133],"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":[0.00002307409,0.00041838345,0.7907898,0.0000070334677,0.000042121814,0.0000050201347,0.00020719807,0.031412542,0.142695,0.025571017,0.00043438736,0.008394411],"study_design_scores_gemma":[0.0030629623,0.001306833,0.54512626,0.000019638599,0.000034416953,0.000026803793,0.0022681379,0.0888195,0.30456886,0.027888956,0.026072154,0.0008055058],"about_ca_topic_score_codex":0.00030155937,"about_ca_topic_score_gemma":0.00015185754,"teacher_disagreement_score":0.24566357,"about_ca_system_score_codex":0.0001749519,"about_ca_system_score_gemma":0.000015330366,"threshold_uncertainty_score":0.9987789},"labels":[],"label_agreement":null},{"id":"W2962338216","doi":"10.1016/j.watres.2019.07.015","title":"Can virtual water trade save water resources?","year":2019,"lang":"en","type":"article","venue":"Water Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":107,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"National Natural Science Foundation of China; Rutgers, The State University of New Jersey; National Science Foundation","keywords":"China; Virtual water; Natural resource economics; Value (mathematics); Business; Economics; Agricultural economics; International trade; Water resources; Water scarcity; Geography; Ecology","score_opus":0.023877086744726488,"score_gpt":0.2901500279870721,"score_spread":0.26627294124234563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2962338216","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97586596,0.0000040923096,0.0000018731233,0.0057000956,0.0000817383,0.0006086874,0.0000059067434,0.000039399034,0.01769222],"genre_scores_gemma":[0.9547727,0.0000037036643,0.000018620265,0.0002611211,0.0000613403,0.000036135414,0.000043123,0.00003858084,0.04476469],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99575883,0.00041270247,0.00025582142,0.0006236029,0.0011833854,0.0017656762],"domain_scores_gemma":[0.9988895,0.000018256971,0.000008454608,0.000745353,0.0000062919676,0.00033213533],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0019266555,0.00021764069,0.0002071772,0.00008817025,0.0003156892,0.00013166257,0.0005816461,0.00014334872,0.036541633],"category_scores_gemma":[0.000012509642,0.000105521554,0.000096749034,0.00008627214,0.00064140017,0.0002987699,0.0012721536,0.0005905104,0.022217192],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000128872,0.00019005849,0.11159955,0.000024002795,0.000015371777,0.00005650241,0.0253086,0.0002580258,0.85941863,0.000015443647,0.0014685207,0.0015164259],"study_design_scores_gemma":[0.0005572029,0.00044092294,0.0378051,0.000005587762,0.0000042405704,0.000012179486,0.0016350667,0.00010480391,0.80022365,0.0013804907,0.15752725,0.000303496],"about_ca_topic_score_codex":0.0015064008,"about_ca_topic_score_gemma":0.000114463255,"teacher_disagreement_score":0.15605874,"about_ca_system_score_codex":0.0007187868,"about_ca_system_score_gemma":0.0000043676364,"threshold_uncertainty_score":0.9785441},"labels":[],"label_agreement":null},{"id":"W2964080811","doi":"10.1016/j.jclepro.2019.117731","title":"A factorial environment-oriented input-output model for diagnosing urban air pollution","year":2019,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Research and Development; Higher Education Discipline Innovation Project; Science and Engineering Research Council; Natural Science Foundation of Beijing Municipality","keywords":"Pollutant; Environmental science; Air pollution; Sustainability; Pollution; Environmental economics; Environmental engineering; Energy consumption; Environmental protection; Environmental resource management; Engineering; Economics; Ecology","score_opus":0.011027802592713735,"score_gpt":0.23165597328083146,"score_spread":0.22062817068811771,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964080811","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9814447,0.000029870032,0.015460489,0.0010090307,0.0012539022,0.0005560655,0.0000052245105,0.000013672904,0.0002270181],"genre_scores_gemma":[0.99472266,0.000027723772,0.0017778783,0.00013050453,0.00071249064,0.000006751052,0.0000053189547,0.00002263531,0.0025940612],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99841607,0.000067083776,0.0004522019,0.00028639266,0.0004861495,0.00029213386],"domain_scores_gemma":[0.999182,0.000025539077,0.00039104596,0.0002568985,0.000016639266,0.00012790087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067153224,0.00016747767,0.00022397142,0.00006572314,0.0001208269,0.000018289527,0.00013823848,0.0000939364,0.00022141346],"category_scores_gemma":[0.00016611547,0.00014342023,0.00016840833,0.0000812372,0.000119942146,0.0009494098,0.0000737097,0.00021256844,0.00005416059],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00089343876,0.00068839296,0.16057897,0.000046636666,0.000046942245,0.0000027547349,0.0029616302,0.76199615,0.04480431,0.000041857504,0.014306867,0.013632061],"study_design_scores_gemma":[0.007325239,0.0036275855,0.50261384,0.00012156377,0.00038538876,0.00022376816,0.0030232188,0.074700415,0.07609287,0.006232068,0.3240843,0.0015697072],"about_ca_topic_score_codex":0.000017451004,"about_ca_topic_score_gemma":0.000002792182,"teacher_disagreement_score":0.68729573,"about_ca_system_score_codex":0.0009834039,"about_ca_system_score_gemma":0.000020093632,"threshold_uncertainty_score":0.5848507},"labels":[],"label_agreement":null},{"id":"W2964556333","doi":"10.1016/b978-0-12-818597-1.50057-6","title":"Maximizing Our Impact: A Call for The Standardization Of Techno-Economic Analyses For Sustainable Energy Systems Design Research","year":2019,"lang":"en","type":"book-chapter","venue":"Computer-aided chemical engineering/Computer aided chemical engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"","keywords":"Standardization; Status quo; Computer science; Process (computing); Mindset; Context (archaeology); Sustainability; Management science; Risk analysis (engineering); Systems engineering; Engineering; Business; Economics; Geography","score_opus":0.03324931592600855,"score_gpt":0.28576470885703814,"score_spread":0.2525153929310296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2964556333","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0021024616,0.0004903112,0.9940404,0.00006746348,0.0004128967,0.002260536,0.000107268155,0.00026699496,0.0002516451],"genre_scores_gemma":[0.78672385,0.00013595649,0.198655,0.000074827956,0.0032741283,0.0010045907,0.00058158365,0.0010643863,0.008485659],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99507034,0.000024738425,0.001290275,0.0012726192,0.0007803646,0.0015616937],"domain_scores_gemma":[0.9963612,0.0014660573,0.00034537868,0.0012341161,0.00016683915,0.00042640753],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011511742,0.0010935769,0.0014562058,0.0003326751,0.00013480986,0.0002267432,0.0013883585,0.00088995486,0.000037982878],"category_scores_gemma":[0.0001808212,0.0009685371,0.0008662448,0.00023184904,0.00018032428,0.00033994453,0.0012969021,0.0009195045,0.0000117640975],"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":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000919124,0.000052333387,0.0000045965908,0.0009914092,0.0003720185,0.000009316893,0.000071199574,0.94260114,0.04882776,0.002643455,0.003024606,0.0013102647],"study_design_scores_gemma":[0.0009981062,0.00029535795,0.000006082933,0.00028226848,0.000159756,0.000029678806,0.000018372142,0.92740434,0.059681635,0.0005449017,0.00961322,0.00096629304],"about_ca_topic_score_codex":0.00015633702,"about_ca_topic_score_gemma":3.3084874e-7,"teacher_disagreement_score":0.7953854,"about_ca_system_score_codex":0.0040204,"about_ca_system_score_gemma":0.00013775885,"threshold_uncertainty_score":0.999803},"labels":[],"label_agreement":null},{"id":"W2967981654","doi":"10.1109/stict.2019.8789377","title":"Environmental Assessment of Fluctuating Residential Electricity Demand","year":2019,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","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":"École de Technologie Supérieure; Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Electricity; Demand response; Peak demand; Electricity demand; Environmental economics; Smart grid; Dynamic demand; Demand patterns; Climate change; Demand management; Economics; Econometrics; Environmental science; Electricity generation; Power (physics); Engineering","score_opus":0.0037159689913985354,"score_gpt":0.2403754242602959,"score_spread":0.23665945526889737,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2967981654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9474903,0.000010174518,0.0010596078,0.000048110825,0.00004633251,0.00035030663,0.0000032464902,0.000020815285,0.050971113],"genre_scores_gemma":[0.9954832,0.000009548847,0.0021225312,0.00010737788,0.000011419824,0.000005737491,0.000005756686,0.000011616546,0.0022427852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985024,0.00008530297,0.00029737246,0.0003206017,0.00048069275,0.00031367928],"domain_scores_gemma":[0.9993801,0.00005204871,0.00010772694,0.0003352766,0.0000010512865,0.00012375537],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00042366024,0.00014372042,0.00019186111,0.000027400647,0.00007496863,0.000013718996,0.00019914829,0.00006211624,0.034334518],"category_scores_gemma":[0.000022122314,0.00012655806,0.00008962894,0.000114419316,0.00017097323,0.000282199,0.00028758336,0.00012676562,0.00033438948],"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":[0.000010345992,0.00013536666,0.808234,0.0000094077905,0.000008260441,0.0000016042806,0.000100141966,0.00096307305,0.18884145,0.00011243789,0.0001433428,0.0014405748],"study_design_scores_gemma":[0.00039942496,0.00017652623,0.9661,0.0000019959648,0.0000116826,0.0000047546123,0.0003029066,0.0029568276,0.028946554,0.000669661,0.00026734493,0.00016233021],"about_ca_topic_score_codex":0.00030824164,"about_ca_topic_score_gemma":0.000022965605,"teacher_disagreement_score":0.1598949,"about_ca_system_score_codex":0.00053263485,"about_ca_system_score_gemma":0.000013438969,"threshold_uncertainty_score":0.9665482},"labels":[],"label_agreement":null},{"id":"W2969833048","doi":"10.3390/f10090725","title":"Energy Flows and Carbon Footprint in the Forestry-Pulp and Paper Industry","year":2019,"lang":"en","type":"article","venue":"Forests","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":43,"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":"Academy of Finland; National Natural Science Foundation of China","keywords":"Environmental science; Greenhouse gas; Carbon footprint; Fossil fuel; Coal; Waste management; Renewable energy; Energy conservation; Energy consumption; Environmental engineering; Engineering; Ecology","score_opus":0.004847918719887252,"score_gpt":0.20692853258057442,"score_spread":0.20208061386068718,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2969833048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9905519,0.000056121768,0.0000011918098,0.00030583964,0.000027205448,0.00016820976,9.322385e-7,0.0000066288735,0.0088819945],"genre_scores_gemma":[0.9992977,0.000015816706,0.000026213245,0.00021347162,0.0000138292435,0.000015934063,0.0000014248668,0.0000071861423,0.00040843405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99924856,0.000048828715,0.00010444233,0.00021460844,0.00015770156,0.00022585037],"domain_scores_gemma":[0.9996337,0.000036672773,0.000021889955,0.00023781309,7.442558e-7,0.00006915827],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019056423,0.00010456992,0.000089582994,0.000013869449,0.000037104808,0.000024664538,0.00011695104,0.00012359476,0.0001706614],"category_scores_gemma":[0.000014183954,0.00007104293,0.000016168768,0.000072205905,0.00013866505,0.00007653114,0.00021003533,0.00019231197,0.0000069934554],"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":[0.000010010252,0.000028699076,0.9919702,0.0000055780206,0.0000014752083,0.000006771884,0.00045372214,0.0001457977,0.00037322007,0.00019781449,0.000014692438,0.0067920587],"study_design_scores_gemma":[0.00024200472,0.0000745926,0.9917273,0.0000047862172,0.0000028139752,0.000011986113,0.00044442533,0.00084748503,0.00011389844,0.0036329357,0.0028025603,0.00009518961],"about_ca_topic_score_codex":0.002372863,"about_ca_topic_score_gemma":0.0073528495,"teacher_disagreement_score":0.008745814,"about_ca_system_score_codex":0.000080670485,"about_ca_system_score_gemma":0.0000039387705,"threshold_uncertainty_score":0.41030625},"labels":[],"label_agreement":null},{"id":"W2970200359","doi":"10.1007/s11367-019-01674-y","title":"Extending sensitivity analysis using regression to effectively disseminate life cycle assessment results","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Cenovus Energy; Alberta Innovates; Natural Resources Canada; University of Alberta; Environment and Climate Change Canada; Suncor Energy Incorporated","keywords":"Sobol sequence; Sensitivity (control systems); Computer science; Greenhouse gas; Variance (accounting); Regression; Regression analysis; Key (lock); Life-cycle assessment; Data mining; Econometrics; Statistics; Machine learning; Engineering; Mathematics; Production (economics)","score_opus":0.011816938605402814,"score_gpt":0.3414300165027963,"score_spread":0.32961307789739347,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970200359","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98638654,0.000015129378,0.007615915,0.0027175257,0.00052724296,0.00033329707,0.000025011876,0.000012897827,0.0023664467],"genre_scores_gemma":[0.9953874,0.000019188961,0.003671415,0.0005867836,0.00015671056,0.0000042753927,0.0000073865745,0.000018987543,0.00014787649],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963075,0.000511015,0.0007653264,0.00036645355,0.0017016107,0.0003481001],"domain_scores_gemma":[0.9978558,0.0005124399,0.00075967336,0.00040590245,0.000080112404,0.00038606251],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0035225272,0.00025032842,0.00043898693,0.00019445588,0.00018400604,0.00016574538,0.0006371367,0.00006352533,0.0006052748],"category_scores_gemma":[0.00033676607,0.00016873244,0.00034498348,0.00041956964,0.000116076015,0.0006251218,0.0007050199,0.00040392225,0.000045300814],"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":[0.00044414925,0.00043759405,0.50386405,0.000007015685,0.0007293613,0.000079854246,0.000529862,0.46272582,0.026244385,0.00006110336,0.00021926897,0.0046575624],"study_design_scores_gemma":[0.0007778161,0.0001838585,0.91746587,0.0000642397,0.00018213312,0.000031175292,0.0010267296,0.07890545,0.0007506548,0.00022582387,0.00018714103,0.00019912294],"about_ca_topic_score_codex":0.0004081524,"about_ca_topic_score_gemma":0.00004218219,"teacher_disagreement_score":0.41360182,"about_ca_system_score_codex":0.0023309926,"about_ca_system_score_gemma":0.00011078679,"threshold_uncertainty_score":0.68807095},"labels":[],"label_agreement":null},{"id":"W2970404250","doi":"10.1007/s11367-019-01680-0","title":"Marginal and non-marginal approaches in characterization: how context and scale affect the selection of an adequate characterization model. The AWARE model example","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université de Sherbrooke","funders":"","keywords":"Ceteris paribus; Normalization (sociology); Econometrics; Context (archaeology); Marginal utility; Water scarcity; Scarcity; Statistics; Marginal value; Scale (ratio); Mathematics; Economics; Water resources; Geography; Microeconomics; Ecology","score_opus":0.02100859482543545,"score_gpt":0.25938167033637133,"score_spread":0.23837307551093587,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2970404250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9802648,0.000008675466,0.015052708,0.004163476,0.0000739285,0.00033396136,0.000010914793,0.0000026984935,0.000088838045],"genre_scores_gemma":[0.99927753,0.000045216093,0.00022208318,0.00025617002,0.00005470339,0.00001317097,0.0000135426735,0.000009789202,0.000107809974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987424,0.00015746211,0.00028502336,0.00015396449,0.0005245841,0.00013655503],"domain_scores_gemma":[0.9993232,0.00007544066,0.00036389896,0.00014502954,0.000029884564,0.000062560466],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009842672,0.00012294625,0.00016066586,0.000039367813,0.00009950416,0.00010953534,0.00034783306,0.000037844562,0.000069806476],"category_scores_gemma":[0.000013402858,0.00006835436,0.00004287987,0.00007938325,0.00018636444,0.00077020127,0.00016388803,0.00021234226,9.3294045e-7],"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":[0.00045291788,0.0003768022,0.82459146,0.000022237644,0.00009186483,0.000002475694,0.0045973584,0.08857423,0.057152923,0.0003240995,0.000011231162,0.023802377],"study_design_scores_gemma":[0.0003178101,0.000083511346,0.5377234,0.0000115144885,0.000010711501,0.000018367982,0.0009235032,0.4604096,0.00028025464,0.00016371468,0.000010946276,0.00004663571],"about_ca_topic_score_codex":0.00009289311,"about_ca_topic_score_gemma":0.00004753543,"teacher_disagreement_score":0.37183538,"about_ca_system_score_codex":0.00021876991,"about_ca_system_score_gemma":0.000050065406,"threshold_uncertainty_score":0.27874097},"labels":[],"label_agreement":null},{"id":"W2971316486","doi":"10.1016/j.scitotenv.2019.134178","title":"Revealing dynamic impacts of socioeconomic factors on air pollution changes in Guangdong Province, China","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"China; Air pollution; Pollution; Emission intensity; Natural resource economics; Pollutant; Supply and demand; Socioeconomic development; Sustainability; Driving factors; Environmental science; Environmental economics; Business; Economic geography; Environmental engineering; Economics; Economic growth; Geography; Engineering; Ecology","score_opus":0.004449579605174588,"score_gpt":0.21183925455293184,"score_spread":0.20738967494775726,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971316486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966764,0.000018539564,0.0000018977631,0.0012922051,0.00011461312,0.0007544254,0.000012962604,0.0000063316747,0.0011226366],"genre_scores_gemma":[0.9990934,0.000020636713,0.000034755816,0.00004274187,0.0000052309106,0.0000062041804,9.059396e-7,0.000010946068,0.0007851588],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982028,0.0000995326,0.00029334635,0.00036370786,0.0005992424,0.0004413642],"domain_scores_gemma":[0.9988416,0.000038949565,0.00028152217,0.0007605931,0.0000011628262,0.000076190816],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011257569,0.00018952094,0.00021882023,0.00005856401,0.00017096955,0.000009950729,0.0007865206,0.000051483497,0.0006243702],"category_scores_gemma":[0.000037516173,0.00011016502,0.00010406521,0.00019323463,0.001923322,0.00027704428,0.00069419015,0.00018854691,0.00009503611],"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":[0.00006900527,0.0003419136,0.109824136,0.00003590564,0.000010717107,4.8806714e-7,0.0030441943,0.46102464,0.42431217,0.00012592273,0.000015681515,0.0011952143],"study_design_scores_gemma":[0.0001998972,0.00019893833,0.9279301,0.000023586015,0.0000078426565,0.0000015599978,0.00071318506,0.0021853438,0.06826259,0.00034508124,0.000008109023,0.0001237417],"about_ca_topic_score_codex":0.0007694071,"about_ca_topic_score_gemma":0.00004869349,"teacher_disagreement_score":0.818106,"about_ca_system_score_codex":0.0016883061,"about_ca_system_score_gemma":0.0000335611,"threshold_uncertainty_score":0.708656},"labels":[],"label_agreement":null},{"id":"W2971545660","doi":"10.1088/1755-1315/323/1/012142","title":"Linking construction timber carbon storage with land use and forestry management practices","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":"Government of British Columbia","funders":"","keywords":"Greenhouse gas; Sustainability; Land use, land-use change and forestry; Thinning; Forestry; Carbon sequestration; Land use; Forest management; Agriculture; Wood production; Business; Environmental science; Forest product; Agroforestry; Natural resource economics; Economics; Geography; Engineering; Ecology","score_opus":0.009087128504220788,"score_gpt":0.2043037595720177,"score_spread":0.19521663106779694,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971545660","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9921934,0.000029722954,0.000018419449,0.00008563502,0.000058553353,0.0004146976,0.000008048605,0.000025058645,0.007166488],"genre_scores_gemma":[0.99569356,0.00026730628,0.0026408173,0.0000767219,0.000009584659,0.000010593944,0.0000076218275,0.000010653489,0.0012831509],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982079,0.00003867543,0.00015714199,0.0006430333,0.00050248165,0.00045071697],"domain_scores_gemma":[0.99924415,0.00002785513,0.00016465224,0.00030744393,0.0000028866477,0.00025300754],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002698151,0.00022778369,0.00016307083,0.000042529875,0.00031289927,0.00028059716,0.00016469363,0.000059449347,0.000563419],"category_scores_gemma":[0.00001311932,0.00018438227,0.000016088796,0.00015302167,0.0026596864,0.0022487598,0.00046077583,0.0001648805,0.000031814543],"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":[0.000088408444,0.000039292685,0.981731,0.000025345233,0.0000070761316,0.00001791558,0.00042074136,0.00031559193,0.011371266,0.00014006757,9.67512e-7,0.0058423546],"study_design_scores_gemma":[0.00041850444,0.00030803247,0.98935527,0.000025798248,0.000020441223,0.00013351826,0.0026505939,0.0013458953,0.003986368,0.0001287647,0.0013262269,0.00030058526],"about_ca_topic_score_codex":0.0003527582,"about_ca_topic_score_gemma":0.00015970701,"teacher_disagreement_score":0.007624299,"about_ca_system_score_codex":0.000113499,"about_ca_system_score_gemma":0.000014487727,"threshold_uncertainty_score":0.9799725},"labels":[],"label_agreement":null},{"id":"W2971582781","doi":"10.1088/1755-1315/323/1/012016","title":"Massive timber building vs. conventional masonry building. A comparative life cycle assessment of an Italian case study","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"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":"","keywords":"Life-cycle assessment; Masonry; Sustainability; Building material; Greenhouse gas; Environmental science; Environmental impact assessment; Raw material; Civil engineering; Work (physics); Architectural engineering; Engineering; Production (economics)","score_opus":0.016467630938403297,"score_gpt":0.2865899010402541,"score_spread":0.2701222701018508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971582781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99608517,0.000013876036,0.000075483214,0.00006651181,0.00010470099,0.00090935756,0.000052845266,0.000024390967,0.0026676534],"genre_scores_gemma":[0.995672,0.000010847693,0.0037793557,0.00008244114,0.000013961149,0.000029043484,0.000010937084,0.000013127646,0.00038831754],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970087,0.00015317844,0.0004250514,0.0008920202,0.00091084646,0.00061020063],"domain_scores_gemma":[0.9986345,0.000044580207,0.0002198961,0.0004988302,0.000009499991,0.0005927027],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006838702,0.0003381627,0.00041913593,0.000074084535,0.0004848537,0.00014847753,0.0004149733,0.00007085409,0.0048278626],"category_scores_gemma":[0.00001926134,0.00031129463,0.00006778467,0.0002714485,0.0029273347,0.0021577755,0.0007379908,0.0002283549,0.00005305644],"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":[0.00019430404,0.0018643291,0.7760988,0.00004104426,0.000050699593,0.00034366164,0.00743816,0.0131385075,0.19710803,0.0008591516,0.000009401581,0.0028539286],"study_design_scores_gemma":[0.0010710701,0.001963761,0.9130326,0.000016746219,0.000031643573,0.00032491607,0.050299127,0.01948317,0.012847523,0.0001949439,0.00021894979,0.0005155515],"about_ca_topic_score_codex":0.00093315716,"about_ca_topic_score_gemma":0.0002154316,"teacher_disagreement_score":0.1842605,"about_ca_system_score_codex":0.0002497764,"about_ca_system_score_gemma":0.00007968027,"threshold_uncertainty_score":0.9999339},"labels":[],"label_agreement":null},{"id":"W2971607637","doi":"10.1088/1755-1315/323/1/012055","title":"Consequential life cycle assessment of Brazilian cement industry technology projections for 2050","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Cement; Clinker (cement); Kiln; Production (economics); Computable general equilibrium; Life-cycle assessment; Raw material; Environmental economics; Waste management; Work (physics); Environmental science; Natural resource economics; Computer science; Economics; Engineering; Portland cement; Materials science; Chemistry; Mechanical engineering; Microeconomics","score_opus":0.010570961386482731,"score_gpt":0.2581484597849964,"score_spread":0.24757749839851367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971607637","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99232537,0.000020150232,0.000118743796,0.00048170792,0.00013614718,0.0009728297,0.00007494042,0.000029724206,0.005840404],"genre_scores_gemma":[0.9961837,0.000052524054,0.002338977,0.0001175927,0.000012238812,0.00006672264,0.000017979337,0.000011154766,0.00119909],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99792886,0.000032719443,0.00033340577,0.00063601206,0.00048369463,0.0005853366],"domain_scores_gemma":[0.99910283,0.000024581961,0.00015118689,0.00041068997,0.00000767327,0.00030302018],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040939756,0.00023064198,0.00026052003,0.000098900244,0.00038407012,0.0000640437,0.000366773,0.00017389648,0.0038023086],"category_scores_gemma":[0.000043319833,0.00021453021,0.000056795125,0.00032997958,0.0039681005,0.00083172746,0.00053392653,0.00026161282,0.00003953534],"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":[0.00008321698,0.00036888252,0.44187248,0.000051245734,0.000019666906,0.0000023844543,0.00046427682,0.0010605808,0.5409904,0.0022624542,0.000037804813,0.012786598],"study_design_scores_gemma":[0.0010656096,0.0013362322,0.90328085,0.000023285222,0.000028170207,0.00003196806,0.0070472886,0.0034463538,0.07533525,0.0011559556,0.006738493,0.0005105614],"about_ca_topic_score_codex":0.00019318954,"about_ca_topic_score_gemma":0.000074020994,"teacher_disagreement_score":0.46565518,"about_ca_system_score_codex":0.00021267118,"about_ca_system_score_gemma":0.00010957521,"threshold_uncertainty_score":0.9987425},"labels":[],"label_agreement":null},{"id":"W2971631894","doi":"10.1088/1755-1315/323/1/012056","title":"Enhancing consistency in consequential life cycle inventory through material flow analysis","year":2019,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Université Laval; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Supply chain; Material flow; Material flow analysis; Greenhouse gas; Computer science; Consistency (knowledge bases); Extrapolation; Environmental science; Environmental economics; Operations research; Business; Economics; Engineering; Mathematics","score_opus":0.008512209160577603,"score_gpt":0.21344831742503012,"score_spread":0.20493610826445252,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971631894","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920035,0.000042788874,0.000053944437,0.0001203392,0.00019053089,0.00039531797,0.000042530344,0.000028880278,0.0071221385],"genre_scores_gemma":[0.99799794,0.00012230164,0.0008976242,0.00028847583,0.000017295293,0.000016687012,0.000028268789,0.000011572299,0.00061984267],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971461,0.00009903668,0.00043764894,0.0008657601,0.00067194353,0.0007794892],"domain_scores_gemma":[0.9990043,0.000024007706,0.000119607,0.0004717088,0.0000034607767,0.000376891],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005532046,0.00030281694,0.000394536,0.00010650874,0.00032334126,0.00017043126,0.00038081247,0.000101363,0.015267963],"category_scores_gemma":[0.00004874464,0.00029008155,0.000091542366,0.0006022931,0.0034865362,0.00186422,0.00063551206,0.00019110105,0.00032057206],"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":[0.00014986852,0.00018361847,0.6095937,0.000024989173,0.000033842174,0.000026115105,0.0027878212,0.0024406933,0.38180673,0.0002649836,0.0000068239297,0.002680836],"study_design_scores_gemma":[0.00058984756,0.00024601448,0.8968253,0.00001421597,0.000056149638,0.000019247218,0.0046390397,0.0032112019,0.09268925,0.0005460506,0.0006193723,0.0005442789],"about_ca_topic_score_codex":0.0012515773,"about_ca_topic_score_gemma":0.0011959351,"teacher_disagreement_score":0.2891175,"about_ca_system_score_codex":0.0002796819,"about_ca_system_score_gemma":0.00007789354,"threshold_uncertainty_score":0.9999551},"labels":[],"label_agreement":null},{"id":"W2971723808","doi":"10.1007/s12053-019-09821-y","title":"The potential for short-term energy efficiency improvement in Canadian industries","year":2019,"lang":"en","type":"article","venue":"Energy Efficiency","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Inefficiency; Energy intensity; Efficient energy use; Energy accounting; Energy consumption; Natural resource economics; Economics; Greenhouse gas; Carbon tax; Fossil fuel; Energy conservation; Microeconomics; Engineering","score_opus":0.004274346019609081,"score_gpt":0.20713778381490738,"score_spread":0.2028634377952983,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971723808","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869048,0.00012320872,0.0009801837,0.0003749821,0.00044111922,0.00036875746,0.000013023699,0.000023902354,0.010770001],"genre_scores_gemma":[0.9941536,0.000037057853,0.000025893827,0.00026952676,0.00004527111,0.00010228978,0.000017852199,0.000022759143,0.0053257262],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974673,0.000059939266,0.000370169,0.00052598945,0.0003977493,0.0011788723],"domain_scores_gemma":[0.9990065,0.00008072856,0.00006045283,0.00052148127,0.000009179506,0.0003216533],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005620869,0.00025190928,0.00018662198,0.000080147736,0.00046238606,0.000088182256,0.0006021314,0.00014804993,0.00059921923],"category_scores_gemma":[0.00006094775,0.00018999021,0.000099407465,0.0004011146,0.0003512696,0.00019039579,0.00021388638,0.00014186287,0.000037457223],"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":[0.00020054083,0.0011917292,0.5333936,0.00002922291,0.000036021214,0.000055020668,0.0011792077,0.090714715,0.031375647,0.01761837,0.0024596497,0.3217463],"study_design_scores_gemma":[0.0028102424,0.0026066971,0.5713307,0.00003923819,0.000050142415,0.00002399472,0.003519696,0.08205867,0.034157407,0.0034528023,0.29770714,0.0022432257],"about_ca_topic_score_codex":0.1692439,"about_ca_topic_score_gemma":0.17950651,"teacher_disagreement_score":0.31950307,"about_ca_system_score_codex":0.0013314978,"about_ca_system_score_gemma":0.00015779538,"threshold_uncertainty_score":0.83628815},"labels":[],"label_agreement":null},{"id":"W2971988242","doi":"10.1016/j.jclepro.2019.118251","title":"Accounting for fluctuating demand in the life cycle assessments of residential electricity consumption and demand-side management strategies","year":2019,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":35,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal; Polytechnique Montréal","funders":"Canada Research Chairs","keywords":"Electricity; Life-cycle assessment; Consumption (sociology); Environmental economics; Economics; Production (economics); Demand side; Derived demand; Econometrics; Demand curve; Microeconomics; Engineering","score_opus":0.011216396274889651,"score_gpt":0.28655328263694324,"score_spread":0.2753368863620536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2971988242","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99787825,0.000051576924,0.0009892656,0.00016692874,0.00010319836,0.00044884285,3.518912e-7,0.0000023334742,0.00035924133],"genre_scores_gemma":[0.99884015,0.00008223307,0.0009094283,0.000032517666,0.00006757255,0.0000038470243,7.4687085e-7,0.000005344761,0.000058133395],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998905,0.00011237751,0.00037942926,0.00014059851,0.00031778848,0.0001448013],"domain_scores_gemma":[0.99943817,0.00005385694,0.00035954185,0.0001087788,0.000013985947,0.00002564211],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019786668,0.00007733618,0.00013927797,0.000057607187,0.00007324172,0.000047480175,0.00010183384,0.000032003467,0.000057012214],"category_scores_gemma":[0.00008976072,0.000056339395,0.00004091798,0.000087434724,0.00007179349,0.000798952,0.000044704873,0.00012498192,0.0000024368883],"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":[0.00044524393,0.0002497339,0.8804104,0.0003482611,0.00005615678,0.000003772045,0.0016515828,0.058218762,0.03896842,0.000101117046,0.00023602344,0.019310527],"study_design_scores_gemma":[0.0005486256,0.00019613969,0.9883115,0.00002956917,0.000050361326,0.000025909472,0.0037905092,0.0012125206,0.0032454738,0.0024155732,0.00010422189,0.00006957826],"about_ca_topic_score_codex":0.00004382692,"about_ca_topic_score_gemma":0.000028026827,"teacher_disagreement_score":0.10790112,"about_ca_system_score_codex":0.00011184601,"about_ca_system_score_gemma":0.0000105502595,"threshold_uncertainty_score":0.22974537},"labels":[],"label_agreement":null},{"id":"W2972719956","doi":"","title":"Sufficient or insufficient: Assessment on the Intended Nationally Determined Contributions (INDCs) of world¡¯s major emitters","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Convention; Conference of the parties; China; Political science; United Nations Framework Convention on Climate Change; Greenhouse gas; Law; Kyoto Protocol","score_opus":0.02296242444575203,"score_gpt":0.32858410633910695,"score_spread":0.3056216818933549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2972719956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92661375,0.000008416784,0.000014238413,0.0014450802,0.00024324443,0.0019145422,0.00021740778,0.00001618594,0.06952711],"genre_scores_gemma":[0.9939706,0.00017509711,0.00017974866,0.00028216222,0.00003162119,0.00028132717,0.00007232645,0.00003387155,0.0049732663],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961678,0.0005436666,0.00082238286,0.00087809796,0.00077973236,0.000808333],"domain_scores_gemma":[0.99676675,0.0013650383,0.00032808288,0.0013051108,0.00004909721,0.00018590162],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033250954,0.00034865696,0.00049119676,0.00031651132,0.00023755305,0.0000959717,0.0011303484,0.00023735952,0.0017797248],"category_scores_gemma":[0.00089793414,0.00025639377,0.00023242527,0.00030713656,0.0011513627,0.00009609595,0.0022785482,0.0015693419,0.00005887083],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00176956,0.007673376,0.49948367,0.00045223968,0.00041292803,0.00009342025,0.0039094295,0.42055994,0.0037710804,0.0075186975,0.0012136187,0.053142026],"study_design_scores_gemma":[0.0020542187,0.0008394911,0.9206821,0.00032476056,0.000036030542,0.000008493819,0.004464801,0.0539733,0.0021100997,0.0017774598,0.012775351,0.00095390895],"about_ca_topic_score_codex":0.00019187597,"about_ca_topic_score_gemma":0.0007612101,"teacher_disagreement_score":0.4211984,"about_ca_system_score_codex":0.006684846,"about_ca_system_score_gemma":0.00044132612,"threshold_uncertainty_score":0.99998885},"labels":[],"label_agreement":null},{"id":"W2975976979","doi":"10.1111/jiec.12945","title":"Lifting the veil on the correction of double counting incidents in hybrid life cycle assessment","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"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":"Notation; Computer science; Life-cycle assessment; Product (mathematics); Representation (politics); Industrial ecology; Data mining; Risk analysis (engineering); Mathematics; Arithmetic; Sustainability; Production (economics); Business","score_opus":0.018993813350666827,"score_gpt":0.2684027742197745,"score_spread":0.24940896086910766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2975976979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938795,0.0000035557077,0.0000039130136,0.0012968669,0.001175629,0.0003014168,6.5719763e-7,0.0000018871242,0.0033365688],"genre_scores_gemma":[0.99941164,0.0000057518414,0.000008915116,0.00034731597,0.00011792263,0.000003126726,3.4966186e-7,0.0000061024252,0.00009889918],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985534,0.00026525193,0.0005306323,0.00010305531,0.0003363804,0.00021128278],"domain_scores_gemma":[0.9986522,0.0005135975,0.0006138592,0.00015671016,0.000012359314,0.000051282255],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002570202,0.000089027555,0.00021688086,0.000041476862,0.000093196926,0.000019888419,0.00028734474,0.000088556386,0.0014326649],"category_scores_gemma":[0.00050257007,0.000051531024,0.000076037126,0.00015163247,0.00013835901,0.00018737279,0.00014738762,0.0006740608,0.000034288314],"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":[0.00023069099,0.00018129825,0.9583277,0.0000015540325,0.000015497762,0.0000060556135,0.00037545047,0.03701599,0.00062436046,0.000014243499,0.00095235347,0.0022547946],"study_design_scores_gemma":[0.0022265855,0.0008001642,0.9872581,0.000029218118,0.000017131855,0.000026666235,0.004077384,0.0032261754,0.001142864,0.00016858258,0.0009404896,0.00008663433],"about_ca_topic_score_codex":0.00038237186,"about_ca_topic_score_gemma":0.00011051067,"teacher_disagreement_score":0.033789814,"about_ca_system_score_codex":0.0007630706,"about_ca_system_score_gemma":0.000092818475,"threshold_uncertainty_score":0.9994802},"labels":[],"label_agreement":null},{"id":"W2977190789","doi":"10.1016/j.rser.2019.109408","title":"Quantifying the global warming potential of carbon dioxide emissions from bioenergy with carbon capture and storage","year":2019,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":117,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"St. Francis Xavier University","funders":"","keywords":"Bio-energy with carbon capture and storage; Bioenergy; Environmental science; Fossil fuel; Climate change mitigation; Greenhouse gas; Carbon capture and storage (timeline); Carbon sequestration; Climate change; Biofuel; Carbon dioxide; Waste management; Engineering; Ecology","score_opus":0.008580358801257685,"score_gpt":0.2239513510157504,"score_spread":0.2153709922144927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2977190789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758766,0.016499473,0.00015320037,0.00015047088,0.000038940598,0.00033331368,0.000004515245,0.000015738175,0.0069277463],"genre_scores_gemma":[0.9898126,0.004777283,0.00016454577,0.000119220225,0.000026583495,0.000024363611,0.000009721658,0.000018337687,0.0050473055],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981212,0.0002109124,0.00035022295,0.00048800898,0.00027281154,0.0005568597],"domain_scores_gemma":[0.9990407,0.000046155936,0.00019431995,0.0005158229,0.000013001828,0.00018999832],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048532273,0.00029066068,0.00050055276,0.000024730969,0.00020383984,0.000040947092,0.00020455493,0.00011700195,0.00011042831],"category_scores_gemma":[0.000045114935,0.00017545458,0.00007367787,0.00031815568,0.0002926678,0.0001924783,0.00043372146,0.00011328251,7.0432225e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032168714,0.0002723005,0.90249443,0.000798791,0.00013852956,0.00020069894,0.0015990674,0.043216325,0.033708323,0.0013408674,0.00023473141,0.015674224],"study_design_scores_gemma":[0.0059326934,0.0017609311,0.19328131,0.0012349499,0.0012686893,0.00031539344,0.08254159,0.035444424,0.022599911,0.009976885,0.6415014,0.004141796],"about_ca_topic_score_codex":0.119462475,"about_ca_topic_score_gemma":0.0020955163,"teacher_disagreement_score":0.70921314,"about_ca_system_score_codex":0.0003001249,"about_ca_system_score_gemma":0.00003946717,"threshold_uncertainty_score":0.8864011},"labels":[],"label_agreement":null},{"id":"W2978038580","doi":"10.1016/j.resconrec.2019.104485","title":"Development of disaggregated energy use and greenhouse gas emission footprints in Canada’s iron, gold, and potash mining sectors","year":2019,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Cenovus Energy; Alberta Innovates; Environment and Climate Change Canada; Suncor Energy Incorporated","keywords":"Greenhouse gas; Potash; Environmental science; Gold mining; Resource (disambiguation); Carbon footprint; Environmental engineering; Waste management; Natural resource economics; Engineering; Fertilizer; Metallurgy; Chemistry; Materials science; Geology","score_opus":0.011088843442418344,"score_gpt":0.19759950949511934,"score_spread":0.186510666052701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2978038580","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995318,0.00006576346,0.0000053546814,0.00011493196,0.000016025424,0.00010640602,0.0000011827922,0.0000066100574,0.00015191601],"genre_scores_gemma":[0.99865454,0.00009939581,0.0007899487,0.000109407265,0.0000025446013,0.0000019811366,0.000003145904,0.000008225136,0.00033083666],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99914515,0.000053643642,0.0002630158,0.00022732453,0.00015188598,0.00015900569],"domain_scores_gemma":[0.99958414,0.00011324796,0.00010041741,0.000093691066,0.0000035206463,0.00010499182],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001856648,0.00010694808,0.00014432814,0.000033282504,0.000064273576,0.000021981608,0.00004247037,0.000048545968,0.000040028088],"category_scores_gemma":[0.000059500966,0.00009406796,0.0000083957675,0.00008340489,0.00008889372,0.00014120336,0.00014346269,0.000057827343,3.0470045e-7],"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":[0.000030126499,0.000014556931,0.9687767,0.000030607236,0.0000032959847,0.0000017114214,0.0020414803,0.000071780516,0.009026607,0.000001906363,0.000011294545,0.019989936],"study_design_scores_gemma":[0.00039607467,0.000016999591,0.9891698,0.00006477514,0.0000032475723,0.0000033448664,0.00226679,0.0025534253,0.0019747773,0.000013296415,0.003414653,0.00012285229],"about_ca_topic_score_codex":0.3069177,"about_ca_topic_score_gemma":0.44113186,"teacher_disagreement_score":0.13421415,"about_ca_system_score_codex":0.00022130797,"about_ca_system_score_gemma":0.00003786953,"threshold_uncertainty_score":0.6976976},"labels":[],"label_agreement":null},{"id":"W2979383589","doi":"10.1016/j.jclepro.2019.118718","title":"Assessment of greenhouse gas mitigation options for the iron, gold, and potash mining sectors","year":2019,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":43,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Canada First Research Excellence Fund; Cenovus Energy; Alberta Innovates; Environment and Climate Change Canada; Suncor Energy Incorporated","keywords":"Greenhouse gas; Tonne; Environmental science; Natural resource economics; Truck; Potash; Waste management; Environmental engineering; Engineering","score_opus":0.008348095321842833,"score_gpt":0.2573407795134288,"score_spread":0.248992684191586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2979383589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99776506,0.000050266757,0.0003248759,0.0010792726,0.00025320306,0.00031855385,0.0000016133963,0.0000033999906,0.00020374026],"genre_scores_gemma":[0.9969338,0.000084629864,0.0022151633,0.000025624759,0.000115651994,0.0000032488567,0.0000011196603,0.000008354016,0.0006124076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921244,0.000052190662,0.00027369187,0.00011758588,0.00023801166,0.00010605132],"domain_scores_gemma":[0.9994331,0.000058449146,0.00029507434,0.00014969293,0.000021111886,0.000042550866],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008010661,0.0000705514,0.00011382007,0.000029632756,0.00006809374,0.000015385267,0.00007854103,0.000030601856,0.000119122575],"category_scores_gemma":[0.00007476778,0.00004763334,0.00006152943,0.00006752763,0.00013417666,0.00038500983,0.000037156075,0.000096642456,0.0000018314105],"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":[0.00008003023,0.00022417247,0.8369062,0.00007337857,0.000036627356,6.2952444e-7,0.0012198921,0.048953027,0.083569035,0.00006183278,0.0016503044,0.027224874],"study_design_scores_gemma":[0.00035880596,0.00045146563,0.98846555,0.00001606642,0.000057450085,0.000050578652,0.0022256668,0.0013844683,0.0040493305,0.00031350635,0.0025534409,0.000073687654],"about_ca_topic_score_codex":0.000026823021,"about_ca_topic_score_gemma":0.000017733877,"teacher_disagreement_score":0.15155934,"about_ca_system_score_codex":0.0001796432,"about_ca_system_score_gemma":0.000011347812,"threshold_uncertainty_score":0.19424313},"labels":[],"label_agreement":null},{"id":"W2980029776","doi":"10.5281/zenodo.3554673","title":"Editorial Acknowledgments and Introduction to the Special Issue for the EDM Journal Track","year":2019,"lang":"en","type":"article","venue":"Educational Data Mining","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Track (disk drive); Library science; Editorial board; Publication; Computer science; Operations research; Engineering; Political science; Law","score_opus":0.015914953209477323,"score_gpt":0.2988800628710742,"score_spread":0.2829651096615969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2980029776","genre_codex":"empirical","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.70839274,0.00009077488,0.00022175201,0.09641159,0.19109614,0.0012547863,0.00013683102,0.0000072920366,0.0023880939],"genre_scores_gemma":[0.08301938,0.000026203883,0.0030129834,0.00063291355,0.90146595,0.000042005227,0.00018485755,0.000016194139,0.011599486],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99919534,0.000034729714,0.00012772417,0.00023135335,0.0002528832,0.00015798054],"domain_scores_gemma":[0.9992605,0.0002196237,0.00004870819,0.00039086764,0.000010549159,0.00006974776],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008378778,0.00007229357,0.000055485776,0.000010663456,0.00036631292,0.00011511112,0.0004511127,0.000025862595,0.00651532],"category_scores_gemma":[0.00047576404,0.000043902448,0.000016553407,0.00006953789,0.000086481465,0.00046738645,0.00030658292,0.00011003923,0.0004833515],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028164344,0.00004114843,0.015372473,0.0000021447145,0.000007069873,1.5477436e-8,0.0012081198,0.00009183606,0.00010655572,0.00001635045,0.9653976,0.017728528],"study_design_scores_gemma":[0.00012796395,0.000040916635,0.100913934,0.0000019420277,0.000011470575,0.0000054838542,0.0020234035,0.0001231019,0.000017662009,0.000177702,0.8965007,0.000055706336],"about_ca_topic_score_codex":0.000018703231,"about_ca_topic_score_gemma":0.000026111988,"teacher_disagreement_score":0.7103698,"about_ca_system_score_codex":0.00016800198,"about_ca_system_score_gemma":0.000037050806,"threshold_uncertainty_score":0.9943929},"labels":[],"label_agreement":null},{"id":"W2981000588","doi":"10.1111/jiec.12954","title":"Life cycle assessment of emerging technologies: Evaluation techniques at different stages of market and technical maturity","year":2019,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":210,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto; University of Calgary","funders":"University of Calgary; Engineering and Physical Sciences Research Council; U.S. Department of Energy","keywords":"Emerging technologies; Maturity (psychological); Context (archaeology); Life-cycle assessment; Computer science; Emerging markets; Technology readiness level; Set (abstract data type); Industrial ecology; Data science; Risk analysis (engineering); Process management; Management science; Business; Systems engineering; Engineering; Production (economics); Sustainability; Economics","score_opus":0.017930060891691323,"score_gpt":0.30738835137028725,"score_spread":0.28945829047859595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2981000588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698883,0.0000368994,0.000019060113,0.0007690416,0.00012469187,0.0004837972,0.0000062384174,0.000011730459,0.0015596878],"genre_scores_gemma":[0.9990686,0.0000988688,0.0007333886,0.000022125281,0.000020473457,0.0000065481063,9.940986e-7,0.000006491625,0.00004251269],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983043,0.00024581567,0.0006702112,0.00015485294,0.00043623778,0.00018854997],"domain_scores_gemma":[0.99872816,0.00020168691,0.0007550113,0.00020374627,0.000028052831,0.00008332994],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017024365,0.00012338601,0.00044231128,0.00009893769,0.000038685062,0.0000056826375,0.0002173394,0.0003168452,0.0024904653],"category_scores_gemma":[0.0008406982,0.00009411074,0.00008769289,0.00011298968,0.00036926797,0.00016693048,0.00044249446,0.0003907634,0.000001046047],"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":[0.0001554312,0.00026296423,0.95992476,0.000018254143,0.000027262222,0.0000020998727,0.000036565354,0.00016494174,0.028340153,0.000018981267,0.0008999174,0.01014868],"study_design_scores_gemma":[0.0011707812,0.0014550658,0.9773173,0.00003344765,0.00006643248,0.000029665736,0.00066821376,0.00038682038,0.017482866,0.0009908964,0.00028687378,0.00011163536],"about_ca_topic_score_codex":0.000023195073,"about_ca_topic_score_gemma":0.000024938809,"teacher_disagreement_score":0.017392553,"about_ca_system_score_codex":0.00083501264,"about_ca_system_score_gemma":0.000062817424,"threshold_uncertainty_score":0.9984214},"labels":[],"label_agreement":null},{"id":"W2982656730","doi":"10.3390/en12214152","title":"A Research on Driving Factors of Carbon Emissions of Road Transportation Industry in Six Asia-Pacific Countries Based on the LMDI Decomposition Method","year":2019,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Office for Philosophy and Social Sciences","keywords":"Divisia index; Greenhouse gas; Transportation industry; China; Driving factors; Asia pacific; Agricultural economics; Business; Natural resource economics; Environmental science; Environmental engineering; Energy intensity; Economy; Transport engineering; Engineering; Geography; Energy consumption; Economics; International trade","score_opus":0.0196942820528509,"score_gpt":0.33080764864960666,"score_spread":0.31111336659675576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982656730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99352145,0.0000055597675,0.000008462403,0.00032765776,0.000027125716,0.0002235934,0.000008971358,0.0000073199476,0.005869855],"genre_scores_gemma":[0.99962234,0.0000045809434,0.000118365475,0.000014378858,0.0000038126298,0.00001224135,0.000009819008,0.000008384288,0.00020604809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985513,0.0003266653,0.00021929108,0.00019242385,0.0005126619,0.00019764375],"domain_scores_gemma":[0.9990622,0.00053559046,0.000075919714,0.0002775774,0.0000078399535,0.00004087585],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008530796,0.0001026178,0.00014879103,0.00009331804,0.00006619082,0.000009093905,0.00014959839,0.00016503668,0.00054263865],"category_scores_gemma":[0.000060128285,0.00007065137,0.000046689664,0.00029403853,0.00021754426,0.00009457965,0.000020867452,0.00040852974,0.0000037184043],"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":[0.00006220482,0.00014451896,0.7977224,0.000017720888,0.0000032379387,9.069699e-7,0.0016112939,0.1637999,0.036123384,0.000252742,0.000023140621,0.00023853494],"study_design_scores_gemma":[0.00013627729,0.00017753914,0.8258614,0.000057501788,0.000003249408,5.855259e-8,0.008673521,0.0020264538,0.16279134,0.00013990505,0.00006938979,0.00006338078],"about_ca_topic_score_codex":0.001706661,"about_ca_topic_score_gemma":0.00018835736,"teacher_disagreement_score":0.16177344,"about_ca_system_score_codex":0.00026446252,"about_ca_system_score_gemma":0.000022255152,"threshold_uncertainty_score":0.59415126},"labels":[],"label_agreement":null},{"id":"W2984553011","doi":"","title":"Croissance de la productivité multifactorielle ajustée en fonction de l’environnement dans le secteur de la fabrication au Canada","year":2019,"lang":"fr","type":"article","venue":"Direction des études analytiques : documents de recherche","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Humanities; Philosophy","score_opus":0.02277836289533242,"score_gpt":0.32237761245316865,"score_spread":0.29959924955783623,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2984553011","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95855004,0.00048689422,0.013975737,0.0010718147,0.00024372379,0.0006676289,0.000016058915,0.00008798957,0.02490013],"genre_scores_gemma":[0.9658782,0.002187618,0.00857507,0.00016200806,0.00016850285,0.00010511465,0.000021727716,0.00006599741,0.022835778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99076045,0.0065598683,0.00043795494,0.0007694253,0.00045460905,0.0010177158],"domain_scores_gemma":[0.99785125,0.00090710865,0.0002524611,0.0005465232,0.000030068299,0.00041258623],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0068262904,0.00044491483,0.00033778124,0.000074615346,0.00043007423,0.00018503172,0.00036458063,0.0006848474,0.0012713998],"category_scores_gemma":[0.001013647,0.00050489977,0.00017282489,0.0004972845,0.0006242141,0.0009257968,0.00019665956,0.0010725625,0.000039571805],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007694418,0.00084096193,0.8650494,0.00020337522,0.00015596414,0.000016089241,0.007233484,0.01442901,0.07215551,0.0007249298,0.0005767331,0.03853755],"study_design_scores_gemma":[0.0005030393,0.00015173723,0.84460944,0.00008537428,0.00013226946,0.00006993168,0.004665952,0.0055863126,0.090871386,0.0019520448,0.050876718,0.00049581827],"about_ca_topic_score_codex":0.8365269,"about_ca_topic_score_gemma":0.339861,"teacher_disagreement_score":0.49666587,"about_ca_system_score_codex":0.06494327,"about_ca_system_score_gemma":0.0013973764,"threshold_uncertainty_score":0.99974024},"labels":[],"label_agreement":null},{"id":"W2988445238","doi":"10.3390/su11216179","title":"A Sustainability Assessment of Five Major Food Crops’ Water Footprints in China from 1978 to 2010","year":2019,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"National Planning Office of Philosophy and Social Science; Shanghai Rising-Star Program; National Science Foundation","keywords":"Sustainability; Water use; Agriculture; China; Distribution (mathematics); Resource (disambiguation); Natural resource economics; Business; Agricultural economics; Environmental resource management; Environmental science; Geography; Economics; Ecology; Mathematics","score_opus":0.0038102119836921247,"score_gpt":0.2527014008486063,"score_spread":0.24889118886491418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2988445238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98934275,0.000010611121,0.00020739013,0.0027306688,0.00018823004,0.0039464785,0.000055923305,0.000054869837,0.0034630722],"genre_scores_gemma":[0.9967826,0.0000014467175,0.0007445755,0.00012371514,0.00002204961,0.00018958726,0.00002896326,0.00003283367,0.0020742088],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9949213,0.0005538975,0.00096847967,0.0014031488,0.0008164847,0.0013366889],"domain_scores_gemma":[0.99713665,0.0001708585,0.00015110661,0.0019716427,0.00013814664,0.00043161583],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020303696,0.00051003817,0.0007806387,0.00014415129,0.00012826477,0.00005081986,0.0008062193,0.00026126445,0.006033352],"category_scores_gemma":[0.0008524556,0.0004182206,0.00027399432,0.00056604855,0.0006322187,0.00054087525,0.0017987343,0.00056558737,0.0001287158],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024781298,0.0011685446,0.98587495,0.0002536888,0.0000236502,0.00001502107,0.0042311647,0.004511896,0.0014653536,0.00025946597,0.00008180442,0.0018666476],"study_design_scores_gemma":[0.0011249991,0.0006594383,0.94235414,0.000010837114,0.000018306182,0.000001100844,0.004878029,0.0003286849,0.0038827064,0.045319244,0.0009500208,0.00047251457],"about_ca_topic_score_codex":0.025930678,"about_ca_topic_score_gemma":0.0022400385,"teacher_disagreement_score":0.045059778,"about_ca_system_score_codex":0.010620418,"about_ca_system_score_gemma":0.00026950493,"threshold_uncertainty_score":0.99982697},"labels":[],"label_agreement":null},{"id":"W2989643102","doi":"","title":"Improving the assessment of the State of the Carbon Cycle in North America by integrating inventory- and process- based approaches: A case study for Canada","year":2015,"lang":"en","type":"article","venue":"AGUFM","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); State (computer science); Environmental resource management; Environmental science; Computer science","score_opus":0.015689475163889823,"score_gpt":0.24439935971599452,"score_spread":0.2287098845521047,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2989643102","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986431,0.000015486656,0.000027687927,0.00012515999,0.000019452906,0.0010287247,0.000015900983,0.0000018108091,0.00012269485],"genre_scores_gemma":[0.9997695,2.0164016e-7,0.000052540723,0.00007349383,0.0000020769392,0.000073370255,8.3221727e-7,0.000006278801,0.000021676926],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99907887,0.00015002255,0.00019647887,0.00015431209,0.00026594521,0.00015434928],"domain_scores_gemma":[0.9994547,0.00006347704,0.00016083554,0.00026898485,0.0000061063242,0.000045900666],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041478046,0.000091082264,0.000113950555,0.0000057160814,0.00007918329,0.000008359342,0.00020693053,0.000011484827,0.0000021409048],"category_scores_gemma":[0.00010411952,0.000044403423,0.000023210108,0.00018083888,0.00024526674,0.000053492997,0.00015863626,0.000110333625,1.3168222e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000069745483,0.00016522157,0.9700435,0.000025844143,0.0000050716785,0.0000024910153,0.00672524,0.019955117,0.00015818936,2.2166809e-7,0.000007936611,0.002904185],"study_design_scores_gemma":[0.0009131813,0.00029861036,0.37033275,0.000011516143,0.000035663066,0.0000060705356,0.12787905,0.49906635,0.0011933133,0.00006672674,0.000042316227,0.00015445607],"about_ca_topic_score_codex":0.7477704,"about_ca_topic_score_gemma":0.8202003,"teacher_disagreement_score":0.59971076,"about_ca_system_score_codex":0.00041391162,"about_ca_system_score_gemma":0.00016019426,"threshold_uncertainty_score":0.2539092},"labels":[],"label_agreement":null},{"id":"W2991664928","doi":"10.1016/j.scitotenv.2019.135857","title":"Three-perspective energy-carbon nexus analysis for developing China's policies of CO2-emission mitigation","year":2019,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Nexus (standard); Greenhouse gas; Prosperity; China; Emission intensity; Energy consumption; Consumption (sociology); Natural resource economics; Production (economics); Environmental economics; Economics; Driving factors; Scenario analysis; Economic growth; Microeconomics; Ecology; Geography; Computer science; Engineering","score_opus":0.006733612677277151,"score_gpt":0.230234893304642,"score_spread":0.22350128062736485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2991664928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99407494,0.000046060486,0.0007561222,0.001074611,0.0000731491,0.0005065307,0.000008709166,0.000006678933,0.0034532216],"genre_scores_gemma":[0.99869335,0.000013187385,0.0004845142,0.000023007204,0.000010553461,0.000017526192,0.0000013050219,0.000008529816,0.00074803334],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99813735,0.000053525935,0.00029864136,0.0003660568,0.0007971785,0.00034724537],"domain_scores_gemma":[0.99884546,0.00006292853,0.00028655253,0.0007300014,0.0000080133495,0.00006703377],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00081862137,0.0001677661,0.0002365841,0.00006139789,0.00026535298,0.00001652482,0.0007435012,0.00004495462,0.00019238806],"category_scores_gemma":[0.00006693506,0.00009769013,0.0002104274,0.00071345485,0.002101302,0.00020424309,0.00067197887,0.00007877106,0.0000057652373],"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":[0.00009694678,0.00024179432,0.06279744,0.000024134648,0.00013914188,1.5618741e-7,0.0048958007,0.29044947,0.6343343,0.0058246134,0.000017759663,0.0011783945],"study_design_scores_gemma":[0.00020942396,0.00012369016,0.7515322,0.0000116199135,0.0001181273,0.00000143654,0.0015665329,0.02107171,0.21366628,0.0115197105,0.000022866589,0.00015639146],"about_ca_topic_score_codex":0.0020759234,"about_ca_topic_score_gemma":0.000014880795,"teacher_disagreement_score":0.68873477,"about_ca_system_score_codex":0.0010102631,"about_ca_system_score_gemma":0.000035931556,"threshold_uncertainty_score":0.77423346},"labels":[],"label_agreement":null},{"id":"W2993741513","doi":"10.3390/ijerph16234873","title":"Decoupling Analysis of Water Footprint and Economic Growth: A Case Study of Beijing–Tianjin–Hebei Region from 2004 to 2017","year":2019,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"China Three Gorges University; National Natural Science Foundation of China","keywords":"Water use; Divisia index; Beijing; Water resources; Decoupling (probability); Footprint; Environmental science; Natural resource economics; Population; Environmental engineering; Water resource management; Economics; Energy intensity; Geography; Engineering; China; Efficient energy use; Environmental health","score_opus":0.05430947831913278,"score_gpt":0.3730191011756715,"score_spread":0.3187096228565387,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2993741513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980331,0.00011140533,0.000076229575,0.0012403214,0.00007583302,0.0003409111,0.000043229982,0.0000014987413,0.000077476354],"genre_scores_gemma":[0.99943686,0.00024564474,0.0001494536,0.000065301916,0.000031177624,0.0000033956774,0.000008545889,0.000009131868,0.00005051757],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976821,0.00020674651,0.0006748908,0.0002944018,0.00078394497,0.0003579136],"domain_scores_gemma":[0.99881023,0.00018608618,0.00026095746,0.00021979191,0.00002190583,0.0005010479],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019063478,0.00012406331,0.00036833246,0.0004418484,0.000089496614,0.000054746895,0.00032880178,0.000048281523,0.00072226056],"category_scores_gemma":[0.00006571761,0.00009803563,0.000080336846,0.00011468692,0.000260405,0.0003321668,0.00058942375,0.00024390558,0.000012760143],"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":[0.00015896572,0.0009428767,0.9833711,0.000008321836,0.00038662492,0.00013674167,0.004229304,0.0005422872,0.001745797,0.000007720318,0.000032392072,0.008437903],"study_design_scores_gemma":[0.0011911583,0.0021325615,0.97590435,0.000016997483,0.000034765813,0.00020920462,0.018797632,0.00054860924,0.00046924292,0.0002551262,0.00031976635,0.00012060973],"about_ca_topic_score_codex":0.009014656,"about_ca_topic_score_gemma":0.0011234547,"teacher_disagreement_score":0.014568328,"about_ca_system_score_codex":0.0010250944,"about_ca_system_score_gemma":0.00004462568,"threshold_uncertainty_score":0.9975844},"labels":[],"label_agreement":null},{"id":"W2994757686","doi":"","title":"Energy and Carbon Exchanges Along an Urbanization Gradient in Montreal, Canada","year":2010,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Urbanization; Energy (signal processing); Meteorology; Geography; Environmental science; Economic growth; Economics; Physics","score_opus":0.005469666899328063,"score_gpt":0.19400689723945852,"score_spread":0.18853723034013045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2994757686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98643667,0.000033415727,5.2952606e-7,0.0001236624,0.00010020272,0.00008748828,0.0000019581303,0.000017025835,0.013199057],"genre_scores_gemma":[0.99954516,0.00001741537,0.0000907631,0.00012966243,0.000031500655,0.000007760407,0.000010961294,0.000012802482,0.00015399247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99893016,0.00004199067,0.00019727426,0.00029656486,0.00021731769,0.00031671097],"domain_scores_gemma":[0.99947846,0.000047795435,0.00007237052,0.000198758,0.000003752187,0.00019886276],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027632294,0.00013573814,0.00010981789,0.00002314812,0.00007887594,0.000027300568,0.00010680193,0.00007311015,0.000011839829],"category_scores_gemma":[0.000091820526,0.00013286527,0.000010294583,0.000087349596,0.00009377855,0.0001687379,0.0000797664,0.00013243809,0.0000012275488],"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":[0.000005571974,0.00006718332,0.9883604,0.0000056300987,0.0000015569116,0.000027121903,0.00055952277,0.0015994058,0.0038059733,0.000004650815,0.00009835378,0.0054646027],"study_design_scores_gemma":[0.00014753253,0.000034364388,0.9957149,0.0000064295764,0.000004252087,0.0000072416897,0.00038202334,0.0013364882,0.0013493275,0.00016675142,0.00069682626,0.00015383375],"about_ca_topic_score_codex":0.99292225,"about_ca_topic_score_gemma":0.9994374,"teacher_disagreement_score":0.013108482,"about_ca_system_score_codex":0.00024115818,"about_ca_system_score_gemma":0.000019841116,"threshold_uncertainty_score":0.54180884},"labels":[],"label_agreement":null},{"id":"W2995171587","doi":"10.3390/w11122634","title":"Bridging the Data Gap in the Water Scarcity Footprint by Using Crop-Specific AWARE Factors","year":2019,"lang":"en","type":"article","venue":"Water","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Hydro-Québec; Danone; L'Oreal USA","keywords":"Water scarcity; Scarcity; Water use; Environmental science; Water resource management; Footprint; Agricultural engineering; Proxy (statistics); Water resources; Geography; Engineering; Agronomy; Mathematics; Economics; Ecology; Statistics","score_opus":0.04548162963578899,"score_gpt":0.2590807756351645,"score_spread":0.21359914599937552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995171587","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976423,0.000011290938,0.000074597185,0.001078779,0.00009024119,0.00040823768,0.000014045139,0.0000119162905,0.00066860614],"genre_scores_gemma":[0.99914706,0.00000419125,0.000014106083,0.00023839308,0.000023998738,0.000003872227,0.00006324832,0.000014064997,0.0004910603],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984215,0.00016544577,0.00018011285,0.00039116503,0.0003294098,0.0005123784],"domain_scores_gemma":[0.9987787,0.000022816737,0.000019752631,0.0011313474,0.0000016029206,0.00004575159],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007660538,0.00016150731,0.00011722802,0.000012409782,0.00019549155,0.0001202737,0.00090523885,0.000049137878,0.0022697647],"category_scores_gemma":[0.0000043075015,0.00005604103,0.000044400105,0.000051263924,0.0002412,0.00031357713,0.0011462987,0.00022399331,0.0004595775],"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":[0.0000113154465,0.000075035,0.91873556,0.000007239703,0.000004397078,0.0000048763663,0.005231802,0.00070981844,0.07322367,0.0000014725675,0.00078208547,0.0012127229],"study_design_scores_gemma":[0.00042115935,0.000045113517,0.8037887,0.0000096773,0.000013500552,0.000012967071,0.004021452,0.0033372103,0.123845115,0.0003170505,0.06375132,0.0004367428],"about_ca_topic_score_codex":0.0019522731,"about_ca_topic_score_gemma":0.00007922507,"teacher_disagreement_score":0.114946865,"about_ca_system_score_codex":0.00026669377,"about_ca_system_score_gemma":0.0000021004532,"threshold_uncertainty_score":0.9986423},"labels":[],"label_agreement":null},{"id":"W2995329444","doi":"10.1111/conl.12696","title":"Growth‐inducing infrastructure represents transformative yet ignored keystone environmental decisions","year":2019,"lang":"en","type":"article","venue":"Conservation Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":49,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wildlife Conservation Society Canada; University of Northern British Columbia","funders":"","keywords":"Sustainability; Environmental resource management; Business; Legislation; Anthropocene; Environmental planning; Unintended consequences; Ecological footprint; Process (computing); Climate change; Natural resource economics; Environmental economics; Economics; Computer science; Ecology; Environmental science; Political science","score_opus":0.005413565023851529,"score_gpt":0.20323210141283285,"score_spread":0.1978185363889813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995329444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99224085,0.00000710453,0.0012016301,0.0038889428,0.00017841342,0.00061429816,0.00002734384,0.00004690464,0.0017945023],"genre_scores_gemma":[0.99188036,0.0000123932,0.0010707102,0.0065284222,0.000017041906,0.000022346643,0.00008577343,0.00002123078,0.00036175057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982571,0.00011480719,0.00035166217,0.00043068148,0.00047428862,0.00037146517],"domain_scores_gemma":[0.99915475,0.00014248786,0.000119135046,0.00043019943,0.000003329837,0.00015012389],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00023716262,0.0002277592,0.00019816688,0.000052359544,0.00018626252,0.000042934244,0.00027133818,0.00009839486,0.005749953],"category_scores_gemma":[0.00009017118,0.00021605162,0.00010098623,0.000197411,0.00030377856,0.00093409355,0.0001579242,0.00023807307,0.0010513231],"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":[0.000039920767,0.000054096043,0.8353317,0.000006422205,0.000015919579,0.000006153617,0.0018228833,0.0011879848,0.1522308,0.000019333691,0.007650604,0.0016341904],"study_design_scores_gemma":[0.00073181797,0.000044696175,0.98722994,0.000014077833,0.000014027124,0.000011003658,0.0013714185,0.0009911044,0.0060412935,0.0004916002,0.0027840459,0.00027496452],"about_ca_topic_score_codex":0.00033665288,"about_ca_topic_score_gemma":0.000017495748,"teacher_disagreement_score":0.15189826,"about_ca_system_score_codex":0.0006372957,"about_ca_system_score_gemma":0.000009207498,"threshold_uncertainty_score":0.9997265},"labels":[],"label_agreement":null},{"id":"W2995697796","doi":"10.1007/s11367-019-01718-3","title":"Sensitivity to weighting in life cycle impact assessment (LCIA)","year":2019,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Future Earth","funders":"H2020 Marie Skłodowska-Curie Actions","keywords":"Weighting; Normalization (sociology); Mathematics; A-weighting; Statistics; Life-cycle assessment; Econometrics; Computer science; Economics; Medicine","score_opus":0.009428333274617822,"score_gpt":0.3225505395291551,"score_spread":0.31312220625453724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2995697796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9848435,0.000013018263,0.0008277122,0.0063217576,0.00051027624,0.0003186519,0.000007649939,0.000009350846,0.00714812],"genre_scores_gemma":[0.99625444,0.000015417352,0.0016124548,0.0018029978,0.00018675231,0.0000056989566,0.0000026676657,0.000018562923,0.000101012025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969562,0.0003112574,0.0006851551,0.00024225898,0.0014366363,0.00036846276],"domain_scores_gemma":[0.99856925,0.00031035038,0.0004198719,0.00030380223,0.000046810484,0.0003499163],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026565755,0.00020818756,0.00032338197,0.00011093249,0.00007629181,0.00012823309,0.0006696019,0.000054749966,0.002268778],"category_scores_gemma":[0.00019554836,0.00014496842,0.00021227344,0.00018942541,0.00008247363,0.00059899996,0.0005727261,0.00046750376,0.00015321068],"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":[0.000107060674,0.000375637,0.8370429,0.0000033452723,0.00009113229,0.000053767377,0.00040523405,0.15244275,0.0057720253,0.00009745908,0.00037447267,0.0032341832],"study_design_scores_gemma":[0.0008105487,0.00022253193,0.9811859,0.00003299414,0.00001252417,0.00004272439,0.0010093288,0.015186071,0.000176386,0.0006552204,0.00049677957,0.00016897338],"about_ca_topic_score_codex":0.0009130483,"about_ca_topic_score_gemma":0.00015909059,"teacher_disagreement_score":0.14414299,"about_ca_system_score_codex":0.0027102018,"about_ca_system_score_gemma":0.0002188295,"threshold_uncertainty_score":0.9986433},"labels":[],"label_agreement":null},{"id":"W2996327757","doi":"10.1016/j.jclepro.2019.119594","title":"Comparative life-cycle assessment of traditional and emerging oily sludge treatment approaches","year":2019,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":171,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Fisheries and Oceans Canada; China Scholarship Council","keywords":"Life-cycle assessment; Waste management; Incineration; Environmental science; Ecotoxicity; Energy recovery; Refinery; Waste treatment; Hazardous waste; Engineering; Chemistry","score_opus":0.04885299799979402,"score_gpt":0.28109544038608264,"score_spread":0.2322424423862886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996327757","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99549645,0.000052310188,0.000055371955,0.0006214038,0.00015431209,0.00020315502,0.000002057602,0.0000031148309,0.0034118346],"genre_scores_gemma":[0.99823284,0.000037172125,0.0011535146,0.000016440008,0.000106416475,0.0000025873085,0.0000023611424,0.0000053769145,0.0004432951],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990441,0.00008197986,0.0003069874,0.00015346015,0.00030185975,0.000111598994],"domain_scores_gemma":[0.9994793,0.000025634232,0.00028423365,0.00011456858,0.0000101758205,0.00008612083],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00037668462,0.00009951906,0.00023024045,0.000040372404,0.0000515913,0.000011068932,0.000057256828,0.000028645316,0.0004632371],"category_scores_gemma":[0.000016242446,0.00007496313,0.00007019944,0.0000658228,0.00014962503,0.00045939445,0.000020499136,0.00010179123,0.0000059919334],"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":[0.00028032745,0.0024130356,0.74330664,0.00007808749,0.00018194037,0.000004404206,0.005885371,0.16320832,0.045784287,0.00014417828,0.0006258891,0.038087524],"study_design_scores_gemma":[0.0006126306,0.0010899616,0.9820688,0.000011972042,0.00004436102,0.000060552356,0.003418827,0.0019623144,0.008610661,0.0005654855,0.0014479297,0.00010652483],"about_ca_topic_score_codex":0.000022526101,"about_ca_topic_score_gemma":0.0000045891766,"teacher_disagreement_score":0.23876214,"about_ca_system_score_codex":0.00034283713,"about_ca_system_score_gemma":0.00002228481,"threshold_uncertainty_score":0.50721216},"labels":[],"label_agreement":null},{"id":"W2996593023","doi":"10.1007/s40273-019-00869-3","title":"One-Way Sensitivity Analysis for Probabilistic Cost-Effectiveness Analysis: Conditional Expected Incremental Net Benefit","year":2019,"lang":"en","type":"article","venue":"PharmacoEconomics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Health Economics; University of Alberta","funders":"Canadian Institutes of Health Research; University of Alberta; Genome Canada","keywords":"Probabilistic logic; Sensitivity (control systems); Decision analysis; Probabilistic analysis of algorithms; Value of information; Computer science; Value (mathematics); Cost–benefit analysis; Net present value; Conditional probability; Quality of Life Research; Econometrics; Statistics; Mathematics; Machine learning; Artificial intelligence; Production (economics); Economics; Medicine; Public health","score_opus":0.022066577806376657,"score_gpt":0.299888191216219,"score_spread":0.27782161340984235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2996593023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99058044,0.000010502277,0.005659679,0.00007089761,0.00008856007,0.001971348,0.0006026857,0.000048073052,0.0009678174],"genre_scores_gemma":[0.99774927,0.000006312448,0.00041945037,0.00032437715,0.00004090829,0.0002818049,0.0009854978,0.000021949047,0.00017044226],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980527,0.00017580566,0.00038383616,0.00071822,0.00019593393,0.00047347049],"domain_scores_gemma":[0.9987871,0.00040770668,0.00018539302,0.00037883013,0.000016393862,0.0002245484],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00091256574,0.0002674249,0.00057656824,0.00016024352,0.00016473366,0.00006473139,0.00017723102,0.00008105757,0.006431175],"category_scores_gemma":[0.000032057815,0.00030666144,0.000500555,0.0005640079,0.00019251891,0.00048503175,0.00020197469,0.00013818784,0.00029700855],"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":[0.00020876389,0.00032603345,0.6537297,0.000024926298,0.0018492815,0.0000012945329,0.000096601325,0.33328292,0.009757718,0.00016831503,0.00003307953,0.00052138406],"study_design_scores_gemma":[0.0012407422,0.00006992507,0.8534501,0.000001528203,0.0023087834,0.0000012041194,0.00012359531,0.13448389,0.0065983003,0.0009015968,0.0004427674,0.00037755028],"about_ca_topic_score_codex":0.0005624509,"about_ca_topic_score_gemma":0.00048321378,"teacher_disagreement_score":0.19972041,"about_ca_system_score_codex":0.0017790283,"about_ca_system_score_gemma":0.000016815551,"threshold_uncertainty_score":0.99993855},"labels":[],"label_agreement":null},{"id":"W2998090447","doi":"10.1016/j.apenergy.2019.114348","title":"Multi-Dimensional Hypothetical Fuzzy Risk Simulation model for Greenhouse Gas mitigation policy development","year":2019,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University; University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Environmental economics; Analytic hierarchy process; Fuzzy logic; Government (linguistics); Distribution (mathematics); Environmental resource management; Environmental science; Computer science; Operations research; Engineering; Economics; Mathematics","score_opus":0.011338458849840685,"score_gpt":0.23867286225786513,"score_spread":0.22733440340802444,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998090447","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9347118,0.0000036285148,0.06209218,0.00006238313,0.000024314382,0.00034091374,0.000008572666,0.000048628983,0.0027075617],"genre_scores_gemma":[0.9626788,0.000003098823,0.034979463,0.00032526234,0.000027226939,0.00008066996,0.00004581409,0.000028198008,0.001831463],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9987438,0.00002172372,0.00023655895,0.0003734203,0.00027899875,0.0003455011],"domain_scores_gemma":[0.99944663,0.00008022157,0.00007824892,0.00024865536,0.000005686747,0.00014055762],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017057659,0.00017462205,0.00013923622,0.000036828136,0.00012678244,0.000015724943,0.0001191604,0.000105872416,0.00017385732],"category_scores_gemma":[0.000025545984,0.00016341591,0.00005862889,0.00009723434,0.00010824008,0.00011629997,0.00013328843,0.00006844795,0.00021784342],"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":[0.00007090394,0.00022632853,0.0043611214,0.0000057933144,0.000009073705,1.8832542e-7,0.00031176806,0.96209055,0.009924577,0.0018374162,0.00006529623,0.021096952],"study_design_scores_gemma":[0.0010253772,0.000049392886,0.020452281,0.0000021750309,0.000010909536,5.687979e-7,0.000042569744,0.9588147,0.0056550987,0.01092504,0.0027458097,0.00027609107],"about_ca_topic_score_codex":0.00022569754,"about_ca_topic_score_gemma":0.00010741301,"teacher_disagreement_score":0.027966991,"about_ca_system_score_codex":0.00054132036,"about_ca_system_score_gemma":0.00003295101,"threshold_uncertainty_score":0.6663908},"labels":[],"label_agreement":null},{"id":"W2998748900","doi":"10.1029/2019ef001354","title":"China's Trade‐Off Between Economic Benefits and Sulfur Dioxide Emissions in Changing Global Trade","year":2020,"lang":"en","type":"article","venue":"Earth s Future","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":41,"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":"Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology; Major Science and Technology Program for Water Pollution Control and Treatment; National Natural Science Foundation of China-Yunnan Joint Fund; Natural Science Foundation of Jiangsu Province","keywords":"China; International trade; East Asia; Economics; Economic integration; Balance of trade; Distribution (mathematics); International economics; Trade barrier; Environmental degradation; Geography","score_opus":0.007532501007667355,"score_gpt":0.21312810358364104,"score_spread":0.20559560257597367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2998748900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98083895,0.00043575166,0.0000073059514,0.01712845,0.00005482116,0.00022208232,0.00007449566,0.000034498837,0.0012036156],"genre_scores_gemma":[0.9988701,0.000097258795,0.0001660932,0.00052276335,0.00027525288,0.0000043541104,0.000014317143,0.000011180807,0.000038722883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99887073,0.000046223602,0.00018261497,0.00036549577,0.00013030216,0.00040462663],"domain_scores_gemma":[0.9994494,0.000012022989,0.000039908486,0.0001486268,1.7884976e-7,0.00034986247],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011871683,0.00018100244,0.00020332306,0.000020706546,0.00011944789,0.000027500528,0.00015016855,0.000109999295,0.00051738636],"category_scores_gemma":[0.0000130819935,0.00016694654,0.00005744912,0.00020944596,0.00009665597,0.0002484163,0.00016350547,0.00020993032,0.000046467725],"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":[0.000014326288,0.000023111366,0.92460084,0.000009512639,0.000006615492,0.000012632171,0.0023744325,0.000858312,0.0003257578,0.000078583624,0.00020858712,0.07148726],"study_design_scores_gemma":[0.0003370364,0.000060746763,0.9858384,0.000008262788,0.000009283923,0.0000053459216,0.0007598382,0.00022429664,0.00042519864,0.00005961592,0.012087968,0.00018401865],"about_ca_topic_score_codex":0.00007468504,"about_ca_topic_score_gemma":0.00012442839,"teacher_disagreement_score":0.07130324,"about_ca_system_score_codex":0.00016351251,"about_ca_system_score_gemma":0.000009579768,"threshold_uncertainty_score":0.6807882},"labels":[],"label_agreement":null},{"id":"W2999383507","doi":"10.1016/j.scitotenv.2020.136813","title":"A comprehensive planetary boundary-based method for the nitrogen cycle in life cycle assessment: Development and application to a tomato production case study","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Mitacs; Unilever","keywords":"Environmental science; Life-cycle assessment; Reactive nitrogen; Nitrogen cycle; Agriculture; Nitrogen; Production (economics); Environmental engineering; Agricultural engineering; Ecology; Engineering; Biology","score_opus":0.014781474604671042,"score_gpt":0.2785353218410256,"score_spread":0.26375384723635453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999383507","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98845637,0.00003021577,0.0033443146,0.0047320793,0.00003567711,0.0033466439,0.0000073157466,0.00001045753,0.00003691191],"genre_scores_gemma":[0.9927971,0.0000013895853,0.0065238066,0.00032843722,0.000014815631,0.00030823916,0.0000011108287,0.000009888648,0.000015253895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99813944,0.00015990081,0.00030337076,0.00049636984,0.00059507263,0.00030587026],"domain_scores_gemma":[0.99905694,0.00012491673,0.00012390311,0.0005288623,0.0000040551263,0.00016132026],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012131407,0.00017038685,0.00016503596,0.000022842925,0.0007661517,0.000041310912,0.00050581235,0.000023082219,0.00004264411],"category_scores_gemma":[0.00006207559,0.00009577179,0.00004369326,0.0003392201,0.00088955957,0.00016179458,0.000687807,0.00013163708,0.000013306244],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008868218,0.00036024876,0.0075173746,0.000020274267,0.000017527927,0.000004545648,0.008893382,0.95945513,0.014384674,0.000008200766,0.000017036798,0.009232938],"study_design_scores_gemma":[0.0009106425,0.0004940965,0.5382743,0.000008690146,0.00007826827,0.00008080078,0.025123883,0.4217805,0.012028941,0.00040475465,0.00048488125,0.00033025545],"about_ca_topic_score_codex":0.0007580541,"about_ca_topic_score_gemma":0.000039713672,"teacher_disagreement_score":0.5376746,"about_ca_system_score_codex":0.0004115387,"about_ca_system_score_gemma":0.000060080987,"threshold_uncertainty_score":0.5892697},"labels":[],"label_agreement":null},{"id":"W2999762634","doi":"10.1111/jiec.12979","title":"Hybridization of complete PLCA and MRIO databases for a comprehensive product system coverage","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Hydro-Québec","keywords":"Database; Computer science; Truncation (statistics); Product (mathematics); Process (computing); Completeness (order theory); Data mining; Mathematics","score_opus":0.08664753929640027,"score_gpt":0.2750023732293209,"score_spread":0.18835483393292063,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2999762634","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973415,0.000034008473,0.00079963385,0.0010157385,0.00017825156,0.00045018352,0.00007081714,0.000005227539,0.000104642175],"genre_scores_gemma":[0.9990831,0.000016232512,0.00049299933,0.0001934207,0.0001892434,0.0000027275746,0.000008328472,0.000006578995,0.0000073617025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989984,0.00012432064,0.00045202518,0.00013824504,0.00014199002,0.00014503852],"domain_scores_gemma":[0.9991226,0.00018474372,0.00046031532,0.00008281013,0.00002640907,0.00012311628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026660162,0.00009099538,0.00033339788,0.000024081313,0.00006005269,0.000008242903,0.000108500426,0.000048007354,0.00011144552],"category_scores_gemma":[0.00045369036,0.00007697382,0.00005720063,0.00008523617,0.00018928986,0.0002053236,0.00011497059,0.00014755281,0.000002955736],"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":[0.0036134291,0.00043214392,0.8824252,0.00031525482,0.00019623166,0.00008896778,0.0013317834,0.011380673,0.062490236,0.00036469326,0.026496198,0.01086521],"study_design_scores_gemma":[0.02603456,0.014277587,0.773128,0.00020020282,0.0006160702,0.00085698604,0.007969744,0.009350486,0.036077242,0.00033332454,0.13016856,0.0009872813],"about_ca_topic_score_codex":0.000040273095,"about_ca_topic_score_gemma":0.000010133257,"teacher_disagreement_score":0.109297216,"about_ca_system_score_codex":0.00019663523,"about_ca_system_score_gemma":0.00004445685,"threshold_uncertainty_score":0.31389013},"labels":[],"label_agreement":null},{"id":"W3000007264","doi":"10.3390/app10020586","title":"The Impact of Virtual Water on Sustainable Development in Gansu Province","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Virtual water; China; Sustainable development; Environmental science; Water use; Economic shortage; Water scarcity; Business; Water resource management; Mathematics; Agricultural economics; Natural resource economics; Environmental engineering; Geography; Economics; Agriculture; Political science","score_opus":0.009873938931786695,"score_gpt":0.23560747015078365,"score_spread":0.22573353121899695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3000007264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9758885,0.000005323455,0.000027633998,0.0004357702,0.000007789299,0.0003555635,4.441004e-7,0.000010623782,0.023268381],"genre_scores_gemma":[0.9993659,0.0000022392787,0.00009576755,0.00013734416,0.000006506915,0.00002068402,6.865169e-7,0.0000044074504,0.0003664332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985605,0.000033357937,0.00021386844,0.00029521793,0.00039308643,0.0005040003],"domain_scores_gemma":[0.9996522,0.00006207733,0.00004310633,0.00013590844,0.000002528589,0.000104176994],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00075056596,0.00012159448,0.000115386785,0.000019143457,0.00033826404,0.000044473607,0.00045704018,0.000029556088,0.000301622],"category_scores_gemma":[0.000038929942,0.000059718404,0.00003626688,0.0002824218,0.0009053399,0.0001568318,0.0002921726,0.000099966746,0.00013446606],"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":[0.0007547682,0.00091686717,0.6368123,0.00005003391,0.000029893708,0.000051029983,0.03858384,0.12404146,0.13821608,0.014183307,0.0021300726,0.044230293],"study_design_scores_gemma":[0.00074058265,0.0014748703,0.69446784,0.00000672045,0.0000039053657,0.000001368843,0.01998664,0.0014175485,0.2722702,0.003022702,0.0061139604,0.0004936633],"about_ca_topic_score_codex":0.00026832044,"about_ca_topic_score_gemma":0.000047358713,"teacher_disagreement_score":0.13405412,"about_ca_system_score_codex":0.000363547,"about_ca_system_score_gemma":0.00006955904,"threshold_uncertainty_score":0.33357626},"labels":[],"label_agreement":null},{"id":"W3003817966","doi":"10.1088/1748-9326/ab70bf","title":"Geographic versus institutional drivers of nitrogen footprints: a comparison of two urban universities","year":2020,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Montréal; McGill University","funders":"Université de Montréal; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Per capita; Counterfactual thinking; Context (archaeology); Footprint; Geography; Population; Agricultural economics; Economic growth; Economics; Demography; Sociology; Psychology; Archaeology","score_opus":0.04414365255819755,"score_gpt":0.3254399338988378,"score_spread":0.2812962813406402,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003817966","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99682647,0.00007398939,0.000111863286,0.00069875614,0.00003921292,0.0003372686,0.00006264303,0.000013392679,0.0018363934],"genre_scores_gemma":[0.99922925,0.000021107959,0.0004946093,0.00014279112,0.00003121325,0.0000079022375,0.000028464065,0.000015094062,0.000029548564],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971297,0.0002610665,0.0003378982,0.0004141379,0.0013400638,0.00051712716],"domain_scores_gemma":[0.9990681,0.00018460228,0.00011454557,0.00030818424,0.0000036433319,0.00032093158],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039595037,0.00018842026,0.00027736105,0.00010216554,0.00022446396,0.000011839594,0.0005406279,0.00006199197,0.0025653106],"category_scores_gemma":[0.000060393806,0.0001984403,0.00016682228,0.00033065944,0.003884721,0.00032966337,0.0008226421,0.00039366464,0.00016145893],"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":[0.0003862952,0.00031213698,0.858618,0.000025516934,0.0000594423,0.000016411195,0.0026931034,0.0031126102,0.13325122,0.00012168264,0.00040474208,0.0009988096],"study_design_scores_gemma":[0.0049856193,0.001779694,0.81580347,0.00003751138,0.00007681487,0.0000031546733,0.030350639,0.0017171418,0.13582511,0.00022718862,0.008534259,0.0006593779],"about_ca_topic_score_codex":0.00043449903,"about_ca_topic_score_gemma":0.000013165505,"teacher_disagreement_score":0.04281454,"about_ca_system_score_codex":0.0009817187,"about_ca_system_score_gemma":0.000026726766,"threshold_uncertainty_score":0.99882615},"labels":[],"label_agreement":null},{"id":"W3003974559","doi":"10.15376/biores.15.1.787-813","title":"Exploring the regional-scale potential of the use of wood products in non-residential buildings: A building permits-based quantitative approach","year":2019,"lang":"en","type":"article","venue":"BioResources","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Material flow analysis; Estimation; Environmental science; Scale (ratio); Resource (disambiguation); Consumption (sociology); Life-cycle assessment; Building material; Civil engineering; Computer science; Environmental resource management; Architectural engineering; Engineering; Production (economics); Waste management; Geography","score_opus":0.05942460189174789,"score_gpt":0.24614440105224267,"score_spread":0.18671979916049478,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3003974559","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99867994,0.00003373089,0.00013465583,0.00029631978,0.000068117035,0.0006581535,0.0000060855828,0.0000074366135,0.00011558827],"genre_scores_gemma":[0.99653953,0.000005871218,0.0032234848,0.000046683705,0.000018009967,0.000027421653,0.0000014893074,0.0000140450575,0.00012344334],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984309,0.0001635203,0.00030009504,0.00033106614,0.00051293115,0.00026146977],"domain_scores_gemma":[0.9991768,0.000099974095,0.00019899801,0.000474897,0.000011145213,0.000038184367],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041798592,0.00015253927,0.00019892334,0.000052082392,0.00010060095,0.00002604018,0.0004553535,0.00004227877,0.000052206262],"category_scores_gemma":[0.00010508368,0.00009161464,0.00012030626,0.00044078514,0.0006853571,0.00035811737,0.0003098239,0.00015192901,0.000005744618],"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":[0.00020582044,0.00041105013,0.5943937,0.00012012293,0.000018170747,0.000001225167,0.0068660565,0.07748535,0.3195748,0.000054336604,0.00012402293,0.00074533746],"study_design_scores_gemma":[0.0003969443,0.00009773508,0.93508965,0.000051471558,0.000020991052,0.0000018018566,0.003435184,0.0037977493,0.05620339,0.000029943147,0.00073222216,0.00014291708],"about_ca_topic_score_codex":0.0018299661,"about_ca_topic_score_gemma":0.000053378237,"teacher_disagreement_score":0.34069595,"about_ca_system_score_codex":0.00012835198,"about_ca_system_score_gemma":0.000016839342,"threshold_uncertainty_score":0.37359366},"labels":[],"label_agreement":null},{"id":"W3005312938","doi":"10.1021/acs.est.9b05721","title":"Improving Carbon Stock Estimates for In-Use Harvested Wood Products by Linking Production and Consumption—A Global Case Study","year":2020,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"National Natural Science Foundation of China; Fundação para a Ciência e a Tecnologia; Government of Jiangsu Province; Nanjing Forestry University","keywords":"Carbon stock; Stock (firearms); Carbon fibers; Environmental science; Production (economics); Pulp and paper industry; Forestry; Agricultural economics; Engineering; Mathematics; Geography; Economics; Biology; Archaeology; Ecology","score_opus":0.015343624900081138,"score_gpt":0.2554541994189043,"score_spread":0.24011057451882314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3005312938","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99625856,0.00011339139,0.00012824939,0.0009247666,0.000073970965,0.002342895,0.000021053218,0.0001226892,0.000014438095],"genre_scores_gemma":[0.9977619,0.000010627036,0.0018938566,0.00008926092,0.0000160919,0.00017196657,0.0000054567963,0.00001748126,0.000033378215],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972402,0.000042930034,0.00034731952,0.0012761767,0.00037215382,0.00072125933],"domain_scores_gemma":[0.9992337,0.000028652394,0.00014079893,0.00038971333,0.0000038742837,0.00020321595],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00052318646,0.0002897128,0.0002540157,0.00009541593,0.0005319412,0.00009168064,0.0003394148,0.0001258482,0.000031067608],"category_scores_gemma":[0.00052876247,0.00028581463,0.000023820743,0.00086554093,0.0024969396,0.0009857595,0.00089733826,0.00024140558,0.000010553164],"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":[0.000026413878,0.000367638,0.8362836,0.000016715372,0.0000042025736,0.000077875826,0.0008670329,0.00013983113,0.15539084,0.0000037450213,0.000008621544,0.0068134777],"study_design_scores_gemma":[0.0021049557,0.0025912817,0.8699539,0.00002455641,0.00010132563,0.0012687068,0.020987878,0.00983446,0.091410786,0.00027260455,0.0002857438,0.0011638107],"about_ca_topic_score_codex":0.0009192396,"about_ca_topic_score_gemma":0.0004577148,"teacher_disagreement_score":0.06398006,"about_ca_system_score_codex":0.0013594277,"about_ca_system_score_gemma":0.000021359505,"threshold_uncertainty_score":0.9999594},"labels":[],"label_agreement":null},{"id":"W3006822087","doi":"10.1007/s41651-019-0046-x","title":"Functional Requirements of Systems for Visualization of Sustainable Development Goal (SDG) Indicators","year":2020,"lang":"en","type":"article","venue":"Journal of Geovisualization and Spatial Analysis","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"National Natural Science Foundation of China","keywords":"Computer science; Visualization; Set (abstract data type); Sustainable development; Rank (graph theory); Representation (politics); Graphics; Function (biology); Process management; Categorization; Requirements analysis; Data science; Data mining; Management science; Software; Artificial intelligence; Engineering; Mathematics; Political science; Programming language","score_opus":0.015203397260289794,"score_gpt":0.2694794572028567,"score_spread":0.2542760599425669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3006822087","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6597796,0.00005966197,0.33986655,0.000047435435,0.000023257744,0.0001604618,0.0000037222344,0.0000026110108,0.00005669629],"genre_scores_gemma":[0.9994674,0.000039912313,0.00022584977,0.000051228326,0.000029684088,0.000003717993,0.000036350426,0.00000703701,0.0001388404],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99833596,0.00008287266,0.00080296333,0.00013734661,0.00050333055,0.00013750217],"domain_scores_gemma":[0.9987994,0.00003480033,0.0008623802,0.00006444908,0.0000999672,0.00013904345],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005613741,0.000103528146,0.00035895454,0.00022192221,0.00009022046,0.000018910394,0.000089571105,0.000057036403,0.0003602678],"category_scores_gemma":[0.00018549443,0.00008857634,0.00013357442,0.00084313675,0.000102279286,0.00025304305,0.00007092524,0.000036434365,7.8064465e-7],"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":[0.00029578875,0.0002736221,0.9543991,0.00023110943,0.0005275128,0.0000021863043,0.0028305133,0.03666426,0.0020840736,0.00087223784,0.00026292467,0.0015566543],"study_design_scores_gemma":[0.0015328425,0.0008482421,0.9190107,0.000020690293,0.0010349744,0.0000021385297,0.00618807,0.059491757,0.007973674,0.0001307019,0.0035299188,0.00023626229],"about_ca_topic_score_codex":0.00022486827,"about_ca_topic_score_gemma":0.000020668447,"teacher_disagreement_score":0.3396878,"about_ca_system_score_codex":0.00014739034,"about_ca_system_score_gemma":0.000046759676,"threshold_uncertainty_score":0.39446798},"labels":[],"label_agreement":null},{"id":"W3008150535","doi":"10.1016/j.buildenv.2020.106751","title":"Dynamic greenhouse gas life cycle inventory and impact profiles of wood used in Canadian buildings","year":2020,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":65,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université Laval; École de Technologie Supérieure; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Greenhouse gas; Climate change; Product (mathematics); Environmental science; Modular design; Impact assessment; Representative Concentration Pathways; Product life-cycle management; Global warming; Life cycle inventory; Product lifecycle; Time horizon; Database; Environmental economics; Environmental resource management; Computer science; Engineering; New product development; Business; Climate model; Production (economics); Ecology; Mathematics; Economics","score_opus":0.008414122704590268,"score_gpt":0.22403734278279064,"score_spread":0.21562322007820037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3008150535","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981009,0.0003047308,0.0000417898,0.0010172284,0.0000116353185,0.00032483455,0.000019686504,0.000015980864,0.00016321609],"genre_scores_gemma":[0.9985046,0.00035611176,0.0008432253,0.0002226337,0.0000085399,0.00001443534,0.000004428514,0.000024604815,0.00002143839],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984615,0.00006246931,0.00028401334,0.00044774276,0.00023711842,0.00050716294],"domain_scores_gemma":[0.99883544,0.000025800064,0.00008006407,0.00019340296,7.5807554e-7,0.0008645553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028958175,0.00022755275,0.00027097252,0.00006233227,0.0000962319,0.000022505661,0.00014416233,0.00009461863,0.0005098384],"category_scores_gemma":[0.000057690882,0.00021401265,0.000054859942,0.00011403089,0.00039113677,0.000208005,0.00025444987,0.00016806721,0.000016338974],"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":[0.000030142446,0.000081909355,0.9733429,0.000040426643,0.000013772228,0.000013096775,0.0015988433,0.0055807354,0.013963258,0.000016468935,0.000054841745,0.0052635903],"study_design_scores_gemma":[0.0007269961,0.00033534164,0.98162925,0.000021336402,0.000021641963,0.000006252566,0.00062712573,0.013958674,0.0008429894,0.00034846258,0.0011555188,0.00032640155],"about_ca_topic_score_codex":0.07957838,"about_ca_topic_score_gemma":0.0070692594,"teacher_disagreement_score":0.07250912,"about_ca_system_score_codex":0.0006674683,"about_ca_system_score_gemma":0.000026397327,"threshold_uncertainty_score":0.9265508},"labels":[],"label_agreement":null},{"id":"W3009336723","doi":"10.3390/su12052002","title":"External-Cost Estimation of Electricity Generation in G20 Countries: Case Study Using a Global Life-Cycle Impact-Assessment Method","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":67,"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":"Electricity generation; Electricity; Life-cycle assessment; Environmental economics; Renewable energy; Natural resource economics; Ranking (information retrieval); Weighting; Environmental impact assessment; Coal; Business; Environmental science; Economics; Production (economics); Engineering; Power (physics); Computer science","score_opus":0.021278101826426483,"score_gpt":0.3732425013065532,"score_spread":0.3519643994801267,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3009336723","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9249435,0.00001928032,0.07243332,0.00023050673,0.000021553744,0.0022383856,0.000023919458,0.000028167775,0.00006137736],"genre_scores_gemma":[0.99509716,0.0000011779638,0.0046707005,0.0001295173,0.000025305832,0.00005183073,0.000007117304,0.0000127138965,0.000004470986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99688345,0.00076851307,0.00068132096,0.0006225811,0.000538774,0.00050534995],"domain_scores_gemma":[0.9988369,0.000101630656,0.00023011511,0.00043782574,0.00006240802,0.00033117528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015774744,0.00027681657,0.00041356517,0.00003847845,0.00017099283,0.000054623044,0.00019671099,0.000099880155,0.0004463271],"category_scores_gemma":[0.0010651856,0.00026126154,0.00012266885,0.0008236076,0.00020161309,0.0006548161,0.00028823057,0.0002246141,0.0000048397883],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000098375014,0.0007188578,0.73491424,0.00006416156,0.0000095416735,0.00019648774,0.0029189165,0.2576956,0.00013444282,0.000022271648,0.000009540606,0.0032175886],"study_design_scores_gemma":[0.0007618887,0.0004518086,0.5999234,0.0000018421878,0.000033931352,0.000042898133,0.006275315,0.39090085,0.0001712692,0.0012425061,0.0000042036304,0.0001901437],"about_ca_topic_score_codex":0.026666788,"about_ca_topic_score_gemma":0.0008229882,"teacher_disagreement_score":0.13499087,"about_ca_system_score_codex":0.010142717,"about_ca_system_score_gemma":0.00038029606,"threshold_uncertainty_score":0.99998397},"labels":[],"label_agreement":null},{"id":"W3010348888","doi":"10.3390/su12051787","title":"Assessment of the Impact of Climate Change Policies on the Market for Forest Industrial Residues","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada","keywords":"Greenhouse gas; Natural resource economics; Revenue; Biomass (ecology); Bioenergy; Externality; Fossil fuel; Raw material; Business; Biofuel; Environmental science; Economics; Agricultural economics; Environmental economics; Waste management; Engineering; Ecology; Microeconomics; Finance","score_opus":0.03988452106741675,"score_gpt":0.3258148819446113,"score_spread":0.28593036087719453,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010348888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98593163,0.000006056295,0.000017753697,0.007589528,0.00003248056,0.0025393863,0.00013867096,0.000013228419,0.0037312433],"genre_scores_gemma":[0.99946856,0.000008128812,0.0000314201,0.00022648303,0.00006113243,0.00013579305,0.0000028058994,0.000013404754,0.000052287785],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998154,0.0003561802,0.00037698084,0.0002927103,0.0003725892,0.0004475412],"domain_scores_gemma":[0.9985295,0.00042049572,0.0002407591,0.0006548692,0.00004429667,0.00011007263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001191265,0.00019798857,0.00028208792,0.000014982288,0.0002033888,0.000016832684,0.000507286,0.00009528555,0.0005751455],"category_scores_gemma":[0.0018567366,0.000102384285,0.00036839905,0.00032058923,0.0009495711,0.00015314759,0.0005456286,0.00021096405,9.860024e-7],"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":[0.00024820515,0.0002131776,0.99393284,0.000088959074,0.000016048845,2.9908094e-7,0.0011472272,0.00070454186,0.0001327124,0.0013382472,0.0011170822,0.0010606291],"study_design_scores_gemma":[0.00037191407,0.0007582286,0.9891337,0.000007977906,0.0000192598,2.3262659e-7,0.0020651706,0.0006588804,0.0005336312,0.0061012106,0.00024710933,0.00010268099],"about_ca_topic_score_codex":0.002098015,"about_ca_topic_score_gemma":0.00010109839,"teacher_disagreement_score":0.013536892,"about_ca_system_score_codex":0.0013665406,"about_ca_system_score_gemma":0.00011536073,"threshold_uncertainty_score":0.629744},"labels":[],"label_agreement":null},{"id":"W3010834169","doi":"10.1088/1748-9326/ab7f63","title":"Shifting economic activity to services has limited potential to reduce global environmental impacts due to the household consumption of labour","year":2020,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"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; Concordia University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Damages; Tertiary sector of the economy; Consumption (sociology); Economics; Economic sector; Decoupling (probability); Economic impact analysis; Primary sector of the economy; Service (business); Natural resource economics; Business; Economy; Microeconomics","score_opus":0.04187196131953121,"score_gpt":0.29627905027346735,"score_spread":0.25440708895393616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3010834169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96665746,0.000030879466,0.00027175844,0.030221948,0.00009530322,0.001850185,0.0007462804,0.000044171153,0.00008204032],"genre_scores_gemma":[0.99130815,0.00002357873,0.0005247331,0.00772231,0.00017120597,0.00009629616,0.000029551233,0.00005749684,0.00006665239],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9950462,0.000563693,0.000492513,0.001122386,0.0014512022,0.0013239891],"domain_scores_gemma":[0.99747634,0.00012236259,0.00012826058,0.0008127642,0.0000015539086,0.0014587438],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0011191204,0.00044462297,0.00040036664,0.00008944272,0.00063420617,0.00019049083,0.0011913055,0.00012478311,0.0024326239],"category_scores_gemma":[0.000080598795,0.00040211563,0.00017634957,0.0003608994,0.000787691,0.00056925684,0.002555649,0.0005246639,0.0042211725],"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":[0.0007635886,0.00031983195,0.22063601,0.000044684803,0.000046472567,0.00006596605,0.0030649859,0.032114655,0.7338235,0.0000036251308,0.0028533156,0.0062633944],"study_design_scores_gemma":[0.0005378566,0.00058835157,0.93876916,0.00001877115,0.000017178249,0.000017506696,0.0014235807,0.000449576,0.051074244,0.000014921478,0.006659288,0.0004295781],"about_ca_topic_score_codex":0.0017125879,"about_ca_topic_score_gemma":0.00023362099,"teacher_disagreement_score":0.71813315,"about_ca_system_score_codex":0.003602104,"about_ca_system_score_gemma":0.000022659666,"threshold_uncertainty_score":0.99984306},"labels":[],"label_agreement":null},{"id":"W3011084121","doi":"10.1007/s11367-020-01748-2","title":"Building an ILCD/EcoSPOLD2–compliant data-reporting template with application to Canadian agri-food LCI data","year":2020,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Business; Computer science; Accounting","score_opus":0.06962085330353313,"score_gpt":0.36047155664633806,"score_spread":0.29085070334280494,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3011084121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953109,0.000012089197,0.016981605,0.028511314,0.00011113295,0.00026582726,0.00012858491,0.000011045085,0.000869368],"genre_scores_gemma":[0.9808429,0.0000047181693,0.014975495,0.003817402,0.00026202615,0.000003990962,0.00007044011,0.000016018259,0.0000070034885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976584,0.000069132824,0.0007480276,0.0003458944,0.00092541554,0.00025316136],"domain_scores_gemma":[0.9976661,0.00005177508,0.00082593213,0.0007514306,0.00004188015,0.0006628567],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014551259,0.00014279832,0.0001870255,0.000040911385,0.00015522595,0.00015306832,0.0029344747,0.000027572818,0.00028714555],"category_scores_gemma":[0.00025124796,0.00009731538,0.000031553147,0.00013285388,0.00007722254,0.0010494087,0.0010629904,0.0002499941,0.000026776856],"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":[0.00051932764,0.0007066707,0.6596313,0.000025815381,0.0008470731,0.00037536974,0.0020623922,0.21123567,0.024108676,0.0008025539,0.011178295,0.088506855],"study_design_scores_gemma":[0.00060382317,0.0005217418,0.9119951,0.000030005283,0.00006333239,0.0001820082,0.0014514735,0.05313511,0.00030869604,0.00055570365,0.030859314,0.00029367747],"about_ca_topic_score_codex":0.013758968,"about_ca_topic_score_gemma":0.013464632,"teacher_disagreement_score":0.25236383,"about_ca_system_score_codex":0.0008178545,"about_ca_system_score_gemma":0.00024676305,"threshold_uncertainty_score":0.9928085},"labels":[],"label_agreement":null},{"id":"W3012349340","doi":"10.1142/s0217590820500125","title":"FACTORS LEADING TO INCREASED CARBON DIOXIDE EMISSIONS OF THE APEC COUNTRIES: THE LMDI DECOMPOSITION ANALYSIS","year":2020,"lang":"en","type":"article","venue":"The Singapore Economic Review","topic":"Environmental Impact and Sustainability","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":"","keywords":"China; Multiplicative function; Carbon dioxide; Population; Energy intensity; Geography; Economy; Economics; Demography; Energy (signal processing); Mathematics; Chemistry; Statistics; Sociology","score_opus":0.02068116555372664,"score_gpt":0.27599747351283793,"score_spread":0.2553163079591113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3012349340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9857708,0.0012181046,0.000024771902,0.010095974,0.000034889792,0.00065346144,0.000016726093,0.000012059286,0.0021731933],"genre_scores_gemma":[0.99574697,0.0007625856,0.000013408546,0.003343751,0.000022214594,0.000013330945,0.0000060709185,0.000009868492,0.00008181099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987561,0.00026020774,0.00040604945,0.00023751034,0.00014353033,0.0001965727],"domain_scores_gemma":[0.99887735,0.00017653321,0.00023056145,0.0005852547,0.0000029672376,0.0001273257],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006670509,0.00016089955,0.0003716562,0.000011116661,0.00025151396,0.000020811,0.00058503466,0.000028831377,0.0011231735],"category_scores_gemma":[0.00014790596,0.00007340241,0.00029349633,0.00031324744,0.00027561837,0.00008681125,0.00030068023,0.00013401918,0.000061011877],"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":[0.00003373445,0.0000675169,0.9706388,0.00040279535,0.00039000894,0.0000013190945,0.0049503986,0.011536422,0.005387899,0.00015510657,0.0032573512,0.0031786535],"study_design_scores_gemma":[0.000260639,0.00012259051,0.9148981,0.000507258,0.0024185092,0.000004270396,0.0018801565,0.00289724,0.009706841,0.00039803007,0.06630414,0.00060224166],"about_ca_topic_score_codex":0.0008156216,"about_ca_topic_score_gemma":0.00011925226,"teacher_disagreement_score":0.06304678,"about_ca_system_score_codex":0.0004615623,"about_ca_system_score_gemma":0.000021771199,"threshold_uncertainty_score":0.99978995},"labels":[],"label_agreement":null},{"id":"W3013229649","doi":"10.7551/mitpress/12430.001.0001","title":"Greening through Trade","year":2020,"lang":"en","type":"book","venue":"The MIT Press eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"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":"University of Oxford; Commission for Environmental Cooperation; Princeton University","keywords":"Enforcement; International trade; Environmental governance; Business; International economics; Environmental law; Negotiation; Trade barrier; Panacea (medicine); Corporate governance; Economics; Political science","score_opus":0.0330474247217544,"score_gpt":0.24028982369826293,"score_spread":0.20724239897650854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013229649","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00040752144,0.00035327586,0.00010482292,0.00036278853,0.000097153534,0.00068543415,0.000029927889,0.000096104806,0.997863],"genre_scores_gemma":[0.013941259,0.00002743365,0.00020810119,0.0014856934,0.00021973602,0.000044467914,0.000019715975,0.000077097226,0.9839765],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.998178,0.00011256226,0.0002898803,0.0004858114,0.0005075258,0.00042622242],"domain_scores_gemma":[0.9988938,0.00008502009,0.00015330812,0.00073192007,0.000001095674,0.00013483525],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00017090878,0.00038965422,0.00032792392,0.0000061666474,0.00023457284,0.000057556004,0.00084739015,0.00022798954,0.00083787186],"category_scores_gemma":[0.000018301826,0.00027414798,0.00021523144,0.000010669111,0.000833072,0.00010380169,0.0008265088,0.00069531274,0.00027074607],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00030224246,0.0001606734,0.0006540072,0.00042686667,0.00052528403,0.00033700635,0.052442897,0.0007019042,0.0015274622,0.015586542,0.83875924,0.08857588],"study_design_scores_gemma":[0.00017326174,0.00006952319,0.00054369954,0.000023360473,0.00011780883,0.000009034497,0.00004434248,0.000058320078,0.0007269202,0.010687196,0.9871922,0.00035429109],"about_ca_topic_score_codex":0.0003503374,"about_ca_topic_score_gemma":0.000029238228,"teacher_disagreement_score":0.14843301,"about_ca_system_score_codex":0.00048686087,"about_ca_system_score_gemma":0.000024914076,"threshold_uncertainty_score":0.9999711},"labels":[],"label_agreement":null},{"id":"W3013534207","doi":"10.1016/j.apenergy.2020.114848","title":"Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070","year":2020,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":992,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"Global Change Institute, University of the Witwatersrand, Johannesburg; William and Flora Hewlett Foundation","keywords":"Greenhouse gas; Environmental economics; Incentive; Business; Renewable energy; Industrial organization; Engineering; Economics","score_opus":0.010748177082994873,"score_gpt":0.2681713046765889,"score_spread":0.25742312759359404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3013534207","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96517694,0.0006820265,0.0004203318,0.008982086,0.000008026934,0.00024176222,0.0000109243165,0.000059425915,0.024418503],"genre_scores_gemma":[0.9926173,0.0013828888,0.0027772933,0.0031742153,0.0000046502723,0.000021889433,0.0000029407706,0.000004389711,0.000014401167],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935347,0.000013044235,0.00013199504,0.00021835479,0.00013549364,0.00014765319],"domain_scores_gemma":[0.9997324,0.000011305813,0.00004717695,0.00012783275,0.0000025300762,0.00007879755],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000049083705,0.00010511617,0.00017170275,0.000005517371,0.00004266247,0.0000093735525,0.00009753049,0.00009011578,0.00006072009],"category_scores_gemma":[0.000024708968,0.000094519164,0.000014317299,0.00021789869,0.0003051795,0.00008123382,0.000353863,0.000078474295,0.0000017089943],"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":[0.000036688754,0.00023075647,0.6498892,0.000682954,0.00009527086,0.00000792415,0.0017281836,0.001498791,0.031171659,0.10803725,0.011375928,0.1952454],"study_design_scores_gemma":[0.00094224815,0.00058443623,0.8608196,0.00010609081,0.0002044175,0.00000904102,0.009381641,0.00024123112,0.025260314,0.020854343,0.0807576,0.0008390787],"about_ca_topic_score_codex":0.00049452437,"about_ca_topic_score_gemma":0.000037083388,"teacher_disagreement_score":0.21093035,"about_ca_system_score_codex":0.00013081319,"about_ca_system_score_gemma":0.000007201812,"threshold_uncertainty_score":0.38543794},"labels":[],"label_agreement":null},{"id":"W3015086880","doi":"10.1007/s11356-020-08450-8","title":"Grey water footprint evaluation and driving force analysis of eight economic regions in China","year":2020,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":40,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Major Science and Technology Program for Water Pollution Control and Treatment","keywords":"Livestock; China; Scale (ratio); Footprint; Agriculture; Environmental science; Geography; Forestry","score_opus":0.03132567854093138,"score_gpt":0.3283846852700975,"score_spread":0.29705900672916613,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015086880","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961927,0.000048196616,0.000031134572,0.0018450604,0.000011781223,0.00040012616,0.000006983857,0.000004268813,0.0014597749],"genre_scores_gemma":[0.99963593,0.00013144813,0.000056806515,0.000061725594,0.000008770939,0.000018277127,0.0000073683755,0.0000049038526,0.000074784366],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976811,0.00019351147,0.00024118616,0.0005206255,0.00090874353,0.0004548418],"domain_scores_gemma":[0.9994543,0.000026034395,0.000038594928,0.00020463043,0.000003415772,0.00027301005],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0032054663,0.00010805286,0.00016859353,0.00022724475,0.00034794083,0.00004825607,0.0002185383,0.000048648504,0.0012295251],"category_scores_gemma":[0.0000898335,0.000087039065,0.000038656122,0.00063580426,0.0024263735,0.0004525844,0.0007032495,0.00017457122,0.00003322987],"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":[0.00002559411,0.0000694651,0.790854,0.000005350064,0.00001515314,0.0000016156256,0.0039294316,0.004653963,0.19000316,0.000104005856,0.000016436688,0.010321824],"study_design_scores_gemma":[0.00023349051,0.000113956936,0.9466517,0.0000025799202,0.000026541447,0.0000012179554,0.0012077821,0.03893853,0.012000389,0.00042504654,0.00029630592,0.00010246434],"about_ca_topic_score_codex":0.000709413,"about_ca_topic_score_gemma":0.00021805523,"teacher_disagreement_score":0.17800277,"about_ca_system_score_codex":0.0010579608,"about_ca_system_score_gemma":0.000024141002,"threshold_uncertainty_score":0.9996835},"labels":[],"label_agreement":null},{"id":"W3015588674","doi":"10.18462/iir.nh3-co2.2019.0046","title":"Climate considerations for R/AC equipment operation: is the answer in energy efficiency ?","year":2019,"lang":"en","type":"article","venue":"Institut International du Froid","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Efficient energy use; Context (archaeology); Chiller; Environmental economics; Greenhouse gas; Production (economics); Montreal Protocol; Business; Computer science; Environmental science; Risk analysis (engineering); Engineering; Economics; Electrical engineering; Ozone layer","score_opus":0.010162714961707437,"score_gpt":0.24547521746131776,"score_spread":0.23531250249961033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3015588674","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9399971,0.000033628177,0.0020603687,0.008208524,0.00088893063,0.00061699253,0.00006134729,0.000019640162,0.048113503],"genre_scores_gemma":[0.99480903,0.00004601743,0.0005297772,0.0033844777,0.000067075525,0.00010326456,0.000026605148,0.0000069953962,0.0010267278],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99897474,0.000029113917,0.00024747392,0.0002611382,0.00027598877,0.00021154327],"domain_scores_gemma":[0.99958277,0.00011044258,0.0000481993,0.00020396737,0.000012152177,0.000042500837],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027389204,0.00011142677,0.00008965662,0.000030645784,0.0001698753,0.00007895128,0.00022497422,0.000042450996,0.006351062],"category_scores_gemma":[0.0000770987,0.00008421653,0.00006200219,0.0000620885,0.00015666126,0.00037997842,0.00017118316,0.00006945357,0.00032434633],"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":[0.00013603603,0.00091267086,0.72769487,0.000015964559,0.000042705087,0.0000180875,0.003825733,0.11931808,0.008901728,0.12146055,0.012473454,0.0052001122],"study_design_scores_gemma":[0.0032579766,0.00029876537,0.34109154,0.0000417098,0.000020919768,0.000048812468,0.0012478749,0.12143397,0.010922197,0.019259755,0.5016506,0.0007258982],"about_ca_topic_score_codex":0.00029169154,"about_ca_topic_score_gemma":0.00038300178,"teacher_disagreement_score":0.4891771,"about_ca_system_score_codex":0.00043348924,"about_ca_system_score_gemma":0.000022470982,"threshold_uncertainty_score":0.99455726},"labels":[],"label_agreement":null},{"id":"W3018947761","doi":"10.1016/j.jobab.2020.04.004","title":"Preliminary sensitivity study on an life cycle assessment (LCA) tool via assessing a hybrid timber building","year":2020,"lang":"en","type":"article","venue":"Journal of Bioresources and Bioproducts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Queen's University; University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Life-cycle assessment; Environmental science; Global warming; Global-warming potential; Environmental impact assessment; Ozone layer; Ozone depletion; Environmental resource management; Process (computing); Environmental economics; Environmental engineering; Greenhouse gas; Environmental protection; Climate change; Ozone; Computer science; Meteorology; Production (economics); Ecology","score_opus":0.014949994558029261,"score_gpt":0.2758498497032309,"score_spread":0.26089985514520164,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3018947761","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971042,0.000046330602,0.00028171117,0.002065851,0.000066158005,0.0002780098,0.000003230996,0.000015856056,0.00013863806],"genre_scores_gemma":[0.9974431,0.0000074524287,0.0015976782,0.0006286081,0.00028732812,0.000001166721,9.818824e-7,0.00001676685,0.000016932114],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99809545,0.0002670878,0.00039437253,0.00039998454,0.00056557945,0.00027749877],"domain_scores_gemma":[0.9990153,0.00004891405,0.00030111914,0.00022314258,0.000016077507,0.00039546783],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011363049,0.00021321088,0.00030762376,0.00004039387,0.00022755332,0.00015478265,0.00014401597,0.00004165042,0.00010686215],"category_scores_gemma":[0.0001493944,0.0001585911,0.000074026815,0.00015918347,0.00019105026,0.0006380958,0.0002455488,0.00031424497,0.0000072246107],"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":[0.0005329361,0.002568286,0.8035437,0.000048400827,0.00008504965,0.00065414765,0.004107526,0.008720774,0.14018312,0.0000024732074,0.00033847574,0.039215103],"study_design_scores_gemma":[0.0005799114,0.0035584166,0.9808669,0.000017790333,0.000065215354,0.00012207161,0.0030600957,0.0064633125,0.0044187997,0.00004378903,0.0005679428,0.00023573099],"about_ca_topic_score_codex":0.0000568065,"about_ca_topic_score_gemma":0.0000020991667,"teacher_disagreement_score":0.17732322,"about_ca_system_score_codex":0.00014210324,"about_ca_system_score_gemma":0.000019196239,"threshold_uncertainty_score":0.64671576},"labels":[],"label_agreement":null},{"id":"W3020123149","doi":"10.3390/app10082832","title":"Multiplicative Structural Decomposition Analysis of Spatial Differences in Energy Intensity among G20 Countries","year":2020,"lang":"en","type":"article","venue":"Applied Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"Energy intensity; China; Energy consumption; Intensity (physics); Economics; Geography; Efficient energy use; Consumption (sociology); Energy conservation; Economic geography; Agricultural economics; Engineering","score_opus":0.010998562623211361,"score_gpt":0.24128857101168708,"score_spread":0.23029000838847571,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3020123149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973981,0.000008129416,0.0010631185,0.0002014921,0.000013954663,0.00011269102,0.000009176087,0.000012896762,0.0011804472],"genre_scores_gemma":[0.9994269,0.0000044102835,0.00029935717,0.00023845851,0.0000076106867,0.000010054684,0.000006915694,0.0000022678994,0.0000040192904],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987753,0.00003821735,0.00023897935,0.00037695226,0.00035611182,0.00021444872],"domain_scores_gemma":[0.9995736,0.00008922689,0.00012618133,0.00011108294,0.000004873682,0.00009505938],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017907508,0.00011850093,0.00027910536,0.00006453523,0.00013931011,0.000027513814,0.0002998014,0.000042201245,0.00040996075],"category_scores_gemma":[0.000029283827,0.00009316656,0.00005816793,0.0008818977,0.0018139319,0.00020913991,0.0001988723,0.00006644369,0.0000057832044],"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":[0.000037432303,0.000019317367,0.99025875,0.0000026108364,0.000015914124,6.7285487e-7,0.002001761,0.0030832016,0.0036076528,0.00035952334,0.000004365958,0.0006088198],"study_design_scores_gemma":[0.00010385696,0.000061058796,0.9515505,0.0000012567205,0.000035696055,1.09703734e-7,0.0013978689,0.038029373,0.008108677,0.0005984705,0.000006132628,0.00010701536],"about_ca_topic_score_codex":0.005027608,"about_ca_topic_score_gemma":0.0024255314,"teacher_disagreement_score":0.038708244,"about_ca_system_score_codex":0.00010490914,"about_ca_system_score_gemma":0.000008721194,"threshold_uncertainty_score":0.7600273},"labels":[],"label_agreement":null},{"id":"W3023039829","doi":"10.3390/su12093867","title":"Energy Related CO2 Emissions before and after the Financial Crisis","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Financial crisis; Divisia index; Energy intensity; Recession; Population; Greenhouse gas; China; Economics; Economy; Business; Economic policy; Financial system; Energy (signal processing); Geography; Macroeconomics; Demography","score_opus":0.0033389044999230727,"score_gpt":0.20949662320957427,"score_spread":0.2061577187096512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023039829","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9636274,0.00007347282,0.00022501862,0.03468328,0.00003172967,0.00034570074,0.000007912491,0.000055922872,0.0009495548],"genre_scores_gemma":[0.99680436,0.000009717372,0.0000514296,0.0025297473,0.00003049249,0.000060091457,0.0000040355717,0.000013995318,0.00049614965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832416,0.00019212363,0.00027431172,0.00050109084,0.00026476613,0.0004435438],"domain_scores_gemma":[0.9990864,0.000053069412,0.000054814456,0.0004349521,0.000021827862,0.0003489744],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034035853,0.00020450063,0.00018325052,0.000010271637,0.00033512467,0.00003845969,0.0002335946,0.00012715477,0.002230084],"category_scores_gemma":[0.00078885636,0.00013874342,0.00010225842,0.00030930678,0.0008180265,0.00024754624,0.00063694804,0.00025284712,0.000023087418],"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":[0.00021992683,0.00014348555,0.9711459,0.00005557244,0.00000924741,0.000046645135,0.009051734,0.0001507997,0.000037687165,0.00079581095,0.003510479,0.014832659],"study_design_scores_gemma":[0.00024967495,0.00017361209,0.9270369,0.0000014119626,0.000023663833,0.000006289009,0.0037475275,0.0007825299,0.00008388464,0.0429969,0.02470096,0.0001966861],"about_ca_topic_score_codex":0.00057514705,"about_ca_topic_score_gemma":0.00021590579,"teacher_disagreement_score":0.04410909,"about_ca_system_score_codex":0.00070917996,"about_ca_system_score_gemma":0.00005659693,"threshold_uncertainty_score":0.998682},"labels":[],"label_agreement":null},{"id":"W3023880899","doi":"10.1111/jiec.13010","title":"Rethinking environmental LCA life stages for transport infrastructure to facilitate holistic assessment","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Industrial ecology; Life-cycle assessment; Demolition; Product (mathematics); Land use; Product life-cycle management; Environmental impact assessment; Business; Environmental economics; Process (computing); Clearing; Environmental resource management; Environmental planning; Production (economics); Environmental science; Computer science; Sustainability; Engineering; Civil engineering; Economics","score_opus":0.08160649719387517,"score_gpt":0.28879904598203243,"score_spread":0.20719254878815727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3023880899","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9908266,0.000009376496,0.0023453175,0.0054222546,0.00042369074,0.0006143236,0.00010489088,0.000010462303,0.00024308437],"genre_scores_gemma":[0.99401814,0.000011449982,0.0029248844,0.0025673127,0.00034163773,0.000011604585,0.000010574178,0.000018961753,0.00009545303],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979842,0.00014961985,0.0007523311,0.0002838319,0.00040227087,0.0004277867],"domain_scores_gemma":[0.9986392,0.00018478584,0.0003579284,0.0001420514,0.000008202747,0.0006677946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00073207164,0.00022315352,0.00047611905,0.000049209462,0.00014909315,0.000021729487,0.00037534055,0.00026356475,0.0030786316],"category_scores_gemma":[0.0005465551,0.00019382303,0.00019988399,0.00012621528,0.00022011138,0.00028480994,0.00013223139,0.000645337,0.00002763409],"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":[0.00082625344,0.00017080487,0.94797444,0.000015361242,0.00008360425,0.00006988884,0.0043291138,0.023845514,0.006920641,0.00002680375,0.009825637,0.005911959],"study_design_scores_gemma":[0.0034091303,0.0041873385,0.95284057,0.000010563232,0.00012127547,0.000033788154,0.0019139606,0.00027272792,0.00044388606,0.001646799,0.03475863,0.00036131407],"about_ca_topic_score_codex":0.000025520441,"about_ca_topic_score_gemma":0.000019441413,"teacher_disagreement_score":0.024932995,"about_ca_system_score_codex":0.0010281863,"about_ca_system_score_gemma":0.00013230159,"threshold_uncertainty_score":0.9978327},"labels":[],"label_agreement":null},{"id":"W3025142841","doi":"10.1007/s42398-020-00105-1","title":"Two decades of eco-efficiency research: a bibliometric analysis","year":2020,"lang":"en","type":"article","venue":"Environmental Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Global Affairs Canada","keywords":"Data envelopment analysis; Sustainability; Resource efficiency; Eco-efficiency; Resource (disambiguation); Environmental economics; Bibliometrics; Bibliographic coupling; Computer science; Management science; Economics; Mathematics; Library science","score_opus":0.03503633689611895,"score_gpt":0.3363465299615412,"score_spread":0.3013101930654222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3025142841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9917705,0.00020264242,0.0010683729,0.0009213572,0.000023524177,0.0010496046,0.00005350448,0.00006218301,0.0048482916],"genre_scores_gemma":[0.998679,0.00004836919,0.0006504062,0.00019343085,0.00003535751,0.000055118584,0.000027371929,0.00003194261,0.0002790008],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.994359,0.00075757894,0.00081530743,0.0011931296,0.001744445,0.0011305239],"domain_scores_gemma":[0.9976624,0.00035568728,0.00021301983,0.000985841,0.000020592428,0.0007624126],"candidate_categories":["metaepi_narrow","bibliometrics","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00243874,0.0003830494,0.0006235625,0.005821938,0.00037719458,0.00005249606,0.00090805546,0.0001521546,0.010764894],"category_scores_gemma":[0.0011426839,0.00036296668,0.00048722074,0.07996321,0.0027811865,0.00058341457,0.001573031,0.0005692094,0.0002974569],"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":[0.00011929666,0.0010017186,0.9792144,0.000056212903,0.00009633425,0.000021198488,0.0016722573,0.006783556,0.0025294926,0.0000850297,0.00019819156,0.0082223285],"study_design_scores_gemma":[0.00062454375,0.0005133704,0.9804516,0.000001545249,0.00015555014,0.000001935852,0.006127177,0.0023915977,0.004721856,0.0019359505,0.0026993856,0.0003755325],"about_ca_topic_score_codex":0.0010777689,"about_ca_topic_score_gemma":0.00003606596,"teacher_disagreement_score":0.074141264,"about_ca_system_score_codex":0.0025700978,"about_ca_system_score_gemma":0.00004787122,"threshold_uncertainty_score":0.99993265},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"observational","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"agree"},{"id":"W3027258005","doi":"10.1111/jiec.13012","title":"Methodological review and detailed guidance for the life cycle interpretation phase","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":190,"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; University of Alberta","funders":"","keywords":"Interpretation (philosophy); Phase (matter); Industrial ecology; Management science; Computer science; Economics; Chemistry; Biology; Sustainability; Ecology","score_opus":0.14967402991488357,"score_gpt":0.3804821717468091,"score_spread":0.23080814183192552,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027258005","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.91934144,0.0031796186,0.009682373,0.06619524,0.00029715706,0.0010398418,0.000007907637,0.000007666966,0.00024873446],"genre_scores_gemma":[0.98839766,0.0005938912,0.001465352,0.00931851,0.00018667155,0.000012625292,5.6437005e-7,0.0000049631435,0.00001975952],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99884146,0.00038110264,0.00043014443,0.00010971209,0.00009707972,0.000140496],"domain_scores_gemma":[0.9985197,0.00090747356,0.00033155768,0.000068134774,0.000011470511,0.00016161623],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017321002,0.00007947374,0.00030769737,0.000007803085,0.00007785918,0.000011315042,0.00017898469,0.00009429008,0.0011428904],"category_scores_gemma":[0.007551017,0.000046879843,0.00009445216,0.00007852682,0.00020741638,0.00014322913,0.000094165145,0.00025303665,0.000007141421],"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":[0.008450421,0.0011108848,0.25764883,0.00038015857,0.0005742735,0.00007368784,0.0026435158,0.007723579,0.007427043,0.00020193367,0.1407404,0.5730253],"study_design_scores_gemma":[0.049673095,0.042136036,0.52182305,0.0004434316,0.005376563,0.0006650995,0.005230709,0.046593264,0.0035034812,0.01001196,0.31278646,0.0017568842],"about_ca_topic_score_codex":0.0000035157213,"about_ca_topic_score_gemma":0.0000051932357,"teacher_disagreement_score":0.5712684,"about_ca_system_score_codex":0.00008941449,"about_ca_system_score_gemma":0.000028082606,"threshold_uncertainty_score":0.9997702},"labels":[{"model":"gemma","categories":[],"domain":null,"study_design":"not_applicable","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"methods","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W3027260550","doi":"10.1016/j.scitotenv.2020.139583","title":"Two-pathway perspective for heavy metal emission mitigation: A case study of Guangdong Province, China","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Investment (military); China; Environmental science; Heavy metals; Natural resource economics; Production (economics); Environmental engineering; Environmental protection; Business; Environmental chemistry; Chemistry; Geography; Economics","score_opus":0.01238089133008458,"score_gpt":0.25281406497620984,"score_spread":0.24043317364612526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3027260550","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949016,0.000028204324,0.000060768016,0.0015124177,0.00005479247,0.0019654382,0.000016546996,0.000010311329,0.001449905],"genre_scores_gemma":[0.999164,0.000001646301,0.00032566162,0.000032278782,0.000024818213,0.000045583893,3.8882328e-7,0.000011985505,0.0003936619],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9977968,0.00014023132,0.00034900752,0.00048643112,0.000891767,0.000335792],"domain_scores_gemma":[0.99886245,0.0000527043,0.00026026648,0.0006464475,0.000007045243,0.00017106789],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00090424623,0.00019660943,0.00022829059,0.000019447882,0.00058844883,0.000020035837,0.00075136824,0.00002774514,0.00025239764],"category_scores_gemma":[0.00014062806,0.00011195906,0.00015441506,0.0003412009,0.0024401792,0.00034166832,0.0010856172,0.00014940582,0.000009795041],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005433116,0.0041909395,0.011280785,0.00007798787,0.00010685792,0.00006796996,0.09711235,0.2652302,0.6164471,0.0010491402,0.00013229242,0.0037610189],"study_design_scores_gemma":[0.0037823352,0.0055913567,0.15764676,0.000032475466,0.00032182556,0.00040793532,0.23934288,0.033415522,0.5552604,0.0032824855,0.00009119144,0.0008247804],"about_ca_topic_score_codex":0.0011228565,"about_ca_topic_score_gemma":0.0000104421115,"teacher_disagreement_score":0.2318147,"about_ca_system_score_codex":0.0005680384,"about_ca_system_score_gemma":0.000051183943,"threshold_uncertainty_score":0.8990942},"labels":[],"label_agreement":null},{"id":"W3028822835","doi":"10.1177/0015732520920769","title":"The Drivers of Greenhouse Gas Emissions Intensity Improvements in Major Economies: Analysis of Trends 1995–2009","year":2020,"lang":"en","type":"article","venue":"Foreign Trade Review","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Statistics Canada; Environment and Climate Change Canada","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Production (economics); Economics; Environmental science; Natural resource economics; Emission intensity; Agricultural economics; Macroeconomics","score_opus":0.016333411801063583,"score_gpt":0.25062979155470666,"score_spread":0.2342963797536431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3028822835","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98426807,0.0056479676,0.000032600503,0.0033113186,0.000016648719,0.00066427735,0.00009412384,0.000017202621,0.0059477626],"genre_scores_gemma":[0.9883098,0.010971125,0.00009183942,0.0005233619,0.0000037090344,0.0000109011335,0.000017555196,0.0000075626203,0.00006411737],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987045,0.00007673584,0.00055924465,0.00024516438,0.00018841053,0.0002259659],"domain_scores_gemma":[0.9992241,0.000046194153,0.0002305152,0.00035015226,0.0000023774287,0.00014663828],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034285994,0.00014344249,0.00054380426,0.000042297797,0.000057329256,0.0000049245805,0.00032031204,0.00004064852,0.0014714594],"category_scores_gemma":[0.00006790056,0.000098170945,0.00033525313,0.00086605136,0.00029221832,0.00012421212,0.00014725137,0.000115753806,0.000008850913],"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":[0.00008638602,0.0004349929,0.83786106,0.00086996873,0.00052898977,0.0000094100305,0.0015090577,0.0005317157,0.0014875049,0.00028337483,0.004140327,0.15225719],"study_design_scores_gemma":[0.00071610283,0.00044497108,0.96946466,0.00023566226,0.0014249472,0.0000013496269,0.0012898921,0.0024930933,0.0014406951,0.0004962913,0.021655345,0.0003370003],"about_ca_topic_score_codex":0.00027431225,"about_ca_topic_score_gemma":0.00014220826,"teacher_disagreement_score":0.1519202,"about_ca_system_score_codex":0.00018368423,"about_ca_system_score_gemma":0.000008849597,"threshold_uncertainty_score":0.9994413},"labels":[],"label_agreement":null},{"id":"W3033276866","doi":"","title":"Coal regions in transition: the RHOMOLO-IO indirect jobs estimates","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":"Coal; Electricity; Quarter (Canadian coin); Production (economics); Energy transition; Environmental economics; Order (exchange); Business; Coal mining; Commission; European commission; Natural resource economics; Economics; European union; Engineering; Waste management; International trade; Geography; Microeconomics","score_opus":0.025028221561626148,"score_gpt":0.2982961721542513,"score_spread":0.27326795059262515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033276866","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92483026,0.000072392046,0.0000055080695,0.0016125417,0.00015763415,0.001283393,0.00003374989,0.000022991393,0.07198155],"genre_scores_gemma":[0.99583036,0.0018672036,0.00019098156,0.00016674335,0.000046479556,0.00022673966,0.000047133406,0.000040156596,0.0015842067],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99693185,0.0004458416,0.0005167221,0.0008763818,0.00034524212,0.0008839361],"domain_scores_gemma":[0.9979583,0.0005789265,0.00010660356,0.0011889857,0.0000061746655,0.00016099881],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0022556186,0.0003168451,0.00044746173,0.00015585218,0.00019615545,0.00011183305,0.0009102689,0.0003951169,0.00094946416],"category_scores_gemma":[0.00022801514,0.0002724843,0.00017067806,0.00015942767,0.0012326291,0.00018493088,0.00141605,0.0019920184,0.00012385013],"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":[0.00014645742,0.000453509,0.717579,0.0001226969,0.000040697152,0.00009508974,0.004135384,0.24463162,0.00012205502,0.0000623729,0.00025332315,0.0323578],"study_design_scores_gemma":[0.00073281577,0.00015178535,0.96101785,0.00013230027,0.000012124691,0.000029332337,0.0035325943,0.018324895,0.00030705053,0.008243207,0.006890993,0.0006250598],"about_ca_topic_score_codex":0.0013061435,"about_ca_topic_score_gemma":0.0024956726,"teacher_disagreement_score":0.24343884,"about_ca_system_score_codex":0.0034459897,"about_ca_system_score_gemma":0.00015223792,"threshold_uncertainty_score":0.99997276},"labels":[],"label_agreement":null},{"id":"W3033721316","doi":"10.1111/jiec.13018","title":"LC‐IMPACT: A regionalized life cycle damage assessment method","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":235,"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":"Life-cycle assessment; Impact assessment; Environmental science; Human health; Environmental resource management; Reliability (semiconductor); Scale (ratio); Industrial ecology; Environmental impact assessment; Environmental economics; Computer science; Geography; Ecology; Environmental health; Cartography; Economics; Biology; Production (economics)","score_opus":0.043227842061342815,"score_gpt":0.34188335041743223,"score_spread":0.2986555083560894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3033721316","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818227,0.000011102784,0.0013764084,0.012932181,0.0002632375,0.00024030202,0.000006773702,0.000011041525,0.0033362058],"genre_scores_gemma":[0.991281,0.000012639494,0.00535801,0.0027861202,0.0004487232,0.0000034262382,0.0000027307606,0.000015362308,0.00009201706],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977935,0.0005531555,0.0006834439,0.00020515782,0.00040792246,0.00035681357],"domain_scores_gemma":[0.9983158,0.0002605029,0.00057375943,0.00015808435,0.000016778233,0.0006750449],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012610535,0.00017775144,0.0005032247,0.000043331,0.00010052925,0.000031228297,0.00037350663,0.0002453367,0.012846584],"category_scores_gemma":[0.0011689538,0.00013825265,0.00026503156,0.00024638805,0.00020088445,0.00036512825,0.00024416548,0.0007355869,0.0000994277],"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":[0.0010600854,0.0005689805,0.90103585,0.0000065079744,0.00018537644,0.00029258314,0.0007427244,0.02033082,0.0051476993,0.00009036435,0.059209507,0.011329486],"study_design_scores_gemma":[0.009756212,0.005162925,0.9285673,0.0000137220395,0.00019542384,0.00021880284,0.001601906,0.0067080697,0.0006110843,0.0021626165,0.04448902,0.0005129246],"about_ca_topic_score_codex":0.00012414566,"about_ca_topic_score_gemma":0.000014740549,"teacher_disagreement_score":0.02753143,"about_ca_system_score_codex":0.000978431,"about_ca_system_score_gemma":0.00027088702,"threshold_uncertainty_score":0.9880558},"labels":[],"label_agreement":null},{"id":"W3034305022","doi":"10.3390/f11060657","title":"Wood Productions and Renewable Materials: The Future Is Now","year":2020,"lang":"en","type":"article","venue":"Forests","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"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 Laval; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Renewable energy; Work (physics); Climate change; Renewable resource; Business; Environmental science; Architectural engineering; Engineering; Ecology","score_opus":0.007566930406201294,"score_gpt":0.21468501565551815,"score_spread":0.20711808524931685,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3034305022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97656107,0.000069394955,0.000015708285,0.021780843,0.00008392632,0.000213097,0.000011687082,0.000022276066,0.0012419896],"genre_scores_gemma":[0.99720865,0.000033923825,0.0001241205,0.0010369549,0.00019361344,0.000013704719,0.0000035325006,0.0000074312497,0.0013780684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99941957,0.000027410919,0.0000795522,0.0001996688,0.000116185656,0.00015759406],"domain_scores_gemma":[0.999693,0.0000064530795,0.000023633498,0.00018630561,0.000001314361,0.000089312234],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0000896431,0.00007818506,0.00006524958,0.000003338656,0.00016464805,0.000036163117,0.00011161831,0.00003201141,0.0023109154],"category_scores_gemma":[0.000018533836,0.000050231294,0.000017477383,0.00008889997,0.00017483617,0.00015615913,0.00016920072,0.000053383395,0.00021810214],"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":[0.00006443877,0.00010601479,0.76718825,0.000045852215,0.000017797123,0.000007932225,0.0073244423,0.0003935756,0.026431005,0.00009178564,0.19440624,0.003922658],"study_design_scores_gemma":[0.00013774005,0.00008690539,0.7745531,0.000001765311,0.000011305638,0.0000081489925,0.000773439,0.00006059432,0.016655868,0.001573078,0.20602338,0.00011466288],"about_ca_topic_score_codex":0.00012228767,"about_ca_topic_score_gemma":0.0005003063,"teacher_disagreement_score":0.020743888,"about_ca_system_score_codex":0.00004344424,"about_ca_system_score_gemma":0.0000035285773,"threshold_uncertainty_score":0.9986011},"labels":[],"label_agreement":null},{"id":"W3035576926","doi":"10.1007/s11367-020-01762-4","title":"Primary data priorities for the life cycle inventory of construction products: focus on foreground processes","year":2020,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Life-cycle assessment; Environmental science; Work (physics); Environmental economics; Production (economics); Fossil fuel; Business; Environmental resource management; Natural resource economics; Computer science; Waste management; Engineering; Economics","score_opus":0.039167910871471805,"score_gpt":0.3056745971749448,"score_spread":0.26650668630347296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035576926","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94704145,0.00035750848,0.0028707043,0.047275204,0.00046392492,0.0005709803,0.000074680254,0.000010229252,0.0013353318],"genre_scores_gemma":[0.99601984,0.00017139944,0.0016102752,0.0016496036,0.00048805843,0.000011653238,0.000008996698,0.000012307285,0.000027838729],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981535,0.00007502139,0.0005151831,0.00018655477,0.00092268945,0.00014703153],"domain_scores_gemma":[0.99857074,0.00035072048,0.00056933484,0.00031156553,0.00008957911,0.000108036285],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000821381,0.00012561843,0.00018769992,0.000023173396,0.00012192078,0.00006782188,0.0013400832,0.000029476032,0.000148007],"category_scores_gemma":[0.0008527997,0.000073885305,0.00007208452,0.00010264594,0.00040223805,0.00060023,0.000463294,0.00019674613,0.0000035493847],"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":[0.0064119776,0.0028853957,0.7090935,0.000993681,0.0032860267,0.0000376572,0.008688948,0.07826016,0.00994099,0.0073604314,0.042410742,0.13063051],"study_design_scores_gemma":[0.004372766,0.0020765527,0.9083777,0.00018324313,0.00042423417,0.00009984704,0.014876697,0.018459748,0.00436728,0.020755282,0.025439018,0.00056760886],"about_ca_topic_score_codex":0.0000660648,"about_ca_topic_score_gemma":0.00001404135,"teacher_disagreement_score":0.19928424,"about_ca_system_score_codex":0.00032577576,"about_ca_system_score_gemma":0.00032981116,"threshold_uncertainty_score":0.30129552},"labels":[],"label_agreement":null},{"id":"W3035723385","doi":"10.1111/jiec.13040","title":"Transforming the coal and steel nexus for China's eco‐civilization: Interplay between rail and energy infrastructure","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Coal; Nexus (standard); Renewable energy; Natural resource economics; China; Fossil fuel; Material flow analysis; Business; Clean coal; Economy; Engineering; Waste management; Economics; Geography","score_opus":0.014562421365253686,"score_gpt":0.24982786335888835,"score_spread":0.23526544199363467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3035723385","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915783,0.000048133657,0.0018032078,0.006002404,0.00017332444,0.0001500384,0.000012204663,0.0000032745459,0.00022915991],"genre_scores_gemma":[0.9988097,0.00004101325,0.00010293668,0.0005969382,0.00039430746,0.000002934327,0.000002250689,0.000007693065,0.000042246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991333,0.00009812939,0.00034424884,0.00012603517,0.00011329167,0.00018500391],"domain_scores_gemma":[0.9993852,0.00018926233,0.00019477797,0.000054118587,0.000007271608,0.00016938058],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034543956,0.00011324583,0.0002474771,0.000024785655,0.00014895556,0.000031633495,0.00014768812,0.00017363287,0.00030347874],"category_scores_gemma":[0.00020682962,0.00007520331,0.000055401015,0.00008350286,0.00028857673,0.00024927058,0.00009583203,0.00028472647,4.888354e-7],"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":[0.0005871785,0.000040611,0.9000925,0.00001581695,0.0000899424,0.0000147677965,0.0031424179,0.0029999653,0.0010263997,0.00024882695,0.00419196,0.087549634],"study_design_scores_gemma":[0.005881092,0.003972893,0.8442461,0.000018816236,0.00019949413,0.00021706645,0.0035066893,0.0012350215,0.0012720083,0.004822535,0.13431047,0.00031783842],"about_ca_topic_score_codex":0.000020145724,"about_ca_topic_score_gemma":0.000058022266,"teacher_disagreement_score":0.13011852,"about_ca_system_score_codex":0.000121633646,"about_ca_system_score_gemma":0.000033471995,"threshold_uncertainty_score":0.33228794},"labels":[],"label_agreement":null},{"id":"W3036079177","doi":"10.3390/su12124924","title":"New Policies and Evaluation System Needed to Address Environmental Concerns in China","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","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":"Dalhousie University","funders":"","keywords":"China; Christian ministry; Government (linguistics); Production (economics); Renewable energy; Business; Gross domestic product; Air pollution; Natural resource economics; Environmental pollution; Environmental impact assessment; Environmental planning; Environmental economics; Environmental protection; Economic growth; Environmental resource management; Economics; Environmental science; Engineering; Geography; Political science","score_opus":0.013559089822701027,"score_gpt":0.2802247268530502,"score_spread":0.2666656370303492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036079177","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886188,0.000053775617,0.000206957,0.007129528,0.000035711142,0.0019835036,0.000015886426,0.000059759015,0.0018960977],"genre_scores_gemma":[0.9988823,0.0000031025763,0.00018723753,0.0006052751,0.000058325008,0.00007098297,0.000009589888,0.000018458915,0.00016470675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976075,0.00028895526,0.00036373845,0.00065138924,0.0005534232,0.00053497165],"domain_scores_gemma":[0.99888337,0.000043052394,0.00006572125,0.000367397,0.000008222729,0.0006322145],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074689323,0.00025521024,0.00028534693,0.000040208404,0.00013134598,0.000053188207,0.00023913961,0.00009922939,0.0011661042],"category_scores_gemma":[0.00044138,0.0002503782,0.00005930256,0.00032675595,0.0002723288,0.00036964554,0.00057983835,0.00019173822,0.0000634317],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019138493,0.00010773041,0.95738983,0.00012019469,0.0000069391394,0.000013300813,0.018731097,0.0048145703,0.0011609611,0.00019653712,0.001007596,0.016259883],"study_design_scores_gemma":[0.0008220494,0.00022078627,0.96810895,0.000006273804,0.000018668825,0.0000032898365,0.02474503,0.002978194,0.00071882276,0.00081038097,0.0012833783,0.00028419067],"about_ca_topic_score_codex":0.00930343,"about_ca_topic_score_gemma":0.00023486275,"teacher_disagreement_score":0.015975693,"about_ca_system_score_codex":0.005329833,"about_ca_system_score_gemma":0.00008807663,"threshold_uncertainty_score":0.9999949},"labels":[],"label_agreement":null},{"id":"W3036527843","doi":"10.1111/jiec.13023","title":"Linking service provision to material cycles: A new framework for studying the resource efficiency–climate change (RECC) nexus","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":70,"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":"Israel Science Foundation","keywords":"Resource efficiency; Nexus (standard); Industrial ecology; Material flow analysis; Material efficiency; Environmental economics; Material flow; Life-cycle assessment; Efficient energy use; Greenhouse gas; Business; Sustainability; Environmental resource management; Production (economics); Environmental science; Computer science; Engineering; Economics","score_opus":0.0792801132951001,"score_gpt":0.2978539149846378,"score_spread":0.21857380168953772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3036527843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9689842,0.000012608236,0.00096187403,0.02802026,0.00069373485,0.0011858349,0.000008853913,0.000014175916,0.00011848565],"genre_scores_gemma":[0.9875207,0.0000062936697,0.001866077,0.008025372,0.0025264258,0.000021113477,0.0000018679447,0.000022800743,0.000009332821],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99816036,0.00020864473,0.0005731139,0.00024517096,0.0003181772,0.00049452845],"domain_scores_gemma":[0.9986746,0.00036495956,0.00042352345,0.0001728172,0.000013087847,0.00035103454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011289411,0.00017735295,0.0003403873,0.000037558064,0.0002910415,0.00007715507,0.0005810447,0.00025990998,0.00039718242],"category_scores_gemma":[0.000806311,0.0001223583,0.00011394989,0.00034329592,0.00007884459,0.00022788525,0.0004750748,0.0005234434,0.000042440177],"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":[0.014582328,0.0012781786,0.3388154,0.00013501718,0.0001758813,0.00019019071,0.100543894,0.030052988,0.00968704,0.00042073123,0.015725993,0.48839235],"study_design_scores_gemma":[0.028282458,0.051126204,0.39638662,0.0011723523,0.0012047519,0.0005262696,0.09683453,0.010046473,0.013122133,0.019418634,0.37817317,0.0037063896],"about_ca_topic_score_codex":0.00007773488,"about_ca_topic_score_gemma":0.00004217994,"teacher_disagreement_score":0.48468596,"about_ca_system_score_codex":0.00037885745,"about_ca_system_score_gemma":0.000061920095,"threshold_uncertainty_score":0.49896267},"labels":[],"label_agreement":null},{"id":"W3037425605","doi":"10.1007/s10668-020-00834-7","title":"(De)coupling and (De)carbonizing in the economies and energy systems of the G20","year":2020,"lang":"en","type":"article","venue":"Environment Development and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Restructuring; Energy (signal processing); Energy consumption; Jurisdiction; Carbonization; Production (economics); Energy supply; Natural resource economics; Energy system; Economy; Business; Low-carbon economy; Environmental science; Economics; Greenhouse gas; Engineering; Microeconomics; Chemistry; Finance; Ecology","score_opus":0.008162297260228794,"score_gpt":0.19024617070091096,"score_spread":0.18208387344068216,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3037425605","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961871,0.0005070333,0.00016392212,0.002410653,0.000013128333,0.00031963876,0.0000013710941,0.0000075767193,0.00038958405],"genre_scores_gemma":[0.99914527,0.00011896141,0.00016380311,0.0003666069,0.000011959302,0.000046969926,0.0000010287649,0.000009401682,0.000135988],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985543,0.00016073306,0.00033719544,0.00037614655,0.00020235512,0.00036930756],"domain_scores_gemma":[0.99939674,0.00015204732,0.00008963279,0.00022764236,0.0000020225546,0.00013189799],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010773131,0.00019320335,0.00021436592,0.000016598111,0.00022822952,0.00005761382,0.00019720357,0.00007657032,0.000033839962],"category_scores_gemma":[0.0001220566,0.00013106101,0.00003016851,0.00008872011,0.0007199084,0.00015731223,0.000534737,0.00016339403,5.713343e-7],"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":[0.000021761236,0.000050208186,0.98328507,0.000112546855,0.0000064641968,0.000004157442,0.011570669,0.0020259388,0.00007518184,0.00037625234,0.0000147963165,0.0024569393],"study_design_scores_gemma":[0.00026195275,0.000042793454,0.9750563,0.000007373279,0.000010776348,0.000006590212,0.013660445,0.004310278,0.00020756,0.0010906184,0.0051801433,0.00016519047],"about_ca_topic_score_codex":0.0004906779,"about_ca_topic_score_gemma":0.00002887804,"teacher_disagreement_score":0.008228807,"about_ca_system_score_codex":0.0006646706,"about_ca_system_score_gemma":0.000043537686,"threshold_uncertainty_score":0.5344513},"labels":[],"label_agreement":null},{"id":"W3040176171","doi":"10.1007/s11367-020-01785-x","title":"Prioritizing regionalization to enhance interpretation in consequential life cycle assessment: application to alternative transportation scenarios using partial equilibrium economic modeling","year":2020,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"IFP Energies Nouvelles; Hydro-Québec","keywords":"Life-cycle assessment; Partial equilibrium; Scenario analysis; Environmental economics; Uncertainty analysis; Inventory analysis; Computer science; Operations research; Risk analysis (engineering); Economics; Production (economics); Engineering; General equilibrium theory; Business; Simulation; Microeconomics","score_opus":0.019911672533297356,"score_gpt":0.3380872460254721,"score_spread":0.31817557349217473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040176171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.66789716,0.000007589756,0.32479626,0.0065989546,0.00020890766,0.00037352002,0.000011988147,0.000008778098,0.00009683301],"genre_scores_gemma":[0.99136436,0.000011957398,0.0056543592,0.0025779472,0.00032108393,0.000026350634,0.00001951863,0.00002146149,0.0000029531013],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99758273,0.00016686808,0.00092094776,0.0003240831,0.00077178224,0.00023360564],"domain_scores_gemma":[0.9989242,0.0000792137,0.00046745234,0.0001471954,0.00006550795,0.00031644318],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007261092,0.00018204075,0.0002450333,0.00009623446,0.00008106984,0.00012672765,0.0005781066,0.000049498107,0.00013987257],"category_scores_gemma":[0.00011499757,0.0001696011,0.00010691002,0.00016122403,0.00006317352,0.000838028,0.00013625788,0.00024450116,0.000022967268],"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":[0.0003300005,0.00009679809,0.016179234,0.000006660665,0.00004998118,0.000008578211,0.002385916,0.9580999,0.020426523,0.0001586724,0.000028892087,0.0022288125],"study_design_scores_gemma":[0.0005141956,0.0001397044,0.0317331,0.000049804064,0.000026860655,0.000005831186,0.0009974316,0.964752,0.0007727258,0.0007369666,0.00009637588,0.0001749994],"about_ca_topic_score_codex":0.00084055366,"about_ca_topic_score_gemma":0.00018960255,"teacher_disagreement_score":0.3234672,"about_ca_system_score_codex":0.0019763948,"about_ca_system_score_gemma":0.00024056585,"threshold_uncertainty_score":0.6916132},"labels":[],"label_agreement":null},{"id":"W3040972990","doi":"","title":"ESTUDIO DEL MERCADO DE LOS PERMISOS DE EMISION TRANSABLES: ESTADOS UNIDOS Y CANADA","year":2016,"lang":"es","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Geography; Political science; Art","score_opus":0.005588177224264198,"score_gpt":0.2299586705748953,"score_spread":0.2243704933506311,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3040972990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9836581,0.00021795597,0.004987422,0.0028346737,0.000084958585,0.0005543343,0.00011191139,0.000046782276,0.0075038807],"genre_scores_gemma":[0.9872432,0.00074568175,0.0006930469,0.0010472855,0.000052576284,0.000025014095,0.0000033509518,0.000046907793,0.010142978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99659026,0.0002565186,0.00044797652,0.0006746145,0.000699678,0.0013309834],"domain_scores_gemma":[0.9981645,0.00022265177,0.000094162824,0.00066420744,0.000010508888,0.0008439827],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000591246,0.00046509627,0.000358978,0.000033965913,0.0003541434,0.000062847466,0.0005717456,0.00023284914,0.009799304],"category_scores_gemma":[0.00013531627,0.00032441365,0.00015395244,0.0002008018,0.00062991667,0.00042398323,0.00020712554,0.00023163615,0.00016698323],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007937402,0.00036102723,0.8913019,0.00009561845,0.000043355245,0.00012450136,0.00064727885,0.00037469467,0.05350493,0.00020207759,0.0042617517,0.04900355],"study_design_scores_gemma":[0.0013153619,0.000245641,0.92958784,0.0001588978,0.00010365662,0.000051873198,0.0028499367,0.00081565086,0.044961575,0.00042320348,0.018658638,0.0008277116],"about_ca_topic_score_codex":0.5369585,"about_ca_topic_score_gemma":0.28384346,"teacher_disagreement_score":0.25311506,"about_ca_system_score_codex":0.0073592192,"about_ca_system_score_gemma":0.0006454766,"threshold_uncertainty_score":0.9999208},"labels":[],"label_agreement":null},{"id":"W3041573605","doi":"10.1016/j.scitotenv.2020.140700","title":"Addressing temporal considerations in life cycle assessment","year":2020,"lang":"en","type":"review","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":134,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"IFP Energies Nouvelles; Eidgenössische Materialprüfungs- und Forschungsanstalt; Agence Nationale de la Recherche","keywords":"Scope (computer science); Representativeness heuristic; Life-cycle assessment; Computer science; Risk analysis (engineering); Glossary; Environmental resource management; Management science; Data science; Environmental science; Engineering; Production (economics); Business","score_opus":0.05780349773065236,"score_gpt":0.33638070734981074,"score_spread":0.2785772096191584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3041573605","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.039039887,0.93395764,0.000041657015,0.0043154247,0.00067520345,0.0064801537,0.000115256466,0.000057602956,0.015317174],"genre_scores_gemma":[0.4101874,0.5874227,0.0011609395,0.00015429761,0.00007936963,0.00021684337,0.0000074831696,0.00006983797,0.00070111355],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962722,0.00043232038,0.0008061019,0.0006713248,0.0012601971,0.0005578239],"domain_scores_gemma":[0.9979025,0.00016737272,0.00052326865,0.0011650361,0.0000021235119,0.00023970765],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015187692,0.00040909703,0.00080790906,0.00005409267,0.0005920625,0.0000853928,0.0012791443,0.00010979163,0.00197361],"category_scores_gemma":[0.00023037173,0.00022473342,0.00036809876,0.0006037309,0.0046070428,0.00033365938,0.002553328,0.0006424151,0.00019374918],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000026667762,0.002415817,0.0016649095,0.0030099838,0.00021921648,0.00007556805,0.0050791204,0.30963644,0.0010671656,0.0016487406,0.0013461567,0.6738102],"study_design_scores_gemma":[0.0038151417,0.0014704127,0.24867249,0.010668567,0.0036199219,0.00059544167,0.0063951476,0.036892936,0.00082313764,0.023574596,0.65508986,0.008382337],"about_ca_topic_score_codex":0.0002441448,"about_ca_topic_score_gemma":0.0000060130114,"teacher_disagreement_score":0.66542786,"about_ca_system_score_codex":0.001974289,"about_ca_system_score_gemma":0.0003324414,"threshold_uncertainty_score":0.99893874},"labels":[],"label_agreement":null},{"id":"W3042394796","doi":"10.3390/ijerph17145065","title":"Spatiotemporal Evolution of Global Greenhouse Gas Emissions Transferring via Trade: Influencing Factors and Policy Implications","year":2020,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Greenhouse gas; Spillover effect; Natural resource economics; Climate change; Economics; International trade; Business; Environmental governance; Econometric model; Corporate governance; International economics; Ecology; Macroeconomics","score_opus":0.0566616408801932,"score_gpt":0.37377986180328104,"score_spread":0.31711822092308783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042394796","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97079664,0.00023293214,0.001608954,0.026902292,0.000022839004,0.00017703694,0.000104452476,0.000005513764,0.0001493359],"genre_scores_gemma":[0.99880904,0.00058788527,0.0002550575,0.00025368656,0.00007133824,0.0000020292043,0.0000073697447,0.000009007802,0.000004566985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978145,0.00019418373,0.0005287301,0.00021129695,0.0008747441,0.00037655068],"domain_scores_gemma":[0.9986517,0.000089086054,0.00019190225,0.00010183652,0.000012263025,0.0009532134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007464678,0.00012683409,0.00019804994,0.000095178766,0.00018796767,0.00004721762,0.00030991048,0.000060207567,0.0002064294],"category_scores_gemma":[0.00023011476,0.00010826071,0.000063361986,0.00023207355,0.00063727476,0.00063893595,0.0002369121,0.000317746,0.0000024885073],"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":[0.000051830597,0.0003299353,0.9512961,0.0000148453155,0.000029550878,0.0000040258856,0.0015209045,0.000027623197,0.0063059884,0.00033683132,0.0000663979,0.040015996],"study_design_scores_gemma":[0.00045887905,0.00072059024,0.9930976,0.000013114108,0.0000026392877,0.000050343428,0.0020949594,0.00014496343,0.0002015144,0.0019925945,0.0011457333,0.00007704925],"about_ca_topic_score_codex":0.0015216301,"about_ca_topic_score_gemma":0.0000995054,"teacher_disagreement_score":0.04180155,"about_ca_system_score_codex":0.0021253661,"about_ca_system_score_gemma":0.00020209423,"threshold_uncertainty_score":0.5557759},"labels":[],"label_agreement":null},{"id":"W3042787667","doi":"","title":"Progress Analysis of Montreal Process Criteria and Indicators for Sustainable Forest Management in Terms of Data Availability and Applicability","year":2001,"lang":"en","type":"article","venue":"Journal of Korean Society of Forest Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Process (computing); Environmental resource management; Sustainable forest management; Forest management; Business; Computer science; Environmental science; Risk analysis (engineering); Agroforestry","score_opus":0.012080767248165073,"score_gpt":0.30623674660229583,"score_spread":0.29415597935413074,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042787667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99833846,0.00005916483,0.0006129538,0.000098023775,0.00000668785,0.0005894973,0.000026230942,0.000002276034,0.00026671527],"genre_scores_gemma":[0.9940197,0.000117473406,0.005808624,0.0000122120755,0.000005322178,0.000008261352,0.0000042165248,0.0000051030784,0.000019112247],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777126,0.00003735536,0.0007671163,0.0004137091,0.00064742705,0.00036312957],"domain_scores_gemma":[0.9984506,0.00009376786,0.000692805,0.0005295886,0.000055879227,0.00017740417],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0038304105,0.00014477893,0.00049871515,0.00017227576,0.00010740447,0.000027435955,0.0007964542,0.00005848145,0.000025207679],"category_scores_gemma":[0.00013122919,0.00011457887,0.00013528674,0.0015688883,0.0046137683,0.001208046,0.0006547743,0.000102503014,3.9601872e-8],"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":[0.0001303003,0.0004970704,0.9906354,0.0003850618,0.00006998212,0.0000025319634,0.0015993724,0.00079356274,0.00020454127,0.00006474703,0.000036528414,0.0055809156],"study_design_scores_gemma":[0.00057497196,0.00026739796,0.9803422,0.000020405785,0.00018814564,0.000004427217,0.0048183925,0.008524287,0.00029642528,0.0048349192,0.000030929106,0.00009750206],"about_ca_topic_score_codex":0.0002963386,"about_ca_topic_score_gemma":0.00021318327,"teacher_disagreement_score":0.0102931885,"about_ca_system_score_codex":0.00023214422,"about_ca_system_score_gemma":0.000041539424,"threshold_uncertainty_score":0.9980951},"labels":[],"label_agreement":null},{"id":"W3042829198","doi":"10.3390/su12145832","title":"Many Miles to Paris: A Sectoral Innovation System Analysis of the Transport Sector in Norway and Canada in Light of the Paris Agreement","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"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":"Horizon 2020 Framework Programme","keywords":"Greenhouse gas; Legislature; Spillover effect; Fossil fuel; Business; Sustainable transport; Energy system; Natural resource economics; International trade; Industrial organization; Sustainability; Economics; Economy; Engineering; Political science; Renewable energy","score_opus":0.005015392570432894,"score_gpt":0.20005234615680054,"score_spread":0.19503695358636763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3042829198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99519056,0.00001614272,0.000026428854,0.0034553206,0.000025947693,0.000987396,0.00003555057,0.0000033350404,0.00025929086],"genre_scores_gemma":[0.99970436,0.0000010809347,0.000014344266,0.00017440812,0.0000040926734,0.00003167117,0.0000022575553,0.0000051281295,0.00006266985],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981493,0.00022519419,0.00059658353,0.00033846434,0.00042484037,0.00026562362],"domain_scores_gemma":[0.9992538,0.00003977335,0.00015098645,0.00044734482,0.000034845587,0.00007323319],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006247235,0.00014503545,0.00034774843,0.000059174083,0.000055984245,0.0000051732645,0.00027349507,0.00005685934,0.00014523491],"category_scores_gemma":[0.00018144882,0.00009493996,0.00008363178,0.0024807036,0.00019442312,0.000084913234,0.00022652026,0.00015009046,2.3455972e-7],"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":[0.000056343197,0.000085932996,0.9874579,0.0002473963,0.000025526146,0.000002579849,0.0038384404,0.007471974,0.0005550421,0.000087457876,0.000057994755,0.00011345346],"study_design_scores_gemma":[0.00019237887,0.000040683164,0.9897545,0.000010795511,0.00005609098,1.3636179e-7,0.007113027,0.0006878481,0.0017248105,0.00005918026,0.00026545045,0.00009510058],"about_ca_topic_score_codex":0.56305367,"about_ca_topic_score_gemma":0.7215332,"teacher_disagreement_score":0.15847953,"about_ca_system_score_codex":0.0031323424,"about_ca_system_score_gemma":0.00020266534,"threshold_uncertainty_score":0.8190966},"labels":[],"label_agreement":null},{"id":"W3043351065","doi":"10.18174/526452","title":"Hortifootprint Category Rules : Towards a PEFCR for horticultural products","year":2020,"lang":"en","type":"report","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"Ministerie van Landbouw, Natuur en Voedselkwaliteit; European Commission; Hope Funds for Cancer Research","keywords":"Scope (computer science); Flexibility (engineering); Life-cycle assessment; Footprint; Sustainability; Ecological footprint; General partnership; Product (mathematics); Set (abstract data type); Computer science; Benchmark (surveying); Environmental economics; Supply chain; Business; Risk analysis (engineering); Production (economics); Marketing; Economics; Geography; Mathematics","score_opus":0.0402051259333219,"score_gpt":0.2909969875386972,"score_spread":0.25079186160537525,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043351065","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34493926,0.0003830807,0.000433577,0.006033744,0.0011379228,0.005285234,0.00020806889,0.00039003583,0.6411891],"genre_scores_gemma":[0.91981626,0.00035442912,0.0038945915,0.00028763228,0.0006113649,0.00047915668,0.000465688,0.0001027178,0.07398814],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99648577,0.000050686172,0.0005986858,0.0010805018,0.0010969545,0.0006874146],"domain_scores_gemma":[0.99870056,0.000025968653,0.00024231638,0.0006241,0.000048785212,0.00035826152],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005702759,0.00054187875,0.00060462614,0.000026324162,0.00017432244,0.000086829925,0.00045876586,0.00031236777,0.0029676058],"category_scores_gemma":[0.00073126925,0.00040073766,0.000329188,0.00014702196,0.00038462772,0.00019789141,0.0007181032,0.00038801183,0.0005396736],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025871472,0.0010656391,0.058921814,0.0024509514,0.00040095818,0.000104478524,0.0026701044,0.00020850565,0.008386508,0.0001600019,0.7489194,0.17645288],"study_design_scores_gemma":[0.00025135124,0.00032318477,0.36996314,0.000016626394,0.00017040466,0.000041784082,0.00057548925,0.00006946078,0.0050416146,0.0006772395,0.62196815,0.0009015514],"about_ca_topic_score_codex":0.0028091462,"about_ca_topic_score_gemma":0.00028799498,"teacher_disagreement_score":0.574877,"about_ca_system_score_codex":0.0023180915,"about_ca_system_score_gemma":0.00030746893,"threshold_uncertainty_score":0.99984443},"labels":[],"label_agreement":null},{"id":"W3043569395","doi":"10.1007/s12053-020-09878-0","title":"Potential for energy efficiency improvement and greenhouse gas mitigation in Canada’s iron and steel industry","year":2020,"lang":"en","type":"article","venue":"Energy Efficiency","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Cenovus Energy; Alberta Innovates; Environment and Climate Change Canada; Suncor Energy Incorporated","keywords":"Greenhouse gas; Tonne; Environmental science; Context (archaeology); Climate change mitigation; Efficient energy use; Natural resource economics; Environmental engineering; Environmental economics; Waste management; Engineering","score_opus":0.0041994336706124335,"score_gpt":0.18712044341726694,"score_spread":0.1829210097466545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3043569395","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957389,0.000115582116,0.0022297532,0.0010452676,0.00006513998,0.00018951879,0.000015037592,0.000018291053,0.0005825117],"genre_scores_gemma":[0.99858767,0.00004834857,0.00013478746,0.00092482043,0.00003769703,0.00003353827,0.000010947414,0.000017949566,0.00020424978],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983304,0.000048311813,0.0002990058,0.00053076906,0.00032582344,0.00046569368],"domain_scores_gemma":[0.9994088,0.000037621703,0.00008274984,0.00016281917,0.0000048513766,0.00030315426],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014743498,0.00021243181,0.0001845085,0.000030174448,0.00016696256,0.00003135529,0.00016090239,0.000119330594,0.00013603405],"category_scores_gemma":[0.00004956071,0.00020409892,0.000030999483,0.00018226563,0.00021154257,0.00017533501,0.00023285717,0.0001444039,9.100146e-7],"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":[0.00039092134,0.0011877429,0.45977286,0.00020406481,0.000025701114,0.00013062684,0.0034945575,0.11877014,0.12258123,0.002384717,0.001955458,0.289102],"study_design_scores_gemma":[0.0049210764,0.00266543,0.6246234,0.00003509318,0.00006922749,0.000025923426,0.005456848,0.31598467,0.033206217,0.0010657909,0.010291969,0.0016543113],"about_ca_topic_score_codex":0.43211824,"about_ca_topic_score_gemma":0.28981125,"teacher_disagreement_score":0.28744766,"about_ca_system_score_codex":0.00065394666,"about_ca_system_score_gemma":0.00012682495,"threshold_uncertainty_score":0.83229125},"labels":[],"label_agreement":null},{"id":"W3045514737","doi":"10.1111/jiec.13051","title":"Quantifying environmental impacts of primary aluminum ingot production and consumption: A trade‐linked multilevel life cycle assessment","year":2020,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Life-cycle assessment; Ingot; Industrial ecology; Production (economics); Consumption (sociology); Primary (astronomy); Environmental science; Business; Environmental impact assessment; Natural resource economics; Sustainability; Materials science; Economics; Metallurgy; Political science; Ecology","score_opus":0.07307163653800598,"score_gpt":0.2940407704571577,"score_spread":0.22096913391915174,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3045514737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99630815,0.000056729245,0.0000388559,0.002856166,0.00029174687,0.00035395726,0.00001338159,0.0000068144673,0.00007422639],"genre_scores_gemma":[0.99852896,0.00009814263,0.00066828,0.00043992806,0.00023624524,0.0000031654085,0.000004283487,0.000013062111,0.000007934232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99812096,0.0002448334,0.00077220873,0.00024052679,0.00035116545,0.00027028934],"domain_scores_gemma":[0.99867207,0.000121892845,0.000708091,0.00011917558,0.000004530095,0.00037423358],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00074252463,0.00017372398,0.00046681621,0.000050472077,0.000102163234,0.00001651088,0.00015946815,0.00021772641,0.00095510896],"category_scores_gemma":[0.00055540353,0.00015532048,0.00010379823,0.000082900435,0.00050262775,0.0004398367,0.00014311446,0.0005403328,0.00000861768],"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":[0.0003714391,0.00036004547,0.92780334,0.00002713936,0.000056680445,0.000022353588,0.0010471531,0.0010323965,0.061947,0.0000033231834,0.00055060996,0.0067785354],"study_design_scores_gemma":[0.001949991,0.0010076582,0.99329144,0.00001876481,0.00006954466,0.000099709076,0.00093941006,0.00052104355,0.0015776255,0.000018401613,0.0003569843,0.00014943344],"about_ca_topic_score_codex":0.000027219032,"about_ca_topic_score_gemma":0.000016110847,"teacher_disagreement_score":0.06548811,"about_ca_system_score_codex":0.0006425604,"about_ca_system_score_gemma":0.00009942883,"threshold_uncertainty_score":0.99995816},"labels":[],"label_agreement":null},{"id":"W3046315610","doi":"10.3390/atmos11080810","title":"Achieving Carbon Neutrality for A Future Large Greenhouse Gas Emitter in Quebec, Canada: A Case Study","year":2020,"lang":"en","type":"article","venue":"Atmosphere","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université du Québec à Chicoutimi","funders":"Université du Québec à Chicoutimi","keywords":"Greenhouse gas; Carbon neutrality; Carbon offset; Liquefied natural gas; Natural gas; Fossil fuel; Environmental science; Pledge; Natural resource economics; Portfolio; Climate change; Renewable energy; Environmental economics; Business; Waste management; Engineering; Economics; Ecology","score_opus":0.008921645232447933,"score_gpt":0.22751570254640818,"score_spread":0.21859405731396025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3046315610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99565303,0.00005529933,0.000013428134,0.0028145236,0.00006236968,0.0010822815,0.000013955316,0.000031366475,0.0002737574],"genre_scores_gemma":[0.9980119,0.0000024124824,0.000095108146,0.0013612813,0.0000937684,0.00006669298,0.0000035190822,0.0000256943,0.00033965337],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998421,0.000118388365,0.00026753475,0.0004607103,0.00023012754,0.0005022151],"domain_scores_gemma":[0.99934524,0.000039365255,0.0000588515,0.00030505715,0.0000035014523,0.00024798184],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019611587,0.00021656841,0.00024197776,0.0000011081794,0.00012191689,0.000027296524,0.00018900433,0.000073623174,0.0004979292],"category_scores_gemma":[0.0000360076,0.00019795561,0.00006240854,0.00019038822,0.00004913179,0.00018191877,0.00021783731,0.00022534198,0.0000056509843],"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":[0.000051129315,0.00026413368,0.9843377,0.000029335402,0.0000112497655,0.0019457791,0.009853903,0.0003744186,0.00005200265,0.0000017005576,0.001308627,0.0017700208],"study_design_scores_gemma":[0.0016754416,0.00027016288,0.8916338,0.0000050092544,0.000028240293,0.00004667902,0.09529063,0.0017700258,0.0000445045,0.000014040313,0.0088224495,0.00039899652],"about_ca_topic_score_codex":0.95808196,"about_ca_topic_score_gemma":0.99746776,"teacher_disagreement_score":0.09270388,"about_ca_system_score_codex":0.0009449817,"about_ca_system_score_gemma":0.000064252155,"threshold_uncertainty_score":0.80723953},"labels":[],"label_agreement":null},{"id":"W3047246158","doi":"10.1111/gcbb.12735","title":"Regional variations in life cycle greenhouse gas emissions of canola‐derived jet fuel produced in western Canada","year":2020,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Ontario","keywords":"Canola; Greenhouse gas; Environmental science; Raw material; Jet fuel; Life-cycle assessment; Production (economics); Agronomy; Waste management; Engineering; Ecology; Economics; Biology","score_opus":0.014490827869727213,"score_gpt":0.2184984045626808,"score_spread":0.20400757669295358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3047246158","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922511,0.00003037926,0.000021008533,0.0070110657,0.000029676912,0.00015254175,0.00002043331,0.000012859596,0.00047096485],"genre_scores_gemma":[0.99852574,0.000028916536,0.00013960582,0.0011353029,0.00002153167,0.000017033624,0.00001843719,0.00001254682,0.000100898804],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987024,0.000093719806,0.00031335247,0.0003220596,0.0002751832,0.00029330552],"domain_scores_gemma":[0.99937445,0.000032602795,0.00007976861,0.0002425511,0.0000038684398,0.00026674964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100049365,0.00013742597,0.0001907626,0.000030494877,0.00004113922,0.0000071978793,0.00021978162,0.00005718252,0.00048968516],"category_scores_gemma":[0.00014849288,0.00012913156,0.000032875825,0.00036494847,0.00011789674,0.00013565224,0.0001837717,0.0001182509,0.000006997316],"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":[0.000042823314,0.0001988398,0.96373856,0.000018699004,0.000005856243,0.000021596747,0.0012907273,0.008293697,0.02499977,0.000030773554,0.00074088684,0.00061776],"study_design_scores_gemma":[0.00050640036,0.000070999806,0.9904272,0.00001026865,0.0000045243787,0.0000015807652,0.00045881537,0.0014604563,0.0037470155,0.00013880742,0.0029939085,0.0001800323],"about_ca_topic_score_codex":0.6987875,"about_ca_topic_score_gemma":0.83412135,"teacher_disagreement_score":0.1353338,"about_ca_system_score_codex":0.00054015324,"about_ca_system_score_gemma":0.00020730673,"threshold_uncertainty_score":0.5361709},"labels":[],"label_agreement":null},{"id":"W3048480628","doi":"10.1002/jeq2.20138","title":"Global Research Alliance N<sub>2</sub>O chamber methodology guidelines: Guidelines for gap‐filling missing measurements","year":2020,"lang":"en","type":"article","venue":"Journal of Environmental Quality","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":60,"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":"Sampling (signal processing); Interpolation (computer graphics); Environmental science; Statistics; Greenhouse gas; Missing data; Transparency (behavior); Computer science; Econometrics; Mathematics; Detector","score_opus":0.644284892463604,"score_gpt":0.5176591117753753,"score_spread":0.12662578068822872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3048480628","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9679514,0.0010690298,0.019537449,0.010038157,0.00026920886,0.00067814655,0.00008994431,0.000021807715,0.00034485196],"genre_scores_gemma":[0.9181987,0.000473552,0.07563319,0.004924169,0.0006299199,0.000019325124,0.000012957003,0.00005166479,0.000056532852],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99285525,0.001507358,0.0022565003,0.00070030044,0.0017669426,0.00091365294],"domain_scores_gemma":[0.9972829,0.00046493017,0.0009119808,0.0004498083,0.00011939359,0.00077095546],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.012028602,0.00042359778,0.0007772471,0.00004035389,0.00040943385,0.000070591115,0.00063192885,0.00024100111,0.00063907634],"category_scores_gemma":[0.005544698,0.00037450102,0.00048930314,0.0003465994,0.0008025916,0.0006785501,0.0005370404,0.0004915336,0.0001136718],"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":[0.0011861703,0.0006458082,0.22977723,0.00012870121,0.00017509481,0.000052521507,0.00096484675,0.006704788,0.66888475,0.000039880215,0.01946347,0.07197676],"study_design_scores_gemma":[0.008400426,0.0032767053,0.6358609,0.00027313357,0.00036400696,0.00036428947,0.010117563,0.004053922,0.22961164,0.021934872,0.08326958,0.0024729522],"about_ca_topic_score_codex":0.00007638003,"about_ca_topic_score_gemma":0.000027898432,"teacher_disagreement_score":0.4392731,"about_ca_system_score_codex":0.0019875902,"about_ca_system_score_gemma":0.00006374238,"threshold_uncertainty_score":0.9998707},"labels":[],"label_agreement":null},{"id":"W3082341199","doi":"10.1146/annurev-environ-012420-045843","title":"Advances Toward a Net-Zero Global Building Sector","year":2020,"lang":"en","type":"article","venue":"Annual Review of Environment and Resources","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":224,"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":"Zero-energy building; Embodied energy; Greenhouse gas; Carbon neutrality; Climate change; Efficient energy use; Natural resource economics; Business; Architectural engineering; Environmental resource management; Environmental economics; Environmental science; Engineering; Economics; Ecology","score_opus":0.008980868029409457,"score_gpt":0.25028892464363967,"score_spread":0.24130805661423022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082341199","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8636642,0.12004248,0.00049005833,0.003672892,0.000036639834,0.00067936967,0.000074419986,0.000038008293,0.0113019515],"genre_scores_gemma":[0.89779973,0.09855775,0.0010105136,0.0024706281,0.00004435642,0.000014022358,0.0000058013597,0.000012603381,0.00008460239],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984281,0.00009298935,0.00036610244,0.0004065339,0.00041175727,0.00029448455],"domain_scores_gemma":[0.99933285,0.000034887973,0.00015972026,0.000193164,0.0000020195444,0.00027737522],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023387022,0.00022589296,0.0003730046,0.0000072406333,0.00008556014,0.000011897689,0.00023974373,0.000055481425,0.0018898749],"category_scores_gemma":[0.000080299076,0.00017461054,0.00011999157,0.00012760205,0.0005113728,0.0003018748,0.0004461329,0.00010371424,0.000076125594],"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":[0.00016387354,0.00036103962,0.6245962,0.0072385655,0.00007097788,0.000036828937,0.0054316334,0.0005004414,0.0023183306,0.0002057268,0.0061912974,0.35288513],"study_design_scores_gemma":[0.00036700483,0.00052348105,0.11761983,0.00050013734,0.00008538518,0.000009024602,0.00093406887,0.000061767314,0.0003689825,0.0005283443,0.878599,0.00040300432],"about_ca_topic_score_codex":0.000045351528,"about_ca_topic_score_gemma":0.000001127914,"teacher_disagreement_score":0.8724077,"about_ca_system_score_codex":0.00009920621,"about_ca_system_score_gemma":0.0000032886012,"threshold_uncertainty_score":0.99902254},"labels":[],"label_agreement":null},{"id":"W3082854120","doi":"10.1016/j.scitotenv.2020.142063","title":"Evaluation of sector-specific AWARE characterization factors for water scarcity footprint of electricity generation","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal; York University","funders":"Fonds de recherche du Québec – Nature et technologies; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Electricity; Water use; Hydroelectricity; Life-cycle assessment; Environmental science; Water scarcity; Electricity generation; Natural resource economics; Consumption (sociology); Distribution (mathematics); Scarcity; Environmental resource management; Water resources; Water resource management; Production (economics); Ecology; Economics; Engineering","score_opus":0.04529652943373014,"score_gpt":0.24123874840467782,"score_spread":0.19594221897094768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3082854120","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971592,0.000009154711,0.0011576896,0.0004429734,0.0000690353,0.001039827,0.000023023813,0.0000044037156,0.00009469177],"genre_scores_gemma":[0.9998101,0.00000898517,0.00007503675,0.000010230669,0.000021432696,0.00002117642,0.000008892543,0.0000075871753,0.000036533966],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9975589,0.00016929954,0.0003474217,0.00029267886,0.001391705,0.00023999163],"domain_scores_gemma":[0.99921584,0.000027094997,0.00024275125,0.0004230453,0.000022993016,0.0000682457],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019459098,0.00013074644,0.00016588459,0.000019615292,0.00021855066,0.000010830272,0.0004990451,0.000037381364,0.00044636283],"category_scores_gemma":[0.000100726844,0.000070022244,0.00012050664,0.00021140321,0.0012122631,0.00019173995,0.0003966464,0.00007253555,0.000004878597],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019680752,0.0000853903,0.0022000659,0.000009122528,0.000006201575,9.056368e-9,0.0016428661,0.07370471,0.9207301,0.000022661812,0.0000032596654,0.0015758957],"study_design_scores_gemma":[0.00016400607,0.00012419207,0.2465409,0.0000021445612,0.000035762212,2.5916745e-7,0.00015928787,0.030931845,0.7217606,0.00020641212,0.000010577626,0.000064047344],"about_ca_topic_score_codex":0.000047651392,"about_ca_topic_score_gemma":8.0948104e-7,"teacher_disagreement_score":0.24434084,"about_ca_system_score_codex":0.0005299886,"about_ca_system_score_gemma":0.000026965925,"threshold_uncertainty_score":0.488736},"labels":[],"label_agreement":null},{"id":"W3083902242","doi":"10.1109/tia.2020.3022742","title":"An Enhanced Optimal PV and Battery Sizing Model for Zero Energy Buildings Considering Environmental Impacts","year":2020,"lang":"en","type":"article","venue":"IEEE Transactions on Industry Applications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":62,"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":"Fonds National de la Recherche Luxembourg","keywords":"Photovoltaic system; Mathematical optimization; Zero-energy building; Renewable energy; Integer programming; Linear programming; Computer science; Sizing; Battery (electricity); Electricity; Engineering; Reliability engineering; Mathematics; Electrical engineering; Power (physics)","score_opus":0.018350873558483187,"score_gpt":0.25185074635905635,"score_spread":0.23349987280057316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3083902242","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3979978,0.0000068557115,0.60096484,0.0004129349,0.0000114220575,0.00035913326,0.00010032299,0.000055185552,0.0000915132],"genre_scores_gemma":[0.98865515,0.000026986045,0.009236336,0.0012589742,0.000033104065,0.0006023596,0.000013812464,0.000037579408,0.00013567595],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998567,0.000028150886,0.00027016588,0.00057607726,0.00018465851,0.0003739493],"domain_scores_gemma":[0.9990473,0.00007245912,0.00007611918,0.0003158057,0.0000030590418,0.00048529461],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000087736364,0.0002467987,0.00017889027,0.000031872707,0.00050405134,0.000057803012,0.00018637221,0.00025348083,0.0003774143],"category_scores_gemma":[0.0000036668841,0.000273121,0.00007710232,0.0001295404,0.0003202753,0.0005062827,0.0000092961645,0.00038527334,0.000021290969],"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":[0.00007402531,0.00039045795,0.0006119422,0.000017959966,0.00002609205,8.986113e-7,0.0011999401,0.5985701,0.37762982,0.000048387406,0.00010841067,0.02132199],"study_design_scores_gemma":[0.0012745438,0.00048801056,0.0015413954,0.000013858475,0.00012754965,0.000019893427,0.001878633,0.5387466,0.45140365,0.0008018553,0.0028079348,0.0008960743],"about_ca_topic_score_codex":0.000037899306,"about_ca_topic_score_gemma":0.000007845518,"teacher_disagreement_score":0.5917285,"about_ca_system_score_codex":0.0002760662,"about_ca_system_score_gemma":0.000018052375,"threshold_uncertainty_score":0.9999721},"labels":[],"label_agreement":null},{"id":"W3085007382","doi":"","title":"Protocole pour la validation et la vérification d'une méthode d'analyse en microbiologie [ressource électronique] / Centre d'expertise en analyse environnementale du Québec","year":2009,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science","score_opus":0.010228139504409225,"score_gpt":0.27554585603385434,"score_spread":0.26531771652944514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3085007382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9313111,0.0003048896,0.016246876,0.035035644,0.000039663508,0.004673842,0.000054738688,0.00015366533,0.012179596],"genre_scores_gemma":[0.9665191,0.0003161103,0.007142947,0.0009613582,0.00007891685,0.00031846104,0.00014782955,0.00004463108,0.024470638],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9931225,0.0038482507,0.00074296206,0.0010092793,0.00038869926,0.00088831305],"domain_scores_gemma":[0.99809366,0.00042114817,0.0003146653,0.00080713927,0.000016146187,0.0003472342],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0023866517,0.0006067369,0.00046763427,0.00009928241,0.00035021745,0.0001981692,0.00059119053,0.0004775714,0.0071556293],"category_scores_gemma":[0.0002607941,0.0005657221,0.0003227239,0.00038555436,0.00074597646,0.00085114676,0.0002800923,0.0005424328,0.0008711686],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002093157,0.0041349484,0.30600166,0.00006814046,0.00013617863,0.000048560196,0.011391284,0.005972892,0.56790954,0.00055989693,0.004472857,0.09909475],"study_design_scores_gemma":[0.0016997316,0.0004161997,0.65416807,0.00006917139,0.00029242985,0.00007714874,0.0072683864,0.007574622,0.25792968,0.0010582184,0.06833166,0.0011146663],"about_ca_topic_score_codex":0.031508334,"about_ca_topic_score_gemma":0.005902586,"teacher_disagreement_score":0.34816644,"about_ca_system_score_codex":0.004131569,"about_ca_system_score_gemma":0.00019719284,"threshold_uncertainty_score":0.9999068},"labels":[],"label_agreement":null},{"id":"W3087778874","doi":"","title":"Environmentally Adjusted Multifactor Productivity Growth for the Canadian Manufacturing Sector","year":2019,"lang":"en","type":"article","venue":"Analytical Studies Branch Research Paper Series","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"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":"Productivity; Multifactor productivity; Greenhouse gas; Production (economics); Goods and services; Natural resource economics; Manufacturing sector; Environmental economics; Business; Economics; Agricultural economics; Economy; Total factor productivity; Economic growth; Labour economics; Macroeconomics","score_opus":0.07134819102668785,"score_gpt":0.3342215271205597,"score_spread":0.26287333609387187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3087778874","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98223984,0.0003523211,0.0000091668435,0.010433202,0.00014115407,0.0020914546,0.000033699493,0.000030294621,0.004668844],"genre_scores_gemma":[0.9892381,0.00023261512,0.000093746916,0.0003935899,0.00011449363,0.0002345688,0.000007771978,0.000031922904,0.009653182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965296,0.00019487306,0.00027417793,0.00073686475,0.0009984126,0.0012661164],"domain_scores_gemma":[0.99805456,0.00084538944,0.00003946568,0.000656007,0.000034623987,0.0003699313],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016404944,0.00028500933,0.00033854306,0.000057768222,0.001450926,0.00012925881,0.00055786484,0.000106245105,0.004060634],"category_scores_gemma":[0.0008166682,0.00018652165,0.0001567438,0.0002512998,0.0019269221,0.0007148369,0.0006859071,0.0005057633,0.00068843237],"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":[0.000743529,0.00048417033,0.93693,0.00043372824,0.000914655,0.000028376779,0.0046042753,0.00065469433,0.016534938,0.0015469971,0.01750106,0.019623589],"study_design_scores_gemma":[0.00048131583,0.00035204928,0.8804929,0.000011773069,0.000036128444,0.000004772242,0.0034834896,0.00015489783,0.012434076,0.001791904,0.100417055,0.00033960753],"about_ca_topic_score_codex":0.045097556,"about_ca_topic_score_gemma":0.26267204,"teacher_disagreement_score":0.21757449,"about_ca_system_score_codex":0.0020916662,"about_ca_system_score_gemma":0.00005950974,"threshold_uncertainty_score":0.999849},"labels":[],"label_agreement":null},{"id":"W3091118040","doi":"10.1111/gcbb.12756","title":"Retrofitting coal‐fired power plants with biomass co‐firing and carbon capture and storage for net zero carbon emission: A plant‐by‐plant assessment framework","year":2020,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Tsinghua University; National Natural Science Foundation of China; U.S. Department of Energy","keywords":"Bio-energy with carbon capture and storage; Greenhouse gas; Retrofitting; Biomass (ecology); Environmental science; Power station; Coal; Bioenergy; Carbon sequestration; Zero emission; Carbon capture and storage (timeline); Negative carbon dioxide emission; Waste management; Carbon neutrality; Environmental engineering; Climate change mitigation; Engineering; Carbon dioxide; Biofuel; Climate change; Ecology","score_opus":0.008674126289934735,"score_gpt":0.22914510218297665,"score_spread":0.2204709758930419,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091118040","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967753,0.00038312798,0.0004661803,0.00080427283,0.0000575018,0.00035759,0.00022390232,0.000057351535,0.00087471574],"genre_scores_gemma":[0.998227,0.000054579035,0.0008897075,0.00050980394,0.000038203725,0.000027691585,0.00011035841,0.000034202138,0.00010846876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9982188,0.000070187314,0.00024182055,0.0006295551,0.00033883963,0.0005008228],"domain_scores_gemma":[0.999107,0.000100677906,0.00013090785,0.0002278706,0.0000032192029,0.00043030793],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016950963,0.00031886503,0.00032460527,0.000023229717,0.00018690608,0.00006973694,0.00014588908,0.00020625957,0.00003921604],"category_scores_gemma":[0.000032913704,0.00025283487,0.000033804787,0.00009216193,0.0002582679,0.000109158864,0.00020039646,0.00022420628,4.3944567e-7],"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":[0.00046397955,0.00011512822,0.892303,0.00013470028,0.00007008785,0.00013109035,0.0021927776,0.00014878507,0.10151418,0.000026407393,0.0020223982,0.0008774504],"study_design_scores_gemma":[0.008852508,0.006257416,0.71267617,0.0006815044,0.00030746736,0.00037651786,0.0129088955,0.07048824,0.12641437,0.0010864774,0.05547784,0.004472619],"about_ca_topic_score_codex":0.001012696,"about_ca_topic_score_gemma":0.000049909242,"teacher_disagreement_score":0.17962687,"about_ca_system_score_codex":0.00023343807,"about_ca_system_score_gemma":0.000017858165,"threshold_uncertainty_score":0.9999924},"labels":[],"label_agreement":null},{"id":"W3091370728","doi":"10.1007/s40641-020-00163-x","title":"Treatment of International Economic Trade in Intergovernmental Panel on Climate Change (IPCC) Reports","year":2020,"lang":"en","type":"article","venue":"Current Climate Change Reports","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"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 Ottawa","funders":"ArcticNet; Canada Research Chairs; Marine Environmental Observation Prediction and Response Network","keywords":"Climate change; Trade barrier; International trade; Negotiation; Business; Economics; Political economy of climate change; Natural resource economics; International economics; Political science; Ecology","score_opus":0.10060196689615099,"score_gpt":0.30787591372620365,"score_spread":0.20727394683005268,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091370728","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.993017,0.00027383212,0.0000011044356,0.0011323605,0.0012016528,0.0009876209,0.00013546513,0.00004374585,0.0032072084],"genre_scores_gemma":[0.9957681,0.0033676294,0.00002053609,0.00016375931,0.00026261996,0.00024846324,0.00013097526,0.00003211931,0.0000058439177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99734145,0.000053936194,0.0008798753,0.00075370574,0.00043051623,0.0005404874],"domain_scores_gemma":[0.9987173,0.000025359119,0.0005852253,0.00041717762,0.0000021867854,0.00025273956],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022464864,0.00034255182,0.00042399246,0.00005564077,0.00005822611,0.000026058588,0.00014156157,0.000081537895,0.0014360364],"category_scores_gemma":[0.000026479542,0.00031368298,0.00020387517,0.000098677214,0.0001569473,0.00044112245,0.00032323154,0.00012512917,0.000068562855],"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":[0.00012433,0.0009235668,0.9514917,0.00007140864,0.000013796723,0.00094544014,0.0048220004,0.000035393055,0.00057458354,0.00001893969,0.00008874669,0.040890075],"study_design_scores_gemma":[0.00081854366,0.00095062493,0.9755928,0.000119963894,0.00003897535,0.00028741985,0.0013454987,0.0008888787,0.003415661,0.00007891371,0.015948208,0.0005145394],"about_ca_topic_score_codex":0.00021247058,"about_ca_topic_score_gemma":0.00008040974,"teacher_disagreement_score":0.040375534,"about_ca_system_score_codex":0.0023407813,"about_ca_system_score_gemma":0.000008137095,"threshold_uncertainty_score":0.9999315},"labels":[],"label_agreement":null},{"id":"W3091458267","doi":"10.1016/j.jclepro.2020.124260","title":"Technical inefficiency, abatement cost and substitutability of industrial water pollutants in Jiangsu Province, China","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"China Scholarship Council; National Natural Science Foundation of China","keywords":"Inefficiency; Marginal abatement cost; Shadow price; Pollutant; Environmental science; China; Marginal cost; Economics; Pollution; Natural resource economics; Environmental engineering; Greenhouse gas; Mathematics; Microeconomics; Ecology","score_opus":0.017985150302228758,"score_gpt":0.2390133596549466,"score_spread":0.22102820935271786,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091458267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954485,0.000018391132,0.000058573372,0.0036912514,0.000116257484,0.0004145282,0.0000027249323,0.000005450627,0.00024432136],"genre_scores_gemma":[0.9996206,0.000018041119,0.00015998239,0.000037934915,0.00012601276,0.0000016805965,6.36324e-7,0.0000061581595,0.000028942708],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985566,0.00009799586,0.0005590351,0.00021655457,0.00037154625,0.00019828144],"domain_scores_gemma":[0.9995324,0.000008594356,0.00019518664,0.00012607504,0.00000974526,0.00012797794],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010052274,0.000108573,0.00022679746,0.00004382658,0.00004639202,0.000012357662,0.00012704838,0.00007277916,0.00025117665],"category_scores_gemma":[0.00028741203,0.000073951254,0.0000478245,0.00015014545,0.00034858458,0.00046055537,0.00012695995,0.0003077534,0.000004311401],"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":[0.0007763429,0.000669665,0.7467836,0.000045587047,0.000007777978,0.000022265038,0.0017507276,0.007487879,0.18655553,0.000005265125,0.00025303612,0.055642273],"study_design_scores_gemma":[0.0010590787,0.0007710253,0.8754727,0.000026775564,0.000023884133,0.00008302157,0.00051184755,0.00015200005,0.11962643,0.00020735273,0.0019068224,0.00015904305],"about_ca_topic_score_codex":0.00006851134,"about_ca_topic_score_gemma":0.000037977847,"teacher_disagreement_score":0.12868908,"about_ca_system_score_codex":0.00036672453,"about_ca_system_score_gemma":0.000027438613,"threshold_uncertainty_score":0.30156446},"labels":[],"label_agreement":null},{"id":"W3092414390","doi":"10.1016/j.scitotenv.2020.142821","title":"Identifying the key sectors for regional energy, water and carbon footprints from production-, consumption- and network-based perspectives","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":62,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Guangdong Science and Technology Department; Ministry of Science and Technology of the People's Republic of China; National Natural Science Foundation of China","keywords":"Energy consumption; Production (economics); Natural resource economics; Consumption (sociology); Environmental economics; Water use; Business; Agriculture; Secondary sector of the economy; Environmental science; Environmental resource management; Environmental engineering; Economy; Engineering; Economics; Geography","score_opus":0.019865523652628857,"score_gpt":0.22157407577402358,"score_spread":0.2017085521213947,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3092414390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907268,0.000201158,0.00009723848,0.008347875,0.000078516605,0.00045420937,0.0000046055447,0.000007899643,0.00008169048],"genre_scores_gemma":[0.9992907,0.00005879938,0.0002661392,0.00012706596,0.000062638865,0.000032897413,0.0000010907096,0.000008716742,0.00015194937],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9985351,0.000092757604,0.00016488764,0.00044201646,0.0004665885,0.00029868283],"domain_scores_gemma":[0.9993533,0.00008030814,0.00008543008,0.00037923595,0.0000031240288,0.0000986144],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005903432,0.00014456354,0.00011792433,0.000008457355,0.00068022974,0.000044812117,0.00039580933,0.000027539338,0.00013310653],"category_scores_gemma":[0.000049963597,0.0000678625,0.00005908014,0.00008514219,0.0044895797,0.00014047914,0.00066309754,0.00010376096,0.0000033660694],"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":[0.00038482127,0.00028029984,0.09567305,0.000050493527,0.000096644166,0.0000010762764,0.041681364,0.33079585,0.5274807,0.00077556254,0.00030006675,0.0024800512],"study_design_scores_gemma":[0.00054790534,0.00016798556,0.8623437,0.000020947176,0.0001026048,0.000008395138,0.00449924,0.024581345,0.101486646,0.0053995107,0.0005089067,0.00033279537],"about_ca_topic_score_codex":0.0003326304,"about_ca_topic_score_gemma":0.000006452378,"teacher_disagreement_score":0.76667064,"about_ca_system_score_codex":0.00018898748,"about_ca_system_score_gemma":0.000010434073,"threshold_uncertainty_score":0.9982196},"labels":[],"label_agreement":null},{"id":"W3093606325","doi":"","title":"Étude de faisabilité d'une centrale de production d'électricité et de chaleur à partir de la biomasse avec un réseau de chauffage urbain à l'Île Anticosti","year":2019,"lang":"fr","type":"article","venue":"Sémaphore (Université du Québec à Rimouski)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Chemistry; Forestry; Art; Geography","score_opus":0.004106149896418565,"score_gpt":0.20158186949122744,"score_spread":0.1974757195948089,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093606325","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97303456,0.0014075086,0.0021436997,0.016269023,0.0002063367,0.00095437176,0.000056216108,0.00015812289,0.005770173],"genre_scores_gemma":[0.9911069,0.0010197479,0.0018307278,0.00067908276,0.00016433513,0.000017448756,0.00002624164,0.000103312894,0.005052155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99415475,0.0014995835,0.00040048728,0.0010977115,0.00052931975,0.002318148],"domain_scores_gemma":[0.99735963,0.0003968861,0.0002494895,0.0009389616,0.000029196082,0.0010258382],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023572217,0.0006501195,0.0005341853,0.00017100535,0.00064551167,0.00015960417,0.0008115686,0.00057688064,0.0038037081],"category_scores_gemma":[0.0004000329,0.0007746917,0.00038689794,0.0009473116,0.0018088849,0.00092141435,0.000469086,0.00085436855,0.00054248155],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00025986586,0.0016881593,0.79025614,0.00025614613,0.000118556105,0.00028981536,0.04893729,0.0038921123,0.14154549,0.0034815867,0.0021347478,0.0071401186],"study_design_scores_gemma":[0.0013589301,0.0004804715,0.9109185,0.00007862328,0.00026401054,0.0005913051,0.008254608,0.00794354,0.048935186,0.0019467629,0.018366363,0.000861704],"about_ca_topic_score_codex":0.16017033,"about_ca_topic_score_gemma":0.08513232,"teacher_disagreement_score":0.12066238,"about_ca_system_score_codex":0.014354955,"about_ca_system_score_gemma":0.0013859716,"threshold_uncertainty_score":0.9994704},"labels":[],"label_agreement":null},{"id":"W3093847271","doi":"10.1155/2020/8848149","title":"Prediction on Peak Values of Carbon Dioxide Emissions from the Chinese Transportation Industry Based on the SVR Model and Scenario Analysis","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Social Science Fund of China; Xi'an University of Posts and Telecommunications; Natural Science Foundation of Shaanxi Province","keywords":"Carbon dioxide; Greenhouse gas; Environmental science; Carbon dioxide equivalent; Environmental engineering; Natural resource economics; Chemistry; Economics","score_opus":0.010473591442646197,"score_gpt":0.23440047728818386,"score_spread":0.22392688584553766,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093847271","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961041,0.00002152597,0.0012414126,0.002246978,0.000026145528,0.00017901842,0.00009169556,0.0000069563184,0.000082173094],"genre_scores_gemma":[0.99913186,0.000034167566,0.0003707826,0.00037239888,0.000028018176,0.000003579743,0.0000426771,0.00000897302,0.000007544362],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987277,0.00007092789,0.00043954485,0.00016495815,0.00049307174,0.00010381268],"domain_scores_gemma":[0.9992184,0.0001600578,0.0003444044,0.00014911975,0.000016146501,0.00011184236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022846308,0.00013569421,0.00020445664,0.000033500124,0.00010217658,0.000008142123,0.00013114382,0.00008485639,0.000082174025],"category_scores_gemma":[0.00006774453,0.000076307995,0.00015045654,0.00038732172,0.00012553556,0.00022983659,0.0000019066796,0.0003893379,2.488007e-7],"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":[0.00027072764,0.00006926449,0.34171057,0.0000041623457,0.000034717246,0.0000020423422,0.0034469846,0.6423403,0.011721463,0.000004632777,0.0000055310784,0.00038959438],"study_design_scores_gemma":[0.00049478904,0.00024463408,0.9521954,0.000024974073,0.00030026803,1.16382694e-7,0.0017597803,0.042796038,0.0016223146,0.00048595312,0.0000092793,0.00006646531],"about_ca_topic_score_codex":0.00011178642,"about_ca_topic_score_gemma":0.00015462526,"teacher_disagreement_score":0.61048484,"about_ca_system_score_codex":0.0000874771,"about_ca_system_score_gemma":0.000019364988,"threshold_uncertainty_score":0.31117496},"labels":[],"label_agreement":null},{"id":"W3093905436","doi":"10.1007/s11367-020-01823-8","title":"Life cycle assessment applying planetary and regional boundaries to the process level: a model case study","year":2020,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Mitacs; Unilever","keywords":"Process (computing); Environmental science; Computer science","score_opus":0.0460801999799931,"score_gpt":0.3415838162259794,"score_spread":0.2955036162459863,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3093905436","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9503538,0.000040025687,0.00471212,0.043716464,0.00013501348,0.00061266986,0.000021285961,0.000011210699,0.00039738126],"genre_scores_gemma":[0.9890098,0.000013994792,0.0015111599,0.009151295,0.0002276976,0.00004087083,0.000003006331,0.000016344133,0.00002582343],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99733406,0.00016660236,0.00056216144,0.00025286773,0.0014477719,0.00023653917],"domain_scores_gemma":[0.9987989,0.00014862533,0.00032535676,0.0002005684,0.000049017242,0.0004775272],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010669825,0.00020013869,0.0002341917,0.00003467169,0.00046676365,0.00036842187,0.00081863184,0.000032233416,0.00022048752],"category_scores_gemma":[0.00015162092,0.00012123055,0.000082286504,0.000114382194,0.00027802517,0.00045980423,0.0005625911,0.00041673763,0.0000102934655],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037541825,0.0008581357,0.28551072,0.000016793581,0.00044219042,0.0007940393,0.01644626,0.6848941,0.00018047032,0.00016249296,0.003612063,0.0067073563],"study_design_scores_gemma":[0.002273503,0.0010132914,0.522249,0.00003082684,0.00016401592,0.0016205286,0.08174982,0.38397452,0.000021000546,0.0023896554,0.004060263,0.0004535851],"about_ca_topic_score_codex":0.00063705567,"about_ca_topic_score_gemma":0.00024802316,"teacher_disagreement_score":0.30091956,"about_ca_system_score_codex":0.00041115258,"about_ca_system_score_gemma":0.00035734585,"threshold_uncertainty_score":0.49436384},"labels":[],"label_agreement":null},{"id":"W3095091541","doi":"","title":"Méthode d'analyse : détermination de l'acidité dans les effluents : méthode titrimétrique Centre d'expertise en analyse environnementale du Québec","year":2004,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.013715271644644627,"score_gpt":0.25298726775393227,"score_spread":0.23927199610928765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095091541","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9200295,0.0009434632,0.065827236,0.007901766,0.00018131806,0.0007912571,0.000087915076,0.000106966705,0.0041305376],"genre_scores_gemma":[0.9672905,0.0007110244,0.0135149965,0.00071385555,0.00017610002,0.000046494195,0.00006609514,0.000083705316,0.017397199],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99471265,0.0010508654,0.0009161815,0.0011321324,0.0008022206,0.0013859423],"domain_scores_gemma":[0.9977119,0.0001968211,0.0002868507,0.00092657993,0.000017257982,0.00086061074],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012275114,0.0007795583,0.000587887,0.00016094827,0.0007285557,0.00015304214,0.00076968054,0.0005060712,0.015662616],"category_scores_gemma":[0.00031374412,0.00078311167,0.00050582335,0.0004889588,0.0013956928,0.0011528856,0.00063317164,0.00053890626,0.001542284],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000080874976,0.0023861586,0.84390277,0.00009920536,0.00014434475,0.00023578489,0.01488833,0.02330385,0.06410135,0.00020402002,0.00062075275,0.05003254],"study_design_scores_gemma":[0.0027920837,0.00032376198,0.80066925,0.000105665116,0.0005401085,0.000137909,0.018641012,0.0107653495,0.15527703,0.0011848301,0.008238236,0.001324781],"about_ca_topic_score_codex":0.27532944,"about_ca_topic_score_gemma":0.15849227,"teacher_disagreement_score":0.11683716,"about_ca_system_score_codex":0.017871585,"about_ca_system_score_gemma":0.00032389,"threshold_uncertainty_score":0.999462},"labels":[],"label_agreement":null},{"id":"W3095213166","doi":"10.1130/abs/2020am-357859","title":"A MODELLED AND MEASURED 30-YEAR DUST EMISSION CLIMATOLOGY OF A PRO-GLACIAL VALLEY: WEIGHING THE IMPORTANCE OF ERODIBILITY AND EROSIVITY FACTORS","year":2020,"lang":"en","type":"article","venue":"Abstracts with programs - Geological Society of America","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Glacial period; Climatology; Environmental science; Erosion; Meteorology; Geology; Physical geography; Geomorphology; Geography","score_opus":0.02629573402192209,"score_gpt":0.24664966524063045,"score_spread":0.22035393121870836,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095213166","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767536,0.000059639133,0.00021634284,0.0011307523,0.0000052965715,0.00069744623,0.000005507431,0.000022420152,0.00018721513],"genre_scores_gemma":[0.995091,0.00007144527,0.0046398337,0.00016135296,0.000005827565,0.00001397178,0.000004896214,0.000007734327,0.000003939076],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829507,0.00012491825,0.00045108935,0.00043191185,0.00037481164,0.00032220694],"domain_scores_gemma":[0.9989533,0.00014537683,0.00046521443,0.00022183324,0.000021689775,0.00019259835],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0004481224,0.00020598402,0.00049870874,0.0000036042702,0.00013275989,0.000009571029,0.00018295244,0.00015672909,0.00015530447],"category_scores_gemma":[0.00017440866,0.00011683231,0.00012242634,0.00017070169,0.0036943892,0.00013317307,0.00032072313,0.00029321836,6.992704e-7],"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":[0.00017718898,0.00036398423,0.9893661,0.000108979075,0.0000345159,0.0000010000581,0.003712892,0.00023758847,0.0024541547,0.0000035369387,0.000025089597,0.0035149767],"study_design_scores_gemma":[0.00053863303,0.0012433343,0.9902279,0.000014304495,0.000044049964,0.000002139776,0.004282343,0.0016793298,0.0014100365,0.0002911229,0.00011350974,0.00015333372],"about_ca_topic_score_codex":0.00045561919,"about_ca_topic_score_gemma":0.0000107116275,"teacher_disagreement_score":0.004423491,"about_ca_system_score_codex":0.00004078627,"about_ca_system_score_gemma":0.000019070781,"threshold_uncertainty_score":0.999017},"labels":[],"label_agreement":null},{"id":"W3099771178","doi":"10.18280/ijdne.150506","title":"Measurement and Influencing Factors of Industrial Water Resource Utilization Efficiency in Yangtze River Economic Belt","year":2020,"lang":"en","type":"article","venue":"International Journal of Design & Nature and Ecodynamics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Tobit model; Midstream; Endowment; Upstream (networking); Water resources; Resource (disambiguation); China; Downstream (manufacturing); Index (typography); Geography; Business; Water resource management; Environmental science; Environmental engineering; Economics; Engineering; Ecology","score_opus":0.02800247996855921,"score_gpt":0.2420778965834485,"score_spread":0.2140754166148893,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3099771178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997913,0.00011346078,0.0012677229,0.0004082104,0.00009200613,0.000099792676,0.000004456377,0.0000021838387,0.00009918817],"genre_scores_gemma":[0.99956995,0.00005019741,0.00019453833,0.00013263641,0.0000405922,3.6685935e-7,0.0000027660697,0.000005734366,0.000003195062],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99902123,0.0000622669,0.000345754,0.00012469038,0.00033196158,0.00011410449],"domain_scores_gemma":[0.99965614,0.000033565353,0.00016024642,0.00004264455,0.00002092925,0.000086478605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004897493,0.00009617929,0.00014683971,0.000069048896,0.000026525904,0.000024808314,0.00016550443,0.000119481185,0.000060999122],"category_scores_gemma":[0.0001207927,0.00007227728,0.00003747698,0.000043897217,0.00011180729,0.00032270545,0.00010816621,0.00028380315,0.0000010511018],"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":[0.00037629702,0.00010901645,0.9411788,0.000011872968,0.000060585964,0.000023581853,0.0061043287,0.031506363,0.014207213,0.000045147746,0.0001144204,0.0062623713],"study_design_scores_gemma":[0.0040251315,0.0010427898,0.91081476,0.00014441957,0.00008169669,0.00006580866,0.0028196534,0.04907545,0.02795389,0.0020866294,0.0013954608,0.000494291],"about_ca_topic_score_codex":0.000057639038,"about_ca_topic_score_gemma":0.00002678685,"teacher_disagreement_score":0.03036402,"about_ca_system_score_codex":0.00041569822,"about_ca_system_score_gemma":0.00002044928,"threshold_uncertainty_score":0.2947382},"labels":[],"label_agreement":null},{"id":"W3104982408","doi":"10.1016/j.scitotenv.2020.143512","title":"A factorial CGE model for analyzing the impacts of stepped carbon tax on Chinese economy and carbon emission","year":2020,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":91,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Western Economic Diversification Canada; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computable general equilibrium; Carbon tax; Carbon fibers; Incentive; Greenhouse gas; Coal; Economics; Natural resource economics; Order (exchange); Macroeconomics; Waste management; Engineering; Microeconomics; Computer science","score_opus":0.010439642543768456,"score_gpt":0.22927609200019383,"score_spread":0.21883644945642539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3104982408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996115,0.000042207666,0.00004762812,0.0019737335,0.00006255518,0.000856445,0.000015486055,0.000005598047,0.0008813193],"genre_scores_gemma":[0.99965835,0.000020473104,0.000060450293,0.000057499532,0.000037435668,0.000017966153,4.791227e-7,0.0000113067035,0.00013602118],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99842006,0.00007623253,0.00029651032,0.00037047255,0.00048690254,0.0003498357],"domain_scores_gemma":[0.99888825,0.00010631971,0.00024419674,0.0005900756,0.0000029765044,0.0001681577],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008270516,0.0002052135,0.00021908712,0.000016897075,0.00030679625,0.000023714996,0.00072191976,0.000043817654,0.000036900918],"category_scores_gemma":[0.00016935938,0.00009476899,0.00011860901,0.00019462702,0.002014838,0.00014911909,0.0008348909,0.00015710822,0.0000012960044],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044584734,0.00022629008,0.03758296,0.000050667386,0.000031978514,3.5848728e-7,0.01088989,0.35930258,0.590128,0.00007541953,0.000036428934,0.0012295484],"study_design_scores_gemma":[0.00092504494,0.0006040286,0.13712454,0.000022358801,0.00008022215,0.0000027356184,0.0008656722,0.7706191,0.08655806,0.0028712302,0.000027435364,0.000299553],"about_ca_topic_score_codex":0.0002994864,"about_ca_topic_score_gemma":0.0000030927793,"teacher_disagreement_score":0.50356996,"about_ca_system_score_codex":0.00032054633,"about_ca_system_score_gemma":0.000029619923,"threshold_uncertainty_score":0.74237543},"labels":[],"label_agreement":null},{"id":"W3105418619","doi":"10.1016/j.jclepro.2020.125022","title":"Life cycle assessment of mulch use on Okanagan apple orchards: Part 2 - Consequential","year":2020,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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 British Columbia, Okanagan Campus; Agriculture and Agri-Food Canada; Okanagan University College; University of British Columbia","funders":"Agriculture and Agri-Food Canada","keywords":"Environmental science; Life-cycle assessment; Mulch; Bark (sound); Orchard; Greenhouse gas; Agroforestry; Agronomy; Forestry; Production (economics); Ecology; Biology; Geography","score_opus":0.027537249191370683,"score_gpt":0.2761307894612453,"score_spread":0.24859354026987462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3105418619","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99349,0.000008919201,0.00023862185,0.0051211608,0.00029891313,0.00020225828,0.0000057856355,0.000009384693,0.00062496524],"genre_scores_gemma":[0.99807906,0.000034744367,0.00072176155,0.0005967261,0.00039806872,0.0000016690107,0.0000032114276,0.000012725943,0.00015203378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99843675,0.00013934672,0.00048061347,0.00020697224,0.0005654175,0.00017092809],"domain_scores_gemma":[0.99907845,0.00002656213,0.000403866,0.00018998986,0.000022636019,0.00027851883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005298887,0.0001185983,0.00022812438,0.000032339456,0.00006759792,0.000024007142,0.00014104084,0.00004722914,0.0015285284],"category_scores_gemma":[0.0005181332,0.00009798174,0.00011420718,0.00012914247,0.00022119675,0.0005498968,0.00007408891,0.0002569868,0.000023851448],"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":[0.0013850012,0.0021210108,0.36205798,0.00017045691,0.00021337526,0.0000810815,0.0036753556,0.40593052,0.111571,0.00015948544,0.09142194,0.021212796],"study_design_scores_gemma":[0.002754529,0.004463258,0.7071539,0.0000880281,0.00026264813,0.0001608013,0.004710461,0.0048920847,0.092338905,0.00086004584,0.1815695,0.0007457991],"about_ca_topic_score_codex":0.000056972305,"about_ca_topic_score_gemma":0.000005601521,"teacher_disagreement_score":0.40103844,"about_ca_system_score_codex":0.000244655,"about_ca_system_score_gemma":0.000045666322,"threshold_uncertainty_score":0.9993842},"labels":[],"label_agreement":null},{"id":"W3107619345","doi":"10.1088/1755-1315/588/4/042039","title":"An attempt to create the holistic flow chart of forest resources","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":"Chart; Flow chart; Organizational chart; Sustainability; Sustainable development; Material flow analysis; Product (mathematics); Forest product; Resource (disambiguation); Environmental resource management; Business; Forest management; Environmental economics; Computer science; Environmental science; Engineering; Economics; Agroforestry; Ecology; Systems engineering; Waste management; Mathematics","score_opus":0.01838828119751806,"score_gpt":0.2276764759583349,"score_spread":0.20928819476081684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3107619345","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960718,0.000024235145,0.000112668546,0.0015646087,0.00003623037,0.0003665999,0.000050865325,0.000023673449,0.0017492978],"genre_scores_gemma":[0.998088,0.000051208986,0.00061190117,0.0009622775,0.000029841003,0.000015300851,0.0000067986834,0.000010788633,0.00022390472],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99794406,0.00006703005,0.00025436157,0.0006070519,0.0006147813,0.00051272847],"domain_scores_gemma":[0.9987552,0.000033058815,0.00008044795,0.00043725525,0.000003733674,0.00069028215],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00036936524,0.00022762346,0.00020998245,0.000025152009,0.0005118335,0.00012472468,0.00068728335,0.000045091823,0.0015789708],"category_scores_gemma":[0.00008812998,0.00016466984,0.00004090757,0.0003099144,0.0039789234,0.00092285924,0.0005875082,0.00013939664,0.00013234417],"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":[0.00023599167,0.00016264623,0.40818372,0.000025403038,0.000007777868,0.000012921441,0.016218986,0.0040088454,0.54613304,0.00023074797,0.0000856337,0.024694288],"study_design_scores_gemma":[0.00016943167,0.00079516857,0.94385844,0.0000069878574,0.000011153515,0.000011638736,0.0056975856,0.0023553625,0.04221204,0.00011420735,0.004519488,0.00024851723],"about_ca_topic_score_codex":0.0002751225,"about_ca_topic_score_gemma":0.00016359559,"teacher_disagreement_score":0.5356747,"about_ca_system_score_codex":0.00006381603,"about_ca_system_score_gemma":0.000018745633,"threshold_uncertainty_score":0.99933374},"labels":[],"label_agreement":null},{"id":"W3108534809","doi":"","title":"Étude de faisabilité d'un collecteur solaire perforé non-vitré jumelé à des échangeurs d'air pour un bâtiment agricole","year":2019,"lang":"fr","type":"article","venue":"Espace École de technologie supérieure (École de technologie supérieure)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Forestry; Humanities; Political science; Geography; Art","score_opus":0.007784525595138757,"score_gpt":0.23087654512130168,"score_spread":0.22309201952616292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3108534809","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94399446,0.0057270066,0.013160177,0.022550955,0.00075150543,0.0064329426,0.00035989942,0.0045944434,0.0024286022],"genre_scores_gemma":[0.9516922,0.0026500507,0.020776188,0.0020897496,0.00017657482,0.0013973287,0.00006616032,0.00047088874,0.020680862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98452055,0.00073032064,0.0018348021,0.0038787841,0.0017411215,0.0072944365],"domain_scores_gemma":[0.9914697,0.0008045295,0.0009266992,0.0052590454,0.00019124073,0.0013488252],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.0032409828,0.002842931,0.0023368225,0.00093994616,0.0017316813,0.00045047203,0.00580171,0.0053768246,0.004878207],"category_scores_gemma":[0.0030519362,0.0029961616,0.0012144162,0.0050629606,0.006172743,0.0014651056,0.0054049897,0.005236511,0.003288292],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005648839,0.004510907,0.79334515,0.0009021525,0.00047449453,0.001291631,0.003399195,0.042233076,0.09509345,0.0007003204,0.010455357,0.047029365],"study_design_scores_gemma":[0.0054104137,0.00525887,0.56373996,0.0005910451,0.0006746528,0.0011583874,0.0541298,0.033033125,0.2903906,0.016198035,0.024530658,0.0048844595],"about_ca_topic_score_codex":0.00286478,"about_ca_topic_score_gemma":0.0029862828,"teacher_disagreement_score":0.22960523,"about_ca_system_score_codex":0.010476225,"about_ca_system_score_gemma":0.0010721064,"threshold_uncertainty_score":0.9995774},"labels":[],"label_agreement":null},{"id":"W3109011904","doi":"10.5547/issn0195-6574-ej-vol31-no1-6","title":"Energy Substitutability in Canadian Manufacturing Econometric Estimation with Bootstrap Confidence Intervals","year":2010,"lang":"en","type":"article","venue":"The Energy Journal","topic":"Environmental Impact and Sustainability","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":"University of Ottawa","funders":"","keywords":"Econometrics; Economics; Point estimation; Estimation; Confidence interval; Flexibility (engineering); Pairwise comparison; Resampling; Manufacturing; Point (geometry); Energy (signal processing); Capital (architecture); Statistics; Mathematics; Business","score_opus":0.008098903265388141,"score_gpt":0.22154674382212322,"score_spread":0.21344784055673507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109011904","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913928,0.000018912997,0.0015751079,0.000564234,0.00012824127,0.000045128858,0.0000016799277,0.000007315622,0.006266587],"genre_scores_gemma":[0.9991864,0.000016192882,0.00028775292,0.00020872508,0.000038727176,0.0000069502553,0.0000017946578,0.000009425292,0.0002440598],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880093,0.000092131544,0.00025340548,0.00019027153,0.0002030797,0.0004601594],"domain_scores_gemma":[0.9991934,0.000058915768,0.00009933267,0.00029014627,0.0000043762284,0.0003538845],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008091677,0.00014228954,0.00012903022,0.00011482055,0.00025582005,0.00009778062,0.0003721171,0.00006432241,0.0030078716],"category_scores_gemma":[0.000052189433,0.000093435316,0.00004556856,0.00018618355,0.00036761392,0.00048462767,0.00006124526,0.0003818763,0.000018053333],"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":[0.00009818811,0.0001739471,0.7526765,0.00000781351,0.00003082369,0.000120667195,0.0011657362,0.091589615,0.0018289707,0.0030748472,0.00016020155,0.14907269],"study_design_scores_gemma":[0.00031747628,0.00008015238,0.9657045,0.0000097194425,0.000010035427,0.00038330862,0.00025918204,0.0063232915,0.0140042305,0.008364173,0.0043095388,0.00023436711],"about_ca_topic_score_codex":0.2890962,"about_ca_topic_score_gemma":0.70891255,"teacher_disagreement_score":0.41981634,"about_ca_system_score_codex":0.0007650577,"about_ca_system_score_gemma":0.0000779621,"threshold_uncertainty_score":0.9979035},"labels":[],"label_agreement":null},{"id":"W3109570958","doi":"10.1088/1755-1315/588/2/022029","title":"Comparison of the greenhouse gas emissions of a high-rise residential building assessed with different national LCA approaches – IEA EBC Annex 72","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Greenhouse gas; Context (archaeology); Life-cycle assessment; Scope (computer science); Benchmark (surveying); Environmental science; Building information modeling; Environmental impact assessment; Civil engineering; Architectural engineering; Engineering; Environmental resource management; Computer science; Operations management; Geography","score_opus":0.03155462129472443,"score_gpt":0.24586302481834935,"score_spread":0.2143084035236249,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3109570958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99785006,0.000036557954,0.00022341151,0.00065431866,0.000033040065,0.00035320275,0.000054748252,0.00001547499,0.0007792138],"genre_scores_gemma":[0.99892366,0.000035142893,0.000825341,0.000055818207,0.000015521748,0.000011269937,0.0000059101517,0.00001126302,0.00011609828],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973674,0.00008961951,0.00037585886,0.00054734026,0.001185054,0.0004347592],"domain_scores_gemma":[0.9990498,0.00004312966,0.000257732,0.00030156475,0.0000075799144,0.00034022404],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002555671,0.00025462007,0.00033280038,0.000033213695,0.00048272192,0.00006364101,0.0005816605,0.00006433306,0.00075104827],"category_scores_gemma":[0.00007773301,0.00016991021,0.00006296477,0.00033322317,0.004810824,0.000743666,0.0008411674,0.0002028625,0.000005015168],"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":[0.00022799954,0.00042415535,0.4394465,0.00004922745,0.000015085903,0.000002325378,0.002676715,0.0024208957,0.5509192,0.00049820327,0.000035071265,0.0032846492],"study_design_scores_gemma":[0.00035539415,0.00043530273,0.6857576,0.000024130453,0.000019381645,0.000006760967,0.0027416372,0.0021156883,0.30799025,0.00023083556,0.00013340273,0.00018962537],"about_ca_topic_score_codex":0.00026947542,"about_ca_topic_score_gemma":0.00013306427,"teacher_disagreement_score":0.24631105,"about_ca_system_score_codex":0.00010863602,"about_ca_system_score_gemma":0.00006572422,"threshold_uncertainty_score":0.9978975},"labels":[],"label_agreement":null},{"id":"W3110911489","doi":"10.1016/j.rser.2020.110652","title":"Energy return on investment (EROI) of biomass conversion systems in China: Meta-analysis focused on system boundary unification","year":2020,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canadian Nuclear Safety Commission; China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Biomass (ecology); Biofuel; Renewable energy; Bioenergy; Environmental science; Raw material; Fossil fuel; Electricity generation; Waste management; Renewable fuels; Pulp and paper industry; Agricultural engineering; Engineering; Agronomy; Chemistry","score_opus":0.027666783466916228,"score_gpt":0.2336614981110751,"score_spread":0.20599471464415886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3110911489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7250114,0.13790584,0.009242825,0.004717556,0.0002737604,0.00511379,0.00008969059,0.0003042724,0.11734085],"genre_scores_gemma":[0.99242336,0.0025312232,0.00005172118,0.00059282914,0.000018884806,0.00015692573,0.00005060404,0.0000230809,0.0041513853],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966833,0.0007658286,0.00084996846,0.00071751646,0.00044933744,0.0005340199],"domain_scores_gemma":[0.99853617,0.00006987118,0.00043060322,0.00064686465,0.000016880933,0.00029961346],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011662645,0.00037949233,0.0014100397,0.00019179801,0.00019612865,0.000063878,0.0002716272,0.00014957298,0.00019048898],"category_scores_gemma":[0.00006142001,0.00028253815,0.00047368376,0.0014114868,0.00018515444,0.00027919444,0.00021095306,0.00010342539,0.00000830305],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.003478045,0.0057902043,0.0747092,0.024570858,0.03744175,0.0013731847,0.009086224,0.5590231,0.030423973,0.19977076,0.037250474,0.017082209],"study_design_scores_gemma":[0.0021424475,0.0023940129,0.0048311166,0.00013731833,0.019382272,0.000009406266,0.010166918,0.030208182,0.017399969,0.0008946206,0.9108585,0.0015752332],"about_ca_topic_score_codex":0.027085707,"about_ca_topic_score_gemma":0.0002277433,"teacher_disagreement_score":0.87360805,"about_ca_system_score_codex":0.00096576154,"about_ca_system_score_gemma":0.000036502912,"threshold_uncertainty_score":0.9999627},"labels":[],"label_agreement":null},{"id":"W3111883293","doi":"10.1080/0013791x.2020.1853863","title":"Optimal Replacement, Retrofit, and Management of a Fleet of Assets under Regulations of an Emissions Trading System","year":2020,"lang":"en","type":"article","venue":"The Engineering Economist","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Purchasing; Greenhouse gas; Business; Emissions trading; Finance; Industrial organization; Environmental economics; Natural resource economics; Commerce; Economics","score_opus":0.011340523983263247,"score_gpt":0.2112505820420531,"score_spread":0.19991005805878986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3111883293","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9968918,0.000017514238,0.0015805583,0.00011936226,0.0000138413225,0.0001655638,0.000011709989,0.0000137090055,0.0011859196],"genre_scores_gemma":[0.99766475,0.0000054642965,0.0022477808,0.0000059869863,0.0000057281563,0.0000048634774,0.000002792203,0.000007870319,0.000054793498],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99947673,0.00001493292,0.00022762407,0.0001248933,0.00006249987,0.0000933123],"domain_scores_gemma":[0.9996064,0.00002298534,0.00008467894,0.00021180858,0.0000013555532,0.00007280359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001859615,0.00007237396,0.00013647827,0.000010910382,0.000031633484,0.000004522547,0.00011489887,0.00002102817,0.00009391105],"category_scores_gemma":[0.0000067308033,0.00006164095,0.000031029245,0.000058465608,0.0000826681,0.0000916756,0.000095200696,0.00003965688,8.3239183e-7],"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":[0.00009599041,0.00009715425,0.027858617,0.000986576,0.00013160167,0.000002090486,0.0024442603,0.9316354,0.03196447,0.004176955,0.00011056571,0.0004963556],"study_design_scores_gemma":[0.00069299334,0.00024770034,0.47632736,0.00009379081,0.00008580104,0.000006469716,0.004492306,0.50071317,0.016839366,0.000047069658,0.00024802453,0.0002059329],"about_ca_topic_score_codex":0.000039133694,"about_ca_topic_score_gemma":9.913985e-7,"teacher_disagreement_score":0.44846871,"about_ca_system_score_codex":0.00010445976,"about_ca_system_score_gemma":0.0000023908513,"threshold_uncertainty_score":0.2513645},"labels":[],"label_agreement":null},{"id":"W3112568989","doi":"10.1088/1755-1315/588/3/032048","title":"Embodied GHG emissions of buildings – Critical reflection of benchmark comparison and in-depth analysis of drivers","year":2020,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"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 Sherbrooke","funders":"Bundesministerium für Verkehr, Innovation und Technologie; Österreichische Forschungsförderungsgesellschaft; Österreichischen Akademie der Wissenschaften","keywords":"Embodied cognition; Reflection (computer programming); Greenhouse gas; Benchmark (surveying); Critical reflection; Environmental science; Architectural engineering; Engineering; Computer science; Psychology; Geology; Geography; Artificial intelligence; Cartography","score_opus":0.01898512406822953,"score_gpt":0.2730247235355856,"score_spread":0.25403959946735605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112568989","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975129,0.000043745487,0.00008890991,0.00018058663,0.000014749111,0.0001315669,0.000028461269,0.0000050612243,0.0019940338],"genre_scores_gemma":[0.9986347,0.00016013706,0.0011408784,0.000031032476,0.0000020869525,0.0000022653528,0.0000055291785,0.000003626857,0.000019772655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99843335,0.00004814933,0.00039381985,0.00041550188,0.00043458393,0.00027460037],"domain_scores_gemma":[0.9993461,0.00005501573,0.00014296062,0.00016875246,0.000005170774,0.00028201577],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0002686298,0.00014675222,0.00039041345,0.00010268562,0.00011842499,0.000016253654,0.00019607082,0.000058129728,0.00075047906],"category_scores_gemma":[0.00012915015,0.00013644736,0.000053628286,0.00071569846,0.004758152,0.0005695407,0.00036156463,0.00011527985,0.0000012333669],"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":[0.00007026032,0.00008404068,0.60706365,0.000026362099,0.000010673836,9.70186e-7,0.002338394,0.00046820327,0.38736454,0.00015196452,0.0000019399504,0.0024190082],"study_design_scores_gemma":[0.00017078142,0.0003275236,0.8645339,0.000012566952,0.000065341264,0.0000014191656,0.0047339606,0.0033111263,0.12656681,0.0001009705,0.00005364941,0.00012194964],"about_ca_topic_score_codex":0.00033115046,"about_ca_topic_score_gemma":0.00015256614,"teacher_disagreement_score":0.2607977,"about_ca_system_score_codex":0.000058192574,"about_ca_system_score_gemma":0.000019489324,"threshold_uncertainty_score":0.9979503},"labels":[],"label_agreement":null},{"id":"W3112844264","doi":"10.1177/2455747120923557","title":"Cities and Greenhouse Gas Emissions: Moving Forward","year":2020,"lang":"en","type":"article","venue":"Urbanisation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"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":"Greenhouse gas; Per capita; Metropolitan area; Carbon dioxide equivalent; Agricultural economics; Consumption (sociology); Natural resource economics; Tonne; Geography; Environmental science; Business; Environmental protection; Economic growth; Economics; Population","score_opus":0.013527030192550953,"score_gpt":0.21764591020559043,"score_spread":0.2041188800130395,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3112844264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99341047,0.0000388253,0.0010480601,0.0015269008,0.000014891848,0.00013714113,0.0000021112385,0.000050303035,0.003771301],"genre_scores_gemma":[0.9981126,0.00002281271,0.00066579814,0.00074317015,0.000027917078,0.000005497811,0.0000041115436,0.0000082148035,0.00040984075],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99942523,0.00002645853,0.00010243532,0.0001706324,0.00014584852,0.00012940625],"domain_scores_gemma":[0.9997231,0.000022072436,0.000030977695,0.00008759497,0.0000011517672,0.00013511941],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000078458776,0.00007610348,0.00006609414,0.000007156259,0.0001109023,0.00002633802,0.000056104687,0.000035012596,0.0012410355],"category_scores_gemma":[0.00008597621,0.00006943192,0.000020934029,0.00005667785,0.00010937992,0.00028469745,0.000113613896,0.000058252685,0.00008713825],"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":[0.00003285612,0.000046024295,0.94267726,0.00003049088,0.000006026364,0.0000053423432,0.010481637,0.00043742824,0.018875211,0.0002639792,0.0044010864,0.022742653],"study_design_scores_gemma":[0.0006226106,0.0003610342,0.9316253,0.000010695136,0.000028858729,0.0000072749262,0.005282965,0.01849053,0.0058979215,0.0075091384,0.029754661,0.0004090331],"about_ca_topic_score_codex":0.00014614515,"about_ca_topic_score_gemma":0.000009968208,"teacher_disagreement_score":0.025353575,"about_ca_system_score_codex":0.000118242264,"about_ca_system_score_gemma":0.0000036328038,"threshold_uncertainty_score":0.99967194},"labels":[],"label_agreement":null},{"id":"W3114295241","doi":"10.18280/ijsdp.150802","title":"A Review on Consequential Life Cycle Assessment in the Power Sector","year":2020,"lang":"en","type":"review","venue":"International Journal of Sustainable Development and Planning","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Economic sector; Life-cycle assessment; Economic impact analysis; Environmental impact assessment; Secondary sector of the economy; Environmental economics; Electric power system; Economics; Natural resource economics; Power (physics); Economy; Production (economics); Macroeconomics; Ecology","score_opus":0.029582419087838405,"score_gpt":0.3324290793691476,"score_spread":0.3028466602813092,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3114295241","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0034185797,0.99175555,0.000038914397,0.00076028804,0.00020599859,0.0005824341,0.000004099251,0.000004985152,0.003229174],"genre_scores_gemma":[0.0054151188,0.9919198,0.00032894843,0.002036073,0.000101142716,0.000027976523,0.000019289424,0.000018065213,0.00013357034],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976606,0.00025591915,0.00085135375,0.00022102085,0.0007295184,0.00028162624],"domain_scores_gemma":[0.99892145,0.00022105341,0.00057981437,0.00010361847,0.000034777615,0.00013927097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001382645,0.00028113832,0.0006919346,0.00014205332,0.00009252679,0.0001161843,0.000625798,0.000089074725,0.00055505015],"category_scores_gemma":[0.00031577723,0.00017983282,0.00016435317,0.0002110064,0.000086800836,0.00024591255,0.00025632553,0.0007063221,0.000019264551],"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":[0.0002017988,0.0006832535,0.0037107621,0.014164237,0.00090915145,0.028414926,0.0139101315,0.00034540656,5.4482496e-7,0.000821296,0.025787426,0.9110511],"study_design_scores_gemma":[0.00023433498,0.00007925477,0.0017499339,0.0071679335,0.00006702057,0.00021580867,0.0038003032,0.0000044832204,2.2598024e-7,0.000082049664,0.98639995,0.00019871272],"about_ca_topic_score_codex":0.000016878703,"about_ca_topic_score_gemma":0.0000010146847,"teacher_disagreement_score":0.96061254,"about_ca_system_score_codex":0.0011304033,"about_ca_system_score_gemma":0.00045036885,"threshold_uncertainty_score":0.7333369},"labels":[],"label_agreement":null},{"id":"W3115120690","doi":"10.18174/533542","title":"Raming CO2-emissie glastuinbouw 2020","year":2020,"lang":"nl","type":"report","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Impact","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.016659927869639143,"score_gpt":0.26341609840855607,"score_spread":0.2467561705389169,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3115120690","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1379066,0.0011339793,0.0005316552,0.003076479,0.0015075535,0.0019617907,0.00018607487,0.00027200094,0.8534239],"genre_scores_gemma":[0.75187427,0.0037187957,0.0011878348,0.001106142,0.00091317325,0.000052530464,0.00024345059,0.0001799144,0.24072391],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9920877,0.0002667528,0.0014414822,0.0021167581,0.0024815656,0.0016057008],"domain_scores_gemma":[0.9961604,0.0001981715,0.00062739645,0.0013417812,0.00002465547,0.0016476109],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0010606906,0.0012868757,0.0013722489,0.000053916305,0.00056818256,0.00027437892,0.0011884165,0.00092404895,0.14531475],"category_scores_gemma":[0.0007950929,0.0011895143,0.00074798445,0.00062164065,0.001340164,0.0005674174,0.002309478,0.001590071,0.019708503],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023107778,0.0015315436,0.51947474,0.0017081538,0.0005269463,0.0020008455,0.002074356,0.00083316944,0.009055124,0.00005153235,0.3647845,0.097728],"study_design_scores_gemma":[0.0006729536,0.00050522434,0.2482973,0.00012304766,0.00030156074,0.00020528564,0.0025599978,0.0010670103,0.0019530229,0.00025222756,0.7422385,0.0018238295],"about_ca_topic_score_codex":0.00186457,"about_ca_topic_score_gemma":0.000105248284,"teacher_disagreement_score":0.61396766,"about_ca_system_score_codex":0.0044851447,"about_ca_system_score_gemma":0.0003939732,"threshold_uncertainty_score":0.9999883},"labels":[],"label_agreement":null},{"id":"W3116370236","doi":"10.32732/ase.2020.12.2.67","title":"The Impact of Coal and Biomass Co-Firing on the Economy of Power Plant Carbon Capture","year":2020,"lang":"en","type":"article","venue":"Advances in Sciences and Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Natural Resources Canada","funders":"Natural Resources Canada; University of Ottawa","keywords":"Biomass (ecology); Coal; Carbon fibers; Incentive; Environmental science; Electricity; Waste management; Carbon capture and storage (timeline); Power station; Stack (abstract data type); Carbon neutrality; Greenhouse gas; Natural resource economics; Process engineering; Environmental economics; Economics; Engineering; Computer science; Climate change; Ecology; Microeconomics","score_opus":0.00652237833752783,"score_gpt":0.23396325246820454,"score_spread":0.2274408741306767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3116370236","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944281,0.0008838743,0.000021589622,0.00019626365,0.000014906626,0.00007767586,0.00000332652,0.000002982929,0.0043712915],"genre_scores_gemma":[0.9997879,0.00014917507,0.000034488385,0.000018711911,0.0000036884182,0.0000021221547,1.1983732e-7,0.0000021035783,0.0000016616966],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999537,0.000010548912,0.00010798528,0.00011948298,0.0000850744,0.00013991572],"domain_scores_gemma":[0.9997225,0.00013536499,0.00003623677,0.00006256443,8.2143777e-7,0.000042548672],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002069742,0.00006941637,0.00008462685,0.000012884879,0.00005700821,0.000013538136,0.000121266785,0.000014856425,0.000009639981],"category_scores_gemma":[0.000037313675,0.00003552901,0.000018503535,0.00012123797,0.000452262,0.00015291345,0.0000654069,0.000059032205,1.7000193e-7],"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":[0.000017551754,0.000014055362,0.90669745,0.000024394702,0.0000050475105,0.000001640473,0.0015752829,0.08376443,0.00621839,0.0006815688,0.000008445778,0.0009917564],"study_design_scores_gemma":[0.00026052824,0.00059288525,0.9038819,0.000037010126,0.000004054951,0.0000062491363,0.0036374817,0.08211397,0.006598054,0.00088361837,0.00176949,0.00021474893],"about_ca_topic_score_codex":0.00010845813,"about_ca_topic_score_gemma":0.000010569027,"teacher_disagreement_score":0.00535984,"about_ca_system_score_codex":0.000031787717,"about_ca_system_score_gemma":0.0000037215902,"threshold_uncertainty_score":0.16663782},"labels":[],"label_agreement":null},{"id":"W3117806615","doi":"10.1155/2020/8819694","title":"The Approach to Carbon Emission Quotas of Road Transportation: A Carbon Emission Intensity Perspective","year":2020,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Emission intensity; Carbon fibers; Baseline (sea); Greenhouse gas; Data envelopment analysis; Environmental science; Environmental economics; Incentive; China; Delphi method; Transport engineering; Natural resource economics; Economics; Computer science; Engineering; Geography; Statistics; Mathematics; Microeconomics","score_opus":0.008757462837532351,"score_gpt":0.24085427756347855,"score_spread":0.2320968147259462,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117806615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99674195,0.00012934016,0.000517883,0.0013028003,0.00008992891,0.00032556214,0.000006994127,0.000010720283,0.00087479624],"genre_scores_gemma":[0.9982832,0.00006444576,0.0014303483,0.000107709166,0.00004527566,0.0000044955227,0.000008018543,0.000014667583,0.00004181017],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99831694,0.00005162488,0.0006206813,0.0002309878,0.0005800529,0.0001997352],"domain_scores_gemma":[0.99903524,0.000031982352,0.00041793034,0.00014620875,0.00008390117,0.00028472347],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027323104,0.00016868625,0.0002909945,0.000029577228,0.00010031763,0.000009476125,0.00020281806,0.000068348934,0.00001826154],"category_scores_gemma":[0.000087923894,0.00012030042,0.00015207252,0.00033057024,0.00013110728,0.000258717,0.000005530636,0.00026611926,4.1420267e-7],"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":[0.0052546207,0.0006355758,0.3307774,0.00012458173,0.0000904479,0.000047759164,0.10549954,0.106909804,0.4371214,0.00006496737,0.0001306486,0.013343272],"study_design_scores_gemma":[0.0008920748,0.00071724266,0.93783355,0.000043665088,0.000087659835,0.0000046965615,0.029675974,0.0008090935,0.028686924,0.0005055869,0.00054972136,0.0001937996],"about_ca_topic_score_codex":0.00025081457,"about_ca_topic_score_gemma":0.000050285857,"teacher_disagreement_score":0.60705614,"about_ca_system_score_codex":0.00032226398,"about_ca_system_score_gemma":0.00003243111,"threshold_uncertainty_score":0.4905709},"labels":[],"label_agreement":null},{"id":"W3117908995","doi":"","title":"LCA of sewage sludge treatment and disposal options: Quebec City case study","year":2012,"lang":"en","type":"article","venue":"Submitted in <b>2012</b>","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Waste management; Sewage sludge; Environmental science; Waste disposal; Sewage; Environmental planning; Business; Environmental engineering; Engineering","score_opus":0.017280841964786048,"score_gpt":0.27458689386922414,"score_spread":0.2573060519044381,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3117908995","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99763703,0.00030757286,0.00002557881,0.000061257095,0.0000762815,0.0008368381,0.000019327528,0.000025821615,0.0010102895],"genre_scores_gemma":[0.9982757,0.00003696252,0.00022331254,0.00003456275,0.000026600497,0.00006865917,0.000006851989,0.000016623007,0.001310759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984596,0.00021777736,0.00033628038,0.00030261502,0.00019725946,0.00048650987],"domain_scores_gemma":[0.99918216,0.00008004081,0.000085960266,0.0004096193,0.0000037547527,0.00023846995],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048363578,0.00023073636,0.00027370153,0.00006168591,0.00011304054,0.000016794915,0.00010489857,0.00008506552,0.0013117681],"category_scores_gemma":[0.000035412933,0.00019267666,0.0000625728,0.00024594172,0.00036416508,0.00084347784,0.00020737218,0.00012789236,0.000046723122],"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":[0.00003357183,0.0023523546,0.98265,0.000009087743,0.0000148751415,0.000118299395,0.0063473685,0.000023223858,0.00089822564,0.000016541553,0.00008282466,0.0074536544],"study_design_scores_gemma":[0.0010028259,0.00033881544,0.98562455,0.0000041688922,0.000041191386,0.00012217068,0.011303367,0.00004708397,0.00064173865,0.000054773132,0.00060595036,0.0002133692],"about_ca_topic_score_codex":0.042248193,"about_ca_topic_score_gemma":0.027954979,"teacher_disagreement_score":0.014293214,"about_ca_system_score_codex":0.0007678184,"about_ca_system_score_gemma":0.000012738474,"threshold_uncertainty_score":0.9996012},"labels":[],"label_agreement":null},{"id":"W3119383149","doi":"10.1007/s42452-020-03979-2","title":"Temporally-differentiated biogenic carbon accounting of wood building product life cycles","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Centre de Géomatique du Québec; Université Laval; Natural Resources Canada; Canadian Forest Service; Polytechnique Montréal","funders":"Natural Resources Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Demolition; Environmental science; Greenhouse gas; Carbon accounting; Carbon fibers; Life-cycle assessment; Work (physics); Product (mathematics); Environmental engineering; Production (economics); Engineering; Civil engineering; Ecology; Computer science","score_opus":0.013940983204313829,"score_gpt":0.24501114974516264,"score_spread":0.2310701665408488,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119383149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98017204,0.00015398595,0.000028488092,0.00019279354,0.000088702865,0.00021685634,0.0000032894357,0.00004187537,0.019101992],"genre_scores_gemma":[0.9978615,0.000011165942,0.0018805856,0.000086582804,0.00003312291,0.000012151998,0.000003860827,0.000010195116,0.000100802405],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99791545,0.00005458425,0.00033693362,0.0006187063,0.0006189437,0.00045535728],"domain_scores_gemma":[0.99931824,0.000043620174,0.00016754687,0.0003312357,0.000008866197,0.00013047342],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007168697,0.00017965557,0.0002360064,0.00005350675,0.00026709496,0.00006934138,0.00041588838,0.000053647655,0.0006728854],"category_scores_gemma":[0.00013033436,0.00015296516,0.00007120998,0.0009067647,0.0009717872,0.00020272298,0.00046723938,0.00011653241,0.000021403293],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008221426,0.00013517182,0.34422135,0.000022260312,0.000010269381,0.0000026212301,0.00033561024,0.000490185,0.6525674,0.00028644162,0.000036099325,0.0018844157],"study_design_scores_gemma":[0.00029157483,0.00004779011,0.41802263,0.000014905156,0.000026269441,0.0000049196633,0.0023274322,0.00061939325,0.5748732,0.0031945473,0.00022495945,0.00035234995],"about_ca_topic_score_codex":0.0003345953,"about_ca_topic_score_gemma":0.00006646695,"teacher_disagreement_score":0.07769413,"about_ca_system_score_codex":0.00012196657,"about_ca_system_score_gemma":0.00007405837,"threshold_uncertainty_score":0.7367623},"labels":[],"label_agreement":null},{"id":"W3119795958","doi":"10.1007/978-981-33-4377-1_4","title":"From Field to Bottle: Water Footprint Estimation in the Winery Industry","year":2021,"lang":"en","type":"book-chapter","venue":"Environmental footprints and eco-design of products and processes","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bottling line; Winery; Benchmarking; Environmental science; Wine; Water use; Water efficiency; Production (economics); Vineyard; Agricultural engineering; Environmental engineering; Engineering; Business; Geography","score_opus":0.014656883308097082,"score_gpt":0.22225414315473366,"score_spread":0.20759725984663657,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3119795958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97420514,0.0012547198,0.00029671806,0.0029724177,0.000109791596,0.0015675001,0.000049668633,0.000018677569,0.019525375],"genre_scores_gemma":[0.97721624,0.0007870675,0.0012589645,0.00038903006,0.000087452645,0.00003985104,0.000051600902,0.00004053848,0.020129243],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9980353,0.000058313784,0.00042457227,0.00079255895,0.00037308276,0.00031613305],"domain_scores_gemma":[0.99916977,0.00013135611,0.000116696116,0.00045495428,0.000004063754,0.00012316712],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044043345,0.00039646216,0.0003860278,0.00005008617,0.0001248979,0.0000678509,0.00025523824,0.00033487479,0.0020277887],"category_scores_gemma":[0.00008743263,0.00027260996,0.000035735353,0.000045738485,0.0003221697,0.00014913277,0.00047295867,0.0004989673,0.00003868517],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0017307637,0.0033326896,0.14931515,0.0039181877,0.0006756501,0.00057441957,0.05763921,0.012866463,0.16343184,0.0014574564,0.006435271,0.5986229],"study_design_scores_gemma":[0.0029205256,0.0037825713,0.27225506,0.0014165469,0.0006337246,0.00021509606,0.008601546,0.000252302,0.42873764,0.07714684,0.19877285,0.0052652867],"about_ca_topic_score_codex":0.00020718462,"about_ca_topic_score_gemma":0.000023155557,"teacher_disagreement_score":0.5933576,"about_ca_system_score_codex":0.00012756603,"about_ca_system_score_gemma":0.000018908167,"threshold_uncertainty_score":0.9999726},"labels":[],"label_agreement":null},{"id":"W3120291882","doi":"10.5430/rwe.v12n2p37","title":"Do the Key Sectors Depend on Changing the Income Level of Countries?","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Economic sector; Developing country; Key (lock); Business; Demographic economics; Economics; Development economics; Economic growth; Geography; Economy","score_opus":0.11142434111966527,"score_gpt":0.35605576123129423,"score_spread":0.24463142011162897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3120291882","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9259765,0.000084802996,0.000007520627,0.003491894,0.00003592159,0.00031672695,0.000008836155,0.000003873448,0.07007392],"genre_scores_gemma":[0.99615186,0.00004160477,0.000022899307,0.00021869794,0.000032581735,0.00004196438,0.000001760365,0.000009340837,0.0034792733],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99831176,0.00035448582,0.00020554205,0.00025322326,0.0003366007,0.0005383802],"domain_scores_gemma":[0.99866146,0.00066367845,0.000039311257,0.00055177,0.000009019166,0.00007475541],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029563713,0.00009330618,0.00012540436,0.00009726295,0.0002698575,0.00006840183,0.00042500376,0.000029433137,0.005209654],"category_scores_gemma":[0.000075148026,0.000058563644,0.000050805746,0.0006317225,0.00054023217,0.00016849769,0.00047751796,0.00041995768,0.00030028026],"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":[0.0000444522,0.00015206292,0.98306113,0.000041962656,0.000017808326,0.00003793669,0.0033086434,0.0023774535,0.00015060243,0.0063329223,0.0006375417,0.0038374588],"study_design_scores_gemma":[0.00049424544,0.00008355924,0.8305584,0.000052705826,0.0000037643665,0.000007531342,0.006192437,0.000691037,0.011251267,0.015220367,0.13522728,0.00021735996],"about_ca_topic_score_codex":0.00048220105,"about_ca_topic_score_gemma":0.0030128732,"teacher_disagreement_score":0.15250272,"about_ca_system_score_codex":0.0007149302,"about_ca_system_score_gemma":0.000040243638,"threshold_uncertainty_score":0.9956997},"labels":[],"label_agreement":null},{"id":"W3121177022","doi":"10.55016/ojs/sppp.v10i1.43059","title":"Big and Little Feet Provincial Profiles: Prince Edward Island","year":2017,"lang":"en","type":"article","venue":"The School of Public Policy Publications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary","funders":"Alberta Innovates","keywords":"Nova scotia; Greenhouse gas; Context (archaeology); Consumption (sociology); Economy; Agricultural economics; Economics; Geography; Archaeology; Sociology; Oceanography","score_opus":0.02185714272419792,"score_gpt":0.2906298531186725,"score_spread":0.2687727103944746,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121177022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.83893794,0.000029537443,0.0002288139,0.050994042,0.000048829806,0.00068171934,0.00008745393,0.00004817155,0.1089435],"genre_scores_gemma":[0.98896885,0.000029832037,0.00025140727,0.00030406038,0.00020308739,0.000109501,0.00001101097,0.000013702436,0.01010853],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985893,0.0001100485,0.00026607251,0.0002916816,0.0003274547,0.00041545118],"domain_scores_gemma":[0.9978728,0.000054993146,0.00028319802,0.00143018,0.000026904247,0.00033187843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009009028,0.00014959008,0.00015404464,0.00007904961,0.0009334998,0.000407197,0.0010973114,0.00007529923,0.0008010904],"category_scores_gemma":[0.0028660756,0.00010565214,0.000058499252,0.00021875947,0.0015458713,0.0010653185,0.0009599291,0.0001910183,0.0001680356],"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":[0.000006531729,0.00018421642,0.96065354,0.000015794218,0.00001860509,1.8938157e-7,0.0003685485,0.0000036227905,0.0008173488,0.012480601,0.008559449,0.016891567],"study_design_scores_gemma":[0.00022248218,0.000035146386,0.93313617,0.00000283408,0.00000947337,0.0000054177667,0.00014386202,0.000040402676,0.00020944756,0.006266668,0.059811883,0.00011624137],"about_ca_topic_score_codex":0.0037673668,"about_ca_topic_score_gemma":0.0012057297,"teacher_disagreement_score":0.15003094,"about_ca_system_score_codex":0.00029269207,"about_ca_system_score_gemma":0.00024644958,"threshold_uncertainty_score":0.8771378},"labels":[],"label_agreement":null},{"id":"W3121812283","doi":"10.2139/ssrn.2010157","title":"Towards Real Energy Economics: Energy Policy Driven by Life-Cycle Carbon Emission","year":2010,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Queen's University","funders":"","keywords":"Energy (signal processing); Economics; Energy policy; Carbon fibers; Natural resource economics; Environmental science; Environmental economics; Renewable energy; Engineering; Computer science; Physics","score_opus":0.0021978364597541556,"score_gpt":0.20604368111504084,"score_spread":0.20384584465528668,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121812283","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9680896,0.00010856391,0.00021555381,0.0013629786,0.00014196006,0.00004617483,0.0000040976174,0.000030008661,0.030001095],"genre_scores_gemma":[0.9907675,0.0039489386,0.000044195465,0.0002748543,0.0003814627,0.0000062966233,0.000009357096,0.00003692803,0.004530492],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9968496,0.0000908591,0.00032955644,0.0003497388,0.00024250135,0.0021377418],"domain_scores_gemma":[0.99898756,0.000018949024,0.00016589896,0.00033406864,0.000005998353,0.00048754248],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006165946,0.00025102112,0.00021918523,0.000061172184,0.0002627273,0.00005925391,0.00046558445,0.0001888376,0.0005246414],"category_scores_gemma":[0.00006333912,0.00022540505,0.00013898118,0.00013279582,0.00022282751,0.00030651572,0.0002157731,0.0011305343,0.0000122324045],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003275529,0.000996274,0.4285412,0.000007973501,0.000238618,0.000012702418,0.0007957445,0.0011265795,0.14823939,0.056405406,0.0019465014,0.36136204],"study_design_scores_gemma":[0.0034306175,0.0016899296,0.06901648,0.000012747056,0.00010527387,0.00078846025,0.0031707538,0.014984694,0.023635376,0.7758441,0.10524444,0.0020771269],"about_ca_topic_score_codex":0.021972831,"about_ca_topic_score_gemma":0.011190713,"teacher_disagreement_score":0.7194387,"about_ca_system_score_codex":0.0032459558,"about_ca_system_score_gemma":0.00072267064,"threshold_uncertainty_score":0.9845399},"labels":[],"label_agreement":null},{"id":"W3122054615","doi":"","title":"Low-Carbon Development and Carbon Reduction in China","year":2015,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of the Fraser Valley","funders":"","keywords":"Natural resource economics; China; Carbon dioxide; Emission intensity; Index (typography); Low-carbon economy; Greenhouse gas; Sustainability; Carbon fibers; Government (linguistics); Sustainable development; Climate change; Economics; Geography; Political science; Engineering; Ecology","score_opus":0.0054754343757423985,"score_gpt":0.21203415247246965,"score_spread":0.20655871809672724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122054615","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99320847,0.0002804583,0.000026348378,0.0002536624,0.00007258788,0.00011254944,6.20171e-8,0.000010343301,0.006035521],"genre_scores_gemma":[0.9988574,0.0001938696,0.00009128797,0.00001172294,0.000040796393,0.00000423158,7.4472064e-7,0.000010651922,0.0007893279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981037,0.000074868294,0.00020634441,0.00019171165,0.00026645436,0.0011569267],"domain_scores_gemma":[0.9996745,0.0000039310125,0.00006209278,0.00010072861,0.0000027432159,0.00015599534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015606002,0.00012348748,0.00011282888,0.000045803947,0.000063962,0.000020621812,0.000103566046,0.000057470756,0.00001844436],"category_scores_gemma":[0.00003248303,0.000109814675,0.000018924136,0.00013263141,0.00009749236,0.00016789885,0.000087390305,0.0007419117,0.0000072200146],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017522929,0.00037493327,0.89513326,0.000008390035,0.00002943829,0.000015208463,0.006706677,0.00092170096,0.0036104857,0.0005837585,0.000017040164,0.09242385],"study_design_scores_gemma":[0.0020850643,0.0006022412,0.876551,0.000022583357,0.000017349792,0.00091590965,0.012715473,0.0008158251,0.005209373,0.0997574,0.0007578974,0.0005498925],"about_ca_topic_score_codex":0.00061371736,"about_ca_topic_score_gemma":0.0014662775,"teacher_disagreement_score":0.09917364,"about_ca_system_score_codex":0.0050899102,"about_ca_system_score_gemma":0.00028276662,"threshold_uncertainty_score":0.99872935},"labels":[],"label_agreement":null},{"id":"W3122567227","doi":"10.1007/978-3-030-62666-2_4","title":"Case Study – Methods","year":2021,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in environmental science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Calculator; Ecological footprint; Footprint; Sampling (signal processing); Geography; Environmental resource management; Computer science; Environmental science; Ecology; Sustainability; Archaeology; Telecommunications","score_opus":0.02140330918065819,"score_gpt":0.3050903646594501,"score_spread":0.2836870554787919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122567227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6239306,0.00022648962,0.00006545668,0.00002811685,0.00031548372,0.0011870542,0.000015001094,0.00005127992,0.37418053],"genre_scores_gemma":[0.8253979,0.000099771896,0.005222027,0.00017402523,0.000056745906,0.000049297127,0.0000070699616,0.00009698515,0.16889618],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9943164,0.00015162381,0.00082680513,0.002135317,0.0014958503,0.0010740138],"domain_scores_gemma":[0.9974193,0.000105012,0.00027706826,0.0016547525,0.0000033708561,0.00054048665],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026716813,0.00078385096,0.0006940877,0.00020636439,0.000523912,0.00014465248,0.0010551888,0.00029437421,0.019801637],"category_scores_gemma":[0.000084334584,0.00081493915,0.0002187128,0.00028458075,0.003975391,0.0007163998,0.0036480296,0.0009883232,0.00070933515],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000087268454,0.004930109,0.47391996,0.00008976659,0.00013202775,0.12336759,0.010758824,0.0020246136,0.029179737,0.002683883,0.00028199938,0.35254422],"study_design_scores_gemma":[0.006836735,0.003484817,0.54757345,0.00039965063,0.0007297673,0.030557282,0.03877398,0.0016197425,0.014023046,0.015908247,0.32586306,0.014230203],"about_ca_topic_score_codex":0.0008318616,"about_ca_topic_score_gemma":0.00051121815,"teacher_disagreement_score":0.33831403,"about_ca_system_score_codex":0.0050622304,"about_ca_system_score_gemma":0.00007503144,"threshold_uncertainty_score":0.9994301},"labels":[],"label_agreement":null},{"id":"W3122656956","doi":"","title":"Decomposing Multifactor Productivity Growth in Canada by Industry and Province, 1997-2014","year":2016,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Multifactor productivity; Decomposition; Economics; Petroleum industry; Commodity; Agricultural economics; Oil price; Manufacturing sector; Environmental science; Total factor productivity; Monetary economics; Macroeconomics; Chemistry; Environmental engineering; Market economy","score_opus":0.010482105874473043,"score_gpt":0.2576762799684813,"score_spread":0.24719417409400826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122656956","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9882844,0.000045124805,7.7836427e-7,0.0006100042,0.00011316963,0.0009897354,0.00014086285,0.000010032117,0.009805876],"genre_scores_gemma":[0.998204,0.0005468852,0.000110295616,0.000044834273,0.000040754876,0.00009326594,0.000022015465,0.000036800728,0.0009011386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99674886,0.0003582777,0.0004603983,0.0011705186,0.00033155942,0.00093037693],"domain_scores_gemma":[0.9986179,0.00026874882,0.00013633496,0.0006453535,0.0000072494668,0.00032445026],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013284694,0.0003277727,0.0004208371,0.000101568316,0.00012254894,0.00007011094,0.00048590588,0.00042194585,0.00025697082],"category_scores_gemma":[0.0003349644,0.00030774623,0.000042862026,0.000071618866,0.0006710904,0.00026767555,0.0021789644,0.002074964,0.0000058438923],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045349683,0.00012128066,0.9365415,0.000078366254,0.000009046876,0.000022736052,0.00010797416,0.00039427564,0.00071847317,0.0000026385912,0.00028672983,0.061671656],"study_design_scores_gemma":[0.00062105834,0.000054455188,0.9868825,0.00010823714,0.0000034503987,0.000006809009,0.0005321833,0.0011580648,0.0028673948,0.0008860491,0.0062364405,0.0006433496],"about_ca_topic_score_codex":0.5178608,"about_ca_topic_score_gemma":0.7453584,"teacher_disagreement_score":0.22749761,"about_ca_system_score_codex":0.014085425,"about_ca_system_score_gemma":0.0009244156,"threshold_uncertainty_score":0.9999375},"labels":[],"label_agreement":null},{"id":"W3122685589","doi":"","title":"Economic Evaluation of Climate Change Impacts on Ground Transportation in Atlantic Canada: General Equilibrium Framework","year":2014,"lang":"en","type":"article","venue":"EcoMod2014","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Greenhouse gas; Economic impact analysis; Environmental science; Climate change scenario; Natural resource economics; Computable general equilibrium; Global warming; Effects of global warming; Economic cost; Climate model; Ecological forecasting; Environmental resource management; Economics; Engineering; Ecology; Civil engineering","score_opus":0.01613678968076706,"score_gpt":0.25934234467137174,"score_spread":0.24320555499060467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3122685589","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969693,0.000010206121,0.000020238282,0.0002220635,0.00015279686,0.00034994364,0.000015828744,0.000007616894,0.002252035],"genre_scores_gemma":[0.9995508,0.000015974267,0.00009047083,0.00019247281,0.00006060075,0.00002634862,0.00004047516,0.000012746794,0.0000100717625],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870354,0.00014775491,0.00027401882,0.00024002594,0.00032103277,0.00031362157],"domain_scores_gemma":[0.9994774,0.00006215589,0.00011044305,0.00025389323,0.0000033065635,0.0000928088],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000865555,0.00013155799,0.0001780044,0.00003097301,0.000032315493,0.0000097427555,0.000121092104,0.00007072318,0.0011851199],"category_scores_gemma":[0.000040863128,0.00012875495,0.000039613216,0.00006103109,0.000061948,0.00023355147,0.000022000018,0.00010242162,0.000057217992],"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":[0.000040034465,0.00007684282,0.972824,0.00002329992,0.000003845606,0.0000011694956,0.00048679777,0.019684765,0.0003358818,0.00040550428,0.00009732648,0.0060205543],"study_design_scores_gemma":[0.00035973912,0.00009383904,0.97271913,0.000018298007,0.000014250403,4.5020548e-7,0.000046148438,0.024082372,0.00038172578,0.002013712,0.00013884382,0.00013149479],"about_ca_topic_score_codex":0.3456028,"about_ca_topic_score_gemma":0.60997945,"teacher_disagreement_score":0.2643766,"about_ca_system_score_codex":0.0014295062,"about_ca_system_score_gemma":0.00003322859,"threshold_uncertainty_score":0.9997279},"labels":[],"label_agreement":null},{"id":"W3123979214","doi":"","title":"Towards real energy economics: Energy policy driven by life-cycle carbon emission","year":2010,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":"Queen's University","funders":"","keywords":"Greenhouse gas; Environmental economics; Climate change; Fossil fuel; Climate change mitigation; Natural resource economics; Software deployment; Carbon fibers; Electricity; Life-cycle assessment; Global warming; Environmental science; Low-carbon economy; Economics; Waste management; Engineering; Computer science; Production (economics)","score_opus":0.010159983194990051,"score_gpt":0.27819883346914404,"score_spread":0.268038850274154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3123979214","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7536305,0.000038751034,0.0000020663813,0.00066325767,0.00020841544,0.00026474593,0.00007744288,0.000040476847,0.24507435],"genre_scores_gemma":[0.9748103,0.017493362,0.00019536138,0.00024120604,0.00036498054,0.00019716851,0.00017091758,0.00011539492,0.0064113266],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954006,0.00038995256,0.0008389107,0.00158207,0.00035295176,0.001435504],"domain_scores_gemma":[0.99685025,0.00017211687,0.00027644364,0.0017208237,0.000014185369,0.0009661858],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011209198,0.0005838067,0.0007160021,0.0002876791,0.00023769542,0.00016745592,0.0013653337,0.0011281027,0.0008822476],"category_scores_gemma":[0.00033470883,0.00063467067,0.00026719828,0.00014287022,0.0011149541,0.0002122517,0.0044183373,0.0017630861,0.000010876515],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035239253,0.0010796579,0.2113338,0.00011334121,0.00014135364,0.0000464255,0.001103077,0.034869034,0.0068940525,0.00059573766,0.00079069415,0.74268043],"study_design_scores_gemma":[0.0038407976,0.00089240505,0.15223159,0.00020182655,0.00006020664,0.000038575403,0.0029496688,0.3428041,0.016743833,0.05255378,0.42229337,0.0053898604],"about_ca_topic_score_codex":0.04636685,"about_ca_topic_score_gemma":0.00642797,"teacher_disagreement_score":0.73729056,"about_ca_system_score_codex":0.0067667337,"about_ca_system_score_gemma":0.00060719816,"threshold_uncertainty_score":0.9996105},"labels":[],"label_agreement":null},{"id":"W3124017184","doi":"10.1088/1748-9326/abe008","title":"Deep decarbonization pathways in the building sector: China’s NDC and the Paris agreement","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"Environmental Restoration and Conservation Agency","keywords":"Per capita; China; Mainland China; Unit (ring theory); Constraint (computer-aided design); Natural resource economics; Consumption (sociology); Environmental science; Agricultural economics; Environmental economics; Business; Economics; Geography; Engineering; Population","score_opus":0.017434881913323295,"score_gpt":0.26945991690988425,"score_spread":0.2520250349965609,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124017184","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98715293,0.00057655515,0.00035909147,0.009188636,0.000039265684,0.00067101046,0.000004049519,0.000008534342,0.0019999153],"genre_scores_gemma":[0.9971346,0.00048876985,0.00025719163,0.001798565,0.00004301095,0.00010834058,0.000017382989,0.0000187461,0.00013336507],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9958354,0.0014065796,0.00028232503,0.00051939295,0.0012615824,0.000694721],"domain_scores_gemma":[0.9988643,0.00037094785,0.000049506634,0.00059130555,0.0000013108141,0.00012263906],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0029353227,0.00019949801,0.0001682056,0.000044345867,0.00055794686,0.00014356685,0.00043244907,0.00006381227,0.0019399357],"category_scores_gemma":[0.00015107443,0.0001274269,0.00007656755,0.00033446777,0.0017372033,0.00027385144,0.00084201887,0.00061066146,0.00010668212],"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":[0.00015690784,0.0006064489,0.8677051,0.000023549455,0.000034540368,0.00029809517,0.015957432,0.0037812134,0.093671694,0.0004898622,0.0014885623,0.015786596],"study_design_scores_gemma":[0.0010222128,0.000056644552,0.98285496,0.000008858709,0.000010890848,0.000032989312,0.0049746493,0.0025217165,0.0041244375,0.001478812,0.002711797,0.000202043],"about_ca_topic_score_codex":0.0005891439,"about_ca_topic_score_gemma":0.00018806769,"teacher_disagreement_score":0.115149856,"about_ca_system_score_codex":0.0009962807,"about_ca_system_score_gemma":0.000009678738,"threshold_uncertainty_score":0.9989724},"labels":[],"label_agreement":null},{"id":"W3124206694","doi":"","title":"ISO 14001 Certification and Environmental Performance in Quebec's Pulp and Paper Industry","year":2005,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":"Université Laval","funders":"","keywords":"Certification; Norm (philosophy); Environmental science; Business; Environmental protection; Pulp and paper industry; Agricultural economics; Environmental economics; Engineering; Operations management; Natural resource economics; Economics; Political science; Management","score_opus":0.018271478148767322,"score_gpt":0.273565368263871,"score_spread":0.25529389011510367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124206694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98440266,0.0001455569,2.3415865e-7,0.00056991883,0.000042846757,0.0007138812,0.00002337918,0.000012000455,0.014089555],"genre_scores_gemma":[0.98550993,0.0096877515,0.00013176558,0.000115559604,0.00005090288,0.0001412512,0.000046966277,0.0000359847,0.0042799055],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727356,0.00021140669,0.0005197706,0.0010039873,0.00026611757,0.0007251406],"domain_scores_gemma":[0.99883753,0.0001156183,0.000110858884,0.00067293807,0.0000019945448,0.0002610882],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011987868,0.0003219295,0.00034121395,0.0001602649,0.0001492034,0.000116861374,0.00033827036,0.0007117907,0.0009486573],"category_scores_gemma":[0.00007357301,0.0003497664,0.000045865654,0.0000734572,0.0011590676,0.0005207405,0.0018374559,0.00214675,0.000022205928],"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":[0.000045351317,0.00016468798,0.7014788,0.000045131732,0.0000064689366,0.0000067099872,0.00080457603,0.003559989,0.00060258765,0.000003645712,0.000009993541,0.2932721],"study_design_scores_gemma":[0.0004029877,0.000053278764,0.9810401,0.000042900087,0.0000039392735,0.000008160034,0.0018612456,0.0067255083,0.00021619679,0.00016409931,0.009121205,0.00036038103],"about_ca_topic_score_codex":0.0031364334,"about_ca_topic_score_gemma":0.0077466345,"teacher_disagreement_score":0.2929117,"about_ca_system_score_codex":0.0037359293,"about_ca_system_score_gemma":0.0000633386,"threshold_uncertainty_score":0.9999646},"labels":[],"label_agreement":null},{"id":"W3124400847","doi":"","title":"Investment in Pollution Abatement and Productivity Change in Canadian Regional Pulp and Paper Industries","year":2002,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Pollution; Pollutant; Natural resource economics; Environmental science; Estimation; Investment (military); Business; Environmental engineering; Economics; Economic growth; Ecology","score_opus":0.04962703359118972,"score_gpt":0.2941701294071372,"score_spread":0.2445430958159475,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124400847","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9870304,0.00025637168,1.6986741e-8,0.0032859934,0.00004488171,0.0013718685,0.000035572702,0.0000052312303,0.007969678],"genre_scores_gemma":[0.99398786,0.004782084,0.000039457518,0.0003142712,0.000038261132,0.00035642827,0.000019408977,0.000018995313,0.00044322436],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973763,0.00028880872,0.00036956163,0.0008766421,0.00022278678,0.00086588325],"domain_scores_gemma":[0.9990556,0.000049105147,0.00006878723,0.00043305178,0.0000043595373,0.00038909327],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001794686,0.00024900847,0.00030051146,0.00034473895,0.00010456121,0.000067310466,0.00019310362,0.000338371,0.00028219298],"category_scores_gemma":[0.00016487135,0.0002718543,0.0000249536,0.00016074194,0.0008339554,0.00035264736,0.0009265557,0.001092448,0.0000038280627],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022964246,0.00014799346,0.9187818,0.000056296103,0.000007033593,0.000023477985,0.0023023172,0.0008002062,0.000038213933,0.00006338802,0.00002540317,0.0777309],"study_design_scores_gemma":[0.00034251696,0.0000835911,0.98468524,0.000057866895,0.0000015107764,0.0000047358403,0.0008945923,0.0009360009,0.000028611525,0.0012662506,0.011441541,0.00025751212],"about_ca_topic_score_codex":0.28572083,"about_ca_topic_score_gemma":0.7411012,"teacher_disagreement_score":0.45538035,"about_ca_system_score_codex":0.0081492,"about_ca_system_score_gemma":0.00015889404,"threshold_uncertainty_score":0.99997336},"labels":[],"label_agreement":null},{"id":"W3124558110","doi":"","title":"What drives changes in carbon emissions? An index decomposition approach for 40 countries","year":2014,"lang":"en","type":"preprint","venue":"MADOC (University of Mannheim)","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":"Divisia index; Index (typography); Decomposition; Final demand; Natural resource economics; Greenhouse gas; Carbon fibers; Production (economics); Economics; Environmental science; Economy; Energy intensity; Energy consumption; Engineering; Macroeconomics","score_opus":0.013022049939833743,"score_gpt":0.23927212637566989,"score_spread":0.22625007643583614,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124558110","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373406,0.00008580403,0.003071761,0.0006394938,0.00012082859,0.00085542817,0.000027583843,0.000034890203,0.0014301445],"genre_scores_gemma":[0.9958969,0.00027553624,0.0027845788,0.000069901376,0.000028097698,0.0000055834907,0.00018552714,0.000017263144,0.0007366345],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99849457,0.00014959533,0.0001440364,0.00059032714,0.0002944293,0.0003270617],"domain_scores_gemma":[0.999088,0.000043281143,0.0001992302,0.00050374743,0.000011868477,0.00015387451],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043803017,0.00025295434,0.00038346235,0.00011754815,0.000142883,0.000050929455,0.00052717177,0.00033322166,0.0003006557],"category_scores_gemma":[0.000011135867,0.00030243667,0.0001104507,0.00008443292,0.0004926883,0.00044598558,0.0009835042,0.00027937858,0.0000044901312],"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":[0.0021552895,0.0023671237,0.84714806,0.0023463133,0.00015773138,0.000045898385,0.035877354,0.08060078,0.003017123,0.00017019967,0.0013755593,0.024738584],"study_design_scores_gemma":[0.0015684863,0.00046362515,0.8503475,0.00023932348,0.00013260596,0.000004591731,0.031613506,0.10451154,0.0008123579,0.0043793665,0.004937041,0.0009900294],"about_ca_topic_score_codex":0.0020707657,"about_ca_topic_score_gemma":0.0015165331,"teacher_disagreement_score":0.023910752,"about_ca_system_score_codex":0.00058231887,"about_ca_system_score_gemma":0.000020215897,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W3124692793","doi":"10.15173/esr.v11i2.443","title":"Changement de l'efficacité énergétique pour fins de chauffage dans Ie secteur résidentiel au Québec, 1989 - 1998","year":2003,"lang":"fr","type":"article","venue":"Energy Studies Review","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; Ministry of Natural Resources and Wildlife","funders":"","keywords":"Political science; Humanities; Physics; Philosophy","score_opus":0.02232837441570821,"score_gpt":0.2828809604892421,"score_spread":0.2605525860735339,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124692793","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.11643611,0.849714,0.0020094416,0.009925862,0.00069776195,0.0008246262,0.000048895305,0.00007571806,0.020267598],"genre_scores_gemma":[0.22289734,0.7121238,0.00096631283,0.007064897,0.00023266624,0.00036425533,0.000013130043,0.0000742177,0.056263383],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952399,0.0011644053,0.0007595427,0.0008114715,0.00050028274,0.0015243582],"domain_scores_gemma":[0.99822754,0.00019838316,0.00028742966,0.0007790582,0.000017209628,0.00049036025],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015513179,0.0006841657,0.0009388214,0.000045330245,0.00062925095,0.000037131995,0.00046489201,0.00018104342,0.0031002015],"category_scores_gemma":[0.0006603646,0.000634225,0.00044512041,0.00045676096,0.0008587887,0.00028635675,0.00054135855,0.00034281184,0.0005577748],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005768238,0.005181107,0.371743,0.018526433,0.0023439068,0.0012967385,0.028502164,0.004127224,0.0044673574,0.010572846,0.23171046,0.3214711],"study_design_scores_gemma":[0.00044734843,0.00020258046,0.044738006,0.0014136309,0.0004412219,0.00009839659,0.0027904634,0.00012223212,0.002400905,0.0008940061,0.94567966,0.0007715286],"about_ca_topic_score_codex":0.05242675,"about_ca_topic_score_gemma":0.11486206,"teacher_disagreement_score":0.71396923,"about_ca_system_score_codex":0.009107029,"about_ca_system_score_gemma":0.0003253164,"threshold_uncertainty_score":0.9996109},"labels":[],"label_agreement":null},{"id":"W3124724833","doi":"","title":"Promoting Pollution Prevention in Small Businesses: Costs and Benefits of the “Enviroclub” Initiative","year":2011,"lang":"en","type":"preprint","venue":"Project Muse (Johns Hopkins University)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"HEC Montréal","funders":"","keywords":"Profitability index; Business; Government (linguistics); Value (mathematics); Environmental economics; Political science; Environmental planning; Welfare economics; Geography; Economics; Finance","score_opus":0.02874954361214366,"score_gpt":0.2217431641506956,"score_spread":0.19299362053855193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124724833","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93646836,0.00000502233,0.00007399322,0.0000832799,0.000075404205,0.0014578069,0.000036981215,0.000025291629,0.061773866],"genre_scores_gemma":[0.9890721,0.010519843,0.00029856546,0.00003100246,0.000013018478,0.0000068613876,0.00001587604,0.000019457524,0.000023263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99832374,0.00032711393,0.00026845388,0.0005690794,0.00019876445,0.00031287395],"domain_scores_gemma":[0.99905014,0.000033755077,0.00038183443,0.00045683136,0.000016395019,0.00006104066],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003157339,0.0002966915,0.00030142136,0.0012488831,0.00013002269,0.000020507763,0.0004596589,0.0002684326,0.00006657711],"category_scores_gemma":[0.00010066794,0.00026853455,0.00011743972,0.0021720633,0.00042064418,0.0003588035,0.0025908707,0.000456209,0.0000042111956],"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":[0.00050740107,0.0025801777,0.7833607,0.0011171794,0.0001547439,0.000059487884,0.08620351,0.0027193695,0.00023704412,0.0006360416,0.000020192363,0.12240415],"study_design_scores_gemma":[0.001340543,0.0002211997,0.97531396,0.0006995405,0.0001835236,0.0000093775125,0.0024886616,0.00043353092,0.0035333354,0.00014444183,0.014960751,0.0006711425],"about_ca_topic_score_codex":0.06715529,"about_ca_topic_score_gemma":0.04015381,"teacher_disagreement_score":0.19195326,"about_ca_system_score_codex":0.001310381,"about_ca_system_score_gemma":0.00012663922,"threshold_uncertainty_score":0.9999767},"labels":[],"label_agreement":null},{"id":"W3124860768","doi":"","title":"Évolution de la consommation d'énergie du secteur commercial québécois de 1990 à 1998","year":2003,"lang":"fr","type":"article","venue":"Cahiers de recherche","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Political science; Physics; Humanities; Art","score_opus":0.04200675000284654,"score_gpt":0.30763902207841604,"score_spread":0.2656322720755695,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3124860768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9245566,0.0013647533,0.015423547,0.0012543235,0.000291128,0.0003542499,0.0000236363,0.00006252582,0.05666925],"genre_scores_gemma":[0.97559893,0.0023105033,0.014179133,0.0014540209,0.0001681521,0.000040428906,0.000019189603,0.00004863978,0.006180999],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98930925,0.008710531,0.00033438226,0.00039684857,0.00026253102,0.0009864696],"domain_scores_gemma":[0.9972018,0.0017416367,0.00012959477,0.00039461695,0.000009162228,0.0005231959],"candidate_categories":["metaepi_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.008826603,0.00032237326,0.00026355265,0.00005227372,0.0003751601,0.00009017684,0.00028122144,0.0016748814,0.0012508727],"category_scores_gemma":[0.004343074,0.0003694991,0.00018687296,0.00039434008,0.0028252676,0.00039255936,0.00006184141,0.0018613713,0.0003707115],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002005452,0.0017149335,0.6656602,0.00036364488,0.00014012297,0.00020196421,0.054081514,0.0065180864,0.047604423,0.023915939,0.011091226,0.18850738],"study_design_scores_gemma":[0.0016885725,0.000296571,0.55695945,0.00008871607,0.0002543181,0.00056426856,0.009624562,0.005111658,0.030265756,0.059291285,0.33481023,0.0010446003],"about_ca_topic_score_codex":0.016538726,"about_ca_topic_score_gemma":0.0020295351,"teacher_disagreement_score":0.323719,"about_ca_system_score_codex":0.029266512,"about_ca_system_score_gemma":0.00057564984,"threshold_uncertainty_score":0.9998885},"labels":[],"label_agreement":null},{"id":"W3125643024","doi":"","title":"Greenhouse Gas Emissions in the Canadian Economy, 1981-2000","year":2003,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":"Greenhouse gas; Environmental science; Natural resource economics; Economics; Economy; Geology","score_opus":0.022270742710819448,"score_gpt":0.28907439176944555,"score_spread":0.2668036490586261,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3125643024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.61216617,0.000033707296,1.4939816e-7,0.0015252588,0.000072568386,0.0008699779,0.00002835558,0.000008743069,0.3852951],"genre_scores_gemma":[0.9934806,0.0011693826,0.00013964914,0.0006148113,0.000046234174,0.0002606882,0.00003642323,0.000047587928,0.0042045987],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99614185,0.0006880999,0.0005741342,0.000949214,0.00027119622,0.0013754936],"domain_scores_gemma":[0.99758947,0.00024003841,0.000097900505,0.0015121299,0.0000062591744,0.0005542028],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0033125768,0.00035109447,0.00038092275,0.0002762433,0.00039654158,0.00021010451,0.0013157165,0.00049515255,0.0021459204],"category_scores_gemma":[0.00030229002,0.00031299426,0.00015548577,0.0002044818,0.00077269966,0.00017849525,0.0009352225,0.0023774474,0.00013394865],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055119777,0.000698039,0.8410507,0.00009436758,0.000036806567,0.0003360732,0.0060169967,0.03854434,0.00003132856,0.00029376676,0.0018053198,0.111037135],"study_design_scores_gemma":[0.0009710623,0.00018741195,0.54094464,0.00009595299,0.0000129712835,0.00004849694,0.006805669,0.004298955,0.00005939384,0.024751393,0.42052105,0.0013030143],"about_ca_topic_score_codex":0.16655965,"about_ca_topic_score_gemma":0.70427865,"teacher_disagreement_score":0.53771895,"about_ca_system_score_codex":0.013562393,"about_ca_system_score_gemma":0.00102542,"threshold_uncertainty_score":0.9999322},"labels":[],"label_agreement":null},{"id":"W3126200182","doi":"10.1016/j.jclepro.2021.126323","title":"Carbon capturing for emissions reduction at building level: A market assessment from a building management perspective","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":42,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Unit (ring theory); Environmental economics; Climate change mitigation; Climate change; Business; Environmental resource management; Engineering; Environmental science; Economics","score_opus":0.017903955654338718,"score_gpt":0.29601772067137444,"score_spread":0.2781137650170357,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3126200182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9915116,0.00011692174,0.0023641551,0.0021153127,0.0007717694,0.0003117189,0.0000045986353,0.000014317908,0.0027895996],"genre_scores_gemma":[0.96227974,0.000067901274,0.033700228,0.000024295525,0.00049809256,0.00001126482,0.000002653386,0.000021829595,0.0033939723],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983661,0.0001249546,0.00039876357,0.00039440842,0.00045871898,0.0002570336],"domain_scores_gemma":[0.99920636,0.000030921783,0.00032484945,0.00025232637,0.000056486104,0.00012905087],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007514924,0.00015722805,0.00020969239,0.000065728505,0.00024228517,0.00004119575,0.00011687428,0.000060646023,0.00045475346],"category_scores_gemma":[0.00014884183,0.00014438223,0.00015515363,0.00015400595,0.000082273524,0.00039788455,0.0001952491,0.00022239947,0.0000012361145],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00075239723,0.00089442235,0.048852988,0.00010898381,0.00038388305,0.00012647854,0.0046682996,0.036037493,0.8731317,0.00019776593,0.0069741937,0.027871385],"study_design_scores_gemma":[0.0020363717,0.00036070833,0.5832692,0.00025802408,0.0005673982,0.00090512546,0.04491017,0.0018536262,0.32799685,0.017181952,0.019943813,0.0007167596],"about_ca_topic_score_codex":0.00014374804,"about_ca_topic_score_gemma":0.00001974046,"teacher_disagreement_score":0.54513484,"about_ca_system_score_codex":0.0038436989,"about_ca_system_score_gemma":0.000026466874,"threshold_uncertainty_score":0.9999804},"labels":[],"label_agreement":null},{"id":"W3127757286","doi":"10.3390/environments8020010","title":"Status of Life Cycle Assessment (LCA) in Africa","year":2021,"lang":"en","type":"article","venue":"Environments","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":50,"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":"Wageningen University and Research; Universidade de Santiago de Compostela; Université de La Réunion; Università degli Studi di Udine; Universitat Politècnica de Catalunya; Centre de Coopération Internationale en Recherche Agronomique pour le Développement; Institut National de la Recherche Agronomique; Universiteit Stellenbosch; KU Leuven; University of South Florida; Curtin University of Technology; University of Mauritius; Danmarks Tekniske Universitet; Trent University; Umeå Universitet; Nottingham Trent University; University of Exeter; Edinburgh Napier University; Egypt-Japan University of Science and Technology","keywords":"Life-cycle assessment; Scopus; Agriculture; Impact assessment; Geography; Developing country; Economic growth; Business; Political science; Economics; Production (economics)","score_opus":0.011646847813400156,"score_gpt":0.2589900340655291,"score_spread":0.24734318625212895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3127757286","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.951058,0.00014266885,0.0001972688,0.00010200549,0.000054956403,0.00018023397,0.000014031281,0.00000894161,0.04824193],"genre_scores_gemma":[0.99566865,0.0001804815,0.0019067137,0.00012457608,0.000009098973,0.000021215752,0.00001633192,0.000018455736,0.0020544643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99790436,0.00015117189,0.00037902917,0.00040717272,0.0005226043,0.0006356423],"domain_scores_gemma":[0.99908334,0.00004381345,0.00009881339,0.00048233144,9.580212e-7,0.00029075192],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024052557,0.00017499644,0.00024788495,0.000028919518,0.000054238248,0.000011436921,0.00016885734,0.00007954165,0.010125954],"category_scores_gemma":[0.0000803483,0.00018081951,0.00007882532,0.00020834686,0.00026537344,0.00023470391,0.00045621747,0.0001756588,0.0002605568],"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":[0.000015253501,0.0008873258,0.9717298,0.000010398976,0.000012627352,0.000034139925,0.000553651,0.006727921,0.015602584,0.000038644244,0.00020110994,0.004186533],"study_design_scores_gemma":[0.00067323854,0.000057475358,0.9752596,0.000005587986,0.000008366213,0.0000012735086,0.00068078504,0.0005359659,0.0026758385,0.0006160587,0.019306751,0.00017902753],"about_ca_topic_score_codex":0.00023027648,"about_ca_topic_score_gemma":0.00006036102,"teacher_disagreement_score":0.046187464,"about_ca_system_score_codex":0.0009327184,"about_ca_system_score_gemma":0.00003389337,"threshold_uncertainty_score":0.9907789},"labels":[],"label_agreement":null},{"id":"W3131528871","doi":"","title":"Comparative life cycle assessment (LCA) of artificial vs natural Christmas tree","year":2009,"lang":"en","type":"article","venue":"OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)","topic":"Environmental Impact and Sustainability","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":"Life-cycle assessment; Tree (set theory); Natural resource; Climate change; Reuse; Environmental science; Environmental impact assessment; Environmental resource management; Engineering; Mathematics; Ecology; Production (economics); Waste management","score_opus":0.010553253461984768,"score_gpt":0.25669811554978894,"score_spread":0.24614486208780417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3131528871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94325274,0.000044916505,0.0009813585,0.00022261527,0.00010602956,0.00023838591,0.000050964594,0.000026684684,0.055076305],"genre_scores_gemma":[0.99682015,0.000012253171,0.0025973944,0.000110102,0.000008728061,0.000009369355,0.0003320759,0.0000032988137,0.00010663761],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99797237,0.00004563211,0.00079087826,0.00023003654,0.0006970729,0.00026399735],"domain_scores_gemma":[0.99893093,0.00007738351,0.00043817685,0.00033373584,0.000049437673,0.00017030537],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004917048,0.0001853749,0.0003868649,0.000104039216,0.0001702209,0.000044161217,0.00026613154,0.00008797433,0.00030922942],"category_scores_gemma":[0.000072695046,0.00015895916,0.00011467557,0.00039950944,0.0012098072,0.00097121845,0.00017904163,0.00011682371,0.000013129027],"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":[0.005426708,0.020429619,0.18018764,0.0008185541,0.00053352927,0.000018062821,0.00096590456,0.044976782,0.29468277,0.27107078,0.043395508,0.13749415],"study_design_scores_gemma":[0.00047369002,0.0006382791,0.97489107,0.000022981696,0.000039415096,0.0000041652606,0.00007278458,0.0006843469,0.01770643,0.0011702769,0.0040717176,0.00022486235],"about_ca_topic_score_codex":0.000056014338,"about_ca_topic_score_gemma":0.000043122258,"teacher_disagreement_score":0.7947034,"about_ca_system_score_codex":0.00012874525,"about_ca_system_score_gemma":0.00005138543,"threshold_uncertainty_score":0.6482166},"labels":[],"label_agreement":null},{"id":"W3134822949","doi":"","title":"A Canadian perspective on measurement, estimation and mitigation of life cycle GHG emissions of natural gas","year":2018,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Perspective (graphical); Natural gas; Estimation; Life-cycle assessment; Natural resource economics; Environmental resource management; Economics; Engineering; Computer science; Waste management; Production (economics); Ecology","score_opus":0.010485856717979384,"score_gpt":0.24465814991999038,"score_spread":0.234172293202011,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3134822949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9692587,0.000028673405,0.000003863955,0.0003907454,0.000037252623,0.0001593353,0.0000053018634,0.000009284114,0.030106828],"genre_scores_gemma":[0.9992193,0.0000032375215,0.00063844025,0.00008132451,0.000016225613,0.0000025716079,0.000002767571,0.0000069749585,0.000029188246],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99904466,0.000042981355,0.00021570096,0.0001868466,0.00031491418,0.0001948841],"domain_scores_gemma":[0.9994118,0.000048338097,0.00014557708,0.00014114384,0.000036325953,0.00021678196],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044008705,0.000095983916,0.00011021393,0.00004071838,0.00012877188,0.000010221296,0.000077201395,0.00005197351,0.000024756553],"category_scores_gemma":[0.0012132647,0.000088941546,0.000025623985,0.00009830355,0.00026524527,0.00014542081,0.00003335176,0.00009234327,0.000015727754],"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":[0.000121833385,0.00032997841,0.89679354,0.000073502204,0.000046798603,0.000003976927,0.011086777,0.012812956,0.068359874,0.0001774701,0.00081620505,0.009377091],"study_design_scores_gemma":[0.00021330638,0.00014936738,0.978025,0.00007347308,0.0000135286,0.0000014095748,0.001960381,0.003106053,0.015026718,0.0012911943,0.00003221838,0.00010733323],"about_ca_topic_score_codex":0.39627427,"about_ca_topic_score_gemma":0.22732732,"teacher_disagreement_score":0.16894697,"about_ca_system_score_codex":0.00069355854,"about_ca_system_score_gemma":0.000057945632,"threshold_uncertainty_score":0.78677195},"labels":[],"label_agreement":null},{"id":"W3136110618","doi":"10.1093/jof/107.5.267","title":"More Energy from Wood: What Are the Prospects?","year":2009,"lang":"en","type":"article","venue":"Journal of Forestry","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"U.S. Forest Service; New Mexico State University","keywords":"Agroforestry; Environmental science; Forestry; Geography","score_opus":0.005324969718533123,"score_gpt":0.221914820767324,"score_spread":0.21658985104879086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3136110618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99329364,0.000554263,0.00006157052,0.005030557,0.00012302744,0.000047428646,0.0000016878477,0.0000053234494,0.0008824886],"genre_scores_gemma":[0.9978863,0.0001662689,0.00026541846,0.0012937795,0.00015658332,7.183491e-7,8.40837e-7,0.0000056863323,0.00022437682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999032,0.000034989567,0.00024281112,0.00010482187,0.00038749864,0.0001978588],"domain_scores_gemma":[0.99926966,0.000032895758,0.0002493269,0.00031614862,0.0000058560445,0.00012612522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016424785,0.00010837912,0.00014248621,0.00001338362,0.00009872442,0.00008993815,0.00044957735,0.00006039782,0.00069201656],"category_scores_gemma":[0.000057742058,0.0000633157,0.000120512275,0.00008781758,0.00017659047,0.00079046667,0.00009117937,0.00021631789,0.000017774122],"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":[0.000189368,0.0005955766,0.91505766,0.000004507949,0.000047225665,0.00034147673,0.002214469,0.0026727272,0.004450203,0.00018069861,0.013831743,0.06041434],"study_design_scores_gemma":[0.0002487859,0.00017218122,0.9695838,0.000025498879,0.000018092973,0.00005266411,0.004644235,0.00006816038,0.0022392056,0.019720737,0.0031350104,0.00009161418],"about_ca_topic_score_codex":0.00007941231,"about_ca_topic_score_gemma":0.000016935874,"teacher_disagreement_score":0.060322724,"about_ca_system_score_codex":0.00023409622,"about_ca_system_score_gemma":0.000010456079,"threshold_uncertainty_score":0.75770956},"labels":[],"label_agreement":null},{"id":"W3137898253","doi":"10.1007/s42452-021-04411-z","title":"Learning framework for carbon emissions predictions incorporating a RReliefF driven features selection and an iterative neural network architecture improvement","year":2021,"lang":"en","type":"article","venue":"SN Applied Sciences","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"Concordia University","funders":"European Environment Agency; European Commission","keywords":"Benchmarking; Artificial neural network; European union; Computer science; Backpropagation; Architecture; Selection (genetic algorithm); Machine learning; Artificial intelligence; Process (computing); Business","score_opus":0.007726081862187516,"score_gpt":0.2612782971532468,"score_spread":0.25355221529105926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3137898253","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98825544,0.000034050227,0.0077595753,0.00035823698,0.000089917645,0.00048218932,0.000004091733,0.00006122247,0.0029552726],"genre_scores_gemma":[0.9689109,0.0000035758574,0.030551672,0.0001504554,0.00012722572,0.00010320421,0.000012394489,0.000009422546,0.0001311944],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985685,0.00007754614,0.00016666258,0.0005406618,0.0002726423,0.00037403844],"domain_scores_gemma":[0.99947804,0.00013278713,0.00009852638,0.00011616481,0.00000822261,0.00016624894],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00035860366,0.0001609199,0.000137078,0.000024832565,0.0013532834,0.00015575506,0.00012702715,0.000090620255,0.00006342082],"category_scores_gemma":[0.00010257098,0.00013351336,0.000036010362,0.00046247503,0.00042950734,0.00016521422,0.00018673541,0.00034077725,7.3304307e-7],"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":[0.00003487163,0.00013301657,0.14860153,0.00001876714,0.000013678992,0.0000019629385,0.005142057,0.7383195,0.084251694,0.0032603885,0.00005932186,0.0201632],"study_design_scores_gemma":[0.0010602738,0.003672636,0.3306258,0.00009167397,0.00010308202,0.00004392266,0.02653172,0.4021009,0.029299812,0.20420106,0.0009679882,0.0013011465],"about_ca_topic_score_codex":0.00006627536,"about_ca_topic_score_gemma":0.00023613997,"teacher_disagreement_score":0.33621863,"about_ca_system_score_codex":0.00013440906,"about_ca_system_score_gemma":0.00003679758,"threshold_uncertainty_score":0.99994683},"labels":[],"label_agreement":null},{"id":"W3138148122","doi":"10.3389/fenrg.2021.648857","title":"Influencing Factors, Energy Consumption, and Carbon Emission of Central Heating in China: A Supply Chain Perspective","year":2021,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Environmental Impact and Sustainability","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 Calgary","funders":"National Social Science Fund of China; Fundamental Research Funds for the Central Universities; University of International Business and Economics","keywords":"Greenhouse gas; Energy consumption; Coal; Heating degree day; Environmental science; Energy supply; Consumption (sociology); China; Heating system; Natural resource economics; Environmental engineering; Environmental economics; Energy (signal processing); Waste management; Economics; Engineering; Geography; Mechanical engineering","score_opus":0.01293435800880408,"score_gpt":0.281336952053101,"score_spread":0.2684025940442969,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138148122","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99646634,0.0012183717,0.00011240603,0.00012325685,0.00005421968,0.00007475547,0.000003858442,0.0000064826113,0.0019402851],"genre_scores_gemma":[0.9984249,0.00064599136,0.0004414198,0.000014517519,0.000012599036,0.000012966863,0.000008671629,0.000012689101,0.00042626797],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99773425,0.00050254166,0.00026228992,0.0004236754,0.00047661827,0.00060062105],"domain_scores_gemma":[0.99948436,0.000074561845,0.000039668863,0.00022107447,0.000016348573,0.00016399332],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060705823,0.00013332898,0.00023868728,0.00016771547,0.00009402379,0.000020072433,0.0001390432,0.0001139589,0.00015238667],"category_scores_gemma":[0.0003052068,0.00012986702,0.000033451422,0.0005245353,0.00051638833,0.0001672057,0.00036319665,0.00029074273,1.3937444e-7],"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":[0.00004617538,0.00012516549,0.9814752,0.000017695857,0.000005909873,0.000036950994,0.005092796,0.0014048315,0.009174734,0.00019184785,0.000078791825,0.002349909],"study_design_scores_gemma":[0.0004364237,0.000060882656,0.949082,0.000052148807,0.0000018776745,0.0000034080908,0.015143217,0.00756269,0.024413908,0.0029573038,0.00015273958,0.00013335934],"about_ca_topic_score_codex":0.037232865,"about_ca_topic_score_gemma":0.0022431822,"teacher_disagreement_score":0.034989685,"about_ca_system_score_codex":0.0018634251,"about_ca_system_score_gemma":0.000066354485,"threshold_uncertainty_score":0.96917826},"labels":[],"label_agreement":null},{"id":"W3138422133","doi":"10.1016/j.jclepro.2021.126362","title":"Corrigendum to “Forestry carbon budget models to improve biogenic carbon accounting in life cycle assessment” [J. Clean. Prod. 213 (2019) 289–299]","year":2021,"lang":"en","type":"erratum","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; École de Technologie Supérieure; Canadian Forest Service; Natural Resources Canada; Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Carbon accounting; Carbon fibers; Forestry; Environmental science; Accounting; Natural resource economics; Environmental economics; Economics; Greenhouse gas; Computer science; Geography; Ecology; Production (economics); Macroeconomics","score_opus":0.01220563972784612,"score_gpt":0.25379771898202647,"score_spread":0.24159207925418036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3138422133","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96350044,0.0005321268,0.000046891226,0.0023682187,0.0244979,0.001281525,0.000016909979,0.00003282913,0.0077231876],"genre_scores_gemma":[0.931135,0.0005460896,0.0011721771,0.0006115276,0.005251883,0.000053708263,0.00006034444,0.0001868203,0.060982432],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99460703,0.00029581087,0.0014775182,0.0011264763,0.001557534,0.00093562313],"domain_scores_gemma":[0.9972666,0.000019252437,0.0010357335,0.00094674464,0.000111673995,0.0006199866],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019910133,0.000634324,0.00095389015,0.00041815228,0.00014339345,0.00016181593,0.0006865629,0.0005748204,0.00020406769],"category_scores_gemma":[0.00051283574,0.0006015561,0.00029684315,0.00082191604,0.00014343679,0.0008410152,0.0006727101,0.0021667634,0.000020093357],"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":[0.0010251012,0.0024193376,0.096260086,0.0007801479,0.00037482058,0.0004570556,0.0049721543,0.30228648,0.032337725,0.000008039637,0.4823158,0.076763235],"study_design_scores_gemma":[0.0036148762,0.0046474235,0.6581997,0.0019966657,0.0011075629,0.0009195213,0.015629424,0.029662076,0.017207699,0.003042684,0.25761753,0.0063547804],"about_ca_topic_score_codex":0.002438477,"about_ca_topic_score_gemma":0.00087344536,"teacher_disagreement_score":0.56193966,"about_ca_system_score_codex":0.0033773216,"about_ca_system_score_gemma":0.0004742145,"threshold_uncertainty_score":0.99964356},"labels":[],"label_agreement":null},{"id":"W3139099006","doi":"10.1016/j.biortech.2021.125012","title":"Life cycle energy–carbon–water footprints of sugar, ethanol and electricity from sugarcane","year":2021,"lang":"en","type":"article","venue":"Bioresource Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":51,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Bioproducts; Life-cycle assessment; Bioenergy; Environmental science; Carbon footprint; Water use; Biofuel; Electricity generation; Energy crop; Environmental engineering; Waste management; Agronomy; Greenhouse gas; Engineering; Production (economics); Biology; Ecology; Economics","score_opus":0.004198577032114108,"score_gpt":0.19321722430992613,"score_spread":0.18901864727781204,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3139099006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99553347,0.00033602415,0.000081821105,0.0013555761,0.00002220289,0.00008337689,0.000007509596,0.00008632499,0.0024936742],"genre_scores_gemma":[0.9989165,0.0000642733,0.00042345206,0.00023033531,0.000013250049,0.0000112832995,0.000009210619,0.000016834494,0.00031485056],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9986278,0.000069195085,0.00024260589,0.00044930875,0.00019772664,0.00041336587],"domain_scores_gemma":[0.9992191,0.000039810344,0.000061101564,0.0005091374,0.0000096651975,0.00016118011],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011508753,0.00017043542,0.00026315902,0.00007202397,0.00006479639,0.000009490222,0.00024211203,0.0002841681,0.0009160992],"category_scores_gemma":[0.00022773756,0.00014436414,0.00004442505,0.0003425474,0.00074468454,0.000038038157,0.0007786841,0.00018075256,0.00001830655],"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":[0.000025423367,0.00016512872,0.62232816,0.000006384898,0.000023664548,0.000030536485,0.00018604734,0.000020767116,0.3675,0.00013252265,0.000053398708,0.009527968],"study_design_scores_gemma":[0.00040347234,0.0001090252,0.19818312,0.00000467697,0.000021867689,0.000013180718,0.00032427858,0.00025595885,0.78996325,0.0058343345,0.0046794927,0.00020738004],"about_ca_topic_score_codex":0.0020061226,"about_ca_topic_score_gemma":0.0002134256,"teacher_disagreement_score":0.42414504,"about_ca_system_score_codex":0.00013723498,"about_ca_system_score_gemma":0.000017782755,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W3141447474","doi":"10.1111/jiec.13132","title":"Correcting remaining truncations in hybrid life cycle assessment database compilation","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Database; Computer science; Unavailability; Process (computing); Product (mathematics); Life-cycle assessment; Production (economics); Reliability engineering; Engineering; Mathematics","score_opus":0.0340381424529454,"score_gpt":0.30337268171107795,"score_spread":0.26933453925813255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141447474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9954102,0.00001085041,0.00048057275,0.0012188593,0.0006169485,0.000104964936,0.000007049503,0.0000040922732,0.002146487],"genre_scores_gemma":[0.99804556,0.000007893523,0.0014296194,0.00026091957,0.00016906737,0.0000023843377,0.000015059382,0.0000065908357,0.000062930085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99848276,0.0003392288,0.00058785186,0.00014696091,0.00021826768,0.00022490922],"domain_scores_gemma":[0.99903476,0.00029311603,0.00036647313,0.00014238403,0.000018892368,0.00014435887],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012740098,0.00008762524,0.00023847938,0.000061862695,0.00010638463,0.000023329654,0.00012408408,0.00008368443,0.0024726724],"category_scores_gemma":[0.0015684178,0.00008605508,0.000062154984,0.00022472352,0.00008990949,0.00038066859,0.00014885626,0.00054350164,0.000015625894],"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":[0.00004848721,0.0003110594,0.9490343,0.0000019370596,0.00001279691,0.00015962863,0.00018988713,0.038012464,0.0010909617,0.000022600068,0.0009599689,0.010155923],"study_design_scores_gemma":[0.0023304604,0.00028116268,0.9848103,0.000027492739,0.00003071448,0.00032274087,0.0030695288,0.006241337,0.0009747157,0.00049020845,0.0012660478,0.00015530657],"about_ca_topic_score_codex":0.00006884189,"about_ca_topic_score_gemma":0.0003088087,"teacher_disagreement_score":0.035775997,"about_ca_system_score_codex":0.0010670639,"about_ca_system_score_gemma":0.0002714091,"threshold_uncertainty_score":0.9984392},"labels":[],"label_agreement":null},{"id":"W3145249777","doi":"10.5281/zenodo.1134811","title":"Environmental Impact Assessment Of Household Consumption","year":2015,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","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":"Cochrane","funders":"European Commission","keywords":"Consumption (sociology); Environmental impact assessment; Natural resource economics; Environmental science; Economics; Sociology; Ecology; Biology; Social science","score_opus":0.05133935720264852,"score_gpt":0.28666147957775584,"score_spread":0.23532212237510733,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3145249777","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9623455,0.000019845722,0.0009585815,0.000059164802,0.00003080637,0.0003095752,0.00014798547,0.00014281715,0.03598576],"genre_scores_gemma":[0.99867404,0.000026375401,0.00035777636,0.000036394995,0.000019306271,3.4035892e-8,0.00034158234,0.00032777598,0.00021671606],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99846685,0.0002441214,0.00022144218,0.00028286516,0.0004946393,0.00029010983],"domain_scores_gemma":[0.9992063,0.000011087,0.000103659666,0.00038171868,0.000012899067,0.0002843161],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00073238864,0.00012756593,0.00013093311,0.000057217814,0.00048262672,0.0001121902,0.00046886064,0.00005114222,0.02645199],"category_scores_gemma":[0.00009672325,0.000121824996,0.00006331254,0.00014762585,0.00043468186,0.0003402134,0.0010286843,0.000155901,0.0023154444],"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":[0.00050554256,0.0044312966,0.3173887,0.00015759438,0.00022373894,0.00006683616,0.008637721,0.01971012,0.1620862,0.0010744983,0.25945687,0.22626087],"study_design_scores_gemma":[0.00094815105,0.00069579657,0.7943131,0.000007739726,0.000016653232,0.00007699997,0.000625908,0.00097134226,0.0012121305,0.00022892645,0.20065433,0.00024897332],"about_ca_topic_score_codex":0.000054310683,"about_ca_topic_score_gemma":2.3221614e-7,"teacher_disagreement_score":0.47692436,"about_ca_system_score_codex":0.0010789294,"about_ca_system_score_gemma":0.0000021729131,"threshold_uncertainty_score":0.99846137},"labels":[],"label_agreement":null},{"id":"W3149234440","doi":"10.18280/ijsdp.160115","title":"Analysis of the Factors Affecting the Choice of Whether to Internalize or Outsource the Task of Greenhouse Gas Inventory Calculations: The Cases of Indonesia, Vietnam, and Thailand","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Japan Society for the Promotion of Science","keywords":"Greenhouse gas; Transparency (behavior); Outsourcing; Business; Work (physics); Environmental economics; Developing country; Service provider; Environmental resource management; Agriculture; Natural resource economics; Economic growth; Public economics; Service (business); Economics; Marketing; Geography; Political science; Engineering","score_opus":0.02075528118151773,"score_gpt":0.2761296803009286,"score_spread":0.2553743991194109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3149234440","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987125,0.0003048444,0.00027616235,0.0004196067,0.000054931796,0.00015073692,0.000005555299,0.0000010920982,0.00007458361],"genre_scores_gemma":[0.9994429,0.00002643849,0.00007710143,0.000067101224,0.00001371231,0.0000019369604,0.0000015802509,0.00000562326,0.00036366025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854934,0.00017687885,0.0005120812,0.00010228404,0.0005247452,0.0001346388],"domain_scores_gemma":[0.9983921,0.00068758434,0.0006018035,0.00014100538,0.00013528806,0.00004218614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008959721,0.0001084554,0.0002311774,0.00010093732,0.00014701749,0.000029079338,0.00037339336,0.000032861488,0.00009647906],"category_scores_gemma":[0.00060911634,0.00004855874,0.000107046304,0.0003961453,0.00022087201,0.00015517054,0.00038987922,0.00014587566,9.9216024e-8],"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":[0.00009602483,0.00005378432,0.95796317,0.000028917217,0.00048896536,0.000026973239,0.03311326,0.0070943763,0.0005890217,0.000017864311,0.000033749355,0.00049392204],"study_design_scores_gemma":[0.00020919906,0.000042834756,0.9092599,0.00008377613,0.00015052657,0.000028723049,0.08623588,0.00025371628,0.0029410082,0.000033626427,0.0007051457,0.000055673943],"about_ca_topic_score_codex":0.0007016052,"about_ca_topic_score_gemma":0.00024473213,"teacher_disagreement_score":0.053122625,"about_ca_system_score_codex":0.00013025757,"about_ca_system_score_gemma":0.00007231197,"threshold_uncertainty_score":0.19801679},"labels":[],"label_agreement":null},{"id":"W3150117536","doi":"10.1039/d1se00335f","title":"Economic and life-cycle assessment of OME<sub>3–5</sub> as transport fuel: a comparison of production pathways","year":2021,"lang":"en","type":"article","venue":"Sustainable Energy & Fuels","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Kensington Health","funders":"Engineering and Physical Sciences Research Council","keywords":"Life-cycle assessment; Production (economics); Environmental science; Natural resource economics; Economics; Macroeconomics","score_opus":0.007104160179189821,"score_gpt":0.2385354688837616,"score_spread":0.23143130870457176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3150117536","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99006945,0.0003919943,0.00023045638,0.00018000849,0.00008570166,0.00021896059,0.000009549841,0.000025733796,0.008788142],"genre_scores_gemma":[0.9985669,0.00027908446,0.00019486103,0.000051642353,0.000032268537,0.000035545883,0.00002847392,0.000026438356,0.00078473054],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9979818,0.000109908135,0.0005628197,0.0005392042,0.00031679615,0.0004894873],"domain_scores_gemma":[0.99898976,0.00004235156,0.00024098907,0.00047624417,0.00003308535,0.00021759608],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041583547,0.00023335304,0.00047250072,0.000062346044,0.00012579549,0.000017714277,0.00015466879,0.00011743238,0.00051206164],"category_scores_gemma":[0.00006671567,0.00024429554,0.00012083411,0.00023579621,0.00043785849,0.00046742277,0.00021893602,0.00013382766,0.000005110235],"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":[0.00015009665,0.0016607543,0.6328968,0.0009643546,0.00013106718,0.00010132414,0.00322975,0.05591858,0.2798231,0.011186265,0.00022599907,0.013711932],"study_design_scores_gemma":[0.00066359394,0.0004189288,0.4765356,0.000021409067,0.00007646237,0.00001427277,0.017563267,0.0005683313,0.48886058,0.012102995,0.0027847867,0.0003898032],"about_ca_topic_score_codex":0.0012492419,"about_ca_topic_score_gemma":0.00032868487,"teacher_disagreement_score":0.20903747,"about_ca_system_score_codex":0.0006848339,"about_ca_system_score_gemma":0.00023565862,"threshold_uncertainty_score":0.9962083},"labels":[],"label_agreement":null},{"id":"W3151297347","doi":"10.1111/jiec.13122","title":"A comprehensive set of global scenarios of housing, mobility, and material efficiency for material cycles and energy systems modeling","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":78,"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":"Industrial ecology; Scenario analysis; Environmental economics; Life-cycle assessment; Resource efficiency; Computer science; Efficient energy use; Energy modeling; Built environment; Environmental resource management; Sustainability; Environmental science; Business; Civil engineering; Economics; Engineering; Ecology; Production (economics)","score_opus":0.028160344063174726,"score_gpt":0.2666319355304014,"score_spread":0.23847159146722666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151297347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986486,0.00006537556,0.0002146375,0.00008025804,0.00067800016,0.0001485982,0.00013118397,0.0000022785384,0.000031066633],"genre_scores_gemma":[0.99949783,0.00003948547,0.00026635212,0.000018270235,0.00015983701,0.0000026425464,0.0000040081695,0.000006194957,0.000005383599],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858236,0.00018797684,0.00067747204,0.0001693019,0.00017130986,0.00021159164],"domain_scores_gemma":[0.9992291,0.00009012041,0.0004262264,0.000105507956,0.00004675215,0.000102330036],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039154242,0.00012342598,0.0004966553,0.000023929695,0.00006244679,0.000024513814,0.00010509641,0.00021266109,0.00010376523],"category_scores_gemma":[0.00013830076,0.000107188804,0.00006895911,0.00007654711,0.00037238598,0.00013420802,0.00023227178,0.000082147475,1.093238e-7],"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":[0.0057417187,0.001294538,0.6671546,0.0004616299,0.00028053304,0.00011755049,0.0009276034,0.15566745,0.15873754,0.00040111569,0.00047471613,0.008740969],"study_design_scores_gemma":[0.06467451,0.03369717,0.4155553,0.0011952684,0.002238172,0.0061789113,0.05687237,0.21679308,0.1761042,0.017358948,0.0057336944,0.0035983822],"about_ca_topic_score_codex":0.00060874916,"about_ca_topic_score_gemma":0.0000788262,"teacher_disagreement_score":0.25159934,"about_ca_system_score_codex":0.0002423928,"about_ca_system_score_gemma":0.0000927782,"threshold_uncertainty_score":0.43710324},"labels":[],"label_agreement":null},{"id":"W3151586500","doi":"10.3390/ma14081848","title":"A State of the Art of the Overall Energy Efficiency of Wood Buildings—An Overview and Future Possibilities","year":2021,"lang":"en","type":"review","venue":"Materials","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":52,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Efficient energy use; Embodied energy; Architectural engineering; Cross laminated timber; Frame (networking); Engineering; Civil engineering; Construction engineering; Computer science; Mechanical engineering; Ecology","score_opus":0.018575923020104423,"score_gpt":0.2782133574962336,"score_spread":0.2596374344761292,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151586500","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36592135,0.63290656,6.0651604e-7,0.000024623276,0.00022190555,0.0004092426,0.00027469732,0.000003544418,0.00023745943],"genre_scores_gemma":[0.013230005,0.98594177,0.000040167557,0.000038393024,0.000033848508,0.0000177514,0.000013427251,0.000021676113,0.0006629892],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9978061,0.00059987244,0.00072547834,0.0003018888,0.00035738578,0.00020928474],"domain_scores_gemma":[0.9984312,0.000053091775,0.0006495314,0.0008116146,0.000008411079,0.00004613595],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055632443,0.0002653696,0.0011019248,0.000014017369,0.000059411817,0.00002350382,0.0005066,0.000115523,0.0011654894],"category_scores_gemma":[0.00004449581,0.00013546766,0.0002683824,0.00016528941,0.0006089166,0.000116224204,0.00082268857,0.000075053315,0.0000011446125],"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":[0.00008118502,0.002073855,0.0028018095,0.085963696,0.00042526686,0.000008496605,0.0069979313,0.00007400096,0.0392385,0.0064185187,0.0009051815,0.8550116],"study_design_scores_gemma":[0.0002656929,0.00020933458,0.008044062,0.004438239,0.00044220276,0.000026097863,0.00034232376,8.3055426e-7,0.03204814,0.001962289,0.95173585,0.00048495218],"about_ca_topic_score_codex":0.0004627962,"about_ca_topic_score_gemma":0.000029358069,"teacher_disagreement_score":0.95083064,"about_ca_system_score_codex":0.0001420173,"about_ca_system_score_gemma":0.000052069205,"threshold_uncertainty_score":0.9997476},"labels":[],"label_agreement":null},{"id":"W3151769979","doi":"10.1111/jiec.13129","title":"Life cycle assessment of an ecological living module equipped with conventional rooftop or integrated concentrating photovoltaics","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Industrial ecology; Life-cycle assessment; Photovoltaic system; Photovoltaics; Environmental economics; Environmental resource management; Embodied energy; Grid; Work (physics); Architectural engineering; Computer science; Environmental science; Ecology; Sustainability; Engineering; Economics; Production (economics); Mechanical engineering; Geography","score_opus":0.029076178201713373,"score_gpt":0.2948235221214323,"score_spread":0.26574734391971894,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3151769979","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980494,0.000007050981,0.00031006595,0.00033530162,0.00026037937,0.00018287831,0.000011553398,0.0000067172873,0.0008366906],"genre_scores_gemma":[0.9951836,0.0000076292426,0.0042461245,0.0002704232,0.00012249844,0.000004357327,0.000008198393,0.000010090542,0.00014710477],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977705,0.0005299057,0.0007658692,0.00021297955,0.00038576574,0.00033496268],"domain_scores_gemma":[0.9982944,0.00041524007,0.0006726949,0.0001931946,0.00007179245,0.00035265397],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010674853,0.00015760497,0.0004676952,0.000036503265,0.000113840804,0.000030622225,0.00028421375,0.00025139758,0.013271377],"category_scores_gemma":[0.0025075353,0.00010938202,0.000105071675,0.00024299827,0.0003853386,0.00037895926,0.00022940649,0.00058901845,0.0000035281173],"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":[0.0005317721,0.00276233,0.9543396,0.00001044431,0.0001320033,0.0004721177,0.00018997733,0.027304767,0.011198621,0.00007559567,0.00061335514,0.0023693866],"study_design_scores_gemma":[0.005045895,0.00740771,0.9566549,0.00008198907,0.00013431793,0.0005505418,0.00591572,0.017453073,0.005222412,0.000486451,0.00070296554,0.0003440423],"about_ca_topic_score_codex":0.000075087555,"about_ca_topic_score_gemma":0.00038871987,"teacher_disagreement_score":0.01326785,"about_ca_system_score_codex":0.0007512863,"about_ca_system_score_gemma":0.0009173224,"threshold_uncertainty_score":0.9876306},"labels":[],"label_agreement":null},{"id":"W3153744111","doi":"10.1007/s11367-021-01880-7","title":"Wood forest resource consumption impact assessment based on a scarcity index accounting for wood functionality and substitutability (WoodSI)","year":2021,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Resource depletion; Life-cycle assessment; Resource (disambiguation); Natural resource economics; Environmental science; Stock (firearms); Scarcity; Deforestation (computer science); Environmental resource management; Business; Production (economics); Engineering; Economics; Ecology; Computer science","score_opus":0.018812055101759147,"score_gpt":0.32622074958049646,"score_spread":0.3074086944787373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3153744111","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9829975,0.000030748815,0.01167629,0.0038028574,0.00026151928,0.00031403144,0.000042600466,0.0000109238445,0.0008635739],"genre_scores_gemma":[0.99684036,0.000011315046,0.0018487967,0.0010286412,0.00018207934,0.000022002092,0.00002551895,0.000014295076,0.000026969386],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972668,0.00026781554,0.0006103502,0.0003047833,0.0012770481,0.00027319076],"domain_scores_gemma":[0.9981656,0.0006920293,0.0005011562,0.0003065026,0.00012760832,0.00020711464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023836156,0.00020987532,0.00026947632,0.00005588845,0.00025280597,0.00020702294,0.0004126285,0.00007314028,0.0008299575],"category_scores_gemma":[0.00040477642,0.00015133705,0.00025688647,0.0001036472,0.0002975616,0.00044732552,0.00025990987,0.00038435913,0.000003832733],"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":[0.00036500295,0.0006381901,0.93446976,0.000016585427,0.00012793638,0.000011559768,0.000071449685,0.06063568,0.00072704855,0.0001685453,0.00024402427,0.0025242106],"study_design_scores_gemma":[0.0016258275,0.00021017886,0.96156776,0.000033248525,0.00004739087,0.000040540413,0.00035383273,0.03267205,0.00018599219,0.0025087784,0.000607962,0.00014641015],"about_ca_topic_score_codex":0.00012274362,"about_ca_topic_score_gemma":0.00010891751,"teacher_disagreement_score":0.027963627,"about_ca_system_score_codex":0.0019337643,"about_ca_system_score_gemma":0.000308229,"threshold_uncertainty_score":0.9087452},"labels":[],"label_agreement":null},{"id":"W315443254","doi":"10.1021/acs.est.5b02106","title":"Strengthening the Link between Life Cycle Assessment and Indicators for Absolute Sustainability To Support Development within Planetary Boundaries","year":2015,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":94,"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":"","keywords":"Citation; Library science; Sustainability; Phone; World Wide Web; Engineering; Computer science","score_opus":0.012206793572368493,"score_gpt":0.27470756470888313,"score_spread":0.26250077113651465,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W315443254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98996514,0.000032492164,0.001531742,0.0064489953,0.00010992868,0.0013268676,0.000028015878,0.00009855708,0.00045826178],"genre_scores_gemma":[0.9899918,0.0000029522057,0.009226441,0.00031401002,0.00005087703,0.00019396123,0.000022500903,0.000021724658,0.00017571946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9966704,0.000059813316,0.0005526347,0.0009148186,0.0008345937,0.0009677033],"domain_scores_gemma":[0.9983765,0.00008008066,0.0001861645,0.00065352774,0.000006246905,0.0006974866],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.0025542576,0.00032992038,0.00030458556,0.00025084382,0.0015641471,0.00017166446,0.0009907548,0.00017177398,0.00019610387],"category_scores_gemma":[0.0003276511,0.0002554174,0.00004298383,0.00078837964,0.0074524703,0.0005040354,0.0018788854,0.0003590211,0.00006472887],"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":[0.00003484162,0.00008167839,0.87257147,0.000009568272,0.000018457638,0.0000050641574,0.004323335,0.0014913662,0.0005934062,0.00027903164,0.00017878202,0.12041299],"study_design_scores_gemma":[0.0006113655,0.00087891804,0.897864,0.0000046511823,0.00003145585,0.000014366074,0.01162271,0.0004294938,0.0033580228,0.006505899,0.07815914,0.00052001484],"about_ca_topic_score_codex":0.00009996793,"about_ca_topic_score_gemma":0.000061948405,"teacher_disagreement_score":0.11989298,"about_ca_system_score_codex":0.0030243357,"about_ca_system_score_gemma":0.00043793247,"threshold_uncertainty_score":0.9999898},"labels":[],"label_agreement":null},{"id":"W3156395638","doi":"10.1016/j.envpol.2021.117118","title":"Multi-regional industrial wastewater metabolism analysis for the Yangtze River Economic Belt, China","year":2021,"lang":"en","type":"article","venue":"Environmental Pollution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Institute of Hydrobiology; National Natural Science Foundation of China","keywords":"Yangtze river; China; Environmental science; Water resource management; Wastewater; Water pollution; Environmental protection; Geography; Environmental engineering; Ecology; Biology","score_opus":0.019198701134201555,"score_gpt":0.2317835681370607,"score_spread":0.21258486700285914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3156395638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99522686,0.00026167897,0.0018098218,0.0014543763,0.0002707607,0.0005486391,0.00024732866,0.00002528258,0.00015525082],"genre_scores_gemma":[0.9944979,0.00008423457,0.001101409,0.00038618466,0.00019511655,0.00008088784,0.00028022245,0.000025469766,0.0033485705],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981413,0.00013906402,0.0003391978,0.0005803173,0.0003113555,0.000488793],"domain_scores_gemma":[0.9991372,0.000052605774,0.00012456844,0.0005214328,8.5103983e-7,0.00016330037],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034464916,0.00028024687,0.00027686713,0.00004607559,0.0005065189,0.000051458584,0.0002681427,0.0001562782,0.005921443],"category_scores_gemma":[0.000019613199,0.000219161,0.00045774868,0.00016856725,0.000705652,0.00040237154,0.00035291968,0.00020018427,0.00037593805],"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":[0.00042202245,0.0017157602,0.7085411,0.000011067976,0.0019803557,0.000023945922,0.0036719968,0.15544116,0.104074776,0.00019636385,0.0072493665,0.016672075],"study_design_scores_gemma":[0.0012744981,0.00003699802,0.95708776,0.0000013102525,0.0005338757,0.00000918044,0.0005716076,0.0074845967,0.006673183,0.00017399834,0.025856804,0.000296167],"about_ca_topic_score_codex":0.00070554693,"about_ca_topic_score_gemma":0.0002289946,"teacher_disagreement_score":0.24854667,"about_ca_system_score_codex":0.0011653218,"about_ca_system_score_gemma":0.000016460463,"threshold_uncertainty_score":0.9949873},"labels":[],"label_agreement":null},{"id":"W3159979590","doi":"","title":"De Guangzhou à Naples : exportations françaises de déchets plastiques","year":2021,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Humanities; Forestry; Political science; Geography; Philosophy","score_opus":0.010804427858614853,"score_gpt":0.2642080817567204,"score_spread":0.25340365389810554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3159979590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9258826,0.0028969115,0.006949082,0.005598125,0.00018816763,0.00015401027,0.00005147418,0.00006641675,0.05821324],"genre_scores_gemma":[0.9190523,0.0007513948,0.015608941,0.0013210338,0.00007973937,0.000023068947,0.000020798903,0.00002463599,0.0631181],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99806434,0.00020554438,0.00029232726,0.00040057482,0.00027057438,0.000766659],"domain_scores_gemma":[0.9989705,0.00018673476,0.00005755471,0.00035211525,0.000012039505,0.0004210207],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00031234283,0.00023247999,0.00019308524,0.000022075943,0.00031859928,0.00012088387,0.00018453413,0.00019574696,0.06289227],"category_scores_gemma":[0.0003019035,0.00024799115,0.00014902855,0.00021374923,0.00073300855,0.0005052367,0.0002027656,0.0002282078,0.000763062],"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":[0.000014310709,0.0009353329,0.92201203,0.00009143437,0.000044509743,0.0003822377,0.007265389,0.0022268032,0.024621964,0.004865639,0.013055527,0.024484832],"study_design_scores_gemma":[0.00023000276,0.00007994441,0.82797825,0.000031390984,0.000052936233,0.00008979148,0.008128171,0.0009325462,0.07760054,0.0051186094,0.07943375,0.00032407822],"about_ca_topic_score_codex":0.0048393267,"about_ca_topic_score_gemma":0.0033597138,"teacher_disagreement_score":0.09403378,"about_ca_system_score_codex":0.0010203059,"about_ca_system_score_gemma":0.00019690281,"threshold_uncertainty_score":0.99999726},"labels":[],"label_agreement":null},{"id":"W3161942261","doi":"10.11575/sppp.v10i0.43053","title":"Big and Little Feet Provincial Profiles: Saskatchewan","year":2017,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Context (archaeology); Production (economics); Agricultural economics; Investment (military); Goods and services; Business; Economics; Natural resource economics; Environmental science; Geography; Economy; Political science","score_opus":0.14441023031718786,"score_gpt":0.5043611858367754,"score_spread":0.3599509555195875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3161942261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9816795,0.0007894405,0.00004745297,0.0002554301,0.0002555997,0.0006856024,0.000040981457,0.000020004876,0.016225988],"genre_scores_gemma":[0.99664414,0.0006803871,0.00024171895,0.00017335446,0.00013917497,0.0000353647,0.0000045814754,0.000033653978,0.002047597],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977112,0.00015278402,0.0005048033,0.0005175965,0.0006378664,0.0004757485],"domain_scores_gemma":[0.99797267,0.000079143516,0.0006519908,0.00087168696,0.000020876058,0.00040361407],"candidate_categories":["metaepi_narrow","scholarly_communication","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001180269,0.00030017833,0.00049582246,0.000107836335,0.0008861859,0.0016824777,0.0025934265,0.00012078724,0.0119616585],"category_scores_gemma":[0.0003729063,0.00025634954,0.00011446431,0.00015672292,0.0009778661,0.0031389578,0.0033407202,0.00031545007,0.000052699506],"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":[0.000092507114,0.00021904697,0.90996176,0.000042664913,0.000026685917,0.000024289335,0.000512754,0.000013936487,0.03461843,0.0000068716754,0.0057819732,0.048699103],"study_design_scores_gemma":[0.00039603436,0.00001957863,0.97172713,0.000054547378,0.000030582454,0.000009177137,0.00044596818,0.000025899883,0.01669525,0.0041620876,0.0061078887,0.0003258406],"about_ca_topic_score_codex":0.008307871,"about_ca_topic_score_gemma":0.0011235707,"teacher_disagreement_score":0.06176541,"about_ca_system_score_codex":0.00030401954,"about_ca_system_score_gemma":0.000076024604,"threshold_uncertainty_score":0.99998885},"labels":[],"label_agreement":null},{"id":"W3162573952","doi":"10.5430/rwe.v12n3p53","title":"Mathematical Discussion on the Relationship Between SUTs and SIOTs","year":2021,"lang":"en","type":"article","venue":"Research in World Economy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Computable general equilibrium; Computer science; Economics; Macroeconomics","score_opus":0.12984957298282887,"score_gpt":0.38069953187164796,"score_spread":0.2508499588888191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3162573952","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.88446504,0.000014252124,0.000010272096,0.017839763,0.000006091616,0.00022021579,0.0000013477654,0.000005159497,0.09743786],"genre_scores_gemma":[0.99260616,0.000005079649,0.00008756511,0.00009110481,0.000021624694,0.000029402237,0.0000028233371,0.0000065915547,0.0071496414],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871975,0.0003561777,0.00015856833,0.00024665223,0.00019645669,0.00032242003],"domain_scores_gemma":[0.99772036,0.0018234677,0.0000151086015,0.00031175144,0.0000024881467,0.00012680668],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016814984,0.00006962317,0.00009491017,0.000049667946,0.00021469564,0.00006339353,0.00013351327,0.000033312477,0.0029185687],"category_scores_gemma":[0.00036329342,0.000039920404,0.000023952454,0.00031875112,0.00039265087,0.00016262346,0.00029150184,0.0004101679,0.0006007813],"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":[0.0000042883685,0.000055695407,0.98796517,0.000012425941,0.0000013530392,0.000009190428,0.00019832153,0.000018725463,0.000013832379,0.009307013,0.0005854319,0.0018285337],"study_design_scores_gemma":[0.00008699897,0.000015749009,0.7990961,0.000020452548,7.3970307e-7,9.893371e-7,0.00032796428,0.00008588092,0.00018878495,0.19498314,0.0051424378,0.00005076895],"about_ca_topic_score_codex":0.000024017136,"about_ca_topic_score_gemma":0.00012062128,"teacher_disagreement_score":0.1888691,"about_ca_system_score_codex":0.00035653415,"about_ca_system_score_gemma":0.000013027228,"threshold_uncertainty_score":0.9979929},"labels":[],"label_agreement":null},{"id":"W3163872065","doi":"10.5334/jors.251","title":"Pymrio – A Python Based Multi-Regional Input-Output Analysis Toolbox","year":2021,"lang":"en","type":"article","venue":"Journal of Open Research Software","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":47,"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":"Norges Forskningsråd; Albert-Ludwigs-Universität Freiburg; European Commission; Polytechnique Montréal; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Python (programming language); Computer science; Toolbox; Interoperability; Visualization; Parsing; Software; Software engineering; Programming language; Data mining; Operating system","score_opus":0.137775458652134,"score_gpt":0.4194143989123656,"score_spread":0.2816389402602316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163872065","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9804399,0.00029876837,0.013401831,0.003525807,0.0000799455,0.00044648966,0.000023730927,0.00001446449,0.001769074],"genre_scores_gemma":[0.94781804,0.000055176795,0.04471179,0.00060465414,0.00006130192,0.00001363595,0.000020073383,0.000025527817,0.0066898265],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99594027,0.0007865859,0.0005384992,0.00037330872,0.001772579,0.0005887411],"domain_scores_gemma":[0.99808484,0.00044315096,0.00020478078,0.00056401466,0.00019080777,0.0005123771],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003809957,0.00016808364,0.0004321226,0.00022960191,0.00035534127,0.000420511,0.0012073633,0.00010593219,0.0080846455],"category_scores_gemma":[0.001775287,0.0001374534,0.00037253692,0.0017585532,0.00046340917,0.0009991664,0.0010149191,0.00076240976,0.00013988173],"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":[0.0002547659,0.001262498,0.95416474,0.000027111686,0.0002813575,0.0010379648,0.0006276603,0.008328302,0.001481105,0.000011238179,0.016194204,0.01632904],"study_design_scores_gemma":[0.0014734841,0.00029880638,0.9518951,0.000036585316,0.00011700302,0.000059845257,0.0013911998,0.001311744,0.0016764912,0.0004522856,0.041046828,0.00024061765],"about_ca_topic_score_codex":0.00057220977,"about_ca_topic_score_gemma":0.00040475413,"teacher_disagreement_score":0.032621875,"about_ca_system_score_codex":0.0011232644,"about_ca_system_score_gemma":0.00037281882,"threshold_uncertainty_score":0.9928221},"labels":[],"label_agreement":null},{"id":"W3164990458","doi":"10.22054/ijer.2021.50090.837","title":"قدرت پیشرانی بخش نفت و گاز در اقتصاد ملی و منطقهای (مطالعه موردی ایران و کانادا)","year":2021,"lang":"fa","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Medicine; Psychology","score_opus":0.20489359837137816,"score_gpt":0.551649472853733,"score_spread":0.34675587448235484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3164990458","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92156947,0.029975489,0.00020862935,0.0014476391,0.0019061085,0.0014609745,0.00032207792,0.000074598785,0.04303499],"genre_scores_gemma":[0.9579611,0.025290621,0.00058343087,0.0015916122,0.00045022034,0.00008102657,0.00007132472,0.0001972077,0.013773498],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9887782,0.0016046836,0.002564503,0.0020532922,0.0028678079,0.0021315457],"domain_scores_gemma":[0.99320394,0.0006581811,0.0017194807,0.002434108,0.00018300975,0.0018012936],"candidate_categories":["metaepi_narrow","scholarly_communication","open_science","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0034677053,0.0013668988,0.0021785973,0.0005423458,0.0012528031,0.0035095308,0.006309586,0.0006388749,0.2255666],"category_scores_gemma":[0.0010853978,0.0013642465,0.0010323097,0.0025730166,0.0017220067,0.0072390432,0.00736216,0.0018401179,0.0012218667],"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":[0.00033191955,0.0023933481,0.7747815,0.0003277945,0.00042467125,0.0009650484,0.0011075806,0.0009296763,0.112239495,0.000094901574,0.05954363,0.04686043],"study_design_scores_gemma":[0.0012765231,0.000060563063,0.8285513,0.000478833,0.00032009833,0.000121172576,0.0017935209,0.00018583184,0.083778575,0.0063383877,0.07555401,0.0015412075],"about_ca_topic_score_codex":0.004490877,"about_ca_topic_score_gemma":0.00048193996,"teacher_disagreement_score":0.22434473,"about_ca_system_score_codex":0.002239594,"about_ca_system_score_gemma":0.00045938927,"threshold_uncertainty_score":0.99990815},"labels":[],"label_agreement":null},{"id":"W3169031898","doi":"","title":"Méthode d'analyse : recherche et dénombrement d'escherichia coli thermotolérant : méthode par filtration sur membrane utilisant le milieu de culture mTEC modifié Centre d'expertise en analyse environnementale du Québec","year":2006,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Filtration (mathematics); Mathematics; Statistics","score_opus":0.046530102057352724,"score_gpt":0.27396469710932897,"score_spread":0.22743459505197625,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3169031898","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9529327,0.00377662,0.017549869,0.016154444,0.00017016375,0.0016913305,0.00019562333,0.00016130348,0.0073679546],"genre_scores_gemma":[0.9324059,0.0017538175,0.03616674,0.0016738323,0.00017386719,0.00012728806,0.00030173518,0.0001202957,0.027276516],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9898121,0.0045773964,0.001364537,0.0015366272,0.0010056504,0.0017036947],"domain_scores_gemma":[0.997099,0.00045589264,0.0004230815,0.0012645813,0.00003412942,0.00072333595],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.003903048,0.0011198823,0.0009195499,0.000103161125,0.0007385166,0.00024929366,0.0008405579,0.0008414441,0.018844858],"category_scores_gemma":[0.0003563959,0.0010250653,0.0006679505,0.0006376257,0.0013112638,0.0012359354,0.00051438354,0.001054412,0.0006501714],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037043486,0.0067520705,0.16336627,0.0002264793,0.0003454843,0.00015840522,0.01710424,0.03056804,0.74784744,0.00042428423,0.014617117,0.018219724],"study_design_scores_gemma":[0.0042952853,0.000461116,0.35820585,0.00013504397,0.0009589487,0.000064996864,0.02830376,0.116296105,0.444178,0.0016692623,0.042889267,0.0025423984],"about_ca_topic_score_codex":0.4528112,"about_ca_topic_score_gemma":0.205706,"teacher_disagreement_score":0.30366945,"about_ca_system_score_codex":0.00866759,"about_ca_system_score_gemma":0.000728284,"threshold_uncertainty_score":0.99921995},"labels":[],"label_agreement":null},{"id":"W3172329798","doi":"10.3370/lca.1.140","title":"LCA Software: TEAM&lt;sup&gt;TM&lt;/sup&gt;","year":2005,"lang":"en","type":"article","venue":"Journal of Life Cycle Assessment Japan","topic":"Environmental Impact and Sustainability","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":"PricewaterhouseCoopers (Canada)","funders":"","keywords":"Software; Computer science; Business; Engineering; Operating system","score_opus":0.007922173857156871,"score_gpt":0.26394424354467466,"score_spread":0.2560220696875178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3172329798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9823682,0.00019270115,0.0010125065,0.002638284,0.00020375845,0.00033562977,0.000012134189,0.000054039356,0.013182767],"genre_scores_gemma":[0.9828678,0.00015866337,0.013507183,0.0013993799,0.0005571057,0.000010459669,0.0000062414642,0.00005491436,0.0014382922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99571484,0.00026561576,0.0011913967,0.00043864406,0.0015473911,0.0008421134],"domain_scores_gemma":[0.9975725,0.00017369515,0.00069829857,0.00061320263,0.00003478129,0.0009075351],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014970424,0.0004328991,0.0006084913,0.0001292945,0.0003350255,0.000158563,0.0008150347,0.00019431116,0.005785218],"category_scores_gemma":[0.00027830814,0.0003702282,0.00040495693,0.0003128455,0.00039512402,0.0016578402,0.00043691415,0.0006673044,0.00041702722],"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":[0.00015879115,0.0020565183,0.87498564,0.00004250074,0.00017332484,0.000058103444,0.0013549512,0.036948923,0.008250081,0.00011135024,0.030246908,0.045612928],"study_design_scores_gemma":[0.0018759365,0.0007105832,0.88485914,0.000039566276,0.000109705456,0.00015472062,0.001112133,0.0040986612,0.00046642715,0.0008147871,0.10516294,0.0005954202],"about_ca_topic_score_codex":0.000055682933,"about_ca_topic_score_gemma":0.00005133184,"teacher_disagreement_score":0.07491603,"about_ca_system_score_codex":0.0019884983,"about_ca_system_score_gemma":0.00015511169,"threshold_uncertainty_score":0.99987495},"labels":[],"label_agreement":null},{"id":"W3174132502","doi":"10.1016/j.jclepro.2021.128014","title":"Net zero energy barns for industrial egg production: An effective sustainable intensification strategy?","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Zero-energy building; Renewable energy; Life-cycle assessment; Sustainability; Efficient energy use; Environmental economics; Environmental science; Production (economics); Engineering; Economics; Ecology","score_opus":0.0195390492312064,"score_gpt":0.2612745015639866,"score_spread":0.24173545233278024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3174132502","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99332905,0.00006225717,0.002607023,0.0020476372,0.000977872,0.00047330392,0.0000013421914,0.000018161503,0.0004833489],"genre_scores_gemma":[0.99290866,0.00003490953,0.00048208676,0.000060249167,0.001401111,0.000024397354,0.000018887584,0.000021526494,0.0050481497],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9981762,0.00026783516,0.00045588813,0.00039859954,0.00038445668,0.00031698373],"domain_scores_gemma":[0.99885863,0.000031089687,0.0003704835,0.00033931906,0.00024463976,0.0001558176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001257445,0.00016516761,0.00023421273,0.000065297325,0.00024755724,0.000073697556,0.00013415584,0.00012204242,0.00021259104],"category_scores_gemma":[0.0010178469,0.00014730149,0.00011732041,0.00028460592,0.0001849168,0.0015844357,0.000060391238,0.00026850056,0.0000048644465],"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":[0.0035174266,0.0036404487,0.0810285,0.00017933518,0.0002578199,0.00013831825,0.0034104104,0.177037,0.16759898,0.0019069018,0.05270167,0.5085832],"study_design_scores_gemma":[0.0022826616,0.003675031,0.2334923,0.000051706364,0.00030405115,0.0013102852,0.025130356,0.0005004488,0.5354556,0.026820827,0.17020668,0.0007700492],"about_ca_topic_score_codex":0.000114685994,"about_ca_topic_score_gemma":0.000039096627,"teacher_disagreement_score":0.50781316,"about_ca_system_score_codex":0.0008289435,"about_ca_system_score_gemma":0.00007221245,"threshold_uncertainty_score":0.600678},"labels":[],"label_agreement":null},{"id":"W3180482872","doi":"10.11575/sppp.v10i0.43054","title":"Big and Little Feet Provincial Profiles: Manitoba","year":2017,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Context (archaeology); Production (economics); Agricultural economics; Investment (military); Goods and services; Business; Geography; Economy; Economics; Political science; Archaeology","score_opus":0.022417606857732926,"score_gpt":0.2896709419996814,"score_spread":0.2672533351419485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3180482872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8627133,0.000008121453,2.8383258e-7,0.00024766847,0.00006113657,0.0003904472,0.000008667156,0.000009554415,0.13656086],"genre_scores_gemma":[0.996598,0.0003539999,0.00016868413,0.00004370803,0.0000833181,0.00005372126,0.0000028690645,0.000017014856,0.0026787082],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857265,0.00008318256,0.00019119935,0.0004372945,0.00017762366,0.00053807657],"domain_scores_gemma":[0.99897504,0.0000704874,0.00006456574,0.00069941883,0.0000040053146,0.00018645693],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009525548,0.00012498967,0.00015375215,0.000043272754,0.0005446381,0.00017336391,0.00042926843,0.00009729775,0.00027794205],"category_scores_gemma":[0.00036629173,0.00012011215,0.000035431854,0.000027131717,0.0012034012,0.00031646143,0.000908469,0.00029730494,0.000058064772],"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":[0.00003452182,0.00008222022,0.67615634,0.0000139727035,0.0000035721785,0.000015078964,0.00019743652,0.0000343399,0.00050565036,0.000038987546,0.000036805202,0.32288107],"study_design_scores_gemma":[0.0003824845,0.00010834725,0.9822242,0.00000870082,0.00000156278,0.0000061345886,0.0011321254,0.00047946326,0.0005824068,0.0009475998,0.013961495,0.00016543055],"about_ca_topic_score_codex":0.0011775885,"about_ca_topic_score_gemma":0.0042551206,"teacher_disagreement_score":0.32271564,"about_ca_system_score_codex":0.0009362932,"about_ca_system_score_gemma":0.000039688395,"threshold_uncertainty_score":0.48980314},"labels":[],"label_agreement":null},{"id":"W3183954854","doi":"10.1111/jiec.13167","title":"Attributional and consequential life cycle assessments in a circular economy with integration of a quality indicator: A case study of cascading wood products","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"FPInnovations; Université de Sherbrooke","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Circular economy; Quality (philosophy); Perspective (graphical); Resource (disambiguation); Environmental economics; Industrial ecology; Life-cycle assessment; Popularity; Risk analysis (engineering); Business; Computer science; Sustainability; Economics; Production (economics); Microeconomics; Psychology; Ecology; Social psychology","score_opus":0.05106811241240252,"score_gpt":0.3269758930842887,"score_spread":0.2759077806718862,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3183954854","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992623,0.000017333849,0.000036977064,0.00023317467,0.00006779317,0.00030936557,0.0000070819087,0.0000010678064,0.00006495035],"genre_scores_gemma":[0.9997498,0.0000029311648,0.00016602965,0.00003100025,0.000035642235,0.0000050092676,0.0000020965185,0.000004143484,0.00000339391],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981879,0.0005559739,0.00073755265,0.00017412427,0.00019360468,0.00015082464],"domain_scores_gemma":[0.9989069,0.00013683294,0.00069448457,0.000117223644,0.0000406047,0.00010394934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013396863,0.000096409945,0.0004008584,0.00008213265,0.000045789846,0.000010772603,0.00007463341,0.00011992217,0.00024018463],"category_scores_gemma":[0.00055258593,0.00008164699,0.000036757214,0.00020361133,0.00025882592,0.00026251288,0.00010065643,0.00032343026,4.2974483e-7],"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":[0.00030460407,0.0016045995,0.99065316,0.000015174447,0.00009158429,0.0009009936,0.0011713515,0.0006361621,0.0038996593,0.000020585556,0.000018498797,0.0006836037],"study_design_scores_gemma":[0.008595468,0.003155803,0.9468799,0.000028467055,0.000117462565,0.0032054444,0.0316524,0.000097666794,0.005782961,0.0002802405,0.000038553935,0.00016560458],"about_ca_topic_score_codex":0.0007964104,"about_ca_topic_score_gemma":0.0008721761,"teacher_disagreement_score":0.043773253,"about_ca_system_score_codex":0.0004942237,"about_ca_system_score_gemma":0.00038650507,"threshold_uncertainty_score":0.33294675},"labels":[],"label_agreement":null},{"id":"W3185446032","doi":"10.1007/s11367-021-01934-w","title":"How can LCA include prospective elements to assess emerging technologies and system transitions? The 76th LCA Discussion Forum on Life Cycle Assessment, 19 November 2020","year":2021,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Horizon 2020 Framework Programme","keywords":"Consistency (knowledge bases); Computer science; Emerging technologies; Proxy (statistics); Life-cycle assessment; Process (computing); Risk analysis (engineering); Data science; Process management; Management science; Operations research; Engineering; Business; Artificial intelligence; Machine learning; Economics","score_opus":0.012869216323241818,"score_gpt":0.30506688390883235,"score_spread":0.2921976675855905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3185446032","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8214699,0.00004911691,0.004154877,0.17176926,0.00039037855,0.00048373634,0.00004988801,0.000034239572,0.0015986145],"genre_scores_gemma":[0.99602145,0.00006881691,0.0017021539,0.0018056667,0.000124783,0.000053519358,0.000008822132,0.000022225595,0.00019255574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9969882,0.00025659017,0.0005713695,0.0003447865,0.0014807191,0.0003583632],"domain_scores_gemma":[0.9987197,0.00015639108,0.00044594408,0.0003607326,0.000083786086,0.00023343813],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009879649,0.00025835523,0.00029560697,0.00007155147,0.00049824384,0.00039360652,0.00080478424,0.0000667302,0.00014922724],"category_scores_gemma":[0.00022469775,0.00013827656,0.00014996779,0.0002504446,0.0002088125,0.0005086428,0.0008072885,0.0005218708,0.000005142858],"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":[0.0004924734,0.002021676,0.8874916,0.00007776659,0.0012998997,0.00037039045,0.0035463062,0.040310964,0.018297877,0.006871677,0.006063233,0.033156164],"study_design_scores_gemma":[0.0017425404,0.00048112738,0.8800889,0.00019276618,0.00011159924,0.00018300483,0.10102198,0.006707015,0.002001112,0.003611743,0.0034595751,0.00039859838],"about_ca_topic_score_codex":0.0000944157,"about_ca_topic_score_gemma":0.00027448576,"teacher_disagreement_score":0.17455156,"about_ca_system_score_codex":0.0020822906,"about_ca_system_score_gemma":0.00019364027,"threshold_uncertainty_score":0.56387544},"labels":[],"label_agreement":null},{"id":"W3187461607","doi":"10.31235/osf.io/kc9ef","title":"Mexico's 20 years of North American Free Trade Agreement: Socio-Environmental Trends and Unequal Exchange","year":2021,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Free trade; Natural resource; Unit (ring theory); Latin Americans; Economics; Geography; Political science; Development economics; Economy; International trade; Sociology; Law","score_opus":0.008120143763980073,"score_gpt":0.22069183112327587,"score_spread":0.2125716873592958,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3187461607","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99265033,0.00009162525,0.00003954931,0.00087730633,0.000028108252,0.00009370046,0.00011053007,0.000018252358,0.0060905702],"genre_scores_gemma":[0.99597526,0.00017588194,0.00073621207,0.00038529918,0.000017870678,0.000008418011,0.000054827226,0.000016853055,0.0026293902],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842227,0.00009409394,0.00026217618,0.0004156316,0.00043216298,0.0003736825],"domain_scores_gemma":[0.99918735,0.000038939907,0.00009638871,0.000461688,7.8796006e-7,0.00021485408],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00013354929,0.0001864375,0.0002562147,0.000034094563,0.000081724094,0.00001597217,0.00020750154,0.000039057293,0.006936437],"category_scores_gemma":[0.000016984146,0.00018915336,0.00009884908,0.00027033294,0.0009705424,0.00021633679,0.0005637875,0.00012195429,0.000042192838],"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":[0.000014437487,0.0003018046,0.82861507,0.0000073752763,0.000024545901,0.00002802705,0.0009663838,0.000042079013,0.0019375312,0.000008948815,0.0013166222,0.16673714],"study_design_scores_gemma":[0.0005033697,0.00019099818,0.99005145,0.0000013950876,0.000027812732,0.000006384075,0.0019064292,0.000075591655,0.0018197788,0.00006319959,0.0051365406,0.00021705951],"about_ca_topic_score_codex":0.00046615698,"about_ca_topic_score_gemma":0.0013668647,"teacher_disagreement_score":0.16652009,"about_ca_system_score_codex":0.00028296857,"about_ca_system_score_gemma":0.0000068670847,"threshold_uncertainty_score":0.99397135},"labels":[],"label_agreement":null},{"id":"W3189855189","doi":"10.1016/j.jenvman.2021.113485","title":"A multi-sectoral decomposition and decoupling analysis of carbon emissions in Guangdong province, China","year":2021,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":96,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Decoupling (probability); Greenhouse gas; Natural resource economics; Input–output model; Per capita; Energy consumption; Environmental science; Population; Economics; Business; Engineering; Ecology","score_opus":0.006137478814928199,"score_gpt":0.25389826677318944,"score_spread":0.24776078795826123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3189855189","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985019,0.00025764207,0.00029484727,0.00007239141,0.00004071476,0.00017412746,0.000007252454,0.00000304209,0.00064808235],"genre_scores_gemma":[0.9936339,0.0002953237,0.0056677186,0.000037055554,0.000008210502,0.0000031514005,0.0000070726483,0.000011024147,0.00033653373],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998458,0.00008330658,0.0005834493,0.00025118343,0.00039379744,0.00023021662],"domain_scores_gemma":[0.99932224,0.000024478786,0.00029809595,0.00021465891,0.0000019158852,0.00013862146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039188308,0.00016194765,0.00035507913,0.0002096481,0.000052442567,0.000018347184,0.00014165459,0.000053052223,0.0006477472],"category_scores_gemma":[0.000012480003,0.00015063908,0.00016365528,0.00037022255,0.00015891278,0.00023112675,0.00037429915,0.00016101958,0.0000017555418],"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":[0.000050606737,0.0009140395,0.9427651,0.000029669354,0.0002467442,0.00023084362,0.00042165848,0.013314861,0.037781052,0.0000045090646,0.0000083428,0.004232548],"study_design_scores_gemma":[0.00076945394,0.00009952443,0.98793906,0.000030354588,0.0004167733,0.000018297438,0.0010793507,0.0069474154,0.002402884,0.00006411226,0.00009270847,0.00014005536],"about_ca_topic_score_codex":0.00009899821,"about_ca_topic_score_gemma":0.00016245797,"teacher_disagreement_score":0.045173947,"about_ca_system_score_codex":0.0006774062,"about_ca_system_score_gemma":0.0000067535825,"threshold_uncertainty_score":0.70923775},"labels":[],"label_agreement":null},{"id":"W3190258546","doi":"10.1021/acs.est.1c03060","title":"A Commodity Supply Mix for More Regionalized Life Cycle Assessments","year":2021,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"UK Research and Innovation; Economic and Social Research Council; Gordon and Betty Moore Foundation","keywords":"Commodity; Supply chain; Scarcity; Water scarcity; Production (economics); Life-cycle assessment; Water use; Consumption (sociology); Environmental science; Biodiversity; Natural resource economics; Business; Water resource management; Environmental resource management; Geography; Economics; Agriculture; Ecology","score_opus":0.010494073429245777,"score_gpt":0.2866827839068063,"score_spread":0.2761887104775605,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3190258546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913179,0.00012268792,0.0015498672,0.0038127021,0.00016153707,0.00066477,0.00007059003,0.00013890443,0.0021609953],"genre_scores_gemma":[0.98856753,0.000056373454,0.008629513,0.0011651793,0.000025272217,0.00018603912,0.000057960675,0.000029046321,0.0012830588],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99650353,0.00006101257,0.00039791066,0.0011381484,0.00085066096,0.0010487568],"domain_scores_gemma":[0.998377,0.00006362106,0.00015210795,0.000986804,0.0000068935224,0.0004135733],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006208767,0.0003306688,0.0003442175,0.00014931108,0.0008732606,0.00006746792,0.0010011591,0.00022755495,0.003926291],"category_scores_gemma":[0.00023308698,0.0003286065,0.00015354273,0.0010402678,0.006120976,0.00069910934,0.0015468051,0.00030420357,0.00031655212],"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":[0.0000918316,0.0016295748,0.7266656,0.000017451353,0.000031377163,0.000074176845,0.00033179586,0.00083816744,0.24534394,0.0015386194,0.002075201,0.021362264],"study_design_scores_gemma":[0.0029246602,0.0005882319,0.7231517,0.00001979353,0.00007080603,0.00019293677,0.0041193636,0.005966402,0.119700246,0.020097544,0.12193443,0.0012338955],"about_ca_topic_score_codex":0.00005265368,"about_ca_topic_score_gemma":0.000022551323,"teacher_disagreement_score":0.12564369,"about_ca_system_score_codex":0.0017675412,"about_ca_system_score_gemma":0.000098874654,"threshold_uncertainty_score":0.9999166},"labels":[],"label_agreement":null},{"id":"W3194408788","doi":"10.1088/1748-9326/ac1e3b","title":"Provincial nitrogen footprints highlight variability in drivers of reactive nitrogen emissions in Canada","year":2021,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Per capita; Environmental science; Agricultural economics; Fossil fuel; Carbon footprint; Greenhouse gas; Footprint; Reactive nitrogen; Production (economics); Agriculture; Natural resource economics; Environmental protection; Geography; Nitrogen; Economics; Engineering; Ecology; Waste management; Chemistry; Population","score_opus":0.011861229390368702,"score_gpt":0.25743249615420777,"score_spread":0.24557126676383906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194408788","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99615824,0.000021991245,0.000009810503,0.0012216895,0.00004491316,0.00061799376,0.00008259631,0.000005861497,0.001836892],"genre_scores_gemma":[0.9992576,0.00003060299,0.00028180628,0.00021031553,0.000015799884,0.000063790045,0.0000397386,0.000023628909,0.00007668025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995096,0.0012299005,0.00051605876,0.0007713706,0.0014197454,0.0009668694],"domain_scores_gemma":[0.99852586,0.000420513,0.00008407722,0.0006310735,0.00000418486,0.000334266],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0016471338,0.00024306023,0.00033449035,0.00010464347,0.0001296154,0.000014907253,0.00045015645,0.00009824809,0.002683231],"category_scores_gemma":[0.0004549696,0.00025301098,0.00009102994,0.0005300977,0.00078082946,0.00028873057,0.0010146633,0.0007351001,0.000043684773],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000068617424,0.00045857325,0.82793933,0.000013635724,0.0000110918645,0.00032343302,0.00048969727,0.00036314735,0.16873015,0.000009308243,0.00025896047,0.001334028],"study_design_scores_gemma":[0.0006534653,0.000039008668,0.87564814,0.000016873222,0.0000048920715,0.000006844375,0.0020990204,0.00010418372,0.11919616,0.0011111548,0.000889028,0.00023124559],"about_ca_topic_score_codex":0.5217117,"about_ca_topic_score_gemma":0.46677008,"teacher_disagreement_score":0.054941606,"about_ca_system_score_codex":0.013961099,"about_ca_system_score_gemma":0.00041799413,"threshold_uncertainty_score":0.9999922},"labels":[],"label_agreement":null},{"id":"W3194706239","doi":"10.14710/jsp.2021.12000","title":"Strategies for Energy and Climate Management at the British Columbia Institute of Technology","year":2021,"lang":"en","type":"article","venue":"Journal of Sustainability Perspectives","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Greenhouse gas; Renewable energy; Sustainability; Efficient energy use; Climate change; Business; Electricity; Environmental economics; Engineering; Environmental science; Environmental resource management; Economics","score_opus":0.004388574088175545,"score_gpt":0.23420940385477007,"score_spread":0.22982082976659451,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3194706239","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99436843,0.0010640211,0.00046103532,0.0019811513,0.000049409216,0.00026347474,0.000009697428,0.00000693978,0.0017958456],"genre_scores_gemma":[0.99672526,0.0006423519,0.0010259836,0.000036319307,0.000016970262,0.0000165895,8.4726037e-7,0.000008060457,0.0015276194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99881697,0.00006734373,0.00036189807,0.00024361536,0.00022855391,0.00028162557],"domain_scores_gemma":[0.9992518,0.000054357497,0.00022084644,0.00025483908,0.00015087117,0.00006733099],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00055021595,0.000095672105,0.00025274794,0.000025304273,0.00045932675,0.0001999842,0.00018719815,0.00006788004,0.00026316012],"category_scores_gemma":[0.00019929268,0.0000975684,0.00013560617,0.00024637513,0.001711312,0.00046821625,0.00047989885,0.00010128817,2.062262e-7],"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":[0.0003909541,0.0017556848,0.88799655,0.000852154,0.0003331146,0.00045929576,0.006914772,0.0018326093,0.0021693213,0.01868743,0.0040768688,0.07453125],"study_design_scores_gemma":[0.00087773346,0.000400857,0.4412949,0.000024758803,0.000088952904,0.0003225727,0.40696296,0.000030942447,0.00045275694,0.11851502,0.0308559,0.000172651],"about_ca_topic_score_codex":0.0013036816,"about_ca_topic_score_gemma":0.014158173,"teacher_disagreement_score":0.44670165,"about_ca_system_score_codex":0.0012329177,"about_ca_system_score_gemma":0.00008030005,"threshold_uncertainty_score":0.7900593},"labels":[],"label_agreement":null},{"id":"W3195630781","doi":"10.1038/s41467-021-25300-4","title":"Global scenarios of resource and emission savings from material efficiency in residential buildings and cars","year":2021,"lang":"en","type":"article","venue":"Nature Communications","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":323,"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":"Israel Science Foundation","keywords":"Greenhouse gas; Reuse; Resource efficiency; Efficient energy use; Pillar; Environmental science; Environmental economics; Resource (disambiguation); Production (economics); Business; Natural resource economics; Engineering; Waste management; Computer science; Economics","score_opus":0.005382522924483098,"score_gpt":0.25879084943433905,"score_spread":0.25340832650985595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3195630781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961682,0.0012084115,0.000005478617,0.0011320803,0.000022386732,0.00009784572,0.00004037216,0.000008346069,0.0013168803],"genre_scores_gemma":[0.9973293,0.00020316176,0.0022870468,0.00009546894,0.00000590588,0.0000028591069,0.000031573003,0.000004143053,0.00004053455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992443,0.00012647898,0.00016859149,0.00019552709,0.00014502015,0.00012012211],"domain_scores_gemma":[0.9992098,0.000075130694,0.000054007673,0.00059036585,0.0000057737398,0.00006488186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017275396,0.000077411954,0.00011243779,0.000014262209,0.0001262707,0.000027574059,0.00028492874,0.0001482375,0.00011058821],"category_scores_gemma":[0.00017862332,0.000076461285,0.000019208594,0.00019573267,0.00038932287,0.00011507971,0.0011564561,0.00021788178,8.904833e-7],"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":[0.00002499935,0.00014002892,0.9499879,0.000007796528,0.0000037678283,0.0000037419684,0.0009433913,0.0000269992,0.045884725,0.00017167092,0.0005028479,0.0023021356],"study_design_scores_gemma":[0.00025368002,0.000015712778,0.98881215,0.000023684139,0.000011434694,0.000006436801,0.0007122734,0.00016722117,0.00399068,0.00079406734,0.0051318477,0.000080811085],"about_ca_topic_score_codex":0.0017997796,"about_ca_topic_score_gemma":0.001638276,"teacher_disagreement_score":0.041894045,"about_ca_system_score_codex":0.00016434031,"about_ca_system_score_gemma":0.00001350979,"threshold_uncertainty_score":0.31180006},"labels":[],"label_agreement":null},{"id":"W3196451653","doi":"10.1016/j.resconrec.2021.105882","title":"Development of a multi-factorial enviro-economic analysis model for assessing the interactive effects of combined air pollution control policies","year":2021,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada","keywords":"Factorial analysis; Factorial; Pollution; Factorial experiment; Control (management); Air pollution; Environmental science; Environmental planning; Computer science; Statistics; Mathematics; Chemistry; Artificial intelligence; Machine learning","score_opus":0.01486517970929118,"score_gpt":0.2799548784879383,"score_spread":0.26508969877864713,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196451653","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9449393,0.00004224905,0.05438625,0.00029587487,0.00004073825,0.00024512,0.000007155604,0.000005865082,0.000037440284],"genre_scores_gemma":[0.99549836,0.0000100482675,0.0041907877,0.00016576806,0.0000109625435,0.000015191943,0.000009382244,0.000005308658,0.00009419659],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991987,0.00009859225,0.0003245836,0.00016035202,0.00009981989,0.00011799106],"domain_scores_gemma":[0.99923134,0.00036724858,0.00023818211,0.000116134506,0.000010350003,0.00003676955],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031125807,0.00009131046,0.00022171448,0.000039412593,0.00017564592,0.000019373307,0.00006199858,0.000051760944,0.000011881878],"category_scores_gemma":[0.0001568199,0.00007017348,0.00009470468,0.00010630118,0.00017509608,0.0001438885,0.00006302678,0.000055289223,4.1044163e-7],"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":[0.0002097973,0.0002637129,0.6345044,0.00011853733,0.00042053298,4.860547e-7,0.025263483,0.18192255,0.14848244,0.000076360484,0.0000111656045,0.008726566],"study_design_scores_gemma":[0.00091610145,0.000016747328,0.54584634,0.000017019362,0.00014126522,2.8717199e-7,0.0017587027,0.43320158,0.017673006,0.00007915475,0.00027111662,0.00007866948],"about_ca_topic_score_codex":0.00020258337,"about_ca_topic_score_gemma":0.00016427955,"teacher_disagreement_score":0.251279,"about_ca_system_score_codex":0.00016325082,"about_ca_system_score_gemma":0.000027203067,"threshold_uncertainty_score":0.28615916},"labels":[],"label_agreement":null},{"id":"W3198343276","doi":"10.1007/s11356-021-16053-0","title":"An insight into the drag effect of water, land, and energy on economic growth across space and time: the application of improved Solow growth model","year":2021,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Drag; Inefficiency; Economics; Resource (disambiguation); Panel data; Natural resource economics; Agriculture; China; Natural resource; Economic geography; Environmental science; Geography; Ecology; Econometrics; Market economy","score_opus":0.006293609752854558,"score_gpt":0.28017833731101793,"score_spread":0.2738847275581634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3198343276","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795246,0.00010423511,0.00006781236,0.0011194998,0.000010279413,0.00022490353,0.00001675958,0.0000036874737,0.0005003905],"genre_scores_gemma":[0.9992098,0.00041786907,0.000038426693,0.000094482464,0.000010697709,0.000027878144,0.000006995003,0.0000067492847,0.00018710303],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99826115,0.00028207476,0.00016306127,0.00043324011,0.0004955773,0.00036487528],"domain_scores_gemma":[0.9993741,0.00009121516,0.000047080895,0.000335564,0.000005808177,0.00014626457],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0024407008,0.00012547233,0.00013793039,0.000033277876,0.00078608247,0.00006108909,0.00027194136,0.000058332087,0.000051031984],"category_scores_gemma":[0.000038065336,0.00006813448,0.000024105244,0.00015539191,0.0051201372,0.00038200247,0.0006426743,0.000150607,0.000010191656],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011615924,0.00010624193,0.07743849,0.000018118959,0.0000057972193,7.178208e-7,0.0039180783,0.00047919058,0.90226144,0.00059290556,0.000016451051,0.015046409],"study_design_scores_gemma":[0.0006113503,0.00087698235,0.20641673,0.000005819653,0.000010782797,0.000010869403,0.0009908604,0.06998684,0.7183567,0.0019963703,0.00056360813,0.00017304589],"about_ca_topic_score_codex":0.0016313246,"about_ca_topic_score_gemma":0.00009608754,"teacher_disagreement_score":0.1839047,"about_ca_system_score_codex":0.00029435242,"about_ca_system_score_gemma":0.000020717152,"threshold_uncertainty_score":0.9975874},"labels":[],"label_agreement":null},{"id":"W3200544786","doi":"10.1016/j.scitotenv.2021.150297","title":"Development of an SMR-induced environmental input-output analysis model – Application to Saskatchewan, Canada","year":2021,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"Western Economic Diversification Canada; Mitacs","keywords":"Greenhouse gas; Oil refinery; Electricity; Mains electricity; Electricity generation; Environmental science; Natural resource economics; Environmental engineering; Engineering; Waste management; Power (physics); Economics","score_opus":0.008281183289413243,"score_gpt":0.21288155158189,"score_spread":0.20460036829247677,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200544786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971729,0.000009854029,0.0012443573,0.00042539235,0.000046262227,0.00047907702,0.000029527982,0.000006588014,0.0005860608],"genre_scores_gemma":[0.99288565,0.0000018863975,0.0055471095,0.000103261,0.000007910099,0.00003782126,0.000008301748,0.000013633151,0.0013944379],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9964839,0.00010460517,0.00055738346,0.00064405194,0.001710362,0.0004996539],"domain_scores_gemma":[0.99787587,0.000027593662,0.00026099558,0.0015404982,0.0000054263505,0.00028959432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00094384025,0.00024949556,0.00029766612,0.00004730285,0.00050905754,0.000021081334,0.0011955942,0.000050274637,0.00034990816],"category_scores_gemma":[0.000028523717,0.00016969958,0.00014286843,0.00084681995,0.0010309572,0.00025560718,0.001626556,0.00015075874,0.000026169606],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000013023015,0.0002454613,0.0010776646,0.000003380084,0.000033113552,7.403081e-7,0.002556094,0.4940163,0.4941752,0.00001041577,0.00001029627,0.0078583155],"study_design_scores_gemma":[0.00018115909,0.00004917297,0.34590694,0.000004211363,0.00015067823,0.000005936489,0.005687491,0.055573232,0.5918349,0.00013882319,0.00016765992,0.0002997745],"about_ca_topic_score_codex":0.0132265,"about_ca_topic_score_gemma":0.017504157,"teacher_disagreement_score":0.43844306,"about_ca_system_score_codex":0.0020246864,"about_ca_system_score_gemma":0.00038741718,"threshold_uncertainty_score":0.9933445},"labels":[],"label_agreement":null},{"id":"W3201043633","doi":"10.1016/j.jobe.2021.103318","title":"Assessing the effect of structural parameters and building site in achieving low carbon building materialization using a life-cycle assessment approach","year":2021,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Canada Foundation for Innovation","keywords":"Carbon footprint; Greenhouse gas; Life-cycle assessment; Carbon fibers; Environmental economics; Quality (philosophy); Environmental science; Architectural engineering; Civil engineering; Engineering; Business; Computer science; Production (economics)","score_opus":0.006008663449552228,"score_gpt":0.26636290891072206,"score_spread":0.2603542454611698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201043633","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9752767,0.0001768484,0.024165407,0.000023153098,0.0001908898,0.00014041968,7.201345e-7,0.000009253442,0.000016586733],"genre_scores_gemma":[0.9424612,0.000009064264,0.05744851,0.0000085928605,0.000045545643,0.0000017852572,5.942554e-7,0.000024101044,5.929919e-7],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983893,0.00019515016,0.0005414762,0.00020531061,0.0003655399,0.00030324174],"domain_scores_gemma":[0.99920344,0.0001988683,0.00032237553,0.00016271343,0.000010827345,0.000101800964],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013243636,0.00020111022,0.00038441468,0.00010879691,0.00009246102,0.00017281178,0.00014952736,0.0000726814,0.000009243777],"category_scores_gemma":[0.00033574892,0.00015622687,0.000089634246,0.00032909698,0.000070103284,0.00066815485,0.00022465711,0.00031207356,2.5055988e-8],"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":[0.000005217416,0.0000073574492,0.17723456,0.00009176341,0.000013047028,0.00001044696,0.00014786585,0.4668258,0.355257,0.0000063356424,1.03424114e-7,0.00040047718],"study_design_scores_gemma":[0.00047896735,0.00006637234,0.3074089,0.00027062054,0.000057021945,0.00014240132,0.00024132087,0.6362187,0.054919943,0.000026967571,0.0000018005343,0.00016698283],"about_ca_topic_score_codex":0.00010748348,"about_ca_topic_score_gemma":0.0000010325123,"teacher_disagreement_score":0.30033708,"about_ca_system_score_codex":0.000607366,"about_ca_system_score_gemma":0.000022995464,"threshold_uncertainty_score":0.6370747},"labels":[],"label_agreement":null},{"id":"W3201065300","doi":"10.1186/s13717-021-00328-y","title":"Country-level land carbon sink and its causing components by the middle of the twenty-first century","year":2021,"lang":"en","type":"article","venue":"Ecological Processes","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"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":"Oak Ridge National Laboratory; Northern Arizona University; U.S. Department of Energy; National Science Foundation","keywords":"Sink (geography); Carbon sink; Climate change; Greenhouse gas; Environmental science; United Nations Framework Convention on Climate Change; Land use, land-use change and forestry; Environmental protection; Coupled model intercomparison project; Ecosystem; Natural resource economics; Primary production; Land use; Atmospheric sciences; Geography; Climate model; Ecology; Kyoto Protocol; Economics","score_opus":0.026671015416771547,"score_gpt":0.2238075575007684,"score_spread":0.19713654208399684,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201065300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99459845,0.0009397663,0.0000015577613,0.0008130755,0.000063421474,0.00020526037,0.000026725676,0.00000946349,0.003342275],"genre_scores_gemma":[0.9988735,0.00018069851,0.000013581012,0.0004768755,0.00001374455,0.000008562843,0.000006347207,0.0000052542287,0.00042147722],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990615,0.00007977149,0.00015908024,0.0002277777,0.00024275038,0.00022909771],"domain_scores_gemma":[0.9995323,0.00016248276,0.000078091056,0.0001547119,0.00001199926,0.000060461818],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016099768,0.000114699054,0.00013558168,0.0000034967418,0.00027666884,0.000027989707,0.00016234002,0.00007101378,0.00045982335],"category_scores_gemma":[0.0003614139,0.000060117618,0.00002527859,0.00019268777,0.00037990822,0.00008661898,0.0004383364,0.00013323114,0.0000046771984],"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":[0.00002194906,0.0005658842,0.9914211,0.00017209136,0.000014290473,0.000012214814,0.00068867445,0.00023546431,0.0062684454,0.000017202396,0.00036934754,0.00021335488],"study_design_scores_gemma":[0.0002633836,0.00004971218,0.98219246,0.000018527522,0.000021703401,0.000019429133,0.00055281137,0.00022372043,0.008200155,0.0003551549,0.007976795,0.00012613888],"about_ca_topic_score_codex":0.0001551416,"about_ca_topic_score_gemma":0.00047910915,"teacher_disagreement_score":0.009228611,"about_ca_system_score_codex":0.00012415471,"about_ca_system_score_gemma":0.000017618993,"threshold_uncertainty_score":0.50347435},"labels":[],"label_agreement":null},{"id":"W3201083830","doi":"","title":"Overview and recommendations for regionalized life cycle impact assessment","year":2019,"lang":"en","type":"preprint","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Operationalization; Robustness (evolution); Scale (ratio); Computer science; Geography; Cartography","score_opus":0.051693103678189245,"score_gpt":0.3971429047703915,"score_spread":0.34544980109220225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201083830","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9584303,0.00019555722,0.000030461058,0.003110178,0.00017515683,0.0025774178,0.00014578609,0.000022664055,0.035312477],"genre_scores_gemma":[0.9798393,0.013440841,0.0032931748,0.00032317988,0.000059390553,0.00053947646,0.00022166777,0.00005791877,0.0022250344],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974476,0.00030002109,0.0004887487,0.00085048954,0.00023893289,0.0006741985],"domain_scores_gemma":[0.99808836,0.00055820146,0.0001645878,0.00084885594,0.000012574814,0.000327431],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0021296837,0.000285488,0.00046994496,0.00011331351,0.00018540566,0.0001262455,0.00041589598,0.00027855864,0.0016235817],"category_scores_gemma":[0.00030018145,0.00027985533,0.000213019,0.00007346801,0.000398843,0.0002003245,0.0018068595,0.0008146014,0.000019653646],"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":[0.00028869344,0.0008423016,0.61123735,0.00062662933,0.00020812711,0.0000064776104,0.0008852984,0.04554767,0.00011737615,0.0005448911,0.0031431247,0.33655208],"study_design_scores_gemma":[0.00204446,0.0003701747,0.8094478,0.00017471713,0.000026749683,0.000007202046,0.00116293,0.075614646,0.000017768132,0.019742168,0.090539634,0.00085171964],"about_ca_topic_score_codex":0.0005615189,"about_ca_topic_score_gemma":0.0001871949,"teacher_disagreement_score":0.33570036,"about_ca_system_score_codex":0.0036948386,"about_ca_system_score_gemma":0.00026224196,"threshold_uncertainty_score":0.99996537},"labels":[],"label_agreement":null},{"id":"W3201575135","doi":"10.1016/j.rser.2021.111605","title":"Value-added diagnostics for the assessment and validation of integrated assessment models","year":2021,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","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":"Nexen (Canada)","funders":"Australian Research Council; Massachusetts Institute of Technology; National Science Foundation","keywords":"Value (mathematics); Model validation; Engineering; Biochemical engineering; Computer science; Data science; Machine learning","score_opus":0.02026477571164305,"score_gpt":0.28948685519080963,"score_spread":0.2692220794791666,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3201575135","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.3216949,0.06793606,0.5781778,0.0026895406,0.00022553145,0.0037740166,0.00005845157,0.0000659359,0.025377717],"genre_scores_gemma":[0.84670645,0.122569636,0.012832407,0.00059823785,0.00004218641,0.0005522716,0.00013369198,0.00003808684,0.01652703],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983328,0.00024670397,0.00043609377,0.00036383353,0.00021293525,0.00040766114],"domain_scores_gemma":[0.99894005,0.00033105456,0.00016764879,0.00039763786,0.000047013833,0.0001165975],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013285636,0.00020682267,0.00039854913,0.000023944813,0.0003382272,0.00007757833,0.00012964668,0.00007841274,0.0001908089],"category_scores_gemma":[0.00019659162,0.00014044225,0.00009510413,0.00026890397,0.00020600497,0.00034711344,0.00033458252,0.00008398695,3.47065e-7],"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":[0.00012915285,0.001967384,0.1703285,0.0034955116,0.00038125904,0.000096514086,0.0017046423,0.31484285,0.011027606,0.17979965,0.029559469,0.2866675],"study_design_scores_gemma":[0.001364545,0.0004212716,0.013388854,0.0001254383,0.00040044604,0.00002551123,0.010091896,0.077479884,0.011316186,0.072737016,0.8119983,0.00065065984],"about_ca_topic_score_codex":0.0024430796,"about_ca_topic_score_gemma":0.000087066765,"teacher_disagreement_score":0.7824388,"about_ca_system_score_codex":0.00040202128,"about_ca_system_score_gemma":0.000118608325,"threshold_uncertainty_score":0.5727069},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.998556,0.00008736737,0.000021041853,0.00010153918,0.000019522247,0.00059464545,0.000072096824,0.000006383148,0.0005413606],"genre_scores_gemma":[0.9995707,0.000073811956,0.00015394494,0.000027049246,0.0000027554545,0.000025687876,0.000006521349,0.00001174478,0.0001277286],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814594,0.00030243426,0.0004191844,0.00043666724,0.00038657422,0.00030919714],"domain_scores_gemma":[0.99899745,0.00017319433,0.00029353538,0.00037288666,0.000004089702,0.00015883279],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00054154044,0.00023951998,0.00040667996,0.00005030847,0.00018814167,0.000012602645,0.00011995266,0.00011260701,0.00023738158],"category_scores_gemma":[0.00006165829,0.0001683495,0.00007702629,0.00015682612,0.0047009126,0.0001080366,0.0008894564,0.00019297526,8.4926135e-8],"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":[0.000035616475,0.0005155821,0.99050957,0.00024657857,0.00011556688,0.00008222805,0.0042859805,0.00006362094,0.00053389673,0.00018036169,0.0000024684696,0.0034285071],"study_design_scores_gemma":[0.00072396494,0.00029458737,0.9009823,0.00001939012,0.00011439973,0.000060454324,0.09375593,0.00007374122,0.0032512904,0.0005250372,0.000031141044,0.0001677202],"about_ca_topic_score_codex":0.00010554167,"about_ca_topic_score_gemma":0.000047744274,"teacher_disagreement_score":0.08952725,"about_ca_system_score_codex":0.0004819452,"about_ca_system_score_gemma":0.00003446488,"threshold_uncertainty_score":0.9980077},"labels":[],"label_agreement":null},{"id":"W3204903595","doi":"10.3934/ctr.2021005","title":"Assessing the long term effects on climate change of metallurgical slags valorization as construction material: a comparison between static and dynamic global warming impacts","year":2021,"lang":"en","type":"article","venue":"Mathematical Biosciences & Engineering","topic":"Environmental Impact and Sustainability","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":"École de Technologie Supérieure","funders":"Vlaamse regering; Fonds Wetenschappelijk Onderzoek; KU Leuven; Polytechnique Montréal","keywords":"Portland cement; Environmental science; Global warming; Slag (welding); Carbon footprint; Ecological footprint; Global-warming potential; Ranking (information retrieval); Life-cycle assessment; Greenhouse gas; Climate change; Cement; Environmental engineering; Civil engineering; Waste management; Engineering; Sustainability; Production (economics); Computer science; Materials science; Metallurgy","score_opus":0.013404997637886688,"score_gpt":0.29883794617793236,"score_spread":0.2854329485400457,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3204903595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904578,0.000025852036,0.008772579,0.0001597286,0.000104201754,0.0002670141,0.000006660706,0.000034280965,0.00017191419],"genre_scores_gemma":[0.99663144,0.000015039896,0.0032796948,0.00002715457,0.000018880646,0.000012172268,0.0000057178636,0.000008184497,0.0000017401513],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861294,0.000077121775,0.00030550396,0.00026893214,0.00039285506,0.00034267647],"domain_scores_gemma":[0.9993611,0.00023808869,0.00010094562,0.00016934755,0.000005498879,0.00012501884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00045424988,0.00016895286,0.00027416437,0.000023374665,0.0001389963,0.00016379904,0.00013299838,0.00005764483,0.00009174596],"category_scores_gemma":[0.00022822249,0.000117377305,0.000047205285,0.0003093469,0.0003209307,0.00045763506,0.00020705265,0.00009153297,0.000012327035],"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":[0.000017122793,0.0003789801,0.77198255,0.001760958,0.000058937356,0.00006401156,0.0029899199,0.0018606338,0.16750948,0.00640433,0.0000015222992,0.046971556],"study_design_scores_gemma":[0.00017072423,0.00013596482,0.94176835,0.00021653315,0.00006887993,0.000038934686,0.00062003103,0.026998086,0.028450062,0.0013290261,0.000003352194,0.00020007152],"about_ca_topic_score_codex":0.000014827793,"about_ca_topic_score_gemma":0.0000017235549,"teacher_disagreement_score":0.1697858,"about_ca_system_score_codex":0.00019967333,"about_ca_system_score_gemma":0.00000812709,"threshold_uncertainty_score":0.47865078},"labels":[],"label_agreement":null},{"id":"W3205348916","doi":"10.1029/2021ef002399","title":"Scaling Deep Decarbonization Technologies","year":2021,"lang":"en","type":"article","venue":"Earth s Future","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canada Energy Regulator","funders":"National Academy of Sciences; Alfred P. Sloan Foundation","keywords":"Resource (disambiguation); Renewable energy; Business; Emerging technologies; Climate change mitigation; Climate change; Environmental economics; Natural resource economics; Environmental resource management; Environmental science; Economics; Engineering; Computer science","score_opus":0.0026492140376606875,"score_gpt":0.1930568913208161,"score_spread":0.1904076772831554,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205348916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98730564,0.00050915056,0.001340274,0.00144239,0.00016676231,0.00008978041,0.0000014616778,0.00016504012,0.008979505],"genre_scores_gemma":[0.99479795,0.000085913416,0.0037644142,0.00019519127,0.00006234399,0.0000039683005,0.0000110686415,0.000008323234,0.001070824],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999294,0.000028715254,0.000092763854,0.00021563981,0.00016823162,0.00020067139],"domain_scores_gemma":[0.99966043,0.000012097021,0.000024291934,0.00025761998,0.000004259986,0.000041309882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000072886745,0.0000879226,0.00007663695,0.000010636139,0.00011515024,0.0000286736,0.00009591634,0.000099437646,0.0019751193],"category_scores_gemma":[0.000073473326,0.000078704164,0.000038856888,0.00024561366,0.00010495562,0.00015810959,0.00017417988,0.0001236082,0.00020783194],"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":[0.000010126476,0.00013311836,0.6462912,0.000016069362,0.00001127332,0.00009458746,0.0010095071,0.00235036,0.013121438,0.00044451494,0.000535906,0.33598188],"study_design_scores_gemma":[0.00029925175,0.000035279314,0.781824,0.0000070920787,0.000014395464,0.00003724446,0.007842235,0.0013836396,0.06271426,0.0028303214,0.14268036,0.0003319413],"about_ca_topic_score_codex":0.000010960703,"about_ca_topic_score_gemma":0.000091072856,"teacher_disagreement_score":0.33564994,"about_ca_system_score_codex":0.00006445698,"about_ca_system_score_gemma":0.0000064415754,"threshold_uncertainty_score":0.9989372},"labels":[],"label_agreement":null},{"id":"W3205718592","doi":"10.3390/en14206820","title":"Decarbonizing Local Mobility and Greenhouse Agriculture through Residential Building Energy Upgrades: A Case Study for Québec","year":2021,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Concordia University","funders":"Concordia University","keywords":"Electricity; Photovoltaic system; Electrification; Environmental science; Greenhouse gas; Efficient energy use; Retrofitting; Electricity generation; Fossil fuel; Zero-energy building; TRNSYS; Greenhouse; Automotive engineering; Waste management; Engineering; Electrical engineering; Power (physics); Energy (signal processing)","score_opus":0.010797021191582757,"score_gpt":0.25477046889363286,"score_spread":0.2439734477020501,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3205718592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99657065,0.0005852244,0.0021191828,0.00017232781,0.00006357256,0.00022380963,0.000006262233,0.000058591217,0.00020038975],"genre_scores_gemma":[0.99696356,0.000035657235,0.0019484303,0.000117609925,0.000057494995,0.00008137193,0.0000037234731,0.000018839872,0.000773335],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9985031,0.0001313878,0.0002463023,0.00054469693,0.00022875497,0.00034577778],"domain_scores_gemma":[0.99934965,0.000135767,0.0000573693,0.00033569496,0.000010928633,0.00011058658],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019825708,0.00021350359,0.00022390275,0.0000129920745,0.0003930896,0.00008555779,0.00011549523,0.00008356093,0.000112457354],"category_scores_gemma":[0.00009340815,0.00017756179,0.0000906209,0.00016668497,0.00034779983,0.0003966395,0.0004262755,0.00009964193,0.0000013986858],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002937679,0.003964821,0.7764263,0.00019615924,0.0003241923,0.0095343,0.044378936,0.06730402,0.061906956,0.0014983104,0.0049630515,0.02920917],"study_design_scores_gemma":[0.005707614,0.001645965,0.30637437,0.000059670554,0.0005782478,0.0050479155,0.43732962,0.003146315,0.19199133,0.009147594,0.03640685,0.0025645199],"about_ca_topic_score_codex":0.15553641,"about_ca_topic_score_gemma":0.17463486,"teacher_disagreement_score":0.47005194,"about_ca_system_score_codex":0.00041999045,"about_ca_system_score_gemma":0.000035781442,"threshold_uncertainty_score":0.8500869},"labels":[],"label_agreement":null},{"id":"W3206596145","doi":"","title":"Sub-national variability in nitrogen emissions in Canada: Accounting for multiple supply-chain perspectives","year":2020,"lang":"en","type":"article","venue":"AGU Fall Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Supply chain; Business; Environmental science; Accounting; National accounts; Greenhouse gas; Natural resource economics; Economics; Marketing","score_opus":0.01295047119313698,"score_gpt":0.2306637491957981,"score_spread":0.21771327800266113,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3206596145","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99438,0.000020524612,0.000019576255,0.0014400735,0.000027928723,0.0005135514,0.000036648,0.00001953596,0.0035421348],"genre_scores_gemma":[0.99848783,0.000003765351,0.0010551645,0.00032368442,0.00003937039,0.00004789864,0.000017411101,0.000015964113,0.00000892174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99811417,0.000112863054,0.00042344845,0.00048334475,0.00038698237,0.00047919012],"domain_scores_gemma":[0.99874496,0.00079929765,0.00011292291,0.0001284509,0.000014409976,0.00019997885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013263932,0.00017409644,0.00019864585,0.000026245572,0.00011534298,0.000023402396,0.00020965368,0.00007123658,0.000036651832],"category_scores_gemma":[0.005472601,0.00018058842,0.000052559983,0.00020931564,0.00008366094,0.00024021392,0.00014806859,0.00025295437,0.000010255384],"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":[0.000034948876,0.00010815623,0.96048605,0.00002112833,0.0000033572476,0.0000072591106,0.0017892703,0.03332924,0.003611144,0.0000075810635,0.00021722064,0.0003846648],"study_design_scores_gemma":[0.00050270936,0.000018256722,0.97984713,0.000017253198,0.0000034945522,0.0000011017612,0.0049742246,0.011751794,0.0016454747,0.0007925185,0.0002451251,0.00020090981],"about_ca_topic_score_codex":0.8341644,"about_ca_topic_score_gemma":0.91723955,"teacher_disagreement_score":0.08307518,"about_ca_system_score_codex":0.0029246185,"about_ca_system_score_gemma":0.00027302705,"threshold_uncertainty_score":0.76477754},"labels":[],"label_agreement":null},{"id":"W3207430459","doi":"10.3233/jid200018","title":"Environment-Based Life Cycle Decomposition (eLCD): Adaptation of EBD to Sustainable Design","year":2021,"lang":"en","type":"article","venue":"Journal of Integrated Design and Process Science","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":"Concordia University","funders":"","keywords":"Sustainability; Sustainable design; Artifact (error); Adaptation (eye); Built environment; Process (computing); Product (mathematics); Computer science; Systems engineering; Design for the Environment; Life-cycle assessment; Product design; Architectural engineering; Process management; Engineering; Environmental economics; Production (economics); Civil engineering; Artificial intelligence","score_opus":0.014746001948782436,"score_gpt":0.26857227805552963,"score_spread":0.2538262761067472,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3207430459","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.52531284,0.00010351883,0.47406974,0.00018778726,0.000022016506,0.00017701654,0.0000011147742,0.000004464831,0.00012149878],"genre_scores_gemma":[0.94059926,0.00003297745,0.0589958,0.0002545299,0.000008210746,0.00000627787,0.0000010000042,0.000008128904,0.00009379649],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99803555,0.0001998556,0.00045450975,0.0002744833,0.00069248845,0.0003430942],"domain_scores_gemma":[0.9988815,0.00012609987,0.00029476915,0.00015989674,0.00015003957,0.00038766852],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019900033,0.00015344667,0.00023120531,0.00014093667,0.00022826262,0.00009093274,0.0002990879,0.0000566597,0.0004612151],"category_scores_gemma":[0.00061776774,0.00012323473,0.000050082446,0.0008631314,0.00055587845,0.00093057135,0.00007243086,0.00016557831,0.000009732819],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004372384,0.00036568544,0.00411965,0.000047110218,0.000009422785,0.00006354977,0.001895807,0.8049046,0.1771662,0.000038011796,0.000088729146,0.010864028],"study_design_scores_gemma":[0.001323946,0.0023414616,0.020604307,0.00012817464,0.00007235204,0.00013482042,0.019649692,0.21093851,0.73835313,0.0056432397,0.00035089516,0.00045947364],"about_ca_topic_score_codex":0.00007502627,"about_ca_topic_score_gemma":0.0000018826256,"teacher_disagreement_score":0.59396607,"about_ca_system_score_codex":0.00047620863,"about_ca_system_score_gemma":0.00055027293,"threshold_uncertainty_score":0.5049982},"labels":[],"label_agreement":null},{"id":"W3208367635","doi":"10.32920/ryerson.14645340.v1","title":"A life cycle assessment model of Canadian residential dwellings and building stocks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Benchmarking; Life-cycle assessment; Interdependence; Environmental economics; Engineering; Architectural engineering; Computer science; Business; Production (economics); Economics","score_opus":0.015412773408808913,"score_gpt":0.26158417243241233,"score_spread":0.2461713990236034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3208367635","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765608,0.00005870139,0.0062465216,0.00060495833,0.00006844116,0.00037274597,0.000025925448,0.000016111991,0.016045842],"genre_scores_gemma":[0.9767788,0.00013789411,0.022033865,0.0003000122,0.000016762682,0.00001929756,0.0000166495,0.000020189835,0.0006765432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982396,0.00006461749,0.0003528328,0.0005692982,0.00038698487,0.00038667241],"domain_scores_gemma":[0.9986404,0.000023508075,0.00012096312,0.00048048023,0.000008163508,0.0007264658],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003919174,0.00023967134,0.00032679868,0.00012966337,0.000122666,0.00009408998,0.0002618761,0.0002382662,0.002213213],"category_scores_gemma":[0.000073173185,0.00024422436,0.000106233834,0.00013367218,0.00026492006,0.00017194767,0.0014260169,0.00041729352,0.0000036069935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014091358,0.00015791309,0.13661635,0.00020244486,0.0000665716,0.00002396867,0.0020987368,0.8481851,0.009750712,0.00030630312,0.0009537501,0.0016240587],"study_design_scores_gemma":[0.00046363345,0.00007295268,0.2566722,0.000091915106,0.00012745497,0.0000054418238,0.0026697423,0.72501516,0.004327702,0.009363201,0.00028345996,0.000907132],"about_ca_topic_score_codex":0.5130068,"about_ca_topic_score_gemma":0.15399127,"teacher_disagreement_score":0.35901555,"about_ca_system_score_codex":0.0008352924,"about_ca_system_score_gemma":0.0003750964,"threshold_uncertainty_score":0.9986989},"labels":[],"label_agreement":null},{"id":"W3209287529","doi":"10.1080/15435075.2021.1978447","title":"ASSESSMENT OF WIND ENERGY IN INDIA AT THE NATIONAL AND SUB- NATIONAL LEVEL: ATTRIBUTIONAL LCA EXERCISE","year":2021,"lang":"en","type":"article","venue":"International Journal of Green Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Wind power; Turbine; Tonne; Circular economy; Life-cycle assessment; Environmental science; Natural resource economics; Business; Environmental economics; Engineering; Agricultural economics; Production (economics); Waste management; Economics; Mechanical engineering","score_opus":0.016251666709513786,"score_gpt":0.2831541908686808,"score_spread":0.26690252415916704,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209287529","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98862803,0.00027440037,0.00049625355,0.0022637174,0.0002643821,0.00003563375,0.00012551917,0.0000026553337,0.007909435],"genre_scores_gemma":[0.996873,0.00021857415,0.00032594524,0.00065932673,0.00011311589,0.000003026274,0.00004510295,0.000008110027,0.0017537859],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972942,0.00011408415,0.00052209734,0.0001775811,0.0017303489,0.00016170974],"domain_scores_gemma":[0.9991071,0.00017499282,0.00032500166,0.00006996225,0.00023117664,0.00009173732],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00068138656,0.00012479982,0.00017997468,0.00010654475,0.00006715027,0.000026555175,0.00031103316,0.00006885696,0.0017033998],"category_scores_gemma":[0.00012247206,0.00009992941,0.000109343615,0.00018067176,0.00028913876,0.00034081138,0.0003841673,0.00013753035,0.0000033765498],"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":[0.0002744922,0.0010938129,0.89626235,0.000011026668,0.00026877492,0.0002241447,0.00029332124,0.018212415,0.028502436,0.030451972,0.0073695006,0.017035782],"study_design_scores_gemma":[0.00071545993,0.000041481573,0.97222245,0.00002536825,0.000009371844,0.00023497244,0.00006006666,0.0006179055,0.0071027693,0.0069098915,0.011957899,0.00010235544],"about_ca_topic_score_codex":0.00051723554,"about_ca_topic_score_gemma":0.00058996474,"teacher_disagreement_score":0.07596014,"about_ca_system_score_codex":0.0014288918,"about_ca_system_score_gemma":0.00020803459,"threshold_uncertainty_score":0.99920917},"labels":[],"label_agreement":null},{"id":"W3209883919","doi":"10.1111/jiec.13206","title":"The sociometabolic transition of a small Greek island: Assessing stock dynamics, resource flows, and material circularity from 1929 to 2019","year":2021,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","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":"University of Waterloo","funders":"Universidade de Lisboa; OeAD-GmbH; Austrian Science Fund; European Commission","keywords":"Circular economy; Sustainability; Material flow analysis; Stock (firearms); Action plan; Openness to experience; Resource efficiency; Industrial ecology; Material flow; Business; Natural resource economics; Economics; Environmental resource management; Geography; Ecology","score_opus":0.016059724469624517,"score_gpt":0.24155148500821266,"score_spread":0.22549176053858816,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3209883919","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962793,0.000048826725,0.00030332772,0.0026107605,0.00043478407,0.0001481352,0.000064095875,0.000002511367,0.00010827191],"genre_scores_gemma":[0.99904597,0.000028169112,0.00043072732,0.00017622429,0.00025072644,0.0000015479173,0.000014097862,0.000008637585,0.000043883556],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99845606,0.0004480067,0.00049362757,0.00015894382,0.00020797813,0.00023538082],"domain_scores_gemma":[0.99919903,0.00020945963,0.0002842449,0.00015203272,0.000020368123,0.00013483335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008965341,0.000111797985,0.00033814064,0.000036719655,0.0001658145,0.00006017812,0.00016710033,0.00021692354,0.00046122327],"category_scores_gemma":[0.00028135508,0.00008659358,0.00009544482,0.00013322939,0.00021707044,0.00016110469,0.00013929824,0.00034583002,0.000003297749],"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":[0.0024584916,0.0013126987,0.6678005,0.0000295066,0.00051821425,0.00059721444,0.006051926,0.007820449,0.12764874,0.00009435775,0.0063303406,0.17933758],"study_design_scores_gemma":[0.003671991,0.00082555367,0.9750189,0.000037706403,0.00023266133,0.00029597903,0.005168691,0.0014840369,0.004213518,0.0032332914,0.0055005564,0.000317102],"about_ca_topic_score_codex":0.0005936493,"about_ca_topic_score_gemma":0.0021115127,"teacher_disagreement_score":0.30721843,"about_ca_system_score_codex":0.0004197118,"about_ca_system_score_gemma":0.0000890148,"threshold_uncertainty_score":0.50500715},"labels":[],"label_agreement":null},{"id":"W3211018063","doi":"10.32920/ryerson.14655057.v1","title":"Life Cycle Assessment Overview and Application: Comparison of Structural Frame Alternatives for Office Buildings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Life-cycle assessment; Embodied energy; Context (archaeology); Architectural engineering; Work (physics); Environmental impact assessment; Frame (networking); Steel frame; Engineering; Civil engineering; Computer science; Construction engineering; Environmental resource management; Environmental science; Production (economics); Mechanical engineering; Geography; Economics; Structural engineering","score_opus":0.022134665374515774,"score_gpt":0.361718106505057,"score_spread":0.33958344113054123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3211018063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709496,0.00068752916,0.025385253,0.00039182216,0.00007309088,0.0009694093,0.000037325208,0.000021994687,0.0014839727],"genre_scores_gemma":[0.96863025,0.000095695774,0.030754363,0.00020615917,0.00002665222,0.00009995922,0.0000664264,0.000015154366,0.000105313506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842364,0.00005870573,0.0004190476,0.00056284934,0.00032312877,0.00021266207],"domain_scores_gemma":[0.99896157,0.000106012456,0.00028940715,0.00043743345,0.000013582271,0.00019200152],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022928351,0.00023805969,0.0004639366,0.00001750597,0.00009254962,0.00006516776,0.00028541105,0.00014975683,0.001060948],"category_scores_gemma":[0.00007307248,0.0002146231,0.00012020814,0.00005974932,0.00031486503,0.00015544418,0.0014056194,0.0002543424,0.00000217189],"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":[0.000050728748,0.00041537583,0.9275824,0.0012021249,0.0001337262,7.186886e-7,0.002276091,0.030596195,0.004307312,0.0018189655,0.0003433252,0.031273052],"study_design_scores_gemma":[0.0003569302,0.00009823969,0.92242473,0.000041524596,0.000063488755,0.0000012064394,0.0021695714,0.066924155,0.002142786,0.0040983707,0.0013090869,0.0003698953],"about_ca_topic_score_codex":0.00110473,"about_ca_topic_score_gemma":0.00008060589,"teacher_disagreement_score":0.03632796,"about_ca_system_score_codex":0.00030813162,"about_ca_system_score_gemma":0.00003985852,"threshold_uncertainty_score":0.99985224},"labels":[],"label_agreement":null},{"id":"W3212099958","doi":"10.3389/frsus.2021.738890","title":"Assessing the Mitigation Potential of Environmental Impacts From Circular Economy Strategies on an Industrial Sector and Its Value Chain: A Case Study on the Steel Value Chain in Quebec","year":2021,"lang":"en","type":"article","venue":"Frontiers in Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies","keywords":"Circular economy; Material flow analysis; Greenhouse gas; Supply chain; Context (archaeology); Material flow; Life-cycle assessment; Product (mathematics); Production (economics); Industrial ecology; Scenario analysis; Value chain; Business; Environmental economics; Environmental science; Engineering; Economics; Sustainability; Waste management; Mathematics","score_opus":0.014766054941423367,"score_gpt":0.2597279501281491,"score_spread":0.24496189518672573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212099958","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99650747,0.00010098719,0.00009833321,0.00073139084,0.00017014644,0.002175128,0.00003754555,0.000013566586,0.00016543506],"genre_scores_gemma":[0.9995915,0.000004744825,0.000043662767,0.00013622102,0.000059454516,0.000088846544,0.000018320601,0.000024060315,0.000033189608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99503845,0.0024804187,0.00062277314,0.0008419715,0.0004620718,0.0005543378],"domain_scores_gemma":[0.9985011,0.00028464902,0.00021672103,0.0008202257,0.000012674175,0.00016460716],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0021995509,0.00036801133,0.000435364,0.00008182491,0.00032051562,0.00024234618,0.0003103579,0.00021070751,0.00016409515],"category_scores_gemma":[0.0004095793,0.00027588496,0.000106791515,0.00031838636,0.0007230939,0.0011412594,0.00030493792,0.0006589695,0.0000012539639],"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":[0.00017882908,0.0023324818,0.9590036,0.000042317097,0.000047289148,0.0009712644,0.018123677,0.015046587,0.0012458898,0.0001435094,0.000023859067,0.0028406915],"study_design_scores_gemma":[0.0010269395,0.0002681036,0.61965054,0.000011886316,0.000025881198,0.000014832876,0.3694099,0.004264455,0.0008054358,0.004302619,0.000016059917,0.00020336949],"about_ca_topic_score_codex":0.021756507,"about_ca_topic_score_gemma":0.0025914006,"teacher_disagreement_score":0.3512862,"about_ca_system_score_codex":0.003810778,"about_ca_system_score_gemma":0.00025784844,"threshold_uncertainty_score":0.9999693},"labels":[],"label_agreement":null},{"id":"W3212666588","doi":"10.1088/1748-9326/ac386f","title":"Substitution impacts of wood use at the market level: a systematic review","year":2021,"lang":"en","type":"review","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":86,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Directorate-General for Energy; Academy of Finland; Government of Canada","keywords":"Context (archaeology); Product (mathematics); Substitution (logic); Environmental science; Forest product; Range (aeronautics); Market share; Climate change; Econometrics; Computer science; Mathematics; Forest management; Economics; Engineering; Ecology; Agroforestry; Geography","score_opus":0.09740710194970462,"score_gpt":0.37209537857398006,"score_spread":0.2746882766242754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212666588","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0030324666,0.9904321,0.00000771626,0.0002915506,0.000072575065,0.00552397,0.00035738986,0.000016768501,0.0002654775],"genre_scores_gemma":[0.0005362153,0.9932783,0.000054580654,0.0005424296,0.000031249252,0.00052892097,0.000322332,0.00009207622,0.004613875],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.98941857,0.0042302944,0.001416602,0.0010018006,0.002737924,0.0011948181],"domain_scores_gemma":[0.9952381,0.0014966746,0.0006196727,0.0022418946,0.0000055329906,0.00039807198],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.004727611,0.0007267668,0.0024023773,0.00012399674,0.0005100938,0.000102832535,0.0012339968,0.0002652865,0.011050572],"category_scores_gemma":[0.001331782,0.00046825237,0.001080332,0.0007338354,0.0027123424,0.00047751662,0.002663893,0.001168593,0.0014547989],"study_design_candidate":"systematic_review","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028431727,0.0008177615,0.0015146618,0.88445383,0.0006235356,0.00038672565,0.00027080675,0.000012199982,0.0005013946,0.000010443732,0.08728362,0.024096556],"study_design_scores_gemma":[0.00033529758,0.00015876949,0.002610867,0.31462947,0.0020897465,0.00028058034,0.0001869874,0.000004361528,0.00013062498,0.000008932177,0.67841166,0.0011527077],"about_ca_topic_score_codex":0.00028412044,"about_ca_topic_score_gemma":0.000064382075,"teacher_disagreement_score":0.59112805,"about_ca_system_score_codex":0.00679122,"about_ca_system_score_gemma":0.000069515976,"threshold_uncertainty_score":0.9997769},"labels":[],"label_agreement":null},{"id":"W3212882579","doi":"10.1016/j.jclepro.2021.129671","title":"Regional environmental life cycle consequences of material substitutions: The case of increasing wood structures for non-residential buildings","year":2021,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Life-cycle assessment; Scale (ratio); Resource (disambiguation); Originality; Environmental resource management; Circular economy; Environmental economics; Environmental science; Engineering; Business; Computer science; Production (economics); Ecology; Geography; Economics","score_opus":0.01204000608261459,"score_gpt":0.255878705332869,"score_spread":0.2438386992502544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212882579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823505,0.00009103775,0.00020209992,0.0008867386,0.0003377532,0.00019533823,0.000017446362,0.0000022975448,0.00003225751],"genre_scores_gemma":[0.9978235,0.00005753974,0.0017289374,0.00003574505,0.00030030287,0.0000026769346,0.000004818639,0.000008092992,0.000038390055],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987205,0.00014538766,0.0005295659,0.00016730721,0.00029044197,0.0001467458],"domain_scores_gemma":[0.99910057,0.00006576775,0.0005537989,0.00018289303,0.000025926309,0.000071027214],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007511989,0.000107173044,0.00020651853,0.000036240726,0.00018020946,0.000022380173,0.0001328998,0.000054811964,0.00043720135],"category_scores_gemma":[0.00035810308,0.00007801322,0.00013765285,0.000082895785,0.0009478941,0.00042854462,0.000074392585,0.00011637775,8.348849e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007444272,0.00026251446,0.018962009,0.000063229,0.00007596101,0.000084910855,0.0009539674,0.012267464,0.9625871,0.0001261033,0.0006799587,0.0031923368],"study_design_scores_gemma":[0.0007878323,0.00029491723,0.14764646,0.000034369554,0.00018196831,0.0080985855,0.007575146,0.00008632956,0.8281233,0.0061836885,0.00081624056,0.00017116715],"about_ca_topic_score_codex":0.00034470417,"about_ca_topic_score_gemma":0.000037319427,"teacher_disagreement_score":0.13446382,"about_ca_system_score_codex":0.0001704653,"about_ca_system_score_gemma":0.000058688685,"threshold_uncertainty_score":0.4787048},"labels":[],"label_agreement":null},{"id":"W3215754024","doi":"10.1016/j.erss.2021.102422","title":"Technical pathways to deep decarbonization in cities: Eight best practice case studies of transformational climate mitigation","year":2021,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":66,"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; University of Waterloo","funders":"University of Waterloo; Social Sciences and Humanities Research Council of Canada; Mitacs","keywords":"Greenhouse gas; Scope (computer science); Business; Context (archaeology); Natural resource economics; Transformational leadership; Local government; Government (linguistics); Environmental planning; Electricity; Population; Environmental resource management; Geography; Environmental science; Political science; Economics; Engineering","score_opus":0.039731505605464866,"score_gpt":0.38549771161659846,"score_spread":0.3457662060111336,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3215754024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9796346,0.00010058619,0.0007050007,0.0011686779,0.000039694136,0.00017586716,0.000009852744,0.000010834826,0.018154928],"genre_scores_gemma":[0.9982918,0.00016879605,0.0012854135,0.00011491053,0.000027311191,0.000050883507,0.0000055176856,0.000005890809,0.00004946291],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.9970549,0.0003674763,0.0003158484,0.0003456904,0.0013662481,0.0005498778],"domain_scores_gemma":[0.99920076,0.00026138022,0.000053653883,0.0001594757,0.00016273183,0.00016200845],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003282481,0.00009122326,0.0001444354,0.000114345676,0.0007250217,0.000057352656,0.00024166479,0.00006387643,0.00013782452],"category_scores_gemma":[0.0020575067,0.00008830812,0.000036312773,0.0024193015,0.0019553665,0.0010731096,0.0004200188,0.00018179967,0.0000140044585],"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":[0.0003474369,0.003651519,0.06520137,0.00023449598,0.000031960975,0.0026042594,0.14358209,0.010244176,0.5104509,0.13772826,0.00032302522,0.12560049],"study_design_scores_gemma":[0.002430616,0.0017733506,0.1734447,0.00025765132,0.000055641198,0.0012039087,0.44998813,0.0087722195,0.31429356,0.036779374,0.009346893,0.0016539763],"about_ca_topic_score_codex":0.0004659038,"about_ca_topic_score_gemma":0.001343574,"teacher_disagreement_score":0.30640602,"about_ca_system_score_codex":0.0014847281,"about_ca_system_score_gemma":0.00016747856,"threshold_uncertainty_score":0.7204629},"labels":[],"label_agreement":null},{"id":"W3216525048","doi":"","title":"Comparisons between CMIP5 and CMIP6 climate projections: Implications for assessing agriculture productivity, infrastructure resilience, and environmental health in Canada","year":2020,"lang":"en","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Resilience (materials science); Climate resilience; Productivity; Agriculture; Environmental science; Natural resource economics; Climate change; Agricultural productivity; Climate extremes; Environmental resource management; Agricultural economics; Economics; Geography; Meteorology; Economic growth; Precipitation; Oceanography","score_opus":0.010340421588100085,"score_gpt":0.24523074926963373,"score_spread":0.23489032768153364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216525048","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96027887,0.00034915964,0.020754306,0.016218092,0.000014293312,0.0018300695,0.00038559636,0.00006696943,0.000102620885],"genre_scores_gemma":[0.9782933,0.00017380905,0.019763365,0.0013293057,0.000038959617,0.0002684938,0.000093456394,0.000021783126,0.00001755361],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99814624,0.00011366692,0.0003646203,0.0005958049,0.00017048261,0.0006091633],"domain_scores_gemma":[0.9990741,0.000069456706,0.00017369029,0.0002686307,0.000003773799,0.0004103427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030334364,0.00025529083,0.00034350093,0.000050468592,0.00046893032,0.00009685278,0.000187481,0.00010093589,0.000011165141],"category_scores_gemma":[0.0000783158,0.00023647175,0.00003674967,0.00031835536,0.00021905788,0.00048671683,0.0003569466,0.00033675728,4.5020022e-7],"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":[0.000013932817,0.000058011366,0.9832013,0.000044151373,0.0000062083354,7.991329e-7,0.00035128367,0.0019682911,0.0025811414,0.000087184504,0.00202049,0.009667159],"study_design_scores_gemma":[0.00027126775,0.00008076553,0.98909223,0.000009857655,0.000012751134,0.000022478855,0.0015255685,0.006185715,0.0002967979,0.00032733887,0.0019346906,0.00024051727],"about_ca_topic_score_codex":0.3936031,"about_ca_topic_score_gemma":0.44641846,"teacher_disagreement_score":0.05281539,"about_ca_system_score_codex":0.0022538868,"about_ca_system_score_gemma":0.00019935334,"threshold_uncertainty_score":0.96430385},"labels":[],"label_agreement":null},{"id":"W3216559132","doi":"10.1016/j.fbp.2021.11.001","title":"Life cycle assessment of nine representative agroindustrial systems of sugar production in Mexico","year":2021,"lang":"en","type":"article","venue":"Food and Bioproducts Processing","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Sugar; Life-cycle assessment; Sugar production; Production (economics); Environmental impact assessment; Agricultural science; Agricultural engineering; Environmental science; Business; Biotechnology; Pulp and paper industry; Engineering; Biology; Food science; Economics; Ecology","score_opus":0.019671628242632633,"score_gpt":0.28252020074245987,"score_spread":0.26284857249982724,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3216559132","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976721,0.00057228527,0.000022331906,0.00048056513,0.000113735965,0.00027018067,0.000006343891,0.000008591108,0.0008538803],"genre_scores_gemma":[0.99901605,0.000030575407,0.00059858867,0.000014237491,0.00006616619,0.0000071789786,0.000008318325,0.000007724691,0.00025114234],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99866146,0.00009533786,0.00036152292,0.00041998352,0.00028092423,0.00018077329],"domain_scores_gemma":[0.99945384,0.000012843826,0.0001962428,0.00021078094,0.000027199207,0.00009909327],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047241047,0.00011285232,0.00024538103,0.000036784317,0.0000578589,0.000019943878,0.00006774631,0.000059035283,0.00008608228],"category_scores_gemma":[0.00053884083,0.00009779927,0.000023729826,0.00044520714,0.00027381154,0.00031296918,0.00014592726,0.00011709625,5.745767e-7],"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":[0.00010861271,0.0008013915,0.7293261,0.0005565255,0.000027825972,0.000008301743,0.002157944,0.0049848873,0.25324997,0.000041105264,0.00019023819,0.008547038],"study_design_scores_gemma":[0.0008051644,0.00039608526,0.6111971,0.0001577193,0.000030113139,0.000022486769,0.007686463,0.0010521482,0.37810746,0.00019871557,0.00011442863,0.0002321111],"about_ca_topic_score_codex":0.00019311685,"about_ca_topic_score_gemma":0.000033575063,"teacher_disagreement_score":0.12485747,"about_ca_system_score_codex":0.000106398686,"about_ca_system_score_gemma":0.00010356189,"threshold_uncertainty_score":0.39881384},"labels":[],"label_agreement":null},{"id":"W355325858","doi":"10.1016/j.jclepro.2015.05.068","title":"Reducing the environmental footprint of interior wood doors in non-residential buildings – part 2: ecodesign","year":2015,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"FPInnovations","keywords":"Ecodesign; Remanufacturing; Life-cycle assessment; Environmental impact assessment; Ecological footprint; Carbon footprint; Container (type theory); Doors; Sustainability; Engineering; Product (mathematics); Production (economics); Manufacturing engineering; Greenhouse gas","score_opus":0.014292571705033659,"score_gpt":0.24228496846986802,"score_spread":0.22799239676483438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W355325858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9978884,0.000044078122,0.00014024407,0.00089985185,0.00052753434,0.00022721066,6.9465625e-7,0.0000033285455,0.0002686601],"genre_scores_gemma":[0.99882287,0.00004177813,0.0005192249,0.000022645436,0.0002503278,0.0000031129343,5.213091e-7,0.000012905309,0.0003266188],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9983074,0.00015329912,0.00061798916,0.00020214362,0.0005037301,0.00021541896],"domain_scores_gemma":[0.99914324,0.000020301046,0.00046126955,0.0002537665,0.000008833961,0.000112571484],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019788619,0.0001308092,0.00021212045,0.00006993466,0.000054357817,0.000022029019,0.00025931402,0.000053794618,0.00020396805],"category_scores_gemma":[0.00019043358,0.000092808295,0.00010228869,0.00011893563,0.00031822722,0.00043999634,0.00016155269,0.00028773907,0.00001411047],"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":[0.0010637705,0.0006945064,0.31088722,0.000038580554,0.00006261734,0.000040684474,0.014911142,0.074013606,0.52525574,0.000006022473,0.0050850827,0.06794102],"study_design_scores_gemma":[0.0013775468,0.0010445638,0.53029555,0.000100569436,0.00007708523,0.0004040845,0.013034011,0.00025025432,0.44482625,0.0009792111,0.0072854306,0.00032541162],"about_ca_topic_score_codex":0.00019506256,"about_ca_topic_score_gemma":0.000030833304,"teacher_disagreement_score":0.21940835,"about_ca_system_score_codex":0.00072108867,"about_ca_system_score_gemma":0.000020501811,"threshold_uncertainty_score":0.37846124},"labels":[],"label_agreement":null},{"id":"W38152322","doi":"10.3138/canlivj-2023-0005","title":"Utilización energética de la biomasa","year":2002,"lang":"en","type":"article","venue":"El Ecologista","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Environmental science","score_opus":0.008898979051190093,"score_gpt":0.2506956135561794,"score_spread":0.24179663450498934,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W38152322","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.813689,0.00004529173,0.00011354999,0.00039332404,0.000037858907,0.00009537374,0.0000035853998,0.00006069425,0.18556131],"genre_scores_gemma":[0.9928283,0.000042468055,0.0006032267,0.0004563215,0.000018090977,0.000015900656,0.0000017770942,0.000010065533,0.006023821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99895376,0.00014042924,0.00012954144,0.00024114714,0.00013905996,0.0003960881],"domain_scores_gemma":[0.9994243,0.00010884602,0.00003384068,0.00028601152,0.0000012183531,0.00014581744],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00033465546,0.00011848926,0.000102127924,0.00001554821,0.00013720267,0.000031507116,0.0002253407,0.00011328129,0.027774526],"category_scores_gemma":[0.00017219623,0.00010495077,0.000056078607,0.00012047025,0.0007576814,0.0001236298,0.00021005538,0.000110089975,0.0011380805],"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":[0.000008791863,0.0005042355,0.9636534,0.000006782132,0.000007923299,0.0000821228,0.0004638648,0.0003277066,0.0041552316,0.00068152416,0.021490008,0.008618451],"study_design_scores_gemma":[0.0002607295,0.00011438893,0.88234967,0.0000011359161,0.000009091968,0.000020052345,0.00020723391,0.0022008582,0.0015893503,0.0031190591,0.10993117,0.0001972326],"about_ca_topic_score_codex":0.00017503102,"about_ca_topic_score_gemma":0.000054267362,"teacher_disagreement_score":0.1795375,"about_ca_system_score_codex":0.0005531656,"about_ca_system_score_gemma":0.0000040456002,"threshold_uncertainty_score":0.99963963},"labels":[],"label_agreement":null},{"id":"W4200041960","doi":"10.1080/14693062.2021.2009433","title":"Climate and trade policies: from silos to integration","year":2021,"lang":"en","type":"article","venue":"Climate Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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 Laval","funders":"","keywords":"International trade; Commit; Linkage (software); Commercial policy; Economics; Climate change; Climate policy; Trade barrier; International economics; Business; Public economics; Ecology","score_opus":0.0109586375622319,"score_gpt":0.2817999674115582,"score_spread":0.2708413298493263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200041960","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9767575,0.000036706966,0.000054092765,0.006762266,0.00003846613,0.00016845249,0.0001353051,0.000044658806,0.016002499],"genre_scores_gemma":[0.99396795,0.00025835022,0.0007973656,0.004663774,0.00009193034,0.000015532238,0.000042002317,0.000017306218,0.00014579418],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99874336,0.00006538351,0.00020204918,0.0003378398,0.000163708,0.00048768078],"domain_scores_gemma":[0.999332,0.00004386637,0.000037653062,0.00031346118,0.0000022809722,0.00027072025],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00012527253,0.000159294,0.00016284859,0.000033978922,0.00016771337,0.00007624756,0.00010942713,0.00006632624,0.0010808749],"category_scores_gemma":[0.00012716296,0.00014761073,0.000048761027,0.00025161039,0.00015658728,0.00022873581,0.0004289714,0.000096376454,0.00041066934],"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":[0.00010048841,0.0005157905,0.59744155,0.00004962859,0.00002264224,0.000057382535,0.017927496,0.00019305744,0.2627482,0.004612743,0.003081414,0.11324963],"study_design_scores_gemma":[0.0002696363,0.00007268813,0.95526075,0.000016744065,0.000014564116,0.000010750702,0.002477498,0.00021663084,0.03238501,0.0022296172,0.006800367,0.00024575033],"about_ca_topic_score_codex":0.0021128468,"about_ca_topic_score_gemma":0.00032746297,"teacher_disagreement_score":0.35781923,"about_ca_system_score_codex":0.00036688618,"about_ca_system_score_gemma":0.000011826454,"threshold_uncertainty_score":0.9998323},"labels":[],"label_agreement":null},{"id":"W4200501480","doi":"10.1109/istas52410.2021.9629146","title":"Prospective life cycle assessment as a tool for environmentally responsible innovation","year":2021,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Framing (construction); Stakeholder; Maturity (psychological); Life-cycle assessment; Responsible Research and Innovation; Anticipation (artificial intelligence); Capability Maturity Model; Stakeholder engagement; Emerging technologies; Business; Knowledge management; Risk analysis (engineering); Environmental resource management; Process management; Computer science; Engineering; Psychology; Public relations; Engineering ethics; Political science; Economics","score_opus":0.008586678564527437,"score_gpt":0.2856680931595379,"score_spread":0.27708141459501046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4200501480","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9363987,0.0000099054905,0.0048723477,0.0012927018,0.000060664657,0.0008576894,0.000013806039,0.000050889408,0.05644334],"genre_scores_gemma":[0.96348125,0.000008314965,0.018729482,0.0018793062,0.000029018405,0.0002134547,0.000046086145,0.000022286498,0.015590814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983271,0.00007804932,0.00033026774,0.00051209284,0.00038493768,0.00036756505],"domain_scores_gemma":[0.9993212,0.00008742254,0.00007948051,0.00039388437,0.000011529501,0.000106431515],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004905646,0.00018093639,0.00017042535,0.00003306681,0.0002295851,0.000063791056,0.00013313994,0.00008302198,0.014204675],"category_scores_gemma":[0.0003012375,0.00017288473,0.00007948555,0.0003986727,0.00017737705,0.00045373384,0.00029977388,0.00011939236,0.00035764137],"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":[0.00031889067,0.0015745504,0.79355353,0.00003536628,0.000069719135,0.00003350569,0.00076756603,0.0028420642,0.15788196,0.028754547,0.003403777,0.0107645355],"study_design_scores_gemma":[0.0011325652,0.00031510316,0.92200965,0.0000041051917,0.000020542324,0.000012851614,0.0014073346,0.0010902528,0.03595551,0.02742773,0.010275984,0.00034836415],"about_ca_topic_score_codex":0.00006910927,"about_ca_topic_score_gemma":0.000032624193,"teacher_disagreement_score":0.12845615,"about_ca_system_score_codex":0.0011254855,"about_ca_system_score_gemma":0.00013408174,"threshold_uncertainty_score":0.9866965},"labels":[],"label_agreement":null},{"id":"W4205895932","doi":"10.1111/jiec.13229","title":"Bottom‐up estimation of material stocks and flows in Toronto's road network","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Material flow analysis; Stock (firearms); Estimation; Environmental science; Computer science; Civil engineering; Transport engineering; Environmental resource management; Geography; Engineering","score_opus":0.011248659104083191,"score_gpt":0.25003060360584944,"score_spread":0.23878194450176626,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205895932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981116,0.000025985417,0.00001092859,0.00020051123,0.0009841993,0.00018435968,0.0000061066103,0.0000019337551,0.0004743831],"genre_scores_gemma":[0.9994153,0.0000101499245,0.00030643574,0.000053246542,0.00014448882,0.0000058321284,0.0000021490537,0.0000054360066,0.00005697643],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986838,0.00029532623,0.0005069524,0.000101014935,0.0002067681,0.00020615732],"domain_scores_gemma":[0.99943054,0.000059484402,0.0003498843,0.0000839581,0.0000038066992,0.00007232744],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011673858,0.00008197269,0.00026411444,0.000026927726,0.000082048864,0.000007917017,0.00014400585,0.000105242674,0.008653773],"category_scores_gemma":[0.00012677668,0.00007670058,0.00004397331,0.00008690394,0.000105412255,0.00024099651,0.00024247859,0.0003131028,0.0000013072902],"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":[0.0021413264,0.00047390768,0.6748339,0.0000072392963,0.00003791321,0.000072536255,0.0011927874,0.22352964,0.0030131568,0.000052443094,0.0046155388,0.09002964],"study_design_scores_gemma":[0.0049266205,0.003798991,0.9782418,0.000011842937,0.000049607508,0.00023311406,0.0030431035,0.005488396,0.00061630155,0.0016719359,0.0016733597,0.00024494051],"about_ca_topic_score_codex":0.0014915251,"about_ca_topic_score_gemma":0.0008608936,"teacher_disagreement_score":0.3034079,"about_ca_system_score_codex":0.0014139274,"about_ca_system_score_gemma":0.000046887857,"threshold_uncertainty_score":0.99225247},"labels":[],"label_agreement":null},{"id":"W4205927185","doi":"10.1016/j.ecolecon.2021.107337","title":"A new accounting framework for assessing forest footprint of nations","year":2022,"lang":"en","type":"article","venue":"Ecological Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"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":"HORIZON EUROPE Framework Programme; Horizon 2020 Framework Programme; Agencia Estatal de Investigación; Eusko Jaurlaritza; Ministerio de Ciencia, Innovación y Universidades","keywords":"Context (archaeology); Consumption (sociology); Production (economics); Natural resource economics; Supply chain; Ecological footprint; Agriculture; Business; Resource (disambiguation); Environmental resource management; Economics; Sustainability; Agricultural economics; Geography; Computer science; Ecology","score_opus":0.017668737998521422,"score_gpt":0.26658558434678326,"score_spread":0.24891684634826183,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4205927185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98309696,0.000004644768,0.011345707,0.00042837343,0.000111236084,0.0003117553,0.00000946366,0.000015552774,0.0046763048],"genre_scores_gemma":[0.95902437,0.0000030022657,0.040480897,0.00020260656,0.000027863138,0.00006492879,0.0000057037255,0.000007456282,0.00018315595],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99926573,0.000027195869,0.00023191661,0.00020711598,0.00005537415,0.00021266183],"domain_scores_gemma":[0.9992893,0.00035827627,0.00013430411,0.00014673187,0.0000019151591,0.00006949112],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003645269,0.000077002216,0.00013804942,0.000021229753,0.00031958317,0.000027339145,0.00021405848,0.00005145467,0.003936978],"category_scores_gemma":[0.00029537707,0.000077770375,0.00009089595,0.00008210737,0.00008237279,0.000118678094,0.00049758924,0.00013677684,0.00001038389],"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":[0.000022175567,0.00026272584,0.82613796,0.000008193386,0.000010278735,7.2366066e-7,0.00021171657,0.120428935,0.000106521155,0.037726566,0.00015495146,0.014929256],"study_design_scores_gemma":[0.00020793112,0.00014604736,0.81746364,9.2348233e-7,0.000007801624,0.0000019698605,0.0007906981,0.004038691,0.00009692744,0.1676625,0.009458946,0.00012392068],"about_ca_topic_score_codex":0.000059531492,"about_ca_topic_score_gemma":0.000106311396,"teacher_disagreement_score":0.12993594,"about_ca_system_score_codex":0.0007387657,"about_ca_system_score_gemma":0.00002647248,"threshold_uncertainty_score":0.9969736},"labels":[],"label_agreement":null},{"id":"W4206224338","doi":"10.1017/s1481803500007405","title":"CAEP Annual Scientific Assembly Calgary, Alberta March 21–24, 2001 Abstract Submission Information","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"China Academy of Engineering Physics","keywords":"Medicine; Action (physics); Library science; Computer science","score_opus":0.02652124350970522,"score_gpt":0.2866579986133453,"score_spread":0.2601367551036401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206224338","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93794465,0.00018372922,0.000025585192,0.002181287,0.0022386117,0.00017911194,0.000014258305,0.0000038383105,0.057228923],"genre_scores_gemma":[0.9788043,0.0001390507,0.000053528634,0.00014609004,0.00020486183,0.0000018602706,0.000028853185,0.0000115035,0.020609988],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99781936,0.000056696335,0.00078638317,0.00016197762,0.00058124686,0.00059433153],"domain_scores_gemma":[0.9979166,0.000029653631,0.00021285554,0.00027069193,0.000047583333,0.0015226634],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010984349,0.00018036498,0.00022319863,0.0001768105,0.0003552109,0.000019936066,0.00038992925,0.00007921331,0.19297072],"category_scores_gemma":[0.00038047676,0.00014168439,0.000092355345,0.00044257933,0.00039262103,0.0012896194,0.000019875553,0.00030880666,0.00043294762],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007981716,0.00008411064,0.19254479,0.000039802188,0.000027450136,0.000097740514,0.0064605316,0.0009562022,0.0017587083,0.000014499146,0.72226506,0.07567126],"study_design_scores_gemma":[0.00036873476,0.00026201725,0.38214123,0.000034558456,0.0000243155,0.00003225581,0.0008779167,0.00016332683,0.00009395824,0.00017092428,0.6156693,0.0001614554],"about_ca_topic_score_codex":0.08684525,"about_ca_topic_score_gemma":0.06961704,"teacher_disagreement_score":0.19253778,"about_ca_system_score_codex":0.00070148136,"about_ca_system_score_gemma":0.0002606252,"threshold_uncertainty_score":0.94736004},"labels":[],"label_agreement":null},{"id":"W4206617741","doi":"10.1155/2022/5834707","title":"Automobile Industry under China’s Carbon Peaking and Carbon Neutrality Goals: Challenges, Opportunities, and Coping Strategies","year":2022,"lang":"en","type":"article","venue":"Journal of Advanced Transportation","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":63,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Greenhouse gas; Automotive industry; Business; Upstream (networking); Coping (psychology); Carbon fibers; Carbon neutrality; Downstream (manufacturing); Environmental economics; Industrial organization; Engineering; Marketing; Economics; Computer science; Political science; Ecology; Telecommunications","score_opus":0.025205336501939124,"score_gpt":0.2645378051994317,"score_spread":0.23933246869749258,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206617741","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99712956,0.0012115717,0.000017697006,0.0006702638,0.0000961431,0.00014617364,0.0000072435446,0.000012278004,0.0007090956],"genre_scores_gemma":[0.99873555,0.0009648978,0.00016395448,0.000052774965,0.000021529107,0.000007916539,0.0000062230115,0.000012208092,0.00003494888],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99886644,0.000097378535,0.00035470657,0.0001737165,0.00032266363,0.00018508732],"domain_scores_gemma":[0.99947166,0.00002630993,0.00027946313,0.00009405047,0.0000069622292,0.000121524645],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041861372,0.00013388135,0.00019558368,0.000043419324,0.00015157819,0.000021155962,0.0000804574,0.00006396467,0.000087885775],"category_scores_gemma":[0.000005137902,0.000132898,0.000035903995,0.00006995083,0.00014864153,0.000545085,0.000021451217,0.00046988556,2.7808797e-8],"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":[0.0005988164,0.0005062021,0.2703557,0.000369314,0.00011228873,0.00040983188,0.05175419,0.6049653,0.020075347,0.0022657756,0.000013404941,0.048573796],"study_design_scores_gemma":[0.00055220287,0.00031768397,0.952911,0.000017540162,0.000035207548,0.00004380554,0.043081544,0.00012913521,0.00011432191,0.0019947574,0.0006566364,0.00014616891],"about_ca_topic_score_codex":0.00034154687,"about_ca_topic_score_gemma":0.00016851646,"teacher_disagreement_score":0.6825553,"about_ca_system_score_codex":0.00026681498,"about_ca_system_score_gemma":0.000039133225,"threshold_uncertainty_score":0.54194236},"labels":[],"label_agreement":null},{"id":"W4206895747","doi":"","title":"Relevance of modelling for assessing spatial and temporal effects of GMOs - upscaling","year":2007,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Relevance (law); Computer science; Data science","score_opus":0.012721636094413489,"score_gpt":0.24867006006484604,"score_spread":0.23594842397043256,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4206895747","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5622755,0.0002833511,0.43501565,0.00015318478,0.000049029877,0.00043915657,0.000012205356,0.0000187087,0.0017531923],"genre_scores_gemma":[0.8954095,0.00015718283,0.10393466,0.00001387046,0.000007895224,0.000022360417,0.0000553338,0.000024828016,0.00037435652],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99757695,0.00074742385,0.00053600146,0.0005116416,0.00034704708,0.00028096087],"domain_scores_gemma":[0.99664986,0.0016629543,0.0005758222,0.00084593677,0.00014350946,0.00012189057],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003825913,0.00023062657,0.00038303935,0.00006279896,0.00015576281,0.00006341417,0.00042172227,0.0002200348,0.00004233076],"category_scores_gemma":[0.00096816354,0.00024321492,0.0001464322,0.00012727991,0.00055012136,0.00017121503,0.0009966326,0.0002961379,0.0000011526778],"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":[0.00019166255,0.0027763818,0.5309111,0.00739276,0.00017992491,0.000010126827,0.029782023,0.03253608,0.07828862,0.00658327,0.00013686383,0.3112112],"study_design_scores_gemma":[0.0011776938,0.0000032318342,0.0526505,0.0026462367,0.00012353857,0.0000038291555,0.00034382936,0.38388124,0.54120004,0.016452983,0.000833715,0.00068314426],"about_ca_topic_score_codex":0.0036082738,"about_ca_topic_score_gemma":0.00038290347,"teacher_disagreement_score":0.47826058,"about_ca_system_score_codex":0.00018318115,"about_ca_system_score_gemma":0.000046387864,"threshold_uncertainty_score":0.9918017},"labels":[],"label_agreement":null},{"id":"W4210306750","doi":"10.1007/s11356-022-18683-4","title":"Understanding the relationship between globalization and biophysical resource consumption within safe operating limits for major Belt and Road Initiative countries","year":2022,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"National Natural Science Foundation of China","keywords":"Globalization; Nexus (standard); Environmental resource management; Economics; Engineering","score_opus":0.1642352395137984,"score_gpt":0.3634953426582105,"score_spread":0.1992601031444121,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210306750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960377,0.00011001881,0.00042225767,0.0021877275,0.000020349018,0.00076172076,0.0000902648,0.000009856958,0.00036008345],"genre_scores_gemma":[0.9992974,0.00003841967,0.00010486015,0.00025657564,0.00002372058,0.00007246431,0.00002313397,0.000007706564,0.00017572501],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757534,0.0003812778,0.000194965,0.00044226614,0.0010100958,0.00039603314],"domain_scores_gemma":[0.99923176,0.00038749116,0.00006788639,0.00014611686,0.000004072508,0.00016265959],"candidate_categories":["sts"],"consensus_categories":["sts"],"category_scores_codex":[0.00392304,0.00011815392,0.00010082153,0.00007467179,0.0057494254,0.00017721932,0.00017042155,0.000041305597,0.00014120714],"category_scores_gemma":[0.00030841556,0.00009717614,0.00001591002,0.00036139606,0.0046925806,0.00058952597,0.00067333144,0.00028014663,0.0000069539783],"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":[0.00005372463,0.000043824173,0.97963756,0.000014027512,0.000005056457,9.1847477e-7,0.0050752345,0.00034896153,0.008958461,0.004588394,0.00018171448,0.0010921471],"study_design_scores_gemma":[0.00038769937,0.0002690179,0.97905266,0.000006273356,0.000011351954,0.000009936556,0.013444753,0.0023871958,0.0005573295,0.0030145964,0.0007246834,0.00013448663],"about_ca_topic_score_codex":0.00011056558,"about_ca_topic_score_gemma":0.000017109192,"teacher_disagreement_score":0.008401131,"about_ca_system_score_codex":0.0015865533,"about_ca_system_score_gemma":0.00003216192,"threshold_uncertainty_score":0.99801606},"labels":[],"label_agreement":null},{"id":"W4210549581","doi":"10.3233/jid200021","title":"Sustainability: Design, Making, and Technologies","year":2022,"lang":"en","type":"article","venue":"Journal of Integrated Design and Process Science","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"Concordia University","funders":"","keywords":"Sustainability; Business; Environmental planning; Environmental science; Ecology","score_opus":0.013275129367510873,"score_gpt":0.27451274795319924,"score_spread":0.2612376185856884,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210549581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9143839,0.00068388623,0.08263477,0.0014096932,0.00006980922,0.00044829806,0.0000017943723,0.000041389714,0.0003264516],"genre_scores_gemma":[0.9913954,0.000056985074,0.008315593,0.00011887438,0.0000033412798,0.0000138360465,8.862956e-8,0.000005990719,0.000089895846],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99834216,0.00016103391,0.00029266634,0.00027307883,0.00060647813,0.00032461152],"domain_scores_gemma":[0.9993548,0.000101445454,0.00022558302,0.00014248496,0.000071361756,0.00010432266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034696052,0.00013914323,0.00018239334,0.00015980825,0.0006618432,0.00011031587,0.00050686684,0.000036566777,0.00023352042],"category_scores_gemma":[0.0008660647,0.000100583726,0.000025990135,0.0009480803,0.001982622,0.00076981424,0.00037378757,0.00040084549,8.7019293e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0020423152,0.0011211995,0.30727974,0.00019545839,0.000048212212,0.000517351,0.017968008,0.086068995,0.059530515,0.00085898244,0.0024765625,0.52189267],"study_design_scores_gemma":[0.0030160602,0.013176596,0.07551934,0.00012505989,0.00016611221,0.0062492914,0.31722584,0.08960716,0.097968124,0.3797739,0.0151625145,0.0020099813],"about_ca_topic_score_codex":0.000017841478,"about_ca_topic_score_gemma":6.2192834e-7,"teacher_disagreement_score":0.5198827,"about_ca_system_score_codex":0.0007640022,"about_ca_system_score_gemma":0.00027272824,"threshold_uncertainty_score":0.7305054},"labels":[],"label_agreement":null},{"id":"W4210910431","doi":"10.1088/1748-9326/ac52c7","title":"Improved sustainability assessment of the G20’s supply chains of materials, fuels, and food","year":2022,"lang":"en","type":"article","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"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":"Greenhouse gas; Sustainability; Natural resource economics; Supply chain; Business; China; Environmental science; Agricultural economics; Economics; Geography","score_opus":0.013159982550185701,"score_gpt":0.28785426272322795,"score_spread":0.27469428017304226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210910431","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956829,0.000057270703,0.000027011038,0.002451087,0.0000727901,0.0012700137,0.00024287688,0.0000082139,0.00018783957],"genre_scores_gemma":[0.99906474,0.000021825801,0.00013252109,0.00021355553,0.000013719511,0.00017273685,0.000017903902,0.000025981602,0.00033699963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957826,0.0011369917,0.00044471544,0.00051602215,0.0014581768,0.00066149293],"domain_scores_gemma":[0.99868053,0.0001967423,0.0001704793,0.0007944061,0.0000037693912,0.00015407625],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024243633,0.00020723853,0.0002747738,0.0000699495,0.00058775704,0.000020589487,0.00068717625,0.000048073274,0.003085767],"category_scores_gemma":[0.00011859303,0.00017058912,0.00011233493,0.0002774869,0.0026711693,0.0001997588,0.0036386212,0.00052140874,0.0000024988146],"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":[0.000045461766,0.0004631077,0.5923203,0.000058368478,0.000016775815,0.000002516297,0.0006523773,0.0002530507,0.4052626,0.000106242755,0.00020671707,0.00061247835],"study_design_scores_gemma":[0.0005449906,0.0006161385,0.9466529,0.0000034963118,0.000010464417,0.000006719811,0.0043608304,0.00011894352,0.046264995,0.00051968667,0.00074092357,0.00015995101],"about_ca_topic_score_codex":0.0005953652,"about_ca_topic_score_gemma":0.000027355545,"teacher_disagreement_score":0.3589976,"about_ca_system_score_codex":0.0026024354,"about_ca_system_score_gemma":0.000043560576,"threshold_uncertainty_score":0.99782556},"labels":[],"label_agreement":null},{"id":"W4210912204","doi":"10.1007/978-3-030-02006-4_323-1","title":"Life Cycle Assessment","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Environmental science; Computer science","score_opus":0.009692959836522968,"score_gpt":0.24291166992996113,"score_spread":0.23321871009343817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210912204","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0012112113,0.000030211335,0.00004034597,0.0005577407,0.000117628515,0.00033797012,0.000021953658,0.0000690087,0.9976139],"genre_scores_gemma":[0.033350214,0.00007574606,0.00054514594,0.0017910502,0.00003966561,0.00002373706,0.00004949045,0.000052006726,0.96407294],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983613,0.000021996273,0.0002510046,0.00045789438,0.0006264235,0.00028136285],"domain_scores_gemma":[0.99897796,0.000029114513,0.00009681801,0.0005358879,0.0000012673603,0.00035894974],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002237697,0.00028157927,0.0002429822,0.000024771634,0.00019758743,0.00002399433,0.00030648173,0.00012924102,0.66094375],"category_scores_gemma":[0.000016589625,0.00026256373,0.00016601074,0.000019458284,0.00023765104,0.00015669437,0.0010355755,0.00044410184,0.0020179083],"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":[0.000084025975,0.000893263,0.039803773,0.0001259195,0.000321453,0.00038338747,0.000653563,0.010618362,0.00019226492,0.5189919,0.3474697,0.08046241],"study_design_scores_gemma":[0.00013021773,0.000104777406,0.010007746,0.0000020430462,0.000025357513,0.0000039310485,0.00005519086,0.00014653242,0.0000028141212,0.017986443,0.97116125,0.0003737198],"about_ca_topic_score_codex":0.00024048891,"about_ca_topic_score_gemma":0.00003550973,"teacher_disagreement_score":0.6589259,"about_ca_system_score_codex":0.0015870493,"about_ca_system_score_gemma":0.000043279037,"threshold_uncertainty_score":0.99998266},"labels":[],"label_agreement":null},{"id":"W4211179525","doi":"10.1007/978-3-030-62666-2_1","title":"Introduction","year":2021,"lang":"en","type":"book-chapter","venue":"SpringerBriefs in environmental science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Ecological footprint; Sustainability; Footprint; Metric (unit); Scale (ratio); Quality (philosophy); Calculator; Computer science; Geography; Engineering; Ecology; Cartography; Epistemology; Operations management; Archaeology","score_opus":0.005645431304878639,"score_gpt":0.20458395140756028,"score_spread":0.19893852010268165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211179525","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.14316407,0.00035633388,0.000025597752,0.0005292952,0.0006403845,0.0006188939,0.0000219013,0.00006403106,0.8545795],"genre_scores_gemma":[0.38562113,0.0005225915,0.0009948685,0.0003178515,0.00036733184,0.000024108534,0.000041432075,0.00009136736,0.61201936],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954054,0.00002955469,0.0005643286,0.0016884821,0.0014472514,0.000865009],"domain_scores_gemma":[0.9982611,0.000025914764,0.0002096655,0.0011480629,0.0000026301682,0.0003526329],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0009147635,0.0005555734,0.0004411478,0.00015457145,0.00029952367,0.00009633379,0.0008226757,0.00028614918,0.05410199],"category_scores_gemma":[0.00006291639,0.0006008343,0.00016819681,0.00020296547,0.0041639563,0.0007418139,0.0018455688,0.00075152196,0.0026369912],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027046693,0.0026939576,0.2744922,0.00024458705,0.00012681565,0.0023007223,0.0033056776,0.009233897,0.29037553,0.078057334,0.016200779,0.32269803],"study_design_scores_gemma":[0.0004778926,0.00015008006,0.18161786,0.00006491108,0.00003709848,0.00009367468,0.0001882523,0.00013554849,0.0074528907,0.0061635035,0.802087,0.0015312732],"about_ca_topic_score_codex":0.00009262822,"about_ca_topic_score_gemma":0.00009052822,"teacher_disagreement_score":0.7858862,"about_ca_system_score_codex":0.005639083,"about_ca_system_score_gemma":0.0000573631,"threshold_uncertainty_score":0.9996443},"labels":[],"label_agreement":null},{"id":"W4213405311","doi":"","title":"Long distance gene flow and adaptation of forest trees to rapid climate change","year":2016,"lang":"en","type":"preprint","venue":"Bristol Research (University of Bristol)","topic":"Environmental Impact and Sustainability","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Adaptation (eye); Environmental science; Climate change; Climate change adaptation; Flow (mathematics); Forestry; Geography; Ecology; Mathematics; Biology; Neuroscience","score_opus":0.056462750206531936,"score_gpt":0.2830958138421921,"score_spread":0.2266330636356602,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4213405311","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9860548,0.0005131628,0.009477108,0.00076902023,0.00004969907,0.0011585492,0.00042152812,0.00002057848,0.0015355634],"genre_scores_gemma":[0.99471444,0.0011263291,0.0033822216,0.000011400209,0.000026627029,0.0000057814254,0.000037015972,0.000020985788,0.00067522726],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9972546,0.0003064348,0.0002547524,0.00068264385,0.00093192485,0.00056965544],"domain_scores_gemma":[0.9985257,0.00012109499,0.00023755603,0.00069118716,0.00006843897,0.00035606258],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012394735,0.00022232463,0.00044267904,0.00020278493,0.00030121184,0.000022314181,0.0006949027,0.00020449815,0.0004007462],"category_scores_gemma":[0.0001414295,0.0002479991,0.00013564051,0.00028246778,0.0015710511,0.00035480378,0.0029645632,0.0003509253,0.000057934765],"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":[0.0010465906,0.00046934525,0.69803935,0.00078295474,0.000057924775,0.00015452487,0.008204224,0.0010031959,0.0017033715,0.0001387092,0.0016991623,0.28670067],"study_design_scores_gemma":[0.00052991067,0.00030430846,0.9881726,0.00019736438,0.000027756087,0.0000039160404,0.0030391035,0.0036623839,0.00013709253,0.00083921617,0.002790688,0.00029565493],"about_ca_topic_score_codex":0.0074752187,"about_ca_topic_score_gemma":0.014354421,"teacher_disagreement_score":0.29013327,"about_ca_system_score_codex":0.0010068349,"about_ca_system_score_gemma":0.00004806463,"threshold_uncertainty_score":0.9999972},"labels":[],"label_agreement":null},{"id":"W4214564092","doi":"10.3390/w14050694","title":"Development of Method for Assessing Water Footprint Sustainability","year":2022,"lang":"en","type":"article","venue":"Water","topic":"Environmental Impact and Sustainability","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 British Columbia","funders":"Natural Science Foundation of Beijing Municipality","keywords":"Sustainability; Water use; Environmental science; Coal; Water scarcity; Ecological footprint; Carbon footprint; Environmental economics; Production (economics); Water-energy nexus; Environmental engineering; Greenhouse gas; Waste management; Water resources; Engineering; Economics","score_opus":0.014920931564284581,"score_gpt":0.2972451893316867,"score_spread":0.2823242577674021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214564092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98145676,0.0000020466268,0.016544223,0.00044404852,0.000060561928,0.00052837597,0.0000027506571,0.000018796285,0.00094246166],"genre_scores_gemma":[0.9550814,6.89801e-8,0.043423805,0.00007760775,0.0000073566334,0.00020588191,0.000020749238,0.000014044547,0.0011690796],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99852586,0.00012569428,0.00030552284,0.00030321474,0.00028491052,0.00045479587],"domain_scores_gemma":[0.9995924,0.000025142852,0.000032670483,0.00027192,0.000008767565,0.0000690883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015943696,0.00012317527,0.00016187974,0.000024131967,0.00040614628,0.000019924377,0.00020769882,0.000028853836,0.0034303835],"category_scores_gemma":[0.000018988356,0.000078103425,0.00008562493,0.000041231724,0.0001015439,0.00012214536,0.0009997119,0.00010125666,0.000014449732],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017471872,0.0009902396,0.12637272,0.00023365192,0.00004551437,0.000008486832,0.037503373,0.010256713,0.7084961,0.000114193266,0.00018718703,0.11561708],"study_design_scores_gemma":[0.00041051235,0.00007858289,0.051909864,9.818339e-7,0.000013575991,0.0000034362115,0.005718725,0.00047120688,0.80576557,0.0065998803,0.12878624,0.00024142579],"about_ca_topic_score_codex":0.00009822087,"about_ca_topic_score_gemma":0.000011346219,"teacher_disagreement_score":0.12859906,"about_ca_system_score_codex":0.0012962854,"about_ca_system_score_gemma":0.00001838416,"threshold_uncertainty_score":0.99748063},"labels":[],"label_agreement":null},{"id":"W4214629779","doi":"10.1029/2021wr029599","title":"Water Footprint Analysis Under Dual Pressures of Carbon Mitigation and Trade Barrier: A CGE‐Based Study for Yangtze River Economic Belt","year":2022,"lang":"en","type":"article","venue":"Water Resources Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"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":"Mitacs","keywords":"Computable general equilibrium; Carbon tax; Natural resource economics; Virtual water; Water use; Dual (grammatical number); Environmental science; Greenhouse gas; Water resources; Economics; Water scarcity; Macroeconomics","score_opus":0.024724271865328624,"score_gpt":0.3016472450985862,"score_spread":0.2769229732332576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214629779","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99806505,0.000023125693,0.00001295727,0.0004920529,0.000013741844,0.001079304,0.00004066529,0.000011883793,0.00026122096],"genre_scores_gemma":[0.99893594,0.0000010774924,0.00003611126,0.000025369725,0.000015932015,0.00027792988,0.000050354018,0.000018104365,0.0006391646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741966,0.00063086563,0.000276075,0.0004846532,0.00065222033,0.0005365102],"domain_scores_gemma":[0.9993367,0.0001010919,0.000032194057,0.00038204176,0.0000057369557,0.00014222851],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018523455,0.00013897715,0.00024235935,0.00020434064,0.00044502548,0.0000490276,0.00025696956,0.00004338574,0.0011013707],"category_scores_gemma":[0.000012730561,0.000097277865,0.0001131861,0.00013687708,0.0005125912,0.00006876273,0.00081850257,0.0002192033,0.00000353054],"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":[0.00041183995,0.0004821325,0.85105616,0.00003967162,0.00026010984,0.000007767283,0.031778425,0.06378551,0.051672526,0.0000035021283,0.000023338349,0.00047903188],"study_design_scores_gemma":[0.0016678557,0.0015111191,0.84211445,0.000002053713,0.00023294009,0.0000015669754,0.013931838,0.012194975,0.1201187,0.0009311588,0.006981938,0.00031142702],"about_ca_topic_score_codex":0.0045275344,"about_ca_topic_score_gemma":0.00048247675,"teacher_disagreement_score":0.06844618,"about_ca_system_score_codex":0.00048422266,"about_ca_system_score_gemma":0.000007672919,"threshold_uncertainty_score":0.99981177},"labels":[],"label_agreement":null},{"id":"W4214712864","doi":"10.1016/j.scitotenv.2022.154108","title":"Letter to the editor re: “The scarcity-weighted water footprint provides unreliable water sustainability scoring” by","year":2022,"lang":"en","type":"letter","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Footprint; Sustainability; Water scarcity; Scarcity; Environmental science; Ecological footprint; Water resource management; Geography; Economics; Archaeology","score_opus":0.0060724973264691855,"score_gpt":0.2032095415299034,"score_spread":0.1971370442034342,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214712864","genre_codex":"commentary","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36126015,0.000034909124,0.000016906855,0.6326476,0.002074293,0.003233729,0.000048244503,0.000028745417,0.00065548957],"genre_scores_gemma":[0.8258237,0.000023963907,0.000081188664,0.11948314,0.0036565217,0.0012599555,0.000040156487,0.00013991776,0.04949145],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99076295,0.0009833336,0.0008063321,0.001461643,0.0038921258,0.002093643],"domain_scores_gemma":[0.99483037,0.00023176915,0.00027455,0.0044415523,0.000018455314,0.00020328668],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["sts","open_science"],"category_scores_codex":[0.00582508,0.0007663688,0.0004973113,0.000059944097,0.003406763,0.00026854107,0.0064936397,0.00025248463,0.005415193],"category_scores_gemma":[0.00017454423,0.00027205,0.0004723926,0.0004530115,0.009016644,0.00035462584,0.012147157,0.002583756,0.00045494325],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007977145,0.00022763776,0.00026694092,0.00006338879,0.0000431779,0.000009122546,0.004299781,0.029286748,0.020338155,0.000005235587,0.9448569,0.00052317657],"study_design_scores_gemma":[0.00019182154,0.0002851054,0.0023120325,0.000014016993,0.0001099829,0.000014450064,0.00083049,0.00023949897,0.072093666,0.0014702033,0.9218603,0.00057846366],"about_ca_topic_score_codex":0.0018392253,"about_ca_topic_score_gemma":0.000008013657,"teacher_disagreement_score":0.5131644,"about_ca_system_score_codex":0.0049908576,"about_ca_system_score_gemma":0.00007831998,"threshold_uncertainty_score":0.9999732},"labels":[],"label_agreement":null},{"id":"W4214943791","doi":"10.1139/er-2021-0111","title":"Recent advances in carbon footprint studies of urban ecosystems: overview, application, and future challenges","year":2022,"lang":"en","type":"article","venue":"Environmental Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Carbon footprint; Urban ecosystem; Environmental science; Footprint; Life-cycle assessment; Ecosystem; Climate change; Ecological footprint; Environmental resource management; Greenhouse gas; Urban metabolism; Urban planning; Sustainable development; Geography; Ecology; Urban density; Engineering; Production (economics); Civil engineering","score_opus":0.02445213200818032,"score_gpt":0.2854185993481068,"score_spread":0.2609664673399265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214943791","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.43114203,0.56611884,9.532099e-7,0.00034232973,0.00006835454,0.0008439773,0.000006422954,0.00000695806,0.001470139],"genre_scores_gemma":[0.41558173,0.58383214,0.00006616396,0.000051674942,0.000027015089,0.0003648878,0.0000065699637,0.000011478749,0.000058340072],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9979139,0.000389251,0.00058342755,0.00049112574,0.0003606964,0.0002616154],"domain_scores_gemma":[0.9991662,0.000037446265,0.00026756464,0.00044092475,3.5717346e-7,0.00008749884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009862218,0.00023278197,0.00048747257,0.000036735393,0.000105004096,0.0000035023227,0.00022219245,0.0000365958,0.00031083773],"category_scores_gemma":[0.000020751406,0.00020590023,0.00007158635,0.00014336722,0.00025468675,0.000104591905,0.0006724056,0.00018978452,0.000013496084],"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":[0.000023525079,0.00035277195,0.1892572,0.00015166462,0.000010205591,0.0000032120834,0.0027380204,0.00004561494,0.001543921,0.000078314915,0.000048612248,0.8057469],"study_design_scores_gemma":[0.00025302457,0.00015507982,0.0921286,0.000015719128,0.000013482864,0.000007858483,0.0058293086,0.000033963603,0.00020134254,0.0004567856,0.9007106,0.00019425352],"about_ca_topic_score_codex":0.000027949027,"about_ca_topic_score_gemma":0.00015623687,"teacher_disagreement_score":0.90066195,"about_ca_system_score_codex":0.0010596118,"about_ca_system_score_gemma":0.0000033137098,"threshold_uncertainty_score":0.8396368},"labels":[],"label_agreement":null},{"id":"W4220864482","doi":"10.1016/j.jclepro.2022.131291","title":"Liquefied natural gas exports from Canada to China: An analysis of internationally transferred mitigation outcomes (ITMO)","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Calgary; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Liquefied natural gas; Greenhouse gas; Life-cycle assessment; China; Coal; Natural gas; Environmental economics; Scenario analysis; Environmental science; Sustainable development; Natural resource economics; Environmental impact assessment; Business; Environmental resource management; Waste management; Environmental protection; Engineering; Production (economics); Economics; Finance","score_opus":0.004616296399414893,"score_gpt":0.2265315957651588,"score_spread":0.22191529936574392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220864482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962389,0.000013581778,0.0001429745,0.0028814555,0.0004993398,0.00013372797,0.000019526207,0.0000044245053,0.000066105385],"genre_scores_gemma":[0.9991021,0.0000032818866,0.00033980518,0.00018216699,0.00006227105,0.000003857587,0.000040214767,0.00000763618,0.00025864624],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826276,0.00013960154,0.00047366336,0.00019300134,0.00081117585,0.00011978431],"domain_scores_gemma":[0.9993945,0.000017788017,0.00027593452,0.00018569325,0.000024534069,0.000101590354],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004984575,0.00009891086,0.00024098236,0.00012293176,0.00010160321,0.0000117672325,0.00019453415,0.000017620105,0.001276081],"category_scores_gemma":[0.00009261618,0.00008730038,0.00012747184,0.00031719168,0.00004310835,0.0004239397,0.000056360223,0.00019408295,4.862609e-7],"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":[0.00023022635,0.00025337364,0.6473293,0.000002888464,0.00022490583,0.0000142170375,0.0026973854,0.31982166,0.022148758,0.0000035202206,0.0005524493,0.006721325],"study_design_scores_gemma":[0.00015878491,0.0001661501,0.9882884,0.0000019762617,0.00016689415,0.000012057438,0.0017099613,0.0007340726,0.0079658255,0.00017597499,0.00052754197,0.00009234999],"about_ca_topic_score_codex":0.11692712,"about_ca_topic_score_gemma":0.12571792,"teacher_disagreement_score":0.34095913,"about_ca_system_score_codex":0.0011667012,"about_ca_system_score_gemma":0.000054725948,"threshold_uncertainty_score":0.9996369},"labels":[],"label_agreement":null},{"id":"W4220896240","doi":"10.3389/fenvs.2022.758857","title":"Methodological Comparison of the Production Approach 2013 and 2019 for Quantifying the Carbon Stock in Harvested Wood Products in China","year":2022,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Natural Science Foundation of China-China Academy of General Technology Joint Fund for Basic Research; Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences; National Natural Science Foundation of China; National Outstanding Youth Science Fund Project of National Natural Science Foundation of China; “333 Project” of Jiangsu Province; Government of Jiangsu Province; Chinese Academy of Sciences","keywords":"Paperboard; Carbon stock; Greenhouse gas; Stock (firearms); Environmental science; Paper production; China; Carbon accounting; Climate change; Waste management; Engineering; Ecology; Geography","score_opus":0.06405241705569394,"score_gpt":0.3021916627803673,"score_spread":0.23813924572467338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220896240","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962708,0.00032902672,0.00014612099,0.00087511813,0.00032835806,0.0019029059,0.000008681882,0.0000052908085,0.00013370931],"genre_scores_gemma":[0.99348825,0.000028905857,0.0060666134,0.000032077427,0.00000854301,0.00020107,0.000003377047,0.000009439398,0.00016174038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99720556,0.0005726504,0.00039609903,0.0007137996,0.0006325055,0.0004794064],"domain_scores_gemma":[0.9992673,0.00006450177,0.00017204242,0.0004437629,9.627101e-7,0.000051426454],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003796479,0.00017432739,0.00028068307,0.000096773205,0.00035889272,0.00001949174,0.0007122782,0.00004545713,0.000024132378],"category_scores_gemma":[0.00028123005,0.0001182801,0.000040047336,0.000932903,0.0022561275,0.0003301605,0.0010336997,0.00042094322,3.3019205e-7],"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":[0.00006781711,0.0005014591,0.9372991,0.000012965769,0.0000014919424,3.78839e-7,0.003413512,0.033383623,0.022222226,0.000008390618,0.00014531762,0.0029437505],"study_design_scores_gemma":[0.00031251207,0.00011993467,0.96629983,0.0000059031745,0.0000052154073,0.000005031588,0.0073008225,0.021365251,0.003967046,0.00026979749,0.0002002989,0.00014834135],"about_ca_topic_score_codex":0.00094971043,"about_ca_topic_score_gemma":0.00016503822,"teacher_disagreement_score":0.029000778,"about_ca_system_score_codex":0.0014162957,"about_ca_system_score_gemma":0.000021274967,"threshold_uncertainty_score":0.8312796},"labels":[],"label_agreement":null},{"id":"W4220909441","doi":"10.3390/su14074161","title":"Life Cycle Environmental Sustainability and Energy Assessment of Timber Wall Construction: A Comprehensive Overview","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"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":"Embodied energy; Life-cycle assessment; Global-warming potential; Sustainability; Environmental impact assessment; Global warming; Environmental science; Upstream (networking); Scopus; Greenhouse gas; Architectural engineering; Environmental resource management; Engineering; Climate change; Ecology; Political science; Economics","score_opus":0.007254528514722604,"score_gpt":0.25908614352910586,"score_spread":0.2518316150143833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4220909441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99466556,0.00031659464,0.00026214364,0.002043935,0.000091848306,0.00077905017,0.00007771253,0.00005739385,0.0017057694],"genre_scores_gemma":[0.9977684,0.000067073306,0.00062178366,0.0006161656,0.000017062575,0.00023866269,0.000037834325,0.000030596937,0.00060244225],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9957391,0.000932887,0.0007363273,0.000965778,0.0008980644,0.0007278285],"domain_scores_gemma":[0.9979247,0.00020381258,0.0002984622,0.0009867266,0.000055179156,0.000531157],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000901589,0.00040669122,0.0005857945,0.00007209399,0.0007100908,0.000030910025,0.0003853172,0.00010419241,0.009026128],"category_scores_gemma":[0.00031268992,0.00042645517,0.00022784622,0.00039101156,0.0023790926,0.0004104471,0.0022957972,0.00042834866,0.000002990413],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013369357,0.0011186675,0.97065544,0.00026401697,0.000044071123,0.000024851328,0.00075129874,0.012495167,0.00010867979,0.003931943,0.00027114496,0.010201014],"study_design_scores_gemma":[0.00089375005,0.0004976613,0.9170409,0.0000022900451,0.000053010255,0.000045570578,0.013594934,0.005417622,0.000046967412,0.036322813,0.025618045,0.00046647977],"about_ca_topic_score_codex":0.002671073,"about_ca_topic_score_gemma":0.000046895755,"teacher_disagreement_score":0.053614598,"about_ca_system_score_codex":0.008181906,"about_ca_system_score_gemma":0.00042664772,"threshold_uncertainty_score":0.99981874},"labels":[],"label_agreement":null},{"id":"W4221055138","doi":"10.3389/fclim.2022.841907","title":"Life-Cycle and Techno-Economic Assessment of Early-Stage Carbon Capture and Utilization Technologies—A Discussion of Current Challenges and Best Practices","year":2022,"lang":"en","type":"article","venue":"Frontiers in Climate","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"EIT Climate-KIC; National Renewable Energy Laboratory; U.S. Department of Energy; Office of Energy Efficiency and Renewable Energy; European Commission; National Energy Technology Laboratory; Argonne National Laboratory; Office of Energy Efficiency; Technische Universität Berlin; Bioenergy Technologies Office; University of Sheffield; RWTH Aachen University; University of Michigan","keywords":"Scope (computer science); Maturity (psychological); Technology readiness level; Emerging technologies; Life-cycle assessment; CLARITY; Best practice; Technology assessment; Risk analysis (engineering); Work (physics); Computer science; Process management; Engineering; Business; Production (economics); Systems engineering; Political science","score_opus":0.03730167889833356,"score_gpt":0.3205083882406008,"score_spread":0.2832067093422672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221055138","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99422795,0.004309739,0.00002738297,0.00043493832,0.00007909579,0.0002986488,0.000042395488,0.0000149075595,0.00056492194],"genre_scores_gemma":[0.98638844,0.012767513,0.00078094116,0.0000031782388,0.0000017412777,0.000028120265,0.0000038876265,0.000007565425,0.000018624309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991541,0.000063825006,0.0002065527,0.00027165137,0.00014085055,0.00016302477],"domain_scores_gemma":[0.9994804,0.000020404375,0.00027732615,0.00017565285,0.0000014840624,0.000044703935],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000387697,0.0001053283,0.00019357071,0.00006871329,0.00007339501,0.000007964409,0.000095884694,0.0000550756,0.000019492967],"category_scores_gemma":[0.000053144595,0.000084760155,0.000013523039,0.00006232661,0.00035971362,0.00018965281,0.0006725019,0.00017393952,7.733067e-8],"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":[0.000030919102,0.00014150015,0.9531733,0.00014482306,0.0000051460415,0.0000011139942,0.0009855984,0.00032109764,0.000328465,0.00008132161,0.000008307648,0.044778436],"study_design_scores_gemma":[0.00057438173,0.00041165698,0.93196905,0.000033599994,0.000030061059,0.0000026822368,0.046181932,0.01717153,0.00035167582,0.0019906317,0.0010808856,0.00020193115],"about_ca_topic_score_codex":0.00036184298,"about_ca_topic_score_gemma":0.00010704329,"teacher_disagreement_score":0.045196332,"about_ca_system_score_codex":0.0002117462,"about_ca_system_score_gemma":0.000011255413,"threshold_uncertainty_score":0.34564188},"labels":[],"label_agreement":null},{"id":"W4221123750","doi":"10.5194/egusphere-egu22-7003","title":"Underlying reaction mechanisms support narrowing exemptions of ODS and HFC feedstocks under the Montreal Protocol","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Montreal Protocol; Raw material; Ozone layer; Waste management; Environmental science; Ozone; Chemistry; Environmental chemistry; Environmental engineering; Engineering; Organic chemistry","score_opus":0.0318486441888547,"score_gpt":0.313411814300823,"score_spread":0.2815631701119683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4221123750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.80108,0.000008336373,0.014567712,0.001572961,0.00026404692,0.09218093,0.00004000511,0.0001663997,0.09011959],"genre_scores_gemma":[0.96791744,0.000004852781,0.0009469376,0.0001599133,0.000011967952,0.027490823,0.000023706103,0.000027862758,0.0034164682],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99805063,0.0001863936,0.0003960819,0.00052282005,0.00052986934,0.00031419387],"domain_scores_gemma":[0.9989689,0.000064631575,0.00022507364,0.0006277275,0.0000047099143,0.00010895565],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078506017,0.00027190443,0.00025469053,0.00004397283,0.0004497284,0.000050400613,0.00033005173,0.00016762532,0.006898325],"category_scores_gemma":[0.00001599083,0.0002040436,0.00014004612,0.00011308672,0.0003506985,0.00025900497,0.0021141486,0.0006053555,0.000010983258],"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":[0.0014630661,0.0068065585,0.28346607,0.0029399528,0.0011543372,0.000144539,0.045728203,0.17020606,0.30058464,0.021504696,0.007056353,0.15894555],"study_design_scores_gemma":[0.001034417,0.0005967269,0.8061507,0.00003687541,0.0001838528,0.00005882262,0.0348164,0.0018011358,0.0025976854,0.1489439,0.0028637678,0.0009157459],"about_ca_topic_score_codex":0.0045371377,"about_ca_topic_score_gemma":0.00045455946,"teacher_disagreement_score":0.52268463,"about_ca_system_score_codex":0.00091159967,"about_ca_system_score_gemma":0.000041951746,"threshold_uncertainty_score":0.9940095},"labels":[],"label_agreement":null},{"id":"W4225281091","doi":"10.1007/s13399-022-02700-0","title":"Biomass gasification investment: a multi-criteria decision considering uncertain conditions","year":2022,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Net present value; Multiple-criteria decision analysis; Investment (military); Investment decisions; Syngas; Renewable energy; Production (economics); Environmental economics; Environmental science; Waste management; Economics; Engineering; Microeconomics; Operations research","score_opus":0.02650266098871111,"score_gpt":0.2723454148349731,"score_spread":0.24584275384626197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225281091","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979752,0.000104660365,0.00017302002,0.00048953656,0.00019546285,0.0002987995,0.000071713024,0.00006580785,0.0006258577],"genre_scores_gemma":[0.99713916,0.000024872636,0.0013963887,0.0008315477,0.000011189532,0.000051880863,0.0001170696,0.000013641427,0.00041428008],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9986062,0.00010334772,0.00025013575,0.00043867994,0.00031534233,0.0002862771],"domain_scores_gemma":[0.99936014,0.00006657704,0.000094499206,0.00027649075,0.0000046127234,0.00019767937],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033009684,0.00018264657,0.00015030341,0.00009907011,0.00067050033,0.00005045901,0.00015566044,0.000060325212,0.004945719],"category_scores_gemma":[0.00003606104,0.00016959876,0.000067903355,0.00029986814,0.00041440595,0.00026569783,0.0006126846,0.00010173323,0.000082588216],"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":[0.00014798109,0.00056332385,0.2370663,0.00004875025,0.000023025506,0.00007196746,0.0005897382,0.000026194577,0.7484029,0.00024010855,0.009808154,0.003011568],"study_design_scores_gemma":[0.0049698213,0.0006580572,0.770638,0.000031142165,0.00008462695,0.00019930956,0.007773446,0.012557021,0.04406407,0.0020573584,0.1557445,0.0012226852],"about_ca_topic_score_codex":0.0005205826,"about_ca_topic_score_gemma":0.000021072492,"teacher_disagreement_score":0.70433885,"about_ca_system_score_codex":0.00046994258,"about_ca_system_score_gemma":0.00001648144,"threshold_uncertainty_score":0.9959639},"labels":[],"label_agreement":null},{"id":"W4225339280","doi":"","title":"Évaluation de l’impact environnemental des activités de recherche. Témoignage sur le bilan gaz à effets de serre du Labos1point5","year":2021,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"GDG Environnement","funders":"","keywords":"Political science; Environmental science","score_opus":0.05436025247897729,"score_gpt":0.2859033681702706,"score_spread":0.23154311569129332,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4225339280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89764625,0.0010477725,0.07928745,0.0069150664,0.000108907196,0.0008573827,0.00010773536,0.00013547261,0.013893961],"genre_scores_gemma":[0.8950781,0.0027119073,0.093047544,0.00020232797,0.00004159402,0.00012907217,0.000518666,0.00010743346,0.00816331],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.96379906,0.03182406,0.00078014453,0.0013627562,0.0007913275,0.0014426641],"domain_scores_gemma":[0.9929999,0.0030078392,0.00058294804,0.0023160258,0.00023627766,0.0008569961],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.027082553,0.0008084486,0.00066680124,0.00013182483,0.0010575863,0.00068432104,0.001503029,0.0009926361,0.0045625702],"category_scores_gemma":[0.0055248584,0.00092054263,0.00060050667,0.000623601,0.0015100434,0.0008394518,0.0023224202,0.0017413576,0.00015733586],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007355445,0.0045547294,0.58897823,0.00034188182,0.0001941993,0.00006322691,0.048380204,0.007160771,0.1930832,0.0011073215,0.00029362686,0.15576905],"study_design_scores_gemma":[0.0011536303,0.000004551871,0.7373998,0.00091092347,0.00012407669,0.00009931365,0.0026261003,0.034616888,0.21604614,0.0051013143,0.0011445472,0.0007727204],"about_ca_topic_score_codex":0.05125775,"about_ca_topic_score_gemma":0.013482262,"teacher_disagreement_score":0.15499634,"about_ca_system_score_codex":0.010550826,"about_ca_system_score_gemma":0.001393216,"threshold_uncertainty_score":0.9993245},"labels":[],"label_agreement":null},{"id":"W4226147745","doi":"10.1016/j.advwatres.2022.104188","title":"Nations’ water footprints and virtual water trade of wood products","year":2022,"lang":"en","type":"article","venue":"Advances in Water Resources","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Agencia Estatal de Investigación; Eusko Jaurlaritza; European Commission; Ministerio de Ciencia, Innovación y Universidades","keywords":"Virtual water; Sustainability; Agriculture; Wood processing; Environmental science; Water use; Production (economics); Business; Agricultural economics; Wood production; Pulp and paper industry; Forestry; Natural resource economics; Agroforestry; Geography; Forest management; Engineering; Water scarcity; Economics; Ecology","score_opus":0.004746000435045049,"score_gpt":0.2140564619654695,"score_spread":0.20931046153042446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226147745","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99698615,0.00013620908,0.0000035157461,0.0006938574,0.00006159535,0.00026446447,0.0000041075396,0.0000148450645,0.0018352388],"genre_scores_gemma":[0.9987796,0.000038113318,0.00010018502,0.00007786322,0.00001369004,0.000055803066,0.000013037952,0.000012825775,0.00090890983],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985688,0.00012817318,0.000247965,0.0003454477,0.00032666398,0.00038299986],"domain_scores_gemma":[0.9996801,0.00001918639,0.000023757942,0.00022471976,0.0000016141822,0.000050632883],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00040233278,0.000134752,0.00015514885,0.00006981076,0.00021257745,0.000014007444,0.00022151865,0.000025270187,0.0012562991],"category_scores_gemma":[0.000013150415,0.00007662949,0.000027913373,0.00008367238,0.0003678226,0.00037435425,0.00073053944,0.0001486582,0.000022028154],"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":[0.00026515176,0.000747521,0.44915253,0.00011889693,0.000019385227,0.000037407455,0.09222487,0.024011802,0.41603845,0.000057149366,0.000034004664,0.017292814],"study_design_scores_gemma":[0.0005810183,0.00032936595,0.043590307,0.000005360508,0.000008543659,0.000017628341,0.0036471453,0.000044504148,0.7409844,0.0018626757,0.20866403,0.0002650458],"about_ca_topic_score_codex":0.00007331008,"about_ca_topic_score_gemma":0.00004396029,"teacher_disagreement_score":0.40556222,"about_ca_system_score_codex":0.00015399448,"about_ca_system_score_gemma":0.0000010603601,"threshold_uncertainty_score":0.9996567},"labels":[],"label_agreement":null},{"id":"W4226290920","doi":"10.1016/b978-0-323-98826-1.00003-x","title":"Building as an energy system","year":2022,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Electrification; Efficient energy use; Environmental economics; Sustainability; Embodied energy; Engineering; Flexibility (engineering); Distributed generation; Electricity; Energy engineering; Architectural engineering; Renewable energy; Electrical engineering; Economics","score_opus":0.007823236864210936,"score_gpt":0.22478396015626018,"score_spread":0.21696072329204924,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226290920","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0031142037,0.00013976442,0.0000070930573,0.000016940767,0.00024420855,0.00033332914,0.000024858595,0.00013048298,0.99598914],"genre_scores_gemma":[0.053513035,0.000020673828,0.00032569355,0.00036747876,0.0001227454,0.00006379565,0.000028064554,0.00011461554,0.94544387],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975606,0.00008524382,0.00040371844,0.0007671199,0.0007213921,0.00046188742],"domain_scores_gemma":[0.9985012,0.00002880155,0.00020797091,0.0009230851,0.0000038041617,0.00033513154],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003662747,0.0004797168,0.00043260693,0.000060110342,0.00037275653,0.000051155428,0.00057866576,0.0002399026,0.016647242],"category_scores_gemma":[0.0000073976594,0.00048057374,0.00023554712,0.000016229076,0.00032226872,0.00016980254,0.0008944538,0.00043906714,0.00044030437],"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":[0.000021033842,0.000023345332,0.000096627984,0.000045585213,0.000031805674,0.00016709448,0.00021003239,0.00003890682,0.00014026479,0.06259712,0.00009036397,0.9365378],"study_design_scores_gemma":[0.00013411799,0.00018469596,0.000112819755,0.000033414126,0.000058208097,0.00006877301,0.00007685975,0.000028670862,0.000083429695,0.013203834,0.9854822,0.00053297915],"about_ca_topic_score_codex":0.00007168489,"about_ca_topic_score_gemma":0.000056561705,"teacher_disagreement_score":0.98539186,"about_ca_system_score_codex":0.0023520768,"about_ca_system_score_gemma":0.000031866854,"threshold_uncertainty_score":0.9997646},"labels":[],"label_agreement":null},{"id":"W4226358135","doi":"10.1021/acs.estlett.2c00127","title":"Examining the Sensitivity of Global CO<sub>2</sub> Emissions to Trade Restrictions over Multiple Years","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Environmental Impact and Sustainability","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":"Université du Québec à Montréal; McGill University","funders":"","keywords":"Emission intensity; Greenhouse gas; Economics; International economics; Emissions trading; International trade; Developing country; Environmental science; Economic growth; Chemistry","score_opus":0.007652638112394855,"score_gpt":0.2235967865357056,"score_spread":0.21594414842331075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4226358135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940555,0.000010870773,0.000263311,0.004701576,0.000112009126,0.0005074586,0.000089054,0.00007519918,0.00018498949],"genre_scores_gemma":[0.9981889,0.0000049898704,0.00027860008,0.0014078575,0.000010648141,0.00007823546,0.000004285229,0.000013508037,0.000012991728],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9972444,0.00017271242,0.00028711598,0.000681896,0.00092738576,0.0006865004],"domain_scores_gemma":[0.9988649,0.00009055152,0.00013094547,0.0007134021,6.0673347e-7,0.00019961968],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0010417446,0.00021198655,0.00018678392,0.00012256176,0.0012648314,0.000020296306,0.00077336,0.00006752619,0.00033519632],"category_scores_gemma":[0.00010392228,0.00019457014,0.000078722864,0.0017919668,0.0040992694,0.0002782365,0.0017263697,0.00042550522,0.00006285054],"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":[0.000009935185,0.000116712596,0.42096096,3.3100454e-7,0.00000338109,0.000022616181,0.00018692418,0.005010833,0.57013935,0.000024702853,0.00057240756,0.0029518595],"study_design_scores_gemma":[0.00021322594,0.0001636493,0.93678284,0.0000020550497,0.000012546928,0.00007905452,0.0023042613,0.00028196248,0.057440575,0.00008957994,0.0024168426,0.00021339681],"about_ca_topic_score_codex":0.00015247412,"about_ca_topic_score_gemma":0.00004043029,"teacher_disagreement_score":0.5158219,"about_ca_system_score_codex":0.002566943,"about_ca_system_score_gemma":0.000023359107,"threshold_uncertainty_score":0.998611},"labels":[],"label_agreement":null},{"id":"W4229041678","doi":"10.1111/jiec.13286","title":"From carbon neutral to climate neutral: Dynamic life cycle assessment for wood‐based panels produced in China","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Ontario Forest Research Institute","funders":"Government of Jiangsu Province; National Natural Science Foundation of China","keywords":"Carbon neutrality; Greenhouse gas; Environmental science; Climate change; Neutrality; Global warming; Natural resource economics; Climate change mitigation; Life-cycle assessment; Atmospheric sciences; Economics; Ecology; Production (economics)","score_opus":0.0172186328446704,"score_gpt":0.2878558487530633,"score_spread":0.2706372159083929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229041678","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918226,0.0000047724075,0.000017910983,0.006083953,0.0009599828,0.00088938203,0.00005803557,0.000008760722,0.00015458834],"genre_scores_gemma":[0.99858624,0.0000024017158,0.00047590217,0.0005950306,0.00019994027,0.000083225066,0.0000123963155,0.00002091299,0.00002398116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977431,0.00041664197,0.0007158369,0.000317936,0.0002478403,0.00055862835],"domain_scores_gemma":[0.9989308,0.00017899054,0.00038781652,0.00021882493,0.000007206528,0.00027633604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014418742,0.00018149377,0.00044290326,0.00012301875,0.00015721718,0.000022923388,0.00039378836,0.00013673113,0.0008878308],"category_scores_gemma":[0.00022939831,0.00017263915,0.00014421169,0.00026566247,0.00008013205,0.00014631657,0.00028141768,0.00074712286,0.0000032266805],"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":[0.0017554729,0.0012707434,0.51962423,0.000007070385,0.00003756091,0.0000961291,0.0007444404,0.45889986,0.013228418,0.0000099603,0.00047663247,0.0038494533],"study_design_scores_gemma":[0.005118253,0.0035063687,0.9781828,0.00000804414,0.00005124489,0.000016224201,0.0011883336,0.008563855,0.0014403102,0.0009436907,0.000705491,0.0002753819],"about_ca_topic_score_codex":0.0007716584,"about_ca_topic_score_gemma":0.00033920576,"teacher_disagreement_score":0.45855856,"about_ca_system_score_codex":0.0024719888,"about_ca_system_score_gemma":0.00020643653,"threshold_uncertainty_score":0.9721124},"labels":[],"label_agreement":null},{"id":"W4229440983","doi":"10.1590/1519-6984.260615","title":"Environmental sustainability assessment of softwood and hardwood seedlings production in forest nurseries: A case study from Pakistan","year":2022,"lang":"en","type":"article","venue":"Brazilian Journal of Biology","topic":"Environmental Impact and Sustainability","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":"University of Northern British Columbia","funders":"","keywords":"Life-cycle assessment; Seedling; Sustainability; Environmental impact assessment; Abiotic component; Forestry; Biology; Environmental science; Environmental protection; Agroforestry; Production (economics); Ecology; Agronomy; Geography","score_opus":0.0067135925796058425,"score_gpt":0.2894410788472335,"score_spread":0.28272748626762767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229440983","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9987701,0.000089625755,0.000047812053,0.00027231566,0.00014793681,0.0005932332,0.000039478888,0.0000045050465,0.00003495458],"genre_scores_gemma":[0.9994727,0.000012478346,0.00038603987,0.00002944724,0.000026367485,0.00002165475,0.0000055784412,0.000011696339,0.000034063687],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99777293,0.00058197003,0.0007195159,0.00035551138,0.0002622689,0.00030781265],"domain_scores_gemma":[0.99908036,0.00008842527,0.00042559448,0.00027284346,0.000008514634,0.00012426513],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014645634,0.0001743145,0.00038230277,0.00008930203,0.00019987822,0.000011113935,0.0002083683,0.000051739436,0.00073759333],"category_scores_gemma":[0.00009860474,0.00015976823,0.0000822736,0.00016507022,0.0006189898,0.0002689135,0.000431754,0.00039441668,5.547017e-7],"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":[0.00016486643,0.0016728455,0.98148656,0.000009954372,0.000030599058,0.00054421095,0.004946649,0.0010663839,0.0033825538,0.0000055149985,0.000015829697,0.0066740387],"study_design_scores_gemma":[0.0010692286,0.0023743305,0.88515264,0.0000028127427,0.000033719454,0.000940784,0.10808532,0.00006922508,0.0001928199,0.0017689213,0.00017557245,0.00013463762],"about_ca_topic_score_codex":0.0014287503,"about_ca_topic_score_gemma":0.0006121651,"teacher_disagreement_score":0.10313867,"about_ca_system_score_codex":0.0013704469,"about_ca_system_score_gemma":0.000061548795,"threshold_uncertainty_score":0.807613},"labels":[],"label_agreement":null},{"id":"W4229669620","doi":"10.32920/14656524.v1","title":"Optimal Replacement, Retrofit, and Management of a Fleet of Assets Under Regulations of an Emissions Trading System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Toronto Metropolitan University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Purchasing; Greenhouse gas; Business; Fixed asset; Emissions trading; Industrial organization; Finance; Environmental economics; Natural resource economics; Production (economics); Economics; Microeconomics","score_opus":0.01863779162703772,"score_gpt":0.2767780907742178,"score_spread":0.25814029914718006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229669620","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983865,0.00005679811,0.0029739102,0.000046173016,0.00004627908,0.00057852967,0.00003818917,0.000018092776,0.012376981],"genre_scores_gemma":[0.97521734,0.000049304334,0.023880146,0.000005236181,0.0000043422083,0.00001880519,0.000054468674,0.000015003033,0.00075533893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980859,0.0001370195,0.0006513041,0.00049093383,0.00043602157,0.0001988278],"domain_scores_gemma":[0.9985946,0.000032984404,0.00038074126,0.0008365999,0.000011223825,0.00014385278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005382577,0.00020903001,0.00044032096,0.00005411916,0.00006128951,0.000015874157,0.00022619829,0.00015755945,0.0009048644],"category_scores_gemma":[0.000011378939,0.00019413512,0.000120140496,0.00014239988,0.00030537325,0.0001586048,0.0011671024,0.00014850088,4.7638045e-7],"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":[0.0004848971,0.003471564,0.7010395,0.017346442,0.0013367943,0.000062193234,0.008803161,0.17557465,0.079166934,0.007942599,0.00069134135,0.0040799067],"study_design_scores_gemma":[0.00070692576,0.00027559797,0.9207129,0.0007971183,0.0003082969,0.00001347047,0.032047424,0.023392277,0.020954786,0.00036506445,0.00002550249,0.00040063614],"about_ca_topic_score_codex":0.00052453036,"about_ca_topic_score_gemma":0.00002955929,"teacher_disagreement_score":0.21967338,"about_ca_system_score_codex":0.00041806386,"about_ca_system_score_gemma":0.00001953349,"threshold_uncertainty_score":0.99076307},"labels":[],"label_agreement":null},{"id":"W4229737382","doi":"10.1111/1539-6924.00263","title":"Assessing Human Health Response in Life Cycle Assessment Using ED<sub>10</sub>s and DALYs: Part 2—Noncancer Effects","year":2002,"lang":"en","type":"article","venue":"Risk Analysis","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":70,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute of Population and Public Health","funders":"","keywords":"Extrapolation; Risk assessment; Econometrics; Benchmark (surveying); Risk analysis (engineering); No-observed-adverse-effect level; Point estimation; Computer science; Human health; Environmental health; Toxicology; Medicine; Statistics; Mathematics; Biology","score_opus":0.016837969202935003,"score_gpt":0.3245971453369735,"score_spread":0.30775917613403847,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4229737382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99795145,0.00044494378,0.0007184907,0.00018114588,0.000021845897,0.00024234102,0.000006686554,0.000026481806,0.00040659093],"genre_scores_gemma":[0.9986457,0.0003452265,0.0006496168,0.00021418552,0.00002632023,0.000017506709,0.0000072730086,0.000018740318,0.00007540037],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99686533,0.0010980017,0.00046778665,0.0005841199,0.00044330396,0.00054145954],"domain_scores_gemma":[0.9987143,0.00020234328,0.0002618366,0.00046820426,0.0000046031587,0.00034871235],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018401435,0.0002412188,0.0005040059,0.00019586584,0.00049297296,0.0001475596,0.00014383373,0.00008539842,0.0016119698],"category_scores_gemma":[0.00015091065,0.00023224861,0.00017012448,0.00103504,0.00024743789,0.0005758047,0.0002057015,0.00025368156,0.000036323836],"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":[0.000032035005,0.00029126674,0.9534669,0.000023044191,0.00014243093,0.000017849372,0.0006214592,0.031317472,0.0048265876,0.0000017625387,0.00016979022,0.009089402],"study_design_scores_gemma":[0.00041479152,0.00009273511,0.88158077,0.00001585722,0.00028709503,9.48344e-7,0.0004072083,0.116470076,0.00032283488,0.000053668315,0.00012532502,0.00022869156],"about_ca_topic_score_codex":0.0025838534,"about_ca_topic_score_gemma":0.00090809376,"teacher_disagreement_score":0.0851526,"about_ca_system_score_codex":0.0017385462,"about_ca_system_score_gemma":0.000025145257,"threshold_uncertainty_score":0.9993007},"labels":[],"label_agreement":null},{"id":"W4230761415","doi":"10.5194/hessd-8-483-2011","title":"Internal and external green-blue agricultural water footprints of nations, and related water and land savings through trade","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"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":"International Institute for Applied Systems Analysis; Bundesministerium für Bildung und Forschung","keywords":"Virtual water; Agriculture; Water use; Farm water; Environmental science; Non-revenue water; Irrigation; Water resource management; Population; Business; Agricultural economics; Water conservation; Geography; Water scarcity; Economics; Agronomy; Biology","score_opus":0.009700930126989745,"score_gpt":0.21615508755003285,"score_spread":0.2064541574230431,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230761415","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9914851,0.00013864682,0.000046238194,0.0003692807,0.00007064037,0.0003555416,0.000009211177,0.000021430518,0.00750392],"genre_scores_gemma":[0.99651515,0.00020453158,0.00066569174,0.000049784092,0.0000145817585,0.000011859249,0.000021019736,0.000013959861,0.0025034242],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99850696,0.000071137896,0.0003701483,0.0005202237,0.00021894617,0.00031258754],"domain_scores_gemma":[0.9995485,0.000021023063,0.00007758632,0.00021207178,0.000005214488,0.00013563294],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00023234454,0.0002942824,0.00030363,0.000033352502,0.00010606312,0.000054030184,0.00016760512,0.00023768433,0.0011779564],"category_scores_gemma":[0.000011332027,0.00015771163,0.000054804186,0.00002609812,0.0006396668,0.00028970613,0.0017957316,0.00035661287,0.000010943733],"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":[0.00008549623,0.00019278818,0.9177658,0.00028413927,0.000104933744,0.000022856519,0.029418098,0.000034534565,0.047952577,0.00014451097,0.000056777408,0.0039375043],"study_design_scores_gemma":[0.00048806888,0.000090376925,0.93560004,0.00005602642,0.000052562198,0.00010998392,0.00046396273,0.000042042397,0.05247154,0.010118441,0.00019672718,0.00031020064],"about_ca_topic_score_codex":0.0051739854,"about_ca_topic_score_gemma":0.00025565052,"teacher_disagreement_score":0.028954135,"about_ca_system_score_codex":0.00011123723,"about_ca_system_score_gemma":0.0000026615612,"threshold_uncertainty_score":0.9997351},"labels":[],"label_agreement":null},{"id":"W4230796445","doi":"10.1017/langcog.2016.24","title":"LCO volume 8 issue 3 Cover and Back matter","year":2016,"lang":"en","type":"paratext","venue":"Language and Cognition","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Cover (algebra); Volume (thermodynamics); Action (physics); Content (measure theory); Computer science; Mathematics; Engineering; Physics; Mechanical engineering","score_opus":0.0037967224805627742,"score_gpt":0.222750384604057,"score_spread":0.2189536621234942,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230796445","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.34974584,0.00079923845,0.00011513061,0.00034534596,0.00014929909,0.0003201497,0.00022662678,0.000007973198,0.6482904],"genre_scores_gemma":[0.19389695,0.00041775306,0.000038180235,0.0013561847,0.00015936173,0.000015572834,0.00019600369,0.000020945166,0.80389905],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991219,0.000049093618,0.0001269842,0.00033505767,0.00013470618,0.00023223426],"domain_scores_gemma":[0.99965245,0.000018585573,0.000059228423,0.0001595318,0.0000026045798,0.00010761342],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0000681908,0.0001983283,0.00017416218,0.000019082676,0.00007573318,0.000052977473,0.000057565914,0.00018195508,0.5783415],"category_scores_gemma":[0.0000056810654,0.00015297161,0.0000341333,0.00003224043,0.00024973098,0.00021562014,0.00016996468,0.00012050665,0.32197988],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000039282142,0.00007693803,0.0145779075,0.00022541432,0.000027752969,0.000023011013,0.0016015879,7.6852774e-7,0.0038179667,3.098355e-7,0.93739253,0.042216506],"study_design_scores_gemma":[0.0006453785,0.000109963905,0.04779044,0.00009252113,0.0000702593,0.00003479199,0.0007399562,0.000012325818,0.0012097738,0.00006873386,0.94870794,0.0005179158],"about_ca_topic_score_codex":0.00019874,"about_ca_topic_score_gemma":0.000005237916,"teacher_disagreement_score":0.25636163,"about_ca_system_score_codex":0.00007417667,"about_ca_system_score_gemma":0.0000030918832,"threshold_uncertainty_score":0.67854804},"labels":[],"label_agreement":null},{"id":"W4230846105","doi":"10.5194/hessd-7-2499-2010","title":"A global and high-resolution assessment of the green, blue and grey water footprint of wheat","year":2010,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":45,"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":"Water use; Virtual water; Environmental science; Water balance; Footprint; Agricultural engineering; Carbon footprint; Water resource management; Hydrology (agriculture); Water resources; Water scarcity; Greenhouse gas; Agronomy; Engineering; Geography","score_opus":0.0073049313013832376,"score_gpt":0.24790590287952977,"score_spread":0.24060097157814653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4230846105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959997,0.000021205871,0.0005336131,0.0006074921,0.00011568159,0.0005501997,0.000030418385,0.000009172477,0.0021325175],"genre_scores_gemma":[0.9981199,0.000031211308,0.0014718568,0.00003697082,0.000010905207,0.000014042762,0.000005160618,0.0000069548933,0.00030300365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863845,0.00009508634,0.00031110016,0.00038493093,0.00034135426,0.00022910185],"domain_scores_gemma":[0.99919397,0.000015508002,0.00011718,0.0005680776,0.000008219086,0.00009707404],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038573274,0.00020806366,0.0002778741,0.000012891475,0.00006928939,0.000019471687,0.000247423,0.00023577835,0.00039181072],"category_scores_gemma":[0.000013216551,0.00011698913,0.00007959877,0.000037914953,0.0009457649,0.000058902267,0.0035937103,0.00028582886,0.0000011963945],"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":[0.000018515046,0.00015377901,0.9759857,0.00016736375,0.000024691768,8.280226e-7,0.00038024972,0.0013762637,0.016995346,0.00045949616,0.000019828081,0.0044179414],"study_design_scores_gemma":[0.00022091474,0.0000638809,0.982296,0.0000174578,0.000038946117,0.000005033116,0.00013249056,0.0013885675,0.008876045,0.006713032,0.00010822801,0.00013940323],"about_ca_topic_score_codex":0.016662603,"about_ca_topic_score_gemma":0.0027345668,"teacher_disagreement_score":0.013928036,"about_ca_system_score_codex":0.0002866632,"about_ca_system_score_gemma":0.000016111899,"threshold_uncertainty_score":0.9898855},"labels":[],"label_agreement":null},{"id":"W4231074171","doi":"10.5194/hessd-8-3543-2011","title":"Analyses of impacts of China's international trade on its water resources and uses","year":2011,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Alberta Energy","funders":"","keywords":"Virtual water; China; Water resources; Agriculture; Business; Natural resource economics; Production (economics); Raw water; Water use; Environmental science; Water resource management; Water scarcity; Economics; Environmental engineering; Geography","score_opus":0.0397869851915634,"score_gpt":0.3052221947030461,"score_spread":0.2654352095114827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231074171","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97210974,0.000045878136,0.000008610005,0.00023148679,0.000055434317,0.00017956967,0.000031413085,0.000010463916,0.027327433],"genre_scores_gemma":[0.99923706,0.000117613556,0.0002224818,0.000045285942,0.000013559465,0.0000038929506,0.000013921562,0.000010489919,0.0003356924],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987999,0.00006171779,0.00031956247,0.00031011098,0.00032887285,0.00017984306],"domain_scores_gemma":[0.99943084,0.000025017936,0.00014320211,0.00030308752,0.0000018761652,0.00009595184],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021330256,0.00019771246,0.00029106575,0.00006277352,0.000025203377,0.000014057051,0.00029901913,0.00012955401,0.0034394884],"category_scores_gemma":[0.000040628787,0.00012400624,0.00011299325,0.00002957842,0.000361143,0.00011380187,0.00090441323,0.00017233644,0.000009549011],"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":[0.00036642366,0.0012193071,0.7605144,0.00038770324,0.00031103415,0.000010503629,0.014470031,0.0026951514,0.21608156,0.00010510244,0.0004903296,0.003348471],"study_design_scores_gemma":[0.00011112109,0.0001034479,0.6324157,0.000023944216,0.000027088012,0.0000012578894,0.00015918471,0.000056102712,0.3660265,0.000806142,0.00015892812,0.000110603505],"about_ca_topic_score_codex":0.0022920053,"about_ca_topic_score_gemma":0.00005161914,"teacher_disagreement_score":0.14994493,"about_ca_system_score_codex":0.00010914171,"about_ca_system_score_gemma":0.0000037419627,"threshold_uncertainty_score":0.9974715},"labels":[],"label_agreement":null},{"id":"W4231116680","doi":"10.1504/ijgw.2018.093125","title":"A comparative life cycle assessment based evaluation of greenhouse gas emission and social study: natural fibre versus glass fibre reinforced plastic automotive parts","year":2018,"lang":"en","type":"article","venue":"International Journal of Global Warming","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ford Motor Company","keywords":"Greenhouse gas; Automotive industry; Life-cycle assessment; Environmental science; Sawdust; Greenhouse; Environmental engineering; Waste management; Engineering; Pulp and paper industry; Ecology","score_opus":0.024751550300489998,"score_gpt":0.36545517074036393,"score_spread":0.34070362043987396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231116680","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980023,0.000011577271,0.00026387197,0.0003047549,0.0005808053,0.00021569504,0.000017718176,0.000007168653,0.00059611455],"genre_scores_gemma":[0.99940085,0.0000010537508,0.00038922267,0.000047213234,0.0001396044,0.0000024719236,0.000004318925,0.0000050709273,0.000010165854],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99757206,0.00021429024,0.0004388346,0.00016968953,0.0014395724,0.00016557756],"domain_scores_gemma":[0.9989407,0.00013879042,0.00048314483,0.00007412745,0.0002491195,0.00011409965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00073423836,0.00014475468,0.00022919767,0.000036344773,0.00014277671,0.00004409942,0.00023866391,0.000047117595,0.00028911143],"category_scores_gemma":[0.00038613784,0.00012322575,0.00008422648,0.00010279036,0.00028412518,0.0004668983,0.00018739393,0.00014512887,0.000004825784],"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":[0.013294368,0.0029941404,0.763151,0.00006322092,0.0017556791,0.00021305318,0.025000138,0.12221989,0.016651012,0.00013780103,0.002290549,0.05222916],"study_design_scores_gemma":[0.005718422,0.001544575,0.85098326,0.000057728917,0.00015068504,0.000022907845,0.005368491,0.13414305,0.0015730739,0.00021524662,0.000051578027,0.00017097985],"about_ca_topic_score_codex":0.00012802497,"about_ca_topic_score_gemma":0.00007256497,"teacher_disagreement_score":0.08783227,"about_ca_system_score_codex":0.0015751884,"about_ca_system_score_gemma":0.00014113385,"threshold_uncertainty_score":0.5025},"labels":[],"label_agreement":null},{"id":"W4231421487","doi":"10.1163/9789004322714_cclc_2017-0028-027","title":"Canada’s existing buildings hold key to climate targets - Clear strategy for energy-efficiency upgrades needed for deep emissions reductions","year":2018,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Key (lock); Environmental science; Efficient energy use; Climate change; Energy (signal processing); Meteorology; Environmental resource management; Natural resource economics; Business; Environmental economics; Computer science; Engineering; Geography; Computer security; Economics; Geology; Oceanography; Electrical engineering","score_opus":0.04647397406135109,"score_gpt":0.2890607631069406,"score_spread":0.24258678904558953,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4231421487","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01377504,0.00021253423,0.00024028982,0.00091195566,0.0010073478,0.0029559718,0.9796483,0.00007828029,0.0011703105],"genre_scores_gemma":[0.03999876,0.0030088446,0.0023016843,0.004258862,0.0023252214,0.004602245,0.94032073,0.0002220034,0.0029616375],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99766755,0.00005149935,0.00039362625,0.0007428947,0.00024904578,0.0008953618],"domain_scores_gemma":[0.9989597,0.00009432467,0.0002100735,0.00033278353,0.000028094335,0.00037498635],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00035639762,0.00039726245,0.00036845548,0.00008967734,0.0025510858,0.0001419963,0.00021358214,0.0002729152,0.00033391337],"category_scores_gemma":[0.00009803306,0.00038953323,0.000110065455,0.00029870786,0.00024751172,0.00025048322,0.00026218776,0.00015371885,0.000005260677],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014853322,0.00012914835,0.000029184606,0.00021109705,0.000013796765,0.0000020391683,0.00030315772,0.000060628172,0.00031254967,0.00014970022,0.99830055,0.00033963556],"study_design_scores_gemma":[0.00036690792,0.0008386088,0.00020257536,0.000057469173,0.000110857975,0.000014005847,0.0015000155,0.0006491961,0.00042894142,0.00024753078,0.9950907,0.00049318804],"about_ca_topic_score_codex":0.35114437,"about_ca_topic_score_gemma":0.51474154,"teacher_disagreement_score":0.16359717,"about_ca_system_score_codex":0.0011501319,"about_ca_system_score_gemma":0.00006650276,"threshold_uncertainty_score":0.99985564},"labels":[],"label_agreement":null},{"id":"W4232214561","doi":"10.3390/su12093793","title":"Evaluation of Industrial Urea Energy Consumption (EC) Based on Life Cycle Assessment (LCA)","year":2020,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":59,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China","keywords":"Life-cycle assessment; Urea; Energy consumption; Greenhouse gas; Coal; Environmental science; Production (economics); Fossil fuel; Waste management; Consumption (sociology); Pulp and paper industry; Environmental economics; Environmental engineering; Chemistry; Engineering; Economics; Organic chemistry; Ecology; Biology","score_opus":0.045587333992378035,"score_gpt":0.3125405992473803,"score_spread":0.2669532652550023,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232214561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9898509,0.00001175831,0.0013051104,0.0030288275,0.00007175368,0.00089321035,0.000018759969,0.00005031621,0.004769357],"genre_scores_gemma":[0.99899226,0.000001981872,0.00012365436,0.00068394653,0.00005423326,0.00008151926,0.000027174618,0.000015640844,0.00001956514],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9959221,0.0010389742,0.00046927138,0.00056627864,0.0016216937,0.00038170523],"domain_scores_gemma":[0.99859434,0.00016174428,0.00019574216,0.000542461,0.00013223205,0.00037348186],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0028927498,0.00023087258,0.000287492,0.000035959194,0.00013275383,0.000024171364,0.00024061708,0.00017390681,0.006037199],"category_scores_gemma":[0.0032421446,0.00021962852,0.00014156944,0.0002977412,0.00050423347,0.00025567165,0.00018640615,0.00024232094,0.000022922446],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032214462,0.00086163305,0.7882284,0.00006425902,0.000020468284,0.0000030135943,0.0004360609,0.1599093,0.00018189201,0.000395353,0.00055018644,0.04902732],"study_design_scores_gemma":[0.0021498818,0.00067901297,0.7570921,0.000006373723,0.00011684257,2.47254e-7,0.00059604907,0.23216945,0.0009154338,0.005212699,0.0007865348,0.00027536147],"about_ca_topic_score_codex":0.0006572803,"about_ca_topic_score_gemma":0.000034801516,"teacher_disagreement_score":0.07226015,"about_ca_system_score_codex":0.0040536816,"about_ca_system_score_gemma":0.0005664471,"threshold_uncertainty_score":0.99976957},"labels":[],"label_agreement":null},{"id":"W4232349663","doi":"10.1002/9781118445112.stat07776","title":"Standards, Environmental","year":2014,"lang":"en","type":"other","venue":"Wiley StatsRef: Statistics Reference Online","topic":"Environmental Impact and Sustainability","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":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Set (abstract data type); Computer science; Field (mathematics); Risk analysis (engineering); Sampling (signal processing); Environmental resource management; Environmental planning; Management science; Operations research; Engineering; Environmental science; Business; Mathematics; Telecommunications","score_opus":0.010575318165522386,"score_gpt":0.27343593092236884,"score_spread":0.26286061275684647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4232349663","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0026042783,0.0012564898,0.06161427,0.00015649202,0.00084779627,0.0022204402,0.20189242,0.0007715867,0.7286362],"genre_scores_gemma":[0.012991415,0.0042574448,0.077587634,0.00070378877,0.00040645798,0.000067425986,0.014711431,0.0013608504,0.8879135],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99547815,0.00021425326,0.0006416604,0.0010962314,0.0016074436,0.0009622455],"domain_scores_gemma":[0.9977232,0.00009635673,0.00048105582,0.0011439889,0.000008358657,0.00054699247],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00036526856,0.0008631628,0.00078474206,0.00012608546,0.00016065841,0.00007009153,0.0006999205,0.00049923203,0.13682546],"category_scores_gemma":[0.00014657826,0.00080145686,0.00010123915,0.00014496881,0.0011421007,0.0001068297,0.0006392304,0.0007328139,0.0031919002],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042959462,0.0005701575,0.006819202,0.00010073054,0.00006312259,0.0000615801,0.00008471384,0.000041805604,0.00012556589,0.00050967454,0.95485175,0.036728747],"study_design_scores_gemma":[0.0006241721,0.00031390405,0.005654281,0.0000969102,0.00009163666,0.000009585684,0.00013370093,0.00030152654,0.000015609183,0.0021856546,0.98961294,0.0009600869],"about_ca_topic_score_codex":0.0009387144,"about_ca_topic_score_gemma":0.0018349105,"teacher_disagreement_score":0.187181,"about_ca_system_score_codex":0.001422324,"about_ca_system_score_gemma":0.00008173335,"threshold_uncertainty_score":0.99944365},"labels":[],"label_agreement":null},{"id":"W4233012306","doi":"10.32920/ryerson.14649960","title":"The Effects of Temporality and Spatiality Due to Aged Data in LIfe Cycle Assessments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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; Toronto Metropolitan University","funders":"","keywords":"Temporality; Life-cycle assessment; Variance (accounting); Phase (matter); Econometrics; Statistics; Computer science; Mathematics; Epistemology; Economics; Accounting","score_opus":0.01948966393917514,"score_gpt":0.31726314108841175,"score_spread":0.29777347714923663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4233012306","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627924,0.0000912891,0.00047493633,0.00044224857,0.00016052552,0.0010241094,0.00003434648,0.000012636973,0.0014806964],"genre_scores_gemma":[0.9981608,0.00006943763,0.0012280659,0.00023596447,0.000011657746,0.000036905036,0.0000728911,0.000011133176,0.00017317332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752665,0.0005445005,0.00043904092,0.0007466418,0.00044734825,0.0002958348],"domain_scores_gemma":[0.9973349,0.0003332958,0.00014043794,0.0019652369,0.0000040339132,0.00022208238],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0016794387,0.00022523971,0.00038926027,0.000016895587,0.00009899271,0.00009609285,0.00080307585,0.00014916141,0.00027311823],"category_scores_gemma":[0.00090687384,0.0001658764,0.000046900463,0.00012575781,0.00032185754,0.00020896243,0.010014526,0.00038319326,0.0000058069872],"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":[0.000030288375,0.00030563466,0.99048996,0.0003164808,0.000023951055,0.000025720949,0.0004348679,0.00022956541,0.00066764664,0.0000065092822,0.00026427864,0.007205072],"study_design_scores_gemma":[0.00021458516,0.000044026514,0.9969413,0.00003908163,0.00001536903,7.0539693e-7,0.00045631695,0.000584808,0.00069256016,0.0007366668,0.000097915305,0.0001766323],"about_ca_topic_score_codex":0.025385212,"about_ca_topic_score_gemma":0.010012174,"teacher_disagreement_score":0.015373037,"about_ca_system_score_codex":0.0003308957,"about_ca_system_score_gemma":0.000054622837,"threshold_uncertainty_score":0.9979923},"labels":[],"label_agreement":null},{"id":"W4234411616","doi":"10.1520/stp49689s","title":"Thermoplastic Polyolefin Roof Membranes Exposed in the Western United States for Seven Years","year":2011,"lang":"en","type":"book-chapter","venue":"ASTM International eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Polyolefin; Thermoplastic; Roof; Materials science; Composite material; Membrane; Polymer science; Forensic engineering; Engineering; Structural engineering; Chemistry","score_opus":0.02093148554158885,"score_gpt":0.23406816837983674,"score_spread":0.21313668283824788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4234411616","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.19569293,0.000042488722,0.0002254116,0.00045947218,0.00036576611,0.001351919,0.00028703143,0.000047983383,0.801527],"genre_scores_gemma":[0.6227297,0.000019494904,0.00009547767,0.0010627742,0.000078659046,0.00007907895,0.00027046405,0.000056372777,0.37560797],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.998641,0.000031122196,0.00031991838,0.00033615538,0.00041968256,0.00025213664],"domain_scores_gemma":[0.99928963,0.00019570295,0.00015542319,0.00028857015,0.000010211482,0.00006047413],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027036062,0.00027174148,0.00019326876,0.000102130114,0.000052003303,0.000044887165,0.0006493309,0.0001545316,0.0014649889],"category_scores_gemma":[0.000023792742,0.00021413658,0.0001314751,0.000014614565,0.00030551688,0.000083222985,0.00019669914,0.00024970036,0.0001923958],"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":[0.005998227,0.0036381357,0.101323575,0.00090426335,0.003110381,0.0015763597,0.2459362,0.011134343,0.007212745,0.19093603,0.026074005,0.40215573],"study_design_scores_gemma":[0.0020702519,0.00049375976,0.070393324,0.00017611751,0.00011830126,0.000052714,0.0011176688,0.00069200783,0.000522056,0.11013672,0.8130258,0.0012012875],"about_ca_topic_score_codex":0.00054722925,"about_ca_topic_score_gemma":0.0006572382,"teacher_disagreement_score":0.7869518,"about_ca_system_score_codex":0.00029781138,"about_ca_system_score_gemma":0.000015090008,"threshold_uncertainty_score":0.9994478},"labels":[],"label_agreement":null},{"id":"W4235283469","doi":"10.1504/ijgw.2019.096759","title":"How to model a complex national energy system? Developing an integrated energy systems framework for long-term energy and emissions analysis","year":2018,"lang":"en","type":"article","venue":"International Journal of Global Warming","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"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 Alberta","funders":"Alberta Innovates; University of Alberta; Natural Sciences and Engineering Research Council of Canada; Canadian Association of Petroleum Producers; Cenovus Energy","keywords":"Greenhouse gas; Energy planning; Environmental economics; Energy consumption; Energy (signal processing); Baseline (sea); Energy management; Energy system; Efficient energy use; Energy engineering; Energy policy; Environmental resource management; Environmental science; Systems engineering; Engineering; Renewable energy; Economics","score_opus":0.025963232948575,"score_gpt":0.31942117435306083,"score_spread":0.29345794140448583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235283469","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.22107498,0.000036429723,0.77764815,0.0006246082,0.00026582286,0.000046086312,0.00006567539,0.000013759408,0.0002244702],"genre_scores_gemma":[0.97255224,0.000011979124,0.026402729,0.00048280755,0.0003079807,0.000010834594,0.00003272337,0.000012122239,0.00018658658],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979993,0.00008545687,0.0004925573,0.0002990818,0.0008461698,0.0002773944],"domain_scores_gemma":[0.998788,0.000081934006,0.0003523563,0.00012852573,0.00031362497,0.0003355456],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035476487,0.00020462922,0.00030649378,0.00014815925,0.00019384443,0.00026141864,0.0005227709,0.00010729627,0.000035245546],"category_scores_gemma":[0.00019288207,0.00017549754,0.00015084406,0.00033098695,0.0001501553,0.0005488517,0.00022514931,0.00006394192,7.544262e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001065125,0.00069959456,0.46505207,0.00006318281,0.0033864381,0.00017411531,0.0012600212,0.15968439,0.006245243,0.300766,0.002447336,0.05915651],"study_design_scores_gemma":[0.0014254474,0.0006377993,0.1319556,0.00045396664,0.00047999213,0.0007279474,0.002719265,0.83097506,0.0010690183,0.015476629,0.012987127,0.0010921693],"about_ca_topic_score_codex":0.0005501258,"about_ca_topic_score_gemma":0.00059258373,"teacher_disagreement_score":0.75147724,"about_ca_system_score_codex":0.0025762531,"about_ca_system_score_gemma":0.00009477453,"threshold_uncertainty_score":0.71565825},"labels":[],"label_agreement":null},{"id":"W4235672610","doi":"10.5558/tfc2013-109","title":"McGill Professor Awarded Marcus Wallenberg Prize Mangroves Cope with Sea Level Rise by Increasing Soil Height Signs of Forests Adapting to Growing CO<sub>2</sub> Levels LiDAR Best Practices Guide Available Brazil's Climate Investment Program Could China Lead in Saving Tropical Forests?","year":2013,"lang":"en","type":"article","venue":"The Forestry Chronicle","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Canadian Forest Service","funders":"","keywords":"Mangrove; Environmental science; Ecology; Biology","score_opus":0.028950872301536344,"score_gpt":0.29286885114355227,"score_spread":0.2639179788420159,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4235672610","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99267966,0.00018339483,0.000044328837,0.0014731743,0.000037317168,0.0031886715,0.00010262497,0.00009158293,0.0021992458],"genre_scores_gemma":[0.99620765,0.00004862713,0.0023627325,0.00029221017,0.000045745106,0.000507342,0.0000283529,0.000091057045,0.00041625815],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995555,0.00048592803,0.0008458493,0.0008004605,0.00085957337,0.0014532091],"domain_scores_gemma":[0.9978008,0.00032301692,0.0006560016,0.00081275357,0.000028897397,0.00037852835],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011498278,0.000547028,0.0005520194,0.000065376546,0.0006460077,0.00014871029,0.0007400347,0.00020750049,0.00032219663],"category_scores_gemma":[0.00037194943,0.0004009079,0.00012200579,0.00039114396,0.000759376,0.0018412322,0.0008306819,0.0005992817,0.00021901075],"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":[0.00059763074,0.0015364265,0.7735776,0.00033778165,0.00008673925,0.00004210101,0.0011683522,0.0032349864,0.20702796,0.000058071673,0.0030920147,0.009240362],"study_design_scores_gemma":[0.0019706036,0.0017169755,0.85376215,0.00039936873,0.000077091325,0.000043379478,0.0017558886,0.00475241,0.13297941,0.00031803572,0.0015174892,0.00070717605],"about_ca_topic_score_codex":0.011124063,"about_ca_topic_score_gemma":0.009909679,"teacher_disagreement_score":0.080184594,"about_ca_system_score_codex":0.0014737376,"about_ca_system_score_gemma":0.00012430151,"threshold_uncertainty_score":0.99984425},"labels":[],"label_agreement":null},{"id":"W4236046590","doi":"10.24124/2007/bpgub470","title":"Deciphering the source of technological change: Greenhouse gas emission reductions in the British Columbia forest industry between 1990 and 2005.","year":2007,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Catalyst Paper (Canada); Canadian Heritage; University of Northern British Columbia","funders":"","keywords":"Greenhouse gas; Forestry; Geography; Geology","score_opus":0.01802358374648137,"score_gpt":0.2723297229892798,"score_spread":0.25430613924279843,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236046590","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943977,0.00009586331,0.00001067121,0.0002061497,0.000024711659,0.0007217165,0.000006921137,0.00002972048,0.004506525],"genre_scores_gemma":[0.99028957,0.00014646309,0.00009818984,0.000050594437,0.00004093256,0.00006160039,0.000041848532,0.000018605051,0.00925222],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854654,0.00008571204,0.00032688523,0.00032386533,0.00036379747,0.00035319093],"domain_scores_gemma":[0.9993195,0.00012240799,0.0001359575,0.0003390609,0.0000036261451,0.00007942663],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00078093173,0.00015401465,0.00021153716,0.000021956641,0.00044072923,0.00015772713,0.00038824845,0.00068756635,0.00072091183],"category_scores_gemma":[0.00013331028,0.00012838517,0.00005923786,0.00028421727,0.0006178849,0.00014153816,0.00015800951,0.00096038013,0.0000038540607],"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":[0.00000864385,0.0001160778,0.9171023,0.000023691642,0.000006341531,0.000007745606,0.0006385018,0.000015211072,0.00014666178,0.0000014119355,0.001237577,0.080695845],"study_design_scores_gemma":[0.00012773862,0.00005518385,0.9798835,0.000057598027,0.000026691872,0.000020835349,0.015071641,0.000013375633,0.00010490737,0.00053872424,0.003947136,0.00015270393],"about_ca_topic_score_codex":0.09711916,"about_ca_topic_score_gemma":0.30136314,"teacher_disagreement_score":0.20424397,"about_ca_system_score_codex":0.00019653235,"about_ca_system_score_gemma":0.000009537934,"threshold_uncertainty_score":0.9088932},"labels":[],"label_agreement":null},{"id":"W4236539428","doi":"10.5539/jsd.v9n5p207","title":"Balancing Function and Environment toward Sustainable Design: A Building Insulation Case Study","year":2016,"lang":"en","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Sustainability; Life-cycle assessment; Environmental science; Sustainable design; Process (computing); Environmental impact assessment; Computer science; Civil engineering; Architectural engineering; Environmental economics; Engineering","score_opus":0.014321879470161723,"score_gpt":0.2315713394132361,"score_spread":0.21724945994307437,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4236539428","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93267536,0.00009700679,0.06596065,0.00026503872,0.00005050444,0.00083049654,1.8792534e-7,0.000015857957,0.000104894694],"genre_scores_gemma":[0.99145716,0.000030820564,0.006163681,0.000048232945,0.00003780985,0.000031516312,2.280337e-7,0.000024910289,0.0022056277],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99735546,0.00021718742,0.00073895213,0.00034484628,0.00062988803,0.00071365683],"domain_scores_gemma":[0.9989087,0.00012157559,0.00040270644,0.00020957128,0.000054709704,0.00030271875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002679383,0.0002749152,0.00031650544,0.00018708916,0.00045765465,0.00009057784,0.00016085827,0.00008370431,0.00043664474],"category_scores_gemma":[0.00018621213,0.00019232497,0.0000585251,0.00023047476,0.00013994347,0.0013876874,0.00048432138,0.0001690362,0.000014952821],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000770433,0.0017024876,0.8846885,0.00018664995,0.00022527773,0.026890235,0.021431638,0.0050185923,0.008107031,0.00036001945,0.00033765857,0.05028149],"study_design_scores_gemma":[0.003567965,0.001788351,0.7403711,0.000039580926,0.00011671173,0.0026637346,0.2359089,0.000119899785,0.0017947804,0.0042134905,0.008816602,0.00059890206],"about_ca_topic_score_codex":0.00017753184,"about_ca_topic_score_gemma":0.0000025598538,"teacher_disagreement_score":0.21447726,"about_ca_system_score_codex":0.0039067096,"about_ca_system_score_gemma":0.000126026,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W4237258790","doi":"10.32920/ryerson.14669091","title":"How Corporations Deal with Reporting Sustainability: Assessment Using the Multicriteria Logistic Biplot Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"","keywords":"Sustainability; Biplot; Business; Representation (politics); Sustainability organizations; Value (mathematics); Index (typography); Social sustainability; Environmental economics; Management science; Computer science; Economics; Political science","score_opus":0.07847533473974634,"score_gpt":0.33622686343524827,"score_spread":0.25775152869550194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4237258790","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8026857,0.00002294254,0.19189267,0.0010657737,0.00006044756,0.0016043697,0.000009147529,0.0000822559,0.002576696],"genre_scores_gemma":[0.8965241,0.0000045263414,0.10180261,0.00012697643,0.00005018368,0.00016898876,0.00012115677,0.00004460558,0.0011568896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99611413,0.00043108533,0.0008736695,0.0011599656,0.0007668803,0.0006542536],"domain_scores_gemma":[0.99689823,0.00010637457,0.0012313562,0.001486971,0.00007180402,0.00020525561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015757954,0.00051270035,0.0005462292,0.00003694798,0.00060597464,0.00088238425,0.0004813771,0.00024663055,0.00030224852],"category_scores_gemma":[0.00045557838,0.00032686925,0.00019254861,0.00028354677,0.0011880293,0.0003812892,0.002562154,0.0009106966,0.0000013276026],"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":[0.000029598956,0.00088696746,0.7435586,0.00043234945,0.00011635448,0.00020266102,0.0021092412,0.2491997,0.0013640443,0.0002817388,0.000073001815,0.0017457547],"study_design_scores_gemma":[0.0006141627,0.00020532799,0.6973484,0.000069632595,0.0004839284,0.0002727496,0.08120746,0.21291408,0.00048800377,0.0042323866,0.000584423,0.0015794224],"about_ca_topic_score_codex":0.0028414903,"about_ca_topic_score_gemma":0.0005639613,"teacher_disagreement_score":0.093838364,"about_ca_system_score_codex":0.0036872746,"about_ca_system_score_gemma":0.00042814968,"threshold_uncertainty_score":0.99991834},"labels":[],"label_agreement":null},{"id":"W4241687068","doi":"10.24124/2018/58978","title":"Greenhouse gas lifecycle assessment of biochar and biocoal application in British Columbia","year":2018,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","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 Victoria; University of Northern British Columbia","funders":"University of British Columbia; Pacific Institute for Climate Solutions; University of Northern British Columbia","keywords":"Biochar; Greenhouse gas; Carbon sequestration; Environmental science; Biomass (ecology); Waste management; Pellets; Fossil fuel; Raw material; Pyrolysis; Carbon fibers; Coal; Charcoal; Environmental engineering; Pulp and paper industry; Engineering; Carbon dioxide; Chemistry; Agronomy; Materials science","score_opus":0.0039928248387149,"score_gpt":0.25208711989798493,"score_spread":0.24809429505927003,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4241687068","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9907907,0.000043001623,0.000037624977,0.000011160001,0.00004215882,0.0006892906,0.000021812328,0.000018732568,0.008345514],"genre_scores_gemma":[0.9932131,0.00014910859,0.00094103965,0.00002781571,0.000016971204,0.00007179759,0.0002121751,0.000022646214,0.0053453357],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99871266,0.00004104984,0.00033085095,0.00042207402,0.0002770268,0.00021634517],"domain_scores_gemma":[0.9994724,0.000015571772,0.0001517125,0.0002588319,0.0000065281474,0.00009497083],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024862576,0.00012557431,0.00023890697,0.000025743986,0.00006664723,0.00006672572,0.00014918769,0.0001993186,0.0029010891],"category_scores_gemma":[0.000016698563,0.00019158343,0.000045526493,0.00014519176,0.00022459938,0.00014929629,0.000091997266,0.00013004069,0.000032153115],"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":[0.000007462409,0.0003121588,0.9555343,0.00009615783,0.000006576499,0.0000026070825,0.00019144749,0.000003566015,0.0053209863,0.000002661387,0.00086496136,0.03765711],"study_design_scores_gemma":[0.0002605912,0.00014202339,0.99647456,0.000027833383,0.000013782218,0.0000023568136,0.00092214777,0.00022985968,0.00073898013,0.0004397024,0.00055299874,0.00019517525],"about_ca_topic_score_codex":0.13475503,"about_ca_topic_score_gemma":0.57489204,"teacher_disagreement_score":0.44013703,"about_ca_system_score_codex":0.00029256652,"about_ca_system_score_gemma":0.000019583558,"threshold_uncertainty_score":0.9980104},"labels":[],"label_agreement":null},{"id":"W4242674269","doi":"10.32920/ryerson.14646573","title":"Analysis of hourly demand, cost and emission factor from the electricity sector – a tool for renewable energy assessment","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University; Geomechanica (Canada)","funders":"","keywords":"Greenhouse gas; Renewable energy; Electricity; Environmental science; Photovoltaic system; Wind power; Emission intensity; Environmental economics; Meteorology; Engineering; Economics","score_opus":0.013621709661726716,"score_gpt":0.26526105890130514,"score_spread":0.2516393492395784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242674269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409333,0.00016143399,0.056956727,0.00014560769,0.00004875374,0.00056337076,0.00038872604,0.000016165244,0.0007859312],"genre_scores_gemma":[0.9957468,0.00021297137,0.0020947477,0.00021152655,0.000024024517,0.000107985295,0.0004006888,0.000015552412,0.0011857166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980323,0.0001891266,0.0003955983,0.00066524406,0.00040370895,0.00031404287],"domain_scores_gemma":[0.9985211,0.00040919712,0.00023942733,0.0006845186,0.00001494278,0.0001308295],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003666156,0.00028243012,0.0005658578,0.000043715678,0.00015189755,0.00010464016,0.00031771633,0.0002322236,0.0036941762],"category_scores_gemma":[0.00010156248,0.0001896919,0.00033810968,0.00030896804,0.00015032066,0.00011520219,0.0010025759,0.00019705815,3.7915714e-7],"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":[0.000047754907,0.00022502796,0.969099,0.000028820585,0.0006409942,0.0000016377788,0.0003175205,0.009575333,0.014887684,0.000006026162,0.000895696,0.0042745057],"study_design_scores_gemma":[0.00027815072,0.00006990924,0.9493783,0.000014273716,0.00081248046,2.9255102e-7,0.0005100832,0.03201222,0.015058792,0.0005179695,0.0010485154,0.00029901482],"about_ca_topic_score_codex":0.061730936,"about_ca_topic_score_gemma":0.009729313,"teacher_disagreement_score":0.054861978,"about_ca_system_score_codex":0.0009200382,"about_ca_system_score_gemma":0.0000642953,"threshold_uncertainty_score":0.9972166},"labels":[],"label_agreement":null},{"id":"W4242938454","doi":"10.1257/jel.53.4.1017.r13","title":"Book Reviews","year":2015,"lang":"en","type":"article","venue":"Journal of Economic Literature","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Water pricing; Variable pricing; Investment theory; Rational pricing; Water resources; Economics; Business; Water conservation; Finance; Financial economics; Capital asset pricing model","score_opus":0.013183172450997933,"score_gpt":0.25420318035427714,"score_spread":0.2410200079032792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4242938454","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8784933,0.06224665,0.00006563471,0.0025107283,0.0011786569,0.00032337196,0.00000867553,0.000010594872,0.0551624],"genre_scores_gemma":[0.9237568,0.004182902,0.0046383007,0.013851041,0.0014658598,0.000006532635,0.000008617153,0.000043759235,0.05204622],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9992612,0.000063032596,0.0003655941,0.00009095256,0.00008322532,0.00013596712],"domain_scores_gemma":[0.99934,0.000011690609,0.00024729312,0.0001616968,0.000004893558,0.00023443637],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00067414355,0.00009435632,0.0002063942,0.000023585684,0.00002211844,0.000053568525,0.00018635772,0.00005754216,0.0024378782],"category_scores_gemma":[0.000058600992,0.00006720664,0.000120768935,0.0000399209,0.000063946514,0.0008934381,0.00006544586,0.00019367621,0.00045492905],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054003955,0.00005716937,0.036581807,0.000009039266,0.000010113985,0.00005092176,0.0017628135,0.00043155244,0.00014665692,0.00004863849,0.9583627,0.0024845775],"study_design_scores_gemma":[0.0003324425,0.00013380176,0.0056526973,0.000020463183,0.000008359956,0.00020970216,0.000076130316,0.00003147971,0.000119435856,0.0012655554,0.9920656,0.00008431286],"about_ca_topic_score_codex":0.0000038667104,"about_ca_topic_score_gemma":0.0000018347852,"teacher_disagreement_score":0.05806375,"about_ca_system_score_codex":0.00066950294,"about_ca_system_score_gemma":0.000019912644,"threshold_uncertainty_score":0.998474},"labels":[],"label_agreement":null},{"id":"W4243323789","doi":"10.32920/ryerson.14654865","title":"The Application of Two Models of Life Cycle Assessment (LCA) for Transition to the Low-Carbon Economy: a Case Study in the Aluminum Industry","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"","keywords":"Unanimity; Tonne; Life-cycle assessment; Metric (unit); Aluminium; Carbon fibers; Greenhouse gas; Stakeholder; Circular economy; Environmental economics; Environmental science; Mathematics; Engineering; Waste management; Operations management; Materials science; Economics; Metallurgy; Political science; Algorithm; Production (economics); Microeconomics","score_opus":0.020989834223043714,"score_gpt":0.3105415192430791,"score_spread":0.28955168502003537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243323789","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831135,0.000016511813,0.008477238,0.0018165074,0.000031751588,0.004649674,0.000017093695,0.000005733877,0.001871939],"genre_scores_gemma":[0.9979612,0.0000045830943,0.00027219733,0.0002732029,0.000022907669,0.0014188157,0.000011603649,0.000012052651,0.000023413813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998247,0.00033920704,0.00051945343,0.0004021445,0.00027472962,0.00021742814],"domain_scores_gemma":[0.9985432,0.00021718083,0.00019365312,0.00096966955,0.000013156112,0.000063135965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019164516,0.00018885067,0.00026105522,0.0000212673,0.0001275914,0.000050575723,0.00050814863,0.00014918116,0.00003900106],"category_scores_gemma":[0.000021331045,0.000106084226,0.00012125715,0.00014495585,0.00017775643,0.00009886475,0.00044634042,0.0004651461,5.513116e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069228525,0.0020400847,0.056618616,0.000116027695,0.00007151113,0.000012602696,0.0252454,0.907375,0.0002620458,0.00023362014,0.00003174976,0.007924105],"study_design_scores_gemma":[0.0012684676,0.00038999098,0.15253398,0.000029944911,0.00015604662,0.00001860274,0.272943,0.5621251,0.0006090031,0.009463679,0.000056464665,0.00040578668],"about_ca_topic_score_codex":0.013696119,"about_ca_topic_score_gemma":0.010052807,"teacher_disagreement_score":0.34524995,"about_ca_system_score_codex":0.00044766796,"about_ca_system_score_gemma":0.00008388927,"threshold_uncertainty_score":0.99287176},"labels":[],"label_agreement":null},{"id":"W4243617092","doi":"10.1088/1748-9326/ab562b","title":"Corrigendum: Revisiting IPCC Tier 1 coefficients for soil organic and biomass carbon storage in agroforestry systems (2018 Environ. Res. Lett. 13 124020)","year":2020,"lang":"en","type":"erratum","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Environmental science; Biomass (ecology); Soil carbon; Agroforestry; Carbon fibers; Soil science; Agronomy; Soil water; Computer science; Biology","score_opus":0.026773007217793323,"score_gpt":0.27222827869447325,"score_spread":0.24545527147667992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4243617092","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98085105,0.0036911042,0.00016712573,0.002463516,0.0045745964,0.0046498277,0.00048445506,0.00009048561,0.0030278442],"genre_scores_gemma":[0.9437379,0.0017005304,0.000115799216,0.00090158166,0.0015332196,0.0005782876,0.001349685,0.00044770056,0.049635243],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99009085,0.0010517163,0.001135967,0.0024406714,0.0027191013,0.002561702],"domain_scores_gemma":[0.9970819,0.00028444146,0.00040291747,0.0012779699,0.000005276861,0.00094749365],"candidate_categories":["metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0025400973,0.0010892766,0.001113722,0.0003659291,0.0007038082,0.00030448742,0.0012338568,0.0009568399,0.0008448872],"category_scores_gemma":[0.00040940574,0.0011241839,0.00026223977,0.00057250896,0.0027463366,0.00043994884,0.0024141085,0.0031121317,0.00041689965],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0005445492,0.00086898933,0.16408996,0.0018913229,0.00020826515,0.0012699787,0.0025271545,0.0011753368,0.10386586,0.0000065030645,0.71842563,0.005126435],"study_design_scores_gemma":[0.004635669,0.0015028781,0.20674525,0.0008524456,0.00021106192,0.000114243514,0.0074032713,0.022761704,0.0014250505,0.000094511095,0.75002676,0.004227148],"about_ca_topic_score_codex":0.001832343,"about_ca_topic_score_gemma":0.00014502874,"teacher_disagreement_score":0.10244081,"about_ca_system_score_codex":0.0071456837,"about_ca_system_score_gemma":0.0000839924,"threshold_uncertainty_score":0.99996763},"labels":[],"label_agreement":null},{"id":"W4246257042","doi":"10.5194/hessd-10-11613-2013","title":"Recent evolution of China's virtual water trade: analysis of selected crops and considerations for policy","year":2013,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Institute for Sustainable Development","funders":"Organization Department of the Central Committee of the Communist Party of China; Fundamental Research Funds for the Central Universities; Central European University; National Natural Science Foundation of China","keywords":"Virtual water; Water scarcity; China; Business; Grain trade; Water use; Crop; Water resources; Agricultural economics; Environmental science; Scarcity; Water supply; Distribution (mathematics); Supply chain; Natural resource economics; Agricultural engineering; Economics; Geography; Environmental engineering; Agronomy; Engineering; Ecology; Biology; Mathematics","score_opus":0.010390744222781889,"score_gpt":0.2533326392995175,"score_spread":0.2429418950767356,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246257042","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99487114,0.000035117075,0.0018670919,0.0015328098,0.000024941424,0.000795422,0.00012383466,0.00001512687,0.0007344907],"genre_scores_gemma":[0.99783516,0.00009052059,0.001471676,0.00003631879,0.000011927447,0.000048516355,0.000103170576,0.000010150203,0.0003925699],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99865216,0.00009100294,0.00044963812,0.00035758948,0.00020754029,0.0002420521],"domain_scores_gemma":[0.9993268,0.00006834071,0.00014577199,0.00034178974,0.000018782548,0.00009847525],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022584137,0.00019028287,0.00044151087,0.00016682858,0.00007933097,0.000021215546,0.000097018485,0.00018611521,0.0029516716],"category_scores_gemma":[0.00018198852,0.00013990776,0.00014721343,0.00027928938,0.00047550988,0.00011180343,0.00037550466,0.00013230665,0.0000029196092],"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":[0.00019689769,0.0019477844,0.6674755,0.00038826076,0.002851482,0.0000012359205,0.011740301,0.1087582,0.18192579,0.0071260054,0.0037267208,0.013861793],"study_design_scores_gemma":[0.0002526632,0.00014751469,0.95796555,0.000004428145,0.000533764,9.2380014e-7,0.00023186617,0.011912814,0.016636454,0.011975679,0.00014028746,0.00019806658],"about_ca_topic_score_codex":0.00700108,"about_ca_topic_score_gemma":0.00070396764,"teacher_disagreement_score":0.29049,"about_ca_system_score_codex":0.0006520127,"about_ca_system_score_gemma":0.000048410595,"threshold_uncertainty_score":0.9996114},"labels":[],"label_agreement":null},{"id":"W4246757149","doi":"10.5194/acp-2017-1094-supplement","title":"Supplementary material to \"Estimates of Exceedances of Critical Loads for Acidifying Deposition in Alberta and Saskatchewan\"","year":2018,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Deposition (geology); Economics; Environmental science; Geology; Geomorphology","score_opus":0.011468646525690285,"score_gpt":0.2920573960276402,"score_spread":0.2805887495019499,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4246757149","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9963381,0.000008260067,0.001650661,0.00042986413,0.00011519448,0.0007800413,0.00040623042,0.000004423371,0.00026718996],"genre_scores_gemma":[0.96403325,0.0000048213624,0.03562874,0.0000641898,0.000025611873,0.00007736464,0.00011827772,0.000012695883,0.00003507102],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99867284,0.000037573118,0.00044403755,0.00038793162,0.00018635785,0.00027126292],"domain_scores_gemma":[0.99942356,0.00016216954,0.00008126979,0.00022793273,0.000007749656,0.00009732183],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029332007,0.00019338443,0.0003453175,0.000044325057,0.000035620895,0.000019930247,0.0001751343,0.00013232788,0.002379187],"category_scores_gemma":[0.00009848807,0.0001785833,0.00005861123,0.00003931139,0.0005191194,0.00011136474,0.00094017264,0.00007306552,0.0000016976187],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007917542,0.0007668147,0.82471126,0.0027714535,0.000034013217,0.0000029048158,0.00846133,0.0004180378,0.15817115,0.000059246606,0.0006022506,0.0032097881],"study_design_scores_gemma":[0.0005250887,0.0007028975,0.19971044,0.00017939457,0.00007490973,0.000004085745,0.003249598,0.0010055206,0.78039145,0.013691672,0.000048265192,0.00041666417],"about_ca_topic_score_codex":0.029252652,"about_ca_topic_score_gemma":0.010995337,"teacher_disagreement_score":0.62500083,"about_ca_system_score_codex":0.00019717673,"about_ca_system_score_gemma":0.000015856556,"threshold_uncertainty_score":0.9985328},"labels":[],"label_agreement":null},{"id":"W4248393361","doi":"10.5194/egusphere-egu21-13487","title":"Evaluating RCM Added Value in Climate Change Projections","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Environment and Climate Change Canada","funders":"","keywords":"Downscaling; Climate change; Context (archaeology); GCM transcription factors; Value (mathematics); Climate model; Climatology; General Circulation Model; Environmental science; Added value; Representative Concentration Pathways; Perspective (graphical); Variety (cybernetics); Computer science; Economics; Geography; Ecology; Geology","score_opus":0.09467720986555711,"score_gpt":0.3690136277283908,"score_spread":0.2743364178628337,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248393361","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9625492,0.00007998415,0.000055649725,0.00036835452,0.00026813938,0.0014214149,0.000016378515,0.00007599541,0.03516485],"genre_scores_gemma":[0.99179065,0.00016111617,0.006167538,0.000342048,0.000074485324,0.00057212624,0.000072971394,0.000031282845,0.00078775827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973133,0.0003312925,0.0004222932,0.0008348641,0.0004980428,0.00060017273],"domain_scores_gemma":[0.9989584,0.000051476898,0.00012475002,0.0007288798,0.0000060529374,0.0001304093],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011144254,0.0003151138,0.00033040863,0.00006536314,0.00014386965,0.00010127846,0.00030495203,0.00027426032,0.008176924],"category_scores_gemma":[0.00016530133,0.00030148643,0.0001582575,0.0002695119,0.00016955203,0.00030359015,0.0031153497,0.0006671146,0.00017942888],"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":[0.00003977087,0.0011423597,0.9153782,0.0003582232,0.00002974907,0.00007686696,0.010181512,0.028285582,0.0025637196,0.00012390126,0.00020409879,0.04161599],"study_design_scores_gemma":[0.00046427874,0.00012061537,0.95293427,0.00014407624,0.00004562773,0.000010468308,0.0048927874,0.03814188,0.00088386645,0.0014568855,0.00020783395,0.0006974436],"about_ca_topic_score_codex":0.009221453,"about_ca_topic_score_gemma":0.0018994849,"teacher_disagreement_score":0.040918544,"about_ca_system_score_codex":0.0016265075,"about_ca_system_score_gemma":0.000038711663,"threshold_uncertainty_score":0.99994373},"labels":[],"label_agreement":null},{"id":"W4248411250","doi":"10.32920/ryerson.14654865.v1","title":"The Application of Two Models of Life Cycle Assessment (LCA) for Transition to the Low-Carbon Economy: a Case Study in the Aluminum Industry","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"","keywords":"Unanimity; Tonne; Life-cycle assessment; Metric (unit); Aluminium; Greenhouse gas; Carbon fibers; Stakeholder; Environmental economics; Environmental science; Mathematics; Waste management; Engineering; Operations management; Economics; Materials science; Metallurgy; Political science; Production (economics); Algorithm; Microeconomics","score_opus":0.020989834223043714,"score_gpt":0.3105415192430791,"score_spread":0.28955168502003537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248411250","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9831135,0.000016511813,0.008477238,0.0018165074,0.000031751588,0.004649674,0.000017093695,0.000005733877,0.001871939],"genre_scores_gemma":[0.9979612,0.0000045830943,0.00027219733,0.0002732029,0.000022907669,0.0014188157,0.000011603649,0.000012052651,0.000023413813],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998247,0.00033920704,0.00051945343,0.0004021445,0.00027472962,0.00021742814],"domain_scores_gemma":[0.9985432,0.00021718083,0.00019365312,0.00096966955,0.000013156112,0.000063135965],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019164516,0.00018885067,0.00026105522,0.0000212673,0.0001275914,0.000050575723,0.00050814863,0.00014918116,0.00003900106],"category_scores_gemma":[0.000021331045,0.000106084226,0.00012125715,0.00014495585,0.00017775643,0.00009886475,0.00044634042,0.0004651461,5.513116e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000069228525,0.0020400847,0.056618616,0.000116027695,0.00007151113,0.000012602696,0.0252454,0.907375,0.0002620458,0.00023362014,0.00003174976,0.007924105],"study_design_scores_gemma":[0.0012684676,0.00038999098,0.15253398,0.000029944911,0.00015604662,0.00001860274,0.272943,0.5621251,0.0006090031,0.009463679,0.000056464665,0.00040578668],"about_ca_topic_score_codex":0.013696119,"about_ca_topic_score_gemma":0.010052807,"teacher_disagreement_score":0.34524995,"about_ca_system_score_codex":0.00044766796,"about_ca_system_score_gemma":0.00008388927,"threshold_uncertainty_score":0.99287176},"labels":[],"label_agreement":null},{"id":"W4248439955","doi":"10.1007/s11367-007-0328-2","title":"Selection of a remediation scenario for a diesel-contaminated site using LCA","year":2007,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Environmental remediation; Environmental science; Groundwater; Groundwater remediation; Contamination; Diesel fuel; Environmental engineering; Waste management; Engineering; Geotechnical engineering; Ecology","score_opus":0.015273739379624144,"score_gpt":0.3218953211572638,"score_spread":0.3066215817776397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248439955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9701369,0.000011626527,0.028405426,0.0006235313,0.00026968302,0.00018764722,0.0000044982885,0.0000039111155,0.00035678325],"genre_scores_gemma":[0.99471414,0.000011354007,0.004880657,0.00018150314,0.00015022849,0.0000018826247,0.0000031636762,0.000007822155,0.000049274662],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99855536,0.00004946177,0.00050458126,0.00008793393,0.0006500209,0.0001526364],"domain_scores_gemma":[0.9990268,0.00016802712,0.0005577898,0.00007877194,0.00009370978,0.000074916934],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017450994,0.00008345895,0.00013420361,0.00006214686,0.0000755793,0.000024734667,0.00026821732,0.000036518948,0.00019699338],"category_scores_gemma":[0.00017047813,0.00006045898,0.000106802836,0.000099865036,0.000095800555,0.00031136608,0.00008865604,0.00012465184,0.0000020195614],"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":[0.0008253728,0.0005813285,0.7883087,0.000014679345,0.00022518387,0.000008958813,0.00144165,0.022177694,0.17334145,0.00021404224,0.0003271572,0.01253377],"study_design_scores_gemma":[0.0010808768,0.00030178047,0.9533659,0.000024526802,0.00004944734,0.00003809477,0.00088320195,0.032130685,0.010305681,0.00095223874,0.0007695904,0.000097950346],"about_ca_topic_score_codex":0.0002304829,"about_ca_topic_score_gemma":0.00014268045,"teacher_disagreement_score":0.16505723,"about_ca_system_score_codex":0.0011519259,"about_ca_system_score_gemma":0.00006262419,"threshold_uncertainty_score":0.3012246},"labels":[],"label_agreement":null},{"id":"W4248659613","doi":"10.31235/osf.io/tqsc3","title":"A comprehensive set of global scenarios of housing, mobility, and material efficiency for material cycles and energy systems modelling","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Industrial ecology; Life-cycle assessment; Scenario analysis; Efficient energy use; Environmental economics; Computer science; Environmental resource management; Sustainability; Environmental science; Engineering; Business; Ecology; Economics; Production (economics)","score_opus":0.02476671511278439,"score_gpt":0.2596955144561016,"score_spread":0.23492879934331723,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4248659613","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9878657,0.00009101358,0.009621989,0.00003745821,0.00025966213,0.0006872087,0.00123148,0.00002509878,0.0001803765],"genre_scores_gemma":[0.9976657,0.00007306904,0.0020722079,0.000018319677,0.00004859219,0.000033185963,0.000059395024,0.000016712456,0.000012840453],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982039,0.00009449682,0.0005525857,0.00060692226,0.00026983523,0.00027228566],"domain_scores_gemma":[0.99922246,0.000040866715,0.00027353258,0.00030612515,0.000015616972,0.00014137806],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016899902,0.0003049158,0.00063348986,0.000015482803,0.00006803627,0.00006490187,0.00020719791,0.00022956282,0.0000816031],"category_scores_gemma":[0.000012330639,0.00027193793,0.000085851774,0.000050065744,0.00072677864,0.00008746364,0.0016833785,0.0000701291,3.8496276e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002520712,0.00080715877,0.11478187,0.012354244,0.00022428416,0.000012867976,0.002834449,0.792054,0.070259176,0.0013786537,0.00022346602,0.0025491365],"study_design_scores_gemma":[0.0023251863,0.0014053418,0.044364918,0.00040404795,0.00035478853,0.00003063144,0.004796803,0.90024304,0.028945668,0.014960951,0.0005772067,0.001591414],"about_ca_topic_score_codex":0.01140594,"about_ca_topic_score_gemma":0.000056799436,"teacher_disagreement_score":0.10818907,"about_ca_system_score_codex":0.0002295173,"about_ca_system_score_gemma":0.000026144537,"threshold_uncertainty_score":0.9999733},"labels":[],"label_agreement":null},{"id":"W4249319905","doi":"10.32920/14656524","title":"Optimal Replacement, Retrofit, and Management of a Fleet of Assets Under Regulations of an Emissions Trading System","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Purchasing; Greenhouse gas; Business; Emissions trading; Industrial organization; Fixed asset; Environmental economics; Finance; Natural resource economics; Commerce; Production (economics); Economics; Microeconomics","score_opus":0.01863779162703772,"score_gpt":0.2767780907742178,"score_spread":0.25814029914718006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249319905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983865,0.00005679811,0.0029739102,0.000046173016,0.00004627908,0.00057852967,0.00003818917,0.000018092776,0.012376981],"genre_scores_gemma":[0.97521734,0.000049304334,0.023880146,0.000005236181,0.0000043422083,0.00001880519,0.000054468674,0.000015003033,0.00075533893],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980859,0.0001370195,0.0006513041,0.00049093383,0.00043602157,0.0001988278],"domain_scores_gemma":[0.9985946,0.000032984404,0.00038074126,0.0008365999,0.000011223825,0.00014385278],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005382577,0.00020903001,0.00044032096,0.00005411916,0.00006128951,0.000015874157,0.00022619829,0.00015755945,0.0009048644],"category_scores_gemma":[0.000011378939,0.00019413512,0.000120140496,0.00014239988,0.00030537325,0.0001586048,0.0011671024,0.00014850088,4.7638045e-7],"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":[0.0004848971,0.003471564,0.7010395,0.017346442,0.0013367943,0.000062193234,0.008803161,0.17557465,0.079166934,0.007942599,0.00069134135,0.0040799067],"study_design_scores_gemma":[0.00070692576,0.00027559797,0.9207129,0.0007971183,0.0003082969,0.00001347047,0.032047424,0.023392277,0.020954786,0.00036506445,0.00002550249,0.00040063614],"about_ca_topic_score_codex":0.00052453036,"about_ca_topic_score_gemma":0.00002955929,"teacher_disagreement_score":0.21967338,"about_ca_system_score_codex":0.00041806386,"about_ca_system_score_gemma":0.00001953349,"threshold_uncertainty_score":0.99076307},"labels":[],"label_agreement":null},{"id":"W4249887079","doi":"10.32920/ryerson.14649960.v1","title":"The Effects of Temporality and Spatiality Due to Aged Data in LIfe Cycle Assessments","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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; Toronto Metropolitan University","funders":"","keywords":"Temporality; Life-cycle assessment; Variance (accounting); Econometrics; Computer science; Statistics; Mathematics; Economics; Epistemology; Accounting","score_opus":0.01948966393917514,"score_gpt":0.31726314108841175,"score_spread":0.29777347714923663,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4249887079","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99627924,0.0000912891,0.00047493633,0.00044224857,0.00016052552,0.0010241094,0.00003434648,0.000012636973,0.0014806964],"genre_scores_gemma":[0.9981608,0.00006943763,0.0012280659,0.00023596447,0.000011657746,0.000036905036,0.0000728911,0.000011133176,0.00017317332],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99752665,0.0005445005,0.00043904092,0.0007466418,0.00044734825,0.0002958348],"domain_scores_gemma":[0.9973349,0.0003332958,0.00014043794,0.0019652369,0.0000040339132,0.00022208238],"candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.0016794387,0.00022523971,0.00038926027,0.000016895587,0.00009899271,0.00009609285,0.00080307585,0.00014916141,0.00027311823],"category_scores_gemma":[0.00090687384,0.0001658764,0.000046900463,0.00012575781,0.00032185754,0.00020896243,0.010014526,0.00038319326,0.0000058069872],"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":[0.000030288375,0.00030563466,0.99048996,0.0003164808,0.000023951055,0.000025720949,0.0004348679,0.00022956541,0.00066764664,0.0000065092822,0.00026427864,0.007205072],"study_design_scores_gemma":[0.00021458516,0.000044026514,0.9969413,0.00003908163,0.00001536903,7.0539693e-7,0.00045631695,0.000584808,0.00069256016,0.0007366668,0.000097915305,0.0001766323],"about_ca_topic_score_codex":0.025385212,"about_ca_topic_score_gemma":0.010012174,"teacher_disagreement_score":0.015373037,"about_ca_system_score_codex":0.0003308957,"about_ca_system_score_gemma":0.000054622837,"threshold_uncertainty_score":0.9979923},"labels":[],"label_agreement":null},{"id":"W4250126533","doi":"10.32920/ryerson.14669091.v1","title":"How Corporations Deal with Reporting Sustainability: Assessment Using the Multicriteria Logistic Biplot Approach","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"","keywords":"Sustainability; Biplot; Business; Representation (politics); Sustainability organizations; Environmental economics; Index (typography); Value (mathematics); Social sustainability; Management science; Computer science; Economics; Political science","score_opus":0.07847533473974634,"score_gpt":0.33622686343524827,"score_spread":0.25775152869550194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250126533","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8026857,0.00002294254,0.19189267,0.0010657737,0.00006044756,0.0016043697,0.000009147529,0.0000822559,0.002576696],"genre_scores_gemma":[0.8965241,0.0000045263414,0.10180261,0.00012697643,0.00005018368,0.00016898876,0.00012115677,0.00004460558,0.0011568896],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99611413,0.00043108533,0.0008736695,0.0011599656,0.0007668803,0.0006542536],"domain_scores_gemma":[0.99689823,0.00010637457,0.0012313562,0.001486971,0.00007180402,0.00020525561],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015757954,0.00051270035,0.0005462292,0.00003694798,0.00060597464,0.00088238425,0.0004813771,0.00024663055,0.00030224852],"category_scores_gemma":[0.00045557838,0.00032686925,0.00019254861,0.00028354677,0.0011880293,0.0003812892,0.002562154,0.0009106966,0.0000013276026],"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":[0.000029598956,0.00088696746,0.7435586,0.00043234945,0.00011635448,0.00020266102,0.0021092412,0.2491997,0.0013640443,0.0002817388,0.000073001815,0.0017457547],"study_design_scores_gemma":[0.0006141627,0.00020532799,0.6973484,0.000069632595,0.0004839284,0.0002727496,0.08120746,0.21291408,0.00048800377,0.0042323866,0.000584423,0.0015794224],"about_ca_topic_score_codex":0.0028414903,"about_ca_topic_score_gemma":0.0005639613,"teacher_disagreement_score":0.093838364,"about_ca_system_score_codex":0.0036872746,"about_ca_system_score_gemma":0.00042814968,"threshold_uncertainty_score":0.99991834},"labels":[],"label_agreement":null},{"id":"W4250292534","doi":"10.32920/ryerson.14646573.v1","title":"Analysis of hourly demand, cost and emission factor from the electricity sector – a tool for renewable energy assessment","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University; Geomechanica (Canada)","funders":"","keywords":"Greenhouse gas; Renewable energy; Electricity; Environmental science; Photovoltaic system; Wind power; Environmental economics; Meteorology; Econometrics; Engineering; Economics","score_opus":0.013621709661726716,"score_gpt":0.26526105890130514,"score_spread":0.2516393492395784,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250292534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9409333,0.00016143399,0.056956727,0.00014560769,0.00004875374,0.00056337076,0.00038872604,0.000016165244,0.0007859312],"genre_scores_gemma":[0.9957468,0.00021297137,0.0020947477,0.00021152655,0.000024024517,0.000107985295,0.0004006888,0.000015552412,0.0011857166],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980323,0.0001891266,0.0003955983,0.00066524406,0.00040370895,0.00031404287],"domain_scores_gemma":[0.9985211,0.00040919712,0.00023942733,0.0006845186,0.00001494278,0.0001308295],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003666156,0.00028243012,0.0005658578,0.000043715678,0.00015189755,0.00010464016,0.00031771633,0.0002322236,0.0036941762],"category_scores_gemma":[0.00010156248,0.0001896919,0.00033810968,0.00030896804,0.00015032066,0.00011520219,0.0010025759,0.00019705815,3.7915714e-7],"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":[0.000047754907,0.00022502796,0.969099,0.000028820585,0.0006409942,0.0000016377788,0.0003175205,0.009575333,0.014887684,0.000006026162,0.000895696,0.0042745057],"study_design_scores_gemma":[0.00027815072,0.00006990924,0.9493783,0.000014273716,0.00081248046,2.9255102e-7,0.0005100832,0.03201222,0.015058792,0.0005179695,0.0010485154,0.00029901482],"about_ca_topic_score_codex":0.061730936,"about_ca_topic_score_gemma":0.009729313,"teacher_disagreement_score":0.054861978,"about_ca_system_score_codex":0.0009200382,"about_ca_system_score_gemma":0.0000642953,"threshold_uncertainty_score":0.9972166},"labels":[],"label_agreement":null},{"id":"W4250540959","doi":"10.32920/ryerson.14645340","title":"A life cycle assessment model of Canadian residential dwellings and building stocks","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"","keywords":"Benchmarking; Life-cycle assessment; Interdependence; Environmental economics; Industrial ecology; Engineering; Architectural engineering; Environmental resource management; Computer science; Environmental science; Business; Production (economics); Economics","score_opus":0.015412773408808913,"score_gpt":0.26158417243241233,"score_spread":0.2461713990236034,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250540959","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9765608,0.00005870139,0.0062465216,0.00060495833,0.00006844116,0.00037274597,0.000025925448,0.000016111991,0.016045842],"genre_scores_gemma":[0.9767788,0.00013789411,0.022033865,0.0003000122,0.000016762682,0.00001929756,0.0000166495,0.000020189835,0.0006765432],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982396,0.00006461749,0.0003528328,0.0005692982,0.00038698487,0.00038667241],"domain_scores_gemma":[0.9986404,0.000023508075,0.00012096312,0.00048048023,0.000008163508,0.0007264658],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003919174,0.00023967134,0.00032679868,0.00012966337,0.000122666,0.00009408998,0.0002618761,0.0002382662,0.002213213],"category_scores_gemma":[0.000073173185,0.00024422436,0.000106233834,0.00013367218,0.00026492006,0.00017194767,0.0014260169,0.00041729352,0.0000036069935],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014091358,0.00015791309,0.13661635,0.00020244486,0.0000665716,0.00002396867,0.0020987368,0.8481851,0.009750712,0.00030630312,0.0009537501,0.0016240587],"study_design_scores_gemma":[0.00046363345,0.00007295268,0.2566722,0.000091915106,0.00012745497,0.0000054418238,0.0026697423,0.72501516,0.004327702,0.009363201,0.00028345996,0.000907132],"about_ca_topic_score_codex":0.5130068,"about_ca_topic_score_gemma":0.15399127,"teacher_disagreement_score":0.35901555,"about_ca_system_score_codex":0.0008352924,"about_ca_system_score_gemma":0.0003750964,"threshold_uncertainty_score":0.9986989},"labels":[],"label_agreement":null},{"id":"W4250756245","doi":"10.1007/978-3-319-95867-5_73","title":"Material Footprint and Its Role in Agenda 2030","year":2020,"lang":"en","type":"book-chapter","venue":"Encyclopedia of the UN sustainable development goals","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Footprint; Ecological footprint; Political science; Environmental science; Geography; Archaeology; Sustainable development; Law","score_opus":0.0064332324409203225,"score_gpt":0.19413944915967593,"score_spread":0.18770621671875562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4250756245","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.35331157,0.00037119878,0.0000030705564,0.000404649,0.00016057336,0.0015052164,0.000020259868,0.000030856892,0.64419264],"genre_scores_gemma":[0.3893775,0.0006265411,0.00049566966,0.00021049818,0.00006138661,0.0000665111,0.000024059082,0.00008780897,0.60905004],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972932,0.00007501516,0.000762884,0.00065350987,0.0005902009,0.0006252397],"domain_scores_gemma":[0.9989692,0.000048710837,0.00034249303,0.00043655114,0.000017533312,0.00018551896],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005199569,0.0005178532,0.0005772165,0.00008328663,0.00018854853,0.000036212936,0.0006579423,0.0002953253,0.003165251],"category_scores_gemma":[0.00013555099,0.0004224965,0.00011476505,0.00011512157,0.0002673172,0.00016530472,0.0025435027,0.0003940514,0.00009998282],"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":[0.0030251185,0.0026230703,0.3886362,0.011186317,0.0016745019,0.004519323,0.1155976,0.0027522536,0.010419805,0.16328658,0.023833064,0.27244616],"study_design_scores_gemma":[0.0006895888,0.0000961123,0.115978405,0.00010824196,0.000059551105,0.000011146799,0.0018254622,0.000013504231,0.0075649587,0.027748778,0.8448931,0.0010111495],"about_ca_topic_score_codex":0.00012812637,"about_ca_topic_score_gemma":0.000039520524,"teacher_disagreement_score":0.82106006,"about_ca_system_score_codex":0.001160754,"about_ca_system_score_gemma":0.0001611826,"threshold_uncertainty_score":0.9998227},"labels":[],"label_agreement":null},{"id":"W4251331043","doi":"10.18280/ijsdp.160208","title":"Energy Optimization and Environmental Impact of an Office Building at Biskra City, Algeria: Life Cycle Assessment, Applied to the Building Envelope in Hot and Dry Climate","year":2021,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","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":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Sustainability; Environmental impact assessment; Work (physics); Energy consumption; Building envelope; Environmental science; Consumption (sociology); Reuse; Civil engineering; Engineering; Environmental economics; Architectural engineering; Waste management; Production (economics); Geography; Meteorology; Thermal","score_opus":0.007923726789384892,"score_gpt":0.2665744365040246,"score_spread":0.2586507097146397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251331043","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995056,0.0001885595,0.0042797574,0.00010041123,0.000047242913,0.00010540555,0.0000061339106,0.0000035246921,0.00021302096],"genre_scores_gemma":[0.98318607,0.00018214765,0.01638633,0.00012273194,0.000032334254,0.0000050489302,0.000020100519,0.000011560183,0.00005367411],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857384,0.00006982947,0.00044372483,0.00023140502,0.0003895807,0.000291593],"domain_scores_gemma":[0.99936956,0.00009290203,0.00024581564,0.00007854555,0.00002490864,0.00018826307],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007640646,0.00016481116,0.00021379032,0.00014775724,0.00019737055,0.000114352384,0.00017397376,0.000056897716,0.00014613236],"category_scores_gemma":[0.00005766549,0.00013526647,0.000030506584,0.00014170042,0.000097563665,0.0005220662,0.00069711945,0.00013880561,2.3095245e-7],"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":[0.00051764457,0.00017452371,0.72973,0.000025753632,0.0001258275,0.00045912078,0.0061836713,0.24174969,0.010265548,0.00020344586,0.000021548867,0.010543191],"study_design_scores_gemma":[0.00077305344,0.0000855242,0.97695583,0.000043744007,0.0000146931925,0.000100458215,0.011900187,0.0066055986,0.0028177453,0.00012736929,0.00038043427,0.00019537582],"about_ca_topic_score_codex":0.0001461311,"about_ca_topic_score_gemma":0.000017594157,"teacher_disagreement_score":0.24722579,"about_ca_system_score_codex":0.0008238344,"about_ca_system_score_gemma":0.0000881577,"threshold_uncertainty_score":0.55160064},"labels":[],"label_agreement":null},{"id":"W4251345699","doi":"10.1007/978-3-319-56475-3_38","title":"Report Template","year":2017,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Computer science; Life-cycle assessment; Production (economics)","score_opus":0.016919259207761227,"score_gpt":0.2532857851477654,"score_spread":0.23636652594000418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251345699","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000758937,0.000019494459,0.000031966847,0.00016537217,0.00012897947,0.00024199623,0.000006940788,0.00005230589,0.998594],"genre_scores_gemma":[0.013498625,0.000033643086,0.00028746744,0.00013302945,0.000053377815,0.0000040287186,0.000026859416,0.00003799155,0.98592496],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986627,0.0000049181676,0.00025979787,0.00046825,0.0003552012,0.00024910958],"domain_scores_gemma":[0.9983477,0.000011869967,0.00023072514,0.001240942,0.0000023242887,0.00016644558],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022850028,0.00027546112,0.00024893633,0.000015808097,0.00021506868,0.000047921712,0.00035014126,0.00025980434,0.08457868],"category_scores_gemma":[0.000030263644,0.0002329909,0.00015603311,0.0000026002508,0.0005225746,0.00018525722,0.00053159235,0.00024530015,0.00650261],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001100432,0.0002755157,0.16065189,0.0001526147,0.00030641543,0.017277515,0.00046798383,0.00009376869,0.00051552046,0.038505133,0.610774,0.17086959],"study_design_scores_gemma":[0.00007159737,0.000031402178,0.013386755,0.000009601369,0.000021650672,0.0001666322,0.000003342719,0.0000033475608,0.000050612558,0.031921923,0.95400643,0.00032669326],"about_ca_topic_score_codex":0.00028067967,"about_ca_topic_score_gemma":0.00013772235,"teacher_disagreement_score":0.34323242,"about_ca_system_score_codex":0.00042777444,"about_ca_system_score_gemma":0.000011437737,"threshold_uncertainty_score":0.9942709},"labels":[],"label_agreement":null},{"id":"W4251461150","doi":"10.1007/s11367-011-0294-6","title":"USEtox fate and ecotoxicity factors for comparative assessment of toxic emissions in life cycle analysis: sensitivity to key chemical properties","year":2011,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":192,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Ecotoxicity; Key (lock); Sensitivity (control systems); Environmental science; Environmental chemistry; Chemistry; Engineering; Biology; Ecology; Toxicity","score_opus":0.05006353110826041,"score_gpt":0.33400696521187756,"score_spread":0.28394343410361716,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4251461150","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957493,0.000016172013,0.0024413245,0.00070176495,0.00007426764,0.00033791194,0.000030639156,0.00000439928,0.0006442196],"genre_scores_gemma":[0.9965733,0.000016987273,0.0031125322,0.00022992518,0.000028199647,0.000013295153,0.0000032034482,0.000007313603,0.00001522375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99818325,0.00018496277,0.00061564695,0.00019251171,0.00062253966,0.00020106598],"domain_scores_gemma":[0.99891883,0.00021676697,0.00038170765,0.00016837823,0.00005769587,0.0002566397],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010460683,0.00016202232,0.00039917152,0.000083058294,0.000066625515,0.0000346769,0.000353941,0.000046242247,0.00028262511],"category_scores_gemma":[0.00016813546,0.00010578147,0.0001678737,0.00014620635,0.0001953473,0.00036293743,0.00032581412,0.00018604042,9.846232e-7],"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":[0.0002625228,0.0010035618,0.92795867,0.000010369598,0.0006086165,0.000006304219,0.0058958884,0.019112261,0.044656247,0.000110941684,0.00006024749,0.00031437108],"study_design_scores_gemma":[0.00047576355,0.00018076452,0.96651375,0.000023150931,0.00009857333,0.0000040204086,0.004745065,0.016153824,0.011313101,0.00034215095,0.00002608653,0.00012373319],"about_ca_topic_score_codex":0.00080122537,"about_ca_topic_score_gemma":0.0005143514,"teacher_disagreement_score":0.0385551,"about_ca_system_score_codex":0.00073676556,"about_ca_system_score_gemma":0.00009103455,"threshold_uncertainty_score":0.43136433},"labels":[],"label_agreement":null},{"id":"W4252303062","doi":"10.32920/ryerson.14655057","title":"Life Cycle Assessment Overview and Application: Comparison of Structural Frame Alternatives for Office Buildings","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Life-cycle assessment; Embodied energy; Context (archaeology); Architectural engineering; Work (physics); Environmental impact assessment; Frame (networking); Impact assessment; Computer science; Civil engineering; Engineering; Construction engineering; Environmental science; Environmental resource management; Production (economics); Geography; Mechanical engineering; Economics","score_opus":0.022134665374515774,"score_gpt":0.361718106505057,"score_spread":0.33958344113054123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252303062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709496,0.00068752916,0.025385253,0.00039182216,0.00007309088,0.0009694093,0.000037325208,0.000021994687,0.0014839727],"genre_scores_gemma":[0.96863025,0.000095695774,0.030754363,0.00020615917,0.00002665222,0.00009995922,0.0000664264,0.000015154366,0.000105313506],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99842364,0.00005870573,0.0004190476,0.00056284934,0.00032312877,0.00021266207],"domain_scores_gemma":[0.99896157,0.000106012456,0.00028940715,0.00043743345,0.000013582271,0.00019200152],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022928351,0.00023805969,0.0004639366,0.00001750597,0.00009254962,0.00006516776,0.00028541105,0.00014975683,0.001060948],"category_scores_gemma":[0.00007307248,0.0002146231,0.00012020814,0.00005974932,0.00031486503,0.00015544418,0.0014056194,0.0002543424,0.00000217189],"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":[0.000050728748,0.00041537583,0.9275824,0.0012021249,0.0001337262,7.186886e-7,0.002276091,0.030596195,0.004307312,0.0018189655,0.0003433252,0.031273052],"study_design_scores_gemma":[0.0003569302,0.00009823969,0.92242473,0.000041524596,0.000063488755,0.0000012064394,0.0021695714,0.066924155,0.002142786,0.0040983707,0.0013090869,0.0003698953],"about_ca_topic_score_codex":0.00110473,"about_ca_topic_score_gemma":0.00008060589,"teacher_disagreement_score":0.03632796,"about_ca_system_score_codex":0.00030813162,"about_ca_system_score_gemma":0.00003985852,"threshold_uncertainty_score":0.99985224},"labels":[],"label_agreement":null},{"id":"W4252967254","doi":"10.1016/s0169-5150(01)00078-0","title":"Alternative methods for environmentally adjusted productivity analysis","year":2001,"lang":"en","type":"article","venue":"Agricultural Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Productivity; Productivity model; Nonparametric statistics; Agricultural productivity; Production (economics); Econometrics; Strengths and weaknesses; Economics; Index (typography); Environmental economics; Agriculture; Computer science; Microeconomics; Total factor productivity; Macroeconomics; Ecology","score_opus":0.015911034751527477,"score_gpt":0.27735517003748894,"score_spread":0.26144413528596144,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4252967254","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98870724,0.000022770815,0.0062578493,0.0005187225,0.00009097793,0.000628873,0.00002067617,0.000031873216,0.0037210002],"genre_scores_gemma":[0.9784723,0.00007357586,0.018030591,0.00015289134,0.000068382804,0.000094377596,0.00008704683,0.000011868088,0.0030089656],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863416,0.00007860124,0.0002756966,0.00056136446,0.000070112794,0.00038007315],"domain_scores_gemma":[0.9992959,0.000095790216,0.00014818639,0.0003005968,0.000004335325,0.00015517199],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004213544,0.00022534198,0.0002979307,0.000031214666,0.0001759778,0.000047271733,0.00028219778,0.000072880495,0.0012566458],"category_scores_gemma":[0.000049603455,0.00016901783,0.0002766162,0.00024606037,0.00018262373,0.0005511895,0.00022300586,0.000093947085,0.000107017],"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":[0.00020026512,0.0007880164,0.7400716,0.000016682146,0.0010779853,0.0000037617435,0.0013442239,0.11796571,0.032789227,0.0006142132,0.001002408,0.1041259],"study_design_scores_gemma":[0.00039129428,0.000117631214,0.9646167,8.172086e-7,0.00029788894,0.000011385441,0.000597267,0.0060732123,0.008939272,0.00186055,0.016696207,0.00039774558],"about_ca_topic_score_codex":0.00048308092,"about_ca_topic_score_gemma":0.00037466406,"teacher_disagreement_score":0.22454512,"about_ca_system_score_codex":0.0010423064,"about_ca_system_score_gemma":0.000004117836,"threshold_uncertainty_score":0.9996563},"labels":[],"label_agreement":null},{"id":"W4253990252","doi":"10.3138/cpp.38.1.71","title":"Energy Use and GHG Emissions in the Quebec Pulp and Paper Industry, 1990–2006","year":2012,"lang":"en","type":"article","venue":"Canadian Public Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval","funders":"","keywords":"Greenhouse gas; Pulp (tooth); Electricity; Fossil fuel; Environmental science; Natural resource economics; Pulp and paper industry; Waste management; Economics; Agricultural economics; Engineering","score_opus":0.016329655791391173,"score_gpt":0.23474779235575646,"score_spread":0.2184181365643653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4253990252","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97207177,0.00011442906,0.0000011326754,0.017334938,0.000019034305,0.00010230723,0.000027922311,0.0000065936006,0.010321855],"genre_scores_gemma":[0.9882275,0.000029607436,0.000013273444,0.008647056,0.00007870681,0.000017053995,0.000008215537,0.000009592025,0.0029689814],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876654,0.0001081331,0.000116839605,0.00016938357,0.0001242757,0.0007148061],"domain_scores_gemma":[0.9985479,0.00004916685,0.000022625878,0.00026866037,0.0000017514726,0.0011099121],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027484252,0.00012593892,0.00008745475,0.00010610815,0.00021307582,0.0001423767,0.00016320244,0.0001670348,0.0007405273],"category_scores_gemma":[0.00021451793,0.000094582145,0.000017672168,0.00031079532,0.00038742129,0.00102985,0.00010605941,0.00022394452,0.0000122801075],"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":[8.5957663e-7,0.000029621979,0.96361136,0.0000017492156,0.0000026038972,0.0000047928243,0.0010014265,8.0577274e-7,0.000061025774,0.0049046134,0.00880681,0.021574339],"study_design_scores_gemma":[0.00007385981,0.000005799454,0.6550655,0.0000011825633,0.0000021821124,0.000016004673,0.00045198176,0.000008473668,0.000005523912,0.00026647962,0.3440207,0.00008230511],"about_ca_topic_score_codex":0.9507389,"about_ca_topic_score_gemma":0.90634483,"teacher_disagreement_score":0.3352139,"about_ca_system_score_codex":0.0008709144,"about_ca_system_score_gemma":0.00020186232,"threshold_uncertainty_score":0.81082547},"labels":[],"label_agreement":null},{"id":"W4254544390","doi":"10.1139/x00-033","title":"Output scale, technical change, and productivity in the Canadian pulp and paper industry","year":2000,"lang":"en","type":"article","venue":"Canadian Journal of Forest Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Productivity; Technical change; Index (typography); Productivity model; Scale (ratio); Econometrics; Economics; Natural resource economics; Environmental science; Agricultural engineering; Total factor productivity; Engineering; Computer science; Economic growth; Geography","score_opus":0.05149868408975592,"score_gpt":0.30386511346841344,"score_spread":0.2523664293786575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4254544390","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97912383,0.00022110764,8.1595225e-8,0.010732357,0.000014421873,0.00030596022,0.0000060404736,9.000647e-7,0.009595322],"genre_scores_gemma":[0.99898124,0.000041739593,0.000028573722,0.00029454136,0.00007083888,0.000008577766,6.262718e-7,0.0000071908994,0.0005666455],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998382,0.00025126166,0.00016614376,0.00017554106,0.000390058,0.00063502905],"domain_scores_gemma":[0.9986274,0.00005543802,0.000021771615,0.000206394,0.000014171407,0.0010748102],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0027714593,0.00008918792,0.000116668554,0.00017892891,0.0003940279,0.00011890725,0.0002983907,0.00017030204,0.0010516733],"category_scores_gemma":[0.00019692285,0.00006366386,0.00002167895,0.00037008323,0.0013054156,0.00042462055,0.000033334916,0.0012929463,0.000014443116],"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":[0.000008925673,0.000016066211,0.9723986,0.0000042423367,0.0000014411341,0.00017564054,0.0010189319,0.000012251276,0.000014089353,0.000023406954,0.0010235424,0.025302887],"study_design_scores_gemma":[0.0001319569,0.000124194,0.9659824,0.000012861244,0.0000022675438,0.00027727574,0.00049903506,0.000005419417,0.0000068442682,0.0011317442,0.031758413,0.00006763278],"about_ca_topic_score_codex":0.7234681,"about_ca_topic_score_gemma":0.99501157,"teacher_disagreement_score":0.27154347,"about_ca_system_score_codex":0.0009621247,"about_ca_system_score_gemma":0.00037899305,"threshold_uncertainty_score":0.9998615},"labels":[],"label_agreement":null},{"id":"W4255548463","doi":"10.1007/978-3-662-53120-4_300219","title":"Environmental Productivity","year":2019,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"Productivity; Environmental science; Economics; Economic growth","score_opus":0.006776400396921566,"score_gpt":0.19186653085753377,"score_spread":0.1850901304606122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255548463","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017007438,0.00006112257,0.000020874777,0.00013563278,0.00016607379,0.0007387918,0.000039169616,0.00006738358,0.98176354],"genre_scores_gemma":[0.15537897,0.000042720396,0.00015083462,0.00018841673,0.00006428163,0.000004889792,0.000036474372,0.000065754895,0.8440677],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99795103,0.000017708413,0.00026739453,0.00081536215,0.00056558015,0.00038292614],"domain_scores_gemma":[0.9987531,0.000024062381,0.00012886485,0.0009212178,7.9868346e-7,0.00017196694],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00019478984,0.0004629671,0.00035410366,0.000029221335,0.000089757996,0.00002343014,0.00030761302,0.00031280998,0.1565683],"category_scores_gemma":[0.000008449872,0.0004154849,0.00021133077,0.000013001896,0.00055195653,0.00025562115,0.00069365907,0.0004126651,0.031712238],"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":[0.00036682218,0.0018432714,0.32895163,0.00034871063,0.0005304761,0.00030719803,0.0012321064,0.0009103213,0.013963703,0.06306399,0.18906894,0.39941284],"study_design_scores_gemma":[0.00021081911,0.00014902666,0.03911897,0.0000091411375,0.00004693385,0.000019594425,0.000025051797,0.000019513758,0.00040418457,0.009999612,0.9492075,0.0007896519],"about_ca_topic_score_codex":0.000038039452,"about_ca_topic_score_gemma":0.000026860254,"teacher_disagreement_score":0.7601386,"about_ca_system_score_codex":0.0012038571,"about_ca_system_score_gemma":0.000015616912,"threshold_uncertainty_score":0.9998297},"labels":[],"label_agreement":null},{"id":"W4255766709","doi":"10.26868/25222708.2019.211339","title":"Ultra-Low Carbon Technologies for Building Retrofits","year":2020,"lang":"en","type":"article","venue":"Building Simulation Conference proceedings","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Stantec (Canada)","funders":"","keywords":"Carbon fibers; Computer science; Environmental science; Materials science; Composite material","score_opus":0.024417455822655396,"score_gpt":0.2743453316399679,"score_spread":0.2499278758173125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4255766709","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97887206,0.000015253475,0.015973689,0.0020438405,0.00004868786,0.0007717268,0.000005882027,0.0004853144,0.0017835463],"genre_scores_gemma":[0.99122125,0.0000065523686,0.008312133,0.00024739862,0.000053829775,0.000061997904,0.000003269417,0.000028417608,0.000065172026],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99825704,0.000008106357,0.00032422962,0.00060586317,0.00033569883,0.00046906996],"domain_scores_gemma":[0.9994252,0.000097136806,0.0001694726,0.00012046993,0.000045867317,0.00014187116],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00025380088,0.00025432804,0.00024315336,0.000044768232,0.00022082268,0.00013038707,0.0003681391,0.00017495704,0.00013424545],"category_scores_gemma":[0.0011233655,0.00025161315,0.00008257219,0.00035990597,0.00021868243,0.00054176874,0.00017077754,0.00020146502,0.000012700175],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019119312,0.00008917825,0.45524815,0.00025728502,0.000024117637,0.0000018095665,0.004188273,0.026629321,0.4875824,0.0044986927,0.00028191184,0.021007696],"study_design_scores_gemma":[0.001012074,0.00039766266,0.02228325,0.00007115489,0.00004613328,0.00000246512,0.0034650555,0.76040083,0.19423,0.013240439,0.004043463,0.0008074333],"about_ca_topic_score_codex":0.000025495587,"about_ca_topic_score_gemma":9.227734e-7,"teacher_disagreement_score":0.73377156,"about_ca_system_score_codex":0.00029319775,"about_ca_system_score_gemma":0.0000145088725,"threshold_uncertainty_score":0.9999936},"labels":[],"label_agreement":null},{"id":"W4256494665","doi":"10.1504/ijetm.2018.092559","title":"A consumption-based, regional input-output analysis of greenhouse gas emissions and the carbon regional index","year":2018,"lang":"en","type":"article","venue":"International Journal of Environmental Technology and Management","topic":"Environmental Impact and Sustainability","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":"University of Calgary","funders":"Beijing Institute of Technology","keywords":"Greenhouse gas; Index (typography); Consumption (sociology); Environmental science; Climate change; Input–output model; Natural resource economics; Scale (ratio); Environmental economics; Business; Economics; Computer science; Geography","score_opus":0.009123822444354153,"score_gpt":0.24748890799362366,"score_spread":0.23836508554926952,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4256494665","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942677,0.0002526651,0.0006627852,0.003912421,0.00006787496,0.00017398714,0.000008805139,0.000008994139,0.000644774],"genre_scores_gemma":[0.9973523,0.001294557,0.0005923174,0.00050384254,0.000026395028,0.000008501675,0.000004090083,0.0000075881712,0.00021040403],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986147,0.00006280978,0.0004270494,0.0002208656,0.0005151573,0.00015936236],"domain_scores_gemma":[0.9992634,0.000075325624,0.00036122845,0.00021127283,0.000009651067,0.00007911212],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.00041050164,0.00014955999,0.0002441516,0.0004624765,0.00010950043,0.000015106146,0.00039137303,0.00009557866,0.00040612833],"category_scores_gemma":[0.000020692954,0.00010810088,0.00011869506,0.00024023288,0.0034718157,0.00011409013,0.00045572667,0.00017739579,0.0000039995743],"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":[0.0008990336,0.0005147428,0.96593344,0.000011342123,0.0016440161,0.000056359382,0.00039985275,0.00049576635,0.0010007448,0.0034850563,0.00031337285,0.025246266],"study_design_scores_gemma":[0.003634699,0.0003540799,0.96990514,0.000044381744,0.0008135317,0.00012160576,0.0011325595,0.0047453777,0.00046616644,0.0062152515,0.0123417815,0.0002254208],"about_ca_topic_score_codex":0.00004859811,"about_ca_topic_score_gemma":0.000036499074,"teacher_disagreement_score":0.025020845,"about_ca_system_score_codex":0.00020760925,"about_ca_system_score_gemma":0.0000057244592,"threshold_uncertainty_score":0.99924016},"labels":[],"label_agreement":null},{"id":"W4280515343","doi":"10.1016/j.jobab.2022.03.001","title":"Is engineered wood China's way to carbon neutrality?","year":2022,"lang":"en","type":"article","venue":"Journal of Bioresources and Bioproducts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Carbon neutrality; China; Neutrality; Carbon fibers; Materials science; Pulp and paper industry; Environmental science; Engineering; Composite material; Political science; Geography; Archaeology; Renewable energy; Electrical engineering; Composite number; Law","score_opus":0.006492695619841478,"score_gpt":0.20932890173502924,"score_spread":0.20283620611518777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280515343","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99364823,0.00029933528,0.0000018008627,0.005281621,0.00013327591,0.0001346252,0.000009719574,0.000006935541,0.00048446673],"genre_scores_gemma":[0.99826676,0.000025793133,0.00018412732,0.00045633613,0.0001122643,0.0000022445386,7.04455e-7,0.000010055761,0.00094169396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987839,0.000057866277,0.00027117712,0.00022002416,0.00041710032,0.000249974],"domain_scores_gemma":[0.9994292,0.000008690293,0.00012982442,0.00019900376,0.0000056946687,0.00022757522],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005744172,0.00013165377,0.0001861678,0.00006573054,0.00016978369,0.000031559503,0.00022930482,0.000026899828,0.0006820815],"category_scores_gemma":[0.00003253431,0.0001022852,0.00007016204,0.00028221417,0.00010223511,0.00009746831,0.00035397755,0.00022060711,0.0000042041474],"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":[0.00070268277,0.0010199086,0.5452593,0.00008715563,0.00012887851,0.00021261345,0.035241216,0.005062235,0.3480632,0.000030062747,0.014616056,0.049576715],"study_design_scores_gemma":[0.00041125724,0.0010932357,0.8471827,0.0000057480447,0.00003159212,0.00019663462,0.0017510712,0.000073660725,0.021272361,0.0001953581,0.1275498,0.00023658271],"about_ca_topic_score_codex":0.00031329994,"about_ca_topic_score_gemma":0.000005644157,"teacher_disagreement_score":0.32679084,"about_ca_system_score_codex":0.00018713782,"about_ca_system_score_gemma":0.000005511394,"threshold_uncertainty_score":0.7468314},"labels":[],"label_agreement":null},{"id":"W4280568347","doi":"10.3390/en15103601","title":"Inter-Provincial Electricity Trading and Its Effects on Carbon Emissions from the Power Industry","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Chinese Academy of Sciences","keywords":"Electricity; Divisia index; Greenhouse gas; Electricity generation; Natural resource economics; Renewable energy; Agricultural economics; Hydropower; Environmental science; Electricity market; Electric power industry; Carbon offset; Economics; Energy intensity; Business; Efficient energy use; Power (physics); Engineering","score_opus":0.006155251745981254,"score_gpt":0.2137006403126767,"score_spread":0.20754538856669544,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280568347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9946202,0.00009979853,9.948379e-7,0.00058468274,0.000110435285,0.00013826175,0.00000953803,0.000027361075,0.004408739],"genre_scores_gemma":[0.99890274,0.0000047335448,0.000008056396,0.00050525006,0.000038878603,0.000030741172,0.0000028481272,0.000009406481,0.0004973647],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990562,0.00016508352,0.00008835752,0.0002273537,0.0002537418,0.00020923668],"domain_scores_gemma":[0.9995137,0.0002103495,0.000033227647,0.00017014501,7.528587e-7,0.000071813636],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00017491214,0.00011320279,0.00009101366,0.000013125802,0.00039962074,0.000021708038,0.00018648623,0.00005774835,0.0009486944],"category_scores_gemma":[0.00010579977,0.00008148815,0.000032462733,0.000117429896,0.00007535157,0.00007120635,0.00040830998,0.00047171715,0.000003898266],"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":[0.00021650517,0.00037860603,0.78775257,0.000010696186,0.000045410165,0.00007492333,0.009304429,0.005115177,0.16960791,0.00050628796,0.0052742697,0.021713194],"study_design_scores_gemma":[0.00043916315,0.00055841135,0.90072495,0.000009728449,0.000024706565,0.000006297829,0.0024752843,0.0016597009,0.08452257,0.0015173779,0.0077372203,0.00032461996],"about_ca_topic_score_codex":0.0007750332,"about_ca_topic_score_gemma":0.000033059136,"teacher_disagreement_score":0.112972334,"about_ca_system_score_codex":0.00037032488,"about_ca_system_score_gemma":0.000009267112,"threshold_uncertainty_score":0.9999646},"labels":[],"label_agreement":null},{"id":"W4281493347","doi":"","title":"Évaluation par analyse de cycle de vie de stratégies de baisse du taux protéique dans les aliments pour porcs charcutiers","year":2022,"lang":"fr","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"","keywords":"Life-cycle assessment; Animal science; Environmental science; Computer science; Production (economics); Biology; Economics","score_opus":0.015873317063120562,"score_gpt":0.2486223806824447,"score_spread":0.23274906361932413,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281493347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87336457,0.00039654312,0.094364114,0.013140292,0.00008217612,0.0012114049,0.00015040726,0.00013381308,0.017156681],"genre_scores_gemma":[0.9282615,0.0014393682,0.06329319,0.00027172538,0.00003395512,0.00043737114,0.00050286175,0.00008036977,0.0056796516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98162794,0.014287027,0.000827544,0.001136237,0.00084505836,0.0012762097],"domain_scores_gemma":[0.99559855,0.0008126397,0.0006756489,0.0020231612,0.00018254477,0.0007074802],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015278952,0.0006324612,0.00050950947,0.0001480968,0.0014534296,0.00041143264,0.0018464734,0.0004581755,0.003888288],"category_scores_gemma":[0.0017128553,0.0007525531,0.00041682107,0.00050674856,0.0011218558,0.0004136613,0.0020813502,0.0011747223,0.000060965856],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000054246055,0.0019338405,0.81389755,0.0001806311,0.00016201979,0.000040071653,0.05481154,0.027681978,0.07171189,0.003550921,0.00037443126,0.025600864],"study_design_scores_gemma":[0.00065834663,0.0000046046116,0.7477767,0.00031669263,0.00021989112,0.000058597314,0.008832994,0.10747831,0.120240554,0.009736161,0.003939632,0.0007375301],"about_ca_topic_score_codex":0.03429052,"about_ca_topic_score_gemma":0.006888108,"teacher_disagreement_score":0.07979633,"about_ca_system_score_codex":0.007408713,"about_ca_system_score_gemma":0.0012040595,"threshold_uncertainty_score":0.9998465},"labels":[],"label_agreement":null},{"id":"W4281842269","doi":"10.1038/s41558-022-01410-9","title":"Author Correction: A climate club to decarbonize the global steel industry","year":2022,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Club; Environmental science; Business; Medicine","score_opus":0.019363542888103002,"score_gpt":0.2959699927610527,"score_spread":0.2766064498729497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281842269","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96672493,0.00021671131,0.0000022599336,0.01066927,0.002209235,0.0009996444,0.00026479238,0.000116951414,0.018796181],"genre_scores_gemma":[0.99050564,0.000024019866,0.00006624446,0.007926181,0.0002285495,0.00040519642,0.000024588007,0.000023886574,0.0007956829],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99760956,0.00020854475,0.000220847,0.0005009408,0.00066693954,0.0007931681],"domain_scores_gemma":[0.9990402,0.000051243194,0.00009362456,0.0005537176,0.000006382073,0.00025485968],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008207222,0.00024593328,0.00018696369,0.0000262709,0.0010143032,0.0000609868,0.00055300165,0.00031802524,0.005596311],"category_scores_gemma":[0.00007644509,0.0001916839,0.000110851906,0.0007632616,0.00015592818,0.00020492356,0.0020043675,0.0015556435,0.00025375537],"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":[0.0002407636,0.00032994497,0.95883745,0.000021968686,0.000014154541,0.00008311338,0.002650218,0.00041631187,0.00021939413,0.00045729824,0.025116527,0.011612875],"study_design_scores_gemma":[0.00028856238,0.00024913877,0.838881,0.000007787992,0.000028658473,0.00010726522,0.0050531826,0.00034539137,0.00008916033,0.00026534294,0.15435806,0.00032641788],"about_ca_topic_score_codex":0.00018132513,"about_ca_topic_score_gemma":0.00027900483,"teacher_disagreement_score":0.12924153,"about_ca_system_score_codex":0.0020944714,"about_ca_system_score_gemma":0.000009971413,"threshold_uncertainty_score":0.9953127},"labels":[],"label_agreement":null},{"id":"W4281997479","doi":"10.1038/s41558-022-01379-5","title":"Renewable energy certificates threaten the integrity of corporate science-based targets","year":2022,"lang":"en","type":"article","venue":"Nature Climate Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":147,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Scope (computer science); Renewable energy; Greenhouse gas; Business; Credibility; Electricity; Environmental economics; Natural resource economics; Accounting; Economics; Political science; Engineering; Computer science","score_opus":0.04537268132220315,"score_gpt":0.2633030935835746,"score_spread":0.21793041226137147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281997479","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839295,0.00069863704,0.00001762827,0.0038693505,0.00038195125,0.00045141575,0.00017254722,0.000056916746,0.010422035],"genre_scores_gemma":[0.99826103,0.00005208312,0.000109453555,0.0011365227,0.000032973763,0.0001297839,0.000037518104,0.000014856326,0.00022578833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980738,0.00013199355,0.00020758325,0.0004005449,0.0006849697,0.0005010867],"domain_scores_gemma":[0.9990634,0.000055376924,0.00022619474,0.000533956,0.000015660986,0.000105456515],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001222296,0.00016690773,0.00017484088,0.000058936705,0.0008117443,0.000028686178,0.00075387774,0.00008985698,0.0034529604],"category_scores_gemma":[0.000060354316,0.00011325674,0.000084374115,0.000789764,0.0012093988,0.00024632426,0.0008437146,0.0005078711,0.00001371794],"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":[0.00041940564,0.0011382038,0.87710893,0.000077621684,0.000018447916,0.000037150017,0.0028772799,0.0035665282,0.09905486,0.0016048952,0.007835842,0.0062608593],"study_design_scores_gemma":[0.00092364923,0.00069935696,0.70320994,0.000019183892,0.00006109482,0.000017938804,0.004609417,0.00608243,0.22779404,0.013601127,0.042221442,0.00076041144],"about_ca_topic_score_codex":0.0025546364,"about_ca_topic_score_gemma":0.00042014424,"teacher_disagreement_score":0.173899,"about_ca_system_score_codex":0.00066235993,"about_ca_system_score_gemma":0.000026896152,"threshold_uncertainty_score":0.99745804},"labels":[],"label_agreement":null},{"id":"W4282008036","doi":"10.18331/brj2022.9.2.2","title":"On quantifying sources of uncertainty in the carbon footprint of biofuels: crop/feedstock, LCA modelling approach, land-use change, and GHG metrics","year":2022,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":98,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Biofuel; Greenhouse gas; Environmental science; Life-cycle assessment; Carbon footprint; Context (archaeology); Land use, land-use change and forestry; Fossil fuel; Climate change; Land use; Biodiesel; Raw material; Natural resource economics; Production (economics); Waste management; Engineering; Economics; Ecology; Chemistry","score_opus":0.2378161713071328,"score_gpt":0.35353857523458265,"score_spread":0.11572240392744984,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4282008036","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99798,0.00050831126,0.00006808895,0.00021799954,0.000027413751,0.00043829807,0.000012037069,0.0000035220667,0.0007443067],"genre_scores_gemma":[0.9991619,0.0004138543,0.00029424834,0.000026329244,0.00002413362,0.00003235472,0.0000015799886,0.000012226119,0.000033361852],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996287,0.0010366642,0.0003703604,0.00026096843,0.0015428484,0.00050216937],"domain_scores_gemma":[0.99888724,0.0005005685,0.00015961006,0.0002944923,0.000022832868,0.00013525305],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0058522737,0.00013317616,0.00022044241,0.000364778,0.00041862094,0.00006815676,0.00053123554,0.000056132332,0.0000687408],"category_scores_gemma":[0.00034232036,0.0000921376,0.000079294645,0.0009991277,0.00056802575,0.000110742905,0.0006316161,0.0010296982,5.688128e-7],"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":[0.00049023586,0.0010352132,0.8827573,0.00012850901,0.000024872452,0.00003677371,0.010090797,0.08933491,0.0023089268,0.00025541434,0.000007840456,0.013529219],"study_design_scores_gemma":[0.0033654026,0.004375803,0.65043116,0.0001211219,0.000047321544,0.00030111556,0.062282808,0.24705471,0.0026555192,0.026879093,0.001693002,0.00079294684],"about_ca_topic_score_codex":0.0062565324,"about_ca_topic_score_gemma":0.00011084109,"teacher_disagreement_score":0.23232614,"about_ca_system_score_codex":0.00050940504,"about_ca_system_score_gemma":0.000034016924,"threshold_uncertainty_score":0.9458047},"labels":[],"label_agreement":null},{"id":"W4283836537","doi":"10.1021/acs.est.2c03128","title":"Introducing “Embedded Toxicity”: A Necessary Metric for the Sound Management of Building Materials","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"National Natural Science Foundation of China","keywords":"Library science; Engineering; Computer science","score_opus":0.006776704760450684,"score_gpt":0.24785714728581937,"score_spread":0.24108044252536867,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283836537","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934623,0.00016774998,0.0036994277,0.0007138378,0.00024042767,0.00112522,0.00004406937,0.000056276207,0.00049067213],"genre_scores_gemma":[0.9935905,0.000041324667,0.0055184783,0.00013984457,0.000016847282,0.0004016015,0.000005067779,0.000020522602,0.00026584856],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99719274,0.00006250718,0.00041386293,0.00075277465,0.00084358815,0.00073452067],"domain_scores_gemma":[0.9987744,0.00008538815,0.00023185284,0.0008230532,0.0000018715346,0.00008344603],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0019020711,0.00022533881,0.00025170742,0.00029537428,0.0015541643,0.00003512538,0.0016399283,0.000059134265,0.003600199],"category_scores_gemma":[0.000049806964,0.00018578219,0.00008395689,0.0018797335,0.003228382,0.00033123148,0.0036284383,0.00021845325,0.000021520753],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007515848,0.0004848492,0.040308576,0.000023481798,0.00003912157,0.000010531391,0.0005055804,0.017610876,0.9197159,0.0022395921,0.00016318781,0.018823167],"study_design_scores_gemma":[0.0011910098,0.00084301346,0.09452052,0.000008732847,0.00013306331,0.000089991045,0.025237285,0.001511494,0.849991,0.017770916,0.008011289,0.0006916855],"about_ca_topic_score_codex":0.000046662273,"about_ca_topic_score_gemma":0.0000022540823,"teacher_disagreement_score":0.06972488,"about_ca_system_score_codex":0.0017404173,"about_ca_system_score_gemma":0.000011675151,"threshold_uncertainty_score":0.99974567},"labels":[],"label_agreement":null},{"id":"W4285040261","doi":"10.1201/9781003023555-34","title":"Forest-Building: Exploring carbon sequestration in wood buildings and forests with system dynamics modelling","year":2022,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon sequestration; Pooling; Forestry; Environmental science; Architectural engineering; Environmental resource management; Engineering; Ecology; Geography; Computer science; Carbon dioxide","score_opus":0.020225040474135314,"score_gpt":0.20192864737287386,"score_spread":0.18170360689873855,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285040261","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79634345,0.000042614385,0.0016500367,0.00003509736,0.000043936645,0.0006341243,0.000007318967,0.0000746499,0.20116876],"genre_scores_gemma":[0.98362356,0.00007586575,0.0019451111,0.000013480785,0.000020655243,0.000086274835,0.000023153716,0.00007470097,0.014137178],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980953,0.00002297804,0.00035904653,0.0006484587,0.0004959141,0.00037831944],"domain_scores_gemma":[0.99933505,0.00003657044,0.0001509524,0.00033121541,0.0000036888644,0.00014250827],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00031447,0.0003981819,0.00034646314,0.000104073384,0.00013647131,0.00005392191,0.000178698,0.00016213619,0.00019815721],"category_scores_gemma":[0.000003867026,0.0003670834,0.00005136089,0.000058930145,0.0001827361,0.00047578826,0.00036039145,0.00046147546,0.0000027367955],"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":[0.00013332425,0.000054597465,0.22708063,0.0003274322,0.00003626222,0.0002156787,0.0008335419,0.5896887,0.00004183052,0.17931141,0.000005225777,0.0022713442],"study_design_scores_gemma":[0.0010608366,0.0009179086,0.013391698,0.00047797215,0.00015201041,0.0001532844,0.0027957505,0.956301,0.00010454009,0.020199887,0.002340277,0.002104846],"about_ca_topic_score_codex":0.0028761195,"about_ca_topic_score_gemma":0.0044631297,"teacher_disagreement_score":0.36661226,"about_ca_system_score_codex":0.0036932533,"about_ca_system_score_gemma":0.000019730887,"threshold_uncertainty_score":0.9998781},"labels":[],"label_agreement":null},{"id":"W4285180596","doi":"10.1016/b978-0-12-817111-0.00003-6","title":"Environmental impact assessments of compressed air energy storage systems: a review","year":2022,"lang":"en","type":"review","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Compressed air energy storage; Scope (computer science); Life-cycle assessment; Greenhouse gas; Sustainability; Environmental impact assessment; Energy storage; Environmental science; Scale (ratio); Compressed air; Engineering; Systems engineering; Computer science; Production (economics); Geography; Mechanical engineering","score_opus":0.023032503467965225,"score_gpt":0.3179685464834925,"score_spread":0.2949360430155273,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285180596","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005926815,0.92854816,0.000007525347,0.0000026286539,0.00021614936,0.0020297565,0.0004548132,0.000041932908,0.0686398],"genre_scores_gemma":[0.00051813707,0.9721109,0.000043416214,0.0001371878,0.000048093803,0.0007759709,0.00031859323,0.0001326769,0.025915012],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9941104,0.0013998279,0.0015331767,0.00095899333,0.0012470932,0.00075050886],"domain_scores_gemma":[0.9966223,0.00020171075,0.0012267788,0.0015702461,0.0000026821874,0.00037626736],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009528783,0.0009892225,0.0030559923,0.000110000736,0.00022948925,0.000027277692,0.0011833477,0.0002567522,0.010617317],"category_scores_gemma":[0.000028774624,0.00079904875,0.0014339947,0.00019714846,0.0004965502,0.00018462342,0.0015269809,0.0006508245,0.00013473044],"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":[0.0000064985124,0.0002452447,0.00010634299,0.014931069,0.00019991296,0.0000446527,0.000034981345,0.00005207469,0.0000029772882,0.0000023743858,0.0004664075,0.98390746],"study_design_scores_gemma":[0.00019130822,0.00024754583,0.00016783623,0.0055068135,0.0008824013,0.000077079894,0.00003685147,0.000021674427,9.385055e-7,0.000010412461,0.9921645,0.0006926656],"about_ca_topic_score_codex":0.000063839245,"about_ca_topic_score_gemma":0.0000037355064,"teacher_disagreement_score":0.9916981,"about_ca_system_score_codex":0.0037527324,"about_ca_system_score_gemma":0.0001283017,"threshold_uncertainty_score":0.99944603},"labels":[],"label_agreement":null},{"id":"W4285596949","doi":"10.3390/en15145123","title":"Quantitative Analysis of China’s Carbon Emissions Trading Policies: Perspectives of Policy Content Validity and Carbon Emissions Reduction Effect","year":2022,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Divisia index; Greenhouse gas; Beijing; Environmental economics; Index (typography); Carbon fibers; China; Policy analysis; Natural resource economics; Economics; Environmental science; Public economics; Efficient energy use; Political science; Computer science; Engineering; Public administration","score_opus":0.02957571891003922,"score_gpt":0.294962863186857,"score_spread":0.26538714427681775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4285596949","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959804,0.0001973082,0.000003498658,0.00027262917,0.000033653472,0.0001604061,0.000033628334,0.000017953584,0.003300521],"genre_scores_gemma":[0.9994321,0.00007155681,0.00007853603,0.000004432233,0.000011167873,0.000023565566,0.000007674155,0.000009231913,0.0003617754],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99859643,0.00035060797,0.0002492033,0.0002740919,0.00032642638,0.00020326604],"domain_scores_gemma":[0.99935186,0.00013245926,0.0001690544,0.00024175495,0.0000061100377,0.00009874325],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039317145,0.00014893862,0.0003612047,0.00022661487,0.0002267755,0.000007068059,0.00012703188,0.00003546674,0.00021111286],"category_scores_gemma":[0.00027756902,0.000128047,0.00015493724,0.0008613485,0.000510417,0.000086887965,0.00027113524,0.0001335241,6.335365e-8],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013181902,0.0003200284,0.37634662,0.000031866773,0.000263265,0.0000019187719,0.07550515,0.056332134,0.48998132,0.0007220929,0.000025478343,0.00033831192],"study_design_scores_gemma":[0.00025192465,0.0006336453,0.8347257,0.000008488627,0.00036944676,0.000003994752,0.11563726,0.0073843673,0.040452287,0.00033689366,0.000021901757,0.00017410745],"about_ca_topic_score_codex":0.029658025,"about_ca_topic_score_gemma":0.00006584098,"teacher_disagreement_score":0.45837906,"about_ca_system_score_codex":0.0006357795,"about_ca_system_score_gemma":0.000024606114,"threshold_uncertainty_score":0.97680354},"labels":[],"label_agreement":null},{"id":"W4289202356","doi":"10.1111/jiec.13305","title":"A review of inventory modeling methods for missing data in life cycle assessment","year":2022,"lang":"en","type":"review","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":64,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Missing data; Computer science; Scope (computer science); Generalizability theory; Proxy (statistics); Data collection; Risk analysis (engineering); Data science; Data quality; Management science; Data mining; Operations research; Operations management; Engineering; Machine learning; Business","score_opus":0.30715216230768744,"score_gpt":0.49462359007435497,"score_spread":0.18747142776666753,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289202356","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00014536128,0.9966354,0.00091813557,0.00021853812,0.0006170542,0.0012105235,0.00003406336,0.0000024256317,0.00021850424],"genre_scores_gemma":[0.000015601252,0.99027246,0.009189432,0.00024114682,0.0001545188,0.000037309495,0.000048917296,0.000027702257,0.000012903685],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99461263,0.0021246956,0.0022950396,0.00033833893,0.00028930916,0.00034000207],"domain_scores_gemma":[0.99629945,0.00081176456,0.0020958707,0.0005867589,0.000011571053,0.00019457447],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.011723441,0.00026612022,0.0023038143,0.00016208162,0.000075140604,0.000010999785,0.0011875822,0.00034983663,0.0028933834],"category_scores_gemma":[0.0045013963,0.00022133751,0.00046990704,0.000332806,0.00013100842,0.00028253772,0.0011078845,0.0012399051,0.0000013868314],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000025153666,0.00027758259,0.0005240525,0.008520012,0.0000906896,0.000010595345,0.000022311368,0.00080228806,4.3764416e-7,0.0000036174542,0.0012296122,0.9884936],"study_design_scores_gemma":[0.0006970931,0.00041475915,0.000016112132,0.00868993,0.00067995844,0.000048248676,0.00009611711,0.0045781443,1.0595531e-7,0.00027530687,0.9842887,0.00021550695],"about_ca_topic_score_codex":0.00006830939,"about_ca_topic_score_gemma":0.000013281866,"teacher_disagreement_score":0.98827815,"about_ca_system_score_codex":0.002399244,"about_ca_system_score_gemma":0.0011076296,"threshold_uncertainty_score":0.9980181},"labels":[],"label_agreement":null},{"id":"W4289926022","doi":"10.21926/rpm.2203014","title":"A Case Study on the Impact of Transportation of Mass Timber Products on the Cradle-to-Gate LCA Results for an Institutional Building","year":2022,"lang":"en","type":"article","venue":"Recent Progress in Materials","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"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 New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Life-cycle assessment; Environmental impact assessment; Global-warming potential; Impact assessment; Environmental science; Carbon footprint; Engineering; Greenhouse gas; Production (economics); Oceanography; Ecology","score_opus":0.049642287429143075,"score_gpt":0.340167782159923,"score_spread":0.29052549473077993,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4289926022","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99595606,0.0000047175345,0.0000036170816,0.00049822166,0.00009014084,0.0029493903,0.00042559142,0.0000070358697,0.00006522389],"genre_scores_gemma":[0.9992387,0.000002522314,0.0001635801,0.00003126274,0.000014783478,0.0004936643,0.000031042426,0.000009946611,0.000014446363],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99833906,0.00041140305,0.0004013259,0.00028172848,0.00036579545,0.00020068984],"domain_scores_gemma":[0.99931896,0.00009368253,0.00018320006,0.0003560329,0.000011228981,0.0000368908],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0021813335,0.00012758654,0.00016996286,0.000029502498,0.00020060208,0.000020219804,0.00022243569,0.000021604354,0.0003327222],"category_scores_gemma":[0.00010858957,0.00007337324,0.000037674403,0.00022858143,0.00016939122,0.000103224505,0.000051746396,0.00007511683,0.000002096992],"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":[0.016347602,0.015704608,0.26152396,0.00019852801,0.00019273492,0.0003533483,0.041520774,0.4587604,0.1955651,0.0018537646,0.00076827075,0.007210893],"study_design_scores_gemma":[0.002929087,0.010298943,0.7880026,0.000062822495,0.000055572003,0.00004678636,0.009771552,0.00078297924,0.18536298,0.0014795079,0.0007256173,0.00048152998],"about_ca_topic_score_codex":0.00020468459,"about_ca_topic_score_gemma":0.000017438828,"teacher_disagreement_score":0.52647865,"about_ca_system_score_codex":0.0004236016,"about_ca_system_score_gemma":0.000024143907,"threshold_uncertainty_score":0.36430746},"labels":[],"label_agreement":null},{"id":"W4290999197","doi":"10.3390/ijerph19169900","title":"Towards Cleaner Production Ecosystem: An Analysis of Embodied Industrial Pollution in International Trade of China’s Processing versus Normal Exports","year":2022,"lang":"en","type":"article","venue":"International Journal of Environmental Research and Public Health","topic":"Environmental Impact and Sustainability","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":"Université Laval","funders":"Ministry of Education, India; National Natural Science Foundation of China","keywords":"China; International trade; Balance of trade; Economics; Production (economics); Bilateral trade; International economics; Trade barrier; Cleaner production; Pollution; Business; Natural resource economics; Engineering; Ecology; Macroeconomics","score_opus":0.07363799279499826,"score_gpt":0.37102541386073323,"score_spread":0.29738742106573496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4290999197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932011,0.00007819107,0.000030261588,0.0055504823,0.0003569325,0.0002148113,0.00013417556,0.0000025808665,0.00043151664],"genre_scores_gemma":[0.9994683,0.00017558775,0.00009323136,0.000042883694,0.00009934388,0.000008702116,0.000073837626,0.000008896461,0.000029173976],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99582404,0.00056385505,0.0008593399,0.00025798182,0.0021526206,0.00034215223],"domain_scores_gemma":[0.99894804,0.000037039612,0.0005871534,0.00014113144,0.000013219928,0.0002733987],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0043299966,0.000113719456,0.000295529,0.0007685542,0.00014634509,0.000036327307,0.0004862505,0.000051463845,0.0015906146],"category_scores_gemma":[0.00018788315,0.00010934255,0.00009795603,0.00048722245,0.00031787046,0.00092639297,0.00038401736,0.00050920114,4.7015004e-7],"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":[0.0027262932,0.0054366165,0.7284431,0.00002835314,0.00043164895,0.00004627365,0.007672498,0.016199311,0.0030294352,0.00014133677,0.00022650739,0.23561865],"study_design_scores_gemma":[0.0015655141,0.001616941,0.98013836,0.000014192509,0.000019206504,0.00004755858,0.011004662,0.001938447,0.0002715694,0.00012321648,0.0031545102,0.000105837615],"about_ca_topic_score_codex":0.00097001006,"about_ca_topic_score_gemma":0.000339425,"teacher_disagreement_score":0.25169528,"about_ca_system_score_codex":0.0028389555,"about_ca_system_score_gemma":0.00021178159,"threshold_uncertainty_score":0.99932206},"labels":[],"label_agreement":null},{"id":"W4292157573","doi":"10.1016/j.jenvman.2022.115916","title":"Towards low-carbon domestic circulation: Insights from the spatiotemporal variations and socioeconomic determinants of emissions embedded within cross-province trade in China","year":2022,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"China; Distribution (mathematics); Greenhouse gas; Business; Socioeconomic status; Socioeconomic development; Natural resource economics; Economics; Economic geography; Geography; Agricultural economics; Economic growth; Population","score_opus":0.005685994122104671,"score_gpt":0.23567290652792974,"score_spread":0.22998691240582508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4292157573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985523,0.00013632183,0.00007196406,0.00022203357,0.00013307453,0.00040412057,0.000029403001,0.0000035498072,0.000447212],"genre_scores_gemma":[0.9992636,0.00005296475,0.00044294327,0.000104329425,0.000023163426,0.000014677527,0.000006343913,0.000014841479,0.00007713137],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981362,0.0001994914,0.0007474975,0.00025025496,0.00047998672,0.0001865345],"domain_scores_gemma":[0.9989856,0.000058920115,0.0005784633,0.00027520125,6.8390625e-7,0.00010114841],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046899842,0.00017650888,0.0002586635,0.00006152504,0.00024750343,0.00002889159,0.00034577135,0.00004144742,0.0009984176],"category_scores_gemma":[0.000014158088,0.00014353868,0.00009448138,0.00008829501,0.00034475006,0.00030417807,0.00059433957,0.0002819573,0.0000030920228],"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":[0.000105919644,0.0006493185,0.95388174,0.00001958992,0.00004721546,0.00009376871,0.0046794214,0.033430044,0.002585275,0.00006284589,0.000022032156,0.004422831],"study_design_scores_gemma":[0.0009615643,0.00014712206,0.9870752,0.000014682521,0.00004884084,0.000019572535,0.0021773016,0.005999159,0.00022037697,0.0031216713,0.00006803176,0.00014645883],"about_ca_topic_score_codex":0.00018648485,"about_ca_topic_score_gemma":0.00004964057,"teacher_disagreement_score":0.03319348,"about_ca_system_score_codex":0.0011198719,"about_ca_system_score_gemma":0.000019897683,"threshold_uncertainty_score":0.9999148},"labels":[],"label_agreement":null},{"id":"W4293565639","doi":"10.1016/j.jobe.2022.105141","title":"An energy retrofit roadmap to net-zero energy and carbon footprint for single-family houses in Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":34,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University; University of Guelph","funders":"","keywords":"Carbon footprint; Zero-energy building; Net energy; Net (polyhedron); Footprint; Energy (signal processing); Single-family detached home; Zero (linguistics); Environmental science; Environmental economics; Greenhouse gas; Energy consumption; Business; Engineering; Geography; Economics; Electrical engineering; Physics; Archaeology; Geology","score_opus":0.005651326172486128,"score_gpt":0.18547103960686295,"score_spread":0.17981971343437683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4293565639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994043,0.00012870379,0.005447625,0.00008496671,0.00018008496,0.000050833063,0.0000026463506,0.0000071490304,0.000055019038],"genre_scores_gemma":[0.9973058,0.00000852147,0.0024771756,0.00012406927,0.000038933737,0.000010524873,4.092503e-7,0.00002228142,0.000012252074],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99896955,0.000028316765,0.00028123718,0.00015297854,0.00028759282,0.00028031465],"domain_scores_gemma":[0.9995458,0.00005143757,0.00008270355,0.00012302943,0.0000043971045,0.00019260739],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029592673,0.00011890853,0.00018736905,0.0000884808,0.000055613003,0.00001941164,0.00018797613,0.000020338635,0.000010050925],"category_scores_gemma":[0.000044244087,0.00012444741,0.0000348296,0.0001532542,0.000011931482,0.000078826866,0.00015637884,0.00011436,9.089729e-9],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000028885343,0.00003421057,0.038689747,0.0000068014015,0.000006884112,0.000038751154,0.00011771287,0.7290558,0.22543465,0.000044472537,0.000030987056,0.0065110866],"study_design_scores_gemma":[0.0029276912,0.0036885717,0.6224914,0.00010006651,0.00006540225,0.00051348977,0.0023969298,0.16438821,0.12027086,0.0009566345,0.0806203,0.0015804148],"about_ca_topic_score_codex":0.2674022,"about_ca_topic_score_gemma":0.061725788,"teacher_disagreement_score":0.5838017,"about_ca_system_score_codex":0.002869896,"about_ca_system_score_gemma":0.000052385385,"threshold_uncertainty_score":0.9553953},"labels":[],"label_agreement":null},{"id":"W4295221793","doi":"10.1002/cjce.24652","title":"Preface to the special issue section in memory of John R. Grace","year":2022,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Section (typography); Special section; History; Philosophy; Geology; Computer science; Engineering; Engineering physics; Operating system","score_opus":0.0041674331726936666,"score_gpt":0.18179595392208,"score_spread":0.17762852074938634,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295221793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9967632,0.00003835542,0.000019160974,0.0018944759,0.00023352422,0.00010010322,0.0000030629444,0.0000014468495,0.000946655],"genre_scores_gemma":[0.99940777,5.0608764e-7,0.000054871187,0.00010958525,0.0002916432,0.000003141604,2.5179503e-7,0.0000065675486,0.00012569029],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99933946,0.00003101911,0.00017975681,0.000058171532,0.00020920625,0.00018241337],"domain_scores_gemma":[0.99963003,0.000033950462,0.00004836398,0.000118395044,0.000003254334,0.00016597811],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005167894,0.000060412807,0.00009064047,0.000038632024,0.00007058967,0.000009298871,0.00031018842,0.00001903517,0.0017737435],"category_scores_gemma":[0.000106805914,0.000042728545,0.000044775963,0.00023245835,0.000060853716,0.0000623313,0.00007232619,0.0003506019,0.000004582359],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002241679,0.000020383528,0.0075046206,0.000007710179,0.000008602577,0.000021116623,0.004068145,0.9386546,0.041697208,0.000015909567,0.006417028,0.0015622549],"study_design_scores_gemma":[0.0015835218,0.0006306951,0.30195558,0.00006739417,0.0000782133,0.00073166675,0.006274884,0.014767852,0.2579926,0.00066117005,0.4143615,0.0008949195],"about_ca_topic_score_codex":0.0038539611,"about_ca_topic_score_gemma":0.0013797169,"teacher_disagreement_score":0.9238868,"about_ca_system_score_codex":0.0009397816,"about_ca_system_score_gemma":0.00004489182,"threshold_uncertainty_score":0.9991388},"labels":[],"label_agreement":null},{"id":"W4295828568","doi":"10.1007/978-981-19-1061-6_33","title":"How to Identify Cities on the Path Towards Real Sustainability?","year":2022,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Sustainability; Pace; Climate change; Environmental planning; Ecological footprint; Sustainable development; Environmental resource management; Geography; Political science; Environmental science","score_opus":0.008705088583367458,"score_gpt":0.22512058114568528,"score_spread":0.21641549256231782,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4295828568","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20878953,0.00084553694,0.025802862,0.035972316,0.0023583688,0.008335906,0.00032594532,0.0008523107,0.71671724],"genre_scores_gemma":[0.985812,0.000072501236,0.00014572428,0.0004781641,0.00012744368,0.00013167433,0.000020461883,0.0001084245,0.013103607],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.997667,0.00004542096,0.00028362343,0.0006621149,0.0007328332,0.00060900743],"domain_scores_gemma":[0.99856246,0.00036775597,0.00007489118,0.00083977974,0.000008300475,0.00014680142],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005424654,0.00054568006,0.0003916752,0.00012857272,0.00015655076,0.00011603271,0.00058642076,0.00025641578,0.0049912455],"category_scores_gemma":[0.00072397944,0.00044110065,0.00019772864,0.00014907049,0.00015714495,0.00014909012,0.00077979447,0.001171798,0.00002944282],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009421053,0.00013929041,0.0068497346,0.0004894488,0.00010493791,0.00043225236,0.006792925,0.9224412,0.00089357997,0.025238615,0.0013016079,0.035222188],"study_design_scores_gemma":[0.00085630285,0.0014298812,0.10748382,0.000392627,0.00014760984,0.000051316914,0.00086592895,0.0045037484,0.001677748,0.14808738,0.72982424,0.004679383],"about_ca_topic_score_codex":0.0004391668,"about_ca_topic_score_gemma":0.00057365285,"teacher_disagreement_score":0.91793746,"about_ca_system_score_codex":0.00416793,"about_ca_system_score_gemma":0.000036300178,"threshold_uncertainty_score":0.9998041},"labels":[],"label_agreement":null},{"id":"W4297542002","doi":"10.1111/jiec.13331","title":"ECOPT <sup>2</sup> : An adaptable life cycle assessment model for the environmentally constrained optimization of prospective technology transitions","year":2022,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"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":"Industrial ecology; Supply chain; Software deployment; Life-cycle assessment; Computer science; Emerging technologies; Stylized fact; Environmental economics; Scale (ratio); Risk analysis (engineering); Systems engineering; Business; Production (economics); Sustainability; Engineering; Economics; Marketing","score_opus":0.01872820268475883,"score_gpt":0.25676254762326034,"score_spread":0.2380343449385015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297542002","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9562932,0.000023772947,0.037903123,0.0037981956,0.00012988682,0.0012561332,0.00012930212,0.00001195578,0.00045442945],"genre_scores_gemma":[0.9945142,0.000013574468,0.0049970406,0.00017893553,0.000060560444,0.00011351413,0.000010781299,0.000016303726,0.00009508359],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983303,0.00020239448,0.00063964265,0.00020727384,0.00031555022,0.00030484074],"domain_scores_gemma":[0.9990147,0.00013135288,0.0004989049,0.00021082035,0.000018857098,0.00012536882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010803286,0.00014853131,0.00033476952,0.000098279255,0.0004862255,0.000012621401,0.00039845984,0.00016399455,0.0035322013],"category_scores_gemma":[0.00011765445,0.00012270431,0.00014202803,0.00022053861,0.00059935433,0.00031621853,0.00017766189,0.0005524906,0.0000010404679],"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":[0.00030762062,0.0007599348,0.016955553,0.0000018639728,0.000058284124,0.000003912235,0.000629669,0.97780764,0.00034913502,0.00024657624,0.00025275018,0.0026270777],"study_design_scores_gemma":[0.0027978604,0.0025332558,0.0046782214,0.000002015391,0.00011922181,0.000060507293,0.009812165,0.97816324,0.000062766994,0.0013889716,0.00025579327,0.00012596109],"about_ca_topic_score_codex":0.000025716381,"about_ca_topic_score_gemma":0.000018787929,"teacher_disagreement_score":0.038221005,"about_ca_system_score_codex":0.001218692,"about_ca_system_score_gemma":0.00027069633,"threshold_uncertainty_score":0.9973787},"labels":[],"label_agreement":null},{"id":"W4297826655","doi":"10.3390/resources11080076","title":"Absolute Environmental Sustainability of Materials Dissipation: Application for Construction Sector","year":2022,"lang":"en","type":"article","venue":"Resources","topic":"Environmental Impact and Sustainability","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":"Concordia University; Université du Québec à Montréal","funders":"","keywords":"Dissipation; Sustainability; Resource (disambiguation); Operationalization; Environmental economics; Environmental science; Natural resource economics; Computer science; Economics; Thermodynamics; Physics; Ecology","score_opus":0.0049095837671991,"score_gpt":0.2205680268699178,"score_spread":0.2156584431027187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297826655","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670154,0.000020097785,0.0011289943,0.00016831413,0.00005365152,0.0012588361,0.00019795884,0.000023190865,0.00044740245],"genre_scores_gemma":[0.9985664,0.0000022347806,0.0003757052,0.00003025547,0.00002858845,0.0005726144,0.00007542671,0.000012622159,0.00033616042],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99884015,0.00011009771,0.0002748124,0.00028236306,0.00028576216,0.00020683551],"domain_scores_gemma":[0.99943465,0.000049204416,0.00017399188,0.00028006415,0.0000029885537,0.000059083206],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00041066867,0.00010867993,0.00014735383,0.000024580548,0.00032627213,0.0000105720665,0.00017111503,0.000033686276,0.0035511248],"category_scores_gemma":[0.000030485822,0.000111064626,0.00005629971,0.00009312256,0.0003586517,0.00012246556,0.000262083,0.000056468405,0.000007230122],"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":[0.0007926829,0.0010547144,0.4873448,0.00022705326,0.000040455605,0.0000019283034,0.0053855707,0.013292434,0.44296607,0.00072558835,0.0005458594,0.047622815],"study_design_scores_gemma":[0.0008470001,0.00059682934,0.7663942,0.0000019370398,0.000043799715,0.000015439757,0.009196501,0.0006224872,0.09311142,0.010151299,0.11864011,0.00037899055],"about_ca_topic_score_codex":0.00019515581,"about_ca_topic_score_gemma":0.000006147551,"teacher_disagreement_score":0.34985468,"about_ca_system_score_codex":0.0008919591,"about_ca_system_score_gemma":0.000008926673,"threshold_uncertainty_score":0.99735975},"labels":[],"label_agreement":null},{"id":"W4297878152","doi":"10.1016/j.cjco.2022.09.001","title":"A Case of Dilated Cardiomyopathy Associated With Chronic Toluene Exposure","year":2022,"lang":"en","type":"article","venue":"CJC Open","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"Centre Hospitalier de l’Université de Montréal; Université de Montréal","funders":"","keywords":"Dilated cardiomyopathy; Cardiology; Medicine; Internal medicine; Cardiomyopathy; Toluene; Heart failure; Chemistry","score_opus":0.009962107197398635,"score_gpt":0.23884622575658015,"score_spread":0.22888411855918153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4297878152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98655474,0.000049439728,0.000009341229,0.000056400913,0.00003068247,0.000622745,0.0000509809,0.000016866798,0.012608801],"genre_scores_gemma":[0.9980707,0.0000016692485,0.00005208945,0.0000673092,0.000005568731,0.00009104725,0.000024404293,0.000015928385,0.0016712438],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99886304,0.00018381793,0.00017531095,0.00026847015,0.00025044577,0.00025892857],"domain_scores_gemma":[0.99939275,0.000028495715,0.00010490344,0.00037823085,0.0000041765275,0.000091471935],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004916756,0.00011833328,0.00025057627,0.000016317634,0.00027884892,0.000025822817,0.0004149295,0.000030048928,0.0053169006],"category_scores_gemma":[0.000031037693,0.00010332712,0.00004781798,0.00032265577,0.00018298581,0.00023344505,0.0013454502,0.00015041309,0.000018937602],"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":[0.00034844645,0.0009848143,0.94212854,0.000023546743,0.00017095746,0.0056470763,0.0038230289,0.025467014,0.00790659,0.000048948008,0.0015966158,0.01185443],"study_design_scores_gemma":[0.0055088345,0.0045576883,0.96501714,0.000023254725,0.00017024617,0.0022847415,0.0051398263,0.001452267,0.0044599217,0.00048562957,0.009973661,0.00092679495],"about_ca_topic_score_codex":0.0025455125,"about_ca_topic_score_gemma":0.0005393571,"teacher_disagreement_score":0.024014747,"about_ca_system_score_codex":0.0012235945,"about_ca_system_score_gemma":0.00003765831,"threshold_uncertainty_score":0.99559236},"labels":[],"label_agreement":null},{"id":"W4298038908","doi":"","title":"Analysing LCIA methods for water use impacts","year":2015,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal; Université Laval","funders":"","keywords":"Computer science; Environmental science","score_opus":0.029134916067678464,"score_gpt":0.3065346193944598,"score_spread":0.2773997033267813,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4298038908","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7232077,0.00021018738,0.25941795,0.0029099446,0.0001591655,0.00092199957,0.00005635682,0.00013905058,0.012977643],"genre_scores_gemma":[0.7108136,0.000082713574,0.27828625,0.00014658761,0.000018740871,0.0000944276,0.00055689487,0.00006258789,0.0099382065],"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99216616,0.005309745,0.00055177696,0.0009119838,0.00040009784,0.000660247],"domain_scores_gemma":[0.9957743,0.0009903716,0.00030478465,0.0021805966,0.00031005568,0.00043986563],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.01222535,0.0004205415,0.00047741208,0.000099029734,0.00037073734,0.0005085453,0.0009961908,0.00034036615,0.0007485257],"category_scores_gemma":[0.0026683214,0.00035854641,0.00034632307,0.0002047651,0.00047730972,0.00043416407,0.002856265,0.0005014823,0.00008932291],"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":[0.00029378204,0.004775845,0.25538573,0.0010120427,0.0008112742,0.000025223544,0.10839022,0.01187238,0.20826988,0.0054214047,0.0182909,0.38545132],"study_design_scores_gemma":[0.002077027,0.00000402567,0.07913781,0.00081947405,0.0005408545,0.000021554375,0.00088448246,0.10280992,0.6220726,0.05882763,0.13017438,0.002630278],"about_ca_topic_score_codex":0.0035661496,"about_ca_topic_score_gemma":0.0011107011,"teacher_disagreement_score":0.41380268,"about_ca_system_score_codex":0.0010053087,"about_ca_system_score_gemma":0.00008335692,"threshold_uncertainty_score":0.99988663},"labels":[],"label_agreement":null},{"id":"W4300414565","doi":"","title":"FROM DETAILED LCA TO SIMPLIFIED MODEL: AN ORIENTED DECISION MAKERS APPROACH TO ASSESS ENERGY PATHWAYS","year":2013,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Computer science; Energy (signal processing); Decision model; Machine learning; Mathematics","score_opus":0.02722786075060665,"score_gpt":0.2511732551383291,"score_spread":0.22394539438772246,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4300414565","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69023067,0.0000012611688,0.29100668,0.000087542874,0.00003946943,0.0004605233,0.000012920357,0.00008001299,0.018080954],"genre_scores_gemma":[0.9201729,0.0000011690137,0.07637509,0.0020052462,0.000026950038,0.00016409774,0.00004768466,0.000032645312,0.0011741957],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99757886,0.00008474412,0.000345802,0.0008160321,0.00057346636,0.00060106657],"domain_scores_gemma":[0.99806136,0.000062369494,0.00004347131,0.00086022785,0.000012056482,0.0009605069],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022050737,0.00029094203,0.00026181573,0.00005146141,0.00016367326,0.00011140332,0.00047744464,0.00012912518,0.0036200278],"category_scores_gemma":[0.00007419705,0.00023536492,0.00007755431,0.00032312176,0.00008767125,0.0007047841,0.0006033929,0.00010260048,0.0009368829],"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":[0.00048268892,0.003298283,0.13899167,0.0000105024155,0.00005096749,0.000012401722,0.0063232454,0.44442117,0.23578589,0.0023932147,0.026122387,0.14210759],"study_design_scores_gemma":[0.001294504,0.00059250835,0.4360234,0.000009752476,0.000031736086,0.0000033917381,0.0076420894,0.5058219,0.019175489,0.023123575,0.0048508053,0.0014308603],"about_ca_topic_score_codex":0.0055533927,"about_ca_topic_score_gemma":0.00046215885,"teacher_disagreement_score":0.29703176,"about_ca_system_score_codex":0.00061127055,"about_ca_system_score_gemma":0.000014183499,"threshold_uncertainty_score":0.999841},"labels":[],"label_agreement":null},{"id":"W4301397206","doi":"10.1111/1477-9552.12511","title":"Energy productivity and greenhouse gas emission intensity in Dutch dairy farms: A Hicks–Moorsteen by‐production approach under non‐convexity and convexity with equivalence results","year":2022,"lang":"en","type":"article","venue":"Journal of Agricultural Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"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":"","keywords":"Greenhouse gas; Convexity; Emission intensity; Production (economics); Economics; Productivity; Agricultural productivity; Energy intensity; Equivalence (formal languages); Natural resource economics; Agriculture; Econometrics; Energy (signal processing); Microeconomics; Mathematics; Engineering; Financial economics; Statistics","score_opus":0.008566647912192886,"score_gpt":0.18723652425961718,"score_spread":0.1786698763474243,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4301397206","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99744713,0.00006358731,0.00004252971,0.00191555,0.00009571383,0.00022002986,0.000013691221,0.000007977584,0.00019378301],"genre_scores_gemma":[0.998919,0.00022524675,0.00030776355,0.000094253686,0.000056219436,0.0000063735215,0.000009103852,0.00000907964,0.00037296684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847114,0.00012355328,0.0004608596,0.00046702364,0.00020514306,0.0002722983],"domain_scores_gemma":[0.99910676,0.000033828073,0.00045406236,0.00018966798,0.000019679233,0.00019597699],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009351578,0.00021447371,0.00035292577,0.00004070125,0.00024865475,0.00004403318,0.00017674964,0.000065221415,0.000025272571],"category_scores_gemma":[0.00004821996,0.00014547381,0.000049778057,0.00015497702,0.0003960312,0.00090151705,0.0004441207,0.00046809934,4.7309882e-7],"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":[0.004405638,0.0020520505,0.90454924,0.00011391814,0.000120730954,0.00002880774,0.008647322,0.037453867,0.028543498,0.00002993091,0.004567886,0.0094871335],"study_design_scores_gemma":[0.0013114832,0.00071395724,0.98223364,0.000013241271,0.000031294523,0.0008320961,0.009076989,0.00065994414,0.0038862897,0.000534307,0.00038729387,0.00031947732],"about_ca_topic_score_codex":0.000960583,"about_ca_topic_score_gemma":0.00028748854,"teacher_disagreement_score":0.07768441,"about_ca_system_score_codex":0.0010697321,"about_ca_system_score_gemma":0.000025246525,"threshold_uncertainty_score":0.593225},"labels":[],"label_agreement":null},{"id":"W4306693662","doi":"10.1002/ieam.4701","title":"Relative sensitivity value (RSV): A metric for measuring input parameter influence in life cycle assessment modeling","year":2022,"lang":"en","type":"article","venue":"Integrated Environmental Assessment and Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"Metric (unit); Sensitivity (control systems); Value (mathematics); Environmental science; Statistics; Mathematics; Reliability engineering; Engineering; Operations management; Electronic engineering","score_opus":0.01414181700291889,"score_gpt":0.2639222602351381,"score_spread":0.2497804432322192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4306693662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96786,0.00006484824,0.026088843,0.00032340587,0.000105112085,0.0022415342,0.00006831127,0.000060891245,0.0031870594],"genre_scores_gemma":[0.9850756,0.00016432162,0.01262605,0.00058878644,0.000011026792,0.0010918912,0.00009538952,0.000048987447,0.00029795876],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9961871,0.0004981653,0.00064097246,0.0010166825,0.00090715487,0.000749926],"domain_scores_gemma":[0.9989254,0.00018638777,0.00018231446,0.00044260797,0.00000383964,0.00025949086],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017704779,0.00048088309,0.00043911737,0.00024865437,0.00062006654,0.00009550586,0.00028138843,0.0000836805,0.0005958543],"category_scores_gemma":[0.000035089637,0.00048215568,0.00015453204,0.0004904756,0.0002384548,0.00080971426,0.0015476055,0.0006154044,0.000013908971],"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":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013312153,0.001202454,0.23338221,0.00005757501,0.00015037118,0.000082383296,0.0005276452,0.74923044,0.0017856562,0.0010344547,0.000060788967,0.012352898],"study_design_scores_gemma":[0.0016496999,0.00035701715,0.44663796,0.000020581943,0.00009907997,0.000009749171,0.0045481557,0.5419852,0.000063384156,0.002978913,0.0010629107,0.0005873445],"about_ca_topic_score_codex":0.000878337,"about_ca_topic_score_gemma":0.0000735851,"teacher_disagreement_score":0.21325575,"about_ca_system_score_codex":0.0048614396,"about_ca_system_score_gemma":0.000026625372,"threshold_uncertainty_score":0.999763},"labels":[],"label_agreement":null},{"id":"W4307899837","doi":"10.1016/j.jclepro.2022.134924","title":"Development of a multi-region blue/grey water management system -- Application to the Yangtze River Economic Belt","year":2022,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Virtual water; Water scarcity; Water resources; Water use; Context (archaeology); Environmental science; Water resource management; Water quality; Resource (disambiguation); Environmental engineering; Geography; Computer science","score_opus":0.009765816303485504,"score_gpt":0.2175710127961906,"score_spread":0.2078051964927051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4307899837","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9939403,0.000011734406,0.0041460395,0.00095930626,0.00029505242,0.00049351575,7.4184385e-7,0.000007009996,0.00014631527],"genre_scores_gemma":[0.9961662,0.0000030265564,0.0028352255,0.000046869507,0.00008098554,0.000036823436,0.0000025916343,0.000009648511,0.00081861747],"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","domain_scores_codex":[0.99884075,0.00009090244,0.00042009173,0.00017976148,0.0003158803,0.00015261631],"domain_scores_gemma":[0.99945164,0.0000039180904,0.00023721537,0.00024206688,0.000009418895,0.000055717323],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009996364,0.00008936863,0.0001202888,0.000056364464,0.00025551123,0.000010218917,0.00023339567,0.000016280032,0.00010434136],"category_scores_gemma":[0.0000046495584,0.000058162263,0.000059792867,0.00006764917,0.000063162246,0.00019115565,0.0002734942,0.000118731085,0.00005967101],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044153736,0.0006580262,0.021212168,0.00012656103,0.00012579442,0.000013400181,0.028181462,0.69276273,0.022980923,0.000044970093,0.0035685063,0.22988392],"study_design_scores_gemma":[0.0012412771,0.00044860344,0.38199726,0.000034396628,0.00015430851,0.000579726,0.038047627,0.0024930777,0.11170286,0.00010522549,0.46272206,0.00047356475],"about_ca_topic_score_codex":0.000039676463,"about_ca_topic_score_gemma":0.000027237977,"teacher_disagreement_score":0.69026965,"about_ca_system_score_codex":0.0016798326,"about_ca_system_score_gemma":0.000008668091,"threshold_uncertainty_score":0.43927038},"labels":[],"label_agreement":null},{"id":"W4308483481","doi":"10.1088/1748-9326/ac9fe3","title":"The rise of phase-out as a critical decarbonisation approach: a systematic review","year":2022,"lang":"en","type":"review","venue":"Environmental Research Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":66,"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":"Japan Society for the Promotion of Science","keywords":"Context (archaeology); Climate change; Scholarship; Sustainability; Political science; Bridging (networking); Phase (matter); Climate change mitigation; Environmental resource management; Environmental planning; Environmental ethics; Economics; Economic growth; Environmental science; Geography; Ecology; Computer science","score_opus":0.10034983586641989,"score_gpt":0.43148128567630095,"score_spread":0.3311314498098811,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4308483481","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00016549429,0.9911534,0.000021688204,0.0003676236,0.00008668724,0.0061771297,0.000080279715,0.00002268159,0.0019249675],"genre_scores_gemma":[0.00036901966,0.99558854,0.00007110726,0.00026804477,0.000036587615,0.0025944426,0.00012582476,0.00009746389,0.00084895035],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.987983,0.0050385203,0.0014668669,0.0009578948,0.0034033633,0.0011503369],"domain_scores_gemma":[0.99466234,0.0027128062,0.00045657344,0.00178745,0.000002493771,0.00037831414],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0068417834,0.00061264564,0.0018547787,0.00012232574,0.0010208518,0.00009403682,0.001755566,0.00016931343,0.004845263],"category_scores_gemma":[0.0019658187,0.00041759503,0.00087918,0.00047691073,0.0037262947,0.00025151207,0.0019754153,0.0015907508,0.0010044314],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000055399134,0.0026000093,0.000058901052,0.7733244,0.00037779205,0.00014002944,0.0008217569,0.000006806758,0.000117197415,0.00010251059,0.009019301,0.21337596],"study_design_scores_gemma":[0.0003487833,0.00044661306,0.00001590778,0.031738147,0.0012053526,0.00008321241,0.0007499627,0.000038045397,0.000009494811,0.00012798328,0.96456885,0.000667641],"about_ca_topic_score_codex":0.000096132484,"about_ca_topic_score_gemma":0.000003035177,"teacher_disagreement_score":0.95554954,"about_ca_system_score_codex":0.004282667,"about_ca_system_score_gemma":0.000066881505,"threshold_uncertainty_score":0.99982756},"labels":[],"label_agreement":null},{"id":"W4309220893","doi":"10.21203/rs.3.rs-2273783/v1","title":"Carbon footprint assessment of a wood multi-residential building considering biogenic carbon","year":2022,"lang":"en","type":"preprint","venue":"Research Square","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Greenhouse gas; Carbon footprint; Life-cycle assessment; Environmental science; Carbon sequestration; Carbon neutrality; Incineration; Carbon fibers; Environmental engineering; Production (economics); Waste management; Engineering; Computer science; Ecology; Carbon dioxide","score_opus":0.05878876023014742,"score_gpt":0.4099509351311526,"score_spread":0.3511621749010052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309220893","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913148,0.000369873,0.00007365974,0.00016256738,0.00024832707,0.0019638326,0.000052755866,0.00006280466,0.0057513756],"genre_scores_gemma":[0.9960029,0.00015728029,0.002931279,0.0000063947036,0.0000606969,0.00041771852,0.00002835068,0.000070643204,0.00032473428],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99304384,0.0012556338,0.00070762815,0.0011923936,0.0026522377,0.0011482746],"domain_scores_gemma":[0.99761295,0.0002740518,0.00025704692,0.0014553581,0.00004147575,0.0003591068],"candidate_categories":["metaepi_narrow","open_science","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0034155836,0.00042832678,0.0006014011,0.00033401547,0.0003238193,0.000100964346,0.001012286,0.00030455226,0.0017814322],"category_scores_gemma":[0.0003785983,0.00045469194,0.00034200124,0.0005180662,0.00084927503,0.000050810275,0.012521561,0.0024011387,0.000004248705],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007045904,0.00090974494,0.88370866,0.0010137095,0.00013829971,0.0001763076,0.0014090211,0.029547555,0.08082231,0.0001270085,0.00001542496,0.0020615074],"study_design_scores_gemma":[0.0011614566,0.0005789697,0.9424465,0.0002652047,0.000070057315,0.000011710393,0.00476001,0.02169334,0.025291601,0.0021124787,0.0007099314,0.0008987727],"about_ca_topic_score_codex":0.028482717,"about_ca_topic_score_gemma":0.00095052173,"teacher_disagreement_score":0.058737814,"about_ca_system_score_codex":0.0050939783,"about_ca_system_score_gemma":0.00033318237,"threshold_uncertainty_score":0.99990034},"labels":[],"label_agreement":null},{"id":"W4309306766","doi":"10.1073/pnas.2123486119","title":"Mitigation and adaptation emissions embedded in the broader climate transition","year":2022,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Bundesministerium für Bildung und Forschung; National Science Foundation","keywords":"Adaptation (eye); Climate change; Climate change adaptation; Environmental science; Transition (genetics); Environmental resource management; Natural resource economics; Climatology; Chemistry; Economics; Ecology; Psychology; Geology; Biology","score_opus":0.025700245069267824,"score_gpt":0.28214240146749575,"score_spread":0.2564421563982279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309306766","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99241084,0.000018685669,0.0000010462429,0.0040928656,0.000004174673,0.00019516202,0.0000079880965,0.0000027250278,0.0032665373],"genre_scores_gemma":[0.9991224,0.00001082193,0.00038340373,0.00043302577,0.000005803885,0.000021336418,2.8413376e-7,0.0000013880411,0.000021528977],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99872065,0.000024597077,0.00018550981,0.00013662207,0.0008317912,0.00010081709],"domain_scores_gemma":[0.99977344,0.0000570366,0.00014128283,0.0000057938882,0.000006648532,0.000015819487],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017510059,0.0000471504,0.000053462805,0.00003872936,0.00038780476,0.000011599563,0.00028781022,0.000021366028,0.00011070685],"category_scores_gemma":[0.00009727488,0.000029505765,0.000026446347,0.00047783268,0.0006051936,0.00039035443,0.00012253418,0.00012571373,4.1202358e-7],"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":[0.00009724229,0.0005154782,0.32965478,0.00010637566,0.000008335017,4.062683e-8,0.04937033,0.033173103,0.5592786,0.021222875,0.0010401667,0.0055326675],"study_design_scores_gemma":[0.00018174811,0.000060388073,0.91279393,0.000010400529,0.000006492556,0.000009401794,0.016875673,0.016120523,0.00940154,0.044359706,0.000116739415,0.00006344334],"about_ca_topic_score_codex":0.000019298446,"about_ca_topic_score_gemma":3.2160807e-7,"teacher_disagreement_score":0.5831392,"about_ca_system_score_codex":0.00008671696,"about_ca_system_score_gemma":0.000004947609,"threshold_uncertainty_score":0.29827198},"labels":[],"label_agreement":null},{"id":"W4309341823","doi":"10.1007/s11367-022-02107-z","title":"An instrumental value-based framework for assessing the damages of abiotic resources use in life cycle assessment","year":2022,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal; Université du Québec à Montréal","funders":"","keywords":"Damages; Natural resource; Risk analysis (engineering); Environmental economics; Backup; Operationalization; Resource (disambiguation); Business; Life-cycle assessment; Environmental resource management; Computer science; Economics; Production (economics)","score_opus":0.0191277220246326,"score_gpt":0.3435062631165013,"score_spread":0.3243785410918687,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4309341823","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98688585,0.000029376706,0.0053423773,0.0066419714,0.00041701406,0.0004108849,0.00003735048,0.000008090176,0.00022710774],"genre_scores_gemma":[0.98807424,0.000010079573,0.009866566,0.0018474729,0.000119432654,0.00003492996,0.000010401598,0.00002311401,0.000013755253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9962846,0.00067105633,0.00084401,0.00023271755,0.0016758472,0.0002917641],"domain_scores_gemma":[0.99759513,0.0009653809,0.0008482383,0.0003908283,0.000038977178,0.00016142262],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029039788,0.00019270799,0.0002820515,0.000104166225,0.0003637639,0.000241317,0.0015132433,0.000046594563,0.0007391106],"category_scores_gemma":[0.00026906084,0.00013050214,0.00020677998,0.00019781251,0.0003394872,0.0007684605,0.0005100536,0.0006206504,0.0000010398252],"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":[0.00018798791,0.0012986171,0.6029879,0.000009570725,0.00010797285,0.000014770698,0.0010165594,0.3885488,0.0017923975,0.0011625498,0.000102117854,0.002770781],"study_design_scores_gemma":[0.001105763,0.00043818884,0.9117832,0.000031688654,0.00004184634,0.000015333922,0.00900707,0.0700222,0.00021945065,0.0066686254,0.00051512156,0.00015148506],"about_ca_topic_score_codex":0.00048989546,"about_ca_topic_score_gemma":0.00003673366,"teacher_disagreement_score":0.3185266,"about_ca_system_score_codex":0.001696553,"about_ca_system_score_gemma":0.0002546949,"threshold_uncertainty_score":0.80927426},"labels":[],"label_agreement":null},{"id":"W4310201929","doi":"10.1016/j.wasman.2022.11.018","title":"Parametrized regionalization of paper recycling life-cycle assessment","year":2022,"lang":"en","type":"article","venue":"Waste Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; cardboard; Newsprint; Life cycle inventory; Engineering; Environmental impact assessment; Resource (disambiguation); Process (computing); Waste management; Environmental science; Production (economics); Environmental economics; Computer science; Economics; Pulp and paper industry","score_opus":0.008971605201171849,"score_gpt":0.24506667574678961,"score_spread":0.23609507054561776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310201929","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9248679,0.00003770784,0.0027855106,0.0006432172,0.000135063,0.0006596068,0.000006048197,0.00003302141,0.07083192],"genre_scores_gemma":[0.9934753,0.000032011554,0.002898586,0.0005578616,0.000010904118,0.00009603677,0.000021830352,0.0000135019245,0.002893921],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9984236,0.00015198892,0.00029075574,0.0002843826,0.00062615157,0.00022312849],"domain_scores_gemma":[0.99939287,0.000029304003,0.00013228298,0.0003624776,0.0000024689928,0.000080616715],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006021579,0.000111105735,0.0001407747,0.000054751432,0.00021392657,0.0000132812565,0.00023856298,0.000017469438,0.008172413],"category_scores_gemma":[0.000016821232,0.000113325514,0.00007606887,0.00036844835,0.000091086986,0.00015337148,0.0009138194,0.00009911255,0.000025093339],"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":[0.00018135234,0.0016391652,0.15507884,0.00015930625,0.00015643625,0.000038007325,0.0009742353,0.78384423,0.0020989736,0.008427259,0.008056888,0.03934531],"study_design_scores_gemma":[0.0040943786,0.0007402983,0.7006357,0.000026858494,0.00021355205,0.000006831377,0.025546862,0.053648897,0.00057541387,0.017808892,0.19569804,0.0010043343],"about_ca_topic_score_codex":0.00011213885,"about_ca_topic_score_gemma":0.0000045317684,"teacher_disagreement_score":0.73019534,"about_ca_system_score_codex":0.00058936165,"about_ca_system_score_gemma":0.0000055626642,"threshold_uncertainty_score":0.99273425},"labels":[],"label_agreement":null},{"id":"W4310595455","doi":"10.1021/acs.est.2c05255","title":"Material Stock and Embodied Greenhouse Gas Emissions of Global and Urban Road Pavement","year":2022,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"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":"Norges Forskningsråd; Norges Teknisk-Naturvitenskapelige Universitet","keywords":"Stock (firearms); Per capita; Greenhouse gas; Agricultural economics; Environmental science; Population; Natural resource economics; Geography; Business; Environmental engineering; Economics; Ecology","score_opus":0.004734432232015029,"score_gpt":0.21992576296374242,"score_spread":0.2151913307317274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310595455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99771065,0.000100312915,0.000016375407,0.00046009265,0.00008114631,0.0004281702,0.00009871794,0.00005585241,0.0010487152],"genre_scores_gemma":[0.9991695,0.000047320867,0.00045908088,0.000088722874,0.000007365287,0.00005952759,0.0000052533437,0.000011199411,0.00015198796],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977507,0.00005745624,0.0003038746,0.0006895645,0.00063077745,0.0005676561],"domain_scores_gemma":[0.9991761,0.00000941232,0.00013674909,0.00045119884,9.451972e-7,0.00022563053],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00046000897,0.00022000504,0.00023102417,0.00009320723,0.00084758276,0.000022249384,0.00053373893,0.000076999626,0.0026486744],"category_scores_gemma":[0.000022218865,0.00021226906,0.000034938534,0.000555901,0.0052351644,0.00027245996,0.0036283967,0.00018899403,0.0000127100675],"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":[0.000030872714,0.00032639087,0.80926335,0.000004135762,0.000005153309,0.0000121919,0.00030310464,0.00006669296,0.17267115,0.00030282256,0.00008816606,0.01692599],"study_design_scores_gemma":[0.00089299824,0.0015000558,0.948937,0.0000049534956,0.000032331933,0.00017885894,0.0051183673,0.00043212448,0.03227573,0.0040797894,0.006042519,0.0005052493],"about_ca_topic_score_codex":0.00023331803,"about_ca_topic_score_gemma":0.000015277627,"teacher_disagreement_score":0.14039542,"about_ca_system_score_codex":0.0013274689,"about_ca_system_score_gemma":0.000019108855,"threshold_uncertainty_score":0.99826306},"labels":[],"label_agreement":null},{"id":"W4310612924","doi":"10.1007/978-3-031-20506-4","title":"Responsible Engineering and Living","year":2022,"lang":"en","type":"book","venue":"Springer proceedings in energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Windsor","funders":"","keywords":"Summit; Living systems; Engineering ethics; Engineering; Engineering management; Environmental ethics; Computer science; Philosophy; Geography; Cartography; Artificial intelligence","score_opus":0.004097742135206409,"score_gpt":0.181769431986908,"score_spread":0.1776716898517016,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4310612924","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.1747681,0.0006880934,0.000013018522,0.0000871332,0.00019393918,0.00023275358,0.000004577241,0.00012618439,0.8238862],"genre_scores_gemma":[0.15182003,0.0005995633,0.0013769275,0.00024374759,0.00014286759,0.00013608845,0.000006415055,0.00015570165,0.84551865],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.998317,0.000009299785,0.00026980258,0.0005847955,0.0003747354,0.00044434032],"domain_scores_gemma":[0.99954396,0.000069769994,0.00009712906,0.0001556465,0.000002966174,0.00013050348],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00049529533,0.00031227304,0.00028422044,0.00015648798,0.00010162182,0.000051246046,0.00027352208,0.00018443074,0.003340728],"category_scores_gemma":[0.00012764099,0.00035462776,0.000059063394,0.00015443745,0.00013771975,0.0002535935,0.0014543006,0.00048439376,0.000014280979],"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":[0.0004105911,0.0011070216,0.593525,0.002199781,0.00025990067,0.00059889257,0.017255964,0.027772449,0.024969133,0.15358044,0.081692025,0.0966288],"study_design_scores_gemma":[0.0001436918,0.00010098574,0.034725413,0.000117214695,0.00001675942,0.000025003976,0.00017489828,0.0009053065,0.00021463985,0.0035260762,0.95938253,0.00066746294],"about_ca_topic_score_codex":0.00019839699,"about_ca_topic_score_gemma":0.00003850983,"teacher_disagreement_score":0.87769055,"about_ca_system_score_codex":0.0019262892,"about_ca_system_score_gemma":0.000036344016,"threshold_uncertainty_score":0.99989057},"labels":[],"label_agreement":null},{"id":"W4311924754","doi":"10.1007/s11356-022-24808-6","title":"Correction to: Effects of bisphenol A on human umbilical arteries","year":2022,"lang":"en","type":"erratum","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Health Sciences Centre","funders":"","keywords":"Ecotoxicology; Bisphenol A; Bisphenol S; Medicine; Internal medicine; Obstetrics; Toxicology; Biology; Chemistry; Organic chemistry","score_opus":0.022200100618228306,"score_gpt":0.34241927458148863,"score_spread":0.32021917396326033,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4311924754","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93299025,0.00013649635,0.000006310961,0.00061388564,0.0056961,0.0017092613,0.000067215995,0.00003477739,0.058745686],"genre_scores_gemma":[0.90199065,0.00015038758,0.000022148679,0.00030014402,0.00011674812,0.000169011,0.000036899506,0.000029648141,0.09718438],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99340147,0.000424267,0.00036706752,0.0011079028,0.003730075,0.0009692413],"domain_scores_gemma":[0.998496,0.00013751879,0.000117023694,0.000705392,0.000007475929,0.0005366075],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts"],"category_scores_codex":[0.0025109975,0.0003264674,0.0003437654,0.00037879948,0.0018809091,0.00009271502,0.0007661714,0.00017498127,0.006807454],"category_scores_gemma":[0.00051641697,0.00030885014,0.00009198196,0.0011453863,0.0056776903,0.00033953405,0.0021128384,0.0013988459,0.00031436796],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012834372,0.0010661159,0.008176623,0.000093700306,0.0000130182225,0.000027810884,0.002143206,0.00013570963,0.14112845,0.000100861864,0.82012165,0.026864523],"study_design_scores_gemma":[0.00033277037,0.003527405,0.5504598,0.00007966502,0.00001631636,0.000014698865,0.0015883545,0.00013893931,0.010347588,0.000323936,0.43267676,0.00049374084],"about_ca_topic_score_codex":0.0011228062,"about_ca_topic_score_gemma":0.0000840843,"teacher_disagreement_score":0.5422832,"about_ca_system_score_codex":0.00406687,"about_ca_system_score_gemma":0.000104332474,"threshold_uncertainty_score":0.99993634},"labels":[],"label_agreement":null},{"id":"W4312117251","doi":"10.3390/su15010171","title":"A Comprehensive Sustainability Assessment of Battery Electric Vehicles, Fuel Cell Electric Vehicles, and Internal Combustion Engine Vehicles through a Comparative Circular Economy Assessment Approach","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","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 Guelph","funders":"","keywords":"Sustainability; Internal combustion engine; Battery (electricity); Zero emission; Sustainable transport; Electric vehicle; Environmental economics; Sustainable development; Work (physics); Battery electric vehicle; Circular economy; Automotive engineering; Engineering; Economics; Mechanical engineering","score_opus":0.012587395386720232,"score_gpt":0.27190366820503886,"score_spread":0.25931627281831865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312117251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98564273,0.0006690683,0.005193532,0.00058901944,0.000054362044,0.0033002617,0.00004091003,0.000097118886,0.0044130227],"genre_scores_gemma":[0.99732697,0.00005020902,0.0014270463,0.00021363478,0.000031326217,0.00058341346,0.00008440928,0.00004747963,0.00023551432],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9931382,0.0019049271,0.0011688473,0.0015532777,0.00097392534,0.001260802],"domain_scores_gemma":[0.99724406,0.00040232998,0.0005806489,0.001146033,0.00028843034,0.00033849798],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0020321002,0.0007061263,0.0010757289,0.00020291813,0.00079059205,0.000106114094,0.0007343596,0.00017808874,0.0004598386],"category_scores_gemma":[0.00011851738,0.0007446081,0.00032749106,0.0012160136,0.00095028104,0.00086091616,0.0016648568,0.0013654081,0.0000024616702],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032979893,0.005648353,0.9157792,0.0030288969,0.00015138961,0.000050810988,0.0038608273,0.061653893,0.004257897,0.0009500861,0.0006526131,0.003636261],"study_design_scores_gemma":[0.0021193053,0.0016720261,0.89629,0.000005724048,0.00013087735,0.000037078524,0.01988298,0.04782982,0.0011770498,0.026034508,0.003984033,0.00083660893],"about_ca_topic_score_codex":0.0020124782,"about_ca_topic_score_gemma":0.000008346474,"teacher_disagreement_score":0.025084421,"about_ca_system_score_codex":0.016746853,"about_ca_system_score_gemma":0.00075522007,"threshold_uncertainty_score":0.9995005},"labels":[],"label_agreement":null},{"id":"W4312192000","doi":"10.1088/1755-1315/1122/1/012042","title":"Embodied Carbon: A call to the building industry","year":2022,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Built environment; Benchmarking; Process (computing); Architectural engineering; Engineering; Business; Environmental resource management; Environmental science; Computer science; Civil engineering","score_opus":0.011349426415173986,"score_gpt":0.22005629146545094,"score_spread":0.20870686505027697,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312192000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.985753,0.000036191712,0.000012699754,0.001886832,0.00014604817,0.00044207642,0.000033434942,0.000031220563,0.011658487],"genre_scores_gemma":[0.9958419,0.000019532783,0.0003393994,0.0011183314,0.000026416865,0.000091753864,0.0000039977044,0.0000120947225,0.0025465344],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9973004,0.00010321759,0.00022171393,0.0006950147,0.00093438185,0.00074529997],"domain_scores_gemma":[0.9989329,0.000023789025,0.00006813715,0.0005020081,0.0000020002424,0.00047118939],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079910306,0.00023965811,0.00016865776,0.000048659702,0.0017976898,0.00014027258,0.0007948222,0.000056190784,0.0036746156],"category_scores_gemma":[0.000042999978,0.00019227492,0.00003983512,0.00046704628,0.0022740723,0.0005015299,0.002658709,0.00054411136,0.00004912066],"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":[0.00029979192,0.0004640745,0.35922992,0.000015607866,0.000022010121,0.0000984694,0.013977031,0.01380375,0.53451246,0.0018781732,0.00069077406,0.07500795],"study_design_scores_gemma":[0.000398744,0.000793102,0.8668508,0.000005725163,0.000018833236,0.000198088,0.013478923,0.0016163529,0.032098453,0.0005468342,0.083263084,0.00073108944],"about_ca_topic_score_codex":0.0007260903,"about_ca_topic_score_gemma":0.00017258794,"teacher_disagreement_score":0.5076209,"about_ca_system_score_codex":0.00041553986,"about_ca_system_score_gemma":0.00004345807,"threshold_uncertainty_score":0.9995018},"labels":[],"label_agreement":null},{"id":"W4312366441","doi":"10.2139/ssrn.4297289","title":"Carbon Balance of China-Made Wood Products Assessed Using a Trade-Linked Approach","year":2022,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Forest Research Institute; Ministry of Energy, Northern Development and Mines","funders":"","keywords":"Balance (ability); China; Balance of trade; Carbon fibers; Environmental science; Business; Natural resource economics; Economics; Pulp and paper industry; International trade; Engineering; Geography; Materials science; Composite material; Medicine; Physical medicine and rehabilitation","score_opus":0.008593031159557386,"score_gpt":0.2244901082868087,"score_spread":0.2158970771272513,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4312366441","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961915,0.00041912028,0.00042367654,0.00035943367,0.000082940205,0.00030754504,0.0000036101253,0.000014272583,0.0021979276],"genre_scores_gemma":[0.998885,0.00009376233,0.00045644582,0.000033899145,0.00006096387,0.00001184698,0.000003914552,0.0000265156,0.00042768056],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9966918,0.00028667063,0.0003433079,0.00033807487,0.0006539047,0.001686193],"domain_scores_gemma":[0.99932975,0.000014212803,0.00025413654,0.00030191473,0.0000036044578,0.00009638039],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019344207,0.00019332698,0.0002562108,0.000052350886,0.00036004564,0.000019088387,0.00044402946,0.000046795893,0.00018489211],"category_scores_gemma":[0.000051297884,0.00018145464,0.000105450956,0.0004486536,0.00016894483,0.0001725895,0.00023735002,0.0017168741,0.0000012784946],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00043574604,0.0034646483,0.42828837,0.00009049704,0.00026018094,0.000020706295,0.004070563,0.066957906,0.48635268,0.0029465475,0.00006152008,0.007050638],"study_design_scores_gemma":[0.005180886,0.0034187434,0.8162509,0.000021626502,0.00031353006,0.004038227,0.027754314,0.0483766,0.010786693,0.08070588,0.001354345,0.0017982593],"about_ca_topic_score_codex":0.00040472628,"about_ca_topic_score_gemma":0.000028271304,"teacher_disagreement_score":0.475566,"about_ca_system_score_codex":0.0044371053,"about_ca_system_score_gemma":0.00046575864,"threshold_uncertainty_score":0.9993847},"labels":[],"label_agreement":null},{"id":"W4313406937","doi":"10.1016/j.scitotenv.2022.161315","title":"A factorial stepwise-clustering input-output model for unveiling water-carbon nexus from multi-policy perspectives","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China","keywords":"Nexus (standard); Supply chain; Environmental economics; Water supply; Sustainability; Carbon fibers; Business; Natural resource economics; Environmental science; Economics; Environmental engineering; Computer science; Marketing; Ecology","score_opus":0.02582285890946553,"score_gpt":0.2615371702471695,"score_spread":0.23571431133770396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313406937","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950372,0.00001632686,0.0020801988,0.0010113599,0.00026911832,0.0009552753,0.000042424297,0.000044670545,0.0005434431],"genre_scores_gemma":[0.99669755,0.000016019774,0.00077992055,0.000021906011,0.00010752264,0.000063067026,0.000003195738,0.000026285543,0.0022845378],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997272,0.00008245329,0.00033578018,0.00061940314,0.0009026099,0.0007877374],"domain_scores_gemma":[0.9986784,0.00009137654,0.00012969924,0.00093779084,0.00000486539,0.000157865],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001064864,0.00027086536,0.00023096665,0.00006299046,0.0006878156,0.000058926715,0.0011977821,0.000068949674,0.00010599689],"category_scores_gemma":[0.0001607548,0.00014922663,0.00019349143,0.00034215415,0.0026796388,0.00032410226,0.0023449892,0.0001844057,0.00007147661],"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":[0.000050799394,0.00012252989,0.00036451657,0.0000065909903,0.0000132917,4.3375113e-7,0.018785248,0.7473428,0.23257734,0.00002854037,0.0000114978475,0.00069641485],"study_design_scores_gemma":[0.00062720315,0.00008776589,0.026865806,0.000010683527,0.000033030767,0.0000015049586,0.0049354625,0.9221846,0.04044937,0.004513271,0.000027295275,0.00026401706],"about_ca_topic_score_codex":0.0009894818,"about_ca_topic_score_gemma":0.000009925891,"teacher_disagreement_score":0.19212797,"about_ca_system_score_codex":0.0013077664,"about_ca_system_score_gemma":0.000044213968,"threshold_uncertainty_score":0.9873241},"labels":[],"label_agreement":null},{"id":"W4313414664","doi":"10.3390/buildings13010041","title":"Feasibility of Planting Trees around Buildings as a Nature-Based Solution of Carbon Sequestration—An LCA Approach Using Two Case Studies","year":2022,"lang":"en","type":"article","venue":"Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":30,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Greenhouse gas; Life-cycle assessment; Carbon sequestration; Global warming; Environmental science; Carbon fibers; Natural gas; Environmental engineering; Carbon credit; Climate change; Engineering; Carbon dioxide; Waste management; Computer science; Ecology","score_opus":0.043589324404519604,"score_gpt":0.3346161932018959,"score_spread":0.29102686879737627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313414664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9982884,0.000118550066,0.0004028025,0.00003719347,0.00006287353,0.00050514773,0.00002336755,0.000034242552,0.0005274037],"genre_scores_gemma":[0.99111533,0.0000024088774,0.008725963,0.00006235316,0.000022195376,0.000022394966,0.000012701053,0.000018402254,0.000018254372],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978676,0.00026886738,0.0004591725,0.00050056004,0.00056766183,0.0003361356],"domain_scores_gemma":[0.99904543,0.000098201126,0.0003647687,0.0003785809,0.00001940036,0.000093625604],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013405838,0.0002149687,0.0003352076,0.000076381075,0.00039843153,0.000018922898,0.00023200872,0.000077950644,0.00007021046],"category_scores_gemma":[0.00019758541,0.00021765406,0.00010899214,0.00035815127,0.0005304334,0.0003410291,0.00036412905,0.00032935647,2.9754406e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021711383,0.0008244188,0.58835095,0.00013825738,0.00003837629,0.00008598705,0.0031428225,0.07430881,0.33207113,0.0003331992,0.0000135385235,0.00047539736],"study_design_scores_gemma":[0.007068614,0.0034036648,0.12700412,0.00014611756,0.000745692,0.003138575,0.09163346,0.4175723,0.33543518,0.0108187,0.0002955207,0.0027380695],"about_ca_topic_score_codex":0.0072709923,"about_ca_topic_score_gemma":0.00011378342,"teacher_disagreement_score":0.46134683,"about_ca_system_score_codex":0.0012316348,"about_ca_system_score_gemma":0.00004990863,"threshold_uncertainty_score":0.9993397},"labels":[],"label_agreement":null},{"id":"W4313435923","doi":"10.3390/su15010013","title":"Economic Indicators for Life Cycle Sustainability Assessment: Going beyond Life Cycle Costing","year":2022,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":36,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; University of British Columbia, Okanagan Campus; Okanagan University College; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Sustainability; Profitability index; Economic indicator; Activity-based costing; Environmental economics; Life cycle costing; Engineering; Operations management; Business; Operations research; Economics; Marketing","score_opus":0.005100966666487194,"score_gpt":0.268590832209631,"score_spread":0.2634898655431438,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313435923","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839621,0.000063376065,0.0010687028,0.0040456746,0.00031103432,0.004065546,0.00018824286,0.00024021152,0.006055064],"genre_scores_gemma":[0.99606436,0.0000037280165,0.00066312414,0.0008511752,0.00011104156,0.0014048863,0.00008908753,0.00008665121,0.00072593364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99381095,0.00086201204,0.0011157512,0.0016429258,0.0007889936,0.001779377],"domain_scores_gemma":[0.9962066,0.00074046204,0.0004798113,0.001510526,0.000067676665,0.0009949652],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048120553,0.00059479,0.000705867,0.00017863413,0.0025057467,0.00015354653,0.0010464983,0.0001786716,0.0066247205],"category_scores_gemma":[0.00409244,0.0006678922,0.00047409226,0.00067978713,0.001140728,0.0009060897,0.0025632586,0.0008469363,0.000032964235],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00027143615,0.0008803706,0.88618094,0.00031728984,0.00004613355,0.000012935229,0.0015680151,0.09529317,0.000018884366,0.0023964683,0.0013533598,0.011660976],"study_design_scores_gemma":[0.0017912784,0.00064896216,0.82289845,0.0000025461216,0.00007940747,0.0000071831587,0.022149673,0.019231088,0.000053828648,0.10938082,0.022748696,0.0010080811],"about_ca_topic_score_codex":0.0016382444,"about_ca_topic_score_gemma":0.0001578977,"teacher_disagreement_score":0.106984355,"about_ca_system_score_codex":0.03219397,"about_ca_system_score_gemma":0.0017767355,"threshold_uncertainty_score":0.9995772},"labels":[],"label_agreement":null},{"id":"W4313640631","doi":"10.1111/jiec.13369","title":"Can a small island nation build resilience? The significance of resource‐use patterns and socio‐metabolic risks in The Bahamas","year":2023,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"Energy Council of Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Context (archaeology); Resource (disambiguation); Material flow analysis; Vulnerability (computing); Natural resource economics; Business; Urban metabolism; Industrial ecology; Psychological resilience; Environmental resource management; Systemic risk; Sustainability; Environmental economics; Economics; Ecology; Financial crisis; Geography; Computer science; Biology","score_opus":0.05342806133453172,"score_gpt":0.2756057741042999,"score_spread":0.22217771276976822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313640631","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942335,0.000018458877,0.0000073897068,0.0052189827,0.00010366888,0.0003068278,0.000011301002,0.0000024086037,0.00009744574],"genre_scores_gemma":[0.9994502,0.00008562605,0.000013710868,0.0002682061,0.0001110757,0.000007772714,9.885576e-7,0.000005262613,0.00005716177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983196,0.0006376291,0.00042448766,0.0001233999,0.00025700766,0.00023786242],"domain_scores_gemma":[0.998665,0.0007661634,0.0003499676,0.00015697931,0.000009010276,0.000052915624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0024098828,0.00009333662,0.00020890104,0.00007046336,0.000114157694,0.000026449672,0.00031922627,0.00014330645,0.00012496741],"category_scores_gemma":[0.000819944,0.000053628755,0.000058507314,0.00031633975,0.00042003844,0.0001023136,0.00011696062,0.0004870881,0.00000279863],"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":[0.00008258703,0.000051471165,0.9898446,0.0000021134802,0.000008094873,0.000022545397,0.002596779,0.001939287,0.00048106228,0.00003395339,0.0006547919,0.004282679],"study_design_scores_gemma":[0.00074847456,0.00025687256,0.9911122,0.0000074261793,0.000019384977,0.000025823512,0.0049897935,0.00008116793,0.00023233268,0.0011008176,0.0013693181,0.00005642205],"about_ca_topic_score_codex":0.0022920754,"about_ca_topic_score_gemma":0.0047928933,"teacher_disagreement_score":0.005216679,"about_ca_system_score_codex":0.00015818731,"about_ca_system_score_gemma":0.000048429745,"threshold_uncertainty_score":0.34649476},"labels":[],"label_agreement":null},{"id":"W4313828115","doi":"10.1016/j.jenvman.2022.117197","title":"Forestry based products as climate change solution: Integrating life cycle assessment with techno-economic analysis","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; Natural Resources Canada; École Nationale d'Administration Publique; National Research Council Canada; Concordia University; Université du Québec à Montréal","funders":"Office of Energy Research and Development; Natural Resources Canada","keywords":"Biorefinery; Life-cycle assessment; Raw material; Biomass (ecology); Environmental science; Cost of electricity by source; Bioenergy; Pellets; Sugar; Greenhouse gas; Biofuel; Carbon footprint; Pulp and paper industry; Wood processing; Waste management; Forestry; Environmental engineering; Production (economics); Electricity generation; Engineering; Economics; Agronomy","score_opus":0.00937707656100231,"score_gpt":0.24839028220844697,"score_spread":0.23901320564744466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4313828115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920278,0.00003961231,0.00067353324,0.0014854764,0.00011197644,0.0006610483,0.000021594218,0.000051279178,0.0049276487],"genre_scores_gemma":[0.99400145,0.00020532528,0.0049888715,0.00033137918,0.00008145245,0.00006456947,0.000025960691,0.00003375779,0.00026724057],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99745905,0.00008716673,0.000638508,0.00045257196,0.00076977274,0.00059292413],"domain_scores_gemma":[0.998685,0.00003257037,0.0005156935,0.00049581693,0.0000029552048,0.00026796263],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009541357,0.0003186588,0.00039933715,0.0003146437,0.00026157737,0.000072704766,0.00042019336,0.000072026305,0.0021228346],"category_scores_gemma":[0.000009869979,0.00025786125,0.00023111772,0.00064910064,0.00030689957,0.00067121495,0.00052967976,0.00028244828,0.000378105],"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":[0.00022774126,0.0008217331,0.8429627,0.00010061752,0.00074173126,0.00039648198,0.00032473108,0.12932701,0.000979347,0.00018137187,0.00040028224,0.023536274],"study_design_scores_gemma":[0.0009523896,0.00059831084,0.9692554,0.000034484343,0.0005999348,0.00001811986,0.0024891864,0.02403743,0.00021526495,0.00020531262,0.0012478727,0.0003462829],"about_ca_topic_score_codex":0.00012651486,"about_ca_topic_score_gemma":0.000034583612,"teacher_disagreement_score":0.12629274,"about_ca_system_score_codex":0.0017701093,"about_ca_system_score_gemma":0.000016427291,"threshold_uncertainty_score":0.99998736},"labels":[],"label_agreement":null},{"id":"W4315631618","doi":"10.1016/j.jclepro.2023.135986","title":"An input-output-based Bayesian neural network method for analyzing carbon reduction potential: A case study of Guangdong province","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Natural Science Foundation of China; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Per capita; Industrialisation; Energy consumption; Environmental science; Carbon fibers; Secondary sector of the economy; Urbanization; Greenhouse gas; Natural resource economics; Environmental engineering; Reduction (mathematics); Tertiary sector of the economy; Environmental economics; Population; Engineering; Economics; Computer science; Economy; Mathematics; Economic growth","score_opus":0.01731981574759738,"score_gpt":0.3053418648950366,"score_spread":0.28802204914743923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4315631618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9927545,0.000012235833,0.0054474175,0.00041748912,0.0005729951,0.00075336173,0.0000010268031,0.000029896508,0.000011053896],"genre_scores_gemma":[0.99441576,0.0000029814357,0.0048207557,0.000012019291,0.000590704,0.000010350084,0.0000031311877,0.000026242553,0.000118032556],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.997931,0.0004149807,0.00062117906,0.0003284871,0.00040835768,0.00029598267],"domain_scores_gemma":[0.9988667,0.000030318957,0.0005942722,0.00033548163,0.00004829173,0.00012498784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0023953344,0.00015918039,0.0002828869,0.00014366892,0.00019129479,0.000030639167,0.00014906515,0.00006345396,0.00001640575],"category_scores_gemma":[0.00011518134,0.00012695702,0.00012467193,0.00048654585,0.00009351088,0.0005717655,0.00004717997,0.00021470597,5.6913393e-7],"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":[0.00035855442,0.00058366585,0.050620392,0.000038908474,0.000032500946,0.00018635111,0.0013596778,0.87846273,0.0148246465,3.7358603e-7,0.00021617074,0.053316046],"study_design_scores_gemma":[0.0043295827,0.012604917,0.25927863,0.00008338151,0.0010473896,0.006299603,0.06278084,0.6234417,0.027481306,0.0012087187,0.0004605335,0.0009834343],"about_ca_topic_score_codex":0.00078113563,"about_ca_topic_score_gemma":0.00019011517,"teacher_disagreement_score":0.25502104,"about_ca_system_score_codex":0.00032362284,"about_ca_system_score_gemma":0.000030475037,"threshold_uncertainty_score":0.5177157},"labels":[],"label_agreement":null},{"id":"W4316037062","doi":"10.1016/j.jclepro.2023.136039","title":"Environmentally-extended input-output analyses efficiently sketch large-scale environmental transition plans: Illustration by Canada's road industry","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Sketch; Environmentally friendly; Scale (ratio); Transition (genetics); Environmental economics; Engineering; Business; Transport engineering; Computer science; Economics; Geography; Chemistry; Cartography; Ecology; Algorithm","score_opus":0.0132818430153547,"score_gpt":0.25169462437146467,"score_spread":0.23841278135610997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316037062","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99671704,0.000057358917,0.00023966935,0.0018295294,0.00044565927,0.00031947522,0.00008828617,0.000030861866,0.00027214424],"genre_scores_gemma":[0.99676913,0.00012249214,0.0000948453,0.00023415695,0.00028487347,0.000007455837,0.00015791607,0.00003259676,0.0022965327],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99680555,0.0002230329,0.0007494608,0.00046109105,0.0012318533,0.00052901194],"domain_scores_gemma":[0.998924,0.000023097824,0.00044544734,0.00032658048,0.000008764066,0.00027211002],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0009560329,0.00029810073,0.000318481,0.00011552001,0.0003125684,0.00004525935,0.0002515043,0.00024134906,0.0010673569],"category_scores_gemma":[0.000057272646,0.00027246968,0.00015133123,0.0003300184,0.0002518695,0.00080361904,0.00009020327,0.0006974255,0.000072458264],"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":[0.000662816,0.002547908,0.112953216,0.000067840796,0.00022090646,0.00017005006,0.0068701454,0.28160948,0.4410737,0.000001296196,0.10540317,0.048419457],"study_design_scores_gemma":[0.0014641591,0.000596623,0.8420049,0.00003433095,0.00019789471,0.00028721837,0.022404581,0.0028169567,0.09380234,0.000093399365,0.035623897,0.0006737011],"about_ca_topic_score_codex":0.0046932152,"about_ca_topic_score_gemma":0.0077412357,"teacher_disagreement_score":0.7290517,"about_ca_system_score_codex":0.0017319949,"about_ca_system_score_gemma":0.00005811039,"threshold_uncertainty_score":0.99997276},"labels":[],"label_agreement":null},{"id":"W4316496270","doi":"10.1016/j.chieco.2023.101928","title":"The Belt, the Road, and the carbon emissions in China","year":2023,"lang":"en","type":"article","venue":"China Economic Review","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"China; Econometric analysis; Destinations; Greenhouse gas; International economics; Quarter (Canadian coin); Business; International trade; Economics; Scale (ratio); Geography; Macroeconomics; Tourism","score_opus":0.007147018511712037,"score_gpt":0.24533516770294125,"score_spread":0.23818814919122921,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4316496270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93180925,0.020750163,2.1175393e-7,0.025272772,0.000085832646,0.00086638384,0.0000022398065,0.000016103413,0.021197038],"genre_scores_gemma":[0.86175865,0.13554677,0.0000019296401,0.0005306169,0.000023980236,0.000099608296,0.0000025929342,0.00000970654,0.0020261651],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9989235,0.00025191563,0.0002833813,0.00020990254,0.00007091297,0.00026039052],"domain_scores_gemma":[0.9991767,0.00015308513,0.000080566504,0.0005285774,3.6016831e-7,0.000060736016],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002153511,0.00012624696,0.00020379284,0.000006969565,0.00037011376,0.00004020731,0.0003984594,0.000025608842,0.00029430323],"category_scores_gemma":[0.00012805863,0.000051990508,0.000082521474,0.000119185395,0.00063060434,0.000083355,0.00040666325,0.00019205651,0.00018423327],"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":[0.00006890967,0.00008006498,0.33471498,0.00048846495,0.000054943062,0.000013257749,0.0060278373,0.0012827379,0.0000497926,0.0027829357,0.028012674,0.6264234],"study_design_scores_gemma":[0.0002675171,0.000010745195,0.9253037,0.000083642524,0.000017215405,0.000008217431,0.00018270567,0.0023938422,0.0000044872572,0.0045007723,0.06712403,0.00010309466],"about_ca_topic_score_codex":0.0015195231,"about_ca_topic_score_gemma":0.00035067546,"teacher_disagreement_score":0.6263203,"about_ca_system_score_codex":0.00022403197,"about_ca_system_score_gemma":0.000010407965,"threshold_uncertainty_score":0.3222414},"labels":[],"label_agreement":null},{"id":"W4317721535","doi":"10.3389/frsus.2023.1125016","title":"Editorial: Early-stage quantitative sustainability assessment: Approaches for policy, processes and materials","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Stage (stratigraphy); Sustainability; Environmental planning; Environmental resource management; Management science; Process management; Business; Environmental science; Engineering; Geology; Ecology","score_opus":0.01454765717118784,"score_gpt":0.3108315245271157,"score_spread":0.2962838673559279,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4317721535","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.046214595,0.00013834467,0.0033354536,0.00092385436,0.9385985,0.008286389,0.0019599989,0.00029509803,0.00024772852],"genre_scores_gemma":[0.07943493,0.00037047084,0.00725324,0.00003207751,0.8958532,0.005727694,0.001538951,0.0005176149,0.009271814],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9911335,0.0009950587,0.0014493394,0.0026244307,0.0016617381,0.0021359453],"domain_scores_gemma":[0.9940945,0.002735003,0.0006953243,0.0014853638,0.00049790955,0.00049191894],"candidate_categories":["metaresearch","metaepi_narrow","sts","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.006205579,0.0012111764,0.001820871,0.0004143441,0.00053359737,0.000418681,0.0010695076,0.0019321251,0.00004906719],"category_scores_gemma":[0.043050442,0.0012079264,0.00026111703,0.0014479107,0.0031237525,0.0011782559,0.0015595312,0.0013231733,0.0000054604875],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00090178964,0.0005813989,0.06637753,0.0077094347,0.00007795448,0.000015201479,0.003466225,0.00026793597,0.0000020777466,0.00037886872,0.9190717,0.0011498958],"study_design_scores_gemma":[0.00214224,0.00092397607,0.03274484,0.00006544358,0.00013001876,3.379115e-7,0.021907287,0.00025511626,0.00004178528,0.16183247,0.7782384,0.0017180908],"about_ca_topic_score_codex":0.012154736,"about_ca_topic_score_gemma":0.0009719443,"teacher_disagreement_score":0.16145359,"about_ca_system_score_codex":0.019579206,"about_ca_system_score_gemma":0.0031193604,"threshold_uncertainty_score":0.99958915},"labels":[],"label_agreement":null},{"id":"W4318049483","doi":"10.3390/su15032218","title":"The Nexus between GHGs Emissions and Clean Growth: Empirical Evidence from Canadian Provinces","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Prince Edward Island; Dalhousie University","funders":"","keywords":"Greenhouse gas; Estimator; Energy intensity; Econometrics; Panel data; Nexus (standard); Emission intensity; Economics; Environmental science; Kuznets curve; Efficient energy use; Natural resource economics; Geography; Statistics; Energy (signal processing); Mathematics; Engineering; Ecology","score_opus":0.02763301132171678,"score_gpt":0.2994653465557933,"score_spread":0.2718323352340765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318049483","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98089325,0.000099077035,0.000014512004,0.017067583,0.000057179874,0.0007157104,0.00003085038,0.000098282384,0.0010235494],"genre_scores_gemma":[0.99866855,0.00005151518,0.000036729452,0.0001326283,0.000057703775,0.000050217637,0.000010915912,0.000016630936,0.0009751315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9973596,0.00034275049,0.00031603902,0.0006598298,0.00042078257,0.0009010098],"domain_scores_gemma":[0.9972968,0.0011461638,0.00006011766,0.0006862419,0.000037878584,0.0007727692],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015086894,0.00022786391,0.00020568543,0.000040811457,0.0012517337,0.00016914819,0.00050213264,0.00013679116,0.00035462264],"category_scores_gemma":[0.0046221516,0.00015974832,0.000081039885,0.0005716785,0.0014207906,0.0004682155,0.00066791003,0.00031929984,0.000117751566],"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":[0.000015806108,0.00001641738,0.97420895,0.000016961385,0.0000066649563,0.000017598517,0.0021294907,0.000022497654,0.000010633789,0.000039615996,0.0025753337,0.020940023],"study_design_scores_gemma":[0.000087761575,0.00006735941,0.92924774,0.000007192987,0.000015891905,8.4129596e-7,0.007818114,0.0001607566,0.00006613244,0.05634486,0.0059937304,0.00018960123],"about_ca_topic_score_codex":0.2555073,"about_ca_topic_score_gemma":0.08618132,"teacher_disagreement_score":0.16932598,"about_ca_system_score_codex":0.003410663,"about_ca_system_score_gemma":0.0003591307,"threshold_uncertainty_score":0.962745},"labels":[],"label_agreement":null},{"id":"W4318586466","doi":"10.32920/21977393","title":"Fate-directed risk assessment of chemical mixtures: a case study for cedarwood essential oil","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"European Chemical Industry Council","keywords":"Environmental risk assessment; Risk assessment; Risk analysis (engineering); Computer science; Product (mathematics); Chemical space; Biochemical engineering; Mathematics; Business; Biology; Engineering; Bioinformatics","score_opus":0.019108600926769526,"score_gpt":0.32700280981686175,"score_spread":0.3078942088900922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318586466","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949428,0.000009269989,0.0009653818,0.00007270123,0.00029325925,0.0015220416,0.00028777804,0.00023736591,0.0016694157],"genre_scores_gemma":[0.992152,0.000018128365,0.00580845,0.000019402629,0.000063394975,0.00048493256,0.00009178028,0.00006128978,0.0013006192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996857,0.00024436976,0.0007118424,0.0010324979,0.0006338438,0.00052044255],"domain_scores_gemma":[0.9981591,0.00025389282,0.00036377544,0.0009762884,0.000021771251,0.0002251447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008928057,0.00046335525,0.00064308045,0.00006358256,0.00013236044,0.000059892824,0.00047574518,0.00033859257,0.0012078217],"category_scores_gemma":[0.0002371716,0.00040252594,0.00036585555,0.00018726468,0.00033439582,0.00009882365,0.0024497383,0.0006136392,0.000024039819],"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":[0.00029872355,0.010971004,0.92754,0.0011288854,0.00097019045,0.001590459,0.006484778,0.008199332,0.024625907,0.000019239773,0.0049143443,0.013257106],"study_design_scores_gemma":[0.019835187,0.0046424046,0.6166977,0.00030487857,0.005343783,0.0006384965,0.07851449,0.12806909,0.122835055,0.013803189,0.0009733953,0.008342309],"about_ca_topic_score_codex":0.014687127,"about_ca_topic_score_gemma":0.0010026867,"teacher_disagreement_score":0.3108423,"about_ca_system_score_codex":0.00079181965,"about_ca_system_score_gemma":0.00006777317,"threshold_uncertainty_score":0.99984264},"labels":[],"label_agreement":null},{"id":"W4318586481","doi":"10.32920/21977393.v1","title":"Fate-directed risk assessment of chemical mixtures: a case study for cedarwood essential oil","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University","funders":"European Chemical Industry Council","keywords":"Environmental risk assessment; Risk assessment; Computer science; Risk analysis (engineering); Product (mathematics); Chemical space; Biochemical engineering; Mathematics; Business; Engineering; Biology; Bioinformatics","score_opus":0.019108600926769526,"score_gpt":0.32700280981686175,"score_spread":0.3078942088900922,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4318586481","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949428,0.000009269989,0.0009653818,0.00007270123,0.00029325925,0.0015220416,0.00028777804,0.00023736591,0.0016694157],"genre_scores_gemma":[0.992152,0.000018128365,0.00580845,0.000019402629,0.000063394975,0.00048493256,0.00009178028,0.00006128978,0.0013006192],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996857,0.00024436976,0.0007118424,0.0010324979,0.0006338438,0.00052044255],"domain_scores_gemma":[0.9981591,0.00025389282,0.00036377544,0.0009762884,0.000021771251,0.0002251447],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008928057,0.00046335525,0.00064308045,0.00006358256,0.00013236044,0.000059892824,0.00047574518,0.00033859257,0.0012078217],"category_scores_gemma":[0.0002371716,0.00040252594,0.00036585555,0.00018726468,0.00033439582,0.00009882365,0.0024497383,0.0006136392,0.000024039819],"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":[0.00029872355,0.010971004,0.92754,0.0011288854,0.00097019045,0.001590459,0.006484778,0.008199332,0.024625907,0.000019239773,0.0049143443,0.013257106],"study_design_scores_gemma":[0.019835187,0.0046424046,0.6166977,0.00030487857,0.005343783,0.0006384965,0.07851449,0.12806909,0.122835055,0.013803189,0.0009733953,0.008342309],"about_ca_topic_score_codex":0.014687127,"about_ca_topic_score_gemma":0.0010026867,"teacher_disagreement_score":0.3108423,"about_ca_system_score_codex":0.00079181965,"about_ca_system_score_gemma":0.00006777317,"threshold_uncertainty_score":0.99984264},"labels":[],"label_agreement":null},{"id":"W4319597777","doi":"10.18174/583283","title":"Effecten aanpassing energieheffingen glastuinbouw 2025-2030","year":2022,"lang":"nl","type":"report","venue":"","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Theology; Art; Humanities; Political science; Philosophy","score_opus":0.0199176666846216,"score_gpt":0.2733372276108145,"score_spread":0.25341956092619294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4319597777","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.38456795,0.0020281887,0.00018672533,0.00045979404,0.0027648218,0.0018930809,0.00016126121,0.00025226714,0.6076859],"genre_scores_gemma":[0.49598885,0.0026192858,0.0007882117,0.0006043026,0.00063892757,0.00031009354,0.00047547463,0.0002691938,0.49830565],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9898589,0.0008803354,0.0014294893,0.0023184374,0.003414751,0.0020980437],"domain_scores_gemma":[0.9958806,0.000419387,0.0007621231,0.0020330956,0.00002371373,0.0008810719],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["metaepi_narrow","insufficient_payload"],"category_scores_codex":[0.0028454112,0.0014403126,0.0014410061,0.00022004107,0.001620636,0.00034610013,0.0015581242,0.0007509878,0.40258953],"category_scores_gemma":[0.00046442432,0.0013763487,0.00096714887,0.0008477372,0.0010894979,0.0006513183,0.004903593,0.0019248336,0.0051544737],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002756996,0.0029531107,0.51849777,0.0011887942,0.0008465815,0.0017244788,0.0016398893,0.015889624,0.0070994706,0.0000777741,0.17006901,0.2797378],"study_design_scores_gemma":[0.0007049829,0.0006463926,0.27075338,0.0000693627,0.0003972894,0.00015481815,0.001570353,0.0005922187,0.00096790044,0.00017269258,0.722164,0.0018066494],"about_ca_topic_score_codex":0.009634595,"about_ca_topic_score_gemma":0.00032830244,"teacher_disagreement_score":0.55209494,"about_ca_system_score_codex":0.012513134,"about_ca_system_score_gemma":0.0005018449,"threshold_uncertainty_score":0.99983466},"labels":[],"label_agreement":null},{"id":"W4321481921","doi":"10.1021/acs.est.3c01070","title":"Environmental Research Addressing Sustainable Development Goals","year":2023,"lang":"en","type":"editorial","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"Library science; Latin Americans; Management; Political science; Archaeology; Geography; Law","score_opus":0.019780375686007875,"score_gpt":0.31763542861441724,"score_spread":0.29785505292840936,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321481921","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6751303,0.0007912869,0.000055016324,0.0005424361,0.30657083,0.0033974883,0.00025449268,0.0012638997,0.011994272],"genre_scores_gemma":[0.8716021,0.0008891715,0.0016307676,0.00008099195,0.06186376,0.0011610716,0.00054014183,0.0005464414,0.061685547],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.98277014,0.000326198,0.0012468622,0.0035588497,0.00692173,0.005176209],"domain_scores_gemma":[0.9954872,0.00065463944,0.0004846488,0.0024551614,0.000018167691,0.00090016314],"candidate_categories":["metaepi_narrow","sts","open_science","research_integrity","insufficient_payload"],"consensus_categories":["sts","research_integrity","insufficient_payload"],"category_scores_codex":[0.006919001,0.0012246631,0.0010005899,0.0021028763,0.004316276,0.00041105677,0.0048010186,0.0021739816,0.005618264],"category_scores_gemma":[0.0017821634,0.0012365135,0.00022978369,0.004273081,0.02045252,0.0014526318,0.01285283,0.003967339,0.015112827],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096679454,0.0016573345,0.02387076,0.00012977212,0.000076084834,0.0010548583,0.0021041373,0.00029530365,0.03605048,0.00007614942,0.89268893,0.041899506],"study_design_scores_gemma":[0.0005790201,0.0003612269,0.012853243,0.0000672919,0.00003500042,0.000013710883,0.008626623,0.00004275288,0.013165716,0.0016613352,0.9611958,0.0013982697],"about_ca_topic_score_codex":0.00022710364,"about_ca_topic_score_gemma":0.000054139502,"teacher_disagreement_score":0.24470706,"about_ca_system_score_codex":0.021282999,"about_ca_system_score_gemma":0.00054016855,"threshold_uncertainty_score":0.9991214},"labels":[],"label_agreement":null},{"id":"W4321482296","doi":"10.1021/acs.estlett.3c00093","title":"Environmental Research Addressing Sustainable Development Goals","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Environmental Impact and Sustainability","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":"Library science; Latin Americans; Management; Political science; Archaeology; Geography; Law","score_opus":0.022969583932516174,"score_gpt":0.2958148341686308,"score_spread":0.2728452502361146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321482296","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99227726,0.00006620469,0.000066189554,0.0027743757,0.00012589154,0.00089641294,0.000007962513,0.00047839253,0.0033072785],"genre_scores_gemma":[0.99425536,0.00005028381,0.0011828814,0.00054705475,0.000038088678,0.00022473169,0.000022697372,0.00006131106,0.0036175791],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99205345,0.00016477371,0.00057806866,0.0016420366,0.0023595104,0.003202152],"domain_scores_gemma":[0.9980953,0.00009165667,0.00014356336,0.0011733857,0.0000034759641,0.0004926542],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["sts","insufficient_payload"],"category_scores_codex":[0.0036741497,0.0004903793,0.00034662156,0.001420303,0.003318743,0.0001742995,0.0019997845,0.00026414418,0.0034787748],"category_scores_gemma":[0.00014537407,0.00048600216,0.000102956496,0.004481905,0.013532816,0.0014102838,0.004669305,0.0009098066,0.009679074],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001889286,0.00029642505,0.37137517,0.000010321431,0.000011690199,0.00032827977,0.0013488098,0.0005254117,0.60274017,0.00011754659,0.0020483197,0.021178978],"study_design_scores_gemma":[0.00061223167,0.00015863452,0.76086897,0.000018317942,0.000011923137,0.000060195067,0.016782228,0.00023651926,0.15017882,0.0013722841,0.068822265,0.0008776102],"about_ca_topic_score_codex":0.00005652216,"about_ca_topic_score_gemma":0.0000070484916,"teacher_disagreement_score":0.45256132,"about_ca_system_score_codex":0.005815938,"about_ca_system_score_gemma":0.00006306679,"threshold_uncertainty_score":0.99975914},"labels":[],"label_agreement":null},{"id":"W4321787396","doi":"10.1080/09535314.2023.2174002","title":"Who will dominate the global fossil fuel trade?","year":2023,"lang":"en","type":"article","venue":"Economic Systems Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Global Institute for Water Security; University of Saskatchewan","funders":"European Research Council; Natural Sciences and Engineering Research Council of Canada","keywords":"Fossil fuel; International trade; Energy security; Economics; Energy supply; Natural resource economics; China; Business; Environmental science; International economics; Energy (signal processing); Geography; Renewable energy; Ecology; Biology","score_opus":0.04135052767213346,"score_gpt":0.3452735565978839,"score_spread":0.3039230289257504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4321787396","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89656955,0.00020494076,0.0000037855716,0.0023471308,0.00029804066,0.00072296633,0.000036642174,0.000058439506,0.09975853],"genre_scores_gemma":[0.98367774,0.000087846776,0.0000030781434,0.000026451022,0.00013942302,0.00012045905,0.000003553314,0.000015549593,0.015925884],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975321,0.00048433515,0.00029490597,0.00043822042,0.00041720973,0.0008331827],"domain_scores_gemma":[0.9988558,0.00022945533,0.000046105022,0.00065514114,0.0000029105358,0.00021057368],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0035122186,0.00014326508,0.00019477279,0.000038775765,0.00041277873,0.00018959888,0.0007000311,0.00009184011,0.0014070726],"category_scores_gemma":[0.00008398848,0.000103231236,0.00008739587,0.0003296156,0.0007743027,0.00027748276,0.00059435144,0.00025283085,0.00935501],"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":[0.00009975745,0.00010831198,0.7317438,0.00014556274,0.000068777954,0.00007915474,0.0034295686,0.009684159,0.00030473992,0.0045435494,0.23634133,0.013451249],"study_design_scores_gemma":[0.0004181679,0.00008797607,0.7098418,0.000013116897,0.0000037059503,0.000024465658,0.005249753,0.010298428,0.000050175557,0.0035163963,0.27028888,0.00020712758],"about_ca_topic_score_codex":0.0038858848,"about_ca_topic_score_gemma":0.00030624605,"teacher_disagreement_score":0.08710823,"about_ca_system_score_codex":0.0028292201,"about_ca_system_score_gemma":0.000037174537,"threshold_uncertainty_score":0.99950576},"labels":[],"label_agreement":null},{"id":"W4322726981","doi":"10.1021/acs.est.3c00757","title":"Telecoupling China’s City-Level Water Withdrawal with Distant Consumption","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"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":"Natural Science Foundation of Beijing Municipality; National Natural Science Foundation of China","keywords":"China; Consumption (sociology); Virtual water; Resource (disambiguation); Geography; Sustainability; Water consumption; Geospatial analysis; Quarter (Canadian coin); Environmental protection; Water resource management; Environmental science; Water scarcity; Agriculture; Ecology; Cartography","score_opus":0.009204826941945058,"score_gpt":0.22901009356289537,"score_spread":0.21980526662095032,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322726981","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99644864,0.000015345746,0.00052254694,0.00095872674,0.00009965742,0.00048225615,0.000015599071,0.0003826095,0.0010746417],"genre_scores_gemma":[0.99761176,0.000046866677,0.000762098,0.00009640615,0.000015626987,0.00007264012,0.000027479036,0.000031526986,0.0013355995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99641174,0.000024996627,0.00030454365,0.0010192795,0.0009023028,0.0013371465],"domain_scores_gemma":[0.9989166,0.000014726194,0.00008264636,0.00072465447,0.000001943929,0.0002593915],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007441778,0.00034463304,0.00024890227,0.00035391454,0.0012278835,0.00009121743,0.0008313537,0.00016412983,0.0035647743],"category_scores_gemma":[0.000026373447,0.0002415307,0.000055163833,0.001210943,0.008899098,0.00075595744,0.0012714543,0.00037549008,0.0031280657],"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":[0.0000357206,0.00016239405,0.6978782,0.0000050027975,0.0000069813605,0.00006188015,0.0006146462,0.0018770526,0.29311502,0.00007129675,0.00005931742,0.0061124926],"study_design_scores_gemma":[0.0005612241,0.0003836839,0.83959126,0.000009742388,0.000017322627,0.000102460566,0.0010499366,0.0013243669,0.15006247,0.0014667638,0.0048885797,0.00054218527],"about_ca_topic_score_codex":0.00011654323,"about_ca_topic_score_gemma":0.000069028305,"teacher_disagreement_score":0.14305255,"about_ca_system_score_codex":0.0014896733,"about_ca_system_score_gemma":0.000021850778,"threshold_uncertainty_score":0.9976481},"labels":[],"label_agreement":null},{"id":"W4322748115","doi":"10.1007/978-981-19-9634-4_2","title":"LCA Studies on Regenerative Agriculture and Regenerative Textiles: Two Routes of Regenerative Cotton","year":2023,"lang":"en","type":"book-chapter","venue":"Textile science and clothing technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Greenfield Research (Canada)","funders":"","keywords":"Textile; Textile industry; Clothing; Greenhouse; Waste management; Greenhouse gas; Agriculture; Environmental science; Reuse; Pulp and paper industry; Engineering; Materials science; Horticulture; Ecology","score_opus":0.022147195905167248,"score_gpt":0.2854968434930579,"score_spread":0.26334964758789065,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322748115","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87173426,0.0028450978,0.00002747212,0.0032826723,0.0004937488,0.0018157372,0.000164045,0.000480874,0.11915609],"genre_scores_gemma":[0.82707,0.0020215868,0.001098665,0.00042569955,0.000098363795,0.000088869325,0.000017243778,0.00007265016,0.16910695],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9968063,0.000049741982,0.0005193014,0.0013078856,0.00078283413,0.00053394167],"domain_scores_gemma":[0.9984851,0.00016036068,0.00045837427,0.00061870716,0.000122027515,0.0001554525],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0009380647,0.00057736464,0.0007554677,0.0003424848,0.00079934625,0.00006456212,0.0005613652,0.00043974008,0.000101310354],"category_scores_gemma":[0.0005897192,0.0004297475,0.000073409035,0.00050507224,0.010232059,0.0003798616,0.0012867621,0.0006811749,0.000060055016],"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":[0.00009810658,0.00019062585,0.001550552,0.00017397688,0.0002804784,0.00011940371,0.028905557,0.001067924,0.13651296,0.7818297,0.009099867,0.040170804],"study_design_scores_gemma":[0.0021200737,0.0054355743,0.0031547733,0.0014111175,0.00040857523,0.00019335999,0.052930832,0.0014261552,0.5054783,0.40714836,0.016524553,0.0037682652],"about_ca_topic_score_codex":0.000075488875,"about_ca_topic_score_gemma":0.00029387718,"teacher_disagreement_score":0.37468135,"about_ca_system_score_codex":0.00065101153,"about_ca_system_score_gemma":0.00007891254,"threshold_uncertainty_score":0.9998154},"labels":[],"label_agreement":null},{"id":"W4322806592","doi":"10.1061/joeedu.eeeng-7216","title":"Development of a Factorial Hypothetical Extraction Model for Analyzing Socioeconomic Environmental Effects of Carbon Emission Intensity Reduction","year":2023,"lang":"en","type":"article","venue":"Journal of Environmental Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Environmental economics; Robustness (evolution); Emission intensity; Environmental science; Factorial experiment; Electricity; Electricity generation; Intensity (physics); Greenhouse gas; Multi stage; Production (economics); Natural resource economics; Environmental engineering; Econometrics; Engineering; Process engineering; Mathematics; Statistics; Economics; Power (physics)","score_opus":0.007892685968120415,"score_gpt":0.22017210566939874,"score_spread":0.2122794197012783,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4322806592","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924831,0.000040781568,0.006785963,0.000012098214,0.0003597398,0.00028152566,0.000009630304,0.000013013606,0.000014182873],"genre_scores_gemma":[0.9932085,0.000059784805,0.006554158,0.0000024087358,0.00007481183,0.000008140022,0.000008258076,0.00003190133,0.000051989256],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9983287,0.000021908976,0.00077839836,0.00021729352,0.0003587272,0.00029497163],"domain_scores_gemma":[0.999161,0.00008264321,0.0004398871,0.00015963697,0.0000023975845,0.00015444226],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046743487,0.00022025841,0.00040239084,0.00013059124,0.00006615165,0.0000064203105,0.0001571937,0.00013013382,0.00006410515],"category_scores_gemma":[0.000048887916,0.00021612718,0.00023099958,0.00006625846,0.00014397278,0.00027910864,0.00014515269,0.00021050421,0.0000049867976],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012426874,0.0002236158,0.012152603,0.00007754338,0.00005513351,0.0000029832493,0.0013913919,0.061633646,0.9209876,0.0000013908341,0.000014808752,0.0033349928],"study_design_scores_gemma":[0.0014168414,0.00033456375,0.17909172,0.00007123782,0.00012407517,0.00004162258,0.0008234799,0.15360929,0.6638435,0.00013036285,0.00015653025,0.00035676273],"about_ca_topic_score_codex":0.00000381554,"about_ca_topic_score_gemma":2.6827144e-7,"teacher_disagreement_score":0.25714412,"about_ca_system_score_codex":0.0012286291,"about_ca_system_score_gemma":0.00001678134,"threshold_uncertainty_score":0.8813411},"labels":[],"label_agreement":null},{"id":"W4324141117","doi":"10.1111/gcbb.13048","title":"Diverting residual biomass to energy use: Quantifying the global warming potential of biogenic <scp>CO<sub>2</sub></scp> (<scp>GWP<sub>bCO2</sub></scp>)","year":2023,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Canadian Bio-Systems (Canada); Canadian Energy Research Institute; University of Calgary; Natural Resources Canada","funders":"Edmonton Community Foundation","keywords":"Bioenergy; Biomass (ecology); Environmental science; Greenhouse gas; Biofuel; Fossil fuel; Global warming; Lignocellulosic biomass; Global-warming potential; Carbon dioxide; Raw material; Carbon footprint; Pulp and paper industry; Environmental engineering; Waste management; Agronomy; Climate change; Chemistry; Ecology; Engineering","score_opus":0.020932395380441404,"score_gpt":0.2536938634335919,"score_spread":0.2327614680531505,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324141117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965513,0.00022222959,0.00064387074,0.00032611543,0.0005296236,0.00036693137,0.00020422858,0.00027811996,0.00087757804],"genre_scores_gemma":[0.9982069,0.00034365198,0.00017221806,0.00046880438,0.00023564229,0.000062551706,0.00013607672,0.0000921705,0.00028194755],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99384063,0.00048690807,0.0010228977,0.0012892836,0.00142687,0.0019333963],"domain_scores_gemma":[0.99714655,0.0006025831,0.0004456631,0.0011417485,0.000038345075,0.0006251008],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0011410994,0.00072596344,0.0006100499,0.0002367773,0.0009351828,0.00024830297,0.0011776836,0.0003865988,0.0000351336],"category_scores_gemma":[0.0010692526,0.0006242127,0.0004692264,0.002258366,0.0009282788,0.00085746404,0.0020968243,0.00028529397,0.00039907402],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000020668997,0.00018116897,0.09503778,0.000034930294,0.000112834176,0.00010859163,0.00067819917,0.0052854163,0.8838899,0.00025396643,0.005789068,0.008607474],"study_design_scores_gemma":[0.00047616643,0.000217548,0.19356766,0.000034093206,0.00008574518,0.000035302794,0.0024787958,0.00081560685,0.79349726,0.0004329877,0.0081452625,0.0002135539],"about_ca_topic_score_codex":0.0036101686,"about_ca_topic_score_gemma":0.0011413323,"teacher_disagreement_score":0.098529875,"about_ca_system_score_codex":0.00094631955,"about_ca_system_score_gemma":0.000075636315,"threshold_uncertainty_score":0.9996209},"labels":[],"label_agreement":null},{"id":"W4324365152","doi":"10.1002/bbb.2488","title":"Multicriteria assessment of technology pathways to produce renewable and sustainable biofuels: case study in eastern Canada","year":2023,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Polytechnique Montréal; Natural Resources Canada","funders":"Canadian Forest Service; Office of Energy Research and Development; Natural Resources Canada; U.S. Forest Service","keywords":"Environmental economics; Biofuel; Renewable energy; Incentive; Greenhouse gas; Sustainability; Business; Economics; Engineering; Waste management","score_opus":0.019673797495711073,"score_gpt":0.2722836322081483,"score_spread":0.2526098347124372,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324365152","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797654,0.000104214814,0.000002370957,0.00079224387,0.00007984884,0.0008431417,0.000018241206,0.00004274799,0.00014065541],"genre_scores_gemma":[0.9982316,0.00002050217,0.001093967,0.000049888396,0.00001718711,0.000044999917,0.000004327156,0.000017794013,0.00051975943],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99789286,0.00006529746,0.00037299952,0.0007681317,0.00024082237,0.0006598696],"domain_scores_gemma":[0.9992793,0.000019696297,0.00008741169,0.0004298754,0.000019616786,0.00016408465],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009144295,0.00023329836,0.00030890765,0.00022230757,0.00019537314,0.00004415565,0.00014749718,0.00007802968,0.000029591474],"category_scores_gemma":[0.00015799409,0.00019857565,0.000014178546,0.0012336002,0.00023410161,0.00017643659,0.00094076997,0.00012013882,0.0000029016273],"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":[0.000016173104,0.00020263132,0.94104874,0.000108381304,0.0000073863607,0.0013188272,0.0016286629,0.000054279095,0.04291914,0.000015458334,0.000041058953,0.012639246],"study_design_scores_gemma":[0.0009553099,0.0009606367,0.87564045,0.00004282864,0.000023360113,0.00020181389,0.1048755,0.00044024238,0.01420364,0.00035884164,0.0017463303,0.0005510324],"about_ca_topic_score_codex":0.43176693,"about_ca_topic_score_gemma":0.1492831,"teacher_disagreement_score":0.28248385,"about_ca_system_score_codex":0.00030143326,"about_ca_system_score_gemma":0.00008690805,"threshold_uncertainty_score":0.86624026},"labels":[],"label_agreement":null},{"id":"W4327702798","doi":"10.1016/j.jclepro.2023.136834","title":"Carbon footprint assessment of a wood multi-residential building considering biogenic carbon","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Bundesamt für Energie; Natural Resources Canada; Projektträger Jülich; Agence de la transition écologique; Interreg; European Commission; Bundesministerium für Verkehr, Innovation und Technologie; Energistyrelsen; Österreichische Forschungsförderungsgesellschaft; Bundesministerium für Wirtschaft und Energie","keywords":"Greenhouse gas; Life-cycle assessment; Carbon footprint; Carbon sequestration; Environmental science; Carbon neutrality; Incineration; Carbon fibers; Environmental impact assessment; Landfill gas; Environmental engineering; Production (economics); Waste management; Engineering; Carbon dioxide; Ecology; Municipal solid waste; Computer science","score_opus":0.02043255638789742,"score_gpt":0.29936441487381515,"score_spread":0.2789318584859177,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327702798","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983962,0.000031756474,0.00008647259,0.00040386285,0.00056973385,0.00018920396,4.8937704e-7,0.000020234915,0.00030205637],"genre_scores_gemma":[0.99760604,0.00005274914,0.0019600173,0.000005947899,0.0001790155,0.000002706417,5.016343e-7,0.000016594333,0.00017644769],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99834603,0.00011579554,0.0005464258,0.00021816063,0.00052621023,0.00024736286],"domain_scores_gemma":[0.9991959,0.00002481351,0.00042896808,0.00023016495,0.000024207193,0.000095991825],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011652652,0.00012947922,0.00023657685,0.00014210344,0.00006124433,0.000017445505,0.0001430756,0.000058739894,0.00004417395],"category_scores_gemma":[0.00018957812,0.000115470575,0.00012630591,0.00028466526,0.00016772305,0.00013278055,0.0001704404,0.00023283226,0.0000018359872],"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":[0.00004503378,0.00016642154,0.29671717,0.00003930319,0.000044749144,0.000026147347,0.00052407524,0.044594537,0.6522316,0.0000044577355,0.000027787793,0.005578732],"study_design_scores_gemma":[0.0005527451,0.00024452579,0.7302082,0.000038775608,0.00006721886,0.000115810064,0.0012036319,0.0029511391,0.26386458,0.00031735213,0.00027289044,0.00016309546],"about_ca_topic_score_codex":0.00041380659,"about_ca_topic_score_gemma":0.00006421864,"teacher_disagreement_score":0.43349105,"about_ca_system_score_codex":0.0005218889,"about_ca_system_score_gemma":0.000032899974,"threshold_uncertainty_score":0.47087532},"labels":[],"label_agreement":null},{"id":"W4327730331","doi":"10.1007/s11367-023-02147-z","title":"Planning sustainable carbon neutrality pathways: accounting challenges experienced by organizations and solutions from industrial ecology","year":2023,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University; Polytechnique Montréal","funders":"","keywords":"Industrial ecology; Carbon neutrality; Carbon accounting; Sustainability; Environmental accounting; Life-cycle assessment; Scarcity; Neutrality; Environmental full-cost accounting; Environmental resource management; Accounting; Environmental economics; Business; Ecology; Greenhouse gas; Economics; Accounting information system; Accounting management; Political science; Throughput accounting","score_opus":0.03656246219672436,"score_gpt":0.2940350075591019,"score_spread":0.2574725453623775,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4327730331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9918383,0.000104935076,0.00007674146,0.006755138,0.00028921105,0.00012046496,0.000011363607,0.00001919882,0.0007846921],"genre_scores_gemma":[0.99929523,0.00015760478,0.00006460881,0.0002053974,0.00017948577,0.000008935185,0.000010832103,0.000009839383,0.000068081965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99858683,0.0001326122,0.00035946644,0.00015619,0.0004951498,0.00026977065],"domain_scores_gemma":[0.9992057,0.00024254802,0.00026703213,0.00012399547,0.000049748,0.00011097974],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008851303,0.00010719914,0.00014601098,0.000048460908,0.00023543576,0.000091995935,0.00043009545,0.00006422694,0.00020565609],"category_scores_gemma":[0.00031863948,0.00008267391,0.000037105125,0.00016364375,0.00018516967,0.00038865182,0.00050419086,0.00024318599,0.000004668051],"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":[0.00009767515,0.00033395353,0.94588435,0.0000061910027,0.00023772453,0.000105100175,0.013814442,0.02090851,0.010578406,0.0013716862,0.003140847,0.0035211116],"study_design_scores_gemma":[0.0008343665,0.000110689165,0.936768,0.000013590107,0.000027485872,0.000016060976,0.050736956,0.004792282,0.0003552417,0.0043481207,0.0018464279,0.00015079508],"about_ca_topic_score_codex":0.0006694507,"about_ca_topic_score_gemma":0.000029955901,"teacher_disagreement_score":0.036922514,"about_ca_system_score_codex":0.0005795374,"about_ca_system_score_gemma":0.00009630568,"threshold_uncertainty_score":0.33713442},"labels":[],"label_agreement":null},{"id":"W4328139969","doi":"","title":"Uncertainty assessment of the soil carbon balance in the context of the 4 per 1000 aspirational target: A case study for France","year":2023,"lang":"en","type":"preprint","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","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":"Agriculture and Agri-Food Canada","funders":"","keywords":"Context (archaeology); Balance (ability); Carbon fibers; Environmental science; Computer science; Environmental resource management; Psychology; History; Algorithm; Archaeology","score_opus":0.015512650394615538,"score_gpt":0.2641125785501848,"score_spread":0.24859992815556925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4328139969","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988032,0.00006569103,0.00074403855,0.0051170825,0.00013595997,0.0020807576,0.00010803962,0.000014239378,0.0037021798],"genre_scores_gemma":[0.9973358,0.000017388908,0.0006027265,0.00012452363,0.000007265105,0.00030802476,0.000023283665,0.000018495442,0.0015624756],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9939919,0.0040930104,0.00054344296,0.00046615044,0.0006611426,0.00024435687],"domain_scores_gemma":[0.99617183,0.0011477742,0.0005197761,0.001970862,0.00014803658,0.000041698942],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0060448083,0.00021915123,0.00028506352,0.000029135495,0.00029054662,0.000053939464,0.001298445,0.000116282965,0.00009228133],"category_scores_gemma":[0.00054701173,0.00013405399,0.0002242091,0.0003169127,0.0006759011,0.00006159421,0.0015156786,0.00047720838,0.0000014986892],"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":[0.000010346888,0.0013912241,0.95467764,0.000100543795,0.00003706539,0.0000052129676,0.028857658,0.011282072,0.00088398065,0.0011560344,0.00010579433,0.0014924305],"study_design_scores_gemma":[0.0007652322,0.0000032487137,0.9402359,0.00023153346,0.00004603437,0.000012074631,0.009733167,0.042850953,0.003115783,0.0018894118,0.00088031794,0.00023632639],"about_ca_topic_score_codex":0.018300617,"about_ca_topic_score_gemma":0.028628197,"teacher_disagreement_score":0.03156888,"about_ca_system_score_codex":0.00034561375,"about_ca_system_score_gemma":0.00015981856,"threshold_uncertainty_score":0.9890968},"labels":[],"label_agreement":null},{"id":"W4360620175","doi":"10.1007/s11027-023-10055-8","title":"Substitution benefits of British Columbia’s mitigation strategies in the bioeconomy","year":2023,"lang":"en","type":"article","venue":"Mitigation and Adaptation Strategies for Global Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Pacific Institute for Climate Solutions; Natural Resources Canada; University of British Columbia; Canadian Forest Service","funders":"Natural Resources Canada; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Biofuel; Substitution (logic); Baseline (sea); Environmental science; Climate change mitigation; Natural resource economics; Range (aeronautics); Climate change; Biomass (ecology); Agricultural economics; Economics; Ecology; Engineering; Computer science","score_opus":0.04058275341506423,"score_gpt":0.2669361814982243,"score_spread":0.22635342808316006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4360620175","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99598867,0.00007268112,0.0004926776,0.00026927586,0.000051840376,0.000708022,0.00018080807,0.000032317705,0.0022037304],"genre_scores_gemma":[0.99902374,0.00007718492,0.0002369909,0.00012762666,0.000027094005,0.00019293037,0.00024123437,0.0000043200785,0.000068876965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99912155,0.000051796284,0.00025769143,0.0002012993,0.00017753027,0.00019012738],"domain_scores_gemma":[0.99970835,0.000041045358,0.00010498172,0.00009195308,0.000015012343,0.000038654434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003485962,0.00007897656,0.000105593754,0.000018686074,0.000118946664,0.00022448806,0.00008799539,0.000065130225,0.0000596914],"category_scores_gemma":[0.000018237492,0.0000976691,0.000039227485,0.00034908066,0.00026652217,0.0010571111,0.000025271047,0.000040984793,0.000008226222],"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":[0.00007866752,0.00031969397,0.7127781,0.0004168801,0.000031456653,0.000009384289,0.016331015,0.012763148,0.0007436103,0.10053306,0.0030321034,0.15296291],"study_design_scores_gemma":[0.0003872074,0.00008863285,0.9157765,0.000019397357,0.0000084003195,0.000004415314,0.04682887,0.003944519,0.000011355574,0.03195856,0.0008630767,0.000109085],"about_ca_topic_score_codex":0.012776465,"about_ca_topic_score_gemma":0.0728484,"teacher_disagreement_score":0.2029984,"about_ca_system_score_codex":0.00011429271,"about_ca_system_score_gemma":0.000024061343,"threshold_uncertainty_score":0.99379754},"labels":[],"label_agreement":null},{"id":"W4361016211","doi":"10.1007/978-3-030-02006-4_323-3","title":"Life Cycle Assessment - Products and Services","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Life-cycle assessment; Business; Economics; Production (economics)","score_opus":0.010422883471006528,"score_gpt":0.23757319860755102,"score_spread":0.2271503151365445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361016211","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.019606242,0.000045923418,0.0000045512693,0.0011262854,0.00010041769,0.00046266848,0.000016280457,0.00012725386,0.9785104],"genre_scores_gemma":[0.050110903,0.00022647718,0.0004773233,0.0007885413,0.00006465292,0.000012087914,0.00003556003,0.000059669834,0.9482248],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99858534,0.000012356894,0.00021099893,0.00055080646,0.00038000473,0.00026046782],"domain_scores_gemma":[0.9991869,0.000025637439,0.00008113604,0.00041300908,0.0000032814603,0.00029007447],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021390588,0.00027797814,0.00023506407,0.000026734751,0.00011240073,0.000050301267,0.0001740578,0.00016532879,0.007734373],"category_scores_gemma":[0.000014121785,0.0002352134,0.000046611014,0.000027935217,0.00026760422,0.00018837003,0.0006989058,0.00021574218,0.0015134319],"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":[0.00022879831,0.0013302446,0.36033174,0.0064089904,0.0012040987,0.00079750194,0.006137207,0.0030826626,0.0029802986,0.25874677,0.14045405,0.21829762],"study_design_scores_gemma":[0.0005725315,0.0003287357,0.41777998,0.00009476406,0.00015228591,0.00001515295,0.0005927863,0.0010347565,0.00008098482,0.088688314,0.48897436,0.00168533],"about_ca_topic_score_codex":0.0002920344,"about_ca_topic_score_gemma":0.00014234793,"teacher_disagreement_score":0.3485203,"about_ca_system_score_codex":0.00025681712,"about_ca_system_score_gemma":0.000022099715,"threshold_uncertainty_score":0.999264},"labels":[],"label_agreement":null},{"id":"W4361275344","doi":"10.3390/su15075926","title":"Economic Analysis of Sustainable Transportation Transitions: Case Study of the University of Saskatchewan Ground Services Fleet","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Greenhouse gas; Sustainability; Environmental economics; Renewable energy; Business; Engineering; Economics","score_opus":0.004867046865750542,"score_gpt":0.2225976396460293,"score_spread":0.21773059278027876,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4361275344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986035,0.0000054185116,0.000039134167,0.00010863435,0.000015684454,0.0010389677,0.00008431745,0.000021706162,0.0000826176],"genre_scores_gemma":[0.9995502,0.0000022343868,0.000015633763,0.0000043435844,0.0000020877271,0.0000051814136,0.000020179179,0.0000072665844,0.00039284487],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983995,0.00028355804,0.0004262035,0.00034082963,0.00025855508,0.0002913492],"domain_scores_gemma":[0.99883497,0.00009100443,0.00024038854,0.00069421774,0.00006958954,0.00006982407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00085324346,0.00014344063,0.00038423817,0.00013148114,0.00022569083,0.000005611609,0.00031256504,0.00007137308,0.0005328743],"category_scores_gemma":[0.000025060379,0.00012940414,0.00027468146,0.0016444594,0.0006340194,0.00034056924,0.00010888325,0.00009220312,0.0000018007747],"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":[0.00007992284,0.0006402576,0.8341917,0.00031399075,0.00017624695,0.0000989884,0.08742617,0.07671682,0.000077900666,0.00006297928,0.000005670954,0.00020935088],"study_design_scores_gemma":[0.00025271802,0.00010437542,0.5396543,0.0000013421012,0.00037958933,0.0000010146371,0.4580017,0.0007399255,0.00008208599,0.0007069268,0.000015388585,0.000060576975],"about_ca_topic_score_codex":0.16192679,"about_ca_topic_score_gemma":0.09526868,"teacher_disagreement_score":0.37057555,"about_ca_system_score_codex":0.0011725291,"about_ca_system_score_gemma":0.000112213515,"threshold_uncertainty_score":0.9212403},"labels":[],"label_agreement":null},{"id":"W4362002256","doi":"10.1039/d3va00038a","title":"The life cycle land use of natural gas-fired electricity in the US Western interconnection","year":2023,"lang":"en","type":"article","venue":"Environmental Science Advances","topic":"Environmental Impact and Sustainability","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":"McGill University","funders":"Office of Science; Office of Fossil Energy; Alfred P. Sloan Foundation; Johns Hopkins University; U.S. Department of Energy","keywords":"Natural gas; Interconnection; Electricity; Environmental science; Life-cycle assessment; Natural (archaeology); Waste management; Natural resource economics; Engineering; Economics; Geography; Telecommunications; Production (economics); Electrical engineering; Archaeology","score_opus":0.007878272820175477,"score_gpt":0.24587020505861673,"score_spread":0.23799193223844126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4362002256","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850124,0.00018366912,0.000009232528,0.0004759781,0.0001551095,0.00037153097,0.0000058722817,0.000024686997,0.00027268223],"genre_scores_gemma":[0.9990519,0.00043996284,0.000037172813,0.00023790674,0.000018187871,0.000031081952,0.0000042195043,0.000008044629,0.00017148787],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977652,0.00014649166,0.0002963829,0.00040546648,0.0008028968,0.0005835789],"domain_scores_gemma":[0.999082,0.00029545056,0.00012417317,0.0004002993,0.0000014245685,0.000096618416],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011394504,0.00016670304,0.00013775016,0.000057041056,0.0005965878,0.00009553359,0.00073278724,0.000033866727,0.000098601726],"category_scores_gemma":[0.00022524156,0.000097931035,0.0000640325,0.00095988053,0.0022833636,0.0016543742,0.00038037813,0.00020998996,0.00013764207],"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":[0.000041961703,0.000101456,0.9572687,0.0000029739856,0.000002530986,0.000005743039,0.00084742706,0.0060805366,0.017737169,0.000007668184,0.000036756355,0.017867045],"study_design_scores_gemma":[0.00018859775,0.00010561186,0.98721707,0.000004514807,0.000004946038,0.000007627494,0.001308258,0.0027109827,0.0044836774,0.00044477763,0.0033870437,0.00013689997],"about_ca_topic_score_codex":0.00052126485,"about_ca_topic_score_gemma":0.00095478754,"teacher_disagreement_score":0.029948331,"about_ca_system_score_codex":0.0003943879,"about_ca_system_score_gemma":0.00001180527,"threshold_uncertainty_score":0.8413148},"labels":[],"label_agreement":null},{"id":"W4365795895","doi":"10.1615/1-56700-052-5","title":"Proceeding of Energy and Environment, 1995","year":2023,"lang":"en","type":"paratext","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Computer science; Energy (signal processing); Physics","score_opus":0.011601936258015356,"score_gpt":0.23529077958233574,"score_spread":0.22368884332432037,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4365795895","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04731003,0.00027849033,0.00030825502,0.00014174564,0.0003006789,0.00030841422,0.00007372532,0.00003464501,0.951244],"genre_scores_gemma":[0.18215837,0.0017652675,0.00024965045,0.00007455857,0.00006723386,0.000038806797,0.00009645252,0.00006126027,0.8154884],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9984431,0.000029152356,0.0003213759,0.00049708557,0.00035064068,0.00035862843],"domain_scores_gemma":[0.9993662,0.000044894216,0.00015640182,0.00027471056,0.0000014024191,0.00015636392],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00016782495,0.00029551517,0.00035189558,0.000054410222,0.00007647617,0.000018432816,0.00021524185,0.000205203,0.054336257],"category_scores_gemma":[0.000012287396,0.00026038804,0.000085683525,0.0001288476,0.0005523578,0.00014354523,0.00076143094,0.00013167808,0.004816919],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002702029,0.00021842295,0.026237788,0.00025511105,0.00008630287,0.000008452349,0.00038288825,0.00051284226,0.00460121,0.00020266025,0.95455235,0.012914964],"study_design_scores_gemma":[0.00061030895,0.00034087067,0.03466504,0.00007125508,0.00010428706,0.000014330927,0.0011414759,0.00036046695,0.009897978,0.003233478,0.9483005,0.0012599962],"about_ca_topic_score_codex":0.0009967411,"about_ca_topic_score_gemma":0.000019842766,"teacher_disagreement_score":0.13575561,"about_ca_system_score_codex":0.00024364448,"about_ca_system_score_gemma":0.000008879275,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W4366001203","doi":"10.1016/j.trd.2023.103720","title":"Environmental impacts of road pavement rehabilitation","year":2023,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Life-cycle assessment; Transport engineering; Asphalt; Supply chain; Environmental science; Production (economics); Environmental impact assessment; Asphalt pavement; Civil engineering; Engineering; Business; Environmental resource management; Economics; Geography","score_opus":0.024899574089202493,"score_gpt":0.3009908968956511,"score_spread":0.2760913228064486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366001203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976904,0.00007209351,0.000058364545,0.00055722747,0.000040788236,0.00088643795,0.00015038019,0.000060038863,0.00048427575],"genre_scores_gemma":[0.9971159,0.0014237222,0.00032422246,0.000030683103,0.000019974208,0.00015912474,0.00036306525,0.00003475365,0.0005285209],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647665,0.0001473673,0.00066698424,0.0006262515,0.0013448608,0.0007378715],"domain_scores_gemma":[0.99896747,0.00012467062,0.000101203455,0.00043302623,0.0000045637444,0.0003690575],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001566911,0.00026590758,0.00030098433,0.00016077548,0.000274413,0.000010959577,0.00019250267,0.0001284884,0.0046085548],"category_scores_gemma":[0.000012456645,0.0002558339,0.00013606895,0.00038604825,0.0012787203,0.00036211332,0.000035237303,0.0002689931,0.0004603018],"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":[0.000106730644,0.00041345038,0.9705085,0.00010103938,0.000030072913,0.000027346077,0.0038865209,0.0017897754,0.01425023,0.00010479132,0.0004650568,0.008316487],"study_design_scores_gemma":[0.0007065056,0.00048755002,0.97820973,0.00001976354,0.000027509099,6.339189e-7,0.002096302,0.0001425094,0.0021137004,0.00086130615,0.015094391,0.00024012313],"about_ca_topic_score_codex":0.0007999342,"about_ca_topic_score_gemma":0.00023416628,"teacher_disagreement_score":0.014629334,"about_ca_system_score_codex":0.00027517477,"about_ca_system_score_gemma":0.000012921277,"threshold_uncertainty_score":0.9999894},"labels":[],"label_agreement":null},{"id":"W4366150475","doi":"10.2139/ssrn.4420940","title":"Ecodynelec: Open Python Package to Create Historical Profiles of Environmental Impacts from Regional Electricity Mixes","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Python (programming language); Electricity; Open source; Computer science; R package; Environmental science; Engineering; Programming language; Electrical engineering; Software","score_opus":0.019652018116937817,"score_gpt":0.2638380307998881,"score_spread":0.2441860126829503,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366150475","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99393344,0.0008155332,0.00095058803,0.0017044167,0.0003355523,0.0013506085,0.00022852796,0.00006542944,0.00061590783],"genre_scores_gemma":[0.9883408,0.003954574,0.00080805214,0.0001752196,0.00021988689,0.0000767438,0.0001516904,0.0001411527,0.006131883],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9925307,0.0004754353,0.001087586,0.0011957192,0.0012270217,0.003483535],"domain_scores_gemma":[0.99738246,0.00016965273,0.0008060118,0.00097563956,0.000012657326,0.00065357337],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0025626873,0.0007501513,0.0010044472,0.00019675994,0.00036933657,0.00017393907,0.002322595,0.0005028294,0.0011905506],"category_scores_gemma":[0.00023015482,0.00069587247,0.0005003878,0.00033388988,0.0002609402,0.00046915913,0.003738883,0.004020089,0.00041124164],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002326043,0.0034190163,0.84678453,0.00011833684,0.0013919646,0.00013039321,0.0032811747,0.0019687214,0.096606314,0.0008144572,0.015889073,0.027269991],"study_design_scores_gemma":[0.0014364555,0.0018868851,0.73524326,0.00013355738,0.00028960686,0.00014244746,0.0017334615,0.0001457664,0.0063772723,0.24710926,0.003908177,0.0015938649],"about_ca_topic_score_codex":0.017436082,"about_ca_topic_score_gemma":0.005715182,"teacher_disagreement_score":0.24629481,"about_ca_system_score_codex":0.030299952,"about_ca_system_score_gemma":0.0009759743,"threshold_uncertainty_score":0.9997225},"labels":[],"label_agreement":null},{"id":"W4366726223","doi":"10.32388/6pk4f6","title":"Revisiting the challenges of ozone depletion from a prospective LCA perspective","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Environmental science; Ozone depletion; Ozone; Work (physics); Ozone layer; Meteorology; Engineering; Geography; Ecology","score_opus":0.02839540988521007,"score_gpt":0.27746403649366497,"score_spread":0.2490686266084549,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4366726223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94456035,0.0009032038,0.00046940005,0.005973277,0.0001606624,0.001321457,0.000068430076,0.00013755636,0.04640564],"genre_scores_gemma":[0.99784493,0.00056482444,0.00060134777,0.00004144401,0.00015605178,0.000094855684,0.000011056874,0.000030766623,0.00065472646],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980224,0.00018780756,0.00032494488,0.0007156493,0.0004730616,0.00027614817],"domain_scores_gemma":[0.9987394,0.0001949075,0.00024235118,0.00073889754,0.000017571956,0.0000668671],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00063619076,0.00026121046,0.00032338325,0.000025761126,0.00012460351,0.000030502379,0.00043464158,0.0001914084,0.0012905588],"category_scores_gemma":[0.0002792873,0.0001809333,0.00019017965,0.00010583604,0.00046525773,0.000100935424,0.0020446451,0.00051186065,0.00023200744],"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":[0.00008622359,0.00018735674,0.9595853,0.00012777552,0.00020027424,0.0000141528535,0.023380602,0.0020825767,0.000803443,0.008342432,0.00021971122,0.004970171],"study_design_scores_gemma":[0.000112705246,0.00003351345,0.88620496,0.00004732833,0.000035484238,6.6494096e-7,0.018405845,0.0003064406,0.00036376718,0.094260044,0.000040050876,0.00018917052],"about_ca_topic_score_codex":0.012076752,"about_ca_topic_score_gemma":0.0005649489,"teacher_disagreement_score":0.085917614,"about_ca_system_score_codex":0.0013332808,"about_ca_system_score_gemma":0.000017573286,"threshold_uncertainty_score":0.9996224},"labels":[],"label_agreement":null},{"id":"W4367054258","doi":"10.1002/bbb.2502","title":"A comparison of methods used to track the ‘green molecules’ and determine the carbon intensities of co‐processed fuels","year":2023,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Inro Consultants (Canada); University of British Columbia","funders":"Mitacs","keywords":"Carbon fibers; Refining (metallurgy); Oil refinery; Greenhouse gas; Renewable energy; Renewable fuels; Environmental science; Emission intensity; Process engineering; Waste management; Fossil fuel; Chemistry; Computer science; Engineering","score_opus":0.06359378246292414,"score_gpt":0.3617655377019421,"score_spread":0.29817175523901795,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367054258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99731225,0.00039065725,0.000016392692,0.001708415,0.000041553023,0.00027193467,0.000012541601,0.00002029509,0.00022593689],"genre_scores_gemma":[0.9984454,0.000039818227,0.001215655,0.00011001486,0.000019871395,0.000008751274,0.0000029498563,0.000010804029,0.00014671618],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99883264,0.000114017326,0.00030797507,0.00031180534,0.0001879379,0.00024563546],"domain_scores_gemma":[0.9993327,0.00013224472,0.00013447633,0.00031460315,0.000014636305,0.00007133501],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009861569,0.0001573313,0.00027971354,0.000044962133,0.00013026738,0.000027806156,0.00019150518,0.0000552724,0.000017311528],"category_scores_gemma":[0.00021229425,0.000084346495,0.00003400303,0.00043799484,0.0009074913,0.00007382256,0.00030206892,0.00009814326,0.0000023535647],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000048088677,0.000043376538,0.18082054,0.00009316233,0.000013916259,0.0000012218522,0.01005439,0.000014194977,0.74696773,0.000019936084,0.000033990676,0.06188947],"study_design_scores_gemma":[0.00016511032,0.00032223933,0.46754834,0.000028917955,0.000034492758,0.0000049477653,0.0099592665,0.00067135715,0.52010477,0.0002699087,0.0007258771,0.00016479426],"about_ca_topic_score_codex":0.00074610923,"about_ca_topic_score_gemma":0.00006343053,"teacher_disagreement_score":0.28672782,"about_ca_system_score_codex":0.000023549517,"about_ca_system_score_gemma":0.000008048871,"threshold_uncertainty_score":0.34395504},"labels":[],"label_agreement":null},{"id":"W4367149354","doi":"10.1021/cen-09920-feature3","title":"Making insulation more climate friendly","year":2021,"lang":"en","type":"article","venue":"C&EN Global Enterprise","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Blowing agent; Expanded polystyrene; Fluorocarbon; Environmental science; Materials science; Work (physics); Foaming agent; Refrigeration; Air conditioning; Thermal insulation; Carbon dioxide; Waste management; Composite material; Engineering; Mechanical engineering; Chemistry","score_opus":0.007739723203699818,"score_gpt":0.2856642676168044,"score_spread":0.2779245444131046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4367149354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96069247,0.000074074895,0.0009502062,0.00032123324,0.00014827104,0.00012562907,0.00003593825,0.00005726558,0.037594896],"genre_scores_gemma":[0.997752,0.000025422692,0.0014048634,0.0005399401,0.000028612689,0.0000071471277,0.00002332175,0.000009360956,0.00020930715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99869156,0.0000801344,0.0002029979,0.00035164665,0.0002877514,0.00038590946],"domain_scores_gemma":[0.99945813,0.000015802296,0.000054384876,0.00034571323,0.0000056812682,0.000120293764],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00014646715,0.00015103446,0.00012952703,0.000007997688,0.00012694394,0.000052780382,0.0001654885,0.00007570888,0.0023132255],"category_scores_gemma":[0.00008364811,0.000149987,0.000089750116,0.0002158046,0.0001310614,0.00032264448,0.0005489411,0.000093771516,0.0005118055],"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":[0.000036628062,0.00017904007,0.9834779,0.000014668712,0.000008244785,0.00011670517,0.0004813774,0.00085056835,0.0012704235,0.00023564734,0.00046272026,0.012866103],"study_design_scores_gemma":[0.0002968963,0.000035407356,0.98647434,0.000015799878,0.00001506638,0.00003604454,0.0007782372,0.0010716391,0.00041264226,0.00085752207,0.009821333,0.00018507744],"about_ca_topic_score_codex":0.0000686273,"about_ca_topic_score_gemma":0.000033753644,"teacher_disagreement_score":0.03738559,"about_ca_system_score_codex":0.0009573013,"about_ca_system_score_gemma":0.000012349968,"threshold_uncertainty_score":0.9985988},"labels":[],"label_agreement":null},{"id":"W4368247626","doi":"10.1007/978-3-031-29962-9_8","title":"A Sustainable Circular Economy in Energy Infrastructure: Application of Supercritical Water Gasification System","year":2023,"lang":"en","type":"book-chapter","venue":"Studies in systems, decision and control","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Circular economy; Remanufacturing; Business; Supercritical fluid; Sustainable development; Environmental economics; Engineering; Environmental planning; Environmental science; Economics; Manufacturing engineering; Political science","score_opus":0.011288063123345808,"score_gpt":0.24837396731434114,"score_spread":0.23708590419099532,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4368247626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.5714347,0.032874808,0.021895625,0.0009109953,0.0020975939,0.0166189,0.00021903098,0.0004201077,0.35352826],"genre_scores_gemma":[0.9927217,0.0005002266,0.000012145493,0.000031644147,0.00003611386,0.00025178562,0.000015521979,0.000032988868,0.006397914],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977086,0.000096275064,0.00092395203,0.0005749077,0.00031665587,0.0003796096],"domain_scores_gemma":[0.99911994,0.00025005694,0.000062344676,0.00044600124,0.000038195907,0.000083438164],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009775122,0.0003049984,0.00081418443,0.00017326772,0.00008503938,0.000027010707,0.0001900438,0.00027568953,0.000036830108],"category_scores_gemma":[0.00007931728,0.0002369746,0.00008206246,0.00006759474,0.00044399124,0.00014188403,0.00028977616,0.00017778395,0.00004070394],"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":[0.0013731681,0.00039799255,0.17441416,0.012185578,0.00074489776,0.00078382535,0.011136723,0.010809218,0.0027591127,0.721626,0.0027523092,0.061017033],"study_design_scores_gemma":[0.017291062,0.0012870086,0.10807759,0.003481145,0.0006478176,0.00028977043,0.18529251,0.038879853,0.0003713281,0.3012772,0.338412,0.0046927254],"about_ca_topic_score_codex":0.0005701501,"about_ca_topic_score_gemma":0.00008643161,"teacher_disagreement_score":0.421287,"about_ca_system_score_codex":0.0014674698,"about_ca_system_score_gemma":0.000013332265,"threshold_uncertainty_score":0.9663544},"labels":[],"label_agreement":null},{"id":"W4376115103","doi":"10.3390/su15107787","title":"Carbon Footprint Analysis of the Freight Transport Sector Using a Multi-Region Input–Output Model (MRIO) from 2000 to 2014: Evidence from Industrial Countries","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"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":"Carbon footprint; Gross domestic product; Urbanization; Business; Population; China; Productivity; Supply chain; Product (mathematics); Natural resource economics; Greenhouse gas; Agricultural economics; Industrial organization; Economics; Economic growth; Geography","score_opus":0.05559535151001572,"score_gpt":0.27982730941216133,"score_spread":0.22423195790214562,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376115103","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951145,0.000044825756,0.002076435,0.0009865469,0.00013100108,0.0013374063,0.0001992648,0.00007595518,0.000034047163],"genre_scores_gemma":[0.99910444,0.000012046905,0.00034795026,0.00008385177,0.000039677623,0.000050161216,0.000024167293,0.000025727992,0.00031198002],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.996393,0.00037200464,0.0007117814,0.0009767618,0.00086035137,0.00068605813],"domain_scores_gemma":[0.99761784,0.00029789814,0.00022792106,0.0014985424,0.00008027292,0.00027751504],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009449595,0.00037267094,0.00063731946,0.00015603044,0.00024686186,0.000035733625,0.0007365155,0.00027522937,0.00032159718],"category_scores_gemma":[0.00077565364,0.0002943906,0.00042532393,0.0018597317,0.00075443333,0.00022543436,0.0006344236,0.00035297067,0.000009882294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001828238,0.00012495971,0.76889247,0.000015695174,0.00010781617,0.000008448737,0.005828337,0.2234907,0.0008690072,0.0000030172293,0.000025827938,0.00045088815],"study_design_scores_gemma":[0.00038255166,0.00004543084,0.8935546,0.000021874916,0.0004743516,1.702776e-7,0.0015154707,0.10013832,0.0021746447,0.0012861883,0.00010633776,0.00030001265],"about_ca_topic_score_codex":0.12034214,"about_ca_topic_score_gemma":0.00746333,"teacher_disagreement_score":0.12466216,"about_ca_system_score_codex":0.005552939,"about_ca_system_score_gemma":0.00043642666,"threshold_uncertainty_score":0.9999508},"labels":[],"label_agreement":null},{"id":"W4376273463","doi":"10.1016/j.resconrec.2023.107031","title":"Tracking end-of-life stage of chemicals: A scalable data-centric and chemical-centric approach","year":2023,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"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":"U.S. Environmental Protection Agency","keywords":"Computer science; Software deployment; Scalability; Pipeline (software); Identification (biology); Data-driven; Data mining; Data science; Artificial intelligence; Database","score_opus":0.048685429827114456,"score_gpt":0.27828902771382247,"score_spread":0.229603597886708,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4376273463","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99819833,0.00032678485,0.00012938805,0.00019851726,0.000012941879,0.0001992916,0.000022912203,0.00003176991,0.0008800563],"genre_scores_gemma":[0.99815845,0.00037925213,0.0010038432,0.00008269838,0.000012468839,0.0000036015704,0.000052130523,0.000010583442,0.00029695788],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99876505,0.00006171957,0.00036684042,0.00033101666,0.0002511297,0.00022427081],"domain_scores_gemma":[0.99920356,0.00021323365,0.0001729072,0.0002761638,0.000006735788,0.00012739346],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068014796,0.00011274953,0.0002272946,0.000060562317,0.00008174309,0.000022907323,0.00017097313,0.000083520245,0.00014138006],"category_scores_gemma":[0.00039767125,0.0000997304,0.000028001567,0.00050020614,0.00034396883,0.00021644287,0.00041222438,0.000105211984,0.0000037378902],"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":[0.00005128998,0.00012855355,0.9320045,0.0003258768,0.000019277191,0.0000013831917,0.0010616204,0.00031404846,0.05089727,0.000021585503,0.00021136795,0.0149632115],"study_design_scores_gemma":[0.002276502,0.00006513694,0.71763,0.00011227112,0.00008151264,0.000009802168,0.006138951,0.21490364,0.030958207,0.00028242535,0.026967494,0.0005740026],"about_ca_topic_score_codex":0.0002570597,"about_ca_topic_score_gemma":0.0000030050512,"teacher_disagreement_score":0.2145896,"about_ca_system_score_codex":0.000042516484,"about_ca_system_score_gemma":0.000010190422,"threshold_uncertainty_score":0.40668878},"labels":[],"label_agreement":null},{"id":"W4378457460","doi":"10.5281/zenodo.7468687","title":"Guidelines for design decision-makers","year":2023,"lang":"en","type":"report","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Computer science; Management science; Engineering","score_opus":0.08383124159085537,"score_gpt":0.3349098568606428,"score_spread":0.2510786152697874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378457460","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01787914,0.0009881855,0.77742034,0.012907412,0.0011054496,0.0033411114,0.0003011146,0.00068538956,0.18537186],"genre_scores_gemma":[0.03508871,0.004741734,0.55458546,0.00054082565,0.00015773012,0.0007110825,0.0010523171,0.0003923016,0.40272984],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9946397,0.0017150921,0.00085829373,0.00097255607,0.0012090446,0.0006052987],"domain_scores_gemma":[0.9923718,0.0038648706,0.00049314887,0.0019185386,0.0010486959,0.00030295912],"candidate_categories":["metaresearch","metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.015712645,0.00044153107,0.00048153682,0.00011455456,0.00049537676,0.0001977045,0.001110794,0.00039151232,0.0012894232],"category_scores_gemma":[0.0216105,0.0004250072,0.0003747712,0.00048195428,0.00046069658,0.00021135973,0.0009432618,0.00033907342,0.00045606482],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000531352,0.0005440478,0.008012794,0.00017975249,0.000104790844,0.000017981667,0.0021204874,0.001026687,0.0008291054,0.0005611418,0.62267643,0.36387366],"study_design_scores_gemma":[0.0009285311,0.000002605197,0.018045591,0.0011705479,0.00014317199,0.000030565676,0.00040785605,0.010262674,0.0060513723,0.011861919,0.94991213,0.001183033],"about_ca_topic_score_codex":0.002948247,"about_ca_topic_score_gemma":0.0019847068,"teacher_disagreement_score":0.36269063,"about_ca_system_score_codex":0.0011511662,"about_ca_system_score_gemma":0.00033871862,"threshold_uncertainty_score":0.9998202},"labels":[],"label_agreement":null},{"id":"W4378576490","doi":"10.1016/j.ecolind.2023.110399","title":"Decoupling of economic growth and resources-environmental pressure in the Yangtze River Economic Belt, China","year":2023,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":61,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"Science Foundation of Ministry of Education of China; China Three Gorges University; Ministry of Education of the People's Republic of China; Major Program of National Fund of Philosophy and Social Science of China; National Natural Science Foundation of China","keywords":"Ecological footprint; Decoupling (probability); Geography; Sustainable development; China; Environmental science; Economy; Economics; Ecology","score_opus":0.005391259094533255,"score_gpt":0.22125819049782258,"score_spread":0.21586693140328933,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4378576490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99652195,0.000044324945,0.0000010923419,0.0003115368,0.000044421664,0.00035169264,0.00002842757,0.000025303061,0.0026712634],"genre_scores_gemma":[0.99954855,0.000111472495,0.00004271415,0.00010341793,0.000022871594,0.000032363703,0.000012360797,0.000010876038,0.000115341405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986625,0.00012624168,0.00030879196,0.00038684992,0.00014049788,0.00037512163],"domain_scores_gemma":[0.9993503,0.00018602297,0.00012318598,0.00023513839,1.4313163e-7,0.00010517728],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006760323,0.00016835427,0.00021974217,0.00008115849,0.00015115124,0.000020522597,0.0003913944,0.00013804303,0.002145201],"category_scores_gemma":[0.000035886576,0.000120334036,0.00007236487,0.00012322413,0.0009589205,0.00017332776,0.00046212625,0.00022222873,0.00028250224],"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":[0.000015457239,0.00010244552,0.9952197,0.0000072353605,0.0000105105755,0.000009850408,0.0016638185,0.0019355761,0.00010229415,0.0001015495,0.00029638232,0.00053516554],"study_design_scores_gemma":[0.00027381149,0.00013084586,0.9951653,0.0000018700342,0.000014392453,0.000004057645,0.0007439559,0.000923787,0.0001678031,0.0015329738,0.0009011014,0.0001400932],"about_ca_topic_score_codex":0.00031688102,"about_ca_topic_score_gemma":0.0000810245,"teacher_disagreement_score":0.0030266442,"about_ca_system_score_codex":0.00025846856,"about_ca_system_score_gemma":0.000006493364,"threshold_uncertainty_score":0.99876696},"labels":[],"label_agreement":null},{"id":"W4379517077","doi":"10.3233/epl-220067","title":"Environmentally Sound Technologies for Climate Change Mitigation in BRICS Countries: A Comparative Policy and Legal Perspective","year":2023,"lang":"en","type":"article","venue":"Environmental Policy and Law","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Centre for Polar and Ocean Research, Ministry of Earth Sciences; Alberta Agricultural Research Institute","keywords":"Greenhouse gas; Climate change; United Nations Framework Convention on Climate Change; Sustainable development; China; Context (archaeology); Negotiation; Business; Emerging markets; Natural resource economics; Position (finance); Climate change mitigation; Environmental resource management; Political science; Environmental planning; Kyoto Protocol; Economics; Environmental science; Geography; Ecology; Biology","score_opus":0.01965068446071872,"score_gpt":0.30323682017818776,"score_spread":0.28358613571746905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4379517077","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904199,0.00023836552,0.000017523624,0.0030917414,0.00002416783,0.0012626954,0.00032660022,0.000111589834,0.0045074066],"genre_scores_gemma":[0.9965293,0.0014311771,0.0001654288,0.0010366773,0.00008915839,0.0002961293,0.00005928834,0.000030315838,0.00036255247],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9979393,0.000070614624,0.00030101824,0.0006364915,0.00028703484,0.000765536],"domain_scores_gemma":[0.99933684,0.00016126783,0.0001030888,0.00025136487,0.0000011360847,0.00014632742],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032111385,0.0003465101,0.00032089744,0.00016445584,0.00044776083,0.00008361186,0.000163004,0.00017461041,0.00007557887],"category_scores_gemma":[0.000048074446,0.00034787017,0.000065799104,0.00028964278,0.0023383854,0.0008050547,0.0006077285,0.0001914553,0.00010283892],"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":[0.0007417052,0.0011726924,0.44569334,0.00027169357,0.00012132007,0.000106107225,0.04179796,0.0006029799,0.0129978405,0.4841987,0.00037892035,0.011916754],"study_design_scores_gemma":[0.0029104576,0.00081620726,0.8311841,0.000038984235,0.00004526263,0.0000709784,0.05863344,0.0015918247,0.0026723845,0.06709614,0.033833873,0.0011063826],"about_ca_topic_score_codex":0.0032254949,"about_ca_topic_score_gemma":0.0006950321,"teacher_disagreement_score":0.41710255,"about_ca_system_score_codex":0.0016584833,"about_ca_system_score_gemma":0.000009573804,"threshold_uncertainty_score":0.9998973},"labels":[],"label_agreement":null},{"id":"W4380354768","doi":"10.1021/acs.est.3c00453","title":"Accelerate Large-Scale Biomass Residue Utilization via Cofiring to Help China Achieve Its 2030 Carbon-Peaking Goals","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"Cofiring; Environmental science; Biomass (ecology); Residue (chemistry); Carbon fibers; China; Waste management; Scale (ratio); Chemistry; Engineering; Computer science; Coal","score_opus":0.013823687490737646,"score_gpt":0.26821855579185117,"score_spread":0.2543948683011135,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380354768","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925598,0.00005512547,0.00073846744,0.001619492,0.00027009638,0.0009228236,0.000025755218,0.0005053819,0.0033030512],"genre_scores_gemma":[0.99781555,0.000055118162,0.00050392316,0.0002329796,0.000035364275,0.0001144122,0.000021978334,0.000050662205,0.0011699969],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9952365,0.00008257836,0.0004979413,0.0014059767,0.001037788,0.0017391854],"domain_scores_gemma":[0.9984453,0.000027686141,0.00016564094,0.0009231939,0.0000041084104,0.00043411323],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0012906693,0.00044476302,0.0003515834,0.0006585316,0.0011425081,0.00009472662,0.0013829698,0.00027215737,0.0012032066],"category_scores_gemma":[0.00011787015,0.00044329136,0.00008708606,0.004255266,0.0017926474,0.00082299503,0.003038914,0.0003668325,0.0020895104],"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":[0.00002407359,0.00019202723,0.36638838,0.000008222614,0.0000059939575,0.000038404905,0.0011985955,0.0016432214,0.62102634,0.000038118596,0.00009379185,0.009342835],"study_design_scores_gemma":[0.00041125176,0.00032398486,0.6684198,0.000016306985,0.000014846764,0.00003818374,0.0025374994,0.007990661,0.3150866,0.0009691652,0.0035588113,0.0006329039],"about_ca_topic_score_codex":0.00019563662,"about_ca_topic_score_gemma":0.00015069103,"teacher_disagreement_score":0.30593973,"about_ca_system_score_codex":0.0020014818,"about_ca_system_score_gemma":0.000025058214,"threshold_uncertainty_score":0.9998019},"labels":[],"label_agreement":null},{"id":"W4380786143","doi":"10.1016/j.eiar.2023.107183","title":"Cradle to gate environmental impact assessment of the Iranian forestry operations","year":2023,"lang":"en","type":"article","venue":"Environmental Impact Assessment Review","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Life-cycle assessment; Environmental impact assessment; Exergy; Reforestation; Global warming; Environmental science; Global-warming potential; Forest management; Business; Environmental economics; Forestry; Greenhouse gas; Agricultural science; Environmental resource management; Natural resource economics; Production (economics); Climate change; Engineering; Geography; Waste management; Agroforestry; Economics","score_opus":0.012317481898841591,"score_gpt":0.35704689744696005,"score_spread":0.3447294155481185,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4380786143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99158555,0.0007294367,0.00017932909,0.0011315859,0.00019768029,0.0033765594,0.00044928733,0.00009253089,0.0022580125],"genre_scores_gemma":[0.9910753,0.004608539,0.0009436533,0.0011026334,0.000055753568,0.00030518352,0.00030745924,0.00010453685,0.0014969585],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99424374,0.00056764,0.00119164,0.0009967207,0.0017416705,0.0012586045],"domain_scores_gemma":[0.9968783,0.00010755548,0.00033578917,0.0018970553,0.0000032642192,0.0007780259],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014004881,0.00085888954,0.0009435332,0.00011851886,0.000606633,0.00009284331,0.0012042454,0.00017025135,0.01965582],"category_scores_gemma":[0.000058539845,0.00058909866,0.001068011,0.00094681495,0.0006785207,0.00080207206,0.0017591334,0.0006145331,0.0012722265],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017104738,0.0010651702,0.9120631,0.000210741,0.00017243894,0.000023471246,0.00034184853,0.053033687,0.02206623,0.000022901866,0.005000407,0.005982857],"study_design_scores_gemma":[0.0005758694,0.00054655987,0.98788095,0.000294908,0.00017710906,0.00003862327,0.00024070578,0.0049692974,0.000362037,0.000069477675,0.0041962373,0.00064824906],"about_ca_topic_score_codex":0.00039742098,"about_ca_topic_score_gemma":0.000039347906,"teacher_disagreement_score":0.075817786,"about_ca_system_score_codex":0.004639008,"about_ca_system_score_gemma":0.00011340687,"threshold_uncertainty_score":0.999656},"labels":[],"label_agreement":null},{"id":"W4381051058","doi":"10.1016/j.scitotenv.2023.164973","title":"A sector-disaggregated cross-regional emission analysis for carbon mitigation policies from production and consumption perspectives","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs; Canada Research Chairs","keywords":"Greenhouse gas; Climate change mitigation; Natural resource economics; Climate change; Production (economics); Fossil fuel; Carbon capture and storage (timeline); Electricity generation; Consumption (sociology); Business; Environmental economics; Environmental resource management; Environmental science; Economics; Power (physics); Engineering; Ecology","score_opus":0.018033648336568467,"score_gpt":0.2692080284799475,"score_spread":0.25117438014337906,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381051058","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976376,0.00006019082,0.000015623964,0.0015711738,0.00006512338,0.0005295394,0.00002037646,0.000021782105,0.000078566416],"genre_scores_gemma":[0.99866486,0.00006143523,0.00007381891,0.000008586156,0.000026750675,0.000033884324,0.000006621589,0.0000070268998,0.0011170472],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9984336,0.00007263534,0.00019373956,0.0004250657,0.000603557,0.0002714344],"domain_scores_gemma":[0.99925476,0.00006704644,0.00015337663,0.0004423124,0.0000060165567,0.00007651138],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006503019,0.00013343831,0.00013325448,0.000061267776,0.0005776598,0.000040980467,0.0002921272,0.00003949531,0.00015586133],"category_scores_gemma":[0.00014623554,0.00008066992,0.00010704316,0.000618839,0.0039650346,0.00024653279,0.00039465298,0.00007758645,0.000010111816],"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":[0.00007479781,0.0001107177,0.18745372,0.0000105800145,0.000067857014,1.5067857e-7,0.0088015115,0.15045086,0.6525762,0.000051852083,0.000047083664,0.00035464257],"study_design_scores_gemma":[0.00012412154,0.000041015785,0.9318984,0.0000074358854,0.00009376056,0.0000014858756,0.0019157492,0.015003553,0.04964847,0.0011552037,0.000010661357,0.00010010672],"about_ca_topic_score_codex":0.0008078439,"about_ca_topic_score_gemma":0.0000112371235,"teacher_disagreement_score":0.7444447,"about_ca_system_score_codex":0.00047345317,"about_ca_system_score_gemma":0.000012802785,"threshold_uncertainty_score":0.9987456},"labels":[],"label_agreement":null},{"id":"W4381163752","doi":"10.32920/23541834.v1","title":"Upgrading Existing Housing in Yellowknife to Achieve Energy Efficient Standards","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Zero-energy building; Renewable energy; Building envelope; Environmental science; Civil engineering; Meteorology; Engineering; Geography; Electrical engineering","score_opus":0.03165204154459817,"score_gpt":0.3073082570954402,"score_spread":0.275656215550842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381163752","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95073926,0.000020881345,0.010853988,0.00050275424,0.0004037692,0.0004849458,0.000046803998,0.00020519804,0.036742374],"genre_scores_gemma":[0.9925393,0.000018156335,0.002574055,0.00030813867,0.00006281093,0.00005949564,0.00001973676,0.00006980191,0.004348534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9965374,0.00014550422,0.000541227,0.0010070096,0.0009579627,0.0008109069],"domain_scores_gemma":[0.99878985,0.000101486665,0.00011483761,0.0006647243,0.000007882388,0.00032121668],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015129079,0.0004186855,0.00042342267,0.00017211871,0.00016086442,0.000121014506,0.00048919645,0.0002462615,0.0009133473],"category_scores_gemma":[0.0002806595,0.0004097673,0.00015778265,0.00045521656,0.00018617407,0.000071316164,0.0038340457,0.0005049734,0.00016546845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007405828,0.00020106831,0.07020555,0.00008432158,0.000015334876,0.0001312782,0.002297997,0.9109587,0.0011288569,0.0002046041,0.0016802932,0.01301795],"study_design_scores_gemma":[0.0024821127,0.00096168066,0.6157554,0.0015870729,0.00014237336,0.00002218496,0.015344329,0.2701504,0.010973503,0.033592205,0.041547816,0.007440966],"about_ca_topic_score_codex":0.010560162,"about_ca_topic_score_gemma":0.0031070064,"teacher_disagreement_score":0.6408083,"about_ca_system_score_codex":0.005004494,"about_ca_system_score_gemma":0.000060269726,"threshold_uncertainty_score":0.99999994},"labels":[],"label_agreement":null},{"id":"W4381165697","doi":"10.3389/fenvs.2023.1149492","title":"Global drivers of timber carbon stock from income-based perspective","year":2023,"lang":"en","type":"article","venue":"Frontiers in Environmental Science","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":"National Social Science Fund of China; National Office for Philosophy and Social Sciences; National Natural Science Foundation of China","keywords":"Stock (firearms); China; Natural resource economics; Carbon stock; Economics; Business; Agricultural economics; Ecology; Geography; Climate change","score_opus":0.004064951840281741,"score_gpt":0.22565671626000247,"score_spread":0.22159176441972073,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381165697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904876,0.000040468385,0.000313579,0.00011530768,0.00033231487,0.00039975258,0.00008864243,0.000048805337,0.008173546],"genre_scores_gemma":[0.9962495,0.00002061869,0.0034183774,0.00007095564,0.000013086939,0.000020633803,0.000013285649,0.000014324336,0.00017919809],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99694055,0.00008699019,0.00032747083,0.0008181259,0.001103313,0.00072356465],"domain_scores_gemma":[0.99903595,0.000034472418,0.00012727943,0.0005409053,0.0000025646102,0.00025884158],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005558205,0.00025964994,0.00029157024,0.00014425186,0.00016160439,0.00002214534,0.0007770137,0.000100898185,0.00067135505],"category_scores_gemma":[0.000068561705,0.00026038475,0.0000969535,0.0016120856,0.0038564906,0.00044752893,0.0006596838,0.00015674821,0.00010132255],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000042480115,0.00016591833,0.9768139,0.0000026619168,0.0000056551794,0.000019387931,0.0007374368,0.015896212,0.0046620234,0.000011021132,0.0002266177,0.0014166593],"study_design_scores_gemma":[0.0006143845,0.00010006662,0.9709333,0.000010034156,0.000010875085,7.791835e-7,0.0046801833,0.018471936,0.0028081709,0.0019382556,0.00015531188,0.00027668613],"about_ca_topic_score_codex":0.0031441757,"about_ca_topic_score_gemma":0.0001486341,"teacher_disagreement_score":0.007994347,"about_ca_system_score_codex":0.0057922313,"about_ca_system_score_gemma":0.000047785346,"threshold_uncertainty_score":0.99998486},"labels":[],"label_agreement":null},{"id":"W4381189928","doi":"10.32920/23541834","title":"Upgrading Existing Housing in Yellowknife to Achieve Energy Efficient Standards","year":2023,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"British Columbia Institute of Technology","funders":"","keywords":"Zero-energy building; Renewable energy; Building envelope; Environmental science; Civil engineering; Meteorology; Engineering; Geography; Electrical engineering","score_opus":0.03165204154459817,"score_gpt":0.3073082570954402,"score_spread":0.275656215550842,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381189928","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95073926,0.000020881345,0.010853988,0.00050275424,0.0004037692,0.0004849458,0.000046803998,0.00020519804,0.036742374],"genre_scores_gemma":[0.9925393,0.000018156335,0.002574055,0.00030813867,0.00006281093,0.00005949564,0.00001973676,0.00006980191,0.004348534],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9965374,0.00014550422,0.000541227,0.0010070096,0.0009579627,0.0008109069],"domain_scores_gemma":[0.99878985,0.000101486665,0.00011483761,0.0006647243,0.000007882388,0.00032121668],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015129079,0.0004186855,0.00042342267,0.00017211871,0.00016086442,0.000121014506,0.00048919645,0.0002462615,0.0009133473],"category_scores_gemma":[0.0002806595,0.0004097673,0.00015778265,0.00045521656,0.00018617407,0.000071316164,0.0038340457,0.0005049734,0.00016546845],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00007405828,0.00020106831,0.07020555,0.00008432158,0.000015334876,0.0001312782,0.002297997,0.9109587,0.0011288569,0.0002046041,0.0016802932,0.01301795],"study_design_scores_gemma":[0.0024821127,0.00096168066,0.6157554,0.0015870729,0.00014237336,0.00002218496,0.015344329,0.2701504,0.010973503,0.033592205,0.041547816,0.007440966],"about_ca_topic_score_codex":0.010560162,"about_ca_topic_score_gemma":0.0031070064,"teacher_disagreement_score":0.6408083,"about_ca_system_score_codex":0.005004494,"about_ca_system_score_gemma":0.000060269726,"threshold_uncertainty_score":0.99999994},"labels":[],"label_agreement":null},{"id":"W4381480654","doi":"10.1016/j.eneco.2023.106804","title":"Carbon emission reduction analysis for cloud computing industry: Can carbon emissions trading and technology innovation help?","year":2023,"lang":"en","type":"article","venue":"Energy Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":48,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McMaster University","funders":"National Office for Philosophy and Social Sciences","keywords":"Greenhouse gas; Reduction (mathematics); Carbon fibers; Environmental economics; Reduction strategy; Environmental science; Cloud computing; Promotion (chess); Computer science; Natural resource economics; Economics; Mathematics; Algorithm","score_opus":0.013747867448045011,"score_gpt":0.23690743673279957,"score_spread":0.22315956928475456,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381480654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99767804,0.000008441089,0.00009138321,0.0009832351,0.00012949982,0.000102387516,0.0000055229243,0.00008222716,0.000919258],"genre_scores_gemma":[0.9988678,0.000022197764,0.00016019038,0.000027714459,0.00007777177,0.000014467708,0.000062141386,0.000015655132,0.0007520716],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990402,0.000022749568,0.00026854506,0.00034971553,0.000047337675,0.0002714463],"domain_scores_gemma":[0.9995651,0.000028338207,0.0001250333,0.0001969777,0.0000056878607,0.00007882352],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00028709573,0.00012920158,0.00018555159,0.0003000054,0.00019062558,0.0000217278,0.000091054506,0.0002595508,0.000021882726],"category_scores_gemma":[0.000055654313,0.00013933015,0.0000352289,0.0013500088,0.00012548838,0.00006581055,0.00014146774,0.00014864953,2.1306634e-7],"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":[0.000012298896,0.000028694296,0.96338797,0.0000066344346,0.00005999336,9.0885084e-7,0.0003285627,0.011433451,0.013970059,0.00033469248,0.00011336345,0.010323352],"study_design_scores_gemma":[0.0004748995,0.00010781186,0.05928464,0.000010804342,0.00013059932,0.000008890288,0.003888716,0.8867678,0.039016634,0.007299288,0.0025716082,0.00043829225],"about_ca_topic_score_codex":0.0008709295,"about_ca_topic_score_gemma":0.000143078,"teacher_disagreement_score":0.90410334,"about_ca_system_score_codex":0.00056335947,"about_ca_system_score_gemma":0.000014629112,"threshold_uncertainty_score":0.56817186},"labels":[],"label_agreement":null},{"id":"W4381742266","doi":"10.3390/buildings13071584","title":"Life Cycle Assessment of the Environmental Benefits of Using Wood Products and Planting Trees at an All-Electric University Laboratory","year":2023,"lang":"en","type":"article","venue":"Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada; Concordia University","keywords":"Greenhouse gas; Life-cycle assessment; Carbon neutrality; Carbon footprint; Tree planting; Context (archaeology); Embodied energy; Environmental science; Environmental economics; Incineration; Engineering; Carbon sequestration; Waste management; Agroforestry; Carbon dioxide","score_opus":0.011624868167051678,"score_gpt":0.22863397477204087,"score_spread":0.21700910660498918,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4381742266","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994904,0.000035193312,0.0000048301804,0.0000848045,0.00002374593,0.00021025278,0.00003732636,0.000017844268,0.00009564484],"genre_scores_gemma":[0.9993494,0.000051396237,0.00046056416,0.000038179183,0.000008457211,6.0668924e-7,0.0000037282962,0.0000109689245,0.00007667146],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989554,0.00008206731,0.00015348969,0.00027697426,0.00029213435,0.00023990466],"domain_scores_gemma":[0.9994604,0.000033070653,0.00014736148,0.00024538866,0.000002665957,0.0001111238],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032388332,0.00011663594,0.00014621088,0.00004082875,0.00017604517,0.000007016586,0.00019865918,0.000050135663,0.00007762952],"category_scores_gemma":[0.000040256164,0.000100344754,0.000033664073,0.00037102998,0.00025551004,0.0002625493,0.0004343541,0.000082155835,0.0000025220959],"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":[0.000012754803,0.00009101029,0.6672928,0.000018223718,0.000010944142,0.0000013737175,0.00064118166,0.005903563,0.32529017,0.000021134936,0.000032591044,0.0006842726],"study_design_scores_gemma":[0.00022237499,0.00005948734,0.9562801,0.000008974297,0.00002886232,0.0000025145716,0.0006463818,0.003693182,0.038703337,0.000021117514,0.00022307785,0.000110563305],"about_ca_topic_score_codex":0.00023472808,"about_ca_topic_score_gemma":0.00002404083,"teacher_disagreement_score":0.28898734,"about_ca_system_score_codex":0.00034695573,"about_ca_system_score_gemma":0.000022618828,"threshold_uncertainty_score":0.40919402},"labels":[],"label_agreement":null},{"id":"W4382051879","doi":"10.1016/j.jobe.2023.107101","title":"District cradle to grave LCA including the development of a localized embodied carbon database and a detailed end-of-life carbon emission workflow","year":2023,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Concordia University; Canada Excellence Research Chairs, Government of Canada","keywords":"Greenhouse gas; Life-cycle assessment; Scope (computer science); Retrofitting; Engineering; Environmental impact assessment; Environmental science; Carbon footprint; Workflow; Scale (ratio); Waste management; Architectural engineering; Environmental engineering; Computer science; Database; Geography","score_opus":0.019506121507168003,"score_gpt":0.25928826064640104,"score_spread":0.23978213913923302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4382051879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99655,0.00009955041,0.002941479,0.00008305586,0.00008488614,0.00014040136,0.000001825803,0.000013500334,0.00008529755],"genre_scores_gemma":[0.98931795,0.000022675824,0.010597255,0.000007962005,0.000023964098,0.0000037662874,8.9302426e-7,0.000015485128,0.000010026513],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99862987,0.000033343462,0.0005390748,0.00013449289,0.00041594007,0.00024728652],"domain_scores_gemma":[0.9992852,0.00014293166,0.00020080955,0.0001676681,0.0000096508675,0.00019370153],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009826523,0.00014258143,0.0002872545,0.00012315482,0.00007048215,0.0000133221265,0.00020370621,0.000040986673,0.000014265029],"category_scores_gemma":[0.00043881766,0.00010361747,0.00005911288,0.0004526655,0.000057732435,0.00008698347,0.00037056534,0.00017575629,2.806399e-7],"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":[0.00015414883,0.00009257218,0.26515287,0.00024343026,0.00009988686,0.000034303077,0.0049709156,0.1545702,0.56431544,0.000015765349,0.00004139605,0.010309047],"study_design_scores_gemma":[0.0025061741,0.00035142578,0.47972894,0.0011951596,0.00015895825,0.000053846823,0.0025881527,0.29942378,0.21108815,0.00023230871,0.0018570051,0.0008161155],"about_ca_topic_score_codex":0.000053442844,"about_ca_topic_score_gemma":0.000008275386,"teacher_disagreement_score":0.3532273,"about_ca_system_score_codex":0.00030845086,"about_ca_system_score_gemma":0.00003281285,"threshold_uncertainty_score":0.42253977},"labels":[],"label_agreement":null},{"id":"W4383217702","doi":"10.1016/j.oneear.2023.06.003","title":"The evolution of “phase-out” as a bridging concept for sustainability: From pollution to climate change","year":2023,"lang":"en","type":"article","venue":"One Earth","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":24,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Japan Society for the Promotion of Science; Social Sciences and Humanities Research Council of Canada; Universität St. Gallen; Deutscher Akademischer Austauschdienst; Georgia Forestry Foundation","keywords":"Sustainability; Climate change; Transformative learning; Environmental planning; Sustainability science; Phase (matter); Political science; Context (archaeology); Environmental ethics; Environmental resource management; Engineering ethics; Sociology; Environmental science; Geography; Engineering; Social sustainability; Ecology","score_opus":0.019523817093354802,"score_gpt":0.28735836992253916,"score_spread":0.26783455282918434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383217702","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9937054,0.000048435453,0.0012027916,0.0030567537,0.00009489133,0.001194337,0.00013093838,0.00005781562,0.00050863286],"genre_scores_gemma":[0.9987862,0.00001641204,0.0001338541,0.00013211586,0.000072706396,0.00012695126,0.000028180775,0.000012764467,0.000690831],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99872476,0.000073676434,0.00020744902,0.0002780091,0.00025462918,0.00046150744],"domain_scores_gemma":[0.9993719,0.000094963325,0.00007156613,0.00033358275,0.000013537379,0.00011444702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056659523,0.00010885091,0.00013980204,0.000027984519,0.00031114125,0.000026475956,0.00015447178,0.000048065674,0.00018199602],"category_scores_gemma":[0.00029252592,0.000091310954,0.00008023289,0.00027294445,0.00025784073,0.00020033478,0.00021984696,0.00006210154,0.00019904172],"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":[0.0015979491,0.0012842099,0.28978446,0.00015803402,0.0000928597,0.0000137676325,0.032967024,0.0030499508,0.06358839,0.010872716,0.0029906074,0.59360003],"study_design_scores_gemma":[0.001527921,0.00096798886,0.931647,0.000028677654,0.000042653977,8.8359155e-7,0.012396203,0.006578475,0.00798485,0.027442891,0.011049811,0.0003326602],"about_ca_topic_score_codex":0.002607024,"about_ca_topic_score_gemma":0.0005167472,"teacher_disagreement_score":0.6418625,"about_ca_system_score_codex":0.0006109812,"about_ca_system_score_gemma":0.000020138028,"threshold_uncertainty_score":0.3941058},"labels":[],"label_agreement":null},{"id":"W4383456853","doi":"10.1016/b978-0-12-820361-3.00001-2","title":"Biodiesel plants: real-world sustainability analysis using environmental and social life cycle assessment","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Sustainability; Life-cycle assessment; Biodiesel; Greenhouse gas; Biodiesel production; Environmental economics; Natural resource economics; Biofuel; Engineering; Environmental science; Production (economics); Waste management; Economics; Ecology","score_opus":0.01681256340933519,"score_gpt":0.2783928332875102,"score_spread":0.261580269878175,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383456853","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20518826,0.000063557076,0.00001040837,0.00019907874,0.00012750296,0.0013270034,0.00050558115,0.00015208939,0.7924265],"genre_scores_gemma":[0.32769915,0.00013799891,0.00022298505,0.00026582717,0.00011779988,0.00004175745,0.00018488581,0.000118073935,0.67121154],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9960648,0.00014679371,0.00079923053,0.0012463075,0.00092270103,0.000820182],"domain_scores_gemma":[0.99830437,0.0001144447,0.00041389067,0.00075400854,0.0000074445284,0.00040585126],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00078324205,0.0007868523,0.0010665568,0.000302909,0.0007119371,0.000110435016,0.00037632967,0.0004109473,0.0029234765],"category_scores_gemma":[0.0000160039,0.0007878647,0.0005467039,0.000076427146,0.0016267332,0.00023348279,0.0013253305,0.0006781937,0.0001739932],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016797529,0.0003251064,0.17479622,0.00044410725,0.002867296,0.00034669577,0.003906631,0.0009322538,0.00028038392,0.0017231618,0.00025238376,0.81395775],"study_design_scores_gemma":[0.0012921075,0.00024790273,0.717355,0.00005765716,0.003958815,0.000013325507,0.0030355202,0.0029037332,0.00002298116,0.036890574,0.23084785,0.0033745226],"about_ca_topic_score_codex":0.0001415728,"about_ca_topic_score_gemma":0.0005880042,"teacher_disagreement_score":0.81058323,"about_ca_system_score_codex":0.003951763,"about_ca_system_score_gemma":0.000092096205,"threshold_uncertainty_score":0.9998719},"labels":[],"label_agreement":null},{"id":"W4383500991","doi":"10.1016/j.buildenv.2023.110599","title":"Product stage embodied greenhouse gas reductions in single-family dwellings: Drivers of greenhouse gas emissions and variability between Toronto, Perth, and Luzon","year":2023,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Environmental science; Emission intensity; Embodied energy; Embodied cognition; Environmental engineering; Engineering; Computer science; Ecology","score_opus":0.018756325362637195,"score_gpt":0.24320014927356276,"score_spread":0.22444382391092557,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383500991","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99797076,0.00024010762,0.00010514855,0.00041525628,0.00003944821,0.000511633,0.000036348367,0.000063901396,0.00061740994],"genre_scores_gemma":[0.9946147,0.0031912636,0.001629662,0.000020089372,0.00003254165,0.000024798104,0.000011285862,0.000031753072,0.00044386936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997733,0.00016303873,0.00043866038,0.0008179641,0.0003446938,0.00050264905],"domain_scores_gemma":[0.9989765,0.0001254942,0.00012206111,0.00046264954,0.0000022335546,0.00031104236],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008870659,0.00030048858,0.00036711412,0.00006138958,0.00027569817,0.000031911248,0.00013880778,0.00011868003,0.00020474165],"category_scores_gemma":[0.000095245414,0.0002872323,0.000053503987,0.00015296167,0.0010293778,0.0003584478,0.00051929464,0.00020025998,0.0000074586205],"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":[0.00005341838,0.0004572685,0.8752136,0.00011520004,0.000032598757,0.000012823348,0.00443153,0.0022516397,0.07446163,0.00004967927,0.0001502128,0.04277035],"study_design_scores_gemma":[0.000823716,0.00036648268,0.98570883,0.000051485724,0.00007345548,0.0000079432675,0.0033482872,0.0007567534,0.0029398336,0.0015222959,0.0039335405,0.00046734576],"about_ca_topic_score_codex":0.00280386,"about_ca_topic_score_gemma":0.0001602205,"teacher_disagreement_score":0.11049522,"about_ca_system_score_codex":0.0005973104,"about_ca_system_score_gemma":0.000008775951,"threshold_uncertainty_score":0.999958},"labels":[],"label_agreement":null},{"id":"W4383818684","doi":"10.33423/jabe.v25i3.6198","title":"Evaluating the Net Effect of the ISDE Subsidy Scheme in the Netherlands – Comparison of Evaluation Methods to Estimate Additionality","year":2023,"lang":"en","type":"article","venue":"Journal of Applied Business and Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Additionality; Subsidy; Government (linguistics); Stove; Investment (military); Order (exchange); Economics; Business; Environmental economics; Engineering; Finance; Waste management","score_opus":0.04602523472950886,"score_gpt":0.411286061353423,"score_spread":0.3652608266239141,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383818684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983804,0.000023112065,0.00009377716,0.00061896705,0.000057375455,0.00036539274,0.000004726634,0.000001184106,0.00045504907],"genre_scores_gemma":[0.9985963,0.000010632822,0.0012729544,0.00006777761,0.000025522762,0.000015257657,0.000002918495,0.000004742076,0.0000038635626],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998919,0.00022702527,0.00043439804,0.00009378034,0.00020884223,0.000116926254],"domain_scores_gemma":[0.998912,0.00047551817,0.00038818063,0.00018362231,0.000015989313,0.000024695206],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0071398215,0.000085137755,0.00022992936,0.000025833515,0.000094350886,0.0000209108,0.00021567167,0.000035301375,0.00010762002],"category_scores_gemma":[0.00019305541,0.00004172009,0.00005113883,0.00027127902,0.00016340216,0.00009104727,0.0001284964,0.00012295794,0.0000018279773],"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":[0.0003715508,0.00009303961,0.3449257,0.000051313484,0.000026505157,2.2116328e-7,0.00304454,0.5853986,0.008599855,0.00013558699,0.00026292115,0.05709013],"study_design_scores_gemma":[0.00044093418,0.00010486906,0.9336517,0.000012175195,0.00004055888,0.0000032836992,0.00079784857,0.059374508,0.0023942627,0.0030209408,0.00010901357,0.000049898168],"about_ca_topic_score_codex":0.000052556723,"about_ca_topic_score_gemma":0.000045605786,"teacher_disagreement_score":0.588726,"about_ca_system_score_codex":0.0001184324,"about_ca_system_score_gemma":0.000022509987,"threshold_uncertainty_score":0.24745339},"labels":[],"label_agreement":null},{"id":"W4383872258","doi":"10.1021/acs.est.3c00644","title":"Impact of Biogenic Carbon Neutrality Assumption for Achieving a Net-Zero Emission Target: Insights from a Techno-Economic Analysis","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; HEC Montréal; Group for Research in Decision Analysis; École de Technologie Supérieure","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon neutrality; Carbon sequestration; Greenhouse gas; Bio-energy with carbon capture and storage; Environmental science; Bioenergy; Atmospheric carbon cycle; Natural resource economics; Fossil fuel; Biomass (ecology); Carbon sink; Climate change mitigation; Carbon price; Renewable energy; Environmental economics; Climate change; Carbon dioxide; Ecology; Economics","score_opus":0.007265313356977861,"score_gpt":0.262775165426727,"score_spread":0.25550985206974913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383872258","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979514,0.00007136303,0.00050221186,0.00015189174,0.00007369338,0.00069298455,0.00012794089,0.00020628847,0.00022222761],"genre_scores_gemma":[0.9988936,0.000054456297,0.00071259995,0.000011904218,0.0000150518945,0.0000884387,0.000086036474,0.000024141642,0.00011372385],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99703413,0.000049345013,0.0005418389,0.0010911503,0.00046451483,0.00081900397],"domain_scores_gemma":[0.99847114,0.000064092026,0.00030472485,0.00092821056,0.0000027862748,0.00022906515],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005444872,0.00035007144,0.0004927808,0.0008974094,0.00040297752,0.00003126066,0.00094840553,0.00030554525,0.0005959202],"category_scores_gemma":[0.00006561582,0.00030922942,0.00039117786,0.0028444005,0.0028769055,0.00048885343,0.00095853506,0.00023003541,0.00011038711],"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":[0.000025864061,0.00009409704,0.55474913,0.0000021546225,0.000051154937,0.0000018601844,0.00014658528,0.008605134,0.43428922,0.000013247135,0.000011626342,0.0020099133],"study_design_scores_gemma":[0.00036975753,0.00035680024,0.88658243,0.0000049276446,0.00012653814,0.000002190856,0.00039577164,0.023655992,0.083524644,0.004493293,0.00015455592,0.000333094],"about_ca_topic_score_codex":0.0023594107,"about_ca_topic_score_gemma":0.00006319862,"teacher_disagreement_score":0.35076457,"about_ca_system_score_codex":0.0031251865,"about_ca_system_score_gemma":0.00004294168,"threshold_uncertainty_score":0.999936},"labels":[],"label_agreement":null},{"id":"W4383893974","doi":"10.1016/j.jobe.2023.107102","title":"A lifecycle assessment-based environmental analysis of building operationally energy efficient houses in Nova Scotia","year":2023,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Dalhousie University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Embodied energy; Environmental impact assessment; Baseline (sea); Ecological footprint; Environmental economics; Single-family detached home; Efficient energy use; Nova scotia; Electricity; Energy consumption; Impact assessment; Environmental science; Architectural engineering; Engineering; Environmental resource management; Sustainability; Production (economics); Geography; Ecology; Economics","score_opus":0.0062512962289150605,"score_gpt":0.2492738514336597,"score_spread":0.24302255520474464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383893974","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96780235,0.000042681724,0.03185482,0.00006483324,0.00010987909,0.00006319133,0.000008821028,0.000019268444,0.000034183802],"genre_scores_gemma":[0.990792,0.000011301325,0.009097206,0.000031937183,0.000027341091,0.0000018112787,0.000005025255,0.000022603483,0.0000108237155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9982176,0.000046729365,0.00061968085,0.00019760129,0.00059812755,0.00032030686],"domain_scores_gemma":[0.99931103,0.00015445848,0.00022312634,0.00018077849,0.0000059214,0.00012466822],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008107876,0.00017425657,0.000382003,0.00065510225,0.0000382826,0.000029888904,0.00025438578,0.00006313174,0.0002969035],"category_scores_gemma":[0.000086098036,0.00016835032,0.0002315966,0.0012100592,0.00006797563,0.0002167054,0.00013738046,0.00018983368,0.000002706748],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000006406668,0.00010036674,0.21845867,0.0000082624365,0.00006884166,0.000021607706,0.000055745153,0.6233283,0.15770271,0.000029099185,0.000014218243,0.00020573789],"study_design_scores_gemma":[0.00030806765,0.00005794975,0.526232,0.000029547504,0.00008461702,0.000004045457,0.00007240199,0.46285948,0.010171732,0.0000065793615,0.00005315853,0.000120393684],"about_ca_topic_score_codex":0.00020285996,"about_ca_topic_score_gemma":0.000035127177,"teacher_disagreement_score":0.30777335,"about_ca_system_score_codex":0.00082206534,"about_ca_system_score_gemma":0.00002731572,"threshold_uncertainty_score":0.6865127},"labels":[],"label_agreement":null},{"id":"W4385074785","doi":"10.1111/gcbb.13081","title":"Under what circumstances can the forest sector contribute to 2050 climate change mitigation targets? A study from forest ecosystems to landfill methane emissions for the province of Quebec, Canada","year":2023,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":22,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Sport Centre Pacific; Natural Resources Canada; Université Laval","funders":"Natural Resources Canada","keywords":"Greenhouse gas; Environmental science; Baseline (sea); Climate change mitigation; Climate change; Carbon sequestration; Sustainability; Forest management; Business as usual; Sustainable forest management; Forest product; Environmental protection; Natural resource economics; Agroforestry; Carbon dioxide; Ecology; Economics","score_opus":0.015951728110498394,"score_gpt":0.24388855209468993,"score_spread":0.22793682398419154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385074785","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863927,0.00015316723,0.00018566163,0.009808433,0.00033998277,0.0023892152,0.00068011787,0.00002593798,0.00002479616],"genre_scores_gemma":[0.99755085,0.00005914015,0.000018233426,0.00086259044,0.000098311575,0.0007699885,0.00014753018,0.00001977601,0.00047357855],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99830604,0.0001288892,0.00029042023,0.00035787534,0.00040700188,0.00050979754],"domain_scores_gemma":[0.99881834,0.000371098,0.00011925002,0.0004607133,0.00001745959,0.00021314675],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046467027,0.00018981389,0.0002331244,0.000027503556,0.0003046261,0.00006867971,0.00040339128,0.000046322566,0.00010213353],"category_scores_gemma":[0.000105491476,0.000110880035,0.00006401894,0.00034568174,0.00008695788,0.00020431021,0.0002563166,0.00006403005,0.000008619659],"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":[0.00043393427,0.00041232142,0.88912815,0.00010786344,0.0002585342,0.000036438134,0.010085486,0.057178233,0.010191901,0.00040574424,0.022379164,0.009382214],"study_design_scores_gemma":[0.00062932074,0.00028190928,0.93896854,0.00005304389,0.00006054279,6.8596285e-7,0.026888808,0.0022381183,0.0031508247,0.0004658239,0.026955444,0.00030693493],"about_ca_topic_score_codex":0.89673775,"about_ca_topic_score_gemma":0.99850875,"teacher_disagreement_score":0.101770975,"about_ca_system_score_codex":0.0007248731,"about_ca_system_score_gemma":0.00007013995,"threshold_uncertainty_score":0.45215565},"labels":[],"label_agreement":null},{"id":"W4385219885","doi":"10.5465/amproc.2023.11122abstract","title":"Hybridizing Life Cycle Assessment (LCA) with Local Stakeholder Inputs","year":2023,"lang":"en","type":"article","venue":"Academy of Management Proceedings","topic":"Environmental Impact and Sustainability","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":"Alberta Health; University of Alberta; Fields Institute for Research in Mathematical Sciences","funders":"","keywords":"Life-cycle assessment; Stakeholder; Business; Environmental resource management; Process management; Environmental planning; Environmental science; Economics; Political science; Production (economics); Microeconomics; Public relations","score_opus":0.022171341608029107,"score_gpt":0.2644205848381367,"score_spread":0.24224924323010757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385219885","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94992995,0.000008763952,0.00044871357,0.0026386634,0.000018114042,0.000577367,0.0000025215863,0.00016179988,0.046214107],"genre_scores_gemma":[0.99548227,0.00007055627,0.0014676899,0.0009363464,0.000021686245,0.000064397645,0.0000038703733,0.00003131324,0.001921876],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99775463,0.000012699944,0.000328621,0.00050903985,0.0008313054,0.00056371174],"domain_scores_gemma":[0.9995056,0.000019950061,0.0001564955,0.0001056375,0.000004927498,0.00020739314],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069336506,0.00023378471,0.00023036146,0.00010519607,0.00015650879,0.00004133508,0.00040651075,0.00007708371,0.00052322797],"category_scores_gemma":[0.00001307155,0.00020216887,0.000056203808,0.0006967432,0.0004263429,0.0007143226,0.00072545395,0.00025240437,0.00019251126],"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":[0.00026031677,0.0008424825,0.80447894,0.001358575,0.00042345477,0.000056517078,0.0022619378,0.01579114,0.004612237,0.010096494,0.059717838,0.10010007],"study_design_scores_gemma":[0.00082847103,0.000165884,0.9702022,0.00005451144,0.000071009825,0.0000034994666,0.0031744193,0.002993447,0.002466182,0.001901541,0.017763883,0.0003749199],"about_ca_topic_score_codex":0.000025701751,"about_ca_topic_score_gemma":8.9107164e-7,"teacher_disagreement_score":0.1657233,"about_ca_system_score_codex":0.00031571233,"about_ca_system_score_gemma":0.0000054361326,"threshold_uncertainty_score":0.8244207},"labels":[],"label_agreement":null},{"id":"W4385348623","doi":"10.3390/su151511623","title":"Social Sustainability of Raw Rubber Production: A Supply Chain Analysis under Sri Lankan Scenario","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"Supply chain; Business; Product (mathematics); Corporate governance; Sustainability; Production (economics); Natural rubber; Raw material; Economics; Finance; Marketing","score_opus":0.00986569147471302,"score_gpt":0.28138881433237745,"score_spread":0.27152312285766445,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385348623","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9840874,0.000017511784,0.00020798929,0.011274382,0.00010250439,0.0016592777,0.00002188819,0.0002633634,0.0023656865],"genre_scores_gemma":[0.9946047,0.000006731036,0.000058852598,0.00009901544,0.00009265172,0.00014612233,0.00008021183,0.000021764308,0.0048899483],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99473923,0.0007004022,0.0008690336,0.0012898552,0.0011076321,0.0012938448],"domain_scores_gemma":[0.9975294,0.00016151182,0.00027313363,0.0014058175,0.00032576645,0.00030438177],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00351272,0.00047028408,0.000798238,0.00030688703,0.0006205462,0.000055167115,0.00056898367,0.00030886938,0.0021947823],"category_scores_gemma":[0.0019843052,0.00044749293,0.0006693321,0.005039141,0.0023040127,0.0005707192,0.000893026,0.0004631096,0.00007946487],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019684792,0.00070067943,0.96614856,0.00031871613,0.00015332519,0.000021225436,0.00605421,0.020927928,0.00017392244,0.0017729698,0.0015790721,0.0019525193],"study_design_scores_gemma":[0.0003969664,0.00012196762,0.9291729,0.000002301254,0.00025658592,0.0000023850387,0.01714731,0.00052097486,0.0007009303,0.04867746,0.0025569636,0.00044330905],"about_ca_topic_score_codex":0.003294712,"about_ca_topic_score_gemma":0.00097534596,"teacher_disagreement_score":0.04690449,"about_ca_system_score_codex":0.0071080755,"about_ca_system_score_gemma":0.00036849992,"threshold_uncertainty_score":0.9997977},"labels":[],"label_agreement":null},{"id":"W4385417916","doi":"10.1163/9789004322714_cclc_2020-0051-0273","title":"THE LOGGING LOOPHOLE: HOW THE LOGGING INDUSTRY’S UNREGULATED CARBON EMISSIONS UNDERMINE CANADA’S CLIMATE GOALS","year":2023,"lang":"en","type":"dataset","venue":"Climate Change and Law Collection","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Logging; Natural resource economics; Climate change; Greenhouse gas; Business; Environmental science; Environmental resource management; Forestry; Geography; Ecology; Economics","score_opus":0.03389837054735892,"score_gpt":0.2563500989739955,"score_spread":0.2224517284266366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385417916","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.18939911,0.0014577411,8.9659477e-7,0.025372252,0.0033423381,0.0043020234,0.7723288,0.00029720538,0.0034996606],"genre_scores_gemma":[0.30970022,0.034149837,0.000007725617,0.0050788308,0.0016172181,0.0013095546,0.63414955,0.0003179362,0.013669097],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99749446,0.00023970984,0.0003113375,0.0005576986,0.0004636289,0.00093314145],"domain_scores_gemma":[0.99863565,0.0002491699,0.0002586711,0.0006334881,0.000010184924,0.00021283323],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0007137728,0.00042454948,0.00032473766,0.000044595043,0.0031722463,0.00025923047,0.00035436222,0.00048440773,0.00012272663],"category_scores_gemma":[0.000074628515,0.00027377476,0.000067475296,0.0004738827,0.0005796408,0.00015492958,0.0007743744,0.00090031186,0.000023617153],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034056582,0.00003952072,0.0017924414,0.00013582264,0.000031688734,0.000051766234,0.00017261949,0.00004471945,0.000071105096,0.0000111723575,0.9971076,0.0005074885],"study_design_scores_gemma":[0.00033747978,0.00009359439,0.014866721,0.00011865414,0.00014870237,0.00004399123,0.0026754953,0.00079599966,0.000072911505,0.00011215273,0.98025066,0.0004836594],"about_ca_topic_score_codex":0.5209629,"about_ca_topic_score_gemma":0.7686097,"teacher_disagreement_score":0.24764682,"about_ca_system_score_codex":0.0015216402,"about_ca_system_score_gemma":0.00007097108,"threshold_uncertainty_score":0.99997145},"labels":[],"label_agreement":null},{"id":"W4385421409","doi":"10.18280/ijsdp.180730","title":"Life Cycle Assessment of Wood Chips from Residual Biomass: A Case Study","year":2023,"lang":"en","type":"article","venue":"International Journal of Sustainable Development and Planning","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Residual; Biomass (ecology); Environmental science; Pulp and paper industry; Agricultural engineering; Waste management; Engineering; Mathematics; Agronomy; Production (economics); Biology; Economics; Algorithm","score_opus":0.020469137494763125,"score_gpt":0.30423419050123995,"score_spread":0.2837650530064768,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385421409","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986627,0.000049799088,0.00013334447,0.00020172828,0.000143085,0.00016825233,0.000004673996,0.000012302588,0.0006241304],"genre_scores_gemma":[0.99812746,0.000007840364,0.0014504393,0.000046289937,0.000068116104,0.000005339163,0.00000955217,0.000009577542,0.00027536845],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99829656,0.00007787932,0.00054457725,0.00016700734,0.0006674679,0.00024653735],"domain_scores_gemma":[0.9992195,0.00013801233,0.00030657396,0.00008478511,0.00006612368,0.00018501632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001009647,0.00013299796,0.00020646153,0.00021799188,0.00014048097,0.000067073604,0.00024376374,0.00004353431,0.00023294274],"category_scores_gemma":[0.0002302597,0.00011604254,0.000039675884,0.00022238473,0.000077551995,0.0004374,0.0003942748,0.00015900582,0.000004918808],"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":[0.000096073294,0.00031599926,0.9405022,0.000016490563,0.00024944815,0.02703519,0.02546549,0.0026316256,0.0002290738,0.000022741195,0.0005935194,0.0028421527],"study_design_scores_gemma":[0.0009316476,0.0001419083,0.7267016,0.000025992873,0.000021107831,0.00022178072,0.26989806,0.00037612845,0.00028642596,0.0003457932,0.00091598113,0.00013358353],"about_ca_topic_score_codex":0.0006609356,"about_ca_topic_score_gemma":0.000018985182,"teacher_disagreement_score":0.24443257,"about_ca_system_score_codex":0.0003596176,"about_ca_system_score_gemma":0.00015181534,"threshold_uncertainty_score":0.47320774},"labels":[],"label_agreement":null},{"id":"W4385431408","doi":"10.1016/j.softx.2023.101485","title":"EcoDynElec: Open Python package to create historical profiles of environmental impacts from regional electricity mixes","year":2023,"lang":"en","type":"article","venue":"SoftwareX","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Bundesamt für Energie","keywords":"Python (programming language); Electricity; Computer science; Open source; Electricity system; Electricity generation; Database; Programming language; Engineering; Software; Electrical engineering","score_opus":0.018145484601618234,"score_gpt":0.2564998175530732,"score_spread":0.23835433295145497,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385431408","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972694,0.000055289413,0.00016392607,0.0005448692,0.0000837623,0.00073055207,0.0001932764,0.00012209978,0.00083683245],"genre_scores_gemma":[0.99454886,0.00006610965,0.0016546019,0.00032638875,0.000036157184,0.00006061522,0.00012722291,0.000042569438,0.0031374716],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976258,0.00013391535,0.00039472932,0.0006276567,0.0005797102,0.0006381381],"domain_scores_gemma":[0.99870384,0.00018320113,0.00013653544,0.00056650763,0.000003383749,0.00040652763],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00040037642,0.00027966194,0.00037436132,0.00007628802,0.0001872659,0.00004380629,0.0007430228,0.00013031659,0.0035104381],"category_scores_gemma":[0.00020812063,0.00025839364,0.00013528041,0.00048976997,0.00020014483,0.0004147862,0.001089154,0.00018406287,0.0012730513],"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":[0.00021300705,0.0004635597,0.849523,0.000015326088,0.00003215103,0.000035836914,0.0012710955,0.00007764992,0.106948584,0.000010502449,0.03243553,0.008973778],"study_design_scores_gemma":[0.00040693412,0.00032797773,0.9655297,0.0000116339415,0.000020824731,0.000003258972,0.00021499817,0.000048818652,0.01970581,0.0019604573,0.011439783,0.00032983933],"about_ca_topic_score_codex":0.0059562614,"about_ca_topic_score_gemma":0.0001851418,"teacher_disagreement_score":0.11600668,"about_ca_system_score_codex":0.0022550542,"about_ca_system_score_gemma":0.000029146331,"threshold_uncertainty_score":0.9999868},"labels":[],"label_agreement":null},{"id":"W4385437555","doi":"10.1016/j.rser.2023.113583","title":"The development of complex engineering models using artificial neural network-based proxy models for life cycle assessments of energy systems","year":2023,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial neural network; Mean squared error; Computer science; Sampling (signal processing); Approximation error; Data mining; Engineering; Algorithm; Statistics; Machine learning; Mathematics","score_opus":0.05513341699823455,"score_gpt":0.2841590954940172,"score_spread":0.22902567849578265,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385437555","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.28052476,0.0073635024,0.70879453,0.00007328263,0.0001789975,0.0017844136,0.000012580527,0.0000805714,0.0011873686],"genre_scores_gemma":[0.99353784,0.00071771746,0.0041118055,0.000038344315,0.000051276933,0.0002894078,0.00003438821,0.000035828078,0.0011833726],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975513,0.00013867162,0.0008826438,0.0003305962,0.00030053098,0.0007962379],"domain_scores_gemma":[0.9990176,0.00012176938,0.00031143392,0.00035110457,0.000035280667,0.00016279884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015715178,0.00025199502,0.0005479244,0.000055524644,0.00046916615,0.00005352561,0.00024521927,0.00008372827,0.00001021681],"category_scores_gemma":[0.000054872413,0.00019062322,0.00012561519,0.0004966624,0.0001304305,0.00032965298,0.0002829958,0.000049301398,2.5062081e-7],"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":[0.00003987525,0.000051739855,0.00027504368,0.00046961076,0.000021648599,0.0000013571736,0.000066079614,0.9901497,0.00063034846,0.003246063,0.00019992681,0.0048486413],"study_design_scores_gemma":[0.000203058,0.000065348504,0.000095259915,0.000055268476,0.000027667102,7.085798e-7,0.000579689,0.97438294,0.00047669618,0.004197181,0.019718263,0.00019789452],"about_ca_topic_score_codex":0.0021877056,"about_ca_topic_score_gemma":0.00010998104,"teacher_disagreement_score":0.7130131,"about_ca_system_score_codex":0.0002998505,"about_ca_system_score_gemma":0.0001165655,"threshold_uncertainty_score":0.7773389},"labels":[],"label_agreement":null},{"id":"W4385491846","doi":"10.1016/j.jclepro.2023.138304","title":"Analytic hierarchy process-based life cycle assessment of the renewable energy production by orchard residual biomass-fueled direct-fired power generation system","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Lakehead University","funders":"","keywords":"Analytic hierarchy process; Life-cycle assessment; Renewable energy; Environmental science; Biomass (ecology); Environmental economics; Environmental engineering; Agricultural engineering; Mathematics; Engineering; Production (economics); Operations research; Economics; Agronomy; Biology; Electrical engineering","score_opus":0.010112354987311932,"score_gpt":0.2564032763503739,"score_spread":0.24629092136306197,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385491846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99541587,0.00005286347,0.00021506494,0.0025260397,0.00080435496,0.0003113641,0.000005427692,0.000040455594,0.0006285773],"genre_scores_gemma":[0.99757683,0.000022056069,0.00012365196,0.000039701496,0.00036269915,0.000014964834,0.000014129681,0.000025186948,0.0018207983],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9972016,0.0003801766,0.00072993414,0.00037391105,0.0010279458,0.00028639898],"domain_scores_gemma":[0.9985436,0.000022330069,0.0007760844,0.0004428728,0.000087492364,0.00012759554],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001758767,0.00018617771,0.00030627253,0.00014468608,0.00025606324,0.000037580296,0.00023067831,0.00008702367,0.00010755937],"category_scores_gemma":[0.00036662284,0.00013223603,0.00014289915,0.0008561982,0.00023174807,0.00058379385,0.00007162549,0.00017241311,0.000005214792],"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":[0.00016861626,0.00037650336,0.048370507,0.00012739177,0.00006471573,0.000005141908,0.00041811922,0.5833678,0.34057242,0.0000049899395,0.025569841,0.0009539673],"study_design_scores_gemma":[0.0011258606,0.00083525263,0.22745824,0.00013957612,0.00023222007,0.000083602485,0.002777375,0.029387206,0.73178494,0.0002733102,0.0054071643,0.0004952383],"about_ca_topic_score_codex":0.00026394383,"about_ca_topic_score_gemma":0.00007355475,"teacher_disagreement_score":0.5539806,"about_ca_system_score_codex":0.0008689948,"about_ca_system_score_gemma":0.0001245884,"threshold_uncertainty_score":0.5392429},"labels":[],"label_agreement":null},{"id":"W4385637082","doi":"10.1016/j.jclepro.2023.138363","title":"Unveiling environmental implications of Canadian electricity system's low-carbon transitions: A multi-regional stochastic optimization-driven input-output model","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":13,"is_retracted":false,"has_abstract":false,"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; Mitacs; Canada Research Chairs","keywords":"Greenhouse gas; Electricity; Carbon tax; Electricity generation; Natural resource economics; Environmental economics; Economics; Production (economics); Input–output model; Environmental science; Business; Power (physics); Microeconomics; Engineering; Macroeconomics; Ecology","score_opus":0.020378531943534044,"score_gpt":0.23102916299529053,"score_spread":0.2106506310517565,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385637082","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746597,0.000030232648,0.023293715,0.0013159913,0.0001160386,0.00037529366,0.000020199932,0.000025412106,0.00016344053],"genre_scores_gemma":[0.9969366,0.000052483752,0.0026108015,0.00003875423,0.00009242324,0.000011359145,0.000024033934,0.000021958782,0.00021158792],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841243,0.00008375075,0.00056022685,0.00025007647,0.00039126462,0.0003022613],"domain_scores_gemma":[0.9991609,0.000020304076,0.00032797776,0.0002355217,0.000025504552,0.000229797],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00047093708,0.00015452839,0.00021983117,0.00045023515,0.00019714276,0.000014994384,0.0001804753,0.00008766389,0.00006568916],"category_scores_gemma":[0.00006958487,0.00014947329,0.00012311134,0.0006617242,0.00019704022,0.00038573166,0.00003185432,0.00022224174,0.000016183487],"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":[0.000032137337,0.00016167913,0.005020258,0.00002323199,0.000022827795,0.0000027710175,0.0007628261,0.9808318,0.012127566,0.00000864293,0.00023114333,0.000775091],"study_design_scores_gemma":[0.000535228,0.0001347246,0.07463965,0.000050507217,0.000091434646,0.00013736784,0.0019908112,0.9206778,0.0013507664,0.00009138113,0.00007005724,0.00023031884],"about_ca_topic_score_codex":0.0013746765,"about_ca_topic_score_gemma":0.0008368354,"teacher_disagreement_score":0.069619395,"about_ca_system_score_codex":0.0013066994,"about_ca_system_score_gemma":0.00009202288,"threshold_uncertainty_score":0.6095343},"labels":[],"label_agreement":null},{"id":"W4385644397","doi":"10.48550/arxiv.2308.02325","title":"Tracing two decades of carbon emissions using a network approach","year":2023,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"European Commission; Scuola IMT Alti Studi Lucca","keywords":"Tracing; Consumption (sociology); Greenhouse gas; TRACE (psycholinguistics); Natural resource economics; Emissions trading; Carbon fibers; Environmental economics; Carbon accounting; Business; Environmental science; Economics; Accounting; Computer science; Ecology; Biology","score_opus":0.09971783095307228,"score_gpt":0.2213234214062683,"score_spread":0.12160559045319601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385644397","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98332834,0.00002608959,0.009022353,0.000009357957,0.00012631546,0.00036453974,0.000011770484,0.00008097529,0.007030249],"genre_scores_gemma":[0.9970856,0.000033948305,0.0013767871,0.000011733416,0.00004961281,8.395204e-7,0.000013900191,0.000033617376,0.0013940166],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99819547,0.00016192635,0.00024776533,0.0007886233,0.00013510072,0.0004710868],"domain_scores_gemma":[0.99877536,0.00006976949,0.00023410768,0.0006994313,0.0000075006346,0.00021380995],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00039993206,0.0002901099,0.00036489795,0.00007201036,0.00016554631,0.000017785878,0.0005258768,0.00024699207,0.00014778342],"category_scores_gemma":[0.000039782142,0.00031895196,0.0002169672,0.0005508166,0.00042073705,0.00012504657,0.0018757308,0.0005030284,0.0000144342475],"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":[0.000021484935,0.00008128138,0.25904727,0.00005583872,0.000028440407,0.000033990564,0.00025877648,0.7399684,0.00027700278,0.00013618918,0.000026776332,0.00006453528],"study_design_scores_gemma":[0.0005582615,0.00004758408,0.08792897,0.00015074621,0.0002810646,0.000005464336,0.0017016381,0.8849813,0.00057466223,0.022995465,0.00005094332,0.00072395115],"about_ca_topic_score_codex":0.0034280699,"about_ca_topic_score_gemma":0.00010009096,"teacher_disagreement_score":0.17111829,"about_ca_system_score_codex":0.00084010395,"about_ca_system_score_gemma":0.00004372735,"threshold_uncertainty_score":0.99992627},"labels":[],"label_agreement":null},{"id":"W4385717773","doi":"10.1007/978-3-031-30960-1","title":"Energy and Sustainable Futures: Proceedings of the 3rd ICESF, 2022","year":2023,"lang":"en","type":"book","venue":"Springer proceedings in energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Petroleum Technology Development Fund; Engineering and Physical Sciences Research Council; Commonwealth Scholarship Commission; University of Hertfordshire; European Regional Development Fund; European Commission; Royal Society of Chemistry; Trent University; Daphne Jackson Trust; Universidad de Sevilla; Nottingham Trent University; De Montfort University; Schlumberger Foundation","keywords":"Futures contract; Sustainable energy; Energy (signal processing); Environmental science; Computer science; Environmental economics; Engineering; Business; Economics; Financial economics; Renewable energy; Electrical engineering; Physics","score_opus":0.004218957349435645,"score_gpt":0.19106674685018424,"score_spread":0.1868477895007486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385717773","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.20249379,0.0006737187,0.0000036857766,0.00032528475,0.00027757726,0.0004921417,0.000009978272,0.0001249002,0.7955989],"genre_scores_gemma":[0.13670132,0.0009810928,0.000069117676,0.00027091874,0.00018961861,0.00012976634,0.000004520006,0.00013266766,0.861521],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.99663013,0.000009763543,0.0006037088,0.00093701103,0.0008353756,0.0009840307],"domain_scores_gemma":[0.9990231,0.000044347307,0.00046784995,0.00023534615,0.00004621971,0.00018313038],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006881832,0.00056566345,0.00057899253,0.00020810409,0.0002776182,0.00009780005,0.0008886001,0.0005274217,0.00032332304],"category_scores_gemma":[0.00010773113,0.00046045505,0.00018349841,0.0006280714,0.00086654094,0.0005018765,0.0027529993,0.00047477538,0.000007248981],"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":[0.00030364073,0.0005868678,0.20121719,0.0032833042,0.00022227742,0.00006981731,0.0066554993,0.00022063706,0.008636689,0.53203887,0.22169644,0.025068766],"study_design_scores_gemma":[0.00063095626,0.0002082977,0.040089037,0.00032001015,0.00008831138,0.000018724098,0.00494097,0.00015645864,0.004273312,0.10747893,0.84068316,0.0011118496],"about_ca_topic_score_codex":0.0015217016,"about_ca_topic_score_gemma":0.00039647982,"teacher_disagreement_score":0.6189867,"about_ca_system_score_codex":0.001612528,"about_ca_system_score_gemma":0.000077093784,"threshold_uncertainty_score":0.9997847},"labels":[],"label_agreement":null},{"id":"W4385753198","doi":"10.1016/j.enpol.2023.113765","title":"Effects of government policy, socioeconomics, and weather on residential GHG emissions across subnational jurisdictions: The case of Canada","year":2023,"lang":"en","type":"article","venue":"Energy Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Government (linguistics); Geography; Business; Natural resource economics; Consumption (sociology); Economics","score_opus":0.0032430552386223804,"score_gpt":0.24225827727677382,"score_spread":0.23901522203815145,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4385753198","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99324745,0.000015212459,0.000005353984,0.0035960216,0.00004079014,0.000080824764,0.00011119786,0.000007031453,0.0028961378],"genre_scores_gemma":[0.99437845,0.000056541478,0.000008377041,0.00040164927,0.000078990335,0.000015955453,0.0000029282223,0.000009554905,0.0050475528],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991733,0.00006308668,0.00017379006,0.00014954245,0.0002042254,0.00023607118],"domain_scores_gemma":[0.9994247,0.00020594064,0.0000836939,0.00018285768,0.0000023547452,0.0001004502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001650471,0.000094714254,0.000104340244,0.000019850188,0.0002374465,0.000008368997,0.00010780876,0.0000419601,0.000114232906],"category_scores_gemma":[0.00014496449,0.000072997864,0.000043211814,0.00015536656,0.0003195539,0.00005871712,0.00021591024,0.000056944013,0.000003399769],"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":[0.00058109453,0.0020205844,0.27590382,0.00043952197,0.00073061365,0.0009332701,0.045229744,0.09647125,0.055420164,0.2548079,0.19222389,0.07523818],"study_design_scores_gemma":[0.000742601,0.00013339763,0.9328031,0.000014353225,0.000019532037,0.00005149949,0.002508428,0.000980488,0.03725884,0.007160996,0.018099286,0.00022745931],"about_ca_topic_score_codex":0.74289393,"about_ca_topic_score_gemma":0.2700205,"teacher_disagreement_score":0.65689933,"about_ca_system_score_codex":0.0009605755,"about_ca_system_score_gemma":0.00011352286,"threshold_uncertainty_score":0.7432997},"labels":[],"label_agreement":null},{"id":"W4386167641","doi":"10.1007/s13399-023-04713-9","title":"An enviro-economic RAM-based optimization of biomass-driven combined heat and power generation","year":2023,"lang":"en","type":"article","venue":"Biomass Conversion and Biorefinery","topic":"Environmental Impact and Sustainability","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":"Concordia University","funders":"University College Dublin","keywords":"Maintainability; Reliability engineering; Reliability (semiconductor); Mean time between failures; Biomass (ecology); Process engineering; Electricity generation; Function (biology); Energy (signal processing); Power (physics); Engineering; Computer science; Failure rate; Mathematics; Statistics","score_opus":0.011217279684222405,"score_gpt":0.22456968689487636,"score_spread":0.21335240721065396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386167641","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99888885,0.000019189029,0.00023179129,0.00037787866,0.00008823259,0.00018871707,0.000027844177,0.00004832375,0.00012918968],"genre_scores_gemma":[0.99909097,0.00004468873,0.00047412032,0.00011226973,0.000011579569,0.00000516757,0.00016927753,0.000011356928,0.00008057227],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999107,0.0000664242,0.00019697033,0.0003187665,0.00013150196,0.00017934681],"domain_scores_gemma":[0.9995696,0.000024416255,0.000057326222,0.00020171699,0.0000030032636,0.00014395654],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018798094,0.00014295726,0.00015139222,0.00009259441,0.00012167068,0.000028262592,0.00007794186,0.00010732406,0.0006651843],"category_scores_gemma":[0.000007737247,0.00012565566,0.000038298906,0.00014045276,0.000375399,0.0002485157,0.00010579262,0.000033733602,0.000036104557],"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":[0.00009230818,0.00011306417,0.33247328,0.000026947931,0.00000928864,0.0000052774385,0.00010512284,0.004774309,0.6609373,0.000024531764,0.00080214423,0.0006364367],"study_design_scores_gemma":[0.0019792474,0.0007571156,0.41115147,0.000008743677,0.00002905056,0.000003278936,0.0003206474,0.48692536,0.09715374,0.000021703085,0.0012724842,0.00037715991],"about_ca_topic_score_codex":0.00029751254,"about_ca_topic_score_gemma":0.000014565771,"teacher_disagreement_score":0.5637836,"about_ca_system_score_codex":0.00011283383,"about_ca_system_score_gemma":0.000009969174,"threshold_uncertainty_score":0.72833014},"labels":[],"label_agreement":null},{"id":"W4386421015","doi":"10.3389/fenvs.2023.1279567","title":"Editorial: Socioeconomic transition and environmental footprints","year":2023,"lang":"en","type":"editorial","venue":"Frontiers in Environmental Science","topic":"Environmental Impact and Sustainability","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":"Dalhousie University","funders":"","keywords":"Socioeconomic status; Environmental science; Environmental resource management; Environmental planning; Sociology; Demography","score_opus":0.002536361815012365,"score_gpt":0.20618372166145002,"score_spread":0.20364735984643764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386421015","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.15240663,0.00014138616,0.00006367558,0.000064211345,0.84552103,0.0007418412,0.00041090758,0.00008717179,0.0005631301],"genre_scores_gemma":[0.20758973,0.0038457012,0.0015533345,0.00011363953,0.78360987,0.0002622615,0.00078419776,0.00028694,0.001954351],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99316895,0.00015828625,0.00076255825,0.00211345,0.002296466,0.001500279],"domain_scores_gemma":[0.9980823,0.00020807696,0.00029058137,0.00082778855,0.0000017133518,0.00058957475],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020196193,0.0008023554,0.00073794054,0.000312264,0.00056796166,0.00017352079,0.0012119352,0.0009658326,0.0008714344],"category_scores_gemma":[0.0001805096,0.00087705185,0.00017790511,0.00032386606,0.006180348,0.0012021606,0.0014594087,0.0013378452,0.0008475861],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006420737,0.00023645376,0.029571474,0.00002660607,0.000015790158,0.000020742977,0.00098697,0.00033280172,0.0018770687,6.1600895e-7,0.96116024,0.005707047],"study_design_scores_gemma":[0.0015189344,0.0002828903,0.062388044,0.000046007222,0.00007068444,0.000003938601,0.0035393739,0.0013887015,0.00034726202,0.0012699296,0.9274948,0.0016494081],"about_ca_topic_score_codex":0.0003928498,"about_ca_topic_score_gemma":0.000054261698,"teacher_disagreement_score":0.061911203,"about_ca_system_score_codex":0.007887744,"about_ca_system_score_gemma":0.000085378524,"threshold_uncertainty_score":0.9999304},"labels":[],"label_agreement":null},{"id":"W4386432696","doi":"10.1007/978-981-19-9822-5_117","title":"Modelling the Temporal Carbon Footprint of Electricity in Quebec and Its Application to the Evaluation of the Impact of Dual-Energy Heating Systems","year":2023,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Electrification; Carbon footprint; Electricity; Environmental science; Footprint; Dual (grammatical number); Environmental economics; Ecological footprint; Engineering; Greenhouse gas; Sustainability; Electrical engineering; Geography; Geology; Economics","score_opus":0.013863655884503731,"score_gpt":0.22512503723317331,"score_spread":0.2112613813486696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386432696","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9975136,0.0003098196,0.00012956402,0.000029733857,0.000031461455,0.0006905395,0.000009070754,0.000004545139,0.001281698],"genre_scores_gemma":[0.9993533,0.0000801897,0.000010077383,0.0000023197051,0.000011855406,0.000031613,0.0000015200421,0.000014440684,0.0004946929],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982463,0.0000341966,0.00034163604,0.00028752297,0.00087541045,0.00021490574],"domain_scores_gemma":[0.9993959,0.00005730808,0.00018053652,0.00030086207,0.0000064251412,0.000058987207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017254759,0.00017759069,0.00020308833,0.000064280925,0.000098381825,0.000013911435,0.00025624386,0.000068219146,0.0000057000707],"category_scores_gemma":[0.00003749319,0.00010328884,0.000054294625,0.00020355759,0.00037100323,0.00007767538,0.00040303936,0.00014982466,5.2978146e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000003711816,0.000013728872,0.0056229075,0.000017348093,0.000007095966,1.1279126e-7,0.000562844,0.9634959,0.02719811,0.00038085415,3.987119e-7,0.0026969688],"study_design_scores_gemma":[0.00009150009,0.00006217555,0.104122974,0.00005686238,0.000024644105,0.0000023398923,0.00023195497,0.89148676,0.0035988707,0.0001707129,0.000024988629,0.00012620432],"about_ca_topic_score_codex":0.034069885,"about_ca_topic_score_gemma":0.0004512838,"teacher_disagreement_score":0.098500066,"about_ca_system_score_codex":0.00095720263,"about_ca_system_score_gemma":0.000033275086,"threshold_uncertainty_score":0.97236234},"labels":[],"label_agreement":null},{"id":"W4386503698","doi":"10.1016/j.biombioe.2023.106934","title":"Exploring plausible contributions of end-use harvested wood products to store atmospheric carbon in China","year":2023,"lang":"en","type":"article","venue":"Biomass and Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Center for African Studies; National Natural Science Foundation of China","keywords":"Greenhouse gas; Carbon sink; Carbon fibers; Environmental science; Carbon accounting; Futures contract; Carbon sequestration; Climate change; Atmospheric carbon cycle; Carbon dioxide; Natural resource economics; Ecology; Business; Economics","score_opus":0.031857900522728744,"score_gpt":0.2372723045460774,"score_spread":0.20541440402334865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386503698","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9989826,0.000028942515,0.0000053272784,0.0004967706,0.00006614347,0.0001932597,0.000024889776,0.00003692693,0.00016511502],"genre_scores_gemma":[0.9991297,0.00005544856,0.00023096913,0.000018353749,0.00001669771,0.00004421379,0.0000157215,0.000009731436,0.00047913802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99899346,0.00004388483,0.00018374217,0.0002923831,0.00016862625,0.00031793574],"domain_scores_gemma":[0.9996324,0.000019820194,0.000040066174,0.00017831127,0.0000048670204,0.00012451221],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018370204,0.00012401646,0.00015716346,0.000027972063,0.00006052357,0.000020166784,0.00008963114,0.000043566964,0.000052703595],"category_scores_gemma":[0.00008494769,0.0001064058,0.000024468829,0.00092427636,0.00013088659,0.0002522643,0.00022721048,0.000044224158,0.000007623528],"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":[0.000039731258,0.0001405013,0.66356355,0.000025170628,0.000008521313,0.000015356913,0.0005166487,0.00050455856,0.3316743,0.00015652039,0.0000924859,0.0032626383],"study_design_scores_gemma":[0.00024177512,0.00013648684,0.92760926,0.00001119124,0.000004530608,0.0000015125397,0.00025534222,0.0003338319,0.06809671,0.000032632128,0.0031487488,0.00012798962],"about_ca_topic_score_codex":0.0113651,"about_ca_topic_score_gemma":0.0015429314,"teacher_disagreement_score":0.2640457,"about_ca_system_score_codex":0.00021634562,"about_ca_system_score_gemma":0.0000115961475,"threshold_uncertainty_score":0.9952183},"labels":[],"label_agreement":null},{"id":"W4386854360","doi":"10.1149/ma2023-01221575mtgabs","title":"Integrating Sustainable Design into Advanced Electrochemical Manufacturing","year":2023,"lang":"en","type":"article","venue":"ECS Meeting Abstracts","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Cognitive reframing; Scope (computer science); Sustainable design; Engineering; Computer science; Risk analysis (engineering); Systems engineering; Business; Sustainability","score_opus":0.00824264750530476,"score_gpt":0.2400807904606025,"score_spread":0.23183814295529773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386854360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9203728,0.000017251228,0.00011384546,0.00020886412,0.00004885124,0.00030349728,2.6750553e-7,0.0002858773,0.07864874],"genre_scores_gemma":[0.98914176,0.0000094416655,0.007996428,0.00008936335,0.00004273716,0.000034915713,0.000009400098,0.000034578272,0.0026413521],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99781674,0.0000812829,0.0003399221,0.00045746763,0.00036983966,0.0009347731],"domain_scores_gemma":[0.9991068,0.0002609843,0.00011931565,0.00029325832,0.000006880707,0.00021275198],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011839787,0.00023695805,0.00018251255,0.000055048047,0.00039657147,0.000076126984,0.00028544263,0.000106923486,0.00021083825],"category_scores_gemma":[0.0008354927,0.00022548366,0.000071400485,0.00029498906,0.00014584213,0.00040055445,0.0003378645,0.00035034987,0.0007249322],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000065413726,0.000099981946,0.008574341,0.000074168616,0.000012654763,0.0001264338,0.0021177179,0.13318126,0.8493979,0.000009913742,0.0020147404,0.0043254863],"study_design_scores_gemma":[0.00025369812,0.00008689151,0.042016447,0.000026554737,0.000008880614,0.000008421869,0.003971624,0.0013355542,0.9432988,0.004401225,0.004254387,0.00033749474],"about_ca_topic_score_codex":0.00050075515,"about_ca_topic_score_gemma":0.000013387434,"teacher_disagreement_score":0.1318457,"about_ca_system_score_codex":0.00081100897,"about_ca_system_score_gemma":0.000019979092,"threshold_uncertainty_score":0.93177783},"labels":[],"label_agreement":null},{"id":"W4386888490","doi":"10.5751/es-14351-280319","title":"Transboundary flows in the metacoupled Anthropocene: typology, methods, and governance for global sustainability","year":2023,"lang":"en","type":"article","venue":"Ecology and Society","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":32,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"College of Engineering, Michigan State University; Michigan State University; Norges Teknisk-Naturvitenskapelige Universitet; National Science Foundation","keywords":"Typology; Sustainability; Anthropocene; Corporate governance; Resilience (materials science); Portfolio; Environmental resource management; Earth system science; Mode (computer interface); Business; Environmental planning; Environmental science; Computer science; Geography; Geology; Ecology","score_opus":0.00961126934182981,"score_gpt":0.32757629142273414,"score_spread":0.3179650220809043,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386888490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9928584,0.00018349162,0.0004006581,0.0053108204,0.00007964857,0.0006105625,0.000022411774,0.00002406596,0.00050993194],"genre_scores_gemma":[0.9955656,0.00041599202,0.002960407,0.0008292653,0.000013792243,0.000092898765,0.0000068148033,0.0000048176476,0.00011042657],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987863,0.00026536954,0.0001606495,0.0003299107,0.00007487366,0.0003829258],"domain_scores_gemma":[0.9993458,0.000400228,0.000034882385,0.00016309609,0.000004468832,0.00005154729],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020724623,0.00012123711,0.00019223471,0.000003564456,0.00038565672,0.00001711186,0.00013424907,0.0001622354,0.00013036474],"category_scores_gemma":[0.00018693357,0.00008970587,0.00008729092,0.00021199216,0.0013748254,0.0001320227,0.00012386173,0.00014642761,0.0000034217946],"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":[0.000046094105,0.000118300064,0.98163253,0.000057192836,0.000023482628,0.0000056893305,0.0037645488,0.00009639145,0.00009729447,0.0023437631,0.0024278017,0.009386905],"study_design_scores_gemma":[0.00048690868,0.00011000489,0.94385284,5.5314297e-7,0.000018813324,0.000006783915,0.008192654,0.00190865,0.000014031011,0.040778935,0.0045338008,0.0000960465],"about_ca_topic_score_codex":0.00022634094,"about_ca_topic_score_gemma":0.00061802415,"teacher_disagreement_score":0.038435172,"about_ca_system_score_codex":0.00032218685,"about_ca_system_score_gemma":0.000028709701,"threshold_uncertainty_score":0.5065601},"labels":[],"label_agreement":null},{"id":"W4386895186","doi":"10.21203/rs.3.rs-3354451/v1","title":"Tracing two decades of carbon emissions using a network approach","year":2023,"lang":"en","type":"preprint","venue":"Research Square","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"European Commission; Scuola IMT Alti Studi Lucca","keywords":"Tracing; Consumption (sociology); Greenhouse gas; TRACE (psycholinguistics); Natural resource economics; Carbon fibers; Emissions trading; Environmental economics; Business; Carbon accounting; Carbon credit; Economics; Computer science; Ecology","score_opus":0.12967956705756617,"score_gpt":0.42531163263155636,"score_spread":0.2956320655739902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386895186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98773813,0.00028832402,0.0004412585,0.000079974314,0.00008870037,0.0011453673,0.000028363269,0.00006654931,0.01012331],"genre_scores_gemma":[0.9948926,0.000072335286,0.003756805,0.0000053271815,0.0001504694,0.00008106719,0.000036994752,0.000060684095,0.00094374164],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9954937,0.0007258964,0.00043958848,0.0007864837,0.0014979405,0.0010563545],"domain_scores_gemma":[0.9982512,0.0002847727,0.00012996445,0.000959642,0.00002628678,0.00034812264],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.003197004,0.00027692853,0.00041949714,0.0001436644,0.00032808445,0.00006317127,0.00065293536,0.00031429474,0.00032751804],"category_scores_gemma":[0.00040484947,0.000253206,0.00020452551,0.00080662686,0.0007721078,0.00008989397,0.004046178,0.001572152,0.000025744477],"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":[0.00004805783,0.00028821427,0.50191075,0.0008607149,0.0000391459,0.000030193969,0.002018059,0.49032456,0.0023176337,0.000044941775,0.000405653,0.0017121007],"study_design_scores_gemma":[0.00096780184,0.0003260042,0.61398613,0.0019214046,0.00010360978,0.000017905713,0.011772605,0.3312947,0.0046807267,0.032811865,0.0007066521,0.0014106132],"about_ca_topic_score_codex":0.008084954,"about_ca_topic_score_gemma":0.00013189799,"teacher_disagreement_score":0.15902987,"about_ca_system_score_codex":0.0014354476,"about_ca_system_score_gemma":0.0001213397,"threshold_uncertainty_score":0.999992},"labels":[],"label_agreement":null},{"id":"W4386969367","doi":"10.1016/j.jclepro.2023.138868","title":"Comparative life cycle assessment and techno-economic analysis of electric arc furnace steelmaking processes integrated with solar energy system","year":2023,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Hunan Province; Simon Fraser University; Inner Mongolia University; National Natural Science Foundation of China; Division of Social and Economic Sciences; European Commission; Saint Mary’s University; Shantou University","keywords":"Steelmaking; Electric arc furnace; Engineering; Scrap; Waste management; Life-cycle assessment; Carbon footprint; Electricity generation; Electricity; Environmental science; Production (economics); Metallurgy; Greenhouse gas; Mechanical engineering; Electrical engineering; Materials science; Power (physics)","score_opus":0.009908811398335937,"score_gpt":0.2594861578234635,"score_spread":0.24957734642512758,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386969367","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99818695,0.00006735718,0.0010198394,0.00017810959,0.000049204533,0.00011169106,0.0000020562118,0.000024324243,0.00036047905],"genre_scores_gemma":[0.9993618,0.00009316973,0.00032264393,0.000007984909,0.000041191975,0.0000042356214,0.0000032645844,0.000009008974,0.00015669502],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987932,0.00009353781,0.00042352255,0.00021382084,0.00030276546,0.00017319561],"domain_scores_gemma":[0.9991085,0.000035999292,0.0005750427,0.0001523851,0.000042038457,0.00008602147],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066060666,0.00012842273,0.00039431802,0.00031389645,0.00009777798,0.000028455059,0.000112653506,0.00004159598,0.000042571563],"category_scores_gemma":[0.000038066177,0.0000929758,0.000058064295,0.0011827486,0.0001387042,0.0004695017,0.00004955877,0.00016097317,0.0000021031467],"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":[0.00025399157,0.00017288452,0.2480792,0.00011971806,0.0006717444,0.000011465621,0.0011441276,0.72744745,0.016067976,0.000044556306,0.00016315571,0.005823712],"study_design_scores_gemma":[0.0005297711,0.00095323473,0.86180854,0.00009189817,0.00097438967,0.00012936893,0.018734772,0.07633149,0.039205123,0.00008665507,0.00085792533,0.00029683425],"about_ca_topic_score_codex":0.00025191068,"about_ca_topic_score_gemma":0.00014748867,"teacher_disagreement_score":0.651116,"about_ca_system_score_codex":0.0007198334,"about_ca_system_score_gemma":0.00007618565,"threshold_uncertainty_score":0.3791443},"labels":[],"label_agreement":null},{"id":"W4386969539","doi":"10.1016/j.enbuild.2023.113573","title":"Carbon impacts of the energy code for Canadian housing","year":2023,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Greenhouse gas; Electricity; Carbon fibers; Environmental science; Embodied energy; Natural gas; Environmental economics; Natural resource economics; Electricity generation; Waste management; Engineering; Computer science; Ecology; Power (physics); Economics","score_opus":0.006736303920244204,"score_gpt":0.21185616063100243,"score_spread":0.20511985671075822,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4386969539","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971946,0.00003629742,0.000033266468,0.0004771821,0.00006592997,0.000046311925,0.000013442304,0.000014689292,0.0021183172],"genre_scores_gemma":[0.99860907,0.000039709277,0.000060968487,0.0003350966,0.00001982107,0.000007782231,0.0000030531057,0.0000102736485,0.0009142376],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99933785,0.000019138979,0.00009857756,0.00015215453,0.000104658604,0.00028760673],"domain_scores_gemma":[0.99964833,0.00003457795,0.000038310765,0.000143291,0.0000025259314,0.00013295884],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001532402,0.00008363143,0.000087008084,0.00002989474,0.0001801454,0.000011723761,0.00011997433,0.000055428773,0.000043180542],"category_scores_gemma":[0.00003889306,0.000061009112,0.00004433519,0.00020613997,0.00018871696,0.00006629627,0.00010988297,0.000028317447,4.5850206e-7],"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":[0.000057720834,0.000060472954,0.82793653,0.000045349276,0.00003789219,0.00000925723,0.0015112732,0.0038793746,0.118479274,0.009491007,0.0067063295,0.03178554],"study_design_scores_gemma":[0.0006738225,0.00016467561,0.5231725,0.00003739631,0.00004070947,0.000008834168,0.00070572883,0.006035407,0.19451922,0.012391236,0.261786,0.00046444076],"about_ca_topic_score_codex":0.21842381,"about_ca_topic_score_gemma":0.19741409,"teacher_disagreement_score":0.30476397,"about_ca_system_score_codex":0.0001699249,"about_ca_system_score_gemma":0.000020265119,"threshold_uncertainty_score":0.817231},"labels":[],"label_agreement":null},{"id":"W4387109664","doi":"10.2139/ssrn.4585109","title":"Assessing Greenhouse Gas Emissions in Cuban Agricultural Soils: Implications for Climate Change and Rice (Oryza Sativa, L.) Production","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Greenhouse gas; Oryza sativa; Environmental science; Climate change; Agriculture; Soil water; Production (economics); Greenhouse; Agronomy; Geography; Soil science; Economics; Chemistry; Ecology; Biology","score_opus":0.042541515339975154,"score_gpt":0.312805507262018,"score_spread":0.27026399192204287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387109664","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99052364,0.00048274387,0.0004743104,0.0069134887,0.00019600273,0.0011208967,0.00002047545,0.000066127555,0.00020230708],"genre_scores_gemma":[0.99014854,0.00841659,0.00030809577,0.00003493234,0.00029393335,0.00027540894,0.000043176988,0.000045052704,0.00043424751],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9965031,0.00015648577,0.00044657558,0.0006321556,0.00022614023,0.0020355252],"domain_scores_gemma":[0.999087,0.00006891785,0.00033314622,0.0003206556,0.000015372783,0.00017492755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0019202135,0.00031865426,0.0002956758,0.00010470652,0.0005817036,0.00018373984,0.00029920638,0.0002151941,0.000017417076],"category_scores_gemma":[0.00019705555,0.0002626006,0.00013796473,0.00024500868,0.00015907324,0.00075582106,0.0005967823,0.002056055,0.0000135986675],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00010468506,0.00080938305,0.8670602,0.00035547363,0.00013920157,0.000004482994,0.0045426725,0.0024080353,0.012328486,0.0016735456,0.00047992132,0.110093944],"study_design_scores_gemma":[0.00026961975,0.00010493682,0.8920894,0.00007889293,0.000044436096,0.00011578397,0.0044262614,0.00012355062,0.000054917895,0.10229773,0.00007572888,0.00031873307],"about_ca_topic_score_codex":0.000595422,"about_ca_topic_score_gemma":0.0043579526,"teacher_disagreement_score":0.10977521,"about_ca_system_score_codex":0.00426978,"about_ca_system_score_gemma":0.00019447714,"threshold_uncertainty_score":0.9999826},"labels":[],"label_agreement":null},{"id":"W4387364534","doi":"10.1021/acs.est.3c01860","title":"Remarkable Spatial Disparity of Life Cycle Inventory for Coal Production in China","year":2023,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"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; Polytechnique Montréal","funders":"National Natural Science Foundation of China","keywords":"Coal; Environmental science; Production (economics); China; Coal mining; Life-cycle assessment; Natural resource economics; Geography; Waste management; Economics; Engineering","score_opus":0.006147636624802605,"score_gpt":0.23208126048950165,"score_spread":0.22593362386469903,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387364534","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970079,0.000023725352,0.00014975737,0.00089256506,0.00019062829,0.0008015769,0.000014572754,0.00009961171,0.000819652],"genre_scores_gemma":[0.99904704,0.000041463878,0.00032890958,0.000033954133,0.000020477399,0.00011839473,0.000012006814,0.000015974412,0.0003817828],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976107,0.000038376285,0.0003866721,0.0007214433,0.0005078847,0.0007349069],"domain_scores_gemma":[0.9991595,0.000020157031,0.00014315579,0.0005240875,0.0000016745878,0.00015141479],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011619692,0.00018991102,0.00025551743,0.00036982092,0.0002836786,0.000011919863,0.00060347613,0.00014963666,0.0005093929],"category_scores_gemma":[0.00034683594,0.00018829085,0.000065857115,0.0014232901,0.0040286267,0.0004990749,0.0008003865,0.0002035951,0.0001411984],"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":[0.000046149442,0.00031838895,0.9040889,0.00001416107,0.0000025926286,0.000002601275,0.0002598743,0.005536151,0.08260758,0.000055949753,0.00015930974,0.0069083543],"study_design_scores_gemma":[0.0004154521,0.00021330688,0.95057404,0.000007453178,0.0000054507063,0.0000038190333,0.00077537965,0.0046493714,0.03784532,0.0045272294,0.0007730516,0.00021012384],"about_ca_topic_score_codex":0.0005391509,"about_ca_topic_score_gemma":0.00027337123,"teacher_disagreement_score":0.046485156,"about_ca_system_score_codex":0.0010703806,"about_ca_system_score_gemma":0.000033676017,"threshold_uncertainty_score":0.99868184},"labels":[],"label_agreement":null},{"id":"W4387369226","doi":"10.1016/j.scitotenv.2023.167549","title":"Crop water footprints and their driving mechanisms show regional differences","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Water use; Environmental science; Agriculture; Irrigation; Virtual water; China; Water resources; Farm water; Per capita; Crop; Sustainability; Agroforestry; Geography; Water resource management; Water conservation; Water scarcity; Forestry; Agronomy; Population; Ecology; Biology","score_opus":0.013865163381355222,"score_gpt":0.208513678365186,"score_spread":0.1946485149838308,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387369226","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99592954,0.000009999749,0.00005908146,0.0026126842,0.000102638805,0.000324583,0.00000278265,0.000022840253,0.00093583384],"genre_scores_gemma":[0.9969463,0.000033952278,0.00009018389,0.000044910856,0.000011947603,0.000018918856,5.7519094e-7,0.000010243189,0.0028429828],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99800885,0.00007498339,0.00020945093,0.00041876172,0.0007413203,0.0005466422],"domain_scores_gemma":[0.99905854,0.000057446217,0.00007657403,0.0006787264,0.000002012196,0.00012669987],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0011994016,0.00019496167,0.00015607993,0.000032000073,0.00076532684,0.000048318252,0.0009229989,0.000039328188,0.0007194003],"category_scores_gemma":[0.000030395004,0.00008317629,0.00009031861,0.00024207357,0.0044519473,0.00023751012,0.0025722878,0.0001458482,0.00018566278],"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":[0.000017414284,0.0001191789,0.008510719,0.000009541211,0.000016152911,0.00000146245,0.004974316,0.014550639,0.96664613,0.00080752117,0.000084383,0.0042625577],"study_design_scores_gemma":[0.00014105532,0.000083651874,0.8140904,0.000010264473,0.000011677437,0.000016138596,0.0017425028,0.0042691603,0.1523724,0.026979672,0.00009404692,0.00018905633],"about_ca_topic_score_codex":0.000095618605,"about_ca_topic_score_gemma":0.0000026780845,"teacher_disagreement_score":0.8142737,"about_ca_system_score_codex":0.00023682945,"about_ca_system_score_gemma":0.000007976864,"threshold_uncertainty_score":0.99825734},"labels":[],"label_agreement":null},{"id":"W4387384920","doi":"10.1504/ijesd.2023.133827","title":"Highly cited articles in life cycle assessment research in 21st century: a systematic and visualised analysis","year":2023,"lang":"en","type":"article","venue":"International Journal of Environment and Sustainable Development","topic":"Environmental Impact and Sustainability","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 Waterloo","funders":"","keywords":"Systematic review; Life-cycle assessment; Political science; MEDLINE; Economics","score_opus":0.01931167228972412,"score_gpt":0.31752192401630946,"score_spread":0.29821025172658533,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387384920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979064,0.00024565254,0.00006358916,0.00087440823,0.000040000126,0.00040707414,0.0000013670035,0.000007208965,0.0004543106],"genre_scores_gemma":[0.9980611,0.00094083283,0.0005113905,0.000089056775,0.000014441766,0.00004182451,0.000008325431,0.000011623122,0.0003214045],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967288,0.0003545295,0.0008479025,0.0003024674,0.0012014649,0.00056486216],"domain_scores_gemma":[0.99917924,0.0002199484,0.00020158621,0.00014018427,0.000027582464,0.0002314337],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004420458,0.00017374512,0.00039086083,0.0012541821,0.00012031324,0.00012321216,0.00028780545,0.000071043236,0.00028807356],"category_scores_gemma":[0.0001604048,0.0001516036,0.000060505077,0.0010877759,0.00021585077,0.00045299204,0.0006654887,0.0002771077,0.000017774342],"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":[0.00014048861,0.00056787464,0.9731613,0.00038950078,0.0003293747,0.0010029527,0.0069839745,0.01342442,0.00032459418,0.0006997924,0.00004175188,0.0029340181],"study_design_scores_gemma":[0.0010448587,0.00007693128,0.959423,0.00013600252,0.00003407983,0.000009567576,0.03294151,0.004484658,0.000065704364,0.00094649306,0.00066546455,0.00017173606],"about_ca_topic_score_codex":0.00021556074,"about_ca_topic_score_gemma":0.00005157021,"teacher_disagreement_score":0.025957534,"about_ca_system_score_codex":0.0020087902,"about_ca_system_score_gemma":0.00006581129,"threshold_uncertainty_score":0.6182215},"labels":[],"label_agreement":null},{"id":"W4387542203","doi":"10.1016/j.scitotenv.2023.167611","title":"A life cycle analysis approach to evaluate sustainable strategies in the furniture manufacturing industry","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":47,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Sustainability; Life-cycle assessment; Environmental economics; Resource efficiency; Environmentally friendly; Environmental impact assessment; Photovoltaic system; Sustainable consumption; Production (economics); Resource (disambiguation); Sustainable design; Business; Environmental resource management; Engineering; Environmental science; Computer science","score_opus":0.013529730676464617,"score_gpt":0.2518766197081565,"score_spread":0.23834688903169188,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387542203","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9852076,0.00001337916,0.000033114542,0.0030550172,0.0000336343,0.00085662206,0.0000044431545,0.000018014563,0.010778164],"genre_scores_gemma":[0.9974402,0.0000071958175,0.00007773099,0.00017727709,0.000016527507,0.000082628845,0.0000014527101,0.000010249108,0.0021867303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.996502,0.00029288564,0.00032200332,0.0005021607,0.001551096,0.000829847],"domain_scores_gemma":[0.9983312,0.00007903642,0.00012717741,0.0012638913,0.0000031004658,0.00019557872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0041460064,0.00022610715,0.00022201169,0.00013170062,0.0007156469,0.00013432927,0.0020024267,0.000087079796,0.00041648382],"category_scores_gemma":[0.00016170045,0.00011086444,0.00017251523,0.0024348432,0.0019942361,0.0004787571,0.0018778135,0.0004883277,0.00014214154],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000014148785,0.00013390886,0.00215543,0.000008450138,0.000022065977,0.0000023002378,0.0052203364,0.9898793,0.0020260839,0.00019019448,0.00013816792,0.00020959541],"study_design_scores_gemma":[0.00016436992,0.000055244793,0.9309864,0.0000037048753,0.000103665625,0.0000044451554,0.04925691,0.013986659,0.0025740133,0.002554691,0.000119942335,0.00018993745],"about_ca_topic_score_codex":0.0008442666,"about_ca_topic_score_gemma":0.000007842828,"teacher_disagreement_score":0.97589266,"about_ca_system_score_codex":0.00064295303,"about_ca_system_score_gemma":0.000065766915,"threshold_uncertainty_score":0.7347846},"labels":[],"label_agreement":null},{"id":"W4387580525","doi":"10.1016/j.egycc.2023.100117","title":"State-by-state energy-water-land-health impacts of the US net-zero emissions goal","year":2023,"lang":"en","type":"article","venue":"Energy and Climate Change","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"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":"Pacific Northwest National Laboratory; Pierre Elliott Trudeau Foundation; Social Sciences and Humanities Research Council of Canada; BP; National Research Foundation; Battelle; Laboratory Directed Research and Development; National Research Foundation of Korea; U.S. Department of Energy","keywords":"Sustainability; Safety net; Damages; Zero emission; Investment (military); Natural resource economics; Business; Environmental resource management; Environmental economics; Economics; Engineering; Political science","score_opus":0.013368695338642064,"score_gpt":0.24713139513004784,"score_spread":0.23376269979140576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387580525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99724454,0.00019481781,0.000016886948,0.0011167765,0.00010960673,0.00010278295,0.00015051375,0.00004681442,0.0010172906],"genre_scores_gemma":[0.99320644,0.003578104,0.00000571366,0.001095353,0.00001856817,0.000030141433,0.00008141429,0.000021108088,0.0019631742],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839646,0.00012991154,0.00025031832,0.00028270614,0.00025573096,0.00068486866],"domain_scores_gemma":[0.99929285,0.000030023473,0.00009762327,0.00030120646,0.0000031901725,0.00027513455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003268104,0.00019050928,0.00020555878,0.000028970673,0.00034425332,0.000022269212,0.00018985604,0.000061327606,0.0003965887],"category_scores_gemma":[0.000008607988,0.00011520553,0.00006943726,0.00022556006,0.000276541,0.00019235801,0.000534233,0.000079270765,0.000021823904],"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":[0.0001646976,0.00039405606,0.89700246,0.00018609113,0.000040050694,0.000024390267,0.0088843275,0.0007208933,0.026768591,0.00022200738,0.018219292,0.04737316],"study_design_scores_gemma":[0.0009771431,0.0004194278,0.85231113,0.00007431976,0.000020224903,0.0000132430305,0.0004820952,0.0008319762,0.048589393,0.0042343447,0.09150867,0.0005380129],"about_ca_topic_score_codex":0.0076315124,"about_ca_topic_score_gemma":0.0019965018,"teacher_disagreement_score":0.07328938,"about_ca_system_score_codex":0.00015199059,"about_ca_system_score_gemma":0.000007941972,"threshold_uncertainty_score":0.99897677},"labels":[],"label_agreement":null},{"id":"W4387757994","doi":"10.1016/b978-0-12-822562-2.00247-4","title":"Ecological Footprint, Concept of","year":2023,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"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; Sustainability; Per capita; Biodiversity; Overshoot (microwave communication); Geography; Environmental resource management; Ecosystem; Ecology; Natural resource economics; Economics; Business; Biology; Population; Computer science","score_opus":0.01653241111815323,"score_gpt":0.24094637125354046,"score_spread":0.22441396013538722,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4387757994","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.006286265,0.000038951082,0.000001127921,0.000036264813,0.00014307303,0.00050635915,0.000030430003,0.0000649611,0.99289256],"genre_scores_gemma":[0.03826604,0.000023240633,0.0001190635,0.00010270189,0.000047262864,0.000017617744,0.000012129462,0.000053723074,0.96135825],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9983318,0.00003247874,0.0004361906,0.00045691608,0.00041064722,0.0003319579],"domain_scores_gemma":[0.998999,0.000085268686,0.00021108061,0.0005382731,0.0000057495113,0.00016062275],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002620696,0.0003250466,0.0004736186,0.000034501496,0.00006935345,0.000010460787,0.00036334762,0.0003503339,0.006381053],"category_scores_gemma":[0.00003799754,0.00028130336,0.00027500305,0.00001450169,0.0010601121,0.000024868941,0.00070440175,0.0003623063,0.0012016677],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000012420746,0.000031392916,0.0013317189,0.000032743577,0.000035688186,0.00004360624,0.00024964733,0.000020672245,0.00011094576,0.0021049778,0.00022623713,0.99579996],"study_design_scores_gemma":[0.0002851413,0.00029165624,0.021308227,0.000057063586,0.000060160728,0.000007638547,0.0000517981,0.0000054274137,0.0005426107,0.0513851,0.9254534,0.00055177853],"about_ca_topic_score_codex":0.000003785069,"about_ca_topic_score_gemma":0.000038221788,"teacher_disagreement_score":0.9952482,"about_ca_system_score_codex":0.00035899357,"about_ca_system_score_gemma":0.000018016395,"threshold_uncertainty_score":0.99996394},"labels":[],"label_agreement":null},{"id":"W4388160294","doi":"10.3390/su152115407","title":"Evaluation of Carbon Emission Factors in the Cement Industry: An Emerging Economy Context","year":2023,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":105,"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 Regina","funders":"","keywords":"Cement; Context (archaeology); Production (economics); Emerging markets; Consumption (sociology); Low-carbon economy; Business; Natural resource economics; Greenhouse gas; Environmental economics; Economy; Engineering; Waste management; Environmental science; Economics","score_opus":0.040570992863232506,"score_gpt":0.332257783537707,"score_spread":0.2916867906744745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388160294","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943274,0.0000102644435,0.000001961334,0.0008292433,0.000036889134,0.0011626517,0.0000027355543,0.00002726865,0.0036015548],"genre_scores_gemma":[0.9997378,0.0000013410828,0.0000026896741,0.000045225745,0.000011259629,0.00008127391,0.000015326588,0.000009034122,0.00009605194],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718237,0.0009484599,0.00036669627,0.00038037295,0.00071690354,0.0004051925],"domain_scores_gemma":[0.9990196,0.000098588105,0.00010605807,0.0006140273,0.00006373273,0.000097972086],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072339014,0.00016302988,0.00017575681,0.000065951186,0.00011266859,0.000019595154,0.00030839402,0.00014236354,0.00062510814],"category_scores_gemma":[0.0009777651,0.00011990249,0.00006096213,0.00058166136,0.0003023903,0.0003188644,0.00019936083,0.00029141657,0.0000034833536],"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":[0.000014970849,0.00022012116,0.9766234,0.000028627685,0.0000038707376,0.000001836525,0.007898642,0.0032033524,0.00013120467,0.000051871397,0.000051812105,0.011770259],"study_design_scores_gemma":[0.00034465076,0.000107500935,0.8981206,0.0000034011819,0.000022841714,2.9228408e-7,0.074659325,0.0074136336,0.0010045867,0.017787918,0.00040894106,0.00012630467],"about_ca_topic_score_codex":0.0043495325,"about_ca_topic_score_gemma":0.0004000359,"teacher_disagreement_score":0.07850283,"about_ca_system_score_codex":0.0034189783,"about_ca_system_score_gemma":0.00013789898,"threshold_uncertainty_score":0.8940509},"labels":[],"label_agreement":null},{"id":"W4388265977","doi":"10.32388/jgt6pw","title":"Review of: \"A Study for Estimation of Greenhouse Gas Emissions of Cotton in Central Greece\"","year":2023,"lang":"en","type":"peer-review","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Estimation; Environmental science; Economics; Biology; Ecology","score_opus":0.0328223264864625,"score_gpt":0.34203607325138147,"score_spread":0.309213746764919,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388265977","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.54232097,0.28003213,0.0021967797,0.043085016,0.0032844623,0.100268014,0.0063091456,0.00038844996,0.02211507],"genre_scores_gemma":[0.18222871,0.60257274,0.010980574,0.0032909322,0.0001272926,0.0017360015,0.0038320606,0.0004346243,0.19479705],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.99728143,0.00016896623,0.0012520888,0.00038259797,0.0005868125,0.0003281059],"domain_scores_gemma":[0.9984188,0.00018895535,0.0006027534,0.00065218937,0.000021234024,0.000116066236],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013036754,0.00027414967,0.0010870409,0.00006523883,0.00002685458,0.000002275196,0.0003932891,0.00012455723,0.0025363266],"category_scores_gemma":[0.0008952918,0.00022115782,0.00028368496,0.00045978586,0.0002184053,0.0001089936,0.00031327913,0.00017456594,0.000014243734],"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":[0.000050250193,0.0031591665,0.045937397,0.164581,0.00007147383,0.0000049492696,0.0006222793,0.0005422533,0.000107404485,0.000011315485,0.7151461,0.06976638],"study_design_scores_gemma":[0.0048548644,0.0062517943,0.43304887,0.22059473,0.0028242792,0.000010861536,0.0022600407,0.0031077974,0.0018794854,0.0024418766,0.32003766,0.0026877406],"about_ca_topic_score_codex":0.003459647,"about_ca_topic_score_gemma":0.0010663075,"teacher_disagreement_score":0.39510846,"about_ca_system_score_codex":0.00037832293,"about_ca_system_score_gemma":0.000055421995,"threshold_uncertainty_score":0.9983755},"labels":[],"label_agreement":null},{"id":"W4388862893","doi":"10.1007/978-3-031-25984-5_323","title":"Life Cycle Assessment: Products and Services","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Life-cycle assessment; Business; Economics; Production (economics)","score_opus":0.00995153241880993,"score_gpt":0.2346330808308365,"score_spread":0.2246815484120266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4388862893","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.016490767,0.000050482315,0.000004035009,0.0009481853,0.000093822295,0.0004229867,0.000017803914,0.00013573063,0.9818362],"genre_scores_gemma":[0.0549021,0.00024358956,0.00039732046,0.0007638386,0.000067114284,0.000010352576,0.000038385348,0.00006424344,0.94351304],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985669,0.000012810764,0.00021292384,0.00056593836,0.00036964923,0.00027177343],"domain_scores_gemma":[0.99916893,0.000028058384,0.00008539975,0.0004211395,0.0000034833274,0.00029299647],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0002103212,0.00028664197,0.00024175586,0.000029534182,0.00012148263,0.000054511434,0.00018754561,0.00018097994,0.0079598315],"category_scores_gemma":[0.000016577773,0.00024618264,0.000048352726,0.000032478194,0.00029312132,0.00022336733,0.0006896049,0.00023201646,0.0017256851],"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":[0.00022010358,0.0011215911,0.3689224,0.0065208315,0.0011365006,0.000761497,0.0060556806,0.0022550577,0.00272181,0.2955206,0.109314695,0.20544921],"study_design_scores_gemma":[0.00063670316,0.00030166208,0.38539794,0.00010405527,0.00016519807,0.000017526534,0.0005754211,0.0011112187,0.000079185935,0.11262369,0.49717402,0.0018133937],"about_ca_topic_score_codex":0.0002578383,"about_ca_topic_score_gemma":0.00013485088,"teacher_disagreement_score":0.3878593,"about_ca_system_score_codex":0.00021582682,"about_ca_system_score_gemma":0.00002103821,"threshold_uncertainty_score":0.99999905},"labels":[],"label_agreement":null},{"id":"W4389032362","doi":"10.22617/brf230529-2","title":"The Role of Trade in Asia and the Pacific’s Net Zero Pathways: Overview and Policy Implications","year":2023,"lang":"en","type":"report","venue":"","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Asia pacific; Zero (linguistics); International trade; Climate change; Net (polyhedron); International economics; Business; Economics; Oceanography; Geology; Mathematics","score_opus":0.03816990169262153,"score_gpt":0.30354109955214015,"score_spread":0.2653711978595186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389032362","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.27139693,0.016281284,0.000011993984,0.018486088,0.00012562415,0.0036313178,0.0002790438,0.000087084474,0.6897006],"genre_scores_gemma":[0.9628607,0.03379913,0.00001702703,0.000066393615,0.000025358037,0.00009596999,0.000013767951,0.000022355482,0.0030992674],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99852574,0.00013903998,0.0003935464,0.00030377723,0.00034880752,0.0002890775],"domain_scores_gemma":[0.9989019,0.00031456168,0.00015496844,0.0005391241,0.0000030288907,0.0000863971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012505999,0.00019392658,0.00029471263,0.000032414355,0.00018190523,0.00004557839,0.00024000109,0.00013463266,0.0000710685],"category_scores_gemma":[0.00022516238,0.00010176651,0.00007951777,0.00025919938,0.0012043599,0.00008131612,0.00042191855,0.00023137528,0.000008075939],"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":[0.000059804654,0.00020502055,0.579174,0.00021630169,0.00008212404,0.0000048451298,0.004121777,0.000037557817,0.0004852029,0.022188459,0.010557231,0.38286766],"study_design_scores_gemma":[0.0002029112,0.000024106375,0.8673476,0.000015419715,0.000020519223,0.000017915361,0.002261239,0.00004656262,0.00003107339,0.038331375,0.0915781,0.00012319435],"about_ca_topic_score_codex":0.008528494,"about_ca_topic_score_gemma":0.0013956642,"teacher_disagreement_score":0.69146377,"about_ca_system_score_codex":0.0003754554,"about_ca_system_score_gemma":0.0000830114,"threshold_uncertainty_score":0.9980738},"labels":[],"label_agreement":null},{"id":"W4389367720","doi":"10.2139/ssrn.4647023","title":"A Future Infrastructure Growth Model for Building More Housing with Less Embodied Greenhouse Gas","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Embodied cognition; Natural resource economics; Embodied energy; Business; Greenhouse; Environmental science; Architectural engineering; Environmental economics; Economics; Engineering; Computer science; Geology; Ecology","score_opus":0.0071885299804337315,"score_gpt":0.23640981598992072,"score_spread":0.229221286009487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389367720","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.956161,0.00009049036,0.041789144,0.0012325959,0.00006046229,0.00036180753,0.0000074754726,0.00009566636,0.00020130747],"genre_scores_gemma":[0.99665093,0.00051372475,0.0019048692,0.00014969107,0.00017008619,0.000020026875,0.000007211919,0.00006364185,0.0005198391],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964255,0.000042131953,0.00023496177,0.00035648159,0.00043137724,0.0025095656],"domain_scores_gemma":[0.99944365,0.000026232185,0.00013750739,0.00022676153,0.00001516868,0.00015068252],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00084759685,0.00027557,0.000228417,0.00007968681,0.00057246035,0.0000752114,0.00035774923,0.000120754965,0.00003257497],"category_scores_gemma":[0.000030529092,0.00021079982,0.00012836867,0.0003721069,0.00018468674,0.00048193499,0.00014104097,0.0011349975,0.0000103099665],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0013025204,0.00030907692,0.3961889,0.000115405426,0.00037049796,0.000057328623,0.0069566653,0.45465454,0.0062225997,0.022751238,0.0017217795,0.10934942],"study_design_scores_gemma":[0.0040753684,0.0011761482,0.058465607,0.000045721634,0.00019262353,0.0007024418,0.028602278,0.25637177,0.0006145184,0.64768577,0.0007809891,0.0012867828],"about_ca_topic_score_codex":0.00008482049,"about_ca_topic_score_gemma":0.00078292825,"teacher_disagreement_score":0.62493455,"about_ca_system_score_codex":0.002543928,"about_ca_system_score_gemma":0.00028530465,"threshold_uncertainty_score":0.8596167},"labels":[],"label_agreement":null},{"id":"W4389454886","doi":"10.1016/j.isci.2023.108685","title":"Implications of uncertainty in technology cost projections for least-cost decarbonized electricity systems","year":2023,"lang":"en","type":"article","venue":"iScience","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":"Merck Canada Inc. (Canada)","funders":"Carnegie Institution of Washington; Gates Ventures","keywords":"Electricity; Stylized fact; Portfolio; Risk analysis (engineering); Renewable energy; Cost reduction; Environmental economics; Cost driver; Computer science; Economics; Business; Engineering","score_opus":0.02136126704822831,"score_gpt":0.29966532244561495,"score_spread":0.2783040553973866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389454886","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925563,0.0000285659,0.0020361533,0.0008435039,0.0000883122,0.0018585012,0.00003535341,0.000080945625,0.0024724132],"genre_scores_gemma":[0.9986028,0.000015798416,0.00015387234,0.000022457936,0.0000056579524,0.0007079121,0.0000059045055,0.000006247897,0.00047931864],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987709,0.000033713808,0.0002480284,0.000340167,0.0001754171,0.00043180978],"domain_scores_gemma":[0.99941593,0.00010035481,0.00008252908,0.00032383364,0.000013280355,0.000064040905],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005623268,0.00009485893,0.00014942231,0.00017736862,0.00017837925,0.00001656309,0.00035258612,0.000070620285,0.000031555777],"category_scores_gemma":[0.0003013886,0.000085998276,0.000041005842,0.0028133604,0.00056984683,0.00016960937,0.0001495477,0.0000948989,0.000036641934],"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":[0.000030940704,0.00028810042,0.8267949,0.000032407024,0.0000041377684,0.0000016074223,0.00049913285,0.062757924,0.08230778,0.0023608692,0.000823036,0.02409914],"study_design_scores_gemma":[0.0007071783,0.00019806549,0.91266614,0.00001647619,0.000010590931,0.000012467372,0.0019776607,0.06538477,0.0047333515,0.006661175,0.0073487074,0.00028339846],"about_ca_topic_score_codex":0.0009623664,"about_ca_topic_score_gemma":0.00060462154,"teacher_disagreement_score":0.085871235,"about_ca_system_score_codex":0.000594652,"about_ca_system_score_gemma":0.000047541034,"threshold_uncertainty_score":0.35069078},"labels":[],"label_agreement":null},{"id":"W4389954518","doi":"10.2139/ssrn.4668618","title":"Carbon Fractions in Wood for Estimating Embodied Carbon in the Built Environment","year":2023,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Carbon fibers; Embodied cognition; Environmental science; Natural resource economics; Materials science; Computer science; Composite material; Economics; Artificial intelligence","score_opus":0.018904031364211208,"score_gpt":0.281778421456593,"score_spread":0.2628743900923818,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389954518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9926717,0.00032573962,0.001176051,0.0020830429,0.00032582684,0.0013131257,0.000007940617,0.000027762218,0.0020687839],"genre_scores_gemma":[0.9972883,0.00079319417,0.0007138634,0.000067137575,0.00018751364,0.00031835743,0.000018411158,0.00005730986,0.00055594504],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99523115,0.0003218081,0.00067131605,0.00059901073,0.0005860647,0.0025906465],"domain_scores_gemma":[0.99879533,0.00021890439,0.0003222965,0.00056891155,0.0000033377883,0.00009124864],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004645156,0.0003939738,0.0003907785,0.00014931886,0.00019698816,0.000080834674,0.0007820164,0.00029233232,0.000044697383],"category_scores_gemma":[0.00020997797,0.00032479697,0.00020830844,0.00019753119,0.00016643564,0.00011125447,0.00056443736,0.0047965646,0.00001693933],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00021546664,0.001341389,0.50959504,0.0001291268,0.0001806378,0.000059340997,0.0077036875,0.45916045,0.0006211531,0.0010601929,0.000075175034,0.019858345],"study_design_scores_gemma":[0.0017225133,0.0005216082,0.20503989,0.000115821655,0.0001282572,0.00012952829,0.0150074065,0.07316171,0.00006168818,0.70279986,0.0003625164,0.0009492025],"about_ca_topic_score_codex":0.008163514,"about_ca_topic_score_gemma":0.023118455,"teacher_disagreement_score":0.70173967,"about_ca_system_score_codex":0.010306609,"about_ca_system_score_gemma":0.00036859466,"threshold_uncertainty_score":0.9999204},"labels":[],"label_agreement":null},{"id":"W4389979924","doi":"10.1016/j.eneco.2023.107262","title":"Can China's regional carbon market pilots improve power plants' energy efficiency?","year":2023,"lang":"en","type":"article","venue":"Energy Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":25,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"China; Carbon market; Efficient energy use; Economics; Energy (signal processing); Power (physics); Environmental economics; Natural resource economics; Greenhouse gas; Engineering; Geography","score_opus":0.004350052310058846,"score_gpt":0.17968042799389145,"score_spread":0.1753303756838326,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389979924","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9341351,0.000020323687,0.000019985575,0.0005613636,0.00031711598,0.00005672402,0.000029139954,0.00007849797,0.064781755],"genre_scores_gemma":[0.9834932,0.00020488047,0.000031400017,0.00050789065,0.00007508068,0.000026450316,0.000051081002,0.000036261397,0.015573743],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998445,0.00005669296,0.0002641569,0.0005244369,0.00013571166,0.0005740528],"domain_scores_gemma":[0.99916434,0.00004261453,0.00009498846,0.00046792545,0.0000017546812,0.00022837402],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00025232753,0.00024208832,0.0002002388,0.0000617076,0.00015097547,0.00003613644,0.00033301194,0.00011572149,0.001009735],"category_scores_gemma":[0.000017199858,0.0002458619,0.00009571216,0.00013348451,0.00026357148,0.00010630883,0.0003598885,0.000093475326,0.00003279149],"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":[0.0009147933,0.0016405558,0.74373597,0.00003674717,0.00027632032,0.00026124323,0.0037517701,0.071036115,0.012956894,0.012071848,0.09893589,0.054381855],"study_design_scores_gemma":[0.0015443787,0.0006494564,0.5482899,0.000011091928,0.000023655932,0.000051715433,0.001159403,0.09773567,0.009525687,0.015960097,0.32335928,0.001689698],"about_ca_topic_score_codex":0.00518058,"about_ca_topic_score_gemma":0.0017952579,"teacher_disagreement_score":0.22442338,"about_ca_system_score_codex":0.0006879753,"about_ca_system_score_gemma":0.000027266777,"threshold_uncertainty_score":0.99999934},"labels":[],"label_agreement":null},{"id":"W4390277668","doi":"10.1016/j.scitotenv.2023.169386","title":"Multi-objective optimisation model of a low-cost path to peaking carbon dioxide emissions and carbon neutrality in China","year":2023,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Carbon neutrality; Greenhouse gas; Environmental science; Environmental economics; Global warming; Coal; Carbon sequestration; Energy consumption; Environmental engineering; Waste management; Carbon dioxide; Engineering; Climate change; Chemistry; Economics","score_opus":0.014138644409644003,"score_gpt":0.24674032513670052,"score_spread":0.23260168072705653,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390277668","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979152,0.0000067775677,0.000027650556,0.00050660246,0.000036636782,0.0007814117,0.000009696049,0.000010316009,0.00070571055],"genre_scores_gemma":[0.9992594,0.000017768667,0.00032417563,0.000012585349,0.000004058132,0.000034204433,4.9712077e-7,0.000009445191,0.00033785572],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99816257,0.00010803175,0.00029410247,0.00039850996,0.0006399049,0.00039687258],"domain_scores_gemma":[0.9990986,0.00003965081,0.00013353814,0.0005933935,0.0000022990523,0.00013253264],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013480653,0.0001615572,0.00017935969,0.00006833076,0.00019004609,0.000010522071,0.0005013779,0.000040963303,0.000024805679],"category_scores_gemma":[0.00012528597,0.00010242328,0.000059676964,0.00061828917,0.0015550517,0.00015278273,0.0012443957,0.00015968767,0.000003333287],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017862203,0.00008032567,0.011249025,0.000009088105,0.0000018509767,3.8711087e-7,0.005798088,0.6339211,0.34857163,0.000009112719,6.460878e-7,0.00034093502],"study_design_scores_gemma":[0.00016283129,0.000033938006,0.660329,0.000022539763,0.000007786278,0.0000011725823,0.001009597,0.29030314,0.047764726,0.0002694625,3.261987e-7,0.000095499134],"about_ca_topic_score_codex":0.0015986135,"about_ca_topic_score_gemma":0.000015170957,"teacher_disagreement_score":0.64908,"about_ca_system_score_codex":0.00065157795,"about_ca_system_score_gemma":0.000025706307,"threshold_uncertainty_score":0.57296526},"labels":[],"label_agreement":null},{"id":"W4390342086","doi":"10.1007/s11367-023-02273-8","title":"Life cycle assessment: from industry to policy to politics","year":2023,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":27,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Social Sciences and Humanities Research Council","keywords":"Public policy; Politics; Sustainability; Agency (philosophy); Policy studies; Environmental governance; Policy analysis; Public sector; Public administration; Government (linguistics); Corporate governance; Life-cycle assessment; Political science; Public economics; Economics; Sociology; Economic growth; Economy; Social science; Management","score_opus":0.017736228902379556,"score_gpt":0.3525765164835121,"score_spread":0.33484028758113255,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390342086","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9052451,0.0000063690177,0.0007900326,0.08631066,0.000571459,0.00022503211,0.00006614837,0.000028219714,0.0067569697],"genre_scores_gemma":[0.9797365,0.000019440127,0.0019403347,0.01663055,0.0009887102,0.000014941369,0.000010459374,0.00002708414,0.0006319568],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99677277,0.0001599413,0.00068046764,0.00025218746,0.0016766941,0.00045795875],"domain_scores_gemma":[0.9980029,0.0002525369,0.00028865735,0.00037318576,0.000057177065,0.0010255645],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010081746,0.00021214467,0.0002642128,0.00024346908,0.00017459241,0.00018821575,0.001419832,0.00010651916,0.0019078442],"category_scores_gemma":[0.000671009,0.00016185443,0.00015821202,0.0005564287,0.00011761205,0.00038794006,0.0010986188,0.00059663865,0.00045906877],"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":[0.00017545295,0.0009436298,0.60376364,0.000008136134,0.0005901836,0.00018816524,0.0029320654,0.30571496,0.006566667,0.003522565,0.0604999,0.015094596],"study_design_scores_gemma":[0.00056557,0.00018437784,0.9699206,0.000027057442,0.00002411609,0.000012930017,0.0023773499,0.0026088483,0.00020522007,0.007444915,0.016424421,0.00020462362],"about_ca_topic_score_codex":0.0014284027,"about_ca_topic_score_gemma":0.00005150322,"teacher_disagreement_score":0.3661569,"about_ca_system_score_codex":0.0021141174,"about_ca_system_score_gemma":0.00045644774,"threshold_uncertainty_score":0.99900454},"labels":[],"label_agreement":null},{"id":"W4390532023","doi":"10.1016/j.enbuild.2023.113875","title":"Global building life cycle assessment: Comparative study of steel and concrete frames across European Union, USA, Canada, and Australia building codes","year":2024,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Concordia University","funders":"","keywords":"Greenhouse gas; Carbon footprint; Life-cycle assessment; European union; Footprint; Engineering; Frame (networking); Building code; Civil engineering; Environmental science; Architectural engineering; Business; Geography; Production (economics); Telecommunications; Ecology","score_opus":0.01420214860243332,"score_gpt":0.30324790726643247,"score_spread":0.2890457586639992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390532023","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99845916,0.00031468153,0.0004003465,0.00007366302,0.000073556825,0.00012772967,0.000045034052,0.000020167074,0.00048567436],"genre_scores_gemma":[0.998869,0.00005256469,0.0007376528,0.00007510931,0.000025311334,0.0000048158095,0.0000025836785,0.000011487162,0.00022148989],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983858,0.0002244986,0.00028050656,0.00048886007,0.00027845585,0.0003418879],"domain_scores_gemma":[0.99941796,0.00010056063,0.000077783705,0.00014660652,0.00000723999,0.0002498587],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005732942,0.00023467507,0.00029058888,0.000019343377,0.00029560694,0.00015072996,0.00013227304,0.000052155705,0.00009812148],"category_scores_gemma":[0.000022460237,0.00020797824,0.00002379721,0.00019307042,0.0005030482,0.00036652922,0.00047266757,0.0001252947,4.6334506e-7],"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":[0.000020152873,0.00005560738,0.9846131,0.000054048007,0.00008786422,0.00004764084,0.0023177366,0.0017954179,0.005000671,0.0027120295,0.00037073003,0.0029249971],"study_design_scores_gemma":[0.00044999758,0.00030001116,0.98866314,0.000046190013,0.000042247088,0.000018965375,0.0051430706,0.0014332758,0.00062381424,0.00037028102,0.002629311,0.000279718],"about_ca_topic_score_codex":0.40189776,"about_ca_topic_score_gemma":0.16431533,"teacher_disagreement_score":0.23758243,"about_ca_system_score_codex":0.00022790284,"about_ca_system_score_gemma":0.000024337018,"threshold_uncertainty_score":0.85093373},"labels":[],"label_agreement":null},{"id":"W4390569264","doi":"10.1016/j.rser.2023.114227","title":"Factorial optimization-driven input-output analysis for socio-economic and environmental effects of GHG emission reduction in electric power systems – A Canadian case study","year":2024,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Regina","funders":"","keywords":"Greenhouse gas; Environmental economics; Reduction (mathematics); Electric power system; Electric power; Carbon capture and storage (timeline); Electricity generation; Power (physics); Environmental science; Environmental engineering; Natural resource economics; Economics; Climate change","score_opus":0.006303278050787949,"score_gpt":0.23024073853637333,"score_spread":0.22393746048558538,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390569264","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.984736,0.01067033,0.0027983948,0.000020924588,0.00013255303,0.0014504394,0.0000097692055,0.000012570799,0.00016900609],"genre_scores_gemma":[0.99344987,0.0036072647,0.00006704002,0.000008925185,0.000030656287,0.00021663618,0.000030642106,0.000020403933,0.0025685783],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99817735,0.00021973843,0.00047749557,0.00052532076,0.00011527558,0.00048481557],"domain_scores_gemma":[0.99932665,0.00008306403,0.00010386781,0.00023829564,0.000004148601,0.00024395592],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066245283,0.00023998016,0.0005327192,0.00031317727,0.00022620126,0.00009219477,0.00008165933,0.00012406499,0.00007143904],"category_scores_gemma":[0.000043129767,0.000210468,0.00011497935,0.00044236623,0.00008050979,0.00038767583,0.00009881687,0.00007898816,8.0422654e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000090220376,0.0004993956,0.17739046,0.0016553015,0.0004496206,0.0010138218,0.0064328257,0.80078536,0.0016143318,0.0001325169,0.001197579,0.008738592],"study_design_scores_gemma":[0.005138077,0.003987417,0.009999313,0.00037593144,0.0034049286,0.0008412844,0.12901445,0.68845373,0.0014011172,0.00078717805,0.15364714,0.0029494243],"about_ca_topic_score_codex":0.29641244,"about_ca_topic_score_gemma":0.00808145,"teacher_disagreement_score":0.28833097,"about_ca_system_score_codex":0.0017890359,"about_ca_system_score_gemma":0.0000858198,"threshold_uncertainty_score":0.85826355},"labels":[],"label_agreement":null},{"id":"W4390599518","doi":"10.1007/978-3-031-46688-5_1","title":"Sustainable Development of Recent High-Rise Timber Buildings","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"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; Cross laminated timber; Engineering; Architectural engineering; Green building; Resistance (ecology); Business; Civil engineering; Environmental resource management; Environmental science; Ecology","score_opus":0.009843216089692632,"score_gpt":0.22506030735366858,"score_spread":0.21521709126397595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390599518","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.020733913,0.00020931124,0.00010240151,0.00021887224,0.00011461037,0.000576584,0.00000861935,0.0000765154,0.97795916],"genre_scores_gemma":[0.014743065,0.00016959768,0.0049919076,0.000086314074,0.000028939801,0.000017182645,0.00002601205,0.00007750184,0.9798595],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976336,0.000009235,0.0005878282,0.00062716694,0.00062376924,0.00051845395],"domain_scores_gemma":[0.9990968,0.000026625585,0.00015206507,0.00049665634,0.00001682869,0.00021101627],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.000393369,0.00044704718,0.0004226747,0.00008512162,0.000111764704,0.00003642188,0.0003252524,0.0003089993,0.09932984],"category_scores_gemma":[0.000017144555,0.00037920914,0.00014084516,0.00007343685,0.00040769335,0.0001730606,0.0011211624,0.0003424544,0.0027995356],"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":[0.00029989844,0.0009053117,0.0043324004,0.0026500428,0.00078764354,0.000946591,0.008059116,0.0010011311,0.0017836408,0.70118713,0.13794096,0.14010614],"study_design_scores_gemma":[0.00013489663,0.00006398173,0.0007886953,0.00003777908,0.000058289414,0.000004600061,0.0003563579,0.000008765206,0.0019124951,0.04373064,0.9524329,0.00047062026],"about_ca_topic_score_codex":0.00028623224,"about_ca_topic_score_gemma":0.000066377426,"teacher_disagreement_score":0.8144919,"about_ca_system_score_codex":0.0021674237,"about_ca_system_score_gemma":0.000070668546,"threshold_uncertainty_score":0.999866},"labels":[],"label_agreement":null},{"id":"W4390610776","doi":"10.1016/j.isci.2024.108791","title":"Climate change induced water stress and future semiconductor supply chain risk","year":2024,"lang":"en","type":"article","venue":"iScience","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Memorial University of Newfoundland","funders":"Social Sciences and Humanities Research Council of Canada; National University of Singapore","keywords":"Supply chain; Climate change; Environmental science; Business; Water supply; Semiconductor device fabrication; Natural resource economics; Environmental engineering; Ecology; Marketing; Materials science; Economics; Nanotechnology","score_opus":0.011819353500389995,"score_gpt":0.24317957555808303,"score_spread":0.23136022205769305,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390610776","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99621713,0.00042301443,0.000004469989,0.0012433337,0.00034550167,0.00025776782,0.000053086347,0.00006558177,0.00139009],"genre_scores_gemma":[0.99884665,0.00043868434,0.00008923709,0.00020303327,0.00017231474,0.000026970803,0.000004506007,0.000011459297,0.00020716318],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99853474,0.000055664503,0.0001265208,0.0004918516,0.00027688418,0.0005143687],"domain_scores_gemma":[0.99954385,0.000020391712,0.000018891176,0.00024396634,0.000001888863,0.00017099146],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00044162525,0.00015618249,0.00010308907,0.000033878983,0.00023705157,0.00013750012,0.00021629271,0.00006924023,0.0013728096],"category_scores_gemma":[0.000010401725,0.00010098758,0.0000356256,0.00018077831,0.00039700384,0.00084733794,0.00041935671,0.00019460723,0.00031382072],"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":[0.000012729752,0.0000897353,0.6525065,0.00009281954,0.0000052939436,0.00007080893,0.017451407,0.000009076011,0.13204484,0.0002269494,0.00023239451,0.19725749],"study_design_scores_gemma":[0.00017154707,0.00016209565,0.9218076,0.00004150452,0.00001919541,0.000028861015,0.0027544845,0.0016856405,0.058154427,0.0009073543,0.01383097,0.00043635798],"about_ca_topic_score_codex":0.00038165267,"about_ca_topic_score_gemma":0.00007875072,"teacher_disagreement_score":0.2693011,"about_ca_system_score_codex":0.00015463625,"about_ca_system_score_gemma":0.0000041565595,"threshold_uncertainty_score":0.9995401},"labels":[],"label_agreement":null},{"id":"W4391017561","doi":"10.2139/ssrn.4700485","title":"Heterogeneity in Carbon Intensity Patterns: A Subsampling Approach","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Categorization; Metric (unit); Climate change; Gross domestic product; Econometrics; Unit (ring theory); Geography; Natural resource economics; Economics; Computer science; Mathematics; Ecology; Economic growth; Operations management; Artificial intelligence","score_opus":0.0121301961863568,"score_gpt":0.24970241570518534,"score_spread":0.23757221951882854,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391017561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994453,0.0014160367,0.0008666876,0.00022718665,0.0003372625,0.00042523598,0.000007554358,0.000048256577,0.0022187652],"genre_scores_gemma":[0.99787945,0.001385783,0.00012339315,0.000067527166,0.00015754081,0.000027607637,0.0000164377,0.00005560854,0.00028666714],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.995059,0.0001879566,0.00055336993,0.0008064449,0.0005263375,0.0028668859],"domain_scores_gemma":[0.9990917,0.00001965897,0.00018355162,0.000518848,0.000008084708,0.00017819372],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0028998198,0.00046139437,0.00049046386,0.00012803232,0.000086718435,0.00013259007,0.0006229893,0.0003611391,0.0000660901],"category_scores_gemma":[0.000051740724,0.000417437,0.00030326005,0.00018306487,0.00016216829,0.00009781105,0.002362807,0.008779624,0.00004092874],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000096871394,0.00036229152,0.98276204,0.00015128401,0.00014442415,0.00004877795,0.0010132925,0.008662344,0.00028536742,0.00030443724,0.0000110128685,0.0061578383],"study_design_scores_gemma":[0.00074727065,0.0003095692,0.36594045,0.00021204408,0.00017362363,0.0010648879,0.006114964,0.012797252,0.00047586858,0.6106837,0.00008449636,0.0013959114],"about_ca_topic_score_codex":0.0047919517,"about_ca_topic_score_gemma":0.0088623995,"teacher_disagreement_score":0.6168216,"about_ca_system_score_codex":0.012645014,"about_ca_system_score_gemma":0.0004434139,"threshold_uncertainty_score":0.99982774},"labels":[],"label_agreement":null},{"id":"W4391096344","doi":"10.1088/2634-4505/ad2153","title":"The carbon footprint of future engineered wood construction in Montreal","year":2024,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon footprint; Footprint; Environmental science; Waste management; Engineering; Greenhouse gas; Geology; Geography; Archaeology; Oceanography","score_opus":0.00467253474728966,"score_gpt":0.26261115019174114,"score_spread":0.25793861544445146,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391096344","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99480927,0.0012387481,0.000020619114,0.000768814,0.0001341615,0.0008174824,0.000014325922,0.000023195895,0.0021733867],"genre_scores_gemma":[0.9987919,0.00062153715,0.00011060318,0.0000066905927,0.000067974426,0.00006167034,0.0000060755574,0.000019261335,0.000314299],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970425,0.0004131087,0.00043239328,0.00059624645,0.0007674015,0.00074839825],"domain_scores_gemma":[0.9988694,0.00034821013,0.000039142564,0.00052449305,0.000008906037,0.00020980353],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018365127,0.00024792025,0.00023432166,0.0001083448,0.00026166695,0.00008548498,0.00029632723,0.00018672983,0.0002269974],"category_scores_gemma":[0.0002254301,0.00017605258,0.00008633219,0.00044310448,0.0026024957,0.00015112817,0.0006307016,0.00088935054,0.0000043552086],"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":[0.0002131278,0.00014390607,0.5986136,0.00020559918,0.000029883098,0.00005843766,0.0030774528,0.0012273719,0.00230738,0.0013577479,0.00007055448,0.39269492],"study_design_scores_gemma":[0.00027140533,0.00018739283,0.9251835,0.000010615991,0.000007645078,0.000022582059,0.013123274,0.0019830326,0.001195279,0.051745404,0.0060955063,0.0001744093],"about_ca_topic_score_codex":0.00097406644,"about_ca_topic_score_gemma":0.0003990327,"teacher_disagreement_score":0.39252052,"about_ca_system_score_codex":0.0022094487,"about_ca_system_score_gemma":0.000060366754,"threshold_uncertainty_score":0.9589004},"labels":[],"label_agreement":null},{"id":"W4391226126","doi":"10.1016/j.energy.2024.130441","title":"Achieving China's ‘double carbon goals’, an analysis of the potential and cost of carbon capture in the resource-based area: Northwestern China","year":2024,"lang":"en","type":"article","venue":"Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":39,"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; University of Waterloo","funders":"Xi’an Jiaotong University","keywords":"China; Greenhouse gas; Carbon fibers; Environmental science; Resource (disambiguation); Carbon sequestration; Natural resource economics; Climate change; Environmental resource management; Geography; Carbon dioxide; Economics; Ecology; Computer science","score_opus":0.00470811444234688,"score_gpt":0.2081190892083742,"score_spread":0.20341097476602732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391226126","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964757,0.00021786698,0.000028346925,0.0002460704,0.000031536856,0.00012443727,0.000011503013,0.000008855787,0.0028556853],"genre_scores_gemma":[0.99973434,0.000009982932,0.000007523817,0.000055746565,0.000013283211,0.00000990527,0.000016308337,0.000010258816,0.00014263557],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988006,0.00019150689,0.0002182327,0.00026724095,0.00032798116,0.00019446593],"domain_scores_gemma":[0.9994021,0.0000328157,0.00006899399,0.00044542455,0.0000016922011,0.00004895924],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035775534,0.0001400045,0.00020574435,0.00007339313,0.000055257766,0.000027366634,0.00028203186,0.00006935986,0.00005519511],"category_scores_gemma":[0.000008007183,0.00008227404,0.00011480144,0.0006287504,0.0002873691,0.00007260515,0.00014100483,0.00014829771,8.6930754e-8],"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":[0.000050786963,0.0001381794,0.83905953,0.000020586816,0.000051814182,0.00001333002,0.0037781324,0.14933789,0.0058644065,0.00004512091,0.0000034957711,0.0016367502],"study_design_scores_gemma":[0.00017907828,0.000048585774,0.95025605,0.000013945607,0.00017105979,0.0000018829165,0.00080939534,0.047074907,0.0011423267,0.000037970032,0.0001747446,0.00009004454],"about_ca_topic_score_codex":0.06113353,"about_ca_topic_score_gemma":0.020883566,"teacher_disagreement_score":0.11119655,"about_ca_system_score_codex":0.00013988803,"about_ca_system_score_gemma":0.000012278587,"threshold_uncertainty_score":0.99698275},"labels":[],"label_agreement":null},{"id":"W4391241828","doi":"10.1016/j.resconrec.2024.107448","title":"Unveiling the changes of carbon emissions along supply chains: Drivers and sustainable mitigation strategies","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"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; National Natural Science Foundation of China; National Science Foundation","keywords":"Emission intensity; Carbon fibers; Environmental economics; Consumption (sociology); Natural resource economics; Mains electricity; Reduction (mathematics); Supply chain; Greenhouse gas; Supply and demand; Electricity; Environmental science; Business; Economics; Computer science; Microeconomics; Power (physics); Engineering; Ecology","score_opus":0.007529066853651813,"score_gpt":0.23121566753166914,"score_spread":0.22368660067801732,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391241828","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99340475,0.0010224424,0.00005468674,0.0032177959,0.000027040207,0.00020842465,0.0000016061467,0.000032373668,0.0020308758],"genre_scores_gemma":[0.9981083,0.0003511368,0.00008327499,0.00010585413,0.000020764439,0.000008083592,0.000004073092,0.000007798697,0.0013106986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992489,0.00007623819,0.00015366834,0.0001910696,0.00014460771,0.00018549168],"domain_scores_gemma":[0.9996113,0.00017423698,0.000049618033,0.000099847624,0.000006769367,0.00005821067],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005011384,0.00009430284,0.00009416552,0.000038958962,0.00025814766,0.000101831145,0.000057556525,0.000057379868,0.00005503096],"category_scores_gemma":[0.00006543428,0.00006610166,0.000021641828,0.00017282629,0.00038086151,0.00019859872,0.00010434843,0.000108257416,7.963992e-7],"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":[0.000034040175,0.000039397833,0.8981675,0.0005465678,0.00004252613,0.000020596899,0.036947273,0.0014559181,0.036918994,0.0033092652,0.00016171813,0.022356216],"study_design_scores_gemma":[0.00034252895,0.00013152335,0.7379161,0.00026345623,0.00006983739,0.000018734025,0.16283354,0.064685695,0.005394958,0.0035545987,0.024475398,0.00031359895],"about_ca_topic_score_codex":0.0014687869,"about_ca_topic_score_gemma":0.00023625497,"teacher_disagreement_score":0.16025136,"about_ca_system_score_codex":0.000066998124,"about_ca_system_score_gemma":0.0000141247665,"threshold_uncertainty_score":0.26955473},"labels":[],"label_agreement":null},{"id":"W4391374546","doi":"10.1016/j.jenvman.2024.120088","title":"Assessing greenhouse gas emissions in Cuban agricultural soils: Implications for climate change and rice (Oryza sativa L.) production","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Greenhouse gas; Environmental science; Agriculture; Agricultural engineering; Climate change; Soil water; Agronomy; Agricultural economics; Economics; Ecology; Soil science; Engineering","score_opus":0.02654586106247148,"score_gpt":0.2873461880480824,"score_spread":0.2608003269856109,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391374546","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9943915,0.000626345,0.00021405464,0.0027096297,0.00018071395,0.0007856111,0.0000152246585,0.000019321544,0.0010575869],"genre_scores_gemma":[0.9955357,0.0020007542,0.0019024513,0.00008850826,0.000115522555,0.000076203716,0.0000071784443,0.000022335875,0.0002513711],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9985335,0.000063190724,0.00045681474,0.00034349872,0.0002514115,0.00035157747],"domain_scores_gemma":[0.999458,0.000046115398,0.00016180737,0.00018016412,0.0000017752795,0.00015212892],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005495941,0.0002011622,0.00019188241,0.00011307551,0.000188592,0.00012551894,0.0001571551,0.000053978616,0.0001242094],"category_scores_gemma":[0.000016090617,0.00015681739,0.000108146276,0.00018123224,0.00016869896,0.0014805933,0.00027258883,0.00018808241,0.000016604383],"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":[0.00014689945,0.002231341,0.44032842,0.0008197784,0.00018058537,0.00011773474,0.0049265227,0.0012813348,0.09280678,0.00057187554,0.0027450244,0.4538437],"study_design_scores_gemma":[0.00032748806,0.00015584921,0.99155545,0.0001077905,0.00007003541,0.00007759646,0.0031289114,0.00013008306,0.00026593698,0.001159796,0.002830449,0.00019062292],"about_ca_topic_score_codex":0.000014977384,"about_ca_topic_score_gemma":0.000012604921,"teacher_disagreement_score":0.55122703,"about_ca_system_score_codex":0.00093920797,"about_ca_system_score_gemma":0.000003016643,"threshold_uncertainty_score":0.63948274},"labels":[],"label_agreement":null},{"id":"W4391384116","doi":"10.1016/j.rser.2024.114290","title":"Review of factors affecting earthworks greenhouse gas emissions and fuel use","year":2024,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"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":"","keywords":"Earthworks; Greenhouse gas; Environmental science; Fuel efficiency; Environmental engineering; Waste management; Engineering; Geology; Automotive engineering; Geotechnical engineering","score_opus":0.015395402920577436,"score_gpt":0.25313100884962675,"score_spread":0.2377356059290493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391384116","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.29375252,0.6996841,0.0005210551,0.00020465424,0.0000584927,0.00066732295,0.0000052392484,0.00007526039,0.005031342],"genre_scores_gemma":[0.24966504,0.7313784,0.00026597775,0.0003573029,0.000024666286,0.00002762067,0.000013789474,0.00003256069,0.01823465],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980684,0.0002226177,0.00048466955,0.00048569078,0.00018306804,0.00055553275],"domain_scores_gemma":[0.9990152,0.00018957266,0.00010794174,0.00039447736,0.0000107040705,0.00028207415],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010423582,0.000291476,0.0005639071,0.000060716815,0.00020964361,0.0000968692,0.00012231249,0.00010367233,0.000609952],"category_scores_gemma":[0.00039845044,0.00021126408,0.00014867345,0.00049791235,0.00023925664,0.00073422334,0.00042325733,0.00014721292,0.0000045298666],"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":[0.00008465345,0.000804892,0.20462705,0.18794654,0.00025096664,0.0005443582,0.005240175,0.0010925937,0.005885666,0.0037023996,0.112855986,0.4769647],"study_design_scores_gemma":[0.00011734223,0.00013211773,0.0022455668,0.0039788736,0.000105354535,0.000029416198,0.001133901,0.00018632086,0.00048436856,0.0010221347,0.99023116,0.00033346078],"about_ca_topic_score_codex":0.0057804245,"about_ca_topic_score_gemma":0.00018040487,"teacher_disagreement_score":0.8773752,"about_ca_system_score_codex":0.00017392983,"about_ca_system_score_gemma":0.000028920367,"threshold_uncertainty_score":0.87383115},"labels":[],"label_agreement":null},{"id":"W4391444034","doi":"10.1007/s11356-024-32165-9","title":"A Taguchi-STIRPAT input–output model for unveiling the pathways of reducing household carbon emissions under dual-carbon target—A case study of Fujian province","year":2024,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Per capita; Consumption (sociology); Greenhouse gas; Carbon fibers; Dual (grammatical number); Population; Agricultural economics; Natural resource economics; Economics; Business; Computer science; Demography","score_opus":0.076984090888234,"score_gpt":0.3330358353832466,"score_spread":0.2560517444950126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391444034","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.997084,0.00024878114,0.00012518016,0.00030800074,0.00006065178,0.0015283697,0.00005788873,0.000021785934,0.00056531554],"genre_scores_gemma":[0.99911004,0.000048553127,0.00018234945,0.000024638914,0.000022265665,0.0000757609,0.0000020605353,0.00002134826,0.0005129506],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99647677,0.00021377848,0.00042031478,0.0007218846,0.0014885848,0.0006786541],"domain_scores_gemma":[0.99896395,0.0001545692,0.00008583236,0.00052084826,0.00000941818,0.0002653907],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.003824926,0.00020628766,0.00020876514,0.00018519346,0.00086766476,0.000075831274,0.0003528377,0.00008410221,0.000037878606],"category_scores_gemma":[0.00012578451,0.00014747123,0.00006387111,0.00074481685,0.0030690355,0.00036122976,0.00081988296,0.00038506353,0.0000018625879],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014603471,0.0020410991,0.041179266,0.00017574572,0.0000417248,0.00018787818,0.031742074,0.18135598,0.7307831,0.00022019871,0.00013735007,0.011989561],"study_design_scores_gemma":[0.0007083816,0.0012034245,0.03497953,0.00007048992,0.00004957032,0.00017864775,0.06952642,0.86347204,0.027817061,0.0014723579,0.00012418134,0.00039787713],"about_ca_topic_score_codex":0.0030560817,"about_ca_topic_score_gemma":0.0001479167,"teacher_disagreement_score":0.70296603,"about_ca_system_score_codex":0.0010321366,"about_ca_system_score_gemma":0.00018937717,"threshold_uncertainty_score":0.99964404},"labels":[],"label_agreement":null},{"id":"W4391695662","doi":"10.18174/646724","title":"Energiebesparing glastuinbouw in actueel perspectief","year":2024,"lang":"nl","type":"report","venue":"","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Art","score_opus":0.01575604288936076,"score_gpt":0.27719473625615887,"score_spread":0.2614386933667981,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391695662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49878296,0.0018853662,0.00002383949,0.000535042,0.0011373542,0.00061866647,0.000024792043,0.00009973554,0.49689224],"genre_scores_gemma":[0.75676036,0.0021582972,0.00020012486,0.00012545027,0.00019738988,0.000055710334,0.000023254099,0.000109328445,0.24037006],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935956,0.00016129346,0.0011328259,0.0019167769,0.0016644968,0.0015290048],"domain_scores_gemma":[0.99798393,0.00011498711,0.00021574569,0.0011614349,0.000012549562,0.0005113299],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014939326,0.0010420682,0.0009950034,0.00031906372,0.00016010908,0.0003256135,0.00077306054,0.00081840757,0.050606422],"category_scores_gemma":[0.00022953484,0.00094114774,0.0005470304,0.00078189594,0.00075149036,0.0005389955,0.0019211414,0.0017787536,0.010744056],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00015482614,0.0029749272,0.853106,0.0021982165,0.0004275968,0.0060643,0.0071604014,0.010381892,0.006446252,0.0013176013,0.035120558,0.074647404],"study_design_scores_gemma":[0.0009493099,0.00052401325,0.6244017,0.0007438769,0.00035260982,0.00038398395,0.01796282,0.001961077,0.0030167755,0.0035743925,0.34283936,0.0032901075],"about_ca_topic_score_codex":0.022179613,"about_ca_topic_score_gemma":0.004120807,"teacher_disagreement_score":0.3077188,"about_ca_system_score_codex":0.013423853,"about_ca_system_score_gemma":0.00035076457,"threshold_uncertainty_score":0.9993039},"labels":[],"label_agreement":null},{"id":"W4391721301","doi":"10.1007/978-3-031-17299-1_3333","title":"Ecological Footprint","year":2023,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Dalhousie University","funders":"","keywords":"Ecological footprint; Geography; Footprint; Ecology; Environmental science; Environmental resource management; Sustainable development; Archaeology; Biology","score_opus":0.021498715308985387,"score_gpt":0.23297544226704858,"score_spread":0.2114767269580632,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391721301","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0032497596,0.0000044656035,0.000015339985,0.00023456573,0.00010898235,0.0002743727,0.0000057278858,0.00017502124,0.99593174],"genre_scores_gemma":[0.021835977,0.000048965816,0.0001831662,0.0002284804,0.00003641197,0.000009666287,0.00001189808,0.000040373583,0.97760504],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987535,0.00000957865,0.0002106128,0.00042478563,0.00031158596,0.0002899504],"domain_scores_gemma":[0.99935377,0.000047846417,0.000055336215,0.00038066314,0.0000014597261,0.00016095224],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018037268,0.00024817928,0.00022013391,0.000020729163,0.000074420335,0.000017940836,0.00023957549,0.00030776506,0.0859647],"category_scores_gemma":[0.000024373347,0.00019631405,0.00016004597,0.000017779626,0.00036229784,0.000033139502,0.0007885151,0.0002842805,0.024281304],"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":[0.0000899098,0.0005675871,0.04895323,0.000115019,0.00020873426,0.0011039594,0.00041485473,0.00077801803,0.000546033,0.6192935,0.13421483,0.19371432],"study_design_scores_gemma":[0.00014809202,0.00019252778,0.10953269,0.000007889418,0.000027050333,0.00000799189,0.0000357834,0.000029365887,0.0000561709,0.23157385,0.65779775,0.00059082906],"about_ca_topic_score_codex":0.000054290285,"about_ca_topic_score_gemma":0.00012696328,"teacher_disagreement_score":0.52358294,"about_ca_system_score_codex":0.00058665004,"about_ca_system_score_gemma":0.0000060170714,"threshold_uncertainty_score":0.9764784},"labels":[],"label_agreement":null},{"id":"W4391757341","doi":"10.1002/0050064","title":"Panel Makers’ First Quarter Fab Utilization Rates Expected to Drop","year":2024,"lang":"en","type":"dataset","venue":"News Digital Object Group","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Drop (telecommunication); Drop out; Business; Environmental science; Econometrics; Computer science; Economics; Demographic economics; Geography; Telecommunications","score_opus":0.021627151545456382,"score_gpt":0.26276339173069074,"score_spread":0.24113624018523436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391757341","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.027456757,0.000109546,0.000073517396,0.00035529124,0.0007025492,0.0013573674,0.9645705,0.00020287302,0.005171589],"genre_scores_gemma":[0.103501394,0.000071008166,0.000041070252,0.0007618178,0.00020815537,0.00016201907,0.89328337,0.00008337787,0.0018878147],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99683094,0.00005596649,0.0005458909,0.0011027963,0.0007225595,0.0007418311],"domain_scores_gemma":[0.9983983,0.00008989436,0.00012376205,0.0009640266,0.000007332461,0.00041669759],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012201604,0.0006765989,0.00048196598,0.00014026393,0.0001749468,0.00073376397,0.0005972285,0.000377853,0.0041580275],"category_scores_gemma":[0.00014769555,0.00059967616,0.00025325525,0.00063865806,0.00025573224,0.00085349847,0.0007885326,0.00042937,0.026353927],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000049313723,0.00028237858,0.003960312,0.00010392133,0.00003204449,0.000087306864,0.00036871166,0.000027968406,0.0000428823,0.0000013055103,0.99263746,0.0024064253],"study_design_scores_gemma":[0.0002533002,0.00042172923,0.013003921,0.0000640325,0.000055556575,0.00001853973,0.0010550326,0.000030293604,0.000044207605,0.00018439452,0.98414534,0.0007236601],"about_ca_topic_score_codex":0.0010276122,"about_ca_topic_score_gemma":0.00206982,"teacher_disagreement_score":0.07604464,"about_ca_system_score_codex":0.0011936184,"about_ca_system_score_gemma":0.000021679596,"threshold_uncertainty_score":0.9996455},"labels":[],"label_agreement":null},{"id":"W4391875055","doi":"10.1139/cjce-2023-0345","title":"Assessing embodied carbon for reinforced concrete structures in Canada","year":2024,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"University of Toronto; Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs","keywords":"Embodied cognition; Greenhouse gas; Reinforced concrete; Carbon fibers; Embodied energy; Computer science; Environmental science; Architectural engineering; Engineering; Civil engineering; Structural engineering; Ecology; Artificial intelligence","score_opus":0.006443567438867903,"score_gpt":0.20388549138339207,"score_spread":0.19744192394452417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391875055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9949069,0.00036030967,0.00041844926,0.00011981155,0.00047536613,0.00010263678,0.000005597956,0.00000476473,0.0036061634],"genre_scores_gemma":[0.999643,0.0000029197952,0.00019448945,0.000044052584,0.000050679686,0.000002039161,0.0000011311776,0.000015815724,0.00004581541],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99918354,0.000009553972,0.00024988194,0.00009342131,0.00013284873,0.000330779],"domain_scores_gemma":[0.9994787,0.00006142845,0.0000355211,0.00007803945,0.0000049920227,0.0003413066],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022129051,0.0001051258,0.00014784237,0.0000935089,0.00002986609,0.000077587174,0.00012718306,0.00003601535,0.00027308136],"category_scores_gemma":[0.00011414135,0.00010081577,0.000042742904,0.00013146679,0.000029047482,0.0002800118,0.000010778711,0.00019147666,3.8153289e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000008019761,4.6075078e-7,0.06975159,0.00020747024,0.000043900494,0.00088280847,0.0010542427,0.9170007,0.007049018,0.00059630146,0.0012572767,0.002148229],"study_design_scores_gemma":[0.0011663724,0.00017540806,0.35858065,0.000517273,0.00007662357,0.00037534727,0.0027531462,0.5971284,0.0044981265,0.00095283514,0.032684952,0.0010908925],"about_ca_topic_score_codex":0.7941846,"about_ca_topic_score_gemma":0.98807025,"teacher_disagreement_score":0.3198723,"about_ca_system_score_codex":0.0035329405,"about_ca_system_score_gemma":0.0009945786,"threshold_uncertainty_score":0.92385167},"labels":[],"label_agreement":null},{"id":"W4391885676","doi":"10.1007/s11356-024-32359-1","title":"Spatial–temporal characteristics and driving factors’ contribution and evolution of agricultural non-CO2 greenhouse gas emissions in China: 1995–2021","year":2024,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"","keywords":"Greenhouse gas; Divisia index; Driving factors; Agriculture; Environmental science; Geography; Agricultural economics; Population; China; Agricultural productivity; Climate change; Natural resource economics; Physical geography; Environmental protection; Climatology; Energy consumption; Economics; Ecology; Energy intensity; Demography","score_opus":0.010062419458215803,"score_gpt":0.2780067024462525,"score_spread":0.2679442829880367,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391885676","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985068,0.00030146967,0.00008943419,0.00042659036,0.000056497633,0.00040711515,0.000037594218,0.000010393218,0.00016409931],"genre_scores_gemma":[0.9992217,0.00051571836,0.000039290215,0.000006326984,0.00002580934,0.000011698065,0.000016084834,0.000007503782,0.0001558843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99769485,0.00013540892,0.00027263572,0.00053157913,0.00083981664,0.0005256859],"domain_scores_gemma":[0.99943745,0.00005667585,0.00004727068,0.00015535933,0.000004977667,0.00029823757],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0016993723,0.00016504317,0.00017717009,0.00017512581,0.000535404,0.00011393981,0.00014053872,0.00009323633,0.0002552048],"category_scores_gemma":[0.00015026562,0.00012843376,0.000026916196,0.0005695221,0.0029016617,0.00080135383,0.00059115386,0.0003251938,0.000013514718],"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":[0.00001053048,0.00008252011,0.7902194,0.0000141638675,0.000002282943,0.000004839082,0.0010939727,0.000008732827,0.2016793,0.000051085204,0.000026227099,0.006806942],"study_design_scores_gemma":[0.00019677955,0.00018573603,0.990587,0.00004720975,0.000005750737,0.000013489008,0.0017055033,0.0022828227,0.004271357,0.00021343748,0.0003454088,0.00014552206],"about_ca_topic_score_codex":0.0032208785,"about_ca_topic_score_gemma":0.00029831324,"teacher_disagreement_score":0.20036758,"about_ca_system_score_codex":0.0013090221,"about_ca_system_score_gemma":0.00004014861,"threshold_uncertainty_score":0.9998119},"labels":[],"label_agreement":null},{"id":"W4391969647","doi":"10.3389/fevo.2024.1338742","title":"China contributed to low-carbon development: carbon emission increased but carbon intensity decreased","year":2024,"lang":"en","type":"article","venue":"Frontiers in Ecology and Evolution","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":18,"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":"Ministry of Land, Infrastructure and Transport","keywords":"Carbon fibers; Environmental science; Carbon cycle; Emission intensity; Intensity (physics); Greenhouse gas; China; Ecology; Chemistry; Materials science; Ecosystem; Geography; Biology; Physics","score_opus":0.0026215819218006193,"score_gpt":0.19259944844662727,"score_spread":0.18997786652482665,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391969647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9961865,0.00027485058,0.00021979956,0.0004536826,0.0007072841,0.0004936644,0.000004867926,0.00008066235,0.0015786709],"genre_scores_gemma":[0.9987015,0.000018693194,0.00061322865,0.000109223554,0.000031005187,0.00004343054,0.000031320298,0.000015271029,0.00043633295],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99828386,0.00015460707,0.0003029304,0.0005323186,0.00021333314,0.0005129446],"domain_scores_gemma":[0.9994582,0.000029053259,0.000041747135,0.00018926476,0.00000957819,0.0002721623],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007112865,0.00022593039,0.00029772893,0.00015697803,0.00012877327,0.000022135462,0.00012453637,0.00027386533,0.000033950422],"category_scores_gemma":[0.00029465748,0.00021886,0.00003618996,0.00033919516,0.00024646596,0.00012050052,0.00021697566,0.00029551622,0.000006889495],"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":[0.00028107414,0.00010981196,0.9927265,0.000030222727,0.000018524472,0.00004565235,0.00069020817,0.000103386206,0.0038596026,0.0000047037793,0.00039796805,0.0017323332],"study_design_scores_gemma":[0.0004955504,0.00010524063,0.96294045,0.00003951698,0.000022842936,0.000011364076,0.00038845543,0.032441907,0.0020155062,0.00093732396,0.00035546153,0.00024639905],"about_ca_topic_score_codex":0.0034803143,"about_ca_topic_score_gemma":0.000583021,"teacher_disagreement_score":0.03233852,"about_ca_system_score_codex":0.0025300183,"about_ca_system_score_gemma":0.000067437424,"threshold_uncertainty_score":0.8924852},"labels":[],"label_agreement":null},{"id":"W4392109482","doi":"10.1007/s11356-024-32489-6","title":"An interregional environmental assessment framework: revisiting environmental Kuznets curve in China","year":2024,"lang":"en","type":"article","venue":"Environmental Science and Pollution Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Acadia University","funders":"National Social Science Fund of China; National Natural Science Foundation of China","keywords":"Kuznets curve; Pollution haven hypothesis; Sustainable development; China; Environmental governance; Sustainability; Consumption (sociology); Per capita; Production (economics); Economics; Economic geography; Natural resource economics; Geography; Corporate governance; Economic growth; Macroeconomics; Population; Political science; Ecology","score_opus":0.02268013422318859,"score_gpt":0.3758649770354149,"score_spread":0.3531848428122263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392109482","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9935317,0.00069979206,0.00026135784,0.0011466525,0.00018602001,0.0008136563,0.000104672625,0.00006551744,0.0031906383],"genre_scores_gemma":[0.997218,0.0007696903,0.00085044774,0.00023656666,0.00015745242,0.00008920297,0.00006185921,0.00004798422,0.00056879275],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99239653,0.0006092081,0.00058820227,0.0017229083,0.003054608,0.0016285261],"domain_scores_gemma":[0.9982898,0.00013179456,0.00007084637,0.0007193197,0.0000015873105,0.0007866164],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0061092116,0.0004581475,0.0003111045,0.00060944096,0.0011821213,0.00048415933,0.0008637569,0.00022673684,0.007830043],"category_scores_gemma":[0.000071957016,0.000430753,0.00010511377,0.0010642642,0.0063739372,0.002624296,0.0013778856,0.0014277839,0.0007439981],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006384271,0.00090780645,0.65419,0.000032620206,0.00001536208,0.00018579511,0.003784897,0.0005234224,0.22162044,0.0010962563,0.00025228583,0.11732728],"study_design_scores_gemma":[0.00031462888,0.00040707862,0.9695537,0.00007551519,0.000009482044,0.00008955617,0.003461628,0.013736435,0.0016234983,0.002217076,0.007985191,0.00052617927],"about_ca_topic_score_codex":0.00028417297,"about_ca_topic_score_gemma":0.000018074916,"teacher_disagreement_score":0.31536373,"about_ca_system_score_codex":0.006078492,"about_ca_system_score_gemma":0.00009212497,"threshold_uncertainty_score":0.99981445},"labels":[],"label_agreement":null},{"id":"W4392150556","doi":"","title":"Life Cycle Assessment and Spatial Differentiation: What reception by the actors through a focus group?","year":2012,"lang":"fr","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"","keywords":"Focus (optics); Group (periodic table); Computer science; Focus group; Telecommunications; Business; Marketing; Chemistry; Physics","score_opus":0.015218753329730573,"score_gpt":0.27063690434869003,"score_spread":0.2554181510189595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392150556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92007726,0.0024849733,0.054278813,0.014695304,0.0017555093,0.0017329918,0.000055439617,0.000059253398,0.004860475],"genre_scores_gemma":[0.989881,0.006034346,0.00090652576,0.00077334436,0.00032486586,0.00013959044,0.00018120748,0.000042799908,0.0017163694],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9962676,0.000647002,0.0005962528,0.00087462703,0.00081365707,0.00080082566],"domain_scores_gemma":[0.99805987,0.00018078944,0.00034679248,0.0008419256,0.000008349937,0.0005622718],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007322958,0.0006308584,0.00045225144,0.000016585545,0.00060443033,0.0006345503,0.00046433296,0.0004939952,0.028976455],"category_scores_gemma":[0.00004878678,0.00044744395,0.00021167501,0.00010615297,0.0010831389,0.00220249,0.0018819816,0.000840957,0.00030233493],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00009932909,0.0020030085,0.45433548,0.00015663431,0.00021152919,0.0000018043653,0.007104512,0.00049896486,0.0032586562,0.0022207806,0.0047538765,0.52535546],"study_design_scores_gemma":[0.0005473242,0.000188481,0.9685098,0.00005179567,0.00018814366,0.0000067727137,0.0054993294,0.003860901,0.0004353225,0.0064740865,0.01357698,0.00066105125],"about_ca_topic_score_codex":0.019353334,"about_ca_topic_score_gemma":0.0018015273,"teacher_disagreement_score":0.5246944,"about_ca_system_score_codex":0.0019877765,"about_ca_system_score_gemma":0.000037933478,"threshold_uncertainty_score":0.99979776},"labels":[],"label_agreement":null},{"id":"W4392234873","doi":"10.1080/17538963.2024.2310938","title":"The impact of the U.S. Inflation reduction act on the restructuring of the Asia-Pacific energy industry Chain and China’s response strategies","year":2024,"lang":"en","type":"article","venue":"China Economic Journal","topic":"Environmental Impact and Sustainability","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":"Restructuring; China; Subsidy; Business; International trade; Supply chain; Economics; Finance; Market economy","score_opus":0.00534469781719883,"score_gpt":0.23050587328585662,"score_spread":0.2251611754686578,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392234873","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934212,0.00009585293,0.000002838758,0.003165828,0.000276496,0.00012476042,0.0000060504085,0.0000044705253,0.0029024782],"genre_scores_gemma":[0.99943316,0.000092739574,0.0000028236357,0.0000050213052,0.00008020152,0.0000023421946,2.2263777e-7,0.000009776146,0.00037368762],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988731,0.00039242714,0.00028656735,0.00013723377,0.00013024415,0.00018038572],"domain_scores_gemma":[0.9992734,0.00010870848,0.00022141573,0.0003474335,0.0000019017779,0.000047117646],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012839118,0.0001294331,0.000100619916,0.000024649846,0.0005630187,0.00016538998,0.00033191225,0.00008571527,0.00019792611],"category_scores_gemma":[0.00007056468,0.00005187392,0.00014944037,0.00008458213,0.0006581824,0.0003492389,0.00015797178,0.00061227416,0.0000017826878],"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":[0.0025101881,0.00016792475,0.3994588,0.000053204007,0.0004618869,0.0000072756443,0.031533502,0.34774548,0.12993328,0.013794559,0.004554495,0.06977939],"study_design_scores_gemma":[0.000084167055,0.00008203386,0.9769884,0.000028324886,0.000009462694,0.000120334145,0.0025977506,0.001368226,0.004838915,0.013624851,0.00019844073,0.00005913523],"about_ca_topic_score_codex":0.00038805712,"about_ca_topic_score_gemma":0.00003167425,"teacher_disagreement_score":0.57752955,"about_ca_system_score_codex":0.0007410665,"about_ca_system_score_gemma":0.00011631251,"threshold_uncertainty_score":0.43303418},"labels":[],"label_agreement":null},{"id":"W4392533370","doi":"","title":"Life Cycle Analysis of energy scenarios accounting for the temporal balance production-consumption","year":2019,"lang":"fr","type":"preprint","venue":"theses.fr (ABES)","topic":"Environmental Impact and Sustainability","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":"Impact","funders":"","keywords":"Production (economics); Consumption (sociology); Energy balance; Balance (ability); Energy consumption; Economics; Environmental science; Econometrics; Macroeconomics; Engineering; Physics; Psychology; Sociology; Social science; Thermodynamics","score_opus":0.019421073677464314,"score_gpt":0.26247887320163527,"score_spread":0.24305779952417095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392533370","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9862136,0.0011900417,0.0057119904,0.0020406896,0.0010051463,0.001564007,0.0002287837,0.000045095236,0.0020006245],"genre_scores_gemma":[0.9959619,0.0011035465,0.00071847753,0.0002749458,0.0002609576,0.00019646403,0.00013422483,0.0000533731,0.0012960822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99610716,0.0003013574,0.0009216051,0.0011252279,0.0007685071,0.00077614357],"domain_scores_gemma":[0.9964263,0.0006074136,0.0008948219,0.0017854966,0.00004864377,0.00023732039],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0018480286,0.0005656849,0.00095307594,0.00014887693,0.00041999968,0.00011270901,0.0010014876,0.00038043773,0.0032909017],"category_scores_gemma":[0.0008591766,0.00044825213,0.00077612954,0.00060974405,0.0011361757,0.0004986788,0.0010221826,0.00046890476,0.00020908313],"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":[0.00009338961,0.00035132328,0.6622137,0.00025498105,0.00089379237,6.691499e-7,0.0015364296,0.3272594,0.0014292323,0.001067669,0.00012776711,0.004771677],"study_design_scores_gemma":[0.00036288032,0.00007904117,0.84421223,0.000112456364,0.0022997137,0.0000027434796,0.0029594619,0.13188337,0.0021834879,0.00095520826,0.014319624,0.00062979787],"about_ca_topic_score_codex":0.02298687,"about_ca_topic_score_gemma":0.0016885857,"teacher_disagreement_score":0.19537601,"about_ca_system_score_codex":0.0010003911,"about_ca_system_score_gemma":0.00010809862,"threshold_uncertainty_score":0.9997969},"labels":[],"label_agreement":null},{"id":"W4392553600","doi":"10.3390/su16052219","title":"Review of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminants","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"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":"Greenhouse gas; Uncertainty analysis; Sensitivity (control systems); Environmental science; Climate change; Uncertainty quantification; Process (computing); Agriculture; Computer science; Engineering; Geography","score_opus":0.010549769434217838,"score_gpt":0.31515378985332826,"score_spread":0.30460402041911044,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392553600","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9957233,0.0015812195,0.0005465881,0.0010810245,0.000009883839,0.00089440285,0.0000842711,0.000043724685,0.000035595076],"genre_scores_gemma":[0.99858147,0.0007694469,0.00050643546,0.000043388718,0.000003972908,0.000032180607,0.000020862151,0.000010688572,0.000031542335],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978636,0.00039187382,0.0005557923,0.0006320894,0.00027001486,0.0002866148],"domain_scores_gemma":[0.9987231,0.00038435587,0.00011563381,0.00055778277,0.000046361136,0.00017276911],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020839479,0.00020830454,0.00055260496,0.0001413851,0.00006873706,0.000022283357,0.00009599897,0.00009313516,0.0001113],"category_scores_gemma":[0.0012684489,0.00017525205,0.000114496426,0.0010814631,0.00069882855,0.00022361815,0.0003288379,0.00014837876,9.79726e-7],"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":[0.000060317103,0.00022252089,0.9610284,0.0028477616,0.000047623904,0.000018144969,0.0017794154,0.0016529306,0.0033698592,0.000059858987,0.00003852113,0.028874664],"study_design_scores_gemma":[0.00010181913,0.00012709873,0.9803733,0.00062488514,0.00025299334,0.0000026803032,0.0013292029,0.0071617425,0.00450295,0.0049331402,0.00035230018,0.00023785146],"about_ca_topic_score_codex":0.01955226,"about_ca_topic_score_gemma":0.0032990237,"teacher_disagreement_score":0.028636811,"about_ca_system_score_codex":0.0007774363,"about_ca_system_score_gemma":0.00006366005,"threshold_uncertainty_score":0.9869766},"labels":[],"label_agreement":null},{"id":"W4392767278","doi":"10.18331/brj2024.11.1.2","title":"Critical impacts of energy targeting on the sustainability of advanced biobutanol separation","year":2024,"lang":"en","type":"article","venue":"Biofuel Research Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Vrije Universiteit Brussel","keywords":"Life-cycle assessment; Environmental science; Process engineering; Pinch analysis; Distillation; Energy consumption; Renewable energy; Air separation; Process integration; Biofuel; Efficient energy use; Sustainability; Waste management; Production (economics); Chemistry; Engineering; Chromatography","score_opus":0.02635747448930048,"score_gpt":0.3913552021190722,"score_spread":0.36499772762977173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392767278","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920575,0.00051273196,0.00038328435,0.0034788675,0.00008619221,0.00018722024,0.000010670986,0.00001006676,0.003273491],"genre_scores_gemma":[0.999403,0.00016317455,0.00013837687,0.000027727998,0.00005879205,0.000008083496,0.000001297031,0.000011380269,0.00018817914],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9970734,0.00066572917,0.0003908694,0.00022615609,0.0011074304,0.0005364159],"domain_scores_gemma":[0.99834675,0.0010037635,0.000055385553,0.00026858583,0.00011305552,0.00021248317],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0042313333,0.00011477986,0.0001484265,0.000103681065,0.00028847458,0.00009478508,0.00032231055,0.00007592111,0.001594754],"category_scores_gemma":[0.0047468087,0.000070326285,0.0001268499,0.0005298658,0.0013100014,0.00041720617,0.00022393024,0.0005536662,0.000020577309],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001340389,0.0019060704,0.18075597,0.0010007062,0.00010973872,0.00022599258,0.004876756,0.001842729,0.65904415,0.03676488,0.011486606,0.100646],"study_design_scores_gemma":[0.0007160869,0.004308544,0.23572764,0.00036138814,0.000035305562,0.00011563008,0.020065356,0.005554725,0.38692546,0.32044035,0.025186962,0.0005625701],"about_ca_topic_score_codex":0.00016833427,"about_ca_topic_score_gemma":0.000017027996,"teacher_disagreement_score":0.28367546,"about_ca_system_score_codex":0.0010367619,"about_ca_system_score_gemma":0.00016463858,"threshold_uncertainty_score":0.99931794},"labels":[],"label_agreement":null},{"id":"W4392856579","doi":"","title":"Intégration de la gestion en temps réel et des infrastructures vertes comme mesures d’adaptation aux changements climatiques","year":2023,"lang":"fr","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval; Institut National de la Recherche Scientifique","funders":"","keywords":"Adaptation (eye); Climate change; Computer science; Control (management); Climate change adaptation; Environmental resource management; Environmental science; Artificial intelligence; Geology; Psychology; Oceanography","score_opus":0.0233865943357019,"score_gpt":0.2933219437803142,"score_spread":0.2699353494446123,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392856579","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9058674,0.00066954264,0.057838034,0.021508738,0.00014272648,0.00053876935,0.00008656432,0.0002520233,0.013096222],"genre_scores_gemma":[0.970678,0.0034866885,0.019908661,0.00027385505,0.000021622289,0.000069825146,0.0004252679,0.000043305186,0.005092824],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9859176,0.01203803,0.00046556393,0.00050431036,0.0005073379,0.00056711317],"domain_scores_gemma":[0.99630165,0.0022885452,0.00026062914,0.000725272,0.00018791096,0.00023599203],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.009606449,0.00032293188,0.00024382625,0.0001537022,0.00067271193,0.00041299372,0.00054980686,0.00031997715,0.00091640285],"category_scores_gemma":[0.0032541433,0.00035031067,0.0001230822,0.0006386871,0.0011066126,0.0009409307,0.0005883607,0.00044515144,0.0001900738],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00004905115,0.0010541977,0.33165795,0.00038071486,0.00009746476,0.000014877371,0.19080885,0.0059981784,0.029469658,0.050368853,0.0067794197,0.38332078],"study_design_scores_gemma":[0.00040002874,0.0000035821647,0.88718194,0.00046578614,0.00004716555,0.000011402944,0.003068072,0.048106182,0.01868011,0.03537185,0.006327927,0.00033596167],"about_ca_topic_score_codex":0.015043946,"about_ca_topic_score_gemma":0.010968151,"teacher_disagreement_score":0.555524,"about_ca_system_score_codex":0.00091189635,"about_ca_system_score_gemma":0.0001008024,"threshold_uncertainty_score":0.9999969},"labels":[],"label_agreement":null},{"id":"W4392913737","doi":"10.32920/25412710","title":"Whole Building Life Carbon Assessment of an Existing, Retrofit, and New Construction for a Toronto Detached Home Case Study","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Renewable energy; Greenhouse gas; Electricity; Environmental economics; Photovoltaic system; Environmental science; Life-cycle assessment; Carbon fibers; Purchasing; Carbon neutrality; Environmental engineering; Engineering; Computer science; Production (economics); Operations management; Economics","score_opus":0.03643658095016331,"score_gpt":0.3547921170412914,"score_spread":0.31835553609112804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392913737","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945768,0.0001627482,0.00078423915,0.000062841755,0.00026705992,0.0018080324,0.00002804836,0.000066017055,0.002244211],"genre_scores_gemma":[0.96981657,0.0000075710977,0.029447326,0.000018986579,0.0000764929,0.00008219587,0.000010813967,0.00003249717,0.000507525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979546,0.00012469493,0.00048559977,0.00081135036,0.00032853274,0.00029519902],"domain_scores_gemma":[0.9988409,0.000059528145,0.00019036212,0.0005472755,0.0000081724165,0.00035370502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074978353,0.00032620662,0.00044985444,0.000032347867,0.00009542941,0.000098142475,0.000165972,0.00019008707,0.00024811924],"category_scores_gemma":[0.000064671156,0.00029736618,0.00009896047,0.00005687622,0.00021348364,0.000170342,0.0014428844,0.00029815012,6.0259543e-7],"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":[0.00010200646,0.0010261473,0.9486502,0.00089962006,0.0002726556,0.0003580092,0.0076106777,0.001914416,0.0082909865,0.00031954833,0.00012479798,0.03043095],"study_design_scores_gemma":[0.0046900213,0.0053726663,0.62988,0.00020767201,0.0016567064,0.0009898489,0.1879587,0.13211381,0.0020217046,0.032062534,0.0003333789,0.00271296],"about_ca_topic_score_codex":0.058204487,"about_ca_topic_score_gemma":0.0099911075,"teacher_disagreement_score":0.3187702,"about_ca_system_score_codex":0.0014219552,"about_ca_system_score_gemma":0.00009261224,"threshold_uncertainty_score":0.99994785},"labels":[],"label_agreement":null},{"id":"W4392913738","doi":"10.32920/25412710.v1","title":"Whole Building Life Carbon Assessment of an Existing, Retrofit, and New Construction for a Toronto Detached Home Case Study","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Renewable energy; Greenhouse gas; Electricity; Environmental economics; Environmental science; Photovoltaic system; Life-cycle assessment; Carbon fibers; Purchasing; Carbon neutrality; Baseline (sea); Environmental engineering; Engineering; Computer science; Production (economics); Operations management; Economics","score_opus":0.03643658095016331,"score_gpt":0.3547921170412914,"score_spread":0.31835553609112804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392913738","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945768,0.0001627482,0.00078423915,0.000062841755,0.00026705992,0.0018080324,0.00002804836,0.000066017055,0.002244211],"genre_scores_gemma":[0.96981657,0.0000075710977,0.029447326,0.000018986579,0.0000764929,0.00008219587,0.000010813967,0.00003249717,0.000507525],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979546,0.00012469493,0.00048559977,0.00081135036,0.00032853274,0.00029519902],"domain_scores_gemma":[0.9988409,0.000059528145,0.00019036212,0.0005472755,0.0000081724165,0.00035370502],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00074978353,0.00032620662,0.00044985444,0.000032347867,0.00009542941,0.000098142475,0.000165972,0.00019008707,0.00024811924],"category_scores_gemma":[0.000064671156,0.00029736618,0.00009896047,0.00005687622,0.00021348364,0.000170342,0.0014428844,0.00029815012,6.0259543e-7],"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":[0.00010200646,0.0010261473,0.9486502,0.00089962006,0.0002726556,0.0003580092,0.0076106777,0.001914416,0.0082909865,0.00031954833,0.00012479798,0.03043095],"study_design_scores_gemma":[0.0046900213,0.0053726663,0.62988,0.00020767201,0.0016567064,0.0009898489,0.1879587,0.13211381,0.0020217046,0.032062534,0.0003333789,0.00271296],"about_ca_topic_score_codex":0.058204487,"about_ca_topic_score_gemma":0.0099911075,"teacher_disagreement_score":0.3187702,"about_ca_system_score_codex":0.0014219552,"about_ca_system_score_gemma":0.00009261224,"threshold_uncertainty_score":0.99994785},"labels":[],"label_agreement":null},{"id":"W4392914644","doi":"10.1061/9780784485279.057","title":"A Systematic and Bibliometric Review of Greenhouse Gas Emissions in the Construction Phase of Residential Buildings","year":2024,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Greenhouse gas; Environmental science; Architectural engineering; Engineering; Geology","score_opus":0.014126245633626675,"score_gpt":0.30748962947981834,"score_spread":0.29336338384619165,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392914644","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9874961,0.010172938,0.00019840426,0.00029708704,0.000023131819,0.000553681,0.000003768401,0.00000958107,0.0012453279],"genre_scores_gemma":[0.9918591,0.0076449467,0.00034769817,0.000052213276,0.0000033261322,0.000012431614,7.380354e-7,0.0000039556526,0.00007562505],"study_design_codex":"systematic_review","study_design_gemma":"observational","domain_scores_codex":[0.998985,0.00012368266,0.00037366585,0.0001326699,0.00028767574,0.00009731368],"domain_scores_gemma":[0.9995476,0.00016217477,0.00006767751,0.00018159821,0.000002915588,0.000038040245],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010512859,0.000068364796,0.00019077687,0.0010857733,0.000024585652,0.000015745789,0.00011229718,0.000025624997,0.00076144206],"category_scores_gemma":[0.0002740833,0.000039541006,0.000050436218,0.009342454,0.00025400895,0.00018926235,0.00008121058,0.000066552355,0.0000055724313],"study_design_candidate":"systematic_review","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":[0.00008818483,0.0018936328,0.16416632,0.6801551,0.00012306184,0.000108135835,0.005832003,0.00003064199,0.06585881,0.0034708213,0.010605627,0.06766764],"study_design_scores_gemma":[0.007795136,0.0051578335,0.50153524,0.33820915,0.0027375568,0.0024591642,0.037898596,0.00849087,0.06172942,0.026254026,0.0051726787,0.0025603329],"about_ca_topic_score_codex":0.000439013,"about_ca_topic_score_gemma":0.000015196635,"teacher_disagreement_score":0.34194595,"about_ca_system_score_codex":0.00006112802,"about_ca_system_score_gemma":0.0000072928074,"threshold_uncertainty_score":0.83372563},"labels":[{"model":"gemma","categories":["bibliometrics"],"domain":null,"study_design":"not_applicable","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"},{"model":"gpt","categories":["bibliometrics"],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high"}],"label_agreement":"split"},{"id":"W4392938891","doi":"10.1007/s11367-024-02287-w","title":"Towards net-zero carbon buildings: Investigating the impact of early-stage structure design on building embodied carbon","year":2024,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon fibers; Stage (stratigraphy); Zero (linguistics); Net (polyhedron); Architectural engineering; Embodied cognition; Environmental science; Computer science; Engineering; Materials science; Mathematics; Geology; Geometry; Composite material; Artificial intelligence; Philosophy","score_opus":0.020912427137243773,"score_gpt":0.3300178081224977,"score_spread":0.3091053809852539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392938891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9944768,0.00009363438,0.00086512975,0.0015046049,0.00040895407,0.00021937216,0.000012722693,0.000012832782,0.0024059317],"genre_scores_gemma":[0.99807936,0.000027254122,0.0014450161,0.00018425693,0.0001964901,0.000003738722,9.925775e-7,0.000022016322,0.000040854215],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99754107,0.0002419018,0.0005667315,0.00018835925,0.0012134874,0.00024847107],"domain_scores_gemma":[0.99884164,0.00032634844,0.00041093788,0.0002427223,0.00003617929,0.00014219015],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001368585,0.00021171993,0.00022864518,0.00007804909,0.000089410365,0.00016985262,0.0009295159,0.00005836946,0.0002242467],"category_scores_gemma":[0.00019507667,0.000111673,0.00022230393,0.00017146539,0.00028034777,0.00023315793,0.0002919231,0.0005484724,0.0000012156702],"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":[0.00025217555,0.00019490946,0.18617424,0.000024896002,0.00079958385,0.000077790166,0.003527057,0.7220114,0.0753826,0.0014935402,0.0003657484,0.009696092],"study_design_scores_gemma":[0.0008277619,0.0013438221,0.82601833,0.00029561398,0.00011939765,0.00009381513,0.0012488171,0.12429309,0.014717203,0.03049572,0.00017601809,0.0003704174],"about_ca_topic_score_codex":0.0025466136,"about_ca_topic_score_gemma":0.000011711852,"teacher_disagreement_score":0.63984406,"about_ca_system_score_codex":0.0015437887,"about_ca_system_score_gemma":0.00020968393,"threshold_uncertainty_score":0.4553893},"labels":[],"label_agreement":null},{"id":"W4392987654","doi":"10.59490/jscms.2023.7145","title":"Decarbonization through modal shift using a synchromodal platform: A case study in the Great Lakes","year":2023,"lang":"en","type":"article","venue":"Journal of Supply Chain Management Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McMaster University","funders":"Transport Canada","keywords":"Modal shift; Context (archaeology); Sustainability; Externality; Carbon tax; Sustainable transport; Modal; Environmental economics; Business; Sustainable development; Transport engineering; Environmental resource management; Greenhouse gas; Environmental science; Engineering; Economics; Public transport; Microeconomics; Geography","score_opus":0.027596495815989195,"score_gpt":0.29478793096806793,"score_spread":0.2671914351520787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392987654","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970281,0.00000923384,0.0010453783,0.0003503692,0.00010959223,0.00064461486,0.0000012442389,0.0000125638035,0.0007988958],"genre_scores_gemma":[0.999171,0.000016353113,0.0005688592,0.00013854502,0.000029907882,0.00000851881,5.449243e-7,0.000008566265,0.000057707348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9974209,0.000118572614,0.0004419145,0.0002895138,0.0012522979,0.0004768211],"domain_scores_gemma":[0.99932486,0.000060987677,0.00019441827,0.00032350796,0.00000894378,0.00008730557],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003810038,0.00015938516,0.00017437957,0.00023533916,0.00041933722,0.00016492466,0.0007501647,0.000027790256,0.00010972271],"category_scores_gemma":[0.000050682662,0.000108154236,0.00006389964,0.0023172095,0.00056608004,0.0016857551,0.00045685668,0.00019114772,0.000017166469],"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":[0.0000319416,0.00044356522,0.9080476,0.000021880234,0.000014635676,0.010546176,0.02285448,0.05429553,0.00030990527,0.00014283696,0.000063729836,0.0032277016],"study_design_scores_gemma":[0.0010696825,0.00044534466,0.8952736,0.000035153695,0.00005505224,0.0012221424,0.069849856,0.027754627,0.000063988125,0.0038854356,0.00010102589,0.00024409711],"about_ca_topic_score_codex":0.0006067613,"about_ca_topic_score_gemma":0.00029930568,"teacher_disagreement_score":0.04699537,"about_ca_system_score_codex":0.00068778516,"about_ca_system_score_gemma":0.000023803967,"threshold_uncertainty_score":0.44104016},"labels":[],"label_agreement":null},{"id":"W4393147727","doi":"10.1111/jiec.13490","title":"Life cycle sustainability assessment for sustainable development goals","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Sustainability; Industrial ecology; Sustainable development; Life-cycle assessment; Business; Environmental resource management; Environmental economics; Environmental planning; Process management; Environmental science; Economics; Ecology; Production (economics); Biology","score_opus":0.017569445756656973,"score_gpt":0.29963130600796456,"score_spread":0.2820618602513076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393147727","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901533,0.00007672301,0.0017482013,0.0041291025,0.00064473297,0.00091538683,0.000003180399,0.000025613508,0.002303722],"genre_scores_gemma":[0.9956028,0.000007573137,0.0017196975,0.00028567069,0.0003491783,0.0000492521,0.0000032948972,0.000022155631,0.001960383],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9975677,0.00020206918,0.00089678634,0.00029416106,0.00035362566,0.00068562076],"domain_scores_gemma":[0.9985495,0.00045716795,0.0002574187,0.00019265492,0.00008837923,0.00045488751],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0031601463,0.00020892776,0.00042429153,0.0001281181,0.00023176995,0.000114136674,0.00033832603,0.00028438497,0.002326687],"category_scores_gemma":[0.0025749027,0.00017120654,0.00021719497,0.00029223305,0.0002637022,0.00065608416,0.0002757997,0.00052906293,0.000026567606],"study_design_candidate":"not_applicable","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015471729,0.0026486989,0.62069315,0.0005733083,0.0006937009,0.0015105814,0.0032202352,0.025473658,0.0007628302,0.0074444506,0.17669868,0.15873356],"study_design_scores_gemma":[0.0043415045,0.0033142192,0.23263252,0.00004698245,0.0002078171,0.00015354154,0.01531506,0.0016069333,0.001439913,0.037427273,0.7027517,0.00076256087],"about_ca_topic_score_codex":0.000054568864,"about_ca_topic_score_gemma":0.000026484176,"teacher_disagreement_score":0.526053,"about_ca_system_score_codex":0.005362541,"about_ca_system_score_gemma":0.0018136892,"threshold_uncertainty_score":0.99858534},"labels":[],"label_agreement":null},{"id":"W4393217347","doi":"10.1016/j.ecolind.2024.111940","title":"Climate change substitution factors for Canadian forest-based products and bioenergy","year":2024,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"HEC Montréal; École de Technologie Supérieure","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Greenhouse gas; Fossil fuel; Environmental science; Biofuel; Biomass (ecology); Bioenergy; Carbon sequestration; Life-cycle assessment; Climate change mitigation; Context (archaeology); Renewable energy; Waste management; Production (economics); Engineering; Ecology; Carbon dioxide; Geography; Economics","score_opus":0.022677064407027797,"score_gpt":0.24971034132472547,"score_spread":0.22703327691769767,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393217347","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9971598,0.00008932862,0.000026573403,0.0011301844,0.00017296101,0.00062191376,0.000053219013,0.00007046942,0.0006755468],"genre_scores_gemma":[0.99911445,0.00002418777,0.00018786828,0.00035845433,0.000043802887,0.00015220264,0.000052354713,0.000010792124,0.000055866298],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883866,0.000032831464,0.00013232842,0.0003946173,0.00011041716,0.0004911579],"domain_scores_gemma":[0.999445,0.00008271927,0.000024705849,0.00012569495,0.000001856285,0.00031998183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002585048,0.0001455557,0.00011705676,0.00009634617,0.000264643,0.00005387837,0.00010625781,0.00013632297,0.00068208063],"category_scores_gemma":[0.00013369427,0.0001058136,0.000046722624,0.00027196034,0.00040983365,0.00019406067,0.00006242838,0.00009698826,0.000058736772],"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":[0.000009689295,0.0000740253,0.9915503,0.000047864865,0.000005163775,0.00001817349,0.0001867743,0.00005652438,0.00011824063,0.0027907686,0.000331722,0.0048107356],"study_design_scores_gemma":[0.00009316411,0.00019116719,0.96927136,0.0000056761783,0.0000133011745,0.0000012967919,0.0000743052,0.0007893728,0.00070607883,0.0005460781,0.028150097,0.00015812439],"about_ca_topic_score_codex":0.004594387,"about_ca_topic_score_gemma":0.016703963,"teacher_disagreement_score":0.027818374,"about_ca_system_score_codex":0.00062554976,"about_ca_system_score_gemma":0.000029740559,"threshold_uncertainty_score":0.9321204},"labels":[],"label_agreement":null},{"id":"W4393233196","doi":"10.1038/s41598-024-57351-0","title":"Tracing two decades of carbon emissions using a network approach","year":2024,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"Ministero dell’Istruzione, dell’Università e della Ricerca; European Commission; Scuola IMT Alti Studi Lucca","keywords":"Tracing; Computer science; Computational biology; Biology","score_opus":0.017733839861212384,"score_gpt":0.2790615340205277,"score_spread":0.2613276941593153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393233196","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97843254,0.0003374006,0.0008332417,0.000017453893,0.0013504131,0.00023410474,7.548248e-7,0.0000532288,0.01874085],"genre_scores_gemma":[0.99398303,0.0000011918428,0.003997348,0.0000060413527,0.000047493435,0.000005949199,0.000005942013,0.000014429361,0.001938552],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99801105,0.00005458281,0.00040752458,0.0006479896,0.0004996116,0.00037925594],"domain_scores_gemma":[0.9991539,0.000026674008,0.000100463294,0.0005580332,0.0000051955794,0.00015571632],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016244507,0.0001322452,0.00015979988,0.000052877633,0.0002361799,0.00013200611,0.00011609074,0.00005246141,0.00039931154],"category_scores_gemma":[0.000059810813,0.00010878249,0.000107154454,0.0007571173,0.00059474236,0.0002383777,0.00020116937,0.00013423982,0.0000060139823],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000011733359,0.000320807,0.53044707,0.00022034398,0.0000400219,0.00057367847,0.0045313,0.2121889,0.23733754,0.0000945563,0.0034835457,0.010750518],"study_design_scores_gemma":[0.0004835223,0.00016042266,0.08171359,0.0007409551,0.0004113536,0.0026969714,0.004691449,0.57739025,0.18905048,0.098707214,0.041850794,0.002103026],"about_ca_topic_score_codex":0.00035215926,"about_ca_topic_score_gemma":0.000014117151,"teacher_disagreement_score":0.44873345,"about_ca_system_score_codex":0.00028655273,"about_ca_system_score_gemma":0.00004724209,"threshold_uncertainty_score":0.44360214},"labels":[],"label_agreement":null},{"id":"W4393246442","doi":"10.1016/j.resconrec.2024.107567","title":"Spatio-temporal metabolic rifts in urban construction material circularity","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Life-cycle assessment; Environmental impact assessment; Overconsumption; Circular economy; Natural resource economics; Work (physics); Resource (disambiguation); Material flow analysis; Geography; Industrial ecology; Environmental resource management; Economic geography; Resource efficiency; Business; Economics; Engineering; Sustainability; Ecology; Production (economics)","score_opus":0.009369398477355415,"score_gpt":0.23091802064954364,"score_spread":0.22154862217218824,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393246442","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99728996,0.00027656907,0.00012214619,0.00065141806,0.00018433366,0.00017492099,0.0000052919254,0.000059005626,0.0012363489],"genre_scores_gemma":[0.9987954,0.00006875466,0.00066109805,0.00016876518,0.000056016303,0.000008507628,0.000022971966,0.000009389806,0.000209132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99907506,0.0001018448,0.00023757698,0.0002646392,0.00015136249,0.00016952277],"domain_scores_gemma":[0.9997484,0.000040324176,0.000038628303,0.00010310425,0.000002401828,0.00006713372],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004048688,0.000106229374,0.00012748374,0.00005846742,0.00010381157,0.000117480355,0.000052244108,0.00008446286,0.00052367384],"category_scores_gemma":[0.000039627248,0.000096659904,0.00003397575,0.0002023723,0.00022684399,0.00029325,0.00006730746,0.00012896281,0.000024109502],"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":[0.000023142708,0.000019536126,0.98551244,0.000031466607,0.0000056640233,0.000009187021,0.0012807404,0.00006982535,0.0017050892,0.000291612,0.00007948278,0.010971808],"study_design_scores_gemma":[0.0002175186,0.00001849111,0.90556324,0.00003644468,0.000013698308,0.000018071409,0.0005528055,0.008866205,0.0009551325,0.0014882938,0.08210473,0.00016535426],"about_ca_topic_score_codex":0.0016627655,"about_ca_topic_score_gemma":0.00030231103,"teacher_disagreement_score":0.082025245,"about_ca_system_score_codex":0.00010032728,"about_ca_system_score_gemma":0.000008130168,"threshold_uncertainty_score":0.57338613},"labels":[],"label_agreement":null},{"id":"W4393410366","doi":"10.2139/ssrn.4746446","title":"Carbon Footprint Measurement and Mitigation Using AI","year":2024,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Wycliffe College","funders":"","keywords":"Carbon footprint; Footprint; Environmental science; Carbon fibers; Environmental resource management; Engineering; Greenhouse gas; Computer science; Geography; Geology; Archaeology; Oceanography; Algorithm","score_opus":0.009010964058527896,"score_gpt":0.240341591407486,"score_spread":0.23133062734895812,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393410366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940531,0.0016776213,0.002057961,0.00068033586,0.00009311337,0.00010786071,2.4723852e-7,0.000022151682,0.0013075718],"genre_scores_gemma":[0.999246,0.00038530794,0.000071289265,0.000038115777,0.000060911396,0.000001929034,2.6474393e-7,0.000012901007,0.00018327909],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9982506,0.000059170085,0.00015314041,0.00019034903,0.0003795884,0.0009671361],"domain_scores_gemma":[0.99977773,0.0000074407444,0.000027286436,0.00009001423,0.0000051088878,0.0000924142],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015861102,0.00010908483,0.00007944559,0.00003150483,0.00012951044,0.00008221868,0.00007587447,0.000042407024,0.000050202245],"category_scores_gemma":[0.000023990895,0.0000927219,0.000046854875,0.000098498014,0.000099845325,0.00012600994,0.000069735914,0.00073620974,0.000008253978],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008504562,0.00023860502,0.3829062,0.00008537656,0.00029368966,0.000042821186,0.0022675158,0.002940534,0.22263467,0.021477595,0.00003222963,0.36699572],"study_design_scores_gemma":[0.0009073721,0.00086067937,0.16891676,0.000121815836,0.0002108648,0.0020130211,0.0051524127,0.027808975,0.010827223,0.77823216,0.0040739104,0.00087478914],"about_ca_topic_score_codex":0.00039610406,"about_ca_topic_score_gemma":0.00064439565,"teacher_disagreement_score":0.7567546,"about_ca_system_score_codex":0.0052965493,"about_ca_system_score_gemma":0.00020157197,"threshold_uncertainty_score":0.9985219},"labels":[],"label_agreement":null},{"id":"W4393432798","doi":"10.5281/zenodo.6818437","title":"Supporting information for Parametrized regionalization of paper recycling life-cycle assessment","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Computer science; Operations research; Engineering; Economics; Microeconomics","score_opus":0.021368275207231516,"score_gpt":0.28871091097184437,"score_spread":0.26734263576461287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393432798","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043027136,0.00003197047,0.0060862005,0.0005438858,0.00021572389,0.0027080856,0.97739506,0.00025562436,0.008460722],"genre_scores_gemma":[0.006826911,0.00010758355,0.00054029695,0.00031077064,0.00003916862,8.026101e-7,0.99169564,0.00033153087,0.0001473099],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974884,0.0003702659,0.00065769214,0.0003626282,0.0007265492,0.0003945065],"domain_scores_gemma":[0.99848497,0.00007981362,0.0006174628,0.00056093483,0.00008358002,0.0001732118],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017658611,0.00020006191,0.00026085475,0.000179533,0.0016004009,0.00026098947,0.0008610092,0.00012393092,0.22715499],"category_scores_gemma":[0.002031331,0.00021865145,0.000117138836,0.00049869623,0.0002074335,0.00078255613,0.0017105443,0.0003378389,0.00049119256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008211855,0.00017653071,0.000015673286,0.00020216253,0.000029360133,0.0000010814036,0.00022462467,0.002197611,0.00011240791,0.00006119696,0.985641,0.011256244],"study_design_scores_gemma":[0.000548596,0.00027238697,0.0008428492,0.000013279629,0.000039589784,0.000009016671,0.00052411685,0.0006853782,0.00001948488,0.0002665277,0.9965622,0.00021660418],"about_ca_topic_score_codex":0.00014444192,"about_ca_topic_score_gemma":9.834401e-7,"teacher_disagreement_score":0.2266638,"about_ca_system_score_codex":0.00087340473,"about_ca_system_score_gemma":0.000009223427,"threshold_uncertainty_score":0.99969935},"labels":[],"label_agreement":null},{"id":"W4393517345","doi":"10.5281/zenodo.6833925","title":"Supporting information for Parametrized regionalization of paper recycling life-cycle assessment","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Computer science; Systems engineering; Process management; Data science; Engineering; Economics; Macroeconomics","score_opus":0.021368275207231516,"score_gpt":0.28871091097184437,"score_spread":0.26734263576461287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393517345","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043027136,0.00003197047,0.0060862005,0.0005438858,0.00021572389,0.0027080856,0.97739506,0.00025562436,0.008460722],"genre_scores_gemma":[0.006826911,0.00010758355,0.00054029695,0.00031077064,0.00003916862,8.026101e-7,0.99169564,0.00033153087,0.0001473099],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974884,0.0003702659,0.00065769214,0.0003626282,0.0007265492,0.0003945065],"domain_scores_gemma":[0.99848497,0.00007981362,0.0006174628,0.00056093483,0.00008358002,0.0001732118],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017658611,0.00020006191,0.00026085475,0.000179533,0.0016004009,0.00026098947,0.0008610092,0.00012393092,0.22715499],"category_scores_gemma":[0.002031331,0.00021865145,0.000117138836,0.00049869623,0.0002074335,0.00078255613,0.0017105443,0.0003378389,0.00049119256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008211855,0.00017653071,0.000015673286,0.00020216253,0.000029360133,0.0000010814036,0.00022462467,0.002197611,0.00011240791,0.00006119696,0.985641,0.011256244],"study_design_scores_gemma":[0.000548596,0.00027238697,0.0008428492,0.000013279629,0.000039589784,0.000009016671,0.00052411685,0.0006853782,0.00001948488,0.0002665277,0.9965622,0.00021660418],"about_ca_topic_score_codex":0.00014444192,"about_ca_topic_score_gemma":9.834401e-7,"teacher_disagreement_score":0.2266638,"about_ca_system_score_codex":0.00087340473,"about_ca_system_score_gemma":0.000009223427,"threshold_uncertainty_score":0.99969935},"labels":[],"label_agreement":null},{"id":"W4393520408","doi":"10.5281/zenodo.4698619","title":"Global Scenarios of Resource and Emission Savings from Material Efficiency in Residential Buildings and Cars","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resource (disambiguation); Resource efficiency; Architectural engineering; Environmental science; Transport engineering; Engineering; Computer science","score_opus":0.008504293155186207,"score_gpt":0.2240316714977691,"score_spread":0.2155273783425829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393520408","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6384543,0.00007239107,0.000008996753,0.00008890029,0.00003700663,0.00026377777,0.3601699,0.000033582946,0.00087111455],"genre_scores_gemma":[0.1937305,0.00039683311,0.00015418763,0.000089463654,0.00008578298,6.582422e-8,0.8049869,0.00040439988,0.00015187511],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981324,0.00031574137,0.00029615732,0.0005559519,0.00041182694,0.0002879263],"domain_scores_gemma":[0.99927497,0.000018556446,0.00013357695,0.00038409696,0.000018850762,0.00016997485],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048075215,0.00017788232,0.00022979676,0.00006592917,0.00050573726,0.00031288166,0.0005172625,0.00015241053,0.0107357865],"category_scores_gemma":[0.00044695046,0.00018645177,0.000029196108,0.0002923022,0.0005019339,0.00016670127,0.0035049983,0.00021142494,0.00010081291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011233649,0.00014282252,0.0004664221,0.00010439932,0.000009795921,0.000043833203,0.00038109548,0.000033194352,0.0039914926,0.0000029375267,0.98831064,0.00640104],"study_design_scores_gemma":[0.00038786986,0.00012442483,0.02207138,0.00007582663,0.000021048398,0.00003639061,0.00041045222,0.000026247495,0.00031409925,0.000057347734,0.97629714,0.00017774726],"about_ca_topic_score_codex":0.002737084,"about_ca_topic_score_gemma":0.00001735414,"teacher_disagreement_score":0.44481698,"about_ca_system_score_codex":0.0004174878,"about_ca_system_score_gemma":0.00000314773,"threshold_uncertainty_score":0.9901685},"labels":[],"label_agreement":null},{"id":"W4393578878","doi":"10.5281/zenodo.8215863","title":"Data to 'The updated and improved method for water scarcity impact assessment in LCA, AWARE2.0'","year":2025,"lang":"en","type":"dataset","venue":"University of Twente Research Information","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"","keywords":"Scarcity; Water scarcity; Environmental science; Computer science; Environmental economics; Environmental resource management; Natural resource economics; Economics; Geography; Archaeology; Agriculture; Microeconomics","score_opus":0.04030276132830326,"score_gpt":0.3915669522323945,"score_spread":0.3512641909040913,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393578878","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.017022097,0.0000044496237,0.003316109,0.0016187069,0.000047505026,0.0022619814,0.97550386,0.0000069101975,0.00021837212],"genre_scores_gemma":[0.0044401134,0.00008499027,0.0026959507,0.00007759918,0.000007908368,0.0000042461475,0.9923867,0.0000026773541,0.00029983697],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99825186,0.00030188196,0.00023907746,0.00026525807,0.0005024507,0.00043946452],"domain_scores_gemma":[0.9986505,0.00014578954,0.00008440853,0.00093573675,0.00004391746,0.00013962766],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0040208,0.00014720409,0.00022107299,0.00027279445,0.00029035087,0.000064261825,0.0011732625,0.00014475685,0.00045027188],"category_scores_gemma":[0.00019486545,0.00010886748,0.000052987678,0.00029369994,0.0002287035,0.0012591236,0.0036575233,0.0004822173,0.000017131144],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00018250397,0.00006216645,0.0012058722,0.00014590338,0.000024802539,8.759917e-7,0.00035994322,0.00037139273,0.00006346591,0.0000012047385,0.9937188,0.0038630762],"study_design_scores_gemma":[0.0005711853,0.00017747933,0.021019906,0.00002524017,0.000022606315,6.805991e-7,0.0016032225,0.013346405,0.00004636947,0.000029640483,0.96303225,0.00012501131],"about_ca_topic_score_codex":0.024852555,"about_ca_topic_score_gemma":0.0041728267,"teacher_disagreement_score":0.030686539,"about_ca_system_score_codex":0.001303198,"about_ca_system_score_gemma":0.00011176051,"threshold_uncertainty_score":0.98164105},"labels":[],"label_agreement":null},{"id":"W4393791696","doi":"10.5281/zenodo.4698618","title":"Global Scenarios of Resource and Emission Savings from Material Efficiency in Residential Buildings and Cars","year":2021,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Resource (disambiguation); Resource efficiency; Resource use; Architectural engineering; Environmental science; Business; Environmental economics; Transport engineering; Computer science; Engineering; Environmental resource management; Economics","score_opus":0.008504293155186207,"score_gpt":0.2240316714977691,"score_spread":0.2155273783425829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393791696","genre_codex":"empirical","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6384543,0.00007239107,0.000008996753,0.00008890029,0.00003700663,0.00026377777,0.3601699,0.000033582946,0.00087111455],"genre_scores_gemma":[0.1937305,0.00039683311,0.00015418763,0.000089463654,0.00008578298,6.582422e-8,0.8049869,0.00040439988,0.00015187511],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9981324,0.00031574137,0.00029615732,0.0005559519,0.00041182694,0.0002879263],"domain_scores_gemma":[0.99927497,0.000018556446,0.00013357695,0.00038409696,0.000018850762,0.00016997485],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00048075215,0.00017788232,0.00022979676,0.00006592917,0.00050573726,0.00031288166,0.0005172625,0.00015241053,0.0107357865],"category_scores_gemma":[0.00044695046,0.00018645177,0.000029196108,0.0002923022,0.0005019339,0.00016670127,0.0035049983,0.00021142494,0.00010081291],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011233649,0.00014282252,0.0004664221,0.00010439932,0.000009795921,0.000043833203,0.00038109548,0.000033194352,0.0039914926,0.0000029375267,0.98831064,0.00640104],"study_design_scores_gemma":[0.00038786986,0.00012442483,0.02207138,0.00007582663,0.000021048398,0.00003639061,0.00041045222,0.000026247495,0.00031409925,0.000057347734,0.97629714,0.00017774726],"about_ca_topic_score_codex":0.002737084,"about_ca_topic_score_gemma":0.00001735414,"teacher_disagreement_score":0.44481698,"about_ca_system_score_codex":0.0004174878,"about_ca_system_score_gemma":0.00000314773,"threshold_uncertainty_score":0.9901685},"labels":[],"label_agreement":null},{"id":"W4393811105","doi":"10.5281/zenodo.7145302","title":"Aggregates_LCIs_de_Bortoli","year":2022,"lang":"en","type":"dataset","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Chemistry; Geology","score_opus":0.007277622545512321,"score_gpt":0.22745965096192386,"score_spread":0.22018202841641155,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393811105","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0057798545,0.00071347464,0.00080992404,0.000904483,0.00028742888,0.001492842,0.98862725,0.00040197937,0.0009827773],"genre_scores_gemma":[0.0018319229,0.0010890161,0.0025953262,0.004973393,0.00014094639,0.0014493205,0.98321927,0.00014488354,0.0045559187],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99534875,0.00034609283,0.00072458136,0.0010757399,0.0011332433,0.0013715934],"domain_scores_gemma":[0.99632096,0.00010735143,0.00047599833,0.0024417052,0.000009188305,0.0006447807],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008958631,0.00081816886,0.00069591333,0.0002504631,0.00062046276,0.00017598421,0.0017424022,0.0006395062,0.1594124],"category_scores_gemma":[0.00024972306,0.0008540455,0.0004283853,0.0006634535,0.00046727533,0.00038899615,0.0027522058,0.0016451022,0.00054436876],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057805377,0.00047035358,0.011896937,0.00004690267,0.000037895938,0.00034158703,0.000041512536,0.0017294615,0.000073684096,0.00003257939,0.9820355,0.0032357539],"study_design_scores_gemma":[0.00029156037,0.00023076132,0.017536303,0.000012698171,0.00008790964,0.00017079063,0.000082492195,0.00065181614,0.0001112089,0.00065521384,0.9792806,0.0008886817],"about_ca_topic_score_codex":0.058046483,"about_ca_topic_score_gemma":0.008571514,"teacher_disagreement_score":0.15886803,"about_ca_system_score_codex":0.005237049,"about_ca_system_score_gemma":0.00012440766,"threshold_uncertainty_score":0.999391},"labels":[],"label_agreement":null},{"id":"W4393825589","doi":"10.5281/zenodo.6818398","title":"Supporting information for Parametrized regionalization of paper recycling life-cycle assessment","year":2022,"lang":"en","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Computer science; Geography; Environmental science; Process management; Business; Economics; Macroeconomics","score_opus":0.021368275207231516,"score_gpt":0.28871091097184437,"score_spread":0.26734263576461287,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393825589","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0043027136,0.00003197047,0.0060862005,0.0005438858,0.00021572389,0.0027080856,0.97739506,0.00025562436,0.008460722],"genre_scores_gemma":[0.006826911,0.00010758355,0.00054029695,0.00031077064,0.00003916862,8.026101e-7,0.99169564,0.00033153087,0.0001473099],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9974884,0.0003702659,0.00065769214,0.0003626282,0.0007265492,0.0003945065],"domain_scores_gemma":[0.99848497,0.00007981362,0.0006174628,0.00056093483,0.00008358002,0.0001732118],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017658611,0.00020006191,0.00026085475,0.000179533,0.0016004009,0.00026098947,0.0008610092,0.00012393092,0.22715499],"category_scores_gemma":[0.002031331,0.00021865145,0.000117138836,0.00049869623,0.0002074335,0.00078255613,0.0017105443,0.0003378389,0.00049119256],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00008211855,0.00017653071,0.000015673286,0.00020216253,0.000029360133,0.0000010814036,0.00022462467,0.002197611,0.00011240791,0.00006119696,0.985641,0.011256244],"study_design_scores_gemma":[0.000548596,0.00027238697,0.0008428492,0.000013279629,0.000039589784,0.000009016671,0.00052411685,0.0006853782,0.00001948488,0.0002665277,0.9965622,0.00021660418],"about_ca_topic_score_codex":0.00014444192,"about_ca_topic_score_gemma":9.834401e-7,"teacher_disagreement_score":0.2266638,"about_ca_system_score_codex":0.00087340473,"about_ca_system_score_gemma":0.000009223427,"threshold_uncertainty_score":0.99969935},"labels":[],"label_agreement":null},{"id":"W4393992982","doi":"10.1111/jiec.13480","title":"Substitution modeling can coherently be used in attributional life cycle assessments","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Substitution (logic); Industrial ecology; Life-cycle assessment; Economics; Computer science; Sustainability; Production (economics); Biology; Microeconomics; Ecology","score_opus":0.06245979109328865,"score_gpt":0.3206396636876466,"score_spread":0.258179872594358,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4393992982","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99617916,0.000031675692,0.00041504874,0.002014615,0.0008322074,0.00016780657,0.000012991404,0.0000086619275,0.00033780723],"genre_scores_gemma":[0.9994458,0.000013890183,0.000086036955,0.0001652165,0.00021386641,0.0000044111757,0.000007940017,0.000007711277,0.000055110537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847037,0.00017418303,0.0005518004,0.00016641915,0.0003413809,0.00029588025],"domain_scores_gemma":[0.99949485,0.000106800595,0.00012269827,0.00008423166,0.000010194902,0.00018124605],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010406892,0.000117812226,0.00024043802,0.000100812314,0.000068219495,0.00004085691,0.00016779965,0.00022635754,0.002100427],"category_scores_gemma":[0.00027427264,0.0001029437,0.00009749314,0.00023785063,0.0001397832,0.00038585774,0.00009222328,0.0006081722,0.000025661995],"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":[0.00017630727,0.00033484856,0.77632564,0.000006677797,0.000048701262,0.00019631605,0.00018242405,0.2177498,0.0012373728,0.0002688368,0.0011400393,0.0023330178],"study_design_scores_gemma":[0.00983579,0.0026717943,0.72344637,0.0001828952,0.0002130035,0.00039974847,0.002253807,0.23810863,0.0012569255,0.010822543,0.009869303,0.00093918946],"about_ca_topic_score_codex":0.00028781404,"about_ca_topic_score_gemma":0.00044977863,"teacher_disagreement_score":0.052879274,"about_ca_system_score_codex":0.0021146866,"about_ca_system_score_gemma":0.00028386718,"threshold_uncertainty_score":0.9988118},"labels":[],"label_agreement":null},{"id":"W4394676702","doi":"10.1007/978-3-031-45565-0_3","title":"Carbon Footprinting in Supply Chains: Measurement, Reporting, and Disclosure","year":2024,"lang":"en","type":"book-chapter","venue":"Springer series in supply chain management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Footprinting; Supply chain; Scope (computer science); Greenhouse gas; Automatic summarization; Environmental economics; Carbon footprint; Carbon fibers; Business; Computer science; Economics; Chemistry; Marketing","score_opus":0.013988999713109008,"score_gpt":0.22207597095516762,"score_spread":0.2080869712420586,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394676702","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.16867022,0.0015798406,0.000010520179,0.0010984698,0.00045737642,0.0021449686,0.000008169689,0.0001315929,0.8258988],"genre_scores_gemma":[0.6982041,0.0012687277,0.00042559154,0.00009562435,0.000081590304,0.00017525634,0.000011609138,0.00014091736,0.29959655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.995024,0.000050998824,0.0015712236,0.0014300065,0.0010621841,0.00086155307],"domain_scores_gemma":[0.99829686,0.000020489377,0.00058765954,0.00091800495,0.000008396995,0.00016857384],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0026409137,0.0007692007,0.0007355716,0.00034252577,0.00009570488,0.00013547995,0.00042386088,0.0003035961,0.0006112095],"category_scores_gemma":[0.0000852297,0.0007856355,0.00016737507,0.00016913582,0.000526129,0.00024100773,0.0023855723,0.0008303125,0.000035239416],"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":[0.000117239375,0.00017551029,0.9213758,0.002077649,0.00020072503,0.0029479782,0.0035422412,0.000503596,0.00020612264,0.044915173,0.00032066187,0.023617279],"study_design_scores_gemma":[0.0011897453,0.0002956875,0.7058811,0.0024354637,0.0002113465,0.00004838406,0.0035473108,0.0002854529,0.00025714614,0.055249196,0.2280235,0.0025756473],"about_ca_topic_score_codex":0.00085710443,"about_ca_topic_score_gemma":0.0034624746,"teacher_disagreement_score":0.5295339,"about_ca_system_score_codex":0.0023649607,"about_ca_system_score_gemma":0.000015909905,"threshold_uncertainty_score":0.99945945},"labels":[],"label_agreement":null},{"id":"W4394676825","doi":"10.1007/978-3-031-45565-0_12","title":"Green Technology Choice for Deep Decarbonization","year":2024,"lang":"en","type":"book-chapter","venue":"Springer series in supply chain management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Queen's University","funders":"","keywords":"Materials science; Process engineering; Environmental science; Engineering","score_opus":0.005968135814540829,"score_gpt":0.2189129426749159,"score_spread":0.21294480686037506,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394676825","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.003155075,0.0011834058,0.0013860989,0.0031680884,0.0007099866,0.0039558313,0.000047494945,0.00032587227,0.9860681],"genre_scores_gemma":[0.036107358,0.0006498907,0.0037630028,0.00022931391,0.00012128544,0.0004728661,0.00008680874,0.00016222622,0.9584072],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.997854,0.000010010564,0.00043783206,0.0008371567,0.00034114593,0.000519889],"domain_scores_gemma":[0.99908686,0.000027914935,0.00010743554,0.0006920503,0.000006166923,0.00007960419],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00029988083,0.0004570663,0.00035192058,0.0003098397,0.0000940394,0.000052144635,0.0004981398,0.00034097568,0.0018836125],"category_scores_gemma":[0.000015533484,0.00048123204,0.0001322187,0.00016629165,0.00043703083,0.00020194912,0.0013131829,0.00031628882,0.00032091627],"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":[0.0001963539,0.00022355778,0.061825752,0.00267018,0.00043173967,0.0004714883,0.0014420913,0.0027814028,0.00009604322,0.73841304,0.0027729021,0.18867543],"study_design_scores_gemma":[0.00030608295,0.00012944294,0.004307915,0.00011448442,0.00009151779,0.0000037123443,0.00027943958,0.00036018586,0.00006110287,0.1808576,0.81290764,0.00058086874],"about_ca_topic_score_codex":0.00011279486,"about_ca_topic_score_gemma":0.0012349818,"teacher_disagreement_score":0.81013477,"about_ca_system_score_codex":0.0013931823,"about_ca_system_score_gemma":0.0000057443,"threshold_uncertainty_score":0.9997639},"labels":[],"label_agreement":null},{"id":"W4394877279","doi":"10.1038/s41598-024-59779-w","title":"Author Correction: Tracing two decades of carbon emissions using a network approach","year":2024,"lang":"en","type":"erratum","venue":"Scientific Reports","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"European Commission; Scuola IMT Alti Studi Lucca; Istituto Nazionale di Alta Matematica \"Francesco Severi\"","keywords":"Tracing; Computer science; Carbon fibers; Data science; Algorithm; Operating system","score_opus":0.02089701070226084,"score_gpt":0.28866234703093485,"score_spread":0.267765336328674,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4394877279","genre_codex":"editorial","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.298705,0.002699003,0.00065879856,0.00009577487,0.35090804,0.0016638245,0.000013403827,0.00025667078,0.34499946],"genre_scores_gemma":[0.32542807,0.000007855832,0.0019540861,0.000011678665,0.0008141223,0.000029995901,0.00016295961,0.000080663696,0.6715106],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99528277,0.00014185919,0.0009993076,0.0015950472,0.001251775,0.000729255],"domain_scores_gemma":[0.99761206,0.000032733715,0.0006345421,0.0013762164,0.000020794052,0.00032367383],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002597117,0.00043582928,0.00056454696,0.00015116684,0.0005325072,0.00026263308,0.0002945385,0.00041366293,0.00079815683],"category_scores_gemma":[0.00020481521,0.000381655,0.00033260538,0.001335604,0.0011434695,0.00021141289,0.0006140279,0.001005691,0.000016628868],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000007241561,0.00016892429,0.014599502,0.00023560032,0.000040449857,0.00028406692,0.0012048305,0.02765453,0.0018157116,0.0000027580745,0.9526725,0.0013139037],"study_design_scores_gemma":[0.00017700632,0.00010981223,0.005213548,0.0013152949,0.0007502033,0.0020136174,0.0022057467,0.11794921,0.0027129892,0.01241547,0.8533154,0.0018216892],"about_ca_topic_score_codex":0.00095870986,"about_ca_topic_score_gemma":0.00009435972,"teacher_disagreement_score":0.3500939,"about_ca_system_score_codex":0.0011040539,"about_ca_system_score_gemma":0.00026148217,"threshold_uncertainty_score":0.99986356},"labels":[],"label_agreement":null},{"id":"W4395025881","doi":"10.1016/j.apenergy.2024.123277","title":"An ecological input-output CGE model for unveiling CO2 emission metabolism under China's dual carbon goals","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":37,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Natural Science Foundation of Fujian Province; Natural Sciences and Engineering Research Council of Canada; National Natural Science Foundation of China","keywords":"Computable general equilibrium; Dual (grammatical number); China; Carbon fibers; Environmental science; Ecology; Economics; Natural resource economics; Biology; Computer science; Geography; Macroeconomics","score_opus":0.012002852670586867,"score_gpt":0.2501226372299217,"score_spread":0.2381197845593348,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395025881","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97171146,0.00010598716,0.015991807,0.0001981684,0.00012338885,0.00025114056,0.000013357186,0.0001686162,0.011436094],"genre_scores_gemma":[0.99611425,0.00003254034,0.0012676521,0.00041791552,0.00011303576,0.00013565515,0.00005109167,0.00004162705,0.0018262122],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99824816,0.000040958064,0.00026842594,0.0006387736,0.0002881558,0.00051552395],"domain_scores_gemma":[0.9992833,0.00006081774,0.000038936545,0.00035010243,0.0000025561237,0.0002642854],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00032440375,0.00026811752,0.00025318537,0.000037902995,0.00017205454,0.000074859665,0.00021594911,0.00021170157,0.00025185762],"category_scores_gemma":[0.000011914939,0.00021593596,0.000103099985,0.00015505786,0.00020009828,0.00017568507,0.00021559864,0.00015962226,0.00001557321],"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":[0.00015502682,0.0010418309,0.001099744,0.000057317782,0.000059345264,0.000021539003,0.0015529358,0.7674304,0.15887538,0.043069776,0.0010643877,0.025572276],"study_design_scores_gemma":[0.0005431701,0.00014369805,0.017562773,0.00000670247,0.00007106737,0.0000058284213,0.0003745436,0.88033205,0.021558821,0.071133524,0.007676796,0.0005910272],"about_ca_topic_score_codex":0.00032134276,"about_ca_topic_score_gemma":0.00006338377,"teacher_disagreement_score":0.13731655,"about_ca_system_score_codex":0.00040343584,"about_ca_system_score_gemma":0.000026608186,"threshold_uncertainty_score":0.8805613},"labels":[],"label_agreement":null},{"id":"W4395038839","doi":"10.1038/s41597-024-03190-7","title":"RASMI: Global ranges of building material intensities differentiated by region, structure, and function","year":2024,"lang":"en","type":"article","venue":"Scientific Data","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":55,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"HORIZON EUROPE Framework Programme; International Institute for Applied Systems Analysis; Israel Science Foundation; Ministry of Economy, Trade and Industry; Canada Research Chairs; European Commission","keywords":"Demolition; Resource (disambiguation); Metric (unit); Environmental science; Function (biology); Computer science; Environmental resource management; Civil engineering; Engineering; Operations management","score_opus":0.014555602065107615,"score_gpt":0.24681710996722409,"score_spread":0.23226150790211647,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395038839","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99366015,0.00025821352,0.0008372546,0.000105188046,0.0011937462,0.0001291021,0.0036404897,0.000042705065,0.0001331686],"genre_scores_gemma":[0.99784076,0.000011005982,0.00015761655,0.00001933507,0.000020291474,0.0000010932187,0.0013294873,0.0000064219957,0.0006140141],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987663,0.00004678576,0.0001674795,0.0005583061,0.0002600625,0.00020105191],"domain_scores_gemma":[0.9992559,0.000014713071,0.000036652484,0.00061611756,0.000005215849,0.00007138467],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029233706,0.00011429251,0.00011579555,0.000024600105,0.00013502162,0.00028603157,0.00033467374,0.000047027654,0.000903465],"category_scores_gemma":[0.000043163836,0.0000919134,0.000018960249,0.00020273143,0.00088277634,0.00065297924,0.0009433261,0.00005573932,0.0000139394715],"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":[0.00019575616,0.00011901114,0.09482626,0.0002909756,0.00007914161,0.00001755782,0.0006152638,0.00001970983,0.43494856,0.00052397617,0.41368195,0.054681834],"study_design_scores_gemma":[0.0010100473,0.00027577174,0.68742895,0.00019366978,0.00034675084,0.00011392966,0.0022735277,0.012114868,0.12053693,0.037908744,0.13674326,0.0010535474],"about_ca_topic_score_codex":0.0003000745,"about_ca_topic_score_gemma":0.000044037843,"teacher_disagreement_score":0.59260267,"about_ca_system_score_codex":0.0001145846,"about_ca_system_score_gemma":0.000008778176,"threshold_uncertainty_score":0.9892309},"labels":[],"label_agreement":null},{"id":"W4395659041","doi":"10.1007/s40899-024-01089-0","title":"Water conservation pathways in agriculture in India to 2030: an input-output framework","year":2024,"lang":"en","type":"article","venue":"Sustainable Water Resources Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"","keywords":"Agriculture; Water conservation; Sustainable development; Conservation agriculture; Natural resource economics; Environmental planning; Environmental science; Nature Conservation; Environmental resource management; Business; Water resource management; Economics; Water resources; Ecology; Biology","score_opus":0.006566627286885267,"score_gpt":0.21560449649682598,"score_spread":0.20903786920994072,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4395659041","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98354477,0.000047791826,0.00022533831,0.0016707443,0.00007552206,0.0014107383,0.000002634332,0.000104333514,0.012918114],"genre_scores_gemma":[0.9821152,0.000012885721,0.00037422872,0.0011274979,0.00004040401,0.0002471499,0.000048861646,0.00003413576,0.015999652],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968472,0.00017411221,0.00041144216,0.0007741003,0.0004623123,0.0013308143],"domain_scores_gemma":[0.9992709,0.00001832345,0.000019068113,0.00047975275,0.000007051462,0.00020488707],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011197716,0.00031780754,0.0002306089,0.0003075743,0.00015489603,0.0003417347,0.00042740404,0.00015837184,0.0009680551],"category_scores_gemma":[0.000016278347,0.00020174499,0.00006187864,0.00060481665,0.00011319911,0.00076097995,0.0012083392,0.00035449874,0.00059009885],"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":[0.000514947,0.001942712,0.56508416,0.0026866454,0.00011146116,0.010675764,0.31119567,0.06212816,0.0048414217,0.008735751,0.007794378,0.024288934],"study_design_scores_gemma":[0.000497988,0.00029544896,0.4876672,0.00013217826,0.000023924653,0.0000054334487,0.044810325,0.0005714717,0.004235802,0.023542449,0.4374654,0.0007523829],"about_ca_topic_score_codex":0.0020134244,"about_ca_topic_score_gemma":0.000190854,"teacher_disagreement_score":0.42967102,"about_ca_system_score_codex":0.0017822079,"about_ca_system_score_gemma":0.000004106758,"threshold_uncertainty_score":0.9999452},"labels":[],"label_agreement":null},{"id":"W4396510331","doi":"10.1111/gcbb.13144","title":"Bio‐innovation for environmental sustainability: Asymmetric nexus between bioenergy technology budgets and ecological footprint","year":2024,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Nexus (standard); Bioenergy; Ecological footprint; Sustainability; Natural resource economics; Environmental resource management; Business; Environmental economics; Environmental impact assessment; Sustainable development; Economics; Ecology; Renewable energy; Engineering; Biology","score_opus":0.009058948394329512,"score_gpt":0.255876587852273,"score_spread":0.2468176394579435,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396510331","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99028325,0.00046555084,0.0027872291,0.0037498577,0.0001806186,0.0006272898,0.000055265966,0.0002400571,0.0016109009],"genre_scores_gemma":[0.9969598,0.00008017711,0.0008730387,0.00016992471,0.000105070845,0.0001927504,0.00009233113,0.000040425242,0.0014864882],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9973758,0.000073154944,0.0005122001,0.0009818125,0.0002882796,0.00076874887],"domain_scores_gemma":[0.99911445,0.00017912366,0.00008592658,0.00043418788,0.000010736798,0.00017558638],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000545547,0.0003710428,0.00034533857,0.00047264568,0.00027089863,0.00010548131,0.00029906147,0.00039158718,0.00026413225],"category_scores_gemma":[0.00023911032,0.0003221169,0.00011615072,0.0013813907,0.0010724181,0.00022523645,0.0007062597,0.00023187949,0.000043233886],"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":[0.000045134755,0.0003849883,0.27052033,0.00011326737,0.00008286131,0.000041382795,0.00012986337,0.00030940224,0.010350588,0.017795809,0.00038087284,0.6998455],"study_design_scores_gemma":[0.0009584517,0.0018798198,0.6374435,0.000016568127,0.00012002941,0.00005357182,0.0015834062,0.0023305486,0.031805795,0.091331564,0.23138826,0.0010885264],"about_ca_topic_score_codex":0.00015168762,"about_ca_topic_score_gemma":0.000040679202,"teacher_disagreement_score":0.698757,"about_ca_system_score_codex":0.0015303462,"about_ca_system_score_gemma":0.000032137337,"threshold_uncertainty_score":0.9999231},"labels":[],"label_agreement":null},{"id":"W4396524117","doi":"10.1007/978-3-031-54684-6_28","title":"Grey Prediction Based Input–Output Model for Analyzing Potential Energy-Related Emission Mitigation Pathways: A Case Study of Fujian","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental science and engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Computer science; Energy (signal processing); Environmental science; Statistics; Mathematics","score_opus":0.007884101642433127,"score_gpt":0.1888633806967448,"score_spread":0.18097927905431166,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396524117","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930861,0.00014517157,0.0036749493,0.000017112849,0.00015424915,0.0007325509,0.000111121895,0.00006705947,0.002011692],"genre_scores_gemma":[0.99253666,0.000029891435,0.00037593802,0.0000138169935,0.000029832097,0.000039823146,0.000039866532,0.000054825345,0.0068793576],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9975832,0.0000092081245,0.00049413735,0.0007993513,0.00072660856,0.0003874808],"domain_scores_gemma":[0.999218,0.000023950723,0.00014311535,0.0003301476,0.0000053973026,0.00027939436],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005504228,0.00039890286,0.00030092202,0.00020758311,0.000299974,0.00006609921,0.00019859771,0.00020636711,0.00011613185],"category_scores_gemma":[0.000017792892,0.00038726663,0.000117581214,0.00012028551,0.00047908354,0.00049289124,0.0003340321,0.00020065435,0.0000058428295],"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":[0.000054635722,0.0005926728,0.0059248894,0.00028391593,0.0001237631,0.00056006014,0.004992971,0.8109062,0.15695809,0.0004786331,0.0000958231,0.019028392],"study_design_scores_gemma":[0.00054262293,0.00043258266,0.0016215467,0.00009513434,0.00018276313,0.00012495654,0.0008545802,0.9935813,0.0011180126,0.00072854926,0.00026133785,0.00045664178],"about_ca_topic_score_codex":0.00009560955,"about_ca_topic_score_gemma":0.000010809919,"teacher_disagreement_score":0.18267512,"about_ca_system_score_codex":0.0010796878,"about_ca_system_score_gemma":0.00002734948,"threshold_uncertainty_score":0.9998579},"labels":[],"label_agreement":null},{"id":"W4396828591","doi":"10.1088/2515-7620/ad4a28","title":"Feed-in-tariff is key to Japan’s current biomass power’s viability, even with environmental externalities","year":2024,"lang":"en","type":"article","venue":"Environmental Research Communications","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":"Ministry of Education, Culture, Sports, Science and Technology","keywords":"Biomass (ecology); Externality; Tariff; Natural resource economics; Electricity generation; Environmental economics; Sustainability; Bioenergy; Raw material; Environmental science; Electricity; Pellets; Production (economics); Business; Economics; Agricultural economics; Biofuel; Waste management; Engineering; Power (physics); International trade; Ecology","score_opus":0.045440310984747725,"score_gpt":0.3685526972762702,"score_spread":0.3231123862915225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4396828591","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9818179,0.0026999332,0.00009065268,0.0046315547,0.00009124821,0.0016843942,0.00028930712,0.00009270652,0.008602323],"genre_scores_gemma":[0.9941418,0.00097639626,0.0010717006,0.0001908318,0.000028634451,0.000545345,0.00009910366,0.00008357423,0.002862619],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99424404,0.0007824514,0.0006134242,0.0011123689,0.0018750132,0.0013727249],"domain_scores_gemma":[0.9957413,0.0005092594,0.00005456109,0.002991847,0.0000035350263,0.00069950987],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0020249838,0.0004655514,0.00033882057,0.00033065712,0.0006789398,0.00026501223,0.0021194785,0.00014282524,0.008729236],"category_scores_gemma":[0.00007045952,0.00042403868,0.00016585653,0.00071598234,0.0027328504,0.0008611616,0.0042108335,0.0013141652,0.005176225],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00017939783,0.0038038273,0.904464,0.000106319676,0.00008486222,0.000053728054,0.020607807,0.00018031713,0.02965764,0.0005767071,0.004359402,0.03592598],"study_design_scores_gemma":[0.00045910303,0.00057435053,0.7379754,0.00012904861,0.000020791922,0.000026867574,0.0054511316,0.0006675382,0.0021160624,0.0026980843,0.24921706,0.0006645316],"about_ca_topic_score_codex":0.0011788135,"about_ca_topic_score_gemma":0.0005905265,"teacher_disagreement_score":0.24485767,"about_ca_system_score_codex":0.005641613,"about_ca_system_score_gemma":0.00006186868,"threshold_uncertainty_score":0.99998116},"labels":[],"label_agreement":null},{"id":"W4397001867","doi":"10.3390/f15050877","title":"Generic Carbon Budget Model for Assessing National Carbon Dynamics toward Carbon Neutrality: A Case Study of Republic of Korea","year":2024,"lang":"en","type":"article","venue":"Forests","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; Korea Forest Service; National Research Foundation of Korea; U.S. Forest Service; Ministry of Education, India; Ministry of Environment; Korea Environmental Industry and Technology Institute; Korea University; National Research Foundation","keywords":"Carbon fibers; Carbon neutrality; Environmental science; Environmental resource management; Greenhouse gas; Ecology; Computer science; Biology","score_opus":0.03486819361279325,"score_gpt":0.31184834199127104,"score_spread":0.2769801483784778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4397001867","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99718446,0.00005433275,0.00018737928,0.00007901998,0.0001015029,0.00072087586,0.00003960502,0.00003724102,0.0015955964],"genre_scores_gemma":[0.9993811,0.000002396237,0.00027955373,0.00001240165,0.000026041671,0.00007174056,0.000020813915,0.000029568366,0.00017635143],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982852,0.000067468034,0.00042769779,0.0004145893,0.00050447456,0.00030059458],"domain_scores_gemma":[0.99937946,0.00007579024,0.00011631565,0.0003032711,0.000023945538,0.00010122615],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005372996,0.00019186932,0.00026539856,0.00009023878,0.000047004796,0.000037515645,0.00016410695,0.00009560918,0.000009605493],"category_scores_gemma":[0.000070036214,0.00017757835,0.00010031989,0.00031552865,0.00018370328,0.00019834656,0.00018428979,0.00012745551,1.965555e-7],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005192608,0.0008863987,0.88935095,0.00035868047,0.00007676257,0.00019798453,0.008687963,0.09582859,0.0013536996,0.0002221747,0.000026969261,0.002957899],"study_design_scores_gemma":[0.00031795845,0.00023591053,0.1239921,0.0000131375145,0.000058281134,0.00006378314,0.0021788767,0.8705858,0.0002305902,0.0021576628,0.0000048235484,0.00016106182],"about_ca_topic_score_codex":0.011112554,"about_ca_topic_score_gemma":0.012240609,"teacher_disagreement_score":0.7747572,"about_ca_system_score_codex":0.0010795668,"about_ca_system_score_gemma":0.000089656336,"threshold_uncertainty_score":0.99547255},"labels":[],"label_agreement":null},{"id":"W4398645459","doi":"10.7910/dvn/0eaasp","title":"Nicholson Besco SDG5 Voluntary Carbon Market Supplementary Data - Project Scores","year":2022,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Turnover; Business; Economics; Management","score_opus":0.019561959898972473,"score_gpt":0.2645418387902622,"score_spread":0.24497987889128975,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398645459","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005457146,0.000006849234,8.476751e-7,0.000024358678,0.00065814523,0.001643557,0.9910475,0.000052932493,0.0011086394],"genre_scores_gemma":[0.000077268,0.0007522125,0.00026375096,0.00080098276,0.00017000562,0.00015572681,0.99578387,0.000070883114,0.0019253013],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99404055,0.0005785197,0.0007268196,0.002022907,0.0015413117,0.0010899063],"domain_scores_gemma":[0.99234134,0.00012552664,0.00034604178,0.006861625,0.0000049222053,0.00032052],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0014692298,0.0008183629,0.0006469333,0.00016750052,0.00044895665,0.00014179388,0.004482103,0.00027334242,0.87238276],"category_scores_gemma":[0.00020916142,0.00083433377,0.00015887972,0.00040493262,0.00061825255,0.0009678525,0.017197492,0.001210448,0.006345664],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022248656,0.0005388937,0.011702963,0.00015284601,0.000105031766,0.00041668903,0.00007872395,0.000017342143,0.000022388958,1.8765103e-7,0.98636085,0.00038161475],"study_design_scores_gemma":[0.0006924092,0.0002308805,0.004178232,0.000022995056,0.00034387538,0.0000426319,0.00081256963,0.00018316471,0.000011115207,0.000012098166,0.9925773,0.00089273375],"about_ca_topic_score_codex":0.09091569,"about_ca_topic_score_gemma":0.010086802,"teacher_disagreement_score":0.86603713,"about_ca_system_score_codex":0.0019997377,"about_ca_system_score_gemma":0.00015530978,"threshold_uncertainty_score":0.99941075},"labels":[],"label_agreement":null},{"id":"W4398765716","doi":"10.1016/j.buildenv.2024.111662","title":"Developing a systematic framework for integrating life cycle carbon emission assessment in urban building energy modeling","year":2024,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":20,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"Canada Excellence Research Chairs, Government of Canada","keywords":"Life-cycle assessment; Energy (signal processing); Carbon fibers; Environmental science; Architectural engineering; Systems engineering; Computer science; Engineering; Physics; Economics","score_opus":0.01490770993334776,"score_gpt":0.28209557654787437,"score_spread":0.2671878666145266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398765716","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.65390277,0.0009823233,0.34405836,0.00033291633,0.00009444891,0.00040406713,0.0000018975057,0.000054234548,0.00016898419],"genre_scores_gemma":[0.92083174,0.00021367641,0.0784294,0.00011753125,0.000057331843,0.00023881707,0.000003542626,0.00004361293,0.000064318956],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9977367,0.00011065663,0.0005635823,0.00069809996,0.0003531697,0.0005378058],"domain_scores_gemma":[0.9991868,0.0002533291,0.00007632053,0.00027367283,0.000001508307,0.00020837197],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009600785,0.00031994595,0.00037878923,0.00009253468,0.00021343945,0.0001391405,0.00017581474,0.00015851724,0.00004632256],"category_scores_gemma":[0.00014286919,0.00027686395,0.000092075796,0.00015601833,0.00008661059,0.00021766973,0.00033679456,0.00029402535,0.0000020660173],"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":[0.000139045,0.00069932314,0.1683343,0.021168547,0.00029766725,0.00013739598,0.01340677,0.5865468,0.058836397,0.10697128,0.00011005194,0.043352462],"study_design_scores_gemma":[0.0002117208,0.00007470214,0.0015120535,0.0030310059,0.000047406662,0.0000082109955,0.0015063654,0.9650379,0.0006451301,0.027240843,0.00025060342,0.00043405092],"about_ca_topic_score_codex":0.00048177838,"about_ca_topic_score_gemma":0.000009735781,"teacher_disagreement_score":0.37849116,"about_ca_system_score_codex":0.0018240297,"about_ca_system_score_gemma":0.00002820031,"threshold_uncertainty_score":0.99996835},"labels":[],"label_agreement":null},{"id":"W4398798334","doi":"10.7910/dvn/snetl6/7yqjcc","title":"NPRI_GHG_ASM_User_Guide.docx","year":2019,"lang":"en","type":"dataset","venue":"Harvard Dataverse","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; Western University","funders":"","keywords":"Replication (statistics); Greenhouse gas; Environmental data; Computer science; Database; World Wide Web; Manufacturing engineering; Engineering; Biology; Ecology","score_opus":0.013981612033127843,"score_gpt":0.24876736461413881,"score_spread":0.23478575258101098,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4398798334","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00094014534,6.81431e-7,0.000008919825,0.0000102914055,0.00050973456,0.0005510199,0.9945267,0.0000391062,0.0034134449],"genre_scores_gemma":[0.00011993905,0.00012909125,0.00016907598,0.00086121203,0.000095102405,0.00002272108,0.9925153,0.00003331052,0.006054231],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99728614,0.00011737791,0.0004057215,0.00084120745,0.0007023365,0.0006472237],"domain_scores_gemma":[0.99682087,0.000053013053,0.00019765295,0.0026413847,0.0000052082905,0.000281899],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00040571627,0.00048694471,0.00042865242,0.00005919359,0.00013569901,0.00009286749,0.0012123979,0.00036137243,0.48839822],"category_scores_gemma":[0.00014610944,0.0004587172,0.00018545274,0.00017290215,0.0003516063,0.0005495241,0.0020805614,0.00054131134,0.7678642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000024357321,0.00014945997,0.0015414264,0.000061913015,0.000024810332,0.00006934181,0.000023773351,0.00005566784,0.000029216384,0.000001345187,0.9977569,0.00026181867],"study_design_scores_gemma":[0.00032001277,0.000074106654,0.0036966274,0.000016234682,0.00008938053,0.0000128278825,0.00007099237,0.000026216634,0.000023425218,0.000031794836,0.995104,0.0005343652],"about_ca_topic_score_codex":0.0017808636,"about_ca_topic_score_gemma":0.00020724835,"teacher_disagreement_score":0.279466,"about_ca_system_score_codex":0.0008131008,"about_ca_system_score_gemma":0.000038900896,"threshold_uncertainty_score":0.99978644},"labels":[],"label_agreement":null},{"id":"W4399370191","doi":"10.1088/2634-4505/ad546a","title":"Mapping construction sector greenhouse gas emissions: a crucial step in sustainably meeting increasing housing demands","year":2024,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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 Waterloo; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto; Cement Association of Canada","keywords":"Greenhouse gas; Sustainability; Natural resource economics; Business; Environmental economics; Environmental resource management; Environmental planning; Environmental science; Economics; Ecology","score_opus":0.011837407268674,"score_gpt":0.28822075713100165,"score_spread":0.27638334986232765,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399370191","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99470246,0.0007458734,0.00055111974,0.0005397219,0.000120041484,0.0014381097,0.000021949229,0.00012707918,0.0017536327],"genre_scores_gemma":[0.997398,0.00028037836,0.0017230717,0.00005683141,0.00014296026,0.00008867766,0.00002091861,0.000070125774,0.00021900101],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9935902,0.0012952292,0.00077566836,0.0014053757,0.0012491102,0.0016844426],"domain_scores_gemma":[0.9980569,0.0006343347,0.00008614477,0.0006191568,0.00001850012,0.00058496435],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0046644127,0.00052334124,0.00047319004,0.00047827006,0.0009823899,0.00039156256,0.0003773303,0.00037246264,0.0015524471],"category_scores_gemma":[0.0013503447,0.000485503,0.00015078671,0.0011239317,0.0026810425,0.0012155639,0.001490238,0.0016037793,0.000022170616],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023773471,0.00017254672,0.87505496,0.00043363817,0.000023014509,0.00037161808,0.004189043,0.00067032385,0.0023246713,0.00018056788,0.00018803627,0.116153836],"study_design_scores_gemma":[0.0008380411,0.00031518677,0.8814889,0.00016560538,0.000018897712,0.00017537168,0.05191811,0.008091548,0.00049251365,0.044186175,0.011586399,0.00072322955],"about_ca_topic_score_codex":0.0020248867,"about_ca_topic_score_gemma":0.00018582233,"teacher_disagreement_score":0.11543061,"about_ca_system_score_codex":0.008174938,"about_ca_system_score_gemma":0.00021733681,"threshold_uncertainty_score":0.9997597},"labels":[],"label_agreement":null},{"id":"W4399390386","doi":"10.1021/acs.estlett.4c00294","title":"Exploring Outputs of the Intergovernmental Science-Policy Panel on Chemicals, Waste, and Pollution Prevention","year":2024,"lang":"en","type":"article","venue":"Environmental Science & Technology Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":12,"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":"","keywords":"Pollution prevention; Pollution; Environmental policy; Environmental planning; Science policy; Political science; Environmental science; Public administration; Business; Waste management; Engineering","score_opus":0.02051166396665935,"score_gpt":0.2375780653224701,"score_spread":0.21706640135581076,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399390386","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9930397,0.000049121965,0.00006631877,0.0052301656,0.00023400976,0.00036711426,0.000009909993,0.000070774426,0.00093285873],"genre_scores_gemma":[0.99914014,0.00005389078,0.00017076387,0.00040344507,0.000030052506,0.00003966582,7.975276e-7,0.00001502963,0.00014620592],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99720526,0.000029875135,0.00028788182,0.0007970419,0.0010599716,0.0006199889],"domain_scores_gemma":[0.99921244,0.000015848616,0.00009206422,0.00054137065,0.0000011775687,0.00013707575],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006640111,0.00023456685,0.00015711629,0.0003658815,0.0005377219,0.00006726152,0.00089920056,0.00006919886,0.00012708844],"category_scores_gemma":[0.00008671241,0.0001757455,0.00008158062,0.0018631009,0.0136798695,0.0012535179,0.0016069724,0.00032382217,0.00005710396],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009312743,0.00010110686,0.034922875,0.000007855603,0.0000044944427,0.0000034792035,0.00043128125,0.0001225349,0.9434511,0.0007411341,0.000034401884,0.020170406],"study_design_scores_gemma":[0.00018949284,0.00017847068,0.23182197,0.0000637336,0.000014806531,0.000037928916,0.0021007527,0.0003037672,0.7635267,0.0007349274,0.0007912839,0.00023617511],"about_ca_topic_score_codex":0.000057972513,"about_ca_topic_score_gemma":0.000003355441,"teacher_disagreement_score":0.1968991,"about_ca_system_score_codex":0.0031346763,"about_ca_system_score_gemma":0.000040366143,"threshold_uncertainty_score":0.9890043},"labels":[],"label_agreement":null},{"id":"W4399742303","doi":"10.1111/jiec.13506","title":"Delineating the embodied CO <sub>2</sub> emissions in Canada's exports: Routes, drivers, and paths","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; China Scholarship Council","keywords":"Industrial ecology; Final demand; Supply chain; Emission intensity; Business; Greenhouse gas; Openness to experience; Input–output model; Material flow analysis; Natural resource economics; Resource (disambiguation); Environmental science; Industrial organization; Sustainability; Economics; Production (economics); Engineering; Waste management","score_opus":0.01324913035239871,"score_gpt":0.23131602551396593,"score_spread":0.21806689516156721,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399742303","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9965529,0.00010481541,0.000008530878,0.0022162101,0.00041439332,0.00014818573,0.0000068894406,0.0000036230133,0.0005444489],"genre_scores_gemma":[0.99942774,0.00009182164,0.00003370477,0.0002542811,0.00014730768,0.0000027062254,0.0000014573742,0.000007575616,0.000033420474],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872357,0.00016163642,0.00048194543,0.0001427761,0.00021956519,0.000270486],"domain_scores_gemma":[0.99926287,0.00032383943,0.00015369708,0.00009704163,0.0000059738372,0.00015654946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082097354,0.00011251828,0.00020975065,0.00004302539,0.00011247844,0.000029837043,0.00015360699,0.00012108,0.00038311348],"category_scores_gemma":[0.00042683477,0.000074936055,0.00004813838,0.00014599808,0.0001565955,0.00017519105,0.00011771337,0.000627509,0.000004448576],"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":[0.000044314114,0.00004448954,0.9329499,0.0000040317022,0.00002237542,0.00054845115,0.00053071865,0.001465253,0.0030342804,0.000015002567,0.013909271,0.047431935],"study_design_scores_gemma":[0.002736026,0.0007933672,0.9378649,0.00014550333,0.000121853474,0.0008418771,0.015190571,0.0035866443,0.007022494,0.0012849757,0.029899359,0.00051243],"about_ca_topic_score_codex":0.05336068,"about_ca_topic_score_gemma":0.29151163,"teacher_disagreement_score":0.23815095,"about_ca_system_score_codex":0.0018279254,"about_ca_system_score_gemma":0.0005503571,"threshold_uncertainty_score":0.9529431},"labels":[],"label_agreement":null},{"id":"W4399765435","doi":"10.32920/26052436.v1","title":"Whole Building Life Cycle Assessment of New Multi-Unit Residential Buildings in Southern Ontario","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Unit (ring theory); Architectural engineering; Geography; Environmental resource management; Environmental science; Engineering; Psychology","score_opus":0.02199336830512512,"score_gpt":0.3066590396069164,"score_spread":0.28466567130179127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399765435","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990458,0.0000660783,0.0016064898,0.00040018078,0.00026948634,0.00067984464,0.000027205546,0.00006292312,0.0064297626],"genre_scores_gemma":[0.9432722,0.000006962232,0.024722867,0.00009659284,0.00005057708,0.000024856068,0.000017054683,0.000048183592,0.031760752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709755,0.00009607075,0.00073876395,0.0008843862,0.00065868255,0.00052455685],"domain_scores_gemma":[0.99870527,0.000038262562,0.00020515473,0.0007062294,0.0000054179727,0.00033965678],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007097921,0.00042523837,0.0005259892,0.00013685154,0.000060600025,0.00012143851,0.0006431488,0.00035110518,0.009070787],"category_scores_gemma":[0.00005703929,0.00040313293,0.00025665257,0.00019941649,0.00023928529,0.0001509357,0.0048740297,0.0012762476,0.00024166565],"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":[0.000035354373,0.0005170285,0.8794741,0.00024098868,0.00007199762,0.000046616107,0.012671962,0.09353775,0.010026932,0.000116645606,0.0010712397,0.0021893596],"study_design_scores_gemma":[0.0009153469,0.00008805295,0.9663204,0.00024085218,0.00009859289,0.0000028814147,0.0042008157,0.011021914,0.0010006356,0.013507722,0.0018152167,0.000787557],"about_ca_topic_score_codex":0.5619312,"about_ca_topic_score_gemma":0.31369042,"teacher_disagreement_score":0.24824074,"about_ca_system_score_codex":0.0024644744,"about_ca_system_score_gemma":0.00040055826,"threshold_uncertainty_score":0.99984205},"labels":[],"label_agreement":null},{"id":"W4399765514","doi":"10.32920/26052436","title":"Whole Building Life Cycle Assessment of New Multi-Unit Residential Buildings in Southern Ontario","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Unit (ring theory); Life-cycle assessment; Architectural engineering; Environmental science; Geography; Engineering; Psychology; Economics","score_opus":0.02199336830512512,"score_gpt":0.3066590396069164,"score_spread":0.28466567130179127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399765514","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990458,0.0000660783,0.0016064898,0.00040018078,0.00026948634,0.00067984464,0.000027205546,0.00006292312,0.0064297626],"genre_scores_gemma":[0.9432722,0.000006962232,0.024722867,0.00009659284,0.00005057708,0.000024856068,0.000017054683,0.000048183592,0.031760752],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99709755,0.00009607075,0.00073876395,0.0008843862,0.00065868255,0.00052455685],"domain_scores_gemma":[0.99870527,0.000038262562,0.00020515473,0.0007062294,0.0000054179727,0.00033965678],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007097921,0.00042523837,0.0005259892,0.00013685154,0.000060600025,0.00012143851,0.0006431488,0.00035110518,0.009070787],"category_scores_gemma":[0.00005703929,0.00040313293,0.00025665257,0.00019941649,0.00023928529,0.0001509357,0.0048740297,0.0012762476,0.00024166565],"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":[0.000035354373,0.0005170285,0.8794741,0.00024098868,0.00007199762,0.000046616107,0.012671962,0.09353775,0.010026932,0.000116645606,0.0010712397,0.0021893596],"study_design_scores_gemma":[0.0009153469,0.00008805295,0.9663204,0.00024085218,0.00009859289,0.0000028814147,0.0042008157,0.011021914,0.0010006356,0.013507722,0.0018152167,0.000787557],"about_ca_topic_score_codex":0.5619312,"about_ca_topic_score_gemma":0.31369042,"teacher_disagreement_score":0.24824074,"about_ca_system_score_codex":0.0024644744,"about_ca_system_score_gemma":0.00040055826,"threshold_uncertainty_score":0.99984205},"labels":[],"label_agreement":null},{"id":"W4399765530","doi":"10.32920/26052442.v1","title":"Translating Building Design Information Into Embodied Carbon Information: Gaps, Constraints, and Recommendations","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Embodied cognition; Business; Computer science; Knowledge management; Architectural engineering; Engineering; Artificial intelligence","score_opus":0.012864426015598576,"score_gpt":0.25999151556231775,"score_spread":0.2471270895467192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399765530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46227187,0.00037846345,0.1069586,0.014251168,0.0013436677,0.00482699,0.00014979062,0.00084269274,0.40897676],"genre_scores_gemma":[0.9583445,0.00008267183,0.040874846,0.00035986895,0.00002339919,0.00008277921,0.00014123374,0.000012147553,0.000078536796],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983879,0.00009846445,0.0006528545,0.00025762914,0.00030261854,0.00030057743],"domain_scores_gemma":[0.99926835,0.00009479974,0.00016819207,0.00029599783,0.000010053549,0.0001626263],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007485611,0.00031369028,0.0002395244,0.000118180506,0.00019223918,0.0003653137,0.0001899791,0.00026037864,0.0013747698],"category_scores_gemma":[0.00011937591,0.0002967456,0.000074502575,0.00014479565,0.00037104514,0.001181982,0.0010082164,0.0006360444,0.000111701855],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005463806,0.000079388454,0.012528908,0.0014669113,0.0001327239,0.000004895184,0.04592938,0.021120202,0.00050515524,0.005300416,0.0028574027,0.91002],"study_design_scores_gemma":[0.002872228,0.0005312206,0.028486669,0.0012190546,0.0007023256,0.000132662,0.04452863,0.43277577,0.005278687,0.41269678,0.065432414,0.0053435564],"about_ca_topic_score_codex":0.0010963418,"about_ca_topic_score_gemma":0.00005630572,"teacher_disagreement_score":0.90467644,"about_ca_system_score_codex":0.0007460487,"about_ca_system_score_gemma":0.00005731803,"threshold_uncertainty_score":0.99994844},"labels":[],"label_agreement":null},{"id":"W4399765575","doi":"10.32920/26052442","title":"Translating Building Design Information Into Embodied Carbon Information: Gaps, Constraints, and Recommendations","year":2024,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Embodied cognition; Information gap; Architectural engineering; Computer science; Business; Engineering; Computer security; Artificial intelligence","score_opus":0.012864426015598576,"score_gpt":0.25999151556231775,"score_spread":0.2471270895467192,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399765575","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.46227187,0.00037846345,0.1069586,0.014251168,0.0013436677,0.00482699,0.00014979062,0.00084269274,0.40897676],"genre_scores_gemma":[0.9583445,0.00008267183,0.040874846,0.00035986895,0.00002339919,0.00008277921,0.00014123374,0.000012147553,0.000078536796],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983879,0.00009846445,0.0006528545,0.00025762914,0.00030261854,0.00030057743],"domain_scores_gemma":[0.99926835,0.00009479974,0.00016819207,0.00029599783,0.000010053549,0.0001626263],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007485611,0.00031369028,0.0002395244,0.000118180506,0.00019223918,0.0003653137,0.0001899791,0.00026037864,0.0013747698],"category_scores_gemma":[0.00011937591,0.0002967456,0.000074502575,0.00014479565,0.00037104514,0.001181982,0.0010082164,0.0006360444,0.000111701855],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005463806,0.000079388454,0.012528908,0.0014669113,0.0001327239,0.000004895184,0.04592938,0.021120202,0.00050515524,0.005300416,0.0028574027,0.91002],"study_design_scores_gemma":[0.002872228,0.0005312206,0.028486669,0.0012190546,0.0007023256,0.000132662,0.04452863,0.43277577,0.005278687,0.41269678,0.065432414,0.0053435564],"about_ca_topic_score_codex":0.0010963418,"about_ca_topic_score_gemma":0.00005630572,"teacher_disagreement_score":0.90467644,"about_ca_system_score_codex":0.0007460487,"about_ca_system_score_gemma":0.00005731803,"threshold_uncertainty_score":0.99994844},"labels":[],"label_agreement":null},{"id":"W4399819615","doi":"10.1007/978-3-031-59733-6_1","title":"Introduction—What, Why, and How of Sustainable Energy","year":2024,"lang":"en","type":"book-chapter","venue":"The Springer series in sustainable energy policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"York University","funders":"","keywords":"Sustainable energy; Energy (signal processing); Environmental science; Engineering; Physics; Electrical engineering; Renewable energy","score_opus":0.004710031771801884,"score_gpt":0.20276872147922886,"score_spread":0.198058689707427,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399819615","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.012677713,0.013450341,0.00029456246,0.034653977,0.0010316889,0.0012950763,0.000032253596,0.0002955496,0.93626887],"genre_scores_gemma":[0.15330783,0.003933553,0.000033302287,0.00046107825,0.00071920437,0.00010112051,0.000018719486,0.00014533034,0.84127986],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","domain_scores_codex":[0.9962375,0.00008065069,0.0005677514,0.0010825447,0.000631563,0.0013999676],"domain_scores_gemma":[0.99792457,0.00009133233,0.00034552428,0.0013257517,0.00006263568,0.00025019824],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006821023,0.0008139024,0.000797859,0.0005192837,0.0003522987,0.00042032765,0.0007142643,0.00046719305,0.0010104983],"category_scores_gemma":[0.00008218066,0.00069750956,0.00023687919,0.0005055458,0.0023084455,0.0016610407,0.002821885,0.00058416935,0.000015979798],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012890258,0.00006953237,0.00016676057,0.00046448567,0.00009168154,0.0004052015,0.0008868348,0.0007864475,0.000081726,0.9796748,0.013792953,0.0034506358],"study_design_scores_gemma":[0.00017245386,0.00018725586,0.00022350262,0.000036559602,0.000053093914,0.000057371413,0.008243967,0.000026419691,0.00027783064,0.20955382,0.7806457,0.0005219711],"about_ca_topic_score_codex":0.013762682,"about_ca_topic_score_gemma":0.0015633794,"teacher_disagreement_score":0.77012104,"about_ca_system_score_codex":0.002901427,"about_ca_system_score_gemma":0.00019632322,"threshold_uncertainty_score":0.9999027},"labels":[],"label_agreement":null},{"id":"W4399927816","doi":"10.1029/2023jg007769","title":"Interannual Variation and Trend of Carbon Budget Observed for More Than Two Decades at Takayama in a Cool‐Temperate Deciduous Forest in Central Japan","year":2024,"lang":"en","type":"article","venue":"Journal of Geophysical Research Biogeosciences","topic":"Environmental Impact and Sustainability","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":"Japan Society for the Promotion of Science; Ministry of Agriculture, Forestry and Fisheries; York University; National Institute of Advanced Industrial Science and Technology","keywords":"Temperate deciduous forest; Deciduous; Temperate climate; Environmental science; Variation (astronomy); Temperate forest; Temperate rainforest; Climatology; Physical geography; Atmospheric sciences; Geography; Geology; Ecology; Biology; Physics; Astrophysics; Ecosystem","score_opus":0.032398881131343156,"score_gpt":0.3404281110736686,"score_spread":0.30802922994232546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4399927816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988201,0.00015716317,0.000012904984,0.00056903926,0.00008203879,0.0002763285,0.000024315617,0.0000030447416,0.000055014647],"genre_scores_gemma":[0.999573,0.00006997459,0.00017610095,0.000012333499,0.000052012903,0.000010814721,0.0000024320734,0.000007073817,0.000096268435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99764013,0.00021172538,0.0004550713,0.00029801016,0.000833694,0.00056135026],"domain_scores_gemma":[0.99905384,0.0005083688,0.000089873916,0.00010981415,0.000024244302,0.00021389194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0020341468,0.00012688294,0.0002661065,0.00025563146,0.00008532388,0.00009573471,0.00032524916,0.00005725093,0.000025904092],"category_scores_gemma":[0.00045773448,0.00009091828,0.000092333896,0.00087204884,0.0011180652,0.000564116,0.00024662228,0.00030745644,0.0000012630701],"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":[0.00038983632,0.00025657608,0.94586104,0.00004486149,0.0000074333707,0.000025783307,0.0053199083,0.00012410723,0.04395433,0.00008714676,0.000021624446,0.003907353],"study_design_scores_gemma":[0.0005486444,0.000873977,0.97870934,0.00008769518,0.000005813816,0.000009657571,0.0016582187,0.011763675,0.0030369826,0.0031521805,0.000063146246,0.0000906583],"about_ca_topic_score_codex":0.017162362,"about_ca_topic_score_gemma":0.012985784,"teacher_disagreement_score":0.040917348,"about_ca_system_score_codex":0.00057956483,"about_ca_system_score_gemma":0.00007881173,"threshold_uncertainty_score":0.98938245},"labels":[],"label_agreement":null},{"id":"W4400135434","doi":"10.2166/wcc.2024.185","title":"The road to net-zero in Canada through regionalization and segmentation of GHG emissions and the role of water resources management","year":2024,"lang":"en","type":"article","venue":"Journal of Water and Climate Change","topic":"Environmental Impact and Sustainability","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 Prince Edward Island","funders":"Environment and Climate Change Canada","keywords":"Greenhouse gas; Environmental science; Zero emission; Net (polyhedron); Water resources; Zero (linguistics); Segmentation; Natural resource economics; Business; Environmental resource management; Water resource management; Economics; Computer science; Engineering; Geology; Waste management; Oceanography; Ecology; Mathematics; Artificial intelligence","score_opus":0.010271039583195044,"score_gpt":0.23019674669297513,"score_spread":0.2199257071097801,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400135434","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99634725,0.0009134229,0.000007796349,0.0021893948,0.000028645587,0.00016544406,0.000003423465,7.53961e-7,0.0003438714],"genre_scores_gemma":[0.9972765,0.0025075108,0.000028584183,0.00011415632,0.000009993109,0.0000054426373,0.0000015297235,0.0000035746793,0.000052701802],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993802,0.000052132087,0.00020982337,0.00007079917,0.00016594559,0.000121134704],"domain_scores_gemma":[0.999842,0.000022855005,0.000038923263,0.000055025783,0.0000038360686,0.000037398335],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000386692,0.000057414614,0.00009394865,0.000017151975,0.000075462456,0.000024138719,0.00005319466,0.000013204108,0.000035944504],"category_scores_gemma":[0.0000025770432,0.000023393555,0.000015981148,0.00003782663,0.0001161643,0.00015746408,0.00013385114,0.000043994296,2.986981e-7],"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":[0.0009894816,0.00011224047,0.6421466,0.0005833482,0.00011381672,0.000050486728,0.22429495,0.00043958848,0.03116133,0.0005017739,0.0005514789,0.099054955],"study_design_scores_gemma":[0.0018044215,0.000326791,0.84543467,0.00036248498,0.00014996498,0.00008018008,0.071851715,0.0012309155,0.04106977,0.013965579,0.023473479,0.000250065],"about_ca_topic_score_codex":0.033497185,"about_ca_topic_score_gemma":0.016838143,"teacher_disagreement_score":0.20328808,"about_ca_system_score_codex":0.00009639329,"about_ca_system_score_gemma":0.000002313672,"threshold_uncertainty_score":0.97293884},"labels":[],"label_agreement":null},{"id":"W4400306033","doi":"10.3808/jeil.202400128","title":"Exploring the Role of Airtightness for Achieving Carbon Neutrality in Canadian Residential Buildings: A Streamlined Life Cycle Assessment","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Informatics Letters","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Queen's University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon neutrality; Life-cycle assessment; Architectural engineering; Neutrality; Environmental science; Engineering; Greenhouse gas; Political science; Economics; Geology; Production (economics)","score_opus":0.012021516376982153,"score_gpt":0.24294469494211018,"score_spread":0.23092317856512803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400306033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9976145,0.00008698283,0.00017509285,0.0010966358,0.00021967672,0.00037500943,0.0000328789,0.0000060942093,0.00039313844],"genre_scores_gemma":[0.99842083,0.000067119836,0.0010688524,0.00032374155,0.000066875065,0.000020316636,0.0000049481723,0.000019038715,0.000008264121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99782133,0.00007445432,0.0010214375,0.000120038254,0.00049408723,0.0004686381],"domain_scores_gemma":[0.9990494,0.00014037831,0.00030075,0.00022747013,0.0000025471973,0.00027945268],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001223456,0.00020024808,0.0002784161,0.00016399617,0.00011102717,0.000079936435,0.000379789,0.000050159946,0.00012541372],"category_scores_gemma":[0.000046833058,0.00015200897,0.00019711023,0.00016880463,0.0002692224,0.0012017732,0.00014096593,0.00037696993,0.0000034558802],"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":[0.00020683189,0.00034734083,0.6948428,0.00035594194,0.00023814001,0.00006065685,0.023101294,0.15773547,0.097767144,0.00028570334,0.00023340584,0.024825273],"study_design_scores_gemma":[0.0008189407,0.00029059846,0.94306976,0.0001658441,0.00012049879,0.00004538618,0.014049802,0.028538376,0.006048481,0.0003267234,0.006133961,0.00039161585],"about_ca_topic_score_codex":0.011937908,"about_ca_topic_score_gemma":0.0032988384,"teacher_disagreement_score":0.24822697,"about_ca_system_score_codex":0.0018353454,"about_ca_system_score_gemma":0.00006988568,"threshold_uncertainty_score":0.99464166},"labels":[],"label_agreement":null},{"id":"W4400312105","doi":"10.1016/j.resconrec.2024.107801","title":"Spatially and temporally differentiated characterization factors for supply risk of abiotic resources in life cycle assessment","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"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","funders":"EIT RawMaterials","keywords":"Life-cycle assessment; Product (mathematics); Environmental economics; Raw material; Resource (disambiguation); Supply chain; Production (economics); Natural resource economics; Environmental science; Industrial ecology; Supply and demand; Environmental resource management; Business; Economics; Computer science; Sustainability; Ecology","score_opus":0.010036725849942515,"score_gpt":0.24655252095908473,"score_spread":0.23651579510914222,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400312105","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99814993,0.00010122963,0.0006510766,0.00050504785,0.00004465453,0.00040518027,0.000034587374,0.00003080344,0.00007745995],"genre_scores_gemma":[0.9991778,0.0002030749,0.00032877506,0.00006896806,0.00001462034,0.000010457961,0.00006244584,0.0000137222805,0.00012010931],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989501,0.000114254944,0.00034979644,0.00027476903,0.00015340223,0.00015763527],"domain_scores_gemma":[0.9994281,0.00025960023,0.00012473522,0.00009596244,0.0000058117043,0.000085790125],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004177546,0.00013013778,0.00018475179,0.00007627428,0.000112680136,0.000085361615,0.00005785955,0.00008356406,0.00008114236],"category_scores_gemma":[0.0001394342,0.00010670116,0.00003948685,0.00014838928,0.00016549203,0.00021388936,0.00007325291,0.00010994213,7.3762584e-7],"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":[0.00003362716,0.000044576966,0.9775417,0.00012219483,0.000014885597,6.8127815e-7,0.0037147454,0.0001924222,0.012766448,0.000015616135,0.0000036410188,0.0055494634],"study_design_scores_gemma":[0.00029645348,0.00007556493,0.9279687,0.00007487721,0.000025373623,5.12824e-7,0.0006996339,0.06920447,0.0003448663,0.0002463551,0.00095001125,0.000113221045],"about_ca_topic_score_codex":0.0008393708,"about_ca_topic_score_gemma":0.00021646172,"teacher_disagreement_score":0.06901205,"about_ca_system_score_codex":0.00007488608,"about_ca_system_score_gemma":0.000010872514,"threshold_uncertainty_score":0.4351147},"labels":[],"label_agreement":null},{"id":"W4400317229","doi":"10.1088/1755-1315/1363/1/012098","title":"Carbon-storing Prefabricated Retrofit Panel Designs","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Natural Resources Canada","funders":"","keywords":"Constructability; Building envelope; Embodied energy; Engineering; Architectural engineering; Carbon fibers; Civil engineering; Construction engineering; Environmental science; Computer science; Thermal; Systems engineering","score_opus":0.027687771411952465,"score_gpt":0.2288153640397625,"score_spread":0.20112759262781002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400317229","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98210734,0.0002698231,0.000087412955,0.00024095779,0.00020687688,0.00029694987,0.000018228173,0.00013098182,0.016641445],"genre_scores_gemma":[0.9956748,0.000326931,0.0006062228,0.000080499914,0.00003538418,0.000023870407,0.000008688338,0.000020613983,0.0032230052],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.997264,0.000051856092,0.0002690733,0.0009150513,0.0006994985,0.0008005163],"domain_scores_gemma":[0.9990254,0.000033048364,0.000046193905,0.00040982707,0.0000026479988,0.00048286747],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005188735,0.00031606317,0.00020834134,0.000076489545,0.00047449046,0.0003246831,0.00041883363,0.000088870875,0.0021701085],"category_scores_gemma":[0.000037140617,0.0002779576,0.00005450603,0.00046632823,0.0035138158,0.0014956684,0.00063427235,0.00026772922,0.0002142842],"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":[0.000049488597,0.000091832284,0.07695084,0.00004211832,0.000013880049,0.00008514444,0.0026202851,0.00014674423,0.86864877,0.0007085676,0.000051377923,0.050590932],"study_design_scores_gemma":[0.00027169503,0.0005077995,0.75494474,0.00005124363,0.00003685267,0.00017276448,0.002830307,0.0061201006,0.21950424,0.001128872,0.01354845,0.0008829648],"about_ca_topic_score_codex":0.000389448,"about_ca_topic_score_gemma":0.000048600843,"teacher_disagreement_score":0.6779939,"about_ca_system_score_codex":0.00041051168,"about_ca_system_score_gemma":0.000049803348,"threshold_uncertainty_score":0.9999673},"labels":[],"label_agreement":null},{"id":"W4400317270","doi":"10.1088/1755-1315/1363/1/012017","title":"Beyond Green: Integrating Economic and Social Aspects to Environmental Life Cycle Assessments in Canadian Housing","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Life-cycle assessment; Environmental planning; Environmental resource management; Natural resource economics; Political science; Economics; Environmental science","score_opus":0.008355622093602114,"score_gpt":0.23371793322885295,"score_spread":0.22536231113525085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400317270","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9899573,0.00010355157,0.000013679706,0.0009420175,0.00014122333,0.0003781815,0.000096969416,0.00003144473,0.008335667],"genre_scores_gemma":[0.9984936,0.00008855709,0.00042699283,0.0004951553,0.000041176598,0.000021816059,0.000017520395,0.000022320695,0.0003928552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99727917,0.00005623388,0.00031298294,0.00094550033,0.0004005489,0.0010055444],"domain_scores_gemma":[0.9987951,0.00002605361,0.000043024815,0.00020972076,7.556185e-7,0.00092535093],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055097556,0.00033659494,0.00024997714,0.00022745608,0.0007266458,0.00044457268,0.0003019091,0.00009851258,0.001797259],"category_scores_gemma":[0.000014363865,0.00033587217,0.00003942116,0.00024454782,0.0021820548,0.0017977868,0.0006063365,0.00028099632,0.00020822731],"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":[0.00010924436,0.00018660925,0.50339144,0.00008133838,0.000029765788,0.00025304133,0.0159754,0.0007622133,0.20966662,0.004640114,0.00007164889,0.26483256],"study_design_scores_gemma":[0.0003135486,0.00033149694,0.969856,0.00003085203,0.00001494348,0.000057138073,0.009247477,0.0075871497,0.0049116206,0.0013332346,0.005590975,0.00072553265],"about_ca_topic_score_codex":0.046922058,"about_ca_topic_score_gemma":0.10646574,"teacher_disagreement_score":0.4664646,"about_ca_system_score_codex":0.0013518576,"about_ca_system_score_gemma":0.00016637621,"threshold_uncertainty_score":0.99990934},"labels":[],"label_agreement":null},{"id":"W4400317298","doi":"10.1088/1755-1315/1363/1/012070","title":"Embodied Carbon Impacts of Building Envelope Systems","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":"Toronto Public Health; Toronto Zoo","funders":"","keywords":"Building envelope; Greenhouse gas; Architectural engineering; Embodied energy; Life-cycle assessment; Building design; Environmental science; Carbon fibers; Carbon neutrality; Roof; Engineering; Computer science; Construction engineering; Civil engineering; Ecology","score_opus":0.009749241458298292,"score_gpt":0.22291825001347051,"score_spread":0.21316900855517223,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400317298","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9871974,0.0005591697,0.00003731789,0.00009609312,0.0002342212,0.0003029082,0.00002859115,0.00005358759,0.011490697],"genre_scores_gemma":[0.9983234,0.00041180203,0.0004579885,0.000028020899,0.000023410852,0.00001314682,0.000005017302,0.000015245977,0.0007219976],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99763435,0.000048991256,0.000336923,0.0006615615,0.00068136887,0.00063683063],"domain_scores_gemma":[0.9991497,0.00003588885,0.00007387476,0.00034521622,0.0000033824197,0.00039195622],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005995434,0.0002730737,0.0002591571,0.00008814386,0.00025679634,0.00022040025,0.00035597527,0.00007908732,0.00071079406],"category_scores_gemma":[0.000040289586,0.0002319514,0.000051043386,0.00037311696,0.0035933694,0.0012154087,0.0005507818,0.0001811692,0.00003651172],"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":[0.000038275422,0.00006636322,0.058577843,0.00010108461,0.000012152143,0.000031887943,0.0016947911,0.0002663464,0.92426926,0.001988551,0.000014410039,0.012939042],"study_design_scores_gemma":[0.0003399976,0.00062540657,0.5588601,0.00015180893,0.00004110286,0.00018481772,0.004793165,0.0087372335,0.42005417,0.00086370955,0.0045404136,0.00080804084],"about_ca_topic_score_codex":0.0009048844,"about_ca_topic_score_gemma":0.00004938581,"teacher_disagreement_score":0.50421506,"about_ca_system_score_codex":0.0002449127,"about_ca_system_score_gemma":0.000057951784,"threshold_uncertainty_score":0.99911827},"labels":[],"label_agreement":null},{"id":"W4400317326","doi":"10.1088/1755-1315/1363/1/012059","title":"Comparison of 16 national methods in the life cycle assessment of carbon storage in wood products in a reference building","year":2024,"lang":"en","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Life-cycle assessment; Environmental science; Carbon fibers; Process engineering; Computer science; Engineering; Production (economics); Economics","score_opus":0.03591471967739232,"score_gpt":0.3484930216726716,"score_spread":0.31257830199527925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400317326","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9934946,0.00021731391,0.000060316786,0.00023008573,0.000044931086,0.00035664032,0.000013464383,0.0000062596723,0.0055764345],"genre_scores_gemma":[0.9961779,0.00008292908,0.0036319136,0.000030404359,0.000005770674,0.000025408213,0.000004834529,0.000005724638,0.000035110574],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976603,0.00022901875,0.00047561343,0.00051749614,0.00073775137,0.00037981526],"domain_scores_gemma":[0.99946004,0.0001158305,0.00009593947,0.00023428413,0.000003955837,0.00008991966],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022299618,0.00017621981,0.00027911647,0.00015572103,0.00006806075,0.000053459768,0.00039648256,0.00006204706,0.00020435493],"category_scores_gemma":[0.00013562062,0.00013872918,0.000023296072,0.0008080417,0.0018913537,0.00069241715,0.00032708587,0.00032200848,0.0000014764602],"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":[0.000046945737,0.00056454755,0.54805297,0.00012226893,0.000004462907,0.000011257696,0.007675264,0.008282086,0.41556534,0.0022200046,0.0000029559471,0.017451908],"study_design_scores_gemma":[0.00019251934,0.0001879033,0.94806266,0.000054975113,0.0000040182867,0.0000054030143,0.0057707406,0.01711453,0.027477328,0.0008433957,0.00012798815,0.00015852338],"about_ca_topic_score_codex":0.0011321969,"about_ca_topic_score_gemma":0.0007899354,"teacher_disagreement_score":0.40000972,"about_ca_system_score_codex":0.00037667743,"about_ca_system_score_gemma":0.00013145592,"threshold_uncertainty_score":0.6968772},"labels":[],"label_agreement":null},{"id":"W4400448560","doi":"10.3390/su16145842","title":"Carbon Emission Accounting and Reduction for Buildings Based on a Life Cycle Assessment: A Case Study in China’s Hot-Summer and Warm-Winter Region","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Cape Breton University; Wilfrid Laurier University","funders":"","keywords":"Life-cycle assessment; China; Environmental science; Reduction (mathematics); Climatology; Carbon fibers; Atmospheric sciences; Meteorology; Geography; Mathematics; Economics; Physics; Geology","score_opus":0.009914155173746525,"score_gpt":0.30197454966017134,"score_spread":0.29206039448642485,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400448560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995643,0.00004680612,0.00021669787,0.0015253272,0.000078671714,0.0021968225,0.000002234798,0.000062517305,0.00022789065],"genre_scores_gemma":[0.9994358,0.0000038433986,0.00012935387,0.00006521102,0.000033682845,0.0001798193,0.0000024919716,0.00002616551,0.00012363946],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979434,0.00020208185,0.0003288557,0.0008544532,0.00024305773,0.00042815416],"domain_scores_gemma":[0.99926776,0.00012433162,0.000057474983,0.0003483275,0.00001785604,0.00018426514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014400367,0.00025560538,0.00023774772,0.00011167835,0.000217723,0.00013513384,0.00008027595,0.00010859786,0.00003393598],"category_scores_gemma":[0.00045000485,0.00022271262,0.00006151302,0.00027922972,0.0002725659,0.00042779965,0.00020434354,0.00030218923,3.1484274e-7],"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":[0.0002602569,0.0006594351,0.97676,0.00043192174,0.000008650136,0.00038467746,0.004947954,0.00068281515,0.00032784906,0.000014781274,0.000043169002,0.015478488],"study_design_scores_gemma":[0.0012877954,0.00089913874,0.86127645,0.000053350563,0.00005343314,0.0001473283,0.02636873,0.105837986,0.00014347817,0.003323542,0.00021347025,0.00039532408],"about_ca_topic_score_codex":0.004919653,"about_ca_topic_score_gemma":0.00015053933,"teacher_disagreement_score":0.11548358,"about_ca_system_score_codex":0.002408265,"about_ca_system_score_gemma":0.000084583065,"threshold_uncertainty_score":0.90819573},"labels":[],"label_agreement":null},{"id":"W4400849593","doi":"10.1016/j.jclepro.2024.143220","title":"A graph-factor-based random forest model for assessing and predicting carbon emission patterns - Pearl River Delta urban agglomeration","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Chinese Academy of Sciences","keywords":"Random forest; Urban agglomeration; Economies of agglomeration; Delta; Environmental science; Econometrics; Geography; Mathematics; Economics; Economic geography; Computer science; Engineering; Artificial intelligence; Economic growth","score_opus":0.014125766593712839,"score_gpt":0.2609307704662593,"score_spread":0.24680500387254645,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400849593","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97254103,0.00013246319,0.026103362,0.0005833369,0.00030476903,0.00027157195,0.000003795355,0.000019590125,0.000040071594],"genre_scores_gemma":[0.99842507,0.000025489288,0.00094291504,0.000025556454,0.00031025385,0.0000052327778,0.0000054103093,0.000018246441,0.00024184962],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9989218,0.00006362367,0.0003197982,0.00022838358,0.00029880353,0.0001675673],"domain_scores_gemma":[0.9995715,0.000043787368,0.00016064144,0.000107063635,0.000020107162,0.00009691518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065287005,0.00012313145,0.00014524463,0.00007628587,0.00014242218,0.00011312198,0.000056604178,0.0000620222,0.000022380129],"category_scores_gemma":[0.00014138392,0.000095941316,0.00009100467,0.00007716742,0.0000939557,0.00074488326,0.000028003706,0.000188937,3.6631712e-7],"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":[0.0002762621,0.00012338994,0.82429886,0.00020113257,0.000027158505,0.0000082655615,0.00316642,0.121662796,0.025102308,0.0000016167346,0.0005968615,0.02453492],"study_design_scores_gemma":[0.0010263139,0.00020737124,0.21130481,0.00018713863,0.00010975386,0.000060454793,0.0005918871,0.7795852,0.005475417,0.0008187026,0.0004373425,0.0001956115],"about_ca_topic_score_codex":0.00007851317,"about_ca_topic_score_gemma":0.000021160262,"teacher_disagreement_score":0.6579224,"about_ca_system_score_codex":0.00029033568,"about_ca_system_score_gemma":0.000022081043,"threshold_uncertainty_score":0.39123735},"labels":[],"label_agreement":null},{"id":"W4400873461","doi":"10.3390/su16146214","title":"Review: The Economics Landscape for Building Decarbonization","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; University of Guelph","funders":"Environment Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon footprint; Incentive; Greenhouse gas; Government (linguistics); Business; Ecological footprint; Environmental economics; Climate change mitigation; Environmental resource management; Sustainability; Sustainable development; Footprint; Natural resource economics; Environmental planning; Economics; Environmental science; Political science; Geography","score_opus":0.005770391368375464,"score_gpt":0.26899829937427394,"score_spread":0.26322790800589846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400873461","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9411865,0.01549144,0.007829555,0.027521698,0.00039322293,0.004077149,0.000026674852,0.00022902549,0.0032447258],"genre_scores_gemma":[0.99642956,0.0011288499,0.00025891286,0.0011834166,0.000065574044,0.00020349382,0.000014972297,0.000020564788,0.0006946632],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988444,0.000080794285,0.000245413,0.00039389022,0.00009279447,0.000342714],"domain_scores_gemma":[0.99920696,0.00020860176,0.000034157274,0.00045058466,0.000022734703,0.00007696204],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012949787,0.00014463792,0.00014027806,0.000015879412,0.0002078935,0.00007724794,0.0002325002,0.000053571224,0.0004555131],"category_scores_gemma":[0.0007247128,0.00009927814,0.00013982966,0.00022762147,0.00025102214,0.0002974746,0.00018475596,0.000118711134,0.00002331537],"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":[0.00014173241,0.00040711902,0.50922275,0.010548299,0.00009889529,0.0000136972385,0.002467778,0.011833739,0.00016354473,0.03159727,0.16267943,0.27082577],"study_design_scores_gemma":[0.00020917537,0.00013889137,0.05506608,0.00009279198,0.0000954809,0.0000101106625,0.0006790016,0.02040625,0.00021932757,0.14277264,0.77992344,0.000386809],"about_ca_topic_score_codex":0.000099774916,"about_ca_topic_score_gemma":0.000032991957,"teacher_disagreement_score":0.617244,"about_ca_system_score_codex":0.0016454954,"about_ca_system_score_gemma":0.000065049964,"threshold_uncertainty_score":0.4987549},"labels":[],"label_agreement":null},{"id":"W4400905862","doi":"10.3390/w16152077","title":"Crop Water Use and a Gravity Model Exploration of Virtual Water Trade in Ghana’s Cereal Agriculture","year":2024,"lang":"en","type":"article","venue":"Water","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Korea International Cooperation Agency; Kyungpook National University","keywords":"Virtual water; Per capita; Agriculture; Agricultural economics; Population; Gravity model of trade; Sustainability; Geography; Sorghum; Productivity; Water use; Business; Agricultural science; Economics; Environmental science; Water scarcity; Economic growth; Agronomy; Biology; Forestry; International trade; Ecology","score_opus":0.01708489630207837,"score_gpt":0.22425484922150102,"score_spread":0.20716995291942264,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400905862","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99823993,0.0000074039867,0.00019179088,0.0010855601,0.000039529496,0.00020461417,0.000011142594,0.00002153665,0.00019849183],"genre_scores_gemma":[0.9979617,0.0000071129293,0.00010094212,0.00008129939,0.000014146024,0.000016780314,0.000054245003,0.0000119115875,0.0017518571],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9989414,0.000052629457,0.00019764208,0.00029152742,0.00018369888,0.00033306715],"domain_scores_gemma":[0.9997682,0.0000058920914,0.0000066556804,0.00014361281,0.0000016247366,0.00007400266],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00019409983,0.00014837601,0.0001358632,0.00003179683,0.00004649473,0.00007607401,0.000072937386,0.00009362058,0.00035085104],"category_scores_gemma":[0.000002566125,0.000066640474,0.00004665099,0.000034558863,0.00017116357,0.0013713203,0.00017314997,0.00013301996,0.000088858134],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000066420165,0.0001839949,0.0153708095,0.00005763902,0.000012425173,0.000036322333,0.042150255,0.008894585,0.93175083,0.000052610878,0.00049973617,0.00092435087],"study_design_scores_gemma":[0.00035785817,0.00013738456,0.02850391,0.00001612779,0.000023579481,0.000009067706,0.001047076,0.009025091,0.9559576,0.003455816,0.0011687104,0.0002977867],"about_ca_topic_score_codex":0.000650618,"about_ca_topic_score_gemma":0.00029672342,"teacher_disagreement_score":0.04110318,"about_ca_system_score_codex":0.00015783528,"about_ca_system_score_gemma":0.0000017472577,"threshold_uncertainty_score":0.3841573},"labels":[],"label_agreement":null},{"id":"W4400953477","doi":"10.24419/lhi.2304-3083.2021.2.08","title":"Assessing the Possible Risks of Including the Reserved Forests in National Reporting under the UN Convention on Climate Change","year":2021,"lang":"ru","type":"article","venue":"Lesohozâjstvennaâ informaciâ","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Convention; Environmental resource management; Environmental science; Geography; Political science; Ecology; Law; Biology","score_opus":0.2548357404983867,"score_gpt":0.42985763267939725,"score_spread":0.17502189218101055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400953477","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772392,0.00038532456,0.000057715766,0.0052217552,0.00027682085,0.00082727306,0.000026692283,0.000017062705,0.015948184],"genre_scores_gemma":[0.99761176,0.00029060108,0.000053822256,0.0015645471,0.000111881105,0.000082367944,0.000034517634,0.000023973362,0.00022653371],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9952396,0.00059027656,0.0017064048,0.00038655128,0.0012844313,0.00079269597],"domain_scores_gemma":[0.996646,0.0006191777,0.0017974958,0.00078779407,0.000060028215,0.00008949796],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0072523574,0.000325126,0.00033483593,0.00006908473,0.0012989846,0.00035045,0.00065498194,0.0001854461,0.0005441381],"category_scores_gemma":[0.0009597112,0.00018512168,0.00027606875,0.00086950255,0.0008443558,0.0014568549,0.0011391558,0.00088084093,0.00005955275],"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":[0.000104889245,0.00036021756,0.9418395,0.00022084307,0.00008127491,0.0000661912,0.010889149,0.009457358,0.001488873,0.010115771,0.00009769104,0.02527825],"study_design_scores_gemma":[0.00060648465,0.00007598094,0.959151,0.00021973555,0.00004185708,0.000056253626,0.017757855,0.010179312,0.0060366318,0.0047033583,0.00093610375,0.00023541643],"about_ca_topic_score_codex":0.00079832453,"about_ca_topic_score_gemma":0.0012085339,"teacher_disagreement_score":0.025042834,"about_ca_system_score_codex":0.0010071367,"about_ca_system_score_gemma":0.00012268142,"threshold_uncertainty_score":0.99908704},"labels":[],"label_agreement":null},{"id":"W4400984531","doi":"10.1038/s41893-024-01400-z","title":"Targeting net-zero emissions while advancing other sustainable development goals in China","year":2024,"lang":"en","type":"article","venue":"Nature Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":92,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"China; Zero emission; Sustainable development; Zero (linguistics); Net (polyhedron); Business; Natural resource economics; Environmental science; Economics; Engineering; Geography; Mathematics; Waste management; Biology; Ecology","score_opus":0.0028138205740123393,"score_gpt":0.2499948062150693,"score_spread":0.24718098564105698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400984531","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97983867,0.0015131716,0.0010862142,0.0016641447,0.00020709411,0.0015205754,0.000006664011,0.0002762454,0.013887219],"genre_scores_gemma":[0.98800427,0.000013771382,0.0014444017,0.00027658007,0.000058350048,0.0001314503,0.00002015461,0.000061331695,0.0099896835],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99561805,0.0002789054,0.0006768692,0.0011421968,0.0006426323,0.0016413681],"domain_scores_gemma":[0.99867815,0.00018422659,0.00007881929,0.00064209756,0.000042538017,0.00037417863],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0026986753,0.00047782957,0.00039984437,0.00017152267,0.00044786595,0.00016666423,0.00047939553,0.0005168363,0.0031990253],"category_scores_gemma":[0.001581537,0.00041492542,0.00015148862,0.0012846981,0.00034499876,0.0010746277,0.00082355354,0.0015752482,0.000083242725],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014674089,0.0008433148,0.9348293,0.0014777071,0.00003654312,0.0007314909,0.0120157255,0.013479392,0.0011823664,0.0025285708,0.011782738,0.020946093],"study_design_scores_gemma":[0.00054015976,0.00009813331,0.5725011,0.00008512594,0.000021163372,0.0000129166665,0.014441059,0.0022846253,0.0016561142,0.037324257,0.370052,0.0009832964],"about_ca_topic_score_codex":0.0010647953,"about_ca_topic_score_gemma":0.00016574247,"teacher_disagreement_score":0.36232817,"about_ca_system_score_codex":0.009160482,"about_ca_system_score_gemma":0.0003914993,"threshold_uncertainty_score":0.99983025},"labels":[],"label_agreement":null},{"id":"W4401166073","doi":"10.2139/ssrn.4912308","title":"Monitor the Energy and Carbon Emissions of Process-Based Models: Processc","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Government of Canada; Agriculture and Agri-Food Canada; McGill University","funders":"","keywords":"Greenhouse gas; Process (computing); Energy (signal processing); Environmental science; Carbon fibers; Natural resource economics; Computer science; Economics; Physics; Geology; Oceanography","score_opus":0.007119066828970528,"score_gpt":0.24672670287635662,"score_spread":0.23960763604738608,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401166073","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9879206,0.0065145427,0.0004715268,0.001192228,0.000115493895,0.00025526452,0.000008726368,0.000026424059,0.0034952115],"genre_scores_gemma":[0.9968023,0.001869778,0.000032333264,0.000046360594,0.00008956028,0.000036936628,0.000003509357,0.000036221256,0.0010830127],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973415,0.00010305639,0.00036778598,0.00039747288,0.0005191344,0.0012710531],"domain_scores_gemma":[0.9992427,0.00003918109,0.00022914457,0.00032956342,0.00001557988,0.00014381086],"candidate_categories":["research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0009299626,0.00029738797,0.00026846476,0.00005370739,0.00017458052,0.00006200809,0.0004973099,0.00020454191,0.000051385752],"category_scores_gemma":[0.000040960567,0.00019122873,0.00013580215,0.0001555039,0.00037869238,0.00008103677,0.0006314708,0.0024456638,0.0000013969016],"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":[0.0011771048,0.002763629,0.1335312,0.0034861562,0.0017832675,0.00007495072,0.015291509,0.59873533,0.007913854,0.030253358,0.0008103323,0.20417932],"study_design_scores_gemma":[0.00021184205,0.00019771201,0.0007739719,0.000115673116,0.00014646449,0.000068457244,0.0028389287,0.041256838,0.0014744318,0.9525018,0.00012148199,0.00029244044],"about_ca_topic_score_codex":0.0009102501,"about_ca_topic_score_gemma":0.00074255106,"teacher_disagreement_score":0.9222484,"about_ca_system_score_codex":0.0016568628,"about_ca_system_score_gemma":0.0011577258,"threshold_uncertainty_score":0.99985576},"labels":[],"label_agreement":null},{"id":"W4401385214","doi":"10.1007/s43678-024-00757-6","title":"IFEM executive summary white paper of climate and ecological crisis","year":2024,"lang":"en","type":"editorial","venue":"Canadian Journal of Emergency Medicine","topic":"Environmental Impact and Sustainability","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":"Dalhousie University","funders":"","keywords":"White (mutation); Executive summary; Climate change; Ecological crisis; Medicine; Ecology; Environmental resource management; Environmental science; Business; Finance; Biology","score_opus":0.01667531143015423,"score_gpt":0.29122305995387376,"score_spread":0.27454774852371955,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401385214","genre_codex":"editorial","genre_gemma":"editorial","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"editorial","genre_consensus":"editorial","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.02499194,0.007854864,0.0000048632783,0.00293508,0.92719483,0.0003031293,0.00032436044,0.000007374792,0.036383547],"genre_scores_gemma":[0.14310254,0.06357859,0.00023756985,0.0006345315,0.7691619,0.000021365557,0.00021044258,0.00022863847,0.022824459],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9973396,0.0001271108,0.0010399993,0.00031759174,0.00065486686,0.000520839],"domain_scores_gemma":[0.998077,0.00012499018,0.00043380068,0.00024410953,0.00005760686,0.001062505],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011439519,0.00032184852,0.0007054813,0.00017807077,0.00010564066,0.0000072678317,0.00036381857,0.00044290067,0.022847386],"category_scores_gemma":[0.00086605805,0.0002313144,0.00018213235,0.00026138808,0.0006239327,0.00021137531,0.00011459647,0.0009216862,0.000022249546],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00002819388,0.000023520684,0.015419362,0.00015252337,0.000060472335,0.00019423588,0.0014067987,0.000010596925,0.000042672174,0.000006298433,0.98236006,0.00029527355],"study_design_scores_gemma":[0.00028198914,0.00083769497,0.013161258,0.0002056875,0.00028787093,0.000008573525,0.0024920462,0.000004037458,0.00000421571,0.00083633355,0.98165286,0.00022743578],"about_ca_topic_score_codex":0.008330853,"about_ca_topic_score_gemma":0.022751063,"teacher_disagreement_score":0.15803297,"about_ca_system_score_codex":0.0007179538,"about_ca_system_score_gemma":0.0002770594,"threshold_uncertainty_score":0.9982728},"labels":[],"label_agreement":null},{"id":"W4401580004","doi":"10.1111/jiec.13546","title":"Assessing robustness of consequential LCA: Insights from a multiregional economic model tailored to the cement industrial symbiosis","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Industrial ecology; Robustness (evolution); Life-cycle assessment; Variance (accounting); Environmental economics; Uncertainty analysis; Climate change; Computer science; Econometrics; Environmental resource management; Risk analysis (engineering); Economics; Production (economics); Sustainability; Business; Accounting; Simulation","score_opus":0.06025430925794467,"score_gpt":0.2894265983140171,"score_spread":0.22917228905607245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401580004","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99223197,0.000041403135,0.0009158806,0.0037910833,0.002400861,0.00037984786,0.000026912154,0.0000085170495,0.00020352994],"genre_scores_gemma":[0.9983475,0.000010249239,0.00039442224,0.00015021046,0.0010045127,0.000010006693,0.0000061226874,0.000016811366,0.00006012316],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99782664,0.00030666156,0.00092733157,0.0002812195,0.00034779878,0.00031037466],"domain_scores_gemma":[0.99878633,0.0003719105,0.00039887778,0.00021535232,0.00001683472,0.00021071616],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007258077,0.00020757275,0.0004450076,0.000121499,0.00013903463,0.000113782335,0.00045323168,0.00035471245,0.0013596172],"category_scores_gemma":[0.00023491438,0.00014622344,0.00022556198,0.00017336704,0.00041799928,0.0005683679,0.00030384472,0.00066462636,0.000039341365],"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":[0.0012121506,0.0005649373,0.04573143,0.000009379454,0.00048853067,0.00013151909,0.0016152535,0.8833469,0.012275455,0.00022538692,0.03434609,0.020052977],"study_design_scores_gemma":[0.029412866,0.00766338,0.11383297,0.00084933784,0.002486783,0.0006061535,0.018113486,0.73524976,0.042258415,0.009387666,0.03703009,0.0031091033],"about_ca_topic_score_codex":0.00040223807,"about_ca_topic_score_gemma":0.00025279162,"teacher_disagreement_score":0.14809714,"about_ca_system_score_codex":0.0016235687,"about_ca_system_score_gemma":0.0004998748,"threshold_uncertainty_score":0.99955326},"labels":[],"label_agreement":null},{"id":"W4401649099","doi":"10.5376/jeb.2024.15.0016","title":"Balancing Agricultural Energy Inputs and Outputs: Optimization Strategies and Sustainable Development","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Bioscience","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Agriculture; Sustainable development; Environmental economics; Computer science; Agricultural engineering; Business; Natural resource economics; Environmental resource management; Environmental science; Economics; Engineering; Geography; Ecology; Biology","score_opus":0.004059800025348533,"score_gpt":0.20050611580692698,"score_spread":0.19644631578157845,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401649099","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.950048,0.0013057982,0.04578094,0.0004947509,0.00013694007,0.000031841577,4.410879e-7,0.00001672704,0.002184552],"genre_scores_gemma":[0.994547,0.00028284104,0.003997189,0.00013533267,0.000030045914,0.0000014146457,7.212661e-7,0.000004934452,0.0010005198],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9989177,0.000037878355,0.00025507735,0.00020003025,0.00030022016,0.00028906928],"domain_scores_gemma":[0.9996456,0.000031376763,0.00008660888,0.00006111703,0.000016734266,0.00015860194],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004290697,0.00012251941,0.00012162878,0.00007085977,0.0002000859,0.00034433577,0.00012900752,0.000046134475,0.000056247067],"category_scores_gemma":[0.000036094967,0.0000824732,0.000025612586,0.00029253878,0.00029408038,0.0018164006,0.00021618597,0.00007639439,6.239816e-7],"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":[0.00019999113,0.0008459764,0.11989242,0.0006489429,0.00019519588,0.00191435,0.020658752,0.3394714,0.23135956,0.11856859,0.003846013,0.16239883],"study_design_scores_gemma":[0.0012069041,0.00146001,0.73494005,0.00038729343,0.00010228369,0.002048699,0.04545058,0.03430825,0.06140085,0.0075112293,0.109454826,0.0017290298],"about_ca_topic_score_codex":0.00012474175,"about_ca_topic_score_gemma":0.00002813258,"teacher_disagreement_score":0.61504763,"about_ca_system_score_codex":0.00031575118,"about_ca_system_score_gemma":0.000071872135,"threshold_uncertainty_score":0.33631593},"labels":[],"label_agreement":null},{"id":"W4401649916","doi":"10.5376/jeb.2024.15.0013","title":"Comparative Study of Carbon Cycling in Tropical Forests: An Analysis of Productivity and Efficiency from West Africa to the Amazon","year":2024,"lang":"en","type":"article","venue":"Journal of Energy Bioscience","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Amazon rainforest; Productivity; Carbon fibers; Cycling; Agroforestry; Carbon cycle; Tropics; Geography; Carbon stock; Forestry; Environmental science; Ecology; Economics; Mathematics; Ecosystem; Biology; Climate change; Economic growth","score_opus":0.015783024368966215,"score_gpt":0.28041242350007883,"score_spread":0.2646293991311126,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401649916","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9991905,0.00010553681,0.00032550466,0.00011110797,0.000060147166,0.000088438544,0.0000035776302,0.0000020404034,0.000113135364],"genre_scores_gemma":[0.99984455,0.0000070068745,0.00011339095,0.0000058893575,0.000015679343,0.0000017403853,1.7073242e-7,0.0000023523532,0.0000092155615],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985727,0.0001748597,0.00037960938,0.00025326188,0.0004668825,0.00015265975],"domain_scores_gemma":[0.9994199,0.00012201626,0.00014430372,0.0002071197,0.0000119290935,0.0000947134],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058255065,0.0000908746,0.00029699726,0.00017714904,0.000046727095,0.00002563033,0.00030648377,0.000023542612,0.000020546166],"category_scores_gemma":[0.00009811665,0.000054984353,0.00005342608,0.0014472888,0.00037241733,0.0002551308,0.00014857725,0.00011194712,1.6839743e-7],"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":[0.000043064043,0.00080308376,0.92452645,0.0000021696856,0.000027566653,0.0000079671645,0.010193289,0.04352312,0.02014232,0.000023940374,0.0000013706109,0.0007056837],"study_design_scores_gemma":[0.00009971308,0.0009591409,0.9747651,0.000011090092,0.000084222826,0.0000014163144,0.004388309,0.016906234,0.0026189217,0.00008855358,0.000019196406,0.000058107344],"about_ca_topic_score_codex":0.002865717,"about_ca_topic_score_gemma":0.010175288,"teacher_disagreement_score":0.05023867,"about_ca_system_score_codex":0.00016356174,"about_ca_system_score_gemma":0.000020169771,"threshold_uncertainty_score":0.56780493},"labels":[],"label_agreement":null},{"id":"W4401836496","doi":"10.1016/j.jclepro.2024.143469","title":"Looking beyond energy efficiency targets: Life cycle sustainability of mechanical and water heating equipment in Canadian homes","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Northern British Columbia; Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"University of British Columbia; Mitacs","keywords":"Sustainability; Life-cycle assessment; Efficient energy use; Environmental science; Energy (signal processing); Environmental economics; Natural resource economics; Engineering; Production (economics); Economics","score_opus":0.003945428611281098,"score_gpt":0.2254339265170713,"score_spread":0.2214884979057902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401836496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996269,0.0003839004,0.00020332799,0.0024954155,0.00023656424,0.0001132957,7.894574e-7,0.000005593052,0.00029211174],"genre_scores_gemma":[0.9995318,0.000055693374,0.00013267,0.000051249142,0.000094416035,0.0000019874751,9.967692e-7,0.000009864903,0.00012134658],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985389,0.000105365645,0.00047586305,0.00023066209,0.00030154418,0.00034767584],"domain_scores_gemma":[0.99952966,0.000023851795,0.00007529542,0.00012845676,0.000020328102,0.00022241667],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016415135,0.0001095505,0.00019257938,0.00014180838,0.00007599624,0.00003211431,0.000092747796,0.000057697405,0.00023856993],"category_scores_gemma":[0.00025378072,0.0000790316,0.000058662125,0.00014692794,0.00016658334,0.0004786641,0.00008767045,0.00019241046,0.0000015186273],"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":[0.00040651386,0.0011024162,0.42523453,0.000970428,0.00011185043,0.0003120289,0.020332761,0.24918759,0.08350818,0.0009600853,0.0008581795,0.21701545],"study_design_scores_gemma":[0.0017950186,0.0026409007,0.49483576,0.00042530836,0.000207884,0.0007590153,0.028236194,0.03627129,0.3186347,0.08718898,0.027610995,0.0013939625],"about_ca_topic_score_codex":0.029997123,"about_ca_topic_score_gemma":0.009589488,"teacher_disagreement_score":0.2351265,"about_ca_system_score_codex":0.0014409395,"about_ca_system_score_gemma":0.00009150303,"threshold_uncertainty_score":0.9764622},"labels":[],"label_agreement":null},{"id":"W4402079936","doi":"10.1016/j.ijhydene.2024.08.290","title":"Optimization and exergoeconomic analyses of water-energy-carbon nexus in steel production: Integrating solar-biogas energy, wastewater treatment, and carbon capture","year":2024,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Innovation Cluster (Canada)","funders":"","keywords":"Biogas; Nexus (standard); Environmental science; Carbon fibers; Biogas production; Water-energy nexus; Wastewater; Production (economics); Waste management; Hydrogen production; Solar energy; Renewable energy; Process engineering; Materials science; Environmental engineering; Hydrogen; Methane; Chemistry; Engineering; Anaerobic digestion","score_opus":0.010229083522354906,"score_gpt":0.24675410520351493,"score_spread":0.23652502168116002,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402079936","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9970957,0.0010425106,0.00019703149,0.00045171904,0.0003007763,0.00002919831,0.0000040894947,0.0000072427874,0.0008717116],"genre_scores_gemma":[0.9984367,0.0006559404,0.000174177,0.000033823908,0.00014194036,0.0000047458366,0.000013010517,0.000016773896,0.0005228721],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9988047,0.000079162426,0.0004809454,0.0002550841,0.00021073098,0.00016939425],"domain_scores_gemma":[0.99962306,0.00002624806,0.00014419568,0.00010353058,0.00001850473,0.00008445548],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001808856,0.00018314413,0.0002365726,0.000212312,0.00002648727,0.000059287348,0.00013939965,0.00007418293,0.000082006554],"category_scores_gemma":[0.000013167805,0.00012719615,0.000080489954,0.000083553874,0.00015337655,0.0003898458,0.000118593685,0.00007886194,2.0647512e-7],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002926895,0.00040303302,0.03776895,0.000022658482,0.0006283966,0.00026438275,0.0035337517,0.51812,0.42225936,0.0006038383,0.00003301447,0.016069908],"study_design_scores_gemma":[0.0009587028,0.00048573967,0.0013419345,0.00013529797,0.00014380517,0.0006805315,0.0012062556,0.14019889,0.8490867,0.002650123,0.0027485015,0.00036352273],"about_ca_topic_score_codex":0.0068588196,"about_ca_topic_score_gemma":0.00087979034,"teacher_disagreement_score":0.42682734,"about_ca_system_score_codex":0.0005634841,"about_ca_system_score_gemma":0.000021987027,"threshold_uncertainty_score":0.9997546},"labels":[],"label_agreement":null},{"id":"W4402205494","doi":"10.1016/j.jclepro.2024.143564","title":"Methodology for material flow analysis at the organizational scale","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université Laval","funders":"Québec Ministère du Développement Durable, de l’Environnement et de la Lutte Contre les Changements Climatiques","keywords":"Computer science; Material flow analysis; Bootstrapping (finance); Circular economy; Industrial engineering; Monte Carlo method; Scale (ratio); Scenario analysis; Management science; Focus (optics); Data science; Risk analysis (engineering); Operations research; Engineering; Econometrics","score_opus":0.01693325574965363,"score_gpt":0.28366695156508454,"score_spread":0.2667336958154309,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402205494","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9843949,0.000054243825,0.010006284,0.0042777034,0.0009613527,0.00013376157,0.000007495481,0.000008770658,0.00015547054],"genre_scores_gemma":[0.98825777,0.000020576725,0.006486655,0.000078952915,0.00074121373,0.0000032963922,0.000012115696,0.000011210599,0.00438819],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99914134,0.00013492546,0.0002413605,0.00014685196,0.00022228653,0.00011325297],"domain_scores_gemma":[0.999665,0.000064717875,0.000090281916,0.00012265182,0.000018528386,0.000038796377],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013848207,0.000066607,0.00012537856,0.0000518406,0.00012620277,0.000035411475,0.00009590372,0.000037674323,0.003644377],"category_scores_gemma":[0.00017479618,0.000040230236,0.00013141737,0.00029040614,0.00015065147,0.0002351411,0.00005943986,0.00007936766,0.000028604525],"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":[0.001056676,0.00032732863,0.184641,0.00011298529,0.0010696566,0.000017166121,0.005310108,0.32489818,0.30095702,0.000083347055,0.08095345,0.10057309],"study_design_scores_gemma":[0.00046045246,0.00058084336,0.39863965,0.000014256886,0.0022860824,0.00074369786,0.0016428953,0.006325134,0.37489742,0.011695462,0.20232232,0.00039178593],"about_ca_topic_score_codex":0.000012574673,"about_ca_topic_score_gemma":0.00004432834,"teacher_disagreement_score":0.31857303,"about_ca_system_score_codex":0.00036606705,"about_ca_system_score_gemma":0.000010898055,"threshold_uncertainty_score":0.9972664},"labels":[],"label_agreement":null},{"id":"W4402520975","doi":"10.1016/b978-0-443-19098-8.00006-3","title":"PVTX modeling","year":2024,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta; University of Regina","funders":"","keywords":"Computer science","score_opus":0.012475747412782887,"score_gpt":0.23054543389574117,"score_spread":0.21806968648295827,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402520975","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0010205641,0.00052483316,0.000009022418,0.00007434357,0.00024089288,0.00042778125,0.000023306842,0.00010966985,0.99756956],"genre_scores_gemma":[0.016395727,0.000053362804,0.00016457046,0.00027193624,0.00013494088,0.000019294821,0.000015643318,0.000109912835,0.98283464],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99814665,0.000011020463,0.0003587305,0.000637105,0.00045733177,0.00038915753],"domain_scores_gemma":[0.99909526,0.000014915842,0.00006484586,0.00061595615,0.000003520466,0.00020547982],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00022771924,0.0004436063,0.00034281047,0.00004690725,0.000111762114,0.00006301755,0.00031165758,0.00031073068,0.0074616796],"category_scores_gemma":[0.0000066965144,0.00039651766,0.0002841244,0.0000111975305,0.00029767473,0.000076856704,0.00062964245,0.00058905064,0.008022094],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000009183315,0.00001151935,0.00005657119,0.00008589089,0.000047449816,0.000102045764,0.0003677573,0.00043684142,0.0000492059,0.0033337704,0.0003493391,0.99515045],"study_design_scores_gemma":[0.000067554334,0.000037752296,0.000013185025,0.0000850303,0.00008514563,0.000013602872,0.00001992284,0.0014121326,0.000014098752,0.12006467,0.8777398,0.0004471126],"about_ca_topic_score_codex":0.000004579733,"about_ca_topic_score_gemma":0.000033789052,"teacher_disagreement_score":0.9947033,"about_ca_system_score_codex":0.00077835104,"about_ca_system_score_gemma":0.00001744386,"threshold_uncertainty_score":0.99984866},"labels":[],"label_agreement":null},{"id":"W4402539356","doi":"10.1016/j.jclepro.2024.143651","title":"Unveiling key drivers of economy-water system and transforming water use pattern into sustainable development: Inner-Shaan-Ning region in the Yellow River Basin","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Foundation for Innovative Research Groups of the National Natural Science Foundation of China","keywords":"Sustainable development; Key (lock); Structural basin; Circular economy; Water resource management; Environmental resource management; Business; Environmental science; Economy; Geography; Geology; Economics; Ecology; Geomorphology","score_opus":0.008248746496438551,"score_gpt":0.1994952436164387,"score_spread":0.19124649712000014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402539356","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974614,0.000042408803,0.00083069503,0.0011613356,0.00012413954,0.00022374847,1.1666703e-7,0.00000803214,0.00014814129],"genre_scores_gemma":[0.999211,0.0000229488,0.00021176321,0.000043648004,0.00007039602,0.000003060128,0.0000015168591,0.000012769619,0.00042290764],"study_design_codex":"qualitative","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9987276,0.00012802439,0.0004595123,0.00020655945,0.00021224517,0.00026603235],"domain_scores_gemma":[0.9997039,0.000021853355,0.00007993418,0.00012444722,0.000021691432,0.000048166967],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014458196,0.00012863491,0.00017402833,0.0001297879,0.00012959518,0.000082615996,0.000115517665,0.00005609248,0.000032299693],"category_scores_gemma":[0.00002325005,0.000072209135,0.000057849724,0.000095286676,0.00015753748,0.0016963836,0.000060081315,0.00023846499,0.000008161027],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003225655,0.00026917606,0.39566907,0.003052152,0.00013567154,0.0008547892,0.46938422,0.02925038,0.045162413,0.000040815972,0.0007410998,0.055117622],"study_design_scores_gemma":[0.0012545991,0.0004983311,0.11291558,0.00087914604,0.00017669178,0.0015164822,0.19171719,0.0022162283,0.6062199,0.00092048064,0.08094566,0.00073972635],"about_ca_topic_score_codex":0.00029953392,"about_ca_topic_score_gemma":0.00003091787,"teacher_disagreement_score":0.56105745,"about_ca_system_score_codex":0.000730334,"about_ca_system_score_gemma":0.0000149441075,"threshold_uncertainty_score":0.2944603},"labels":[],"label_agreement":null},{"id":"W4402565360","doi":"10.1016/j.jclepro.2024.143717","title":"Impacts of alternative fuel combustion in cement manufacturing: Life cycle greenhouse gas, biogenic carbon, and criteria air contaminant emissions","year":2024,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"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 Calgary","funders":"Alberta Innovates; Natural Sciences and Engineering Research Council of Canada; Emissions Reduction Alberta; Lafarge Canada","keywords":"Greenhouse gas; Environmental science; Fugitive emissions; Waste management; Combustion; Life-cycle assessment; Cement; Carbon fibers; Environmental engineering; Engineering; Chemistry; Production (economics); Materials science","score_opus":0.010249217856710558,"score_gpt":0.25863313010662903,"score_spread":0.24838391224991846,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402565360","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9974604,0.00047428304,0.00003322239,0.0013739525,0.0003640693,0.00019169095,0.0000028176387,0.000008197069,0.0000913484],"genre_scores_gemma":[0.999056,0.00056421803,0.00012243322,0.000027619622,0.0001253567,0.0000018041816,0.0000013204425,0.000012741139,0.00008854655],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987502,0.00010471715,0.00046107738,0.00020305884,0.00030055514,0.00018039826],"domain_scores_gemma":[0.99947953,0.00002336394,0.00019740788,0.00013806722,0.000012258847,0.00014935073],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00067387795,0.00012696223,0.00019851778,0.00012146675,0.000036046724,0.000019033156,0.000083975916,0.00004855563,0.0001308726],"category_scores_gemma":[0.00011040869,0.00009811722,0.000060844366,0.000102726066,0.00016155778,0.00044456424,0.000080836115,0.0002044911,0.0000025568936],"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":[0.0013129803,0.0019082944,0.43419248,0.0009361234,0.00020044816,0.0002771152,0.017700912,0.03384702,0.4195975,0.000020901316,0.0019621192,0.0880441],"study_design_scores_gemma":[0.0006617415,0.00074834854,0.82232016,0.00022245367,0.000075074975,0.00021900075,0.0020780663,0.0015859779,0.1690406,0.0013814109,0.0014638494,0.00020333027],"about_ca_topic_score_codex":0.0005772176,"about_ca_topic_score_gemma":0.00012650626,"teacher_disagreement_score":0.38812768,"about_ca_system_score_codex":0.00043891242,"about_ca_system_score_gemma":0.000022477618,"threshold_uncertainty_score":0.40011042},"labels":[],"label_agreement":null},{"id":"W4402681033","doi":"10.59627/cbens.2024.2390","title":"ANÁLISIS PRELIMINAR DE LA VARIABILIDAD DE CORTO PLAZO DEL RECURSO SOLAR EN ARGENTINA UTILIZANDO LOS DATOS DE LA RED SAVER-NET","year":2024,"lang":"es","type":"article","venue":"Anais Congresso Brasileiro de Energia Solar","topic":"Environmental Impact and Sustainability","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":"Dalhousie University","funders":"","keywords":"Humanities; Philosophy","score_opus":0.005882402025549787,"score_gpt":0.27429586737343836,"score_spread":0.26841346534788857,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402681033","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9858252,0.0030766656,0.0027648497,0.00031684808,0.0003605306,0.0007998589,0.0005160223,0.0003093555,0.006030667],"genre_scores_gemma":[0.9892064,0.0049781846,0.0031266983,0.0005637714,0.000282836,0.00014540933,0.00013269768,0.00023638991,0.0013276316],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99003977,0.0038815169,0.00096569315,0.0017092173,0.0009169891,0.002486808],"domain_scores_gemma":[0.99454635,0.0023541097,0.0002940517,0.00149267,0.000030615953,0.0012821881],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.005223538,0.001081251,0.0008951906,0.0002554655,0.000716955,0.0011896073,0.0014021649,0.0014314317,0.0031888005],"category_scores_gemma":[0.0015682976,0.0011537023,0.0006050109,0.0007445274,0.002078632,0.0011313075,0.0009979638,0.0016461614,0.00019031866],"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":[0.00036473558,0.0009825334,0.9234528,0.0006209386,0.00040353744,0.0020824461,0.004192544,0.0038170796,0.043930355,0.0010303826,0.011881016,0.0072416253],"study_design_scores_gemma":[0.001275076,0.00041171818,0.8747923,0.00048275554,0.0007218028,0.0005026489,0.0013204862,0.03356699,0.037775747,0.0022410545,0.04559631,0.0013131372],"about_ca_topic_score_codex":0.0026035307,"about_ca_topic_score_gemma":0.00012238022,"teacher_disagreement_score":0.04866053,"about_ca_system_score_codex":0.003357872,"about_ca_system_score_gemma":0.0006053884,"threshold_uncertainty_score":0.99986494},"labels":[],"label_agreement":null},{"id":"W4402716786","doi":"10.1007/s11367-024-02373-z","title":"Social life cycle assessment (S-LCA) of technology systems at different stages of development","year":2024,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"Canada First Research Excellence Fund","keywords":"Life-cycle assessment; Development (topology); Process management; Systems engineering; Computer science; Engineering; Economics; Production (economics)","score_opus":0.013547203714547523,"score_gpt":0.3179934520368863,"score_spread":0.30444624832233874,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402716786","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99168664,0.0003007677,0.0011795688,0.00433505,0.0006397305,0.00022827165,0.000019636806,0.000017096869,0.001593211],"genre_scores_gemma":[0.9986991,0.000091030044,0.0007119188,0.00008247487,0.00013262373,0.000015576004,0.0000051930765,0.000019208152,0.00024283794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9967258,0.00013737108,0.0010779861,0.000207173,0.0015995374,0.00025211053],"domain_scores_gemma":[0.998769,0.00016543418,0.0006545256,0.0002044423,0.00007065305,0.00013596227],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00093993987,0.00020706152,0.00040655019,0.00016225806,0.000119228316,0.00006442392,0.000889005,0.00008900128,0.00071254704],"category_scores_gemma":[0.000058953396,0.00013852639,0.00019663133,0.00016595847,0.00036780056,0.00024163067,0.0007566982,0.00032608357,0.000012372153],"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":[0.0003215626,0.0023512947,0.87128204,0.0003148987,0.002324557,0.000121453086,0.0033092736,0.03711648,0.04655077,0.008578607,0.003543545,0.02418554],"study_design_scores_gemma":[0.0008885589,0.00032369766,0.97702,0.0001705502,0.000093479255,0.000053022504,0.0033373076,0.005177102,0.0055279066,0.0017116028,0.005443735,0.00025303345],"about_ca_topic_score_codex":0.000074864445,"about_ca_topic_score_gemma":0.00001886893,"teacher_disagreement_score":0.105737984,"about_ca_system_score_codex":0.0021660055,"about_ca_system_score_gemma":0.00023582239,"threshold_uncertainty_score":0.78018904},"labels":[],"label_agreement":null},{"id":"W4402837855","doi":"10.1016/j.jobe.2024.110866","title":"A limit state approach for considering greenhouse gas emissions in the structural design of buildings: Environmental Impact Limit State (EILS)","year":2024,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada; Dalhousie University","keywords":"Limit (mathematics); Greenhouse gas; State (computer science); Limit state design; Environmental science; Architectural engineering; Civil engineering; Environmental engineering; Engineering; Computer science; Geology; Mathematics","score_opus":0.014632087676522664,"score_gpt":0.25255503438491683,"score_spread":0.23792294670839417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402837855","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8721586,0.000493592,0.12678403,0.000049242102,0.00008900054,0.00037303785,0.000020638345,0.000020340742,0.0000115442035],"genre_scores_gemma":[0.9559718,0.00011504297,0.0437813,0.000016467302,0.000043091117,0.0000111749005,0.0000015603791,0.00004391097,0.000015649315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99813026,0.000068701396,0.00064158265,0.00023612207,0.0004468309,0.00047652924],"domain_scores_gemma":[0.999038,0.00040406556,0.00018397172,0.00021268339,0.000004370004,0.00015692569],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012237958,0.00027148507,0.0003443499,0.00017766889,0.00007649851,0.00009264343,0.00037449188,0.00006297287,0.000056990364],"category_scores_gemma":[0.00014518277,0.00018848664,0.00025315088,0.00022811072,0.000113791095,0.00057206553,0.00012612966,0.0004592796,8.4426614e-7],"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":[0.000057876616,0.00006862909,0.009371228,0.0000942513,0.00006200353,0.000051903033,0.002198975,0.8451039,0.13928364,0.0000070678675,0.00012291419,0.0035776116],"study_design_scores_gemma":[0.001519245,0.0012813829,0.074769095,0.00039526942,0.00015842992,0.00095823524,0.0015607292,0.8838668,0.03242434,0.0014435446,0.0008227424,0.00080022356],"about_ca_topic_score_codex":0.000044177392,"about_ca_topic_score_gemma":0.0000012124013,"teacher_disagreement_score":0.1068593,"about_ca_system_score_codex":0.00083495845,"about_ca_system_score_gemma":0.00003204893,"threshold_uncertainty_score":0.7686262},"labels":[],"label_agreement":null},{"id":"W4402925815","doi":"10.1111/jiec.13548","title":"Developing a comprehensive account of embodied emissions within the Canadian construction sector","year":2024,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"Canada Research Chairs","keywords":"Industrial ecology; Embodied cognition; Business; Natural resource economics; Environmental resource management; Economics; Sustainability; Ecology; Computer science","score_opus":0.04389657046484961,"score_gpt":0.27776478572916874,"score_spread":0.2338682152643191,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402925815","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99360454,0.000036661,0.000026244034,0.003390102,0.0012890309,0.00016286544,0.0000069645494,0.000004087376,0.0014794864],"genre_scores_gemma":[0.999102,0.000008354237,0.0004500737,0.00021500957,0.00015993849,0.000001738764,8.622746e-7,0.000006198388,0.000055820958],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989301,0.00014290857,0.00044700742,0.00009856561,0.00018858135,0.00019282046],"domain_scores_gemma":[0.9993286,0.0001839444,0.00022355004,0.00009449891,0.000023800498,0.0001455676],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005284763,0.00009156373,0.0001993636,0.00008159354,0.00017188837,0.000030692172,0.00018439749,0.00018068352,0.0012818867],"category_scores_gemma":[0.00026555583,0.00005875509,0.00008037219,0.00021099069,0.00044894178,0.00016309666,0.00006708138,0.0004949292,0.000017266753],"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":[0.00045136677,0.00016285588,0.90291935,0.000059111768,0.00051669,0.0004823686,0.007724423,0.011352162,0.010257956,0.010462095,0.02420173,0.031409904],"study_design_scores_gemma":[0.004000343,0.0022067272,0.7582955,0.00038396436,0.000436332,0.0034995743,0.029381013,0.0017780741,0.0128065515,0.03263518,0.15364194,0.0009348083],"about_ca_topic_score_codex":0.0108174635,"about_ca_topic_score_gemma":0.04006435,"teacher_disagreement_score":0.14462385,"about_ca_system_score_codex":0.0017264431,"about_ca_system_score_gemma":0.0007878023,"threshold_uncertainty_score":0.99963105},"labels":[],"label_agreement":null},{"id":"W4402986630","doi":"10.3390/smartcities7050108","title":"A Comprehensive Review of Life Cycle Assessment (LCA) Studies in Roofing Industry: Current Trends and Future Directions","year":2024,"lang":"en","type":"review","venue":"Smart Cities","topic":"Environmental Impact and Sustainability","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":"National Research Council Canada","funders":"","keywords":"Current (fluid); Life-cycle assessment; Architectural engineering; Engineering; Economics; Production (economics); Electrical engineering","score_opus":0.06637842234344149,"score_gpt":0.3986816048761883,"score_spread":0.3323031825327468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4402986630","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0007797265,0.9957283,1.731879e-7,0.00028127022,0.0005326177,0.00045737153,0.00007896809,0.000026117104,0.002115462],"genre_scores_gemma":[0.00010785687,0.99894917,0.000040180996,0.0000707276,0.00012685957,0.00018230437,0.00003456759,0.000026028283,0.00046228958],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99802417,0.0002770517,0.0006633188,0.0004375586,0.00031346822,0.00028443013],"domain_scores_gemma":[0.9992678,0.000104476414,0.00020642366,0.0002994837,0.000008509703,0.00011330508],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00032213557,0.00040789324,0.0014758839,0.00015443492,0.00009198497,0.000023718398,0.00015160565,0.00019331952,0.00042020757],"category_scores_gemma":[0.00003993527,0.00030537447,0.00026514594,0.00061838055,0.00059494877,0.000148514,0.0005577335,0.0008747931,0.000014715386],"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":[8.4413637e-7,0.000057897207,0.0013467597,0.10911268,0.000092315306,0.000005671686,0.00043778133,0.0000014329053,2.9258583e-8,0.0000278443,0.002278295,0.88663846],"study_design_scores_gemma":[0.00006175467,0.00003977743,0.0049032513,0.032943115,0.00043334984,0.000008917777,0.0014246431,0.0000036701795,4.0762558e-8,0.000108749984,0.9598146,0.0002581273],"about_ca_topic_score_codex":0.00009979248,"about_ca_topic_score_gemma":0.00005971704,"teacher_disagreement_score":0.9575363,"about_ca_system_score_codex":0.0007954199,"about_ca_system_score_gemma":0.00006898801,"threshold_uncertainty_score":0.99993986},"labels":[],"label_agreement":null},{"id":"W4403039942","doi":"10.1007/978-3-031-60415-7_11","title":"Long-Term Feasibility Assessment of Building-Level Carbon-Capturing Technology: A Life Cycle Thinking-Based System Dynamics Model","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Okanagan University College; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Term (time); Life-cycle assessment; Dynamics (music); Architectural engineering; Systems engineering; Computer science; Environmental science; Engineering; Psychology; Physics; Economics; Pedagogy","score_opus":0.010254665510885205,"score_gpt":0.23881310781715737,"score_spread":0.22855844230627215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403039942","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.36225843,0.0010086411,0.6088044,0.0002631796,0.0005032049,0.001750962,0.00017685216,0.0006957152,0.024538593],"genre_scores_gemma":[0.9929609,0.000009347947,0.006434043,0.000024997298,0.00004045714,0.000036731275,0.00002435321,0.00014786031,0.00032134616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9971636,0.000014058813,0.00069458917,0.00089129596,0.0006544998,0.00058196497],"domain_scores_gemma":[0.9985731,0.00013635069,0.00019832615,0.00092123286,0.0000122191705,0.00015876642],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00048240248,0.00070210826,0.0007786333,0.00035031387,0.000056024706,0.00004379374,0.00058519305,0.00084690703,0.000075243304],"category_scores_gemma":[0.000114948896,0.00070136756,0.00025059443,0.00020926571,0.00023703964,0.00009001248,0.0006164633,0.0014512881,0.000003827153],"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":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000071415143,0.00004734293,0.043700337,0.001444784,0.000049713042,0.000058238595,0.00008974879,0.95092213,0.00040069365,0.0029723088,3.3352913e-7,0.00030725368],"study_design_scores_gemma":[0.0002730048,0.00005692729,0.009904208,0.0010828652,0.00009630318,0.000010004241,0.0000068710137,0.9786398,0.00040914628,0.008888422,0.0000033893796,0.0006290982],"about_ca_topic_score_codex":0.00011516925,"about_ca_topic_score_gemma":0.0010638302,"teacher_disagreement_score":0.63070244,"about_ca_system_score_codex":0.0059051556,"about_ca_system_score_gemma":0.00009214439,"threshold_uncertainty_score":0.9995437},"labels":[],"label_agreement":null},{"id":"W4403073394","doi":"10.13073/fpj-d-24-00016","title":"A Review of Cradle-to-Gate Greenhouse Gas Emission Factors for Canada’s Harvested Wood Products","year":2024,"lang":"en","type":"review","venue":"Forest Products Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Environmental science; Engineering; Waste management; Forestry; Geography; Ecology; Biology","score_opus":0.03269262587808263,"score_gpt":0.2994450374091531,"score_spread":0.2667524115310705,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403073394","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0025016055,0.990581,0.0000064863325,0.0014592279,0.0009395025,0.0041311434,0.00021283951,0.000032518525,0.00013567497],"genre_scores_gemma":[0.00018584038,0.9933114,0.0006036107,0.00015875246,0.00040092546,0.000086632346,0.00010400633,0.0001441918,0.005004647],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9954303,0.00026413327,0.0015141008,0.0010252802,0.0009083955,0.00085779314],"domain_scores_gemma":[0.99729663,0.000095066156,0.00086295424,0.001031359,0.000087498185,0.00062651414],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0014930638,0.00081447326,0.0018780999,0.00014642705,0.00025219237,0.00009654868,0.0009120532,0.00018759786,0.00030477892],"category_scores_gemma":[0.003444025,0.0005319566,0.00048332408,0.00095826486,0.00018723121,0.00036570628,0.0005073297,0.00089633744,0.000057252397],"study_design_candidate":"not_applicable","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":[0.00003914327,0.00039489998,0.00028833636,0.39411235,0.00028682148,0.00008395775,0.00025508416,0.00007162775,0.000021960182,0.000008921796,0.35773513,0.24670178],"study_design_scores_gemma":[0.000117950534,0.00029067483,0.00022315074,0.04920211,0.0010217216,0.0002838562,0.0000249249,0.0000032402265,0.00004268925,0.00009974513,0.9481479,0.00054203375],"about_ca_topic_score_codex":0.011365957,"about_ca_topic_score_gemma":0.021766966,"teacher_disagreement_score":0.5904128,"about_ca_system_score_codex":0.0024507623,"about_ca_system_score_gemma":0.001775508,"threshold_uncertainty_score":0.9997132},"labels":[],"label_agreement":null},{"id":"W4403116245","doi":"10.1080/21683565.2024.2421977","title":"Flow approaches in agri-food systems research: revealing blind spots to support social-ecological transformation","year":2024,"lang":"en","type":"article","venue":"Agroecology and Sustainable Food Systems","topic":"Environmental Impact and Sustainability","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":"ASTER","funders":"","keywords":"Framing (construction); Ecological footprint; Food systems; Corporate governance; Environmental resource management; Business; Agriculture; Sustainability; Environmental economics; Computer science; Economics; Ecology; Geography; Food security; Biology","score_opus":0.09029901042411824,"score_gpt":0.31078873028156945,"score_spread":0.2204897198574512,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403116245","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9839829,0.00063924154,0.00029149288,0.001089548,0.00031086587,0.0022403316,0.000020936299,0.00008888556,0.011335765],"genre_scores_gemma":[0.9944999,0.000023000901,0.000030294748,0.000059671896,0.00011206036,0.00066312344,0.000031694868,0.00002722883,0.004552975],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.9955,0.0010669248,0.0006850616,0.0007484523,0.0004946711,0.0015048628],"domain_scores_gemma":[0.9990665,0.00031189204,0.000057672893,0.00024768978,0.00002838026,0.00028787216],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0060845907,0.0002991095,0.0005038972,0.0003289455,0.00068167306,0.00030512016,0.00029383108,0.0004860272,0.00016882972],"category_scores_gemma":[0.00016419629,0.00025787245,0.00008529558,0.0009179775,0.00040077537,0.00068921386,0.0003444867,0.00063604605,0.00015993351],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0031805183,0.005056791,0.20558278,0.026182236,0.00089257135,0.004867941,0.21181084,0.14634682,0.0015988237,0.32835045,0.026923643,0.039206564],"study_design_scores_gemma":[0.0034501404,0.014503431,0.40128782,0.00016864044,0.00012521107,0.0005005769,0.42718154,0.045895673,0.0001413113,0.0078438865,0.096952185,0.0019495693],"about_ca_topic_score_codex":0.00053211575,"about_ca_topic_score_gemma":0.00036185348,"teacher_disagreement_score":0.32050657,"about_ca_system_score_codex":0.0018538049,"about_ca_system_score_gemma":0.0000934853,"threshold_uncertainty_score":0.99998736},"labels":[],"label_agreement":null},{"id":"W4403431588","doi":"10.3390/engproc2024076008","title":"From Grinding to Green Energy: Pursuit of Net-Zero Emissions in Cement Production","year":2024,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Grinding; Cement; Production (economics); Zero emission; Zero (linguistics); Environmental science; Waste management; Zero-energy building; Renewable energy; Automotive engineering; Engineering; Materials science; Mechanical engineering; Metallurgy; Economics; Electrical engineering","score_opus":0.010312379343806579,"score_gpt":0.251428212490204,"score_spread":0.2411158331463974,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403431588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990143,0.000036230602,0.00088076445,0.002433455,0.00014153645,0.00018043316,0.000005270078,0.000031187927,0.0061481325],"genre_scores_gemma":[0.99076736,0.000009028553,0.00060941,0.00012590465,0.00003928092,0.000019220406,0.000007162449,0.000008552021,0.008414065],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989865,0.000029458362,0.00019228633,0.00031763522,0.00027543757,0.0001987106],"domain_scores_gemma":[0.99964184,0.000020102832,0.000015753394,0.00021111178,0.0000011624384,0.00011003029],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002114744,0.00009426865,0.00009862702,0.000049525486,0.00003276895,0.000020377718,0.00014701964,0.00003750034,0.0040480406],"category_scores_gemma":[0.000025146763,0.00007740717,0.000035388304,0.00028915275,0.000056467612,0.00020120361,0.00026948872,0.00006493959,0.00009553682],"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":[0.00005307925,0.00045903306,0.4803859,0.000048232243,0.00002573354,0.000029214716,0.0061750067,0.0063252714,0.32211617,0.0005253726,0.018796187,0.1650608],"study_design_scores_gemma":[0.0002116868,0.00020004701,0.8106455,0.000094395386,0.000022224456,0.0000028417792,0.0017182209,0.0012591131,0.10606531,0.013287134,0.06610397,0.00038955157],"about_ca_topic_score_codex":0.01612065,"about_ca_topic_score_gemma":0.0011414877,"teacher_disagreement_score":0.3302596,"about_ca_system_score_codex":0.00050620164,"about_ca_system_score_gemma":0.0000074105974,"threshold_uncertainty_score":0.9968624},"labels":[],"label_agreement":null},{"id":"W4403482813","doi":"10.1016/j.trd.2024.104439","title":"Environmental life-cycle impacts of bitumen: Systematic review and new Canadian models","year":2024,"lang":"en","type":"article","venue":"Transportation Research Part D Transport and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"École de Technologie Supérieure; Polytechnique Montréal","funders":"Haute école Spécialisée de Suisse Occidentale; Mitacs; École Polytechnique Fédérale de Lausanne; Polytechnique Montréal; Université du Québec à Montréal","keywords":"Asphalt; Life-cycle assessment; Environmental science; Engineering; Forensic engineering; Natural resource economics; Economics; Geography; Archaeology","score_opus":0.030915176058847995,"score_gpt":0.284019607662312,"score_spread":0.253104431603464,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403482813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9523891,0.04091214,0.0002577021,0.00225532,0.00004217526,0.0027231316,0.00032763128,0.00004782247,0.001044957],"genre_scores_gemma":[0.9620973,0.03656881,0.00013710385,0.0002578541,0.000014356918,0.00010485823,0.00011668428,0.00003692257,0.0006660979],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99713033,0.00011002095,0.00068669673,0.0006126467,0.0008032425,0.00065708096],"domain_scores_gemma":[0.9982645,0.00006923194,0.00005751924,0.0003682879,0.0000025928223,0.0012378856],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010102484,0.0003004471,0.0005267429,0.00013098787,0.00019613413,0.000030458408,0.00017423325,0.0001213857,0.0038070935],"category_scores_gemma":[0.000008799616,0.00026320794,0.000111407375,0.00020476394,0.00068511505,0.00057614455,0.000018976814,0.00032394903,0.000109915876],"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":[0.00026896587,0.0014545695,0.5402414,0.39245293,0.0012773348,0.0008922829,0.02939283,0.010002298,0.0052398755,0.003796144,0.007967511,0.007013873],"study_design_scores_gemma":[0.0013850641,0.00081387267,0.95902306,0.012420064,0.0018541127,0.00002864888,0.0021562127,0.0024535316,0.0005557461,0.006600361,0.01119924,0.0015101108],"about_ca_topic_score_codex":0.026284765,"about_ca_topic_score_gemma":0.010887843,"teacher_disagreement_score":0.41878164,"about_ca_system_score_codex":0.00034678084,"about_ca_system_score_gemma":0.000083235514,"threshold_uncertainty_score":0.999982},"labels":[],"label_agreement":null},{"id":"W4403494513","doi":"10.3390/engproc2024076019","title":"CO2 Emissions Projections of the North American Cement Industry","year":2024,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Mitacs; University of Regina","keywords":"Cement; Environmental science; Archaeology; Geography","score_opus":0.010005074161297096,"score_gpt":0.25908438196841405,"score_spread":0.24907930780711696,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403494513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.963877,0.000006300758,0.000052552572,0.0009681589,0.000064311986,0.00019644237,0.00000603851,0.000029861274,0.034799334],"genre_scores_gemma":[0.9864777,0.0000045025226,0.0001149889,0.0001276161,0.000010313644,0.000013894913,0.000001039487,0.0000052671885,0.013244707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999366,0.000031575848,0.00011784877,0.0001487221,0.00019045897,0.00014538632],"domain_scores_gemma":[0.9996582,0.000019091018,0.00002246165,0.00023187115,0.0000013300928,0.00006699173],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007547282,0.000068831374,0.000060279977,0.0000118287635,0.00010258522,0.000013131946,0.00013563308,0.00002675187,0.003780807],"category_scores_gemma":[0.000020069843,0.00003920729,0.000057523564,0.0004617473,0.00044088424,0.00008229123,0.00021863185,0.00020636873,0.00007711029],"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":[0.00000157467,0.000085450985,0.9889982,0.000006917987,0.000006819728,8.707308e-7,0.0003506043,0.0003604903,0.000682885,0.0000581193,0.004885949,0.0045621335],"study_design_scores_gemma":[0.000026077741,0.000043141823,0.97652197,0.0000044995177,0.0000106523985,0.00000185605,0.0010661697,0.00034348527,0.0016054687,0.00007019204,0.020245742,0.00006077423],"about_ca_topic_score_codex":0.0015242543,"about_ca_topic_score_gemma":0.00052923727,"teacher_disagreement_score":0.02260067,"about_ca_system_score_codex":0.00023698727,"about_ca_system_score_gemma":0.00001938166,"threshold_uncertainty_score":0.99712986},"labels":[],"label_agreement":null},{"id":"W4403594186","doi":"10.2139/ssrn.4995117","title":"Wheels of Progress: An Ecological Economic Assessment of Quebec's Sustainable Mobility Plan","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"McGill University","funders":"","keywords":"Plan (archaeology); Environmental planning; Business; Geography; Environmental resource management; Natural resource economics; Ecology; Economics; Biology","score_opus":0.007473301956847866,"score_gpt":0.28183476563449467,"score_spread":0.2743614636776468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403594186","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950891,0.0008485188,0.00013681012,0.000308551,0.00017229338,0.0008254497,0.00003261422,0.00003049958,0.002556124],"genre_scores_gemma":[0.99710524,0.00066139566,0.00037313506,0.000011651131,0.00008567255,0.000047535603,0.00002505223,0.000035294783,0.0016550345],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9951599,0.0003999978,0.0009443914,0.0006910246,0.00048197166,0.0023226999],"domain_scores_gemma":[0.998384,0.00005690904,0.00061527314,0.00069495843,0.000021922378,0.00022692724],"candidate_categories":["metaepi_narrow","research_integrity","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0048358566,0.00041371078,0.0007055081,0.00010499385,0.0001276104,0.00008885669,0.0008872536,0.00039149757,0.0013134453],"category_scores_gemma":[0.00004026589,0.00034710453,0.0003798255,0.00009812473,0.0009195624,0.00030177916,0.0019662282,0.003700178,0.000019870718],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00029279274,0.0058096256,0.8572219,0.0012524612,0.0008160775,0.0000677647,0.0015308313,0.031063803,0.000519833,0.07655311,0.00026837536,0.024603454],"study_design_scores_gemma":[0.00041354302,0.0015280613,0.3283792,0.000043709486,0.00015801488,0.0000735311,0.0076244525,0.0020458607,0.0002732467,0.65875757,0.0002523384,0.00045047398],"about_ca_topic_score_codex":0.0068048267,"about_ca_topic_score_gemma":0.014610647,"teacher_disagreement_score":0.58220446,"about_ca_system_score_codex":0.016439078,"about_ca_system_score_gemma":0.0034238717,"threshold_uncertainty_score":0.9998981},"labels":[],"label_agreement":null},{"id":"W4403606691","doi":"10.1021/acs.est.4c07634","title":"Mitigating Grand Challenges in Life Cycle Inventory Modeling through the Applications of Large Language Models","year":2024,"lang":"en","type":"review","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":33,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Grand Challenges; Computer science; Environmental science","score_opus":0.03094726471373411,"score_gpt":0.31249064686269173,"score_spread":0.28154338214895763,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403606691","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.011416471,0.98324865,0.00035161202,0.00023734935,0.000058956895,0.0014879771,0.00004913017,0.000084499654,0.0030653584],"genre_scores_gemma":[0.30007666,0.69914865,0.00018439398,0.000029734529,0.000018924751,0.00042580024,0.000010748334,0.000037653204,0.000067461406],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9964888,0.00011168669,0.0007946331,0.0010845748,0.00068004144,0.0008402601],"domain_scores_gemma":[0.99846315,0.00004000062,0.00026451878,0.0011012626,0.0000015962479,0.00012943942],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.001083017,0.00047428583,0.00082010624,0.00033109754,0.0003379658,0.000031783933,0.0016633311,0.00038284587,0.00022671599],"category_scores_gemma":[0.000049486778,0.0003366859,0.00024985365,0.0015521416,0.0035831942,0.0005311223,0.0021591457,0.0008669841,0.00021202331],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000058077076,0.0010086169,0.0006927837,0.0028561722,0.000069417845,0.000036955913,0.010848529,0.013500688,0.0001916122,0.0058302507,0.000038575516,0.9649206],"study_design_scores_gemma":[0.001426858,0.00052454136,0.00016687706,0.005522514,0.0014934203,0.00026306685,0.09322274,0.12852332,0.00027080966,0.13024299,0.6340408,0.004302116],"about_ca_topic_score_codex":0.00012157309,"about_ca_topic_score_gemma":0.00009163963,"teacher_disagreement_score":0.9606185,"about_ca_system_score_codex":0.0013862633,"about_ca_system_score_gemma":0.00007243604,"threshold_uncertainty_score":0.9999085},"labels":[],"label_agreement":null},{"id":"W4403762213","doi":"10.2139/ssrn.4960374","title":"Quantifying material stocks in long-lived products: research frontiers for sustainable resource-use strategies","year":2024,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Resource use; Resource (disambiguation); Natural resource economics; Business; Environmental resource management; Environmental science; Economics; Computer science","score_opus":0.038992143982091505,"score_gpt":0.3342298672001498,"score_spread":0.2952377232180583,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403762213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99164057,0.0020892948,0.0010431646,0.0011283038,0.00043770458,0.0024427865,0.000018451568,0.00006115289,0.0011385788],"genre_scores_gemma":[0.984366,0.0010966854,0.00044244865,0.00001946421,0.00039553267,0.00020703579,0.00005926453,0.000113042006,0.01330055],"study_design_codex":"observational","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99057764,0.00068481767,0.0007446339,0.0011268391,0.0009372117,0.005928846],"domain_scores_gemma":[0.9987032,0.00011031865,0.0002185685,0.00069764437,0.00007066397,0.00019959529],"candidate_categories":["metaepi_narrow","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.011250262,0.00051562936,0.0005542512,0.00042477055,0.000559615,0.0013896385,0.0009789356,0.0004641677,0.00015685319],"category_scores_gemma":[0.00057320006,0.0004744726,0.00023531828,0.00048659256,0.0005779876,0.00076862273,0.0023307086,0.0077174357,0.000035722365],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.019603942,0.0056344126,0.4706193,0.013525289,0.0030760875,0.0024041294,0.044625174,0.19827434,0.011045912,0.10571868,0.0807351,0.04473764],"study_design_scores_gemma":[0.001026249,0.0009512335,0.017120516,0.0002219859,0.000107387714,0.00013880628,0.13580224,0.0010389929,0.00062230753,0.8339044,0.008061455,0.001004441],"about_ca_topic_score_codex":0.0035653282,"about_ca_topic_score_gemma":0.003627728,"teacher_disagreement_score":0.7281857,"about_ca_system_score_codex":0.018375805,"about_ca_system_score_gemma":0.0028919133,"threshold_uncertainty_score":0.9997707},"labels":[],"label_agreement":null},{"id":"W4403832028","doi":"10.53098/wir.2013.1.158/03","title":"The use of cluster analysis in the classification of similarities in variables associated with agricultural greenhouse gases emissions in OECD countries","year":2013,"lang":"en","type":"article","venue":"Wieś i Rolnictwo","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Cluster (spacecraft); Agriculture; Environmental science; Geography; Computer science; Ecology; Biology","score_opus":0.017222860937356067,"score_gpt":0.22372121856584976,"score_spread":0.2064983576284937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403832028","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983536,0.000034303303,0.00001408991,0.0008728065,0.000006071384,0.0004045702,0.0000151819395,0.0000050581702,0.0002943018],"genre_scores_gemma":[0.99952537,0.000047594873,0.000053990992,0.0001102382,0.0000021983751,0.00005239216,0.000016883538,0.0000046353703,0.00018667518],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985759,0.00033026404,0.00037746015,0.00016044844,0.00031611123,0.00023976904],"domain_scores_gemma":[0.99882424,0.0006810169,0.00016312103,0.00029032698,0.00001179318,0.000029495553],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00056409644,0.000115506526,0.00020950941,0.000058041274,0.00007929338,0.000042308864,0.00024025305,0.00006652112,0.00021617812],"category_scores_gemma":[0.00021391212,0.000056593617,0.000051891868,0.0006009295,0.00044183014,0.00046166274,0.00007900972,0.00014182775,0.0000037680913],"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":[0.00002351236,0.00019575849,0.98202705,0.0000047010135,0.000022613154,8.701393e-7,0.0021803305,0.01465568,0.00046179123,0.000040541545,0.0002914097,0.00009575926],"study_design_scores_gemma":[0.0002835347,0.000042799944,0.98983306,0.000016165935,0.000039146034,3.9268554e-7,0.0048059905,0.00448814,0.000098193275,0.00019111138,0.00012495973,0.00007650098],"about_ca_topic_score_codex":0.0070049153,"about_ca_topic_score_gemma":0.03087383,"teacher_disagreement_score":0.023868913,"about_ca_system_score_codex":0.00026145135,"about_ca_system_score_gemma":0.000013039433,"threshold_uncertainty_score":0.9996075},"labels":[],"label_agreement":null},{"id":"W4403866196","doi":"10.5334/bdc.k","title":"Monitoring and evaluating EPAs and EPA frameworks","year":2024,"lang":"en","type":"book-chapter","venue":"Ubiquity Press eBooks","topic":"Environmental Impact and Sustainability","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":"Queen's University","funders":"","keywords":"Environmental science; Computer science; Environmental resource management","score_opus":0.03448258160258042,"score_gpt":0.3004182408409973,"score_spread":0.26593565923841683,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4403866196","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08640186,0.0018760808,0.000018345425,0.00004038936,0.00022185818,0.000580498,0.00002016734,0.000064758875,0.910776],"genre_scores_gemma":[0.17748089,0.00036384707,0.00077021465,0.000057319186,0.00021204226,0.000035366364,0.0000035181977,0.00008767272,0.82098913],"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9981511,0.000029461522,0.0002979031,0.0007059085,0.000452878,0.00036275235],"domain_scores_gemma":[0.9991289,0.00010486508,0.00010201593,0.0004213233,0.0000055376177,0.00023740965],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004381193,0.0004116971,0.0003327044,0.00003230218,0.00016141702,0.00016671902,0.0001756077,0.00065734197,0.00043299643],"category_scores_gemma":[0.0000358639,0.0003900386,0.00008237169,0.0000050116455,0.0006445643,0.000115767856,0.0014371002,0.0011483078,0.000056764657],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013636136,0.0000583409,0.010395471,0.0011262703,0.0002967972,0.00025929054,0.007784729,0.0001027871,0.0023858142,0.051956214,0.0005229269,0.924975],"study_design_scores_gemma":[0.0010622559,0.00093940843,0.018501174,0.0021844092,0.0011524437,0.00017129946,0.00045501973,0.0022722878,0.006032034,0.5171658,0.4464339,0.003629995],"about_ca_topic_score_codex":0.0002601085,"about_ca_topic_score_gemma":0.0000148501185,"teacher_disagreement_score":0.921345,"about_ca_system_score_codex":0.00030144994,"about_ca_system_score_gemma":0.000008787951,"threshold_uncertainty_score":0.99985516},"labels":[],"label_agreement":null},{"id":"W4404033169","doi":"10.1016/j.spc.2024.11.001","title":"Unveiling the potential for decarbonization of the building sector: A comparative study of technological and non-technological low-carbon strategies","year":2024,"lang":"en","type":"article","venue":"Sustainable Production and Consumption","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Carbon fibers; Technological change; Economics; Economic system; Engineering; Engineering physics; Materials science; Macroeconomics","score_opus":0.013302425539647415,"score_gpt":0.2672852526807812,"score_spread":0.2539828271411338,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404033169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99683833,0.00038807833,0.0010758563,0.00025510235,0.000045390596,0.0012928909,9.4682434e-7,0.000039199425,0.000064209366],"genre_scores_gemma":[0.99968445,0.0000620509,0.00006215814,0.0000029714827,0.0000097911925,0.00006472231,6.8665963e-7,0.000004787017,0.00010836988],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.99913096,0.000087305285,0.00019128832,0.0002846632,0.00014987816,0.00015590088],"domain_scores_gemma":[0.9996807,0.000039557995,0.00007334347,0.0001679592,0.000021214119,0.0000172491],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054864195,0.00010293484,0.00012689094,0.00004214597,0.00021370934,0.00004602344,0.000087095184,0.00007466412,0.000017136506],"category_scores_gemma":[0.00009711544,0.000060202197,0.000027603592,0.0002604907,0.0009629842,0.00018639966,0.00018389833,0.00013774846,2.2245092e-7],"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":[0.0010159761,0.0027853257,0.39047357,0.0035625526,0.00030536807,0.000016600014,0.030532867,0.037561096,0.45655876,0.041807428,0.00009384434,0.03528658],"study_design_scores_gemma":[0.000948497,0.001023048,0.4019673,0.00012692685,0.00026549268,0.000045152665,0.45106024,0.051842246,0.05799015,0.03403314,0.00027261022,0.00042522865],"about_ca_topic_score_codex":0.000072142546,"about_ca_topic_score_gemma":0.000020156673,"teacher_disagreement_score":0.42052737,"about_ca_system_score_codex":0.0001153539,"about_ca_system_score_gemma":0.000014739602,"threshold_uncertainty_score":0.35481554},"labels":[],"label_agreement":null},{"id":"W4404073012","doi":"10.3390/data9110129","title":"Data Hub for Life Cycle Assessment of Climate Change Solutions—Hydrogen Case Study","year":2024,"lang":"en","type":"article","venue":"Data","topic":"Environmental Impact and Sustainability","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":"BC Innovation Council; National Research Council Canada","funders":"","keywords":"Climate change; Life-cycle assessment; Environmental science; Climatology; Computer science; Economics; Oceanography; Geology","score_opus":0.15678831602495247,"score_gpt":0.4059222087149405,"score_spread":0.24913389268998803,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404073012","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9793214,0.00023539986,0.00058035407,0.00032421967,0.00012153291,0.0013968024,0.017386986,0.00005077542,0.0005825369],"genre_scores_gemma":[0.9966593,0.00007131607,0.0010059796,0.00007471827,0.000057135585,0.000065453576,0.0020228578,0.000016393446,0.00002689429],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9985395,0.00006568213,0.0002455666,0.0005939446,0.00023516857,0.00032012336],"domain_scores_gemma":[0.99740094,0.00007657728,0.00004267759,0.0023546873,0.0000021925723,0.00012293889],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012197723,0.000119691846,0.00014623087,0.000023156232,0.00016227085,0.000045600285,0.0009290454,0.000033923316,0.0006288469],"category_scores_gemma":[0.00007042263,0.00010548646,0.00002643228,0.00014004312,0.00012780698,0.0010892694,0.0047125677,0.00008314267,0.000054463006],"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":[0.000075993725,0.0069840653,0.7761865,0.0009562745,0.0004198176,0.002158273,0.004860628,0.00082571845,0.00096269435,0.0004177498,0.034532227,0.17162006],"study_design_scores_gemma":[0.0011320543,0.0007063547,0.2082609,0.00004163165,0.00049626746,0.00023286924,0.015077431,0.70899415,0.00003165648,0.00044255704,0.06393193,0.0006522052],"about_ca_topic_score_codex":0.001590726,"about_ca_topic_score_gemma":0.0009964971,"teacher_disagreement_score":0.70816845,"about_ca_system_score_codex":0.00013996336,"about_ca_system_score_gemma":0.00002060948,"threshold_uncertainty_score":0.68854326},"labels":[],"label_agreement":null},{"id":"W4404127810","doi":"10.1002/cjce.25539","title":"A critical review of life cycle assessment and environmental impact of the well drilling process","year":2024,"lang":"en","type":"review","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Process (computing); Drilling; Environmental science; Engineering; Computer science; Mechanical engineering; Economics","score_opus":0.011288455085283861,"score_gpt":0.29143212350837255,"score_spread":0.2801436684230887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404127810","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.024259659,0.97507244,0.00000766492,0.0001158979,0.00008411611,0.00029052474,0.00004764537,0.000002264324,0.00011978148],"genre_scores_gemma":[0.4598217,0.53999305,0.0000537248,0.00003267808,0.000051966043,0.0000052350074,0.0000025371942,0.00003227114,0.000006854564],"study_design_codex":"systematic_review","study_design_gemma":"systematic_review","domain_scores_codex":[0.9983868,0.000062377185,0.0007479741,0.00014857488,0.00036066244,0.00029361036],"domain_scores_gemma":[0.9988558,0.00014211556,0.00026549303,0.0002642419,0.000007120634,0.00046520366],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00058943796,0.00027088576,0.0008635592,0.000045731966,0.00004365181,0.000023065311,0.00049760257,0.0001184718,0.00039139393],"category_scores_gemma":[0.0002919194,0.00014160422,0.00059465016,0.00019602153,0.00049610593,0.00009952245,0.00012166902,0.000740297,0.0000030590504],"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":[0.000032520362,0.000604374,0.012367765,0.688637,0.0034585474,0.00029365887,0.0026847282,0.03470514,0.0023835874,0.00042419002,0.0036824357,0.25072604],"study_design_scores_gemma":[0.0018551509,0.0014042981,0.011349089,0.6569825,0.02281842,0.0056601125,0.00051218696,0.027567962,0.0016387438,0.0022649933,0.26219508,0.0057514585],"about_ca_topic_score_codex":0.0003481776,"about_ca_topic_score_gemma":0.000010199269,"teacher_disagreement_score":0.43556204,"about_ca_system_score_codex":0.0012704165,"about_ca_system_score_gemma":0.0004612114,"threshold_uncertainty_score":0.57744527},"labels":[],"label_agreement":null},{"id":"W4404208568","doi":"10.1787/8bc8ad6f-en","title":"Case study on the Use of Integrated Approaches for Testing and Assessment (IATA) for Bioaccumulation - Ninth Review Cycle (2023)","year":2024,"lang":"en","type":"book","venue":"OECD series on testing and assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Ninth; Bioaccumulation; Environmental science; Chemistry; Environmental chemistry; Physics","score_opus":0.21718300169180751,"score_gpt":0.35697291556557686,"score_spread":0.13978991387376935,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404208568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9123262,0.0019038168,0.0013157447,0.002646533,0.000450333,0.028823702,0.0020535132,0.0003423989,0.05013772],"genre_scores_gemma":[0.72212845,0.0009653398,0.1712868,0.001336307,0.00030976714,0.004670668,0.0007480188,0.00044011834,0.09811451],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979117,0.00015745645,0.0005563097,0.0007139252,0.00035443425,0.0003061923],"domain_scores_gemma":[0.9963419,0.0027174584,0.00037379202,0.00043756535,0.000027945578,0.00010133335],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013029143,0.00045297216,0.0005268182,0.000050748546,0.0004327831,0.00018160786,0.0001312393,0.000111676636,0.000037637015],"category_scores_gemma":[0.0006989186,0.00030659648,0.00008791709,0.0001167583,0.00031821968,0.00021154473,0.0002601012,0.0004255777,0.000002362237],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024656783,0.0031571898,0.12692092,0.015123019,0.00071976567,0.00035414883,0.0016159087,0.0040356102,0.00028624188,0.0025711162,0.018576926,0.8263926],"study_design_scores_gemma":[0.006525731,0.06158767,0.22797823,0.027127925,0.007308995,0.001489562,0.037022807,0.3053639,0.0003262664,0.044486273,0.27265155,0.008131105],"about_ca_topic_score_codex":0.00034863295,"about_ca_topic_score_gemma":0.00005040752,"teacher_disagreement_score":0.8182615,"about_ca_system_score_codex":0.0006549779,"about_ca_system_score_gemma":0.00013275641,"threshold_uncertainty_score":0.9999386},"labels":[],"label_agreement":null},{"id":"W4404411520","doi":"10.1109/pvsc57443.2024.10749076","title":"Importance of Spectral Effects in Energy Yield Predictions for High Latitude Locations","year":2024,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Yield (engineering); Latitude; High latitude; Environmental science; Energy (signal processing); Atmospheric sciences; Remote sensing; Computer science; Geology; Geodesy; Materials science; Statistics; Mathematics","score_opus":0.005941758682288051,"score_gpt":0.231629073542482,"score_spread":0.22568731486019394,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404411520","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93508166,0.0000979754,0.057164904,0.00049185235,0.00011955112,0.0003224488,0.000014264436,0.000049369995,0.006657948],"genre_scores_gemma":[0.996103,0.000015587433,0.002104787,0.000073092844,0.000018260265,0.00007364351,0.000007852808,0.00000712455,0.0015966772],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993998,0.000010762531,0.00015696014,0.00017724808,0.0000969767,0.00015825723],"domain_scores_gemma":[0.999658,0.00013289101,0.000015140079,0.00014801574,0.0000012765352,0.000044695207],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009995608,0.000069762245,0.00008278319,0.000029025192,0.0000309484,0.0000097002685,0.00007491133,0.000033738856,0.0007917348],"category_scores_gemma":[0.000040281062,0.000060283084,0.000042543623,0.00016680149,0.00010550382,0.00017135125,0.000039745068,0.000046864196,0.000011555089],"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":[0.000026661817,0.00052534684,0.83548766,0.0002098846,0.000033667387,0.000012643031,0.00062078115,0.06611542,0.009264946,0.077052005,0.0055975383,0.0050534406],"study_design_scores_gemma":[0.00015469707,0.00016152978,0.94836503,0.000023608525,0.000015762942,0.0000017807765,0.000092363385,0.020234866,0.008728152,0.020842908,0.0012629372,0.00011635397],"about_ca_topic_score_codex":0.0013222641,"about_ca_topic_score_gemma":0.00293788,"teacher_disagreement_score":0.11287737,"about_ca_system_score_codex":0.00024298712,"about_ca_system_score_gemma":0.00001053436,"threshold_uncertainty_score":0.86689407},"labels":[],"label_agreement":null},{"id":"W4404433455","doi":"10.1002/sd.3265","title":"Enhancing environmental, social, and governance, performance and reporting through integration of life cycle sustainability assessment framework","year":2024,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":38,"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 Calgary","funders":"Canada First Research Excellence Fund","keywords":"Sustainability; Life-cycle assessment; Corporate governance; Social sustainability; Business; Environmental governance; Environmental resource management; Sustainability reporting; Environmental Sustainability Index; Process management; Environmental planning; Environmental economics; Economics; Environmental science; Ecology; Finance","score_opus":0.011855787177084402,"score_gpt":0.28144275599935914,"score_spread":0.26958696882227473,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404433455","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913826,0.0005005514,0.0046064584,0.00040759568,0.000056738376,0.0006569756,0.0000028857164,0.000060262646,0.0023259227],"genre_scores_gemma":[0.98899966,0.00026466922,0.009084578,0.000093800256,0.000024763602,0.00008888013,0.000010396045,0.000028896739,0.0014043635],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9970708,0.000085554275,0.001062216,0.0006491574,0.0005066302,0.00062567706],"domain_scores_gemma":[0.9990657,0.00010231666,0.00042319373,0.00024581762,0.000017639959,0.00014533501],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015532115,0.00030389777,0.0003841082,0.00004125917,0.00054629723,0.00012446818,0.00013029171,0.00014690861,0.00042959614],"category_scores_gemma":[0.0004321201,0.00028016418,0.00005755091,0.00029404933,0.0005476714,0.0010266777,0.00065932225,0.00034018533,0.0000061495957],"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":[0.00010833765,0.0005135871,0.7921144,0.00412748,0.00013020454,0.00015664777,0.049604386,0.0005123948,0.003495297,0.011855515,0.00040936316,0.1369724],"study_design_scores_gemma":[0.00017574306,0.000098720455,0.9477125,0.00008164667,0.00002341673,0.000010671949,0.03175407,0.00092504855,0.003319441,0.008102814,0.0074218977,0.00037407453],"about_ca_topic_score_codex":0.00034500202,"about_ca_topic_score_gemma":0.00002243905,"teacher_disagreement_score":0.15559806,"about_ca_system_score_codex":0.0026931628,"about_ca_system_score_gemma":0.00024344616,"threshold_uncertainty_score":0.9999651},"labels":[],"label_agreement":null},{"id":"W4404442452","doi":"10.1016/j.renene.2024.121929","title":"Unveiling China's household CO2 emissions with disaggregated energy sectors: An affinity-propagation multi-regional input-output model","year":2024,"lang":"en","type":"article","venue":"Renewable Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; Natural Sciences and Engineering Research Council of Canada; Natural Science Foundation of Fujian Province","keywords":"China; Energy (signal processing); Greenhouse gas; Natural resource economics; Environmental science; Economics; Environmental economics; Geography; Mathematics; Geology; Statistics; Oceanography","score_opus":0.021420667453357793,"score_gpt":0.23579600454718724,"score_spread":0.21437533709382944,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404442452","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8580839,0.00028388613,0.1380152,0.00020527496,0.00011226247,0.0001250625,0.000032318374,0.00042456735,0.0027175099],"genre_scores_gemma":[0.9821271,0.00012633116,0.00279926,0.00022761489,0.0000919213,0.00004904993,0.0001854891,0.000083270854,0.01431],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99766296,0.0001360013,0.0003100829,0.0007761838,0.00053244835,0.0005823216],"domain_scores_gemma":[0.9988786,0.00004567267,0.00007998198,0.0005475087,0.0000082370725,0.00044000326],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00021287106,0.00038127898,0.00024970926,0.00009213022,0.00036139812,0.00015323987,0.00031360154,0.00018453963,0.0004887997],"category_scores_gemma":[0.000024189729,0.0003009549,0.0001002689,0.0005343859,0.00030607972,0.0008778221,0.00020641257,0.00018181105,0.000014363782],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005131632,0.0003340427,0.0027786817,0.00001903429,0.000030426405,0.00002940871,0.00039956177,0.9771178,0.015350506,0.00019745958,0.001051673,0.002640113],"study_design_scores_gemma":[0.00052482536,0.0002289203,0.004882282,0.00009668723,0.00005297725,0.000032364394,0.00027310065,0.956957,0.021848781,0.0010345519,0.013438243,0.0006302855],"about_ca_topic_score_codex":0.023161625,"about_ca_topic_score_gemma":0.0046811136,"teacher_disagreement_score":0.13521594,"about_ca_system_score_codex":0.00072836573,"about_ca_system_score_gemma":0.000103479426,"threshold_uncertainty_score":0.99994427},"labels":[],"label_agreement":null},{"id":"W4404447930","doi":"10.20870/jph.2023.001","title":"On the need to report the variability and data used in the determination of xylem vulnerability curve parameters","year":2023,"lang":"en","type":"article","venue":"Journal of Plant Hydraulics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Université du Québec à Montréal","funders":"Ministère des Forêts, de la Faune et des Parcs","keywords":"Xylem; Vulnerability (computing); Environmental science; Computer science; Statistics; Econometrics; Mathematics; Biology; Botany; Computer security","score_opus":0.04271167722336354,"score_gpt":0.30336013239168635,"score_spread":0.2606484551683228,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404447930","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9924551,0.0000025250572,0.00025140302,0.006441849,0.00007040575,0.00040887308,0.000038888695,0.0000036024862,0.00032734027],"genre_scores_gemma":[0.99940246,0.00001132313,0.00016396186,0.00037226925,0.000015598464,0.0000046983546,0.000010455124,0.0000045819984,0.000014633174],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780357,0.0007104861,0.0005257028,0.0001962857,0.0005801928,0.00018379139],"domain_scores_gemma":[0.9963808,0.002391176,0.0003063908,0.00085175456,0.000008702823,0.00006114599],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.011520688,0.00010714406,0.00017844547,0.000034593155,0.00011438441,0.00003777723,0.0007442731,0.000046635418,0.000031776086],"category_scores_gemma":[0.0029766483,0.00004841283,0.000050508803,0.00035633706,0.00027414435,0.00021632752,0.0003202765,0.00033506,0.000005258306],"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":[0.00026401028,0.00047331685,0.9670529,0.000031173302,0.000022722696,0.00021010265,0.00969107,0.0074260375,0.002006371,0.00013632716,0.0045415224,0.008144461],"study_design_scores_gemma":[0.0001891936,0.00019779618,0.984135,0.000013682887,0.000022684579,0.00014425178,0.0023802938,0.006535077,0.00032803672,0.004982726,0.0009917737,0.000079532896],"about_ca_topic_score_codex":0.0001824632,"about_ca_topic_score_gemma":0.00022074633,"teacher_disagreement_score":0.017082065,"about_ca_system_score_codex":0.0001512303,"about_ca_system_score_gemma":0.000019411644,"threshold_uncertainty_score":0.39928636},"labels":[],"label_agreement":null},{"id":"W4404494915","doi":"10.1007/978-3-031-67398-6_300","title":"Global Warming Potential of Nickel Pig Iron (NPI) Using Thermodynamic Modelling and Life Cycle Assessment","year":2024,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"SNC-Lavalin (Canada)","funders":"","keywords":"Nickel; Life-cycle assessment; Environmental science; Pig iron; Materials science; Metallurgy; Economics; Macroeconomics; Production (economics)","score_opus":0.012178366320151453,"score_gpt":0.25436868624122394,"score_spread":0.24219031992107248,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404494915","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60680723,0.00034512088,0.015763843,0.00005318638,0.0001434812,0.0003998488,0.00006058748,0.00004587924,0.37638083],"genre_scores_gemma":[0.9476384,0.00014918642,0.0031251642,0.000054772387,0.00004376553,0.000002494624,0.000015028238,0.000053101863,0.048918106],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99802136,0.000020120446,0.00045336984,0.00062253105,0.00052919256,0.00035341116],"domain_scores_gemma":[0.9992423,0.00001747701,0.0001560485,0.00036712797,0.0000048519432,0.00021219807],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000235177,0.00040880736,0.000403661,0.00003866939,0.00011349217,0.000051662515,0.00019992572,0.00027798014,0.0022643649],"category_scores_gemma":[0.0000029368944,0.00036584714,0.00018563747,0.000037262624,0.0004597459,0.00020893672,0.00073088275,0.00026900315,0.000045200515],"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":[0.000068969224,0.00018667566,0.0047441856,0.00053265505,0.000198709,0.000097876655,0.00037363687,0.96243906,0.0022304775,0.019088896,0.000051293144,0.009987548],"study_design_scores_gemma":[0.00025252075,0.00010262901,0.0028618437,0.00010202098,0.00026925319,0.000024245699,0.0002321367,0.93482053,0.000013985296,0.06033587,0.000389105,0.0005958793],"about_ca_topic_score_codex":0.0010793281,"about_ca_topic_score_gemma":0.000057504327,"teacher_disagreement_score":0.34083116,"about_ca_system_score_codex":0.0012840898,"about_ca_system_score_gemma":0.0000425994,"threshold_uncertainty_score":0.99987936},"labels":[],"label_agreement":null},{"id":"W4404633399","doi":"10.1007/978-3-031-70262-4_1","title":"Carbon Footprint Assessments: Case Studies and Best Practices","year":2024,"lang":"en","type":"book-chapter","venue":"Environmental footprints and eco-design of products and processes","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Greenfield Research (Canada); Office of the Chief Medical Examiner","funders":"","keywords":"Carbon footprint; Footprint; Best practice; Geography; Economics; Geology; Greenhouse gas; Archaeology; Management","score_opus":0.057499616060296424,"score_gpt":0.31426455193454894,"score_spread":0.25676493587425253,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404633399","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8760511,0.055526976,0.000021125767,0.00047580697,0.00024967024,0.002230213,0.00007999585,0.00006718534,0.06529793],"genre_scores_gemma":[0.83599496,0.043899067,0.0013309189,0.00003376598,0.00009158478,0.000048207316,0.000009551536,0.00010259495,0.11848933],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9972596,0.000047125104,0.0005627166,0.001327446,0.00041290032,0.00039019968],"domain_scores_gemma":[0.9985831,0.00018714862,0.0005721194,0.00042214856,0.000010812933,0.00022469138],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059011043,0.0006954573,0.0006845888,0.0000875974,0.00024311132,0.00010678282,0.00015129823,0.00024502896,0.00021908575],"category_scores_gemma":[0.0001287638,0.00058015395,0.00004440164,0.000051714618,0.0016643109,0.0002343619,0.0011666977,0.0004286243,0.000020909652],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022844956,0.00428301,0.07702271,0.068889566,0.007148683,0.011921456,0.029782047,0.0006520412,0.044962924,0.012830094,0.0008097059,0.73941326],"study_design_scores_gemma":[0.0061997394,0.021731734,0.011638441,0.0059280973,0.009633215,0.025167773,0.04461193,0.00057796715,0.06361924,0.39232132,0.4037541,0.014816428],"about_ca_topic_score_codex":0.00019469378,"about_ca_topic_score_gemma":0.000043408912,"teacher_disagreement_score":0.72459686,"about_ca_system_score_codex":0.0002444,"about_ca_system_score_gemma":0.000030395238,"threshold_uncertainty_score":0.99966496},"labels":[],"label_agreement":null},{"id":"W4404664638","doi":"10.3389/fenrg.2024.1513860","title":"Development of an input-output CGE model for collaborative management of water pollution reduction and carbon mitigation","year":2024,"lang":"en","type":"article","venue":"Frontiers in Energy Research","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Social Science Fund Youth Project","keywords":"Computable general equilibrium; Reduction (mathematics); Pollution; Environmental science; Carbon fibers; Environmental engineering; Pollution prevention; Natural resource economics; Waste management; Engineering; Computer science; Economics; Mathematics; Ecology","score_opus":0.02431414423189279,"score_gpt":0.2994086233473768,"score_spread":0.275094479115484,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404664638","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9873511,0.00016515814,0.011081567,0.00009067031,0.000073848416,0.00030728523,0.000006080095,0.000006972178,0.00091730396],"genre_scores_gemma":[0.9643897,0.000086160406,0.034436263,0.0000022317074,0.0000073230617,0.00009196331,0.00002486786,0.000009223597,0.0009522901],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99885756,0.0000901161,0.00021590601,0.00025851533,0.00033861617,0.00023930408],"domain_scores_gemma":[0.99978065,0.0000062195804,0.000018532352,0.00012535162,0.000015268512,0.00005395168],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00091581204,0.00007527313,0.00010883175,0.00014688224,0.00006525819,0.000013645696,0.000084199,0.000060552917,0.000007969144],"category_scores_gemma":[0.00000523537,0.00006302911,0.00001580625,0.0002723735,0.0003149167,0.00021310488,0.00012402836,0.000068589055,2.6829295e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012006081,0.0009527071,0.015679186,0.0014010192,0.00021300603,0.000014995072,0.066151075,0.15798493,0.17294239,0.0036454739,0.0014085177,0.5784061],"study_design_scores_gemma":[0.00058933714,0.00023345748,0.014923124,0.000092643895,0.000015259568,0.0000011279301,0.016203582,0.68491673,0.2645815,0.016464956,0.0017737872,0.00020449655],"about_ca_topic_score_codex":0.00013894099,"about_ca_topic_score_gemma":0.000054858952,"teacher_disagreement_score":0.5782016,"about_ca_system_score_codex":0.00065441016,"about_ca_system_score_gemma":0.000027864948,"threshold_uncertainty_score":0.25702524},"labels":[],"label_agreement":null},{"id":"W4404676975","doi":"10.1016/j.seta.2024.104100","title":"A critical review of life cycle assessment of renewable agricultural systems","year":2024,"lang":"en","type":"review","venue":"Sustainable Energy Technologies and Assessments","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Life-cycle assessment; Agriculture; Renewable energy; Natural resource economics; Environmental science; Engineering; Economics; Production (economics); Geography","score_opus":0.01606786559614941,"score_gpt":0.3333540540462775,"score_spread":0.31728618845012807,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404676975","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00005902096,0.9870041,0.00021421995,0.000082313905,0.000108685126,0.0005137976,0.00003965456,0.00012631567,0.011851885],"genre_scores_gemma":[0.007105017,0.9894241,0.00047481383,0.00001457733,0.000012833732,0.00031943654,0.000046201476,0.000037472506,0.0025655127],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.9970224,0.00014891758,0.0010255397,0.00063368847,0.00054645847,0.0006230289],"domain_scores_gemma":[0.99858373,0.00013690052,0.0004584702,0.00066142937,0.00004470134,0.000114747556],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00058269606,0.0004989808,0.0017173035,0.00013683594,0.00011469289,0.00006882668,0.0005747516,0.0004297354,0.00015450823],"category_scores_gemma":[0.00035873588,0.0003424585,0.00035272056,0.0008087845,0.0007461806,0.0003103048,0.0019119289,0.00036325149,0.0000028933378],"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":[0.0000034411476,0.00037228226,0.00017016407,0.5283635,0.00032486452,0.00008440219,0.000009633073,0.00010074389,0.0000023080593,0.046125323,0.007211848,0.41723144],"study_design_scores_gemma":[0.00013429763,0.00040921185,0.0000723532,0.0400857,0.0012875659,0.000032251664,0.0060902205,0.00018258896,0.0000067726182,0.0028749283,0.94817364,0.0006504907],"about_ca_topic_score_codex":0.0014481964,"about_ca_topic_score_gemma":0.0000060440375,"teacher_disagreement_score":0.9409618,"about_ca_system_score_codex":0.00068342517,"about_ca_system_score_gemma":0.00021274897,"threshold_uncertainty_score":0.9999027},"labels":[],"label_agreement":null},{"id":"W4404884280","doi":"10.1177/2754124x241300289","title":"China’s carbon emission forecasts in different development models","year":2024,"lang":"en","type":"article","venue":"Transactions in Earth Environment and Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Natural Science Foundation of China","keywords":"China; Environmental science; Climatology; Geography; Geology","score_opus":0.008040201332573799,"score_gpt":0.2199296440505145,"score_spread":0.2118894427179407,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404884280","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9895576,0.00027732897,0.006411871,0.0008110727,0.00006248154,0.0008584541,0.0000045814686,0.000055141525,0.0019614517],"genre_scores_gemma":[0.997054,0.00021327325,0.000277267,0.000015399703,0.000009800386,0.00014660573,0.00000776081,0.000024130688,0.0022517794],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976355,0.00014889082,0.0004911568,0.00075337203,0.00036294947,0.0006081381],"domain_scores_gemma":[0.9993902,0.00004579715,0.000026577876,0.0003393781,0.0000017999508,0.00019626357],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00057640474,0.00034360605,0.00029172478,0.00014804282,0.0001295373,0.00004629252,0.00013098761,0.00015670492,0.001240783],"category_scores_gemma":[0.0000106607695,0.00029398195,0.000079101075,0.00024557053,0.00036022215,0.00046634107,0.00008232716,0.00045384536,0.000008422382],"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":[0.00016676841,0.0013289066,0.6362985,0.00041234875,0.000021437228,0.00012473388,0.013742185,0.0843336,0.0003522026,0.000111965004,0.000006324,0.263101],"study_design_scores_gemma":[0.00047230747,0.00008485813,0.90014154,0.00003374868,0.00001278745,0.000007929436,0.0011573198,0.087609,0.0007370475,0.007080627,0.0022796218,0.00038322178],"about_ca_topic_score_codex":0.00095697015,"about_ca_topic_score_gemma":0.0005642484,"teacher_disagreement_score":0.26384303,"about_ca_system_score_codex":0.0019837343,"about_ca_system_score_gemma":0.000042114694,"threshold_uncertainty_score":0.99995124},"labels":[],"label_agreement":null},{"id":"W4404906346","doi":"10.3390/soilsystems8040125","title":"Assessing the Global Sensitivity of RUSLE Factors: A Case Study of Southern Bahia, Brazil","year":2024,"lang":"en","type":"article","venue":"Soil Systems","topic":"Environmental Impact and Sustainability","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":"Institut National de la Recherche Scientifique","funders":"","keywords":"Sensitivity (control systems); Geography; Engineering","score_opus":0.017541548489732883,"score_gpt":0.3050714643306458,"score_spread":0.2875299158409129,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4404906346","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977041,0.00011799112,0.00014640704,0.00001873973,0.00019920483,0.00042397046,0.000053062886,0.00003074105,0.0013057819],"genre_scores_gemma":[0.99981123,5.11714e-7,0.0000034152695,0.00000459118,0.000026827009,0.000006823016,0.0000012599638,0.000010313921,0.00013504097],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99827707,0.00057745766,0.00030847892,0.00024478303,0.00038792833,0.00020430356],"domain_scores_gemma":[0.99927676,0.00018956458,0.00009468072,0.00036756616,0.0000057970383,0.000065632885],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013136906,0.00014044331,0.0002220151,0.0000127260955,0.000116446165,0.00008863784,0.00010521106,0.000053943204,0.000071382],"category_scores_gemma":[0.000054900574,0.00008847837,0.0000851968,0.00024168612,0.00025244104,0.00024002047,0.00017996908,0.000102655,0.00003556375],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000033689141,0.00030277422,0.9853524,0.0001082164,0.000040470455,0.00039086302,0.009678827,0.0017321919,0.0012183258,0.000010809032,0.00003853833,0.0011231892],"study_design_scores_gemma":[0.00035126018,0.00026693215,0.3317513,0.00009549746,0.00011794396,0.00073748204,0.64929336,0.016246036,0.0005038313,0.00012202752,0.00022027595,0.0002940496],"about_ca_topic_score_codex":0.07246819,"about_ca_topic_score_gemma":0.004431193,"teacher_disagreement_score":0.6536011,"about_ca_system_score_codex":0.0003730483,"about_ca_system_score_gemma":0.000018374116,"threshold_uncertainty_score":0.9337083},"labels":[],"label_agreement":null},{"id":"W4405106496","doi":"10.4018/979-8-3693-6920-3.ch015","title":"Applications of ISO 14046 Water Footprint Assessment for Sustainable Water Management in Dairy Production","year":2024,"lang":"en","type":"book-chapter","venue":"Advances in environmental engineering and green technologies book series","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Environmental science; Water use; Footprint; Dairy industry; Wastewater; Production (economics); Ice cream; Water consumption; Environmental engineering; Agricultural science; Water resource management; Business; Geography; Food science","score_opus":0.0027199182844320543,"score_gpt":0.20440569911473713,"score_spread":0.20168578083030508,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405106496","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.23632593,0.096269615,0.011825598,0.0076533225,0.0013456316,0.046192206,0.00044331927,0.0037287613,0.5962156],"genre_scores_gemma":[0.5547399,0.024667514,0.0063903187,0.000020623926,0.000036138204,0.0024511195,0.00015182143,0.00016726971,0.41137528],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99804175,0.000005032878,0.0004693846,0.00069556,0.00022178267,0.0005664781],"domain_scores_gemma":[0.9994166,0.00001556921,0.00006000085,0.00047078982,0.000002032286,0.000034998106],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00023216744,0.00042302045,0.00038677684,0.00024152451,0.00007568556,0.000019310186,0.00026021077,0.00024953458,0.00008233603],"category_scores_gemma":[0.0000034298807,0.00033342923,0.00008227495,0.000043124237,0.0006387295,0.00060659583,0.00113122,0.00036024136,0.000013682755],"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":[0.00050685246,0.0010025706,0.01281521,0.015301084,0.00048499016,0.00047118275,0.0030420248,0.094608635,0.023521595,0.19993597,0.00008950212,0.64822036],"study_design_scores_gemma":[0.00044923337,0.00035772473,0.0010044365,0.00019483891,0.00008149179,0.000022111986,0.0042243768,0.0002546387,0.030463278,0.16002259,0.80201685,0.0009084371],"about_ca_topic_score_codex":0.000020786574,"about_ca_topic_score_gemma":0.000027697723,"teacher_disagreement_score":0.8019273,"about_ca_system_score_codex":0.0009835439,"about_ca_system_score_gemma":0.0000024033227,"threshold_uncertainty_score":0.9999118},"labels":[],"label_agreement":null},{"id":"W4405149143","doi":"10.1016/j.resconrec.2024.108061","title":"Reducing subjectivity when performing LCA for recycling systems in the paper industry through a comprehensive evaluation of different allocation methods","year":2024,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Subjectivity; Environmental economics; Risk analysis (engineering); Engineering; Business; Operations management; Waste management; Economics","score_opus":0.07487532088544428,"score_gpt":0.36731277812259583,"score_spread":0.29243745723715153,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405149143","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99373186,0.0011506809,0.0023570263,0.0010270895,0.0001335913,0.0009739129,0.0000023807945,0.000020379894,0.00060306786],"genre_scores_gemma":[0.99766684,0.00007522573,0.0018547332,0.00016126498,0.00004864625,0.00011142335,0.000010356818,0.000012027143,0.000059500726],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979695,0.00077826215,0.0004051122,0.00031015696,0.00035306127,0.00018391639],"domain_scores_gemma":[0.9986419,0.0009929249,0.00012660697,0.00018369324,0.000024368375,0.000030490653],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0034354816,0.00013693556,0.0001929123,0.00004923915,0.00019845372,0.00009130771,0.00009869166,0.0001601094,0.00004231803],"category_scores_gemma":[0.00033847522,0.000096784715,0.00005706723,0.00018991684,0.00014216096,0.0004092596,0.000059900172,0.00028775627,7.5074496e-7],"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":[0.00019460465,0.00029194631,0.35151744,0.0012824193,0.000105338484,0.0000022176193,0.11089609,0.0327731,0.16444828,0.0008185841,0.00019726483,0.33747274],"study_design_scores_gemma":[0.0006419426,0.000104869905,0.40009573,0.0005016511,0.00014375483,0.000013791816,0.027115861,0.5568837,0.002741334,0.005379665,0.0061184615,0.0002592782],"about_ca_topic_score_codex":0.0015826562,"about_ca_topic_score_gemma":0.00009299008,"teacher_disagreement_score":0.52411056,"about_ca_system_score_codex":0.00030877642,"about_ca_system_score_gemma":0.000018256043,"threshold_uncertainty_score":0.3946766},"labels":[],"label_agreement":null},{"id":"W4405236865","doi":"10.3390/su162410819","title":"Comparative Life Cycle Assessment (LCA) in the Agri-Food Industry, Focusing on Organic and Conventional Coffee","year":2024,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"","keywords":"Life-cycle assessment; Sustainability; Environmental science; Organic farming; Environmental impact assessment; Recipe; Climate change; Agricultural science; Agricultural engineering; Business; Production (economics); Engineering; Agriculture; Economics; Food science; Geography","score_opus":0.0157875887955948,"score_gpt":0.3081311383183874,"score_spread":0.2923435495227926,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405236865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98740077,0.000088783716,0.00012454034,0.006143651,0.00007665036,0.0009031852,0.00001271925,0.000042178224,0.0052075176],"genre_scores_gemma":[0.9992712,0.000004174526,0.00005045833,0.0003597581,0.000040167346,0.00006244023,0.000008034085,0.000011492522,0.00019227821],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977774,0.00046155843,0.00030030851,0.0005492547,0.00047926756,0.00043218557],"domain_scores_gemma":[0.9990802,0.00033353743,0.000043729324,0.00037515574,0.0000171072,0.00015027275],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013649635,0.00022571266,0.00022394338,0.000047988156,0.00022991435,0.00015424214,0.00022781247,0.00015307887,0.0014454636],"category_scores_gemma":[0.00023836018,0.00016320263,0.0000733765,0.00042486464,0.0006928912,0.00032705264,0.00026680145,0.00079041685,0.000030969208],"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":[0.000095083284,0.0012331957,0.96938807,0.00026315465,0.000051148272,0.00007379145,0.01017807,0.00244728,0.00027469435,0.011190287,0.0010318097,0.0037734148],"study_design_scores_gemma":[0.00030422935,0.00032972245,0.9580669,0.000014470748,0.000016263672,0.000007413413,0.010098094,0.001750059,0.00009033725,0.02720997,0.001921735,0.00019083424],"about_ca_topic_score_codex":0.00026054244,"about_ca_topic_score_gemma":0.00025919176,"teacher_disagreement_score":0.016019683,"about_ca_system_score_codex":0.0027090497,"about_ca_system_score_gemma":0.00019479703,"threshold_uncertainty_score":0.9994674},"labels":[],"label_agreement":null},{"id":"W4405438227","doi":"10.1016/j.enbuild.2024.115190","title":"Challenges and opportunities of integrating greenhouse gas emissions in building energy codes","year":2024,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"National Research Council Canada; Carleton University; University of Toronto","funders":"National Research Council Canada","keywords":"Greenhouse gas; Environmental science; Energy (signal processing); Environmental economics; Architectural engineering; Engineering; Economics; Physics; Ecology","score_opus":0.02474574634937803,"score_gpt":0.2518075516379763,"score_spread":0.22706180528859826,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405438227","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98364097,0.009800037,0.00035173094,0.0006119096,0.000031268373,0.000024156841,0.0000025502595,0.00003324349,0.005504141],"genre_scores_gemma":[0.98147947,0.017202195,0.00066615123,0.00007439878,0.00001665108,0.0000074703826,0.0000015215517,0.000012587543,0.0005395778],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9991714,0.000045134922,0.00018846591,0.0002728198,0.000121224715,0.00020096135],"domain_scores_gemma":[0.99966156,0.00009893691,0.000032034128,0.000101951155,0.0000019568674,0.000103558275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025756098,0.00013694473,0.00016189477,0.0000722991,0.000069877,0.000027880968,0.00007768253,0.000072607254,0.00013225184],"category_scores_gemma":[0.000029907169,0.00011236849,0.00002957204,0.00008268547,0.00032152527,0.00029053038,0.00021613715,0.0000798018,2.632075e-7],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00001818315,0.000074254116,0.00625382,0.00009177589,0.000015269634,0.0000531094,0.0031577668,0.00008114388,0.033824354,0.12319661,0.00011342315,0.8331203],"study_design_scores_gemma":[0.0014542867,0.0013462639,0.08775206,0.002162433,0.00013714154,0.0003602221,0.035194814,0.024317287,0.12959409,0.19999391,0.5153839,0.0023036075],"about_ca_topic_score_codex":0.0014384709,"about_ca_topic_score_gemma":0.0005136481,"teacher_disagreement_score":0.8308167,"about_ca_system_score_codex":0.000068212896,"about_ca_system_score_gemma":0.000007642924,"threshold_uncertainty_score":0.4582254},"labels":[],"label_agreement":null},{"id":"W4405494818","doi":"10.1080/01446193.2024.2436395","title":"The legitimation of private net zero emission building standards in the context of global decarbonization goals","year":2024,"lang":"en","type":"article","venue":"Construction Management and Economics","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Legitimation; Context (archaeology); Zero (linguistics); Zero emission; Net (polyhedron); Business; Environmental science; Engineering; Political science; Mathematics; Geology; Electrical engineering","score_opus":0.004717918680604848,"score_gpt":0.23003225219722498,"score_spread":0.22531433351662014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405494818","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99298036,0.00012714458,0.002652866,0.00022196786,0.000105791165,0.0002563745,0.000010659617,0.000006287344,0.0036385558],"genre_scores_gemma":[0.9990159,0.00046215628,0.00045034307,0.000021083342,0.000006081992,0.000005593621,0.0000030383446,0.0000026981268,0.000033065367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945194,0.0000343338,0.00022604024,0.00011901881,0.00008072098,0.0000879341],"domain_scores_gemma":[0.9997647,0.000031837288,0.00007001567,0.00011485247,0.00000289961,0.000015736374],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005259031,0.00006087039,0.0000718114,0.00001494432,0.000075485514,0.00005566646,0.00008621303,0.000024410967,0.000025798536],"category_scores_gemma":[0.000012407503,0.000042129122,0.000023968383,0.00010475651,0.00026985313,0.00022030012,0.000086896274,0.000033943776,8.992435e-7],"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":[0.0000477908,0.000021175283,0.5619794,0.000105109684,0.000027355261,9.607166e-7,0.000561972,0.0024223612,0.00016320968,0.14925446,0.00032376527,0.28509244],"study_design_scores_gemma":[0.00096394843,0.000130672,0.755884,0.00011880569,0.00009143977,0.000018967068,0.01285514,0.04989934,0.0023727005,0.14411056,0.033248074,0.00030635],"about_ca_topic_score_codex":0.00003574999,"about_ca_topic_score_gemma":0.000021096183,"teacher_disagreement_score":0.2847861,"about_ca_system_score_codex":0.0002763493,"about_ca_system_score_gemma":0.0000054793963,"threshold_uncertainty_score":0.17179757},"labels":[],"label_agreement":null},{"id":"W4405528801","doi":"10.20944/preprints202412.1442.v1","title":"Case Study on the Cradle-to-Gate Life Cycle Assessment of Hardwood Lumber Production in New Brunswick, Canada","year":2024,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Hardwood; Production (economics); Life-cycle assessment; Agricultural economics; Engineering; Pulp and paper industry; Economics; Botany; Biology","score_opus":0.06873030082017847,"score_gpt":0.33972806554664564,"score_spread":0.2709977647264672,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405528801","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988443,0.000011231107,0.0000037935508,0.0029550479,0.0005997012,0.0029473042,0.000010840342,0.000037002465,0.0049920604],"genre_scores_gemma":[0.9969786,0.0000060511156,0.00003726455,0.00025522115,0.0000762187,0.00010605436,0.000003829559,0.000041812425,0.0024949862],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99637735,0.00038643027,0.0006609343,0.001292165,0.00084762095,0.00043547075],"domain_scores_gemma":[0.9975762,0.00007468482,0.00019672577,0.0018255585,0.000011547062,0.00031532964],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001503156,0.00040405942,0.00042663212,0.00007076276,0.00010707751,0.000028867422,0.00058453897,0.00013054689,0.0020307237],"category_scores_gemma":[0.00037263025,0.0003281355,0.000120201665,0.0003245309,0.00013786259,0.00007626522,0.004115553,0.001224445,0.00030632457],"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":[0.00002257665,0.0006608036,0.85077864,0.00007182053,0.00006698667,0.0004090808,0.003388581,0.1439333,0.0001987555,0.000023361128,0.00018922937,0.0002568843],"study_design_scores_gemma":[0.00018676695,0.0000627585,0.9917105,0.00006319443,0.000056615365,0.000038676342,0.004709221,0.0009965651,0.0010425522,0.00063205545,0.00017983123,0.00032128693],"about_ca_topic_score_codex":0.86982965,"about_ca_topic_score_gemma":0.8083701,"teacher_disagreement_score":0.14293674,"about_ca_system_score_codex":0.0027130453,"about_ca_system_score_gemma":0.0016221616,"threshold_uncertainty_score":0.9999171},"labels":[],"label_agreement":null},{"id":"W4405546281","doi":"10.1007/978-981-97-8309-0_67","title":"Study on Operational Carbon Performance of Residential Archetype Buildings in Canada","year":2024,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Archetype; Architectural engineering; Carbon fibers; Environmental science; Geography; Engineering; Materials science; Art; Composite material; Literature","score_opus":0.006180295768417215,"score_gpt":0.19866628950849408,"score_spread":0.19248599374007686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405546281","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97812676,0.00011815494,0.00003424875,0.000049768907,0.00019308313,0.00036518538,0.000007933731,0.000011659297,0.02109321],"genre_scores_gemma":[0.99883014,0.0000153724,0.000048069647,0.000023998744,0.0000411614,0.000011401348,0.00000570237,0.000039404676,0.0009847303],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99866503,0.0000078811745,0.0003092721,0.00034456194,0.00043548606,0.00023774376],"domain_scores_gemma":[0.99959886,0.000087431086,0.00003873752,0.00022523859,0.0000026271568,0.00004710604],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00016539208,0.00026316606,0.0002676177,0.000110017114,0.000013644226,0.000010253959,0.00017351864,0.00011464992,0.0003319602],"category_scores_gemma":[0.000049069713,0.00025820915,0.000037008438,0.000085334585,0.000037131853,0.000046140984,0.00016027618,0.00064341654,0.0000052197533],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019063296,0.000030807347,0.12235063,0.00009569432,0.000015807515,0.00009594745,0.0005231604,0.8757571,0.0005611903,0.0000738941,0.0000064280384,0.00047027553],"study_design_scores_gemma":[0.0013563479,0.0011402848,0.893325,0.0015062371,0.000098559496,0.000028943694,0.000116883755,0.08658261,0.0085574,0.0024158575,0.0026405472,0.0022313518],"about_ca_topic_score_codex":0.24698867,"about_ca_topic_score_gemma":0.7827951,"teacher_disagreement_score":0.7891745,"about_ca_system_score_codex":0.002711999,"about_ca_system_score_gemma":0.00009324179,"threshold_uncertainty_score":0.999987},"labels":[],"label_agreement":null},{"id":"W4405586560","doi":"10.1016/j.buildenv.2024.112474","title":"A novel method to calculate SSP-consistent remaining carbon budgets for the building sector: A case study of Canada","year":2024,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Université de Sherbrooke; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Civil engineering; Carbon fibers; Environmental science; Engineering; Architectural engineering; Econometrics; Computer science; Mathematics; Algorithm","score_opus":0.021121245536214094,"score_gpt":0.2820704889072323,"score_spread":0.2609492433710182,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405586560","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9754111,0.0003028884,0.022365648,0.00049373077,0.00013280392,0.0011455358,0.000017081587,0.000021929249,0.00010927209],"genre_scores_gemma":[0.9848139,0.00001150205,0.014633948,0.00011999739,0.000036050063,0.00015135543,5.840491e-7,0.00003237968,0.00020027712],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9980938,0.00007818497,0.0003602993,0.00060419913,0.00039523668,0.00046828797],"domain_scores_gemma":[0.99893546,0.00039355454,0.00006229503,0.0003856339,0.0000021962596,0.0002208575],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011178168,0.00025698083,0.00026406208,0.000039564104,0.0003326993,0.000048693993,0.00015843446,0.000050790404,0.000058722177],"category_scores_gemma":[0.000045816323,0.00019061909,0.00007419253,0.00012934073,0.00009928857,0.000065346845,0.00041599732,0.00015372735,6.566316e-7],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00023603656,0.0012656433,0.07493241,0.00043938652,0.0007592338,0.0015760252,0.032513164,0.44744423,0.31889397,0.00028148555,0.00077236665,0.12088605],"study_design_scores_gemma":[0.0057371156,0.004492575,0.19191995,0.00043665135,0.002078585,0.0067352615,0.12369142,0.5485871,0.028274355,0.0011038037,0.08320457,0.0037386331],"about_ca_topic_score_codex":0.2967428,"about_ca_topic_score_gemma":0.040312648,"teacher_disagreement_score":0.2906196,"about_ca_system_score_codex":0.001006937,"about_ca_system_score_gemma":0.000030512549,"threshold_uncertainty_score":0.97719914},"labels":[],"label_agreement":null},{"id":"W4405596891","doi":"10.1016/j.compchemeng.2024.108986","title":"A comprehensive life cycle assessment study on potential power supply options for a chlor alkali production plant","year":2024,"lang":"en","type":"article","venue":"Computers & Chemical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Life-cycle assessment; Production (economics); Environmental science; Alkali metal; Process engineering; Waste management; Engineering; Biochemical engineering; Chemistry; Economics","score_opus":0.007848546493782277,"score_gpt":0.24308991314334005,"score_spread":0.23524136664955778,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405596891","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9734343,0.000034788172,0.024328161,0.0004731443,0.00067202497,0.0008140662,0.000019349814,0.00018225932,0.000041860272],"genre_scores_gemma":[0.99542737,0.000002238646,0.0041687763,0.0000768471,0.00013118765,0.00011021218,0.000031556232,0.000027549986,0.000024253273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99877363,0.000014215229,0.0001972169,0.00045980877,0.00024497026,0.0003101719],"domain_scores_gemma":[0.999522,0.00006406813,0.000018570656,0.00022260592,0.0000047095004,0.00016805447],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010438271,0.00019918055,0.00016985906,0.00004207174,0.00006743051,0.00007153555,0.0001476666,0.000051503914,0.00008717258],"category_scores_gemma":[0.00002176401,0.00018802393,0.00010252228,0.00013400656,0.000054215994,0.00016131958,0.00017182391,0.00020022642,0.000029869014],"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":[0.000067266286,0.0012251523,0.0012757526,0.0001577411,0.00016407932,0.00005976958,0.0013651546,0.74417627,0.24596532,0.0002104977,0.003214713,0.002118283],"study_design_scores_gemma":[0.0009775098,0.0007308009,0.11542961,0.00010021773,0.000083692044,0.000041941,0.00072888547,0.86580867,0.009994755,0.00012982068,0.0052632024,0.00071090925],"about_ca_topic_score_codex":0.0000137949455,"about_ca_topic_score_gemma":1.8277551e-7,"teacher_disagreement_score":0.23597057,"about_ca_system_score_codex":0.0004901925,"about_ca_system_score_gemma":0.000010208308,"threshold_uncertainty_score":0.76673937},"labels":[],"label_agreement":null},{"id":"W4405610620","doi":"10.1016/j.rser.2024.115249","title":"Life cycle assessment of housing and neighbourhoods: A systematic review","year":2024,"lang":"en","type":"review","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University; University of Toronto","funders":"","keywords":"Life-cycle assessment; Economics; Macroeconomics","score_opus":0.016623939377224412,"score_gpt":0.30737946170316094,"score_spread":0.29075552232593654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405610620","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0000044991707,0.9914689,0.00015520744,0.00004747736,0.000044421315,0.0027269488,0.000009015308,0.00003596488,0.005507579],"genre_scores_gemma":[0.000037498132,0.9895119,0.00023144679,0.00037873784,0.000035758498,0.0006728553,0.000028646915,0.000084217514,0.009018958],"study_design_codex":"systematic_review","study_design_gemma":"not_applicable","domain_scores_codex":[0.995002,0.00088018086,0.0019850677,0.0009044608,0.00041136515,0.00081696204],"domain_scores_gemma":[0.99744207,0.00014677069,0.0008928933,0.0009579074,0.000017460736,0.00054287235],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0027937263,0.00083847105,0.0053453366,0.00014095576,0.00022101065,0.00013304428,0.00036928328,0.0002777244,0.00032229378],"category_scores_gemma":[0.00063811505,0.00055479043,0.0006410908,0.000819601,0.00031036098,0.00035375144,0.0011845612,0.0003077916,0.000017445102],"study_design_candidate":"systematic_review","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":[6.777617e-7,0.000056921377,0.000011617905,0.9375454,0.00010314369,0.000041545412,0.000026598696,0.000015607324,1.7412118e-7,0.0004680765,0.0018027266,0.059927475],"study_design_scores_gemma":[0.00006395346,0.0000719878,0.0000013847181,0.2721464,0.0042725457,0.00004855172,0.00015861569,0.00009369542,1.4910962e-7,0.00046313446,0.72221875,0.00046084472],"about_ca_topic_score_codex":0.0016999546,"about_ca_topic_score_gemma":0.000044323297,"teacher_disagreement_score":0.720416,"about_ca_system_score_codex":0.0007494407,"about_ca_system_score_gemma":0.00025914444,"threshold_uncertainty_score":0.99969035},"labels":[],"label_agreement":null},{"id":"W4405614486","doi":"10.54932/dkbc6587","title":"Measuring Competitiveness in the Great Lakes-St. Lawrence Region Using a Digital Twin: A Geospatial Data Science Approach","year":2024,"lang":"en","type":"report","venue":"","topic":"Environmental Impact and Sustainability","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":"Geospatial analysis; Transformative learning; Position (finance); Economic geography; Regional science; Industrial organization; Business; Economics; Geography; Sociology; Remote sensing","score_opus":0.13326891690130208,"score_gpt":0.309531530588881,"score_spread":0.17626261368757892,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405614486","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.62908065,0.00026836258,0.0018601075,0.00013468867,0.0003427401,0.0013260539,0.00025361142,0.00008700614,0.36664677],"genre_scores_gemma":[0.99750084,0.00007406911,0.00031817387,0.00005896028,0.00011227036,0.000027215661,0.00020388678,0.000039161572,0.001665416],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99441516,0.000127287,0.0004979123,0.0015688026,0.002623129,0.0007677076],"domain_scores_gemma":[0.9976741,0.00008600324,0.00016008498,0.0019034084,0.000022395894,0.0001540295],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0031414328,0.00046485272,0.00042763582,0.00013168201,0.00029885324,0.0006644223,0.0026353106,0.00018659024,0.00025531216],"category_scores_gemma":[0.00036100595,0.00031485487,0.00010812094,0.0010569437,0.0021097972,0.0020754593,0.0035535328,0.0007221799,0.000060501163],"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":[0.000091165595,0.0014014154,0.94144094,0.0013565853,0.00008162771,0.0019013147,0.004109092,0.009452208,0.000616825,0.00033880596,0.001824356,0.037385657],"study_design_scores_gemma":[0.0014893879,0.00046385464,0.67427665,0.002038368,0.00059498975,0.0060805976,0.014283716,0.10420356,0.000423368,0.0024336374,0.18787774,0.0058341343],"about_ca_topic_score_codex":0.005411755,"about_ca_topic_score_gemma":0.0008725117,"teacher_disagreement_score":0.36842018,"about_ca_system_score_codex":0.002937599,"about_ca_system_score_gemma":0.0005367877,"threshold_uncertainty_score":0.9999304},"labels":[],"label_agreement":null},{"id":"W4405681384","doi":"10.1016/j.apenergy.2024.125112","title":"Assessing energy economic and environmental impacts of GHG emission reduction targets across Canadian provinces: A national net-zeroization-oriented energy model","year":2024,"lang":"en","type":"article","venue":"Applied Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"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; Mitacs; National Natural Science Foundation of China","keywords":"Greenhouse gas; Environmental science; Energy (signal processing); Reduction (mathematics); Natural resource economics; Net energy; Environmental impact assessment; Environmental economics; Environmental protection; Economics; Political science; Ecology; Physics","score_opus":0.0055790600207464985,"score_gpt":0.2307680237740979,"score_spread":0.2251889637533514,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4405681384","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97824484,0.00034267275,0.009031681,0.00011866148,0.00016184682,0.000108271706,0.000117209325,0.00006233998,0.011812477],"genre_scores_gemma":[0.9980058,0.00018804066,0.00041938995,0.00013413116,0.000070953545,0.000041861276,0.00034317843,0.00003937524,0.0007572328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9982128,0.000035501384,0.00036010784,0.00057641097,0.00032989058,0.00048527392],"domain_scores_gemma":[0.99928886,0.000028262224,0.000099848665,0.00020296288,0.0000033125016,0.00037676224],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00020199064,0.00026391368,0.00020132786,0.000091831316,0.00027567596,0.00011168995,0.00013965929,0.00016609945,0.00031227613],"category_scores_gemma":[0.0000072776384,0.00026158433,0.000060705,0.00014379165,0.00036249642,0.0007138934,0.0001714682,0.00008804157,0.0000056069503],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014875883,0.000485954,0.009344427,0.00010533876,0.00016475831,0.000026645497,0.003953184,0.4338577,0.35942188,0.06243109,0.005025628,0.12503465],"study_design_scores_gemma":[0.0009969771,0.0001707236,0.009103532,0.000060761857,0.000060519444,0.00007929955,0.0031708397,0.78652316,0.11901962,0.022009855,0.057523817,0.0012808939],"about_ca_topic_score_codex":0.07124961,"about_ca_topic_score_gemma":0.016046869,"teacher_disagreement_score":0.35266545,"about_ca_system_score_codex":0.0025614607,"about_ca_system_score_gemma":0.00019180123,"threshold_uncertainty_score":0.9999836},"labels":[],"label_agreement":null},{"id":"W4406095530","doi":"10.2139/ssrn.5071429","title":"Mitigating Greenhouse Gas Emissions in Refineries: An Analysis of Carbon Capture Strategies in the Face of Extraordinary Economic and Policy Uncertainties","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Greenhouse gas; Face (sociological concept); Oil refinery; Natural resource economics; Environmental science; Economics; Environmental economics; Waste management; Engineering; Sociology","score_opus":0.005541976227810246,"score_gpt":0.26321502925784573,"score_spread":0.2576730530300355,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406095530","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99729866,0.00044062163,0.000033842804,0.0006315392,0.000006357375,0.00008961395,0.0000033496035,0.0000026500954,0.0014933923],"genre_scores_gemma":[0.99907875,0.0007414567,0.000020820837,0.000022557046,0.0000061223327,0.0000030214019,0.0000019402949,0.000004331962,0.00012098654],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99861807,0.0001799823,0.0003328717,0.0001531826,0.00011318667,0.0006026984],"domain_scores_gemma":[0.99959147,0.00006376668,0.00012599182,0.00018212652,0.0000026084867,0.000034063673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0010561678,0.000110413916,0.00023403052,0.00021241444,0.00006458301,0.000019553805,0.00022555904,0.000057260462,0.000022202885],"category_scores_gemma":[0.000042376734,0.0000813987,0.00006423784,0.0005025515,0.00029592676,0.0002332999,0.00006581413,0.0005392871,8.039107e-8],"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":[0.000055117063,0.0001223421,0.9357409,0.000014619922,0.000090072186,0.0000022422319,0.009250122,0.0415198,0.0033309401,0.006964259,0.0000020063712,0.0029076175],"study_design_scores_gemma":[0.0003258141,0.0002365469,0.6533115,0.000021538035,0.00009638601,0.000014438396,0.28207213,0.003876999,0.00018151276,0.059740003,0.000011247384,0.00011191227],"about_ca_topic_score_codex":0.026944768,"about_ca_topic_score_gemma":0.07826131,"teacher_disagreement_score":0.2824294,"about_ca_system_score_codex":0.0012709443,"about_ca_system_score_gemma":0.00040771635,"threshold_uncertainty_score":0.97953486},"labels":[],"label_agreement":null},{"id":"W4406097213","doi":"10.2139/ssrn.5068513","title":"Study of Biomass-fired Combined Heat and Power Plant Integrated Carbon Capture Facility","year":2025,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"","keywords":"Bio-energy with carbon capture and storage; Capital cost; Flue gas; Waste management; Power station; Environmental science; Biomass (ecology); Carbon capture and storage (timeline); Bioenergy; Engineering; Environmental engineering; Carbon sequestration; Biofuel; Carbon dioxide; Chemistry","score_opus":0.004185189941269024,"score_gpt":0.21707225457193122,"score_spread":0.2128870646306622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406097213","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99735165,0.000286427,0.000055766108,0.00022523614,0.00006495475,0.0003445359,0.000010014955,0.000014630029,0.0016468113],"genre_scores_gemma":[0.9992396,0.000079907084,0.0000051332736,0.000027807919,0.0000030159574,0.0000044602025,0.0000045009283,0.0000053342387,0.0006302025],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9980273,0.00017332987,0.00031338955,0.0002561127,0.0002532907,0.00097654946],"domain_scores_gemma":[0.9995817,0.00002959149,0.00006640037,0.00022418368,0.000008650732,0.0000894708],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009384064,0.00018032044,0.00025139705,0.000058512374,0.00013854977,0.000021889668,0.00019652508,0.00008130826,0.00008791752],"category_scores_gemma":[0.00005131696,0.000139263,0.00005289907,0.00024883886,0.00019473778,0.00011209007,0.00014393723,0.0008023736,0.0000024684302],"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":[0.00031183782,0.0009053735,0.98906434,0.000008237023,0.0001279746,0.000008279103,0.0016247001,0.000032127064,0.0065331664,0.00026932164,0.000041067393,0.0010735616],"study_design_scores_gemma":[0.0035412079,0.0025651797,0.9110418,0.000016840417,0.00010171155,0.00010345918,0.062892154,0.00019343165,0.0016772223,0.01730423,0.00023035654,0.0003324276],"about_ca_topic_score_codex":0.0040335455,"about_ca_topic_score_gemma":0.005237353,"teacher_disagreement_score":0.07802258,"about_ca_system_score_codex":0.0016404198,"about_ca_system_score_gemma":0.00017481249,"threshold_uncertainty_score":0.60975415},"labels":[],"label_agreement":null},{"id":"W4406177437","doi":"10.1007/978-3-031-69626-8_72","title":"Decarbonizing Conventional Building Materials for Net-Zero Emissions: A Feasibility Study in Canada","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","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":"Mount Royal University","funders":"","keywords":"Environmental science; Zero (linguistics); Zero emission; Nuclear engineering; Engineering; Waste management","score_opus":0.011215990790486609,"score_gpt":0.23767460600102847,"score_spread":0.22645861521054186,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406177437","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93369836,0.0009228607,0.043937717,0.00025093346,0.0014556189,0.007032573,0.0002576603,0.00011540686,0.012328877],"genre_scores_gemma":[0.99800897,0.000010426764,0.0011355298,0.00006703357,0.000038671333,0.00009668965,0.0000240035,0.00004480465,0.0005738839],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99788487,0.00002875236,0.0005730763,0.0006257617,0.00041004617,0.00047749316],"domain_scores_gemma":[0.9989741,0.00043835392,0.00009870199,0.00037920888,0.000008256978,0.00010136776],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00059155363,0.00042752802,0.00053040986,0.000113621536,0.000058283324,0.000030591465,0.00027268115,0.00021836834,0.0008775573],"category_scores_gemma":[0.0006316558,0.00044459838,0.00008628684,0.000098198376,0.00003957059,0.0000851068,0.0002860745,0.000433826,0.0000013258167],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014382762,0.00029635138,0.4170154,0.00093204196,0.00011135916,0.00018521788,0.0005068145,0.56499463,0.010176075,0.00066712516,0.00020824275,0.004762914],"study_design_scores_gemma":[0.009872158,0.00068727735,0.8034298,0.0049505876,0.00041535095,0.00004068387,0.0002212236,0.048022937,0.017358843,0.08903068,0.01889952,0.0070709777],"about_ca_topic_score_codex":0.16616209,"about_ca_topic_score_gemma":0.7406795,"teacher_disagreement_score":0.5745174,"about_ca_system_score_codex":0.007971216,"about_ca_system_score_gemma":0.00026059535,"threshold_uncertainty_score":0.99980056},"labels":[],"label_agreement":null},{"id":"W4406320955","doi":"10.1525/001c.89898","title":"Calculating and Mitigating Our Streaming Carbon Footprint (Chinese Translation)","year":2024,"lang":"en","type":"article","venue":"Media+Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Carbon footprint; Footprint; Translation (biology); Computer science; Environmental science; Geography; Geology; Greenhouse gas; Archaeology","score_opus":0.00993264560555775,"score_gpt":0.2404971652241118,"score_spread":0.23056451961855404,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406320955","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9938052,0.00068295625,0.00042878356,0.00059910613,0.00012781506,0.00035203894,0.000007695006,0.00009385802,0.0039025147],"genre_scores_gemma":[0.9961798,0.000100241115,0.0032916956,0.000045434714,0.00011262036,0.000041503423,0.0000144277155,0.000041576754,0.00017270118],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997961,0.00008764751,0.0003570585,0.0006198671,0.0005114391,0.00046301808],"domain_scores_gemma":[0.9992634,0.00011994259,0.000048747508,0.0003020531,8.5723855e-7,0.00026502323],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00043738834,0.00030531094,0.000218943,0.000044235632,0.000160051,0.000078591744,0.00012745392,0.00009988043,0.0003624865],"category_scores_gemma":[0.000045320823,0.00026260235,0.0000898478,0.000114951996,0.00019489249,0.00014923175,0.00025273114,0.0002773086,0.00009965825],"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":[0.000012406376,0.000120006895,0.591073,0.000110927525,0.000036523394,0.00010138284,0.0076115658,0.005241509,0.027866106,0.000049480084,0.000008062034,0.3677691],"study_design_scores_gemma":[0.0006093752,0.00014228158,0.92550194,0.000091450755,0.00009238012,0.000048226506,0.004493234,0.058233667,0.0028064013,0.0030469107,0.0040678903,0.00086624123],"about_ca_topic_score_codex":0.00033783322,"about_ca_topic_score_gemma":0.000054014727,"teacher_disagreement_score":0.36690283,"about_ca_system_score_codex":0.00055545336,"about_ca_system_score_gemma":0.0000072488374,"threshold_uncertainty_score":0.9999826},"labels":[],"label_agreement":null},{"id":"W4406334151","doi":"10.33002/jelp040309","title":"Natural Environmental Contaminants and the Impact of Green Technologies on Climate Change","year":2024,"lang":"en","type":"article","venue":"Journal of Environmental Law & Policy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Natural (archaeology); Climate change; Environmental science; Contamination; Environmental protection; Environmental planning; Geography; Geology; Ecology; Oceanography; Archaeology; Biology","score_opus":0.007437063239504318,"score_gpt":0.2695365576702341,"score_spread":0.2620994944307298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406334151","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942081,0.0024045005,0.0000013468971,0.0009948063,0.00010105277,0.00042401828,0.00014182067,0.000023640849,0.0017007319],"genre_scores_gemma":[0.99714047,0.0022628626,0.000048462745,0.00021592429,0.00011085047,0.000012290258,0.000004171138,0.000034490426,0.0001705058],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978811,0.00014578078,0.00060146576,0.00029791868,0.0005662255,0.00050752045],"domain_scores_gemma":[0.99902546,0.00017383002,0.0003082491,0.00035340502,0.0000010845015,0.00013799693],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0005924382,0.00036070796,0.00047298946,0.00011681084,0.00018401028,0.00005224417,0.00042417346,0.00012962667,0.000410169],"category_scores_gemma":[0.000029964182,0.00020798943,0.0004363009,0.00014433627,0.0030038022,0.0006698033,0.00054814934,0.00051816483,0.00007954469],"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":[0.004332864,0.002759175,0.42155564,0.00022736636,0.0009937889,0.00069636805,0.014687331,0.00029564468,0.14435923,0.021616623,0.0005676621,0.3879083],"study_design_scores_gemma":[0.0028283477,0.0020988092,0.9771612,0.00013928788,0.0001528307,0.0007423117,0.0028434934,0.00056116557,0.0056490772,0.004759265,0.00255934,0.00050485495],"about_ca_topic_score_codex":0.0014924753,"about_ca_topic_score_gemma":0.000026117657,"teacher_disagreement_score":0.5556056,"about_ca_system_score_codex":0.0011491798,"about_ca_system_score_gemma":0.0000113054675,"threshold_uncertainty_score":0.9997094},"labels":[],"label_agreement":null},{"id":"W4406343460","doi":"10.1121/10.0034994","title":"Investigating embodied carbon of common floor ceiling assemblies and low carbon buildups to meet new requirements","year":2024,"lang":"en","type":"article","venue":"The Journal of the Acoustical Society of America","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Architectural engineering; Engineering; Architecture; Embodied cognition; Building design; Built environment; Civil engineering; Construction engineering; Computer science; Ecology","score_opus":0.014153465321409903,"score_gpt":0.2707630222531135,"score_spread":0.2566095569317036,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406343460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99491477,0.0002771863,0.0009461019,0.0029659017,0.0001251668,0.00016331988,0.0000027597823,0.0000072860944,0.00059750275],"genre_scores_gemma":[0.99217635,0.000089669964,0.007046768,0.0005292462,0.00007008692,6.2334897e-7,1.16238496e-7,0.000013594914,0.000073550604],"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99841994,0.00014929978,0.00046895657,0.00012277557,0.0005958257,0.00024320882],"domain_scores_gemma":[0.99904835,0.00026516162,0.00023981342,0.00024831024,0.00001673778,0.00018163373],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000836448,0.00014459007,0.0003108496,0.000013757269,0.00009775414,0.000020692827,0.00040451722,0.000053761578,0.000032878943],"category_scores_gemma":[0.0003396972,0.00008216833,0.00017337671,0.0002886869,0.000908185,0.00010080784,0.00049393513,0.00026037503,6.8460236e-7],"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":[0.00012231444,0.00028594455,0.061981462,0.0004009967,0.0003216809,0.0000033728102,0.017149458,0.05613536,0.83180094,0.000010083613,0.007784526,0.024003858],"study_design_scores_gemma":[0.0013774376,0.0024350968,0.16761267,0.0015246308,0.0015111556,0.00008952735,0.03044322,0.65301067,0.12176244,0.018595358,0.00077464466,0.0008631728],"about_ca_topic_score_codex":0.0012087112,"about_ca_topic_score_gemma":0.000008488829,"teacher_disagreement_score":0.7100385,"about_ca_system_score_codex":0.00023374152,"about_ca_system_score_gemma":0.000046670088,"threshold_uncertainty_score":0.33507273},"labels":[],"label_agreement":null},{"id":"W4406528731","doi":"10.1016/0967-0653(96)81064-7","title":"10.1016/0967-0653(96)81064-7","year":2000,"lang":"en","type":"article","venue":"Time to knit","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Statistics; Cohort; Production (economics); Mathematics; Environmental science; Economics","score_opus":0.003845365554649837,"score_gpt":0.16861556616373397,"score_spread":0.16477020060908412,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406528731","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.04609742,0.00001168616,7.8718165e-7,0.00026488752,0.0000010398913,0.00025444262,0.000009291483,0.000079425634,0.95328104],"genre_scores_gemma":[0.0061816443,2.2304447e-7,0.00014423404,0.0001140258,0.000036950994,0.000018711678,0.0000105414565,0.000021056063,0.99347264],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9987216,0.00005370977,0.00017562852,0.00033122,0.00028782635,0.00043002825],"domain_scores_gemma":[0.99924296,0.000025025265,0.000021863067,0.00041453136,0.0000020976931,0.00029352185],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00020080351,0.00017357474,0.00014670457,0.000019543255,0.00012845243,0.000034426284,0.00028668102,0.00006682053,0.9996861],"category_scores_gemma":[0.00002782323,0.00016142573,0.00007135464,0.00018847744,0.00016669449,0.00023555182,0.00014965114,0.00011262321,0.9986465],"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":[0.00007077168,0.0001741349,0.00006881555,0.0000037029317,0.000006519007,0.000010286718,0.000084170264,0.0007080907,0.00016711453,2.8660887e-7,0.16248117,0.8362249],"study_design_scores_gemma":[0.00016143355,0.000150088,0.004581677,0.0000027063925,0.00000854417,0.000006046407,0.000006622275,0.00012787156,0.0002730437,0.000034097153,0.99443,0.00021783661],"about_ca_topic_score_codex":0.00016041288,"about_ca_topic_score_gemma":0.0000010367847,"teacher_disagreement_score":0.8360071,"about_ca_system_score_codex":0.00032698544,"about_ca_system_score_gemma":0.00000553221,"threshold_uncertainty_score":0.658275},"labels":[],"label_agreement":null},{"id":"W4406569556","doi":"10.2139/ssrn.5102787","title":"Cost-Efficient Scenarios for Reaching Transportation Climate Targets","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Engineering Link (Canada)","funders":"","keywords":"Climate change; Computer science; Environmental science; Environmental planning; Business; Environmental resource management; Transport engineering; Natural resource economics; Economics; Engineering; Geology; Oceanography","score_opus":0.012882413763873094,"score_gpt":0.27910149596332573,"score_spread":0.2662190821994526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406569556","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9083272,0.00090602913,0.08421105,0.0010290198,0.0006945611,0.002653887,0.00021494529,0.00007914733,0.0018841424],"genre_scores_gemma":[0.9953551,0.0017841755,0.0009205269,0.00013971672,0.00011043197,0.00013743524,0.00015618278,0.00003210642,0.0013642776],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.99548364,0.000118712895,0.0005578763,0.0005615694,0.00041980954,0.002858409],"domain_scores_gemma":[0.9990759,0.00005883515,0.00033704154,0.0003543481,0.000016518203,0.0001573946],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.0028079725,0.00037247533,0.000359876,0.00008014284,0.00051891065,0.00008443876,0.0005022457,0.00027162625,0.00015445301],"category_scores_gemma":[0.000072829185,0.0003494939,0.00037880614,0.000101552665,0.0001225943,0.00013376675,0.00018955916,0.0029938433,0.000021352444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007304406,0.001092586,0.09529498,0.00040366568,0.00036781913,0.000011730293,0.0047848797,0.78148556,0.00083567144,0.009706382,0.0004727736,0.10481354],"study_design_scores_gemma":[0.0075670704,0.0018537125,0.20906562,0.00069086126,0.0015563066,0.00015246872,0.018344609,0.084724665,0.001628734,0.64267266,0.027282523,0.0044607995],"about_ca_topic_score_codex":0.0003605496,"about_ca_topic_score_gemma":0.001784081,"teacher_disagreement_score":0.6967609,"about_ca_system_score_codex":0.008371827,"about_ca_system_score_gemma":0.00062233914,"threshold_uncertainty_score":0.9998957},"labels":[],"label_agreement":null},{"id":"W4406932496","doi":"10.1002/bbb.2729","title":"Competitive assessment of biofuel strategies for a case study in eastern Canada: techno‐economic and multi‐criteria decision‐making analysis","year":2025,"lang":"en","type":"article","venue":"Biofuels Bioproducts and Biorefining","topic":"Environmental Impact and Sustainability","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":"Greenfield Research (Canada); Polytechnique Montréal","funders":"European Commission; Government of Canada; Polytechnique Montréal","keywords":"Biofuel; Business; Natural resource economics; Biotechnology; Biochemical engineering; Environmental science; Economics; Engineering; Biology","score_opus":0.017803804268854743,"score_gpt":0.32835510209877145,"score_spread":0.3105512978299167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406932496","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99847704,0.00016120831,0.00039397262,0.00008367107,0.000067879446,0.00054751156,0.00007035685,0.000008989462,0.00018938238],"genre_scores_gemma":[0.9905821,0.000012308953,0.009297875,0.00003492369,0.000006666691,0.00002561457,0.000004161485,0.0000063930775,0.000029950308],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986727,0.000040547417,0.00038608396,0.0005501867,0.00010463879,0.00024582059],"domain_scores_gemma":[0.9995082,0.00007136923,0.00011381531,0.00024471403,0.00000978764,0.00005208627],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046814515,0.00018774459,0.00035899994,0.00017088912,0.00013993718,0.00006888318,0.00010345576,0.000056129888,0.000034277025],"category_scores_gemma":[0.00003562148,0.00015800407,0.00003605426,0.0003751883,0.00026593142,0.00016928611,0.0002904539,0.00007794222,1.7310552e-7],"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":[0.000029756266,0.00017072077,0.97409105,0.00004660036,0.000065850334,0.00005363079,0.0005684127,0.0000685458,0.0017553092,0.00019634707,0.000002469232,0.022951331],"study_design_scores_gemma":[0.00076294213,0.00017166222,0.957003,0.000038282957,0.00013094477,0.000013370979,0.035205252,0.005758969,0.0002635747,0.00037074712,0.000073084826,0.00020818715],"about_ca_topic_score_codex":0.23379706,"about_ca_topic_score_gemma":0.6043594,"teacher_disagreement_score":0.37056234,"about_ca_system_score_codex":0.00032993784,"about_ca_system_score_gemma":0.00010299467,"threshold_uncertainty_score":0.77130514},"labels":[],"label_agreement":null},{"id":"W4406954485","doi":"10.1177/0958305x241310195","title":"Disentangling the effects of nonrenewable energy consumption on CO <sub>2</sub> emissions in Canada: The moderating role of construction and manufacturing","year":2025,"lang":"en","type":"article","venue":"Energy & Environment","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":"Non-renewable resource; Greenhouse gas; Consumption (sociology); Energy consumption; Natural resource economics; Economics; Environmental science; Renewable energy; Environmental economics; Engineering","score_opus":0.002531450450191001,"score_gpt":0.17828079854963524,"score_spread":0.17574934809944423,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406954485","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99828655,0.00032891482,0.00033634814,0.000100996185,0.00004955643,0.00014034522,0.0000046986797,0.000003655245,0.000748954],"genre_scores_gemma":[0.9990484,0.0006795303,0.000057722486,0.00012571516,0.0000071093855,0.000026715828,0.000005382092,0.0000069845273,0.000042452193],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99881953,0.00015001872,0.0002869466,0.00025024766,0.00026994655,0.00022330231],"domain_scores_gemma":[0.999239,0.00028706153,0.00012380247,0.00029497696,8.2188114e-7,0.000054315773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015223665,0.00015674044,0.00017188152,0.000027702086,0.00019046008,0.000008636165,0.00012816928,0.000046412104,0.000068921865],"category_scores_gemma":[0.000020221501,0.00010712011,0.000039768973,0.00004689149,0.0003482675,0.00006727385,0.00014195648,0.0001011664,5.300439e-7],"study_design_candidate":"bench_or_experimental","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":[0.00006334889,0.0001396429,0.45168206,0.000059147762,0.00004039609,0.0000052244454,0.00035147744,0.19337086,0.24686396,0.00057667546,0.00004136527,0.10680583],"study_design_scores_gemma":[0.00025502892,0.000032491134,0.18713704,0.000050669943,0.00001990745,0.0000016514882,0.00077760324,0.0050055357,0.8056554,0.0006712679,0.00030322833,0.00009016606],"about_ca_topic_score_codex":0.1330125,"about_ca_topic_score_gemma":0.09128138,"teacher_disagreement_score":0.55879146,"about_ca_system_score_codex":0.00072715763,"about_ca_system_score_gemma":0.00003375006,"threshold_uncertainty_score":0.92530036},"labels":[],"label_agreement":null},{"id":"W4406967571","doi":"10.1007/s41810-025-00286-4","title":"The Enhancement and Variation in the Carbon Dioxide Concentration in a Typical Industrial Park in the Northern China","year":2025,"lang":"en","type":"article","venue":"Aerosol Science and Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"123 Certification (Canada)","funders":"National Key Research and Development Program of China","keywords":"Carbon dioxide; China; Variation (astronomy); Industrial park; Environmental science; Carbon fibers; Geography; Materials science; Ecology; Archaeology; Composite material; Biology; Astrophysics; Physics","score_opus":0.005203585833055916,"score_gpt":0.2050566999251762,"score_spread":0.19985311409212028,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406967571","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9979839,0.00004987603,0.000051178213,0.0011455906,0.00004284396,0.00028236303,1.4311789e-7,0.0000024632473,0.00044166527],"genre_scores_gemma":[0.9998096,0.00004769166,0.000009453301,0.000085295185,0.000008244909,0.000032123025,1.8133214e-7,0.0000011618944,0.0000062137738],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9992528,0.00004840039,0.00012585406,0.00014841185,0.00021357945,0.00021098452],"domain_scores_gemma":[0.9997623,0.00008923633,0.000015307254,0.000113719725,0.0000014075183,0.00001804628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015593345,0.00006212562,0.00005062429,0.000015695274,0.000115273266,0.00006785575,0.00017826026,0.000027872675,0.0000019358567],"category_scores_gemma":[0.00016928487,0.000033937635,0.0000059434533,0.00046700131,0.00021223947,0.00016468385,0.000065994725,0.00015078699,3.5583363e-7],"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":[0.000023521938,0.000059637958,0.93709934,0.0000055709884,0.0000012811787,0.0000034184143,0.010737913,0.0066359886,0.035538312,0.00047957583,0.0000045798697,0.009410835],"study_design_scores_gemma":[0.00020258878,0.000022218408,0.9831124,0.000009606076,0.0000014301963,8.136587e-7,0.00084115105,0.015133291,0.00047897425,0.00009661627,0.000056955985,0.000043953747],"about_ca_topic_score_codex":0.0009878156,"about_ca_topic_score_gemma":0.0012246069,"teacher_disagreement_score":0.046013035,"about_ca_system_score_codex":0.0002270376,"about_ca_system_score_gemma":0.000017387461,"threshold_uncertainty_score":0.14932883},"labels":[],"label_agreement":null},{"id":"W4407171863","doi":"10.1016/j.enconman.2025.119595","title":"Impact of multi-energy complementary system on carbon emissions: Insights from a rural building in Shangluo City, China","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":17,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"National Key Research and Development Program of China; National Natural Science Foundation of China","keywords":"China; Carbon fibers; Greenhouse gas; Environmental science; Energy (signal processing); Environmental protection; Geography; Meteorology; Architectural engineering; Environmental engineering; Engineering; Computer science; Physics; Geology; Archaeology","score_opus":0.006773798312556687,"score_gpt":0.2409605300632848,"score_spread":0.2341867317507281,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407171863","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9872014,0.00011848777,0.00045764077,0.00007110839,0.00009859178,0.00015670471,0.0000065252266,0.000023805316,0.01186572],"genre_scores_gemma":[0.99871033,0.00019198035,0.00020435473,0.00016014917,0.000006140161,0.000015928303,0.00002583907,0.000007261722,0.0006780364],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988808,0.00009912096,0.00025838744,0.00031640579,0.00022282546,0.00022248203],"domain_scores_gemma":[0.9995229,0.000029927964,0.00007359434,0.00026836153,0.0000022806312,0.00010292497],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000091867965,0.0001916217,0.00022501858,0.00015007582,0.00009329119,0.000014931397,0.00017989938,0.00005398178,0.00026083709],"category_scores_gemma":[0.0000039572164,0.00015836608,0.0000794474,0.00022626267,0.000101604615,0.000095204894,0.0006588274,0.00006443592,0.0000013456838],"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":[0.00077668467,0.0018434355,0.9020569,0.00027262355,0.0004143886,0.00018326135,0.001484454,0.010496508,0.009353052,0.02356631,0.0019172262,0.04763516],"study_design_scores_gemma":[0.0025880472,0.0002078726,0.9548429,0.00026954839,0.00004470204,5.825057e-7,0.0028838494,0.03354658,0.0025093798,0.0006762685,0.002167099,0.00026315983],"about_ca_topic_score_codex":0.038776148,"about_ca_topic_score_gemma":0.00043619119,"teacher_disagreement_score":0.052786015,"about_ca_system_score_codex":0.0009130305,"about_ca_system_score_gemma":0.0000058049704,"threshold_uncertainty_score":0.9676247},"labels":[],"label_agreement":null},{"id":"W4407195025","doi":"10.1007/978-3-031-75468-5_8","title":"Combined Study on Life Cycle Assessment and Consumption/Needs-Based Greenhouse Gas Accounting: A Collaborative Project Between Canada and Korea","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Consumption (sociology); Environmental science; Environmental economics; Accounting; Business; Economics; Production (economics); Sociology; Social science","score_opus":0.016196410264698327,"score_gpt":0.274824746725578,"score_spread":0.2586283364608797,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407195025","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.87071866,0.000025958381,0.000017888615,0.00034716752,0.000046065223,0.0028174298,0.0002394843,0.00005354074,0.1257338],"genre_scores_gemma":[0.9449729,0.000036975056,0.00012190305,0.0005756944,0.000019214982,0.000064268635,0.0000610408,0.00003750926,0.0541105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9978444,0.000091945694,0.00041368228,0.00065454823,0.0006597261,0.0003356796],"domain_scores_gemma":[0.9987931,0.00030492985,0.0001997296,0.00044312494,0.00001803249,0.00024104035],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00033375813,0.00051317795,0.0005721254,0.00011454561,0.00028946527,0.00010512178,0.0001790925,0.00017598667,0.0007570795],"category_scores_gemma":[0.000041935953,0.00044724267,0.000041654424,0.00009762585,0.0004469173,0.00013213622,0.00037776268,0.00037856656,0.000009513823],"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":[0.00008592533,0.00023150294,0.9943804,0.000069878,0.00012805223,0.00002495702,0.00028729954,0.000034631896,0.000002813298,0.0003597819,0.0028409478,0.0015537784],"study_design_scores_gemma":[0.002083119,0.0012479672,0.9874516,0.00006138113,0.00022673325,6.203353e-7,0.0014743959,0.0002402324,0.000012631576,0.00042371056,0.006092728,0.0006848423],"about_ca_topic_score_codex":0.22629112,"about_ca_topic_score_gemma":0.3438641,"teacher_disagreement_score":0.117573,"about_ca_system_score_codex":0.0015004127,"about_ca_system_score_gemma":0.0006068682,"threshold_uncertainty_score":0.99979794},"labels":[],"label_agreement":null},{"id":"W4407225460","doi":"10.3390/buildings15030499","title":"The Cradle-to-Gate Life Cycle Assessment on Hardwood Lumber Production in New Brunswick, Canada","year":2025,"lang":"en","type":"article","venue":"Buildings","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Hardwood; Production (economics); Life-cycle assessment; Engineering; Environmental science; Aeronautics; Forensic engineering; Economics; Biology; Ecology","score_opus":0.004512714451523531,"score_gpt":0.24300831334189069,"score_spread":0.23849559889036714,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407225460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9709511,0.000019276797,0.000055867553,0.01786104,0.00030681823,0.0004633321,8.1871417e-7,0.000018740826,0.010323024],"genre_scores_gemma":[0.98419666,0.000012372918,0.0002805979,0.0022390285,0.000034966946,0.000011871812,0.0000010479313,0.000009496926,0.013213965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99864465,0.000054936958,0.00021140288,0.00037679786,0.00034001522,0.00037221544],"domain_scores_gemma":[0.999363,0.00004941416,0.000042060678,0.000369145,0.0000033323852,0.00017304863],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039411688,0.00014045012,0.00011735624,0.000026066398,0.00023176381,0.000053867276,0.00025230445,0.00003871405,0.00021201014],"category_scores_gemma":[0.00022087124,0.00011041898,0.000033221157,0.0003469045,0.000081169725,0.0001279021,0.00020295073,0.0001942091,0.000039734805],"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":[0.00012690297,0.00031693504,0.7139213,0.00002526633,0.00003148479,0.000014463224,0.00056746166,0.146563,0.0014660765,0.0032269915,0.092324115,0.041415997],"study_design_scores_gemma":[0.00020628062,0.000035645895,0.9237844,0.000017003049,0.0000056268727,7.6511566e-7,0.00027744722,0.0006407987,0.0008506716,0.0008556488,0.073192365,0.0001333877],"about_ca_topic_score_codex":0.6235809,"about_ca_topic_score_gemma":0.7741245,"teacher_disagreement_score":0.20986304,"about_ca_system_score_codex":0.0019652576,"about_ca_system_score_gemma":0.00062656036,"threshold_uncertainty_score":0.513908},"labels":[],"label_agreement":null},{"id":"W4407607892","doi":"10.1016/j.ecolind.2025.113241","title":"Novel Endpoint Characterization Factors for Life Cycle Impact Assessment of Terrestrial Acidification","year":2025,"lang":"en","type":"article","venue":"Ecological Indicators","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Environmental science; Life-cycle assessment; Ocean acidification; Ecology; Environmental resource management; Climate change; Biology","score_opus":0.017193296759558146,"score_gpt":0.31438902908629124,"score_spread":0.2971957323267331,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407607892","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98414636,0.0000016425561,0.013618924,0.0002081741,0.00014490676,0.0007912646,0.00006904951,0.000031132844,0.0009885343],"genre_scores_gemma":[0.9988157,0.0000044511703,0.0006856118,0.00010905366,0.000020268004,0.00007974676,0.00018056165,0.000006804047,0.00009778766],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987812,0.0000632197,0.00039023385,0.00030516335,0.00018631092,0.00027387598],"domain_scores_gemma":[0.9992224,0.000182424,0.00022597428,0.0002229132,0.0000036127349,0.00014268555],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00037384572,0.00015689002,0.000241449,0.000081215585,0.0001369286,0.00002132381,0.00022516838,0.00016228385,0.0017458813],"category_scores_gemma":[0.00043457779,0.00011582142,0.0001575703,0.00030019885,0.00025072985,0.00017599297,0.00014285794,0.00011462595,0.000007139611],"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":[0.000054927976,0.0008525566,0.9400805,0.000011254861,0.000026636366,1.794335e-7,0.0001249408,0.00042412934,0.056266107,0.00027895623,0.000079941376,0.0017998589],"study_design_scores_gemma":[0.00047804916,0.00023439113,0.9922823,0.0000025130046,0.000021296377,1.0429914e-7,0.00013658748,0.0013551994,0.004472622,0.00031877428,0.0005878008,0.00011041772],"about_ca_topic_score_codex":0.000049851362,"about_ca_topic_score_gemma":0.000007001628,"teacher_disagreement_score":0.052201733,"about_ca_system_score_codex":0.00067828805,"about_ca_system_score_gemma":0.00005676238,"threshold_uncertainty_score":0.99916667},"labels":[],"label_agreement":null},{"id":"W4407852394","doi":"10.1016/j.enbuild.2025.115482","title":"What matters the most in designing low-carbon buildings in Canada? Exploring the tradeoff between embodied and operational carbon in early stage design","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"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 Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Stage (stratigraphy); Carbon fibers; Architectural engineering; Embodied cognition; Engineering; Environmental science; Computer science; Geology","score_opus":0.013464511625400449,"score_gpt":0.20690030648629068,"score_spread":0.19343579486089024,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407852394","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.996731,0.00016824441,0.00009782194,0.0025129344,0.00005786603,0.00019889382,8.781159e-7,0.0000052317605,0.00022717052],"genre_scores_gemma":[0.9985488,0.00019004928,0.000116296105,0.0009208164,0.00001125597,0.0000610029,0.000001104579,0.000009149677,0.00014153121],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870163,0.00017381457,0.0002568386,0.0003196024,0.00019789838,0.00035018453],"domain_scores_gemma":[0.99948937,0.00027929916,0.000036621284,0.00013786934,0.0000017354438,0.000055127617],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00069369655,0.00016862425,0.0001765707,0.000066314606,0.00013071025,0.000113630966,0.00019044435,0.000047555306,0.000011347127],"category_scores_gemma":[0.00003123293,0.00012114427,0.000013475817,0.00033703318,0.00019265026,0.00045351608,0.00017750627,0.00021240284,7.269539e-8],"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":[0.000030226269,0.000015974816,0.98046476,0.000008920634,0.0000057377497,0.000013390161,0.002365558,0.009794314,0.002299689,0.00022585201,0.000013588096,0.004761995],"study_design_scores_gemma":[0.00047746586,0.000026810447,0.9828578,0.00009964443,0.000007104254,0.000001121597,0.0043717856,0.0027025545,0.008134514,0.0007056102,0.00041797024,0.00019760017],"about_ca_topic_score_codex":0.6530371,"about_ca_topic_score_gemma":0.38525456,"teacher_disagreement_score":0.2677825,"about_ca_system_score_codex":0.00080451375,"about_ca_system_score_gemma":0.00006402909,"threshold_uncertainty_score":0.6259629},"labels":[],"label_agreement":null},{"id":"W4407922354","doi":"10.3390/economies13030063","title":"Technical Progress and Sustainable Growth in the Manufacturing Sector of North American Countries, 1984–2022: A Stochastic Frontier Analysis","year":2025,"lang":"en","type":"article","venue":"Economies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Frontier; Stochastic frontier analysis; Manufacturing sector; Sustainable growth rate; Economics; Regional science; Sustainable development; Economic geography; Econometrics; Macroeconomics; Geography; Political science; Production (economics); Finance","score_opus":0.002818608325868062,"score_gpt":0.20583776037777007,"score_spread":0.20301915205190202,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407922354","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99802965,0.00010580903,0.00023923845,0.00045086845,0.000009986652,0.0003167104,0.000008718574,0.0000096420845,0.0008293892],"genre_scores_gemma":[0.9992248,0.000024110252,0.00014701189,0.00011412239,0.000005142315,0.000051568506,0.0000041202893,0.0000040555274,0.00042508155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991116,0.000057657286,0.00021479875,0.00023953282,0.00008682928,0.0002896087],"domain_scores_gemma":[0.9995729,0.00008880964,0.00007977943,0.00022167688,0.0000029695411,0.000033912875],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00033991341,0.000114974275,0.00025610605,0.000106279076,0.00009975803,0.00003743413,0.00020559893,0.000022443766,0.0001324992],"category_scores_gemma":[0.000032783286,0.000087720626,0.000055291886,0.000353571,0.00090608286,0.00017887674,0.00024430666,0.00010458411,0.0000028526529],"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":[0.00003137926,0.000056123714,0.9973961,0.000027857905,0.000036130623,0.000003587081,0.00041372704,0.0006981196,0.0000013923549,0.00015530438,0.0001245675,0.0010557242],"study_design_scores_gemma":[0.00013280097,0.0000449521,0.99628943,0.0000019572892,0.000068129084,7.2022567e-7,0.0019513668,0.0002763028,0.00013731855,0.00051617384,0.0004932567,0.000087597444],"about_ca_topic_score_codex":0.0021643075,"about_ca_topic_score_gemma":0.0039716945,"teacher_disagreement_score":0.001807387,"about_ca_system_score_codex":0.0003586474,"about_ca_system_score_gemma":0.000013254592,"threshold_uncertainty_score":0.35771433},"labels":[],"label_agreement":null},{"id":"W4408016051","doi":"10.1016/j.energy.2025.135311","title":"Factorial enviro-economic equilibrium analysis for the effects of hierarchical carbon policy on China's socio-economic and environmental systems","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"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; Mitacs","keywords":"China; Factorial analysis; Economic analysis; Factorial; Economics; Carbon fibers; Political science; Mathematics; Agricultural economics; Statistics","score_opus":0.0027448675286673788,"score_gpt":0.21600820602795964,"score_spread":0.21326333849929227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408016051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99610895,0.00023268179,0.00041999854,0.0002483865,0.0004392365,0.00034277746,0.00006210464,0.00001352716,0.0021323273],"genre_scores_gemma":[0.9981687,0.00011462962,0.000011268505,0.000073589894,0.00018193874,0.00008195798,0.000024689884,0.000015056574,0.0013281582],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987166,0.000119077544,0.00029743387,0.00041198876,0.00012504998,0.0003298416],"domain_scores_gemma":[0.9988381,0.0005287324,0.00010878561,0.0004238724,3.806383e-7,0.000100080186],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001949239,0.00021882654,0.00035237693,0.00010054867,0.00012969156,0.0000322712,0.00025224625,0.00012082631,0.00008388349],"category_scores_gemma":[0.000036202888,0.00017277378,0.00021078899,0.00007904222,0.0005502398,0.00008207793,0.0002672237,0.00010116063,0.000004267869],"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":[0.0006219035,0.00046389343,0.7455883,0.00014933769,0.0016757541,0.0000041891612,0.0010927103,0.18456756,0.03198854,0.019610979,0.0006204449,0.013616394],"study_design_scores_gemma":[0.002089132,0.0006931186,0.9029492,0.000015694208,0.00056413433,0.000001970679,0.00046629878,0.06566738,0.011346196,0.0038884585,0.011762503,0.0005558958],"about_ca_topic_score_codex":0.008888254,"about_ca_topic_score_gemma":0.00007638089,"teacher_disagreement_score":0.15736091,"about_ca_system_score_codex":0.0011723336,"about_ca_system_score_gemma":0.000030472484,"threshold_uncertainty_score":0.99771166},"labels":[],"label_agreement":null},{"id":"W4408248816","doi":"10.1016/j.buildenv.2025.112823","title":"Embodied carbon in mechanical, electrical, and plumbing systems: A critical literature review","year":2025,"lang":"en","type":"article","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure","funders":"Center for the Built Environment; ClimateWorks Foundation","keywords":"Embodied cognition; Architectural engineering; Engineering; Nanotechnology; Computer science; Materials science; Artificial intelligence","score_opus":0.005361474626773792,"score_gpt":0.25165908544490917,"score_spread":0.24629761081813537,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408248816","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9253809,0.068048075,0.00020633738,0.0020435848,0.00007041413,0.00066367805,0.000003322168,0.000034565714,0.0035491255],"genre_scores_gemma":[0.9582695,0.04009498,0.00061432086,0.0006658729,0.000011026238,0.000068600864,0.0000018931509,0.000010860194,0.00026299365],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984357,0.00013771819,0.00031066197,0.0005202696,0.00020814348,0.00038752728],"domain_scores_gemma":[0.99945456,0.00011064668,0.000033891047,0.00025539703,0.0000011238424,0.0001443808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00053640397,0.00020316224,0.00030696392,0.00004952883,0.00011927749,0.00006547278,0.00010554494,0.0001151117,0.000057299712],"category_scores_gemma":[0.00014635657,0.0001851341,0.00003575228,0.00018783896,0.00022791907,0.00011679952,0.00032952943,0.0002669277,0.0000043085674],"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":[0.00031697733,0.002764591,0.72503024,0.012240173,0.00017372661,0.0007257971,0.0021780662,0.0023754851,0.06330205,0.034420744,0.005689587,0.15078257],"study_design_scores_gemma":[0.006214361,0.0016002123,0.7202765,0.02494761,0.0008380728,0.00047487472,0.001613926,0.065971926,0.0030657419,0.038002428,0.13243157,0.0045628063],"about_ca_topic_score_codex":0.00019304703,"about_ca_topic_score_gemma":0.0000054700126,"teacher_disagreement_score":0.14621976,"about_ca_system_score_codex":0.00043054382,"about_ca_system_score_gemma":0.000004857342,"threshold_uncertainty_score":0.75495493},"labels":[],"label_agreement":null},{"id":"W4408346849","doi":"10.1016/j.ijhydene.2025.03.104","title":"Comparative techno-environmental analysis of grey, blue, green/yellow and pale-blue hydrogen production","year":2025,"lang":"en","type":"article","venue":"International Journal of Hydrogen Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":80,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Ontario Research Foundation","keywords":"Hydrogen production; Production (economics); Environmental science; Chemistry; Hydrogen; Organic chemistry; Economics","score_opus":0.007086881172340925,"score_gpt":0.2515614312060351,"score_spread":0.24447455003369414,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408346849","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977186,0.00030414874,0.00050234224,0.00048068553,0.00013413478,0.00007493805,0.000022790568,0.0000076255074,0.0007547594],"genre_scores_gemma":[0.9983089,0.00019613362,0.00019187934,0.00012573448,0.000044174234,0.0000044485387,0.000017979935,0.000007717832,0.0011030574],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982245,0.00008828347,0.0006048133,0.0002671272,0.0006347634,0.00018051654],"domain_scores_gemma":[0.9991925,0.000044330205,0.00043052633,0.00020462701,0.000027916582,0.00010014521],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003239628,0.00018414312,0.00039724194,0.00038538163,0.0000678763,0.000018406323,0.00042688288,0.00007919163,0.00046800257],"category_scores_gemma":[0.000032716245,0.00016444652,0.00024536002,0.00042879276,0.00049576804,0.00038867138,0.00028265457,0.00014175074,0.000004569485],"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":[0.00045359568,0.0011920474,0.64352804,0.0000121042995,0.005406562,0.000086840075,0.0019341203,0.11591701,0.21225575,0.00030347396,0.00034820358,0.018562268],"study_design_scores_gemma":[0.0014132201,0.00039174914,0.27289286,0.000057529785,0.0015821969,0.0001986902,0.0029197843,0.013254503,0.68994635,0.0029731893,0.013858928,0.0005109791],"about_ca_topic_score_codex":0.00047688425,"about_ca_topic_score_gemma":0.00023453485,"teacher_disagreement_score":0.47769064,"about_ca_system_score_codex":0.00050040486,"about_ca_system_score_gemma":0.00002016966,"threshold_uncertainty_score":0.67059344},"labels":[],"label_agreement":null},{"id":"W4408424284","doi":"10.5194/egusphere-egu25-4799","title":"Substantial Differences in Source Contributions to Carbon Emissions and Health Damage Revealed by Adjoint Modeling","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Carleton University","funders":"","keywords":"CMAQ; Damages; Environmental science; Climate change; Greenhouse gas; Population; Air pollution; Natural resource economics; Environmental engineering; Environmental protection; Environmental health; Geography; Air quality index; Meteorology; Economics; Ecology; Political science","score_opus":0.01980152104518185,"score_gpt":0.3043505982436826,"score_spread":0.28454907719850075,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408424284","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9815115,0.00020553538,0.008483788,0.005424585,0.00006859473,0.0010647713,0.00021026179,0.00005164295,0.002979357],"genre_scores_gemma":[0.9955043,0.00019480474,0.00051289337,0.0005076851,0.000013395561,0.000064629,0.000052665077,0.00000969799,0.0031399007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9977699,0.00018753471,0.0005060416,0.0007206477,0.00028397384,0.00053190754],"domain_scores_gemma":[0.99898654,0.000046721598,0.00008513935,0.0004502234,0.000006727884,0.00042465693],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006567797,0.0003061675,0.0005011365,0.00007497937,0.0001812318,0.00005610067,0.0002774758,0.00021488004,0.00028916294],"category_scores_gemma":[0.00011552339,0.0002730689,0.000065120905,0.00018788272,0.00014001691,0.000059343463,0.0017452344,0.0005786307,0.0000042926467],"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":[0.00005741006,0.00045250508,0.9610535,0.00017513077,0.000022279217,0.000005473326,0.0035550564,0.027630933,0.0012095508,0.00008265461,0.0023202393,0.0034352872],"study_design_scores_gemma":[0.0013317376,0.0002464797,0.5712145,0.0005906899,0.00005052582,0.000002807248,0.0043368535,0.4140083,0.0004690303,0.0055629066,0.0008175971,0.0013685717],"about_ca_topic_score_codex":0.030605108,"about_ca_topic_score_gemma":0.0034194703,"teacher_disagreement_score":0.389839,"about_ca_system_score_codex":0.001525719,"about_ca_system_score_gemma":0.00009594221,"threshold_uncertainty_score":0.99997216},"labels":[],"label_agreement":null},{"id":"W4408438947","doi":"10.5194/egusphere-egu25-4965","title":"Tracing the life cycle carbon footprint of global staple crops: an integrated approach combining machine learning and life cycle assessment","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tracing; Carbon footprint; Life-cycle assessment; Computer science; Footprint; Agricultural engineering; Engineering; Geography; Economics; Biology; Production (economics); Greenhouse gas","score_opus":0.011880969126714982,"score_gpt":0.28063028440364035,"score_spread":0.26874931527692536,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408438947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9534407,0.00020106479,0.0034358278,0.00022771406,0.00009472795,0.00083203136,0.00004452991,0.00009925379,0.041624114],"genre_scores_gemma":[0.9946855,0.000052888692,0.0047313757,0.000108943175,0.000018009952,0.00005397656,0.00006360673,0.000021148091,0.00026455315],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99681884,0.00060152187,0.000660143,0.00085999514,0.0005657618,0.0004937566],"domain_scores_gemma":[0.9985269,0.00010578653,0.00031592368,0.00068022474,0.000015613386,0.0003555534],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0012663907,0.0004788644,0.0006123209,0.000033679375,0.00029460387,0.00014331716,0.0005655726,0.00027417226,0.00026547164],"category_scores_gemma":[0.0002075067,0.0003508476,0.00014353916,0.00025324963,0.0005879105,0.00009628314,0.002729671,0.0011936745,0.000001145629],"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":[0.00007288274,0.0006387707,0.6967097,0.00022609468,0.00012077173,0.0000028322513,0.0016383436,0.28279617,0.00013636397,0.0002503364,0.000004528265,0.01740321],"study_design_scores_gemma":[0.0005688091,0.00020611868,0.55384815,0.00005577849,0.00011556896,0.0000028968752,0.010761286,0.43242368,0.00013738156,0.0013239239,0.00010770919,0.00044869253],"about_ca_topic_score_codex":0.038964916,"about_ca_topic_score_gemma":0.0012917984,"teacher_disagreement_score":0.1496275,"about_ca_system_score_codex":0.00094012957,"about_ca_system_score_gemma":0.000161192,"threshold_uncertainty_score":0.9998944},"labels":[],"label_agreement":null},{"id":"W4408480017","doi":"10.1177/23998083251325925","title":"A consequential framework to quantify the climate impacts of passenger travel","year":2025,"lang":"en","type":"article","venue":"Environment and Planning B Urban Analytics and City Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Climate change; Passenger transport; Environmental science; Environmental planning; Environmental resource management; Regional science; Transport engineering; Geography; Engineering; Geology","score_opus":0.01451803313270196,"score_gpt":0.2762376695132575,"score_spread":0.26171963638055556,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408480017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942869,0.0001832814,0.0026362583,0.00083792495,0.000058361326,0.00021937718,0.000012145989,0.0000067733076,0.001758982],"genre_scores_gemma":[0.99830073,0.00012843832,0.00079709536,0.000508181,0.000012519873,0.000003877866,0.0000011777577,0.000004314744,0.00024368257],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985355,0.000040300783,0.00023880438,0.00040113507,0.0003709937,0.00041322334],"domain_scores_gemma":[0.99925375,0.00014615482,0.00007757292,0.00031457798,0.0000035457401,0.00020439706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009943934,0.00016262766,0.00019065889,0.000070541384,0.00049173477,0.00009777362,0.00026940406,0.00006108111,0.00018616595],"category_scores_gemma":[0.00014837606,0.00011760648,0.00004086357,0.00034909518,0.002009062,0.00016083813,0.00047951,0.0001779497,0.000009269232],"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":[0.000029530482,0.00005069918,0.98846054,0.000014319212,0.000010304755,0.000003479761,0.0016595668,0.00037632414,0.006736866,0.0016737188,0.0003028774,0.00068178907],"study_design_scores_gemma":[0.00012994645,0.000097291966,0.9918355,0.000036331083,0.00003648895,0.0000025755228,0.0012461301,0.0019418657,0.0020791877,0.0014051934,0.0010390505,0.00015044255],"about_ca_topic_score_codex":0.00014849544,"about_ca_topic_score_gemma":0.000007558896,"teacher_disagreement_score":0.004657679,"about_ca_system_score_codex":0.00011137253,"about_ca_system_score_gemma":0.000018624174,"threshold_uncertainty_score":0.7402473},"labels":[],"label_agreement":null},{"id":"W4408700903","doi":"10.4095/st000013","title":"Operational-scale Carbon Budget Model of the Canadian Forest Sector (CBM-CFS3) version 1.2: user’s guide","year":2024,"lang":"fr","type":"report","venue":"","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":"Scale (ratio); Carbon fibers; Environmental science; Computer science; Operations research; Environmental resource management; Geography; Engineering; Cartography","score_opus":0.017337986150894748,"score_gpt":0.24231647833339934,"score_spread":0.2249784921825046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408700903","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6143058,0.00037933153,0.000036635764,0.0030695333,0.0014133857,0.0010224639,0.00059956306,0.000023411434,0.37914988],"genre_scores_gemma":[0.68643945,0.00017436864,0.0004001973,0.00035087692,0.000106074294,0.000025817886,0.00008663578,0.000056876113,0.3123597],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.995923,0.00012936653,0.00081210496,0.00083577173,0.0014928231,0.000806969],"domain_scores_gemma":[0.99802256,0.00005175503,0.00018689083,0.0010793039,0.00004837259,0.00061114074],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00079917256,0.00055678096,0.00049115124,0.00010370162,0.00040747382,0.00011172331,0.00078921625,0.0006440301,0.00675495],"category_scores_gemma":[0.00011672978,0.00040933685,0.00043442746,0.0003353922,0.0010675077,0.000262137,0.0007970412,0.0006912599,0.00041312954],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017056518,0.00022345237,0.7282623,0.00048639614,0.00011267123,0.000039400325,0.00083145144,0.19961725,0.0058088424,0.00097521377,0.06303061,0.000595344],"study_design_scores_gemma":[0.00048576997,0.00022229136,0.3856,0.00036872854,0.00053349294,0.00008257991,0.0010445226,0.20223324,0.008087536,0.0029882106,0.39686015,0.0014934447],"about_ca_topic_score_codex":0.8557058,"about_ca_topic_score_gemma":0.9459469,"teacher_disagreement_score":0.3426623,"about_ca_system_score_codex":0.012507534,"about_ca_system_score_gemma":0.0023055272,"threshold_uncertainty_score":0.99983585},"labels":[],"label_agreement":null},{"id":"W4408723695","doi":"10.1021/acs.est.4c12667","title":"Emission Factor Recommendation for Life Cycle Assessments with Generative AI","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":23,"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":"Factor (programming language); Generative grammar; Life-cycle assessment; Environmental science; Computer science; Artificial intelligence; Economics","score_opus":0.00711622386209644,"score_gpt":0.29618162568884404,"score_spread":0.2890654018267476,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408723695","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9673006,0.000017671935,0.02286613,0.004402827,0.000121210986,0.00095068896,0.000032939268,0.000109374676,0.0041985707],"genre_scores_gemma":[0.9919259,0.000016416583,0.0051455176,0.0012713314,0.000011439901,0.00017641891,0.000022869379,0.000015296553,0.0014147963],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997823,0.00003611896,0.00027983225,0.0008385651,0.00036513555,0.00065734156],"domain_scores_gemma":[0.9991999,0.000035152327,0.00011580283,0.00044963724,0.000004458597,0.00019504882],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00033664305,0.0002654493,0.00021820856,0.0002454469,0.00082482287,0.00006177934,0.00057793787,0.00016006944,0.0018793972],"category_scores_gemma":[0.00007979971,0.00021768102,0.000051608848,0.0009463061,0.0024554515,0.00078464026,0.00062764296,0.00023778716,0.00007478411],"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":[0.00013237199,0.00068025064,0.5775084,0.000011385367,0.000025548667,0.000002976376,0.00022254263,0.0008966677,0.29200882,0.000443081,0.0009599411,0.12710801],"study_design_scores_gemma":[0.0025127684,0.0016051756,0.5583122,0.000030478122,0.000057754703,0.000013758456,0.0032676107,0.011275737,0.3500892,0.009911182,0.061933663,0.0009905061],"about_ca_topic_score_codex":0.000029200519,"about_ca_topic_score_gemma":0.000014681932,"teacher_disagreement_score":0.1261175,"about_ca_system_score_codex":0.0019099136,"about_ca_system_score_gemma":0.00006688764,"threshold_uncertainty_score":0.99903303},"labels":[],"label_agreement":null},{"id":"W4408733358","doi":"10.1007/s11367-025-02444-9","title":"Policy implications of time-differentiated climate change analysis in life cycle assessment of building elements in Aotearoa New Zealand","year":2025,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"École de Technologie Supérieure","funders":"Scion; BRANZ; Massey University","keywords":"Aotearoa; Climate change; Climatology; Sociology; Gender studies; Geology; Oceanography","score_opus":0.014624880460404239,"score_gpt":0.35531971620295516,"score_spread":0.34069483574255094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408733358","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99032617,0.000020906285,0.0006429421,0.0076471902,0.000069530965,0.0002542096,0.000028286484,0.0000038107883,0.00100696],"genre_scores_gemma":[0.9979522,0.00017557343,0.0013172319,0.000351682,0.000046006164,0.000011462921,0.0000106634,0.000007930036,0.00012723252],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99754596,0.00018968416,0.0011354107,0.00017931615,0.0006912068,0.00025840782],"domain_scores_gemma":[0.99864745,0.00015039401,0.00076509354,0.00026474774,0.000043007738,0.0001293011],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001154018,0.00014919063,0.0004080421,0.0005335077,0.000033798766,0.000034276363,0.00075819663,0.0000510447,0.00051423704],"category_scores_gemma":[0.00011083057,0.000118011536,0.00019109657,0.000839198,0.000105392464,0.00029923156,0.00044892766,0.0002318948,0.0000018240686],"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":[0.00006024635,0.00062488485,0.9608101,0.000008437103,0.00035543242,0.0000023333223,0.00034023752,0.03043135,0.0040145023,0.00036347378,0.00009145056,0.0028975105],"study_design_scores_gemma":[0.0010906527,0.00006774072,0.97641283,0.000056574645,0.00010148147,0.0000013077149,0.00020563582,0.016727097,0.0002119053,0.0050050137,0.000037138547,0.00008260894],"about_ca_topic_score_codex":0.0038096893,"about_ca_topic_score_gemma":0.00043412825,"teacher_disagreement_score":0.015602703,"about_ca_system_score_codex":0.0011491445,"about_ca_system_score_gemma":0.0002148508,"threshold_uncertainty_score":0.5759136},"labels":[],"label_agreement":null},{"id":"W4408824781","doi":"10.5194/oos2025-751","title":"Is blue carbon a ‘red herring’? Problems regarding magnitude, cost-effectiveness and timescale","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","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":"Fisheries and Oceans Canada","funders":"","keywords":"Herring; Magnitude (astronomy); Environmental science; Fishery; Biology; Physics; Fish <Actinopterygii>; Astrophysics","score_opus":0.018076818671733465,"score_gpt":0.27632309093109103,"score_spread":0.2582462722593576,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408824781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8934264,0.00016167156,0.00027949034,0.00030196612,0.00015921886,0.002589517,0.000028858036,0.00011022809,0.10294262],"genre_scores_gemma":[0.98639196,0.000109946384,0.00056361995,0.00021844334,0.000023096205,0.00037727624,0.00001360334,0.000025494664,0.012276555],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99759185,0.00022040485,0.00031404017,0.0010303265,0.00035429283,0.00048910396],"domain_scores_gemma":[0.99887115,0.000098355726,0.000104951854,0.0007094381,0.000008708024,0.00020738432],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00066446135,0.00044931102,0.00050606055,0.000059118298,0.00013842378,0.00010190041,0.0003442025,0.00035924782,0.0011360239],"category_scores_gemma":[0.000059053746,0.00040870107,0.00014829067,0.00014457176,0.00034653346,0.00013123224,0.0033318547,0.00058074767,0.000027242797],"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":[0.00012550474,0.00035964616,0.96735483,0.0014998099,0.00012799344,0.000022220931,0.001716601,0.009040153,0.0017341621,0.000029784353,0.00079204823,0.017197233],"study_design_scores_gemma":[0.0014137558,0.00018786365,0.9598937,0.00051928154,0.0001895108,0.000012937554,0.00050959835,0.011153646,0.010466886,0.005168318,0.009204102,0.0012804135],"about_ca_topic_score_codex":0.00312384,"about_ca_topic_score_gemma":0.00024285498,"teacher_disagreement_score":0.092965536,"about_ca_system_score_codex":0.0011551527,"about_ca_system_score_gemma":0.00003176341,"threshold_uncertainty_score":0.9998365},"labels":[],"label_agreement":null},{"id":"W4408963647","doi":"10.1016/j.buildenv.2025.112901","title":"Corrigendum to “Product stage embodied greenhouse gas reductions in single-family dwellings: drivers of embodied greenhouse gas emissions and variability between Toronto, Perth and Luzon” [Building and Environment 242 (2023) 120/110599]","year":2025,"lang":"en","type":"erratum","venue":"Building and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Greenhouse gas; Stage (stratigraphy); Environmental science; Single family; Product (mathematics); Embodied cognition; Architectural engineering; Engineering; Civil engineering; Computer science; Ecology; Geology; Mathematics; Biology","score_opus":0.018378581316269307,"score_gpt":0.2436295601426283,"score_spread":0.22525097882635897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4408963647","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856905,0.003979659,0.0008022333,0.0008714982,0.0012155023,0.002280805,0.00048672195,0.00009155607,0.0045815427],"genre_scores_gemma":[0.9071015,0.044842362,0.011562276,0.00022075644,0.00039226073,0.00021737313,0.0001845269,0.00022631016,0.035252593],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9933267,0.00044711752,0.0013074812,0.0027292965,0.000920806,0.0012685574],"domain_scores_gemma":[0.9969367,0.00020590144,0.0004920532,0.0013411471,0.0000076072115,0.0010165842],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0015084747,0.0012241792,0.0014830277,0.00024560597,0.00073475315,0.00013832198,0.0004781724,0.00067848765,0.0005941526],"category_scores_gemma":[0.0002147984,0.0012482285,0.00017717459,0.00021684566,0.001926635,0.0005062329,0.0021887973,0.0010675051,0.0000080097525],"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":[0.0008585106,0.0049684905,0.59065014,0.0032094943,0.0010149026,0.00018429737,0.01888302,0.0071757636,0.06824584,0.00042019394,0.06109347,0.24329588],"study_design_scores_gemma":[0.003794227,0.0022934163,0.5461574,0.0012615274,0.001390789,0.0000546885,0.0077873794,0.0013803536,0.002060348,0.0032913536,0.42602104,0.0045074774],"about_ca_topic_score_codex":0.006914061,"about_ca_topic_score_gemma":0.00048327647,"teacher_disagreement_score":0.36492756,"about_ca_system_score_codex":0.0027508703,"about_ca_system_score_gemma":0.000059024405,"threshold_uncertainty_score":0.999699},"labels":[],"label_agreement":null},{"id":"W4409086639","doi":"10.1007/s00267-025-02151-z","title":"Spatio-temporal Dynamics of Water Footprints of Food Consumption in South Korea: A Decomposition Analysis","year":2025,"lang":"en","type":"article","venue":"Environmental Management","topic":"Environmental Impact and Sustainability","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":"Simon Fraser University","funders":"","keywords":"Divisia index; Sustainability; Environmental science; Population; Food security; Geography; Environmental health; Ecology; Agriculture; Energy consumption; Energy intensity; Biology","score_opus":0.005193601306913358,"score_gpt":0.22723353019899167,"score_spread":0.22203992889207833,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409086639","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933932,0.000023919043,0.0029581126,0.000051994226,0.00003414393,0.00055478566,0.000036205078,0.000010367457,0.002937319],"genre_scores_gemma":[0.9982768,0.00002973718,0.00092252676,0.000031611555,0.0000018284217,0.000036156172,0.00026326976,0.000009057533,0.0004289986],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99839944,0.00008970865,0.0005279158,0.00037433574,0.00033129132,0.00027733747],"domain_scores_gemma":[0.9993984,0.000014446346,0.00013015137,0.00040440826,0.0000010668441,0.00005149659],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0003019342,0.00018846107,0.00030668607,0.0002588575,0.00004817349,0.000008469532,0.00021197624,0.00006782969,0.0017020524],"category_scores_gemma":[0.0000027328751,0.0001718644,0.000148107,0.00034132475,0.00034186986,0.00014102373,0.0005440099,0.00008647855,0.00004536708],"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":[0.00009100696,0.0005964006,0.9872817,0.00008541453,0.00023364696,0.000004766666,0.0005175756,0.007568689,0.0009015419,0.00028434998,0.0000069326625,0.0024280115],"study_design_scores_gemma":[0.00070237415,0.000109868866,0.9837262,0.000017386421,0.00025836757,2.2863627e-7,0.0009063905,0.0029995644,0.010017499,0.0010376874,0.00007164535,0.00015276787],"about_ca_topic_score_codex":0.00015263034,"about_ca_topic_score_gemma":0.0004722979,"teacher_disagreement_score":0.009115958,"about_ca_system_score_codex":0.0010150973,"about_ca_system_score_gemma":0.0000015322564,"threshold_uncertainty_score":0.99921054},"labels":[],"label_agreement":null},{"id":"W4409142474","doi":"10.1016/j.scitotenv.2025.179269","title":"Global sensitivity analysis reduces data collection efforts in LCA: A comparison between two additive manufacturing technologies","year":2025,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke; Polytechnique Montréal","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Sciences and Engineering Research Council of Canada","keywords":"Sensitivity (control systems); Data collection; Computer science; Data science; Engineering; Statistics; Mathematics","score_opus":0.01347104207323611,"score_gpt":0.2807804961029015,"score_spread":0.2673094540296654,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409142474","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9960023,0.000028864955,0.000332685,0.0010005026,0.000068840796,0.0005117158,0.000056775098,0.000025479596,0.0019728406],"genre_scores_gemma":[0.9994306,0.000015346475,0.00028144842,0.000010165831,0.0000053436343,0.000012961068,0.0000066901325,0.0000033243653,0.00023410155],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.997693,0.00018934737,0.00035443626,0.00062423584,0.00070653495,0.00043243382],"domain_scores_gemma":[0.9982415,0.00011840707,0.00019393323,0.001399179,0.000002181429,0.000044799042],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0018687791,0.00019202447,0.0003098376,0.00009562435,0.0005141668,0.000041120835,0.0012569295,0.000055985092,0.000090724614],"category_scores_gemma":[0.00013871014,0.00012018281,0.00010340886,0.0016796396,0.003830779,0.00041399637,0.004116113,0.0002015656,0.000012872062],"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":[0.000068208086,0.0004599272,0.44191903,0.000010522622,0.00019224866,0.0000038979406,0.000720206,0.5042142,0.00965226,0.00008130002,0.00023965366,0.04243854],"study_design_scores_gemma":[0.00016329085,0.000028059025,0.9053343,0.000011068484,0.0001642878,0.0000018177658,0.0011580241,0.01406516,0.077793494,0.0011242362,0.00003426218,0.000122029596],"about_ca_topic_score_codex":0.0020194398,"about_ca_topic_score_gemma":0.00021666031,"teacher_disagreement_score":0.49014905,"about_ca_system_score_codex":0.0017183123,"about_ca_system_score_gemma":0.000032765543,"threshold_uncertainty_score":0.9988802},"labels":[],"label_agreement":null},{"id":"W4409166807","doi":"10.3390/su17073188","title":"Comparative Life Cycle Assessment (LCA) in the Aerospace Industry Regarding Aviation Seat Frame Options","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Aerospace; Aviation; Life-cycle assessment; Aeronautics; Frame (networking); Engineering; Business; Manufacturing engineering; Aerospace engineering; Economics; Telecommunications; Production (economics)","score_opus":0.011419905455258386,"score_gpt":0.32951581731906826,"score_spread":0.31809591186380987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409166807","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9702137,0.000036684112,0.0013345529,0.010411627,0.00007233903,0.0013338858,0.0000059388467,0.0000458785,0.01654539],"genre_scores_gemma":[0.99755365,0.000004817034,0.0003376597,0.0008308249,0.000018591149,0.00019270506,0.000010528566,0.0000069673824,0.0010442309],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99737334,0.0007506947,0.00037555193,0.00052958133,0.0004378635,0.0005329455],"domain_scores_gemma":[0.9986811,0.00029112212,0.00009238729,0.0007693865,0.00004258158,0.0001233976],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018934683,0.00023111302,0.0002851978,0.00006121919,0.00043468046,0.00010954873,0.00042607603,0.0002496589,0.00052501337],"category_scores_gemma":[0.00076241285,0.00018305442,0.000107616055,0.0008704548,0.0006018959,0.00052612537,0.0003847829,0.0009587225,0.000020666943],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029944827,0.00049802195,0.9729858,0.00004343234,0.000010927191,0.000004935796,0.0026531748,0.017176885,0.00004319978,0.0050829495,0.0010599426,0.00041078997],"study_design_scores_gemma":[0.00038499627,0.000053583266,0.9410434,0.000008444063,0.000017957638,7.879593e-7,0.025501251,0.0023328257,0.00005728404,0.029097011,0.0013331572,0.00016934142],"about_ca_topic_score_codex":0.001364339,"about_ca_topic_score_gemma":0.00048248738,"teacher_disagreement_score":0.031942435,"about_ca_system_score_codex":0.0056482176,"about_ca_system_score_gemma":0.00022840865,"threshold_uncertainty_score":0.99816895},"labels":[],"label_agreement":null},{"id":"W4409212235","doi":"10.3390/buildings15071192","title":"A Comparative Whole-Building Life Cycle Assessment of the Four Framing Systems of the Bakers Place Building Using the Tally LCA Tool","year":2025,"lang":"en","type":"article","venue":"Buildings","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"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 New Brunswick","funders":"New Brunswick Innovation Foundation","keywords":"Framing (construction); Architectural engineering; Life-cycle assessment; Engineering; Civil engineering; Economics","score_opus":0.0154603353292577,"score_gpt":0.29486460261392844,"score_spread":0.2794042672846707,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409212235","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98930377,0.000109529494,0.0070606926,0.00069931924,0.00032167733,0.0010277195,0.000013693543,0.000018264167,0.0014453315],"genre_scores_gemma":[0.99711955,0.0000036901802,0.002267257,0.00025206857,0.000024150144,0.00002446021,3.341303e-7,0.0000157273,0.00029276958],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99756426,0.00034367063,0.00058317016,0.0003750433,0.0007044197,0.00042946494],"domain_scores_gemma":[0.9983324,0.00033557156,0.00048310315,0.0007625821,0.000022022507,0.00006432702],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011706265,0.00026123677,0.00039487073,0.000038600814,0.0006493764,0.00008510702,0.0010587563,0.00010118238,0.00005230313],"category_scores_gemma":[0.00023368312,0.00014702759,0.00024207747,0.00069809816,0.00085205626,0.00028668655,0.0012893094,0.00038294223,0.0000011464394],"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":[0.000025914773,0.0001154307,0.2902636,0.00011892655,0.00009130932,8.522857e-7,0.0018141447,0.46867257,0.2359632,0.0023597125,0.00034166905,0.00023269642],"study_design_scores_gemma":[0.00088553847,0.00007530515,0.7259903,0.0006626665,0.00022247064,0.000013506235,0.011559172,0.22267932,0.032327656,0.0009228284,0.0042095752,0.00045169878],"about_ca_topic_score_codex":0.0013318703,"about_ca_topic_score_gemma":0.000033886583,"teacher_disagreement_score":0.43572667,"about_ca_system_score_codex":0.0008771501,"about_ca_system_score_gemma":0.00012193631,"threshold_uncertainty_score":0.59956115},"labels":[],"label_agreement":null},{"id":"W4409235460","doi":"10.1080/17583004.2025.2486624","title":"Scope 3 decarbonization through environmental attribute certificates","year":2025,"lang":"en","type":"article","venue":"Carbon Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University; Western University","funders":"Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Scope (computer science); Environmental science; Environmental resource management; Business; Environmental economics; Environmental planning; Computer science; Economics","score_opus":0.005767291461221002,"score_gpt":0.22750895672678004,"score_spread":0.22174166526555902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409235460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7285005,0.00032591683,0.0015417673,0.00083978084,0.00022689208,0.0007893196,0.0000055215523,0.00010294547,0.26766738],"genre_scores_gemma":[0.9876923,0.00027472895,0.0006659644,0.0006331156,0.000014626372,0.000069059446,0.00003399854,0.000017003782,0.010599217],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984142,0.00006561519,0.0002807855,0.00051682815,0.00031293777,0.000409612],"domain_scores_gemma":[0.99928933,0.000018213646,0.000059962367,0.0005573657,0.000001521009,0.00007362499],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00019853724,0.00022569788,0.00016618038,0.000044860673,0.00015540616,0.000047991554,0.0003108588,0.00007104388,0.0010218112],"category_scores_gemma":[0.000010998735,0.00022200406,0.0000751328,0.00032449132,0.00027909412,0.0002018133,0.0006361368,0.00010441835,0.00021988977],"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":[0.000077718105,0.00077984267,0.93988526,0.00012931708,0.00017080826,0.00006389269,0.0005980312,0.0042045433,0.0082479045,0.0027724379,0.009726337,0.03334388],"study_design_scores_gemma":[0.0009733087,0.00007520499,0.8657742,0.000034762732,0.00015263457,0.0000018141608,0.0012498808,0.001885498,0.015400211,0.0060646296,0.10782299,0.0005648471],"about_ca_topic_score_codex":0.00012317982,"about_ca_topic_score_gemma":0.000011458432,"teacher_disagreement_score":0.2591918,"about_ca_system_score_codex":0.00097426004,"about_ca_system_score_gemma":0.0000036593897,"threshold_uncertainty_score":0.9998914},"labels":[],"label_agreement":null},{"id":"W4409254518","doi":"10.1016/j.jclepro.2025.145436","title":"Reshaping regional carbon productivity in the Pearl River Delta megaregion: Input-output-based multi-objective optimization to explore low-carbon industrial transitions","year":2025,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Regina","funders":"Key Laboratory of Engineering Plastics, Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Productivity; Carbon fibers; Delta; Carbon flux; Environmental science; Natural resource economics; Environmental engineering; Economics; Engineering; Computer science; Ecology; Economic growth; Ecosystem","score_opus":0.04897297890553455,"score_gpt":0.2766330984461438,"score_spread":0.22766011954060927,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409254518","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977131,0.000031429863,0.003501759,0.01781675,0.00042155644,0.0007799692,0.0000011033532,0.000012825387,0.00030359978],"genre_scores_gemma":[0.9978075,0.000007859304,0.0011592917,0.00037976747,0.0003801695,0.000025688503,0.0000055093656,0.000013337112,0.00022090321],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9978445,0.00051425555,0.0004630777,0.00037642271,0.0005514195,0.00025031765],"domain_scores_gemma":[0.99926865,0.00003974429,0.00022673015,0.00032749522,0.000061109604,0.000076280056],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014882172,0.00018281904,0.00021564425,0.00023044099,0.00016789896,0.00003790973,0.00023223685,0.000114221686,0.000016456039],"category_scores_gemma":[0.0004654589,0.0001330572,0.000102626254,0.00075173925,0.00030879176,0.00037584204,0.000051470375,0.0005215462,0.0000010776458],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084397435,0.0008066381,0.036242384,0.000020659209,0.000023594124,0.000014205609,0.009412191,0.94363433,0.0017578352,0.000003037192,0.0010738715,0.006167255],"study_design_scores_gemma":[0.008278417,0.0019851106,0.8626988,0.00086921273,0.000399992,0.00023505685,0.037945274,0.054543782,0.023152446,0.0010150122,0.007541526,0.0013353907],"about_ca_topic_score_codex":0.00033532394,"about_ca_topic_score_gemma":0.00019794212,"teacher_disagreement_score":0.8890906,"about_ca_system_score_codex":0.00093052356,"about_ca_system_score_gemma":0.0000933047,"threshold_uncertainty_score":0.54259145},"labels":[],"label_agreement":null},{"id":"W4409346411","doi":"10.1111/jiec.70023","title":"The updated and improved method for water scarcity impact assessment in LCA, AWARE2.0","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Total; Hydro-Québec; L'Oreal USA","keywords":"Scarcity; Industrial ecology; Water scarcity; Natural resource economics; Environmental science; Business; Environmental economics; Environmental resource management; Economics; Sustainability; Water resources; Ecology; Microeconomics","score_opus":0.013336822387692097,"score_gpt":0.33820975717112184,"score_spread":0.32487293478342977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409346411","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99398917,0.000012609476,0.0007136584,0.0041513303,0.00034490332,0.0004501662,0.0000039482875,0.0000024816477,0.00033173413],"genre_scores_gemma":[0.9983195,0.000014482227,0.0011587961,0.00019033081,0.00005504782,0.000012162967,0.0000020326863,0.0000051481866,0.00024251916],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985706,0.00032714114,0.00049717556,0.00014307637,0.00010469348,0.00035730604],"domain_scores_gemma":[0.9991966,0.00040182582,0.00016667726,0.00012867336,0.000015172323,0.00009103656],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002920119,0.00011843557,0.00028312684,0.00006093427,0.00017122822,0.000040677805,0.000210132,0.00019173979,0.00029481735],"category_scores_gemma":[0.00029306146,0.00006305247,0.00010684397,0.00011065109,0.0002019242,0.00017432337,0.00019341575,0.00046732687,0.0000012884772],"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":[0.0008341481,0.00020966261,0.94765705,0.0000038127953,0.00008428421,0.000009638776,0.0001788028,0.00093411194,0.0116171865,0.000051358085,0.004419976,0.033999983],"study_design_scores_gemma":[0.004760013,0.0012473585,0.9700129,0.000007584563,0.00006224733,0.000031090854,0.0007441905,0.0033730867,0.0048980704,0.0062702913,0.008450297,0.00014289416],"about_ca_topic_score_codex":0.00033298213,"about_ca_topic_score_gemma":0.00044606155,"teacher_disagreement_score":0.03385709,"about_ca_system_score_codex":0.0011008106,"about_ca_system_score_gemma":0.00011417944,"threshold_uncertainty_score":0.32280433},"labels":[],"label_agreement":null},{"id":"W4409375597","doi":"10.1002/cjce.25692","title":"Weighing risks against <scp>GHG</scp> reduction benefits in emerging green technologies","year":2025,"lang":"en","type":"article","venue":"The Canadian Journal of Chemical Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"Norges Forskningsråd","keywords":"Reduction (mathematics); Natural resource economics; Business; Environmental economics; Greenhouse gas; Environmental science; Economics; Biology; Ecology; Mathematics","score_opus":0.007643530356675324,"score_gpt":0.20701055044429523,"score_spread":0.19936702008761992,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409375597","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973219,0.0003941278,0.00006402317,0.0009820295,0.00013873698,0.00007425003,0.0000012196101,0.000017793,0.0010059311],"genre_scores_gemma":[0.9995744,0.000013458294,0.00028092662,0.0000395491,0.000028240722,0.0000024530511,5.4528243e-7,0.000008659934,0.00005174126],"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99914217,0.000013275852,0.0002611935,0.0001061571,0.00013712003,0.00034011266],"domain_scores_gemma":[0.99959457,0.0000548873,0.00006457545,0.0001514323,0.0000064645137,0.00012806432],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036795845,0.00011420738,0.00014206315,0.00013422953,0.000076536024,0.000031000545,0.00034332793,0.00009467903,0.0000137828965],"category_scores_gemma":[0.00039062687,0.000093445095,0.000060169357,0.00036472201,0.00013721765,0.00018746729,0.00006854896,0.0004994662,0.0000034756815],"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":[0.000006513772,0.000042877124,0.11556937,0.00007018766,0.00006479442,0.000095162766,0.0026021486,0.5819051,0.22461204,0.0005231043,0.0008410113,0.07366765],"study_design_scores_gemma":[0.0016445906,0.00010696021,0.20455898,0.0008199337,0.00011234817,0.00022129298,0.0063855876,0.039667647,0.7225716,0.006658977,0.016658176,0.0005939149],"about_ca_topic_score_codex":0.004001024,"about_ca_topic_score_gemma":0.0005385767,"teacher_disagreement_score":0.54223746,"about_ca_system_score_codex":0.0011747064,"about_ca_system_score_gemma":0.000053478318,"threshold_uncertainty_score":0.60483783},"labels":[],"label_agreement":null},{"id":"W4409553984","doi":"10.1051/e3sconf/202562501018","title":"Research Progress on Carbon Footprint Accounting and Evaluation of Automotive Seats Based on Life Cycle Assessment (LCA)","year":2025,"lang":"en","type":"article","venue":"E3S Web of Conferences","topic":"Environmental Impact and Sustainability","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":"123 Certification (Canada)","funders":"","keywords":"Carbon footprint; Life-cycle assessment; Automotive industry; Footprint; Ecological footprint; Environmental economics; Accounting; Engineering; Environmental science; Manufacturing engineering; Greenhouse gas; Business; Production (economics); Economics; Sustainable development; Geography; Political science","score_opus":0.04364915348452535,"score_gpt":0.39155365447263046,"score_spread":0.3479045009881051,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409553984","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.86036855,0.000023797566,0.000006531949,0.0005953555,0.000033830514,0.0004955502,0.0000027008377,0.000008812342,0.13846488],"genre_scores_gemma":[0.9997345,0.000006390067,0.00012107024,0.000035220775,0.0000069207376,0.00004623614,0.0000022556944,0.000003969566,0.000043441367],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9976045,0.00044755128,0.00023369292,0.00029451013,0.0012022761,0.00021745503],"domain_scores_gemma":[0.99922764,0.00027583702,0.000105026505,0.00024760913,0.00008001356,0.00006385203],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030476584,0.00011128712,0.00018297098,0.00011151561,0.00009131465,0.000029514416,0.0001763463,0.00006399692,0.00024882986],"category_scores_gemma":[0.00027591884,0.00009264482,0.00003194144,0.00024046749,0.00066234637,0.000049433358,0.00015776958,0.000178429,0.0000015314221],"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":[0.00008153386,0.00044866573,0.93090683,0.000065880944,0.000018530458,6.7366125e-7,0.000229358,0.006417049,0.0011154488,0.001274089,0.000012601212,0.059429344],"study_design_scores_gemma":[0.00044805554,0.000405297,0.87676877,0.00009398666,0.000018491215,4.50652e-8,0.0011699923,0.110274814,0.008968892,0.0017311004,0.000050435814,0.00007011079],"about_ca_topic_score_codex":0.0005310497,"about_ca_topic_score_gemma":0.00010622642,"teacher_disagreement_score":0.13936596,"about_ca_system_score_codex":0.00030286016,"about_ca_system_score_gemma":0.0005131487,"threshold_uncertainty_score":0.3777946},"labels":[],"label_agreement":null},{"id":"W4409685626","doi":"10.53326/pmkh1350","title":"Impact of Subsidies and Incentives on Socio-Ecological Production Landscapes and Seascapes (SEPLS)","year":2025,"lang":"en","type":"report","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Incentive; Production (economics); Geography; Ecology; Natural resource economics; Fishery; Economics; Biology","score_opus":0.013651741162517444,"score_gpt":0.30282903760532354,"score_spread":0.2891772964428061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409685626","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94533277,0.00045451065,0.0000016777803,0.00014826556,0.000085455315,0.0004284491,0.000027245102,0.000027136724,0.053494513],"genre_scores_gemma":[0.9814341,0.0042171814,0.00005880934,0.00001458539,0.000039488583,0.000016270082,0.000024404619,0.000009837203,0.014185296],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983739,0.000097728815,0.00027773526,0.0005520167,0.0004343418,0.00026426767],"domain_scores_gemma":[0.99939203,0.00010528427,0.0001561656,0.00022950958,0.000016354616,0.00010063097],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005063956,0.00029703905,0.00044970307,0.00005868965,0.00013055345,0.000026975915,0.00009540192,0.00024552658,0.0012045931],"category_scores_gemma":[0.00034737226,0.00019766265,0.00013394016,0.00009882183,0.00060121575,0.00015645353,0.00037203534,0.00022637958,0.000006069888],"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":[0.00006100863,0.00028791465,0.9835242,0.00015976168,0.00008005866,0.000003341084,0.0002610588,0.000042161573,0.00033507936,0.000008031054,0.004001472,0.011235924],"study_design_scores_gemma":[0.0001411741,0.0003955264,0.9965521,0.000038312824,0.000056928136,0.000009333555,0.00048684317,0.000013230811,0.00019497675,0.0003742199,0.0015369422,0.00020038134],"about_ca_topic_score_codex":0.00070175005,"about_ca_topic_score_gemma":0.00019005446,"teacher_disagreement_score":0.039309215,"about_ca_system_score_codex":0.00070368557,"about_ca_system_score_gemma":0.00006717602,"threshold_uncertainty_score":0.9997084},"labels":[],"label_agreement":null},{"id":"W4409702750","doi":"10.53555/sfs.v12i1.3549","title":"Study Of The Environmental And Social Impact Of The Construction Of A Wood Cluster","year":2025,"lang":"en","type":"article","venue":"Journal of Survey in Fisheries Sciences","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Cluster (spacecraft); Computer science","score_opus":0.04458259635652074,"score_gpt":0.2806919517639688,"score_spread":0.2361093554074481,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4409702750","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9992091,0.000020252688,0.0000019171325,0.00017715442,0.000108914144,0.00017262316,0.000011210817,4.1104755e-7,0.0002984244],"genre_scores_gemma":[0.99990106,0.000009350193,0.000034959874,0.000014805668,0.000003661177,6.669552e-7,7.1852746e-8,0.0000015866149,0.000033862707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99844164,0.00047192647,0.00045103004,0.000096817676,0.0004221933,0.00011637999],"domain_scores_gemma":[0.9992649,0.0001373568,0.0004599076,0.00011336677,0.000006895787,0.000017602808],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001721541,0.00007928913,0.0002158458,0.00004013054,0.00013327604,0.000013056974,0.00037463984,0.000035322195,0.000110803034],"category_scores_gemma":[0.00011295482,0.00004077483,0.00009598876,0.00034308073,0.0030244843,0.00028646106,0.00031271193,0.00012432049,8.2662915e-8],"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":[0.00006585196,0.00025955422,0.99336207,0.000006467965,0.000014273883,1.9103449e-7,0.0032382612,0.00022937996,0.0021323678,0.0000026456491,0.000049700295,0.0006392393],"study_design_scores_gemma":[0.0003882445,0.00037678063,0.9884888,0.0000105682275,0.000011968807,0.0000059323716,0.0094076395,0.000009171869,0.0009891236,0.00027060937,0.0000060553866,0.000035120454],"about_ca_topic_score_codex":0.0013815676,"about_ca_topic_score_gemma":0.00092554546,"teacher_disagreement_score":0.0061693788,"about_ca_system_score_codex":0.00017273522,"about_ca_system_score_gemma":0.000049918617,"threshold_uncertainty_score":0.9996887},"labels":[],"label_agreement":null},{"id":"W4410063178","doi":"10.1016/j.resourpol.2025.105605","title":"Quantifying conflict risks in raw material supply using the INFORM risk index","year":2025,"lang":"en","type":"article","venue":"Resources Policy","topic":"Environmental Impact and Sustainability","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 Waterloo","funders":"EIT RawMaterials; European Institute of Innovation and Technology; European Commission","keywords":"Index (typography); Business; Risk assessment; Raw material; Natural resource economics; Risk analysis (engineering); Economics; Computer science","score_opus":0.03398860016529673,"score_gpt":0.34142204369172097,"score_spread":0.3074334435264242,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410063178","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889828,0.000036888698,0.00003985453,0.0004324883,0.000056831595,0.0003246243,0.000014537663,0.000025687164,0.010086313],"genre_scores_gemma":[0.99884236,0.000048146016,0.000047444988,0.00057336036,0.00007034954,0.000011112893,0.0000028505567,0.000010918446,0.00039345922],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985891,0.00015036916,0.00030135518,0.00022822537,0.00025806346,0.0004728829],"domain_scores_gemma":[0.99934465,0.00008187359,0.00010121676,0.00039480836,0.0000023022635,0.00007512674],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005734437,0.00017101628,0.00017385201,0.00011179352,0.00030157543,0.00012260664,0.00040005636,0.00010490883,0.000527046],"category_scores_gemma":[0.0001628255,0.00012430067,0.00007024421,0.000498721,0.00047359455,0.00020225323,0.000535557,0.00024994128,0.000042310432],"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":[0.000062177794,0.00003757876,0.9830628,0.000012164057,0.0000082277475,0.0000028237891,0.004052483,0.0063872966,0.0012653173,0.00009696414,0.0000739698,0.0049382215],"study_design_scores_gemma":[0.0003764738,0.00002059713,0.9699635,0.00001538438,0.000010617128,0.0000030789922,0.0021901976,0.0040703644,0.0013119911,0.0004159255,0.021484574,0.00013728275],"about_ca_topic_score_codex":0.11152536,"about_ca_topic_score_gemma":0.0013383116,"teacher_disagreement_score":0.110187046,"about_ca_system_score_codex":0.0007360229,"about_ca_system_score_gemma":0.00002901971,"threshold_uncertainty_score":0.89439106},"labels":[],"label_agreement":null},{"id":"W4410243490","doi":"10.1007/978-3-031-82857-7_11","title":"The Context of Organizational Carbon Footprinting in Sri Lanka: A Case Study for Stationery Industry","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Sri lanka; Footprinting; Context (archaeology); Business; Environmental science; Environmental planning; Geography; Chemistry; Archaeology; Gene","score_opus":0.011911970076998747,"score_gpt":0.25412711505982016,"score_spread":0.24221514498282143,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410243490","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.79851145,0.000021391543,0.00001492102,0.000099488214,0.000049419603,0.001251167,0.000010647987,0.000010404598,0.20003113],"genre_scores_gemma":[0.8890332,0.000004130049,0.00006857758,0.000059093993,0.000013151532,0.000029337547,0.0000064165074,0.000012173734,0.11077391],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99891096,0.000030445233,0.00039859393,0.0002637493,0.00022797001,0.00016827114],"domain_scores_gemma":[0.9992394,0.00030147794,0.00014564839,0.00025711715,0.00001600707,0.000040340998],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00042701646,0.0001714755,0.00020531032,0.000038936832,0.00011737397,0.000017427601,0.00014681177,0.0002085942,0.000330238],"category_scores_gemma":[0.00013423455,0.00013067962,0.00004750532,0.000056344965,0.00019129121,0.000040977957,0.0002543746,0.00030016867,0.0000018971928],"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":[0.000055186698,0.00030818066,0.9723132,0.00006385444,0.00008524786,0.00015041333,0.007651046,0.00020096455,0.000043614225,0.0083750915,0.00025283027,0.0105003705],"study_design_scores_gemma":[0.008555608,0.0018594096,0.2642416,0.00027832162,0.0005674112,0.00026463915,0.63937885,0.002092338,0.0012306444,0.04664942,0.03206613,0.0028155993],"about_ca_topic_score_codex":0.0022559639,"about_ca_topic_score_gemma":0.003646103,"teacher_disagreement_score":0.7080716,"about_ca_system_score_codex":0.00047026842,"about_ca_system_score_gemma":0.00005191298,"threshold_uncertainty_score":0.53289604},"labels":[],"label_agreement":null},{"id":"W4410353525","doi":"10.1016/j.resconrec.2025.108382","title":"Tracing the life cycle carbon footprint of staple crops in Belt and Road Initiative countries","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Key Research and Development Program of Zhejiang Province; National Natural Science Foundation of China","keywords":"Carbon footprint; Tracing; Life-cycle assessment; Environmental science; Footprint; Agricultural economics; Green belt; Life cycle inventory; Natural resource economics; Greenhouse gas; Geography; Economics; Computer science; Production (economics); Geology; Archaeology","score_opus":0.009508103517545658,"score_gpt":0.24118060749202358,"score_spread":0.23167250397447792,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410353525","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.994002,0.00041669325,0.000023958291,0.002006739,0.000016665925,0.00018638998,0.0000014290041,0.000008012885,0.0033381528],"genre_scores_gemma":[0.9992245,0.00013467392,0.000058191185,0.0004615779,0.0000047547824,0.000006694889,8.7608413e-7,0.0000033001857,0.000105460196],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99930066,0.00010056477,0.00022623152,0.00014850555,0.00010543607,0.00011857967],"domain_scores_gemma":[0.99959606,0.00019154976,0.00007570498,0.00009712207,0.0000049909195,0.000034554676],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00044947746,0.00007573481,0.00012222775,0.000033886474,0.0001316517,0.000026592861,0.000056243116,0.000046520083,0.000015694051],"category_scores_gemma":[0.00017093457,0.000056287583,0.000015965958,0.00014452086,0.00038683298,0.000053875094,0.0001150194,0.00010350413,2.3565624e-7],"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":[0.00004062522,0.000022511886,0.98300976,0.000037314912,0.000007799034,6.7185704e-7,0.006693431,0.00063375296,0.0008392451,0.00008141106,0.0000026286064,0.008630837],"study_design_scores_gemma":[0.00028229773,0.000021458054,0.98414534,0.000045916084,0.000009637057,5.4949135e-7,0.0067423084,0.0058201603,0.0013298955,0.00080636784,0.0007341367,0.000061937695],"about_ca_topic_score_codex":0.004188575,"about_ca_topic_score_gemma":0.001260745,"teacher_disagreement_score":0.0085689,"about_ca_system_score_codex":0.0000587294,"about_ca_system_score_gemma":0.000010919855,"threshold_uncertainty_score":0.63319},"labels":[],"label_agreement":null},{"id":"W4410456553","doi":"10.1016/j.enconman.2025.119848","title":"Screening biodegradable alternatives to mineral oil coolants","year":2025,"lang":"en","type":"article","venue":"Energy Conversion and Management","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Canada Excellence Research Chairs, Government of Canada; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; BP","keywords":"Coolant; Mineral oil; Waste management; Environmental science; Petroleum engineering; Engineering; Materials science; Metallurgy; Mechanical engineering","score_opus":0.005878109291207463,"score_gpt":0.22291504058780012,"score_spread":0.21703693129659266,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410456553","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7917868,0.000091377355,0.008292411,0.0018958251,0.00019206134,0.000109561974,0.000002741912,0.00005186372,0.19757737],"genre_scores_gemma":[0.8538557,0.00027803655,0.001739413,0.002944101,0.000006593533,0.000013880513,0.0000050767785,0.0000045927745,0.14115259],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99927807,0.000027534985,0.00009443572,0.00025974147,0.00014168324,0.00019855317],"domain_scores_gemma":[0.9997149,0.000010428531,0.000018127292,0.00015124714,0.0000015392972,0.000103725986],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010139109,0.00010442043,0.00008679247,0.000059432845,0.00013003509,0.00002784896,0.000121370154,0.000022163194,0.00061307516],"category_scores_gemma":[0.0000040989676,0.00009267672,0.00002616021,0.00014767432,0.00007668007,0.00011372756,0.0005617905,0.000029854584,0.000035018857],"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":[0.00025605445,0.00030449973,0.14248744,0.00012830959,0.0001402989,0.00008287725,0.00055494765,0.0019404764,0.003309129,0.011073642,0.101063974,0.73865837],"study_design_scores_gemma":[0.0007893187,0.000058749607,0.14302675,0.000033624707,0.000023011864,7.7045013e-7,0.0010978683,0.0020020548,0.0028729253,0.00023664342,0.8496429,0.00021538985],"about_ca_topic_score_codex":0.0008928247,"about_ca_topic_score_gemma":0.00005749926,"teacher_disagreement_score":0.7485789,"about_ca_system_score_codex":0.000107882144,"about_ca_system_score_gemma":0.000001347265,"threshold_uncertainty_score":0.67127436},"labels":[],"label_agreement":null},{"id":"W4410481715","doi":"10.1021/acs.est.4c09208","title":"Carbon Balance of China-Made Wood Products Assessed Using a Trade-Linked Approach","year":2025,"lang":"en","type":"article","venue":"Environmental Science & Technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ontario Forest Research Institute","funders":"Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences; Fundação para a Ciência e a Tecnologia; Australian Research Council; National Office for Philosophy and Social Sciences; “333 Project” of Jiangsu Province; Chinese Academy of Sciences; National Natural Science Foundation of China","keywords":"Balance (ability); China; Carbon fibers; Environmental science; Balance of trade; Natural resource economics; Pulp and paper industry; Business; Forestry; Economics; Geography; Engineering; Biology; International trade; Archaeology; Composite material; Materials science","score_opus":0.006647395333273415,"score_gpt":0.2340272390373851,"score_spread":0.22737984370411168,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410481715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98780847,0.0001552117,0.0004516672,0.00067042204,0.00012840613,0.00075513177,0.0000090085205,0.00008677341,0.009934941],"genre_scores_gemma":[0.99403137,0.000028563976,0.005417022,0.0000805449,0.000012076895,0.00003936051,0.000004080778,0.00001848415,0.00036846867],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99676824,0.000066966044,0.0004832687,0.001095441,0.00069949083,0.0008865733],"domain_scores_gemma":[0.9986217,0.000018630142,0.00021278962,0.001012994,0.0000023276004,0.00013152853],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00070243835,0.00034836598,0.00041631304,0.00039533997,0.0003690833,0.000027588349,0.0012338154,0.0002470281,0.0001828503],"category_scores_gemma":[0.00012804977,0.00032666704,0.00007831696,0.0027845623,0.006822637,0.00036503328,0.0011286907,0.00040836562,0.000013091364],"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":[0.000016026297,0.000617897,0.24789691,0.000021072108,0.00000870492,0.0000040818004,0.00020082273,0.001148164,0.7473737,0.00022884436,0.000010903791,0.0024728728],"study_design_scores_gemma":[0.00064193027,0.00018805504,0.65475893,0.00002122836,0.000042299882,0.000032913907,0.0013671996,0.00926165,0.33082208,0.001727817,0.0007050405,0.00043087584],"about_ca_topic_score_codex":0.00017672531,"about_ca_topic_score_gemma":0.0000032990088,"teacher_disagreement_score":0.41655162,"about_ca_system_score_codex":0.0017497003,"about_ca_system_score_gemma":0.00007714386,"threshold_uncertainty_score":0.9999185},"labels":[],"label_agreement":null},{"id":"W4410633561","doi":"10.1007/s11708-025-1008-2","title":"Life cycle assessment of hydrogen production pathways to support hydrogen decarbonization policies in a Canadian context","year":2025,"lang":"en","type":"article","venue":"Frontiers in Energy","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Natural Resources Canada; National Research Council Canada","funders":"","keywords":"Life-cycle assessment; Hydrogen production; Context (archaeology); Production (economics); Hydrogen; Environmental science; Waste management; Environmental economics; Engineering; Chemistry; Economics; Biology","score_opus":0.0051805681792881095,"score_gpt":0.23062778071434598,"score_spread":0.22544721253505787,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410633561","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9900676,0.000059839324,0.00056398,0.00073143345,0.00019226239,0.00024713945,0.000008228336,0.00001051412,0.008119014],"genre_scores_gemma":[0.99812526,0.00003055999,0.00053366,0.0008119459,0.000011307255,0.000052147916,0.000018541541,0.000010120808,0.00040645825],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99872917,0.000082939994,0.00031076334,0.0002969661,0.00018099745,0.00039914998],"domain_scores_gemma":[0.9994184,0.0000069777934,0.000049614173,0.0002645332,0.000005227495,0.0002552482],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031066488,0.00012623212,0.00020796075,0.00027620784,0.000048928985,0.000008625106,0.0001825858,0.00008115249,0.000102935235],"category_scores_gemma":[0.00013873116,0.00013773811,0.000036226444,0.0006664142,0.00011905299,0.00015748307,0.000102481456,0.000069563124,0.0000024546093],"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":[0.000011361625,0.00009947733,0.8844608,0.0000077686545,0.000008224708,0.0000039855877,0.0007619861,0.10265471,0.0010971529,0.00031177723,0.0013575408,0.009225193],"study_design_scores_gemma":[0.00043034172,0.00012024696,0.9496427,0.000025075726,0.000011511049,0.0000010303141,0.0025103416,0.015430168,0.01351898,0.0027886066,0.015256735,0.000264264],"about_ca_topic_score_codex":0.34366527,"about_ca_topic_score_gemma":0.38026908,"teacher_disagreement_score":0.08722454,"about_ca_system_score_codex":0.0024030798,"about_ca_system_score_gemma":0.00027205938,"threshold_uncertainty_score":0.6607053},"labels":[],"label_agreement":null},{"id":"W4410780013","doi":"10.1002/ep.14644","title":"Uncertainty in inventories for life cycle assessment: State‐of‐the‐art, challenges, and new technologies","year":2025,"lang":"en","type":"article","venue":"Environmental Progress & Sustainable Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":19,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Fundação para a Ciência e a Tecnologia; Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; U.S. Department of Energy","keywords":"State (computer science); Computer science; Algorithm","score_opus":0.007377113362082877,"score_gpt":0.24020559052640372,"score_spread":0.23282847716432084,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410780013","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9658438,0.018277358,0.0010010594,0.0060260617,0.00016905661,0.0020534273,0.00002335616,0.00015214115,0.0064537562],"genre_scores_gemma":[0.9898756,0.0011980161,0.00051246776,0.0001815647,0.000010828541,0.00028871433,0.0000135237415,0.0000264429,0.007892808],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9976921,0.00014757949,0.00045896697,0.0005994671,0.00033966277,0.00076222036],"domain_scores_gemma":[0.9990107,0.00012142802,0.00017098726,0.00056145963,0.0000040071154,0.00013145432],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006045347,0.00033112423,0.00036034884,0.000100613994,0.00023579758,0.000038710168,0.0004884719,0.0001491385,0.00009377118],"category_scores_gemma":[0.00015020366,0.00027833224,0.000109519315,0.00028274232,0.0014486007,0.000408172,0.0012378442,0.00020338105,0.0000017656985],"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":[0.0002593269,0.0011099952,0.34519184,0.00046293775,0.00009036525,0.000022758039,0.0011488752,0.01213196,0.000334531,0.019223291,0.0019341978,0.6180899],"study_design_scores_gemma":[0.002685083,0.0005250901,0.5647381,0.0000969993,0.0000582338,0.000003809712,0.01814448,0.0039355005,0.0026501364,0.17668882,0.22970709,0.0007667019],"about_ca_topic_score_codex":0.00058390276,"about_ca_topic_score_gemma":0.00029653864,"teacher_disagreement_score":0.6173232,"about_ca_system_score_codex":0.0012526262,"about_ca_system_score_gemma":0.00008442752,"threshold_uncertainty_score":0.99996686},"labels":[],"label_agreement":null},{"id":"W4410800712","doi":"10.1016/j.resconrec.2025.108324","title":"Quantifying material stocks in long-lived products: Challenges and improvements for informing sustainable resource use strategies","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Hudbay Minerals (Canada); University of Toronto","funders":"HORIZON EUROPE Framework Programme; Austrian Science Fund; European Commission","keywords":"Resource (disambiguation); Resource use; Natural resource economics; Business; Resource efficiency; Environmental resource management; Environmental economics; Environmental planning; Environmental science; Economics; Computer science; Ecology","score_opus":0.03487056152955786,"score_gpt":0.2837734520311454,"score_spread":0.24890289050158754,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410800712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966814,0.0004684328,0.00011662219,0.0010574043,0.00003345542,0.000829139,0.000002050507,0.000030039426,0.00078144186],"genre_scores_gemma":[0.9972294,0.00036046281,0.0005351944,0.0002500463,0.000016687889,0.000054357213,0.000011298039,0.000010274986,0.0015322936],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99883944,0.00006596401,0.0003115244,0.00034205845,0.00011248138,0.00032851912],"domain_scores_gemma":[0.9995231,0.00016411881,0.0000976991,0.00015208081,0.000012883301,0.000050140887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00068378885,0.00015031327,0.00017735788,0.00009025692,0.00026599463,0.00020620709,0.00007928283,0.000092604925,0.000011821394],"category_scores_gemma":[0.0002684611,0.0001389488,0.00001991459,0.00012782488,0.00019137307,0.0007472296,0.00021273948,0.000098261735,4.1822491e-7],"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":[0.00083262456,0.00016618267,0.8974033,0.0018504886,0.000040916162,0.000012505045,0.01750583,0.00089861796,0.0095265405,0.0016193904,0.00009975708,0.07004383],"study_design_scores_gemma":[0.0014263883,0.00011549983,0.9064513,0.00015152064,0.000020996395,0.0000025876814,0.05558112,0.0032328675,0.0016995677,0.0011209573,0.029925356,0.0002718462],"about_ca_topic_score_codex":0.0008764759,"about_ca_topic_score_gemma":0.0003716148,"teacher_disagreement_score":0.06977198,"about_ca_system_score_codex":0.00014779648,"about_ca_system_score_gemma":0.000017099237,"threshold_uncertainty_score":0.5666168},"labels":[],"label_agreement":null},{"id":"W4410813406","doi":"10.1016/j.resconrec.2025.108402","title":"Differential industrial structures and the impact on timber carbon stocks: A comparative study of China, the United States, and Canada","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Natural Science Foundation of China","keywords":"China; Carbon stock; Differential (mechanical device); Carbon fibers; Agricultural economics; Natural resource economics; Environmental science; Engineering; Business; Geography; Economics; Mathematics; Climate change; Archaeology; Geology","score_opus":0.01465500746686516,"score_gpt":0.2611844997947684,"score_spread":0.24652949232790322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410813406","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9983573,0.0000415994,0.0000030440326,0.0007392768,0.00002638799,0.0005269608,0.000005509754,0.0000041488797,0.00029575452],"genre_scores_gemma":[0.99966794,0.000026370459,0.0000019826055,0.00015657171,0.000009225377,0.000006664147,0.000005063504,0.0000027681165,0.00012340992],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991074,0.000301606,0.00017916592,0.0001488847,0.00015648533,0.00010642498],"domain_scores_gemma":[0.99938816,0.00035719012,0.000091446316,0.00011936863,0.0000044300423,0.000039434115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020395993,0.000114139744,0.00017064663,0.00002577564,0.00026153616,0.000041464045,0.00006837788,0.000036630212,0.000027272526],"category_scores_gemma":[0.00004697929,0.000054543572,0.000014222796,0.00012537879,0.0004325627,0.000027582611,0.00011290852,0.00017255275,2.7766479e-8],"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":[0.00059628714,0.00005648372,0.9813457,0.0000062248364,0.0000608607,6.149287e-7,0.0111748995,0.005768213,0.000052429004,0.00003014066,0.00018237464,0.00072576123],"study_design_scores_gemma":[0.0016987198,0.000115685485,0.96087605,0.000012270035,0.000034260753,8.845776e-7,0.014989514,0.021630298,0.000060031733,0.00025394317,0.00026532935,0.00006298872],"about_ca_topic_score_codex":0.73824745,"about_ca_topic_score_gemma":0.15437603,"teacher_disagreement_score":0.5838714,"about_ca_system_score_codex":0.00008004344,"about_ca_system_score_gemma":0.000015418109,"threshold_uncertainty_score":0.8610544},"labels":[],"label_agreement":null},{"id":"W4410972162","doi":"10.5194/egusphere-2025-2103","title":"Scenario set-up and the new CMIP6-based climate-related forcings provided within the third round of the Inter-Sectoral Model Intercomparison Project (ISIMIP3b, group I and II)","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":6,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Simon Fraser University; Dalhousie University; Memorial University of Newfoundland","funders":"Agencia Estatal de Investigación; HORIZON EUROPE Framework Programme; Deutsche Forschungsgemeinschaft; Belgian Federal Science Policy Office; Bundesministerium für Bildung und Forschung; Horizon 2020 Framework Programme; National Key Research and Development Program of China; Met Office; National Research Foundation; Natural Environment Research Council; Deutsches Klimarechenzentrum; Natural Sciences and Engineering Research Council of Canada; European Commission","keywords":"Coupled model intercomparison project; Climatology; Set (abstract data type); Group (periodic table); Environmental science; Climate change; Computer science; Climate model; Meteorology; Geography; Geology; Physics; Programming language","score_opus":0.018143981225948624,"score_gpt":0.26680218656919785,"score_spread":0.24865820534324923,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410972162","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98671085,0.00020341862,0.0022638964,0.0032707418,0.0002895151,0.0040262416,0.000040302646,0.000067643414,0.0031274145],"genre_scores_gemma":[0.9944714,0.000036991383,0.00063681725,0.0007463057,0.000014849067,0.000084614076,0.000015945421,0.000025688025,0.003967391],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99688435,0.00046568862,0.0008468913,0.0008218676,0.00049833156,0.00048285312],"domain_scores_gemma":[0.99790967,0.0002526208,0.0005265151,0.0011901313,0.000012024382,0.0001090217],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017094201,0.00056902075,0.0006515785,0.000053297394,0.00057569984,0.00022978736,0.0010907811,0.00034558278,0.000083112485],"category_scores_gemma":[0.00015202591,0.0002606663,0.0002841517,0.00023450538,0.0019818705,0.0002557136,0.006002086,0.0012800541,0.000001877659],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0045249,0.0006854718,0.7225039,0.0018219978,0.000585514,0.000004172461,0.12552837,0.11592679,0.0011110686,0.008945397,0.0126113705,0.0057510394],"study_design_scores_gemma":[0.0037518768,0.00031318967,0.03515002,0.00045019627,0.00041266307,0.000009793438,0.0070498213,0.9307109,0.0012123446,0.019915378,0.00031874562,0.0007050866],"about_ca_topic_score_codex":0.021628609,"about_ca_topic_score_gemma":0.008266518,"teacher_disagreement_score":0.8147841,"about_ca_system_score_codex":0.00058780395,"about_ca_system_score_gemma":0.00018811549,"threshold_uncertainty_score":0.99998456},"labels":[],"label_agreement":null},{"id":"W4410977460","doi":"10.1017/9781788217361.003","title":"How timber can decarbonize the built environment","year":2024,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Business; Environmental science","score_opus":0.007512923618551154,"score_gpt":0.21339742959235267,"score_spread":0.2058845059738015,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410977460","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00067028624,0.00082135445,0.00012317998,0.0053309225,0.00023192535,0.00068329467,0.000038888666,0.00019047766,0.9919097],"genre_scores_gemma":[0.02290721,0.00020606765,0.00040519208,0.00063564855,0.0001593554,0.00007033139,0.000013856457,0.0004645978,0.9751377],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980652,0.00007279725,0.00015267917,0.00065234944,0.0005569207,0.0005000888],"domain_scores_gemma":[0.99871564,0.000020659692,0.00007600945,0.0010079812,4.3304257e-7,0.0001793024],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00018417563,0.00043895404,0.00025172994,0.000034892684,0.00006389259,0.0001502758,0.00050712045,0.00026088807,0.08428231],"category_scores_gemma":[0.000013811246,0.0002591669,0.00017753965,0.00010461987,0.00070168957,0.00004876589,0.00076188514,0.0003679813,0.008819675],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000022004313,0.00005836731,0.0023044092,0.000027576809,0.000049819875,0.000039270006,0.00015185266,0.000017089727,0.00004781667,0.00008939023,0.9951085,0.0021037278],"study_design_scores_gemma":[0.00008619951,0.000031198237,0.0017469039,0.000013978563,0.000067777655,0.000012173222,0.0002626004,0.000038007533,0.00007692967,0.0009832773,0.9963213,0.00035965056],"about_ca_topic_score_codex":0.0044941194,"about_ca_topic_score_gemma":0.0024148442,"teacher_disagreement_score":0.07546263,"about_ca_system_score_codex":0.0006673547,"about_ca_system_score_gemma":0.000009124614,"threshold_uncertainty_score":0.99998605},"labels":[],"label_agreement":null},{"id":"W4410988662","doi":"10.1038/s41598-025-04236-5","title":"A machine learning approach to carbon emissions prediction of the top eleven emitters by 2030 and their prospects for meeting Paris agreement targets","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":26,"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":"Computer science; Carbon fibers; Environmental science; Algorithm","score_opus":0.00572357425126028,"score_gpt":0.21097991850996015,"score_spread":0.20525634425869987,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410988662","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99011844,0.0001731666,0.00062869757,0.00029301553,0.00046028369,0.0012387554,0.000011875941,0.000018592053,0.0070571965],"genre_scores_gemma":[0.9920554,0.0000027741555,0.00041326456,0.000035954046,0.000006309602,0.00007407279,0.000022696788,0.000006363764,0.007383177],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985458,0.000056570534,0.0003249695,0.0005367888,0.0002737858,0.00026207976],"domain_scores_gemma":[0.9992834,0.000026204045,0.00016040937,0.0004230989,0.000010615513,0.000096294185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013175103,0.00012494616,0.00014172243,0.00003340049,0.0004575895,0.000052447303,0.00011902423,0.000045343117,0.000024282386],"category_scores_gemma":[0.00022244386,0.00008161303,0.00006396719,0.00030849417,0.00025067426,0.00007799312,0.0003318135,0.00010154551,2.9743703e-7],"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":[0.000010702919,0.00014631635,0.868697,0.000047588994,0.000013679396,5.318806e-7,0.0019015725,0.0016211751,0.12073036,0.0000061335727,0.0051510953,0.0016738491],"study_design_scores_gemma":[0.000703067,0.00020109818,0.5251034,0.00017498738,0.00010202538,0.00001846913,0.0039546946,0.026455266,0.30075184,0.005912052,0.13609646,0.0005266469],"about_ca_topic_score_codex":0.00026134553,"about_ca_topic_score_gemma":0.000011640451,"teacher_disagreement_score":0.3435936,"about_ca_system_score_codex":0.0002228283,"about_ca_system_score_gemma":0.000019676143,"threshold_uncertainty_score":0.35194546},"labels":[],"label_agreement":null},{"id":"W4411183416","doi":"10.1007/s44415-025-00013-4","title":"Promoting the carbon market in agroforestry systems: the role of global, national and sectoral initiatives","year":2025,"lang":"en","type":"article","venue":"Discover Forests","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ottawa Public Health","funders":"","keywords":"Carbon market; Business; Agroforestry; Natural resource economics; Economics; Climate change; Environmental science; Ecology","score_opus":0.003789243568771964,"score_gpt":0.24263604154113974,"score_spread":0.23884679797236777,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411183416","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9556564,0.00025895183,0.0000022233742,0.000214092,0.000029631949,0.00029789456,0.000016276881,0.000003838043,0.04352069],"genre_scores_gemma":[0.9997921,0.0000046572313,0.0000029906892,0.00004579844,0.000007868532,0.000024855104,0.0000019590336,0.0000026855255,0.000117074516],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99921453,0.00011302028,0.0001505114,0.00013566436,0.00021297352,0.00017327245],"domain_scores_gemma":[0.99971145,0.00008497623,0.00005335678,0.00012429085,0.00000319779,0.000022731094],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00041143715,0.00008196826,0.00008335146,0.0000084550775,0.00006930143,0.000029967492,0.00014671174,0.000032516935,0.000039725335],"category_scores_gemma":[0.000106271495,0.000046016386,0.000023763228,0.00017459426,0.0003626172,0.00017815134,0.00020788351,0.000077471734,0.0000010532807],"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":[0.000016741697,0.000041671206,0.9965756,0.000018879096,0.000006996748,6.8654464e-7,0.0007028178,0.00046643786,0.000047472706,0.0017984881,0.00005247128,0.0002717159],"study_design_scores_gemma":[0.00012874218,0.000016330936,0.9812977,0.000024876676,0.0000047302124,0.0000014170502,0.0017389269,0.008088628,0.000096790594,0.0084218085,0.00013424676,0.000045851415],"about_ca_topic_score_codex":0.0020247197,"about_ca_topic_score_gemma":0.0019497516,"teacher_disagreement_score":0.04413571,"about_ca_system_score_codex":0.00030117412,"about_ca_system_score_gemma":0.000030131556,"threshold_uncertainty_score":0.3060784},"labels":[],"label_agreement":null},{"id":"W4411211486","doi":"10.1007/978-3-031-92874-1_20","title":"The Materials Bio-Based Constructions: A Review of the Methods of LCA","year":2025,"lang":"en","type":"review","venue":"Rilem bookseries","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Biochemical engineering; Engineering; Materials science","score_opus":0.017149324534916726,"score_gpt":0.3650687031592267,"score_spread":0.34791937862430994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411211486","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000013877477,0.9939465,0.000052720585,0.00011574638,0.00029304155,0.0014689714,0.00016462558,0.000011942652,0.0039325957],"genre_scores_gemma":[0.000007588055,0.9960594,0.0019683535,0.000100530866,0.000012452095,0.00016646965,0.000010627172,0.000014523103,0.0016600306],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99715483,0.0011549717,0.000941138,0.00025470788,0.00027045424,0.00022391859],"domain_scores_gemma":[0.997539,0.0006377708,0.0007436122,0.0010286415,0.000012170216,0.000038809387],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014057742,0.0002953019,0.0011784629,0.000022322645,0.00023142782,0.000019576368,0.0006802819,0.00012705101,0.0012296335],"category_scores_gemma":[0.0006373355,0.00014519267,0.00053864816,0.0003031643,0.0021935138,0.00006602385,0.0004955895,0.00014831928,0.000010293016],"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":[0.0000083557015,0.00003982236,0.00011881076,0.12814963,0.00007836978,4.2573353e-7,0.000035279667,0.0000010697771,0.000056993318,0.000856817,0.0016193716,0.86903507],"study_design_scores_gemma":[0.00003995256,0.000025019954,0.00008301372,0.027735319,0.0004244834,0.0000057214106,0.000046903708,1.7259066e-7,0.0011917119,0.00050613703,0.96980596,0.00013561347],"about_ca_topic_score_codex":0.00008389024,"about_ca_topic_score_gemma":0.000012845698,"teacher_disagreement_score":0.96818656,"about_ca_system_score_codex":0.00024824438,"about_ca_system_score_gemma":0.00020601762,"threshold_uncertainty_score":0.9996834},"labels":[],"label_agreement":null},{"id":"W4411272935","doi":"10.1016/j.rser.2025.115924","title":"More rationality and inclusivity are imperative in reference transition scenarios based on IAMs and shared socioeconomic pathways - recommendations for prospective LCA","year":2025,"lang":"en","type":"article","venue":"Renewable and Sustainable Energy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"Haute école Spécialisée de Suisse Occidentale; Environment and Climate Change Canada; Universidad de Valladolid; Vrije Universiteit Brussel; Polytechnique Montréal; Concordia University; HEC Montréal; Government of Canada; École Polytechnique Fédérale de Lausanne; Université du Québec à Montréal","keywords":"Rationality; Socioeconomic status; Transition (genetics); Sociology; Epistemology; Biology; Philosophy; Demography; Genetics","score_opus":0.014702083292465452,"score_gpt":0.26951090653980914,"score_spread":0.25480882324734366,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411272935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97520804,0.0029906835,0.0063214735,0.008436455,0.000035829707,0.003041201,0.00013395312,0.000036379217,0.0037959828],"genre_scores_gemma":[0.99306655,0.0025182304,0.00058990467,0.0013850254,0.000011747233,0.0006308352,0.000103116894,0.000009803302,0.0016847822],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99854636,0.00019433782,0.00033171344,0.00051867915,0.00007454757,0.0003343815],"domain_scores_gemma":[0.99943984,0.00014336423,0.000108314256,0.00019558638,0.00001982174,0.00009309539],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00083365623,0.0002142689,0.00037490204,0.0000680318,0.00053014565,0.00007783456,0.0000699018,0.00011011023,0.000113385235],"category_scores_gemma":[0.00013505136,0.0001913858,0.000045370438,0.000150192,0.0002096105,0.00046376468,0.00013326698,0.00010790305,6.945416e-7],"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":[0.0023742947,0.0035324325,0.6895874,0.0063813133,0.00016632397,0.000058449306,0.020919373,0.05914833,0.0063255765,0.049846876,0.015697407,0.14596224],"study_design_scores_gemma":[0.008546032,0.0010898268,0.49034983,0.00082884566,0.00017363319,0.000008847923,0.035763863,0.09738897,0.003309073,0.13197693,0.22854042,0.0020237092],"about_ca_topic_score_codex":0.0026326263,"about_ca_topic_score_gemma":0.0016422331,"teacher_disagreement_score":0.21284302,"about_ca_system_score_codex":0.0008844841,"about_ca_system_score_gemma":0.0000639205,"threshold_uncertainty_score":0.7804486},"labels":[],"label_agreement":null},{"id":"W4411333185","doi":"10.1007/s11367-025-02448-5","title":"How differentiating design strategies across building components lead to maximum reduction of adverse environmental impacts","year":2025,"lang":"en","type":"article","venue":"The International Journal of Life Cycle Assessment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"Aalborg Universitet","keywords":"Environmental impact assessment; Life-cycle assessment; Environmental science; Environmental resource management; Building design; Environmental design; Lead (geology); Computer science; Risk analysis (engineering); Environmental economics; Civil engineering; Engineering; Business; Ecology; Production (economics)","score_opus":0.01892682119279579,"score_gpt":0.320239225043098,"score_spread":0.3013124038503022,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411333185","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9659333,0.00002918101,0.030593181,0.002458452,0.0004817519,0.0002303285,0.000011779881,0.0000063430116,0.00025566274],"genre_scores_gemma":[0.99479353,0.000029609639,0.0048253713,0.00016929593,0.000072940034,0.0000053359868,0.0000029751623,0.00000978963,0.00009116133],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9980501,0.00015962438,0.0005083163,0.0001666668,0.0008648029,0.00025048692],"domain_scores_gemma":[0.9990809,0.00010547975,0.00048019207,0.00019184501,0.000021723645,0.00011986971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008199392,0.00016454511,0.00022266294,0.00006798768,0.00014258287,0.00010214078,0.00069662294,0.00004318039,0.00013899966],"category_scores_gemma":[0.00007704709,0.000121709105,0.0001437053,0.00010212252,0.00020238975,0.0006917578,0.00045576837,0.0002218519,0.000004406218],"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":[0.0004631381,0.00072595256,0.1927543,0.000018035358,0.00037155315,0.000016543416,0.0016785294,0.085367404,0.7066792,0.00017212323,0.00030595425,0.011447244],"study_design_scores_gemma":[0.0008526159,0.00022489115,0.95107776,0.000081343605,0.00004386074,0.000031298554,0.014717333,0.0024754182,0.026605994,0.0035629135,0.00017072263,0.00015586021],"about_ca_topic_score_codex":0.00010416236,"about_ca_topic_score_gemma":0.0000060319403,"teacher_disagreement_score":0.75832343,"about_ca_system_score_codex":0.0011842607,"about_ca_system_score_gemma":0.000058057947,"threshold_uncertainty_score":0.49631533},"labels":[],"label_agreement":null},{"id":"W4411357712","doi":"10.20944/preprints202506.1066.v1","title":"An Analysis of Compatibility Between Popular Carbon Footprint Calculators and the Canadian National Inventory Report","year":2025,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Compatibility (geochemistry); Carbon footprint; Environmental science; Footprint; Engineering; Geography; Chemical engineering; Greenhouse gas; Geology; Archaeology; Oceanography","score_opus":0.06338426254787535,"score_gpt":0.34470504248518424,"score_spread":0.28132077993730886,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411357712","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988592,0.000026355081,0.000011706077,0.00028813424,0.0000849768,0.00086168374,0.00009012939,0.000026755735,0.010018217],"genre_scores_gemma":[0.9993515,0.000007929732,0.000053827378,0.000059868835,0.000023248183,0.0000602395,0.00018472056,0.00001103371,0.00024765843],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9963324,0.0005700692,0.0008414297,0.0010750971,0.00082470867,0.00035626354],"domain_scores_gemma":[0.99730396,0.000077661396,0.00042137498,0.0017595659,0.000047868954,0.00038957104],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0038106996,0.00032543935,0.0007563323,0.00023985232,0.00021949889,0.000023912531,0.0007072169,0.0003285906,0.00035363782],"category_scores_gemma":[0.0005108987,0.0002777717,0.00033581452,0.00042641154,0.0012901807,0.000053633583,0.0019052194,0.0006491982,0.000005690913],"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":[0.000021405654,0.0000793952,0.98330826,0.000046423833,0.00046540104,0.000006732285,0.001167265,0.014527951,0.00004998001,0.00019301593,9.29401e-7,0.00013327417],"study_design_scores_gemma":[0.00021849686,0.0000074491372,0.988781,0.000012502884,0.00067809597,0.0000011860759,0.00015823348,0.0053245123,0.00053807785,0.0038801928,0.00016391132,0.00023636503],"about_ca_topic_score_codex":0.6924801,"about_ca_topic_score_gemma":0.32737994,"teacher_disagreement_score":0.36510012,"about_ca_system_score_codex":0.0027802368,"about_ca_system_score_gemma":0.00030605518,"threshold_uncertainty_score":0.99996746},"labels":[],"label_agreement":null},{"id":"W4411485715","doi":"10.3390/en18133247","title":"Exergy-Based Sustainability Assessment of Gold Mining in Colombia: A Comparative Analysis of Open-Pit and Alluvial Mining","year":2025,"lang":"en","type":"article","venue":"Energies","topic":"Environmental Impact and Sustainability","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":"Western University","funders":"Universidad Nacional de Colombia; Technische Universiteit Delft; Departamento Administrativo de Ciencia, Tecnología e Innovación (COLCIENCIAS)","keywords":"Exergy; Exergy efficiency; Sustainability; Environmental science; Environmental Sustainability Index; Renewable energy; Environmental engineering; Energy analysis; Process engineering; Engineering; Mathematics; Energy (signal processing)","score_opus":0.014533848013179206,"score_gpt":0.34199099307713193,"score_spread":0.32745714506395274,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411485715","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9923345,0.000042744272,0.00011037833,0.00013254567,0.000017597482,0.0002861581,0.00001038821,0.0000070016854,0.0070587294],"genre_scores_gemma":[0.99619716,0.0000057121565,0.0032998044,0.000044670727,0.0000012807052,0.000039004146,0.00001002281,0.0000032255482,0.00039911343],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862397,0.00019422811,0.00041903323,0.00033429466,0.00020561296,0.00022287793],"domain_scores_gemma":[0.99918693,0.0002989827,0.00015132381,0.00029923592,0.000016028524,0.00004747386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006436325,0.00014397448,0.0005481508,0.00018284272,0.00005191004,0.000028840219,0.0002880026,0.00005922089,0.00020849063],"category_scores_gemma":[0.00009814489,0.00013807559,0.00007917532,0.0010003638,0.00061334705,0.00023872776,0.000598528,0.00007142571,1.2132473e-7],"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":[0.000071569826,0.0002968159,0.824133,0.000043861244,0.00009208765,0.0000025983736,0.0017663464,0.17065862,0.0015957768,0.0003428027,0.000116490985,0.00088006206],"study_design_scores_gemma":[0.0006022879,0.00011979082,0.9598715,0.000018071049,0.00013416406,6.0885036e-8,0.013348524,0.022283215,0.0031545423,0.00019655128,0.00015784928,0.00011348944],"about_ca_topic_score_codex":0.002936227,"about_ca_topic_score_gemma":0.0029332915,"teacher_disagreement_score":0.14837539,"about_ca_system_score_codex":0.0005512018,"about_ca_system_score_gemma":0.0000847905,"threshold_uncertainty_score":0.56305593},"labels":[],"label_agreement":null},{"id":"W4411702584","doi":"10.1111/jiec.70056","title":"SSELF: A Specific SEmiautomated Lifecycle Footprinting framework to go beyond generic data in LCA","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","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":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Hydro-Québec; Total; ArcelorMittal; Polytechnique Montréal","keywords":"Supply chain; Footprint; Upstream (networking); Computer science; Product (mathematics); Industrial ecology; Life-cycle assessment; Footprinting; Carbon footprint; Business; Production (economics); Environmental economics; Sustainability; Greenhouse gas; Marketing; Economics","score_opus":0.03305112155522476,"score_gpt":0.29816390008346205,"score_spread":0.2651127785282373,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411702584","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99313384,0.000041840038,0.00034070172,0.0026875685,0.00088559324,0.00028677526,0.0000043772343,0.000011586688,0.0026076853],"genre_scores_gemma":[0.99479157,0.000029395647,0.0039027343,0.0007769033,0.00023870412,0.0000038773383,0.0000025162788,0.000010902748,0.00024337768],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998021,0.00023980561,0.0007615709,0.0003065528,0.00023630296,0.0004347646],"domain_scores_gemma":[0.99873245,0.00030352297,0.00027414758,0.0004991464,0.000010939281,0.00017979827],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015629823,0.00015765299,0.0003916805,0.00018007698,0.00008741299,0.000041146206,0.0008440917,0.00034591052,0.0010464584],"category_scores_gemma":[0.0013608668,0.00014481446,0.00006412634,0.0007609337,0.00013701817,0.00027286282,0.0009978759,0.0007865864,0.00008543011],"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":[0.00019156263,0.00030514714,0.9512478,0.000004244883,0.000028183484,0.0001012053,0.00022218602,0.0032054435,0.0027199364,0.00006609869,0.017906053,0.024002153],"study_design_scores_gemma":[0.0015226555,0.00041999674,0.9359191,0.000057208137,0.000028897577,0.000044455188,0.00063482136,0.000305402,0.0009417093,0.002741112,0.05716041,0.00022420379],"about_ca_topic_score_codex":0.00007523701,"about_ca_topic_score_gemma":0.000110831286,"teacher_disagreement_score":0.03925436,"about_ca_system_score_codex":0.0010912486,"about_ca_system_score_gemma":0.00010613862,"threshold_uncertainty_score":0.9998667},"labels":[],"label_agreement":null},{"id":"W4411815476","doi":"10.69997/sct.167624","title":"Resource and Pathways Analysis for Decarbonizing the Pulp and Paper Sector in Quebec","year":2025,"lang":"en","type":"article","venue":"Systems and Control Transactions","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Hydro-Québec","funders":"","keywords":"Business; Resource (disambiguation); Natural resource economics; Computer science; Industrial organization; Environmental economics; Economics","score_opus":0.006552938881205025,"score_gpt":0.20283664760138073,"score_spread":0.1962837087201757,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411815476","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9604999,0.0012009393,0.0357872,0.0009515095,0.000029910365,0.0006840341,0.000026207294,0.00001216536,0.00080815336],"genre_scores_gemma":[0.99865454,0.000033041142,0.000016852287,0.00013724157,0.000006538039,0.00012254882,9.2732864e-7,0.000003804908,0.0010244857],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99935395,0.000075944045,0.00015389422,0.00019887826,0.00006236451,0.00015497497],"domain_scores_gemma":[0.99964863,0.00015429755,0.000023430724,0.0001215768,0.0000021509293,0.00004988879],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002945165,0.00008766882,0.0001699528,0.00004107732,0.00023513562,0.00007070671,0.000039011054,0.000048373833,0.000024646124],"category_scores_gemma":[0.000008692172,0.000061398845,0.000046367833,0.00017705333,0.00014840774,0.00012124946,0.000007156968,0.00007134925,2.3228216e-7],"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":[0.0002044145,0.00015268022,0.9316184,0.00018833269,0.0005710968,0.0000039163774,0.0058599426,0.009505003,0.011606294,0.0015869525,0.0000413505,0.03866161],"study_design_scores_gemma":[0.0012711948,0.000041103754,0.95911276,0.000015954643,0.00036220058,0.0000026545777,0.007523043,0.021989888,0.000033137352,0.00033106768,0.009177933,0.00013907676],"about_ca_topic_score_codex":0.02194974,"about_ca_topic_score_gemma":0.039122827,"teacher_disagreement_score":0.038522534,"about_ca_system_score_codex":0.00008871691,"about_ca_system_score_gemma":0.000006196846,"threshold_uncertainty_score":0.9845632},"labels":[],"label_agreement":null},{"id":"W4411816279","doi":"10.69997/sct.171756","title":"Integrated LCA and Eco-design Process for Hydrogen Technologies: Case Study of the Solid Oxide Electrolyser","year":2025,"lang":"en","type":"article","venue":"Systems and Control Transactions","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"European Commission","keywords":"Process (computing); Process engineering; Oxide; Hydrogen; Computer science; Materials science; Engineering; Chemistry; Metallurgy; Operating system","score_opus":0.009464310032072381,"score_gpt":0.25583093008439833,"score_spread":0.24636662005232596,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411816279","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9414256,0.00017898878,0.056014568,0.00014974353,0.000025932644,0.0020983422,0.000015204836,0.000033651937,0.00005794484],"genre_scores_gemma":[0.99922156,0.000008512055,0.000016026352,0.000017185657,0.0000015939016,0.000426925,1.8542535e-7,0.0000056581544,0.00030235286],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9992591,0.000080500504,0.00021149257,0.00020356574,0.00007894617,0.00016637126],"domain_scores_gemma":[0.9996461,0.00007789003,0.000053660522,0.00018553267,0.000009262905,0.00002753263],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00023001981,0.000112799695,0.00019643303,0.000028999475,0.00029018734,0.000021113461,0.00008917774,0.00006692288,0.0000073587844],"category_scores_gemma":[0.000017368437,0.000072797164,0.000039274237,0.00016976416,0.0001682939,0.00009749309,0.00000824437,0.00009956951,2.465959e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.001884767,0.0069773863,0.38590544,0.0015523793,0.0026062336,0.00014232167,0.021148346,0.18304442,0.33157474,0.00028829256,0.0001842473,0.06469144],"study_design_scores_gemma":[0.022418682,0.004425339,0.040054664,0.00022721663,0.0024777353,0.0011729297,0.61615545,0.24108985,0.06412217,0.0046389415,0.0018077878,0.0014092369],"about_ca_topic_score_codex":0.0016468698,"about_ca_topic_score_gemma":0.0006474764,"teacher_disagreement_score":0.5950071,"about_ca_system_score_codex":0.00008157657,"about_ca_system_score_gemma":0.00001671306,"threshold_uncertainty_score":0.29685822},"labels":[],"label_agreement":null},{"id":"W4411869234","doi":"10.1016/j.ecolmodel.2025.111236","title":"How does shifting wood products between uses affect their carbon dynamics and climatic impacts? Leveraging MoSiR, a new carbon accounting tool","year":2025,"lang":"en","type":"article","venue":"Ecological Modelling","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Carbon accounting; Carbon fibers; Environmental science; Affect (linguistics); Climate change; Ecology; Carbon cycle; Accounting; Computer science; Ecosystem; Economics; Biology","score_opus":0.017581145472277526,"score_gpt":0.22996466737041513,"score_spread":0.2123835218981376,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411869234","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99247825,0.0001297311,0.0038564547,0.0014644829,0.00009168467,0.0006731644,0.0000035831758,0.000111110145,0.001191551],"genre_scores_gemma":[0.996935,0.000044719643,0.0024243793,0.00012871379,0.00008394033,0.000018094152,0.0000065742415,0.000021403665,0.00033719328],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978204,0.00014748663,0.0003436727,0.0007029301,0.00024008883,0.00074543006],"domain_scores_gemma":[0.99894786,0.00042155624,0.00014436405,0.0003324262,0.000007759637,0.00014602747],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007881397,0.00035510247,0.00043933743,0.000057874462,0.000308229,0.00027508597,0.0002558062,0.00018711352,0.000024448624],"category_scores_gemma":[0.0004237386,0.00024404642,0.00007717186,0.00031808746,0.00020174835,0.00039867265,0.0005749894,0.00041498168,0.0000015151628],"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":[0.000016301556,0.00008212326,0.9700549,0.00013003711,0.000030518673,0.0000067210663,0.00084991014,0.021965852,0.0010988804,0.00005977266,0.0000036977067,0.0057012374],"study_design_scores_gemma":[0.00041424314,0.00012386557,0.3774971,0.00009263506,0.000082710125,0.0000025187667,0.0014495328,0.60820657,0.0021820234,0.009442635,0.000022686458,0.00048345927],"about_ca_topic_score_codex":0.00056185503,"about_ca_topic_score_gemma":0.000121582925,"teacher_disagreement_score":0.59255785,"about_ca_system_score_codex":0.0009022313,"about_ca_system_score_gemma":0.00003080853,"threshold_uncertainty_score":0.99519235},"labels":[],"label_agreement":null},{"id":"W4411987460","doi":"10.1016/j.jclepro.2025.146101","title":"Decoding carbon emissions in China's marine Fisheries: Trends, drivers, and pathways to sustainability","year":2025,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Science and Technology Innovation Plan Of Shanghai Science and Technology Commission; National Key Research and Development Program of China; National Natural Science Foundation of China; Shanghai Ocean University; Canadian Engineering Memorial Foundation; State Key Laboratory of Resources and Environmental Information System; Shanghai Lingjun Program","keywords":"Sustainability; China; Fishery; Environmental science; Carbon fibers; Greenhouse gas; Business; Natural resource economics; Ecology; Geography; Economics; Computer science; Biology","score_opus":0.005241844503559996,"score_gpt":0.23519797357575295,"score_spread":0.22995612907219296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4411987460","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889619,0.000018036237,0.00003392492,0.006773608,0.00018373434,0.0001486088,4.3496962e-7,0.000007565377,0.0038722372],"genre_scores_gemma":[0.9975583,0.000038874434,0.0004252855,0.000056888082,0.00005115673,0.0000027217827,6.347795e-7,0.0000055546047,0.0018605886],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9989458,0.000089860376,0.00034125778,0.00022747421,0.00019177182,0.00020386181],"domain_scores_gemma":[0.9995493,0.000018708262,0.00010732447,0.0001876521,0.000016604497,0.00012035628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072616735,0.000111921334,0.00018256016,0.00015460303,0.00008872763,0.000023703884,0.00010636006,0.000051792154,0.00020403093],"category_scores_gemma":[0.0005408582,0.00009535145,0.000045097568,0.00037257493,0.00012402779,0.00032966892,0.00021507427,0.00022636089,5.972182e-7],"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":[0.00012436684,0.0001472966,0.8698681,0.000026752641,0.000005952828,0.000012974807,0.0017654194,0.0027800836,0.0022905592,0.000010024028,0.0009823237,0.12198613],"study_design_scores_gemma":[0.0002583629,0.00013969252,0.9862662,0.000019338806,0.000013948593,0.00002234823,0.0028482988,0.00012577113,0.0018348484,0.0025713965,0.005806085,0.0000936884],"about_ca_topic_score_codex":0.00036466954,"about_ca_topic_score_gemma":0.00021479002,"teacher_disagreement_score":0.121892445,"about_ca_system_score_codex":0.0011102943,"about_ca_system_score_gemma":0.000028562106,"threshold_uncertainty_score":0.38883194},"labels":[],"label_agreement":null},{"id":"W4412217382","doi":"","title":"Navigating Consumption Dynamics through Consequential Life Cycle Assessment of Fish Products","year":2024,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Institute on Governance","funders":"","keywords":"Fish <Actinopterygii>; Consumption (sociology); Dynamics (music); Life-cycle assessment; Fish consumption; Environmental science; Fishery; Biology; Economics; Psychology; Production (economics); Art; Microeconomics; Aesthetics","score_opus":0.009690517914616729,"score_gpt":0.2741524577840549,"score_spread":0.26446193986943817,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412217382","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98892766,0.000044259974,0.00070644636,0.00052710023,0.00022312661,0.00034879777,0.00007851503,0.00012549842,0.009018598],"genre_scores_gemma":[0.99706167,0.0000406842,0.0017239861,0.00015622268,0.0000353104,0.0000030214633,0.0001690774,0.000027868124,0.00078215206],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99826497,0.000050140672,0.00034346746,0.000504864,0.00045331384,0.00038321826],"domain_scores_gemma":[0.9993161,0.00005360652,0.00015588615,0.00030617142,0.00001666567,0.00015158101],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002776049,0.00023086008,0.00024395077,0.000030279383,0.00018462502,0.000049971404,0.00023214561,0.00011519665,0.0027836903],"category_scores_gemma":[0.00004974857,0.00023885678,0.00012789121,0.00039486468,0.0006459682,0.00095895014,0.0002721426,0.0003684847,0.00008472138],"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":[0.0000921148,0.0004914475,0.9555736,0.0006749792,0.00022271603,0.0004960397,0.005360346,0.0074028107,0.008365367,0.010446608,0.004333085,0.0065408843],"study_design_scores_gemma":[0.0024010364,0.000906874,0.8099508,0.00074665307,0.00062777865,0.00014905217,0.016295347,0.12109363,0.010158651,0.0032300355,0.03224888,0.0021912113],"about_ca_topic_score_codex":0.0011379679,"about_ca_topic_score_gemma":0.00014257575,"teacher_disagreement_score":0.14562276,"about_ca_system_score_codex":0.00092531793,"about_ca_system_score_gemma":0.000085522785,"threshold_uncertainty_score":0.9981279},"labels":[],"label_agreement":null},{"id":"W4412448453","doi":"10.1016/j.spc.2025.07.006","title":"Unveiling hidden environmental costs and optimizing sustainable BATs screening in finished fabrics production: An LCA-based approach","year":2025,"lang":"en","type":"article","venue":"Sustainable Production and Consumption","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Intertek (Canada)","funders":"Fundamental Research Funds for the Central Universities; National University's Basic Research Foundation of China","keywords":"Production (economics); Sustainable production; Environmental economics; Engineering; Natural resource economics; Manufacturing engineering; Business; Biochemical engineering; Economics; Microeconomics","score_opus":0.01077897034047066,"score_gpt":0.24314801713299405,"score_spread":0.2323690467925234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412448453","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.992378,0.00078552857,0.0030744385,0.00072773657,0.00010505207,0.001442193,0.0000016738277,0.000097925426,0.0013874549],"genre_scores_gemma":[0.98530346,0.0002759038,0.0044460157,0.00013604712,0.000047458765,0.00014218301,0.00004291926,0.000024654477,0.009581375],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99718124,0.00026066691,0.00039808516,0.0010974256,0.00030466242,0.0007579459],"domain_scores_gemma":[0.99920774,0.000031966025,0.000119331125,0.00044151302,0.000022243841,0.00017718755],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013072462,0.00032488065,0.00027734696,0.0002646146,0.00075765385,0.00018660088,0.00013564354,0.00016181933,0.0001933059],"category_scores_gemma":[0.0002793267,0.00035200716,0.000041151223,0.00049052347,0.0006185606,0.0015994464,0.00031447667,0.00034593808,0.0000069923767],"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":[0.0005747214,0.0010422232,0.91925555,0.0009434236,0.000031411964,0.00005036372,0.002072762,0.022148212,0.0033270023,0.0011921123,0.00043508087,0.048927136],"study_design_scores_gemma":[0.002611306,0.00034691015,0.8321118,0.00013107165,0.00013701677,0.00008606034,0.11948885,0.026617745,0.007948284,0.0022819394,0.0068831923,0.0013558349],"about_ca_topic_score_codex":0.00053813803,"about_ca_topic_score_gemma":0.000037440557,"teacher_disagreement_score":0.11741609,"about_ca_system_score_codex":0.0011957139,"about_ca_system_score_gemma":0.000048455488,"threshold_uncertainty_score":0.9998932},"labels":[],"label_agreement":null},{"id":"W4412540402","doi":"10.3390/su17146629","title":"An Analysis of the Compatibility Between Popular Carbon Footprint Calculators and the Canadian National Inventory Report","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"NOSM University; Queen's University","funders":"","keywords":"Compatibility (geochemistry); Carbon footprint; Environmental science; Environmental economics; Engineering; Economics; Greenhouse gas; Geology; Oceanography; Chemical engineering","score_opus":0.006899300951607431,"score_gpt":0.2743118482516229,"score_spread":0.26741254730001546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412540402","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9945078,0.000020726982,0.000019147192,0.002138454,0.00004144384,0.00087250624,0.000014762368,0.000012732048,0.0023724572],"genre_scores_gemma":[0.999645,5.12878e-7,0.000016495798,0.00010570343,0.000007768533,0.000026999853,0.000013887723,0.000004869325,0.00017875558],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99741745,0.0006977805,0.0005100527,0.00048955705,0.0005479501,0.00033719873],"domain_scores_gemma":[0.99831426,0.000107854,0.00015230999,0.0011221458,0.000108937325,0.00019446357],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037353768,0.0001680292,0.00036373248,0.00010237176,0.00045857774,0.000033684963,0.00042931893,0.00011209354,0.000048603993],"category_scores_gemma":[0.0016371447,0.00010623218,0.00022102478,0.0010671703,0.002648512,0.00007077044,0.00035647376,0.00023733742,1.7935355e-7],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021284153,0.000067201894,0.99319863,0.000027095834,0.00010655175,0.0000018837412,0.00068826746,0.0026750646,0.000005219262,0.0027508782,0.000004369492,0.00045356626],"study_design_scores_gemma":[0.00023421473,0.000013327655,0.96197796,0.0000016091466,0.000275844,6.0265984e-7,0.000897819,0.0035949014,0.0000740422,0.03256832,0.0002639657,0.000097410826],"about_ca_topic_score_codex":0.5979651,"about_ca_topic_score_gemma":0.46168593,"teacher_disagreement_score":0.13627918,"about_ca_system_score_codex":0.0064383517,"about_ca_system_score_gemma":0.00051994325,"threshold_uncertainty_score":0.9973757},"labels":[],"label_agreement":null},{"id":"W4412720066","doi":"10.1016/j.cjpre.2025.05.002","title":"Global greenhouse gas emissions in the 21st century: Complex network, driver pattern and economy-based interaction","year":2025,"lang":"en","type":"article","venue":"Chinese Journal of Population Resources and Environment","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":"Ministry of Education of the People's Republic of China; Sichuan Office of Philosophy and Social Science","keywords":"Greenhouse gas; Business; Natural resource economics; Environmental science; Economic system; Economics; Geology","score_opus":0.008150926362285009,"score_gpt":0.2493257663523156,"score_spread":0.2411748399900306,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412720066","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9964849,0.00021668176,0.00027815622,0.0018360192,0.000042609878,0.00016018769,0.0000030978379,0.000003284918,0.0009751044],"genre_scores_gemma":[0.99884796,0.00028874676,0.00015581943,0.0006333171,0.000042082946,0.0000028313352,0.0000073321717,0.0000046583577,0.000017234099],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9990042,0.00013831658,0.00036043246,0.00016042881,0.0001688251,0.00016779269],"domain_scores_gemma":[0.9995143,0.00006106963,0.0001890272,0.00014435916,0.0000015325205,0.00008971541],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035816748,0.00014891975,0.0001804775,0.00003755399,0.00015677472,0.00005414144,0.00012373478,0.000051064377,0.00027345735],"category_scores_gemma":[0.00001696915,0.00009271477,0.00006142712,0.00010663358,0.00013653947,0.0001900422,0.00011909697,0.0001426208,0.0000022133352],"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":[0.000039803173,0.00010710965,0.9267714,0.000009866058,0.000007980648,0.000004787154,0.0003896854,0.053366464,0.000014646586,0.000015481664,0.00012630613,0.019146448],"study_design_scores_gemma":[0.0005226574,0.000078609795,0.96917874,0.000022138158,0.000020338974,0.000015452442,0.0008868122,0.007110069,5.484382e-7,0.0015060856,0.02057517,0.00008339451],"about_ca_topic_score_codex":0.00036753443,"about_ca_topic_score_gemma":0.0002125392,"teacher_disagreement_score":0.046256397,"about_ca_system_score_codex":0.00034146474,"about_ca_system_score_gemma":0.0000025187232,"threshold_uncertainty_score":0.37807986},"labels":[],"label_agreement":null},{"id":"W4412898872","doi":"10.3390/su17156876","title":"Spatio-Temporal Dynamics, Driving Mechanisms, and Decoupling Evaluation of Farmland Carbon Emissions: A Case Study of Shandong Province, China","year":2025,"lang":"en","type":"article","venue":"Sustainability","topic":"Environmental Impact and Sustainability","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":"Ministry of Agriculture","funders":"","keywords":"Decoupling (probability); China; Environmental science; Driving factors; Carbon fibers; Geography; Computer science; Engineering","score_opus":0.007196886174503707,"score_gpt":0.2845165823127966,"score_spread":0.2773196961382929,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412898872","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9962617,0.000047151112,0.00051442353,0.000081278755,0.000040014966,0.0025622565,0.000004953171,0.00002050626,0.0004676965],"genre_scores_gemma":[0.99952674,0.0000024347646,0.00025905753,0.0000037872733,0.00000357431,0.00006435581,0.0000073573024,0.000009696308,0.000122984],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997765,0.00037306678,0.00056548225,0.00049533613,0.00051604054,0.0002850895],"domain_scores_gemma":[0.9989273,0.000103654005,0.0002219919,0.0005330199,0.00011407667,0.0000999386],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029360917,0.00020215128,0.0003426017,0.000091626775,0.00019123017,0.000018791243,0.00014557915,0.00009377285,0.000092862276],"category_scores_gemma":[0.0010800388,0.00018485918,0.00005546637,0.00033229458,0.00031493144,0.00020263281,0.0004827477,0.00015750946,9.828603e-8],"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":[0.00006520157,0.0008613904,0.9844066,0.00022338083,0.000021062626,0.000031094107,0.002537089,0.0026888263,0.00006746647,0.000083762556,0.0000021636938,0.0090119755],"study_design_scores_gemma":[0.0013966804,0.00035184136,0.8134629,0.000025672356,0.00015942227,0.000015546648,0.04524199,0.12217131,0.00037823353,0.016614284,0.0000033454319,0.0001787813],"about_ca_topic_score_codex":0.021145161,"about_ca_topic_score_gemma":0.015838867,"teacher_disagreement_score":0.17094369,"about_ca_system_score_codex":0.0025315722,"about_ca_system_score_gemma":0.00024236829,"threshold_uncertainty_score":0.98537314},"labels":[],"label_agreement":null},{"id":"W4413062027","doi":"10.1145/3715335.3736316","title":"Going beyond LCA for CPS : the fall detection use case","year":2025,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science","score_opus":0.008427652223139143,"score_gpt":0.24627938562953744,"score_spread":0.23785173340639829,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413062027","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97473216,0.00000888413,0.011780908,0.00047215048,0.000083648316,0.0004795823,0.0000034151458,0.000031463136,0.012407787],"genre_scores_gemma":[0.9844734,0.0000029671805,0.0005923825,0.00079678744,0.000009966806,0.000043031047,0.0000010747923,0.000005130033,0.014075279],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9993802,0.000034613895,0.00011461549,0.00018396204,0.00008158947,0.00020504037],"domain_scores_gemma":[0.9995302,0.00016036777,0.000020568157,0.00024372291,0.0000022751112,0.0000428518],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024579748,0.00008493518,0.000061509316,0.0000130835,0.0003322338,0.000054476925,0.00009403726,0.0000418562,0.0003278185],"category_scores_gemma":[0.000104478124,0.000055694632,0.00006101373,0.00011708683,0.00014351739,0.00026935645,0.00014151787,0.000069955015,0.000049420025],"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":[0.00021461498,0.00046161553,0.66793287,0.000075238095,0.00006449528,0.00012268488,0.0019429497,0.0023208554,0.029295387,0.002413622,0.011193763,0.28396192],"study_design_scores_gemma":[0.0015900293,0.0004059826,0.6512783,0.000011090972,0.00014084757,0.0002957255,0.006039334,0.025260739,0.069114104,0.019645665,0.22551617,0.0007020136],"about_ca_topic_score_codex":0.0014801769,"about_ca_topic_score_gemma":0.0040716934,"teacher_disagreement_score":0.2832599,"about_ca_system_score_codex":0.000316686,"about_ca_system_score_gemma":0.0000042622924,"threshold_uncertainty_score":0.35893828},"labels":[],"label_agreement":null},{"id":"W4413072888","doi":"10.1016/j.procir.2025.01.046","title":"Adaptive LCI Data Completion: Integrating Neural Processes and Active Learning for Enhanced Life Cycle Assessment","year":2025,"lang":"en","type":"article","venue":"Procedia CIRP","topic":"Environmental Impact and Sustainability","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 Laval; Natural Sciences and Engineering Research Council of Canada","funders":"Seco Tools; Engineering and Physical Sciences Research Council","keywords":"Computer science; Psychology; Process management; Artificial intelligence; Engineering","score_opus":0.023709556727510454,"score_gpt":0.31360141137326686,"score_spread":0.2898918546457564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413072888","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94591427,0.00011885773,0.04099904,0.0006954323,0.00008211787,0.0010835675,0.000033465974,0.000080567486,0.010992688],"genre_scores_gemma":[0.9953739,0.000019982734,0.003810777,0.00026013458,0.000034655226,0.00013929537,0.00006467155,0.0000111703885,0.0002854065],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9987944,0.00004540734,0.00019233127,0.00050630065,0.000176622,0.00028496893],"domain_scores_gemma":[0.99932635,0.00023067136,0.00009570471,0.00022326458,0.00002092119,0.00010308635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025537075,0.00016472969,0.00018710477,0.000024455267,0.00035114834,0.00006401782,0.00027235333,0.00005247088,0.00013072365],"category_scores_gemma":[0.00094734994,0.00014892497,0.000022399368,0.00019410292,0.00022795584,0.0006248294,0.0005425917,0.00021514254,0.0000051826228],"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":[0.001133371,0.0013577603,0.46273133,0.0020425988,0.00026793405,0.0000071518484,0.0146018695,0.011584231,0.034252588,0.0014827604,0.002758464,0.46777993],"study_design_scores_gemma":[0.0018636553,0.00067195244,0.72106934,0.00012274997,0.000121357436,0.0000047358,0.02186081,0.2376708,0.0064649684,0.0055716955,0.0038478414,0.0007301152],"about_ca_topic_score_codex":0.0000831646,"about_ca_topic_score_gemma":0.00011699635,"teacher_disagreement_score":0.4670498,"about_ca_system_score_codex":0.0002343101,"about_ca_system_score_gemma":0.000076060875,"threshold_uncertainty_score":0.6072984},"labels":[],"label_agreement":null},{"id":"W4413194581","doi":"10.15832/ankutbd.1472606","title":"The Impacts of Agricultural Energy Use and Cultivable Area on the Cropland Footprint in Light of the EKC Model: Evidence from the Top Ten Most Successful Countries in Agriculture","year":2025,"lang":"en","type":"article","venue":"Tarım Bilimleri Dergisi","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Agriculture; Footprint; Agricultural economics; Environmental science; Ecological footprint; Natural resource economics; Geography; Agricultural engineering; Agroforestry; Environmental protection; Economics; Ecology; Sustainability; Engineering; Biology; Archaeology","score_opus":0.007591224310865024,"score_gpt":0.2102336412005192,"score_spread":0.20264241688965418,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413194581","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9901498,0.00064541004,0.000007277294,0.008105728,0.000043632994,0.000473198,0.000025755278,0.000006291214,0.0005429368],"genre_scores_gemma":[0.9984025,0.000610984,0.000014698032,0.0003632183,0.000007861828,0.000032834225,0.0000027615633,0.000005404116,0.00055975874],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983777,0.0002648288,0.00036811823,0.00030227896,0.00037087218,0.00031622656],"domain_scores_gemma":[0.99788934,0.0012677434,0.00015774931,0.0006204497,0.0000192085,0.000045527737],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046422303,0.00021767206,0.00022346947,0.000016081642,0.00027398535,0.000101403864,0.00065764395,0.00009772877,0.00003669188],"category_scores_gemma":[0.0005343721,0.0000731939,0.00007065403,0.00048510573,0.00071206386,0.00028134792,0.00055055507,0.00024714242,8.9327966e-7],"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":[0.0001230864,0.00009391466,0.96631587,0.000010686941,0.000018200686,8.9900743e-7,0.0021810755,0.015324825,0.01418217,0.0004085265,0.001147258,0.00019347898],"study_design_scores_gemma":[0.00022796367,0.000035417423,0.9682993,0.00014236274,0.000015666306,8.527644e-7,0.0026795566,0.0005902125,0.026061732,0.000823096,0.0010165874,0.000107248285],"about_ca_topic_score_codex":0.022919301,"about_ca_topic_score_gemma":0.022961339,"teacher_disagreement_score":0.014734613,"about_ca_system_score_codex":0.00030166592,"about_ca_system_score_gemma":0.000038522674,"threshold_uncertainty_score":0.9948671},"labels":[],"label_agreement":null},{"id":"W4413274511","doi":"10.1088/2634-4505/adfc95","title":"Leveraging building permit data for large-scale embodied carbon assessment of residential building construction","year":2025,"lang":"en","type":"article","venue":"Environmental Research Infrastructure and Sustainability","topic":"Environmental Impact and Sustainability","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":"","keywords":"Scale (ratio); Embodied cognition; Architectural engineering; Computer science; Construction engineering; Environmental science; Engineering; Geography; Artificial intelligence; Cartography","score_opus":0.017294083305897243,"score_gpt":0.3618982840636547,"score_spread":0.34460420075775744,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413274511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.983904,0.00013311849,0.011135205,0.0004402585,0.00013165675,0.0017517309,0.00014730926,0.000028879898,0.002327844],"genre_scores_gemma":[0.9868914,0.0000663779,0.012461027,0.000046283487,0.00005083808,0.000083649225,0.00007947058,0.00002533479,0.00029560685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9956096,0.00050204934,0.00065176375,0.0012562555,0.00091459247,0.0010657323],"domain_scores_gemma":[0.9977405,0.00042151392,0.00014856215,0.0014110329,0.000032569787,0.000245831],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0037440252,0.0003423618,0.00047122108,0.00020135689,0.00081363856,0.00009811964,0.0007899108,0.00023124405,0.00040488126],"category_scores_gemma":[0.0007176766,0.00033374576,0.00010967055,0.00039188063,0.0018082614,0.00057281664,0.0032791195,0.00069088966,5.120187e-7],"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":[0.00018713844,0.0002462042,0.97353524,0.00036489675,0.000050591516,0.0000054965453,0.00064490817,0.00076371484,0.008652406,0.0015828393,0.00030181362,0.013664776],"study_design_scores_gemma":[0.0012713594,0.00018905745,0.8865613,0.00002883081,0.00005786825,0.0000080974105,0.014403417,0.020676607,0.002704132,0.068535335,0.005242364,0.0003216881],"about_ca_topic_score_codex":0.00039066598,"about_ca_topic_score_gemma":0.00004317837,"teacher_disagreement_score":0.08697397,"about_ca_system_score_codex":0.0028925494,"about_ca_system_score_gemma":0.00018851612,"threshold_uncertainty_score":0.9999115},"labels":[],"label_agreement":null},{"id":"W4413503169","doi":"10.59627/rbens.2025v16i1.508","title":"ANÁLISIS PRELIMINAR DE LA VARIABILIDAD DE CORTO PLAZO DEL RECURSO SOLAR EN ARGENTINA UTILIZANDO LOS DATOS DE LA RED SAVER-NET","year":2025,"lang":"es","type":"article","venue":"Revista Brasileira de Energia Solar","topic":"Environmental Impact and Sustainability","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":"Dalhousie University","funders":"","keywords":"Humanities; Philosophy","score_opus":0.005428840159117451,"score_gpt":0.2692895597398138,"score_spread":0.26386071958069635,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413503169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.977943,0.0020422104,0.010151686,0.00014689437,0.000116668125,0.0010207923,0.00028875892,0.00016425345,0.008125719],"genre_scores_gemma":[0.98839486,0.002379694,0.0062498446,0.0007265247,0.00014516585,0.00012546132,0.0001011017,0.00013777503,0.001739583],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.98968065,0.0049984604,0.0010671333,0.0014406745,0.00070100994,0.002112072],"domain_scores_gemma":[0.9950488,0.0018351777,0.00041033796,0.0017409008,0.000029470659,0.00093531155],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00625617,0.0009659178,0.001007868,0.000209473,0.0007358709,0.00087059994,0.0014509269,0.001197703,0.0016930094],"category_scores_gemma":[0.0024334064,0.0010592357,0.0005726756,0.0008228142,0.0014051868,0.00065337616,0.0010740908,0.001365171,0.0000718956],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00042160493,0.001273745,0.94859695,0.0009719895,0.0002319761,0.00036671027,0.0014315458,0.0036606814,0.030217698,0.002620255,0.0060733925,0.004133455],"study_design_scores_gemma":[0.0014926655,0.00026904038,0.91382265,0.0005728842,0.0006871409,0.00017036595,0.00096176553,0.008893697,0.015572502,0.0009562472,0.055577792,0.0010232194],"about_ca_topic_score_codex":0.0009897379,"about_ca_topic_score_gemma":0.000022146207,"teacher_disagreement_score":0.0495044,"about_ca_system_score_codex":0.004725005,"about_ca_system_score_gemma":0.00071974215,"threshold_uncertainty_score":0.9992196},"labels":[],"label_agreement":null},{"id":"W4413508038","doi":"10.64628/aam.gqrhhmm64","title":"If companies want net-zero carbon offices,they need to focus on building materials","year":2021,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Focus (optics); Zero (linguistics); Net (polyhedron); Business; Carbon fibers; Architectural engineering; Engineering; Mathematics; Materials science; Composite material; Physics","score_opus":0.00934050294983711,"score_gpt":0.23926364306223674,"score_spread":0.22992314011239964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413508038","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96389157,0.000008813191,0.00009296008,0.0015353062,0.00016915443,0.00026498915,0.000008979682,0.00006380631,0.033964444],"genre_scores_gemma":[0.99665564,0.000007608581,0.0012424539,0.00065626146,0.00004262078,0.000014310294,0.0000054067755,0.0000206118,0.001355084],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99837834,0.0001087409,0.00026308125,0.00043589628,0.0003540066,0.00045991282],"domain_scores_gemma":[0.99922633,0.00005394271,0.000045882818,0.00044354625,0.0000048182383,0.00022549287],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024783713,0.00021286833,0.00025270955,0.000027124079,0.00012186734,0.00008818611,0.00020568985,0.00006816733,0.004119841],"category_scores_gemma":[0.000063316234,0.00017873026,0.00005589944,0.00015320358,0.00008959763,0.00015057497,0.00042470056,0.00008693148,0.00034256268],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00012229572,0.00040940137,0.059027042,0.000023382665,0.00002263837,0.00008409095,0.0016837307,0.005781664,0.9263617,0.0016481886,0.0010439308,0.003791948],"study_design_scores_gemma":[0.00041924295,0.0002396111,0.23199563,0.000020996462,0.000018532857,0.000012220893,0.0015010271,0.00017611514,0.7574525,0.003921551,0.0037869315,0.00045567253],"about_ca_topic_score_codex":0.00477459,"about_ca_topic_score_gemma":0.00045112937,"teacher_disagreement_score":0.1729686,"about_ca_system_score_codex":0.000503335,"about_ca_system_score_gemma":0.000011400575,"threshold_uncertainty_score":0.9967905},"labels":[],"label_agreement":null},{"id":"W4413508224","doi":"10.64628/aam.f53kw975f","title":"How the holiday buying season adds fuel to a rapidly warming planet","year":2021,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Brock University","funders":"","keywords":"Planet; Global warming; Warming up; Astrobiology; Environmental science; Meteorology; Geography; Climatology; Climate change; Natural resource economics; Economics; Oceanography; Geology; Astronomy; Physics","score_opus":0.011885333040554532,"score_gpt":0.227422353468009,"score_spread":0.21553702042745446,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413508224","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.953843,0.00009626832,0.0005276199,0.007767955,0.00009415059,0.0002759187,0.000010906165,0.000052219933,0.03733196],"genre_scores_gemma":[0.9821106,0.000014436311,0.0009887721,0.0024048174,0.00004403371,0.00001593442,0.000013754965,0.000012464894,0.014395182],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987073,0.00009225763,0.00010575149,0.0003235409,0.00036326525,0.00040790637],"domain_scores_gemma":[0.99927986,0.000068247246,0.000025275769,0.00042122445,0.0000031516988,0.00020225764],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002909308,0.00014415536,0.00011672549,0.000010081067,0.00019379616,0.00015075022,0.00022825097,0.00005427668,0.0046386765],"category_scores_gemma":[0.00009922247,0.00009673693,0.00004850947,0.00019438313,0.00011665293,0.00024482905,0.00041930674,0.0001519222,0.00040179194],"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":[0.00010760561,0.00062565494,0.6518122,0.000096857,0.00007752641,0.00044300852,0.013725025,0.0041334443,0.123723485,0.0006879885,0.058480375,0.14608681],"study_design_scores_gemma":[0.00041736872,0.00011836941,0.49907166,0.000009633217,0.000026552309,0.0000703923,0.014191996,0.0007003514,0.01569457,0.00058362435,0.46861246,0.0005030074],"about_ca_topic_score_codex":0.00031177985,"about_ca_topic_score_gemma":0.0003184481,"teacher_disagreement_score":0.4101321,"about_ca_system_score_codex":0.00024955304,"about_ca_system_score_gemma":0.000012449397,"threshold_uncertainty_score":0.9962712},"labels":[],"label_agreement":null},{"id":"W4413840124","doi":"10.1016/j.energy.2025.138246","title":"China's energy consumption trends and structural transition pathways under synergistic cost and carbon constraints: Based on the perspective of optimal steady economic growth","year":2025,"lang":"en","type":"article","venue":"Energy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Science Foundation of Jiangxi Province; Ontario Ministry of Natural Resources and Forestry","keywords":"China; Perspective (graphical); Consumption (sociology); Energy consumption; Economics; Carbon fibers; Natural resource economics; Environmental economics; Economic system; Biochemical engineering; Engineering; Computer science; Ecology; Political science; Biology","score_opus":0.006278745793321973,"score_gpt":0.21557039912284176,"score_spread":0.2092916533295198,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413840124","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9863807,0.000054679,0.0016363706,0.0008948564,0.000044511602,0.000060862312,0.000040461742,0.000012938831,0.010874619],"genre_scores_gemma":[0.9995387,0.000030365944,0.00002822513,0.0002634235,0.00000932991,0.000013382734,0.000014490328,0.000006931637,0.00009515041],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.99919856,0.000115071314,0.00014754203,0.00027432104,0.00009769355,0.00016682746],"domain_scores_gemma":[0.999659,0.000075289216,0.000054550055,0.00014746972,0.0000042110555,0.000059452806],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00011185074,0.00014900274,0.0001470957,0.000054874006,0.0001144447,0.000020302836,0.00006900883,0.000062931525,0.00042019846],"category_scores_gemma":[0.000015229093,0.0001146825,0.0000335181,0.00007376591,0.0009799235,0.00007588124,0.00004195028,0.00007039772,3.1942827e-7],"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":[0.0007266364,0.0003078533,0.034431227,0.00006121376,0.00013438205,0.000017087872,0.0028464077,0.18760861,0.01783085,0.70728755,0.00016384806,0.048584342],"study_design_scores_gemma":[0.0011961799,0.00029187376,0.8192821,0.000026962725,0.00006814154,0.000006478888,0.002350433,0.15909612,0.008070926,0.009268561,0.00005212705,0.00029007092],"about_ca_topic_score_codex":0.003836317,"about_ca_topic_score_gemma":0.00025549106,"teacher_disagreement_score":0.7848509,"about_ca_system_score_codex":0.0004830179,"about_ca_system_score_gemma":0.00001799695,"threshold_uncertainty_score":0.57993895},"labels":[],"label_agreement":null},{"id":"W4414007172","doi":"10.37885/250819883","title":"MANURE MANAGEMENT STRATEGIES TO MITIGATE EMISSIONS IN PIG AND POULTRY PRODUCTION: INSIGHTS FROM LIFE CYCLE ASSESSMENT STUDIES","year":2025,"lang":"en","type":"book-chapter","venue":"Editora Científica Digital eBooks","topic":"Environmental Impact and Sustainability","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":"Agriculture and Agri-Food Canada; Université Laval","funders":"","keywords":"Production (economics); Life-cycle assessment; Manure management; Environmental science; Environmental resource management; Manure; Agricultural science; Business; Environmental planning; Biology; Economics; Ecology","score_opus":0.009561999362475704,"score_gpt":0.25824479455539656,"score_spread":0.24868279519292086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414007172","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10760421,0.00028212921,0.000026721877,0.00062094926,0.0034605637,0.0014545494,0.00015579996,0.0000989993,0.8862961],"genre_scores_gemma":[0.6603872,0.0000673674,0.00031704272,0.00023702749,0.0012890097,0.00012106897,0.00007960292,0.00004775203,0.33745393],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9971804,0.000027116288,0.0005270884,0.0011243937,0.0007421352,0.0003988495],"domain_scores_gemma":[0.99877125,0.00007059399,0.00013698563,0.0006209473,0.000017640306,0.00038255987],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000113395785,0.00054846593,0.0004926797,0.00015904759,0.00023827604,0.00030585044,0.00033452635,0.00023651074,0.00019950382],"category_scores_gemma":[0.000051660554,0.0004903266,0.00010951334,0.00006572593,0.00051215186,0.0004423928,0.0012271954,0.00045405832,0.00009264016],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00077663065,0.0026197676,0.03759668,0.0024587826,0.0027478284,0.0018882679,0.024830246,0.0081628915,0.0012888149,0.07561571,0.5971413,0.24487305],"study_design_scores_gemma":[0.00093623396,0.00033439818,0.06290305,0.0011836676,0.00020550525,0.000004138009,0.025586648,0.000044484743,0.000070138085,0.122519486,0.78431386,0.0018983942],"about_ca_topic_score_codex":0.000019621964,"about_ca_topic_score_gemma":0.000043305852,"teacher_disagreement_score":0.55278295,"about_ca_system_score_codex":0.00088143285,"about_ca_system_score_gemma":0.000061797786,"threshold_uncertainty_score":0.99975485},"labels":[],"label_agreement":null},{"id":"W4414161187","doi":"10.1139/cjce-2025-0107","title":"Life cycle carbon assessment of reinforced concrete, structural steel, and mass-timber buildings in Canada","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Civil Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"Université Laval; University of British Columbia; McGill University","funders":"Faculty of Engineering, McGill University","keywords":"Life-cycle assessment; Reinforced concrete; Global warming; Global-warming potential; Carbon fibers; Greenhouse gas; Renewable energy; Population","score_opus":0.002391399713305114,"score_gpt":0.18738215684407328,"score_spread":0.18499075713076815,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414161187","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99426675,0.00012857163,0.00010897855,0.00014290656,0.00013397096,0.000073611765,0.0000041226435,0.0000014156665,0.0051397],"genre_scores_gemma":[0.999485,0.0000070821147,0.00034971084,0.00008946118,0.000008587383,8.6335444e-7,4.3600159e-7,0.000006659093,0.000052170537],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99916345,0.000015074411,0.00032053882,0.00008626483,0.00015518306,0.0002594612],"domain_scores_gemma":[0.9993195,0.000038583737,0.000083323874,0.000096712414,0.000008069995,0.0004537893],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00018866475,0.00010430488,0.00020839492,0.00009854433,0.000025183861,0.000014127306,0.00012759412,0.0000365938,0.00024513374],"category_scores_gemma":[0.00013234034,0.000104470004,0.000027262988,0.0001625868,0.000060174338,0.00013855315,0.000025510228,0.00019345779,5.5810613e-8],"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":[0.0000024865578,2.3351757e-7,0.62445545,0.00003164935,0.000013595291,0.000037068236,0.000095906835,0.37244236,0.002655717,0.000094975316,0.00008444611,0.00008610907],"study_design_scores_gemma":[0.00041741822,0.000034406752,0.8755927,0.00006197345,0.000013013782,0.000012384346,0.00038200675,0.12233083,0.00044738041,0.00005198949,0.00052148296,0.00013442922],"about_ca_topic_score_codex":0.75009745,"about_ca_topic_score_gemma":0.9393444,"teacher_disagreement_score":0.25113726,"about_ca_system_score_codex":0.0020726705,"about_ca_system_score_gemma":0.0010967746,"threshold_uncertainty_score":0.5419961},"labels":[],"label_agreement":null},{"id":"W4414446693","doi":"10.1002/sd.70264","title":"Forest Load Capacity and Carbon Emissions in the World's Largest Forest Nations: An <scp>EKC</scp> ‐Based Assessment for Sustainable Management","year":2025,"lang":"en","type":"article","venue":"Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Distributed lag; Per capita; Sustainable forest management; Sustainability; Sustainable development; Climate change; Forest ecology; Greenhouse gas; Forest management","score_opus":0.00824109438455482,"score_gpt":0.26169736338293803,"score_spread":0.2534562689983832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414446693","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89755213,0.00008816605,0.0016470704,0.00086914207,0.00004615964,0.003954836,0.0000036772094,0.00005939633,0.09577941],"genre_scores_gemma":[0.9377331,0.000015851781,0.006827538,0.0006024297,0.000012797608,0.0019395653,0.000052908224,0.000026392207,0.0527894],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964862,0.00020756667,0.0005370428,0.0007451454,0.00065120216,0.0013728677],"domain_scores_gemma":[0.9985635,0.0003986876,0.00012321027,0.0006172421,0.00008292813,0.00021440601],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0025789887,0.0004007091,0.00030336424,0.00038919796,0.0011694543,0.00026709563,0.0005674365,0.00012026554,0.00004496738],"category_scores_gemma":[0.00038338333,0.0003315956,0.000070224574,0.0014085873,0.0003013645,0.0005465849,0.0005776085,0.00028982747,0.0000030698272],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000046711328,0.0015708512,0.90671945,0.001320614,0.000059542246,0.00023853047,0.003163586,0.009377464,0.000023942888,0.072498746,0.0031761583,0.001804408],"study_design_scores_gemma":[0.0012919593,0.00010199328,0.74938715,0.000048508664,0.00004193721,0.0000019854185,0.04892716,0.0028840676,0.00019737198,0.0157243,0.1811678,0.00022574977],"about_ca_topic_score_codex":0.0015206242,"about_ca_topic_score_gemma":0.0065330802,"teacher_disagreement_score":0.17799164,"about_ca_system_score_codex":0.005443518,"about_ca_system_score_gemma":0.0004407983,"threshold_uncertainty_score":0.99991363},"labels":[],"label_agreement":null},{"id":"W4414483438","doi":"10.1111/gcbb.70083","title":"Maximizing Biochar Climate Change Mitigation Impact Through Optimized Logistics","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia","funders":"Mitacs","keywords":"Biochar; Climate change mitigation; Greenhouse gas; Climate change; Maximization; Global warming","score_opus":0.01902597655242897,"score_gpt":0.29101024281710813,"score_spread":0.27198426626467914,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414483438","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533263,0.00042114724,0.010075928,0.0016335704,0.00038380342,0.0005145511,0.000069877744,0.00016926399,0.033405557],"genre_scores_gemma":[0.9935033,0.00043026928,0.0043424726,0.0010878306,0.000049499748,0.000046595145,0.0000569802,0.000015784264,0.00046730554],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99857175,0.00007863866,0.00025158853,0.0003689451,0.00019984953,0.0005292282],"domain_scores_gemma":[0.9993892,0.00003581548,0.0000828849,0.00038721654,0.0000060268358,0.000098859506],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00021325964,0.00022267952,0.00020995067,0.00004086312,0.00021564808,0.000051199077,0.00022302697,0.00012275955,0.0016213706],"category_scores_gemma":[0.000058030913,0.0001891432,0.0001334783,0.00032611465,0.0003466261,0.00036344535,0.00035082796,0.00010556817,0.00019161658],"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":[0.0009890503,0.0017941905,0.64394134,0.0002879428,0.00027667652,0.00013917858,0.003980823,0.06378053,0.1087085,0.023747062,0.012447535,0.1399072],"study_design_scores_gemma":[0.0055418946,0.0008953532,0.7612963,0.00020039825,0.00028098974,0.000031085965,0.0025941576,0.023886375,0.12412297,0.035760775,0.04299815,0.0023915633],"about_ca_topic_score_codex":0.0016725172,"about_ca_topic_score_gemma":0.000047162648,"teacher_disagreement_score":0.13751563,"about_ca_system_score_codex":0.0006490875,"about_ca_system_score_gemma":0.000010396784,"threshold_uncertainty_score":0.9992913},"labels":[],"label_agreement":null},{"id":"W4414569217","doi":"10.1016/j.jenvman.2025.127451","title":"Addressing spatiotemporal variability in life cycle assessment: review focused on applications relevant to agriculture","year":2025,"lang":"en","type":"review","venue":"Journal of Environmental Management","topic":"Environmental Impact and Sustainability","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 British Columbia, Okanagan Campus","funders":"","keywords":"Strengths and weaknesses; Life-cycle assessment; Identification (biology); Land use; Geographic information system; Inventory analysis; Precision agriculture; Agriculture; Temporal scales","score_opus":0.02294331927798461,"score_gpt":0.3323267280410598,"score_spread":0.3093834087630752,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414569217","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00015253152,0.97173387,0.0011984931,0.0006591001,0.00022689874,0.007324387,0.00012052019,0.000023753217,0.018560434],"genre_scores_gemma":[0.00095246756,0.99335045,0.0032050814,0.000967746,0.0000741352,0.00041099955,0.00005297638,0.000042231586,0.00094393303],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9948527,0.00081025646,0.001959863,0.00076950813,0.0010806494,0.0005270135],"domain_scores_gemma":[0.99735457,0.00020152226,0.0011130492,0.00090019964,0.000004238212,0.0004264233],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0023189462,0.00068397046,0.0017895298,0.000265162,0.00015286384,0.000060114147,0.00095027336,0.00023071912,0.0015165758],"category_scores_gemma":[0.000108978216,0.00052351225,0.0006896124,0.0007186896,0.00015480029,0.0002973583,0.0009369312,0.0009124641,0.00022180738],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000015325191,0.0014991643,0.0004982814,0.015616545,0.00013024651,0.00007251657,0.00003067412,0.0005083849,0.000002038147,0.000057439574,0.003369325,0.9782001],"study_design_scores_gemma":[0.00047703568,0.00023826385,0.016395362,0.023748675,0.00088386,0.000014027636,0.000078535355,0.000008573091,0.0000010474639,0.00030119927,0.9572386,0.00061482657],"about_ca_topic_score_codex":0.000015334519,"about_ca_topic_score_gemma":0.0000072777666,"teacher_disagreement_score":0.97758526,"about_ca_system_score_codex":0.004871131,"about_ca_system_score_gemma":0.000058316244,"threshold_uncertainty_score":0.99972165},"labels":[],"label_agreement":null},{"id":"W4414606362","doi":"10.5380/dma.v66i.97088","title":"Environmental requirements for imported products","year":2025,"lang":"en","type":"article","venue":"Desenvolvimento e Meio Ambiente","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Subsidy; Protectionism; China; Agriculture; Greenhouse gas; Environmental impact assessment; Renewable energy; Environmental pollution; Environmental policy","score_opus":0.01320786339663151,"score_gpt":0.2698782045182376,"score_spread":0.2566703411216061,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414606362","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98302525,0.00021955364,0.00112593,0.00089773466,0.00045816484,0.002057574,0.000052242736,0.00010667759,0.012056874],"genre_scores_gemma":[0.9745351,0.000026709497,0.0017080801,0.0008606309,0.000036110287,0.0002543728,0.00011046689,0.000031436135,0.022437086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99746245,0.00007470508,0.00046033674,0.00080158,0.00045061388,0.0007502862],"domain_scores_gemma":[0.99892974,0.000042569183,0.00012295555,0.00072034704,0.000006695631,0.00017770495],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00053602277,0.00033431372,0.00027268432,0.00008377699,0.00033488584,0.000063456624,0.00039386947,0.00010690804,0.001193311],"category_scores_gemma":[0.00009774964,0.00032325264,0.00015342141,0.00032826612,0.0003951079,0.00042862087,0.00046533215,0.00014067603,0.0003193064],"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":[0.00033874635,0.0017154858,0.6656386,0.00010024271,0.00015938566,0.000015670857,0.00052656775,0.000091178765,0.25881505,0.00059988844,0.057755087,0.014244036],"study_design_scores_gemma":[0.0031811546,0.00037946773,0.4965441,0.000036216887,0.00016057554,0.000005718854,0.0008216103,0.0010472126,0.12684475,0.003590806,0.366617,0.00077140826],"about_ca_topic_score_codex":0.000111854504,"about_ca_topic_score_gemma":0.000022029604,"teacher_disagreement_score":0.3088619,"about_ca_system_score_codex":0.0011548802,"about_ca_system_score_gemma":0.000022555692,"threshold_uncertainty_score":0.999922},"labels":[],"label_agreement":null},{"id":"W4414697501","doi":"10.1016/j.erss.2025.104343","title":"Carbon emissions in metal manufacturing productivity: A global analysis of aluminium smelting","year":2025,"lang":"en","type":"article","venue":"Energy Research & Social Science","topic":"Environmental Impact and Sustainability","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":false,"ca_institutions":"United Nations University Institute for Water, Environment, and Health; University of British Columbia","funders":"","keywords":"Smelting; Aluminium smelting; Productivity; Renewable energy; Greenhouse gas; Production (economics)","score_opus":0.021597690788686775,"score_gpt":0.37320213830945087,"score_spread":0.3516044475207641,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414697501","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.922986,0.00002622841,0.000023283757,0.00038316788,0.000038437123,0.00010720254,0.0000033503725,0.000011380028,0.07642099],"genre_scores_gemma":[0.9989604,0.0000049118303,0.00006832222,0.000019886587,0.0000132966825,0.000020056998,0.0000013795159,0.0000029961236,0.00090876553],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9968344,0.0003177104,0.00025258437,0.0005856829,0.0012456444,0.00076398236],"domain_scores_gemma":[0.9993778,0.000091336755,0.00005490858,0.00031039395,0.00002156473,0.0001440084],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003709324,0.00011157291,0.00025554423,0.0002613979,0.0005374636,0.000044690376,0.0006325108,0.00006604102,0.00015415372],"category_scores_gemma":[0.000509796,0.000102130834,0.00010021147,0.0072166882,0.002702076,0.00031237354,0.00115112,0.00023118826,0.0000014075738],"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":[0.000025354697,0.0004126661,0.9215715,0.000010863936,0.000060433806,0.000009373848,0.0012899772,0.0014228019,0.0425423,0.0024174282,0.00002508309,0.030212242],"study_design_scores_gemma":[0.0000949107,0.000024039497,0.95135385,0.0000056615586,0.000034084096,1.6178632e-7,0.0014702589,0.0015585084,0.043240987,0.0018021227,0.00032001294,0.00009538052],"about_ca_topic_score_codex":0.014496179,"about_ca_topic_score_gemma":0.0028456578,"teacher_disagreement_score":0.07597443,"about_ca_system_score_codex":0.0017531428,"about_ca_system_score_gemma":0.00018551701,"threshold_uncertainty_score":0.99559116},"labels":[],"label_agreement":null},{"id":"W4414719358","doi":"10.1007/978-3-031-78829-1_18","title":"Product Carbon Footprint (PCF)—Scopes and Strategies","year":2025,"lang":"en","type":"book-chapter","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon footprint; Montreal Protocol; Sustainability; Context (archaeology); Kyoto Protocol; Life-cycle assessment; Product (mathematics); Planetary boundaries; Global warming","score_opus":0.006388626472974376,"score_gpt":0.21388007784013235,"score_spread":0.20749145136715796,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414719358","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.021893833,0.00033676016,0.000009113667,0.0002511098,0.000070521695,0.00048629666,0.000005224772,0.00005814469,0.976889],"genre_scores_gemma":[0.18228605,0.00023749766,0.0003022665,0.00006664103,0.00003324045,0.000010310692,0.0000060439233,0.000020711397,0.8170372],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986326,0.000014656324,0.00023856218,0.0005979045,0.00025552957,0.0002607324],"domain_scores_gemma":[0.99932504,0.000024300802,0.000067414105,0.00046996443,0.000003491244,0.00010978391],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001565609,0.00034063018,0.00028346668,0.000035789548,0.00007862736,0.00006913373,0.00017817,0.00015590123,0.002184363],"category_scores_gemma":[0.0000150334345,0.000284347,0.00006973118,0.000020776306,0.00053477666,0.00007244932,0.0006026074,0.00026102155,0.000045044017],"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":[0.00023586165,0.00042605313,0.07355992,0.0014055663,0.00042767174,0.00021451061,0.0020225185,0.00041332986,0.005955682,0.3435057,0.0064542713,0.5653789],"study_design_scores_gemma":[0.00064237847,0.00045991913,0.080389865,0.00018867542,0.00023324306,0.000027650494,0.0010403785,0.00009500141,0.003963392,0.20929195,0.7014655,0.0022020305],"about_ca_topic_score_codex":0.0009904755,"about_ca_topic_score_gemma":0.00052121,"teacher_disagreement_score":0.69501126,"about_ca_system_score_codex":0.00034854194,"about_ca_system_score_gemma":0.00003224859,"threshold_uncertainty_score":0.99996084},"labels":[],"label_agreement":null},{"id":"W4414781197","doi":"10.1007/s40808-025-02632-4","title":"A modular framework for modeling anthropogenic and environmental trade-offs in sustainable textile material choices","year":2025,"lang":"en","type":"article","venue":"Modeling Earth Systems and Environment","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Modular design; Production (economics); Sustainability; Quality (philosophy); Life-cycle assessment; Supply chain; Textile; Resource (disambiguation); Consistency (knowledge bases); Order (exchange)","score_opus":0.010034010344895884,"score_gpt":0.2333379328947174,"score_spread":0.22330392254982154,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414781197","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9222023,0.001297528,0.07469549,0.0001538149,0.00011225142,0.0013217182,0.00004081513,0.00002925182,0.00014686707],"genre_scores_gemma":[0.9962331,0.00062558736,0.0018708946,0.00008622899,0.00004708573,0.0002278216,0.000030187826,0.000035571924,0.0008435201],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99750435,0.000092042,0.00055600074,0.000810757,0.00028948247,0.0007473729],"domain_scores_gemma":[0.9993008,0.000049058825,0.00007582088,0.0003946847,0.0000010659753,0.0001785711],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005961895,0.0003741333,0.00043643446,0.00009163034,0.000396578,0.00013647013,0.00016065189,0.00023367404,0.00015463681],"category_scores_gemma":[0.000019832682,0.00036226687,0.00007970083,0.00008076994,0.00026086866,0.00036908386,0.0003773502,0.00020364729,0.0000071683535],"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":[0.000149137,0.00028847734,0.035360992,0.00030619852,0.0000385027,0.00001359315,0.00096668676,0.95483035,0.0040489435,0.0013166628,0.000008357224,0.0026721023],"study_design_scores_gemma":[0.0008064109,0.00012792101,0.008579369,0.000071276656,0.000040418217,0.0000074409195,0.0044975122,0.9790735,0.00014401767,0.0042264843,0.0020242303,0.000401422],"about_ca_topic_score_codex":0.0013562716,"about_ca_topic_score_gemma":0.000024213889,"teacher_disagreement_score":0.07403084,"about_ca_system_score_codex":0.00040541042,"about_ca_system_score_gemma":0.000010260225,"threshold_uncertainty_score":0.99988294},"labels":[],"label_agreement":null},{"id":"W4414794215","doi":"10.1680/jenge.25.00093","title":"Embodied carbon calculation for geosynthetic products and implication for engineering projects","year":2025,"lang":"en","type":"article","venue":"Environmental Geotechnics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Victoria","funders":"","keywords":"Carbon footprint; Geosynthetics; Product (mathematics); Sustainability; Carbon fibers; Life-cycle assessment; Credibility","score_opus":0.005660045813159808,"score_gpt":0.2217734937512643,"score_spread":0.21611344793810447,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414794215","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886567,0.00012443826,0.0070644175,0.00044617808,0.000076288474,0.0030435654,0.00003367532,0.00008237312,0.00047234108],"genre_scores_gemma":[0.9945235,0.000032492357,0.003901996,0.000057211448,0.00002109085,0.00063807314,0.000058995316,0.000025154384,0.0007414662],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9987882,0.000013524228,0.00022993598,0.00049378467,0.00013471852,0.00033987348],"domain_scores_gemma":[0.9994722,0.00006355245,0.00006549616,0.00033540215,0.0000020565785,0.00006128626],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027487744,0.0002028793,0.00016242631,0.000046935227,0.00015292154,0.000022057868,0.00012273208,0.00012647788,0.000013536964],"category_scores_gemma":[0.0000995017,0.00020903544,0.00005582717,0.00010581378,0.0001422588,0.00013136659,0.00017637975,0.00008985539,0.000003496735],"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":[0.0003514021,0.00091770967,0.05364781,0.0007778204,0.000091968555,0.0000017348427,0.0010872314,0.023330174,0.8409967,0.0029973988,0.0008737841,0.07492628],"study_design_scores_gemma":[0.0031214557,0.00077065604,0.4089181,0.000078112476,0.00029786376,0.000019274217,0.0006326564,0.26701376,0.1920291,0.0058560865,0.11978373,0.0014791861],"about_ca_topic_score_codex":0.000037482765,"about_ca_topic_score_gemma":0.0000026059,"teacher_disagreement_score":0.64896756,"about_ca_system_score_codex":0.000586328,"about_ca_system_score_gemma":0.000007852103,"threshold_uncertainty_score":0.85242176},"labels":[],"label_agreement":null},{"id":"W4414852739","doi":"10.1136/oemed-2025-epicohabstracts.212","title":"8286314 A Large language model for identifying industry-funded research on the carcinogenicity of benzene and cobalt metal","year":2025,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","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":"McGill University","funders":"","keywords":"Inference; Carcinogen; Grey literature; Occupational exposure; Pharmaceutical industry","score_opus":0.09557752526120787,"score_gpt":0.4028704312527534,"score_spread":0.3072929059915455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4414852739","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9865938,0.000050369,0.0019883246,0.0006757046,0.000015143236,0.00060903677,0.000031223877,0.000010597736,0.010025835],"genre_scores_gemma":[0.9928499,0.0000052493656,0.00029533516,0.00030508716,0.0000052125965,0.00004196449,0.0000028547802,0.000006297725,0.006488097],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987645,0.00012524506,0.00017069274,0.00026495892,0.00031784136,0.00035675694],"domain_scores_gemma":[0.9993061,0.0002507698,0.000030514344,0.00033667037,0.000009370773,0.00006657894],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016608685,0.000099362405,0.00013767535,0.000042861942,0.00027620752,0.00002626023,0.00022886076,0.00011496269,0.00043925532],"category_scores_gemma":[0.00020418453,0.00006650489,0.00006232551,0.0002313913,0.00031024666,0.00010698675,0.0004691544,0.00030590183,0.000006500188],"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":[0.0006132493,0.0017514464,0.6808793,0.00036566381,0.00020547057,0.000009151604,0.012365432,0.004491002,0.1872903,0.09649245,0.010185177,0.0053513637],"study_design_scores_gemma":[0.0022147025,0.000368181,0.51043963,0.000051061677,0.00009509381,0.000002504128,0.03759889,0.1920636,0.21222372,0.043975137,0.0005375551,0.00042993444],"about_ca_topic_score_codex":0.000931248,"about_ca_topic_score_gemma":0.0007511814,"teacher_disagreement_score":0.1875726,"about_ca_system_score_codex":0.00022750678,"about_ca_system_score_gemma":0.00001781878,"threshold_uncertainty_score":0.48095378},"labels":[],"label_agreement":null},{"id":"W4415122010","doi":"10.1016/j.eneco.2025.108995","title":"From carbon emission trading to inequality: The regressive effects of China’s ETS via residential carbon footprints","year":2025,"lang":"en","type":"article","venue":"Energy Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Ministry of Education of the People's Republic of China; National Natural Science Foundation of China","keywords":"Consumption (sociology); Emissions trading; Greenhouse gas; Carbon fibers; Carbon leakage; Household income; Inequality; Redistribution (election)","score_opus":0.004064138247251432,"score_gpt":0.21763649413300815,"score_spread":0.2135723558857567,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415122010","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9888704,0.000055152137,0.00017699518,0.0005239719,0.0003443551,0.000174593,0.000002903884,0.000014683782,0.009836934],"genre_scores_gemma":[0.9989271,0.000025150348,0.00007606881,0.00016926943,0.00005857622,0.000021269629,0.0000048398483,0.00001301829,0.00070470775],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998855,0.00013812134,0.00030901298,0.0003601223,0.000095065334,0.00024267007],"domain_scores_gemma":[0.99912137,0.00012931935,0.0001260838,0.0005152179,0.000002301174,0.00010568947],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022558079,0.00016900724,0.0002369933,0.000038742364,0.00008777654,0.000021278534,0.0003324361,0.00009999361,0.000064987216],"category_scores_gemma":[0.00009901447,0.00013891,0.000078324294,0.00010639764,0.00013456719,0.00007049137,0.0004193134,0.00011367273,0.0000010590408],"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":[0.0002971977,0.000273149,0.86660826,0.00006741855,0.00013507073,0.000016962378,0.005142735,0.0033877008,0.08275659,0.00035151574,0.00036892827,0.040594447],"study_design_scores_gemma":[0.0005900338,0.00010050772,0.5176015,0.00006298482,0.00005343861,9.297434e-7,0.0003935072,0.018454466,0.44210878,0.019010672,0.0013277809,0.00029544934],"about_ca_topic_score_codex":0.024828102,"about_ca_topic_score_gemma":0.0009738658,"teacher_disagreement_score":0.35935217,"about_ca_system_score_codex":0.00060754234,"about_ca_system_score_gemma":0.00001784536,"threshold_uncertainty_score":0.9816657},"labels":[],"label_agreement":null},{"id":"W4415288247","doi":"","title":"A Novel Approach to including Ecosystem-Scale biodiversity Impacts of Wild CaptureFisheries in Life Cycle Impact Assessment","year":2024,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Environmental Impact and Sustainability","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":"St Mary's Hospital Centre","funders":"","keywords":"Biodiversity; Impact assessment; Life-cycle assessment; Environmental impact assessment; Biodiversity conservation; Economic impact analysis","score_opus":0.012806129146219472,"score_gpt":0.2415107585675966,"score_spread":0.22870462942137712,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415288247","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9533638,0.00009902892,0.014792114,0.0014846385,0.000042931544,0.0003951041,0.000076770906,0.000065629676,0.02968001],"genre_scores_gemma":[0.9880052,0.00002534295,0.011524789,0.00006978003,0.000004377374,0.00001830895,0.000042931784,0.000014030079,0.00029523735],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975167,0.0008817004,0.00035157413,0.00048209747,0.0003995016,0.0003684602],"domain_scores_gemma":[0.9985606,0.00028975727,0.00010287873,0.00068894547,0.00005121686,0.000306578],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032741304,0.00020566181,0.00026433414,0.00012044725,0.00016905287,0.00015070848,0.00049876637,0.000097439566,0.0003202822],"category_scores_gemma":[0.0003343422,0.00018911136,0.00013719544,0.0007034952,0.00019638482,0.00044546896,0.000775457,0.00023261593,0.00004247065],"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":[0.000036157882,0.0020287645,0.90253997,0.00029382453,0.000063708576,0.000005844455,0.03866179,0.0029830015,0.04480374,0.0015776935,0.0012393541,0.005766171],"study_design_scores_gemma":[0.00051591,0.0000034059804,0.957225,0.00034418394,0.000025736932,0.000011939557,0.002004024,0.023785604,0.013590983,0.0002715763,0.0018278185,0.00039377005],"about_ca_topic_score_codex":0.010157668,"about_ca_topic_score_gemma":0.0045581223,"teacher_disagreement_score":0.054685097,"about_ca_system_score_codex":0.000946003,"about_ca_system_score_gemma":0.00008879465,"threshold_uncertainty_score":0.9964338},"labels":[],"label_agreement":null},{"id":"W4415425775","doi":"10.1016/j.spc.2025.10.007","title":"Advancing life cycle assessment through data science: A critical review of algorithms, tools, and data challenges","year":2025,"lang":"en","type":"review","venue":"Sustainable Production and Consumption","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":2,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus","funders":"","keywords":"Data collection; Strengths and weaknesses; Intersection (aeronautics); Life-cycle assessment; Missing data; Big data; Data integration; Data type; Systematic review","score_opus":0.11142235244735332,"score_gpt":0.430587690206205,"score_spread":0.3191653377588517,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415425775","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.000025344836,0.99572104,0.00018987403,0.0012312705,0.00016596548,0.0015490868,0.0001374811,0.000033438093,0.00094649044],"genre_scores_gemma":[0.00007148605,0.99620724,0.0028013834,0.00009494647,0.000057410394,0.00006484444,0.0003218548,0.000016328127,0.0003644965],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9963312,0.00030650367,0.00065050944,0.0016419282,0.0005416475,0.00052819395],"domain_scores_gemma":[0.9970944,0.00017621041,0.00025869618,0.0022300081,0.00005749184,0.00018321918],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0039639664,0.00034289237,0.0009155544,0.00009754431,0.00043927954,0.00009921517,0.00083546597,0.00012936287,0.00024477282],"category_scores_gemma":[0.0057087746,0.00029802156,0.00004617,0.0004463357,0.0016384126,0.0036339553,0.004528828,0.00034139215,0.0000061001697],"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":[0.0000032597595,0.00011669771,0.000069602655,0.20032758,0.000018389836,0.000004064783,0.000045756642,9.12212e-7,5.660611e-7,0.0007264944,0.0006175605,0.7980691],"study_design_scores_gemma":[0.0001058249,0.00006359479,0.00067379774,0.021205448,0.0007173836,0.00005485458,0.0015559831,0.000119866374,0.0000013313156,0.0006338316,0.97445285,0.00041524778],"about_ca_topic_score_codex":0.0001019686,"about_ca_topic_score_gemma":0.00000953228,"teacher_disagreement_score":0.9738353,"about_ca_system_score_codex":0.0005856279,"about_ca_system_score_gemma":0.00053531624,"threshold_uncertainty_score":0.9999472},"labels":[],"label_agreement":null},{"id":"W4415471551","doi":"10.1039/d5em00615e","title":"Emerging investigator series: unpacking PET: comparative analysis of leachable and extractable contaminants from virgin and recycled polyethylene terephthalate bottles and textiles","year":2025,"lang":"en","type":"article","venue":"Environmental Science Processes & Impacts","topic":"Environmental Impact and Sustainability","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":"Toronto Metropolitan University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Marisla Foundation; Park Foundation","keywords":"Polyethylene terephthalate; Contamination; Hazardous waste; Diethylene glycol; Laundry; Bottle; Leaching (pedology); Human health","score_opus":0.007913608734546036,"score_gpt":0.2664173949582975,"score_spread":0.2585037862237515,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415471551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99643993,0.0017976452,0.000056704233,0.0002043076,0.000027387101,0.0002742435,0.00007960694,0.000021550484,0.0010986397],"genre_scores_gemma":[0.9977526,0.0010811457,0.0006788532,0.00015985375,0.000005642564,0.00001488732,0.000013427314,0.000010468028,0.0002831009],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99758524,0.00007799866,0.00041909408,0.00084789254,0.00047613966,0.00059366255],"domain_scores_gemma":[0.9987688,0.00017809971,0.00024722706,0.000309204,0.0000059159593,0.00049073977],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0005563083,0.00034900673,0.00055098225,0.00023511812,0.0005618675,0.00015791586,0.00027121278,0.00006466183,0.00034352238],"category_scores_gemma":[0.00022025983,0.00031108805,0.000042318294,0.0011485555,0.0040360317,0.0020667054,0.00072444027,0.00015082014,0.0000033420765],"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":[0.00004529386,0.00010954336,0.68520087,0.00004179904,0.000078803525,0.00000604149,0.003649597,0.000086578664,0.30774575,0.000019208854,0.000011302799,0.0030052273],"study_design_scores_gemma":[0.0003771829,0.00012315145,0.8918602,0.000072208415,0.00024814147,0.0000120651375,0.009344189,0.001539293,0.09519394,0.00060912734,0.0003094219,0.00031111113],"about_ca_topic_score_codex":0.0019717782,"about_ca_topic_score_gemma":0.0004556314,"teacher_disagreement_score":0.21255182,"about_ca_system_score_codex":0.00034278742,"about_ca_system_score_gemma":0.000068775655,"threshold_uncertainty_score":0.99993414},"labels":[],"label_agreement":null},{"id":"W4415482156","doi":"10.1126/science.ado2624","title":"New frontiers in research on industrial decarbonization","year":2025,"lang":"en","type":"article","venue":"Science","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia; University of Toronto","funders":"Alfred P. Sloan Foundation","keywords":"Climate change; Production (economics)","score_opus":0.06745332066091882,"score_gpt":0.38157197377939905,"score_spread":0.31411865311848025,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415482156","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94352025,0.0000144170945,0.000911076,0.0007562011,0.00031726767,0.00023768691,3.0001095e-7,0.000011880927,0.05423089],"genre_scores_gemma":[0.9955587,0.0000048854586,0.0008883209,0.00013984911,0.000014916306,0.0000047663048,3.4703058e-7,0.000002283608,0.0033859552],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99847335,0.00007524226,0.00011431075,0.00034694627,0.0005990205,0.0003911599],"domain_scores_gemma":[0.9995686,0.00003710004,0.000014028695,0.000262009,0.0000048909155,0.00011336759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017772996,0.0000602084,0.000065858585,0.00022120727,0.00020386251,0.00005751712,0.00043589537,0.0000497438,0.00026786223],"category_scores_gemma":[0.00044278975,0.000054391607,0.000013014075,0.002912034,0.00085162034,0.00031929326,0.0002749641,0.00022570175,0.0000743199],"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":[0.000027150565,0.00005086298,0.92980164,9.890823e-7,4.1081967e-7,0.000002216889,0.00021556925,0.0012473002,0.0017108765,0.00051907595,0.0060970783,0.06032683],"study_design_scores_gemma":[0.00040330362,0.00007775223,0.96842116,0.000015602542,9.410683e-7,2.0599849e-7,0.0007388497,0.0011932778,0.007921699,0.013772655,0.0073632626,0.000091301314],"about_ca_topic_score_codex":0.000542154,"about_ca_topic_score_gemma":0.00006974601,"teacher_disagreement_score":0.060235526,"about_ca_system_score_codex":0.0014395872,"about_ca_system_score_gemma":0.0001655631,"threshold_uncertainty_score":0.37644705},"labels":[],"label_agreement":null},{"id":"W4415525625","doi":"10.1371/journal.pone.0334512","title":"Decline by design: Assessing decline policies as a decarbonisation strategy under the Paris Agreement","year":2025,"lang":"en","type":"article","venue":"PLoS ONE","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Carleton University","funders":"","keywords":"Climate change; Typology; Diversity (politics); Limiting; Set (abstract data type); Unintended consequences; Climate change mitigation","score_opus":0.04563429580521828,"score_gpt":0.29741990130343354,"score_spread":0.25178560549821527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415525625","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775125,0.00022514179,0.0048754904,0.0054917648,0.000014914778,0.00047945068,0.000003269376,0.000036202593,0.011361299],"genre_scores_gemma":[0.9924817,0.00015736684,0.001639286,0.0024436838,0.000018972009,0.000044505818,0.000012189719,0.000010950449,0.003191328],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9984126,0.00018782118,0.0002784787,0.0002714723,0.00049371197,0.00035587754],"domain_scores_gemma":[0.99929047,0.00017262112,0.00007978088,0.00035894045,0.000009216567,0.00008895807],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00061969995,0.00016990725,0.00016904216,0.000024014851,0.00037522,0.0001574494,0.0002664334,0.000074664276,0.0008070491],"category_scores_gemma":[0.00007408696,0.00012650018,0.00004729335,0.00026064893,0.00045491592,0.00028463308,0.00040747225,0.00015636456,0.00011288512],"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":[0.00013228189,0.006578162,0.65987945,0.00009591631,0.0003583891,0.000006339892,0.0013872794,0.0052709538,0.30078682,0.0008454385,0.004790355,0.019868642],"study_design_scores_gemma":[0.00074144715,0.0002808595,0.8635977,0.000065868415,0.00023979812,0.000001349702,0.0028274616,0.0055205845,0.087626085,0.03797593,0.0007723393,0.00035057266],"about_ca_topic_score_codex":0.0021879757,"about_ca_topic_score_gemma":0.00021084583,"teacher_disagreement_score":0.21316074,"about_ca_system_score_codex":0.0006858881,"about_ca_system_score_gemma":0.000036459816,"threshold_uncertainty_score":0.88366216},"labels":[],"label_agreement":null},{"id":"W4415597920","doi":"10.1115/detc2025-169564","title":"Engineering Drawing Information Extraction for the Estimation of Carbon Footprint","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","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":"McGill University","funders":"","keywords":"Pipeline (software); Carbon footprint; Footprint; Information extraction; Automation; Process (computing); Table (database); Extraction (chemistry)","score_opus":0.004954191731377688,"score_gpt":0.24335936204266786,"score_spread":0.2384051703112902,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415597920","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.632267,0.00008265042,0.35739198,0.00081211346,0.00047852081,0.0015029396,0.000005630126,0.000025838446,0.0074333],"genre_scores_gemma":[0.99688995,0.00003888159,0.0025397895,0.00004022662,0.000010959404,0.000054759166,0.000003307147,0.000004809357,0.00041732434],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.998906,0.000017401742,0.0004844436,0.00014225619,0.00021208811,0.00023779372],"domain_scores_gemma":[0.99924755,0.00025711188,0.00014251619,0.0003018389,0.000011656426,0.000039344992],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006380575,0.00015098567,0.0001398031,0.0000641315,0.0001694083,0.000060200728,0.00016731555,0.00009720299,0.0001659351],"category_scores_gemma":[0.00026032008,0.00011951239,0.0001056031,0.00023517925,0.00012676982,0.00043282565,0.00013328796,0.00012407557,0.0000054997386],"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":[0.000056261903,0.00007032535,0.0058274274,0.00028793182,0.00003477024,5.306414e-8,0.00095301255,0.60405475,0.0067471075,0.001710642,0.000012711498,0.38024503],"study_design_scores_gemma":[0.00027829036,0.000053851927,0.24244513,0.00003299748,0.000066575456,5.596107e-7,0.0014537076,0.7077303,0.046045728,0.00047459776,0.0013137237,0.00010455793],"about_ca_topic_score_codex":0.0006853768,"about_ca_topic_score_gemma":0.000016045533,"teacher_disagreement_score":0.38014048,"about_ca_system_score_codex":0.00070392666,"about_ca_system_score_gemma":0.000025518111,"threshold_uncertainty_score":0.48735738},"labels":[],"label_agreement":null},{"id":"W4415614588","doi":"10.3389/frsc.2025.1667409","title":"Expanding scope: the role of legitimacy and legitimation in the adoption of consumption-based carbon accounting in European cities","year":2025,"lang":"en","type":"article","venue":"Frontiers in Sustainable Cities","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Legitimation; Legitimacy; Politics; Relevance (law); Scope (computer science); Process tracing","score_opus":0.005255244870561728,"score_gpt":0.22405421819059881,"score_spread":0.2187989733200371,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415614588","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9809827,0.0010649293,0.0002347095,0.00013044225,0.000039758186,0.0005815413,0.0000023652406,0.000006671175,0.016956832],"genre_scores_gemma":[0.9992608,0.0000984243,0.00022422482,0.000063329564,0.0000055497003,0.000046527297,0.0000058666396,0.000007289474,0.00028802594],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986113,0.00034208858,0.00036797163,0.00017595862,0.00020511505,0.00029759228],"domain_scores_gemma":[0.9995015,0.00014820903,0.00011878544,0.00020719114,0.000011156157,0.00001310922],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015199855,0.0001242439,0.00019487043,0.00021801965,0.000098083,0.00004616227,0.00022170486,0.000043219483,0.000019325202],"category_scores_gemma":[0.0001566547,0.00009612024,0.000030338975,0.0004026516,0.0007924026,0.00036993463,0.00013433181,0.00016653597,2.7375523e-7],"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":[0.000051188385,0.000048433794,0.9839938,0.00022506647,0.000003022101,0.000005113585,0.007309256,0.0051924265,0.00013575614,0.0008201098,0.000058870482,0.0021569345],"study_design_scores_gemma":[0.00049045647,0.000026024105,0.77187926,0.000111130284,0.0000080894715,4.90453e-7,0.21647991,0.0046730107,0.00073569344,0.00526147,0.00024255898,0.00009189055],"about_ca_topic_score_codex":0.0028121602,"about_ca_topic_score_gemma":0.00016624865,"teacher_disagreement_score":0.21211456,"about_ca_system_score_codex":0.0005292456,"about_ca_system_score_gemma":0.000032578722,"threshold_uncertainty_score":0.4251164},"labels":[],"label_agreement":null},{"id":"W4415713780","doi":"10.24850/j-tyca-2026-04-05","title":"Virtual Water and Water Footprint: Bibliometric Valuation of its Scientific Analysis","year":2025,"lang":"","type":"article","venue":"Tecnología y Ciencias del Agua","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual water; Scopus; Water use; Valuation (finance); Water resources; Product (mathematics); Socioeconomic status; Resource (disambiguation)","score_opus":0.022715249137020152,"score_gpt":0.26998412153395335,"score_spread":0.24726887239693318,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415713780","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9933421,0.0010566356,0.0017748093,0.00037603258,0.00039408755,0.00083215843,0.00003422799,0.000049070208,0.0021408666],"genre_scores_gemma":[0.99251056,0.000284156,0.00016726856,0.00010679124,0.000014399217,0.000027641336,0.0000339097,0.000016350177,0.0068389494],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99451214,0.00028702946,0.0011105763,0.0014953625,0.0012560653,0.0013387995],"domain_scores_gemma":[0.99819845,0.000107049826,0.00018814225,0.0011164586,0.00010634828,0.00028352783],"candidate_categories":["metaepi_narrow","bibliometrics","sts","insufficient_payload"],"consensus_categories":["bibliometrics"],"category_scores_codex":[0.0036446264,0.00051424827,0.0007702102,0.020088216,0.0008869483,0.00030515596,0.0009207794,0.00040000147,0.0030302561],"category_scores_gemma":[0.00031865237,0.00035097593,0.00038494368,0.043117885,0.003252403,0.00071209663,0.0021325657,0.0003729617,0.00027392735],"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":[0.00008573117,0.0009432106,0.4296858,0.00014355553,0.00049064576,0.000011340603,0.0046173106,0.0063851075,0.4357734,0.0002673425,0.000046452642,0.1215501],"study_design_scores_gemma":[0.00048574217,0.0002969275,0.6227092,0.000015389975,0.0008067292,0.0000026188443,0.0012320159,0.0068514156,0.3657252,0.000983373,0.00054699957,0.0003443617],"about_ca_topic_score_codex":0.00027593458,"about_ca_topic_score_gemma":0.000085205145,"teacher_disagreement_score":0.19302343,"about_ca_system_score_codex":0.00090414926,"about_ca_system_score_gemma":0.000065925495,"threshold_uncertainty_score":0.9998942},"labels":[],"label_agreement":null},{"id":"W4415958513","doi":"10.48550/arxiv.2510.19886","title":"An Expert-grounded benchmark of General Purpose LLMs in LCA","year":2025,"lang":"en","type":"preprint","venue":"ArXiv.org","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal; St Mary's Hospital Centre","funders":"","keywords":"Benchmark (surveying); Quality (philosophy); Field (mathematics); Hallucinating; Usability; Sophistication; Risk assessment","score_opus":0.021198777644531257,"score_gpt":0.29580000589683686,"score_spread":0.2746012282523056,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415958513","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98527986,0.00016036072,0.00006618692,0.00016202325,0.00030651383,0.0006376781,0.000030906882,0.000034802128,0.013321697],"genre_scores_gemma":[0.9962038,0.00014320943,0.00095743104,0.00033386954,0.000058352893,0.00008895817,0.000084496874,0.000019333338,0.0021105676],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975577,0.00022023822,0.00055958744,0.0008032325,0.0003676588,0.0004915543],"domain_scores_gemma":[0.99840814,0.000045033517,0.00017409082,0.001183712,0.0000067138235,0.00018230495],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004353341,0.00037527367,0.00048280132,0.00008710044,0.00007201031,0.000027102986,0.0007688131,0.0003648369,0.0022044156],"category_scores_gemma":[0.0000660953,0.00036789058,0.00017456828,0.0002140306,0.00043778642,0.0002838692,0.0014817588,0.0005324269,0.000054087126],"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":[0.0000438115,0.0005477482,0.9828054,0.00005982987,0.000014155624,0.00001795778,0.0013883725,0.0021538786,0.009829189,0.000030166819,0.00029721492,0.0028122899],"study_design_scores_gemma":[0.0003399184,0.00009829153,0.9876481,0.00004728732,0.000014203674,0.000001135966,0.00043692335,0.00057407375,0.00798646,0.0014904963,0.0010020629,0.0003610019],"about_ca_topic_score_codex":0.009506351,"about_ca_topic_score_gemma":0.0009630798,"teacher_disagreement_score":0.011211129,"about_ca_system_score_codex":0.0010363142,"about_ca_system_score_gemma":0.000055679975,"threshold_uncertainty_score":0.99987733},"labels":[],"label_agreement":null},{"id":"W4415964594","doi":"10.32920/29873708.v1","title":"Whole-life Carbon Analysis of Residential Buildings Retrofit Projects in Ontario","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electricity; Context (archaeology); Greenhouse gas; Life-cycle assessment; Efficient energy use; Energy consumption; Carbon fibers","score_opus":0.010590955050131601,"score_gpt":0.2483267576866716,"score_spread":0.23773580263653998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415964594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495685,0.00012111534,0.00008220657,0.000613348,0.00017156998,0.00077398267,0.0000115742305,0.000015187743,0.048642494],"genre_scores_gemma":[0.97095233,0.000031035885,0.00028416858,0.00023692628,0.000007754547,0.000016614058,0.000009267558,0.000012516442,0.028449358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597055,0.00019743975,0.0012246892,0.0010076222,0.0007837928,0.00081588706],"domain_scores_gemma":[0.9984399,0.000086531865,0.00027417523,0.00094169594,0.000014660313,0.0002430376],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010983162,0.00042119616,0.0009895507,0.00089121965,0.00011252349,0.000072272385,0.00059921184,0.00032611474,0.008929058],"category_scores_gemma":[0.00021310117,0.00042355055,0.00045336745,0.003923259,0.0008026379,0.00039788385,0.00089258037,0.0005728596,0.000018579718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022086804,0.0005191571,0.98258305,0.00006775483,0.0005221318,0.000015586815,0.0027563877,0.003587798,0.008827589,0.00017992157,0.0001494667,0.0005702822],"study_design_scores_gemma":[0.00077654736,0.00016104092,0.9852776,0.00004562441,0.0010566673,2.4699415e-7,0.0029696685,0.0037117936,0.004889701,0.0002789212,0.0004878346,0.00034433167],"about_ca_topic_score_codex":0.7180422,"about_ca_topic_score_gemma":0.78419894,"teacher_disagreement_score":0.06615677,"about_ca_system_score_codex":0.005251375,"about_ca_system_score_gemma":0.00041048907,"threshold_uncertainty_score":0.9998216},"labels":[],"label_agreement":null},{"id":"W4415964595","doi":"10.32920/29873708","title":"Whole-life Carbon Analysis of Residential Buildings Retrofit Projects in Ontario","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electrification; Electricity; Context (archaeology); Greenhouse gas; Life-cycle assessment; Efficient energy use; Energy consumption; Carbon fibers","score_opus":0.010590955050131601,"score_gpt":0.2483267576866716,"score_spread":0.23773580263653998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415964595","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9495685,0.00012111534,0.00008220657,0.000613348,0.00017156998,0.00077398267,0.0000115742305,0.000015187743,0.048642494],"genre_scores_gemma":[0.97095233,0.000031035885,0.00028416858,0.00023692628,0.000007754547,0.000016614058,0.000009267558,0.000012516442,0.028449358],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99597055,0.00019743975,0.0012246892,0.0010076222,0.0007837928,0.00081588706],"domain_scores_gemma":[0.9984399,0.000086531865,0.00027417523,0.00094169594,0.000014660313,0.0002430376],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010983162,0.00042119616,0.0009895507,0.00089121965,0.00011252349,0.000072272385,0.00059921184,0.00032611474,0.008929058],"category_scores_gemma":[0.00021310117,0.00042355055,0.00045336745,0.003923259,0.0008026379,0.00039788385,0.00089258037,0.0005728596,0.000018579718],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022086804,0.0005191571,0.98258305,0.00006775483,0.0005221318,0.000015586815,0.0027563877,0.003587798,0.008827589,0.00017992157,0.0001494667,0.0005702822],"study_design_scores_gemma":[0.00077654736,0.00016104092,0.9852776,0.00004562441,0.0010566673,2.4699415e-7,0.0029696685,0.0037117936,0.004889701,0.0002789212,0.0004878346,0.00034433167],"about_ca_topic_score_codex":0.7180422,"about_ca_topic_score_gemma":0.78419894,"teacher_disagreement_score":0.06615677,"about_ca_system_score_codex":0.005251375,"about_ca_system_score_gemma":0.00041048907,"threshold_uncertainty_score":0.9998216},"labels":[],"label_agreement":null},{"id":"W4415966755","doi":"10.32920/30556370","title":"Comparison of Operational and Embodied Emissions of Insulation Material in a Toronto Laneway House","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Envelope (radar); Carbon fibers; Expanded polystyrene; Volume (thermodynamics); Building envelope","score_opus":0.012322649236220812,"score_gpt":0.31648796241652194,"score_spread":0.30416531318030116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415966755","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832694,0.00015509457,0.00009632218,0.00014959923,0.00008191449,0.00039896343,0.000036453406,0.0000066411026,0.015805634],"genre_scores_gemma":[0.9986527,0.00007079713,0.0005846405,0.000032346932,0.000006304111,0.0000054460743,0.0000077504055,0.0000059452173,0.0006340608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862236,0.000095890544,0.0006495517,0.00024372373,0.00021335235,0.00017513253],"domain_scores_gemma":[0.99955934,0.000050018065,0.000110064626,0.00020064427,0.000007101433,0.000072855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002613093,0.0001411473,0.0003362918,0.000035546338,0.00006803623,0.000017968234,0.0001101731,0.00012148531,0.0071039917],"category_scores_gemma":[0.000052727824,0.0001286525,0.000035450437,0.00011016011,0.0003512893,0.0003234952,0.00025246674,0.00006350931,0.0000025706156],"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":[0.00018703994,0.0007920098,0.89793867,0.00009940412,0.000010535217,3.477577e-7,0.0022954005,0.0008790351,0.09320167,0.0015355943,0.000053969412,0.0030063018],"study_design_scores_gemma":[0.0006393022,0.00015190194,0.9459749,0.000043270666,0.000016120299,2.6246823e-7,0.004845101,0.0059541864,0.041774813,0.00040971485,0.000087225264,0.000103214305],"about_ca_topic_score_codex":0.013173808,"about_ca_topic_score_gemma":0.0035266287,"teacher_disagreement_score":0.051426854,"about_ca_system_score_codex":0.00065616023,"about_ca_system_score_gemma":0.0000397296,"threshold_uncertainty_score":0.9938036},"labels":[],"label_agreement":null},{"id":"W4415966813","doi":"10.32920/30556370.v1","title":"Comparison of Operational and Embodied Emissions of Insulation Material in a Toronto Laneway House","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Envelope (radar); Carbon fibers; Expanded polystyrene; Volume (thermodynamics); Building envelope","score_opus":0.012322649236220812,"score_gpt":0.31648796241652194,"score_spread":0.30416531318030116,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4415966813","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9832694,0.00015509457,0.00009632218,0.00014959923,0.00008191449,0.00039896343,0.000036453406,0.0000066411026,0.015805634],"genre_scores_gemma":[0.9986527,0.00007079713,0.0005846405,0.000032346932,0.000006304111,0.0000054460743,0.0000077504055,0.0000059452173,0.0006340608],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99862236,0.000095890544,0.0006495517,0.00024372373,0.00021335235,0.00017513253],"domain_scores_gemma":[0.99955934,0.000050018065,0.000110064626,0.00020064427,0.000007101433,0.000072855],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002613093,0.0001411473,0.0003362918,0.000035546338,0.00006803623,0.000017968234,0.0001101731,0.00012148531,0.0071039917],"category_scores_gemma":[0.000052727824,0.0001286525,0.000035450437,0.00011016011,0.0003512893,0.0003234952,0.00025246674,0.00006350931,0.0000025706156],"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":[0.00018703994,0.0007920098,0.89793867,0.00009940412,0.000010535217,3.477577e-7,0.0022954005,0.0008790351,0.09320167,0.0015355943,0.000053969412,0.0030063018],"study_design_scores_gemma":[0.0006393022,0.00015190194,0.9459749,0.000043270666,0.000016120299,2.6246823e-7,0.004845101,0.0059541864,0.041774813,0.00040971485,0.000087225264,0.000103214305],"about_ca_topic_score_codex":0.013173808,"about_ca_topic_score_gemma":0.0035266287,"teacher_disagreement_score":0.051426854,"about_ca_system_score_codex":0.00065616023,"about_ca_system_score_gemma":0.0000397296,"threshold_uncertainty_score":0.9938036},"labels":[],"label_agreement":null},{"id":"W4416400001","doi":"10.1007/978-3-032-09700-2_38","title":"A Life Cycle Environmental Impacts Analysis of Porcelain Plates","year":2025,"lang":"en","type":"book-chapter","venue":"IFIP advances in information and communication technology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Mount Royal University","funders":"","keywords":"Life-cycle assessment; Carbon footprint; Reuse; Global-warming potential; Environmental impact assessment; Renewable energy; Energy consumption; Global warming; Eutrophication","score_opus":0.0025818050800578813,"score_gpt":0.225048834798131,"score_spread":0.22246702971807314,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416400001","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10782826,0.013857305,0.0005700275,0.0013377676,0.000055599954,0.0011024071,0.000237784,0.0001546822,0.8748562],"genre_scores_gemma":[0.9686298,0.025268644,0.00079448195,0.0003151314,0.0000013136167,0.000029987581,0.00031860973,0.000007816475,0.0046342276],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99880064,0.000024654888,0.00067781284,0.00015764435,0.00017767302,0.00016155525],"domain_scores_gemma":[0.99862856,0.00008192832,0.0004740436,0.0007410458,0.0000054057746,0.00006902946],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022750282,0.0002019064,0.0003927631,0.0006981772,0.0000878592,0.000014334414,0.00042429924,0.0003424934,0.001080995],"category_scores_gemma":[0.00010691168,0.00020729426,0.00007999145,0.00028848433,0.0008336468,0.000860556,0.00060568843,0.00033767766,0.000032361662],"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":[0.00015522832,0.00022135364,0.17200945,0.00021543415,0.00046951076,0.0000018275445,0.0026915192,0.010021383,0.00007703158,0.16965383,0.00034594774,0.6441375],"study_design_scores_gemma":[0.0019404562,0.00032527154,0.07803334,0.00026465594,0.0007722491,0.00000882942,0.0058211247,0.014158304,0.0004812957,0.18846196,0.7083414,0.0013911121],"about_ca_topic_score_codex":0.000049425398,"about_ca_topic_score_gemma":0.00015140075,"teacher_disagreement_score":0.8702219,"about_ca_system_score_codex":0.0003308763,"about_ca_system_score_gemma":0.000019296122,"threshold_uncertainty_score":0.99983215},"labels":[],"label_agreement":null},{"id":"W4416510098","doi":"10.1016/j.agwat.2025.109960","title":"Assessing the real impact of inter-provincial grain trade on water and land resources within China via a modified framework","year":2025,"lang":"en","type":"article","venue":"Agricultural Water Management","topic":"Environmental Impact and Sustainability","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","funders":"Fundamental Research Funds for the Central Universities; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China","keywords":"Virtual water; Arable land; Resource (disambiguation); Agricultural productivity; Irrigation; Water resources; Land management; Agriculture; Agricultural land","score_opus":0.005682304381118982,"score_gpt":0.2461729399768924,"score_spread":0.24049063559577344,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416510098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98642355,0.0000049275077,0.0001491376,0.0015143626,0.000066388784,0.00047245802,0.000002541462,0.000023023013,0.011343599],"genre_scores_gemma":[0.99856985,0.000005728712,0.00010507383,0.00012288017,0.00002250882,0.000021442396,0.000016484086,0.0000058767646,0.0011301424],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9987661,0.00012472222,0.00025175707,0.00030315385,0.00021768504,0.00033657165],"domain_scores_gemma":[0.9996365,0.00002111642,0.000046014182,0.00023711653,0.0000018252061,0.00005743075],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034231404,0.00021127958,0.00017593443,0.000028572,0.00022635396,0.00013152466,0.00023865771,0.00006542086,0.000097526274],"category_scores_gemma":[0.0000046568794,0.00007505427,0.00010316997,0.0000906567,0.00024224815,0.00024124522,0.0004817246,0.00018195175,0.000009687825],"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":[0.0007831929,0.0014879847,0.7439497,0.0005022449,0.0010413898,0.0001037879,0.08189605,0.021716256,0.09798712,0.0019587663,0.0031562676,0.045417227],"study_design_scores_gemma":[0.00025967904,0.00014788008,0.98665,0.00003565669,0.00004877263,0.0000018970924,0.001290867,0.00022698868,0.006179971,0.004909241,0.00010012013,0.00014892596],"about_ca_topic_score_codex":0.0013769971,"about_ca_topic_score_gemma":0.000070322196,"teacher_disagreement_score":0.2427003,"about_ca_system_score_codex":0.00028688484,"about_ca_system_score_gemma":9.939905e-7,"threshold_uncertainty_score":0.30606243},"labels":[],"label_agreement":null},{"id":"W4416642697","doi":"10.1016/j.esr.2025.101986","title":"European CO2 emissions persistence Analysis. A comparative IPCC contributor study with fractional integration","year":2025,"lang":"en","type":"article","venue":"Energy Strategy Reviews","topic":"Environmental Impact and Sustainability","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":"International Institute for Environmental Studies; Universidad Francisco de Vitoria","keywords":"Cointegration; Persistence (discontinuity); Eu countries; Climate change; Panel data; Empirical evidence","score_opus":0.03505800998270067,"score_gpt":0.3067211895307763,"score_spread":0.2716631795480756,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416642697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7966529,0.0014876766,0.020754753,0.00027924182,0.000064747794,0.001025851,0.000016099071,0.00006446118,0.17965424],"genre_scores_gemma":[0.99191046,0.00014413803,0.00018775603,0.0002273639,0.000013801268,0.000064772474,0.000047362926,0.000005641212,0.007398719],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99797255,0.000726162,0.00040046813,0.00043580154,0.0002358676,0.00022912855],"domain_scores_gemma":[0.9992526,0.00005847837,0.00016465073,0.00038065223,0.000015611826,0.00012800463],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059678894,0.00022743104,0.00045014318,0.000060124556,0.00028618675,0.000062970685,0.0002240687,0.000033806074,0.0015927706],"category_scores_gemma":[0.000044036264,0.00015204155,0.00015600224,0.0009000162,0.00021660894,0.0002703404,0.000091288864,0.00016887348,0.00008721737],"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":[0.00041562592,0.0043938127,0.892217,0.000034658045,0.0013932853,0.00007658259,0.0036045597,0.038654137,0.0030435363,0.0029903133,0.011819362,0.041357163],"study_design_scores_gemma":[0.00066772575,0.0006082801,0.873526,0.000042632484,0.000751805,0.000003241763,0.007091069,0.0019526124,0.0002891153,0.00015440797,0.11453873,0.00037439915],"about_ca_topic_score_codex":0.00053432805,"about_ca_topic_score_gemma":0.0017170234,"teacher_disagreement_score":0.19525751,"about_ca_system_score_codex":0.00034112312,"about_ca_system_score_gemma":0.000025766807,"threshold_uncertainty_score":0.9993199},"labels":[],"label_agreement":null},{"id":"W4416678084","doi":"10.1186/s10086-025-02246-5","title":"Dynamic life cycle assessment of Canadian glued-laminated (Glulam) timber: a pathway to sustainable structural systems in construction","year":2025,"lang":"en","type":"article","venue":"Journal of Wood Science","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Renewable energy; Engineered wood; Environmental impact assessment; Sustainability; Global-warming potential; Sustainable development; Ecological footprint; Industrial ecology","score_opus":0.0035710090600534427,"score_gpt":0.2514136222295994,"score_spread":0.24784261316954595,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416678084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99266005,0.000045796412,0.00019111132,0.00048756957,0.00027202835,0.00033095366,0.0000046411396,0.000004047631,0.0060038264],"genre_scores_gemma":[0.9977997,0.000008284902,0.0017124095,0.00007656276,0.00000588702,0.0000035432638,4.4236515e-7,0.0000046194004,0.00038856396],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979002,0.000091864895,0.00058900414,0.00023758132,0.00063602417,0.0005453426],"domain_scores_gemma":[0.99896336,0.000035002424,0.00025324587,0.00024150929,0.00007466552,0.0004322405],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016799918,0.00013269832,0.00027763218,0.00086527475,0.0002039637,0.00008329439,0.00052715756,0.000058084086,0.000119364624],"category_scores_gemma":[0.0003074405,0.00011432541,0.00005624688,0.0027259523,0.0006172978,0.00087664113,0.0001844514,0.00022521353,0.0000031150296],"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":[0.00005840244,0.00017862373,0.6328384,0.00013580153,0.000023919063,0.00016417305,0.0017014223,0.30674362,0.049341936,0.005167615,0.00013600096,0.0035100668],"study_design_scores_gemma":[0.000545294,0.00027643374,0.95373327,0.00007720938,0.000012430344,0.00005687503,0.010579657,0.031890858,0.0014204156,0.0007460107,0.00048481292,0.00017671545],"about_ca_topic_score_codex":0.039051026,"about_ca_topic_score_gemma":0.008954898,"teacher_disagreement_score":0.32089487,"about_ca_system_score_codex":0.0038093512,"about_ca_system_score_gemma":0.0010245612,"threshold_uncertainty_score":0.9961321},"labels":[],"label_agreement":null},{"id":"W4416743194","doi":"10.1088/1742-6596/3140/5/052025","title":"Leveraging hourly emission factors of electric grids to evaluate the operational performance of Canadian buildings","year":2025,"lang":"","type":"article","venue":"Journal of Physics Conference Series","topic":"Environmental Impact and Sustainability","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":"École de Technologie Supérieure; Natural Resources Canada","funders":"","keywords":"Greenhouse gas; Electrification; Electricity; Grid; Electricity generation; Energy (signal processing); Electric potential energy; Efficient energy use","score_opus":0.018542020725078167,"score_gpt":0.25316286621627204,"score_spread":0.23462084549119389,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416743194","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9959531,0.00009960765,0.00054805534,0.0018595024,0.00023221134,0.00026693923,0.00002356934,0.0000016461275,0.0010153841],"genre_scores_gemma":[0.99873996,0.00039910842,0.00022642686,0.00012497288,0.000046141424,0.0000018663544,0.0000016513189,0.000009458048,0.00045041012],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99767506,0.00013419692,0.0008235691,0.0002046737,0.00074866234,0.00041384832],"domain_scores_gemma":[0.998711,0.000082037775,0.00041958422,0.0002819587,0.0002336049,0.00027180673],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008521805,0.0002682225,0.00046999272,0.00025621473,0.00037044418,0.000085807165,0.0006760241,0.00008190942,0.000506053],"category_scores_gemma":[0.00015440554,0.00018972963,0.00017992475,0.0011819106,0.0004536361,0.0010572925,0.00017711161,0.00042377962,0.0000036213266],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003295179,0.00023612463,0.5167617,0.0001930221,0.00015507913,0.000002795388,0.012511925,0.011100881,0.4025749,0.0027617582,0.000442495,0.052929748],"study_design_scores_gemma":[0.00019993994,0.00065438595,0.4355697,0.00020133544,0.00007423901,0.0000040004456,0.0034116746,0.0005529779,0.5571943,0.0015994818,0.00039520333,0.00014275945],"about_ca_topic_score_codex":0.0094556585,"about_ca_topic_score_gemma":0.0005887714,"teacher_disagreement_score":0.15461938,"about_ca_system_score_codex":0.0007256597,"about_ca_system_score_gemma":0.0012404062,"threshold_uncertainty_score":0.99714047},"labels":[],"label_agreement":null},{"id":"W4416807858","doi":"10.1016/j.resconrec.2025.108709","title":"Life cycle inventories of global metal and mineral supply chains: a comprehensive data review, analysis and processing","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","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 Waterloo","funders":"Horizon 2020; HORIZON EUROPE Framework Programme; EIT RawMaterials; Agence Nationale de la Recherche; University of Queensland; European Commission","keywords":"Life cycle inventory; Life-cycle assessment; Supply chain; Production (economics); Process (computing); Lithium (medication)","score_opus":0.020016820345334314,"score_gpt":0.29344763338396657,"score_spread":0.27343081303863226,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416807858","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98412347,0.012814712,0.00018189469,0.0024068034,0.000010592111,0.0001753806,0.000020466457,0.0000110209985,0.00025568285],"genre_scores_gemma":[0.9947484,0.0027808393,0.00077089114,0.0015411254,0.0000068028057,0.0000035149603,0.000029032515,0.0000027132044,0.000116651565],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99909544,0.00008865708,0.0002770643,0.00028684278,0.00013334201,0.000118650336],"domain_scores_gemma":[0.9995146,0.000063974614,0.00011993252,0.00019332691,0.000010565341,0.000097642886],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00030335085,0.00010463171,0.00026757226,0.000031157204,0.00014307463,0.000037929425,0.0000951392,0.00004256012,0.00002478146],"category_scores_gemma":[0.0002573251,0.000088683635,0.00002676607,0.00045262068,0.0004301412,0.00024721105,0.00037743218,0.000056579105,2.3103148e-7],"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":[0.000018429917,0.000021741818,0.98552054,0.00035400756,0.00006522105,6.243202e-7,0.0003002856,0.000032232892,0.0004219992,0.000025448498,0.00009695647,0.013142519],"study_design_scores_gemma":[0.00023434061,0.000017226845,0.9784589,0.00015990998,0.00029569786,0.0000019168374,0.0009584206,0.016264196,0.000030453564,0.00015606517,0.0033302885,0.000092622744],"about_ca_topic_score_codex":0.0009449427,"about_ca_topic_score_gemma":0.00029838536,"teacher_disagreement_score":0.016231963,"about_ca_system_score_codex":0.00003656871,"about_ca_system_score_gemma":0.000012954666,"threshold_uncertainty_score":0.36164135},"labels":[],"label_agreement":null},{"id":"W4416823905","doi":"10.5539/jsd.v18n6p13","title":"Building a Greener Future: The Compelling Sustainability Case for Mass Timber Construction","year":2025,"lang":"","type":"article","venue":"Journal of Sustainable Development","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon footprint; Sustainability; Resource (disambiguation); Climate change; Sustainable forest management; Ecological footprint; Supply chain; Consumption (sociology); Embodied energy","score_opus":0.006782729881772892,"score_gpt":0.25276237664079176,"score_spread":0.24597964675901887,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416823905","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8319144,0.0015959196,0.15310535,0.008259811,0.0014548776,0.002881477,0.0000079676365,0.000017856059,0.0007623175],"genre_scores_gemma":[0.9373159,0.00015155411,0.055407103,0.0004496376,0.00033898014,0.000072240946,0.0000019147567,0.000040219864,0.0062224627],"study_design_codex":"design_other","study_design_gemma":"qualitative","domain_scores_codex":[0.9942635,0.00038248135,0.0022082871,0.00064955826,0.0008754083,0.0016207604],"domain_scores_gemma":[0.9965056,0.00046247407,0.0012113539,0.0006373436,0.0007868392,0.00039639536],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.006108711,0.00066782505,0.00084020925,0.0003533127,0.0023426146,0.00041487304,0.0008283662,0.0003492231,0.0006028591],"category_scores_gemma":[0.0005485294,0.00050190225,0.0005235618,0.0011729434,0.0011939629,0.00112628,0.0006345391,0.0009394094,0.0000076232245],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0064471667,0.0038675063,0.22500339,0.010332708,0.0033562812,0.022752479,0.035645254,0.11968572,0.0019059406,0.10128122,0.013724909,0.4559974],"study_design_scores_gemma":[0.004446276,0.00059670955,0.047570165,0.00019896895,0.00075378094,0.0037984313,0.47654754,0.0034276694,0.007137312,0.08156145,0.37269396,0.0012677362],"about_ca_topic_score_codex":0.00010658339,"about_ca_topic_score_gemma":0.000020052623,"teacher_disagreement_score":0.45472968,"about_ca_system_score_codex":0.013186665,"about_ca_system_score_gemma":0.0020404097,"threshold_uncertainty_score":0.9997433},"labels":[],"label_agreement":null},{"id":"W4416854742","doi":"10.1007/s44498-026-00053-9","title":"Regioinvent: a regionalized version of ecoinvent integrating detailed trade data","year":2025,"lang":"en","type":"article","venue":"Journal of Industrial Ecology","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Supply chain; Production (economics); Product (mathematics); Consumption (sociology); Process (computing); Spatialization; Supply and demand; Scenario analysis","score_opus":0.04264262256194645,"score_gpt":0.29204968966546113,"score_spread":0.24940706710351468,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416854742","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893653,0.000052245035,0.00012878778,0.0063182134,0.00053164404,0.00021743434,0.000008204673,0.0000045974025,0.0033735672],"genre_scores_gemma":[0.9986023,0.00004995095,0.0006462516,0.0003569129,0.00007650743,0.0000013567378,0.000010171645,0.0000057978955,0.00025075962],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998294,0.00029446327,0.00075708627,0.00018675064,0.00025031387,0.00021738533],"domain_scores_gemma":[0.99865055,0.0002348535,0.000632817,0.00037023445,0.000010702932,0.0001008455],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0013011,0.00012152426,0.00039015678,0.00009669946,0.000076184806,0.000009554122,0.0006439485,0.00020927853,0.001122807],"category_scores_gemma":[0.0010838512,0.000097437005,0.00013312852,0.00024763565,0.00032618415,0.00030016998,0.00043750685,0.0004301583,0.000009101813],"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":[0.001340507,0.0007742148,0.8208353,0.00002262356,0.00016462753,0.000078551966,0.00031201247,0.0004791796,0.003558354,0.00044471255,0.15208648,0.019903414],"study_design_scores_gemma":[0.02911045,0.0049837893,0.4704831,0.00063509255,0.00092989026,0.00044559842,0.007665259,0.005829125,0.012800059,0.021171266,0.44502687,0.00091951137],"about_ca_topic_score_codex":0.00010114905,"about_ca_topic_score_gemma":0.00016030441,"teacher_disagreement_score":0.35035223,"about_ca_system_score_codex":0.0006148869,"about_ca_system_score_gemma":0.00014304725,"threshold_uncertainty_score":0.9997903},"labels":[],"label_agreement":null},{"id":"W4417028444","doi":"10.1016/j.esr.2025.101940","title":"Decarbonization strategies for the building sector: A comparative study of Qatar and global case studies","year":2025,"lang":"en","type":"article","venue":"Energy Strategy Reviews","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Renewable energy; Corporate governance; Greenhouse gas; Climate change mitigation; Climate change; Action plan; Investment (military); Global warming","score_opus":0.06264893935764529,"score_gpt":0.37774813463959944,"score_spread":0.3150991952819542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417028444","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812459,0.014493853,0.0017178777,0.000030558815,0.000048899747,0.0008075688,0.000005922964,0.000009752428,0.0016396675],"genre_scores_gemma":[0.99823844,0.0012435393,0.00018083345,0.000053897737,0.000010748936,0.0001399522,0.0000014990133,0.0000032392406,0.00012783728],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.99898976,0.00018453553,0.00033819277,0.00024352007,0.0000903462,0.00015363027],"domain_scores_gemma":[0.99946415,0.00013099055,0.000121287965,0.00023395255,0.000010780872,0.000038823462],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003839033,0.00015787456,0.00033648824,0.000011878357,0.00021491763,0.00003584594,0.000117403826,0.000029481891,0.000037099548],"category_scores_gemma":[0.000041378808,0.00009821391,0.0000487122,0.00024964637,0.00027313668,0.00018712695,0.00013274897,0.00004364345,6.129746e-7],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006262135,0.004207024,0.42903998,0.001707502,0.0021526972,0.00022571445,0.053832088,0.11840873,0.0037203326,0.12822397,0.009977757,0.24787799],"study_design_scores_gemma":[0.004739219,0.0036400787,0.14615639,0.00027288168,0.0015012554,0.00022437188,0.72612053,0.012435294,0.0013590587,0.052808467,0.049346816,0.0013956385],"about_ca_topic_score_codex":0.0013140616,"about_ca_topic_score_gemma":0.004871765,"teacher_disagreement_score":0.6722884,"about_ca_system_score_codex":0.00017672905,"about_ca_system_score_gemma":0.000019282757,"threshold_uncertainty_score":0.4005047},"labels":[],"label_agreement":null},{"id":"W4417443697","doi":"10.31449/inf.v49i22.10269","title":"Dynamic Heterogeneous Graph Neural Network with Carbon-Sensitive Dual Attention for Lifecycle Carbon Footprint Assessment of Engineering Projects","year":2025,"lang":"","type":"article","venue":"Informatica","topic":"Environmental Impact and Sustainability","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":"Emissions Reduction Alberta; Transport Canada","funders":"","keywords":"Adaptability; Graph; Artificial neural network; Carbon footprint; Node (physics); System lifecycle; Inference; Dual (grammatical number)","score_opus":0.004675114388830819,"score_gpt":0.2336901267083081,"score_spread":0.2290150123194773,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417443697","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99127287,0.000047523656,0.0026437654,0.000115330964,0.00028506087,0.0026379672,0.000027132735,0.000042105275,0.0029282349],"genre_scores_gemma":[0.9960998,0.00002465035,0.00353554,0.00005703455,0.000019220628,0.00014511064,0.0000161751,0.000025635383,0.000076823286],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9973138,0.00006137507,0.00090564834,0.00036364587,0.0004988098,0.000856708],"domain_scores_gemma":[0.9987827,0.00014300815,0.00034226914,0.00052257185,0.00003424188,0.00017521292],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004917423,0.00045063984,0.00054559484,0.00012598542,0.00016801339,0.0000716218,0.00021088259,0.00016831912,0.000011147287],"category_scores_gemma":[0.000041243784,0.00041079806,0.00021832692,0.00047140583,0.00038494024,0.00019611222,0.0003679489,0.00029944646,9.0514266e-7],"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":[0.00034193505,0.000397947,0.10253039,0.0016268663,0.00039997487,0.00001769042,0.0019761955,0.8815688,0.0026336252,0.0002012554,0.000003170679,0.008302143],"study_design_scores_gemma":[0.0008991907,0.00081496313,0.3119334,0.00020679653,0.00016819334,0.000016741516,0.0010291585,0.68323517,0.0012601468,0.00008884506,0.00001818255,0.0003291994],"about_ca_topic_score_codex":0.00024278945,"about_ca_topic_score_gemma":0.00010217598,"teacher_disagreement_score":0.209403,"about_ca_system_score_codex":0.0010319232,"about_ca_system_score_gemma":0.000096181364,"threshold_uncertainty_score":0.99983436},"labels":[],"label_agreement":null},{"id":"W4417451598","doi":"10.1016/j.resconrec.2025.108753","title":"Just one more storey? The embodied greenhouse gas impacts of adding height, slab thickness, building code and design tranches","year":2025,"lang":"en","type":"article","venue":"Resources Conservation and Recycling","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs; University of Toronto; Cement Association of Canada","keywords":"Embodied cognition; Greenhouse gas; Globe; Slab; Resource (disambiguation); Skepticism; Sustainable design; Embodied energy","score_opus":0.027056631393973435,"score_gpt":0.2683167290516226,"score_spread":0.2412600976576492,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417451598","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9929487,0.00065239304,0.0016967235,0.0034454134,0.000027587988,0.00034467853,0.000004147466,0.000030967924,0.00084939995],"genre_scores_gemma":[0.9963414,0.0004924977,0.002369351,0.00055994093,0.000015631522,0.00000942026,0.000002135598,0.000010935091,0.00019866995],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9988496,0.00016955192,0.00030063285,0.0002598047,0.0001959568,0.00022446095],"domain_scores_gemma":[0.99914545,0.00043492837,0.00013551732,0.00019724853,0.0000093743765,0.00007750492],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082239,0.00015084812,0.00021070108,0.000048234106,0.00041175418,0.000056936726,0.0001304278,0.00009515978,0.00004764396],"category_scores_gemma":[0.00020564786,0.000110419474,0.000040524406,0.00021443669,0.00057611597,0.00019909459,0.00013223391,0.00017129966,8.1610716e-7],"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":[0.00032772782,0.0001533074,0.869777,0.00028413968,0.00008650156,0.000004087228,0.013907817,0.001656333,0.08141733,0.0005856587,0.00040078856,0.03139931],"study_design_scores_gemma":[0.0012223286,0.0001174252,0.9494567,0.00033690146,0.00013896,0.000010668754,0.007479375,0.016718883,0.013944087,0.0021842686,0.008049325,0.00034106022],"about_ca_topic_score_codex":0.00050641154,"about_ca_topic_score_gemma":0.00015625027,"teacher_disagreement_score":0.07967971,"about_ca_system_score_codex":0.000092759874,"about_ca_system_score_gemma":0.000013372435,"threshold_uncertainty_score":0.45027754},"labels":[],"label_agreement":null},{"id":"W4417486659","doi":"10.1016/j.jobe.2025.115005","title":"Optimizing structural and environmental performance in mass timber hybrid high-rise buildings through parametric design","year":2025,"lang":"en","type":"article","venue":"Journal of Building Engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Structural system; Parametric statistics; Sustainability; Embodied energy; Benchmark (surveying); Sustainable design; Workflow; Reduction (mathematics)","score_opus":0.004987106442678004,"score_gpt":0.20832574797666467,"score_spread":0.20333864153398667,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417486659","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9462553,0.0004278092,0.052887555,0.000053442967,0.00015769267,0.00013076742,0.0000013332583,0.0000125188735,0.000073558636],"genre_scores_gemma":[0.88272566,0.00016620295,0.116997674,0.000032857468,0.000022298487,0.0000026257626,4.1622263e-7,0.00001504017,0.000037252154],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9987361,0.00003400341,0.00042298404,0.00020023005,0.00026168846,0.00034498575],"domain_scores_gemma":[0.9995286,0.000111489426,0.00013330986,0.00013604367,0.0000026857713,0.00008785948],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048781227,0.00020089159,0.00027713057,0.00017979184,0.00007298902,0.00004851696,0.0002033552,0.000058522623,0.00007115029],"category_scores_gemma":[0.000079485544,0.00018573557,0.000061014587,0.00028533526,0.000091231595,0.0007819162,0.00015084933,0.00036447152,0.0000015271272],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000029434857,0.000023521046,0.12151221,0.000030199059,0.000018265857,0.000035930574,0.00016098486,0.85331273,0.023090508,0.000032954784,0.000032204916,0.0017210301],"study_design_scores_gemma":[0.002097407,0.00032883216,0.5154378,0.00024438387,0.000082292994,0.00025577482,0.00035377266,0.40562975,0.07245877,0.0011123234,0.0013261044,0.0006728135],"about_ca_topic_score_codex":0.000024900244,"about_ca_topic_score_gemma":1.9840884e-7,"teacher_disagreement_score":0.447683,"about_ca_system_score_codex":0.0008253014,"about_ca_system_score_gemma":0.000009182809,"threshold_uncertainty_score":0.75740767},"labels":[],"label_agreement":null},{"id":"W5536694","doi":"10.1530/acta.0.0650698","title":"Évaluation de l'incertitude lors du développement de la fraction prise pour la détermination des impacts sur la santé humaine dans le cadre de l'analyse du cycle de vie","year":2011,"lang":"fr","type":"article","venue":"Acta endocrinologica","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Environmental science; Population; Welfare economics; Economics; Production (economics); Environmental health","score_opus":0.021951817524067333,"score_gpt":0.293993827369915,"score_spread":0.27204200984584764,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W5536694","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9775515,0.00032760628,0.008361953,0.0012948299,0.000054356453,0.00041447443,0.000016929811,0.00008999111,0.011888368],"genre_scores_gemma":[0.98402196,0.0041712006,0.010938252,0.0002003939,0.00009374437,0.00008081659,0.000018764498,0.00003670276,0.00043813378],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99533904,0.0021904316,0.00043686872,0.00051910384,0.00036219708,0.0011523789],"domain_scores_gemma":[0.9983464,0.00058236235,0.00027233412,0.0003939727,0.000025553243,0.00037936302],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020540727,0.00039510257,0.00030357184,0.000090648246,0.0005536205,0.00011943023,0.00042153732,0.00029323553,0.0020186917],"category_scores_gemma":[0.0012637915,0.00038647783,0.0001788855,0.0001996708,0.0011463964,0.0008905546,0.00032188426,0.0004663086,0.00007707662],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000109421664,0.0016184761,0.80644315,0.000059569233,0.00007951541,0.00036555424,0.009543883,0.0014106673,0.110902056,0.00009161717,0.0005788314,0.06879724],"study_design_scores_gemma":[0.0008031883,0.00020548482,0.8997337,0.000041870553,0.00018609552,0.00043891254,0.0026891711,0.003426356,0.07986611,0.011045166,0.0012015493,0.00036234563],"about_ca_topic_score_codex":0.00953336,"about_ca_topic_score_gemma":0.0008787142,"teacher_disagreement_score":0.09329058,"about_ca_system_score_codex":0.005728575,"about_ca_system_score_gemma":0.00031116258,"threshold_uncertainty_score":0.99985874},"labels":[],"label_agreement":null},{"id":"W610261517","doi":"","title":"Advancing the Cement Industry's Climate Change Plan in British Columbia: Addressing Economic and Policy Barriers","year":2009,"lang":"en","type":"article","venue":"2009 ANNUAL CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION IN A CLIMATE OF CHANGE","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Cement; Sustainability; Business; Carbon tax; Climate change; Natural resource economics; Environmental economics; Economics","score_opus":0.015207264564435285,"score_gpt":0.23877473092334492,"score_spread":0.22356746635890964,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W610261517","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.995941,0.000038304835,0.0000023392463,0.0021472294,0.00004771393,0.0004759977,0.0011956192,0.0000044660746,0.00014736429],"genre_scores_gemma":[0.9990369,0.0004914444,0.000023395814,0.00029694423,0.000013895303,0.000030392359,0.00008513125,0.000006134748,0.000015766684],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985309,0.000077424855,0.00059253053,0.00018513136,0.00033342288,0.00028053977],"domain_scores_gemma":[0.9992222,0.000049269507,0.00052603305,0.00009343035,0.000031706924,0.00007736233],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004932234,0.00010615836,0.00024722854,0.00004665247,0.00011146583,0.000021648193,0.00009359615,0.00012383431,0.00018109244],"category_scores_gemma":[0.00002958482,0.00012010224,0.00003925198,0.00019386571,0.000115042,0.0005006801,0.0000044740677,0.00016139876,9.954058e-8],"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":[0.000059464208,0.00003984057,0.98831224,0.000080906284,0.0000055543546,0.0000016770897,0.007868741,0.00043401914,0.00014889498,0.00016743026,0.00006178073,0.0028194198],"study_design_scores_gemma":[0.000879275,0.00007863903,0.99073744,0.00017106485,0.000020345215,2.5274414e-7,0.0073109195,0.00014124258,0.00016936455,0.0003152968,0.00006965517,0.0001065349],"about_ca_topic_score_codex":0.41764572,"about_ca_topic_score_gemma":0.97279906,"teacher_disagreement_score":0.5551533,"about_ca_system_score_codex":0.00039784505,"about_ca_system_score_gemma":0.000098534525,"threshold_uncertainty_score":0.58623224},"labels":[],"label_agreement":null},{"id":"W61644871","doi":"","title":"Old Wine in New Bottles: Are Carbon Tariffs International Trade Barriers? an Empirical Study of the Impact of Carbon Tariffs on Chinese Agricultural Products","year":2013,"lang":"en","type":"article","venue":"Journal of Business and Economic Studies","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Tariff; Economics; Computable general equilibrium; Carbon tax; International trade; Agriculture; Balance of trade; Protectionism; Kyoto Protocol; Greenhouse gas; International economics; Agricultural economics; Macroeconomics","score_opus":0.014604149270140147,"score_gpt":0.2715007606862443,"score_spread":0.25689661141610415,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W61644871","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9972708,0.00012666793,4.3584876e-8,0.0020224056,0.00020352317,0.00026432532,0.0000031595473,0.0000015418997,0.00010751411],"genre_scores_gemma":[0.9997031,0.000070922106,0.000009082501,0.000022360342,0.00013705622,0.0000027369285,3.8329105e-7,0.000006172192,0.00004817213],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99897856,0.000058922506,0.00048743078,0.00016996523,0.0001584234,0.00014669177],"domain_scores_gemma":[0.9992713,0.00003341311,0.00043849333,0.00015406648,0.000015424066,0.00008733085],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020918278,0.00017004301,0.00043096673,0.000050567392,0.000041445288,0.000016892614,0.00020232341,0.000038562812,0.00005018122],"category_scores_gemma":[0.00014893967,0.00008667721,0.00006926668,0.00012994351,0.00016984681,0.00031358452,0.00014610944,0.00014658777,3.0317506e-7],"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":[0.00007943055,0.00035729742,0.98309046,0.0000112476255,0.00010134201,0.0000020639427,0.006245858,0.0085499585,0.001113159,2.6964184e-7,0.00025073966,0.00019816143],"study_design_scores_gemma":[0.00088129094,0.0004154901,0.9832544,0.000028195633,0.000020855177,0.0000112440275,0.014907604,0.00019632785,0.00010399129,0.0000833477,0.0000050146905,0.000092289476],"about_ca_topic_score_codex":0.008877517,"about_ca_topic_score_gemma":0.0012438364,"teacher_disagreement_score":0.008661746,"about_ca_system_score_codex":0.00052869204,"about_ca_system_score_gemma":0.000036121706,"threshold_uncertainty_score":0.99772245},"labels":[],"label_agreement":null},{"id":"W633290044","doi":"10.1016/j.jclepro.2015.06.008","title":"Life cycle impact assessment of beverage packaging systems: focus on the collection of post-consumer bottles","year":2015,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":183,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Bottle; Reuse; Plastic bottle; Cold chain; Carton; Waste management; Food packaging; Life-cycle assessment; Data collection; Business; Environmental science; Engineering; Operations management; Production (economics); Mathematics; Economics","score_opus":0.01645043734369544,"score_gpt":0.2798063158020864,"score_spread":0.263355878458391,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W633290044","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99629,0.00008536035,0.00013712494,0.001602536,0.00035170565,0.00026093825,0.0000027129493,0.0000045707548,0.0012650489],"genre_scores_gemma":[0.99952066,0.000030411667,0.000113346374,0.000029660156,0.00011245785,0.000002332772,7.0534776e-7,0.000010564042,0.00017984342],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983178,0.00027523647,0.0005018558,0.00013083733,0.00062485965,0.00014941358],"domain_scores_gemma":[0.99880964,0.000058110803,0.0006607884,0.0002458415,0.000076833676,0.00014879387],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001787606,0.00011476078,0.00023589288,0.00007206797,0.000075280564,0.000018126462,0.00013294333,0.000044496028,0.00013907833],"category_scores_gemma":[0.0006238682,0.000069961825,0.00012150439,0.000183401,0.0001799778,0.0003992417,0.00004677985,0.00020280926,0.000004975889],"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":[0.0005690359,0.0008899536,0.6932313,0.000060915507,0.0001562458,0.0000057776265,0.0028582641,0.24800971,0.037935708,0.000044659995,0.011496436,0.004742027],"study_design_scores_gemma":[0.00062320434,0.0015706238,0.9677273,0.00006669103,0.00007219978,0.00011908467,0.006946122,0.0012711886,0.020336881,0.00061102014,0.00050187827,0.00015378592],"about_ca_topic_score_codex":0.00050846336,"about_ca_topic_score_gemma":0.000013939032,"teacher_disagreement_score":0.27449605,"about_ca_system_score_codex":0.0007068908,"about_ca_system_score_gemma":0.000097832315,"threshold_uncertainty_score":0.28529605},"labels":[],"label_agreement":null},{"id":"W651504980","doi":"","title":"Carbon Footprint of Freight Traffic and Pavement Treatments for Interprovincial Trade Flows of Atlantic Canada (Poster)","year":2014,"lang":"fr","type":"article","venue":"Transportation 2014: Past, Present, Future - 2014 Conference and Exhibition of the Transportation Association of Canada // Transport 2014 : Du passé vers l'avenir - 2014 Congrès et Exposition de 'Association des transports du Canada","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Environmental science; Greenhouse gas; Fuel efficiency; Footprint; Truck; Carbon dioxide; Transport engineering; Environmental engineering; Engineering; Geography; Geology; Automotive engineering","score_opus":0.00417543630615388,"score_gpt":0.18598508079924359,"score_spread":0.1818096444930897,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W651504980","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.979083,0.00034820708,0.0021002796,0.008784885,0.0011197849,0.0018238988,0.0064982604,0.00002189283,0.0002197959],"genre_scores_gemma":[0.9952036,0.0017250637,0.00029596497,0.00024278768,0.00019067683,0.00011045419,0.001741498,0.00006695323,0.0004229609],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9932745,0.00053359603,0.0024497742,0.00080026244,0.0020567917,0.000885085],"domain_scores_gemma":[0.9948143,0.00050122256,0.0031748894,0.00044732352,0.00056218635,0.00050009537],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0013657473,0.0007634332,0.0013140338,0.00013381417,0.00033914213,0.00003288854,0.00038667227,0.0005348144,0.0005542519],"category_scores_gemma":[0.000042600983,0.0007876555,0.00042896235,0.00025111434,0.00036963957,0.00049004547,0.000007733634,0.00040062732,2.6654445e-7],"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":[0.0007900714,0.00057033397,0.9551458,0.002016441,0.0009208326,0.000013655425,0.0061777905,0.015057081,0.004678513,0.0014760671,0.011633671,0.0015197779],"study_design_scores_gemma":[0.004219713,0.00043861405,0.9646577,0.00037014278,0.0017541719,0.0000033748306,0.0014556005,0.001271448,0.011113298,0.00026848054,0.013723645,0.0007237991],"about_ca_topic_score_codex":0.962623,"about_ca_topic_score_gemma":0.9983618,"teacher_disagreement_score":0.035738796,"about_ca_system_score_codex":0.0037061777,"about_ca_system_score_gemma":0.0034246906,"threshold_uncertainty_score":0.9994574},"labels":[],"label_agreement":null},{"id":"W658197445","doi":"","title":"GHG Accounting in a Construction Project: The Case of Montreal's Turcot Project","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon footprint; Engineering; Work (physics); Greenhouse; Engineering management; Library science; Computer science; Mechanical engineering; Ecology","score_opus":0.006395424002505685,"score_gpt":0.1998626524342696,"score_spread":0.19346722843176392,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W658197445","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9956055,0.000010277283,0.00018215022,0.0025836832,0.00007518736,0.0009015352,0.00018254551,0.000006537143,0.0004525426],"genre_scores_gemma":[0.9991231,0.000017582606,0.00023043423,0.00023098591,0.000011075213,0.000067643305,0.00007329815,0.0000100916295,0.00023577873],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9981711,0.000119861885,0.00078295305,0.00022902455,0.00047092952,0.00022611085],"domain_scores_gemma":[0.9988762,0.00008775794,0.00069094816,0.00019881298,0.00010848701,0.000037804515],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003134333,0.00017470599,0.00026697826,0.000059242964,0.000114086186,0.000019710613,0.00013338625,0.00010306367,0.00063105166],"category_scores_gemma":[0.000018334758,0.00012811313,0.00008423616,0.0003019212,0.00025993367,0.00059724355,0.0000054921875,0.00016159756,0.0000010664279],"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":[0.00004993341,0.0000970786,0.98199165,0.00013444382,0.00004403964,0.0000062232652,0.008506874,0.00066557736,0.0028169304,0.00027151415,0.0015105304,0.0039052074],"study_design_scores_gemma":[0.0006568061,0.000036557365,0.9905503,0.000055704346,0.00005943062,0.000003265566,0.0051161773,0.00031674808,0.0022775212,0.0006007857,0.00018727127,0.0001394808],"about_ca_topic_score_codex":0.5069568,"about_ca_topic_score_gemma":0.7644163,"teacher_disagreement_score":0.25745946,"about_ca_system_score_codex":0.00020666186,"about_ca_system_score_gemma":0.0001602537,"threshold_uncertainty_score":0.69095737},"labels":[],"label_agreement":null},{"id":"W6884327675","doi":"10.1021/acs.est.0c01670.s001","title":"Optimizing\\nthe Use of a Constrained Resource\\nto Minimize Regional Greenhouse Gas\\nEmissions: The Case Study of Slag in Ontario’s Concrete","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Lead (geology); Upstream (networking); Portland cement; Life-cycle assessment; Slag (welding); Yield (engineering); Global-warming potential","score_opus":0.0828169128608116,"score_gpt":0.2580130783221046,"score_spread":0.17519616546129302,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884327675","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9951886,0.000023824841,4.734776e-7,0.00032005453,0.000004661433,0.0008101579,0.003146979,0.000015894517,0.0004893407],"genre_scores_gemma":[0.99863356,0.0000011187889,0.00028992104,0.00037237228,0.000010048357,0.0000625232,0.00044655937,0.00001581147,0.00016809537],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9985014,0.00020317314,0.00041685335,0.00031947446,0.00031153642,0.00024753567],"domain_scores_gemma":[0.9988666,0.00035109432,0.00019276673,0.00040279023,0.0000102682125,0.00017645222],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011329304,0.00017987307,0.00026968285,0.000021672866,0.00008844498,0.000018420102,0.00029729615,0.00007673914,0.06786059],"category_scores_gemma":[0.0007308552,0.00013204498,0.000089915564,0.00020928061,0.00014896727,0.00019154303,0.00039862975,0.00026724717,0.000037838025],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0015551937,0.0017147817,0.30409628,0.00034126887,0.0001866266,0.007860627,0.2953625,0.02390808,0.0065875114,0.000005431315,0.35532734,0.003054394],"study_design_scores_gemma":[0.017589204,0.007153052,0.39501315,0.0018615976,0.00029572178,0.0011279542,0.34856227,0.022604259,0.00432432,0.000069943046,0.19879572,0.0026028058],"about_ca_topic_score_codex":0.032520402,"about_ca_topic_score_gemma":0.024195895,"teacher_disagreement_score":0.1565316,"about_ca_system_score_codex":0.00022671597,"about_ca_system_score_gemma":0.000046887995,"threshold_uncertainty_score":0.99360996},"labels":[],"label_agreement":null},{"id":"W6884440900","doi":"10.1021/es0629110.s001","title":"Embodied Environmental Emissions\\nin U.S. International Trade,\\n1997−2004","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Work (physics); Embodied cognition; Currency; Volume (thermodynamics); Trade volume; Emissions trading","score_opus":0.013374334629347964,"score_gpt":0.23496221678884796,"score_spread":0.22158788215949998,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6884440900","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.45224643,0.00032169727,0.000043573724,0.010648101,0.0006317382,0.0019281927,0.29222286,0.0005918873,0.24136552],"genre_scores_gemma":[0.9903378,0.000008487739,0.00011976585,0.00041666842,0.00007367972,0.000074109856,0.0055851946,0.000024268324,0.0033600433],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9985506,0.00004342895,0.00021305044,0.00039955456,0.0004197149,0.00037368483],"domain_scores_gemma":[0.9992741,0.00006563903,0.00007523309,0.00033210588,6.01012e-7,0.00025232576],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00006359811,0.00020115905,0.00012472537,0.000024528166,0.00012891715,0.000027982791,0.00041983434,0.00010342133,0.733477],"category_scores_gemma":[0.00022111501,0.00014087673,0.00011169752,0.00005900676,0.000072993855,0.0004374839,0.00039517556,0.000107275766,0.014542842],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000057547008,0.0004476232,0.111234404,0.000015392812,0.00003051168,0.00006363323,0.00040973176,0.000036175945,0.024250854,0.000012879271,0.79270315,0.070738085],"study_design_scores_gemma":[0.0006135674,0.000053972806,0.3722216,0.000100484074,0.000004991306,0.000017131939,0.000098778066,0.0000540027,0.0063812435,0.00029120842,0.61985046,0.00031258314],"about_ca_topic_score_codex":0.0000071102927,"about_ca_topic_score_gemma":0.0000042128668,"teacher_disagreement_score":0.7189341,"about_ca_system_score_codex":0.00077465846,"about_ca_system_score_gemma":0.000009116207,"threshold_uncertainty_score":0.9862245},"labels":[],"label_agreement":null},{"id":"W6889619935","doi":"10.25855/sft2025-013","title":"Analyse de cycle de vie d'un puits canadien : évaluation environnementale des systèmes pour réduire l'empreinte carbone des bâtiments","year":2025,"lang":"fr","type":"article","venue":"Société Française de Thermique","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Context (archaeology); Sugar industry; Quantitative methodology","score_opus":0.00986457204182167,"score_gpt":0.2644248773200743,"score_spread":0.25456030527825263,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6889619935","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96838576,0.0071870564,0.003955776,0.0013066083,0.00017162463,0.0009218456,0.00010064668,0.000077705656,0.017892968],"genre_scores_gemma":[0.98084533,0.0010237639,0.0031424547,0.00077145506,0.00009621824,0.00017284427,0.00002689693,0.00006937191,0.013851638],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99539757,0.0012310294,0.0006094029,0.0007148777,0.0003906581,0.0016564385],"domain_scores_gemma":[0.99827623,0.00022033144,0.00019819554,0.0006625222,0.000023283792,0.0006194436],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0020911072,0.0005763746,0.00052944495,0.00011468325,0.0011185489,0.00011295909,0.0006120314,0.00045687638,0.0074700336],"category_scores_gemma":[0.0002583852,0.00063964253,0.00037196025,0.0004754275,0.0021908183,0.0005507555,0.00037543173,0.00049356866,0.00022112385],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000118209435,0.0010223084,0.6065364,0.0004095569,0.00045070675,0.00013589115,0.025609583,0.012077294,0.07552221,0.0002955844,0.00039124553,0.27743104],"study_design_scores_gemma":[0.0016565755,0.00017489317,0.85528445,0.00032377246,0.00062846276,0.00004797075,0.014668165,0.014666154,0.06329195,0.047538523,0.0009942935,0.0007247991],"about_ca_topic_score_codex":0.106620714,"about_ca_topic_score_gemma":0.027979773,"teacher_disagreement_score":0.27670625,"about_ca_system_score_codex":0.0116755385,"about_ca_system_score_gemma":0.00055594847,"threshold_uncertainty_score":0.9996055},"labels":[],"label_agreement":null},{"id":"W6894174223","doi":"10.5286/ukerc.edc.000644","title":"Carbon Life Cycle Assessment Evidence Analysis: Review Report - Attributional Studies Extension","year":2017,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Bioenergy; Greenhouse gas; Compendium; Life-cycle assessment; Impact assessment; Environmental impact assessment","score_opus":0.079080116041376,"score_gpt":0.4154586270614799,"score_spread":0.3363785110201039,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6894174223","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9738077,0.0063801324,0.00018893312,0.0065943277,0.000109036126,0.0004456012,0.0000025917766,0.00004323958,0.012428443],"genre_scores_gemma":[0.9900158,0.0065583205,0.00057743053,0.0008455419,0.000026975893,0.000036651454,0.000008149134,0.0000061001824,0.0019250109],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99798614,0.00010378627,0.00041875406,0.0005292977,0.0006669143,0.00029511625],"domain_scores_gemma":[0.9980282,0.00007580144,0.0003073228,0.0013625507,0.000024184113,0.00020191161],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017054942,0.00017563114,0.00040820224,0.00002121745,0.00055191637,0.000052626892,0.0003511963,0.000044524284,0.0022159095],"category_scores_gemma":[0.0018052958,0.00013171927,0.00019513012,0.00015171879,0.0004875262,0.0005466621,0.00080129446,0.00012453941,0.00006637363],"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":[0.0000067074075,0.00011152442,0.99547577,0.000094680574,0.00019638549,0.00010834149,0.000028441209,0.0005409254,0.00025655614,0.00003544084,0.0020010227,0.001144234],"study_design_scores_gemma":[0.00009204758,0.000039500857,0.9965747,0.00014810622,0.0004267671,0.0000138116975,0.00010512909,0.001130571,0.00006741499,0.00032096577,0.0009048663,0.00017614319],"about_ca_topic_score_codex":0.0010410522,"about_ca_topic_score_gemma":0.00017779451,"teacher_disagreement_score":0.016208123,"about_ca_system_score_codex":0.00069831515,"about_ca_system_score_gemma":0.000029876743,"threshold_uncertainty_score":0.9986962},"labels":[],"label_agreement":null},{"id":"W6901763726","doi":"10.60692/kr915-6zz46","title":"Five recommendations to accelerate sustainable solutions in cement and concrete through partnership","year":2023,"lang":"en","type":"article","venue":"Greater South Information System","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"General partnership; Sustainability; Cementitious; Sustainable development; Cement; Set (abstract data type); Focus (optics)","score_opus":0.0555801993704346,"score_gpt":0.26037764979738487,"score_spread":0.20479745042695027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6901763726","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9828458,8.016212e-7,0.0008710215,0.0011868394,0.00005416619,0.0007858884,0.000029660421,0.0001180617,0.014107801],"genre_scores_gemma":[0.99712986,6.165935e-7,0.00017122518,0.00039659074,0.00000952551,0.00019098606,0.000031902488,0.0000061317673,0.0020631715],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99870276,0.000081960534,0.00037660604,0.00016825594,0.00019412377,0.00047628663],"domain_scores_gemma":[0.99954975,0.000011836969,0.00007814313,0.00022405409,0.000012729568,0.00012347598],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006223277,0.0001314667,0.0001362722,0.000111349786,0.00027669081,0.00012711016,0.000109326305,0.00005669869,0.00021696629],"category_scores_gemma":[0.00003693392,0.000120999066,0.000026944716,0.0005618497,0.000061587845,0.0013187024,0.00032825128,0.00007577292,0.0016784199],"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":[0.000063051666,0.0000033331278,0.6181066,0.00022243515,0.000015997442,0.000012389121,0.36578423,0.005681816,0.000009160933,0.0014406809,0.008162639,0.00049768743],"study_design_scores_gemma":[0.0010396148,0.000106985906,0.6268507,0.000051158473,0.000012836169,0.000008143519,0.3491371,0.0054326635,0.0001930585,0.00006262405,0.01673082,0.00037425736],"about_ca_topic_score_codex":0.00022945738,"about_ca_topic_score_gemma":0.000004802148,"teacher_disagreement_score":0.016647138,"about_ca_system_score_codex":0.0006925781,"about_ca_system_score_gemma":0.000011216705,"threshold_uncertainty_score":0.9990989},"labels":[],"label_agreement":null},{"id":"W6903343990","doi":"10.11575/sppp.v10i0.43053.g30814","title":"Big and Little Feet Provincial Profiles: Saskatchewan","year":2017,"lang":"en","type":"article","venue":"University of Calgary","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Consumption (sociology); Investment (military); Production (economics); Goods and services; Government (linguistics); Emissions trading","score_opus":0.006518866219512213,"score_gpt":0.18776573945188674,"score_spread":0.1812468732323745,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6903343990","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.960645,0.00000829889,0.0001713821,0.0001459652,0.000027224198,0.00014525354,0.0000056513613,0.00001060326,0.038840592],"genre_scores_gemma":[0.99316263,0.000008415776,0.00092741055,0.000023532357,0.0000108035965,9.608773e-8,0.0000022726108,0.0000033607505,0.0058615007],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995162,0.000020896861,0.000048066544,0.00015816605,0.00012530484,0.00013139591],"domain_scores_gemma":[0.9995491,0.000009417829,0.000064651074,0.00028053968,0.0000026678845,0.00009362143],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000100771555,0.000065960725,0.00009243236,0.000010704257,0.00034472955,0.000013593272,0.00022216796,0.00005127184,0.00053201267],"category_scores_gemma":[0.000022676099,0.000069578404,0.000032276424,0.000015290068,0.00086436566,0.00021784818,0.00045505396,0.000062937164,0.000031632742],"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":[0.00007878793,0.00010382608,0.9247942,0.000026947822,0.0000079482015,0.000031519532,0.0025020228,0.000002214441,0.0028085518,0.000066114095,0.0006025015,0.06897536],"study_design_scores_gemma":[0.00035736285,0.0000739127,0.9886115,0.000005149584,0.000011816924,0.0000020534867,0.0020653214,0.000095629155,0.00093633705,0.00033015,0.0074139186,0.00009683234],"about_ca_topic_score_codex":0.0064282194,"about_ca_topic_score_gemma":0.0017182352,"teacher_disagreement_score":0.06887853,"about_ca_system_score_codex":0.00010461133,"about_ca_system_score_gemma":0.000018761699,"threshold_uncertainty_score":0.9717587},"labels":[],"label_agreement":null},{"id":"W6907980865","doi":"10.25455/wgtn.15176307","title":"Life cycle cost profitability of biomass power plants in South Africa within the international context","year":2021,"lang":"en","type":"article","venue":"Victoria University of Wellington","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Profitability index; Cost of electricity by source; Profit margin; Tariff; Profit (economics); Renewable energy; Context (archaeology); Electricity","score_opus":0.009532605835587205,"score_gpt":0.19668171028080247,"score_spread":0.18714910444521526,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6907980865","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99381566,0.000022677546,0.00010498628,0.00030848198,0.00019840251,0.00017714972,0.00004079968,0.000007240214,0.005324631],"genre_scores_gemma":[0.99949485,0.000006090976,0.00014351995,0.000023244977,0.000007757644,2.2119083e-7,0.000006966019,0.000003877479,0.00031344805],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99910533,0.000087938795,0.00017113284,0.00020957107,0.00028825452,0.00013778999],"domain_scores_gemma":[0.9994516,0.000071412156,0.0001331396,0.00024325699,0.000015126315,0.00008550987],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00034879788,0.000083929845,0.00014410247,0.000024037026,0.000061760256,0.0000065337667,0.00030959432,0.0000626249,0.0011882496],"category_scores_gemma":[0.00012328253,0.00007624883,0.00006344222,0.00015330249,0.00034723477,0.00013514156,0.00024691338,0.00010661058,0.000026651094],"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":[0.00027715534,0.00042392578,0.9488815,0.000019445373,0.000032552023,0.000016719057,0.0341326,0.0013670508,0.0142369615,0.00023123871,0.00020646003,0.00017439428],"study_design_scores_gemma":[0.0023136083,0.00016634971,0.8094435,0.000049278042,0.00003492154,0.0000024859116,0.10009059,0.0024887288,0.06124079,0.001335124,0.022455586,0.00037905274],"about_ca_topic_score_codex":0.0006580701,"about_ca_topic_score_gemma":0.0004156249,"teacher_disagreement_score":0.13943802,"about_ca_system_score_codex":0.00027010162,"about_ca_system_score_gemma":0.000050426333,"threshold_uncertainty_score":0.9997248},"labels":[],"label_agreement":null},{"id":"W6920641573","doi":"10.6084/m9.figshare.12046632","title":"Beyond national climate action: the impact of region, city, and business commitments on global greenhouse gas emissions","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Climate change; Pace; Government (linguistics); European union; Quarter (Canadian coin); Global warming; Climate policy","score_opus":0.06344675153518688,"score_gpt":0.31821380326767124,"score_spread":0.2547670517324844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920641573","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466129,0.000036185964,0.0000014098019,0.002066159,0.00001664942,0.00041384134,0.03205538,0.000038328315,0.018759165],"genre_scores_gemma":[0.99772084,0.000011691979,0.000012274565,0.00043707757,0.000030056792,0.000016863922,0.0017320403,0.0000064846595,0.000032666387],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991843,0.00004102219,0.00012450657,0.0001840618,0.00029532806,0.00017079961],"domain_scores_gemma":[0.9995648,0.00004763351,0.00008112012,0.0001452942,0.0000138090645,0.00014732956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000038965845,0.00011831065,0.00009744238,0.0000061229207,0.00018102764,0.0000246836,0.0001702538,0.000047373793,0.040622246],"category_scores_gemma":[0.00030147762,0.000077679615,0.000058819303,0.00022606194,0.000060468265,0.00017386055,0.0003215391,0.000088358225,0.00019922563],"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":[0.0001729638,0.00035105742,0.44731578,0.000093181196,0.0000354516,0.000015679498,0.00054449635,0.0023107165,0.00014322337,0.000020472231,0.5439814,0.005015579],"study_design_scores_gemma":[0.0002715171,0.00013978327,0.99438393,0.000042455682,0.0000051401876,0.00001184816,0.0001001501,0.00037577457,0.0000938257,0.0005440196,0.003932165,0.000099363715],"about_ca_topic_score_codex":0.0000853855,"about_ca_topic_score_gemma":0.000011180913,"teacher_disagreement_score":0.5470682,"about_ca_system_score_codex":0.00030872133,"about_ca_system_score_gemma":0.000019558103,"threshold_uncertainty_score":0.9602547},"labels":[],"label_agreement":null},{"id":"W6920727506","doi":"10.6084/m9.figshare.12046632.v1","title":"Beyond national climate action: the impact of region, city, and business commitments on global greenhouse gas emissions","year":2020,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Climate change; Pace; Government (linguistics); European union; Quarter (Canadian coin); Global warming; Climate policy","score_opus":0.06344675153518688,"score_gpt":0.31821380326767124,"score_spread":0.2547670517324844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6920727506","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9466129,0.000036185964,0.0000014098019,0.002066159,0.00001664942,0.00041384134,0.03205538,0.000038328315,0.018759165],"genre_scores_gemma":[0.99772084,0.000011691979,0.000012274565,0.00043707757,0.000030056792,0.000016863922,0.0017320403,0.0000064846595,0.000032666387],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991843,0.00004102219,0.00012450657,0.0001840618,0.00029532806,0.00017079961],"domain_scores_gemma":[0.9995648,0.00004763351,0.00008112012,0.0001452942,0.0000138090645,0.00014732956],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000038965845,0.00011831065,0.00009744238,0.0000061229207,0.00018102764,0.0000246836,0.0001702538,0.000047373793,0.040622246],"category_scores_gemma":[0.00030147762,0.000077679615,0.000058819303,0.00022606194,0.000060468265,0.00017386055,0.0003215391,0.000088358225,0.00019922563],"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":[0.0001729638,0.00035105742,0.44731578,0.000093181196,0.0000354516,0.000015679498,0.00054449635,0.0023107165,0.00014322337,0.000020472231,0.5439814,0.005015579],"study_design_scores_gemma":[0.0002715171,0.00013978327,0.99438393,0.000042455682,0.0000051401876,0.00001184816,0.0001001501,0.00037577457,0.0000938257,0.0005440196,0.003932165,0.000099363715],"about_ca_topic_score_codex":0.0000853855,"about_ca_topic_score_gemma":0.000011180913,"teacher_disagreement_score":0.5470682,"about_ca_system_score_codex":0.00030872133,"about_ca_system_score_gemma":0.000019558103,"threshold_uncertainty_score":0.9602547},"labels":[],"label_agreement":null},{"id":"W6926438973","doi":"10.25384/sage.c.4186190.v1","title":"Trial and error, together: divergent thinking and collective learning in the implementation of integrated care networks","year":2018,"lang":"en","type":"other","venue":"Sage Journals Data","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Conceptualization; Stakeholder; Perception; Perspective (graphical); Integrated care; Mental health; Stakeholder engagement","score_opus":0.026827245002726416,"score_gpt":0.3249998097028954,"score_spread":0.29817256470016895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6926438973","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89778143,0.03600525,0.001495892,0.0003613382,0.00053493027,0.0049454053,0.0011675683,0.0000554546,0.057652704],"genre_scores_gemma":[0.9329161,0.032385018,0.0010826283,0.00032110524,0.000498513,0.00005119292,0.0007864957,0.00027624491,0.031682692],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.998552,0.00042161788,0.0002566446,0.00028503296,0.00029177588,0.00019290808],"domain_scores_gemma":[0.99927104,0.000058275244,0.00028985238,0.00032871088,0.0000036627598,0.000048438866],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011225365,0.00016400279,0.00022173987,0.000055241286,0.00014371114,0.00006201423,0.0003947616,0.00012017124,0.010368354],"category_scores_gemma":[0.000061731356,0.00011118894,0.000023636481,0.00016242129,0.00024162955,0.00016446112,0.0006788601,0.000321711,0.0000030809806],"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":[0.0007150805,0.000104342005,0.7760924,0.000050289065,0.00010827879,0.000021485685,0.021426588,0.00008051985,0.000043234693,6.719795e-7,0.053748507,0.14760861],"study_design_scores_gemma":[0.025161933,0.0019521536,0.51958877,0.001442855,0.00043190052,0.000046343943,0.30596617,0.0013482794,0.000053047952,0.00080994825,0.14210288,0.0010957401],"about_ca_topic_score_codex":0.0036633406,"about_ca_topic_score_gemma":0.004894061,"teacher_disagreement_score":0.28453958,"about_ca_system_score_codex":0.0002377084,"about_ca_system_score_gemma":0.000028418188,"threshold_uncertainty_score":0.99053633},"labels":[],"label_agreement":null},{"id":"W6931686244","doi":"10.5281/zenodo.7629490","title":"Fig. 64 in Revision of the Nearctic species of the Lasioglossum (Dialictus) gemmatum species complex (Hymenoptera: Halictidae)","year":2023,"lang":"en","type":"other","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Holotype; Nearctic ecozone; Species complex; Scale (ratio); Taxonomy (biology)","score_opus":0.0319813938438515,"score_gpt":0.2381065048217333,"score_spread":0.20612511097788178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6931686244","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.035650313,0.00005759487,0.000020152342,0.0009676004,0.0001947955,0.0012241487,0.00036959257,0.00023595149,0.96127987],"genre_scores_gemma":[0.61238134,0.00037781856,0.00005918968,0.000116215044,0.000106289845,8.2946435e-8,0.00012855208,0.0032375273,0.383593],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99780357,0.00048327612,0.00035635577,0.00035163303,0.0006791212,0.0003260547],"domain_scores_gemma":[0.99869066,0.000028376702,0.0002840145,0.0009004084,0.000025681265,0.0000708702],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0005395396,0.00019964839,0.0002658098,0.00010177385,0.00050315046,0.000101226105,0.0014790003,0.00010843646,0.07351069],"category_scores_gemma":[0.0004924448,0.00013832534,0.00012355515,0.0007572377,0.0012415573,0.00009681136,0.0032395588,0.00031453604,0.0018600959],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041553936,0.00027573926,0.0050447453,0.00029819552,0.000042021653,0.0000052002015,0.0025378577,0.00018048809,0.004296364,0.0008638932,0.97839016,0.008023758],"study_design_scores_gemma":[0.00018402703,0.00005231127,0.1667903,0.00012697009,0.000011182372,0.0000041083845,0.000402252,0.000029678025,0.00028617147,0.0000660043,0.831933,0.000113966664],"about_ca_topic_score_codex":0.0005708001,"about_ca_topic_score_gemma":0.000047860012,"teacher_disagreement_score":0.57768685,"about_ca_system_score_codex":0.00043487022,"about_ca_system_score_gemma":0.000003001237,"threshold_uncertainty_score":0.99891704},"labels":[],"label_agreement":null},{"id":"W6940806718","doi":"10.1021/es060082c.s002","title":"Economic Input−Output Life-Cycle\\nAssessment of Trade Between\\nCanada and the United States","year":2016,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Manufacturing sector; Fossil fuel; Resource (disambiguation); Supply chain; Energy sector; Energy (signal processing); Energy intensity; Energy supply","score_opus":0.014652720452076067,"score_gpt":0.23149553958510272,"score_spread":0.21684281913302664,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6940806718","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9694708,0.00004317372,0.0000031605286,0.0020570941,0.000012865937,0.00029138723,0.027100496,0.000015301683,0.0010056983],"genre_scores_gemma":[0.99755424,0.000017333456,0.000016242991,0.00030267375,0.000020055602,0.00003266097,0.0018918369,0.000010133638,0.00015483232],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991717,0.00007997537,0.00019798747,0.0001897514,0.00014204824,0.00021853847],"domain_scores_gemma":[0.99919474,0.00031653116,0.00009380265,0.00024571942,0.0000014974665,0.00014768065],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00011462249,0.00012051663,0.0001595247,0.000019142797,0.00007778232,0.000017907416,0.00020300152,0.000043980966,0.06531004],"category_scores_gemma":[0.00013656194,0.000066947185,0.000044577966,0.00005873866,0.00015770589,0.0001573861,0.00023313923,0.00006257558,0.00018405163],"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":[0.00019380318,0.00017670562,0.619325,0.00023810855,0.00018157705,0.000012443403,0.002929215,0.0026393095,0.00021343607,0.00013728174,0.30558896,0.06836416],"study_design_scores_gemma":[0.0010620542,0.00006251449,0.92800367,0.0000789423,0.0000143193665,0.0000013103967,0.00031827224,0.00040437307,0.0006295852,0.00065829116,0.06859892,0.00016774896],"about_ca_topic_score_codex":0.001428168,"about_ca_topic_score_gemma":0.00040053495,"teacher_disagreement_score":0.3086787,"about_ca_system_score_codex":0.00027590216,"about_ca_system_score_gemma":0.00002155224,"threshold_uncertainty_score":0.9355444},"labels":[],"label_agreement":null},{"id":"W6950406084","doi":"10.5281/zenodo.7287497","title":"D6.1c - Global Climate Governance for the Decarbonisation of the Buildings Sector","year":2022,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Horizon 2020 Framework Programme","keywords":"Transparency (behavior); Corporate governance; Global climate; Global governance; Climate change; Global warming; Greenhouse gas; Energy sector","score_opus":0.015875193091764876,"score_gpt":0.22450928223831834,"score_spread":0.20863408914655346,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6950406084","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9593708,0.00006987654,0.001070021,0.0028125786,0.00016555123,0.0012647681,0.00074396137,0.00013201944,0.034370452],"genre_scores_gemma":[0.9991898,0.000018319752,0.00009451519,0.00018143776,0.000022565699,2.9471434e-7,0.000045507943,0.00016571041,0.00028184554],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99872386,0.00020249194,0.0001602872,0.00022250158,0.0004322069,0.00025865177],"domain_scores_gemma":[0.99939084,0.000031159612,0.0001279038,0.00037923222,0.000020664906,0.00005019318],"candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00076490414,0.000080989244,0.00007039958,0.000007845733,0.002846398,0.000100001205,0.0009656133,0.00001855264,0.012099258],"category_scores_gemma":[0.00027130006,0.000059732,0.00006689487,0.00034584675,0.0003064178,0.00013428548,0.002374687,0.00012756369,0.00015533331],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0014342837,0.0018108838,0.038617656,0.0003294959,0.00020340529,0.000008660591,0.012306269,0.04681784,0.064500205,0.07934187,0.37947276,0.37515667],"study_design_scores_gemma":[0.0003376732,0.00017485312,0.15368846,0.000003176817,0.000015639363,0.000020160083,0.000692287,0.001449135,0.00070331275,0.0007236205,0.84209174,0.00009995467],"about_ca_topic_score_codex":0.00011124766,"about_ca_topic_score_gemma":0.0000019042094,"teacher_disagreement_score":0.46261895,"about_ca_system_score_codex":0.0008349252,"about_ca_system_score_gemma":0.000001988378,"threshold_uncertainty_score":0.99845177},"labels":[],"label_agreement":null},{"id":"W6959131511","doi":"10.1021/acs.est.4c02070.s001","title":"A\\nFuture Growth Model for Building More Housing and\\nInfrastructure with Less Embodied Greenhouse Gas","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Overshoot (microwave communication); Climate change; Embodied energy; Building model; Work (physics); Global warming","score_opus":0.01762145686686901,"score_gpt":0.2500719937114994,"score_spread":0.2324505368446304,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959131511","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94529855,0.0006878544,0.0016959241,0.00077771395,0.0000632575,0.0015352614,0.047356084,0.00045041207,0.0021349497],"genre_scores_gemma":[0.9939114,0.0000050796043,0.003103275,0.00022827827,0.000058208516,0.00011616535,0.0022153102,0.000055513923,0.00030676954],"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9988376,0.000012809303,0.00012167581,0.00044379407,0.00021784693,0.00036627092],"domain_scores_gemma":[0.9995914,0.000046628156,0.00003354436,0.0001981545,0.0000070097176,0.00012328253],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00004743097,0.0002290238,0.00015337665,0.000029697774,0.00019675645,0.00013645449,0.00016051761,0.00011311691,0.0097008925],"category_scores_gemma":[0.00006486868,0.00017440118,0.000060412865,0.00012595573,0.00005579682,0.0004397939,0.00020764742,0.00019568374,0.00004273592],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0006366154,0.00034960842,0.050576575,0.0073832483,0.0002933828,0.00054600876,0.023243545,0.1687801,0.0069563743,0.00088280084,0.53605396,0.20429775],"study_design_scores_gemma":[0.0013481061,0.00037840157,0.04542774,0.0017201572,0.00012898397,0.00012914395,0.0018447371,0.90795463,0.0037248877,0.007869432,0.027808513,0.0016652616],"about_ca_topic_score_codex":0.000028079096,"about_ca_topic_score_gemma":0.000039916184,"teacher_disagreement_score":0.73917454,"about_ca_system_score_codex":0.00023933743,"about_ca_system_score_gemma":0.00001884706,"threshold_uncertainty_score":0.9912044},"labels":[],"label_agreement":null},{"id":"W6959192975","doi":"10.1021/acs.est.3c00757.s001","title":"Telecoupling China’s\\nCity-Level Water Withdrawal\\nwith Distant Consumption","year":2023,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Virtual water; China; Quarter (Canadian coin); Geospatial analysis; Resource (disambiguation); Water consumption","score_opus":0.033619745945364425,"score_gpt":0.25510377452846145,"score_spread":0.22148402858309701,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6959192975","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9830794,0.000013789404,0.000008652578,0.00013798254,0.00004664059,0.0003595563,0.013946555,0.00021368911,0.002193761],"genre_scores_gemma":[0.97517365,0.000004025091,0.000053955275,0.00011226391,0.00003146384,0.00009591211,0.021960713,0.00002539777,0.0025426333],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9986091,0.000027305206,0.00017290357,0.00035526976,0.00032049313,0.00051492645],"domain_scores_gemma":[0.99946487,0.000026482208,0.00003875789,0.00031283486,0.000003892853,0.00015313782],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00012827893,0.00017758677,0.00013138518,0.000030697072,0.00031059788,0.00007960856,0.00021073114,0.0000776447,0.35241547],"category_scores_gemma":[0.00012502054,0.000129324,0.00006451897,0.00016321278,0.00005834201,0.00031026945,0.00040179494,0.00016197593,0.038244244],"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":[0.00015179868,0.00050453085,0.40818337,0.00072991947,0.000068989255,0.0003886468,0.007880555,0.011099011,0.038711805,0.000017480861,0.50372165,0.028542252],"study_design_scores_gemma":[0.00023742845,0.000047263053,0.94527584,0.00007873027,0.000005734103,0.00000754003,0.00008771072,0.0019377383,0.008526072,0.00019156336,0.04331403,0.00029036874],"about_ca_topic_score_codex":0.000089604306,"about_ca_topic_score_gemma":0.00007603512,"teacher_disagreement_score":0.53709245,"about_ca_system_score_codex":0.0003308992,"about_ca_system_score_gemma":0.0000083919085,"threshold_uncertainty_score":0.96250457},"labels":[],"label_agreement":null},{"id":"W6967974110","doi":"10.5281/zenodo.14111250","title":"Towards a mass balanced life cycle assessment database.","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Value (mathematics); Production (economics); Work (physics); Product life-cycle management; Process (computing); Mass transport; Supply chain","score_opus":0.020313953821886915,"score_gpt":0.27059192498904083,"score_spread":0.2502779711671539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6967974110","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2643084,0.00015358636,0.02773097,0.0030966145,0.00026027905,0.00090285024,0.00049201155,0.0016941298,0.7013612],"genre_scores_gemma":[0.99607015,0.000062970365,0.0011057246,0.00023940776,0.000068578986,9.145436e-8,0.0006783178,0.00055969926,0.0012150723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828464,0.0002080086,0.00018954437,0.00046129883,0.00047118388,0.00038533125],"domain_scores_gemma":[0.9992118,0.000014913218,0.000030803254,0.00044332238,0.000018793378,0.0002803934],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007127437,0.00013852367,0.00011045147,0.000061743696,0.000947337,0.0006420364,0.00062973716,0.000045059278,0.09011939],"category_scores_gemma":[0.00021115309,0.00013268291,0.00005456469,0.00041353627,0.0002479951,0.00051627966,0.0013450733,0.0002614139,0.013655938],"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":[0.000110208384,0.0006652886,0.0005790722,0.00036554286,0.00013055584,0.0001986351,0.002825765,0.002700612,0.07041114,0.007830381,0.44769412,0.4664887],"study_design_scores_gemma":[0.00023492146,0.00014992888,0.017989295,0.000019590341,0.00001356916,0.000028457418,0.00042850903,0.009280404,0.00035774437,0.00074085157,0.9705455,0.00021125913],"about_ca_topic_score_codex":0.000058590784,"about_ca_topic_score_gemma":3.7762564e-7,"teacher_disagreement_score":0.73176175,"about_ca_system_score_codex":0.0006797529,"about_ca_system_score_gemma":0.0000043380487,"threshold_uncertainty_score":0.98711205},"labels":[],"label_agreement":null},{"id":"W6968010281","doi":"10.5281/zenodo.14111251","title":"Towards a mass balanced life cycle assessment database.","year":2024,"lang":"en","type":"article","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"Environmental Impact and Sustainability","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":"Polytechnique Montréal","funders":"","keywords":"Life-cycle assessment; Value (mathematics); Production (economics); Work (physics); Product life-cycle management; Process (computing); Mass transport; Supply chain","score_opus":0.020313953821886915,"score_gpt":0.27059192498904083,"score_spread":0.2502779711671539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6968010281","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.2643084,0.00015358636,0.02773097,0.0030966145,0.00026027905,0.00090285024,0.00049201155,0.0016941298,0.7013612],"genre_scores_gemma":[0.99607015,0.000062970365,0.0011057246,0.00023940776,0.000068578986,9.145436e-8,0.0006783178,0.00055969926,0.0012150723],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99828464,0.0002080086,0.00018954437,0.00046129883,0.00047118388,0.00038533125],"domain_scores_gemma":[0.9992118,0.000014913218,0.000030803254,0.00044332238,0.000018793378,0.0002803934],"candidate_categories":["insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0007127437,0.00013852367,0.00011045147,0.000061743696,0.000947337,0.0006420364,0.00062973716,0.000045059278,0.09011939],"category_scores_gemma":[0.00021115309,0.00013268291,0.00005456469,0.00041353627,0.0002479951,0.00051627966,0.0013450733,0.0002614139,0.013655938],"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":[0.000110208384,0.0006652886,0.0005790722,0.00036554286,0.00013055584,0.0001986351,0.002825765,0.002700612,0.07041114,0.007830381,0.44769412,0.4664887],"study_design_scores_gemma":[0.00023492146,0.00014992888,0.017989295,0.000019590341,0.00001356916,0.000028457418,0.00042850903,0.009280404,0.00035774437,0.00074085157,0.9705455,0.00021125913],"about_ca_topic_score_codex":0.000058590784,"about_ca_topic_score_gemma":3.7762564e-7,"teacher_disagreement_score":0.73176175,"about_ca_system_score_codex":0.0006797529,"about_ca_system_score_gemma":0.0000043380487,"threshold_uncertainty_score":0.98711205},"labels":[],"label_agreement":null},{"id":"W6977103056","doi":"10.6084/m9.figshare.26707703.v1","title":"Additional file 1 of Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Concordia University","funders":"","keywords":"Greenhouse gas; Reduction (mathematics); Table (database); Greenhouse; Production (economics)","score_opus":0.020283990832645992,"score_gpt":0.2657595684024772,"score_spread":0.24547557756983124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977103056","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49853966,0.000017573953,3.0065213e-8,0.000005070704,0.0000065516365,0.00013971461,0.50025165,0.000006022735,0.0010337413],"genre_scores_gemma":[0.9454209,3.9914772e-7,0.000036671627,0.000003023514,0.000012532608,0.00010456376,0.054182116,0.000007980697,0.00023179754],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991527,0.000037811733,0.00020578565,0.00019072878,0.00029692843,0.0001160431],"domain_scores_gemma":[0.99949837,0.00016536324,0.00008541919,0.00015403549,0.000008041282,0.000088768014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003261457,0.00009502144,0.00013965924,0.000027768454,0.00004515226,0.000007054164,0.0000624573,0.00003524245,0.79774],"category_scores_gemma":[0.0001843948,0.00008596601,0.00002848255,0.0001351231,0.000031326676,0.00009318196,0.00014617016,0.00009545775,0.000001331511],"study_design_candidate":"not_applicable","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":[0.0000057319867,0.00025787938,0.0026211438,0.00015660241,0.000022021726,0.0003000186,0.0010164744,0.00027755526,0.00010728641,5.0365315e-8,0.99331474,0.0019204859],"study_design_scores_gemma":[0.0005638403,0.0011634077,0.91994303,0.002991254,0.000076136675,0.00048538277,0.02722553,0.013458161,0.0007208826,0.000038684113,0.03287187,0.0004618098],"about_ca_topic_score_codex":0.19247822,"about_ca_topic_score_gemma":0.04806926,"teacher_disagreement_score":0.9604429,"about_ca_system_score_codex":0.00026585237,"about_ca_system_score_gemma":0.00012790071,"threshold_uncertainty_score":0.969301},"labels":[],"label_agreement":null},{"id":"W6977263357","doi":"10.6084/m9.figshare.26707703","title":"Additional file 1 of Assessment of urban greenhouse gas emissions towards reduction planning and low-carbon city: a case study of Montreal, Canada","year":2024,"lang":"en","type":"article","venue":"Figshare","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Concordia University","funders":"","keywords":"Greenhouse gas; Reduction (mathematics); Table (database); Greenhouse; Production (economics)","score_opus":0.020283990832645992,"score_gpt":0.2657595684024772,"score_spread":0.24547557756983124,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977263357","genre_codex":"dataset","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49853966,0.000017573953,3.0065213e-8,0.000005070704,0.0000065516365,0.00013971461,0.50025165,0.000006022735,0.0010337413],"genre_scores_gemma":[0.9454209,3.9914772e-7,0.000036671627,0.000003023514,0.000012532608,0.00010456376,0.054182116,0.000007980697,0.00023179754],"study_design_codex":"not_applicable","study_design_gemma":"observational","domain_scores_codex":[0.9991527,0.000037811733,0.00020578565,0.00019072878,0.00029692843,0.0001160431],"domain_scores_gemma":[0.99949837,0.00016536324,0.00008541919,0.00015403549,0.000008041282,0.000088768014],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00003261457,0.00009502144,0.00013965924,0.000027768454,0.00004515226,0.000007054164,0.0000624573,0.00003524245,0.79774],"category_scores_gemma":[0.0001843948,0.00008596601,0.00002848255,0.0001351231,0.000031326676,0.00009318196,0.00014617016,0.00009545775,0.000001331511],"study_design_candidate":"not_applicable","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":[0.0000057319867,0.00025787938,0.0026211438,0.00015660241,0.000022021726,0.0003000186,0.0010164744,0.00027755526,0.00010728641,5.0365315e-8,0.99331474,0.0019204859],"study_design_scores_gemma":[0.0005638403,0.0011634077,0.91994303,0.002991254,0.000076136675,0.00048538277,0.02722553,0.013458161,0.0007208826,0.000038684113,0.03287187,0.0004618098],"about_ca_topic_score_codex":0.19247822,"about_ca_topic_score_gemma":0.04806926,"teacher_disagreement_score":0.9604429,"about_ca_system_score_codex":0.00026585237,"about_ca_system_score_gemma":0.00012790071,"threshold_uncertainty_score":0.969301},"labels":[],"label_agreement":null},{"id":"W6977946825","doi":"10.7281/t1/bmathh/cd4pp2","title":"10_A6.tar.017","year":2021,"lang":"en","type":"dataset","venue":"Research Data Repository, Duke University","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Prince Edward Island","funders":"","keywords":"Process (computing); Object (grammar); Relation (database); Compression (physics)","score_opus":0.08454576276723998,"score_gpt":0.3460468497917796,"score_spread":0.2615010870245396,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6977946825","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0065018213,0.00012761698,0.000007116399,0.00018524812,0.00032889866,0.00050363847,0.982911,0.000039546067,0.009395115],"genre_scores_gemma":[0.0012586905,0.0007775875,0.00014687899,0.000039349245,0.00021690353,0.000001582492,0.9825029,0.000022570317,0.015033567],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99371535,0.0013392696,0.00027127928,0.0016909282,0.0019477889,0.0010354163],"domain_scores_gemma":[0.99303526,0.00026761778,0.00013458768,0.0058907946,0.000045157576,0.0006265705],"candidate_categories":["metaepi_narrow","open_science","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0017538752,0.00037273802,0.00041901675,0.00016503189,0.0012923444,0.00023511532,0.00470985,0.00048484138,0.00448442],"category_scores_gemma":[0.00043563693,0.00040278013,0.0001338565,0.00067419984,0.0015521246,0.0010857993,0.0140180355,0.0016978013,0.0012342],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00006603114,0.000393803,0.0036944773,0.00008788565,0.000054235054,0.0030814265,0.000029046487,0.000009050511,0.0002498693,0.000003202344,0.9920863,0.00024467448],"study_design_scores_gemma":[0.0002768218,0.00008928404,0.011072561,0.000036817797,0.00005876911,0.000055514523,0.0007245548,0.000041817486,0.00011861152,0.000010583799,0.9871209,0.00039373705],"about_ca_topic_score_codex":0.024966165,"about_ca_topic_score_gemma":0.0022887774,"teacher_disagreement_score":0.022677388,"about_ca_system_score_codex":0.0040643346,"about_ca_system_score_gemma":0.0003174227,"threshold_uncertainty_score":0.9998424},"labels":[],"label_agreement":null},{"id":"W6987828422","doi":"","title":"Understanding Material Stocks in Roads at the City and Multinational Scale","year":2021,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Obstacle; Multinational corporation; Scale (ratio); Resource (disambiguation); Greenhouse gas; Climate change; Distribution (mathematics)","score_opus":0.038247935524151705,"score_gpt":0.31595471787405377,"score_spread":0.2777067823499021,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6987828422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9889693,0.00017454548,0.00007955627,0.00081010774,0.00040276328,0.0007515649,0.000035373872,0.000010620482,0.008766158],"genre_scores_gemma":[0.970706,0.00017008808,0.00008938419,0.000079993326,0.000051894127,0.000040086405,0.000299855,0.00002864978,0.02853409],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99731106,0.00030897072,0.00040001096,0.00075258914,0.0006722417,0.00055514096],"domain_scores_gemma":[0.999071,0.00015590455,0.00021192574,0.00037924908,0.000008249461,0.00017368261],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071283005,0.00041151134,0.00035319416,0.000054485496,0.0007184197,0.00017346624,0.00023513497,0.00033586985,0.024005141],"category_scores_gemma":[0.000098021905,0.0003539852,0.00010195037,0.00025724448,0.0007283351,0.00025084344,0.00052658824,0.00042816257,0.000043615102],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00066883164,0.0007219361,0.88083243,0.00023167906,0.00004513342,0.000050638886,0.07903717,0.0012464182,0.034417383,0.00014545099,0.00036425635,0.002238643],"study_design_scores_gemma":[0.00068014633,0.00008959554,0.882358,0.00007166334,0.00003949637,0.0000136544395,0.10558391,0.0009025545,0.008891695,0.000594108,0.00033389966,0.00044122947],"about_ca_topic_score_codex":0.0029868938,"about_ca_topic_score_gemma":0.014074833,"teacher_disagreement_score":0.026546745,"about_ca_system_score_codex":0.0044080177,"about_ca_system_score_gemma":0.000054604894,"threshold_uncertainty_score":0.9998912},"labels":[],"label_agreement":null},{"id":"W6990362576","doi":"","title":"Développement d'une approche intégrée pour tenir compte de la valeur patrimoniale des immeubles lors de leur réhabilitation durable","year":2023,"lang":"fr","type":"other","venue":"Archipelago (University of Quebec in Montreal)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sugar industry; Construction industry; Phase (matter)","score_opus":0.009665825622445974,"score_gpt":0.221706856300757,"score_spread":0.21204103067831104,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990362576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9746726,0.0001605646,0.0035494994,0.0012227898,0.000060094182,0.00075273577,0.00007340489,0.00008358816,0.019424703],"genre_scores_gemma":[0.84980017,0.0013999768,0.019299742,0.000045738576,0.000035824003,0.000006380052,0.00004352111,0.00016609205,0.12920254],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99647266,0.0010194477,0.00039781383,0.00072958757,0.00044155057,0.0009389184],"domain_scores_gemma":[0.99803454,0.00073873426,0.00033375554,0.0005370946,0.000016646049,0.00033920974],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012779182,0.0004801705,0.0006236671,0.00028081884,0.00032327438,0.00003589653,0.00072961656,0.00042811895,0.002166276],"category_scores_gemma":[0.00020852279,0.0005886867,0.000251346,0.00055487786,0.0029393053,0.00039354886,0.00056449283,0.0005602171,0.00044044858],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00031431898,0.0009880473,0.66557014,0.0005412824,0.00010901786,0.00021337533,0.0939696,0.010374622,0.0034083521,0.0003420615,0.0014437607,0.22272544],"study_design_scores_gemma":[0.0015054109,0.0001551278,0.89229554,0.00022898604,0.00009655643,0.000008934241,0.06908608,0.002695124,0.00011400243,0.03211407,0.0012251023,0.0004750859],"about_ca_topic_score_codex":0.8407203,"about_ca_topic_score_gemma":0.928182,"teacher_disagreement_score":0.2267254,"about_ca_system_score_codex":0.0040667714,"about_ca_system_score_gemma":0.00023206478,"threshold_uncertainty_score":0.9997741},"labels":[],"label_agreement":null},{"id":"W6990887017","doi":"","title":"The Environmental side of sustainability: using life cycle assessment to assess true performance","year":2006,"lang":"en","type":"article","venue":"NPARC","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"Athena Sustainable Materials Institute","funders":"","keywords":"Variety (cybernetics); Sewerage; Sustainability; Government (linguistics); Life-cycle assessment; Relation (database)","score_opus":0.01066711678757231,"score_gpt":0.26228781239428317,"score_spread":0.25162069560671085,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6990887017","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9822152,0.000010978126,0.00069700077,0.0005008271,0.00006283579,0.0006363339,0.000010171824,0.000021821495,0.015844818],"genre_scores_gemma":[0.9965657,0.000008485205,0.0025641536,0.00013092953,0.000039761915,0.000038306258,0.0000047257886,0.000022020638,0.00062593253],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99785674,0.00014064019,0.00043528172,0.00037343148,0.00061701436,0.0005768819],"domain_scores_gemma":[0.9989402,0.00011949229,0.00012656531,0.00060623896,0.000006517649,0.00020094162],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00071830105,0.00021573511,0.00021762145,0.00002766927,0.0004385365,0.000047178288,0.0003849158,0.00006783417,0.00095739996],"category_scores_gemma":[0.000070525864,0.00016716693,0.00010021895,0.00018961061,0.0005877743,0.00031020693,0.00047922472,0.00017092163,0.000038444243],"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":[0.000058921025,0.0004225316,0.8600664,0.000031203686,0.000012275429,0.0000052869837,0.00019522943,0.05182963,0.0723488,0.00029817797,0.0002679485,0.014463573],"study_design_scores_gemma":[0.0002724317,0.00015815308,0.9694432,0.0000047042136,0.000018947145,0.000004898809,0.0010898233,0.014831418,0.007024669,0.003967884,0.0029484776,0.00023537144],"about_ca_topic_score_codex":0.00037699012,"about_ca_topic_score_gemma":0.000052252526,"teacher_disagreement_score":0.109376796,"about_ca_system_score_codex":0.0017793867,"about_ca_system_score_gemma":0.000057731006,"threshold_uncertainty_score":0.99995583},"labels":[],"label_agreement":null},{"id":"W6999968784","doi":"","title":"Effective public consultations and follow-ups? Evaluating Montréal’s municipal public hearing processes in large-scale urban developments","year":2010,"lang":"en","type":"other","venue":"eScholarship@McGill (McGill)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Public health; Government (linguistics); Public policy; Public transport; Work (physics)","score_opus":0.018439016284013433,"score_gpt":0.25624634173604094,"score_spread":0.2378073254520275,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W6999968784","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7960259,0.00035109516,6.888813e-7,0.00004375319,0.00016788498,0.0017713994,0.0003418889,0.00019491017,0.20110248],"genre_scores_gemma":[0.9590355,0.00015342984,0.0028978651,0.00020185694,0.000022936514,0.00056123507,0.00012396049,0.00040151796,0.036601707],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9952711,0.000534865,0.0006818491,0.0013185055,0.0009098447,0.0012838499],"domain_scores_gemma":[0.9979306,0.00032688922,0.00041491503,0.0006884088,0.00004608897,0.00059313653],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0019056505,0.0007605487,0.0006988902,0.0003830455,0.0010013629,0.00019169478,0.0006089535,0.00075335527,0.0022208856],"category_scores_gemma":[0.0030551697,0.0007767425,0.000115392155,0.00096496067,0.0004325321,0.0011821128,0.0011998588,0.0015569323,0.00028121687],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016233693,0.0029704075,0.69344,0.0012131091,0.0004705504,0.00015470268,0.00096692494,0.00006706774,0.010320097,0.0020237712,0.00031592493,0.28789508],"study_design_scores_gemma":[0.006178059,0.00038547246,0.35147718,0.00052103365,0.00017520957,0.00006185569,0.0023801518,0.0002799895,0.0016465114,0.0032580781,0.6306017,0.0030347565],"about_ca_topic_score_codex":0.0037425999,"about_ca_topic_score_gemma":0.07208588,"teacher_disagreement_score":0.6302858,"about_ca_system_score_codex":0.0017474385,"about_ca_system_score_gemma":0.000062915184,"threshold_uncertainty_score":0.9994683},"labels":[],"label_agreement":null},{"id":"W7001363310","doi":"","title":"Japan proposes cutting emissions by a quarter by 2030 | KSL.com","year":2015,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Quarter (Canadian coin); Work (physics); Government (linguistics)","score_opus":0.00560733959071121,"score_gpt":0.2350124681951391,"score_spread":0.22940512860442788,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7001363310","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0020405864,0.00035278013,0.00008429342,0.00061435095,0.000089453104,0.00059472426,0.00018031742,0.00021635173,0.99582714],"genre_scores_gemma":[0.008156535,0.000030371357,0.00039086543,0.00036980526,0.000049326834,0.000026847212,0.00020037597,0.00022373506,0.9905521],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9980406,0.000087293105,0.00025137395,0.00056900043,0.0005100027,0.0005417303],"domain_scores_gemma":[0.99885535,0.000019576139,0.00013221912,0.00054289977,0.000002414237,0.00044755917],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.00021277793,0.00039776604,0.00031527365,0.000029377257,0.00010636595,0.000049111237,0.0003646793,0.00032159293,0.09831571],"category_scores_gemma":[0.000043564174,0.00030242256,0.00008196959,0.00012488333,0.00037729857,0.0001352427,0.0003038182,0.00026912725,0.0022855657],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0000035560083,0.00022409178,0.011229463,0.000017241264,0.000013821529,0.0000019774163,0.0001801623,5.4428205e-7,0.0010874775,0.0000020479872,0.9854245,0.00181507],"study_design_scores_gemma":[0.00021573628,0.00009645317,0.00024581555,0.00002393003,0.000020995876,0.0000036046897,0.00081685465,0.00002626087,0.00024688267,0.000081154096,0.9977959,0.00042642717],"about_ca_topic_score_codex":0.0034169585,"about_ca_topic_score_gemma":0.00014265129,"teacher_disagreement_score":0.09603014,"about_ca_system_score_codex":0.00049028295,"about_ca_system_score_gemma":0.000021707627,"threshold_uncertainty_score":0.9999428},"labels":[],"label_agreement":null},{"id":"W7009599876","doi":"","title":"Evaluating environmental consequences of decarbonising energy services","year":2019,"lang":"en","type":"dissertation","venue":"Knowledge UdeS (Institutional Deposit of the University of Sherbrooke)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Greenhouse gas; Livelihood; Energy (signal processing); Global warming; Production (economics); Set (abstract data type); Environmental impact assessment","score_opus":0.010801023298320942,"score_gpt":0.23196632219485064,"score_spread":0.2211652988965297,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7009599876","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9634637,0.0017448132,0.0001764223,0.000009788475,0.00026129445,0.00025237052,0.000023544657,0.000008473482,0.034059554],"genre_scores_gemma":[0.9937987,0.00028319444,0.0012429901,0.000007476506,0.000012238316,4.9085696e-7,0.000072267074,0.000012667966,0.0045699934],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9982764,0.00015801811,0.0003694896,0.00035261599,0.00063451054,0.00020896064],"domain_scores_gemma":[0.9990928,0.000059017628,0.00037207743,0.00039134762,0.000015313073,0.00006942843],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002420423,0.00025993344,0.00040764586,0.000064634805,0.00032096702,0.0000067988267,0.0007976658,0.00022938485,0.00042676297],"category_scores_gemma":[0.000018365572,0.00024201036,0.00032320345,0.000119553784,0.0013401662,0.0002464353,0.0003572284,0.00019389937,0.00002371854],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00037537873,0.0006310307,0.1063671,0.0039579934,0.00019579969,0.0000048229863,0.010710147,0.029701656,0.83831316,0.0008221987,0.000052054347,0.008868688],"study_design_scores_gemma":[0.0009723373,0.000301958,0.48494244,0.0032461642,0.0005047814,0.000012958991,0.00523837,0.009206273,0.49225265,0.0006281324,0.0021533342,0.0005405997],"about_ca_topic_score_codex":0.005251521,"about_ca_topic_score_gemma":0.0056661014,"teacher_disagreement_score":0.37857535,"about_ca_system_score_codex":0.0015001924,"about_ca_system_score_gemma":0.00009331589,"threshold_uncertainty_score":0.9868896},"labels":[],"label_agreement":null},{"id":"W7010486826","doi":"","title":"The impact of G7 countries‘ consumption of goods and services on CO2 emissions.","year":2023,"lang":"en","type":"dissertation","venue":"KTUePubl (Repository of Kaunas University of Technology)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Consumption (sociology); Per capita; Goods and services; Work (physics); Greenhouse gas; Climate change; Consumer spending","score_opus":0.004031485103675363,"score_gpt":0.22711401230874873,"score_spread":0.22308252720507335,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7010486826","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9966903,0.00023856336,8.654512e-7,0.000069425805,0.000084152045,0.00028946597,0.000046796566,0.00003704405,0.0025434203],"genre_scores_gemma":[0.99654055,0.0006257085,0.00006640503,0.0000014371042,0.0000029992334,6.0575667e-7,0.00003245566,0.000012646688,0.0027172086],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99880594,0.00005245981,0.00033281886,0.00027958746,0.00033494324,0.00019423294],"domain_scores_gemma":[0.9985166,0.00011285175,0.0007803664,0.00048543248,0.000040138828,0.00006457835],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002213063,0.0002046588,0.00042155854,0.00018276334,0.00024418352,0.000005063661,0.00053621683,0.00046205556,0.00009318885],"category_scores_gemma":[0.00003746115,0.00017519128,0.00017290066,0.0002612547,0.0016462114,0.00012335411,0.0002165212,0.0002455534,0.0000049960317],"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":[0.0010099798,0.000444447,0.9227419,0.0010759381,0.00035070264,0.000017432669,0.0027372646,0.00026050527,0.066244856,0.00032969718,0.00084579684,0.003941515],"study_design_scores_gemma":[0.00045351012,0.0006228418,0.9395296,0.00025114315,0.00012536868,0.0000033560655,0.0104225585,0.00006222669,0.047415674,0.00043832164,0.0005008012,0.000174597],"about_ca_topic_score_codex":0.0023568503,"about_ca_topic_score_gemma":0.00022941128,"teacher_disagreement_score":0.018829178,"about_ca_system_score_codex":0.0002665247,"about_ca_system_score_gemma":0.000053669995,"threshold_uncertainty_score":0.71440935},"labels":[],"label_agreement":null},{"id":"W7014725786","doi":"","title":"To reduce AI’s carbon imprint, Canada should focus on low-carbon construction materials for data centres","year":2025,"lang":"en","type":"other","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Focus (optics); Carbon fibers; Work (physics); Carbon footprint","score_opus":0.01389919681627905,"score_gpt":0.2655883196281847,"score_spread":0.25168912281190564,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7014725786","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.045740083,0.000029445097,0.000080415266,0.0027777054,0.0015246175,0.0027155569,0.0013925062,0.00012581993,0.94561386],"genre_scores_gemma":[0.31194964,0.000049673472,0.00128207,0.0017844648,0.0003457544,0.00014387877,0.0003960339,0.00030802828,0.68374044],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9977595,0.00006364417,0.00030180954,0.00090091827,0.00047576585,0.000498357],"domain_scores_gemma":[0.9982753,0.000042789212,0.00011501074,0.0013544626,0.000005263457,0.00020721811],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00022706222,0.0003853093,0.00038168236,0.00006411753,0.00005539961,0.000044960096,0.00065770285,0.00024369215,0.0070385523],"category_scores_gemma":[0.00013643448,0.00034298014,0.000037185706,0.000107599095,0.00013993164,0.00004480753,0.00073242135,0.00013851411,0.000019507792],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022665857,0.00017487671,0.0069866334,0.00022537203,0.00009343284,0.000012166235,0.000042020616,0.000056442743,0.009182209,0.00032878292,0.9624274,0.020244056],"study_design_scores_gemma":[0.0012095091,0.00025492097,0.009630786,0.0002822312,0.00018473936,0.0000055387973,0.00053284864,0.00024964943,0.14139383,0.0010202365,0.84349984,0.0017359009],"about_ca_topic_score_codex":0.9060732,"about_ca_topic_score_gemma":0.7268224,"teacher_disagreement_score":0.26620957,"about_ca_system_score_codex":0.0020131723,"about_ca_system_score_gemma":0.00022423688,"threshold_uncertainty_score":0.99990225},"labels":[],"label_agreement":null},{"id":"W7017372730","doi":"","title":"Assessing the economic feasibility of a carbon tax on energy inputs in Ontario's pulp and paper industry : an econometric analysis","year":2001,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon tax; Econometric model; Logit; Energy demand; Econometric analysis; Energy (signal processing); Coal","score_opus":0.020655198128651197,"score_gpt":0.2662539732194745,"score_spread":0.24559877509082334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7017372730","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.93161213,0.00003561423,2.3485727e-8,0.000011762172,0.00012843289,0.00039216492,0.00010030682,0.000019556004,0.067700036],"genre_scores_gemma":[0.99628216,0.000051749877,0.000034804245,0.00015389659,0.000010218865,0.00005662004,0.00023484229,0.00005567989,0.0031200263],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9961069,0.0005860858,0.0009606076,0.0012731869,0.00044994857,0.0006232407],"domain_scores_gemma":[0.99773806,0.00020535756,0.0006254056,0.0010896802,0.0000141699,0.00032734594],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014898517,0.0006193393,0.0008661165,0.00055252766,0.00040452817,0.00011908444,0.00058463163,0.0009645554,0.0022343677],"category_scores_gemma":[0.00018400684,0.0005520079,0.0002834876,0.0010533533,0.00024345299,0.0013810409,0.00022650942,0.0017692288,0.000009662133],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00020678158,0.00073217385,0.93471754,0.000054179713,0.0002930945,0.00003425165,0.00009769339,0.0068098013,0.0022746415,0.0007424197,4.8464693e-7,0.05403694],"study_design_scores_gemma":[0.0004585603,0.00019601331,0.98929256,0.000032006075,0.00030917898,0.000004258203,0.0008915242,0.00019822564,0.002635801,0.0044840914,0.0009041018,0.0005936865],"about_ca_topic_score_codex":0.2600714,"about_ca_topic_score_gemma":0.73718387,"teacher_disagreement_score":0.47711247,"about_ca_system_score_codex":0.009100174,"about_ca_system_score_gemma":0.000074773816,"threshold_uncertainty_score":0.99969316},"labels":[],"label_agreement":null},{"id":"W7020676267","doi":"","title":"Life Cycle Assessment Based Greenhouse Gas Emission Reductions, Cross Country Analysis and Algorithm Aided Prediction for Lightweighted Composite Auto Parts","year":2022,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"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":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Automotive industry; Normalization (sociology); Greenhouse gas; Life-cycle assessment; Database normalization; Data set; Set (abstract data type); Hotspot (geology)","score_opus":0.007956185983389293,"score_gpt":0.3216297176145245,"score_spread":0.3136735316311352,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7020676267","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9812853,0.00037806074,0.012296885,0.00073045737,0.0007659545,0.002829626,0.0010870497,0.00017931347,0.00044739677],"genre_scores_gemma":[0.96726036,0.0006920092,0.011264795,0.00027460762,0.00018936842,0.00090863195,0.009212668,0.00015339197,0.010044155],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99406207,0.0005431973,0.0011339328,0.0018189321,0.0014671952,0.00097465643],"domain_scores_gemma":[0.99658364,0.00029713698,0.00089439785,0.0010120001,0.00006445862,0.0011483945],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012107104,0.00091198226,0.0010351776,0.00039255142,0.0028460836,0.00041686645,0.00041830784,0.00056087,0.007724993],"category_scores_gemma":[0.00019407013,0.0009742862,0.0005431333,0.0014595273,0.00055591867,0.00068261154,0.0002717296,0.00081255403,0.0000115312105],"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":[0.004145342,0.0116611635,0.6292599,0.0019928364,0.0045389333,0.00008445272,0.02399239,0.2316689,0.038636826,0.00003816219,0.0055474737,0.04843361],"study_design_scores_gemma":[0.002012282,0.0009433561,0.5080584,0.00005441676,0.0027496845,0.00000605161,0.009074323,0.4676621,0.0035904648,0.00014503438,0.004798438,0.000905434],"about_ca_topic_score_codex":0.003548721,"about_ca_topic_score_gemma":0.0002372552,"teacher_disagreement_score":0.23599318,"about_ca_system_score_codex":0.0030730518,"about_ca_system_score_gemma":0.0003533858,"threshold_uncertainty_score":0.99927074},"labels":[],"label_agreement":null},{"id":"W7026680471","doi":"","title":"Benchmarking and target-setting for the life cycle-based environmental performance of buildings:Energy in Buildings and Communities Technology Collaboration Programme","year":2023,"lang":"en","type":"book","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Junta de Andalucía; Energistyrelsen; Bundesamt für Energie; Bundesministerium für Wirtschaft und Energie; Agence de l'Environnement et de la Maîtrise de l'Energie; Norges Forskningsråd; Mitacs; Österreichische Forschungsförderungsgesellschaft; Energimyndigheten; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission; Bundesministerium für Bildung und Forschung; Università degli Studi di Palermo; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie; Universidad de Sevilla","keywords":"Benchmarking; Work (physics); Sustainability","score_opus":0.0051294530930805615,"score_gpt":0.1901910434875715,"score_spread":0.18506159039449094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7026680471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9958946,0.00037908042,0.00014009525,0.0002344017,0.000067922985,0.0009018574,0.00010152798,0.000064587555,0.0022158925],"genre_scores_gemma":[0.98425657,0.00033356357,0.0018595364,0.00012456765,0.00003429732,0.000041477044,0.00026346362,0.00006958866,0.013016964],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.99820036,0.000034232875,0.00044151506,0.0004496448,0.00033595818,0.00053831673],"domain_scores_gemma":[0.9987651,0.00027974072,0.00048373837,0.00033419044,0.000012143448,0.00012510219],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00050742883,0.00040763893,0.00044753452,0.00032131403,0.00048410433,0.00004631475,0.00038179033,0.0003815341,0.00014550635],"category_scores_gemma":[0.000041242427,0.0003886219,0.000087894405,0.00035442243,0.0015460678,0.0003907382,0.00057291053,0.00037770826,0.0000028163533],"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":[0.00040125602,0.00019103539,0.9568085,0.00049809593,0.00016037322,0.000033465836,0.004073206,0.0062541533,0.0007391969,0.0021894588,0.0013089859,0.027342238],"study_design_scores_gemma":[0.010589442,0.005283025,0.27926406,0.0019108129,0.001349163,0.00006433866,0.11564793,0.16794403,0.0033526758,0.008616937,0.4006626,0.0053149913],"about_ca_topic_score_codex":0.00047594847,"about_ca_topic_score_gemma":0.00038424897,"teacher_disagreement_score":0.6775445,"about_ca_system_score_codex":0.0007130986,"about_ca_system_score_gemma":0.00008584519,"threshold_uncertainty_score":0.9998566},"labels":[],"label_agreement":null},{"id":"W7036234221","doi":"","title":"Canadaâs First Armoured Unit: Raymond Brutinel and the Canadian Motor Machine Gun Brigades of the First World War","year":2012,"lang":"en","type":"article","venue":"Scholars Commons (Wilfrid Laurier University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"First world war; World War II; Spanish Civil War; Government (linguistics); Colonialism; First World; SMT placement equipment","score_opus":0.007640347121641136,"score_gpt":0.18149761167010803,"score_spread":0.1738572645484669,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7036234221","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9664712,0.0003017177,0.0000034737611,0.007148481,0.00013070379,0.0005148207,0.00013641884,0.000017268936,0.025275897],"genre_scores_gemma":[0.9915637,0.000030478694,0.00006483962,0.0005145635,0.000019183388,0.0000017032559,0.0000074056206,0.000017137967,0.007780994],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9983701,0.00024325147,0.0001867991,0.00024345168,0.0003475765,0.0006087853],"domain_scores_gemma":[0.99851084,0.00014043195,0.00011852509,0.0007065854,0.000012476888,0.0005111641],"candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.0006164392,0.0002345346,0.00024123737,0.00013544592,0.0018362203,0.00004502267,0.0008234802,0.000091101065,0.00083387695],"category_scores_gemma":[0.0001022671,0.00016620898,0.0001261435,0.0007864011,0.0017479664,0.0006064447,0.0006663432,0.0005314011,0.000016468124],"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":[0.00007766521,0.0000648987,0.99521744,0.000011013278,0.000036773657,0.000009537239,0.0009894001,0.000100785765,0.00002951933,0.0010517052,0.0022215196,0.00018971914],"study_design_scores_gemma":[0.0007845191,0.000013443033,0.65137076,0.0000110905685,0.00006477517,0.000006577878,0.00058754516,0.00008311654,0.00016428532,0.000106505584,0.34664354,0.00016387744],"about_ca_topic_score_codex":0.4200216,"about_ca_topic_score_gemma":0.9576724,"teacher_disagreement_score":0.5376508,"about_ca_system_score_codex":0.00091557106,"about_ca_system_score_gemma":0.00008954966,"threshold_uncertainty_score":0.99946326},"labels":[],"label_agreement":null},{"id":"W7037812998","doi":"","title":"Energy retrofit evaluation in residential construction : a life cycle thinking approach","year":2021,"lang":"en","type":"other","venue":"cIRcle (University of British Columbia)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Life-cycle assessment; Retrofitting; Efficient energy use; Demolition; Pareto principle; Decision support system; Environmental impact assessment; Multi-objective optimization","score_opus":0.006937029790672173,"score_gpt":0.18136993297735396,"score_spread":0.17443290318668178,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7037812998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.69811535,0.00035023064,0.00052448135,0.000028320632,0.00014347368,0.00035672242,0.00004660088,0.000045778466,0.30038902],"genre_scores_gemma":[0.9524222,0.00021634808,0.0019293429,0.000034088494,0.00004817918,0.0000018701493,0.000153307,0.00007070007,0.04512396],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99821043,0.00023163033,0.00014300356,0.0005425827,0.00063133385,0.00024102577],"domain_scores_gemma":[0.99934644,0.000012119165,0.00019724197,0.00032302,0.000011498219,0.0001096609],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00039034674,0.00007093017,0.00029681364,0.00005466182,0.00011248824,0.00006176595,0.0002680641,0.00029895542,0.013662788],"category_scores_gemma":[0.000040255083,0.0002504127,0.0001090077,0.00030032982,0.0004907199,0.00017810553,0.0003236837,0.0001749104,0.000012499131],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000022627102,0.0004651585,0.190319,0.00023171281,0.00008779844,0.00018151393,0.0006345463,0.00043422275,0.000101512844,0.0000049762803,0.050556332,0.7569606],"study_design_scores_gemma":[0.0008998436,0.000024735564,0.99167806,0.00013395055,0.000051628966,0.000025765139,0.0021393476,0.0012692466,3.1497336e-7,0.0007644,0.0027634855,0.00024920105],"about_ca_topic_score_codex":0.5286901,"about_ca_topic_score_gemma":0.6333916,"teacher_disagreement_score":0.80135906,"about_ca_system_score_codex":0.0006652079,"about_ca_system_score_gemma":0.000071465336,"threshold_uncertainty_score":0.9999948},"labels":[],"label_agreement":null},{"id":"W7045478237","doi":"","title":"Assessing whole life carbon impacts of retrofitting Canada's 19th and early 20th century homes towards net-zero.","year":2025,"lang":"en","type":"article","venue":"Open Access Institutional Repository at Robert Gordon University (Robert Gordon University)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Greenhouse gas; Baseline (sea); Government (linguistics); Sustainability; Legislation; Climate change; Embodied energy; Payback period","score_opus":0.009091982216980626,"score_gpt":0.24444103379464607,"score_spread":0.23534905157766545,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7045478237","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7907822,0.00012561717,0.00018483268,0.0003596396,0.00029876526,0.00045035395,0.000025828556,0.000032871776,0.2077399],"genre_scores_gemma":[0.983299,0.00013210943,0.00034611035,0.0001611616,0.00002135869,5.153285e-7,0.000030773877,0.000014827193,0.015994135],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99721956,0.00028589656,0.00038184214,0.00087873347,0.0006475113,0.0005864716],"domain_scores_gemma":[0.99833435,0.00011618156,0.00039727901,0.00055997877,0.00007343964,0.00051878236],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.00032239637,0.00041322416,0.0005456335,0.00029313797,0.0017413597,0.00036661152,0.001818525,0.00023268581,0.00017154047],"category_scores_gemma":[0.00012433298,0.00047594897,0.00013851252,0.001128409,0.0010136868,0.004023607,0.0057430924,0.0003882472,0.0000026178295],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004793163,0.00022660974,0.987386,0.00011688656,0.00015010215,0.0006425901,0.00018596032,0.0021957897,0.0037822127,0.001989274,0.0008929943,0.0019522929],"study_design_scores_gemma":[0.0014460048,0.00007847697,0.88505924,0.00016341778,0.00014673421,0.000027404407,0.0014299367,0.00037622012,0.0027176123,0.000061380226,0.10793475,0.0005587963],"about_ca_topic_score_codex":0.68835866,"about_ca_topic_score_gemma":0.14000493,"teacher_disagreement_score":0.54835373,"about_ca_system_score_codex":0.0066460758,"about_ca_system_score_gemma":0.0015150415,"threshold_uncertainty_score":0.9997692},"labels":[],"label_agreement":null},{"id":"W7076053301","doi":"10.1257/jep.20241430","title":"Carbon Rollercoaster: A Historical Analysis of Decarbonization in the United States","year":2025,"lang":"en","type":"article","venue":"The Journal of Economic Perspectives","topic":"Environmental Impact and Sustainability","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":"Université de Montréal","funders":"","keywords":"Greenhouse gas; Carbon fibers; Electricity; Electricity system; Climate change; Low-carbon economy","score_opus":0.007061984514245225,"score_gpt":0.24695602786299536,"score_spread":0.23989404334875014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7076053301","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99568075,0.0002435437,0.00012229224,0.001272584,0.000031483767,0.00007367613,0.000001042456,0.0000012297272,0.0025733889],"genre_scores_gemma":[0.99955773,0.00020904925,0.000018137198,0.00006797892,0.000008549346,8.3114463e-7,6.536007e-7,0.0000022439071,0.00013480363],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99919623,0.00023883874,0.00031373755,0.00006946942,0.000087003864,0.00009472233],"domain_scores_gemma":[0.9994127,0.00019860652,0.00019700202,0.00016597708,0.000006997644,0.00001868773],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00095507374,0.00006640854,0.00020225362,0.00021775048,0.00003755233,0.0000087356275,0.00027755185,0.000023238123,0.000109239736],"category_scores_gemma":[0.000044179516,0.000038324044,0.00009738514,0.00052685477,0.00016043428,0.00008716539,0.000056142333,0.00011811789,6.738183e-7],"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":[0.00021245966,0.00023172815,0.718936,0.0000033226288,0.00032460783,0.000002088065,0.043420162,0.23565273,0.00040644495,0.0002462592,0.0001711584,0.0003930038],"study_design_scores_gemma":[0.00033981362,0.0001090186,0.9112117,0.000005013941,0.00036659208,0.0000031626673,0.05487115,0.030437209,0.00008804835,0.002195095,0.00031275745,0.000060431914],"about_ca_topic_score_codex":0.003807782,"about_ca_topic_score_gemma":0.0009912958,"teacher_disagreement_score":0.20521551,"about_ca_system_score_codex":0.0020485707,"about_ca_system_score_gemma":0.000017880264,"threshold_uncertainty_score":0.57562524},"labels":[],"label_agreement":null},{"id":"W7092190739","doi":"10.1007/978-3-031-97693-3_15","title":"Transforming Existing Communities into Net-Zero Status: A Life Cycle Thinking-Based Framework to Identify the Most Suitable Building Retrofits","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"","keywords":"Retrofitting; Selection (genetic algorithm); Life-cycle assessment; Global warming; Climate change; Energy consumption","score_opus":0.01045458200782959,"score_gpt":0.2556808417559584,"score_spread":0.2452262597481288,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7092190739","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.07567514,0.001724669,0.887714,0.00095876004,0.00067365065,0.001740404,0.00005086518,0.00035147404,0.031111026],"genre_scores_gemma":[0.9844523,0.000056095017,0.013299608,0.0013123347,0.00009018885,0.00005828673,0.000030489326,0.00011350023,0.00058716116],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9973648,0.000055756085,0.0005740278,0.00048248243,0.0006218253,0.0009011001],"domain_scores_gemma":[0.99725485,0.0015790068,0.0001162247,0.0008190508,0.000012454919,0.00021839651],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008087497,0.0006475678,0.0005493173,0.00021079817,0.00045462814,0.00020474092,0.0008216429,0.0005678613,0.0006518357],"category_scores_gemma":[0.0010999598,0.0005849528,0.00017171816,0.00033838718,0.00017528835,0.0002277131,0.0005443177,0.0021242162,0.000016547003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000019590012,0.000020628584,0.0046103066,0.00032133315,0.000040005,0.0000163988,0.0074111545,0.9801537,0.0004662455,0.0016703334,0.000039500348,0.0052308184],"study_design_scores_gemma":[0.002983834,0.0009333823,0.03090062,0.022375936,0.0007737702,0.000032775653,0.0025393332,0.35990727,0.009498835,0.42995647,0.12942149,0.010676273],"about_ca_topic_score_codex":0.0023538803,"about_ca_topic_score_gemma":0.003992028,"teacher_disagreement_score":0.9087772,"about_ca_system_score_codex":0.0017306212,"about_ca_system_score_gemma":0.000066092805,"threshold_uncertainty_score":0.9996602},"labels":[],"label_agreement":null},{"id":"W7094260470","doi":"","title":"Regional environmental life cycle consequences of material substitutions : the case of increasing wood structures for non-residential buildings","year":2021,"lang":"en","type":"article","venue":"Corpus Université Laval (Université Laval)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Substitution (logic); Resource (disambiguation); Life-cycle assessment; Scale (ratio); Environmental impact assessment; Originality; Structural type","score_opus":0.007336355059946376,"score_gpt":0.19985400688590813,"score_spread":0.19251765182596176,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7094260470","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99739367,0.00010806999,0.00024461417,0.00061763776,0.000121646124,0.00034711522,0.00028697008,0.000018551302,0.0008617464],"genre_scores_gemma":[0.99851334,0.00016971755,0.00074170745,0.00005170615,0.000033819513,0.0000013991563,0.000053612144,0.000014702207,0.00042000876],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9985854,0.00015110365,0.00024881656,0.0003907264,0.00029640904,0.00032754135],"domain_scores_gemma":[0.9989821,0.00017715475,0.0002591381,0.00036976795,0.000023336635,0.00018853146],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002117812,0.00022116996,0.00029446985,0.00006885855,0.0006361327,0.00002449162,0.0004044185,0.0001247042,0.00061676855],"category_scores_gemma":[0.00005699084,0.00021051362,0.00023511762,0.00025574127,0.001389273,0.0003930687,0.0005140926,0.00013285522,0.0000029130283],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00079112063,0.00023620746,0.054581102,0.000057440742,0.00015585283,0.0008976936,0.005337871,0.001612475,0.9285609,0.0052103777,0.00029728012,0.0022616875],"study_design_scores_gemma":[0.003176205,0.0003783607,0.22631279,0.00004151989,0.00064197206,0.0018037172,0.03833623,0.00049658475,0.72119653,0.0035239842,0.0034296867,0.00066241453],"about_ca_topic_score_codex":0.018482398,"about_ca_topic_score_gemma":0.0029064552,"teacher_disagreement_score":0.20736435,"about_ca_system_score_codex":0.0005844753,"about_ca_system_score_gemma":0.00013738434,"threshold_uncertainty_score":0.9880536},"labels":[],"label_agreement":null},{"id":"W7098465686","doi":"","title":"How Information and Communications Technologies Can Support Education for Sustainable Development: Current uses and trends","year":2008,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Champion; Negotiation; Sustainable development; Sustainability; Natural resource; Capacity building; Developing country; Information and Communications Technology","score_opus":0.01731569506599526,"score_gpt":0.2564972235098762,"score_spread":0.23918152844388094,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7098465686","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98838335,0.00025173026,0.000643907,0.0036200294,0.000017993389,0.0004483707,0.0000048757133,0.00010098435,0.0065287454],"genre_scores_gemma":[0.990147,0.00039990016,0.0051223626,0.00006371466,0.000002064972,0.00012873819,0.00006169601,0.000003647619,0.004070864],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99947906,0.000010684634,0.00012420947,0.00010834757,0.000086589454,0.00019113284],"domain_scores_gemma":[0.99962246,0.000021764536,0.000049809165,0.00024137025,0.000011939899,0.000052667103],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000106983796,0.00009052272,0.00007279126,0.00006846878,0.0004415629,0.000063583575,0.00013099317,0.000040629937,0.00003417033],"category_scores_gemma":[0.00007081612,0.000078512545,0.000012032906,0.00012709056,0.00044017797,0.0010691951,0.00033434862,0.00005502883,0.0000024355704],"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":[0.000006753544,0.00012844607,0.2878031,0.0000616113,0.0000034586708,1.9765527e-7,0.003163564,0.0000014901104,0.000031257023,0.0021190583,0.0037034852,0.7029776],"study_design_scores_gemma":[0.0002497647,0.000071068316,0.48850307,0.0000029791186,0.000008103075,0.000016078304,0.023969434,0.000069273185,0.001020291,0.0014051493,0.48449057,0.00019421979],"about_ca_topic_score_codex":0.00012967005,"about_ca_topic_score_gemma":0.00010709693,"teacher_disagreement_score":0.70278335,"about_ca_system_score_codex":0.0002442547,"about_ca_system_score_gemma":0.00004145224,"threshold_uncertainty_score":0.33961895},"labels":[],"label_agreement":null},{"id":"W7099076947","doi":"","title":"Comparative Life Cycle Assessment (LCA) of Base Load Electricity Generation in Ontario","year":2008,"lang":"en","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Electricity generation; Electricity; Life-cycle assessment; Base (topology); Mains electricity","score_opus":0.03294482811109792,"score_gpt":0.2721055639400206,"score_spread":0.2391607358289227,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7099076947","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9498237,0.000007060831,0.0005720587,0.0000622741,0.0000164362,0.00024697863,0.0000010183339,0.000009059767,0.049261414],"genre_scores_gemma":[0.9959624,0.0000054956267,0.0018545813,0.00015789348,0.000006498016,0.000011595823,0.0000074691657,0.0000036552906,0.0019904228],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99888295,0.000081682716,0.00025153215,0.00022254359,0.0003499764,0.00021129125],"domain_scores_gemma":[0.99962,0.000022448869,0.00006096755,0.00018463108,0.0000056739173,0.00010623115],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00024305147,0.0001094684,0.00019232737,0.00002251464,0.0000761605,0.000005373255,0.00009619739,0.0000443233,0.0057087317],"category_scores_gemma":[0.000017955872,0.00009714022,0.000042689226,0.0001553914,0.00017506837,0.000262876,0.000079832076,0.00014665209,0.00005104364],"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":[0.000018981671,0.0005536052,0.9680688,0.0000018422841,0.0000048648576,0.000006389624,0.0017735517,0.017916027,0.010725403,0.00004910088,0.0007441881,0.0001372435],"study_design_scores_gemma":[0.00036869384,0.00012732495,0.97015715,8.018332e-7,0.00000324855,0.0000022602917,0.00016856159,0.017196357,0.01154651,0.00012617589,0.00019146579,0.00011146222],"about_ca_topic_score_codex":0.1173318,"about_ca_topic_score_gemma":0.22720285,"teacher_disagreement_score":0.109871045,"about_ca_system_score_codex":0.0023524489,"about_ca_system_score_gemma":0.00013230307,"threshold_uncertainty_score":0.99520016},"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":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99620926,0.0009123644,0.000031350486,0.0006915492,0.000031613494,0.0012172958,0.0003764754,0.000023833018,0.0005062637],"genre_scores_gemma":[0.9982065,0.0005148891,0.0000533731,0.00041151463,0.000011922492,0.000104424216,0.000030198897,0.000038311107,0.00062889524],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99605143,0.00063165557,0.0009195914,0.0010532644,0.00054567005,0.00079838594],"domain_scores_gemma":[0.9973377,0.00089935766,0.00037186162,0.0010184766,0.0000045339716,0.00036807187],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0010979802,0.00067783764,0.00070442486,0.00027669326,0.0007135243,0.00007619574,0.00035581805,0.00031074247,0.00083432],"category_scores_gemma":[0.00019149098,0.00055258005,0.00017607048,0.00025721523,0.009187676,0.0005061684,0.00131883,0.0003986517,0.0000021333396],"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":[0.0005104968,0.00091508933,0.97722095,0.00022062374,0.00007911366,0.00005569123,0.0014359754,0.000075659635,0.00077402266,0.00092652824,0.00006353528,0.017722312],"study_design_scores_gemma":[0.0011304426,0.00057583966,0.9586386,0.000020451524,0.00013475161,0.00008539405,0.024125107,0.0006219966,0.0028558678,0.0054673096,0.005852525,0.000491714],"about_ca_topic_score_codex":0.0020476491,"about_ca_topic_score_gemma":0.00011287692,"teacher_disagreement_score":0.02268913,"about_ca_system_score_codex":0.0019854642,"about_ca_system_score_gemma":0.000080217316,"threshold_uncertainty_score":0.99969256},"labels":[],"label_agreement":null},{"id":"W7106301376","doi":"10.1007/978-3-032-01078-0_29","title":"Decarbonization Strategies for the Structural Design of Reinforced Concrete Buildings","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Concordia University","funders":"","keywords":"Embodied energy; Greenhouse gas; Reinforced concrete; Component (thermodynamics); Slab; Demolition; Foundation (evidence); Reuse; Reduction (mathematics)","score_opus":0.00754296509201646,"score_gpt":0.21268631391422285,"score_spread":0.2051433488222064,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7106301376","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.0018662455,0.0004569561,0.98945457,0.000059108177,0.00017032986,0.0010464123,0.000016759761,0.000041408184,0.0068882057],"genre_scores_gemma":[0.99113053,0.00006242353,0.0067330594,0.00006362571,0.00004589427,0.000032001088,0.00001807006,0.000042138898,0.0018722315],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9990189,0.000008257051,0.00029525472,0.0002469764,0.00018972956,0.00024089245],"domain_scores_gemma":[0.99891365,0.0006583936,0.00010603059,0.00028207334,0.000008558979,0.00003126939],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001965543,0.00028346124,0.00027433416,0.000059304493,0.000051416257,0.000029692777,0.00025378863,0.00024919503,0.00027316582],"category_scores_gemma":[0.00022260145,0.00022245174,0.00009613801,0.000071501105,0.00013084215,0.00011605213,0.00011524326,0.00028230026,9.06795e-7],"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":[0.00001821801,2.6859485e-7,0.00012567517,0.00010929371,0.000023897897,0.0000011050807,0.00025191237,0.989809,0.0026060205,0.005147919,0.000017234077,0.0018894679],"study_design_scores_gemma":[0.0005988452,0.00016876395,0.0009583334,0.0003013042,0.00013359758,0.000005307408,0.000027619679,0.9643383,0.007503016,0.022308912,0.0029156809,0.00074034045],"about_ca_topic_score_codex":0.0000831384,"about_ca_topic_score_gemma":0.000051021387,"teacher_disagreement_score":0.9892643,"about_ca_system_score_codex":0.00037127236,"about_ca_system_score_gemma":0.000030860592,"threshold_uncertainty_score":0.90713185},"labels":[],"label_agreement":null},{"id":"W7111617489","doi":"","title":"Kyoto Protocol’s Carbon Dioxide Emission Reduction Effects Analysis-An Application of Rolling Regression","year":2013,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Kyoto Protocol; Kuznets curve; Developing country; Panel data; Turning point; Greenhouse gas; Treaty","score_opus":0.0048294228100280515,"score_gpt":0.2874002119388287,"score_spread":0.2825707891288006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7111617489","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95179695,0.000007999493,0.00031064078,0.000008253285,0.00006668493,0.037546802,0.0000013956197,0.00006598156,0.010195272],"genre_scores_gemma":[0.95312583,0.00000495745,0.0008548072,0.0000071242193,0.000048308662,0.034228794,0.0006824404,0.000043472133,0.011004279],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99747247,0.00019148705,0.0006013865,0.0007468952,0.0006777599,0.0003099982],"domain_scores_gemma":[0.9983224,0.000026904028,0.0006129599,0.00079430337,0.000023156455,0.00022027193],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003789751,0.0003898684,0.00052834075,0.0001711526,0.00012690728,0.000025103547,0.00029655962,0.00044624158,0.00058779604],"category_scores_gemma":[0.00004883873,0.0003018711,0.0002354979,0.0006393091,0.00009283186,0.00038366532,0.000072198236,0.00027990757,0.000036967696],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00035150698,0.0006661472,0.08583167,0.000636743,0.00012087413,0.0000014273351,0.0012393474,0.0028199623,0.87610006,0.000015316129,0.000085489206,0.032131445],"study_design_scores_gemma":[0.0004731196,0.00032394778,0.38887092,0.00010117609,0.0005490263,0.0000012310943,0.0015107819,0.014687408,0.59197414,0.00064676144,0.00028462612,0.0005768692],"about_ca_topic_score_codex":0.0040860754,"about_ca_topic_score_gemma":0.00023564772,"teacher_disagreement_score":0.30303925,"about_ca_system_score_codex":0.00062365405,"about_ca_system_score_gemma":0.000019383,"threshold_uncertainty_score":0.9999433},"labels":[],"label_agreement":null},{"id":"W7113065846","doi":"","title":"Deliveries in a sustainable way: A mapping of emissions, documentation, and follow-up. : Presentation of sustainability work done by delivery partners of ByggDialog","year":2023,"lang":"sv","type":"article","venue":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Styrelsen för Internationellt Utvecklingssamarbete","keywords":"Turnkey; Work (physics); Sustainability; Quarter (Canadian coin); Presentation (obstetrics); Point (geometry); Greenhouse gas; Fossil fuel; Petroleum industry","score_opus":0.01467996180802859,"score_gpt":0.2767269811591827,"score_spread":0.2620470193511541,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113065846","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99330664,0.00064956746,0.0004845969,0.0026160837,0.00009009249,0.0018295748,0.0005937883,0.00007409051,0.0003555699],"genre_scores_gemma":[0.994688,0.00082712364,0.001505703,0.000021440821,0.0000066429757,0.00017134691,0.0011584337,0.000021568254,0.0015997885],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99606717,0.00018291289,0.0016179055,0.0007813796,0.0006628016,0.0006878525],"domain_scores_gemma":[0.99699587,0.00014605476,0.0011552359,0.0011249576,0.00040010634,0.00017775739],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0015416506,0.0003686525,0.00073069765,0.0010065691,0.00019431104,0.000034537392,0.0007017719,0.00037624867,0.00026240203],"category_scores_gemma":[0.0030027328,0.0003928846,0.00012155152,0.0040541533,0.003269893,0.0019097722,0.001511846,0.0003225921,0.000004432418],"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":[0.0004785937,0.0011044813,0.95277894,0.002601079,0.00011650242,0.0000125818415,0.0024433064,0.0013348592,0.014354638,0.0043249214,0.008276068,0.012174054],"study_design_scores_gemma":[0.005481408,0.000652733,0.80528086,0.0006145103,0.00024655898,0.000003468884,0.07192082,0.002192447,0.08653833,0.0042255484,0.021851439,0.0009918441],"about_ca_topic_score_codex":0.007178194,"about_ca_topic_score_gemma":0.00015936796,"teacher_disagreement_score":0.14749803,"about_ca_system_score_codex":0.00070759555,"about_ca_system_score_gemma":0.00028278504,"threshold_uncertainty_score":0.9998523},"labels":[],"label_agreement":null},{"id":"W7113544978","doi":"","title":"Who Gains from Credited Forest Carbon Sinks: Finland and other Annex I Countries in Comparison","year":2003,"lang":"en","type":"other","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon sink; Kyoto Protocol; Computable general equilibrium; Carbon fibers; Carbon credit; Sink (geography); Greenhouse gas; Forest management","score_opus":0.01940329985433154,"score_gpt":0.2949467435644025,"score_spread":0.27554344371007095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7113544978","genre_codex":"other","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.49129927,0.00029773812,3.2468503e-7,0.000050005616,0.000053137974,0.00047060844,0.00008609735,0.0000125909355,0.50773025],"genre_scores_gemma":[0.68766415,0.0064709033,0.00030437083,0.0004068759,0.0002093887,0.00014132183,0.00008122637,0.00053097337,0.30419078],"study_design_codex":"observational","study_design_gemma":"not_applicable","domain_scores_codex":[0.9976645,0.00026251323,0.00038935966,0.00071373954,0.00026012352,0.0007097281],"domain_scores_gemma":[0.9989021,0.00023139396,0.00011859742,0.0005564908,0.0000027284757,0.0001886799],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000677993,0.00031221812,0.0005279383,0.00021088414,0.00006353901,0.00007064428,0.00028592334,0.00044051465,0.0033290219],"category_scores_gemma":[0.00013119377,0.0003158143,0.000046452053,0.00012428375,0.0010271254,0.00007952277,0.00027233904,0.0006328567,0.000037495138],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00005203494,0.00012983764,0.9917359,0.00003016203,0.000019264491,0.000019994932,0.00047571,0.0005274349,0.000014561774,0.000011382971,0.003485863,0.003497903],"study_design_scores_gemma":[0.00095087464,0.00010865501,0.38340828,0.00011593308,0.000006528336,0.0000019250872,0.0011325335,0.0032090056,0.00002214739,0.00034152053,0.6102455,0.0004570998],"about_ca_topic_score_codex":0.008559625,"about_ca_topic_score_gemma":0.031315576,"teacher_disagreement_score":0.60832757,"about_ca_system_score_codex":0.0013778373,"about_ca_system_score_gemma":0.000044966568,"threshold_uncertainty_score":0.99992937},"labels":[],"label_agreement":null},{"id":"W7114348357","doi":"","title":"Are the G20 economies making enough progress to meet their NDC targets?","year":2019,"lang":"en","type":"article","venue":"RePEc: Research Papers in Economics","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Per capita; Climate change; Variety (cybernetics); Unit (ring theory); Global warming; Consumption (sociology)","score_opus":0.017749552265084106,"score_gpt":0.29049004931812694,"score_spread":0.2727404970530428,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114348357","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9199919,0.000053265743,4.085701e-7,0.0018082461,0.00009487413,0.0009663602,0.000013181036,0.000019525858,0.07705222],"genre_scores_gemma":[0.99688596,0.00011008893,0.0001745366,0.00047585546,0.000048199556,0.00013519952,0.00000219012,0.000031600084,0.0021363485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99780905,0.00020295694,0.00031845085,0.00059981225,0.0001932277,0.00087647146],"domain_scores_gemma":[0.9985788,0.0002992762,0.00010682716,0.00084335374,0.0000063656703,0.00016538151],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0014915568,0.00020791269,0.00026036022,0.000071773466,0.00024805157,0.00009314555,0.0007336201,0.00010042935,0.0012291181],"category_scores_gemma":[0.00017845284,0.00015623134,0.00009498444,0.00014665078,0.00059111376,0.00030991377,0.00094542257,0.0003239058,0.00032114875],"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":[0.0000692828,0.000105625826,0.9553172,0.000018617602,0.0000132526875,0.0000075646635,0.0012879913,0.0047245547,0.000153238,0.00016646192,0.00022055693,0.037915647],"study_design_scores_gemma":[0.00032768675,0.0001505838,0.8819425,0.000025294898,0.000002073816,0.000006551939,0.011490168,0.001217569,0.00069322356,0.0013635851,0.102457464,0.00032326792],"about_ca_topic_score_codex":0.00005301384,"about_ca_topic_score_gemma":0.0006421661,"teacher_disagreement_score":0.10223691,"about_ca_system_score_codex":0.0016932976,"about_ca_system_score_gemma":0.00002888923,"threshold_uncertainty_score":0.9996839},"labels":[],"label_agreement":null},{"id":"W7114899594","doi":"10.2139/ssrn.5907618","title":"Enhancing climate impact assessment with surface albedo effects of land cover changes: Methodology and dataset","year":2025,"lang":"","type":"preprint","venue":"SSRN Electronic Journal","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Polytechnique Montréal","funders":"","keywords":"Albedo (alchemy); Land cover; Greenhouse gas; Climate change; Climate model; Impact assessment; Cloud albedo","score_opus":0.01043767431385395,"score_gpt":0.31950431456348305,"score_spread":0.3090666402496291,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7114899594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9755379,0.0036175526,0.017856399,0.00038329887,0.0002561309,0.0013244355,0.00074555684,0.000012103036,0.00026661385],"genre_scores_gemma":[0.9453393,0.050899737,0.0028508487,0.0001141149,0.000073387324,0.000017464623,0.00024268831,0.000045616947,0.00041682765],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9905202,0.001996312,0.0008813922,0.0011218387,0.00081447687,0.0046657715],"domain_scores_gemma":[0.99635476,0.0011411654,0.0011268222,0.0009177532,0.000030961888,0.00042852917],"candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.009110962,0.00094351807,0.0014733422,0.00015544592,0.00049360277,0.00013401556,0.00077548815,0.0004913389,0.00049424754],"category_scores_gemma":[0.00020060127,0.00072812167,0.00024570408,0.00029462224,0.0008646207,0.0004277501,0.0018584814,0.0051376275,0.000013641901],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0022499876,0.0013488921,0.91167307,0.003055366,0.0033976855,0.00008410936,0.0025137216,0.029678393,0.027117487,0.00084602175,0.00008775199,0.017947514],"study_design_scores_gemma":[0.013524609,0.024143027,0.84761393,0.0028966384,0.0049331295,0.0030811024,0.010071964,0.003718707,0.036768544,0.04751749,0.0012905368,0.004440327],"about_ca_topic_score_codex":0.0034212344,"about_ca_topic_score_gemma":0.00750011,"teacher_disagreement_score":0.064059146,"about_ca_system_score_codex":0.007940863,"about_ca_system_score_gemma":0.0022785235,"threshold_uncertainty_score":0.99951696},"labels":[],"label_agreement":null},{"id":"W7115429735","doi":"","title":"Rules for assessment and declaration of buildings with net-zero GHG-emissions: an international survey – A Contribution to IEA EBC Annex 72:Energy in Buildings and Communities Technology Collaboration Programme","year":2023,"lang":"en","type":"book-chapter","venue":"Pure (University of Bath)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"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":"Junta de Andalucía; Energistyrelsen; Bundesamt für Energie; Bundesministerium für Wirtschaft und Energie; Agence de l'Environnement et de la Maîtrise de l'Energie; Norges Forskningsråd; Mitacs; Österreichische Forschungsförderungsgesellschaft; Energimyndigheten; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission; Bundesministerium für Bildung und Forschung; Università degli Studi di Palermo; Bundesministerium für Klimaschutz, Umwelt, Energie, Mobilität, Innovation und Technologie; Universidad de Sevilla","keywords":"Greenhouse gas; Context (archaeology); Sustainability; Upstream (networking); Declaration; Life-cycle assessment; Sustainable development; Order (exchange)","score_opus":0.02095295711973889,"score_gpt":0.2493806147274708,"score_spread":0.22842765760773193,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7115429735","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9894173,0.000032412223,0.008220064,0.0006228373,0.000022693514,0.00066870527,0.0003175011,0.000025697358,0.0006727796],"genre_scores_gemma":[0.99096876,0.0002324553,0.005682996,0.000019074383,0.0000044437807,0.0000054732145,0.0005608905,0.000015358837,0.0025105707],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99918735,0.000042985546,0.0001537635,0.0002437974,0.00020560662,0.00016651761],"domain_scores_gemma":[0.9993972,0.00007115229,0.00020694651,0.00016636853,0.00007568012,0.00008263343],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046514996,0.00015331469,0.00026458982,0.00021272388,0.00015151706,0.00002338454,0.00018718193,0.0002220426,0.00004000741],"category_scores_gemma":[0.00003709106,0.00017048261,0.000022778067,0.00012213214,0.00045094732,0.00039639973,0.00028522732,0.00011733858,4.4667468e-7],"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":[0.001991173,0.0006429041,0.7168842,0.0002688694,0.0002640452,0.000024898885,0.0070373905,0.0010403699,0.0073899343,0.16718844,0.0004484937,0.0968193],"study_design_scores_gemma":[0.0028959461,0.002709211,0.9167559,0.00039377058,0.00013701744,0.000012537257,0.015210124,0.0044218367,0.00024083663,0.036797427,0.019650472,0.0007748897],"about_ca_topic_score_codex":0.0029972382,"about_ca_topic_score_gemma":0.011258345,"teacher_disagreement_score":0.19987173,"about_ca_system_score_codex":0.00039499416,"about_ca_system_score_gemma":0.000036967063,"threshold_uncertainty_score":0.6952079},"labels":[],"label_agreement":null},{"id":"W7116279706","doi":"10.1016/j.scsadv.2025.100020","title":"Social entropic risk potential in Lima’s concrete production: A social life cycle assessment using social hotspot database","year":2025,"lang":"en","type":"article","venue":"Sustainable Cities and Society Advances","topic":"Environmental Impact and Sustainability","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":"Fonds de Recherche du Québec-Société et Culture; Faculty of Engineering, McGill University; McGill University","keywords":"Life-cycle assessment; Social risk; Hotspot (geology); Relevance (law); Risk assessment; Social life; Production (economics)","score_opus":0.006030600545477943,"score_gpt":0.27537727929068967,"score_spread":0.26934667874521173,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116279706","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936319,0.00069738,0.0005936958,0.001869902,0.00015031389,0.000553256,0.00003277373,0.000049074042,0.0024217034],"genre_scores_gemma":[0.99547166,0.00067882886,0.0009687733,0.00033826192,0.0002539579,0.000054094395,0.000020548398,0.000017991078,0.0021958717],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975739,0.00024124562,0.00037018623,0.000588261,0.00039319904,0.0008332191],"domain_scores_gemma":[0.9995266,0.00003896277,0.00017354742,0.00014221798,0.00002869204,0.000089981346],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0006435144,0.00028950497,0.00038536885,0.000041436382,0.0023874159,0.00014531722,0.00018655794,0.00015889514,0.00026072198],"category_scores_gemma":[0.00007207518,0.00030097095,0.00019953666,0.00041756724,0.001340223,0.0011582947,0.00055336277,0.0004278677,0.0000015752443],"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":[0.001093362,0.0009690604,0.79171926,0.00432592,0.0006537603,0.00021900007,0.10234752,0.01624123,0.0048961183,0.03992865,0.015601162,0.022004975],"study_design_scores_gemma":[0.002354817,0.00010644264,0.5135411,0.000024570185,0.00016940938,0.0000029543621,0.43872717,0.0055024875,0.0001113494,0.021229517,0.01743381,0.00079640874],"about_ca_topic_score_codex":0.0015535192,"about_ca_topic_score_gemma":0.000056775345,"teacher_disagreement_score":0.33637965,"about_ca_system_score_codex":0.0015647985,"about_ca_system_score_gemma":0.00015409304,"threshold_uncertainty_score":0.99994427},"labels":[],"label_agreement":null},{"id":"W7116760576","doi":"10.1016/j.enbuild.2025.116905","title":"Assessing the carbon peak challenge in extremely cold regions: Scenario analysis of building emissions via an integrated Kaya-LMDI-SD framework","year":2025,"lang":"en","type":"article","venue":"Energy and Buildings","topic":"Environmental Impact and Sustainability","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":"Université de Sherbrooke","funders":"National Key Research and Development Program of China","keywords":"Divisia index; Per capita; Scenario analysis; Greenhouse gas; Energy consumption; Carbon fibers; Baseline (sea); Emission intensity; Energy intensity","score_opus":0.01315020254211998,"score_gpt":0.28802860580433376,"score_spread":0.2748784032622138,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116760576","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9886329,0.00045380057,0.0083184,0.0008083752,0.00004386916,0.000094253795,0.0000016747997,0.000024054116,0.0016226381],"genre_scores_gemma":[0.9976436,0.00020425809,0.001588837,0.0002213401,0.0000109516695,0.0000152125895,0.000005531024,0.000009634637,0.0003006454],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9985161,0.00019049506,0.00033562322,0.00042169497,0.00021912823,0.00031699488],"domain_scores_gemma":[0.9991512,0.00020724867,0.00011836987,0.0004078181,0.00000896754,0.00010643502],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059390836,0.00019433598,0.0003122587,0.00019390216,0.00025222584,0.00006673298,0.00029613092,0.00017288834,0.000118388445],"category_scores_gemma":[0.00015404112,0.00014254828,0.00009524898,0.0014980691,0.00041380693,0.00033659872,0.0002618535,0.00027239253,1.4668254e-7],"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":[0.00009867905,0.0010286852,0.80486244,0.00004849068,0.00037133513,0.000030820447,0.005046576,0.02759111,0.07388383,0.032244716,0.000109456756,0.054683834],"study_design_scores_gemma":[0.0006510883,0.00021127313,0.8004406,0.00042690185,0.0007633505,0.0000041683516,0.009415746,0.13236123,0.011747564,0.02674021,0.016454808,0.00078303635],"about_ca_topic_score_codex":0.0074181636,"about_ca_topic_score_gemma":0.0015992181,"teacher_disagreement_score":0.104770124,"about_ca_system_score_codex":0.00030776992,"about_ca_system_score_gemma":0.000023274446,"threshold_uncertainty_score":0.9991915},"labels":[],"label_agreement":null},{"id":"W7116857349","doi":"10.1088/1755-1315/1554/1/012106","title":"How is net zero whole-life carbon of buildings assessed and implemented?","year":2025,"lang":"","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":"École de Technologie Supérieure; Université du Québec à Montréal","funders":"","keywords":"Greenhouse gas; Scope (computer science); Life-cycle assessment; Climate change; Global warming; Sustainability; Real estate; Carbon accounting; Normative; Earth system science","score_opus":0.010156299280680181,"score_gpt":0.23258841851487388,"score_spread":0.2224321192341937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116857349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9904013,0.0012722085,0.00013631867,0.0031481762,0.00022092035,0.0008532518,0.00032252804,0.00002390708,0.0036213642],"genre_scores_gemma":[0.99170744,0.002958213,0.0005950177,0.0005802058,0.000017878374,0.000021267231,0.000012953258,0.000021028227,0.0040860125],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99496377,0.00011213608,0.0007213367,0.0016536604,0.0011555073,0.0013935799],"domain_scores_gemma":[0.9977708,0.00006739944,0.0003717314,0.00082830683,0.000016475611,0.0009453009],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008117195,0.0007377374,0.00074469973,0.00021240392,0.0009609865,0.0006923315,0.00081971136,0.00023908544,0.0011175491],"category_scores_gemma":[0.0001253047,0.0007222679,0.00011093085,0.0007539852,0.014139182,0.0023975477,0.002245031,0.00041892988,0.000008529164],"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":[0.0001847304,0.00032658497,0.23898998,0.00023413503,0.00005267828,0.000010808228,0.003274522,0.00002231313,0.70621806,0.0008645993,0.000083666426,0.049737927],"study_design_scores_gemma":[0.0011830013,0.00085377827,0.6941106,0.00011429638,0.00010128002,0.000022379114,0.020740595,0.0012347361,0.26972023,0.0010876694,0.01002829,0.0008031824],"about_ca_topic_score_codex":0.00095987576,"about_ca_topic_score_gemma":0.00010242217,"teacher_disagreement_score":0.4551206,"about_ca_system_score_codex":0.0003247423,"about_ca_system_score_gemma":0.0002255071,"threshold_uncertainty_score":0.99979556},"labels":[],"label_agreement":null},{"id":"W7116892954","doi":"10.1088/1755-1315/1554/1/012132","title":"A State of Play Review of Methods to Define Net Zero Carbon Buildings","year":2025,"lang":"","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"École de Technologie Supérieure","funders":"","keywords":"Greenhouse gas; Carbon fibers; Limit (mathematics); Bridge (graph theory); Carbon credit; Range (aeronautics); Climate change","score_opus":0.012895087139577698,"score_gpt":0.2814784304295919,"score_spread":0.2685833432900142,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116892954","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98207605,0.008621802,0.0008391169,0.0007104872,0.0002187175,0.0012936135,0.0002084448,0.000014758748,0.0060170186],"genre_scores_gemma":[0.9533608,0.03336439,0.010923921,0.0006817239,0.000006202699,0.000026820984,0.0000064345027,0.000016525166,0.0016131822],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99520206,0.00024744874,0.001233918,0.0012707214,0.0009453825,0.0011004648],"domain_scores_gemma":[0.9977102,0.000111002504,0.0004693325,0.00097362575,0.000023573295,0.0007122372],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0024808396,0.0006040629,0.0010249714,0.00022343938,0.00036830155,0.00007913504,0.0010393579,0.00011909162,0.0015748424],"category_scores_gemma":[0.0003197427,0.00057303894,0.00015632744,0.0013807436,0.008821281,0.0009149176,0.0021100417,0.00032704134,0.000015440473],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0001978237,0.00032248397,0.021422839,0.0021479724,0.00003282969,0.0000047285,0.0016376231,0.00020428468,0.6965797,0.00036570462,0.000036362602,0.27704766],"study_design_scores_gemma":[0.00043832968,0.001098396,0.37312847,0.0024322462,0.00010642174,0.000016346921,0.0010891334,0.00028879868,0.6150219,0.00082857616,0.0049577192,0.00059363653],"about_ca_topic_score_codex":0.0009615122,"about_ca_topic_score_gemma":0.000071153154,"teacher_disagreement_score":0.35170564,"about_ca_system_score_codex":0.0003561886,"about_ca_system_score_gemma":0.000222158,"threshold_uncertainty_score":0.9996721},"labels":[],"label_agreement":null},{"id":"W7116988852","doi":"10.1088/1755-1315/1554/1/012002","title":"Evaluating the Embodied Carbon Emission of Building Wood Waste: A Case Study of Deconstruction vs. Demolition in Canada","year":2025,"lang":"","type":"article","venue":"IOP Conference Series Earth and Environmental Science","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Deconstruction (building); Demolition; Life-cycle assessment; Carbon fibers; Embodied energy; Embodied cognition","score_opus":0.016481981443881497,"score_gpt":0.269093482989672,"score_spread":0.2526115015457905,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7116988852","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9977898,0.00014842873,0.000006333132,0.0001029913,0.0002137189,0.0011668319,0.00003134121,0.000004194584,0.0005363793],"genre_scores_gemma":[0.99952614,0.00016427565,0.00015308021,0.000029353692,0.00000823925,0.000023651455,0.0000015257228,0.000008223424,0.00008553493],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99616784,0.00030632078,0.0009495038,0.00084626215,0.0010236326,0.0007064614],"domain_scores_gemma":[0.9986158,0.00011438887,0.00042179742,0.00059220404,0.000013698897,0.00024208645],"candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.0013967317,0.00037247644,0.00048790753,0.00014368871,0.0007189841,0.000069472626,0.00048027514,0.00008886635,0.00026669737],"category_scores_gemma":[0.00012621337,0.00031295425,0.00004771897,0.0007825586,0.0035518187,0.0007492503,0.0008995321,0.00034401624,2.7754572e-7],"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":[0.00032985015,0.0004684093,0.6365288,0.00012427554,0.000020443793,0.00009015535,0.008525037,0.0030310831,0.27574247,0.00005500045,4.83759e-7,0.07508399],"study_design_scores_gemma":[0.001270375,0.0014589085,0.5414172,0.00017468965,0.000080264705,0.00025172657,0.2800279,0.02860562,0.14609556,0.00025644858,0.000005063376,0.0003562424],"about_ca_topic_score_codex":0.6660962,"about_ca_topic_score_gemma":0.50223374,"teacher_disagreement_score":0.27150285,"about_ca_system_score_codex":0.0012994685,"about_ca_system_score_gemma":0.0007965663,"threshold_uncertainty_score":0.9999322},"labels":[],"label_agreement":null},{"id":"W7117106493","doi":"10.1038/s41597-025-06301-0","title":"National human footprint maps for Peru and Ecuador","year":2025,"lang":"en","type":"article","venue":"Scientific Data","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Northern British Columbia","funders":"","keywords":"Biodiversity; Land cover; Footprint; Ecological footprint; Population; Land use; Population pressure; Sustainable development","score_opus":0.035932136756059996,"score_gpt":0.32784292886499244,"score_spread":0.29191079210893245,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117106493","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97097766,0.000046461697,0.00054167485,0.000907059,0.00039819934,0.0006081333,0.0015281856,0.000033575736,0.024959022],"genre_scores_gemma":[0.9773007,0.0000011793248,0.0017087235,0.00012571982,0.000014143755,0.000018156437,0.00089085614,0.000004335591,0.019936174],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9988133,0.000019988272,0.00013123,0.0005808036,0.0002487452,0.0002059571],"domain_scores_gemma":[0.9991598,0.000034282675,0.000025996442,0.0007071472,0.0000074329487,0.00006534183],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011160262,0.000078382036,0.00007081252,0.000037561153,0.00049729506,0.00016677011,0.0005814605,0.000029924278,0.00040335287],"category_scores_gemma":[0.00016957533,0.000071248476,0.000020206371,0.00015721616,0.0006554683,0.00024666305,0.0014858247,0.000049579096,0.000046289406],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000045745575,0.00064112566,0.20749663,0.000156115,0.000039880004,0.0000038994717,0.00054619653,0.00011393532,0.038923007,0.009297628,0.6505877,0.09214818],"study_design_scores_gemma":[0.0005768048,0.00003693657,0.45110184,0.000011407945,0.00002021799,0.0000018427315,0.0005225091,0.0015858638,0.002925095,0.052550647,0.49044067,0.00022618595],"about_ca_topic_score_codex":0.00006059072,"about_ca_topic_score_gemma":0.00017204357,"teacher_disagreement_score":0.2436052,"about_ca_system_score_codex":0.00016481552,"about_ca_system_score_gemma":0.000022999295,"threshold_uncertainty_score":0.44164312},"labels":[],"label_agreement":null},{"id":"W7117252841","doi":"10.5267/j.ijiec.2025.12.005","title":"Carbon emission accounting method for enterprises considering green electricity and green certificate consumption","year":2025,"lang":"","type":"article","venue":"International Journal of Industrial Engineering Computations","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Electricity; Renewable energy; Green consumption; Carbon accounting; Greenhouse gas; Consumption (sociology); Accounting method; Certificate; Electricity generation","score_opus":0.04527030584948785,"score_gpt":0.31537188834889335,"score_spread":0.2701015824994055,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117252841","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7820513,0.0003094102,0.21295519,0.0024127695,0.0016836731,0.0004599423,0.000041556148,0.00002121657,0.00006491295],"genre_scores_gemma":[0.99191654,0.000091019756,0.0073728566,0.00008911495,0.00036849748,0.000007835692,0.0000066081634,0.000019666764,0.00012786253],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9978077,0.0000886007,0.0010326129,0.00029742607,0.00046343263,0.00031026237],"domain_scores_gemma":[0.9982169,0.0007981284,0.0005465498,0.000117022355,0.00015664764,0.00016471957],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009639359,0.0002710862,0.00037529288,0.00042545752,0.00016223143,0.00018942208,0.00037715552,0.00021400157,0.0000610853],"category_scores_gemma":[0.00075861154,0.0002853862,0.00017998602,0.00023780658,0.0001145804,0.00043082397,0.00023525112,0.0005410068,0.0000010149296],"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":[0.00090503285,0.0004949524,0.29466778,0.00022122031,0.0013095174,0.00005253496,0.0015738643,0.3523655,0.06599972,0.00031288416,0.00032071123,0.28177628],"study_design_scores_gemma":[0.0038070993,0.00026230697,0.048718397,0.0007923812,0.00036243332,0.00014341711,0.00036074902,0.9283016,0.012820731,0.0018656107,0.002109755,0.00045556205],"about_ca_topic_score_codex":0.00055773585,"about_ca_topic_score_gemma":0.000008377773,"teacher_disagreement_score":0.5759361,"about_ca_system_score_codex":0.0010301583,"about_ca_system_score_gemma":0.00012960304,"threshold_uncertainty_score":0.9999598},"labels":[],"label_agreement":null},{"id":"W7117998673","doi":"10.1007/978-3-032-01074-2_14","title":"Embodied Carbon Feasibility Study of University of Ottawa’s Civil Engineering Building","year":2025,"lang":"en","type":"book-chapter","venue":"Lecture notes in civil engineering","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Greenhouse gas; Carbon fibers; Life-cycle assessment; Demolition; Global warming; Structural system; Embodied energy","score_opus":0.006920588206628988,"score_gpt":0.20149528830666585,"score_spread":0.19457470010003686,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117998673","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8465155,0.0007035707,0.017389921,0.00004833738,0.00050426665,0.0024742733,0.000061516424,0.00020360124,0.13209902],"genre_scores_gemma":[0.9984113,0.000022191509,0.00074868,0.000005362151,0.000021799095,0.000001956913,0.0000056085173,0.000044121072,0.0007389696],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.998092,0.00003267644,0.00048671445,0.0005931051,0.0004137237,0.00038181286],"domain_scores_gemma":[0.99870044,0.00032212355,0.00017981099,0.0006884708,0.000012669013,0.00009647528],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004673038,0.00047479576,0.000745405,0.0002168047,0.00003390494,0.000007286482,0.00042654187,0.0003677664,0.00046576833],"category_scores_gemma":[0.00031408962,0.0005516825,0.0001721035,0.00018874397,0.00010741365,0.00008466105,0.00047631355,0.000693578,0.000001337097],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000041881096,0.00027662943,0.08447874,0.00065032707,0.000109120636,0.000051253068,0.0013567479,0.9083954,0.0033377234,0.00032250103,0.000009303941,0.0009703653],"study_design_scores_gemma":[0.008920843,0.002649595,0.70044005,0.0040227543,0.0013676536,0.000026831918,0.0006061398,0.2468993,0.013029062,0.0070317164,0.008180434,0.006825606],"about_ca_topic_score_codex":0.0012352437,"about_ca_topic_score_gemma":0.008358967,"teacher_disagreement_score":0.6614961,"about_ca_system_score_codex":0.00123551,"about_ca_system_score_gemma":0.000028057499,"threshold_uncertainty_score":0.99969345},"labels":[],"label_agreement":null},{"id":"W7120778121","doi":"","title":"Working conditions in the forestry sector in Minas Gerais: an evaluation of the social life cycle","year":2025,"lang":"pt","type":"dissertation","venue":"LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Social security; Public sector; Scale (ratio); Sample (material); Life-cycle assessment; Quarter (Canadian coin); Impact assessment; Economic sector; Relevance (law)","score_opus":0.03335303540508039,"score_gpt":0.29441841009128905,"score_spread":0.26106537468620866,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7120778121","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.968486,0.00022740211,0.000026549358,0.0038229793,0.0007549412,0.0016947784,0.00007581175,0.000027319149,0.024884189],"genre_scores_gemma":[0.9981818,0.000036859223,0.000059698967,0.00019560735,0.00017050972,0.0005705647,0.0005474682,0.00003301337,0.0002044495],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","domain_scores_codex":[0.9928798,0.0024718696,0.0011415319,0.0008380849,0.0019389183,0.0007297835],"domain_scores_gemma":[0.9978473,0.0003469438,0.0007051584,0.0007827039,0.00012459159,0.00019329824],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002807798,0.00054160436,0.0005505107,0.0003477755,0.0010759804,0.00017668298,0.0012766321,0.0008440184,0.0002340771],"category_scores_gemma":[0.001073225,0.00043280638,0.00033305294,0.0014779472,0.000097747296,0.0005479401,0.00025094498,0.0012428408,0.0000050067238],"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":[0.0016780548,0.013262368,0.30778077,0.0013186282,0.0004916388,0.00014708718,0.20816918,0.028830815,0.0106397,0.4071994,0.00093815033,0.0195442],"study_design_scores_gemma":[0.001533684,0.00006432232,0.9494189,0.0003911668,0.00023489654,0.00003783263,0.02558272,0.006975187,0.00037805078,0.0015614773,0.013321132,0.0005005991],"about_ca_topic_score_codex":0.000058596892,"about_ca_topic_score_gemma":0.009524194,"teacher_disagreement_score":0.64163816,"about_ca_system_score_codex":0.0028441704,"about_ca_system_score_gemma":0.0011186709,"threshold_uncertainty_score":0.99981236},"labels":[],"label_agreement":null},{"id":"W7126241781","doi":"10.46254/wc02.20250024","title":"An Integrated LCA and IEOM Framework for Coal Power Plants in Emerging Economies","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Benchmarking; Coal; Life-cycle assessment; Emerging markets; Thermal power station; Strategic environmental assessment; Environmental impact assessment; Efficient energy use","score_opus":0.006995252610104096,"score_gpt":0.27776454896226627,"score_spread":0.2707692963521622,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7126241781","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98428255,0.00028372384,0.007984535,0.0012859307,0.00028030903,0.0009159994,0.000115169954,0.000025920268,0.0048258845],"genre_scores_gemma":[0.9909465,0.00026162,0.006134531,0.00081323314,0.000012225329,0.000037461716,0.000010790113,0.000016312186,0.0017673485],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9979042,0.000086910455,0.0005034116,0.00071533356,0.00011963372,0.00067055493],"domain_scores_gemma":[0.9989203,0.00022800306,0.00007528181,0.00055943645,0.0000036356053,0.0002133347],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055343885,0.0003412872,0.00038167767,0.00011394745,0.00025252608,0.00015972086,0.00039213145,0.00029008265,0.004203994],"category_scores_gemma":[0.00014693607,0.00032166333,0.00007232923,0.00016750608,0.00062030903,0.0007082335,0.00036802623,0.0003280246,0.00002240001],"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":[0.00056408363,0.00072247797,0.9480164,0.000087411,0.00004487393,0.000008797634,0.0038475315,0.001162153,0.0004916655,0.006102426,0.00063199084,0.0383202],"study_design_scores_gemma":[0.00134507,0.00046182342,0.894584,0.00011125135,0.000022895543,0.0000021472242,0.032331046,0.009827874,0.0028063145,0.050051637,0.007935082,0.000520886],"about_ca_topic_score_codex":0.00087463827,"about_ca_topic_score_gemma":0.0009902304,"teacher_disagreement_score":0.053432416,"about_ca_system_score_codex":0.00081180094,"about_ca_system_score_gemma":0.000041541836,"threshold_uncertainty_score":0.9999235},"labels":[],"label_agreement":null},{"id":"W7127207551","doi":"","title":"Assessing whole life carbon impacts of retrofitting Canada’s 19th and early 20th century homes towards net-zero","year":2025,"lang":"en","type":"article","venue":"Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Retrofitting; Greenhouse gas; Baseline (sea); Government (linguistics); Sustainability; Legislation; Climate change; Embodied energy; Payback period","score_opus":0.004098658242542038,"score_gpt":0.23383730617552925,"score_spread":0.2297386479329872,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127207551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9583123,0.00032311797,0.00044452105,0.0010644941,0.00019054455,0.0002514896,0.000028849685,0.000056361147,0.03932837],"genre_scores_gemma":[0.99756944,0.00018788433,0.00092956703,0.00035976424,0.000059696937,0.0000023169735,0.00001005293,0.00002715721,0.000854104],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9971134,0.00037374377,0.00039231323,0.00062938576,0.000634558,0.0008565806],"domain_scores_gemma":[0.9982044,0.00025120945,0.00032145958,0.00048998394,0.00004773781,0.00068517204],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0006252181,0.0003880154,0.0005073011,0.00024103424,0.00048264494,0.00016321134,0.00053227646,0.00030094048,0.000052780142],"category_scores_gemma":[0.00023152179,0.00043745936,0.0001645486,0.00075052126,0.000757382,0.00080220297,0.0005531934,0.00052250514,0.0000012052243],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00022015607,0.00014714681,0.93950135,0.000117863,0.00021145718,0.0007067444,0.001534196,0.00054565875,0.05057594,0.0031021235,0.0015991852,0.0017381918],"study_design_scores_gemma":[0.0011593512,0.00010877235,0.9672974,0.00020005101,0.00017509755,0.000119363875,0.0070555485,0.0010226804,0.0038145883,0.0002521105,0.018332478,0.0004625557],"about_ca_topic_score_codex":0.54402965,"about_ca_topic_score_gemma":0.022832593,"teacher_disagreement_score":0.5211971,"about_ca_system_score_codex":0.005665062,"about_ca_system_score_gemma":0.0023041398,"threshold_uncertainty_score":0.9998077},"labels":[],"label_agreement":null},{"id":"W7127915228","doi":"10.22260/crc-csce-2025/0096","title":"Carbon Footprint Assessment Model for Sustainable Construction Sites","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"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":"Oak Ridge National Laboratory; World Business Council for Sustainable Development; Natural Resources Canada; U.S. Department of Energy","keywords":"Carbon footprint; Sustainability; Life-cycle assessment; Sustainable development; Environmental impact assessment; Production (economics)","score_opus":0.00990605178563663,"score_gpt":0.2822011027783817,"score_spread":0.27229505099274504,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127915228","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7077461,0.00012423984,0.090297334,0.0015057416,0.0001806326,0.003006478,0.000014371252,0.000073291994,0.19705181],"genre_scores_gemma":[0.8921681,0.000076659446,0.016291995,0.0002216606,0.000023310233,0.00019786494,0.000008269669,0.000022124423,0.09099001],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9967771,0.00007930138,0.0006443755,0.00092607964,0.000391352,0.0011817964],"domain_scores_gemma":[0.9987288,0.000108957625,0.00014528092,0.00072295254,0.00004732227,0.0002466853],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0008605196,0.00045515614,0.00043031148,0.00012100512,0.0006189645,0.00021425346,0.00037381938,0.00027289437,0.0008100001],"category_scores_gemma":[0.000106698004,0.00045279923,0.0002636127,0.00039426066,0.0009057819,0.0002663026,0.0008178494,0.0002870193,0.0000075553703],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0003868485,0.0018300755,0.53436625,0.0014360602,0.00023832367,0.000014712676,0.0010903244,0.13375288,0.016034944,0.24039617,0.00065238675,0.06980103],"study_design_scores_gemma":[0.0012659751,0.00025877482,0.069553755,0.000021268279,0.00016450352,0.0000023275654,0.013060994,0.82057625,0.008709873,0.08423369,0.0016141089,0.00053846836],"about_ca_topic_score_codex":0.00089469465,"about_ca_topic_score_gemma":0.00013326423,"teacher_disagreement_score":0.68682337,"about_ca_system_score_codex":0.00471018,"about_ca_system_score_gemma":0.00026783545,"threshold_uncertainty_score":0.9997924},"labels":[],"label_agreement":null},{"id":"W7127950618","doi":"10.22260/crc-csce-2025/0032","title":"Embodied Carbon Optimization for Residential Building Design through Strategic Low-Carbon Material Configurations","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Building design; Carbon fibers; Design methods; Work (physics); Production (economics)","score_opus":0.023404746823559093,"score_gpt":0.28302743814709147,"score_spread":0.2596226913235324,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127950618","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.60778964,0.0000991789,0.29080057,0.0010240761,0.0019315076,0.005153959,0.000085998276,0.0001393928,0.09297569],"genre_scores_gemma":[0.9686624,0.00011150221,0.028272081,0.00020385774,0.0001498442,0.00019350754,0.000045841058,0.000042052034,0.0023189087],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963358,0.00031861966,0.0009608882,0.0010084409,0.00044181215,0.0009344344],"domain_scores_gemma":[0.9987385,0.00017305407,0.00024658808,0.0006386127,0.000034055298,0.00016914295],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0006940542,0.000554017,0.0004970994,0.000098339355,0.0006557294,0.00048216005,0.000446775,0.00041368595,0.00526058],"category_scores_gemma":[0.000100466365,0.00057313894,0.00019246613,0.00044045295,0.00064611225,0.0006429314,0.0002675561,0.00021029546,0.000008935851],"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":[0.0017514877,0.0010205694,0.0019836153,0.00047342558,0.00021711506,0.000013674713,0.0012073036,0.8054665,0.16573942,0.02090491,0.00029361717,0.00092836906],"study_design_scores_gemma":[0.002645349,0.00061271817,0.0037691265,0.00012532577,0.0004305116,0.000003239876,0.0035073145,0.71110123,0.23753102,0.039182656,0.00008900526,0.0010024734],"about_ca_topic_score_codex":0.0016669651,"about_ca_topic_score_gemma":0.0001091168,"teacher_disagreement_score":0.36087278,"about_ca_system_score_codex":0.0014609587,"about_ca_system_score_gemma":0.00020056679,"threshold_uncertainty_score":0.999672},"labels":[],"label_agreement":null},{"id":"W7127987248","doi":"10.22260/crc-csce-2025/0200","title":"Comprehensive Life Cycle Assessment of Building Materials: A Comparative LCA of Hybrid Steel/Timber Structure with Reduced Timber Design","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Life-cycle assessment; Component (thermodynamics); Production (economics); Process (computing)","score_opus":0.021045998857450555,"score_gpt":0.31332039981103105,"score_spread":0.2922744009535805,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7127987248","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.97942525,0.00012453436,0.012927181,0.00016172334,0.00019606308,0.0021170191,0.0002592367,0.000023631586,0.004765382],"genre_scores_gemma":[0.9634896,0.000039637096,0.035524398,0.0001931168,0.000017936474,0.000025924923,0.0000141414075,0.000030077561,0.00066516374],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99545515,0.00074181653,0.001274374,0.00092663,0.00085822045,0.0007437976],"domain_scores_gemma":[0.9976988,0.00033895794,0.00065957446,0.00091370195,0.0000879108,0.0003010516],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.000448387,0.0007002845,0.0014396495,0.00013125286,0.00024545207,0.000080834005,0.000557584,0.0001554388,0.014576605],"category_scores_gemma":[0.00003373194,0.00056231336,0.00015155849,0.00055277377,0.0019687128,0.00053529395,0.00070623885,0.00034335465,0.000010135094],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0009896152,0.0010478491,0.026318485,0.0005872645,0.00059983134,0.000016634816,0.0013853235,0.31812632,0.64937675,0.00058718916,0.00058940647,0.0003753188],"study_design_scores_gemma":[0.0016166684,0.0007447132,0.32941023,0.00021113342,0.00024640502,0.00001054441,0.004668394,0.014414157,0.6473443,0.00074856944,0.000089616165,0.0004953046],"about_ca_topic_score_codex":0.00059157173,"about_ca_topic_score_gemma":0.000020652398,"teacher_disagreement_score":0.30371216,"about_ca_system_score_codex":0.00093765004,"about_ca_system_score_gemma":0.00030676916,"threshold_uncertainty_score":0.99968284},"labels":[],"label_agreement":null},{"id":"W7128046551","doi":"10.22260/crc-csce-2025/0056","title":"Integrating Life Cycle Assessment in Space Layout Planning for Minimizing the Embodied Carbon Emissions of Modular Buildings - Identification of Influencing Factors","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"National Research Council Canada","keywords":"Modular design; Identification (biology); Life-cycle assessment; Space (punctuation); Greenhouse gas; Key (lock)","score_opus":0.013896283314393163,"score_gpt":0.3078509308082128,"score_spread":0.2939546474938196,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128046551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98759544,0.00017823704,0.006818182,0.00047490327,0.00013772893,0.0013102283,0.000021362812,0.000013755232,0.003450158],"genre_scores_gemma":[0.997194,0.00001935029,0.0023957475,0.000052007163,0.0000090048015,0.000043598135,0.000005540942,0.000018111918,0.0002626348],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99683756,0.00018519466,0.0014603398,0.0005506248,0.0004548808,0.0005114294],"domain_scores_gemma":[0.9979509,0.0006025669,0.0006987288,0.0005873867,0.000030382826,0.00013002352],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0017880939,0.0003325106,0.00053733494,0.00017698863,0.00030596173,0.000061722836,0.0005084121,0.0001844662,0.00009069901],"category_scores_gemma":[0.0010926125,0.00025417365,0.00020263212,0.0006199398,0.00048001646,0.00036316863,0.00045279553,0.00039194804,2.8274553e-7],"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":[0.000039357205,0.00022213047,0.6574354,0.00027740598,0.000043279542,3.813704e-7,0.012750148,0.10992958,0.21719943,0.0012271219,0.000006667918,0.00086905854],"study_design_scores_gemma":[0.0004668444,0.000083115316,0.6284091,0.0003673649,0.00008221552,1.5419876e-7,0.10493541,0.18731907,0.0767132,0.0014023635,0.000016029075,0.0002051737],"about_ca_topic_score_codex":0.0041574035,"about_ca_topic_score_gemma":0.00009944255,"teacher_disagreement_score":0.14048623,"about_ca_system_score_codex":0.0011065428,"about_ca_system_score_gemma":0.00016555707,"threshold_uncertainty_score":0.99999106},"labels":[],"label_agreement":null},{"id":"W7128049098","doi":"10.22260/crc-csce-2025/0137","title":"Towards Circular Construction: End-of-Life Scenario Analysis of Steel Structures Using Sustainable Life Cycle Approach","year":2025,"lang":"","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Scenario analysis; Scenario planning; Work (physics); Sustainability; Life-cycle assessment","score_opus":0.014071187471586956,"score_gpt":0.26322227132837406,"score_spread":0.2491510838567871,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7128049098","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94714856,0.0010562176,0.021500979,0.00013292626,0.00015016597,0.00094635057,0.00007482961,0.000027056376,0.02896292],"genre_scores_gemma":[0.98879963,0.000105409905,0.0097355135,0.00020086912,0.00002678595,0.000008686048,0.00002094636,0.000023806158,0.0010783512],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9947726,0.00035640332,0.0016107153,0.0010793206,0.0011057358,0.0010752045],"domain_scores_gemma":[0.9972951,0.000087811655,0.00064053235,0.0013370999,0.0000916205,0.0005478657],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0010562495,0.0006090095,0.0015621256,0.00070666336,0.0004999107,0.00010494682,0.00075719546,0.0004297582,0.011078692],"category_scores_gemma":[0.00037426548,0.0005891658,0.0008588512,0.0044088135,0.0037372466,0.0007253648,0.0011224613,0.00039807532,0.0000034809993],"study_design_candidate":"observational","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00016546201,0.0007057501,0.47706985,0.0010490897,0.0028184436,0.000006811566,0.0012937618,0.49505264,0.0023435943,0.015487532,0.000032175292,0.0039748964],"study_design_scores_gemma":[0.001209641,0.00013648381,0.7613267,0.00002561117,0.0043645147,0.000004791261,0.058268,0.16294038,0.006712818,0.0039367443,0.00037270336,0.0007016046],"about_ca_topic_score_codex":0.012433314,"about_ca_topic_score_gemma":0.000056124987,"teacher_disagreement_score":0.33211225,"about_ca_system_score_codex":0.001808191,"about_ca_system_score_gemma":0.0009255079,"threshold_uncertainty_score":0.99965596},"labels":[],"label_agreement":null},{"id":"W7132160334","doi":"","title":"Proceeding of International Workshop on Life Cycle Assessment for Design and Management of Sustainable","year":2019,"lang":"en","type":"book","venue":"NPARC","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":true,"route_about_ca":false,"ca_institutions":"","funders":"","keywords":"Life-cycle assessment; Product life-cycle management; Sustainable development; Sustainability; Sustainable management","score_opus":0.015520105463709721,"score_gpt":0.2743381147851033,"score_spread":0.25881800932139354,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132160334","genre_codex":"other","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"other","genre_consensus":"other","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.01518718,0.000025231908,0.010940205,0.00022177273,0.000093885144,0.002842857,0.00002014708,0.000011621061,0.9706571],"genre_scores_gemma":[0.23432975,0.000185979,0.030103834,0.00007724835,0.000037400936,0.00015181115,0.000035781828,0.000042480267,0.7350357],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9988131,0.000015753025,0.00026294935,0.00029758847,0.00038956088,0.00022108418],"domain_scores_gemma":[0.9994126,0.000100853395,0.00020940289,0.00019107216,0.000014219853,0.000071850416],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004449958,0.00016987804,0.00024727784,0.00005141148,0.00003963323,0.000015365862,0.0002311166,0.000095401476,0.0009889207],"category_scores_gemma":[0.000020870391,0.0001605224,0.00007063372,0.00003783745,0.00016903579,0.00012133411,0.00033958137,0.000108413595,0.000006151067],"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":[0.002917311,0.004233244,0.0647749,0.018172862,0.0025131635,0.00007400237,0.0042019715,0.074452616,0.0064808694,0.46033102,0.25057667,0.11127137],"study_design_scores_gemma":[0.009109954,0.0037078066,0.15294908,0.0025862039,0.0009792804,0.0000065550835,0.01905337,0.03654574,0.00355313,0.50771105,0.26071712,0.003080682],"about_ca_topic_score_codex":0.000004400525,"about_ca_topic_score_gemma":1.780508e-7,"teacher_disagreement_score":0.2356214,"about_ca_system_score_codex":0.00070097746,"about_ca_system_score_gemma":0.000041300296,"threshold_uncertainty_score":0.9999243},"labels":[],"label_agreement":null},{"id":"W7132860081","doi":"","title":"Evaluation of Energy Efficiency Measures in High-rise Buildings from a Life Cycle Greenhouse Gas Emissions Perspective","year":2020,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Greenhouse gas; Efficient energy use; Embodied energy; Offset (computer science); Global warming; Climate change; Greenhouse","score_opus":0.019364531689687752,"score_gpt":0.31197470372261754,"score_spread":0.29261017203292977,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132860081","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9893601,0.0024963492,0.00041449867,0.0008751344,0.00022733798,0.0010509129,0.000053551095,0.000040516377,0.0054816045],"genre_scores_gemma":[0.9980438,0.0007164349,0.0003547935,0.00007450185,0.00007408054,0.0001001174,0.000115439594,0.00008044146,0.00044041395],"study_design_codex":"qualitative","study_design_gemma":"observational","domain_scores_codex":[0.9923293,0.001196625,0.0009477607,0.0014753778,0.003326845,0.0007240646],"domain_scores_gemma":[0.9973698,0.00022643173,0.00077310664,0.00077921554,0.00015897576,0.0006924391],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0017011926,0.0007428832,0.00091418985,0.00020939928,0.00029290782,0.00006228916,0.00071501633,0.00054719154,0.007567475],"category_scores_gemma":[0.002932749,0.00077429134,0.00031773665,0.0010217576,0.0005572178,0.00039975424,0.00029342755,0.00065128406,0.000076059936],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0026741012,0.010734669,0.06767895,0.00025871894,0.00055894523,0.00006710372,0.47811228,0.14916432,0.21794644,0.0013712448,0.0005083289,0.07092491],"study_design_scores_gemma":[0.0051922337,0.0015438732,0.49874765,0.00051852653,0.0018033063,0.000002034579,0.33471465,0.08169622,0.05607522,0.01723867,0.0004221508,0.002045479],"about_ca_topic_score_codex":0.11136702,"about_ca_topic_score_gemma":0.006403783,"teacher_disagreement_score":0.4310687,"about_ca_system_score_codex":0.0043785446,"about_ca_system_score_gemma":0.00061406824,"threshold_uncertainty_score":0.99947083},"labels":[],"label_agreement":null},{"id":"W7132886315","doi":"","title":"Uncertainty in Quantification of Material Use and Embodied Greenhouse Gas Emissions of Single-Family Dwellings","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; University of Toronto","keywords":"Greenhouse gas; Embodied energy; Embodied cognition; Building material; Climate change; Building design","score_opus":0.04076635108829757,"score_gpt":0.3086398365496305,"score_spread":0.26787348546133294,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132886315","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99804336,0.00008506348,0.000023672745,0.00007452099,0.00029106016,0.0009429875,0.0001001679,0.00002887805,0.00041028252],"genre_scores_gemma":[0.9950438,0.0010485267,0.00022604149,0.000010695733,0.000018011959,0.000024042827,0.00035584442,0.00006783792,0.0032051746],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99667066,0.00026751167,0.0011234555,0.0007930674,0.0006183731,0.0005268996],"domain_scores_gemma":[0.99793434,0.00028474143,0.0008477836,0.0006729339,0.000034667006,0.00022550426],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00070642174,0.00048558722,0.0007739247,0.00022539942,0.00013658669,0.0000616629,0.00031775312,0.00047730844,0.00064786134],"category_scores_gemma":[0.00042714522,0.00050083955,0.00014864693,0.0005763906,0.0007874433,0.0003707732,0.00018911817,0.00029354228,0.000027823136],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0010679408,0.001251943,0.058749042,0.00082611974,0.000033071134,0.000010598842,0.029641006,0.005563721,0.89954585,0.000057849393,0.00007028804,0.0031825851],"study_design_scores_gemma":[0.0009971481,0.000811336,0.7837861,0.00063576485,0.00015790494,0.0000020713303,0.0649247,0.0027758714,0.14427237,0.0007498593,0.00016117285,0.0007256954],"about_ca_topic_score_codex":0.026293935,"about_ca_topic_score_gemma":0.0022961476,"teacher_disagreement_score":0.75527346,"about_ca_system_score_codex":0.00050724373,"about_ca_system_score_gemma":0.00006396768,"threshold_uncertainty_score":0.9997443},"labels":[],"label_agreement":null},{"id":"W7132886843","doi":"","title":"Material Efficiency Strategies for Building More Housing with Less Embodied Greenhouse Gas Emissions","year":2023,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","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":true,"ca_institutions":"Hudbay Minerals (Canada)","funders":"","keywords":"Greenhouse gas; Embodied cognition; Embodied energy; Neighbourhood (mathematics); Consumption (sociology)","score_opus":0.02309072196657208,"score_gpt":0.330409356739894,"score_spread":0.30731863477332194,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132886843","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9920396,0.00007043569,0.0019858172,0.00024877628,0.00074160227,0.0025786466,0.0001011074,0.00026413891,0.001969881],"genre_scores_gemma":[0.99014246,0.00011420678,0.001816343,0.000039690025,0.00014549626,0.0002504797,0.00034968212,0.00026389523,0.006877722],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.9951898,0.00013492424,0.0006941026,0.0014507427,0.0009806156,0.001549858],"domain_scores_gemma":[0.9979481,0.00019103363,0.00055252656,0.0008571906,0.000034850673,0.00041628125],"candidate_categories":["metaepi_narrow","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00055808603,0.0010378531,0.0008407701,0.00017040642,0.0015639059,0.00057930907,0.000725417,0.0005575475,0.0012176761],"category_scores_gemma":[0.00010309184,0.0009178947,0.00028800368,0.0006068632,0.00083240203,0.0006377566,0.00028086134,0.0005038774,0.00006829773],"study_design_candidate":"qualitative","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.010195342,0.0050546853,0.02544412,0.0070759943,0.0006070357,0.00050358666,0.31869513,0.13834266,0.4442725,0.0015315831,0.0014388512,0.046838533],"study_design_scores_gemma":[0.0029171014,0.002470217,0.037377533,0.0011189394,0.0007440875,0.00002418488,0.89092356,0.007838774,0.050367717,0.0021466368,0.00086468126,0.0032065453],"about_ca_topic_score_codex":0.0043088696,"about_ca_topic_score_gemma":0.0009899632,"teacher_disagreement_score":0.5722285,"about_ca_system_score_codex":0.001172406,"about_ca_system_score_gemma":0.0002990972,"threshold_uncertainty_score":0.99973595},"labels":[],"label_agreement":null},{"id":"W7132934594","doi":"","title":"An environmental economic model for policy analysis in Canada and the United States: Binational economic input-output life-cycle assessment (EIO-LCA)","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Per capita; Fossil fuel; Work (physics); Environmental impact assessment; Economic model; Core (optical fiber); Energy policy","score_opus":0.009446766106827108,"score_gpt":0.3166150496997926,"score_spread":0.3071682835929655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7132934594","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9932825,0.00010041871,0.0017562598,0.0014039761,0.00013512505,0.0019255398,0.00094350585,0.000012518008,0.00044013117],"genre_scores_gemma":[0.99058306,0.0007561598,0.00045041565,0.00075658114,0.00007739762,0.00020319043,0.0052244365,0.00007808648,0.0018706822],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99547076,0.00035748867,0.0011758849,0.00131676,0.00055876543,0.0011203322],"domain_scores_gemma":[0.99719125,0.0005232117,0.00071248884,0.0008503462,0.0000070070187,0.0007156919],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0015372017,0.0008462968,0.001012135,0.0006983528,0.0005847175,0.00019742096,0.0007141575,0.0003224975,0.0013830235],"category_scores_gemma":[0.000040044804,0.0008008729,0.00031477635,0.00040875672,0.0008790587,0.000556719,0.00022052627,0.0005539819,0.000022225915],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00052805926,0.0002738346,0.09723475,0.000041440257,0.00035320414,0.0000029007947,0.007073122,0.89227873,0.000026343023,0.0005246037,0.000056766406,0.0016062545],"study_design_scores_gemma":[0.0019963875,0.00010330946,0.32263252,0.0000068279764,0.00033258373,0.0000010091276,0.021616163,0.6517346,0.000029547751,0.0008674352,0.00013665814,0.00054294954],"about_ca_topic_score_codex":0.9603708,"about_ca_topic_score_gemma":0.9624389,"teacher_disagreement_score":0.24054411,"about_ca_system_score_codex":0.02889748,"about_ca_system_score_gemma":0.0024064716,"threshold_uncertainty_score":0.99952984},"labels":[],"label_agreement":null},{"id":"W7133000383","doi":"","title":"Canada and United States household consumption: An input-output life cycle comparison of energy use and greenhouse gas emissions","year":2007,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Per capita; Production (economics); Consumption (sociology); Electricity; Energy consumption; Goods and services","score_opus":0.03505997075900567,"score_gpt":0.31435736046789464,"score_spread":0.27929738970888895,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133000383","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9980788,0.0007849653,0.00010058958,0.0001480514,0.00012126076,0.0004072748,0.00021617961,0.000035026464,0.00010784759],"genre_scores_gemma":[0.9931467,0.0028778166,0.00025652323,0.00037610347,0.000025138137,0.000009847254,0.0009260552,0.0000736858,0.0023081105],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9964377,0.00029585048,0.0008456,0.00086196896,0.00081899913,0.0007398551],"domain_scores_gemma":[0.99688846,0.0003807716,0.00060091703,0.000682953,0.000034466226,0.0014124544],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00034475533,0.00067497126,0.00078279985,0.00019224499,0.0005331662,0.00013331758,0.00027673817,0.00043126947,0.00067236373],"category_scores_gemma":[0.00016996267,0.00069502066,0.000066218454,0.0003807824,0.0010256269,0.00054742774,0.0002455246,0.00049268926,0.0000018574015],"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":[0.0005601992,0.0011717615,0.96044827,0.00041530185,0.00010208136,0.00004036992,0.017231368,0.010560765,0.0019557083,0.00004655631,0.0012870542,0.006180552],"study_design_scores_gemma":[0.0009849827,0.000674339,0.9352631,0.0001478882,0.00021905285,0.000011912934,0.039239343,0.011473162,0.0045734337,0.00006233736,0.006401703,0.0009487621],"about_ca_topic_score_codex":0.9246267,"about_ca_topic_score_gemma":0.8558861,"teacher_disagreement_score":0.06874065,"about_ca_system_score_codex":0.00068774173,"about_ca_system_score_gemma":0.0002813296,"threshold_uncertainty_score":0.9995501},"labels":[],"label_agreement":null},{"id":"W7133030123","doi":"","title":"Designing For Less: Minimizing Embodied Emissions in Reinforced Concrete Residential Buildings","year":2025,"lang":"","type":"dissertation","venue":"TSpace","topic":"Environmental Impact and Sustainability","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":"Hudbay Minerals (Canada)","funders":"","keywords":"Slab; Reinforced concrete; Embodied cognition; Embodied energy; Greenhouse gas; Resource (disambiguation)","score_opus":0.024588627330846,"score_gpt":0.33125577368861087,"score_spread":0.3066671463577649,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7133030123","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.96664983,0.0003408677,0.0058169705,0.0007617408,0.0006973911,0.0036661623,0.00002563877,0.000073062285,0.021968363],"genre_scores_gemma":[0.8975361,0.00026372427,0.011706513,0.00018200527,0.00008781851,0.0003668025,0.000340225,0.00008686254,0.089429945],"study_design_codex":"bench_or_experimental","study_design_gemma":"qualitative","domain_scores_codex":[0.9950547,0.00026488962,0.0012187881,0.0013839853,0.0006909085,0.001386724],"domain_scores_gemma":[0.9974401,0.0007153345,0.00064000103,0.0007517417,0.000036271544,0.00041654604],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0012860942,0.00087212236,0.001005178,0.00032725264,0.0008677036,0.00022943468,0.00079045305,0.000871871,0.0017385252],"category_scores_gemma":[0.0014109066,0.0009856713,0.00045866004,0.00064819655,0.00032559107,0.0005653782,0.00037111237,0.0008385293,0.0000425195],"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":[0.005422819,0.00013160447,0.014899358,0.003500871,0.00025505482,0.000111265166,0.12718612,0.01759475,0.8109198,0.0016111342,0.004922493,0.013444694],"study_design_scores_gemma":[0.00839064,0.0011721749,0.020597106,0.0036639916,0.00083629985,0.0000097184475,0.46889168,0.034257952,0.45070502,0.0017501644,0.005694817,0.004030427],"about_ca_topic_score_codex":0.0051961215,"about_ca_topic_score_gemma":0.00053511973,"teacher_disagreement_score":0.3602148,"about_ca_system_score_codex":0.0021664281,"about_ca_system_score_gemma":0.00027162573,"threshold_uncertainty_score":0.99925935},"labels":[],"label_agreement":null},{"id":"W7151787182","doi":"10.66408/sasbe.2025.2767","title":"Towards Socially Sound Sustainable Building Projects with a Novel Life Cycle Assessment Method","year":2025,"lang":"","type":"article","venue":"Proceedings of Smart and Sustainable Built Environment Conference Series","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Scope (computer science); Social impact assessment; Bridging (networking); Work (physics); Unit (ring theory); Building design; Triangulation; Life-cycle assessment","score_opus":0.013020935499767173,"score_gpt":0.2708788119291666,"score_spread":0.2578578764293994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7151787182","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.92453307,0.0008132122,0.022113657,0.0050214888,0.00009110715,0.0046239817,0.00006767553,0.000115719115,0.042620096],"genre_scores_gemma":[0.93785465,0.0013128016,0.031753596,0.000269937,0.00005699321,0.00043405488,0.0000095696205,0.00009662342,0.02821176],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99162143,0.00008953929,0.0014478021,0.0021456573,0.0015207189,0.0031748542],"domain_scores_gemma":[0.99729437,0.000114755945,0.000915522,0.0005902434,0.00030180407,0.0007833124],"candidate_categories":["metaepi_narrow","sts","scholarly_communication","insufficient_payload"],"consensus_categories":["metaepi_narrow","sts"],"category_scores_codex":[0.0030942338,0.0014408799,0.001692202,0.00046918297,0.0020646288,0.001128548,0.0010957944,0.0006118113,0.0013236046],"category_scores_gemma":[0.00034044785,0.001362234,0.00027618132,0.0010870309,0.0037868605,0.004360065,0.0037990513,0.0009760706,0.0000065747486],"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":[0.00302654,0.0032994796,0.317037,0.011827916,0.0010677653,0.00007968782,0.011828255,0.0015131173,0.01835866,0.61914057,0.0003767495,0.012444261],"study_design_scores_gemma":[0.0053937645,0.004672417,0.35809436,0.00054225407,0.0012601933,0.000059303795,0.4846478,0.003299999,0.018558484,0.100693226,0.01981923,0.0029589774],"about_ca_topic_score_codex":0.002766583,"about_ca_topic_score_gemma":0.000055166758,"teacher_disagreement_score":0.51844734,"about_ca_system_score_codex":0.0027997023,"about_ca_system_score_gemma":0.00150395,"threshold_uncertainty_score":0.9999084},"labels":[],"label_agreement":null},{"id":"W7161356246","doi":"","title":"Regional Variability in the Carbon Footprint of Canadians: Insights from OpenIO-Canada","year":2025,"lang":"","type":"article","venue":"PolyPublie (École Polytechnique de Montréal)","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":false,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Climate change; Carbon footprint; Carbon fibers; Carbon cycle; Work (physics)","score_opus":0.006167037013827584,"score_gpt":0.2067118960732081,"score_spread":0.20054485905938052,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161356246","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9736205,0.0014584181,0.0025669478,0.0121814385,0.00021492278,0.0022403204,0.0001737167,0.000032010736,0.0075117648],"genre_scores_gemma":[0.9937485,0.00022614242,0.0014739371,0.0036863666,0.00004100964,0.0003184515,0.000022630737,0.000030834442,0.00045213682],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99425817,0.0013496603,0.0012775436,0.0010249454,0.0009885615,0.0011011331],"domain_scores_gemma":[0.9961242,0.00084409013,0.00036305236,0.0022253743,0.00003242568,0.00041087333],"candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002008094,0.00061535,0.0007565661,0.00022498051,0.00031612182,0.00011582678,0.0019491514,0.0004663943,0.00024836007],"category_scores_gemma":[0.000586346,0.0005415157,0.00022795652,0.0013583843,0.00090097805,0.00019121676,0.00078067573,0.0010307985,0.0000020973612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00032935085,0.0012368734,0.9421272,0.00012306706,0.00011759269,0.00015447689,0.0031132633,0.0076165358,0.006161701,0.011588211,0.0006617528,0.02676992],"study_design_scores_gemma":[0.00068517413,0.000095472344,0.947366,0.000109630586,0.00007530075,0.000006908441,0.003353423,0.020786474,0.005144338,0.018400736,0.0034883162,0.00048825194],"about_ca_topic_score_codex":0.99721396,"about_ca_topic_score_gemma":0.99422234,"teacher_disagreement_score":0.026281668,"about_ca_system_score_codex":0.0096219415,"about_ca_system_score_gemma":0.0022302428,"threshold_uncertainty_score":0.99970365},"labels":[],"label_agreement":null},{"id":"W7161981884","doi":"10.82308/38240","title":"Growing greener cities – The potential for engineered wood construction to lower Montreal’s environmental impact","year":2023,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Carbon footprint; Greenhouse gas; Life-cycle assessment; Environmental impact assessment; Stock (firearms); Settlement (finance); Economies of agglomeration; Urbanization; Land use","score_opus":0.004265181383887727,"score_gpt":0.2269627199385547,"score_spread":0.22269753855466698,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7161981884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99399763,0.000032235366,0.00036141757,0.00016455643,0.001036315,0.001453334,0.00020717851,0.00011635666,0.0026309548],"genre_scores_gemma":[0.9552119,0.000035431367,0.0004762517,0.00016233145,0.00018383196,0.00028858028,0.0010295649,0.000105129126,0.042506974],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9977313,0.000052463263,0.0003987789,0.0006076132,0.00055194035,0.00065786776],"domain_scores_gemma":[0.9990842,0.00008359602,0.000118362805,0.00047746123,0.0000044551684,0.00023193327],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00027434173,0.000501321,0.00034272549,0.00008394616,0.00038915992,0.000100687306,0.00037421874,0.00028457612,0.0037089442],"category_scores_gemma":[0.00004914352,0.0003570855,0.0004563365,0.00016956289,0.00017583503,0.00036859768,0.00014118523,0.00025471344,0.0004431487],"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":[0.005807447,0.0016874765,0.0469583,0.00058466295,0.0020669424,0.00017517278,0.0238214,0.17455715,0.19211514,0.0003703583,0.114639424,0.43721652],"study_design_scores_gemma":[0.001021491,0.0006702418,0.9593163,0.000036835845,0.00030803258,0.0000248637,0.025274329,0.0020869907,0.005143671,0.0020492005,0.0027651044,0.0013029136],"about_ca_topic_score_codex":0.0023553618,"about_ca_topic_score_gemma":0.0011050067,"teacher_disagreement_score":0.91235805,"about_ca_system_score_codex":0.0010473541,"about_ca_system_score_gemma":0.000021026559,"threshold_uncertainty_score":0.9998881},"labels":[],"label_agreement":null},{"id":"W7162025400","doi":"10.82308/32835","title":"Assessing the economic feasibility of a carbon tax on energy inputs in Ontario's pulp and paper industry : an econometric analysis","year":2001,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Greenhouse gas; Carbon tax; Econometric model; Logit; Energy demand; Econometric analysis; Energy (signal processing); Coal","score_opus":0.019481230727273178,"score_gpt":0.28583178150736155,"score_spread":0.26635055078008835,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162025400","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9309656,0.000020740332,0.0000010482607,0.000032060714,0.00004811489,0.00020789294,0.00000510445,0.000006509353,0.06871292],"genre_scores_gemma":[0.992111,0.000022248872,0.000022723076,0.00010143832,0.000010540377,0.000020988116,0.000131561,0.000015743866,0.0075637302],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99815136,0.00017722527,0.0005159372,0.00065531296,0.00019748652,0.0003026496],"domain_scores_gemma":[0.99889064,0.00008770709,0.00027520393,0.0006069369,0.0000032908138,0.00013619622],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00059150654,0.000300166,0.0004909465,0.0003045709,0.00007834918,0.00008464821,0.0002615864,0.00048777397,0.005445044],"category_scores_gemma":[0.000030756604,0.00023154025,0.00013100743,0.0005544357,0.0001679859,0.00051077455,0.00008363826,0.00058657356,0.000002445513],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000034466593,0.00017636591,0.99082845,0.000008041393,0.000054471297,0.000002813962,0.00066961086,0.004202974,0.00007050845,0.000018331173,0.000004169861,0.0039298185],"study_design_scores_gemma":[0.00018455995,0.00009857675,0.9950772,0.0000063662355,0.00013245482,7.580509e-7,0.0025444643,0.0008533775,0.0002578443,0.0005081129,0.000098766504,0.00023751105],"about_ca_topic_score_codex":0.551774,"about_ca_topic_score_gemma":0.9085328,"teacher_disagreement_score":0.3567588,"about_ca_system_score_codex":0.003926614,"about_ca_system_score_gemma":0.00010346821,"threshold_uncertainty_score":0.9998971},"labels":[],"label_agreement":null},{"id":"W7162040884","doi":"10.82308/46183","title":"Economic and environmental impacts of biofuel policy in Canada: An application of input-output modelling","year":2015,"lang":"en","type":"dissertation","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Biofuel; Renewable energy; Biodiesel; Renewable fuels; Diesel fuel; Raw material; Greenhouse gas; Government (linguistics)","score_opus":0.007899227755305441,"score_gpt":0.24154534746124337,"score_spread":0.23364611970593793,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7162040884","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99661607,0.00009884433,0.0000384771,0.000012988092,0.000025543482,0.0003932556,0.00010526098,0.0000038798735,0.0027056825],"genre_scores_gemma":[0.9988404,0.000110260975,0.00019954922,0.000018640423,0.000013299538,0.000013077159,0.00049491855,0.000022488372,0.00028737236],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9986047,0.000041802654,0.0004904334,0.0003539064,0.00025757783,0.00025158565],"domain_scores_gemma":[0.99917096,0.00001772038,0.00028289002,0.0003214509,0.0000018517894,0.00020510721],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002068761,0.00022894441,0.0003534587,0.00009084524,0.000023631615,0.0000058177447,0.00018516024,0.00014797537,0.00014985271],"category_scores_gemma":[0.00000790302,0.00022976469,0.00003474284,0.00007199443,0.0001267286,0.00025784798,0.00007370547,0.0001281585,0.0000051656216],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00013930412,0.00022474345,0.9319838,0.00016611644,0.00001705879,0.0000015326702,0.0034273518,0.03294147,0.006983659,0.00005407657,0.000028796449,0.02403204],"study_design_scores_gemma":[0.0006163911,0.0001666812,0.9278366,0.000020119765,0.000029826126,0.0000026079322,0.01293472,0.04691557,0.007973933,0.002886074,0.00013846834,0.00047900036],"about_ca_topic_score_codex":0.97129595,"about_ca_topic_score_gemma":0.9550589,"teacher_disagreement_score":0.02355304,"about_ca_system_score_codex":0.005581176,"about_ca_system_score_gemma":0.000578694,"threshold_uncertainty_score":0.99823624},"labels":[],"label_agreement":null},{"id":"W765564366","doi":"","title":"Experimentation de la methode d'entropie croisee pour l'estimation d'echanges economiques a partir de flux de transport","year":2004,"lang":"fr","type":"article","venue":"","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Humanities; Political science; Philosophy","score_opus":0.015751744483824534,"score_gpt":0.30613322523041103,"score_spread":0.2903814807465865,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W765564366","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7645886,0.0005005247,0.22695258,0.004088242,0.000060706046,0.0003481811,0.000015127732,0.00006486985,0.0033811862],"genre_scores_gemma":[0.82741326,0.0002505538,0.16643804,0.0006748379,0.00006214073,0.00008719946,0.000019336994,0.000032482953,0.0050221244],"study_design_codex":"observational","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99780285,0.00045583787,0.0003612319,0.00041232078,0.0001703637,0.0007973718],"domain_scores_gemma":[0.99909043,0.00012958332,0.000109269335,0.00026843513,0.000005268551,0.00039698833],"candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0011757829,0.00029812893,0.00023984676,0.000042859727,0.00024281813,0.000110546716,0.00019982569,0.0002665241,0.006750441],"category_scores_gemma":[0.00007005775,0.00032347525,0.00014911068,0.00009844843,0.0008277527,0.00079639273,0.000053084605,0.00020303579,0.00025107744],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_system_candidate":true,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00014279227,0.0023222985,0.36415142,0.00022639429,0.000095195624,0.00012756282,0.037954923,0.18975405,0.3364241,0.00879998,0.00082438946,0.059176877],"study_design_scores_gemma":[0.0009987333,0.00020875697,0.37635878,0.000037571273,0.00009758071,0.00007841511,0.0035980307,0.008533725,0.5660099,0.042079356,0.0016255971,0.0003735881],"about_ca_topic_score_codex":0.00890685,"about_ca_topic_score_gemma":0.00046215343,"teacher_disagreement_score":0.22958577,"about_ca_system_score_codex":0.005994689,"about_ca_system_score_gemma":0.00018791095,"threshold_uncertainty_score":0.99992174},"labels":[],"label_agreement":null},{"id":"W76842190","doi":"10.1016/b978-0-444-52512-3.00086-3","title":"Virtual Water and Water Footprint of Food Production and Processing","year":2014,"lang":"en","type":"book-chapter","venue":"Elsevier eBooks","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"International Union of Food Science and Technology","funders":"","keywords":"Virtual water; Food processing; Water use; Production (economics); Agriculture; Footprint; Water scarcity; Population; Farm water; Consumption (sociology); Water consumption; Water resources; Environmental science; Agricultural engineering; Water resource management; Natural resource economics; Water conservation; Engineering; Geography; Economics; Food science; Agronomy","score_opus":0.00817738268208621,"score_gpt":0.20217197896212424,"score_spread":0.19399459628003804,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W76842190","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.51435786,0.000104582905,0.000008938125,0.000089891386,0.00006848869,0.00054557546,0.0000029236141,0.000021302101,0.48480043],"genre_scores_gemma":[0.594711,0.000015994881,0.000061943145,0.000031846666,0.000041701434,0.000009409128,0.000004898857,0.000027651915,0.40509555],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9986296,0.000026110647,0.0003069681,0.0004951541,0.00025913346,0.00028301025],"domain_scores_gemma":[0.9994995,0.000006870817,0.00007945215,0.00029242667,0.000007587088,0.00011419008],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00034732392,0.0002953659,0.00033003816,0.000037903665,0.000118395226,0.000028501421,0.00009653052,0.0001804473,0.00023507857],"category_scores_gemma":[0.0000093045255,0.00018550573,0.000057200272,0.000003349769,0.0007830933,0.000060519196,0.00046770638,0.00021183772,0.000025246736],"study_design_candidate":"design_other","study_design_consensus":null,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000023470111,0.000011170739,0.00068765023,0.00016166914,0.000018145844,0.0000015087163,0.0017308772,0.000004485545,0.008964416,0.00010398307,0.000003809387,0.9882888],"study_design_scores_gemma":[0.00073033385,0.0016546759,0.005556552,0.00046991959,0.0003007679,0.00011285759,0.00025498896,0.000031614352,0.19172755,0.036871426,0.76066005,0.0016292619],"about_ca_topic_score_codex":0.0000016598865,"about_ca_topic_score_gemma":0.000020833904,"teacher_disagreement_score":0.9866595,"about_ca_system_score_codex":0.000115980074,"about_ca_system_score_gemma":0.0000045038405,"threshold_uncertainty_score":0.75647044},"labels":[],"label_agreement":null},{"id":"W777408805","doi":"10.1016/j.jclepro.2015.06.050","title":"Case study: taking zinc speciation into account in terrestrial ecotoxicity considerably impacts life cycle assessment results","year":2015,"lang":"en","type":"article","venue":"Journal of Cleaner Production","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":false,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal; Polytechnique Montréal","funders":"","keywords":"Ecotoxicity; Genetic algorithm; Environmental chemistry; Environmental science; Life-cycle assessment; Chemistry; Ecology; Biology","score_opus":0.04022189731949058,"score_gpt":0.32750585060414017,"score_spread":0.2872839532846496,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W777408805","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99691105,0.000012327315,0.000034856617,0.0011170432,0.0007630427,0.00049457967,9.1659604e-7,0.000010100889,0.0006561017],"genre_scores_gemma":[0.9985667,0.000008850159,0.0005779176,0.000068169764,0.0007212525,0.000003350507,0.0000014053154,0.000012182705,0.000040177685],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9975307,0.00039234513,0.00084863236,0.00027959642,0.00070172094,0.00024702918],"domain_scores_gemma":[0.99855345,0.00004793241,0.00084554113,0.00026425984,0.000024951854,0.00026383874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038909959,0.00015811673,0.00026435955,0.00011288387,0.0001155069,0.00008190961,0.00011957043,0.000069602895,0.00007388832],"category_scores_gemma":[0.0019534878,0.00013350333,0.00006241666,0.0002019189,0.00010246516,0.0013559833,0.00010422591,0.00039254976,0.000012390438],"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":[0.0015231884,0.002812518,0.78780925,0.0000143972475,0.000051165825,0.0024184207,0.020972459,0.15524271,0.00322957,0.0000012224004,0.0033191608,0.022605937],"study_design_scores_gemma":[0.0051044524,0.0016966888,0.94358456,0.000028496957,0.00005969867,0.0025840346,0.041558016,0.0014189928,0.0016343744,0.0010020264,0.0010042677,0.0003243904],"about_ca_topic_score_codex":0.0028256525,"about_ca_topic_score_gemma":0.0026561364,"teacher_disagreement_score":0.15577531,"about_ca_system_score_codex":0.0025821356,"about_ca_system_score_gemma":0.00012878157,"threshold_uncertainty_score":0.67521954},"labels":[],"label_agreement":null},{"id":"W82585684","doi":"","title":"Évaluation d'un indice de pression sur les approvisionnements municipaux en eau potable au Québec à l'aide d'une méthode de régionalisation des débits d'étiage.","year":2007,"lang":"fr","type":"article","venue":"EspaceINRS Institutional Digital Repository (Institut National de la Recherche Scientifique)","topic":"Environmental Impact and Sustainability","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":"Environmental science","score_opus":0.13132854880950065,"score_gpt":0.33347641107481707,"score_spread":0.20214786226531642,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W82585684","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7823156,0.0010679598,0.15041798,0.0013759076,0.00064756605,0.00089549617,0.00011777254,0.00011186467,0.06304981],"genre_scores_gemma":[0.90386456,0.00019025173,0.06368377,0.0002602691,0.0003941351,0.00010304327,0.0002180312,0.000051080504,0.031234836],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9909517,0.0029681628,0.001056393,0.0011603743,0.002447708,0.0014156693],"domain_scores_gemma":[0.9943608,0.0034796642,0.0004478348,0.0004928654,0.0003363976,0.000882453],"candidate_categories":["metaresearch","metaepi_narrow","sts"],"consensus_categories":["sts"],"category_scores_codex":[0.019143963,0.00064390356,0.0003899042,0.0003680782,0.002645426,0.0008123629,0.0008331071,0.0012039866,0.0002770164],"category_scores_gemma":[0.015296572,0.0006942631,0.00034251538,0.0012301026,0.004396494,0.004131288,0.0005445708,0.0014030236,0.00013264321],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_system_candidate":true,"about_ca_system_consensus":true,"study_design_scores_codex":[0.00058620505,0.0037216644,0.47379407,0.00061639387,0.00023873826,0.00029179727,0.019179342,0.20248874,0.14039913,0.017953942,0.0021613652,0.13856861],"study_design_scores_gemma":[0.0014590453,0.00012452749,0.8422094,0.00079048064,0.00012471924,0.00064690236,0.0014015584,0.0150107285,0.06267999,0.037146505,0.037478495,0.0009276655],"about_ca_topic_score_codex":0.06187221,"about_ca_topic_score_gemma":0.0224673,"teacher_disagreement_score":0.3684153,"about_ca_system_score_codex":0.042693272,"about_ca_system_score_gemma":0.008331251,"threshold_uncertainty_score":0.9995509},"labels":[],"label_agreement":null},{"id":"W834627135","doi":"","title":"Implementation of GHG Tracking Software for Sustainable Transportation Infrastructure Projects","year":2013,"lang":"en","type":"article","venue":"2013 CONFERENCE AND EXHIBITION OF THE TRANSPORTATION ASSOCIATION OF CANADA - TRANSPORTATION: BETTER - FASTER - SAFER","topic":"Environmental Impact and Sustainability","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"","keywords":"Sustainability; Benchmarking; Life-cycle assessment; Environmental impact assessment; Greenhouse gas; Environmental economics; Engineering; Business; Production (economics)","score_opus":0.006329787183547925,"score_gpt":0.20996148183867708,"score_spread":0.20363169465512915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W834627135","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"codex-gemma-dda1882f352a","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9922865,0.000012140278,0.003699867,0.0018389784,0.00008008394,0.0014610629,0.0005288774,0.000014044607,0.00007846913],"genre_scores_gemma":[0.9973109,0.000015297152,0.0011063371,0.00028736767,0.00001682316,0.00013620073,0.00059853174,0.00002169629,0.000506897],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.997513,0.000070825845,0.0010019495,0.00031393586,0.00074417423,0.00035609095],"domain_scores_gemma":[0.9982155,0.00009124651,0.0009782215,0.00020402207,0.0004158008,0.000095214295],"candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00026657892,0.00024748992,0.00036903739,0.00006612114,0.00016733537,0.000026361064,0.00017282806,0.000149583,0.001769514],"category_scores_gemma":[0.00002358194,0.00022037949,0.00013910126,0.0002907517,0.00014244192,0.0010875039,0.0000034483967,0.00013112805,8.594017e-7],"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":[0.00006745141,0.000072428156,0.97837496,0.00045667865,0.00007371775,7.2343573e-7,0.0060992446,0.0014837172,0.005810655,0.0005543138,0.0038510975,0.0031550392],"study_design_scores_gemma":[0.0011338596,0.00009985379,0.9709246,0.000049019363,0.00013031634,1.5807666e-7,0.0064105047,0.000062490384,0.018685434,0.0015992551,0.0006927798,0.00021170088],"about_ca_topic_score_codex":0.10503038,"about_ca_topic_score_gemma":0.31538785,"teacher_disagreement_score":0.21035746,"about_ca_system_score_codex":0.0003048872,"about_ca_system_score_gemma":0.0002532913,"threshold_uncertainty_score":0.999143},"labels":[],"label_agreement":null}]}