{"meta":{"query_hash":"3753fdc86f54","filters":{"venue":"Carbon Balance and Management"},"cohort_total":39,"direct_labels_cover":0,"predictions_cover":39,"exported":39,"export_cap":100000,"truncated":false,"label_status":"direct model label, unvalidated","prediction_status":"machine_predicted_unvalidated (Codex and Gemma teacher distillation)","score_status":"score_only:v0-immature-baseline","snapshot":{"source":"OpenAlex, pinned release, all 482 partitions","release":"2026-06-24","frame_built":"2026-07-12"},"permalink":"https://metacan.xera.ac/q/3753fdc86f54","api":"https://metacan.xera.ac/api/v1/cohort?venue=Carbon+Balance+and+Management"},"results":[{"id":"W1907402482","doi":"10.1186/s13021-015-0031-8","title":"Model errors in tree biomass estimates computed with an approximation to a missing covariance matrix","year":2015,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":21,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada","funders":"Thünen-Institut","keywords":"Statistics; Biomass (ecology); Covariance; Tree (set theory); Covariance matrix; Monte Carlo method; Mathematics; Econometrics; Estimation; Computation; Missing data; Environmental science; Algorithm; Ecology; Engineering","score_opus":0.016950496679547893,"score_gpt":0.24458498134739226,"score_spread":0.22763448466784436,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W1907402482","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":[0.09854094,0.0000984274,0.9002239,0.00014780086,0.000022172762,0.000027508633,0.00014927407,0.00027479333,0.00051519624],"genre_scores_gemma":[0.7768778,0.00012737687,0.2214359,0.000067156645,0.00002041076,0.00011740474,0.00046801078,0.00012255815,0.00076328963],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9979242,0.0010200903,0.00013159764,0.0003454986,0.0004425863,0.00013606912],"domain_scores_gemma":[0.96976846,0.023431592,0.0018400783,0.003181885,0.0016233617,0.00015466704],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009531984,0.0006064831,0.00051142095,0.0009819701,0.0003575701,0.00089112,0.0011673322,0.0011761199,0.0014105251],"category_scores_gemma":[0.053203736,0.00046503928,0.0010541003,0.00094811304,0.0009967563,0.0017178695,0.0014200993,0.0018022569,0.0003257074],"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":[0.00007163041,0.000047327612,0.008182768,0.0000627595,0.00009015451,0.00008196474,0.00010759851,0.9581573,0.001312619,0.011958161,0.00030999913,0.019617667],"study_design_scores_gemma":[0.000011164023,0.00003695168,0.002292771,0.000028222563,0.000019562885,0.000059239257,0.000018465895,0.98559254,0.0011970934,0.01044874,0.00027333086,0.000021905926],"about_ca_topic_score_codex":0.008864842,"about_ca_topic_score_gemma":0.0065363348,"teacher_disagreement_score":0.009531984,"about_ca_system_score_codex":0.001100795,"about_ca_system_score_gemma":0.0014944894,"threshold_uncertainty_score":0.05041057},"labels":[],"label_agreement":null},{"id":"W2063259384","doi":"10.1186/1750-0680-2-12","title":"An estimate of carbon emissions from 2004 wildfires across Alaskan Yukon River Basin","year":2007,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"U.S. Geological Survey","keywords":"Environmental science; Boreal; Greenhouse gas; Drainage basin; Ecosystem; Biomass (ecology); Land cover; Soil carbon; Climate change; Land use; Hydrology (agriculture); Global warming; Atmospheric sciences; Soil water; Ecology; Soil science; Geography; Geology","score_opus":0.004494432894678958,"score_gpt":0.24057974694574882,"score_spread":0.23608531405106986,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2063259384","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":[0.99705565,0.00015231999,0.00058260234,0.000012750679,0.000002789064,0.0000057468415,0.0014617436,0.000025492469,0.0007009236],"genre_scores_gemma":[0.99606484,0.00018974717,0.0010885331,0.000009626365,0.0000021929634,0.000012178943,0.0021667152,0.000004540153,0.00046169132],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99990845,0.000009484014,0.00001630656,0.000024528681,0.00002739077,0.0000137917805],"domain_scores_gemma":[0.99978954,0.000033816064,0.000041898038,0.000014412041,0.00010431868,0.00001598734],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001457433,0.00042869447,0.00016599178,0.0009630541,0.0003528967,0.00040438143,0.00024722156,0.00028683548,0.0004792239],"category_scores_gemma":[0.00033330292,0.00016164873,0.00039293582,0.00081231515,0.0000987163,0.0003556437,0.00022915575,0.00015088618,0.00011762632],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000060541504,0.000034753095,0.95800686,0.00008672641,0.000295807,0.00018431453,0.00012710312,0.02478203,0.0035300585,0.00009536795,0.00045404225,0.012342272],"study_design_scores_gemma":[0.000006637128,0.0000334575,0.9789636,0.00003287411,0.00014953157,0.00015178251,0.00038654538,0.015326413,0.0027198526,0.00014094451,0.002072433,0.000016036007],"about_ca_topic_score_codex":0.089370646,"about_ca_topic_score_gemma":0.15062863,"teacher_disagreement_score":0.089370646,"about_ca_system_score_codex":0.001019784,"about_ca_system_score_gemma":0.0006145604,"threshold_uncertainty_score":0.17770088},"labels":[],"label_agreement":null},{"id":"W2142451711","doi":"10.1186/s13021-015-0033-6","title":"Carbon dioxide fluxes from a degraded woodland in West Africa and their responses to main environmental factors","year":2015,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":15,"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":"Belgisch Ontwikkelingsagentschap; Agence Universitaire de la Francophonie","keywords":"Eddy covariance; Environmental science; Ecosystem; Ecosystem respiration; Dry season; Woodland; Atmospheric sciences; Growing season; Carbon dioxide; Wet season; Ecology; Agronomy; Biology","score_opus":0.011313554461994614,"score_gpt":0.18446950708754548,"score_spread":0.17315595262555086,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142451711","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":[0.99988437,0.000020536874,0.000018912131,0.0000021439891,3.6265067e-7,7.460664e-7,0.00003709209,6.2241554e-7,0.000035127563],"genre_scores_gemma":[0.99966574,0.00004410653,0.00010244382,0.0000035936048,0.0000016612628,0.0000036168058,0.00012439615,0.0000012784465,0.000053208165],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.999946,0.000009549237,0.0000037465384,0.000014863831,0.00000766986,0.00001828225],"domain_scores_gemma":[0.9999026,0.000024736672,0.0000310249,0.0000067805827,0.000017683831,0.000017247154],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013148275,0.0002805328,0.00031502728,0.00034720046,0.00037275653,0.0003735397,0.00012548448,0.00022668666,0.0003695949],"category_scores_gemma":[0.00018380507,0.00016404586,0.00013991357,0.0005529373,0.00022989087,0.00022797221,0.00014325153,0.000118915355,0.00006276967],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0012363424,0.0001608969,0.8327727,0.00012069944,0.00016360344,0.0010016485,0.0016246843,0.0025203724,0.14991347,0.00007051006,0.00008600913,0.010329146],"study_design_scores_gemma":[0.000004655054,0.000026140255,0.9975068,0.000003336788,0.000010835016,0.000059857157,0.00019135921,0.0007803808,0.0013026961,0.000007261615,0.000103737526,0.0000030572176],"about_ca_topic_score_codex":0.020897534,"about_ca_topic_score_gemma":0.03242202,"teacher_disagreement_score":0.020897534,"about_ca_system_score_codex":0.00040009202,"about_ca_system_score_gemma":0.00015154223,"threshold_uncertainty_score":0.04155183},"labels":[],"label_agreement":null},{"id":"W2142814103","doi":"10.1186/1750-0680-8-12","title":"Alaska ecosystem carbon fluxes estimated from MODIS satellite data inputs from 2000 to 2010","year":2013,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Climate change and permafrost","field":"Earth and Planetary Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"National Aeronautics and Space Administration","keywords":"Environmental science; Satellite; Carbon flux; Ecosystem; Carbon cycle; Remote sensing; Vegetation (pathology); Carbon fibers; Climatology; Atmospheric sciences; Geography; Ecology","score_opus":0.03924287743832794,"score_gpt":0.23282538835491906,"score_spread":0.19358251091659112,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2142814103","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":[0.9551414,0.00062876224,0.0009872635,0.0000636226,0.000029104753,0.0000129457,0.03869503,0.00025798875,0.0041838405],"genre_scores_gemma":[0.9683879,0.00058090856,0.0018737584,0.000030249133,0.000011188669,0.000034259174,0.02837956,0.000021395339,0.00068070187],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998803,0.000011765046,0.000016862472,0.0000510094,0.000029002422,0.000011118077],"domain_scores_gemma":[0.9997003,0.00005351091,0.00007865976,0.00002164355,0.00012624601,0.000019687926],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003514034,0.0006002111,0.00016656032,0.0008950602,0.00025304273,0.00048770857,0.00018700406,0.00028648158,0.00095978996],"category_scores_gemma":[0.0007899221,0.00024360232,0.00042286507,0.0010591324,0.00009435368,0.0006154349,0.00020259888,0.0001835618,0.0003234997],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00024331087,0.00006741668,0.849379,0.00038969165,0.00042839927,0.00021807413,0.00023176355,0.117829256,0.0032299072,0.0004908337,0.006181788,0.0213106],"study_design_scores_gemma":[0.000024130415,0.000038664428,0.9264102,0.00013789535,0.00020155728,0.000108832835,0.00023679416,0.060642317,0.0026433847,0.00043775744,0.009075741,0.000042852185],"about_ca_topic_score_codex":0.08650355,"about_ca_topic_score_gemma":0.10962241,"teacher_disagreement_score":0.08650355,"about_ca_system_score_codex":0.0012583834,"about_ca_system_score_gemma":0.0006079867,"threshold_uncertainty_score":0.17200011},"labels":[],"label_agreement":null},{"id":"W2155806388","doi":"10.1186/1750-0680-7-8","title":"Forest carbon in North America: annual storage and emissions from British Columbia’s harvest, 1965–2065","year":2012,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":58,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ministry of Forests; Government of British Columbia","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Greenhouse gas; Carbon accounting; Environmental science; Carbon offset; Climate change; Carbon stock; Stock (firearms); Carbon sequestration; Carbon dioxide equivalent; Environmental protection; Carbon dioxide; Forestry; Geography; Ecology","score_opus":0.00524787987646728,"score_gpt":0.1941375166233172,"score_spread":0.18888963674684994,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2155806388","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":[0.9177945,0.0023354825,0.00041940555,0.00085845124,0.000035193036,0.00003363194,0.06310249,0.000101704085,0.015319151],"genre_scores_gemma":[0.9712269,0.0016559019,0.0004179051,0.000117977375,0.000008856349,0.000024283005,0.018309202,0.000020037081,0.008219072],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9998746,0.0000066748908,0.000007049155,0.000023860384,0.000056834808,0.00003098731],"domain_scores_gemma":[0.9995838,0.000025216372,0.000046960296,0.000017781877,0.00029270325,0.00003367425],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00013870634,0.00033548445,0.00012352408,0.0011338654,0.00067357044,0.0008300541,0.000367527,0.00019906047,0.0023845467],"category_scores_gemma":[0.0003778133,0.00014338737,0.00022402301,0.003395544,0.0002521223,0.00036548582,0.0002498354,0.0003863042,0.00040398497],"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":[0.00030999703,0.00009680979,0.85779375,0.00038971656,0.00028923407,0.0005043168,0.0006923367,0.026751388,0.0018988479,0.001520239,0.044834953,0.06491834],"study_design_scores_gemma":[0.000012210638,0.000011613885,0.9637884,0.00010167407,0.00006363232,0.00007252597,0.00072718435,0.0072415248,0.0010244537,0.00023495882,0.026695812,0.000025968968],"about_ca_topic_score_codex":0.98054606,"about_ca_topic_score_gemma":0.9874128,"teacher_disagreement_score":0.019453943,"about_ca_system_score_codex":0.015829004,"about_ca_system_score_gemma":0.0062183007,"threshold_uncertainty_score":0.11484802},"labels":[],"label_agreement":null},{"id":"W2158714963","doi":"10.1186/1750-0680-8-7","title":"High-fidelity national carbon mapping for resource management and REDD+","year":2013,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":158,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"Avatar Alliance Foundation; Cargill Foundation; Margaret A. Cargill Foundation; Gordon and Betty Moore Foundation; W. M. Keck Foundation; National Science Foundation; HSBC Bank USA; Andrew W. Mellon Foundation; Carnegie Institution of Washington; John D. and Catherine T. MacArthur Foundation; Smithsonian Institution; Grantham Foundation for the Protection of the Environment","keywords":"Environmental science; Vegetation (pathology); Carbon sequestration; Greenhouse gas; Remote sensing; Lidar; Land cover; Carbon accounting; Environmental resource management; Geography; Land use; Ecology; Carbon dioxide","score_opus":0.009070059105325327,"score_gpt":0.2083592662432207,"score_spread":0.19928920713789539,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2158714963","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":[0.32848072,0.0013472805,0.5706544,0.004169541,0.0004798501,0.00053685234,0.025342256,0.008089402,0.06089968],"genre_scores_gemma":[0.66714317,0.00022277668,0.3251585,0.00019822824,0.000041964453,0.00029410643,0.0051184134,0.00021704586,0.0016058082],"study_design_codex":"design_other","study_design_gemma":"observational","domain_scores_codex":[0.9993988,0.00023039883,0.000026173957,0.00015031292,0.00013136573,0.000062792315],"domain_scores_gemma":[0.99855477,0.00027391347,0.00019286449,0.0004941542,0.00037957192,0.00010470292],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0018462219,0.0003794446,0.0002349122,0.00065553887,0.00049350876,0.0012410512,0.0010529908,0.00048488096,0.004828358],"category_scores_gemma":[0.003355309,0.00019859525,0.00034439308,0.0011225081,0.0003349335,0.0015520894,0.0017273617,0.0006681,0.00061930105],"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":[0.00025273018,0.00023288812,0.12041114,0.00032913196,0.0002625576,0.00027662373,0.00047658244,0.25445458,0.0077331453,0.028686184,0.039613318,0.5472711],"study_design_scores_gemma":[0.000059437098,0.00008888813,0.047766455,0.00015392453,0.000078063196,0.00014549936,0.00052261,0.8373986,0.008175162,0.035243724,0.07027719,0.00009032013],"about_ca_topic_score_codex":0.021560516,"about_ca_topic_score_gemma":0.02562235,"teacher_disagreement_score":0.021560516,"about_ca_system_score_codex":0.0010103057,"about_ca_system_score_gemma":0.0014013902,"threshold_uncertainty_score":0.042870045},"labels":[],"label_agreement":null},{"id":"W2163754071","doi":"10.1186/s13021-014-0009-y","title":"A wood density and aboveground biomass variability assessment using pre-felling inventory data in Costa Rica","year":2014,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"McGill University","funders":"McGill University","keywords":"Felling; Environmental science; Biomass (ecology); Diameter at breast height; Forest inventory; Forestry; Forest management; Spatial distribution; Spatial variability; Forest ecology; Ecosystem; Atmospheric sciences; Physical geography; Agroforestry; Geography; Ecology; Biology; Mathematics; Statistics; Geology; Remote sensing","score_opus":0.0140639648367688,"score_gpt":0.25297396382071907,"score_spread":0.23890999898395027,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2163754071","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":[0.9988825,0.00006975537,0.00022324677,0.000012692559,3.2396838e-7,0.000005665485,0.00040499395,0.000006732602,0.00039405207],"genre_scores_gemma":[0.99913186,0.00004278973,0.000358945,0.0000042880065,7.623526e-7,0.0000060784373,0.00038488416,0.0000013173213,0.00006918103],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998,0.00007496637,0.000021114301,0.000047447866,0.00003277578,0.000023706145],"domain_scores_gemma":[0.99920803,0.00022937648,0.00018452534,0.0001394005,0.00020182473,0.000036872418],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00059952127,0.00021431583,0.0001662701,0.0009138145,0.00022799025,0.0005308965,0.00033920654,0.00012031107,0.00029836752],"category_scores_gemma":[0.0012722962,0.00011034064,0.00022319495,0.0010476795,0.00016404055,0.00023473756,0.00040150934,0.00010704668,0.00006763519],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000021333137,0.000017419554,0.99014413,0.000020058773,0.0000738015,0.000059930884,0.00042593727,0.0010741635,0.0012960443,0.00004742424,0.00009577065,0.0067239786],"study_design_scores_gemma":[6.976406e-7,0.000004683208,0.9975484,0.000004771601,0.000010040417,0.000020093543,0.00015730137,0.0019644275,0.00013315269,0.000010527927,0.00014418249,0.0000017714124],"about_ca_topic_score_codex":0.1359862,"about_ca_topic_score_gemma":0.18479687,"teacher_disagreement_score":0.1359862,"about_ca_system_score_codex":0.0007020751,"about_ca_system_score_gemma":0.00027511828,"threshold_uncertainty_score":0.27038938},"labels":[],"label_agreement":null},{"id":"W2199623839","doi":"10.1186/s13021-015-0041-6","title":"Choice of satellite imagery and attribution of changes to disturbance type strongly affects forest carbon balance estimates","year":2015,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Remote Sensing in Agriculture","field":"Environmental Science","cited_by":23,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Commission for Environmental Cooperation","keywords":"Environmental science; Disturbance (geology); Land cover; Satellite imagery; Greenhouse gas; Vegetation (pathology); Satellite; Remote sensing; Physical geography; Climate change; Ecosystem; Terrestrial ecosystem; Land use; Carbon sequestration; Carbon cycle; Climatology; Geography; Ecology","score_opus":0.013009986613568827,"score_gpt":0.22864358745114152,"score_spread":0.2156336008375727,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2199623839","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":[0.98868096,0.00022608692,0.0072916048,0.000111643436,0.00001789985,0.00007548109,0.0020861323,0.00010420574,0.0014059246],"genre_scores_gemma":[0.9892748,0.00013675314,0.00846638,0.000047485973,0.000009323998,0.000031170614,0.0018043687,0.00003687614,0.00019289256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99875736,0.00062780594,0.00013327134,0.00020416094,0.00017636317,0.00010111847],"domain_scores_gemma":[0.9957416,0.0024146368,0.0008866212,0.00048189223,0.00036357917,0.00011173918],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0029597809,0.0005096843,0.00035170256,0.0006678059,0.00022740236,0.0008833745,0.00037323745,0.00036546282,0.00058650784],"category_scores_gemma":[0.0076348362,0.000307361,0.00056556804,0.0009930851,0.0003844306,0.00057793997,0.00036129061,0.00026965342,0.00018587612],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0007952616,0.00012733508,0.86127365,0.00021710017,0.0006102409,0.00027911965,0.0001425449,0.075514264,0.018401874,0.00033849097,0.00087693863,0.041423306],"study_design_scores_gemma":[0.000077896926,0.00012851792,0.92767644,0.000052928775,0.00020993994,0.0001847535,0.00021249389,0.061353564,0.008356946,0.0003715053,0.0013323658,0.000042690383],"about_ca_topic_score_codex":0.013481214,"about_ca_topic_score_gemma":0.02431261,"teacher_disagreement_score":0.013481214,"about_ca_system_score_codex":0.00045386833,"about_ca_system_score_gemma":0.00025890436,"threshold_uncertainty_score":0.02680546},"labels":[],"label_agreement":null},{"id":"W2399385230","doi":"10.1186/s13021-016-0047-8","title":"Modelling forest carbon stock changes as affected by harvest and natural disturbances. I. Comparison with countries’ estimates for forest management","year":2016,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":31,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Greenhouse gas; Kyoto Protocol; United Nations Framework Convention on Climate Change; Climate change; Stock (firearms); Carbon stock; European union; Environmental science; Environmental resource management; Business; Geography","score_opus":0.005702169225492221,"score_gpt":0.20728504480959828,"score_spread":0.20158287558410606,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2399385230","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":[0.98476404,0.00028941722,0.007898788,0.00019937447,0.000021313692,0.000051304585,0.0027733953,0.0001341453,0.003868246],"genre_scores_gemma":[0.99393797,0.000077054705,0.004694152,0.000018058741,0.0000035790547,0.000036474656,0.00095806376,0.000021138534,0.0002535373],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99960774,0.00019741463,0.00002845297,0.000086886925,0.000033800403,0.000045602425],"domain_scores_gemma":[0.9987255,0.0008189738,0.00014740761,0.00013536226,0.0001227254,0.000050018407],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0022522127,0.0006764734,0.00041650046,0.0008164229,0.0002444236,0.00085974106,0.00074993406,0.0008792656,0.000817611],"category_scores_gemma":[0.0031369762,0.00029534995,0.0012210511,0.0013496991,0.0003743166,0.0010742904,0.0004238797,0.0006855668,0.00013367597],"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":[0.00017142454,0.00006761243,0.06143785,0.0000734052,0.00016903036,0.00007919167,0.00004924396,0.9316407,0.0003580496,0.00089799997,0.00042681466,0.0046287077],"study_design_scores_gemma":[0.000048669845,0.00017810313,0.05392215,0.00004759871,0.00012029245,0.00008372665,0.0002789228,0.94145036,0.0014399799,0.0012739138,0.0011198185,0.000036476093],"about_ca_topic_score_codex":0.055654023,"about_ca_topic_score_gemma":0.030623298,"teacher_disagreement_score":0.055654023,"about_ca_system_score_codex":0.0015165529,"about_ca_system_score_gemma":0.0008165762,"threshold_uncertainty_score":0.110660136},"labels":[],"label_agreement":null},{"id":"W2510525003","doi":"10.1186/s13021-016-0059-4","title":"Modelling forest carbon stock changes as affected by harvest and natural disturbances. II. EU-level analysis","year":2016,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada; European Commission","keywords":"Greenhouse gas; Carbon sink; Environmental science; Climate change; Stock (firearms); Forest management; Afforestation; Deforestation (computer science); Reforestation; Forestry; Land use, land-use change and forestry; Climate change mitigation; Land use; Natural resource economics; Agroforestry; Geography; Engineering; Ecology; Economics","score_opus":0.009274069882988973,"score_gpt":0.20863217360459316,"score_spread":0.19935810372160417,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2510525003","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":[0.9609219,0.00038586385,0.02763609,0.00012933316,0.000021153386,0.00006402907,0.004003663,0.00020468658,0.0066332817],"genre_scores_gemma":[0.98975414,0.00013999762,0.0075236936,0.000024251516,0.0000066093653,0.00006328694,0.0015635381,0.00004692312,0.0008775368],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997981,0.0000640508,0.000014798302,0.00006570005,0.000022101785,0.00003536931],"domain_scores_gemma":[0.9995384,0.00029256943,0.00007070174,0.000038591086,0.000037421465,0.000022414231],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009654487,0.00058555,0.00042091453,0.00045036754,0.00017640048,0.00087923795,0.0006145141,0.0009459299,0.0015753155],"category_scores_gemma":[0.0012852841,0.0002624279,0.001397798,0.0010494081,0.00032325275,0.0005468769,0.00046530046,0.00046634368,0.00020605083],"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":[0.000046290308,0.000027229906,0.011912981,0.000055620567,0.00007559176,0.00004200163,0.000013041151,0.9839723,0.00041513544,0.00092822814,0.00017499461,0.0023366006],"study_design_scores_gemma":[0.000016528233,0.00006402083,0.019787524,0.0000141718365,0.00006673989,0.000031618223,0.000041338382,0.97773576,0.0006342101,0.0009771818,0.00061883865,0.000012188713],"about_ca_topic_score_codex":0.021494295,"about_ca_topic_score_gemma":0.012117691,"teacher_disagreement_score":0.021494295,"about_ca_system_score_codex":0.0008583369,"about_ca_system_score_gemma":0.0005377908,"threshold_uncertainty_score":0.042738378},"labels":[],"label_agreement":null},{"id":"W2543566983","doi":"10.1186/s13021-016-0065-6","title":"Improving carbon monitoring and reporting in forests using spatially-explicit information","year":2016,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":26,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Canadian Forest Service; Natural Resources Canada","funders":"Canadian Forest Service; Natural Resources Canada; Canadian Space Agency; U.S. Forest Service; Université Laval","keywords":"Greenhouse gas; Environmental science; Climate change; Carbon sink; Biosphere; Carbon accounting; Forest inventory; Carbon cycle; Environmental resource management; Forest management; Ecosystem; Agroforestry; Ecology","score_opus":0.012944804066049892,"score_gpt":0.2367628262697059,"score_spread":0.22381802220365601,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2543566983","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":[0.8165394,0.000991402,0.15458968,0.0012561278,0.00005063195,0.00051172456,0.012622788,0.0014981327,0.011940095],"genre_scores_gemma":[0.9130249,0.0003421021,0.08247968,0.00009067925,0.000013866398,0.0001262807,0.003556867,0.000023318982,0.00034233058],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99833626,0.0007820445,0.000145199,0.0002631482,0.00030152427,0.00017177174],"domain_scores_gemma":[0.9932342,0.003292626,0.0013491072,0.00076068717,0.0012431088,0.0001202945],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0039377087,0.0004728222,0.00024271531,0.0015014096,0.00043785857,0.001249479,0.0011094,0.00040905943,0.0010259594],"category_scores_gemma":[0.010493081,0.00024842448,0.00051832,0.0028507512,0.00037338608,0.002280451,0.0008888693,0.00040670508,0.00014789373],"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":[0.0001270803,0.00020808507,0.26507327,0.00027012598,0.00020687017,0.00008481761,0.00028419975,0.6072358,0.0034319717,0.0033175834,0.0027683119,0.116991885],"study_design_scores_gemma":[0.0000660757,0.00006514852,0.13479504,0.00010739116,0.00011326726,0.000064445056,0.00038742754,0.8495544,0.0057938052,0.0031187257,0.0058593396,0.0000750473],"about_ca_topic_score_codex":0.39027968,"about_ca_topic_score_gemma":0.39009318,"teacher_disagreement_score":0.39027968,"about_ca_system_score_codex":0.0030419624,"about_ca_system_score_gemma":0.0038598545,"threshold_uncertainty_score":0.776016},"labels":[],"label_agreement":null},{"id":"W2594333633","doi":"10.1186/s13021-017-0074-0","title":"Scenarios in tropical forest degradation: carbon stock trajectories for REDD+","year":2017,"lang":"en","type":"review","venue":"Carbon Balance and Management","topic":"Fire effects on ecosystems","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 British Columbia","funders":"United States Agency for International Development; University of Colorado Boulder; U.S. Department of State","keywords":"Logging; Disturbance (geology); Environmental science; Rainforest; Forest degradation; Tropical rainforest; Carbon stock; Context (archaeology); Biomass (ecology); Agroforestry; Ecosystem; Forestry; Ecology; Climate change; Land degradation; Geography; Land use; Biology","score_opus":0.03387413272033012,"score_gpt":0.2904034185940845,"score_spread":0.25652928587375434,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2594333633","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":[0.0008798841,0.9967415,0.00035006212,0.00037610382,0.00008913174,0.000011027287,0.00013883326,0.000010856314,0.0014025586],"genre_scores_gemma":[0.007374861,0.99150074,0.0005638049,0.00009489465,0.000058774836,0.000013031704,0.00011342627,0.0000027824058,0.00027773395],"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9997811,0.000054821205,0.00003493932,0.000040432875,0.00006847294,0.000020224219],"domain_scores_gemma":[0.99949014,0.00025534263,0.00012257141,0.000013534071,0.00009616227,0.000022258417],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009846335,0.0007490184,0.0007743801,0.0018471103,0.00020726855,0.0008093127,0.000748074,0.0007242596,0.0029521903],"category_scores_gemma":[0.0012325082,0.00019620941,0.0011250784,0.0021433001,0.00019832826,0.00094193325,0.00047800786,0.00073216873,0.0005013291],"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":[0.000108993605,0.000051391336,0.0013225604,0.059375472,0.0004664289,0.00020808868,0.00012892665,0.0055034705,0.0015821005,0.0068864534,0.012409054,0.9119569],"study_design_scores_gemma":[0.000035384946,0.00031106296,0.00790562,0.042880926,0.0014013374,0.0013492954,0.000398749,0.0022660259,0.0027069445,0.009160275,0.93149084,0.00009353576],"about_ca_topic_score_codex":0.0036972626,"about_ca_topic_score_gemma":0.0065685636,"teacher_disagreement_score":0.0036972626,"about_ca_system_score_codex":0.0009497753,"about_ca_system_score_gemma":0.0018364717,"threshold_uncertainty_score":0.009876072},"labels":[],"label_agreement":null},{"id":"W2735365821","doi":"10.1186/s13021-017-0083-z","title":"Historical effects of dissolved organic carbon export and land management decisions on the watershed-scale forest carbon budget of a coastal British Columbia Douglas-fir-dominated landscape","year":2017,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Hydrology and Watershed Management Studies","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Victoria; Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service","keywords":"Environmental science; Watershed; Deforestation (computer science); Dissolved organic carbon; Hydrology (agriculture); Carbon sequestration; Ecosystem; Disturbance (geology); Ecology; Carbon dioxide; Geology; Oceanography","score_opus":0.004786173402161169,"score_gpt":0.185028355003975,"score_spread":0.18024218160181382,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2735365821","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":[0.9991842,0.00002035269,0.000027517603,0.00002259417,5.3422264e-7,0.0000026422604,0.0004028561,0.0000028174422,0.0003365974],"genre_scores_gemma":[0.99891496,0.00004049034,0.00008341081,0.000011028559,5.963911e-7,0.0000037586392,0.0005526786,0.0000021349215,0.00039092256],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99984646,0.000023588756,0.000009712441,0.000036369853,0.000027364427,0.000056523324],"domain_scores_gemma":[0.99939775,0.00012878567,0.00012386969,0.000031609143,0.00015927663,0.00015867534],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00039282834,0.00017474683,0.00015773092,0.0004457652,0.00050420663,0.0007654137,0.00032593822,0.00026392337,0.0009976993],"category_scores_gemma":[0.0012801632,0.00017403331,0.00013603983,0.0008237832,0.00040928822,0.00023674831,0.00026602857,0.00027371017,0.00009578467],"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":[0.0002523677,0.000091048656,0.967963,0.000025853124,0.00007768756,0.00030753756,0.00021682342,0.018538974,0.0033694096,0.00021427056,0.0005922666,0.008350893],"study_design_scores_gemma":[0.0000048617553,0.00001872243,0.9924402,0.0000038718513,0.000013420242,0.000017075101,0.00017650462,0.0067152623,0.00023381681,0.000025186124,0.0003434514,0.0000075371036],"about_ca_topic_score_codex":0.725625,"about_ca_topic_score_gemma":0.8919684,"teacher_disagreement_score":0.27437502,"about_ca_system_score_codex":0.006970499,"about_ca_system_score_gemma":0.0021928926,"threshold_uncertainty_score":0.5519817},"labels":[],"label_agreement":null},{"id":"W2783454034","doi":"10.1186/s13021-017-0090-0","title":"Ecosystem carbon emissions from 2015 forest fires in interior Alaska","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"Ames Research Center; National Aeronautics and Space Administration","keywords":"Environmental science; Topsoil; Taiga; Boreal; Ecosystem; Forest floor; Terrestrial ecosystem; Soil carbon; Hydrology (agriculture); Soil water; Forestry; Soil science; Ecology; Geology; Geography","score_opus":0.0046876524918340115,"score_gpt":0.2089194575157308,"score_spread":0.2042318050238968,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2783454034","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":[0.9967601,0.00020884287,0.00011280441,0.000028146345,0.000017289896,0.000006949058,0.00096844096,0.000014540848,0.0018829105],"genre_scores_gemma":[0.9985123,0.00019207933,0.00013849408,0.000017713723,0.000006621623,0.0000073786737,0.00077408407,0.0000027004214,0.00034850833],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998387,0.000016400023,0.000018402712,0.000035068857,0.00006660735,0.000024800496],"domain_scores_gemma":[0.9998647,0.000023191533,0.00003566456,0.000007813236,0.00004352192,0.000025163872],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031649874,0.00036621356,0.00014032067,0.00052527484,0.0005646936,0.0005986488,0.00018127785,0.00028410647,0.0008068844],"category_scores_gemma":[0.00029525647,0.00009949322,0.00029218735,0.00056574494,0.0001372965,0.00031157737,0.0004734656,0.00022112671,0.00012356412],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.00038634025,0.0001364983,0.9544709,0.00020773806,0.00029141863,0.00094880536,0.00054885,0.014740996,0.007762786,0.00019599452,0.0012670569,0.019042503],"study_design_scores_gemma":[0.000006923739,0.00009232955,0.9887245,0.000081222504,0.00008384171,0.00022835315,0.0013684795,0.004781617,0.002547319,0.00018036283,0.0018879125,0.000016965547],"about_ca_topic_score_codex":0.041685272,"about_ca_topic_score_gemma":0.09801203,"teacher_disagreement_score":0.041685272,"about_ca_system_score_codex":0.00093596126,"about_ca_system_score_gemma":0.00049040816,"threshold_uncertainty_score":0.082885325},"labels":[],"label_agreement":null},{"id":"W2802056020","doi":"10.1186/s13021-018-0094-4","title":"Potential carbon loss associated with post-settlement wetland conversion in southern Ontario, Canada","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Ducks Unlimited Canada; University of Toronto","funders":"Connaught Fund; University of Toronto; Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Settlement (finance); Wetland; Environmental science; Carbon fibers; Environmental protection; Greenhouse gas; Geography; Ecology; Geology; Oceanography; Business","score_opus":0.002641081137738125,"score_gpt":0.16240972548468047,"score_spread":0.15976864434694235,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2802056020","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":[0.9897481,0.0004203317,0.00022378055,0.00038135026,0.000007976786,0.000023337197,0.0033000612,0.00001910461,0.0058760536],"genre_scores_gemma":[0.9966202,0.00022354214,0.00024310994,0.00004409886,0.0000020087034,0.00000845025,0.00080003304,0.000004488296,0.0020540091],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99977964,0.000008683298,0.0000063909492,0.000031811018,0.00008225467,0.00009118448],"domain_scores_gemma":[0.99942124,0.000029351026,0.000102320155,0.000018632962,0.0003117785,0.000116682684],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00017827282,0.00018856158,0.0001343147,0.0008187969,0.0021173721,0.0010243518,0.0005921947,0.00023829371,0.0018919575],"category_scores_gemma":[0.000741182,0.00013897497,0.00019110559,0.0016832527,0.00069266674,0.00026129518,0.0006189004,0.00025610992,0.00013091778],"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":[0.000088550405,0.000016195845,0.9747098,0.000079511155,0.0000482984,0.0004728369,0.002015617,0.0013442887,0.0017665835,0.0005158783,0.002633128,0.01630935],"study_design_scores_gemma":[0.0000030808715,0.0000065107633,0.99370944,0.000025507838,0.000009613314,0.00008273395,0.0018458567,0.0007541455,0.00016230438,0.00006307299,0.0033307828,0.000006890542],"about_ca_topic_score_codex":0.9967732,"about_ca_topic_score_gemma":0.9991634,"teacher_disagreement_score":0.030291457,"about_ca_system_score_codex":0.030291457,"about_ca_system_score_gemma":0.024980841,"threshold_uncertainty_score":0.21978092},"labels":[],"label_agreement":null},{"id":"W2805883065","doi":"10.1186/s13021-018-0096-2","title":"Science-based approach for credible accounting of mitigation in managed forests","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":74,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Environment Research Council; Sight Research UK","keywords":"Kyoto Protocol; Greenhouse gas; Baseline (sea); Counterfactual thinking; Credibility; European union; Sustainable forest management; Forest management; Climate change; Environmental resource management; Additionality; Carbon accounting; Carbon offset; Climate change mitigation; Business; Accounting; Natural resource economics; Economics; Environmental science; Environmental economics; Political science; Agroforestry; International trade","score_opus":0.009541408676378637,"score_gpt":0.23548537949015466,"score_spread":0.225943970813776,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2805883065","genre_codex":"methods","genre_gemma":"methods","domain_codex":null,"domain_gemma":null,"model_version":"metacan-v3-hybrid-931329e0061c","genre_candidate":"methods","genre_consensus":"methods","domain_candidate":null,"domain_consensus":null,"prediction_status":"machine_predicted_unvalidated","genre_scores_codex":[0.009746348,0.00022022187,0.97150755,0.0013641799,0.00012356036,0.00017497457,0.00031245558,0.00018348235,0.016367177],"genre_scores_gemma":[0.45942605,0.0005954647,0.53151566,0.00037211244,0.0003402235,0.0009728578,0.0005893721,0.00016294043,0.006025285],"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","domain_scores_codex":[0.9964386,0.0014462962,0.00021937572,0.000549949,0.0011536978,0.00019203997],"domain_scores_gemma":[0.9907741,0.005447981,0.000987325,0.0009048347,0.0016643045,0.00022148887],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009518439,0.00091760536,0.0010206185,0.0027022543,0.00096554804,0.0036834807,0.0027606294,0.0030301604,0.0077283275],"category_scores_gemma":[0.018703012,0.0006255929,0.002301185,0.0019640697,0.002262962,0.003908269,0.0033826563,0.0028537456,0.0006552756],"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":[0.00003488909,0.00006226466,0.0010673155,0.00012799927,0.00008869447,0.00022939389,0.00016839443,0.4537361,0.00067525404,0.5249655,0.001356984,0.017487127],"study_design_scores_gemma":[0.000015934223,0.000025923655,0.00027322603,0.00005023127,0.000021291604,0.00004154596,0.000052703,0.61958003,0.0005053017,0.37364298,0.005761659,0.000029160263],"about_ca_topic_score_codex":0.006277992,"about_ca_topic_score_gemma":0.004205166,"teacher_disagreement_score":0.009518439,"about_ca_system_score_codex":0.0043743593,"about_ca_system_score_gemma":0.005270376,"threshold_uncertainty_score":0.050338924},"labels":[],"label_agreement":null},{"id":"W2806538062","doi":"10.1186/s13021-018-0095-3","title":"Delineating managed land for reporting national greenhouse gas emissions and removals to the United Nations framework convention on climate change","year":2018,"lang":"en","type":"review","venue":"Carbon Balance and Management","topic":"Social Acceptance of Renewable Energy","field":"Social Sciences","cited_by":85,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Agriculture and Agri-Food Canada; Canadian Forest Service; Natural Resources Canada","funders":"U.S. Forest Service","keywords":"Greenhouse gas; Land use; Land use, land-use change and forestry; United Nations Framework Convention on Climate Change; Land management; Climate change; Environmental resource management; Environmental science; Climate change mitigation; Land tenure; Land reclamation; Environmental planning; Business; Environmental protection; Natural resource economics; Kyoto Protocol; Geography; Agriculture; Economics; Ecology","score_opus":0.11979424215140723,"score_gpt":0.40330533618582215,"score_spread":0.28351109403441493,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2806538062","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":[0.31307614,0.13523152,0.13334937,0.032683518,0.0054961923,0.0054209237,0.124907516,0.0007572801,0.24907757],"genre_scores_gemma":[0.7099909,0.06204356,0.14216493,0.0060797683,0.0006442012,0.004676455,0.06819777,0.0002917546,0.0059106825],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.98061794,0.0062285685,0.0040562237,0.0011162699,0.0070817606,0.0008991989],"domain_scores_gemma":[0.96259385,0.007350202,0.012262172,0.0027629936,0.014492073,0.000538701],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.014357989,0.00045779592,0.0004165799,0.007265043,0.0010576864,0.0020601156,0.0016478733,0.00069404254,0.0010564423],"category_scores_gemma":[0.032505855,0.00023730948,0.0006387122,0.012558448,0.0016376185,0.0030648238,0.0017009516,0.0009431307,0.00034647598],"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":[0.00019084486,0.00014117316,0.31336975,0.014518539,0.00033069038,0.0009863623,0.008068818,0.0047417823,0.01077518,0.096740544,0.14672282,0.4034136],"study_design_scores_gemma":[0.000036234414,0.00012200365,0.23845865,0.010117643,0.00022762982,0.0005537863,0.0092121,0.0035042434,0.0077810828,0.009081267,0.72074497,0.00016037247],"about_ca_topic_score_codex":0.09145175,"about_ca_topic_score_gemma":0.107931465,"teacher_disagreement_score":0.09145175,"about_ca_system_score_codex":0.0037313162,"about_ca_system_score_gemma":0.012007114,"threshold_uncertainty_score":0.18183893},"labels":[],"label_agreement":null},{"id":"W2889389033","doi":"10.1186/s13021-018-0099-z","title":"Climate change mitigation in Canada’s forest sector: a spatially explicit case study for two regions","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Biomass Utilization and Management","field":"Engineering","cited_by":36,"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":"U.S. Forest Service; Government of Canada; Comisión Nacional Forestal; Commission for Environmental Cooperation; Government of Ontario; Canadian Forest Service; Ontario Ministry of Natural Resources and Forestry; Natural Resources Canada; Ministry of Natural Resources","keywords":"Greenhouse gas; Bioenergy; Environmental science; Fossil fuel; Forest management; Sector model; Climate change; Climate change mitigation; Forest product; Scenario analysis; Agroforestry; Natural resource economics; Biofuel; Business; Agriculture; Ecology; Economics; Waste management; Engineering","score_opus":0.019891655381437043,"score_gpt":0.23557090916119547,"score_spread":0.21567925377975844,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2889389033","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":[0.9910189,0.00030972686,0.0008293679,0.0003750552,0.000007328791,0.00011259718,0.0020944052,0.000053712116,0.0051988745],"genre_scores_gemma":[0.994696,0.00023262681,0.0026734804,0.000054863052,0.00000317518,0.00003919353,0.0009774248,0.000011285927,0.0013119208],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9995703,0.00008024223,0.000011261841,0.000053157695,0.00008619406,0.00019883185],"domain_scores_gemma":[0.99946433,0.00016158084,0.000051318537,0.00003696346,0.00018277825,0.000102959464],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00046776724,0.00055432005,0.00030470072,0.0008897747,0.002211233,0.001357746,0.0014719014,0.0007893084,0.0014720395],"category_scores_gemma":[0.0009723207,0.00026820882,0.0007552685,0.0027856063,0.00092662673,0.0004718647,0.0007889734,0.0006224242,0.00009724134],"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":[0.0006585779,0.0009156987,0.26700854,0.0004745653,0.00045443454,0.0045225834,0.002130555,0.67689157,0.0037571562,0.0075146323,0.0061523733,0.029519366],"study_design_scores_gemma":[0.0003830616,0.00028348656,0.34657663,0.0001923305,0.00043815252,0.0004978778,0.016296241,0.61081463,0.003214941,0.0022313993,0.01881256,0.00025859236],"about_ca_topic_score_codex":0.98977005,"about_ca_topic_score_gemma":0.9924913,"teacher_disagreement_score":0.028964465,"about_ca_system_score_codex":0.028964465,"about_ca_system_score_gemma":0.018138481,"threshold_uncertainty_score":0.21015292},"labels":[],"label_agreement":null},{"id":"W2890397926","doi":"10.1186/s13021-018-0105-5","title":"Spatially-integrated estimates of net ecosystem exchange and methane fluxes from Canadian peatlands","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Peatlands and Wetlands Ecology","field":"Environmental Science","cited_by":79,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"","keywords":"Peat; Bog; Environmental science; Boreal; Wetland; Ombrotrophic; Taiga; Growing season; Primary production; Ecosystem; Physical geography; Eddy covariance; Carbon sink; Hydrology (agriculture); Forestry; Ecology; Geography; Geology","score_opus":0.005755476405983798,"score_gpt":0.19924691592517133,"score_spread":0.1934914395191875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2890397926","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":[0.98919255,0.0002943808,0.00073841156,0.00002158104,0.0000030754343,0.000018320394,0.007833018,0.000046243636,0.0018523812],"genre_scores_gemma":[0.98538315,0.00038243187,0.0028852255,0.000013713781,0.000003241668,0.000029647967,0.0096433135,0.000016671544,0.0016424961],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998153,0.000008206731,0.000008807359,0.000038306127,0.00007866191,0.000050779374],"domain_scores_gemma":[0.99956053,0.00002491935,0.00004505569,0.000017053932,0.00031367148,0.000038781138],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000273151,0.0003584317,0.0002554817,0.002141329,0.0010478102,0.0006032785,0.00043074592,0.00016599525,0.0008710797],"category_scores_gemma":[0.00058373564,0.00022476754,0.00045197754,0.0026971265,0.00018843541,0.00026944114,0.00033806046,0.00016680175,0.00012553392],"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":[0.00017265668,0.000052250674,0.9197923,0.00018522689,0.00032123743,0.00021664739,0.00088888855,0.01997507,0.0115473,0.0004964301,0.0022058436,0.044146046],"study_design_scores_gemma":[0.0000049735477,0.000006530358,0.99220663,0.000015814,0.000037258444,0.00002200289,0.00025501524,0.0048456877,0.0007237477,0.000038257927,0.0018289089,0.0000151586955],"about_ca_topic_score_codex":0.9906521,"about_ca_topic_score_gemma":0.9967512,"teacher_disagreement_score":0.009416556,"about_ca_system_score_codex":0.009416556,"about_ca_system_score_gemma":0.006519756,"threshold_uncertainty_score":0.06832218},"labels":[],"label_agreement":null},{"id":"W2892126241","doi":"10.1186/s13021-018-0100-x","title":"A systems approach to assess climate change mitigation options in landscapes of the United States forest sector","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","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":false,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Canadian Forest Service; U.S. Forest Service; Comisión Nacional Forestal; Commission for Environmental Cooperation","keywords":"Environmental science; Greenhouse gas; Baseline (sea); Climate change; Climate change mitigation; Scenario analysis; Carbon sink; Land use, land-use change and forestry; Bioenergy; Carbon sequestration; Primary production; Land use; Ecosystem; Forest management; Ecosystem services; Agroforestry; Business; Biofuel; Ecology; Carbon dioxide","score_opus":0.023702962147046744,"score_gpt":0.23844517945641072,"score_spread":0.214742217309364,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2892126241","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":[0.78383833,0.0011579789,0.17113358,0.0013967598,0.00010755658,0.0025703025,0.006886375,0.0003955652,0.03251357],"genre_scores_gemma":[0.942419,0.0002631615,0.05370025,0.00012303724,0.00002064429,0.0011612736,0.0011531642,0.000018084002,0.0011414328],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9981742,0.0012421819,0.00007243258,0.00022749392,0.00017081018,0.00011292557],"domain_scores_gemma":[0.99790037,0.0013283554,0.00028623673,0.00007852743,0.00028338205,0.00012320989],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003769075,0.0010252065,0.00046829705,0.0029207338,0.00097153353,0.0023527995,0.0010289954,0.0011918389,0.0054562413],"category_scores_gemma":[0.0045322035,0.00038261386,0.0015224064,0.002191983,0.00077938725,0.0017193593,0.0018057475,0.0007016276,0.00017098573],"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":[0.00014711934,0.00033113125,0.06334008,0.00023895796,0.00071922515,0.00016177974,0.00029623395,0.8849782,0.0011577992,0.022278626,0.0015771098,0.024773743],"study_design_scores_gemma":[0.00005691299,0.00039531378,0.0205859,0.00006986798,0.00018122896,0.000043129392,0.0011263697,0.94932973,0.0004712234,0.023842223,0.0038597574,0.000038347745],"about_ca_topic_score_codex":0.03228048,"about_ca_topic_score_gemma":0.038526386,"teacher_disagreement_score":0.03228048,"about_ca_system_score_codex":0.0070119915,"about_ca_system_score_gemma":0.0026046417,"threshold_uncertainty_score":0.06418514},"labels":[],"label_agreement":null},{"id":"W2905265363","doi":"10.1186/s13021-018-0114-4","title":"Pasture enclosures increase soil carbon dioxide flux rate in Semiarid Rangeland, Kenya","year":2018,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Rangeland Management and Livestock Ecology","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Agriculture and Agri-Food Canada","funders":"Consortium of International Agricultural Research Centers; International Livestock Research Institute; Imperial College London; Harvard University","keywords":"Pasture; Environmental science; Rangeland; Grazing; Greenhouse gas; Vegetation (pathology); Soil carbon; Biomass (ecology); Carbon sequestration; Enclosure; Soil water; Carbon dioxide; Agronomy; Hydrology (agriculture); Agroforestry; Soil science; Ecology; Biology","score_opus":0.003971518143506383,"score_gpt":0.194993524785667,"score_spread":0.19102200664216062,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W2905265363","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":[0.9995777,0.00011852449,0.0000108523745,0.0000065037825,7.1760644e-7,0.0000036004956,0.000052781692,0.0000011926364,0.00022823675],"genre_scores_gemma":[0.9990638,0.00025045846,0.000100795514,0.000017446033,0.0000012241075,0.0000077011155,0.00013659878,0.0000014947899,0.0004205589],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99992335,0.00001553352,0.0000071945115,0.000021082216,0.000012184427,0.000020743157],"domain_scores_gemma":[0.9997547,0.000032139953,0.000120960605,0.000008550004,0.000030112005,0.000053418826],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00012121572,0.00023301563,0.00018758177,0.00029043097,0.0004037661,0.0003076894,0.00017875659,0.00015186163,0.0012146281],"category_scores_gemma":[0.00025376075,0.0001720737,0.00013714185,0.00030350825,0.00024830538,0.00022332839,0.00019148516,0.00013151974,0.00014062769],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0011897816,0.0006013948,0.75512254,0.00029617036,0.00014888775,0.001551628,0.0016748419,0.00022049385,0.22892949,0.00010225363,0.00038662928,0.009775873],"study_design_scores_gemma":[0.0000053725093,0.00012783166,0.99825627,0.000007833441,0.000013341267,0.000092361544,0.00039467184,0.00005174609,0.00077254756,0.0000063556968,0.00026946256,0.0000022690763],"about_ca_topic_score_codex":0.029285513,"about_ca_topic_score_gemma":0.13625197,"teacher_disagreement_score":0.029285513,"about_ca_system_score_codex":0.0005795172,"about_ca_system_score_gemma":0.000300848,"threshold_uncertainty_score":0.058230102},"labels":[],"label_agreement":null},{"id":"W3026552332","doi":"10.1186/s13021-020-00146-3","title":"Comparing a global high-resolution downscaled fossil fuel CO2 emission dataset to local inventory-based estimates over 14 global cities","year":2020,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Atmospheric and Environmental Gas Dynamics","field":"Environmental Science","cited_by":48,"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":"State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering; Hohai University; East China Normal University; Government of Jiangsu Province; National Natural Science Foundation of China; China Scholarship Council; National Aeronautics and Space Administration","keywords":"Emission inventory; Environmental science; Greenhouse gas; Beijing; Fossil fuel; Emission intensity; Global warming; Climate change; Estimation; Meteorology; Climatology; Geography; Air quality index; China; Economics; Engineering; Geology","score_opus":0.009929940684916332,"score_gpt":0.21655762967126482,"score_spread":0.20662768898634848,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3026552332","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":[0.89006186,0.00016889726,0.0050856527,0.00024901007,0.000041023326,0.00015909369,0.100238524,0.0005193454,0.003476497],"genre_scores_gemma":[0.75084686,0.00022816424,0.012232789,0.00011448128,0.000037891,0.00035911603,0.23514107,0.00019912739,0.00084054965],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9991347,0.0001588887,0.000105220315,0.0003061042,0.00018818452,0.000106934385],"domain_scores_gemma":[0.99744993,0.0003964659,0.00034820425,0.0006510749,0.0010563101,0.00009801612],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0012594362,0.00064869155,0.00040333715,0.0025107134,0.00033039076,0.0008726352,0.00065794925,0.00045450134,0.0010318668],"category_scores_gemma":[0.0026047556,0.0003293988,0.0008682527,0.0052727107,0.00035950847,0.0007792673,0.0012014431,0.0004924064,0.00056745927],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.0004467196,0.00031891602,0.8200107,0.00064761797,0.00096445525,0.0004425777,0.0006673957,0.10573591,0.007050929,0.0011552753,0.01619152,0.046368007],"study_design_scores_gemma":[0.00009724145,0.000057519163,0.949138,0.000073938805,0.00018555376,0.00007737076,0.0007597992,0.028001277,0.0050794533,0.00023617741,0.016219765,0.00007397717],"about_ca_topic_score_codex":0.08892367,"about_ca_topic_score_gemma":0.08858191,"teacher_disagreement_score":0.08892367,"about_ca_system_score_codex":0.0014044959,"about_ca_system_score_gemma":0.0012302638,"threshold_uncertainty_score":0.17681211},"labels":[],"label_agreement":null},{"id":"W3091718043","doi":"10.1186/s13021-020-00155-2","title":"Climate change mitigation in British Columbia’s forest sector: GHG reductions, costs, and environmental impacts","year":2020,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":67,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada; Canadian Forest Service; Government of Canada; U.S. Forest Service; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Environmental science; Fossil fuel; Bioenergy; Business as usual; Climate change mitigation; Natural resource economics; Portfolio; Renewable energy; Carbon sequestration; Environmental protection; Agroforestry; Business; Ecology; Economics; Engineering; Waste management","score_opus":0.008279758973176118,"score_gpt":0.19391580982015977,"score_spread":0.18563605084698365,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3091718043","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":[0.9522883,0.0028809574,0.000978131,0.0016933765,0.000030060906,0.000118437565,0.00270762,0.00010168843,0.03920143],"genre_scores_gemma":[0.9938082,0.0007761009,0.0009399683,0.00016388718,0.000004583836,0.000032328528,0.00056549086,0.000010658582,0.003698773],"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99898857,0.00024093041,0.000026376563,0.00008637801,0.00029905114,0.0003587669],"domain_scores_gemma":[0.99924314,0.00009193753,0.000057417823,0.00003579261,0.00046935407,0.0001024096],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00072154764,0.0005720003,0.00039690195,0.0011324983,0.0014266688,0.002266798,0.0010119409,0.0005340979,0.0028091364],"category_scores_gemma":[0.0010668382,0.00020070234,0.0004179663,0.002226232,0.00073292584,0.00041881105,0.0006071618,0.0005300678,0.00017194446],"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":[0.0019202189,0.0005712282,0.35865918,0.0014821804,0.0019330806,0.0018742913,0.000789455,0.34351882,0.028984655,0.010781252,0.021055719,0.22842987],"study_design_scores_gemma":[0.00025137552,0.0004117087,0.8612455,0.00045535836,0.0010393433,0.00023791452,0.004884183,0.076640435,0.008532129,0.002291075,0.043817528,0.00019351464],"about_ca_topic_score_codex":0.96696687,"about_ca_topic_score_gemma":0.9855069,"teacher_disagreement_score":0.033033133,"about_ca_system_score_codex":0.02678351,"about_ca_system_score_gemma":0.018029002,"threshold_uncertainty_score":0.1943289},"labels":[],"label_agreement":null},{"id":"W3095639333","doi":"10.1186/s13021-020-00159-y","title":"Responses of forest carbon and water coupling to thinning treatments from leaf to stand scales in a young montane pine forest","year":2020,"lang":"en","type":"article","venue":"Carbon Balance and Management","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":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Ministry of Forests; University of Waterloo; University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Thinning; Montane ecology; Environmental science; Forestry; Agroforestry; Carbon fibers; Forest management; Carbon sequestration; Geography; Ecology; Carbon dioxide; Biology; Mathematics","score_opus":0.008177763377446393,"score_gpt":0.20286089011281763,"score_spread":0.19468312673537125,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3095639333","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":[0.99973315,0.000033114466,0.00006996968,0.000004062831,0.0000011802041,0.000003697201,0.000058388698,0.000005009101,0.00009138307],"genre_scores_gemma":[0.99935323,0.000018492221,0.00015607463,0.0000163546,0.0000027099557,0.000012702465,0.00023614576,0.0000028300706,0.00020143753],"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","domain_scores_codex":[0.99987364,0.000018960887,0.0000099356985,0.000047668753,0.000024291456,0.000025506268],"domain_scores_gemma":[0.9995203,0.000093776216,0.00012373042,0.000025093459,0.00009233687,0.0001448115],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00025273458,0.00024784697,0.00031207356,0.00025591126,0.00030498323,0.00033671374,0.00020307911,0.00021667477,0.0004539309],"category_scores_gemma":[0.00028116957,0.00015524933,0.00021534348,0.00018692152,0.00020957553,0.0002326154,0.00020620374,0.00035142756,0.00007112228],"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":[0.0014487176,0.0005615156,0.4000284,0.00009235495,0.00014617255,0.0002273257,0.00041957392,0.0012670802,0.5861947,0.000051343206,0.0001741619,0.0093886],"study_design_scores_gemma":[0.000004117675,0.00017720359,0.9937644,0.0000013752292,0.000011238096,0.00002594355,0.000094324525,0.00076334993,0.005044978,0.000015346539,0.00009312511,0.0000045879856],"about_ca_topic_score_codex":0.0066136355,"about_ca_topic_score_gemma":0.012260606,"teacher_disagreement_score":0.0066136355,"about_ca_system_score_codex":0.0005177174,"about_ca_system_score_gemma":0.00023078997,"threshold_uncertainty_score":0.013150275},"labels":[],"label_agreement":null},{"id":"W3121174489","doi":"10.1186/s13021-020-00164-1","title":"Cumulative effects of natural and anthropogenic disturbances on the forest carbon balance in the oil sands region of Alberta, Canada; a pilot study (1985–2012)","year":2021,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Environmental and Social Impact Assessments","field":"Environmental Science","cited_by":11,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Environment and Climate Change Canada; Natural Resources Canada; Canadian Forest Service","funders":"Natural Resources Canada; Alberta-Pacific Forest Industries","keywords":"Environmental science; Disturbance (geology); Taiga; Oil sands; Carbon sink; Logging; Cumulative effects; Climate change; Productivity; Forestry; Environmental protection; Geography; Ecology","score_opus":0.008775383686227966,"score_gpt":0.2347880265695584,"score_spread":0.22601264288333045,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3121174489","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":[0.9984452,0.000039314367,0.00016972577,0.000021312706,0.0000012684286,0.00002918563,0.0005611836,0.000014970085,0.0007178606],"genre_scores_gemma":[0.9983021,0.00005898677,0.0006090889,0.000016054702,0.0000015018492,0.000013853752,0.0005474515,0.0000035026735,0.0004474851],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998005,0.00002199934,0.000009279959,0.000034168785,0.000070304966,0.000063724314],"domain_scores_gemma":[0.9996289,0.00004724601,0.000060079652,0.00002608513,0.00016057078,0.00007717912],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00060199393,0.00044090438,0.0001895968,0.0005755109,0.0013468759,0.00060853397,0.00078775303,0.00026872358,0.0008265269],"category_scores_gemma":[0.0006404479,0.0001679944,0.00034277982,0.0010936757,0.00070873636,0.00026611812,0.00038017635,0.00030573402,0.00008421001],"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":[0.0004924278,0.00056371366,0.9428215,0.000073687675,0.00013384369,0.0008799882,0.001545385,0.029341334,0.002772186,0.00038431707,0.00097412313,0.020017518],"study_design_scores_gemma":[0.000033981018,0.00015824652,0.9799484,0.00001013642,0.00006311124,0.00007856582,0.0023112625,0.015302889,0.0007392521,0.00010354284,0.0012298845,0.000020828953],"about_ca_topic_score_codex":0.9835526,"about_ca_topic_score_gemma":0.99213153,"teacher_disagreement_score":0.019022712,"about_ca_system_score_codex":0.019022712,"about_ca_system_score_gemma":0.010707362,"threshold_uncertainty_score":0.1380201},"labels":[],"label_agreement":null},{"id":"W3133569637","doi":"10.1186/s13021-021-00169-4","title":"Dramatic increase in water use efficiency with cumulative forest disturbance at the large forested watershed scale","year":2021,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Insect Ecology and Management","field":"Environmental Science","cited_by":15,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of British Columbia, Okanagan Campus; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Environmental science; Watershed; Disturbance (geology); Primary production; Evapotranspiration; Carbon sequestration; Ecosystem; Forest management; Forest ecology; Hydrology (agriculture); Ecology; Agroforestry; Carbon dioxide","score_opus":0.004882883027706976,"score_gpt":0.19069535352678418,"score_spread":0.1858124704990772,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3133569637","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":[0.99926203,0.000029499075,0.00022830507,0.000016945016,8.916865e-7,0.0000030248013,0.00013807921,0.000012690215,0.00030848724],"genre_scores_gemma":[0.99977714,0.000009690831,0.00007237607,0.0000038857534,6.415882e-7,0.0000016488864,0.0000632358,9.845237e-7,0.000070403024],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99973756,0.000029798905,0.00001811412,0.00007768651,0.000073098556,0.000063775085],"domain_scores_gemma":[0.99942786,0.000109681416,0.00021032669,0.000046143992,0.000099367215,0.00010667706],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00026057422,0.00014111878,0.00018154926,0.00041530092,0.0003126322,0.00073497096,0.00026347258,0.00017131554,0.0009084481],"category_scores_gemma":[0.0007142176,0.000096236115,0.00017875897,0.000743469,0.00062027504,0.00023079658,0.00043525224,0.00025805537,0.00005966777],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000079775906,0.000055889257,0.9775804,0.000024021996,0.000096376796,0.00021682403,0.00012945893,0.0045973957,0.011275125,0.00008666804,0.00018484742,0.0056731775],"study_design_scores_gemma":[9.4343915e-7,0.00001457847,0.9966028,0.0000015534832,0.000007876947,0.000036197103,0.00012735343,0.0025223978,0.00054453406,0.000027196143,0.00011166316,0.0000028455427],"about_ca_topic_score_codex":0.098776855,"about_ca_topic_score_gemma":0.19803321,"teacher_disagreement_score":0.098776855,"about_ca_system_score_codex":0.001376353,"about_ca_system_score_gemma":0.00071639044,"threshold_uncertainty_score":0.1964038},"labels":[],"label_agreement":null},{"id":"W3141509674","doi":"10.1186/s13021-021-00171-w","title":"Wood product carbon substitution benefits: a critical review of assumptions","year":2021,"lang":"en","type":"review","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":112,"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 Victoria; Government of British Columbia; Natural Resources Canada; Canadian Forest Service","funders":"University of British Columbia","keywords":"Substitution (logic); Carbon fibers; Product (mathematics); Environmental science; Greenhouse gas; Natural resource economics; Environmental economics; Waste management; Engineering; Economics; Computer science; Mathematics; Ecology; Biology","score_opus":0.03504690710551092,"score_gpt":0.3064251012624359,"score_spread":0.271378194156925,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3141509674","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":[0.00062207435,0.9888524,0.002126626,0.0024510066,0.000571433,0.000054639193,0.00021475447,0.00001592624,0.0050911293],"genre_scores_gemma":[0.007186284,0.98883635,0.0017263175,0.0010498561,0.00047267525,0.00007851411,0.00017492865,0.000014882665,0.00046021194],"study_design_codex":"design_other","study_design_gemma":"not_applicable","domain_scores_codex":[0.9966648,0.000991942,0.00055005186,0.00053844095,0.001102032,0.00015267573],"domain_scores_gemma":[0.9762684,0.018619293,0.0016383325,0.0003437203,0.0030155955,0.00011456808],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009165187,0.002246299,0.00264751,0.007958945,0.00091003266,0.0046059894,0.0043787616,0.0023704458,0.0049404646],"category_scores_gemma":[0.022151692,0.0013965566,0.002845624,0.0072564343,0.0025994675,0.007256317,0.001631597,0.0049791713,0.0017915819],"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":[0.00030108777,0.000121890036,0.001156734,0.11627488,0.00069781404,0.00061262836,0.0008512347,0.012665545,0.0011205544,0.16529728,0.042782,0.6581184],"study_design_scores_gemma":[0.000019902338,0.00023394496,0.0033112708,0.17753167,0.0010313683,0.00084801076,0.0009429716,0.0025803074,0.0014449258,0.09746733,0.71445334,0.00013492131],"about_ca_topic_score_codex":0.0076791113,"about_ca_topic_score_gemma":0.0054689143,"teacher_disagreement_score":0.009165187,"about_ca_system_score_codex":0.0068283384,"about_ca_system_score_gemma":0.0056567453,"threshold_uncertainty_score":0.04954326},"labels":[],"label_agreement":null},{"id":"W3181339460","doi":"10.1186/s13021-021-00184-5","title":"Historical and future carbon stocks in forests of northern Ontario, Canada","year":2021,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Fire effects on ecosystems","field":"Environmental Science","cited_by":4,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"University of Toronto; McMaster University; Ontario Forest Research Institute; Ministry of Natural Resources and Forestry","funders":"Ontario Ministry of Natural Resources and Forestry; Ministry of Natural Resources","keywords":"Climate change; Environmental science; Carbon stock; Ecosystem; Vegetation (pathology); Agroforestry; Carbon sequestration; Forest ecology; Stock (firearms); Greenhouse gas; Geography; Forestry; Ecology; Carbon dioxide","score_opus":0.0026285333045076094,"score_gpt":0.1575996808699991,"score_spread":0.1549711475654915,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3181339460","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":[0.98888576,0.0003794106,0.00052043085,0.00016965056,0.000007960514,0.000039695606,0.00490026,0.000045429664,0.005051398],"genre_scores_gemma":[0.99623424,0.00022747378,0.0006059439,0.000026374422,0.0000014076497,0.00001902496,0.0016350192,0.000006529485,0.0012438399],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99986124,0.000008660353,0.0000064464425,0.000028457907,0.000040308827,0.000054931894],"domain_scores_gemma":[0.9997404,0.00003063901,0.000027802505,0.000009981792,0.00014454575,0.000046597703],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00022126487,0.0002920768,0.00015665728,0.00044397643,0.0012646797,0.0008856913,0.00077826437,0.00025590564,0.0019105442],"category_scores_gemma":[0.00046422897,0.00015793755,0.00041568812,0.00082307117,0.0003973534,0.00033816136,0.000287392,0.00025860732,0.00014539655],"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":[0.00028162435,0.000112067726,0.6736205,0.00024191952,0.00022911404,0.00042776385,0.0010293813,0.29270756,0.002641921,0.0022132,0.005152353,0.021342568],"study_design_scores_gemma":[0.00010830632,0.00007496567,0.768882,0.00013304535,0.00014587001,0.00014357154,0.0018584472,0.21485513,0.0012202568,0.00096412114,0.011526971,0.00008731304],"about_ca_topic_score_codex":0.99412054,"about_ca_topic_score_gemma":0.99632347,"teacher_disagreement_score":0.03291075,"about_ca_system_score_codex":0.03291075,"about_ca_system_score_gemma":0.01884885,"threshold_uncertainty_score":0.23878533},"labels":[],"label_agreement":null},{"id":"W3196112357","doi":"10.1186/s13021-021-00188-1","title":"Two large-scale forest scenario modelling approaches for reporting CO2 removal: a comparison for the Romanian forests","year":2021,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"","funders":"Natural Resources Canada; Horizon 2020 Framework Programme; Joint Research Centre; Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","keywords":"Stock (firearms); Environmental science; Carbon stock; Forest management; Carbon accounting; Sustainable forest management; Carbon sink; Greenhouse gas; Climate change; Forestry; Agroforestry; Ecology; Geography","score_opus":0.03865808513485099,"score_gpt":0.25928157203889673,"score_spread":0.22062348690404573,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3196112357","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":[0.9561003,0.00077379146,0.024770897,0.00094821415,0.00010523271,0.0002867697,0.0031108898,0.00041457766,0.013489398],"genre_scores_gemma":[0.98457265,0.00019529258,0.013678159,0.000060743652,0.00001995418,0.0001425863,0.0008620353,0.0000681429,0.0004004515],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99784696,0.0013962328,0.00014319117,0.00027027403,0.0001825892,0.00016073398],"domain_scores_gemma":[0.99543756,0.0026175359,0.00042943325,0.00050775363,0.0008641943,0.0001434257],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0054123467,0.0008353275,0.00069864106,0.0017718188,0.0004632794,0.0016978211,0.0019345502,0.0011621509,0.0023857153],"category_scores_gemma":[0.009172955,0.00034428935,0.0015018558,0.0019550622,0.00050551,0.0015821634,0.00094688084,0.00078034477,0.00019625187],"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":[0.0005238276,0.00022704146,0.03404794,0.0002821204,0.00039386502,0.00017008495,0.00019034119,0.93707246,0.00093149825,0.0046769353,0.0012577067,0.020226223],"study_design_scores_gemma":[0.000120115095,0.00015260883,0.01987045,0.00012257764,0.00014334221,0.000083975654,0.0003791993,0.9737187,0.0012938997,0.0016362305,0.0023918855,0.00008708676],"about_ca_topic_score_codex":0.05898379,"about_ca_topic_score_gemma":0.03626932,"teacher_disagreement_score":0.05898379,"about_ca_system_score_codex":0.0031109552,"about_ca_system_score_gemma":0.0018151591,"threshold_uncertainty_score":0.11728096},"labels":[],"label_agreement":null},{"id":"W3200122150","doi":"10.1186/s13021-021-00193-4","title":"Inward- versus outward-focused bioeconomy strategies for British Columbia’s forest products industry: a harvested wood products carbon storage and emission perspective","year":2021,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Bioeconomy and Sustainability Development","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":true,"ca_institutions":"Natural Resources Canada; Pacific Institute for Climate Solutions; Canadian Forest Service; University of British Columbia","funders":"Natural Resources Canada; Pacific Institute for Climate Solutions","keywords":"Greenhouse gas; Baseline (sea); Climate change; Environmental science; Population; Natural resource economics; Biofuel; Consumption (sociology); Agricultural economics; Business; Forestry; Geography; Engineering; Economics; Ecology; Waste management","score_opus":0.016792752002547866,"score_gpt":0.21533355809701882,"score_spread":0.19854080609447095,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W3200122150","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":[0.9097756,0.0013133849,0.0020594217,0.0014203107,0.000019845651,0.00022881656,0.000985477,0.000029556484,0.08416761],"genre_scores_gemma":[0.99234796,0.0007887469,0.0013186232,0.0001856763,0.0000021788003,0.000042721025,0.00037607359,0.0000070828205,0.0049310043],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99941444,0.0001246999,0.000011944522,0.000058238304,0.00012469753,0.00026592755],"domain_scores_gemma":[0.99963725,0.00006086963,0.000027186987,0.000013847457,0.00018670478,0.00007410296],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007780107,0.00080788723,0.00024622862,0.0009847014,0.0012906123,0.003256143,0.00083458633,0.00060875266,0.0042763767],"category_scores_gemma":[0.0005247336,0.00018984644,0.0005371071,0.001430865,0.0009139442,0.0008045776,0.0008788732,0.0007771201,0.00016043258],"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":[0.0015368166,0.0011692465,0.27013287,0.0016121267,0.0009675754,0.0025065674,0.0020645042,0.39486587,0.026246324,0.10770491,0.014381985,0.17681116],"study_design_scores_gemma":[0.00046760336,0.002099805,0.498835,0.0012802439,0.0015172659,0.000553264,0.04298737,0.30474955,0.0191571,0.037895765,0.09001696,0.00043997745],"about_ca_topic_score_codex":0.80416924,"about_ca_topic_score_gemma":0.9210987,"teacher_disagreement_score":0.19583076,"about_ca_system_score_codex":0.026889324,"about_ca_system_score_gemma":0.014798388,"threshold_uncertainty_score":0.39396805},"labels":[],"label_agreement":null},{"id":"W4210758197","doi":"10.1186/s13021-022-00201-1","title":"Operational assessment tool for forest carbon dynamics for the United States: a new spatially explicit approach linking the LUCAS and CBM-CFS3 models","year":2022,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":28,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"Centre For Cold Ocean Resources Engineering","funders":"U.S. Geological Survey","keywords":"Carbon sink; Environmental science; Climate change; Greenhouse gas; Carbon cycle; Primary production; Sink (geography); Land cover; Biogeochemical cycle; Ecosystem; Carbon sequestration; Land use; Land use, land-use change and forestry; Atmospheric sciences; Carbon dioxide; Ecology; Geography","score_opus":0.012847865657224343,"score_gpt":0.2185909099880031,"score_spread":0.20574304433077875,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4210758197","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":[0.1427162,0.00051985757,0.7982424,0.0012510854,0.00013108405,0.00034935016,0.019625114,0.0065276385,0.03063726],"genre_scores_gemma":[0.66429,0.00029788387,0.32273817,0.00015791523,0.000052312047,0.0004710761,0.008906034,0.0003405476,0.0027459445],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996841,0.0000957171,0.0000254617,0.000053455362,0.00011226657,0.000028989874],"domain_scores_gemma":[0.99933594,0.00022946384,0.00009349774,0.00007304215,0.0002238947,0.0000441856],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000978468,0.0007669061,0.0003439201,0.0018038333,0.0004796791,0.0011471043,0.0012453449,0.0006808807,0.0033602654],"category_scores_gemma":[0.0027015167,0.0002761437,0.000724572,0.0011930214,0.0002351569,0.0012726664,0.00083775196,0.00056265516,0.00037810602],"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":[0.00004333567,0.000060972383,0.008312764,0.000062604115,0.00008986358,0.00008603561,0.000107499916,0.9293944,0.0008988874,0.0235188,0.0067590727,0.030665785],"study_design_scores_gemma":[0.00000993467,0.0000075985,0.0010959102,0.000015486665,0.000014051328,0.000012099205,0.000041039904,0.9874507,0.0001818685,0.005902117,0.005256483,0.000012738109],"about_ca_topic_score_codex":0.15764031,"about_ca_topic_score_gemma":0.14258942,"teacher_disagreement_score":0.15764031,"about_ca_system_score_codex":0.0023078958,"about_ca_system_score_gemma":0.0027213683,"threshold_uncertainty_score":0.3134455},"labels":[],"label_agreement":null},{"id":"W4281567204","doi":"10.1186/s13021-022-00204-y","title":"Stand carbon storage and net primary production in China’s subtropical secondary forests are predicted to increase by 2060","year":2022,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":16,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"National Key Research and Development Program of China; National Forestry and Grassland Administration","keywords":"Evergreen; Primary production; Environmental science; Deciduous; Carbon sequestration; Subtropics; Climate change; Agroforestry; Ecosystem; Forest ecology; Tropical and subtropical moist broadleaf forests; Forest management; Forestry; Ecology; Geography; Carbon dioxide; Biology","score_opus":0.0023103886620811803,"score_gpt":0.1717672867567319,"score_spread":0.1694568980946507,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4281567204","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":[0.99778795,0.00009594459,0.0007539724,0.00006232823,0.0000065094896,0.000003973722,0.0005058971,0.00004887349,0.0007345094],"genre_scores_gemma":[0.99930084,0.00003553184,0.00022838885,0.0000069681,0.0000014479945,0.0000032128594,0.00031917568,0.000002881483,0.00010145137],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9999436,0.0000071155446,0.0000036368579,0.000016704644,0.0000110991605,0.000017769387],"domain_scores_gemma":[0.9998882,0.000024544564,0.00001894361,0.000010559103,0.000036042373,0.000021696434],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00031158602,0.00052953826,0.00015866662,0.00028720763,0.0002582567,0.00043597227,0.00040333485,0.00034758248,0.000833683],"category_scores_gemma":[0.00029109072,0.00016172921,0.00056096923,0.0003751937,0.0002396631,0.00042085856,0.00019048106,0.00023585254,0.000105476836],"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":[0.0001383753,0.0000633799,0.38081384,0.00006668764,0.00014277079,0.00023639212,0.000077199235,0.60267156,0.005651964,0.0005831015,0.0008491345,0.008705621],"study_design_scores_gemma":[0.000023143437,0.000056846726,0.23190324,0.000012567315,0.0000663353,0.00005831703,0.00010548557,0.76462966,0.00188021,0.00053708005,0.00070646533,0.000020577605],"about_ca_topic_score_codex":0.060065504,"about_ca_topic_score_gemma":0.055470638,"teacher_disagreement_score":0.060065504,"about_ca_system_score_codex":0.0011290374,"about_ca_system_score_gemma":0.0008633832,"threshold_uncertainty_score":0.11943179},"labels":[],"label_agreement":null},{"id":"W4283770732","doi":"10.1186/s13021-022-00210-0","title":"Spatiotemporal dynamics of forest ecosystem carbon budget in Guizhou: customisation and application of the CBM-CFS3 model for China","year":2022,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest, Soil, and Plant Ecology in China","field":"Social Sciences","cited_by":10,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"China Postdoctoral Science Foundation; National Natural Science Foundation of China","keywords":"Environmental science; Ecosystem; Forest ecology; Climate change; Stock (firearms); Disturbance (geology); Soil carbon; Deforestation (computer science); Biomass (ecology); Agroforestry; Forestry; Atmospheric sciences; Ecology; Soil science; Geography; Soil water","score_opus":0.0068815164867958925,"score_gpt":0.23542764951804054,"score_spread":0.22854613303124466,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4283770732","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":[0.993504,0.000055776396,0.0031701457,0.00012629545,0.000019654806,0.000028291559,0.0010762605,0.00027724582,0.0017424143],"genre_scores_gemma":[0.9968829,0.000026011887,0.0020058102,0.000015446052,0.0000032658697,0.000018460887,0.00072298915,0.00002374579,0.000301466],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99982953,0.00003737693,0.00001330691,0.000052039122,0.00002456804,0.00004316269],"domain_scores_gemma":[0.9995314,0.00014597618,0.000042398195,0.00006147008,0.0001557946,0.000062916275],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00065897306,0.00079916394,0.0004822366,0.0005498328,0.0006363801,0.0007889366,0.0013592183,0.00084504526,0.0016716772],"category_scores_gemma":[0.0010522116,0.00031403112,0.0010025492,0.0007473742,0.00049790356,0.0005054734,0.0005750906,0.0005786317,0.00012394351],"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":[0.00010178973,0.000050630708,0.02888987,0.000029396573,0.000052200252,0.0001790448,0.000046857378,0.96559536,0.001737856,0.0003235278,0.00041459157,0.0025788008],"study_design_scores_gemma":[0.000049358714,0.00002354475,0.010531909,0.0000034756208,0.000024107165,0.000010582576,0.000032667143,0.98846185,0.00052630674,0.00009122954,0.00022811968,0.000016913375],"about_ca_topic_score_codex":0.3992223,"about_ca_topic_score_gemma":0.23737714,"teacher_disagreement_score":0.3992223,"about_ca_system_score_codex":0.0030773266,"about_ca_system_score_gemma":0.0022534495,"threshold_uncertainty_score":0.79379714},"labels":[],"label_agreement":null},{"id":"W4383617308","doi":"10.1186/s13021-023-00230-4","title":"A national assessment of urban forest carbon storage and sequestration in Canada","year":2023,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":34,"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; Dalhousie University","funders":"Environment and Climate Change Canada; Killam Trusts; Dalhousie University","keywords":"Carbon sequestration; Carbon sink; Urban forest; Environmental science; Forest inventory; Urban ecosystem; Environmental protection; Environmental resource management; Forestry; Climate change; Geography; Forest management; Urbanization; Agroforestry; Carbon dioxide; Ecology","score_opus":0.007306299828376304,"score_gpt":0.213069169414991,"score_spread":0.2057628695866147,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4383617308","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":[0.94177663,0.001391154,0.002322691,0.00067818735,0.0000136745875,0.00015225462,0.024523443,0.00016879237,0.02897315],"genre_scores_gemma":[0.9908019,0.00048747766,0.0018102821,0.00005797401,0.0000023445464,0.000027801198,0.0038543702,0.000010424624,0.0029474136],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.99945587,0.000027658232,0.000017820441,0.000050351973,0.00031367628,0.00013459257],"domain_scores_gemma":[0.99844813,0.000033789023,0.00005879225,0.000028343771,0.0013248224,0.000106058236],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000594389,0.00037741225,0.00026655183,0.0025304037,0.002032127,0.0013851653,0.00068587036,0.00020328912,0.0012040673],"category_scores_gemma":[0.000823527,0.00019139297,0.00039612444,0.005570881,0.0003321043,0.00044256766,0.0007367002,0.00025580198,0.00012945555],"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":[0.00030363462,0.00012824222,0.80296046,0.0003816548,0.0004372236,0.00037488094,0.0015522321,0.043328453,0.002234886,0.0062080105,0.02187215,0.120218135],"study_design_scores_gemma":[0.000017699449,0.000044332315,0.9331106,0.00013332377,0.0001658061,0.00008393586,0.0029438322,0.03888028,0.0014977818,0.000772482,0.022282371,0.000067550376],"about_ca_topic_score_codex":0.9971403,"about_ca_topic_score_gemma":0.9987349,"teacher_disagreement_score":0.047817264,"about_ca_system_score_codex":0.047817264,"about_ca_system_score_gemma":0.051097985,"threshold_uncertainty_score":0.3469401},"labels":[],"label_agreement":null},{"id":"W4390572375","doi":"10.1186/s13021-023-00246-w","title":"Forest carbon stock development following extreme drought-induced dieback of coniferous stands in Central Europe: a CBM-CFS3 model application","year":2024,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest ecology and management","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"HORIZON EUROPE European Research Council; Technology Agency of the Czech Republic","keywords":"Greenhouse gas; Carbon stock; Environmental science; Climate change; Carbon sink; Stock (firearms); Forest management; Forestry; Agroforestry; Forest ecology; Ecosystem; Geography; Environmental protection; Ecology","score_opus":0.013119040858819925,"score_gpt":0.2174627796164893,"score_spread":0.20434373875766937,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4390572375","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":[0.98961335,0.0001670454,0.002204044,0.00018764626,0.00002442301,0.000040890547,0.0030167338,0.0001348406,0.0046110293],"genre_scores_gemma":[0.9966209,0.000054322492,0.0013331845,0.00003717762,0.00000567634,0.000031132517,0.0010822224,0.000019800396,0.00081546436],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.99979025,0.00004939455,0.000011002321,0.000051824714,0.000021638129,0.00007590219],"domain_scores_gemma":[0.99940014,0.00027537535,0.000056637975,0.00003558342,0.0001591399,0.00007312951],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00082600536,0.0009989014,0.0007951898,0.00068961154,0.0008378537,0.0013544764,0.0017947288,0.002022698,0.002232639],"category_scores_gemma":[0.0011968793,0.0004425835,0.0015134751,0.00094126794,0.00074443215,0.0005306274,0.0006429879,0.00090494927,0.00014253457],"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":[0.000098265074,0.000048172875,0.00720445,0.000029215846,0.000058791917,0.00011890845,0.000018973677,0.9904647,0.0005379005,0.00046308298,0.00034326056,0.00061429205],"study_design_scores_gemma":[0.00009177458,0.00004562405,0.007120249,0.000014509052,0.000044317832,0.00002151304,0.00008304912,0.991601,0.00033525913,0.0002630774,0.00035260647,0.000026990374],"about_ca_topic_score_codex":0.36916095,"about_ca_topic_score_gemma":0.19710307,"teacher_disagreement_score":0.36916095,"about_ca_system_score_codex":0.002747332,"about_ca_system_score_gemma":0.002419202,"threshold_uncertainty_score":0.7340244},"labels":[],"label_agreement":null},{"id":"W4401565002","doi":"10.1186/s13021-024-00272-2","title":"Improving wood carbon fractions for multiscale forest carbon estimation","year":2024,"lang":"en","type":"letter","venue":"Carbon Balance and Management","topic":"Remote Sensing and LiDAR Applications","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"The Scarborough Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; U.S. Forest Service; Northern Research Station; University of Toronto; University of Toronto Scarborough; Impact Fund; U.S. Department of Agriculture","keywords":"Carbon fibers; Environmental science; Carbon sequestration; Carbon accounting; Estimation; Greenhouse gas; Forestry; Chemistry; Carbon dioxide; Materials science; Ecology; Geography; Engineering; Biology","score_opus":0.007350514834927858,"score_gpt":0.223854408282718,"score_spread":0.21650389344779014,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4401565002","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":[0.030351272,0.0010056953,0.96367157,0.00035812572,0.00012473747,0.000059922975,0.00091895735,0.0012303847,0.002279367],"genre_scores_gemma":[0.3955337,0.0010723652,0.59863096,0.0003120689,0.00031700535,0.0002313314,0.0025325879,0.00042087,0.00094904914],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961925,0.00008468185,0.000031671705,0.00014052245,0.0000771563,0.00004667295],"domain_scores_gemma":[0.9984555,0.00079941703,0.00016262157,0.00022090605,0.00029205132,0.00006949792],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0016328637,0.0010249853,0.000731356,0.0017165304,0.00051735085,0.0011709298,0.0010932132,0.0009060515,0.0028204634],"category_scores_gemma":[0.0075249015,0.0002870861,0.0011931122,0.0011764399,0.00049076544,0.0018732187,0.0012785797,0.00091162126,0.0009396891],"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":[0.00015289262,0.000079859536,0.020727595,0.00042978115,0.0002879427,0.00019604785,0.00016354048,0.56276596,0.011752275,0.028412871,0.006959594,0.36807162],"study_design_scores_gemma":[0.000011954763,0.000019547419,0.0038665193,0.00006619035,0.00004786358,0.00004578911,0.00002994664,0.9735395,0.0023929647,0.015883101,0.004068986,0.00002767462],"about_ca_topic_score_codex":0.007683563,"about_ca_topic_score_gemma":0.008353562,"teacher_disagreement_score":0.007683563,"about_ca_system_score_codex":0.0004964891,"about_ca_system_score_gemma":0.000937722,"threshold_uncertainty_score":0.015277684},"labels":[],"label_agreement":null},{"id":"W4406001006","doi":"10.1186/s13021-024-00289-7","title":"Integrating territorial pattern changes into the relationship between carbon sequestration and water yield in the Yangtze River Basin, China","year":2025,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Land Use and Ecosystem Services","field":"Environmental Science","cited_by":5,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Natural Science Foundation of Hainan Province; National Natural Science Foundation of China","keywords":"Ecosystem services; Ecosystem; Sustainable development; Environmental science; Carbon sequestration; China; Production (economics); Structural basin; Primary production; Yield (engineering); Ecology; Water resource management; Geography; Environmental resource management; Geology; Economics","score_opus":0.01187797766137933,"score_gpt":0.22274249487869202,"score_spread":0.2108645172173127,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4406001006","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":[0.99915266,0.0001041919,0.00016418596,0.00007434083,0.000002227947,0.0000024018211,0.00007271513,0.0000051260204,0.00042216395],"genre_scores_gemma":[0.99980646,0.000021596032,0.00003533161,0.00000533937,0.0000013669081,0.0000022842378,0.000052535066,7.436344e-7,0.00007444143],"study_design_codex":"observational","study_design_gemma":"observational","domain_scores_codex":[0.9998053,0.00005304681,0.000018852203,0.000051145857,0.000027695936,0.00004405845],"domain_scores_gemma":[0.9996964,0.00007751103,0.00006609479,0.000025982661,0.00006690955,0.00006716291],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004248105,0.00020108506,0.00014488048,0.0006595015,0.0002767309,0.00043202608,0.00020444141,0.00018882229,0.00081104046],"category_scores_gemma":[0.00078020804,0.00010853428,0.00032261762,0.0008252737,0.00038445918,0.00053977256,0.0005466419,0.00017281757,0.000055325185],"study_design_candidate":"observational","study_design_consensus":"observational","about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_system_candidate":false,"about_ca_system_consensus":false,"study_design_scores_codex":[0.000017761617,0.000011555499,0.9917715,0.000016227288,0.000101229234,0.00009555816,0.00028920232,0.0014790877,0.0007205745,0.00036678906,0.00012788022,0.0050025946],"study_design_scores_gemma":[0.0000012026052,0.000007959754,0.9972584,0.0000032666514,0.000024394947,0.000019398758,0.0002566693,0.0020553973,0.000056798217,0.00013449787,0.00017809443,0.0000038986714],"about_ca_topic_score_codex":0.04339469,"about_ca_topic_score_gemma":0.08089639,"teacher_disagreement_score":0.04339469,"about_ca_system_score_codex":0.0006961255,"about_ca_system_score_gemma":0.0007639978,"threshold_uncertainty_score":0.08628422},"labels":[],"label_agreement":null},{"id":"W4410547550","doi":"10.1186/s13021-025-00302-7","title":"Evaluation of climate change mitigation strategies for Irish forests using the CBM-CFS3 model","year":2025,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Forest Management and Policy","field":"Environmental Science","cited_by":3,"is_retracted":false,"has_abstract":true,"route_ca_aff":false,"route_ca_fund":true,"route_ca_venue":false,"route_about_ca":true,"ca_institutions":"","funders":"HORIZON EUROPE European Research Council; Canadian Forest Service; HORIZON EUROPE Framework Programme; U.S. Forest Service","keywords":"Climate change; Irish; Climate change mitigation; Environmental science; Agroforestry; Environmental resource management; Geography; Ecology","score_opus":0.04565846224259124,"score_gpt":0.31907179856860796,"score_spread":0.2734133363260167,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W4410547550","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":[0.9123983,0.0002262719,0.009212653,0.0006713806,0.00014469735,0.00047768737,0.015049727,0.00049043936,0.061328884],"genre_scores_gemma":[0.9866607,0.000083097824,0.0065917126,0.000095419615,0.000013340422,0.0002547291,0.0037224088,0.00004944345,0.0025292218],"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","domain_scores_codex":[0.9996146,0.00011479668,0.000014031309,0.00005741233,0.00006636355,0.0001327354],"domain_scores_gemma":[0.9988154,0.0005280025,0.000075509946,0.00006054049,0.00038860238,0.00013199635],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0019156784,0.0011748491,0.00091843726,0.0008883051,0.00086478953,0.0011756036,0.0022950757,0.0013471756,0.004829433],"category_scores_gemma":[0.001893267,0.00048865506,0.0017219835,0.0010148247,0.00061900716,0.0006860809,0.00055302575,0.0013078917,0.00039167216],"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":[0.00011901274,0.000042327905,0.0020792247,0.00003730896,0.000030839317,0.000041070904,0.000009928644,0.995125,0.00016848017,0.0005706578,0.000698262,0.0010777692],"study_design_scores_gemma":[0.00011233251,0.00008250038,0.001913679,0.000016207712,0.0000345915,0.000008461963,0.00006292833,0.9961436,0.00030336896,0.00032764644,0.0009719038,0.00002269113],"about_ca_topic_score_codex":0.407661,"about_ca_topic_score_gemma":0.2689153,"teacher_disagreement_score":0.407661,"about_ca_system_score_codex":0.0068758246,"about_ca_system_score_gemma":0.0060255257,"threshold_uncertainty_score":0.81057626},"labels":[],"label_agreement":null},{"id":"W7117106166","doi":"10.1186/s13021-025-00381-6","title":"An integrative methodology to estimate high-resolution carbon stock and fluxes: a case study in the old-growth forests of the Chilean Patagonia","year":2025,"lang":"en","type":"article","venue":"Carbon Balance and Management","topic":"Plant Water Relations and Carbon Dynamics","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"route_ca_aff":true,"route_ca_fund":false,"route_ca_venue":false,"route_about_ca":false,"ca_institutions":"Université du Québec à Montréal","funders":"Agencia Nacional de Investigación y Desarrollo; Innovative Research Group Project of the National Natural Science Foundation of China","keywords":"Eddy covariance; Carbon flux; Carbon stock; Carbon sequestration; Carbon offset; Ecosystem; Climate change; Carbon cycle; Carbon sink; Stock (firearms)","score_opus":0.010935254764922568,"score_gpt":0.27761404158714126,"score_spread":0.2666787868222187,"validation_status":"score_only:v0-immature-baseline","prediction":{"id":"W7117106166","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":[0.6948683,0.00047082623,0.29369876,0.0005922367,0.000021382422,0.00032285415,0.0014920939,0.00063193904,0.007901623],"genre_scores_gemma":[0.86818737,0.00013288946,0.1303153,0.00003658481,0.000010340458,0.0001543095,0.00038087813,0.000045267465,0.0007370444],"study_design_codex":"simulation_or_modeling","study_design_gemma":"observational","domain_scores_codex":[0.99961734,0.00015428162,0.000021144455,0.0001107626,0.00007177075,0.000024750732],"domain_scores_gemma":[0.9991021,0.0003513875,0.00015672592,0.00016009546,0.00019140844,0.000038249535],"candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0015038971,0.0007148658,0.00037953016,0.0011640954,0.00053658086,0.0011126095,0.0009786339,0.00058743183,0.00076778687],"category_scores_gemma":[0.0029256286,0.00020526256,0.00033447528,0.0024005864,0.00044364858,0.0008008525,0.00084936176,0.00051534234,0.00009887919],"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":[0.00017411825,0.00048684754,0.29281864,0.00045506656,0.0005882586,0.0021945792,0.0019234032,0.41837636,0.015512529,0.014760453,0.0024819388,0.2502279],"study_design_scores_gemma":[0.00006130178,0.000118935466,0.108143345,0.00009580467,0.00011220631,0.0005793945,0.0014704432,0.86433554,0.009883916,0.0095841875,0.005516618,0.00009835349],"about_ca_topic_score_codex":0.033280972,"about_ca_topic_score_gemma":0.043679938,"teacher_disagreement_score":0.033280972,"about_ca_system_score_codex":0.0009144254,"about_ca_system_score_gemma":0.0010175713,"threshold_uncertainty_score":0.06617451},"labels":[],"label_agreement":null}]}