{"meta":{"query_hash":"692a467754ba","filters":{"venue":"GCB Bioenergy"},"cohort_total":64,"direct_labels_cover":1,"predictions_cover":64,"exported":64,"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/692a467754ba","api":"https://metacan.xera.ac/api/v1/cohort?venue=GCB+Bioenergy"},"results":[{"id":"W1895577850","doi":"10.1111/gcbb.12301","title":"Improved experimental protocols to evaluate cold tolerance thresholds in <i>Miscanthus</i> and switchgrass rhizomes","year":2015,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","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":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Agricultural Adaptation Council","keywords":"Rhizome; Miscanthus; Panicum virgatum; Perennial plant; Bioenergy; Overwintering; Biology; Botany; Acclimatization; Horticulture; Environmental science; Agronomy; Biofuel; Ecology","score_opus":0.04068185905336529,"score_gpt":0.2797886113029695,"score_spread":0.2391067522496042,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1895577850","genre_codex":"empirical","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9476225,0.0006934424,0.04777488,0.00008447479,0.00007724995,0.00093355105,0.0008368493,0.0002645315,0.001712562],"genre_scores_gemma":[0.8725171,0.0007793263,0.11237813,0.0003064596,0.000045496083,0.004092276,0.0036272171,0.0004707493,0.0057832683],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9992981,0.00014987882,0.00009143621,0.00022936631,0.00014148702,0.00008961399],"domain_scores_gemma":[0.9993279,0.0001318856,0.00016304082,0.00014132833,0.00016131968,0.00007454273],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007021965,0.00069582934,0.0003657411,0.00036977624,0.000380211,0.00037560094,0.0005267685,0.0003981093,0.0015556721],"category_scores_gemma":[0.0005418918,0.0002854077,0.00038730496,0.00022587222,0.00038513835,0.0006310016,0.0005181718,0.001000492,0.00031898665],"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":[0.00004775203,0.000012239945,0.00014679666,0.000023974342,0.0000028485483,0.0000073743245,0.000028668668,0.000038788374,0.9992132,0.00002050996,0.00000903012,0.0004487499],"study_design_scores_gemma":[0.000025446978,0.00077735796,0.01623957,0.000016820004,0.000031749114,0.00007207857,0.00008353505,0.0008285415,0.9796611,0.00006165247,0.002174635,0.000027425045],"about_ca_topic_score_codex":0.0021233906,"about_ca_topic_score_gemma":0.004666358,"teacher_disagreement_score":0.0021233906,"about_ca_system_score_codex":0.00058543973,"about_ca_system_score_gemma":0.0003636828,"threshold_uncertainty_score":0.0052042603},"labels":[],"label_agreement":null},{"id":"W1999556364","doi":"10.1111/j.1757-1707.2011.01151.x","title":"Farmers' perspectives for the development of a bioenergy industry in <scp>I</scp>reland","year":2012,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","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":"Impact","funders":"","keywords":"Bioenergy; Business; Energy crop; Production (economics); Agricultural science; Agriculture; Outreach; Agricultural economics; Promotion (chess); Crop; Early adopter; Government (linguistics); Agroforestry; Natural resource economics; Biofuel; Economics; Environmental science; Marketing; Biotechnology; Economic growth; Geography; Forestry","score_opus":0.030375621768865248,"score_gpt":0.2386068718075057,"score_spread":0.20823125003864046,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1999556364","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9940143,0.000074002615,0.000035397938,0.0010764765,0.0000071921177,0.0000071059817,0.000016735576,0.0000015767437,0.0047671534],"genre_scores_gemma":[0.998254,0.00010401721,0.000043576016,0.00015609725,0.0000034306515,0.0000063554526,0.000010386549,8.0954766e-7,0.0014214084],"study_design_codex":"observational","study_design_gemma":"qualitative","domain_scores_codex":[0.9988927,0.00046101518,0.00003118742,0.00006733817,0.00018442418,0.00036329532],"domain_scores_gemma":[0.99807787,0.00057812716,0.0005331771,0.000037430767,0.00031048886,0.0004628596],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014626489,0.00013900796,0.00010978094,0.00037774575,0.0022739668,0.0017936529,0.00035500838,0.00050378795,0.0037506658],"category_scores_gemma":[0.001641147,0.00015816452,0.00016174247,0.0003998434,0.0011221456,0.00079516106,0.0009913826,0.00073248066,0.0002403095],"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":[0.0004389419,0.00055532856,0.540103,0.0003359369,0.00003121059,0.008901379,0.36380768,0.0005676068,0.018096626,0.002540575,0.008876642,0.055745043],"study_design_scores_gemma":[0.000014029824,0.00030310478,0.19609778,0.00010167496,0.000013234855,0.0007601943,0.77985907,0.00022010392,0.0009692954,0.00021564076,0.021411737,0.000034108652],"about_ca_topic_score_codex":0.03084594,"about_ca_topic_score_gemma":0.07095204,"teacher_disagreement_score":0.03084594,"about_ca_system_score_codex":0.0028427434,"about_ca_system_score_gemma":0.0016657662,"threshold_uncertainty_score":0.06133282},"labels":[],"label_agreement":null},{"id":"W2016979679","doi":"10.1111/j.1757-1707.2011.01110.x","title":"The carbon implications of large‐scale afforestation of agriculturally marginal land with short‐rotation willow in<scp>S</scp>askatchewan","year":2011,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":45,"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; University of Saskatchewan","funders":"Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada; Commonwealth Scientific and Industrial Research Organisation; University of Saskatchewan","keywords":"Willow; Short rotation coppice; Coppicing; Marginal land; Afforestation; Short rotation forestry; Biomass (ecology); Environmental science; Bioenergy; Agroforestry; Agronomy; Carbon sequestration; Forestry; Woody plant; Biology; Biofuel; Ecology; Geography; Agriculture","score_opus":0.013500307256598173,"score_gpt":0.19681629957941899,"score_spread":0.1833159923228208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2016979679","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9995708,0.000010354557,0.000028926112,0.00001956533,9.0740576e-7,0.0000027586318,0.00007711629,0.0000014053895,0.0002881657],"genre_scores_gemma":[0.99949956,0.000014736191,0.00011822894,0.000009343313,7.110143e-7,0.0000035684207,0.00013603072,0.0000010339949,0.00021674778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99989045,0.00002590906,0.0000068429144,0.000024712603,0.0000219604,0.000030187779],"domain_scores_gemma":[0.9998543,0.000018033119,0.000026703528,0.000011294161,0.00004059499,0.000049023678],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002589673,0.0001550341,0.00013764636,0.00041264328,0.0005722413,0.0005124081,0.0003385002,0.00015012886,0.00051945465],"category_scores_gemma":[0.00024367667,0.000082842605,0.0002295542,0.00046467638,0.00030891507,0.00016952386,0.0003664968,0.00017282944,0.00004481947],"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":[0.0005568913,0.0002103608,0.9272217,0.000064343236,0.00019970538,0.0015220781,0.0007579213,0.020126132,0.03367964,0.0010374624,0.0007042076,0.013919503],"study_design_scores_gemma":[0.000025352849,0.000068779555,0.97483635,0.000009636769,0.000040685918,0.000118759745,0.0018754555,0.018923596,0.0023578352,0.00023317248,0.0015015431,0.000008776236],"about_ca_topic_score_codex":0.34375745,"about_ca_topic_score_gemma":0.62249935,"teacher_disagreement_score":0.65624255,"about_ca_system_score_codex":0.0028670414,"about_ca_system_score_gemma":0.0018609248,"threshold_uncertainty_score":0.6835131},"labels":[],"label_agreement":null},{"id":"W2040722220","doi":"10.1111/gcbb.12198","title":"Carbon debt repayment or carbon sequestration parity? Lessons from a forest bioenergy case study in Ontario, Canada","year":2014,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":65,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; University of Toronto; Canadian Sport Centre Pacific; FPInnovations; Pembina Institute; Ontario Forest Research Institute","funders":"Office of Energy Research and Development; Ministry of Natural Resources; Natural Resources Canada; FPInnovations; Government of Canada; National Council for Air and Stream Improvement","keywords":"Carbon sequestration; Greenhouse gas; Environmental science; Bioenergy; Biomass (ecology); Coal; Carbon accounting; Atmospheric carbon cycle; Climate change mitigation; Carbon neutrality; Agroforestry; Carbon fibers; Biofuel; Carbon dioxide; Agronomy; Waste management; Ecology; Engineering; Biology","score_opus":0.03274561659592561,"score_gpt":0.23245010238310043,"score_spread":0.1997044857871748,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2040722220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9784761,0.0011397607,0.0013789566,0.0023229895,0.000018272936,0.00015588297,0.0026111186,0.000027152384,0.013869703],"genre_scores_gemma":[0.9950795,0.0005441206,0.00096507446,0.00010348797,0.0000055318064,0.000026312995,0.0007567559,0.000008878531,0.002510307],"study_design_codex":"observational","study_design_gemma":"case_report","domain_scores_codex":[0.99908817,0.000235043,0.000038739083,0.00009197396,0.00021515609,0.00033087694],"domain_scores_gemma":[0.99599,0.0016561896,0.00030430322,0.00013111469,0.0015467004,0.00037166185],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016455897,0.0004703718,0.00053140224,0.00069751876,0.0018846366,0.0015524048,0.0016189928,0.00086941506,0.0019684199],"category_scores_gemma":[0.0049873805,0.0002695218,0.00061606406,0.0021478196,0.0010332961,0.00079735764,0.0005868392,0.0007885217,0.00008684728],"study_design_candidate":"case_report","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":[0.0011913312,0.00055051805,0.58033234,0.0007396897,0.00053470745,0.0048319534,0.0036639338,0.32204178,0.0032375727,0.021076148,0.013368929,0.048431084],"study_design_scores_gemma":[0.00034574157,0.00046131332,0.60663027,0.0004265881,0.00061827194,0.00050117105,0.028297365,0.3201454,0.0029333348,0.006934713,0.032375865,0.00033004404],"about_ca_topic_score_codex":0.9962753,"about_ca_topic_score_gemma":0.9974227,"teacher_disagreement_score":0.060691863,"about_ca_system_score_codex":0.060691863,"about_ca_system_score_gemma":0.03245088,"threshold_uncertainty_score":0.44035232},"labels":[],"label_agreement":null},{"id":"W2102915793","doi":"10.1111/gcbb.12058","title":"A spatial model of climate change effects on yields and break‐even prices of switchgrass and miscanthus in Ontario, Canada","year":2013,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":22,"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; Canadian Forest Service; University of Guelph","funders":"","keywords":"Miscanthus; Energy crop; Greenhouse gas; Environmental science; Climate change; Bioenergy; Panicum virgatum; Agronomy; Biomass (ecology); Agroforestry; Tonne; Agriculture; Global warming; Biofuel; Geography; Ecology; Biology","score_opus":0.013277521416685444,"score_gpt":0.1715217600779413,"score_spread":0.15824423866125584,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2102915793","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9779443,0.00016068404,0.0016040562,0.00047893092,0.000021143393,0.00005943048,0.007654382,0.00009916181,0.011977887],"genre_scores_gemma":[0.9920489,0.00016591111,0.0008504339,0.000029211245,0.0000030608842,0.000031055082,0.00255707,0.00001624118,0.0042981445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982053,0.000018840718,0.0000068897516,0.000038788858,0.000038390735,0.00007658296],"domain_scores_gemma":[0.9995652,0.000070609094,0.000036756024,0.000016151262,0.00023754513,0.0000738029],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021371448,0.0005625582,0.00038562753,0.00061051815,0.0014206737,0.0013122002,0.0015706576,0.0006988964,0.004321285],"category_scores_gemma":[0.00078040804,0.00043632044,0.0008063344,0.0013755903,0.00090081175,0.00044101448,0.0005135865,0.00048309212,0.0002505133],"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":[0.00013671664,0.000056636647,0.04698375,0.000039017563,0.00006570361,0.00018387134,0.00012130919,0.9443401,0.0010707739,0.0023715552,0.0022522404,0.0023782512],"study_design_scores_gemma":[0.00009457838,0.00003529286,0.041274674,0.00001954764,0.000044255514,0.000028873757,0.0004461446,0.9532401,0.00033955334,0.00059341546,0.003841918,0.00004159935],"about_ca_topic_score_codex":0.99278086,"about_ca_topic_score_gemma":0.98951066,"teacher_disagreement_score":0.039680175,"about_ca_system_score_codex":0.039680175,"about_ca_system_score_gemma":0.019095784,"threshold_uncertainty_score":0.28790116},"labels":[],"label_agreement":null},{"id":"W2111457051","doi":"10.1111/gcbb.12055","title":"Damaged forests provide an opportunity to mitigate climate change","year":2013,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":84,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Government of British Columbia","funders":"Natural Resources Canada; FPInnovations; Universiteit Utrecht","keywords":"Environmental science; Slash (logging); Biomass (ecology); Bioenergy; Agroforestry; Logging; Carbon sequestration; Greenhouse gas; Climate change; Forestry; Agronomy; Ecology; Biofuel; Carbon dioxide; Geography; Biology","score_opus":0.03459833559872455,"score_gpt":0.2575276076247545,"score_spread":0.22292927202602997,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2111457051","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9165212,0.0007963233,0.0077128224,0.00097051874,0.00013930313,0.000093470466,0.003255461,0.0004324455,0.07007843],"genre_scores_gemma":[0.99396837,0.00014295966,0.0012932252,0.00006921885,0.0000071469194,0.000016192047,0.00046596015,0.00003253685,0.0040043285],"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9998466,0.000023091137,0.0000057101674,0.000024888808,0.000031593616,0.000068083464],"domain_scores_gemma":[0.99977905,0.0000152392895,0.00003213712,0.000030981097,0.00007023269,0.000072384624],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024103645,0.00039237062,0.00026712197,0.0004922497,0.0010751652,0.0017903254,0.00062673184,0.00068770465,0.011225884],"category_scores_gemma":[0.0005053282,0.00013391199,0.00026472882,0.00067456457,0.00044909533,0.00077478244,0.0008016519,0.00046108893,0.00093783136],"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":[0.0006397602,0.00032195006,0.27118996,0.00051149685,0.00036758347,0.001395298,0.00076078967,0.5180035,0.029797705,0.020756112,0.020779198,0.13547665],"study_design_scores_gemma":[0.00013101187,0.00036979804,0.4776636,0.0003336838,0.00022589095,0.00081739173,0.0054139895,0.32222065,0.005657166,0.021362036,0.16560766,0.0001971004],"about_ca_topic_score_codex":0.15167058,"about_ca_topic_score_gemma":0.35127276,"teacher_disagreement_score":0.15167058,"about_ca_system_score_codex":0.002056063,"about_ca_system_score_gemma":0.0017464628,"threshold_uncertainty_score":0.30157548},"labels":[],"label_agreement":null},{"id":"W2113476024","doi":"10.1111/gcbb.12211","title":"Soil and greenhouse gas responses to biochar additions in a temperate hardwood forest","year":2014,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Laurentian University; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Ontario Centres of Excellence","keywords":"Biochar; Phosphorus; Environmental science; Agronomy; Soil water; Cambisol; Chemistry; Pyrolysis; Soil science; Biology","score_opus":0.013997028951839546,"score_gpt":0.2091610147610923,"score_spread":0.19516398580925276,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2113476024","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999684,0.000045643104,0.000029250028,0.00000500055,0.0000015300798,0.00001066846,0.000101739904,0.0000027759145,0.00011937135],"genre_scores_gemma":[0.9986553,0.00008162882,0.00033489076,0.000029099516,0.000002356954,0.000021003296,0.000344444,0.000002758035,0.0005284092],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99978465,0.000018145543,0.000013396563,0.000067537665,0.000053714117,0.00006262108],"domain_scores_gemma":[0.9995004,0.000056279878,0.00009107516,0.00001716354,0.0001458492,0.0001892427],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024494898,0.0003822411,0.00031208756,0.0003792336,0.00063908694,0.00054375594,0.00039873197,0.00024517937,0.00046100584],"category_scores_gemma":[0.00025144653,0.00020133946,0.00021645323,0.00037323908,0.00031122114,0.00021771873,0.00021486908,0.0002717548,0.00008338329],"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":[0.004217527,0.0005459895,0.1951858,0.00014601114,0.00010661295,0.00040917515,0.00044192534,0.00073521276,0.79210055,0.000028546143,0.00014281963,0.0059398357],"study_design_scores_gemma":[0.000037947706,0.00086724357,0.97633106,0.0000052644364,0.000031507705,0.000050496892,0.00045979547,0.000785139,0.020916782,0.00001452323,0.00049077906,0.00000939707],"about_ca_topic_score_codex":0.4130995,"about_ca_topic_score_gemma":0.6636621,"teacher_disagreement_score":0.4130995,"about_ca_system_score_codex":0.0043703234,"about_ca_system_score_gemma":0.0016437178,"threshold_uncertainty_score":0.82139},"labels":[],"label_agreement":null},{"id":"W2114400875","doi":"10.1111/gcbb.12128","title":"Soil and crop response to stover removal from rainfed and irrigated corn","year":2013,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":75,"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":"Stover; Loam; Agronomy; Tillage; Corn stover; Environmental science; Soil water; Crop; Soil carbon; Biofuel; Soil science; Biology; Ecology","score_opus":0.011048721416468676,"score_gpt":0.19668775125491922,"score_spread":0.18563902983845054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2114400875","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9998847,0.000022136079,0.000016109854,0.0000024624721,8.2202223e-7,0.0000021886021,0.00003078233,9.3417407e-7,0.000039756997],"genre_scores_gemma":[0.99947876,0.00003154151,0.00006667557,0.000021671072,0.0000012166744,0.0000062118274,0.00022885406,0.0000011605381,0.00016403542],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998417,0.000025097577,0.000015272823,0.00003570298,0.000037345388,0.00004491167],"domain_scores_gemma":[0.9994541,0.00009673524,0.00021814596,0.000029040863,0.00009583116,0.00010622564],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017268598,0.000217926,0.00030761634,0.00016723426,0.00020186423,0.000295723,0.00022146705,0.00024453082,0.00040854776],"category_scores_gemma":[0.00043027705,0.00015701425,0.00024484532,0.0001725273,0.00022084313,0.00015078465,0.00020910589,0.0003462371,0.00005798876],"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":[0.00463069,0.00088367984,0.20131876,0.00010281435,0.00027323505,0.00036488316,0.00036524975,0.0015721777,0.78268546,0.00003103711,0.00014171438,0.007630364],"study_design_scores_gemma":[0.000022234633,0.0018931521,0.98106915,0.000003170764,0.000024438115,0.00006060109,0.00016684948,0.00095277454,0.01558647,0.000014249014,0.00019855255,0.000008330159],"about_ca_topic_score_codex":0.010128614,"about_ca_topic_score_gemma":0.021015674,"teacher_disagreement_score":0.010128614,"about_ca_system_score_codex":0.00055269856,"about_ca_system_score_gemma":0.00029345983,"threshold_uncertainty_score":0.020139337},"labels":[],"label_agreement":null},{"id":"W2116046339","doi":"10.1111/j.1757-1707.2009.01018.x","title":"Morphology and biomass production of prairie cordgrass on marginal lands","year":2009,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","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":"South Dakota State University; U.S. Department of Transportation; U.S. Department of Energy","keywords":"Panicum virgatum; Marginal land; Biomass (ecology); Agronomy; Tiller (botany); Biology; Biomass partitioning; Growing season; Environmental science; Bioenergy; Biofuel; Ecology; Agriculture","score_opus":0.016451142660234407,"score_gpt":0.2185895234827745,"score_spread":0.2021383808225401,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2116046339","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99989355,0.000009604649,0.00000967755,9.2594854e-7,1.2987554e-7,4.5326652e-7,0.000031928903,5.0396744e-7,0.000053271626],"genre_scores_gemma":[0.99965847,0.000011439686,0.000046694553,0.00000183863,4.0523494e-7,0.0000010239863,0.00014726627,5.2775886e-7,0.00013244405],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9999459,0.000006712277,0.000002934444,0.000021320895,0.0000110890505,0.0000119636225],"domain_scores_gemma":[0.99985945,0.000016882748,0.00005183018,0.000009843348,0.00002951691,0.00003239919],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084163534,0.00012713223,0.00007225875,0.00035292713,0.00020286738,0.00026128622,0.00015142307,0.00008290702,0.0005619729],"category_scores_gemma":[0.00017690919,0.0000883773,0.000066051645,0.00022384452,0.00020961491,0.00014617598,0.0001765878,0.00008304106,0.00009149872],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00011819861,0.000044188742,0.956168,0.000012246489,0.000023305625,0.00020157234,0.0005774129,0.00016294212,0.038100265,0.000034164295,0.000070067836,0.004487533],"study_design_scores_gemma":[4.6234533e-7,0.000016817055,0.9995943,5.3599047e-7,8.659134e-7,0.00004129047,0.00006538452,0.00006758401,0.0001600946,0.0000024767078,0.000049551494,5.600924e-7],"about_ca_topic_score_codex":0.013389347,"about_ca_topic_score_gemma":0.058719497,"teacher_disagreement_score":0.013389347,"about_ca_system_score_codex":0.00047574384,"about_ca_system_score_gemma":0.00012877336,"threshold_uncertainty_score":0.026622832},"labels":[],"label_agreement":null},{"id":"W2118924169","doi":"10.1111/gcbb.12254","title":"Additional supporting evidence for significant <scp>iLUC</scp> emissions of oilseed rape biodiesel production in the <scp>EU</scp> based on causal descriptive modeling approach","year":2015,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"International Fine Particle Research Institute; ClimateWorks Foundation","keywords":"Greenhouse gas; Biofuel; Biodiesel; Environmental science; Renewable energy; Land use, land-use change and forestry; European union; Land use; Natural resource economics; Agricultural engineering; Engineering; Waste management; Business; Economics; Chemistry; Ecology","score_opus":0.09763125260820457,"score_gpt":0.2674046718886662,"score_spread":0.1697734192804616,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2118924169","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.89109385,0.0012933938,0.05161965,0.004342968,0.000094382325,0.00012202036,0.009542614,0.00037289137,0.04151828],"genre_scores_gemma":[0.9956079,0.00033673746,0.0021347452,0.0001292483,0.000012230514,0.000012696091,0.0013524294,0.000011322817,0.00040257524],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9983658,0.0006175341,0.00014301554,0.00031922784,0.0004452574,0.00010912324],"domain_scores_gemma":[0.9715821,0.02147325,0.0033119838,0.0014930187,0.0018749043,0.000264605],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0036061413,0.00058905804,0.00033475025,0.0020343484,0.00030941496,0.0010784715,0.0011580935,0.0007069322,0.011636021],"category_scores_gemma":[0.009810632,0.00026035245,0.0016510299,0.001948394,0.00081894046,0.0009913896,0.00096466433,0.0004828329,0.0004127578],"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":[0.0012095369,0.0006210427,0.40335852,0.002385171,0.0024796582,0.0020158316,0.00040935882,0.41710907,0.00987288,0.09268647,0.0065020444,0.061350454],"study_design_scores_gemma":[0.0002830059,0.0005879356,0.29781082,0.0006820234,0.001419546,0.00067090493,0.002606371,0.5658163,0.015075588,0.0910224,0.023853494,0.00017164758],"about_ca_topic_score_codex":0.022991221,"about_ca_topic_score_gemma":0.019383363,"teacher_disagreement_score":0.022991221,"about_ca_system_score_codex":0.0017487896,"about_ca_system_score_gemma":0.0016332974,"threshold_uncertainty_score":0.045714796},"labels":[],"label_agreement":null},{"id":"W2121361681","doi":"10.1111/gcbb.12289","title":"Influence of corn, switchgrass, and prairie cropping systems on soil microbial communities in the upper Midwest of the United States","year":2015,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":92,"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":"Office of Science; Great Lakes Bioenergy Research Center; Joint Genome Institute; U.S. Department of Energy","keywords":"Agronomy; Microbial population biology; Biomass (ecology); Biology; Ecosystem; Environmental science; Ecology; Bacteria","score_opus":0.02520631378233867,"score_gpt":0.2149832482105441,"score_spread":0.18977693442820542,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2121361681","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997265,0.00005898216,0.000018687151,0.000012037715,6.4591205e-7,0.0000013450759,0.00007372701,7.689489e-7,0.00010735659],"genre_scores_gemma":[0.9996948,0.00005898519,0.00006205121,0.000019421113,6.9609194e-7,0.0000029925025,0.00010547135,5.582699e-7,0.000054980297],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997038,0.000082093116,0.000019357121,0.000087595094,0.00003906057,0.00006810784],"domain_scores_gemma":[0.9993469,0.00012476917,0.00024132225,0.000040977135,0.00009333013,0.00015266756],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00051172054,0.00014786977,0.00016436905,0.0003113731,0.00030454417,0.0005108166,0.00025139452,0.00011637054,0.00041389395],"category_scores_gemma":[0.0005778268,0.00009753155,0.00013810664,0.00045029586,0.00036098197,0.00022499655,0.0004936984,0.00017646006,0.00003131244],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002731949,0.000077962926,0.98591715,0.000015832138,0.00008592082,0.00007217802,0.00030832613,0.00025479164,0.008170179,0.000062442836,0.00008077528,0.004681266],"study_design_scores_gemma":[0.000002263991,0.00003534979,0.999151,0.0000037868099,0.000010686135,0.000011128525,0.00033233638,0.00013772142,0.00019714913,0.000010928569,0.000106239226,0.000001479258],"about_ca_topic_score_codex":0.17160572,"about_ca_topic_score_gemma":0.3746824,"teacher_disagreement_score":0.17160572,"about_ca_system_score_codex":0.0010911251,"about_ca_system_score_gemma":0.0006707145,"threshold_uncertainty_score":0.3412137},"labels":[],"label_agreement":null},{"id":"W2122717238","doi":"10.1111/gcbb.12259","title":"Carbon dioxide exchange dynamics over a mature switchgrass stand","year":2015,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":23,"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 Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Panicum virgatum; Eddy covariance; Ecosystem respiration; Primary production; Environmental science; Carbon sequestration; Bioenergy; Ecosystem; Carbon dioxide; Agronomy; Biomass (ecology); Productivity; Animal science; Biofuel; Ecology; Biology","score_opus":0.020165180931885098,"score_gpt":0.2104254995530836,"score_spread":0.1902603186211985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2122717238","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99976176,0.0000135667515,0.000020173937,0.0000024504848,4.111336e-7,7.251236e-7,0.00009426267,0.0000016729399,0.0001050231],"genre_scores_gemma":[0.9996451,0.000009342543,0.000036225047,0.0000022626193,5.9693224e-7,8.462809e-7,0.00020670264,4.1045104e-7,0.000098373675],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999969,0.0000018763419,0.0000016432339,0.000011291277,0.000008006333,0.000008188495],"domain_scores_gemma":[0.9999093,0.0000099687795,0.00001872854,0.0000034322002,0.000032397962,0.000026188874],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007633317,0.00019216115,0.00011897785,0.0002579924,0.00024886068,0.00029143534,0.0001362729,0.000116488554,0.00038571632],"category_scores_gemma":[0.0001168519,0.000068127796,0.00010947038,0.0002048582,0.000109622044,0.00012204442,0.000120980156,0.00007880976,0.000050009294],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0002360706,0.000048791804,0.9447136,0.00002040146,0.00007771697,0.00032477887,0.00027841658,0.0020964672,0.045714322,0.000052822317,0.00019980043,0.006236875],"study_design_scores_gemma":[0.0000015050626,0.000019270205,0.998389,8.5309773e-7,0.000005540284,0.000019406141,0.00007002717,0.0010875612,0.00031345803,0.0000052334835,0.0000859197,0.0000022616648],"about_ca_topic_score_codex":0.17827718,"about_ca_topic_score_gemma":0.3857413,"teacher_disagreement_score":0.17827718,"about_ca_system_score_codex":0.0010532878,"about_ca_system_score_gemma":0.00039720972,"threshold_uncertainty_score":0.354479},"labels":[],"label_agreement":null},{"id":"W2131112911","doi":"10.1111/gcbb.12062","title":"Implications of land class and environmental factors on life cycle <scp>GHG</scp> emissions of Miscanthus as a bioenergy feedstock","year":2013,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":40,"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 Agriculture, Food and Rural Affairs; University of Toronto; University of Waterloo; University of Guelph; Saskatchewan Research Council (Canada)","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Miscanthus; Greenhouse gas; Environmental science; Life-cycle assessment; Energy crop; Bioenergy; Land use, land-use change and forestry; Biomass (ecology); Agroforestry; Land use; Biofuel; Agronomy; Production (economics); Waste management; Engineering; Ecology; Economics","score_opus":0.012176759765401437,"score_gpt":0.19665580802756413,"score_spread":0.1844790482621627,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2131112911","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9973109,0.000059897644,0.00015995388,0.00002234637,0.0000011389677,0.000013424986,0.00029843333,0.0000035912103,0.002130273],"genre_scores_gemma":[0.9990964,0.000047851747,0.00012432993,0.0000056182625,3.7418437e-7,0.000004178209,0.00018187199,0.000002213881,0.00053712085],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99982005,0.00004204903,0.0000056936383,0.000021434349,0.00005805827,0.0000527655],"domain_scores_gemma":[0.99976784,0.00007213263,0.00003519432,0.000013528706,0.00008072826,0.00003060647],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031777105,0.00029494645,0.00013335336,0.00025265652,0.00055183104,0.0006280363,0.0004598474,0.00017629037,0.0020421534],"category_scores_gemma":[0.00028603425,0.000081691614,0.00030752574,0.0004801027,0.0004460759,0.00027591104,0.00019011725,0.00010976986,0.00013165135],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0028567116,0.0002040174,0.5269045,0.00042714135,0.00025540375,0.001722144,0.00047922766,0.22138137,0.2132929,0.0016460795,0.0009890243,0.029841457],"study_design_scores_gemma":[0.00004079128,0.0007659979,0.9166476,0.000022830349,0.0001138267,0.00019825072,0.0017368953,0.04099886,0.033385254,0.00047957234,0.005579441,0.000030593008],"about_ca_topic_score_codex":0.49796566,"about_ca_topic_score_gemma":0.71406084,"teacher_disagreement_score":0.49796566,"about_ca_system_score_codex":0.00735269,"about_ca_system_score_gemma":0.0013197786,"threshold_uncertainty_score":0.99013436},"labels":[],"label_agreement":null},{"id":"W2132523108","doi":"10.1111/j.1757-1707.2011.01131.x","title":"A geography‐based critique of new <scp>US</scp> biofuels regulations","year":2011,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","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":"Carleton University; University of Ottawa","funders":"","keywords":"Biofuel; Greenhouse gas; Corn ethanol; Biomass (ecology); Gasoline; Renewable energy; Environmental science; Bioenergy; Ethanol fuel; Renewable fuels; Life-cycle assessment; Production (economics); Renewable resource; Natural resource economics; Agricultural engineering; Agronomy; Waste management; Engineering; Economics; Ecology; Biology","score_opus":0.019468310372621915,"score_gpt":0.2097432422712266,"score_spread":0.19027493189860467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2132523108","genre_codex":"commentary","genre_gemma":"commentary","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"commentary","genre_consensus":"commentary","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.010484567,0.010318401,0.009507588,0.85640764,0.0058754166,0.000033018205,0.00065766036,0.00016511558,0.10655062],"genre_scores_gemma":[0.45196724,0.014225696,0.011902007,0.47873035,0.011825156,0.0002093382,0.0006577261,0.00038184287,0.030100742],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98552793,0.0038037102,0.00073797593,0.002025498,0.007332144,0.0005727565],"domain_scores_gemma":[0.9713301,0.016770326,0.002118564,0.0022564647,0.007113881,0.00041065205],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015395107,0.00068291475,0.0007323864,0.0024173856,0.0020293274,0.005720494,0.0035233847,0.0059992406,0.0024384544],"category_scores_gemma":[0.029780326,0.00045099622,0.0010968748,0.0029604225,0.016009936,0.0061415895,0.0030166411,0.012704285,0.000891117],"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":[0.00003334029,0.00001963473,0.0012595658,0.0001586017,0.00002907504,0.0001619521,0.0014879493,0.0015455773,0.00035993164,0.8369034,0.13651554,0.021525444],"study_design_scores_gemma":[0.000019555997,0.000025436913,0.004146564,0.00045624844,0.00003354258,0.0001587191,0.0012916484,0.0010459335,0.00075799075,0.18479717,0.807215,0.000052209838],"about_ca_topic_score_codex":0.04947766,"about_ca_topic_score_gemma":0.03335311,"teacher_disagreement_score":0.04947766,"about_ca_system_score_codex":0.008243759,"about_ca_system_score_gemma":0.00734053,"threshold_uncertainty_score":0.09837937},"labels":[],"label_agreement":null},{"id":"W2143495932","doi":"10.1111/j.1757-1707.2012.01159.x","title":"Microalgae for phosphorus removal and biomass production: a six species screen for dual‐purpose organisms","year":2012,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Algal biology and biofuel production","field":"Energy","cited_by":48,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Tetraselmis suecica; Phosphorus; Chlorella; Tetraselmis; Biomass (ecology); Biology; Scenedesmus; Nutrient; Botany; Food science; Algae; Animal science; Chemistry; Ecology","score_opus":0.023950933222285583,"score_gpt":0.23999287181520176,"score_spread":0.21604193859291618,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2143495932","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99162954,0.0007899251,0.005161184,0.00015678315,0.000025301417,0.00014184605,0.0007284772,0.00014968931,0.0012172706],"genre_scores_gemma":[0.9749703,0.00096266484,0.01816364,0.00018559469,0.000008065087,0.00017946422,0.001423743,0.000041968626,0.004064606],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9996921,0.000045379453,0.000029858822,0.00005475185,0.00014526078,0.00003267802],"domain_scores_gemma":[0.9997707,0.00004188143,0.000042129155,0.000028430239,0.00006124414,0.00005562348],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027479767,0.00072962814,0.000518019,0.0005851561,0.00028180855,0.00038193967,0.00034843598,0.00052546535,0.00089675427],"category_scores_gemma":[0.000201365,0.00028780574,0.0005376834,0.00039313198,0.00015667519,0.00014618658,0.0004966867,0.00032084502,0.00042927088],"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":[0.000026467345,0.000020722218,0.00027636447,0.000014224797,0.000003677668,0.000018272773,0.000004371998,0.000020435027,0.9989969,0.000004373416,0.000012185997,0.00060195406],"study_design_scores_gemma":[0.000021365708,0.0011056449,0.011719268,0.000008356014,0.00005229178,0.00032082616,0.0000562443,0.0005989159,0.9845649,0.00002059179,0.0015188258,0.000012771986],"about_ca_topic_score_codex":0.000726743,"about_ca_topic_score_gemma":0.0023279884,"teacher_disagreement_score":0.00089675427,"about_ca_system_score_codex":0.00020907658,"about_ca_system_score_gemma":0.00021676261,"threshold_uncertainty_score":0.0029999614},"labels":[],"label_agreement":null},{"id":"W2144962220","doi":"10.1111/j.1757-1707.2012.01181.x","title":"Assessing the potential of wildfires as a sustainable bioenergy opportunity","year":2012,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":22,"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":"CYTED Ciencia y Tecnología para el Desarrollo; International Development Research Centre; Inter-American Institute for Global Change Research; National Science Foundation","keywords":"Bioenergy; Greenhouse gas; Environmental science; Fossil fuel; Biomass (ecology); Natural resource economics; Biofuel; Land use; Agroforestry; Environmental protection; Ecology; Economics","score_opus":0.011173578677291043,"score_gpt":0.25011937916304106,"score_spread":0.23894580048575,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2144962220","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9925575,0.00028572854,0.0021771013,0.00011602377,0.000009502627,0.000015095446,0.00017036688,0.0000064280525,0.004662198],"genre_scores_gemma":[0.9990484,0.00011149919,0.00056067586,0.000014589444,0.000004067928,0.000004065927,0.000058246187,0.0000013582701,0.00019710971],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999605,0.00019846839,0.000016980279,0.000038736584,0.00008190398,0.000059013368],"domain_scores_gemma":[0.9985178,0.00080915843,0.00027683328,0.00006189072,0.00016289948,0.00017126805],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0014419889,0.0002777165,0.0001788831,0.0005307399,0.00026562382,0.001049613,0.00023402623,0.0005909545,0.001918758],"category_scores_gemma":[0.0021740121,0.000089073794,0.00035058896,0.0005282855,0.00032991363,0.0011504561,0.0005480601,0.00038737344,0.00014453415],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000381655,0.00021874945,0.90464574,0.00008650384,0.00024737403,0.0003325881,0.00011994978,0.05586872,0.003912956,0.0044674855,0.0004969109,0.029221408],"study_design_scores_gemma":[0.00004413145,0.0011330339,0.7916301,0.000106708365,0.00020897127,0.00041678766,0.0037132173,0.16850811,0.0062268362,0.024465475,0.003489201,0.000057445013],"about_ca_topic_score_codex":0.0033448313,"about_ca_topic_score_gemma":0.010583897,"teacher_disagreement_score":0.0033448313,"about_ca_system_score_codex":0.0005661851,"about_ca_system_score_gemma":0.0003357063,"threshold_uncertainty_score":0.0076260567},"labels":[],"label_agreement":null},{"id":"W2158523516","doi":"10.1111/gcbb.12249","title":"Changes in soil carbon stocks under perennial and annual bioenergy crops","year":2015,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":102,"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":"Perennial plant; Miscanthus; Environmental science; Agronomy; Arable land; Soil carbon; Bioenergy; Biomass (ecology); Agroforestry; Greenhouse gas; Agriculture; Biology; Soil water; Biofuel; Soil science; Ecology","score_opus":0.027626358902266154,"score_gpt":0.21849400562659577,"score_spread":0.1908676467243296,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158523516","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997775,0.000031957454,0.00003186296,0.0000011134308,4.4151275e-7,9.885291e-7,0.00007443607,0.0000014552764,0.00008022572],"genre_scores_gemma":[0.99958736,0.000026937154,0.000071754635,0.0000034271973,8.104891e-7,0.0000037335194,0.00019046542,6.633466e-7,0.00011475569],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99991715,0.000011820182,0.000009070716,0.000026728902,0.000015182916,0.000020070138],"domain_scores_gemma":[0.99962413,0.000068379646,0.0001432548,0.000025642294,0.000058836074,0.000079690435],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002692424,0.0001960955,0.00015057474,0.00045439045,0.0001616099,0.00032437957,0.0001799614,0.00015907716,0.0005088925],"category_scores_gemma":[0.00021214431,0.000084335144,0.00013324532,0.0003172386,0.00016317194,0.00036296117,0.00019930585,0.00015324351,0.00007514932],"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":[0.0011134705,0.00015152857,0.40939784,0.00012421265,0.00016872713,0.00016028188,0.00025275108,0.0014674533,0.5757611,0.00010314683,0.00006573854,0.011233756],"study_design_scores_gemma":[0.0000032106632,0.00016746134,0.99287635,0.0000014503674,0.000010914084,0.000028843355,0.000068847294,0.0005009178,0.006211625,0.000019564208,0.00010768774,0.0000030432636],"about_ca_topic_score_codex":0.0028254434,"about_ca_topic_score_gemma":0.0043360246,"teacher_disagreement_score":0.0028254434,"about_ca_system_score_codex":0.00043263272,"about_ca_system_score_gemma":0.00012412957,"threshold_uncertainty_score":0.005617976},"labels":[],"label_agreement":null},{"id":"W2162664006","doi":"10.1111/gcbb.12063","title":"Implications of emissions timing on the cost‐effectiveness of greenhouse gas mitigation strategies: application to forest bioenergy systems","year":2013,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","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 Toronto","funders":"University of Toronto; Ministry of Natural Resources","keywords":"Greenhouse gas; Environmental science; Carbon neutrality; Climate change; Bioenergy; Biomass (ecology); Climate change mitigation; Time horizon; Natural resource economics; Environmental economics; Biofuel; Economics; Ecology; Engineering; Waste management","score_opus":0.0851328201643045,"score_gpt":0.27527550434617676,"score_spread":0.19014268418187225,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2162664006","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.872703,0.0034353859,0.07773656,0.0019662096,0.00014584015,0.0003821023,0.0005107058,0.00011588257,0.04300435],"genre_scores_gemma":[0.9879105,0.00050930073,0.010628499,0.00006532329,0.000020660065,0.00006329111,0.000040717812,0.000012709861,0.0007490081],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99850225,0.0010151828,0.000045700457,0.00008736808,0.00022196192,0.000127476],"domain_scores_gemma":[0.986561,0.011994891,0.0004856847,0.00025081576,0.00057475077,0.00013280971],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004309641,0.0010634506,0.0007079483,0.0014060845,0.0005578136,0.0018172235,0.0010398696,0.0012979036,0.0034776689],"category_scores_gemma":[0.011280839,0.000380074,0.0012097337,0.0017023367,0.0008649703,0.0021578593,0.0011997346,0.0015023935,0.000114281815],"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":[0.00022074262,0.0002098129,0.00366684,0.00019540008,0.00010020793,0.00012524845,0.000040786344,0.9518974,0.0011733625,0.01816914,0.00032425072,0.02387678],"study_design_scores_gemma":[0.00006996803,0.00048362988,0.0050739497,0.00008878296,0.00017360445,0.00006247681,0.00017417908,0.9729984,0.0020191749,0.017620789,0.0011888685,0.000046257297],"about_ca_topic_score_codex":0.012497518,"about_ca_topic_score_gemma":0.0071295383,"teacher_disagreement_score":0.012497518,"about_ca_system_score_codex":0.0038788144,"about_ca_system_score_gemma":0.0016134322,"threshold_uncertainty_score":0.02814293},"labels":[],"label_agreement":null},{"id":"W2163071890","doi":"10.1111/j.1757-1707.2012.01197.x","title":"Using ecosystem <scp>CO</scp><sub>2</sub> measurements to estimate the timing and magnitude of greenhouse gas mitigation potential of forest bioenergy","year":2012,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Plant Water Relations and Carbon Dynamics","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":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Eddy covariance; Bioenergy; Environmental science; Greenhouse gas; Biomass (ecology); Ecosystem; Forest ecology; Carbon sequestration; Agroforestry; Atmospheric sciences; Biofuel; Ecology; Carbon dioxide","score_opus":0.02118474570774494,"score_gpt":0.24273086125508703,"score_spread":0.22154611554734208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163071890","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.988858,0.00015667078,0.0059871734,0.0000277628,0.0000058863175,0.000025020105,0.0017838755,0.00012486882,0.0030306727],"genre_scores_gemma":[0.99693596,0.000044622986,0.0023820454,0.00000720083,9.445101e-7,0.0000095488895,0.00043007435,0.000010030559,0.00017962669],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999877,0.000020067993,0.0000054711422,0.000030720676,0.000048751204,0.000017950308],"domain_scores_gemma":[0.9997143,0.000090780704,0.00005897931,0.000028685152,0.00008617104,0.000021012138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004175842,0.0003414973,0.00014698524,0.0004892043,0.00031953337,0.00056795386,0.00035890628,0.00032344172,0.00075207854],"category_scores_gemma":[0.00051431474,0.000105792526,0.00016971909,0.001011378,0.0002364395,0.0005275541,0.00018396499,0.0002538152,0.00012267915],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044836124,0.00022601163,0.7700675,0.00013789225,0.00022675689,0.00013918836,0.00011298582,0.08147901,0.11038996,0.00095035374,0.00074474484,0.03507716],"study_design_scores_gemma":[0.000023889223,0.00009932072,0.7309623,0.00001680719,0.000062528234,0.00005711222,0.00016325244,0.18695074,0.0793559,0.0005258665,0.001746725,0.000035468718],"about_ca_topic_score_codex":0.18670277,"about_ca_topic_score_gemma":0.30081433,"teacher_disagreement_score":0.18670277,"about_ca_system_score_codex":0.0016546061,"about_ca_system_score_gemma":0.0009108346,"threshold_uncertainty_score":0.3712321},"labels":[],"label_agreement":null},{"id":"W2228013943","doi":"10.1111/gcbb.12327","title":"Range and uncertainties in estimating delays in greenhouse gas mitigation potential of forest bioenergy sourced from Canadian forests","year":2015,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":84,"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; Natural Resources Canada; Canadian Forest Service","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Canada","keywords":"Bioenergy; Greenhouse gas; Fossil fuel; Environmental science; Natural gas; Biofuel; Biomass (ecology); Carbon sequestration; Coal; Agroforestry; Ecology; Waste management; Engineering; Carbon dioxide; Biology","score_opus":0.010621633281587939,"score_gpt":0.21017249263149615,"score_spread":0.1995508593499082,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2228013943","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9869826,0.00028380626,0.0076939906,0.0001399487,0.000008957343,0.00005107171,0.002201088,0.00006236455,0.0025761023],"genre_scores_gemma":[0.9974962,0.00005593626,0.0014149741,0.000012511945,0.0000014575746,0.000010182505,0.00074484514,0.0000050190906,0.00025895],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99860376,0.00025463785,0.00008982749,0.00035522177,0.0004195062,0.00027701422],"domain_scores_gemma":[0.9927331,0.0046857977,0.00085861905,0.000322042,0.0012296445,0.00017072298],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0037773238,0.00072056777,0.00036945596,0.0012897471,0.0007971138,0.0016686075,0.0011410933,0.0006318116,0.0008236655],"category_scores_gemma":[0.014386953,0.00043390875,0.0009452997,0.0015148153,0.0007320414,0.0009108655,0.00068694283,0.0007449584,0.00006741496],"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":[0.0003080729,0.00002886132,0.116335236,0.000060613012,0.00022633375,0.00018332667,0.00011431563,0.87197727,0.0014723458,0.001918034,0.0002891415,0.007086407],"study_design_scores_gemma":[0.00003482999,0.0001374435,0.20819451,0.000059053815,0.00017427954,0.00009609241,0.0006314895,0.78161645,0.004637944,0.0021277445,0.0021603429,0.00012977618],"about_ca_topic_score_codex":0.86608595,"about_ca_topic_score_gemma":0.7690548,"teacher_disagreement_score":0.13391405,"about_ca_system_score_codex":0.015605058,"about_ca_system_score_gemma":0.0071130963,"threshold_uncertainty_score":0.26940536},"labels":[],"label_agreement":null},{"id":"W2238481314","doi":"10.1111/gcbb.12338","title":"Bioenergy production and sustainable development: science base for policymaking remains limited","year":2016,"lang":"en","type":"review","venue":"GCB Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":99,"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":"Ciência sem Fronteiras; Svenska Forskningsrådet Formas; Stiftung Mercator Schweiz; Seventh Framework Programme; Social Sciences and Humanities Research Council of Canada; Stiftung Mercator; European Research Council; Vetenskapsrådet; Österreichischen Akademie der Wissenschaften; Vlaamse Interuniversitaire Raad; Conselho Nacional de Desenvolvimento Científico e Tecnológico; European Commission","keywords":"Bioenergy; Production (economics); Sustainable development; Biofuel; Natural resource economics; Environmental science; Business; Engineering; Economics; Biology; Waste management; Ecology","score_opus":0.03382625435945029,"score_gpt":0.2757655772429557,"score_spread":0.2419393228835054,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2238481314","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.00012896553,0.98593104,0.00050069945,0.010528271,0.0007430676,0.000013973608,0.00005536175,0.000008557999,0.0020899512],"genre_scores_gemma":[0.004183868,0.9911839,0.0009806451,0.0026008321,0.00059226935,0.00003745659,0.00007440889,0.000006354344,0.00034028248],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99364567,0.0026906796,0.000936397,0.000726883,0.001714865,0.00028563995],"domain_scores_gemma":[0.9245011,0.063029654,0.0032619445,0.0020673976,0.00633359,0.0008062722],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.015901795,0.0013234484,0.003793751,0.0053179306,0.0011564118,0.006956967,0.00234301,0.0058189468,0.011140872],"category_scores_gemma":[0.03889578,0.00071296224,0.002349802,0.008787553,0.0038425254,0.010503905,0.0041403156,0.007204728,0.0032775952],"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":[0.000096063945,0.00009055745,0.0004627302,0.1285429,0.00059469027,0.00022401431,0.0005643421,0.001105917,0.00084647635,0.07345674,0.039836142,0.75417936],"study_design_scores_gemma":[0.00002735745,0.000057538386,0.00092522,0.17135245,0.0006486312,0.00026460201,0.0011978142,0.00031790722,0.0004253148,0.06296661,0.76176727,0.000049263468],"about_ca_topic_score_codex":0.004374276,"about_ca_topic_score_gemma":0.0054316423,"teacher_disagreement_score":0.015901795,"about_ca_system_score_codex":0.0038061135,"about_ca_system_score_gemma":0.02379213,"threshold_uncertainty_score":0.08409768},"labels":[],"label_agreement":null},{"id":"W2297436545","doi":"10.1111/gcbb.12344","title":"Genotype × environment interaction analysis of North American shrub willow yield trials confirms superior performance of triploid hybrids","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":54,"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 Montréal; University of Saskatchewan","funders":"South Dakota State University; European Social Fund; U.S. Department of Energy","keywords":"Willow; Ammi; Shrub; Hybrid; Biology; Agronomy; Cultivar; Gene–environment interaction; Trait; Ideotype; Plant breeding; Biotechnology; Genotype; Botany","score_opus":0.03421042789498078,"score_gpt":0.2285947438061664,"score_spread":0.19438431591118563,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2297436545","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99850273,0.000040426647,0.00044189513,0.0000059866566,0.0000020238824,0.0000073058795,0.0007170764,0.000036710026,0.00024583653],"genre_scores_gemma":[0.9959318,0.000033375854,0.00089722197,0.000020441455,0.0000015160385,0.00003261303,0.0024111639,0.0000317253,0.0006402172],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9994697,0.0001448608,0.0000404983,0.00019220391,0.00009177597,0.000061021114],"domain_scores_gemma":[0.9988888,0.00041988096,0.00018077981,0.00016154187,0.0001925757,0.0001565428],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000793607,0.00037481723,0.0004615621,0.00057687616,0.00030510302,0.00042109817,0.00028710553,0.00013004037,0.0010860974],"category_scores_gemma":[0.0006895505,0.00007848847,0.0005457901,0.00061166286,0.00025763965,0.00016911783,0.00031159312,0.00034605098,0.00013525962],"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":[0.0023775485,0.00044956923,0.47610816,0.00016981643,0.0016674238,0.00039373594,0.00094892667,0.0030764202,0.48423034,0.0002626501,0.00092769915,0.029387686],"study_design_scores_gemma":[0.0000071819595,0.00038975428,0.9885916,0.0000030286226,0.00012053511,0.00004680645,0.00014482695,0.0011087342,0.008822209,0.000028327184,0.0007231658,0.000013835828],"about_ca_topic_score_codex":0.033930395,"about_ca_topic_score_gemma":0.09050861,"teacher_disagreement_score":0.033930395,"about_ca_system_score_codex":0.0006391887,"about_ca_system_score_gemma":0.000574546,"threshold_uncertainty_score":0.06746578},"labels":[],"label_agreement":null},{"id":"W2304616300","doi":"10.1111/gcbb.12357","title":"Progress in upscaling <i>Miscanthus</i> biomass production for the European bio‐economy with seed‐based hybrids","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":185,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"PotashCorp (Canada)","funders":"Biotechnology and Biological Sciences Research Council; Directorate for Biological Sciences; Natural Environment Research Council; Sight Research UK; Department for Environment, Food and Rural Affairs, UK Government","keywords":"Miscanthus; Hybrid; Biomass (ecology); Energy crop; Agronomy; Bioenergy; Agroforestry; Biology; Environmental science; Biotechnology; Biofuel","score_opus":0.01465180377416722,"score_gpt":0.19721119441077312,"score_spread":0.1825593906366059,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2304616300","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.95153826,0.0029477417,0.038422927,0.00019277056,0.000051794355,0.00024363138,0.00059112464,0.0006660476,0.00534561],"genre_scores_gemma":[0.93737423,0.0013508997,0.057747275,0.00009215811,0.00001469532,0.00013551688,0.0013888467,0.00019873564,0.0016975894],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99940336,0.00013657642,0.000048435115,0.0001921479,0.00016210949,0.00005733449],"domain_scores_gemma":[0.99933004,0.00012805928,0.0001448581,0.00012401697,0.00014035309,0.00013274455],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022432907,0.0006697173,0.00037101953,0.0009005329,0.00031981128,0.0012703085,0.0010869773,0.00047260904,0.0013016156],"category_scores_gemma":[0.00081186125,0.00019642054,0.0005821929,0.0007896323,0.00031968602,0.0007592953,0.0010031158,0.0005102937,0.0004778147],"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":[0.00023289694,0.0001305467,0.0064970627,0.0002301314,0.00009434842,0.00017000976,0.00011371554,0.004635154,0.9412969,0.00048467872,0.00017145598,0.045943048],"study_design_scores_gemma":[0.00010338882,0.003789373,0.07681337,0.00012956305,0.00036686973,0.00061746297,0.00041596612,0.010911895,0.8622362,0.00063832494,0.043877356,0.00010016794],"about_ca_topic_score_codex":0.0015772802,"about_ca_topic_score_gemma":0.0021919736,"teacher_disagreement_score":0.0022432907,"about_ca_system_score_codex":0.00084474747,"about_ca_system_score_gemma":0.0004499618,"threshold_uncertainty_score":0.011863828},"labels":[],"label_agreement":null},{"id":"W2324511918","doi":"10.1111/gcbb.12362","title":"Plastid genome sequencing reveals biogeographical structure and extensive population genetic variation in wild populations of <i>Phalaris arundinacea</i> L. in north‐western Europe","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","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":"Institute of Genetics; Trinity College Dublin","keywords":"Biology; Genetic diversity; Population; Panmixia; Genetic variation; Genetic structure; Phalaris arundinacea; Botany; Genetics; Ecology","score_opus":0.01738140345881311,"score_gpt":0.20407043856070767,"score_spread":0.18668903510189455,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2324511918","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9994537,0.00008615762,0.0001498087,0.000005963944,7.5748886e-7,0.0000016718823,0.00016286926,0.000004496629,0.0001346837],"genre_scores_gemma":[0.9983889,0.00007449336,0.0004581249,0.000019838435,0.0000017950098,0.000004329385,0.0008887576,0.0000065196127,0.00015723435],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997359,0.00004237275,0.000024534462,0.00012820198,0.000040020805,0.000028937207],"domain_scores_gemma":[0.99976057,0.000060105504,0.0000822764,0.00002788254,0.000032532334,0.000036699104],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00054576306,0.00017809495,0.00026655893,0.0009543033,0.00019512285,0.00044709226,0.00023731896,0.00024267206,0.0004212961],"category_scores_gemma":[0.00030118407,0.000107008,0.00022632105,0.0007723656,0.0002495219,0.00014542179,0.00028756683,0.00017327825,0.00013689829],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00084181264,0.000104944826,0.55417985,0.00012753934,0.0005590984,0.00066847564,0.0022119884,0.0006574965,0.40477833,0.00027735016,0.0003011964,0.035291947],"study_design_scores_gemma":[0.000013704898,0.000045916935,0.99758875,0.0000072780335,0.000027450253,0.00019824477,0.00024281487,0.0002062556,0.000861437,0.000021806662,0.000782805,0.000003404795],"about_ca_topic_score_codex":0.0036510415,"about_ca_topic_score_gemma":0.006873218,"teacher_disagreement_score":0.0036510415,"about_ca_system_score_codex":0.00020163185,"about_ca_system_score_gemma":0.00011883896,"threshold_uncertainty_score":0.0072596073},"labels":[],"label_agreement":null},{"id":"W2332690551","doi":"10.1111/gcbb.12354","title":"Differences in field‐scale N<sub>2</sub>O flux linked to crop residue removal under two tillage systems in cold climates","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","cited_by":54,"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":"Ontario Ministry of Agriculture, Food and Rural Affairs","keywords":"Crop residue; Nitrous oxide; Tillage; Agronomy; Residue (chemistry); Environmental science; Greenhouse gas; Biofuel; Conventional tillage; Growing season; Crop; Crop rotation; Soil water; Chemistry; Agriculture; Soil science; Biology; Ecology","score_opus":0.017690404299018588,"score_gpt":0.2195019264805943,"score_spread":0.20181152218157572,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2332690551","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996131,0.000028249393,0.0000743132,0.000003730003,0.000002017951,0.0000026175585,0.00018431304,0.0000038139883,0.000087994886],"genre_scores_gemma":[0.9990402,0.00002507497,0.00015682998,0.000018765946,0.000004111738,0.0000107169635,0.0006207521,0.0000029939786,0.000120571596],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998429,0.000015788473,0.000012592567,0.00007134903,0.00002034972,0.000036883568],"domain_scores_gemma":[0.99939036,0.000111211266,0.00025364017,0.000036877667,0.00011534404,0.000092609356],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00036980602,0.00023935756,0.00029519232,0.00040669384,0.0003167623,0.00042340803,0.00023220279,0.00029864156,0.00051717705],"category_scores_gemma":[0.00032217716,0.00012781913,0.00031646134,0.00027096106,0.00025320513,0.00039226047,0.00020720434,0.00026182013,0.00008027044],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002208308,0.00038269444,0.7453628,0.00009605301,0.0003067187,0.00011278526,0.0001732118,0.0022640382,0.24345347,0.000060647508,0.00023950073,0.005339855],"study_design_scores_gemma":[0.0000036263875,0.00008420752,0.9969849,0.000001159775,0.000011300457,0.0000080082345,0.000029524372,0.0004153388,0.0023872405,0.0000069666326,0.00006456815,0.0000031999766],"about_ca_topic_score_codex":0.023532806,"about_ca_topic_score_gemma":0.03586206,"teacher_disagreement_score":0.023532806,"about_ca_system_score_codex":0.00080970116,"about_ca_system_score_gemma":0.0003043297,"threshold_uncertainty_score":0.046791673},"labels":[],"label_agreement":null},{"id":"W2477903795","doi":"10.1111/gcbb.12387","title":"Climate change mitigation potential of local use of harvest residues for bioenergy in Canada","year":2016,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":59,"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; Government of Canada","keywords":"Bioenergy; Environmental science; Climate change; Climate change mitigation; Electricity; Greenhouse gas; Agroforestry; Environmental protection; Biofuel; Ecology; Engineering; Biology","score_opus":0.017501907605699623,"score_gpt":0.20916478390429064,"score_spread":0.19166287629859102,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2477903795","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.98944926,0.00034248803,0.0012251816,0.0002429009,0.000006442457,0.000021090747,0.0039469916,0.00007092879,0.0046946686],"genre_scores_gemma":[0.9974406,0.00015080965,0.0005354652,0.000023588054,0.00000103463,0.0000062185163,0.00093491003,0.000006358084,0.00090103707],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9997906,0.000018247814,0.0000048805623,0.000034182132,0.0000591681,0.00009297739],"domain_scores_gemma":[0.99970454,0.000033436852,0.00003415573,0.00001318653,0.00016466218,0.000049930688],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00024796659,0.00048897165,0.00024750386,0.00056461233,0.0008519475,0.0010037232,0.0007232195,0.00028217203,0.0015767607],"category_scores_gemma":[0.0004788705,0.0001872185,0.00076667365,0.0010800275,0.00042803132,0.000379907,0.00045408212,0.00032818384,0.0001196725],"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":[0.00028553038,0.0000683836,0.3682179,0.00015005512,0.0003722607,0.0002716595,0.00018791192,0.60618734,0.0037883685,0.0020745941,0.003083487,0.015312609],"study_design_scores_gemma":[0.00007267089,0.000082646664,0.43393177,0.00008039555,0.00026923287,0.00008322935,0.0015057852,0.55133474,0.0038659836,0.0010583223,0.007600089,0.00011514254],"about_ca_topic_score_codex":0.9881572,"about_ca_topic_score_gemma":0.99064505,"teacher_disagreement_score":0.025289446,"about_ca_system_score_codex":0.025289446,"about_ca_system_score_gemma":0.015744017,"threshold_uncertainty_score":0.1834886},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9772396,0.0010392352,0.0061125713,0.00023048294,0.000011533921,0.0001637024,0.009608308,0.000104924104,0.0054896222],"genre_scores_gemma":[0.98453414,0.0005006434,0.00883598,0.000057402005,0.000002584434,0.000049260485,0.0044452096,0.000021575795,0.0015532279],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99927276,0.00008943167,0.000024278432,0.00011059947,0.00031661833,0.00018627485],"domain_scores_gemma":[0.9989536,0.00014735947,0.000076816694,0.000052284013,0.00071570685,0.00005422593],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0011546655,0.0007352512,0.00052607624,0.0019044608,0.0012557971,0.0008790436,0.00082868146,0.00027465206,0.00112606],"category_scores_gemma":[0.0018555605,0.0002942959,0.0014506059,0.0043335487,0.00047749802,0.00040312266,0.0005804454,0.00048112936,0.00008793269],"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":[0.00048319992,0.00016416995,0.3865758,0.0004106627,0.0014706075,0.00021513074,0.00024585458,0.54106027,0.004492777,0.0055556996,0.003360969,0.055965003],"study_design_scores_gemma":[0.00009295066,0.0001439983,0.61267143,0.00010435536,0.00078189524,0.00006624645,0.0014626309,0.35857826,0.005909949,0.00242052,0.017646272,0.00012149787],"about_ca_topic_score_codex":0.99405473,"about_ca_topic_score_gemma":0.995375,"teacher_disagreement_score":0.04911468,"about_ca_system_score_codex":0.04911468,"about_ca_system_score_gemma":0.034467347,"threshold_uncertainty_score":0.35635364},"labels":[],"label_agreement":null},{"id":"W2606523391","doi":"10.1111/gcbb.12445","title":"Status and prospects for renewable energy using wood pellets from the southeastern United States","year":2017,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":69,"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; Canadian Forest Service; University of Toronto","funders":"Oak Ridge National Laboratory; Bioenergy Technologies Office; UT-Battelle; Battelle; Engineering and Physical Sciences Research Council; U.S. Department of Energy","keywords":"Bioenergy; Business; Ecosystem services; Sustainability; Renewable energy; Certified wood; Forest management; Incentive; Natural resource economics; Context (archaeology); Agroforestry; Biodiversity; Environmental science; Agricultural economics; Environmental protection; Environmental resource management; Ecosystem; Geography; Economics; Engineering; Ecology","score_opus":0.022399624348438313,"score_gpt":0.24366506022189968,"score_spread":0.22126543587346137,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2606523391","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.10779008,0.78001463,0.0014285293,0.04296874,0.0015039318,0.000037355185,0.003040301,0.00008386797,0.06313257],"genre_scores_gemma":[0.34944192,0.6276769,0.003197039,0.0077315723,0.0005966573,0.00005795729,0.0040991604,0.000030995066,0.007167822],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.99978894,0.00004571756,0.000034745506,0.00002403017,0.00007471736,0.000031775322],"domain_scores_gemma":[0.998033,0.00048190012,0.00046674922,0.000038933897,0.00078109745,0.0001984261],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0013008807,0.0001887953,0.00018745984,0.0012068413,0.00044344706,0.0017717817,0.00026752744,0.00051509525,0.0047154836],"category_scores_gemma":[0.0012626479,0.00007892807,0.00044462082,0.0017928171,0.0003712387,0.0009814388,0.0007260332,0.0007477051,0.00043320266],"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":[0.0002756053,0.00015514246,0.091710106,0.0068300716,0.0002228064,0.00084228994,0.0007222495,0.00084189844,0.0035288178,0.01695456,0.05645049,0.821466],"study_design_scores_gemma":[0.000014869331,0.000298083,0.18882646,0.013065279,0.00021132382,0.0006869155,0.00400874,0.0006126748,0.0012952471,0.0056188195,0.7853083,0.000053323314],"about_ca_topic_score_codex":0.025145326,"about_ca_topic_score_gemma":0.06058029,"teacher_disagreement_score":0.025145326,"about_ca_system_score_codex":0.0008608039,"about_ca_system_score_gemma":0.002291558,"threshold_uncertainty_score":0.049997926},"labels":[],"label_agreement":null},{"id":"W2770924879","doi":"10.1111/gcbb.12489","title":"Biochars from local agricultural waste residues contribute to soil quality and plant growth in a Cerrado region (Brazil) Arenosol","year":2017,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Management and Crop Yield","field":"Agricultural and Biological Sciences","cited_by":58,"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; Universidade Federal de Mato Grosso do Sul; Belmont Forum","keywords":"Biochar; Agronomy; Environmental science; Soil water; Nutrient; Biomass (ecology); Charcoal; Chicken manure; Slash-and-char; Manure; Amendment; Soil quality; Pyrolysis; Soil organic matter; Chemistry; Biology; Ecology; Soil science","score_opus":0.0346247001927632,"score_gpt":0.24521411830252415,"score_spread":0.21058941810976095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2770924879","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99932826,0.000096119285,0.00007528404,0.000027297998,0.0000014845125,0.000004893337,0.00009202273,0.000003554527,0.00037121717],"genre_scores_gemma":[0.99911505,0.000119885546,0.00030724815,0.000019031126,0.0000010912518,0.000005073009,0.00011982189,0.000004788338,0.0003080509],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99985147,0.000017781176,0.000009229839,0.000052093645,0.000030948642,0.00003852014],"domain_scores_gemma":[0.99980575,0.000024423578,0.00006831255,0.00001660796,0.000063254745,0.000021602526],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020894305,0.0002787614,0.00023203304,0.00042622007,0.00041662037,0.0003703864,0.00019019812,0.00019077897,0.0005742068],"category_scores_gemma":[0.00020590411,0.00011320134,0.00030194453,0.00048730776,0.00030487243,0.00016561677,0.0002480252,0.00016978658,0.000092144284],"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":[0.0006489628,0.0003289069,0.26466385,0.0004549576,0.00017103819,0.0013211609,0.0025292505,0.0008653056,0.69625914,0.00043520966,0.00032502617,0.03199717],"study_design_scores_gemma":[0.000012144569,0.00037821566,0.94777286,0.000041258332,0.00009078768,0.0003907555,0.0026175634,0.0008064239,0.043032195,0.00007629765,0.004762813,0.000018668197],"about_ca_topic_score_codex":0.058500666,"about_ca_topic_score_gemma":0.1912615,"teacher_disagreement_score":0.058500666,"about_ca_system_score_codex":0.0006976165,"about_ca_system_score_gemma":0.0005579559,"threshold_uncertainty_score":0.11632031},"labels":[],"label_agreement":null},{"id":"W2780619188","doi":"10.1111/gcbb.12498","title":"Poplar and shrub willow energy crops in the United States: field trial results from the multiyear regional feedstock partnership and yield potential maps based on the PRISM‐ELM model","year":2017,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":81,"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":"Bioenergy Technologies Office; Ministry of Natural Resources; New York State Energy Research and Development Authority; South Dakota State University; U.S. Department of Energy; University of Minnesota; U.S. Department of Agriculture","keywords":"Willow; Bioenergy; Biomass (ecology); Short rotation coppice; Agronomy; Environmental science; Agroforestry; Miscanthus; Woody plant; Shrub; Range (aeronautics); Energy crop; Biofuel; Biology; Botany; Ecology; Engineering","score_opus":0.0653474014853282,"score_gpt":0.23643966467995153,"score_spread":0.17109226319462334,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2780619188","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99801385,0.00003586865,0.00076135405,0.000016705848,0.0000011322755,0.000019605872,0.0006177536,0.000034567514,0.0004990556],"genre_scores_gemma":[0.9964546,0.000039893443,0.0016719307,0.000014850801,8.2605425e-7,0.000031703923,0.0014673362,0.00000984045,0.00030895974],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9995003,0.00028343714,0.000024202025,0.000084066945,0.00007947724,0.000028556115],"domain_scores_gemma":[0.99821645,0.0010516384,0.00017648228,0.00016872128,0.0002967087,0.00009000485],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0030313418,0.0003332956,0.00030533146,0.00024307682,0.00018362694,0.00031371065,0.00053372746,0.0001995675,0.00056879624],"category_scores_gemma":[0.0017431115,0.00011335883,0.00047144282,0.0004520635,0.00018362551,0.0005115289,0.00036066808,0.00029061682,0.00009460071],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.002573138,0.0023055815,0.58723474,0.000224698,0.00072026823,0.0003409706,0.0004551365,0.34028786,0.013285616,0.0013095068,0.0032168215,0.048045576],"study_design_scores_gemma":[0.0002681588,0.0045045987,0.5763534,0.000026967802,0.00033278443,0.00010197138,0.0009775889,0.40182298,0.011076541,0.0010119951,0.0034515713,0.00007161281],"about_ca_topic_score_codex":0.02658638,"about_ca_topic_score_gemma":0.046249803,"teacher_disagreement_score":0.02658638,"about_ca_system_score_codex":0.0009104789,"about_ca_system_score_gemma":0.000457215,"threshold_uncertainty_score":0.05286324},"labels":[],"label_agreement":null},{"id":"W2902143425","doi":"10.1111/gcbb.12583","title":"Willow production during 12 consecutive years—The effects of harvest rotation, planting density and cultivar on biomass yield","year":2018,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","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":"Willow; Sowing; Cutting; Short rotation forestry; Coppicing; Biomass (ecology); Short rotation coppice; Cultivar; Agronomy; Yield (engineering); Environmental science; Horticulture; Biology; Woody plant; Botany","score_opus":0.010914307941865738,"score_gpt":0.1923320666960712,"score_spread":0.18141775875420546,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2902143425","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9996681,0.00006244187,0.000057711077,0.0000025504903,0.0000020017499,0.0000048885117,0.000095747346,0.0000036825966,0.00010288004],"genre_scores_gemma":[0.9990607,0.000055935692,0.00015220973,0.000008092439,0.0000022848817,0.0000141303135,0.0003646399,0.000005160711,0.00033679744],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997168,0.000048745907,0.00002979789,0.000100631296,0.000047502275,0.000056438166],"domain_scores_gemma":[0.99922323,0.00019381882,0.00022707546,0.000062189785,0.00008968516,0.00020402546],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005387864,0.0004364388,0.0004019147,0.0003994499,0.00027249265,0.0006050772,0.00027149686,0.00019628444,0.00081541494],"category_scores_gemma":[0.000590523,0.00020499731,0.0004620122,0.00037472148,0.00022197168,0.00046938527,0.00044387786,0.00043478052,0.0001869274],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0042897216,0.00094784,0.6513916,0.000118259486,0.0005052262,0.00027640624,0.0004975374,0.00089419924,0.32578444,0.00007051259,0.00017485354,0.01504938],"study_design_scores_gemma":[0.0000045344646,0.00053180463,0.9948377,0.0000021035817,0.000025820847,0.000019789244,0.00008712899,0.00022921742,0.004077711,0.000009151889,0.00017037615,0.000004470657],"about_ca_topic_score_codex":0.0034870927,"about_ca_topic_score_gemma":0.00727219,"teacher_disagreement_score":0.0034870927,"about_ca_system_score_codex":0.0005849615,"about_ca_system_score_gemma":0.00027359775,"threshold_uncertainty_score":0.00693357},"labels":[],"label_agreement":null},{"id":"W2915414925","doi":"10.1111/gcbb.12606","title":"Biomass yield in a genetically diverse <i>Miscanthus sinensis</i> germplasm panel evaluated at five locations revealed individuals with exceptional potential","year":2019,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":29,"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":"Biological and Environmental Research; Office of Science","keywords":"Miscanthus sinensis; Miscanthus; Germplasm; Biology; Biomass (ecology); Agronomy; Temperate climate; Botany; Ecology; Bioenergy","score_opus":0.022349566042778005,"score_gpt":0.20717712589388876,"score_spread":0.18482755985111077,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2915414925","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99911433,0.00003938779,0.000309413,0.000007312181,0.0000018578585,0.000008093669,0.00019209727,0.000014841529,0.00031253017],"genre_scores_gemma":[0.9968836,0.00003955629,0.0009855217,0.000025550225,0.0000021320861,0.00002073925,0.0013064977,0.000021789336,0.0007145648],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9998331,0.000028100369,0.000026086527,0.000058748676,0.000030277673,0.00002363104],"domain_scores_gemma":[0.99975723,0.00004547963,0.00004314673,0.000038665636,0.00004683828,0.0000686963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00029024552,0.00031394997,0.00031993448,0.0005389618,0.00036891497,0.00022772455,0.00028131084,0.00015359271,0.0007406659],"category_scores_gemma":[0.00015555236,0.00013701322,0.0002459391,0.0004899005,0.00015234808,0.00019465253,0.0004489669,0.00031260002,0.00017299183],"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":[0.00012749595,0.000046622496,0.008249518,0.000020615578,0.000017828861,0.000058004378,0.00009456082,0.00009278359,0.9888508,0.00002656779,0.00001948143,0.0023956993],"study_design_scores_gemma":[0.00005259692,0.0016634793,0.701381,0.000011874412,0.00014793915,0.00068357325,0.00050869,0.0021098475,0.2899921,0.000087053326,0.0033342289,0.00002765941],"about_ca_topic_score_codex":0.0021708277,"about_ca_topic_score_gemma":0.0052087996,"teacher_disagreement_score":0.0021708277,"about_ca_system_score_codex":0.0003042154,"about_ca_system_score_gemma":0.00015721335,"threshold_uncertainty_score":0.00431633},"labels":[],"label_agreement":null},{"id":"W2982816340","doi":"10.1111/gcbb.12651","title":"Spatial distribution of usable biomass feedstock and technical bioenergy potential in China","year":2019,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","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":"University of Alberta","funders":"National Natural Science Foundation of China","keywords":"Bioenergy; Biofuel; Biomass (ecology); Environmental science; Energy crop; Raw material; Cellulosic ethanol; Natural resource economics; Environmental economics; Business; Agricultural engineering; Waste management; Engineering; Ecology; Economics","score_opus":0.0033195740010280965,"score_gpt":0.17609276515074815,"score_spread":0.17277319114972006,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2982816340","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9981279,0.00007236004,0.0003016129,0.000022615746,8.4003574e-7,0.0000057486113,0.00059857627,0.00001222053,0.00085823494],"genre_scores_gemma":[0.9989229,0.000050277726,0.00019665874,0.0000030442664,7.087382e-7,0.0000046391065,0.0005295263,0.0000012719505,0.00029099223],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.999747,0.000026346688,0.000019068822,0.000062430474,0.00008204453,0.00006317783],"domain_scores_gemma":[0.99949443,0.000090228335,0.00009787724,0.000049531995,0.00019916824,0.00006871959],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046024183,0.0002690453,0.00020836492,0.0025390405,0.00027143786,0.00059328135,0.00032637134,0.00017363369,0.0007306879],"category_scores_gemma":[0.0006121411,0.00018113723,0.00039332034,0.0040695462,0.00036155817,0.000387311,0.0005198965,0.000080495025,0.00009166648],"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":[0.00010842627,0.000033891516,0.92593807,0.000097120406,0.00016376736,0.00042595214,0.0006155439,0.03337857,0.0055102543,0.002277945,0.00059703365,0.03085337],"study_design_scores_gemma":[0.000004285916,0.000019090954,0.98048145,0.0000075402677,0.000026671682,0.00004108028,0.00040819,0.016891493,0.00064971484,0.00036252424,0.0010875271,0.000020490474],"about_ca_topic_score_codex":0.09457178,"about_ca_topic_score_gemma":0.09065542,"teacher_disagreement_score":0.09457178,"about_ca_system_score_codex":0.0016188949,"about_ca_system_score_gemma":0.0010009673,"threshold_uncertainty_score":0.18804258},"labels":[],"label_agreement":null},{"id":"W2983781998","doi":"10.1111/gcbb.12661","title":"Short‐term growth response of jack pine and spruce spp. to wood ash amendment across Canada","year":2019,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest ecology and management","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":"Ministry of Natural Resources and Forestry; University of Manitoba; Lakehead University; University of Northern British Columbia; Université du Québec en Abitibi-Témiscamingue; Université TÉLUQ; University of Saskatchewan; Natural Resources Canada","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Amendment; Wood ash; Black spruce; Environmental science; Bioenergy; Soil water; Nutrient; Biomass (ecology); Agronomy; Green waste; Ecology; Biology; Taiga; Biofuel; Law; Compost; Soil science","score_opus":0.004960455292348198,"score_gpt":0.20848944618700513,"score_spread":0.20352899089465692,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2983781998","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99775666,0.00017342898,0.0001282295,0.000022561115,0.0000038484095,0.000018966015,0.00094472576,0.000011885869,0.00093974],"genre_scores_gemma":[0.9952409,0.00028291406,0.00053311884,0.00005451566,0.0000014636346,0.000022783273,0.001136639,0.000007890076,0.002719759],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997578,0.000012690434,0.000010019743,0.00006891144,0.00007699579,0.00007354456],"domain_scores_gemma":[0.99892634,0.000058407157,0.00009694517,0.000030131101,0.00074320025,0.00014495393],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00027182707,0.00031742282,0.00029381565,0.0005729566,0.0010866604,0.000566816,0.0004770949,0.00019674539,0.0007297599],"category_scores_gemma":[0.0003827501,0.00016935423,0.00024293363,0.0007060597,0.00030100756,0.00019258671,0.00026365102,0.0002812484,0.0001439423],"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":[0.0013695342,0.00022609936,0.5801828,0.00028169542,0.00018719383,0.00038878547,0.0016840546,0.0011138392,0.38554513,0.00013148543,0.0009803444,0.027909148],"study_design_scores_gemma":[0.0000036082681,0.00012965062,0.9910692,0.0000088862525,0.000026426449,0.000024474199,0.0009683768,0.00033396052,0.0062440583,0.000012703539,0.0011685105,0.00001004742],"about_ca_topic_score_codex":0.9344781,"about_ca_topic_score_gemma":0.98450375,"teacher_disagreement_score":0.065521896,"about_ca_system_score_codex":0.0071151163,"about_ca_system_score_gemma":0.0051354286,"threshold_uncertainty_score":0.1318155},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9880421,0.00037536316,0.00041414727,0.00009968469,0.000005489983,0.00002119141,0.006670371,0.00003575067,0.004335841],"genre_scores_gemma":[0.99515164,0.00022291877,0.00038058826,0.00002403196,9.061587e-7,0.000007869935,0.002529021,0.000009636718,0.0016734508],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9997447,0.0000124659355,0.000008141911,0.000060503266,0.0000931898,0.00008106809],"domain_scores_gemma":[0.9993687,0.00004223763,0.00005438812,0.000022833632,0.00045396347,0.000057724614],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021343346,0.0003659073,0.00022784728,0.0009719071,0.000790224,0.00094933924,0.00053798204,0.00014653771,0.0012081986],"category_scores_gemma":[0.0005489191,0.00019240574,0.00047212144,0.002142043,0.00035518117,0.00021452806,0.00030546627,0.00021246557,0.00012493825],"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":[0.0005218544,0.000059533875,0.9316624,0.00013047119,0.00053200015,0.00032770747,0.0010054138,0.02570918,0.015196912,0.0008250646,0.0028062123,0.021223208],"study_design_scores_gemma":[0.00000900763,0.000013434444,0.9891067,0.000015541364,0.00006732839,0.000026939022,0.0008244099,0.005132342,0.0017093538,0.00005244115,0.0030164148,0.000026105738],"about_ca_topic_score_codex":0.996234,"about_ca_topic_score_gemma":0.9974533,"teacher_disagreement_score":0.023721166,"about_ca_system_score_codex":0.023721166,"about_ca_system_score_gemma":0.011861188,"threshold_uncertainty_score":0.1721099},"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":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.39206803,0.0025640193,0.557608,0.0017825882,0.00007848952,0.0010006173,0.0011028736,0.00027190676,0.043523412],"genre_scores_gemma":[0.9632758,0.00069781055,0.03340407,0.00005196234,0.000015564445,0.00031811887,0.00020557054,0.0000104591445,0.0020206273],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99865013,0.0007593645,0.000036838126,0.00012551298,0.00028844964,0.00013971853],"domain_scores_gemma":[0.9992673,0.000326716,0.000085973545,0.000026669555,0.00021802366,0.00007535803],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0032250693,0.0014100075,0.00061383477,0.00240084,0.00080317236,0.0021449723,0.0015478057,0.0015354947,0.0015864696],"category_scores_gemma":[0.0014099206,0.0003871014,0.0012161864,0.0013870887,0.0011818317,0.0018721706,0.0016478577,0.0008093482,0.00008718783],"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":[0.00003116095,0.00010303027,0.0028043587,0.000114529445,0.00008888441,0.00018254515,0.00004165007,0.9562736,0.0006209122,0.031475738,0.00046654273,0.007797106],"study_design_scores_gemma":[0.00001220713,0.0001102274,0.0008562843,0.000034658966,0.000058011356,0.000024202689,0.000107228225,0.9882598,0.00032179896,0.009456922,0.0007426934,0.000016011467],"about_ca_topic_score_codex":0.027133228,"about_ca_topic_score_gemma":0.02025493,"teacher_disagreement_score":0.027133228,"about_ca_system_score_codex":0.004102654,"about_ca_system_score_gemma":0.003987281,"threshold_uncertainty_score":0.053950608},"labels":[],"label_agreement":null},{"id":"W3100376608","doi":"10.1111/gcbb.12778","title":"A C6/C5 co‐fermenting<i>Saccharomyces cerevisiae</i>strain with the alleviation of antagonism between xylose utilization and robustness","year":2020,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","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":"Lakehead University","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Xylose; Fermentation; Food science; Yeast; Saccharomyces cerevisiae; Antagonism; Biochemistry; Chemistry; Ethanol fuel; Lignocellulosic biomass; Biology; Botany","score_opus":0.03088715627084129,"score_gpt":0.22174887748850225,"score_spread":0.19086172121766096,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3100376608","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9936274,0.00027683136,0.0032301438,0.0001082073,0.000042315387,0.000050796527,0.0012987353,0.00021611236,0.0011494132],"genre_scores_gemma":[0.9867503,0.0002593139,0.0061698416,0.000076362274,0.000011663111,0.00005187677,0.0026515843,0.00014431271,0.003884726],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.99966836,0.000038487822,0.000051543968,0.00007750435,0.000109082575,0.000054966942],"domain_scores_gemma":[0.9998093,0.000017252816,0.000054559983,0.000035290126,0.000024572724,0.000059070422],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00015487718,0.0008224734,0.00045036,0.0003097272,0.00022387887,0.00046491006,0.000641591,0.00038728095,0.0014406568],"category_scores_gemma":[0.00016270195,0.00018028895,0.00053338084,0.0004188432,0.00020546226,0.00016026256,0.00049508887,0.00072281127,0.00049728504],"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":[0.000048987808,0.000037397447,0.000139047,0.000022579059,0.0000076997785,0.00005017746,0.000009893435,0.00005798525,0.9988588,0.000045705525,0.00003650049,0.0006852454],"study_design_scores_gemma":[0.000011788665,0.0002235139,0.0039895508,0.0000101994465,0.000032505774,0.00025881716,0.000051606345,0.0016625064,0.9918087,0.00001813868,0.0019176397,0.000014935476],"about_ca_topic_score_codex":0.0031742393,"about_ca_topic_score_gemma":0.0026863038,"teacher_disagreement_score":0.0031742393,"about_ca_system_score_codex":0.00034942944,"about_ca_system_score_gemma":0.00031241082,"threshold_uncertainty_score":0.006311536},"labels":[],"label_agreement":null},{"id":"W3102621430","doi":"10.1111/gcbb.12779","title":"Fertility management for industrial hemp production: Current knowledge and future research needs","year":2020,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Agronomic Practices and Intercropping Systems","field":"Agricultural and Biological Sciences","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":"","keywords":"Fertility; Soil fertility; Cannabis sativa; Business; Production (economics); Agroforestry; Biotechnology; Biomass (ecology); Environmental science; Agronomy; Biology; Environmental health; Population; Medicine; Economics","score_opus":0.19610683061363585,"score_gpt":0.33348944979385664,"score_spread":0.1373826191802208,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3102621430","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005957936,0.9764788,0.0012190872,0.01188056,0.00032993988,0.000036703637,0.000074480515,0.000023783981,0.003998838],"genre_scores_gemma":[0.03934572,0.95288926,0.0037220032,0.0023868664,0.00079072843,0.00006339557,0.000114732386,0.000009573372,0.0006776843],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99874425,0.0003792177,0.00018113814,0.00021082725,0.00038126583,0.00010337469],"domain_scores_gemma":[0.9879758,0.007280007,0.0017057123,0.0001834186,0.002505079,0.00035000313],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0062516546,0.00058110355,0.0012993315,0.0012214012,0.0006092469,0.003246178,0.002015398,0.0028950088,0.0046657757],"category_scores_gemma":[0.0080868155,0.0002278412,0.0006560523,0.0014712533,0.0018259438,0.0029485463,0.0011545011,0.0014971715,0.0007879242],"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":[0.0001989686,0.00036310597,0.0036618917,0.017877284,0.000071213144,0.0002265049,0.0005490218,0.0012472856,0.0020577966,0.004152638,0.008063126,0.9615312],"study_design_scores_gemma":[0.00009195482,0.0020431182,0.03089974,0.060584072,0.00084888196,0.0016332322,0.014949484,0.004092156,0.0055271983,0.043891154,0.83521676,0.00022218257],"about_ca_topic_score_codex":0.0062531387,"about_ca_topic_score_gemma":0.009667591,"teacher_disagreement_score":0.0062531387,"about_ca_system_score_codex":0.001940568,"about_ca_system_score_gemma":0.00887917,"threshold_uncertainty_score":0.03306228},"labels":[],"label_agreement":null},{"id":"W3132904063","doi":"10.1111/gcbb.12819","title":"Elevated efficiency of C<sub>3</sub> photosynthesis in bamboo grasses: A possible consequence of enhanced refixation of photorespired CO<sub>2</sub>","year":2021,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Plant Water Relations and Carbon Dynamics","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":"Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior","keywords":"Bamboo; Photosynthesis; Chloroplast; Photorespiration; Vascular bundle; Oryza sativa; Botany; Biology; Miscanthus; Photosynthetic efficiency; RuBisCO; Bioenergy; Biofuel; Ecology","score_opus":0.007492970537801398,"score_gpt":0.20748618269148525,"score_spread":0.19999321215368385,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3132904063","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9997125,0.000048065405,0.00009678185,0.0000059754243,9.164615e-7,0.0000011345328,0.00002373436,0.0000034223874,0.000107434156],"genre_scores_gemma":[0.9996669,0.000025994785,0.000115221366,0.000008517498,8.8515316e-7,0.0000019561794,0.000044310684,0.0000017451097,0.00013439188],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.999951,0.000007664954,0.0000026565929,0.00001560302,0.0000061286196,0.000016998116],"domain_scores_gemma":[0.99988985,0.000011798169,0.00003508464,0.000010022998,0.000014264992,0.000038991868],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00010501258,0.00025334858,0.00015104683,0.00021599761,0.00025438404,0.0002516607,0.00016530171,0.00023054672,0.00048643295],"category_scores_gemma":[0.00011798634,0.00013177369,0.00010635775,0.00011260276,0.00024886732,0.00014177873,0.0001476,0.00017579518,0.00012043216],"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":[0.00013231732,0.000007942326,0.011082255,0.000017074759,0.0000063484217,0.000062165695,0.00006016349,0.000025517202,0.98810834,0.0000315843,0.000009535836,0.00045683864],"study_design_scores_gemma":[0.000014325389,0.00020904341,0.89972544,0.000006141286,0.000021423852,0.0005206652,0.0003076082,0.00060905085,0.09789384,0.00012824948,0.00055477454,0.00000947394],"about_ca_topic_score_codex":0.003281752,"about_ca_topic_score_gemma":0.0032995434,"teacher_disagreement_score":0.003281752,"about_ca_system_score_codex":0.00023389708,"about_ca_system_score_gemma":0.000107854394,"threshold_uncertainty_score":0.006525278},"labels":[],"label_agreement":null},{"id":"W3142164470","doi":"10.1111/gcbb.12829","title":"Opportunities and barriers for biofuel and bioenergy production from poplar","year":2021,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Biofuel production and bioconversion","field":"Engineering","cited_by":40,"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","keywords":"Biofuel; Biomass (ecology); Bioenergy; Arable land; Renewable resource; Lignocellulosic biomass; Renewable energy; Environmental science; Raw material; Fossil fuel; Greenhouse gas; Agroforestry; Natural resource economics; Energy crop; Production (economics); Biotechnology; Agronomy; Agriculture; Waste management; Biology; Engineering; Ecology; Economics","score_opus":0.02191885910301642,"score_gpt":0.20186964081810957,"score_spread":0.17995078171509316,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3142164470","genre_codex":"empirical","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.7729151,0.06921983,0.029761055,0.035331555,0.00041065356,0.000075290656,0.00048134138,0.00015427762,0.091650836],"genre_scores_gemma":[0.9523542,0.028554808,0.0069525135,0.0016190519,0.000132192,0.000051047642,0.00048136522,0.00003728021,0.009817537],"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","domain_scores_codex":[0.99928576,0.00016776398,0.00003231816,0.0001242538,0.00017774635,0.00021224411],"domain_scores_gemma":[0.9992194,0.00029947876,0.00011583023,0.000048341117,0.0001953466,0.000121640514],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016267954,0.00028398974,0.00026278596,0.00045708084,0.0008779232,0.0032524357,0.0006465341,0.0007606344,0.0059698625],"category_scores_gemma":[0.00082404737,0.00014223343,0.00032983182,0.0007138576,0.00068836595,0.0023431836,0.0015986611,0.0015753582,0.0012488276],"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":[0.0005489015,0.0006390251,0.026766088,0.0038996106,0.00011942405,0.0037827601,0.003060851,0.003605577,0.45325238,0.18835843,0.012425969,0.30354106],"study_design_scores_gemma":[0.00003225374,0.0007175334,0.0378534,0.0019558624,0.00014227383,0.0025912486,0.020016639,0.004644048,0.10203399,0.09861866,0.73128337,0.000110736735],"about_ca_topic_score_codex":0.0013716925,"about_ca_topic_score_gemma":0.0024065042,"teacher_disagreement_score":0.0059698625,"about_ca_system_score_codex":0.0006992085,"about_ca_system_score_gemma":0.0015908154,"threshold_uncertainty_score":0.019971132},"labels":[],"label_agreement":null},{"id":"W3163317023","doi":"10.1111/gcbb.12844","title":"Applying a science‐based systems perspective to dispel misconceptions about climate effects of forest bioenergy","year":2021,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":125,"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":"Bioenergy Technologies Office; Oak Ridge National Laboratory; Sight Research UK; Koneen Säätiö; UT-Battelle; Battelle; Natural Environment Research Council; U.S. Department of Energy","keywords":"Bioenergy; Perspective (graphical); Climate change; Environmental science; Agroforestry; Natural resource economics; Biofuel; Ecology; Economics; Computer science; Biology","score_opus":0.009198492700053039,"score_gpt":0.25841598069314703,"score_spread":0.24921748799309398,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3163317023","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.041710097,0.011435007,0.6430009,0.12918799,0.0024486817,0.00033660486,0.00052438845,0.0002554772,0.17110081],"genre_scores_gemma":[0.8993134,0.0060013942,0.08350503,0.0058430457,0.0011654376,0.00043318176,0.00013279152,0.00010918031,0.0034964983],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.98855364,0.008246506,0.0003622766,0.00094639976,0.0014552774,0.00043591118],"domain_scores_gemma":[0.9475548,0.043586772,0.0019638948,0.0029935753,0.0031771115,0.0007237985],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.024310943,0.0014393664,0.0014777614,0.0040977313,0.003071197,0.0120059755,0.0040535834,0.004074861,0.006841632],"category_scores_gemma":[0.019965522,0.0006172666,0.0018588002,0.002794394,0.025462579,0.01053162,0.006110128,0.00808807,0.00045438803],"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":[0.000013001989,0.00003897427,0.0008597151,0.00021095187,0.000061117695,0.00012463574,0.00088579534,0.016541546,0.00018602771,0.9740518,0.0010715713,0.0059548966],"study_design_scores_gemma":[0.000008528386,0.000030507237,0.000330652,0.00017359399,0.000021526,0.000034478453,0.0006828376,0.010199937,0.00020537972,0.9757692,0.012528836,0.000014583179],"about_ca_topic_score_codex":0.006393759,"about_ca_topic_score_gemma":0.0066686026,"teacher_disagreement_score":0.024310943,"about_ca_system_score_codex":0.012292175,"about_ca_system_score_gemma":0.00823676,"threshold_uncertainty_score":0.12857014},"labels":[],"label_agreement":null},{"id":"W3181029913","doi":"10.1111/gcbb.12882","title":"Valorization of tree leaves waste using microwave‐assisted hydrothermal carbonization process","year":2021,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","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":"Western University","funders":"Natural Science Basic Research Program of Shaanxi Province; Fundamental Research Funds for the Central Universities; National Key Research and Development Program of China; Ministry of Agriculture and Rural Affairs of the People's Republic of China","keywords":"Hydrothermal carbonization; Hydrothermal circulation; Carbonization; Biomass (ecology); Pyrolysis; Materials science; Degradation (telecommunications); Pulp and paper industry; Kinetics; Chemical engineering; Activation energy; Nuclear chemistry; Chemistry; Agronomy; Organic chemistry; Scanning electron microscope; Composite material; Biology","score_opus":0.011995513358061784,"score_gpt":0.2115380944907301,"score_spread":0.19954258113266832,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181029913","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99670047,0.00044119998,0.0021163323,0.000014833798,0.00000675736,0.000009874167,0.000076711585,0.000025205143,0.0006086905],"genre_scores_gemma":[0.99640626,0.00026930636,0.0024674826,0.000015372625,0.0000034117845,0.000008404254,0.00010701668,0.00001074408,0.0007119676],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9999473,0.000005566082,0.0000032108442,0.000013319918,0.000017819619,0.000012818524],"domain_scores_gemma":[0.9999703,0.0000051512234,0.00000810402,0.0000037629118,0.000007570775,0.000004999359],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000084595944,0.00021739534,0.00021011216,0.00025044117,0.00011952128,0.0001982528,0.00013351279,0.0001507648,0.00046539868],"category_scores_gemma":[0.000090335765,0.00009351376,0.00020430986,0.00027851886,0.00012574848,0.00017189166,0.00012695839,0.0002498995,0.000107091095],"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":[0.000034149245,0.000004918286,0.00023328318,0.000037817543,0.0000049506057,0.0000279451,0.000016303527,0.00013077554,0.9976291,0.00003730563,0.0000132558,0.0018302479],"study_design_scores_gemma":[0.000005264434,0.000077304394,0.004119085,0.0000036343947,0.0000108480435,0.00006416245,0.000027981512,0.0010142921,0.9938036,0.000026332715,0.0008431462,0.000004330393],"about_ca_topic_score_codex":0.0007188157,"about_ca_topic_score_gemma":0.002353261,"teacher_disagreement_score":0.0007188157,"about_ca_system_score_codex":0.00014788569,"about_ca_system_score_gemma":0.00014793308,"threshold_uncertainty_score":0.0015568733},"labels":[],"label_agreement":null},{"id":"W3212954703","doi":"10.1111/gcbb.12909","title":"Control of sucrose accumulation in sugarcane (<i>Saccharum</i> spp. hybrids) involves miRNA‐mediated regulation of genes and transcription factors associated with sugar metabolism","year":2021,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Sugarcane Cultivation and Processing","field":"Agricultural and Biological Sciences","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":"Ministry of Agriculture","funders":"Natural Science Foundation of Guangxi Province; National Natural Science Foundation of China","keywords":"Biology; Sucrose; Transcriptome; Sugar; Saccharum officinarum; Sucrose synthase; Saccharum; Gene; microRNA; Carbohydrate metabolism; RNA-Seq; Botany; Gene expression; Genetics; Biochemistry; Invertase","score_opus":0.042617649330697636,"score_gpt":0.23067517371769086,"score_spread":0.18805752438699322,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3212954703","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9942768,0.00067235425,0.0024127734,0.000061606064,0.000021648604,0.000019143436,0.0011878498,0.00018814886,0.0011596152],"genre_scores_gemma":[0.9927532,0.00024315898,0.0018855507,0.00008586532,0.0000071786035,0.00003713526,0.0022557867,0.00011511919,0.002616812],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.9998733,0.000008889405,0.000008676255,0.000053255106,0.000025819374,0.000029945488],"domain_scores_gemma":[0.99984396,0.000028745178,0.00004488454,0.000012389775,0.00002385799,0.00004608697],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013003517,0.00048707207,0.0003265581,0.00031800286,0.00033017318,0.00048333046,0.0002890126,0.00028630652,0.0009942073],"category_scores_gemma":[0.00009140096,0.00022017494,0.00039401403,0.0002600659,0.00021206443,0.00023901367,0.00032711803,0.000651011,0.00028604464],"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":[0.000023773342,0.0000033098834,0.00012425576,0.000008814511,0.0000033432382,0.000011820219,0.000007426606,0.000015668313,0.9995628,0.000024419833,0.000010870942,0.00020345487],"study_design_scores_gemma":[0.000017306764,0.00014803337,0.070089735,0.000009916834,0.000085700725,0.00022595546,0.0001661065,0.0030113636,0.9217912,0.0001349611,0.004283527,0.000036187885],"about_ca_topic_score_codex":0.0027995077,"about_ca_topic_score_gemma":0.0036117448,"teacher_disagreement_score":0.0027995077,"about_ca_system_score_codex":0.000560873,"about_ca_system_score_gemma":0.00027185612,"threshold_uncertainty_score":0.005566418},"labels":[],"label_agreement":null},{"id":"W4211245055","doi":"10.1111/gcbb.12928","title":"Limited effect of wood ash application on soil quality as indicated by a multisite assessment of soil organic matter attributes","year":2022,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","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 Manitoba; Université TÉLUQ; University of Saskatchewan; Laurentian University; Natural Resources Canada; University of Northern British Columbia; Ontario Forest Research Institute; Ministry of Energy, Northern Development and Mines; Lakehead University","funders":"Natural Resources Canada; Natural Sciences and Engineering Research Council of Canada; Lakehead University","keywords":"Wood ash; Environmental science; Biomass (ecology); Soil fertility; Soil quality; Soil water; Soil organic matter; Nutrient; Bioenergy; Organic matter; Productivity; Soil carbon; Agronomy; Carbon sequestration; Nitrogen; Biofuel; Soil science; Ecology; Chemistry; Biology","score_opus":0.009784168635347174,"score_gpt":0.2500627362314993,"score_spread":0.24027856759615215,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4211245055","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9988895,0.000074782685,0.00021177567,0.00001080184,0.000003004802,0.000034640205,0.00018450855,0.000008430568,0.00058266806],"genre_scores_gemma":[0.99639785,0.00008963923,0.000901495,0.000038038554,0.0000014064851,0.00003531046,0.00039466174,0.0000062394224,0.0021353287],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.9995303,0.000054846776,0.000023057497,0.000098291486,0.00021016097,0.00008328432],"domain_scores_gemma":[0.99872416,0.00014307452,0.00019024922,0.00008767114,0.00058458664,0.00027022543],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00035441978,0.00028424384,0.00034510775,0.00029390922,0.00080323586,0.0006652295,0.0005539165,0.00023309252,0.00081866037],"category_scores_gemma":[0.00048351087,0.00016177811,0.00022557995,0.0003381688,0.00055429153,0.0001888556,0.00035605213,0.00045501738,0.00010904842],"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":[0.0036562106,0.00071756967,0.14742531,0.00014206348,0.00017628178,0.00015637792,0.0004651011,0.0006482312,0.83380973,0.0000649711,0.00017265142,0.012565511],"study_design_scores_gemma":[0.000023737435,0.0023212563,0.889278,0.0000131912375,0.00008122961,0.000044204437,0.0006505627,0.00094602257,0.1053613,0.000034654928,0.0012315289,0.0000143867355],"about_ca_topic_score_codex":0.47881505,"about_ca_topic_score_gemma":0.78818125,"teacher_disagreement_score":0.47881505,"about_ca_system_score_codex":0.0038681084,"about_ca_system_score_gemma":0.0030632392,"threshold_uncertainty_score":0.95205605},"labels":[],"label_agreement":null},{"id":"W4214480712","doi":"10.1111/gcbb.12932","title":"Carbon‐negative hydrogen production: Fundamentals for a techno‐economic and environmental assessment of HyBECCS approaches","year":2022,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Carbon Dioxide Capture Technologies","field":"Engineering","cited_by":24,"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":"Bundesministerium für Wirtschaft und Energie; Ministry of Rural Affairs","keywords":"Greenhouse gas; Environmental economics; Carbon neutrality; Hydrogen technologies; Environmental science; Renewable energy; Biomass (ecology); Carbon capture and storage (timeline); Bio-energy with carbon capture and storage; Production (economics); Environmental resource management; Climate change; Hydrogen production; Natural resource economics; Climate change mitigation; Economics; Ecology; Hydrogen economy; Hydrogen; Chemistry","score_opus":0.016991152894305733,"score_gpt":0.20035730527873227,"score_spread":0.18336615238442655,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214480712","genre_codex":"methods","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.031241078,0.010050515,0.75040436,0.0032966956,0.00036645881,0.00076890574,0.0009739402,0.00022979215,0.20266835],"genre_scores_gemma":[0.6937385,0.014469854,0.27089122,0.0004262511,0.0003931441,0.001292129,0.00082148303,0.00015996899,0.017807428],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9963516,0.000987775,0.00016477359,0.00024832378,0.0020201493,0.00022748516],"domain_scores_gemma":[0.99825186,0.0006509614,0.00018635413,0.00016802346,0.00067978667,0.000063087326],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0038080434,0.0014814833,0.0006049772,0.0037972433,0.0007247422,0.0045627556,0.0014588604,0.0014659773,0.0040626875],"category_scores_gemma":[0.0032463924,0.00041776252,0.00082965085,0.0032369061,0.0031081648,0.0034495348,0.0026402287,0.0022946063,0.0005059123],"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":[0.000039259976,0.0000874977,0.0009843088,0.0003409026,0.000036009566,0.0001194536,0.0001089372,0.13793038,0.0025082978,0.80220777,0.0026776094,0.05295952],"study_design_scores_gemma":[0.000024661691,0.00026523703,0.0028275794,0.0008403555,0.00005517241,0.0001730296,0.00053220586,0.38741776,0.007567659,0.48799574,0.11217343,0.00012718521],"about_ca_topic_score_codex":0.013506381,"about_ca_topic_score_gemma":0.007098865,"teacher_disagreement_score":0.013506381,"about_ca_system_score_codex":0.0076913806,"about_ca_system_score_gemma":0.0041120574,"threshold_uncertainty_score":0.055805147},"labels":[],"label_agreement":null},{"id":"W4214703510","doi":"10.1111/gcbb.12934","title":"Quantifying past, current, and future forest carbon stocks within agroforestry systems in central Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Agroforestry and silvopastoral systems","field":"Agricultural and Biological Sciences","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":"University of Alberta","funders":"Agriculture and Agri-Food Canada; National Natural Science Foundation of China; Alberta Biodiversity Monitoring Institute; China Scholarship Council; Ministry of Education","keywords":"Windbreak; Agroforestry; Carbon sequestration; Environmental science; Land use; Hectare; Land use, land-use change and forestry; Carbon stock; Climate change; Geography; Forestry; Agriculture; Ecology; Carbon dioxide; Biology","score_opus":0.018108692958373317,"score_gpt":0.20392035105521059,"score_spread":0.18581165809683728,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4214703510","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9913133,0.0010491658,0.00032756806,0.00008962201,0.0000064835035,0.000041266187,0.0035280217,0.000024513001,0.0036201295],"genre_scores_gemma":[0.9957449,0.00045018477,0.00077468774,0.000031296124,0.000002656198,0.000013008272,0.0016373681,0.0000038964163,0.001342038],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9996431,0.00002037781,0.000014411662,0.000060738355,0.00013829292,0.00012307995],"domain_scores_gemma":[0.9991579,0.00004683333,0.00008636761,0.000026747453,0.00050006196,0.00018215746],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00043576912,0.00041234522,0.00023084915,0.002094839,0.0015973527,0.0018034797,0.0010019849,0.00027638415,0.0010301562],"category_scores_gemma":[0.00063330133,0.00017506104,0.0002990242,0.0040051276,0.0005776712,0.00029822474,0.00054733106,0.00022126296,0.00015522995],"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":[0.00018861718,0.000052703886,0.9593175,0.000110824585,0.00013937008,0.0002364048,0.0009867365,0.004389144,0.0016612953,0.00049380603,0.0017720794,0.03065154],"study_design_scores_gemma":[0.000007973584,0.000015615005,0.9902892,0.00005884707,0.000047274352,0.000052993964,0.0025368957,0.003978391,0.00026994868,0.000099370896,0.0026282663,0.000015170998],"about_ca_topic_score_codex":0.99451494,"about_ca_topic_score_gemma":0.99832445,"teacher_disagreement_score":0.028332992,"about_ca_system_score_codex":0.028332992,"about_ca_system_score_gemma":0.020225925,"threshold_uncertainty_score":0.20557123},"labels":[],"label_agreement":null},{"id":"W4280646737","doi":"10.1111/gcbb.12951","title":"Broad‐scale wood degradation dynamics in the face of climate change: A meta‐analysis","year":2022,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Ecology and Biodiversity Studies","field":"Agricultural and Biological Sciences","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":"Ministère des Ressources naturelles et des Forêts; University of Toronto; Université Laval","funders":"","keywords":"Coarse woody debris; Environmental science; Disturbance (geology); Climate change; Context (archaeology); Scale (ratio); Forest management; Biomass (ecology); Habitat; Snag; Ecology; Biodiversity; Environmental resource management; Agroforestry; Geography; Biology","score_opus":0.043574074628131114,"score_gpt":0.2276554136350545,"score_spread":0.1840813390069234,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4280646737","genre_codex":"review","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.21557586,0.7323679,0.027583756,0.0024269982,0.0009145513,0.00040348087,0.018451199,0.0005216905,0.0017545257],"genre_scores_gemma":[0.9467692,0.040227726,0.006579734,0.00090456376,0.00014342241,0.0004763167,0.0043353024,0.00018010916,0.00038361372],"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","domain_scores_codex":[0.9904463,0.005604783,0.001354059,0.0018237717,0.0004393869,0.00033175712],"domain_scores_gemma":[0.9805462,0.014941022,0.0013629739,0.0019354407,0.0008830458,0.0003314368],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014753442,0.0019178351,0.0057462296,0.0051769125,0.0007807729,0.0028067625,0.0023732258,0.001800435,0.004140011],"category_scores_gemma":[0.023246001,0.0009808976,0.039266326,0.006630131,0.0005736281,0.0014224877,0.0018644638,0.0021887608,0.00044702642],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011592153,0.000045771707,0.06792236,0.028723305,0.8869517,0.00037527553,0.00019613186,0.004164667,0.00085299613,0.00034075096,0.0015228969,0.0077449204],"study_design_scores_gemma":[0.00021812544,0.00021914794,0.060334884,0.0045325095,0.9258952,0.00023699498,0.00023624265,0.0034293588,0.00043535914,0.0008554351,0.0035342588,0.00007231275],"about_ca_topic_score_codex":0.009065899,"about_ca_topic_score_gemma":0.013537012,"teacher_disagreement_score":0.014753442,"about_ca_system_score_codex":0.0010036104,"about_ca_system_score_gemma":0.0015534317,"threshold_uncertainty_score":0.078024626},"labels":[],"label_agreement":null},{"id":"W4284677532","doi":"10.1111/gcbb.12986","title":"Effect of anaerobic digestate fuel pellet production on <i>Enterobacteriaceae</i> and <i>Salmonella</i> persistence","year":2022,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Anaerobic Digestion and Biogas Production","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Agri-Food and Biosciences Institute; Interreg; European Commission; Queen's University; Bryden Centre, Queen's University Belfast; Queen's University Belfast","keywords":"Digestate; Anaerobic digestion; Environmental science; Enterobacteriaceae; Salmonella; Pellets; Food science; Pulp and paper industry; Anaerobic bacteria; Biology; Bacteria; Ecology; Escherichia coli; Methane; Engineering","score_opus":0.005978638919588963,"score_gpt":0.18150743538028435,"score_spread":0.17552879646069539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4284677532","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9986085,0.00036670905,0.00033762128,0.000022327868,0.0000173785,0.000018134018,0.0001501435,0.000018237019,0.00046099126],"genre_scores_gemma":[0.9970893,0.000313732,0.0011065385,0.000042463304,0.000010429099,0.000017594633,0.0003025591,0.00002026687,0.0010970843],"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","domain_scores_codex":[0.999597,0.00010368995,0.000043475924,0.000085550455,0.00008191222,0.00008840882],"domain_scores_gemma":[0.99887437,0.00045888303,0.0002937039,0.00005564038,0.00018726819,0.00012999999],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00038433587,0.0006506283,0.00050289894,0.00024146681,0.00023276317,0.00073130615,0.00028087216,0.0003988196,0.0016898385],"category_scores_gemma":[0.00081098714,0.00022223723,0.00047334077,0.00027948365,0.00024028568,0.00042288163,0.00037372008,0.00053441874,0.00032212926],"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":[0.0064567663,0.00080525904,0.0038673526,0.0002475666,0.000060054983,0.00016945243,0.000091203125,0.00057611486,0.97808444,0.000027643386,0.00009470276,0.009519395],"study_design_scores_gemma":[0.00002695024,0.008872384,0.022164537,0.000025306641,0.00010012026,0.00006614106,0.00014432985,0.000836799,0.9668942,0.000016750613,0.0008379002,0.000014574658],"about_ca_topic_score_codex":0.0017590718,"about_ca_topic_score_gemma":0.0014365894,"teacher_disagreement_score":0.0017590718,"about_ca_system_score_codex":0.00026216984,"about_ca_system_score_gemma":0.00027309373,"threshold_uncertainty_score":0.005653143},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99837106,0.000040227802,0.0010569425,0.0000047364397,0.0000015346349,0.000004698075,0.00022208753,0.000011267559,0.00028738758],"genre_scores_gemma":[0.99903935,0.0000306608,0.000553024,0.000003569255,7.6202036e-7,0.000008346556,0.00026522935,0.000005461421,0.00009364237],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99990404,0.00001866377,0.0000046598643,0.000029409595,0.000027334547,0.000015948464],"domain_scores_gemma":[0.9997929,0.00009707305,0.00004356609,0.00001748599,0.000033858905,0.000015056741],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003109059,0.00043705665,0.00020642071,0.0004127135,0.00012480145,0.00035249876,0.00024151194,0.000432754,0.00049645855],"category_scores_gemma":[0.00044078336,0.00018188801,0.00045024607,0.00069635344,0.00024978182,0.00038271982,0.00021663161,0.00023970287,0.000094931645],"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":[0.0013302624,0.00018285526,0.4678344,0.0003059424,0.00046279616,0.00034025498,0.0001430698,0.23146923,0.26712742,0.0006408093,0.00016943635,0.029993612],"study_design_scores_gemma":[0.000029509913,0.0005449948,0.5704037,0.000023092412,0.000191915,0.00014298254,0.00030440907,0.27975282,0.14678115,0.000750349,0.0010303342,0.000044740416],"about_ca_topic_score_codex":0.00360268,"about_ca_topic_score_gemma":0.0043567773,"teacher_disagreement_score":0.00360268,"about_ca_system_score_codex":0.00035685324,"about_ca_system_score_gemma":0.00014328623,"threshold_uncertainty_score":0.0071634054},"labels":[],"label_agreement":null},{"id":"W4324141667","doi":"10.1111/gcbb.13047","title":"Climate impact of diverting residual biomass to cement production","year":2023,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","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":"Government of Northwest Territories; Canadian Bio-Systems (Canada); Canadian Energy Research Institute; University of Calgary; Natural Resources Canada","funders":"Edmonton Community Foundation","keywords":"Environmental science; Biomass (ecology); Greenhouse gas; Natural gas; Bioenergy; Fossil fuel; Biofuel; Combustion; Clinker (cement); Waste management; Environmental engineering; Cement; Agronomy; Engineering; Chemistry; Ecology; Materials science","score_opus":0.0147696682076677,"score_gpt":0.2508228704243074,"score_spread":0.2360532022166397,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4324141667","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9969036,0.000039492323,0.00077319384,0.000033256252,0.0000100989755,0.000005725239,0.0002789961,0.0000341731,0.0019213957],"genre_scores_gemma":[0.99936885,0.000028089918,0.00015189945,0.0000054974553,9.915016e-7,0.0000033443114,0.00016621813,0.0000064213564,0.00026882268],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998723,0.000029232891,0.000004189022,0.00003058962,0.00002651273,0.000037225345],"domain_scores_gemma":[0.9998276,0.00006991792,0.000019881638,0.000014354663,0.00004135237,0.000026796642],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00020345685,0.0004561474,0.00028040927,0.0002479687,0.00023232283,0.00054871273,0.00040170745,0.00042134552,0.0023869209],"category_scores_gemma":[0.00033931277,0.0002122052,0.0007201833,0.00032793553,0.0003272297,0.00032867325,0.00039209874,0.00038571906,0.00021737647],"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":[0.0006253597,0.00014808362,0.031447127,0.00009129635,0.00011280315,0.0004913526,0.000025290743,0.8975555,0.061124757,0.0008934071,0.00034794793,0.0071371314],"study_design_scores_gemma":[0.00019854531,0.0010819463,0.11524648,0.000018068631,0.00016547684,0.00015308485,0.00024412782,0.8253838,0.053217057,0.0014815215,0.00274201,0.00006795755],"about_ca_topic_score_codex":0.012395752,"about_ca_topic_score_gemma":0.008682973,"teacher_disagreement_score":0.012395752,"about_ca_system_score_codex":0.0011672843,"about_ca_system_score_gemma":0.0004749772,"threshold_uncertainty_score":0.024647176},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9856309,0.0010511795,0.00057742966,0.0011546882,0.000013872996,0.00007040466,0.0034212817,0.000020368465,0.0080598965],"genre_scores_gemma":[0.9970228,0.0003793306,0.00041010452,0.00009305316,0.0000032994267,0.000014178247,0.00073713536,0.0000045524657,0.0013355684],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9994848,0.000081393555,0.000013069388,0.00006518313,0.00010561233,0.0002499182],"domain_scores_gemma":[0.998884,0.00019444828,0.0000983557,0.000037581878,0.0006318127,0.00015381628],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000628405,0.00050929264,0.00029965746,0.0007971134,0.001588939,0.0013561235,0.0009280324,0.0004376858,0.0020627405],"category_scores_gemma":[0.0016046651,0.00019469782,0.0007458246,0.0021148429,0.00062016037,0.0005740908,0.00037787613,0.00049207214,0.000116164876],"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":[0.0006051401,0.00033367265,0.8482618,0.0003882162,0.00074374763,0.0009112429,0.0011133788,0.0862171,0.004339845,0.0058429884,0.009827328,0.04141563],"study_design_scores_gemma":[0.000087204055,0.00015173567,0.89781255,0.000111215326,0.0003544992,0.000076131044,0.00675687,0.077985056,0.0014588647,0.0007251359,0.014391908,0.00008889491],"about_ca_topic_score_codex":0.9986614,"about_ca_topic_score_gemma":0.9990803,"teacher_disagreement_score":0.06200462,"about_ca_system_score_codex":0.06200462,"about_ca_system_score_gemma":0.0428715,"threshold_uncertainty_score":0.44987708},"labels":[],"label_agreement":null},{"id":"W4389143422","doi":"10.1111/gcbb.13109","title":"Environmental factors controlling biochar climate change mitigation potential in British Columbia's agricultural soils","year":2023,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Soil Carbon and Nitrogen Dynamics","field":"Agricultural and Biological Sciences","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 British Columbia","funders":"","keywords":"Biochar; Environmental science; Tonne; Carbon sequestration; Greenhouse gas; Soil carbon; Climate change; Soil water; Climate change mitigation; Biomass (ecology); Agriculture; Environmental protection; Carbon dioxide; Agronomy; Soil science; Ecology; Chemistry; Pyrolysis","score_opus":0.01156757077653023,"score_gpt":0.18330799329750797,"score_spread":0.17174042252097774,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4389143422","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.990213,0.00020766095,0.0003005221,0.0002487871,0.000007529848,0.00003108218,0.0012806358,0.000028369097,0.0076824855],"genre_scores_gemma":[0.99801135,0.000164751,0.00016090524,0.00002542261,0.0000011316769,0.000012066696,0.0003606154,0.0000056871872,0.00125791],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99971646,0.000044449633,0.000010552177,0.000042269654,0.000044802353,0.00014133178],"domain_scores_gemma":[0.999453,0.0001527403,0.000043681604,0.000020531577,0.00025055793,0.00007945189],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002524658,0.00052124215,0.00029577233,0.0005812501,0.0011438564,0.0022435798,0.0007965296,0.00061191426,0.0024066577],"category_scores_gemma":[0.0008925203,0.00022963781,0.00035779446,0.0011948615,0.000602842,0.00044911183,0.00041051186,0.00043442546,0.00022794397],"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":[0.0006244368,0.00020106601,0.2762633,0.00024658616,0.0002320479,0.0008715305,0.00022565018,0.67522526,0.017921442,0.0029619252,0.004442466,0.020784246],"study_design_scores_gemma":[0.00014625708,0.00021173211,0.5119718,0.000102659156,0.00022782186,0.00013757688,0.0028936982,0.46553072,0.006834578,0.0014617809,0.01033904,0.00014236891],"about_ca_topic_score_codex":0.9655627,"about_ca_topic_score_gemma":0.9603285,"teacher_disagreement_score":0.0344373,"about_ca_system_score_codex":0.022044104,"about_ca_system_score_gemma":0.009181241,"threshold_uncertainty_score":0.15994197},"labels":[],"label_agreement":null},{"id":"W4391034164","doi":"10.1111/gcbb.13126","title":"Bioclimatic analysis of potential worldwide production of spring‐type camelina [<i>Camelina sativa</i> (L.) Crantz] seeded in the spring","year":2024,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Lipid metabolism and biosynthesis","field":"Biochemistry, Genetics and Molecular Biology","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":"Plant Biotechnology Institute; Cameco (Canada); Agriculture and Agri-Food Canada","funders":"","keywords":"Camelina; Camelina sativa; Phenology; Environmental science; Spring (device); Agronomy; Crop; Crop yield; Energy crop; Biofuel; Bioenergy; Biology; Ecology; Engineering","score_opus":0.008087391647560397,"score_gpt":0.2380685575708416,"score_spread":0.22998116592328122,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4391034164","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985879,0.00001606763,0.0003977678,0.000007875464,9.82254e-7,0.0000049110035,0.0006619949,0.00003568073,0.00028672852],"genre_scores_gemma":[0.9985707,0.0000140558495,0.0004774042,0.0000036842168,4.7139943e-7,0.000007783964,0.00082300487,0.000005903008,0.000097034484],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99994195,0.000008674377,0.0000035896032,0.000030879415,0.0000074633604,0.0000073973465],"domain_scores_gemma":[0.99985826,0.000044865155,0.000029978326,0.000016047097,0.00003460977,0.00001618064],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00021366516,0.000250654,0.0001882763,0.00036898427,0.00017130215,0.00035054702,0.00024770052,0.00020101202,0.000679073],"category_scores_gemma":[0.00027947407,0.00009454543,0.00058210746,0.00034083024,0.0000754258,0.00023918874,0.00014370505,0.00011130951,0.00012211472],"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":[0.0012860477,0.00020796314,0.5623755,0.00020235551,0.00033680265,0.00035933737,0.0002096642,0.20992312,0.20841877,0.0003918134,0.000945852,0.015342749],"study_design_scores_gemma":[0.00004877551,0.00033091073,0.7069182,0.000009132443,0.00011196813,0.00009657956,0.00015297983,0.2733296,0.017850097,0.00009877526,0.0010237523,0.000029245843],"about_ca_topic_score_codex":0.025694435,"about_ca_topic_score_gemma":0.01715884,"teacher_disagreement_score":0.025694435,"about_ca_system_score_codex":0.0010914662,"about_ca_system_score_gemma":0.00015833172,"threshold_uncertainty_score":0.051089764},"labels":[],"label_agreement":null},{"id":"W4392237000","doi":"10.1111/gcbb.13134","title":"Long‐term biochar application promoted soil aggregate‐associated potassium availability and maize potassium uptake","year":2024,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Clay minerals and soil interactions","field":"Materials 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 Alberta","funders":"Earmarked Fund for China Agriculture Research System; Chinese Academy of Agricultural Sciences; National Natural Science Foundation of China","keywords":"Biochar; Potassium; Amendment; Chemistry; Fertilizer; Agronomy; Nutrient; Soil water; Biomass (ecology); Animal science; Environmental science; Soil science; Biology; Pyrolysis","score_opus":0.014851090108254068,"score_gpt":0.2599708675703287,"score_spread":0.24511977746207467,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4392237000","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99904567,0.0003437881,0.00031632546,0.0000132826,0.0000072072858,0.000008145123,0.00013077627,0.0000125335555,0.0001221741],"genre_scores_gemma":[0.99870336,0.00016026171,0.00039518863,0.000021925838,0.0000030379251,0.000012998264,0.00013234452,0.000005364213,0.0005653381],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99985707,0.000012351477,0.000014489297,0.0000484724,0.000025530813,0.000041998966],"domain_scores_gemma":[0.9996649,0.000050939445,0.000096710435,0.000027472512,0.0000689423,0.00009096097],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017943881,0.00038324794,0.00039816395,0.00023968733,0.00016675069,0.0003882913,0.00025181792,0.00032139214,0.00044858726],"category_scores_gemma":[0.00021546015,0.00019264805,0.0003348224,0.00019001358,0.00020064131,0.00030971246,0.00024806376,0.00050644256,0.000102367194],"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":[0.0003164307,0.00003069323,0.0009116034,0.000028700813,0.000009285854,0.000014258916,0.0000134244,0.00007245157,0.9980019,0.000010002002,0.0000075362973,0.00058367325],"study_design_scores_gemma":[0.00003565978,0.0013737684,0.07951378,0.000014625467,0.00007055138,0.00006274969,0.00012803721,0.0018759299,0.9157689,0.00006495086,0.0010684853,0.00002257516],"about_ca_topic_score_codex":0.0052872817,"about_ca_topic_score_gemma":0.007333861,"teacher_disagreement_score":0.0052872817,"about_ca_system_score_codex":0.0006116708,"about_ca_system_score_gemma":0.0003641774,"threshold_uncertainty_score":0.010513008},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.94904524,0.0007243635,0.0067891814,0.0021112964,0.000017047762,0.000023480701,0.00027377642,0.000017209511,0.040998407],"genre_scores_gemma":[0.9995308,0.00005858122,0.00015681976,0.00003118604,0.0000035070548,0.000003636369,0.000017653063,0.0000018067686,0.0001960879],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99863297,0.0005836821,0.00005335731,0.00017331036,0.00030359213,0.00025315396],"domain_scores_gemma":[0.99115163,0.0051087807,0.0022568682,0.00046803834,0.0005233934,0.0004912963],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0017026105,0.00017445898,0.00025426425,0.000854699,0.000438445,0.002708114,0.0002740141,0.00045830043,0.00769245],"category_scores_gemma":[0.008523988,0.0000912529,0.00031694685,0.0012969144,0.0016770429,0.002132207,0.0020901752,0.00081553106,0.00023433326],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00019974566,0.00019943308,0.80561066,0.0001634274,0.00021392254,0.0003388312,0.0014193883,0.012155126,0.0022353446,0.12208498,0.0013068576,0.054072313],"study_design_scores_gemma":[0.0000111347435,0.00012204697,0.87926614,0.00022925332,0.00016734906,0.0001496575,0.009770019,0.01384045,0.0024888953,0.0850549,0.008860988,0.00003914428],"about_ca_topic_score_codex":0.0028099902,"about_ca_topic_score_gemma":0.0039369254,"teacher_disagreement_score":0.00769245,"about_ca_system_score_codex":0.0012426688,"about_ca_system_score_gemma":0.0012825179,"threshold_uncertainty_score":0.025733829},"labels":[],"label_agreement":null},{"id":"W4400998471","doi":"10.1111/gcbb.13182","title":"Water use and radiation balance of miscanthus and corn on marginal land in the coastal plain region of North Carolina","year":2024,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"University of Manitoba","funders":"Basic Energy Sciences; National Institute of Food and Agriculture","keywords":"Miscanthus; Environmental science; Interception; Agronomy; Biomass (ecology); Bioenergy; Growing season; Transpiration; Soil water; Energy crop; Biology; Biofuel; Photosynthesis; Soil science; Ecology; Botany","score_opus":0.016490179665588512,"score_gpt":0.19392088563562837,"score_spread":0.17743070597003985,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4400998471","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.999767,0.000011519548,0.0000083743935,0.0000054005095,2.1196824e-7,0.000001169092,0.000070716625,0.000001004899,0.00013457246],"genre_scores_gemma":[0.9995932,0.000018317904,0.00004839546,0.000007059703,4.9458384e-7,0.0000042542883,0.00017359284,0.0000012490099,0.00015352116],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988794,0.0000142807685,0.000005492322,0.00003239542,0.000027946366,0.000031957723],"domain_scores_gemma":[0.999426,0.000117400064,0.0001280314,0.000026737336,0.00014280605,0.00015896383],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000112886264,0.00017518592,0.00016323433,0.0007310239,0.0006223266,0.0004073451,0.000358633,0.00015368969,0.0009502795],"category_scores_gemma":[0.00034071947,0.000111389134,0.00014588858,0.00093470205,0.0003434221,0.000241969,0.00040530326,0.00015358641,0.00009558959],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00044223957,0.00012755985,0.96347225,0.000032096796,0.00006253822,0.00056290254,0.0018341293,0.00060652435,0.027827,0.00012884813,0.0002533018,0.0046506785],"study_design_scores_gemma":[0.0000017775129,0.000019372981,0.9982497,0.0000021381866,0.000003985275,0.000027989428,0.00092165475,0.0003219437,0.00026085248,0.0000073221054,0.00017975552,0.0000034448458],"about_ca_topic_score_codex":0.33049172,"about_ca_topic_score_gemma":0.579752,"teacher_disagreement_score":0.33049172,"about_ca_system_score_codex":0.0016417033,"about_ca_system_score_gemma":0.00072565756,"threshold_uncertainty_score":0.6571361},"labels":[],"label_agreement":null},{"id":"W4401824251","doi":"10.1111/gcbb.13178","title":"Flea beetle (<i>Phyllotreta</i> spp.) management in spring‐planted canola (<i>Brassica napus</i> L.) on the northern Great Plains of North America","year":2024,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Insect-Plant Interactions and Control","field":"Agricultural and Biological Sciences","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":"Agriculture Food and Rural Development; Northern Alberta Institute of Technology; Agriculture and Agri-Food Canada; University of Manitoba; Alberta Ministry of Agriculture and Forestry; Saskatchewan Ministry of Agriculture; University of Alberta","funders":"Alberta Canola Producers Commission; Alberta Wheat Commission; Natural Sciences and Engineering Research Council of Canada; Government of Alberta; European Commission; Alberta Pulse Growers Commission; Canola Council of Canada; Agriculture and Agri-Food Canada; Western Grains Research Foundation","keywords":"Canola; Flea beetle; Biology; Brassicaceae; Brassica rapa; Agronomy; Brassica; Integrated pest management; Botany","score_opus":0.009226316758784613,"score_gpt":0.19204733524907946,"score_spread":0.18282101849029486,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401824251","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9985475,0.00036207933,0.000029365272,0.00007148761,0.000005819963,0.000009683473,0.00007591166,0.0000091774,0.0008889602],"genre_scores_gemma":[0.9983144,0.00030594858,0.00015025755,0.000051743475,0.0000029599557,0.000012429239,0.00017069072,0.0000017640518,0.000989778],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998777,0.000017243041,0.000004403256,0.000038032988,0.00002733969,0.000035318128],"domain_scores_gemma":[0.99964964,0.000023296681,0.000112372385,0.000009730357,0.00009250996,0.00011242759],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00016752843,0.0002629857,0.00014882798,0.0005191361,0.00070276525,0.00049176614,0.00042727348,0.0001984531,0.00071712944],"category_scores_gemma":[0.00015443625,0.00008564228,0.00013727463,0.0004992133,0.0003590728,0.00020134215,0.00024848015,0.00017788366,0.000102798185],"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":[0.00084076956,0.0007795099,0.85915834,0.00041745233,0.00026023577,0.003693652,0.004200599,0.0008846308,0.07944395,0.00024936453,0.0038323821,0.04623916],"study_design_scores_gemma":[0.000005385318,0.0001338694,0.99373215,0.000016705251,0.000030344476,0.000119860546,0.0023243066,0.00028861733,0.0008457619,0.000028178514,0.0024671534,0.0000075391745],"about_ca_topic_score_codex":0.27542934,"about_ca_topic_score_gemma":0.6099896,"teacher_disagreement_score":0.72457063,"about_ca_system_score_codex":0.0024574553,"about_ca_system_score_gemma":0.0012633102,"threshold_uncertainty_score":0.54765236},"labels":[],"label_agreement":null},{"id":"W4407929568","doi":"10.1111/gcbb.70025","title":"Soil Organic Carbon Storage of Different Soil‐Sized Fractions in Perennial Bioenergy Crops on Marginally Productive Cropland in Southern Canada","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Guelph; University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Foundation for Innovation; Faculty of Environment, University of Waterloo","keywords":"Bioenergy; Environmental science; Soil carbon; Perennial plant; Agronomy; Biomass (ecology); Agroforestry; Carbon fibers; Biofuel; Soil organic matter; Soil water; Soil science; Biology; Ecology; Mathematics","score_opus":0.007336700530433673,"score_gpt":0.19100426903698237,"score_spread":0.1836675685065487,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4407929568","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.99934345,0.00007041095,0.00002485307,0.0000066928587,5.236356e-7,0.000003089994,0.00029570254,0.0000027692845,0.00025251732],"genre_scores_gemma":[0.999178,0.00006984525,0.00008599989,0.0000065225818,3.7484642e-7,0.0000027384272,0.000312413,0.0000014000424,0.00034266827],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99988663,0.0000052379155,0.0000055380215,0.000031417007,0.000027945156,0.00004337255],"domain_scores_gemma":[0.9996706,0.000021155021,0.0000475105,0.000011782428,0.00014783995,0.00010098283],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00014993102,0.00030227145,0.00024113483,0.00085715187,0.0012125584,0.00063744176,0.00046927299,0.00016061672,0.0007311845],"category_scores_gemma":[0.00023771731,0.00016176932,0.00020963831,0.0011964457,0.0004079665,0.00022310685,0.00031522108,0.00015029387,0.000095412826],"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":[0.00036327247,0.000049831946,0.9553753,0.00007324619,0.00008732027,0.0002599667,0.0011635012,0.0007172766,0.032042094,0.00012421193,0.00021746776,0.009526512],"study_design_scores_gemma":[0.0000023734428,0.0000128375395,0.9984573,0.00000404207,0.000007753572,0.000019918814,0.00051842787,0.00033325222,0.0003850146,0.000009720273,0.00024556994,0.000003675303],"about_ca_topic_score_codex":0.9659264,"about_ca_topic_score_gemma":0.9904722,"teacher_disagreement_score":0.03407359,"about_ca_system_score_codex":0.010174156,"about_ca_system_score_gemma":0.005560367,"threshold_uncertainty_score":0.07381898},"labels":[],"label_agreement":null},{"id":"W4412884078","doi":"10.1111/gcbb.70069","title":"A Global Short Rotation Coppice (<scp>SRC</scp>) Willow Dataset for the Bioeconomy: Implications for the Yield in the <scp>United Kingdom</scp>","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Bioenergy crop production and management","field":"Agricultural and Biological Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"UK Energy Research Centre; UK Research and Innovation","keywords":"Short rotation coppice; Willow; Coppicing; Yield (engineering); Short rotation forestry; Bioenergy; Chemistry; Agroforestry; Biotechnology; Biofuel; Environmental science; Botany; Biology; Woody plant; Physics","score_opus":0.0597659180282699,"score_gpt":0.2932267958313997,"score_spread":0.2334608778031298,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4412884078","genre_codex":"dataset","genre_gemma":"dataset","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"dataset","genre_consensus":"dataset","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.028323444,0.0003802062,0.00033398133,0.00017618386,0.000030961848,0.000017240787,0.96944827,0.0002567426,0.0010329345],"genre_scores_gemma":[0.024622662,0.00014989196,0.0010598894,0.000038766706,0.000009008446,0.000059519905,0.973252,0.0000889961,0.00071930204],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.9996352,0.000064565604,0.00004574184,0.00010027802,0.00008646575,0.00006763437],"domain_scores_gemma":[0.99794704,0.00039108514,0.0003290862,0.00035086012,0.0008082772,0.00017368006],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005635964,0.00064559723,0.00058386556,0.0018272088,0.00030073817,0.0008584437,0.0007865506,0.00073165604,0.0049479036],"category_scores_gemma":[0.0026555841,0.00023756799,0.00087427895,0.003946837,0.00025450584,0.0005585398,0.0009185318,0.0003873011,0.0042678937],"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":[0.0010528208,0.00012770618,0.14419115,0.002949467,0.00070055044,0.0005971457,0.0005017102,0.0099531645,0.005456915,0.0021880013,0.8057649,0.026516574],"study_design_scores_gemma":[0.00024665816,0.00009384941,0.4467092,0.00042938,0.00013996717,0.0001869322,0.00076999055,0.0070847906,0.0017140601,0.00080742664,0.5417305,0.00008719475],"about_ca_topic_score_codex":0.09660402,"about_ca_topic_score_gemma":0.12510383,"teacher_disagreement_score":0.09660402,"about_ca_system_score_codex":0.0009899399,"about_ca_system_score_gemma":0.00075728283,"threshold_uncertainty_score":0.19208342},"labels":[],"label_agreement":null},{"id":"W4413357349","doi":"10.1111/gcbb.70067","title":"Leveraging Biomass Procurement to Mitigate Carbon Emissions at the Stand Level: A Case Study in Eastern Canadian Forests","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Forest Management and Policy","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":"Université Laval; Natural Resources Canada","funders":"Fonds de recherche du Québec – Nature et technologies; Natural Resources Canada; Canadian Forest Service; Natural Sciences and Engineering Research Council of Canada","keywords":"Biomass (ecology); Environmental science; Greenhouse gas; Bioenergy; Carbon fibers; Biofuel; Agroforestry; Procurement; Carbon sequestration; Renewable energy; Environmental protection; Forestry; Ecology; Waste management; Carbon dioxide; Business; Geography; Engineering; Biology","score_opus":0.03155551619007509,"score_gpt":0.2754924330691015,"score_spread":0.24393691687902638,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413357349","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.9950558,0.00016259652,0.00084768195,0.00013056902,0.000005073111,0.00007481513,0.00039180118,0.000023420296,0.003308152],"genre_scores_gemma":[0.996436,0.00014509867,0.0021230036,0.00003376869,0.0000019451466,0.000021142347,0.00021029226,0.0000069948364,0.0010217616],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.9995981,0.00005705344,0.000011086906,0.000050673967,0.00007910419,0.00020401287],"domain_scores_gemma":[0.9994031,0.00015255826,0.0000420913,0.000033957243,0.0002287198,0.00013960176],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00066702836,0.0005509447,0.00033835534,0.00078795006,0.0037247029,0.001506391,0.0016582041,0.00067938823,0.0012248842],"category_scores_gemma":[0.000871254,0.00020993213,0.0006130835,0.0016735356,0.0009608865,0.00053243124,0.0005667088,0.00057856966,0.00007271233],"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":[0.0005661836,0.0010001267,0.38028818,0.0003401149,0.0003296065,0.005336179,0.0022871676,0.5448429,0.010360295,0.006502493,0.0033510209,0.044795696],"study_design_scores_gemma":[0.00025422822,0.00054157566,0.41301972,0.00015714881,0.00038940212,0.00057642395,0.020270934,0.538144,0.0062234853,0.002717853,0.017410325,0.00029493464],"about_ca_topic_score_codex":0.9865545,"about_ca_topic_score_gemma":0.99559104,"teacher_disagreement_score":0.03354487,"about_ca_system_score_codex":0.03354487,"about_ca_system_score_gemma":0.020957164,"threshold_uncertainty_score":0.24338621},"labels":[],"label_agreement":null},{"id":"W4413536181","doi":"10.1111/gcbb.70075","title":"Scenario Storylines for Carbon Dioxide Removal in Germany: Drawing From Regional Perspectives","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Climate Change Policy and Economics","field":"Economics, Econometrics and Finance","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 Calgary","funders":"Bundesministerium für Bildung und Forschung","keywords":"Carbon dioxide; Environmental science; Carbon dioxide removal; Climate change; Bio-energy with carbon capture and storage; Natural resource economics; Carbon sequestration; Economics; Chemistry; Ecology","score_opus":0.06502482436682444,"score_gpt":0.2647705472769468,"score_spread":0.19974572291012238,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4413536181","genre_codex":"empirical","genre_gemma":"empirical","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.8787425,0.0017686981,0.016558236,0.008923738,0.00015702355,0.0006133651,0.008455967,0.00013569972,0.08464475],"genre_scores_gemma":[0.9854608,0.0013599109,0.007924586,0.00021135795,0.00001859887,0.00033454015,0.0019753,0.00004793403,0.0026669335],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","domain_scores_codex":[0.99753344,0.0017649133,0.000080386686,0.00013213894,0.00020444368,0.00028471902],"domain_scores_gemma":[0.99643505,0.0027303696,0.0002946882,0.00011845387,0.00027788748,0.00014354738],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0033668878,0.0010304992,0.0002461406,0.0029259792,0.0015640238,0.0035734824,0.00094939984,0.0016831902,0.00568287],"category_scores_gemma":[0.0059776832,0.00034232886,0.0007129208,0.0039763846,0.001585848,0.0046685846,0.0019830018,0.0012222595,0.0004754936],"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":[0.000914748,0.00039301475,0.034969613,0.002663083,0.00035587355,0.019327505,0.3055035,0.1485227,0.0068522184,0.3536781,0.04269436,0.08412522],"study_design_scores_gemma":[0.00007748345,0.0003605047,0.03303575,0.0021073394,0.00020943597,0.001680551,0.50719804,0.05209977,0.0048262123,0.048013303,0.3500997,0.00029190927],"about_ca_topic_score_codex":0.01914902,"about_ca_topic_score_gemma":0.03241185,"teacher_disagreement_score":0.01914902,"about_ca_system_score_codex":0.009221116,"about_ca_system_score_gemma":0.0012422298,"threshold_uncertainty_score":0.06690425},"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":"metacan-v3-hybrid-931329e0061c","genre_candidate":"empirical","genre_consensus":"empirical","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.6974272,0.0007101067,0.25137073,0.00088503544,0.00007522324,0.00019776655,0.00061027275,0.00068266434,0.048040953],"genre_scores_gemma":[0.9812393,0.00019045032,0.014433746,0.000032737633,0.0000038075261,0.000025250341,0.000106984866,0.000025839967,0.003941724],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997476,0.000057145076,0.0000071964027,0.000042681153,0.00004824744,0.00009718314],"domain_scores_gemma":[0.99977237,0.00005521882,0.000040939885,0.000034808778,0.00006690334,0.00002977784],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00048244942,0.00058414944,0.00026203188,0.00039141066,0.0005729388,0.0014296595,0.00074656913,0.00039513985,0.0029378892],"category_scores_gemma":[0.0006082919,0.00019413428,0.00033714963,0.00070003566,0.0003943,0.0009874391,0.00072968827,0.000392374,0.0004289017],"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":[0.000117857955,0.000088086614,0.003124935,0.00007279316,0.000022328972,0.00007369921,0.000022705013,0.95565265,0.014714808,0.006085154,0.00068508234,0.019339906],"study_design_scores_gemma":[0.0000278723,0.0002554268,0.0027770947,0.0000215588,0.00006345101,0.000049595954,0.00025141833,0.95369613,0.026797416,0.0073222583,0.008707887,0.000029817897],"about_ca_topic_score_codex":0.0407548,"about_ca_topic_score_gemma":0.061683327,"teacher_disagreement_score":0.0407548,"about_ca_system_score_codex":0.0028538026,"about_ca_system_score_gemma":0.0035418994,"threshold_uncertainty_score":0.08103514},"labels":[],"label_agreement":null},{"id":"W4416769881","doi":"10.1111/gcbb.70095","title":"Trends and Advancements in Utilization of Biomass Waste for Gasification: A Bibliometric Review","year":2025,"lang":"en","type":"review","venue":"GCB Bioenergy","topic":"Thermochemical Biomass Conversion Processes","field":"Engineering","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 Regina","funders":"Universiti Teknologi Petronas","keywords":"Biomass (ecology); Scopus; Thematic map; Bibliometrics; Web of science; Thematic analysis; Citation","score_opus":0.05409953636138511,"score_gpt":0.3354553301976378,"score_spread":0.2813557938362527,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4416769881","genre_codex":"review","genre_gemma":"review","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"review","genre_consensus":"review","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.08201571,0.89783925,0.001303359,0.0032945203,0.0003633153,0.0001745906,0.004680518,0.000092194256,0.0102366675],"genre_scores_gemma":[0.23474227,0.7597715,0.0016347556,0.00024398879,0.0003910194,0.00012261474,0.0025857366,0.000019421646,0.0004886766],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.99472165,0.001088447,0.0015594242,0.0004749365,0.0019700567,0.00018540137],"domain_scores_gemma":[0.9772275,0.01323399,0.0041414103,0.00044644315,0.004620733,0.00032991066],"candidate_categories":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.0067165764,0.0006287918,0.0014880465,0.11406551,0.00075990445,0.0036711642,0.0007114771,0.00053066,0.0022046566],"category_scores_gemma":[0.021681817,0.00036368833,0.0019437446,0.1474271,0.00070815074,0.0031691107,0.0013215169,0.00044188285,0.0003760226],"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":[0.00024641518,0.000119235214,0.15235768,0.15238652,0.0043338807,0.00069542084,0.002471312,0.0013730121,0.0015481986,0.0052312566,0.015007922,0.6642291],"study_design_scores_gemma":[0.000060667626,0.00031912586,0.6407236,0.10436551,0.016253974,0.0030307039,0.010093697,0.0042421776,0.0030315637,0.004324634,0.2133464,0.00020800461],"about_ca_topic_score_codex":0.005667908,"about_ca_topic_score_gemma":0.006898848,"teacher_disagreement_score":0.8859345,"about_ca_system_score_codex":0.0021133157,"about_ca_system_score_gemma":0.0044772867,"threshold_uncertainty_score":0.03552109},"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":"design_other","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"low"}],"label_agreement":"split"},{"id":"W4417224433","doi":"10.1111/gcbb.70093","title":"Prof Stephen P. Long, <scp>FRS</scp> (1950–2025)","year":2025,"lang":"en","type":"article","venue":"GCB Bioenergy","topic":"Photosynthetic Processes and Mechanisms","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Western University; Dalhousie University; University of British Columbia; University of Toronto; Fisheries and Oceans Canada","funders":"","keywords":"Crop productivity; Photosynthesis; Agriculture; Sustainability; Productivity; Formative assessment","score_opus":0.006475203311392507,"score_gpt":0.24291246257419363,"score_spread":0.23643725926280112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4417224433","genre_codex":"commentary","genre_gemma":"other","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"other","genre_consensus":null,"domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.005059171,0.061098646,0.00491558,0.36546588,0.26497507,0.00044392454,0.004532506,0.002025203,0.291484],"genre_scores_gemma":[0.015595901,0.022581888,0.0010969718,0.0390292,0.022925846,0.00019276787,0.0017490842,0.0003974382,0.89643097],"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","domain_scores_codex":[0.99940586,0.000057876143,0.000024081588,0.0001331553,0.00027636983,0.00010268693],"domain_scores_gemma":[0.996816,0.00014634703,0.00013806959,0.0000382484,0.0010832873,0.0017780946],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001069023,0.000778139,0.0004414629,0.00086844346,0.00081373326,0.0018005318,0.0006773653,0.002151633,0.20647535],"category_scores_gemma":[0.003494396,0.00027502203,0.00031341112,0.00035970492,0.00055012037,0.0013809904,0.0012311203,0.0026908235,0.13930914],"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":[0.000018321593,0.000008197863,0.0002813295,0.00004953038,0.0000013620224,0.00007891823,0.000013262596,0.000030953015,0.000099338184,0.00036655978,0.96198,0.037072167],"study_design_scores_gemma":[0.000009582414,0.00004886232,0.00079874403,0.00014367708,0.0000018361354,0.0006881986,0.000052782354,0.000059781785,0.00016777204,0.00032915937,0.9976921,0.000007376579],"about_ca_topic_score_codex":0.00474366,"about_ca_topic_score_gemma":0.008407565,"teacher_disagreement_score":0.20647535,"about_ca_system_score_codex":0.0017509435,"about_ca_system_score_gemma":0.0028526264,"threshold_uncertainty_score":0.69072884},"labels":[],"label_agreement":null}]}